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Office of Scientific and Technical Information
Evaluation of a Fast-Running Urban Dispersion Modeling System Using Joint Urban 2003 Field Data
Science Conference Proceedings (OSTI)
An urban dispersion modeling system was evaluated using the Joint Urban 2003 field data. The system consists of a fast-running urban airflow model (RUSTIC, for Realistic Urban Spread and Transport of Intrusive Contaminants) that is coupled with a ...
Eric A. Hendricks; Steve R. Diehl; Donald A. Burrows; Robert Keith
Run-time Modeling and Estimation of Operating System Power Consumption
E-Print Network (OSTI)
software power evaluation, as well as power management (e.g. dynamic thermal control and equal energy of a commercial OS across a wide spectrum of applications to understand OS energy profiles and then proposes to track run- time OS energy profiles, the proposed routine level OS power model offers superior accuracy
John, Lizy Kurian
Edison batch system is up and running
NLE Websites -- All DOE Office Websites (Extended Search)
batch system is up and running Edison batch system is up and running July 25, 2013 (0 Comments) Edison batch system is up and running. Cray benchmark team and NERSC staff have...
Long-Run Equilibrium Modeling of Emissions Allowance Allocation Systems in Electric Power Markets
Carbon dioxide allowance trading systems for electricity generators are in place in the European Union and in several U.S. states. An important question in the design of such systems is how allowances are to be initially allocated: by auction, by giving ... Keywords: Equilibrium programming, economics, electricity and emissions markets, model properties and applications
Jinye Zhao; Benjamin F. Hobbs; Jong-Shi Pang
A luminosity model of RHIC gold runs
SciTech Connect
In this note, we present a luminosity model for RHIC gold runs. The model is applied to the physics fills in 2007 run without cooling, and with the longitudinal cooling applied to one beam only. Having good comparison, the model is used to project a fill with the longitudinal cooling applied to both beams. Further development and possible applications of the model are discussed. To maximize the integrated luminosity, usually the higher beam intensity, smaller longitudinal and transverse emittance, and smaller {beta} are the directions to work on. In past 10 years, the RHIC gold runs have demonstrated a path toward this goal. Most recently, a successful commissioning of the bunched beam stochastic cooling, both longitudinal and transverse, has offered a chance of further RHIC luminosity improvement. With so many factors involved, a luminosity model would be useful to identify and project gains in the machine development. In this article, a preliminary model is proposed. In Section 2, several secondary factors, which are not yet included in the model, are identified based on the RHIC operation condition and experience in current runs. In Section 3, the RHIC beam store parameters used in the model are listed, and validated. In Section 4, the factors included in the model are discussed, and the luminosity model is presented. In Section 5, typical RHIC gold fills without cooling, and with partial cooling are used for comparison with the model. Then a projection of fills with more coolings is shown. In Section 6, further development of the model is discussed.
Zhang, S.Y.
Computing Models of CDF and D0 in Run II
The next collider run of the Fermilab Tevatron, Run II, is scheduled for autumn of 1999. Both experiments, the Collider Detector at Fermilab (CDF) and the D0 experiment are being modified to cope with the higher luminosity and shorter bunch spacing of the Tevatron. New detector components, higher event complexity, and an increased data volume require changes from the data acquisition systems up to the analysis systems. In this paper we present a summary of the computing models of the two experiments for Run II.
Lammel, S.
The D0 run II trigger system
The D0 detector at the Fermilab Tevatron was upgraded for Run II. This upgrade included improvements to the trigger system in order to be able to handle the increased Tevatron luminosity and higher bunch crossing rates compared to Run I. The D0 Run II trigger is a highly exible system to select events to be written to tape from an initial interaction rate of about 2.5 MHz. This is done in a three-tier pipelined, buffered system. The first tier (level 1) processes fast detector pick-off signals in a hardware/firmware based system to reduce the event rate to about 1. 5kHz. The second tier (level 2) uses information from level 1 and forms simple Physics objects to reduce the rate to about 850 Hz. The third tier (level 3) uses full detector readout and event reconstruction on a filter farm to reduce the rate to 20-30 Hz. The D0 trigger menu contains a wide variety of triggers. While the emphasis is on triggering on generic lepton and jet final states, there are also trigger terms for specific final state signatures. In this document we describe the D0 trigger system as it was implemented and is currently operating in Run II.
Schwienhorst, Reinhard; /Michigan State U.
Running Jobs with the UGE Batch System
Jobs Jobs Running Jobs Submitting Jobs How to submit your job to the UGE. Read More » Running with Java Solutions to some of the common problems users have with running on Genepool when the JVM is part of their workflow. Read More » Batch Script Examples Sample batch scripts for Genepool/Phoebe highlighting queue selection, setting the run time and requesting large amounts of memory. Read More » Interactive Jobs How to run your workflow on the interactive nodes. Read More » Job Arrays Job arrays are a way to efficiently submit large numbers of jobs. Read More » Parallel Batch Scripts This page has examples of how to run parallel jobs on Genepool. Read More » Best Practices - and Practices to Avoid Things users should do to run jobs efficiently using UGE. Read More »
First operational experience with the CMS Run Control System
The Run Control System of the Compact Muon Solenoid (CMS) experiment at CERN's new Large Hadron Collider (LHC) controls the sub-detector and central data acquisition systems and the high-level trigger farm of the experiment. ...
Bauer, Gerry P.
Performance monitoring strategies for effective running of commercial refrigeration systems
Refrigeration systems often represent the largest electricity consumers in the supermarkets. Therefore there is a clear need for running these systems effectively. Performance monitoring uses different techniques to determine the actual system state. ... Keywords: COP, FDD, energy monitoring, performance measure, refrigeration
Martin Hrn?�r; Petr Stluka
Spent Fuel Drying System Test Results (Dry-Run in Preparation for Run 8)
The water-filled K-Basins in the Hanford 100 Area have been used to store N-Reactor spent nuclear fuel (SNF) since the 1970s. Because some leaks in the basin have been detected and some of the fuel is breached due to handling damage and corrosion, efforts are underway to remove the fuel elements from wet storage. An Integrated Process Strategy (IPS) has been developed to package, dry, transport, and store these metallic uranium fuel elements in an interim storage facility on the Hanford Site (WHC 1995). Information required to support the development of the drying processes, and the required safety analyses, is being obtained from characterization tests conducted on fuel elements removed from the K-Basins. A series of whole element drying tests (reported in separate documents, see Section 7.0) have been conducted by Pacific Northwest National Laboratory (PNNL)(a)on several intact and damaged fuel elements recovered from both the K-East and K-West Basins. This report documents the results of a test ''dry-run'' conducted prior to the eighth and last of those tests, which was conducted on an N-Reactor outer fuel element removed from K-West canister6513U. The system used for the dry-run test was the Whole Element Furnace Testing System, described in Section 2.0, located in the Postirradiation Testing Laboratory (PTL, 327 Building). The test conditions and methodologies are given in Section 3.0. The experimental results are provided in Section 4.0 and discussed Section 5.0.
BM Oliver; GS Klinger; J Abrefah; SC Marschman; PJ MacFarlan; GA Ritter
Power Systems Development Facility Gasification Test Run TC11
This report discusses Test Campaign TC11 of the Kellogg Brown & Root, Inc. (KBR) Transport Gasifier train with a Siemens Westinghouse Power Corporation (Siemens Westinghouse) particle filter system at the Power Systems Development Facility (PSDF) located in Wilsonville, Alabama. The Transport Gasifier is an advanced circulating fluidized-bed gasifier designed to operate as either a combustor or a gasifier in air- or oxygen-blown mode of operation using a particulate control device (PCD). Test run TC11 began on April 7, 2003, with startup of the main air compressor and the lighting of the gasifier start-up burner. The Transport Gasifier operated until April 18, 2003, when a gasifier upset forced the termination of the test run. Over the course of the entire test run, gasifier temperatures varied between 1,650 and 1,800 F at pressures from 160 to 200 psig during air-blown operations and around 135 psig during enriched-air operations. Due to a restriction in the oxygen-fed lower mixing zone (LMZ), the majority of the test run featured air-blown operations.
Southern Company Services
Spent fuel drying system test results (first dry-run)
DOE Green Energy (OSTI)
The water-filled K-Basins in the Hanford 100 Area have been used to store N-Reactor spent nuclear fuel (SNF) since the 1970s. Because some leaks in the basin have been detected and some of the fuel is breached due to handling damage and corrosion, efforts are underway to remove the fuel elements from wet storage. An Integrated Process Strategy (IPS) has been developed to package, dry, transport, and store these metallic uranium fuel elements in an interim storage facility on the Hanford Site. Information required to support the development of the drying processes, and the required safety analyses, is being obtained from characterization tests conducted on fuel elements removed from the K-Basins. A series of whole element drying tests (reported in separate documents, see Section 7.0) have been conducted by Pacific Northwest National Laboratory (PNNL) on several intact and damaged fuel elements recovered from both the K-East and K-West Basins. This report documents the results of the first dry-run test, which was conducted without a fuel element. The empty test apparatus was subjected to a combination of low- and high-temperature vacuum drying treatments that were intended to mimic, wherever possible, the fuel treatment strategies of the IPS. The data from this dry-run test can serve as a baseline for the first two fuel element tests, 1990 (Run 1) and 3128W (Run 2). The purpose of this dry-run was to establish the background levels of hydrogen in the system, and the hydrogen generation and release characteristics attributable to the test system without a fuel element present. This test also serves to establish the background levels of water in the system and the water release characteristics. The system used for the drying test series was the Whole Element Furnace Testing System, described in Section 2.0, which is located in the Postirradiation Testing Laboratory (PTL, 327 Building). The test conditions and methodology are given in section 3.0, and the experimental results provided in Section 4.0. These results are further discussed in Section 5.0.
Klinger, G.S.; Oliver, B.M.; Abrefah, J.; Marschman, S.C.; MacFarlan, P.J.; Ritter, G.A.
Power Systems Development Facility Gasification Test Run TC07
This report discusses Test Campaign TC07 of the Kellogg Brown & Root, Inc. (KBR) Transport Reactor train with a Siemens Westinghouse Power Corporation (Siemens Westinghouse) particle filter system at the Power Systems Development Facility (PSDF) located in Wilsonville, Alabama. The Transport Reactor is an advanced circulating fluidized-bed reactor designed to operate as either a combustor or a gasifier using a particulate control device (PCD). The Transport Reactor was operated as a pressurized gasifier during TC07. Prior to TC07, the Transport Reactor was modified to allow operations as an oxygen-blown gasifier. Test Run TC07 was started on December 11, 2001, and the sand circulation tests (TC07A) were completed on December 14, 2001. The coal-feed tests (TC07B-D) were started on January 17, 2002 and completed on April 5, 2002. Due to operational difficulties with the reactor, the unit was taken offline several times. The reactor temperature was varied between 1,700 and 1,780 F at pressures from 200 to 240 psig. In TC07, 679 hours of solid circulation and 442 hours of coal feed, 398 hours with PRB coal and 44 hours with coal from the Calumet mine, and 33 hours of coke breeze feed were attained. Reactor operations were problematic due to instrumentation problems in the LMZ resulting in much higher than desired operating temperatures in the reactor. Both reactor and PCD operations were stable and the modifications to the lower part of the gasifier performed well while testing the gasifier with PRB coal feed.
Floodplain modeling for Paddy's Run at the DOE Fernald Site
The restoration work for an intermittent stream, Paddy's Run, in the boundaries of the U.S. Department of Energy (DOE) Fernald Site, Ohio, managed by Fluor Fernald, involved floodplain expansion and the installation of grade control structures. Floodplain ... Keywords: Fernald, HEC-RAS, RiverCAD, floodplain, surface water
Marek H. Zaluski; Mark A. Ewanic; Steve D. Dunstan
Quantifying disturbance rejection of SLIP-like running systems
The speed and maneuverability at which legged animals can travel across rough and cluttered landscapes has provided inspiration for the development of legged robots with similar capabilities. Researchers have developed a number of robots that can run ... Keywords: Legged robot, biologically-inspired robot, disturbance rejection, stability
Bruce Miller; John Schmitt; Jonathan E Clark
Run-time validation of knowledge-based systems
As knowledge bases become more complex it is increasingly unlikely that they will have been validated against all possible data and therefore an increasing risk of making errors. Run-time validation is checking whether the output of a knowledge base ... Keywords: anomalies, outliers, prudence, ripple-down rules, validation
Angela Finlayson, Paul Compton
Spent fuel drying system test results (second dry-run)
The water-filled K-Basins in the Hanford 100 Area have been used to store N-Reactor spent nuclear fuel (SNF) since the 1970s. Because some leaks have been detected in the basins and some of the fuel is breached due to handling damage and corrosion, efforts are underway to remove the fuel elements from wet storage. An Integrated Process Strategy (IPS) has been developed to package, dry, transport, and store these metallic uranium fuel elements in an interim storage facility on the Hanford Site (WHC 1995). Information required to support the development of the drying processes, and the required safety analyses, is being obtained from characterization tests conducted on fuel elements removed from the K-Basins. A series of whole element drying tests (reported in separate documents, see Section 7.0) have been conducted by Pacific Northwest National Laboratory (PNNL) on several intact and damaged fuel elements recovered from both the K-East and K-West Basins. This report documents the results of the second dry-run test, which was conducted without a fuel element. With the concurrence of project management, the test protocol for this run, and subsequent drying test runs, was modified. These modifications were made to allow for improved data correlation with drying procedures proposed under the IPS. Details of these modifications are discussed in Section 3.0.
Initial steps towards run-time support for norm-governed systems
We present a knowledge representation framework with an associated run-time support infrastructure that is able to compute, for the benefit of the members of a norm-governed multi-agent system, the physically possible and permitted actions at each time, ... Keywords: GOLEM, event calculus, run-time service, social interaction
Visara Urovi; Stefano Bromuri; Kostas Stathis; Alexander Artikis
Uncertainty quantification given discontinuous climate model response and a limited number of model runs.
Uncertainty quantification in complex climate models is challenged by the sparsity of available climate model predictions due to the high computational cost of model runs. Another feature that prevents classical uncertainty analysis from being readily applicable is bifurcative behavior in climate model response with respect to certain input parameters. A typical example is the Atlantic Meridional Overturning Circulation. The predicted maximum overturning stream function exhibits discontinuity across a curve in the space of two uncertain parameters, namely climate sensitivity and CO2 forcing. We outline a methodology for uncertainty quantification given discontinuous model response and a limited number of model runs. Our approach is two-fold. First we detect the discontinuity with Bayesian inference, thus obtaining a probabilistic representation of the discontinuity curve shape and location for arbitrarily distributed input parameter values. Then, we construct spectral representations of uncertainty, using Polynomial Chaos (PC) expansions on either side of the discontinuity curve, leading to an averaged-PC representation of the forward model that allows efficient uncertainty quantification. The approach is enabled by a Rosenblatt transformation that maps each side of the discontinuity to regular domains where desirable orthogonality properties for the spectral bases hold. We obtain PC modes by either orthogonal projection or Bayesian inference, and argue for a hybrid approach that targets a balance between the accuracy provided by the orthogonal projection and the flexibility provided by the Bayesian inference - where the latter allows obtaining reasonable expansions without extra forward model runs. The model output, and its associated uncertainty at specific design points, are then computed by taking an ensemble average over PC expansions corresponding to possible realizations of the discontinuity curve. The methodology is tested on synthetic examples of discontinuous model data with adjustable sharpness and structure.
Safta, Cosmin; Debusschere, Bert J.; Najm, Habib N.; Sargsyan, Khachik
Selection of tau leptons with the CDF Run 2 trigger system
We have implemented triggers for hadronically decaying tau leptons within a framework of the CDF Run 2 trigger system. We describe the triggers, along with their physics motivations, and report on their initial performance.
A. Anastassov; S. Baroiant; M. Chertok
Repo Runs
This paper develops a model of financial institutions that borrow shortterm and invest into long-term marketable assets. Because these financial intermediaries perform maturity transformation, they are subject to runs. We endogenize the profits of the intermediary and derive distinct liquidity and solvency conditions that determine whether a run can be prevented. We first characterize these conditions for an isolated intermediary and then generalize them to the case where the intermediary can sell assets to prevent runs. The sale of assets can eliminate runs if the intermediary is solvent but illiquid. However, because of cash-in-the-market pricing, this becomes less likely the more intermediaries are facing problems. In the limit, in case of a general market run, no intermediary can sell assets to forestall a run, and our original solvency and liquidity constraints are again relevant for the stability of financial institutions.
Antoine Martin; David Skeie; Ernst-ludwig Von Thadden
Simple Dynamic Gasifier Model That Runs in Aspen Dynamics
Gasification (or partial oxidation) is a vital component of 'clean coal' technology. Sulfur and nitrogen emissions can be reduced, overall energy efficiency is increased, and carbon dioxide recovery and sequestration are facilitated. Gasification units in an electric power generation plant produce a fuel for driving combustion turbines. Gasification units in a chemical plant generate gas, which can be used to produce a wide spectrum of chemical products. Future plants are predicted to be hybrid power/chemical plants with gasification as the key unit operation. The widely used process simulator Aspen Plus provides a library of models that can be used to develop an overall gasifier model that handles solids. So steady-state design and optimization studies of processes with gasifiers can be undertaken. This paper presents a simple approximate method for achieving the objective of having a gasifier model that can be exported into Aspen Dynamics. The basic idea is to use a high molecular weight hydrocarbon that is present in the Aspen library as a pseudofuel. This component should have the same 1:1 hydrogen-to-carbon ratio that is found in coal and biomass. For many plantwide dynamic studies, a rigorous high-fidelity dynamic model of the gasifier is not needed because its dynamics are very fast and the gasifier gas volume is a relatively small fraction of the total volume of the entire plant. The proposed approximate model captures the essential macroscale thermal, flow, composition, and pressure dynamics. This paper does not attempt to optimize the design or control of gasifiers but merely presents an idea of how to dynamically simulate coal gasification in an approximate way.
Robinson, P.J.; Luyben, W.L. [Lehigh University, Bethlehem, PA (United States). Dept. of Chemical Engineering
Long-run models of oil stock prices
The identification of the forces that drive oil stock prices is extremely important given the size of the Oil & Gas industry and its links with the energy sector and the environment. In the next decade oil companies will have to deal with international ... Keywords: C32, Cointegration, Energy, Environment, Hydrocarbon fuels, L71, Non-renewable resources, Oil companies, Oil stock prices, Q30, Q40, Vector error correction models
Alessandro Lanza; Matteo Manera; Margherita Grasso; Massimo Giovannini
How Long For the Long-Run Equilibrium in a Cointegration System?
In economics the period of "long-run" often signifies the length of time within which transient fluctuations disappear, and a system eventually comes back to an equilibrium state (or path), if any. Among some interesting cases of long run analysis, the concept of cointegration is a relatively new concept of the long run equilibrium. This paper discusses how to determine the length of the long-run period for a cointegration relation. In an application to a consumption-income relation we found that the length of the long-run period for the relation is about ten quarters. Keywords: Long run equilibrium, cointegration. 1 Department of Economics, State University of New York - Albany, Albany, NY 12222. (518) 442-4926, firstname.lastname@example.com 1 1 Introduction The concept of cointegration defined by Engle and Granger (1987) has become useful for analyzing linear dynamic systems in economics. The existence of a cointegration relation among a set of variables implies that there exists a...
How Long; Long-run Equilibrium; Jae-young Kim; Jae-young Kim
Statistical emulation of climate model projections based on precomputed GCM runs
We describe a new approach for emulating the output of a fully coupled climate model under arbitrary forcing scenarios that is based on a small set of precomputed runs from the model. We express temperature and precipitation as simple functions of ...
Stefano Castruccio; David J. McInerney; Michael L. Stein; Feifei Liu; Robert L. Jacob; Elisabeth J. Moyer
A new coupled fluid-structure modeling methodology for running ductile fracture
A coupled fluid-structure modeling methodology for running ductile fracture in pressurized pipelines has been developed. The pipe material and fracture propagation have been modeled using the finite-element method with a ductile fracture criterion. The ... Keywords: CFD, FEM, Fluid-structure, Fracture, Leak, Pipeline
H. O. Nordhagen; S. Kragset; T. Berstad; A. Morin; C. D�rum; S. T. Munkejord
The RHIC coupling correction system has been commissioned during the year 2000 run, which marked the successful first year of operation of the machine. The RHIC coupling correction system is described with particular emphasis on its flexibility, which allows using both global and local coupling compensation techniques. Coupling measurements and correction data are presented for the RHIC Blue and Yellow rings, together with the procedure used to reduce the minimum tune separation to 0.001, the typical resolution for tune measurements during run 2000. They further demonstrate how local coupling compensation in the interaction regions substantially reduces the strength of the skew quadrupole families used for global coupling compensation.
The RHIC coupling correction system has been commissioned during the Year 2000 run, which marked the successful first year of operation of the machine. The RHIC coupling correction system is described with particular emphasis on its flexibility, which allows using both global and local coupling compensation techniques. Coupling measurements and correction data are presented for the RHIC Blue and Yellow rings, together with the procedure used to reduce the minimum tune separation to 0.001, the typical resolution for tune measurements during run 2000. They further demonstrate how local coupling compensation in the interaction region substantially reduces the strength of the skew quadrupole families used for global coupling compensation.
Emergent Run-and-Tumble Behavior in a Simple Model of Chlamydomonas with Intrinsic Noise
Recent experiments on the green alga Chlamydomonas that swims using synchronized beating of a pair of flagella have revealed that it exhibits a run-and-tumble behavior similar to that of bacteria such as E. Coli. Using a simple purely hydrodynamic model that incorporates a stroke cycle and an intrinsic Gaussian white noise, we show that a stochastic run-and-tumble behavior could emerge, due to the nonlinearity of the combined synchronization-rotation-translation dynamics. This suggests the intriguing possibility that the alga might exploit nonlinear mechanics---as opposed to sophisticated biochemical circuitry as used by bacteria---to control its behavior.
Rachel R. Bennett; Ramin Golestanian
The NCAR Climate System Model, Version One
The NCAR Climate System Model, version one, is described. The spinup procedure prior to a fully coupled integration is discussed. The fully coupled model has been run for 300 yr with no surface flux corrections in momentum, heat, or freshwater. ...
Byron A. Boville; Peter R. Gent
FAQs Queueing and Running on BG/P Systems | Argonne Leadership Computing
Reservations Queueing Running Jobs HTC Mode MPMD and MPIEXEC FAQs Queueing and Running Debugging and Profiling Performance Tools and APIs IBM References Software and Libraries Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] FAQs Queueing and Running on BG/P Systems Contents Is there a limit on stack size? What are typical boot times for a job My job had empty stdout, and the stderr looks like it died immediately after it started. What happened? Where can I find the details of a job submission? Back to top Is there a limit on stack size? There is no strict limit on the stack size. The stack and heap grow towards each other until a collision occurs. If your job terminates with an error
Improved interval estimation of long run response from a dynamic linear model: A highest density region approach
This paper proposes a new method of interval estimation for the long run response (or elasticity) parameter from a general linear dynamic model. We employ the bias-corrected bootstrap, in which small sample biases associated with the parameter estimators ... Keywords: ARDL model, Bias-correction, Bootstrapping, Highest density region, Long run elasticity
Jae H. Kim; Iain Fraser; Rob J. Hyndman
Cloud Coverage in the Joint OSSE Nature Run
A successful observing system simulation experiment (OSSE) is fundamentally dependent on the simulation of the global observing system used in the experiment. In many applications, a free-running numerical model simulation, called a nature run, is ...
Will McCarty; Ronald M. Errico; Ronald Gelaro
Enabling run-time memory data transfer optimizations at the system level with automated extraction of embedded software metadata information
The information about the run-time behavior of software applications is crucial for enabling system level optimizations for embedded systems. This embedded Software Metadata information is especially important today, because several complex multi-threaded ...
Alexandros Bartzas; Miguel Peon-Quiros; Stylianos Mamagkakis; Francky Catthoor; Dimitrios Soudris; Jose M. Mendias
The Community Climate System Model Version 4
The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all CCSM components, and documents fully coupled preindustrial control runs ...
Peter R. Gent; Gokhan Danabasoglu; Leo J. Donner; Marika M. Holland; Elizabeth C. Hunke; Steve R. Jayne; David M. Lawrence; Richard B. Neale; Philip J. Rasch; Mariana Vertenstein; Patrick H. Worley; Zong-Liang Yang; Minghua Zhang
ParaGraph-RTS: A parallel reduction-based run-time system
We are investigating the use of the functional programming paradigm on multiprocessor computers. We have developed a parallel graph reduction run-time system called ParaGraph-RTS (Parallel Graph Reduction) that provides both significant amounts of exploitable parallelism and the robustness to support development of large scientific codes. This system allows us to empirically investigate the functional programming paradigm within computationally intensive application domains. In this paper, we describe an implementation of ParaGraph-RTS on a shared-memory multiprocessor. The implementation strategy reflects insights gained through performance characterizations of the reduction process. Preliminary performance results and analyses are presented. 8 refs., 4 figs.
Yantis, B.; Rich, D.; Michelsen, R.
Running jobs on Euclid
Running jobs Running jobs Running jobs Overview and Basic Description Euclid is a single node system with 48 processors. It supports both multiprocessing (MPI) and multithreading programming models. Interactive Jobs All Euclid jobs are interactive. To launch an MPI job, type in this at the shell prompt: % mpirun -np numprocs executable_name where numprocs is the total number of MPI processes that will be executed. Interactive Usage Policy Due to the dynamic and unpredictable nature of visualization and data analysis, NERSC will attempt to provide equitable access to Euclid's resources through the enforcement of certain usage guidelines. The most crucial resources are the processor cores (48) and memory (512 GB). Processor Core Usage Policy No single interactive job should use more than 12 processor cores. A single
A Comparison of Climates Simulated by a General Circulation Model when Run in the Annual Cycle and Perpetual Modes
A comparison is made between the climate simulated by the Canadian Climate Centre (CCC) General Circulation Model when run its usual �annual cycle�mode, in which the solar declination angle varies annually, and the climate which is simulated when ...
F. W. Zwiers; G. J. Boer
Running Jobs on Edison
jobs Running jobs For Edison Phase 1 users You can run jobs in the same way as you did on the phase 1 system, but keep in mind that the number of cores per node is 24 instead of...
The Inverse Ocean Modeling System. Part II: Applications
The Inverse Ocean Modeling (IOM) System is a modular system for constructing and running weak-constraint four-dimensional variational data assimilation (W4DVAR) for any linear or nonlinear functionally smooth dynamical model and observing array. ...
J. C. Muccino; H. Luo; H. G. Arango; D. Haidvogel; J. C. Levin; A. F. Bennett; B. S. Chua; G. D. Egbert; B. D. Cornuelle; A. J. Miller; E. Di Lorenzo; A. M. Moore; E. D. Zaron
The online system of the PHENIX experiment in the RHIC run 5
PHENIX [1] is one of two large experiments at Brookhaven National Laboratory's Relativistic Heavy Ion Collider (RHIC). At the time of this conference, the Run 5 of RHIC is in progress and has been very successful so far. Compared to the previous run, ...
Martin L. Purschke
CMS Runs
Runs Runs Web Based Monitoring Run Summary DQM Run Registry Commissioning & Run Coordination Online WorkBook Global Run Data Analysis FNAL ROC Process Summary [May-Dec 2007] Text output of Run Summary Global File List in dCache Directory Index DBS Discovery Aug 2008: ROOT Jul 2008: ROOT Jun 2008: ROOT May 2008: ROOT Mar 2008: ROOT Nov/Dec 2007: Streamer ROOT Sep 2007: Streamer ROOT Aug 2007: Streamer ROOT Jul 2007: Streamer ROOT Jun 2007: Streamer ROOT DQM May 2007: Streamer ROOT DQM PhEDEx Transfer State Cruzet4 Files Transferred Cruzet3 Files Transferred Cruzet2 Files Transferred GlobalCruzet1 Files Transferred GlobalMar08 Files Transferred to FNAL GlobalNov07 Files Transferred to FNAL GlobalSep07 Files Transferred to FNAL GlobalAug07 Files Transferred to FNAL
The Inverse Ocean Modeling System. Part I: Implementation
The Inverse Ocean Modeling (IOM) system constructs and runs weak-constraint, four-dimensional variational data assimilation (W4DVAR) for any dynamical model and any observing array. The dynamics and the observing algorithms may be nonlinear but ...
A. F. Bennett; B. S. Chua; B. L. Pflaum; M. Erwig; Z. Fu; R. D. Loft; J. C. Muccino
Search for non-standard model signatures in the WZ/ZZ final state at CDF run II
This thesis discusses a search for non-Standard Model physics in heavy diboson production in the dilepton-dijet final state, using 1.9 fb{sup -1} of data from the CDF Run II detector. New limits are set on the anomalous coupling parameters for ZZ and WZ production based on limiting the production cross-section at high {cflx s}. Additionally limits are set on the direct decay of new physics to ZZ andWZ diboson pairs. The nature and parameters of the CDF Run II detector are discussed, as are the influences that it has on the methods of our analysis.
Norman, Matthew; /UC, San Diego
Comparison of CAISO-run Plexos output with LLNL-run Plexos output
In this report we compare the output of the California Independent System Operator (CAISO) 33% RPS Plexos model when run on various computing systems. Specifically, we compare the output resulting from running the model on CAISO's computers (Windows) and LLNL's computers (both Windows and Linux). We conclude that the differences between the three results are negligible in the context of the entire system and likely attributed to minor differences in Plexos version numbers as well as the MIP solver used in each case.
Schmidt, A; Meyers, C; Smith, S
Modeling the Downwelling Longwave Radiation over a Groomed Ski Run under Clear Skies
The surface radiation budget of a groomed ski run is important to ski racing. Variables such as snow-surface temperature and liquid water content depend upon the surface radiation budget and are crucial to preparing fast skis. This case study ...
Rosie Howard; Roland Stull
Distribution Management System Planning Guide: How to Run a Distribution Automation Program
The purpose of this distribution automation (DA) guide is to provide a comprehensive volume from which a DA project manager or project team member faced with making choices about a DA deployment can learn about the key issues, key decision points, and pros and cons of each choice that in the end will lead to a successful outcome. Success, in the case of a DA deployment, is not merely about doing a good job in selecting a vendor, managing a successful proof of concept, running a strong pilot, or even ...
Multiple system modelling of waste management
Highlights: > Linking of models will provide a more complete, correct and credible picture of the systems. > The linking procedure is easy to perform and also leads to activation of project partners. > The simulation procedure is a bit more complicated and calls for the ability to run both models. - Abstract: Due to increased environmental awareness, planning and performance of waste management has become more and more complex. Therefore waste management has early been subject to different types of modelling. Another field with long experience of modelling and systems perspective is energy systems. The two modelling traditions have developed side by side, but so far there are very few attempts to combine them. Waste management systems can be linked together with energy systems through incineration plants. The models for waste management can be modelled on a quite detailed level whereas surrounding systems are modelled in a more simplistic way. This is a problem, as previous studies have shown that assumptions on the surrounding system often tend to be important for the conclusions. In this paper it is shown how two models, one for the district heating system (MARTES) and another one for the waste management system (ORWARE), can be linked together. The strengths and weaknesses with model linking are discussed when compared to simplistic assumptions on effects in the energy and waste management systems. It is concluded that the linking of models will provide a more complete, correct and credible picture of the consequences of different simultaneous changes in the systems. The linking procedure is easy to perform and also leads to activation of project partners. However, the simulation procedure is a bit more complicated and calls for the ability to run both models.
Eriksson, Ola, E-mail: firstname.lastname@example.com [Profu i Goeteborg AB, Goetaforsliden 13 Nedre, SE 431 34 Moelndal (Sweden); Department of Building, Energy and Environmental Engineering, University of Gaevle, SE 801 76 Gaevle (Sweden); Bisaillon, Mattias, E-mail: email@example.com [Profu i Goeteborg AB, Goetaforsliden 13 Nedre, SE 431 34 Moelndal (Sweden)
Fermilab DART run control
DART is the high speed, Unix based data acquisition system being developed by Fermilab in collaboration with seven High Energy Physics Experiments. This paper describes DART run control, which has been developed over the past year and is a flexible, distributed, extensible system for the, control and monitoring of the data acquisition systems. We discuss the unique and interesting concepts of the run control and some of our experiences in developing it. We also give a brief update and status of the whole DART system.
Oleynik, G.; Engelfried, J.; Mengel, L. [and others
Evaluating Modeled Intra- to Multidecadal Climate Variability Using Running Mann�Whitney Z Statistics
An analysis method previously used to detect observed intra- to multidecadal (IMD) climate regimes was adapted to compare observed and modeled IMD climate variations. Pending the availability of the more appropriate phase 5 Coupled Model ...
Steven A. Mauget; Eugene C. Cordero; Patrick T. Brown
Running Jobs on Franklin
jobs jobs Running jobs Job Launch Overview Parallel applications can not run on the login nodes. They must be launched onto the compute nodes via the aprun command. Read More » Interactive Jobs Interactive jobs may be run on Franklin by requesting resources from the batch system. "qsub -I -V -q interactive -lmppwidth=[num_cores]" is the basic command to request interactive resources. Read More » Submitting Batch Jobs Basic batch scripts, torque keywords. Sample scripts for advanced work flows: running multiple jobs, MPMD jobs, job dependencies. Read More » Queues and Policies Queue configuration and limits, policies and tips for getting your job through the queue faster. Read More » Monitoring Jobs Once a job is submitted it can be monitored, held, deleted and in some
jobs jobs Running jobs Quick Instructions for Hopper users Major differences between running jobs on Hopper and Edison are: the number of cores per node are different, and the Intel Hyper-threading option is available on Edison. Read More » Overview A brief overview of how to run jobs on Edison. Read More » Interactive Jobs Interactive jobs may be run on Edison by requesting resources from the batch system. "qsub -I -V -q interactive -lmppwidth=[num_cores]" is the basic command to request interactive resources. Read More » Batch Jobs Batch script options. Read More » Example Batch Scripts Sample batch scripts for MPI, OpenMP, hybrid applications and various workflows. Read More » Job Launch Command: aprun Aprun is the job launcher for Cray XC30. There are many options that are
Comparing Computer Run Time of Building Simulation Programs
an approach to comparing computer run time of buildingthe purpose of comparing computer run time. Modelers shouldATIONAL L ABORATORY Comparing Computer Run Time of Building
Hong, Tianzhen
Hydrogen storage is recognized as a key technical hurdle that must be overcome for the realization of hydrogen powered vehicles. Metal hydrides and their doped variants have shown great promise as a storage material and significant advances have been made with this technology. In any practical storage system the rate of H2 uptake will be governed by all processes that affect the rate of mass transport through the bed and into the particles. These coupled processes include heat and mass transfer as well as chemical kinetics and equilibrium. However, with few exceptions, studies of metal hydrides have focused primarily on fundamental properties associated with hydrogen storage capacity and kinetics. A full understanding of the complex interplay of physical processes that occur during the charging and discharging of a practical storage system requires models that integrate the salient phenomena. For example, in the case of sodium alanate, the size of NaAlH4 crystals is on the order of 300nm and the size of polycrystalline particles may be approximately 10 times larger ({approx}3,000nm). For the bed volume to be as small as possible, it is necessary to densely pack the hydride particles. Even so, in packed beds composed of NaAlH{sub 4} particles alone, it has been observed that the void fraction is still approximately 50-60%. Because of the large void fraction and particle to particle thermal contact resistance, the thermal conductivity of the hydride is very low, on the order of 0.2 W/m-{sup o}C, Gross, Majzoub, Thomas and Sandrock [2002]. The chemical reaction for hydrogen loading is exothermic. Based on the data in Gross [2003], on the order of 10{sup 8}J of heat of is released for the uptake of 5 kg of H{sub 2}2 and complete conversion of NaH to NaAlH{sub 4}. Since the hydride reaction transitions from hydrogen loading to discharge at elevated temperatures, it is essential to control the temperature of the bed. However, the low thermal conductivity of the hydride makes it difficult to remove the heat of reaction, especially in the relatively short target refueling times, see Attachment 3. This document describes a detailed numerical model for general metal hydride beds that couples reaction kinetics with heat and mass transfer, for both hydriding and dehydriding of the bed. The detailed model is part of a comprehensive methodology for the design, evaluation and modification of hydrogen storage systems. In Hardy [2007], scoping models for reaction kinetics, bed geometry and heat removal parameters are discussed. The scoping models are used to perform a quick assessment of storage systems and identify those which have the potential to meet DOE performance targets. The operational characteristics of successful candidate systems are then evaluated with the more detailed models discussed in this document. The detailed analysis for hydrogen storage systems is modeled in either 2 or 3-dimensions, via the general purpose finite element solver COMSOL Multiphysics{reg_sign}. The two-dimensional model serves to provide rapid evaluation of bed configurations and physical processes, while the three-dimensional model, which requires a much longer run time, is used to investigate detailed effects that do not readily lend themselves to two-dimensional representations. The model is general and can be adapted to any geometry or storage media. In this document, the model is applied to a modified cylindrical shell and tube geometry with radial fins perpendicular to the axis, see Figures 4.1-1 and 4.1-2. Sodium alanate, NaAlH{sub 4}, is used as the hydrogen storage medium. The model can be run on any DOS, LINUX or Unix based system.
Hardy, B
Modeling of geothermal systems
During the last decade the use of numerical modeling for geothermal resource evaluation has grown significantly, and new modeling approaches have been developed. In this paper we present a summary of the present status in numerical modeling of geothermal systems, emphasizing recent developments. Different modeling approaches are described and their applicability discussed. The various modeling tasks, including natural-state, exploitation, injection, multi-component and subsidence modeling, are illustrated with geothermal field examples. 99 refs., 14 figs.
Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.
Dynamical System Analysis of Cosmologies with Running Cosmological Constant from Quantum Einstein Gravity
We discuss a mechanism that induces a time-dependent vacuum energy on cosmological scales. It is based on the instability induced renormalization triggered by the low energy quantum fluctuations in a Universe with a positive cosmological constant. We employ the dynamical systems approach to study the qualitative behavior of Friedmann-Robertson-Walker cosmologies where the cosmological constant is dynamically evolving according with this nonperturbative scaling at low energies. It will be shown that it is possible to realize a "two regimes" dark energy phases, where an unstable early phase of power-law evolution of the scale factor is followed by an accelerated expansion era at late times.
Bonanno, Alfio
Networking technology adoption : system dynamics modeling of fiber-to-the-home
A system dynamics model is developed and run to study the adoption of fiber-to-the-home as a residential broadband technology. Communities that currently do not have broadband in the United States are modeled. This case ...
Kelic, Andjelka, 1972-
Systems Modeling | ornl.gov
Computational Physics Communication Networks and Technologies Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Systems Modeling SHARE Systems Modeling System modeling is the interdisciplinary study of the use of models to conceptualize and construct systems. A common type of systems modeling is function modeling, with specific techniques such as the functional flow block diagram. These models can be extended using functional decomposition, and can be linked to requirements models for further systems
Modeling the earth system
The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.
Ojima, D. [ed.
Macro-System Model Overview
Such a macro-system model is critical to assessing the transition from the existing energy infrastructure to one including hydrogen. Individual models spanning a wide range of...
Statistical Modeling in Nonlinear Systems
The use of linear statistical methods in building climate prediction models is examined, particularly the use of anomalies. The author�s perspective is that the climate system is a nonlinear interacting system, so the impact of modeling using ...
Edward P. Campbell
Modeling Quantum Information Systems abstract
Paul E. Black and Andrew W. Lane, Modeling Quantum Information Systems, Proc. SPIE, Vol. 5436, Quantum Information ...
System Testing using UML Models
Coverage of system states during system testing is a nontrivial problem. It is because the number of system states is usually very large, and system developers often do not construct system state model. In this paper, we propose a method to design system ...
Monalisa Sarma; Rajib Mall
Modelling and simulation of high capacity waterside container handling systems at deep-sea terminals
Current handling systems at deep-sea container terminals run into their physical limits and new methods of handling containers are needed to deal with the ever-growing container shipping volumes. We present a domain specific simulation model of high ... Keywords: adjustable simulation model, container handling system, container workflow, productivity improvement, quay crane concepts
F. Geldof; B. C. van Haarlem; W. Lock; E. E. Roubtsova
Modeling needs for very large systems.
Most system performance models assume a point measurement for irradiance and that, except for the impact of shading from nearby obstacles, incident irradiance is uniform across the array. Module temperature is also assumed to be uniform across the array. For small arrays and hourly-averaged simulations, this may be a reasonable assumption. Stein is conducting research to characterize variability in large systems and to develop models that can better accommodate large system factors. In large, multi-MW arrays, passing clouds may block sunlight from a portion of the array but never affect another portion. Figure 22 shows that two irradiance measurements at opposite ends of a multi-MW PV plant appear to have similar irradiance (left), but in fact the irradiance is not always the same (right). Module temperature may also vary across the array, with modules on the edges being cooler because they have greater wind exposure. Large arrays will also have long wire runs and will be subject to associated losses. Soiling patterns may also vary, with modules closer to the source of soiling, such as an agricultural field, receiving more dust load. One of the primary concerns associated with this effort is how to work with integrators to gain access to better and more comprehensive data for model development and validation.
Stein, Joshua S.
This paper presents an approach to comparing computer run time of building simulation programs. The computing run time of a simulation program depends on several key factors, including the calculation algorithm and modeling capabilities of the program, the run period, the simulation time step, the complexity of the energy models, the run control settings, and the software and hardware configurations of the computer that is used to make the simulation runs. To demonstrate the approach, simulation runs are performed for several representative DOE-2.1E and EnergyPlus energy models. The computer run time of these energy models are then compared and analyzed.
Hong, Tianzhen; Buhl, Fred; Haves, Philip; Selkowitz, Stephen; Wetter, Michael
The Community Climate System Model
The community Earth System Model (CESM) is a fully coupled, global climate model that provides state-of-the-art computer simulations of the Earth's past, present, and future climate states.
Worley, Patrick H [ORNL
Modifying the MIT Sensorimotor Control Lab model of human balance and gait control for the addition of running
This research continues the work begun by Sungho Jo and Steve G. Massaquoi on modeling human walking and upright balance. The model of human neurological control of balance and gait generation put forward by Jo and Massaquoi ...
Cappo, Ellen (Ellen Angeline)
Macro-System Model (Poster)
Poster presentation on Macro-System Model for the 2005 Hydrogen, Fuel Cells & Infrastructure Technologies Program Annual Review held in Arlington, Virginia on May 23-26, 2005
Ruth, M.
Modeling interval order structures with partially commutative monoids
Interval order structures are useful tools to model abstract concurrent histories, i.e. sets of equivalent system runs, when system runs are modeled with interval orders. The paper shows how interval order structures can be modeled by partially ...
Ryszard Janicki; Xiang Yin; Nadezhda Zubkova
Energy.gov (U.S. Department of Energy (DOE)) Indexed Site
Running Standard Reports Running Standard Reports © 2011 SuccessFactors, Inc. - 1 - SuccessFactors Learning Confidential. All rights reserved. Job Aid: Running Standard Reports Purpose The purpose of this job aid is to guide users through the step-by-step process of running standard reports in SuccessFactors Learning. Task A. Run Standard Report From the Home page, click the Reports easy link. In the Report Name table, locate the report you want to generate. Click the expand icon ( ) to expand the report group. Click the title link. For this example, select the User Curriculum Status Group by Item Details report. Note: Click Help ( ) for additional information on reports. 1 1 2 2 3 3 Run Standard Report 13 Steps Task A SuccessFactors Learning v 6.4 User Job Aid
The New Optimal Model and Realizing of Automatic Rubber Ball Cleaning System for Condenser
An optimal model of rubber ball cleaning system for condenser is proposed in this paper. Based on on-line measurement of fouling resistance, the fouling growth time (set as cleaning time interval in this paper) is fixed and the best running time of rubber ... Keywords: fouling resistance, optimal mode, rubber ball cleaning system for condenser, system realizing
Gong Wang; Yi Xia
Automated compile-time and run-time techniques to increase usable memory in MMU-less embedded systems
Random access memory (RAM) is tightly-constrained in many embedded systems. This is especially true for the least expensive, lowest-power embedded systems, such as sensor network nodes and portable consumer electronics. The most widely-used sensor network ... Keywords: data compression, embedded system, wireless sensor network
Lan S. Bai; Lei Yang; Robert P. Dick
New Method and Reporting of Uncertainty in LBNL National Energy Modeling System Runs
Method Because coal and natural gas prices are endogenouslyto the end-use coal and natural gas price via the epm.fdoubles the natural gas and coal price through an imposed
Gumerman, Etan Z.; LaCommare, Kristina Hamachi; Marnay, Chris
Long-Run Equilibrium Modeling of Alternative Emissions Allowance Allocation Systems in Electric Power Markets
periods: T = 20 periods per year, each Ht = 438 hours in length � Demands: dt(pt) = at ? btpt, with at = 500t and bt = t/2 � Nonpower emission: eNP (pe) = 0 � Generator types: i = 1 (coal steam), 2 (natural gas-fired combined cycle), and 3 (natural gas... -fired combustion turbine) � Minimal generation: CAP1 = 0 MW, CAP2 = 0 MW, and CAP3 = 0 MW � Marginal costs: MC1 = 20 $/MWh, MC2 = 40 $/MWh, and MC3 = 80 $/MWh � Investment costs: F1 = 120, 000 $/MW/yr, F2 = 75, 000 $/MW/yr, and F3 = 50, 000 $/MW/yr � Firms...
Schulkin, Jinye Z; Hobbs, Benjamin F; Pang, Jong-Shi
end-use carbon tax. The natural-gas price ramps up over timeto just impose a high natural gas price scenario, howeverimposing increased natural gas prices in LBNL-NEMS resulted
AEO AL02 Btu CHP DG DOE ECP EERE EIA GPRA GW ITC MBtu MSW Mtand Renewable Energy (EERE) on hundreds of National Energy
doubles the natural gas and coal price through an imposedin the natural gas and coal prices by applying a fuel-reference case by 2020. Coal prices were then increased to
Evaluation of a ZoloBOSS System at E.ON U.S. Cane Run Unit 6
Competitive pressures, existing NOx emission mandates, and the prospect of CO2 regulations have created a need for more advanced control systems that can maintain efficient burner operating settings with low emission profiles on a more routine and even real-time, continuous basis. One innovative approach for flue gas measurement and control is Zolo Technologies' ZoloBOSS combustion monitoring system. In this system, tunable diode lasers are installed in the upper furnace with multi-path monitoring provid...
Tevatron Run II Physics Projections
Run II Physics Projections (Spring 2006) Run II Physics Projections (Spring 2006) Document for the P5 Committee (version 8, September 30, 2005) Electroweak Precision Measurements and Standard Model Higgs Searches W Mass Measurement: 20 - 30 MeV Projections versus Integrated Luminosity (made by CDF): eps, gif, gif (log) Extrapolated from Run Ib measurement Uncertainties assumed to scale with luminosity: Statiscal uncertainties Systematic uncertainties such as Energy and momentum scale, Hadron Recoil against W Uncertainties assumed not to scale with luminosity: W production and decay: PDFs, d(sigma_W)/d(Pt), higher order QCD/QED effects Assumed to be beween 20 MeV (dashed lines) and 30 MeV (solid lines) Top Mass Measurement: ~1.5 GeV Assumptions Channel: only lepton+jets channle considered. Uncertainties that scale with luminosity - 1 / sqrt(lum)
Modelling the carbon system
ABSTRACT. Claims that forest cutting (luring the last few decades has contributed significantly to the buildup in atmospheric CO2 have cast doubt on the validity of models used to estimate CO. uptake by the ocean. In this paper we review the existing models and conclude that the box-diffusion model of Oeschger and his co-workers provides an excellent fit to the average distributions of natural and bomb-produced radiocarbon. We also take the first steps toward a more detailed ocean model which takes into account upwelling in the equatorial zone and deep water formation in the polar zone. The model is calibrated using the distribution of bomb-produced and cosmic ray-produced radiocarbon in the ocean. Preliminary calculations indicate that the fossil fuel CO2 uptake by this model will be greater than that by the box-diffusion model of Oeschger and others (1975) but not great enough to accommodate a significant decline in the mass of the terrestrial biosphere over the past two decades.
Wallace S Broecker; Tsung-hung Peng; Richard Engh
A heterogeneous parallel system running open mpi on a broadband network of embedded set-top devices
We present a heterogeneous parallel computing system that combines a traditional computer cluster with a broadband network of embedded set-top box (STB) devices. As multiple service operators (MSO) manage millions of these devices across wide geographic ... Keywords: distributed embedded systems, mpi, multiple sequence alignment, multiple service operators, set-top box
Richard Neill; Alexander Shabarshin; Luca P. Carloni
Running Interactive Jobs on Carver
Interactive Jobs Interactive Jobs Interactive Jobs Overview There are two types of interactive jobs. The first type runs on a login node. These applications are typically pre- and post-processing jobs, data management programs, or some other type of "tool". Note that it is not possible to run any MPI application on Carver login nodes. The second type of interactive job runs on one or more Carver compute nodes. Because the only way to gain access to the compute nodes is through the batch system, these types of jobs may more accurately be called "interactive batch" jobs. The remainder of this section focuses on these types of jobs. Usage Basic usage: carver% qsub -I The above command creates an interactive shell on a compute node, in the user's home directory. As a batch job, it has default values for batch
Running Jobs Overview for Edison
Overview Overview Overview Overview and Basic Description Jobs on Edison execute on one or more "compute" nodes dedicated to that job. These nodes are distinct from the shared "login" nodes that host interactive sessions and the shared "MOM" nodes that execute commands from a "batch script" that controls how the job runs. Typically, users write the batch script with a text editor and submit it to the system using the "qsub" command. The batch script contains a number of job control directives and also the "aprun" command that actually runs the program in parallel on the compute nodes. It is possible to run small, short parallel jobs interactively as described in the pages in this section. Pages in this section explain the process in more detail.
An exploratory first step in teletraffic data modeling: evaluation of long-run performance of parameter estimators
Examination of the tail behavior of a distribution F that generates teletraffic measurements is an important first step toward building a network model that explains the link between heavy tails and long-range dependence exhibited in such data. ... Keywords: Noah effect, evaluation game, generalized Pareto distribution, packet train, tail estimation
Ping-Hung Hsieh
Power-aware scheduling and dynamic voltage setting for tasks running on a hard real-time system
Abstract- This paper addresses the problem of minimizing energy consumption of a computer system performing periodic hard real-time tasks with precedence constraints. In the proposed approach, dynamic power management and voltage scaling techniques are combined to reduce the energy consumption of the CPU and devices. The optimization problem is first formulated as an integer programming problem. Next, a three-phase solution framework, which integrates power management scheduling and task voltage assignment, is proposed. Experimental results show that the proposed approach outperforms existing methods by an average of 18 % in terms of the system-wide energy savings. I.
Peng Rong
Dynamic modeling of power systems
Morgantown Energy Technology Center`s (METC) Process and Project Engineering (P&PE) personnel continue to refine and modify dynamic modeling or simulations for advanced power systems. P&PE, supported by Gilbert/Commonwealth, Inc. (G/C), has adapted PC/TRAX commercial dynamic software to include equipment found in advanced power systems. PC/TRAX`s software contains the equations that describe the operation of standard power plant equipment such as gas turbines, feedwater pumps, and steam turbines. The METC team has incorporated customized dynamic models using Advanced Continuous Simulation Language (ACSL) code for pressurized circulating fluidized-bed combustors, carbonizers, and other components that are found in Advanced Pressurized Fluidized-Bed Combustion (APFBC) systems. A dynamic model of a commercial-size APFBC power plant was constructed in order to determine representative operating characteristics of the plant and to gain some insight into the best type of control system design. The dynamic model contains both process and control model components. This presentation covers development of a model used to describe the commercial APFBC power plant. Results of exercising the model to simulate plant performance are described and illustrated. Information gained during the APFBC study was applied to a dynamic model of a 1-1/2 generation PFBC system. Some initial results from this study are also presented.
Reed, M.; White, J.
Connectionist Modeling Using Lindenmayer Systems
In this paper the idea of using Lindenmayer systems (L-systems) to create connectionist models is introduced. L-systems with some extensions provide us with a method for creating connectionist models with a close analogy to the growing process of nature. The main advantages to use L-systems in connectionist modeling is its capability for controling growth of connectionist model. Starting from a small initial state, the connectionist model is grown using a simple set of production rules. Learning is part of growth, where it can be implemented as a modification of connection parameter values or as a creation or deletion of connections themselves. The learning is implemented in the same way as growth was using internal production rules. A small scale example to use L-systems for the XOR problem is given. 1 Introduction In connectionist models knowledge is in the connections [20, page 132]. This implies that the connectionist modeling is knowledge representation modeling. In this paper we ...
Jari Vaario; Setsuo OHSUGA; Koichi Hori
Modeling formalisms in Systems Biology
Systems Biology has taken advantage of computational tools and high-throughput experimental data to model several biological processes. These include signaling, gene regulatory, and metabolic networks. However, most of ...
Machado, Daniel
EnergyPlus Run Time Analysis
EnergyPlus is a new generation building performance simulation program offering many new modeling capabilities and more accurate performance calculations integrating building components in sub-hourly time steps. However, EnergyPlus runs much slower than the current generation simulation programs. This has become a major barrier to its widespread adoption by the industry. This paper analyzed EnergyPlus run time from comprehensive perspectives to identify key issues and challenges of speeding up EnergyPlus: studying the historical trends of EnergyPlus run time based on the advancement of computers and code improvements to EnergyPlus, comparing EnergyPlus with DOE-2 to understand and quantify the run time differences, identifying key simulation settings and model features that have significant impacts on run time, and performing code profiling to identify which EnergyPlus subroutines consume the most amount of run time. This paper provides recommendations to improve EnergyPlus run time from the modeler?s perspective and adequate computing platforms. Suggestions of software code and architecture changes to improve EnergyPlus run time based on the code profiling results are also discussed.
Hong, Tianzhen; Buhl, Fred; Haves, Philip
Instructions for Hopper users Major differences between running jobs on Hopper and Edison are: the number of cores per node are different, and the Intel Hyper-threading option...
The fourth version of the Community Climate System Model (CCSM4) was recently completed and released to the climate community. This paper describes developments to all the CCSM components, and documents fully coupled pre-industrial control runs compared to the previous version, CCSM3. Using the standard atmosphere and land resolution of 1{sup o} results in the sea surface temperature biases in the major upwelling regions being comparable to the 1.4{sup o} resolution CCSM3. Two changes to the deep convection scheme in the atmosphere component result in the CCSM4 producing El Nino/Southern Oscillation variability with a much more realistic frequency distribution than the CCSM3, although the amplitude is too large compared to observations. They also improve the representation of the Madden-Julian Oscillation, and the frequency distribution of tropical precipitation. A new overflow parameterization in the ocean component leads to an improved simulation of the deep ocean density structure, especially in the North Atlantic. Changes to the CCSM4 land component lead to a much improved annual cycle of water storage, especially in the tropics. The CCSM4 sea ice component uses much more realistic albedos than the CCSM3, and the Arctic sea ice concentration is improved in the CCSM4. An ensemble of 20th century simulations runs produce an excellent match to the observed September Arctic sea ice extent from 1979 to 2005. The CCSM4 ensemble mean increase in globally-averaged surface temperature between 1850 and 2005 is larger than the observed increase by about 0.4 C. This is consistent with the fact that the CCSM4 does not include a representation of the indirect effects of aerosols, although other factors may come into play. The CCSM4 still has significant biases, such as the mean precipitation distribution in the tropical Pacific Ocean, too much low cloud in the Arctic, and the latitudinal distributions of short-wave and long-wave cloud forcings.
Gent, Peter R.; Danabasoglu, Gokhan; Donner, Leo J.; Holland, Marika M.; Hunke, Elizabeth C.; Jayne, Steve R.; Lawrence, David M.; Neale, Richard; Rasch, Philip J.; Vertenstein, Mariana; Worley, Patrick; Yang, Zong-Liang; Zhang, Minghua
Heat Transport in Groundwater Systems--Finite Element Model
Solar energy is a promising alternate energy source for space heating. A method of economic long term solar energy storage is needed. Researchers have proposed storing solar energy by injecting hot water heated using solar collectors into groundwater aquifers for long term energy storage. Analytical solutions are available that predict water temperatures as hot water is injected into a groundwater aquifer, but little field and laboratory data are available to verify these models. The objectives of this study were to construct a laboratory model to simulate hot water injection into a confined aquifer, to use data from the model to verify analytical solutions modeling this process, and to evaluate the effects of physical properties and design parameters on thermal recovery efficiency. Initial studies of hot water injection into underground reservoirs were done by the petroleum industry while studying secondary and tertiary oil recovery methods. These studies involved small laboratory models. Advances in computer technology made it possible to model these systems numerically. Many assumptions must be made to predict temperature distributions and thermal efficiencies using analytical models which are not required in numerical solutions. To simulate hot water injection into a confined aquifer, a laboratory model (a 1.8288 m deep, 0.2 radian sector tank, that was 7.01 m in the radial direction) was constructed. There were 39 temperature and 15 fluid pressure measuring locations through the model. Water was supplied to the model at a constant temperature and flow rate. The flow layer was composed of a fine grained Texblast blasting sand. Four runs were made. During the initial run, no heat transfer took place and the hydraulic conductivity was measured. Three runs were made where the heat transfer was monitored. Water level data from the heat transfer runs showed that as the temperature of the aquifer increased, the hydraulic conductivity increased. Temperature data indicated that the three radii closest to the well bore reached thermal equilibrium. The equilibrium temperature decreased as radius increased. From Run 1 to Run 2, the equilibrium temperature increased at each radius because a larger flow rate was used. A vertical thermal gradient existed in the flow layer with the less dense warm water floating out over the cooler more dense water initially in the model. During the pumping cycle, the temperatures gradually decreased. The temperature of the water as it was pumped out of the model was measured and the energy recovered was computed using the initial temperature as a reference. Various other temperatures were used as a base reference to calculate recovery efficiency. There were heat losses out the sides of the model. The assumption of angular symmetry made in all analytical solutions was therefore not met. For this reason, the analytical solutions showed adequate, but not great, agreement with the experimental temperature distributions. Using the analytical solutions, the effects of changing system design parameters were evaluated. Increasing thermal conductivity in the flow layer caused the temperature distribution to spread out but had no effect on thermal efficiency. Increasing the thermal conductivity in the confining layers caused the temperature profile to not move as far from the well, and decreased thermal efficiency. Injection rates are only indirectly related to thermal efficiency. The physical parameter having the greatest effect on thermal efficiency was the flow layer thickness. As thickness increased, thermal efficiency increased.
Grubaugh, E. K.; Reddell, D. L.
System Advisor Model | OpenEI
Open Energy Info (EERE)
Up Search Facebook icon Twitter icon System Advisor Model Dataset Summary Description Weather resource data for the United States for use in the System Advisor Model (SAM)....
Run-time optimization of adaptive irregular applications
Compared to traditional compile-time optimization, run-time optimization could o?er signi?cant performance improvements when parallelizing and optimizing adaptive irregular applications, because it performs program analysis and adaptive optimizations during program execution. Run-time techniques can succeed where static techniques fail because they exploit the characteristics of input data, programs' dynamic behaviors, and the underneath execution environment. When optimizing adaptive irregular applications for parallel execution, a common observation is that the effectiveness of the optimizing transformations depends on programs' input data and their dynamic phases. This dissertation presents a set of run-time optimization techniques that match the characteristics of programs' dynamic memory access patterns and the appropriate optimization (parallelization) transformations. First, we present a general adaptive algorithm selection framework to automatically and adaptively select at run-time the best performing, functionally equivalent algorithm for each of its execution instances. The selection process is based on off-line automatically generated prediction models and characteristics (collected and analyzed dynamically) of the algorithm's input data, In this dissertation, we specialize this framework for automatic selection of reduction algorithms. In this research, we have identi?ed a small set of machine independent high-level characterization parameters and then we deployed an off-line, systematic experiment process to generate prediction models. These models, in turn, match the parameters to the best optimization transformations for a given machine. The technique has been evaluated thoroughly in terms of applications, platforms, and programs' dynamic behaviors. Speci?cally, for the reduction algorithm selection, the selected performance is within 2% of optimal performance and on average is 60% better than "Replicated Buffer," the default parallel reduction algorithm speci?ed by OpenMP standard. To reduce the overhead of speculative run-time parallelization, we have developed an adaptive run-time parallelization technique that dynamically chooses effcient shadow structures to record a program's dynamic memory access patterns for parallelization. This technique complements the original speculative run-time parallelization technique, the LRPD test, in parallelizing loops with sparse memory accesses. The techniques presented in this dissertation have been implemented in an optimizing research compiler and can be viewed as effective building blocks for comprehensive run-time optimization systems, e.g., feedback-directed optimization systems and dynamic compilation systems.
Yu, Hao
Overview Overview Overview Overview and Basic Description Jobs on Edison execute on one or more "compute" nodes dedicated to that job. These nodes are distinct from the shared "login" nodes that host interactive sessions and the shared "MOM" nodes that execute commands from a "batch script" that controls how the job runs. Typically, users write the batch script with a text editor and submit it to the system using the "qsub" command. The batch script contains a number of job control directives and also the "aprun" command that actually launches the program on to the compute nodes. It is possible to run small, short parallel jobs interactively as described in the pages in this section. Pages in this section explain the process in more detail.
Compare 100 GeV/n Au Run 2010 with Run 2007
With the very successful commissioning of the vertical stochastic cooling in 100 GeV/n Au Run 2010, the IBS (intra-beam scattering) is no longer the dominant factor in terms of the integrated luminosity. A new luminosity model is needed, where the beam intensity lifetime is more important and the burn-off needs to be accounted for. Toward this goal, a brief review of the Run 2010, compared with Run 2007, is presented.
A standardized approach to PV system performance model validation.
PV performance models are used to predict how much energy a PV system will produce at a given location and subject to prescribed weather conditions. These models are commonly used by project developers to choose between module technologies and array designs (e.g., fixed tilt vs. tracking) for a given site or to choose between different geographic locations, and are used by the financial community to establish project viability. Available models can differ significantly in their underlying mathematical formulations and assumptions and in the options available to the analyst for setting up a simulation. Some models lack complete documentation and transparency, which can result in confusion on how to properly set up, run, and document a simulation. Furthermore, the quality and associated uncertainty of the available data upon which these models rely (e.g., irradiance, module parameters, etc.) is often quite variable and frequently undefined. For these reasons, many project developers and other industry users of these simulation tools have expressed concerns related to the confidence they place in PV performance model results. To address this problem, we propose a standardized method for the validation of PV system-level performance models and a set of guidelines for setting up these models and reporting results. This paper describes the basic elements for a standardized model validation process adapted especially for PV performance models, suggests a framework to implement the process, and presents an example of its application to a number of available PV performance models.
Stein, Joshua S.; Jester, Terry (Hudson Clean Energy Partners); Posbic, Jean (BP Solar); Kimber, Adrianne (First Solar); Cameron, Christopher P.; Bourne, Benjamin (SunPower Corporation)
Integration of Feedstock Assembly System and Cellulosic Ethanol Conversion Models to Analyze Bioenergy System Performance
Research barriers continue to exist in all phases of the emerging cellulosic ethanol biorefining industry. These barriers include the identification and development of a sustainable and abundant biomass feedstock, the assembly of viable assembly systems formatting the feedstock and moving it from the field (e.g., the forest) to the biorefinery, and improving conversion technologies. Each of these phases of cellulosic ethanol production are fundamentally connected, but computational tools used to support and inform analysis within each phase remain largely disparate. This paper discusses the integration of a feedstock assembly system modeling toolkit and an Aspen Plus� conversion process model. Many important biomass feedstock characteristics, such as composition, moisture, particle size and distribution, ash content, etc. are impacted and most effectively managed within the assembly system, but generally come at an economic cost. This integration of the assembly system and the conversion process modeling tools will facilitate a seamless investigation of the assembly system conversion process interface. Through the integrated framework, the user can design the assembly system for a particular biorefinery by specifying location, feedstock, equipment, and unit operation specifications. The assembly system modeling toolkit then provides economic valuation, and detailed biomass feedstock composition and formatting information. This data is seamlessly and dynamically used to run the Aspen Plus� conversion process model. The model can then be used to investigate the design of systems for cellulosic ethanol production from field to final product.
Jared M. Abodeely; Douglas S. McCorkle; Kenneth M. Bryden; David J. Muth; Daniel Wendt; Kevin Kenney
Models for multimegawatt space power systems
This report describes models for multimegawatt, space power systems which Sandia's Advanced Power Systems Division has constructed to help evaluate space power systems for SDI's Space Power Office. Five system models and models for associated components are presented for both open (power system waste products are exhausted into space) and closed (no waste products) systems: open, burst mode, hydrogen cooled nuclear reactor -- turboalternator system; open, hydrogen-oxygen combustion turboalternator system; closed, nuclear reactor powered Brayton cycle system; closed, liquid metal Rankine cycle system; and closed, in-core, reactor therminonic system. The models estimate performance and mass for the components in each of these systems. 17 refs., 8 figs., 15 tabs.
Edenburn, M.W.
NREL: Systems Engineering - Models and Tools
and Tools The NREL Systems Engineering Initiative develops, integrates, and analyzes wind energy system models. NREL has developed an overall integrated system analysis tool...
MM5 Modeling of the Madden�Julian Oscillation in the Indian and West Pacific Oceans: Model Description and Control Run Results
A new methodology to study the Madden�Julian oscillation (MJO) is introduced. While previous MJO studies typically have involved highly simplified mathematical models or general circulation models, this new approach seeks to reproduce the MJO by ...
William I. Gustafson Jr.; Bryan C. Weare
Model Energy Conversion Efficiency of Biological Systems
MML Researchers Model Energy Conversion Efficiency of Biological Systems. Novel, highly efficient energy conversion ...
??Run-of-mine (ROM) coal sampling is one of the most important factors in determining the disposition of ROM coal for an overall emission control strategy. Determination� (more)
Modeling the beam characterization system
The Beam Characterization System (BCS) recently developed for heliostat evaluation at the Central Receiver Test Facility at Sandia Laboratories, measures, digitizes, records, and analyzes a flux-density pattern in a beam of reflected sunlight. Since the BCS collects data with a given set of conditions (geometry, weather, etc.) to determine optical specifications which can predict heliostat behavior under other sets of conditions, it is necessary to use a theoretical model of the system to interpret results. This model serves as an aid to define specifications, analyze measurements, calculate performance, and answer other questions about the heliostat. A statistical method is used to handle stochastic variables such as sun-tracking errors and surface-slope errors. A cone-optics technique is used to incorporate the statistics into a consistent model of the optical behavior of a heliostat. An overview of this model is given. Use of the model is unfolding slope-error distributions and sun-tracking statistics is described for measurements both in and out of the focal plane. The importance of auxiliary input information such as the sunshape (angular distribution of sun rays) to the analysis of BCS measurements is discussed. Finally, the role of the BCS in validating heliostats against acceptance criteria is summarized.
Biggs, F.; Vittitoe, C.N.; King, D.L.
Statistical abstraction and model-checking of large heterogeneous systems
We propose a new simulation-based technique for verifying applications running within a large heterogeneous system. Our technique starts by performing simulations of the system in order to learn the context in which the application is used. Then, it ...
Ananda Basu; Saddek Bensalem; Marius Bozga; Beno�t Caillaud; Beno�t Delahaye; Axel Legay
Running Jobs.ppt
Submitting and Running Jobs on Submitting and Running Jobs on the Cray XT5 Richard Gerber NERSC User Services firstname.lastname@example.com Joint Cray XT5 Workshop UC-Berkeley February 1, 2010 February 1, 2010 Joint Cray XT5 Workshop, UC Berkeley February 1, 2010 Joint Cray XT5 Workshop, UC Berkeley Outline * XT5 Overview * Creating and Submitting a Batch Job * How a Job Is Launched * Monitoring Your Job * Queues and Policies Hopper in blue; Jaguar in Orange; Kraken in Green February 1, 2010 Joint Cray XT5 Workshop, UC Berkeley Cray XT5 Overview Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node Compute Node etc.... No local disk Login Node Login Node Login Node etc.... home Login Node Login Node $SCRATCH[1|2] /tmp/work/$USER /lustre/scratch/$USER
Using a scalable modeling and simulation framework to evaluate the benefits of intelligent transportation systems.
A scalable, distributed modeling and simulation framework has been developed at Argonne National Laboratory to study Intelligent Transportation Systems. The framework can run on a single-processor workstation, or run distributed on a multiprocessor computer or network of workstations. The framework is modular and supports plug-in models, hardware, and live data sources. The initial set of models currently includes road network and traffic flow, probe and smart vehicles, traffic management centers, communications between vehicles and centers, in-vehicle navigation systems, roadway traffic advisories. The modeling and simulation capability has been used to examine proposed ITS concepts. Results are presented from modeling scenarios from the Advanced Driver and Vehicle Advisory Navigation Concept (ADVANCE) experimental program to demonstrate how the framework can be used to evaluate the benefits of ITS and to plan future ITS operational tests and deployment initiatives.
Ewing, T.; Tentner, A.
On linear models for nonlinear systems
Best linear time-invariant (LTI) approximations are analysed for several interesting classes of discrete nonlinear time-invariant systems. These include nonlinear finite impulse response systems and a class of nonsmooth systems called bi-gain systems. ... Keywords: Approximation, Discrete-time systems, Fr�chet derivative, Linear models, Nonlinear systems, System identification, Wiener systems
P. M. M�Kil�; J. R. Partington
Modeling a leadership-scale storage system
Exascale supercomputers will have the potential for billion-way parallelism. While physical implementations of these systems are currently not available, HPC system designers can develop models of exascale systems to evaluate system design points. Modeling ... Keywords: exascale computing, parallel discrete-event simulation, storage system design
Ning Liu; Christopher Carothers; Jason Cope; Philip Carns; Robert Ross; Adam Crume; Carlos Maltzahn
Integration of EBS Models with Generic Disposal System Models | Department
Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and
Running Jobs | Argonne Leadership Computing Facility
Reservations Cobalt Job Control How to Queue a Job Running Jobs FAQs Queuing and Running on BG/Q Systems Data Transfer Debugging & Profiling Performance Tools & APIs Software & Libraries IBM References Intrepid/Challenger/Surveyor Tukey Eureka / Gadzooks Policies Documentation Feedback Please provide feedback to help guide us as we continue to build documentation for our new computing resource. [Feedback Form] Running Jobs Contents Job Submission Submitting a Script Job Sub-block Script Jobs Multiple Consecutive Runs within a Script Job Settings Environment Variables Script Environment Program and Argument Length Limit Job Dependencies Thread Stack Size Verbose Setting for Runjob How do I get each line of the output labeled with the MPI rank that it came from? Mapping of MPI Tasks to Cores
The U.S. Department of Energy�s Fuel Cycle Technologies (FCT) Program is preparing to perform an evaluation of the full range of possible Nuclear Energy Systems (NES) in 2013. These include all practical combinations of fuels and transmuters (reactors and sub-critical systems) in single and multi-tier combinations of burners and breeders with no, partial, and full recycle. As part of this evaluation, Levelized Cost of Electricity at Equilibrium (LCAE) ranges for each representative system will be calculated. To facilitate the cost analyses, the 2009 Advanced Fuel Cycle Cost Basis Report is being amended to provide up-to-date cost data for each step in the fuel cycle, and a new analysis tool, NE-COST, has been developed. This paper explains the innovative �Island� approach used by NE-COST to streamline and simplify the economic analysis effort and provides examples of LCAE costs generated. The Island approach treats each transmuter (or target burner) and the associated fuel cycle facilities as a separate analysis module, allowing reuse of modules that appear frequently in the NES options list. For example, a number of options to be screened will include a once-through uranium oxide (UOX) fueled light water reactor (LWR). The UOX LWR may be standalone, or may be the first stage in a multi-stage system. Using the Island approach, the UOX LWR only needs to be modeled once and the module can then be reused on subsequent fuel cycles. NE-COST models the unit operations and life cycle costs associated with each step of the fuel cycle on each island. This includes three front-end options for supplying feedstock to fuel fabrication (mining/enrichment, reprocessing of used fuel from another island, and/or reprocessing of this island�s used fuel), along with the transmuter and back-end storage/disposal. Results of each island are combined based on the fractional energy generated by each islands in an equilibrium system. The cost analyses use the probability distributions of key parameters and employs Monte Carlo sampling to arrive at an island�s cost probability density function (PDF). When comparing two NES to determine delta cost, strongly correlated parameters can be cancelled out so that only the differences in the systems contribute to the relative cost PDFs. For example, one comparative analysis presented in the paper is a single stage LWR-UOX system versus a two-stage LWR-UOX to LWR-MOX system. In this case, the first stage of both systems is the same (but with different fractional energy generation), while the second stage of the UOX to MOX system uses the same type transmuter but the fuel type and feedstock sources are different. In this case, the cost difference between systems is driven by only the fuel cycle differences of the MOX stage.
Francesco Ganda; Brent Dixon
Regional load-curve models: QUERI's model long-run forecasts and sensitivity analysis. Volume 4. Final report. [Hourly demand in 32 US regions
This report presents detailed forecasts of the hourly demand for electricity in 32 regions of the US through the year 2000. The forecasts are generated by a load curve model estimated by QUERI and described in Volume II of this report. Two primary sets of input assumptions for this model are utilized: one based on DRI's macro, regional and sectoral models is called the Baseline Scenario while the other, which is a projection of historical trends, is the Extrapolation Scenario. Under both assumptions, the growth rates of electricity are forecast to slow from historical levels. Load factors are generally projected to continue to decline; most regions are forecast to remain Summer peaking but this is rather sensitive to the choice of scenario. By considering other scenarios which are small perturbations of the Baseline assumptions, elasticities of average, peak and hourly loads are calculated. Different weather assumptions are also examined for the sensitivity of the load shapes to changes in the weather.
Engle, R.F.; Granger, C.W.J.; Ramanathan, R.
Running Interactive Jobs on Hopper
Interactive Jobs Interactive Jobs Interactive Jobs To run an interactive job on Hopper's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the interactive queue. hopper% qsub -I -V -q interactive -l mppwidth=48 The -I flag specifies an interactive job. The -V flag passes your current environment variable settings to the compute environment. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The number of nodes given to your job (remember, the system allocates nodes, not cores), is the value of mppwidth divided by the umber of cores per node. On Hopper, with 24 cores per node, the number of nodes is mppwidth/24 plus one more if
Running Interactive Jobs on Edison
Interactive Jobs Interactive Jobs Interactive Jobs To run an interactive job on Edison's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the debug queue. edison% qsub -I -V -q debug -l mppwidth=32 The -I flag specifies an interactive job. The -V flag passes your current environment variable settings to the compute environment. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The number of nodes given to your job (remember, the system allocates nodes, not cores), is the value of mppwidth divided by the number of cores per node. On Edison, with 16 cores per node, the number of nodes is mppwidth/16 plus one
Interactive Jobs Interactive Jobs Interactive Jobs To run an interactive job on Edison's compute nodes you must request the number of nodes you want and have the system allocate resources from the pool of free nodes. The following command requests 2 nodes using the debug queue. edison% qsub -I -V -q debug -l mppwidth=48 The -I flag specifies an interactive job. The -V flag passes your current environment variable settings to the compute environment. The -q flag specifies the name of the queue and -l mppwidth determines the number of nodes to allocate for your job, but not as you might expect. The number of nodes given to your job (remember, the system allocates nodes, not cores), is the value of mppwidth divided by the number of cores per node. On Edison, with 24 cores per node, the number of nodes is mppwidth/24 plus one
Ensemble Generation for Models of Multimodal Systems
In this work the performance of ensembles generated by commonly used methods in a nonlinear system with multiple attractors is examined. The model used here is a spectral truncation of a barotropic quasigeostrophic channel model. The system ...
Robert N. Miller; Laura L. Ehret
National Energy Modeling System (NEMS)
DOE Data Explorer (OSTI)
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. through 2030. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). NEMS can be used to analyze the effects of existing and proposed government laws and regulations related to energy production and use; the potential impact of new and advanced energy production, conversion, and consumption technologies; the impact and cost of greenhouse gas control; the impact of increased use of renewable energy sources; and the potential savings from increased efficiency of energy use; and the impact of regulations on the use of alternative or reformulated fuels. NEMS has also been used for a number of special analyses at the request of the Administration, U.S. Congress, other offices of DOE and other government agencies, who specify the scenarios and assumptions for the analysis. Modules allow analyses to be conducted in energy topic areas such as residential demand, industrial demand, electricity market, oil and gas supply, renewable fuels, etc.
Modeling and design of control system for variable speed wind turbine in all operating region
In order to get the maximum power from the wind, the variable-speed wind turbine should run at different speed when wind speed changes. In this paper a control system is introduced to get this purpose base on establishing the three-mass model of the ... Keywords: doubly-fed induction generator (DFIG), feed-forward compensator, loop-shaping, pitch controller, speed controller, three-mass model, wind turbine
Wu Dingguo; Wang Zhixin
Community Climate System Model (CCSM) Experiments and Output Data
The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.
Bounded model checking of infinite state systems
Bounded model checking (BMC) is an attractive alternative to symbolic model checking, since it often allows a more efficient verification. The idea of BMC is to reduce the model checking problem to a satisfiability problem of the underlying base logic, ... Keywords: Bounded model checking, Global model checking, Infinite state systems, Local model checking, Temporal logic hierarchy
Tobias Schuele; Klaus Schneider
Polarization Issues in Run 2008
The RHIC proton beam polarization has a strong dependence on intensity in Run 2008, whereas the dependence is almost absent in Run 2006. Meanwhile, the RHIC beam transverse emittance also has a dependence on intensity in Run 2008, but little in Run 2006. Using the emittance measurement at the AGS IPM and the BtA multiwires, the source of this difference between 2006 and 2008 runs is traced to the Booster. It is found that at least the degree of the vertical scraping in the Booster is different in 2006 and 2008. The effect of this scraping for the RHIC beam emittance and polarization is studied.
Zhang,S.Y.; Ahrens, L.; Huang, H.; Zeno, K.
Integrated Hydrogen Storage System Model
WSRC-TR-2007-00440, REVISION 0 WSRC-TR-2007-00440, REVISION 0 Keywords: Hydrogen Kinetics, Hydrogen Storage Vessel Metal Hydride Retention: Permanent Integrated Hydrogen Storage System Model Bruce J. Hardy November 16, 2007 Washington Savannah River Company Savannah River Site Aiken, SC 29808 Prepared for the U.S. Department of Energy Under Contract Number DEAC09-96-SR18500 DISCLAIMER This report was prepared for the United States Department of Energy under Contract No. DE-AC09-96SR18500 and is an account of work performed under that contract. Neither the United States Department of Energy, nor WSRC, nor any of their employees makes any warranty, expressed or implied, or assumes any legal liability or responsibility for accuracy, completeness, or usefulness, of any information,
Generic CSP Performance Model for NREL's System Advisor Model: Preprint
The suite of concentrating solar power (CSP) modeling tools in NREL's System Advisor Model (SAM) includes technology performance models for parabolic troughs, power towers, and dish-Stirling systems. Each model provides the user with unique capabilities that are catered to typical design considerations seen in each technology. Since the scope of the various models is generally limited to common plant configurations, new CSP technologies, component geometries, and subsystem combinations can be difficult to model directly in the existing SAM technology models. To overcome the limitations imposed by representative CSP technology models, NREL has developed a 'Generic Solar System' (GSS) performance model for use in SAM. This paper discusses the formulation and performance considerations included in this model and verifies the model by comparing its results with more detailed models.
Wagner, M. J.; Zhu, G.
Wheel running from a juvenile age delays onset of specific motor deficits but does not alter protein aggregate density in a mouse model of Huntington's disease
of age (Fig. 2B; wheel running: F [1, 25] = 0.40, P = 0.72; 2-way ANOVA). At 5 months, an effect of the HD BMC Neuroscience 2008, 9:34 http://www.biomedcentral.com/1471-2202/9/34 mutation on performance was observed (Fig. 2B; HD: F[1, 28] = 8.58, P < 0... in activity on the second day of testing (2nd blocks in Fig. 3B) in non-enriched HD mice (F[1,38] = 38.25, P < 0.001; 2-way ANOVA). Thus environmental enrichment and wheel running both rescued the abnor- mal habituation of rearing behavior in HD mice...
van Dellen, Anton; Cordery, Patricia M; Spires, Tara L; Blakemore, Colin; Hannan, Anthony J
Modeling Power Systems as Complex Adaptive Systems
Physical analogs have shown considerable promise for understanding the behavior of complex adaptive systems, including macroeconomics, biological systems, social networks, and electric power markets. Many of today's most challenging technical and policy questions can be reduced to a distributed economic control problem. Indeed, economically based control of large-scale systems is founded on the conjecture that the price-based regulation (e.g., auctions, markets) results in an optimal allocation of resources and emergent optimal system control. This report explores the state-of-the-art physical analogs for understanding the behavior of some econophysical systems and deriving stable and robust control strategies for using them. We review and discuss applications of some analytic methods based on a thermodynamic metaphor, according to which the interplay between system entropy and conservation laws gives rise to intuitive and governing global properties of complex systems that cannot be otherwise understood. We apply these methods to the question of how power markets can be expected to behave under a variety of conditions.
Chassin, David P.; Malard, Joel M.; Posse, Christian; Gangopadhyaya, Asim; Lu, Ning; Katipamula, Srinivas; Mallow, J V.
Comparison of Photovoltaic Models in the System Advisor Model: Preprint
The System Advisor Model (SAM) is free software developed by the National Renewable Energy Laboratory (NREL) for predicting the performance of renewable energy systems and analyzing the financial feasibility of residential, commercial, and utility-scale grid-connected projects. SAM offers several options for predicting the performance of photovoltaic (PV) systems. The model requires that the analyst choose from three PV system models, and depending on that choice, possibly choose from three module and two inverter component models. To obtain meaningful results from SAM, the analyst must be aware of the differences between the model options and their applicability to different modeling scenarios. This paper presents an overview the different PV model options and presents a comparison of results for a 200-kW system using different model options.
Blair, N. J.; Dobos, A. P.; Gilman, P.
System Advisor Model (SAM) | Open Energy Information
System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from System Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot
System Advisor Model (SAM) System Advisor Model (SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1] System Advisor Model [2]
Running Interactive Jobs on Franklin
Interactive Jobs Interactive Jobs Interactive Jobs Serial Code or Commands Franklin is a massively parallel high-performance computing platform and is intended and designed to run large parallel codes. While it is possible to run serial jobs on Franklin, it is discouraged. Any code or command that is not preceeded by the aprun command will execute serially on a service (usually login) node. The login nodes are for executing general UNIX shell commands, building code, and submitting jobs intended to run on the compute nodes. The service nodes are shared by many users, so. please do not run your compute- or memory-intensive jobs on these nodes. NERSC may kill running processes that severely degrade service node performance. If your job will run for more than 5 minutes, or use more than 1 GB of memory it should not
Climate-Weather Modeling Studies Using a Prototype Global Cloud-System
Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model Climate-Weather Modeling Studies Using a Prototype Global Cloud-System Resolving Model PI Name: Venkatramani Balaji PI Email: email@example.com Institution: Geophysical Fluid Dynamics Laboratory Allocation Program: ESP Allocation Hours at ALCF: 150 Million Year: 2010 to 2013 Research Domain: Earth Science We expect our understanding of the role of clouds in climate to undergo a qualitative change as the resolutions of global models begin to encompass clouds. At these resolutions, non-hydrostatic dynamics become significant and deep convective processes are resolved. We are poised at the threshold of being able to run global scale simulations that include direct, non-parameterized, simulations of deep convective clouds. The goal of this
A CAD modeling system for heterogeneous object
A heterogeneous object (HO) modeling system independent of any commercial CAD packages is introduced in this paper. CAD models can be converted into 2D slices with heterogeneous material information for the fabrication of rapid prototyping technique. ... Keywords: CAD system, Heterogeneous object modeling, Volume graphics
Xiaojun Wu; Weijun Liu; Michael Yu Wang
PRELIMINARY Run Shutdown BL Commissioning
PRELIMINARY Run Shutdown BL Commissioning Maintenance AP SPEAR Down Injector Startup University Holidays Spear Down SPEAR Startup MA Sep Oct 2011 2012 MA Mar Apr May Jun Jul...
A Real-Time Eulerian Photochemical Model Forecast System: Overview and Initial Ozone Forecast Performance in the Northeast U.S. Corridor
This article reports on the first implementation of a real-time Eulerian photochemical model forecast system in the United States. The forecast system consists of a tripartite set of one-way coupled models that run routinely on a parallel ...
John N. McHenry; William F. Ryan; Nelson L. Seaman; Carlie J. Coats Jr; Janusz Pudykiewicz; Sarav Arunachalam; Jeffery M. Vukovich
World Energy Projection System Plus Model Documentation: Macroeconomic Model
Reports and Publications (EIA)
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Macroeconomic Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
Brian Murphy
World Energy Projection System Plus Model Documentation: World Electricity Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: Greenhouse Gases Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: Natural Gas Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: Main Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
Information Center
World Energy Projection System Plus Model Documentation: Coal Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: District Heat Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: Commercial Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: Transportation Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
Victoria Zaretskaya
World Energy Projection System Plus Model Documentation: Residential Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
World Energy Projection System Plus Model Documentation: Refinery Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
Adrian Geagla
World Energy Projection System Plus Model Documentation: Industrial Model
This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS+) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.
Peter Gross
U.S. Energy Information Administration (EIA)
DOE/EIA-M059(2012) Part 2. PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . October 2012 . Office of Energy Analysis
A Distributed Snow-Evolution Modeling System (SnowModel)
SnowModel is a spatially distributed snow-evolution modeling system designed for application in landscapes, climates, and conditions where snow occurs. It is an aggregation of four submodels: MicroMet defines meteorological forcing conditions, ...
Glen E. Liston; Kelly Elder
PETROLEUM MARKET MODEL OF THE NATIONAL ENERGY MODELING SYSTEM Part ...
NATIONAL ENERGY MODELING SYSTEM . Part 2 - Appendices B thru J . ... the PMM LP and the re-optimization of the LP matrix are accomplished by executing FORTRAN callable
System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from Solar Advisor Model) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot
Hammerstein Models for Identification of Stochastic Systems
Identification of nonlinear stochastic systems in the class of Hammerstein models is investigated with regard for the nonlinearities of the investigated object. Hammerstein models are constructed with regard for the output noise in the form of a martingale ...
G. R. Bolkvadze
3.System Design Basis 2) MODELING
-0012) Vendor Prints 2) All equipments are modelled using the standard HYSYS unit operation models. 3) Butane BOG compressors with butane storage system is modelled for this report. 4) Modelling have been streams and out streams specifications for the butane storage tanks(T-1/2/3/4) with Butane BOG compressor
Hong, Deog Ki
The Atmospheric Mesoscale Dispersion Modeling System
The mesoscale dispersion modeling system (MDMS) described herein is under development as a simulation tool to investigate atmospheric flow and pollution dispersion over complex terrain for domains up to several hundred kilometers. The system ...
Marek Uliasz
Nuclear Systems Modeling, Simulation & Validation | Nuclear Science...
Research Areas Fuel Cycle Science & Technology Fusion Nuclear Science Isotope Development and Production Nuclear Security Science & Technology Nuclear Systems Modeling, Simulation...
Policies of System Level Pipeline Modeling
Pipelining is a well understood and often used implementation technique for increasing the performance of a hardware system. We develop several SystemC/C++ modeling techniques that allow us to quickly model, simulate, and evaluate pipelines. We employ a small domain specific language (DSL) based on resource usage patterns that automates the drudgery of boilerplate code needed to configure connectivity in simulation models. The DSL is embedded directly in the host modeling language SystemC/C++. Additionally we develop several techniques for parameterizing a pipeline's behavior based on policies of function, communication, and timing (performance modeling).
Harcourt, Ed
Modeling turbo-expander systems
Turbo-expander systems have long been used instead of regulators, but they have recently received attention as a driving medium for power electrical generators. These systems typically replace the regulator valves that reduce the gas pressure in gas ... Keywords: dispersed generation, turbo-expander systems, variable nozzle angle
Mehdi Taleshian Jelodar, Hasan Rastegar, Hossein Askarian Abyaneh
System Advisor Model (SAM) System Advisor Model (SAM) (Redirected from SAM) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: System Advisor Model Agency/Company /Organization: National Renewable Energy Laboratory Sector: Energy Focus Area: Geothermal, Solar, - Concentrating Solar Power, - Solar Hot Water, - Solar PV, Wind Phase: Evaluate Options, Develop Goals, Prepare a Plan Topics: Pathways analysis, Resource assessment Resource Type: Case studies/examples, Dataset, Guide/manual, Training materials, Software/modeling tools, Video User Interface: Desktop Application Website: sam.nrel.gov/ Web Application Link: sam.nrel.gov/ Cost: Free OpenEI Keyword(s): Featured, EERE tool, System Advisor Model, SAM Language: English System Advisor Model Screenshot References: SAM[1]
Hawaii International Conference on Systems Sciences, January 2002, Hawaii. IEEE Growth and Propagation of Disturbances in a Communication Network Model
, distribution systems, and electrical power transmission grids which run near their operational limits, can of the probability distribution function of this data is suggestive of SOC type dynamics. Although sophisticated distribution network models with different levels of complexity are examined and compared to each other
Newman, David
Very Large System Dynamics Models - Lessons Learned
This paper provides lessons learned from developing several large system dynamics (SD) models. System dynamics modeling practice emphasize the need to keep models small so that they are manageable and understandable. This practice is generally reasonable and prudent; however, there are times that large SD models are necessary. This paper outlines two large SD projects that were done at two Department of Energy National Laboratories, the Idaho National Laboratory and Sandia National Laboratories. This paper summarizes the models and then discusses some of the valuable lessons learned during these two modeling efforts.
Jacob J. Jacobson; Leonard Malczynski
Molten Salt Power Tower Cost Model for the System Advisor Model (SAM)
This report describes a component-based cost model developed for molten-salt power tower solar power plants. The cost model was developed by the National Renewable Energy Laboratory (NREL), using data from several prior studies, including a contracted analysis from WorleyParsons Group, which is included herein as an Appendix. The WorleyParsons' analysis also estimated material composition and mass for the plant to facilitate a life cycle analysis of the molten salt power tower technology. Details of the life cycle assessment have been published elsewhere. The cost model provides a reference plant that interfaces with NREL's System Advisor Model or SAM. The reference plant assumes a nominal 100-MWe (net) power tower running with a nitrate salt heat transfer fluid (HTF). Thermal energy storage is provided by direct storage of the HTF in a two-tank system. The design assumes dry-cooling. The model includes a spreadsheet that interfaces with SAM via the Excel Exchange option in SAM. The spreadsheet allows users to estimate the costs of different-size plants and to take into account changes in commodity prices. This report and the accompanying Excel spreadsheet can be downloaded at https://sam.nrel.gov/cost.
Turchi, C. S.; Heath, G. A.
Generic Model Host System Design
There are many simulation codes for accelerator modelling; each one has some strength but not all. A platform which can host multiple modelling tools would be ideal for various purposes. The model platform along with infrastructure support can be used not only for online applications but also for offline purposes. Collaboration is formed for the effort of providing such a platform. In order to achieve such a platform, a set of common physics data structure has to be set. Application Programming Interface (API) for physics applications should also be defined within a model data provider. A preliminary platform design and prototype is discussed.
Chu, Chungming; /SLAC; Wu, Juhao; /SLAC; Qiang, Ji; /LBL, Berkeley; Shen, Guobao; /Brookhaven
B.: System Model-Based Definition of Modeling Language Semantics
Abstract. In this paper, we present an approach to define the semantics for object-oriented modeling languages. One important property of this semantics is to support underspecified and incomplete models. To this end, semantics is given as predicates over elements of the semantic domain. This domain is called the system model which is a general declarative characterization of object systems. The system model is very detailed since it captures various relevant structural, behavioral, and interaction aspects. This allows us to re-use the system model as a domain for various kinds of object-oriented modeling languages. As a major consequence, the integration of language semantics is straight-forward. The whole approach is supported by tools that do not constrain the semantics definition�s expressiveness and flexibility while making it machinecheckable. 1
Hans Gr�nniger; Jan Oliver Ringert; Bernhard Rumpe; Lehrstuhl Informatik (softwaretechnik) Rwth Aachen
System Advisor Model: Flat Plate Photovoltaic Performance Modeling Validation Report
The System Advisor Model (SAM) is a free software tool that performs detailed analysis of both system performance and system financing for a variety of renewable energy technologies. This report provides detailed validation of the SAM flat plate photovoltaic performance model by comparing SAM-modeled PV system generation data to actual measured production data for nine PV systems ranging from 75 kW to greater than 25 MW in size. The results show strong agreement between SAM predictions and field data, with annualized prediction error below 3% for all fixed tilt cases and below 8% for all one axis tracked cases. The analysis concludes that snow cover and system outages are the primary sources of disagreement, and other deviations resulting from seasonal biases in the irradiation models and one axis tracking issues are discussed in detail.
Freeman, J.; Whitmore, J.; Kaffine, L.; Blair, N.; Dobos, A. P.
NREL: System Advisor Model (SAM)
location, installation and operating costs, type of financing, applicable tax credits and incentives, and system specifications. SAM also calculates the value of saved energy from...
Battery Model for Embedded Systems , Gaurav Singhal
Battery Model for Embedded Systems Venkat Rao , Gaurav Singhal , Anshul Kumar , Nicolas Navet.iitd.ernet.in, firstname.lastname@example.com Abstract This paper explores the recovery and rate capacity ef- fect for batteries used in embedded systems. It describes the prominent battery models with their advantages and draw- backs
Navet, Nicolas
Bifurcation Analysis of Various Power System Models
Bifurcation Analysis of Various Power System Models William D. Rosehart Claudio A. Ca This paper presents the bifurcation analysis of a detailed power system model composed of an aggregated induction motor and impedance load supplied by an under-load tap-changer transformer and an equivalent
Cañizares, Claudio A.
NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate...
NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models NOAA Awarded 2.6 Million Processor Hours at NERSC to Run Climate Change Models September 11, 2008...
Oil shale project run summary: small retort run S-14
Retort run S-14 was a combustion run in the small retort conducted on Nov. 15-16, 1977. The charge of Anvil Points shale operated under a 50% steam - 50% air mixture. Results indicate that the broad particle size range in the packed bed increases nonuniformities in gas flow and bed retorting characteristics. Oil yield was 87%, hydrogen production amounted to 0.25 wt % of the raw shale. (DLC)
Ackerman, F.J.; Sandholtz, W.A.; Raley, J.H.; Tripp, L.J.
DECEMBER 2006 LISTON AND ELDER 1259 A Distributed Snow-Evolution Modeling System (SnowModel)
SnowModel is a spatially distributed snow-evolution modeling system designed for application in landscapes, climates, and conditions where snow occurs. It is an aggregation of four submodels: MicroMet defines meteorological forcing conditions, EnBal calculates surface energy exchanges, SnowPack simulates snow depth and water-equivalent evolution, and SnowTran-3D accounts for snow redistribution by wind. Since each of these submodels was originally developed and tested for nonforested conditions, details describing modifications made to the submodels for forested areas are provided. SnowModel was created to run on grid increments of 1 to 200 m and temporal increments of 10 min to 1 day. It can also be applied using much larger grid increments, if the inherent loss in high-resolution (subgrid) information is acceptable. Simulated processes include snow accumulation; blowing-snow redistribution and sublimation; forest canopy interception, unloading, and sublimation; snow-density evolution; and snowpack melt. Conceptually, SnowModel includes the first-order physics required to simulate snow evolution within each of the global snow classes (i.e., ice, tundra, taiga, alpine/mountain, prairie, maritime, and ephemeral). The required model inputs are 1) temporally varying fields of precipitation, wind speed and direction, air temperature, and relative humidity obtained from meteorological stations and/or an atmospheric model located
A model for international border management systems.
To effectively manage the security or control of its borders, a country must understand its border management activities as a system. Using its systems engineering and security foundations as a Department of Energy National Security Laboratory, Sandia National Laboratories has developed such an approach to modeling and analyzing border management systems. This paper describes the basic model and its elements developed under Laboratory Directed Research and Development project 08-684.
Duggan, Ruth Ann
Predicting Baseball Home Run Records Using Exponential Frequency Distributions
A new model, which uses the frequency of individuals' annual home run totals, is employed to predict future home run totals and records in Major League Baseball. Complete home run frequency data from 1903--2005 is analyzed, resulting in annual exponential distributions whose changes can be a used as a measure of progression in the sport and serve as a basis against which record-setting performances can be compared. We show that there is an 80% chance that Barry Bonds' current 73 home run record will be broken in the next 10 years, despite the longevity of previous records held by baseball legends Babe Ruth and Roger Marris.
Kelley, D J; Phillips, J A
Human performance modeling for system of systems analytics.
A Laboratory-Directed Research and Development project was initiated in 2005 to investigate Human Performance Modeling in a System of Systems analytic environment. SAND2006-6569 and SAND2006-7911 document interim results from this effort; this report documents the final results. The problem is difficult because of the number of humans involved in a System of Systems environment and the generally poorly defined nature of the tasks that each human must perform. A two-pronged strategy was followed: one prong was to develop human models using a probability-based method similar to that first developed for relatively well-understood probability based performance modeling; another prong was to investigate more state-of-art human cognition models. The probability-based modeling resulted in a comprehensive addition of human-modeling capability to the existing SoSAT computer program. The cognitive modeling resulted in an increased understanding of what is necessary to incorporate cognition-based models to a System of Systems analytic environment.
Dixon, Kevin R.; Lawton, Craig R.; Basilico, Justin Derrick; Longsine, Dennis E. (INTERA, Inc., Austin, TX); Forsythe, James Chris; Gauthier, John Henry; Le, Hai D.
Running Interactive Jobs on Dirac
requests 8 cores on one node using the interactive queue (and you will run on either Tesla or Fermi nodes): % qsub -I -V -q diracint -l nodes1:ppn8 If you want to request...
Integrating Module of the National Energy Modeling System: Model ...
markets for the midterm period, extending through 2040, and currently being run on Windows-based personal computers and terminal servers.
Bond Graph Modeling Of Variable Structure Systems
The problem of describing variable structure models in a compact, object--oriented fashion is revisited and analyzed from the perspective of bond graph modeling. Traditionally, bond graphs have always been used to describe continuous-- time physical processes with a fixed structure. Yet, this paper shall demonstrate that bond graphs are equally suitable to describe variable structure models as fixed structure models. Moreover, a bond graph description of variable structure models can teach us a lot about the essential properties of variable structure models, properties that are not easily visible when other modeling approaches are taken. The paper discusses issues related to causality reassignment and conditional index changes as a consequence of switching in a physical system. Keywords: Bond graphs, variable structure system, computational causality, conditional index change, switching, object--oriented modeling, Dymola. INTRODUCTION When the causality strokes were added to the forme...
Fran�ois E. Cellier; Martin Otter; Hilding Elmqvist
It is recognized that detailed models of proposed hydrogen storage systems are essential to gain insight into the complex processes occurring during the charging and discharging processes. Such insight is an invaluable asset for both assessing the viability of a particular system and/or for improving its design. The detailed models, however, require time to develop and run. Clearly, it is much more efficient to begin a modeling effort with a good system design and to progress from that point. To facilitate this approach, it is useful to have simplified models that can quickly estimate optimal loading and discharge kinetics, effective hydrogen capacities, system dimensions and heat removal requirements. Parameters obtained from these models can then be input to the detailed models to obtain an accurate assessment of system performance that includes more complete integration of the physical processes. This report describes three scoping models that assess preliminary system design prior to invoking a more detailed finite element analysis. The three models address the kinetics, the scaling and heat removal parameters of the system, respectively. The kinetics model is used to evaluate the effect of temperature and hydrogen pressure on the loading and discharge kinetics. As part of the kinetics calculations, the model also determines the mass of stored hydrogen per mass of hydride (in a particular reference form). As such, the model can determine the optimal loading and discharge rates for a particular hydride and the maximum achievable loading (over an infinite period of time). The kinetics model developed with the Mathcad{reg_sign} solver, runs in a mater of seconds and can quickly be used to identify the optimal temperature and pressure for either the loading or discharge processes. The geometry scoping model is used to calculate the size of the system, the optimal placement of heat transfer elements, and the gravimetric and volumetric capacities for a particular geometric configuration and hydride. This scoping model is developed in Microsoft Excel{reg_sign} and inputs the mass of hydrogen to be stored, mass of stored hydrogen to mass of hydride (from the kinetics model), component densities, etc. The heat removal scoping model is used to calculate coolant flowrates, pressure drops and temperature increases over the length of the cooling channels. The model also calculates the convection heat transfer coefficient required to remove the heat of reaction associated with hydrogen uptake. The heat removal model inputs dimensions and the mass of hydrogen to be stored directly from the geometry scoping model. Additionally, the model inputs the heats of reaction, the thermal properties of the coolant and the time required to charge the bed.
Object-Oriented Modeling Of Hybrid Systems
A new methodology for the object--oriented description of models consisting of a mixture of continuous and discrete components is presented. The object--oriented paradigm enables the user to describe such models in a modular fashion that permits the reuse of these models independently of the environment in which they are to be embedded. The paper explains the basic mechanisms needed for object--oriented modeling of hybrid systems by means of language constructs available in the object--oriented modeling language Dymola. It then addresses more advanced concepts such as variable structure models containing e.g. ideal electrical switches, ideal diodes and dry friction.
Hilding Elmqvist; Francois E. Cellier; Martin Otter
EIA - The National Energy Modeling System: An Overview 2003-Appendix...
Annual Energy Outlook 2012 (EIA)
Appendix: Bibliography The National Energy Modeling System: An Overview 2003 Appendix: Bibliography The National Energy Modeling System is documented in a series of model...
Power-Invariant Magnetic System Modeling
In all energy systems, the parameters necessary to calculate power are the same in functionality: an effort or force needed to create a movement in an object and a flow or rate at which the object moves. Therefore, the power equation can generalized as a function of these two parameters: effort and flow, P = effort * flow. Analyzing various power transfer media this is true for at least three regimes: electrical, mechanical and hydraulic but not for magnetic. This implies that the conventional magnetic system model (the reluctance model) requires modifications in order to be consistent with other energy system models. Even further, performing a comprehensive comparison among the systems, each system's model includes an effort quantity, a flow quantity and three passive elements used to establish the amount of energy that is stored or dissipated as heat. After evaluating each one of them, it was clear that the conventional magnetic model did not follow the same pattern: the reluctance, as analogous to the electric resistance, should be a dissipative element instead it is an energy storage element. Furthermore, the two other elements are not defined. This difference has initiated a reevaluation of the conventional magnetic model. In this dissertation the fundamentals on electromagnetism and magnetic materials that supports the modifications proposed to the magnetic model are presented. Conceptual tests to a case study system were performed in order to figure out the network configuration that better represents its real behavior. Furthermore, analytical and numerical techniques were developed in MATLAB and Simulink in order to validate our model. Finally, the feasibility of a novel concept denominated magnetic transmission line was developed. This concept was introduced as an alternative to transmit power. In this case, the media of transport was a magnetic material. The richness of the power-invariant magnetic model and its similarities with the electric model enlighten us to apply concepts and calculation techniques new to the magnetic regime but common to the electric one, such as, net power, power factor, and efficiency, in order to evaluate the power transmission capabilities of a magnetic system. The fundamental contribution of this research is that it presents an alternative to model magnetic systems using a simpler, more physical approach. As the model is standard to other systems' models it allows the engineer or researcher to perform analogies among systems in order to gather insights and a clearer understanding of magnetic systems which up to now has been very complex and theoretical.
Gonzalez Dominguez, Guadalupe Giselle
On Modelling Train Traffic in a Model Train System
The paper describes the design of a coloured Petri net model for a rather complex model train system. The purpose of this system is to teach graduate CS students net modelling and analysis techniques, and the systematic concersion of non--trivial net models into fully operational real systems. The track layout of this system currently includes three main cyclic tracks, each subdivided into several sections, three switchyards of several sidings, and also interconnecting tracks via which trains may change main tracks and directions. The idea is to equip each of several trains - currently up to ten - with its own travel plan. It specifies a sequence of tracks through which the train must be routed in the given order. Execution of these plans must be dynamically coordinated based on locally made decisions about the allocation of track sections to requesting trains so that essential safety and liveness properties are met. The paper first introduces the basic net components necessary to mod...
Wolfgang Hielscher; Lars Urbszat; Claus Reinke; Werner Kluge
A scalable methodology for modeling cities as systems of systems
As cities evolve in size and complexity, their component systems become more interconnected. Comprehensive modeling and simulation is needed to capture interactions and correctly assess the impact of changes. This thesis ...
Wachtel, Amanda M. (Amanda Marie)
Bond graph modeling of centrifugal compressor system
system, active surge control. A novel method of modeling centrifugal compression systems for surge control purposes by using bond graphs is presented. By using the bond graph method, we get a simple description of compression systems based on physical phenomena and it is straight forward to get the dynamic equations. It is demonstrated that several active surge control methods can be represented by the same bond graph. It is also shown how methods for active surge control can be classified using energy flow in terms of upstream energy injection or downstream energy dissipation. A model of a compression system with recycle flow is derived in this work. 1.
Nur Uddin; Jan Tommy Gravdahl
Instrument Front-Ends at Fermilab During Run II
The optimization of an accelerator relies on the ability to monitor the behavior of the beam in an intelligent and timely fashion. The use of processor-driven front-ends allowed for the deployment of smart systems in the field for improved data collection and analysis during Run II. This paper describes the implementation of the two main systems used: National Instruments LabVIEW running on PCs, and WindRiver's VxWorks real-time operating system running in a VME crate processor.
Meyer, Thomas; Slimmer, David; Voy, Duane; /Fermilab
Maui Electrical System Model Development
.2.3.2 Load Profile 9 18.104.22.168 Wind Profile 9 18.104.22.168 Initial Commitment and Dispatch 10 220.127.116.11 Generic Energy.1.2 Independent Power Producers 2 2.1.3 Load Demand 2 2.2 Dynamics 4 2.2.1 Load Flow 4 18.104.22.168 Database Conversion 5 184.108.40.206 Governor/Turbine Models 5 126.96.36.199 Wind Farms 7 22.214.171.124 Dynamic Load Characteristic 7 2
A Dynamical Systems Model for Language Change
Formalizing linguists' intuitions of language change as a dynamical system, we quantify the time course of language change including sudden vs. gradual changes in languages. We apply the computer model to the historical ...
Niyogi, Partha
The Community Climate System Model, Version 2
The Community Climate System Model, version 2 (CCSM2) is briefly described. A 1000-yr control simulation of the present day climate has been completed without flux adjustments. Minor modifications were made at year 350, which included all five ...
Jeffrey T. Kiehl; Peter R. Gent
The National Energy Modeling System: An overview
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period of 1990 to 2010. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system. The second chapter describes the modeling structure. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. Additional background on the development of the system is provided in Appendix A of this report, which describes the EIA modeling systems that preceded NEMS. More detailed model documentation reports for all the NEMS modules are also available from EIA.
Not Available
Climate system modeling on massively parallel systems: LDRD Project 95-ERP-47 final report
Global warming, acid rain, ozone depletion, and biodiversity loss are some of the major climate-related issues presently being addressed by climate and environmental scientists. Because unexpected changes in the climate could have significant effect on our economy, it is vitally important to improve the scientific basis for understanding and predicting the earth`s climate. The impracticality of modeling the earth experimentally in the laboratory together with the fact that the model equations are highly nonlinear has created a unique and vital role for computer-based climate experiments. However, today`s computer models, when run at desired spatial and temporal resolution and physical complexity, severely overtax the capabilities of our most powerful computers. Parallel processing offers significant potential for attaining increased performance and making tractable simulations that cannot be performed today. The principal goals of this project have been to develop and demonstrate the capability to perform large-scale climate simulations on high-performance computing systems (using methodology that scales to the systems of tomorrow), and to carry out leading-edge scientific calculations using parallelized models. The demonstration platform for these studies has been the 256-processor Cray-T3D located at Lawrence Livermore National Laboratory. Our plan was to undertake an ambitious program in optimization, proof-of-principle and scientific study. These goals have been met. We are now regularly using massively parallel processors for scientific study of the ocean and atmosphere, and preliminary parallel coupled ocean/atmosphere calculations are being carried out as well. Furthermore, our work suggests that it should be possible to develop an advanced comprehensive climate system model with performance scalable to the teraflops range. 9 refs., 3 figs.
Mirin, A.A.; Dannevik, W.P.; Chan, B.; Duffy, P.B.; Eltgroth, P.G.; Wehner, M.F.
network at the Davis-Besse nuclear power plant in Oak Harbor, Ohio, was infected [39]. There have been-physical systems, threat models, protocols for treaty verification. 1. Introduction The rapid growth of information) sys- tems that monitor power, gas/oil transportation, water and waste-water distribution. Such systems
Burmester, Mike
Randomized Model Predictive Control for HVAC Systems
Heating, Ventilation and Air Conditioning (HVAC) systems play a fundamental role in maintaining acceptable thermal comfort and Indoor Air Quality (IAQ) levels, essentials for occupants well-being. Since performing this task implies high energy requirements, ... Keywords: Copulas, Learning, Randomized Model Predictive Control, Smart Buildings, Sustainable Control Systems
Alessandra Parisio, Damiano Varagnolo, Daniel Risberg, Giorgio Pattarello, Marco Molinari, Karl H. Johansson
Power electronics system modeling and simulation
This paper introduces control system design based softwares, SIMNON and MATLAB/SIMULINK, for power electronics system simulation. A complete power electronics system typically consists of a rectifier bridge along with its smoothing capacitor, an inverter, and a motor. The system components, featuring discrete or continuous, linear or nonlinear, are modeled in mathematical equations. Inverter control methods,such as pulse-width-modulation and hysteresis current control, are expressed in either computer algorithms or digital circuits. After describing component models and control methods, computer programs are then developed for complete systems simulation. Simulation results are mainly used for studying system performances, such as input and output current harmonics, torque ripples, and speed responses. Key computer programs and simulation results are demonstrated for educational purposes.
Lai, Jih-Sheng
2.1E Sample Run Book
HEAT 1993EDL RUN 2 UTILITY-RATEs GAS-RATE RESOURCE, NATURAL-ES-E SUMMARY OF UTILITY-RATE: ELI_CTRGCHRONIC GLAZING ININP RUN 3 1993EDL RUN UTILITY-RATE: ELk'C-COST RESOURCE:
Winkelmann, F.C.
The Physics Case for Extended Tevatron Running
Run II of the Tevatron collider at Fermilab is currently scheduled to end late in 2011. Given the current performance of the collider and of the CDF and D0 detectors, it is estimated that the current data set could be approximately doubled with a run extended into 2014. A few examples are presented of the physics potential of these additional statistics. These are discussed in the context of the expected reach of the LHC 7 TeV data and the existing Tevatron data. In particular, an extraordinary opportunity is described which could probe the existence of a standard model Higgs boson with mass in the currently preferred region between 115 GeV and 150 GeV.
Wood, Darien R.
Green Flash Project Runs First Prototype Successfully
Facebook Find us "in the news" Home News & Publications News Center News Green Flash Project Runs First Prototype Successfully Green Flash Project Runs First...
Summary of photovoltaic system performance models
The purpose of this study is to provide a detailed overview of photovoltaics (PV) performance modeling capabilities that have been developed during recent years for analyzing PV system and component design and policy issues. A set of 10 performance models have been selected which span a representative range of capabilities from generalized first-order calculations to highly specialized electrical network simulations. A set of performance modeling topics and characteristics is defined and used to examine some of the major issues associated with photovoltaic performance modeling. Next, each of the models is described in the context of these topics and characteristics to assess its purpose, approach, and level of detail. Then each of the issues is discussed in terms of the range of model capabilities available and summarized in tabular form for quick reference. Finally, the models are grouped into categories to illustrate their purposes and perspectives.
Smith, J. H.; Reiter, L. J.
Using Dynamic Tracing Sampling to Measure Long Running Programs
Detailed cache simulation can be useful to both system developers and application writers to understand an application's performance. However, measuring long running programs can be extremely slow. In this paper we present a technique to use dynamic ...
Jeffrey Odom; Jeffrey K. Hollingsworth; Luiz DeRose; Kattamuri Ekanadham; Simone Sbaraglia
Hot Water Distribution System Model Enhancements
This project involves enhancement of the HWSIM distribution system model to more accurately model pipe heat transfer. Recent laboratory testing efforts have indicated that the modeling of radiant heat transfer effects is needed to accurately characterize piping heat loss. An analytical methodology for integrating radiant heat transfer was implemented with HWSIM. Laboratory test data collected in another project was then used to validate the model for a variety of uninsulated and insulated pipe cases (copper, PEX, and CPVC). Results appear favorable, with typical deviations from lab results less than 8%.
Hoeschele, M.; Weitzel, E.
The National Energy Modeling System: An Overview 2000 - Residential Demand
Gasoline and Diesel Fuel Update (EIA)
residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. residential demand module (RDM) forecasts energy consumption by Census division for seven marketed energy sources plus solar and geothermal energy. RDM is a structural model and its forecasts are built up from projections of the residential housing stock and of the energy-consuming equipment contained therein. The components of RDM and its interactions with the NEMS system are shown in Figure 5. NEMS provides forecasts of residential energy prices, population, and housing starts, which are used by RDM to develop forecasts of energy consumption by fuel and Census division. Figure 5. Residential Demand Module Structure RDM incorporates the effects of four broadly-defined determinants of energy consumption: economic and demographic effects, structural effects, technology turnover and advancement effects, and energy market effects. Economic and demographic effects include the number, dwelling type (single-family, multi-family or mobile homes), occupants per household, and location of housing units. Structural effects include increasing average dwelling size and changes in the mix of desired end-use services provided by energy (new end uses and/or increasing penetration of current end uses, such as the increasing popularity of electronic equipment and computers). Technology effects include changes in the stock of installed equipment caused by normal turnover of old, worn out equipment with newer versions which tend to be more energy efficient, the integrated effects of equipment and building shell (insulation level) in new construction, and in the projected availability of even more energy-efficient equipment in the future. Energy market effects include the short-run effects of energy prices on energy demands, the longer-run effects of energy prices on the efficiency of purchased equipment and the efficiency of building shells, and limitations on minimum levels of efficiency imposed by legislated efficiency standards.
Distributed generation capabilities of the national energy modeling system
This report describes Berkeley Lab's exploration of how the National Energy Modeling System (NEMS) models distributed generation (DG) and presents possible approaches for improving how DG is modeled. The on-site electric generation capability has been available since the AEO2000 version of NEMS. Berkeley Lab has previously completed research on distributed energy resources (DER) adoption at individual sites and has developed a DER Customer Adoption Model called DER-CAM. Given interest in this area, Berkeley Lab set out to understand how NEMS models small-scale on-site generation to assess how adequately DG is treated in NEMS, and to propose improvements or alternatives. The goal is to determine how well NEMS models the factors influencing DG adoption and to consider alternatives to the current approach. Most small-scale DG adoption takes place in the residential and commercial modules of NEMS. Investment in DG ultimately offsets purchases of electricity, which also eliminates the losses associated with transmission and distribution (T&D). If the DG technology that is chosen is photovoltaics (PV), NEMS assumes renewable energy consumption replaces the energy input to electric generators. If the DG technology is fuel consuming, consumption of fuel in the electric utility sector is replaced by residential or commercial fuel consumption. The waste heat generated from thermal technologies can be used to offset the water heating and space heating energy uses, but there is no thermally activated cooling capability. This study consists of a review of model documentation and a paper by EIA staff, a series of sensitivity runs performed by Berkeley Lab that exercise selected DG parameters in the AEO2002 version of NEMS, and a scoping effort of possible enhancements and alternatives to NEMS current DG capabilities. In general, the treatment of DG in NEMS is rudimentary. The penetration of DG is determined by an economic cash-flow analysis that determines adoption based on the n umber of years to a positive cash flow. Some important technologies, e.g. thermally activated cooling, are absent, and ceilings on DG adoption are determined by some what arbitrary caps on the number of buildings that can adopt DG. These caps are particularly severe for existing buildings, where the maximum penetration for any one technology is 0.25 percent. On the other hand, competition among technologies is not fully considered, and this may result in double-counting for certain applications. A series of sensitivity runs show greater penetration with net metering enhancements and aggressive tax credits and a more limited response to lowered DG technology costs. Discussion of alternatives to the current code is presented in Section 4. Alternatives or improvements to how DG is modeled in NEMS cover three basic areas: expanding on the existing total market for DG both by changing existing parameters in NEMS and by adding new capabilities, such as for missing technologies; enhancing the cash flow analysis but incorporating aspects of DG economics that are not currently represented, e.g. complex tariffs; and using an external geographic information system (GIS) driven analysis that can better and more intuitively identify niche markets.
LaCommare, Kristina Hamachi; Edwards, Jennifer L.; Marnay, Chris
National Energy Modeling System: An Overview
6) 6) Distribution Category UC-950 The National Energy Modeling System: An Overview March 1996 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the Department of Energy. The information contained herein should not be construed as advocating or reflecting any policy position of the Department of Energy or of any other organization. PREFACE The National Energy Modeling System: An Overview (Overview) provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2015 for the Annual Energy Outlook 1996 (AEO96), (DOE/EIA- 0383(96)), released in January
Recent Improvements to an Advanced Atmospheric Transport Modeling System
The Atmospheric Technologies Group (ATG) has developed an advanced atmospheric modeling capability using the Regional Atmospheric Modeling System (RAMS) and a stochastic Lagrangian particle dispersion model (LPDM) for operational use at the Savannah River Site (SRS). For local simulations concerning releases from the Central Savannah River Area (CSRA), RAMS is run in a nested grid configuration with horizontal grid spacing of 8 and 2 km for each grid, with 6-hr forecasts updated every 3 hours. An interface to allow for easy user access to LPDM had been generated, complete with post-processing results depicting surface concentration, deposition, and a variety of dose quantities. A prior weakness in this approach was that observations from the SRS tower network were only incorporated into the three-dimensional modeling effort during the initialization process. Thus, if the forecasted wind fields were in error, the resulting plume predictions would also be erroneous. To overcome this shortcoming, the procedure for generating RAMS wind fields and reading them into LPDM has been modified such that SRS wind measurements are blended with the predicted three-dimensional wind fields from RAMS using the Barnes technique. In particular, the horizontal components in RAMS are replaced with the observed values at a series of 8 towers that exist within the SRS boundary (covering {approx}300 km{sup 2}). Even though LPDM is currently configured to account only for radioactive releases, it was used in a recent chlorine gas release to generate plume concentrations based on unit releases from the site of a train accident in Graniteville, South Carolina. This information was useful to local responders as an indication of potential protective actions downwind of the release.
Buckley, R. L.; Hunter, C. H.
Developing an Integrated Model Framework for the Assessment of Sustainable Agricultural Residue Removal Limits for Bioenergy Systems
Agricultural residues have significant potential as a feedstock for bioenergy production, but removing these residues can have negative impacts on soil health. Models and datasets that can support decisions about sustainable agricultural residue removal are available; however, no tools currently exist capable of simultaneously addressing all environmental factors that can limit availability of residue. The VE-Suite model integration framework has been used to couple a set of environmental process models to support agricultural residue removal decisions. The RUSLE2, WEPS, and Soil Conditioning Index models have been integrated. A disparate set of databases providing the soils, climate, and management practice data required to run these models have also been integrated. The integrated system has been demonstrated for two example cases. First, an assessment using high spatial fidelity crop yield data has been run for a single farm. This analysis shows the significant variance in sustainably accessible residue across a single farm and crop year. A second example is an aggregate assessment of agricultural residues available in the state of Iowa. This implementation of the integrated systems model demonstrates the capability to run a vast range of scenarios required to represent a large geographic region.
David Muth, Jr.; Jared Abodeely; Richard Nelson; Douglas McCorkle; Joshua Koch; Kenneth Bryden
DOE Hydrogen Analysis Repository: Automotive System Cost Model...
Automotive System Cost Model (ASCM) Project Summary Full Title: Automotive System Cost Model (ASCM) Project ID: 118 Principal Investigator: Sujit Das Purpose Estimate current and...
Comparison of Building Energy Modeling Programs: HVAC Systems
Modeling Programs: HVAC Systems Title Comparison of Building Energy Modeling Programs: HVAC Systems Publication Type Report LBNL Report Number LBNL-6432E Year of Publication 2013...
Thermodynamic Modeling of a Membrane Dehumidification System
In warm and humid climates, a primary source of building energy consumption is dehumidification of conditioned air supplied to the building spaces. The proposed system utilizes a selective membrane to remove water vapor from ambient air as opposed to a vapor compression cycle or a desiccant. This work provides an analysis of the membrane dehumidification system with a focus on the energy performance of the system. A system performance goal was set at the beginning for a given inlet and outlet ambient air condition and a total cooling load of one ton. The target COP of the combined sensible and latent cooling is 3.58 with a target value for only the latent system of 3.34. Two different simulations were developed including an initial simulation which uses a basic mass transfer model and a simpler condenser model. The initial model was used to develop the system, analyze operating parameters and provide initial performance results. The initial simulations indicate that the system requires two optimizations to meet the target performance: condenser pressure optimization and the use of multiple membrane segments operating at different pressures. The latent only COP including the optimizations was a maximum of 4.23. A second model was then developed which uses a more detailed mass transfer model and a more detailed condenser model based on the operating conditions. This simulation yielded a maximum latent only COP of 4.37 including the optimizations. The work also analyzes two different combined systems capable of providing both sensible and latent cooling. The first utilizes a conventional vapor compression cycle for sensible cooling and has a maximum COP of 3.93. The second uses multiple evaporative coolers in between multiple membrane dehumidification steps and was found to have a maximum COP of 3.73. Second law analysis of the systems was also conducted and found that the greatest reduction in latent system exergy loss can be obtained by improving the selectivity of the membrane. Apart from improving the membrane selectivity, the results show the greatest improvement can be found in improving the operation of the gas compression devices.
Bynum, John 1983-
Modeling leaks from liquid hydrogen storage systems.
This report documents a series of models for describing intended and unintended discharges from liquid hydrogen storage systems. Typically these systems store hydrogen in the saturated state at approximately five to ten atmospheres. Some of models discussed here are equilibrium-based models that make use of the NIST thermodynamic models to specify the states of multiphase hydrogen and air-hydrogen mixtures. Two types of discharges are considered: slow leaks where hydrogen enters the ambient at atmospheric pressure and fast leaks where the hydrogen flow is usually choked and expands into the ambient through an underexpanded jet. In order to avoid the complexities of supersonic flow, a single Mach disk model is proposed for fast leaks that are choked. The velocity and state of hydrogen downstream of the Mach disk leads to a more tractable subsonic boundary condition. However, the hydrogen temperature exiting all leaks (fast or slow, from saturated liquid or saturated vapor) is approximately 20.4 K. At these temperatures, any entrained air would likely condense or even freeze leading to an air-hydrogen mixture that cannot be characterized by the REFPROP subroutines. For this reason a plug flow entrainment model is proposed to treat a short zone of initial entrainment and heating. The model predicts the quantity of entrained air required to bring the air-hydrogen mixture to a temperature of approximately 65 K at one atmosphere. At this temperature the mixture can be treated as a mixture of ideal gases and is much more amenable to modeling with Gaussian entrainment models and CFD codes. A Gaussian entrainment model is formulated to predict the trajectory and properties of a cold hydrogen jet leaking into ambient air. The model shows that similarity between two jets depends on the densimetric Froude number, density ratio and initial hydrogen concentration.
Winters, William Stanley, Jr.
Event Model Interfaces for Heterogeneous System Analysis
Complex embedded systems consist of hardware and software components from different domains, such as control and signal processing, many of them supplied by different IP vendors. The embedded system designer faces the challenge to integrate, optimize and verify the resulting heterogeneous systems. While formal verification is available for some subproblems, the analysis of the whole system is currently limited to simulation or emulation. In this paper, we tackle the analysis of global resource sharing, scheduling, and buffer sizing in heterogeneous embedded systems. For many practically used preemptive and non-preemptive hardware and software scheduling algorithms of processors and busses, semi-formal analysis techniques are known. However, they cannot be used in system level analysis due to incompatibilities of their underlying event models. This paper presents a technique to couple the analysis of local scheduling strategies via an event interface model. We derive transformation rules between the most important event models and provide proofs where necessary. We use expressive examples to illustrate their application.
Kai Richter; Rolf Ernst
Long-run Implications of a Forest-based Carbon Sequestration Policy on the United States Economy: A Computable General Equilibrium (CGE) Modeling Approach
The economic impacts of a government-funded, forest-based sequestration program were analyzed under two different payment schemes. The impacts were obtained by developing a regional, static CGE model built to accommodate a modified IMPLAN SAM for a determined region in the United States for 2008. The IMPLAN SAM was modified to accommodate the more conventional factors of production (labor, capital and land) and to account for land heterogeneity using the Major Land Resource Areas (MLRA). The regional aggregation considered included the Southern, Northeastern, Southwestern and Midwestern regions. The two policy scenarios considered consisted of two CO2-offset payment schemes: 1) the government compensates the generation of CO2-offsets only by the land converted to a carbon graveyard and 2) the government additionally compensates the CO2 offsets generated as a by-product by the existing commercial logging activity. By doing an analysis of the model with different budget magnitudes under the two scenarios, two different CO2-offset supply schedules were obtained with their respective CO2-offset price and quantity sets. For a budget allocation of $6.9 billion, approximately 1 billion metric tons of CO2 offsets (15% of U.S. 2008 total GHG emissions) were produced in the first scenario versus 0.8 billion metric tons (11% of U.S. 2008 GHG net emissions) in the second one. Fifty million acres were diverted out of agriculture and commercial forestry land to the carbon graveyard mainly in the Northern, Western and Central Great Plains in the first scenario. Twenty two million acres were diverted out of agricultural land to the carbon graveyard and commercial logging mainly in the Northern and Western Great Plains; and the Eastern and Western boundaries of the Appalachian Mountains in the second scenario. Both scenarios resulted in higher land and agricultural commodity prices, lower consumption of agricultural commodities by households, lower agricultural exports and higher imports. The payment structure of the second scenario benefited the commercial logging industry, increasing its production and exports, and decreasing its imports. The non-agricultural sectors mostly impacted by the two policy scenarios were the manufacturing, construction and government employment sectors.
Monge, Juan
Numerical modeling of liquid geothermal systems
A mathematical model describing the physical behavior of hot-water geothermal systems is presented. The model consists of a set of coupled partial differential equations for heat and mass transfer in porous media and an equation of state relating fluid density to temperature and pressure. The equations are solved numerically using an integrated finite difference method which can treat arbitrary nodal configurations in one, two, or three dimensions. The model is used to analyze cellular convection in permeable rock layers heated from below. Results for cases with constant fluid and rock properties are in good agreement with numerical and experimental results from other authors.
Sorey, M.L.
Better Buildings Neighborhood Program: Run a Program
Run a Program Run a Program Printable Version Share this resource Send a link to Better Buildings Neighborhood Program: Run a Program to someone by E-mail Share Better Buildings Neighborhood Program: Run a Program on Facebook Tweet about Better Buildings Neighborhood Program: Run a Program on Twitter Bookmark Better Buildings Neighborhood Program: Run a Program on Google Bookmark Better Buildings Neighborhood Program: Run a Program on Delicious Rank Better Buildings Neighborhood Program: Run a Program on Digg Find More places to share Better Buildings Neighborhood Program: Run a Program on AddThis.com... Getting Started Driving Demand Financing Workforce Development Run a Program Energy efficiency upgrade programs provide communities with many benefits. In addition to helping homeowners, businesses, and institutions save money
Combustion modeling in advanced gas turbine systems
Goal of DOE`s Advanced Turbine Systems program is to develop and commercialize ultra-high efficiency, environmentally superior, cost competitive gas turbine systems for base-load applications in utility, independent power producer, and industrial markets. Primary objective of the program here is to develop a comprehensive combustion model for advanced gas turbine combustion systems using natural gas (coal gasification or biomass fuels). The efforts included code evaluation (PCGC-3), coherent anti-Stokes Raman spectroscopy, laser Doppler anemometry, and laser-induced fluorescence.
Smoot, L.D.; Hedman, P.O.; Fletcher, T.H.; Brewster, B.S.; Kramer, S.K. [Brigham Young Univ., Provo, UT (United States). Advanced Combustion Engineering Research Center
A Study of The Standard Model Higgs, WW and ZZ Production in Dilepton Plus Missing Transverse Energy Final State at CDF Run II
We report on a search for Standard Model (SM) production of Higgs to WW* in the two charged lepton (e, {mu}) and two neutrino final state in p{bar p} collisions at a center of mass energy {radical}s = 1.96 TeV. The data were collected with the CDF II detector at the Fermilab Tevatron and correspond to an integrated luminosity of 1.9fb{sup -1}. The Matrix Element method is developed to calculate the event probability and to construct a likelihood ratio discriminator. There are 522 candidates observed with an expectation of 513 {+-} 41 background events and 7.8 {+-} 0.6 signal events for Higgs mass 160GeV/c{sup 2} at next-to-next-to-leading logarithmic level calculation. The observed 95% C.L. upper limit is 0.8 pb which is 2.0 times the SM prediction while the median expected limit is 3.1{sub -0.9}{sup +1.3} with systematics included. Results for 9 other Higgs mass hypotheses ranging from 110GeV/c{sup 2} to 200GeV/c{sup 2} are also presented. The same dilepton plus large transverse energy imbalance (E{sub T}) final state is used in the SM ZZ production search and the WW production study. The observed significance of ZZ {yields} ll{nu}{nu} channel is 1.2{sigma}. It adds extra significance to the ZZ {yields} 4l channel and leads to a strong evidence of ZZ production with 4.4 {sigma} significance. The potential improvement of the anomalous triple gauge coupling measurement by using the Matrix Element method in WW production is also studied.
Hsu, Shih-Chieh; /UC, San Diego
Gas Centrifuge Enrichment Plant Safeguards System Modeling
The U.S. Department of Energy (DOE) is interested in developing tools and methods for potential U.S. use in designing and evaluating safeguards systems used in enrichment facilities. This research focuses on analyzing the effectiveness of the safeguards in protecting against the range of safeguards concerns for enrichment plants, including diversion of attractive material and unauthorized modes of use. We developed an Extend simulation model for a generic medium-sized centrifuge enrichment plant. We modeled the material flow in normal operation, plant operational upset modes, and selected diversion scenarios, for selected safeguards systems. Simulation modeling is used to analyze both authorized and unauthorized use of a plant and the flow of safeguards information. Simulation tracks the movement of materials and isotopes, identifies the signatures of unauthorized use, tracks the flow and compilation of safeguards data, and evaluates the effectiveness of the safeguards system in detecting misuse signatures. The simulation model developed could be of use to the International Atomic Energy Agency IAEA, enabling the IAEA to observe and draw conclusions that uranium enrichment facilities are being used only within authorized limits for peaceful uses of nuclear energy. It will evaluate improved approaches to nonproliferation concerns, facilitating deployment of enhanced and cost-effective safeguards systems for an important part of the nuclear power fuel cycle.
Elayat, H A; O'Connell, W J; Boyer, B D
Systems modelling for effective mine water management
Concerns about the difficulties in securing water have led the Australian coal mining industry to seek innovative ways to improve its water management and to adopt novel strategies that will lead to less water being used and more water being reused. ... Keywords: Mining, Sustainable development, Systems model, Water balance, Water resources management
Claire M. C�te; Chris J. Moran; Christopher J. Hedemann; Christian Koch
Wind Farm Power System Model Development: Preprint
In some areas, wind power has reached a level where it begins to impact grid operation and the stability of local utilities. In this paper, the model development for a large wind farm will be presented. Wind farm dynamic behavior and contribution to stability during transmission system faults will be examined.
Muljadi, E.; Butterfield, C. P.
Oak Ridge Evacuation Modeling System.pub
Evacuation Modeling Evacuation Modeling System (OREMS) Research Brief Oak Ridge National Laboratory managed by UT-Battelle, LLC for the U.S. Department of Energy under Contract number DE-AC05-00OR22725 Research Areas Freight Flows Passenger Flows Supply Chain Efficiency Transportation: Energy Environment Safety Security Vehicle Technologies T he vulnerability of communities to terrorist inflicted damage at facilities such as dams, power plants, or oil/gas distribution facilities, and others, is partly determined by the ability to avoid impacts. OREMS, or the Oak Ridge Evacuation Modeling System, is a Windows- based software program designed to analyze and evaluate large-scale vehicular emergency evacuations, conduct evacuation time estimation studies, and develop evacuation
Modeling Power System Operation with Intermittent Resources
Electricity generating companies and power system operators face the need to minimize total fuel cost or maximize total profit over a given time period. These issues become optimization problems subject to a large number of constraints that must be satisfied simultaneously. The grid updates due to smart-grid technologies plus the penetration of intermittent re- sources in electrical grid introduce additional complexity to the optimization problem. The Renewable Integration Model (RIM) is a computer model of interconnected power system. It is intended to provide insight and advice on complex power systems management, as well as answers to integration of renewable energy questions. This paper describes RIM basic design concept, solution method, and the initial suite of modules that it supports.
Marinovici, Maria C.; Kirkham, Harold; Glass, Kevin A.; Carlsen, Leif C.
Stochastic Battery Model for Embedded Systems
This paper explores the recovery and rate capacity effect for batteries used in embedded systems. It describes the prominent battery models with their advantages and drawbacks. It then throws new light on the battery recovery behavior, which can help determine optimum discharge profiles and hence result in significant improvement in battery lifetime. Finally it proposes a fast and accurate stochastic model which draws the positives from the earlier models and minimizes the drawbacks. The parameters for this model are determined by a pretest, which takes into account the newfound background into recovery and rate capacity hence resulting in higher accuracy. Simulations conducted suggest close correspondence with experimental results and a maximum error of 2.65 %. 1.
Venkat Rao; Gaurav Singhal; Anshul Kumar; Nicolas Navet
A systems model of the thickness mode piezoelectric transducer
A new model for piezoelectricultrasonic transducers is proposed. Using a systems engineering approach
G. Hayward; C. J. MacLeod; T. S. Durrani
Modeling and prediction of nonlinear environmental system using Bayesian methods
An environmental dynamic system is usually modeled as a nonlinear system described by a set of nonlinear ODEs. A central challenge in computational modeling of environmental systems is the determination of the model parameters. In these cases, estimating ... Keywords: Extended Kalman filter, Leaf area index and soil moisture model, Nonlinear environmental system, Particle filter, State and parameter estimation, Variational filter
Majdi Mansouri; Benjamin Dumont; Marie-France Destain
Oil shale project: large retort run summary, run L-3
In the retort run L-3, a high yield (83 to 84% of FA) was achieved using a broad particle size distribution (-30.5 cm, + 0.001 cm) with 15 to 20% of the shale larger than 15 cm. The nonuniform flow in the retort was closely predicted by the changing shape of the steam front. Steam front measurements after the run indicated that the flow distribution through the bed was little affected by the retorting and combustion processes. The technique of ignition by hot-gas-preheating worked satisfactorily; no oxygen was observed in the exit gas during the entire retort operation. The temperature of the retort front was controlled by the air flux; no runaway temperatures were encountered when making the step grade change from 18 to 36 gal/ton. The hydrogen concentration in the exit gas reached approximately 18% in the rich (36 gal/ton) shale at the bottom of the bed; this is the highest concentration seen in any of the retorting experiments. A factor-of-three change in the CO/CO/sub 2/ ratio was observed as the combustion front moved from the 18 gal/ton to 36 gal/ton shale; also, about a factor-of-two change occurred in the rate of production of CH/sub 4/, H/sub 2/ and CO.
Ackerman, F.J.; Sandholtz, W.A.; Raley, J.H.; Carley, J.F.; Tripp, L.J.; Rothman, A.J.; Campbell, J.H.
Designing Novel CRIMSON Running System through Numerical ...
This method leaves the energy saving as subsidiary one. As a partner of this project, the AEROMET international PLC provides thin wall aluminium filter housing�...
Modelling Complex Fenestration Systems using physical and virtual models
Physical or virtual models are commonly used to visualize the conceptual ideas of architects, lighting designers and researchers; they are also employed to assess the daylighting performance of buildings, particularly in cases where Complex Fenestration Systems (CFS) are considered. Recent studies have however revealed a general tendency of physical models to over-estimate this performance, compared to those of real buildings; these discrepancies can be attributed to several reasons. In order to identify the main error sources, a series of comparisons in-between a real building (a single office room within a test module) and the corresponding physical and virtual models was undertaken. The physical model was placed in outdoor conditions, which were strictly identical to those of the real building, as well as underneath a scanning sky simulator. The virtual model simulations were carried out by way of the Radiance program using the GenSky function; an alternative evaluation method, named Partial Daylight Factor method (PDF method), was also employed with the physical model together with sky luminance distributions acquired by a digital sky scanner during the monitoring of the real building. The overall daylighting performance of physical and virtual models were assessed and compared. The causes of discrepancies between the daylighting performance of the real building and the models were analysed. The main identified sources of errors are the reproduction of building details, the CFS modelling and the mocking-up of the geometrical and photometrical properties. To study the impact of these errors on daylighting performance assessment, computer simulation models created using the Radiance program were also used to carry out a sensitivity analysis of modelling errors. The study of the models showed that large discrepancies can occur in daylighting performance assessment. In case of improper mocking-up of the glazing for instance, relative divergences of 25-40% can be found in different room locations, suggesting that more light is entering than actually monitored in the real building. All these discrepancies can however be reduced by making an effort to carefully mock up the geometry and photometry of the real building. A synthesis is presented in this article which can be used as guidelines for daylighting designers to avoid or estimate errors during CFS daylighting performance assessment. (author)
Thanachareonkit, Anothai; Scartezzini, Jean-Louis [Solar Energy and Building Physics Laboratory (LESO-PB), Ecole Polytechnique Federale de Lausanne (EPFL), CH-1015 Lausanne (Switzerland)
Implementation and validation of a Ground Source Heat Pump model in MATLAB.
??The aim of the project is the implementation of a simple Ground-Source Heat Pump (GSHP) system model in MATLAB. The program is able to run� (more)
Casetta, Damien
World Energy Projection System model documentation
The World Energy Projection System (WEPS) was developed by the Office of Integrated Analysis and Forecasting within the Energy Information Administration (EIA), the independent statistical and analytical agency of the US Department of Energy. WEPS is an integrated set of personal computer based spreadsheets containing data compilations, assumption specifications, descriptive analysis procedures, and projection models. The WEPS accounting framework incorporates projections from independently documented models and assumptions about the future energy intensity of economic activity (ratios of total energy consumption divided by gross domestic product GDP), and about the rate of incremental energy requirements met by natural gas, coal, and renewable energy sources (hydroelectricity, geothermal, solar, wind, biomass, and other renewable resources). Projections produced by WEPS are published in the annual report, International Energy Outlook. This report documents the structure and procedures incorporated in the 1998 version of the WEPS model. It has been written to provide an overview of the structure of the system and technical details about the operation of each component of the model for persons who wish to know how WEPS projections are produced by EIA.
Hutzler, M.J.; Anderson, A.T.
Modeling and analysis of energy conversion systems
An investigation was conducted to assess the need for and the feasibility of developing a computer code that could model thermodynamic systems and predict the performance of energy conversion systems. To assess the market need for this code, representatives of a few industrial organizations were contacted, including manufacturers, system and component designers, and research personnel. Researchers and small manufacturers, designers, and installers were very interested in the possibility of using the proposed code. However, large companies were satisfied with the existing codes that they have developed for their own use. Also, a survey was conduced of available codes that could be used or possibly modified for the desired purpose. The codes were evaluated with respect to a list of desirable features, which was prepared as a result of the survey. A few publicly available codes were found that might be suitable. The development, verification, and maintenance of such a code would require a substantial, ongoing effort. 21 refs.
Den Braven, K.R. (Idaho Univ., Moscow, ID (USA). Dept. of Mechanical Engineering); Stanger, S. (EG and G Idaho, Inc., Idaho Falls, ID (USA))
Industrial Demand Module 1999, National Energy Modeling System (NEMS)
This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.
T. Crawford Honeycutt
Industrial Demand Module 2005, National Energy Modeling System (NEMS)
Documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code.
T. C. Honeycutt
Industrial Demand Module 2006, National Energy Modeling System (NEMS)
Industrial Demand Module 2009, National Energy Modeling System (NEMS)
Industrial Demand Module 2003, National Energy Modeling System (NEMS)
Industrial Demand Module 2007, National Energy Modeling System (NEMS)
Industrial Demand Module 2002, National Energy Modeling System (NEMS)
Industrial Demand Module 2001, National Energy Modeling System (NEMS)
Industrial Demand Module 2008, National Energy Modeling System (NEMS)
Industrial Demand Module 2000, National Energy Modeling System (NEMS)
Industrial Demand Module 2004, National Energy Modeling System (NEMS)
Caloric expenditure and substrate utilization in underwater treadmill running versus land-based treadmill running.
??The objective of this study is to compare the caloric expenditure and oxidative sources of underwater treadmill running and land-based treadmill running at maximal and� (more)
Schaal, Courtney
Entropy signature of the running cosmological constant
Renormalization group (RG) improved cosmologies based upon a RG trajectory of Quantum Einstein Gravity (QEG) with realistic parameter values are investigated using a system of cosmological evolution equations which allows for an unrestricted energy exchange between the vacuum and the matter sector. It is demonstrated that the scale dependence of the gravitational parameters, the cosmological constant in particular, leads to an entropy production in the matter system. The picture emerges that the Universe started out from a state of vanishing entropy, and that the radiation entropy observed today is essentially due to the coarse graining (RG flow) in the quantum gravity sector which is related to the expansion of the Universe. Furthermore, the RG improved field equations are shown to possess solutions with an epoch of power law inflation immediately after the initial singularity. The inflation is driven by the cosmological constant and ends automatically once the RG running has reduced the vacuum energy to the...
Analytical steam injection model for layered systems
Screening, evaluation and optimization of the steam flooding process in homogeneous reservoirs can be performed by using simple analytical predictive models. In the absence of any analytical model for layered reservoirs, at present, only numerical simulators can be used. And these are expensive. In this study, an analytical model has been developed considering two isolated layers of differing permeabilities. The principle of equal flow potential is applied across the two layers. Gajdica`s (1990) single layer linear steam drive model is extended for the layered system. The formulation accounts for variation of heat loss area in the higher permeability layer, and the development of a hot liquid zone in the lower permeability layer. These calculations also account for effects of viscosity, density, fractional flow curves and pressure drops in the hot liquid zone. Steam injection rate variations in the layers are represented by time weighted average rates. For steam zone calculations, Yortsos and Gavalas`s (1981) upper bound method is used with a correction factor. The results of the model are compared with a numerical simulator. Comparable oil and water flow rates, and breakthrough times were achieved for 100 cp oil. Results with 10 cp and 1000 cp oils indicate the need to improve the formulation to properly handle differing oil viscosities.
Abdual-Razzaq; Brigham, W.E.; Castanier, L.M.
Modeling and Verification of Reactive Systems using Rebeca
Actor-based modeling has been successfully applied to the representation of concurrent and distributed systems. Besides having an appropriate and efficient way for modeling these systems, one needs a formal verification approach for ensuring their correctness. ... Keywords: actor model, compositional verification, model checking, property preserving abstraction, reactive systems
Marjan Sirjani; Ali Movaghar; Amin Shali; Frank S. de Boer
Performance model assessment for multi-junction concentrating photovoltaic systems.
Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement.
Riley, Daniel M.; McConnell, Robert. (Amonix, Inc., Seal Beach, CA); Sahm, Aaron (University of Nevada, Las Vegas, NV); Crawford, Clark (Amonix, Inc., Seal Beach, CA); King, David L.; Cameron, Christopher P.; Foresi, James S. (Emcore, Inc., Albuquerque, NM)
Fractional models for modeling complex linear systems under poor frequency resolution measurements
When modeling a linear system in a parametric way, one needs to deal with (i) model structure selection, (ii) model order selection as well as (iii) an accurate fit of the model. The most popular model structure for linear systems has a rational form ... Keywords: Continuous-time modeling, Fractional order systems, Linear systems, Non-asymptotic, Nonlinear least squares, Parametric models, Poor frequency resolutions, Statistical signal processing, Transfer function
Kurt Barb�, Oscar J. Olarte Rodriguez, Wendy Van Moer, Lieve Lauwers
runManySections.py - Easy Interface to CMSLPC Condor CAF and CERN's Batch
runManySections.py - Easy Interface to CMSLPC Condor CAF and CERN's LSF runManySections.py - Easy Interface to CMSLPC Condor CAF and CERN's LSF Batch System Introduction Quick Overview Setup Basic Idea Including a Tarball Using runManySections.py to Create Command File Running Compiled Root Macros Debugging Jobs Locally CERN (LSF) versus FNAL (Condor) Differences Introduction runManySections.py is designed to make it easy to run many different sections (or jobs) at once on the CMSLPC CAF or CERN's batch system. It is designed to complement CRAB as runManySections.py is designed to be used with non-cmsRun executables. The general idea is that you pass in a list of commands you would like run and you get the output of these commands back. It is currently configured to run for the Condor system at CMSLPC CAF and CERN's LSF batch system. It is very easy to configure to run on other
Multiple-Zone Variable Refrigerant Flow System Modeling and Equipment Performance Mapping
We developed a variable refrigerant flow (VRF) vapor compression system model, which has five indoor units, one outdoor unit and one water heater. The VRF system can run simultaneous space conditioning (cooling or heating) and water heating. The indoor units and outdoor unit use fin-&-tube coil heat exchangers, and the water heater uses a tube-in-tube heat exchanger. The fin-&-tube coil heat exchangers are modeled using a segment-by-segment approach and the tube-in-tube water heater is modeled using a phase-by-phase approach. The compressor used is a variable-speed rotary design. We calibrated our model against a manufacturer s product literature. Based on the vapor compression system model, we investigated the methodology for generating VRF equipment performance maps, which can be used for energy simulations in TRNSYS and EnergyPlus, etc. In the study, the major independent variables for mapping are identified and the deviations between the simplified performance map and the actual equipment system simulation are quantified.
Shen, Bo [ORNL; Rice, C Keith [ORNL
Comparative Evaluation of Generalized River/Reservoir System Models
This report reviews user-oriented generalized reservoir/river system models. The terms reservoir/river system, reservoir system, reservoir operation, or river basin management "model" or "modeling system" are used synonymously to refer to computer modeling systems that simulate the storage, flow, and diversion of water in a system of reservoirs and river reaches. Generalized means that a computer modeling system is designed for application to a range of concerns dealing with river basin systems of various configurations and locations, rather than being site-specific customized to a particular system. User-oriented implies the modeling system is designed for use by professional practitioners (model-users) other than the original model developers and is thoroughly tested and well documented. User-oriented generalized modeling systems should be convenient to obtain, understand, and use and should work correctly, completely, and efficiently. Modeling applications often involve a system of several simulation models, utility software products, and databases used in combination. A reservoir/river system model is itself a modeling system, which often serves as a component of a larger modeling system that may include watershed hydrology and river hydraulics models, water quality models, databases and various software tools for managing time series, spatial, and other types of data. Reservoir/river system models are based on volume-balance accounting procedures for tracking the movement of water through a system of reservoirs and river reaches. The model computes reservoir storage contents, evaporation, water supply withdrawals, hydroelectric energy generation, and river flows for specified system operating rules and input sequences of stream inflows and net evaporation rates. The hydrologic period-of-analysis and computational time step may vary greatly depending on the application. Storage and flow hydrograph ordinates for a flood event occurring over a few days may be determined at intervals of an hour or less. Water supply capabilities may be modeled with a monthly time step and several decade long period-of-analysis capturing the full range of fluctuating wet and dry periods including extended drought. Stream inflows are usually generated outside of the reservoir/river system model and provided as input to the model. However, reservoir/river system models may also include capabilities for modeling watershed precipitation-runoff processes to generate inflows to the river/reservoir system. Some reservoir/river system models simulate water quality constituents along with water quantities. Some models include features for economic evaluation of system performance based on cost and benefit functions expressed as a function of flow and storage.
Wurbs, Ralph A.
Models of National Energy Systems -focusing on biomass energy
Models of National Energy Systems - focusing on biomass energy Poul Erik Grohnheit Systems Analysis models · International development of large energy models · Biomass energy · Upstream expansion of the Pan European model for biomass and crops · Basic elements in a crop model for Denmark· Basic elements
National Energy Modeling System (United States) | Open Energy Information
National Energy Modeling System (United States) National Energy Modeling System (United States) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (United States) Focus Area: Biomass Topics: Policy, Deployment, & Program Impact Website: www.eia.gov/oiaf/aeo/overview/ Equivalent URI: cleanenergysolutions.org/content/national-energy-modeling-system-unite Language: English Policies: "Deployment Programs,Regulations" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Technical Assistance Regulations: Utility/Electricity Service Costs The National Energy Modeling System (NEMS) is a computer-based, energy-economy modelling system of the United States through 2030. NEMS
Solar Deployment System (SolarDS) Model: Documentation and Sample Results
The Solar Deployment System (SolarDS) model is a bottom-up, market penetration model that simulates the potential adoption of photovoltaics (PV) on residential and commercial rooftops in the continental United States through 2030. NREL developed SolarDS to examine the market competitiveness of PV based on regional solar resources, capital costs, electricity prices, utility rate structures, and federal and local incentives. The model uses the projected financial performance of PV systems to simulate PV adoption for building types and regions then aggregates adoption to state and national levels. The main components of SolarDS include a PV performance simulator, a PV annual revenue calculator, a PV financial performance calculator, a PV market share calculator, and a regional aggregator. The model simulates a variety of installed PV capacity for a range of user-specified input parameters. PV market penetration levels from 15 to 193 GW by 2030 were simulated in preliminary model runs. SolarDS results are primarily driven by three model assumptions: (1) future PV cost reductions, (2) the maximum PV market share assumed for systems with given financial performance, and (3) PV financing parameters and policy-driven assumptions, such as the possible future cost of carbon emissions.
Denholm, P.; Drury, E.; Margolis, R.
Availability of the National Energy Modeling System (NEMS) Archive.
Availability of the National Energy Modeling System (NEMS) Archive. NEMS has been developed primarily for use by the modelers at Energy Information
Commercial Demand Module of the National Energy Modeling System ...
Commercial Demand Module of the National Energy Modeling System: Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov
Coal Market Module of the National Energy Modeling System ...
Coal Market Module of the National Energy Modeling System Model Documentation 2013 June 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy
International Energy Module of the National Energy Modeling System ...
International Energy Module of the National Energy Modeling System Model Documentation 2012 November 2012 . Independent Statistics & Analysis . www.eia.gov
Parallel file system measurement and modeling using colored petri nets
Parallel file systems are significant challenges for high performance data-intensive system designers due to their complexity. Being able to study features and designs before building the actual system is an advantage that a simulation model can offer. ... Keywords: colored petri net, parallel file system modeling, parallel file system simulation, pvfs
Hai Quang Nguyen; Amy Apon
System Design, Analysis, Modeling, and Media Engineering Properties...
modeling and simulations of * various storage systems configurations. Lead the storage system energy analysis and provide * results. Compile and obtain media engineering...
Long-Term Modeling of the California Energy System
energy systems and climate policies. Some issues specific to modeling the California energy system will be discussed, including building equipment efficiency and electricity trade....
Environmental and institutional models of system development: a national criminal history system
This article tests two competing theories of system development referred to here as environmental and institutional models. These models form the basis for most explanations of why systems are developed and utilized. We will examine both models in detail ...
Kenneth C. Laudon
Performance data from the ZEPLIN-III second science run
ZEPLIN-III is a two-phase xenon direct dark matter experiment located at the Boulby Mine (UK). After its first science run in 2008 it was upgraded with: an array of low background photomultipliers, a new anti-coincidence detector system with plastic scintillator and an improved calibration system. After 319 days of data taking the second science run ended in May 2011. In this paper we describe the instrument performance with emphasis on the position and energy reconstruction algorithm and summarise the final science results.
Majewski, P; Akimov, D Yu; Araujo, H M; Barnes, E J; Belov, V A; Burenkov, A A; Chepel, V; Currie, A; DeViveiros, L; Edwards, B; Ghag, C; Hollingsworth, A; Horn, M; Kalmus, G E; Kobyakin, A S; Kovalenko, A G; Lebedenko, V N; Lindote, A; Lopes, M I; Luscher, R; Murphy, A St J; Neves, F; Paling, S M; da Cunha, J Pinto; Preece, R; Quenby, J J; Reichhart, L; Scovell, P R; Silva, C; Smith, N J T; Stekhanov, V N; Sumner, T J; Thorne, C; Walker, R J
Simplified modeling of solar process heating systems using stochastic weather input
A model has been developed which accurately predicts solar district heating and industrial process heating collection performance on a daily basis. The model is system specific with no storage and constant load return temperature. This model was tested for its statistical significance and found to be highly significant. Performance data to construct the model were generated through numerous TRNSYS runs. Physically important variables were then chosen for inclusion in a statistical regression analysis. The variables, which are readily available on a daily basis, were daily radiation, mean twenty-four hour temperature, and collector and system characteristics. The weather input to the model may be real measured radiation values or artificially generated radiation values. The temperature may be daily averages when real radiation values are used or monthly averages when artificial radiation is used. It is shown that there is little difference in prediction when monthly temperature is used rather than the daily values. The performance model was developed from six months of Toronto, Canada, hourly data. The validation was performed with meteorological year locations, Albuquerque, Seattle, and Miami, chosen for climate diversity. The accuracy was excellent, even on a daily basis. A model was then developed from data of all four locations. The artificial data was tested for prediction accuracy for Toronto. Where the beta distribution fit well, the accuracy was good. Where the beta distribution did not fit as well, the accuracy was acceptable.
Boardman, E.C.
The Community Earth System Model: A Framework for Collaborative Research
The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of Earth system interactions across multiple time and space scales. This global coupled model significantly extends its predecessor, the ...
James W. Hurrell; M. M. Holland; P. R. Gent; S. Ghan; Jennifer E. Kay; P. J. Kushner; J.-F. Lamarque; W. G. Large; D. Lawrence; K. Lindsay; W. H. Lipscomb; M. C. Long; N. Mahowald; D. R. Marsh; R. B. Neale; P. Rasch; S. Vavrus; M. Vertenstein; D. Bader; W. D. Collins; J. J. Hack; J. Kiehl; S. Marshall
ATLAS Trigger Performance and Initial Running
An efficient trigger will be crucial to charged Higgs boson searches at the LHC. The ATLAS trigger will need to achieve a rejection factor of about 10^7 against random proton-proton collisions, and still be able to efficiently select signal events. Commissioning of the ATLAS trigger is progressing well, and much has already been done using cosmic rays and by replaying simulated physics events through the system. Detailed plans have been developed for commissioning with single LHC beams and the first collisions. The evolution of the ATLAS trigger towards stable running will be discussed in view of the searches for the charged Higgs boson. In particular, the determination of the trigger efficiency will be discussed, both in the case of the inclusive lepton triggers and the combined triggers needed for charged Higgs boson searches.
Winklmeier, F
LHC Computing: The First Run and Beyond
Even in between the last two generations of high energy physics detectors there has been a tremendous amount of progress in the area of computing. The distributed computing systems used in the LHC are composed of large-scale facilities on 5 continents, executing over a million processing requests a day, and moving peta-bytes of data a month. In this presentation I will discuss the operational experience of the LHC experiments and the challenges faced in the first run. I will discuss how the techniques have evolved and I will cover future projects to improve the distributed computing infrastructure and services. I will close by speaking of some potential new technologies being explored.
Fisk, Ian [Michigan State Univeristy
A Meteorological Distribution System for High-Resolution Terrestrial Modeling (MicroMet)
An intermediate-complexity, quasi�physically based, meteorological model (MicroMet) has been developed to produce high-resolution (e.g., 30-m to 1-km horizontal grid increment) atmospheric forcings required to run spatially distributed ...
New Model Systems for Studying Highly Frustrated Magnetism
... New Model Systems for Studying Highly Frustrated Magnetism. Ovidiu Garlea, Ames Laboratory. In the field of frustrated ...
The Data Integration for Model Evaluation Web Site: A One-Stop Shop for Model Evaluation
This paper introduces the contents of the Global Energy and Water Experiment (GEWEX) Cloud System Study (GCSS) Data Integration for Model Evaluation (DIME) Web site. The Web site is a resource created for atmospheric modelers who want to run and ...
George Tselioudis; William B. Rossow; Anastasia N. Gentilcore; Jack Katzfey
Modelling and simulation of social systems with INGENIAS
Most agent-based simulation toolkits are based on the Java programming language. This makes their use difficult for social scientists, who are usually not skilled in computer programming. However, agent modelling concepts are not unlike those which ... Keywords: ABM, IDK, INGENIAS development kit, MAS, agent development tools, agent-based modelling, agent-based simulation, agent-based systems, model transformation, model-driven development, multi-agent systems, social models, social science, social simulation, social systems
Juan Pavon; Candelaria Sansores; Jorge J. Gomez-Sanz
An automatic image based modeling system by patch growing
In this paper, we present an automatic and efficient image based modeling system which can create objects' 3D models directly from images captured from different viewpoints. The system firstly uses structure from motion to generate camera parameters ... Keywords: automatic, image based modeling, patch, quasi dense, system
Bo Shu; Ting Li; Xianjie Qiu; Zhaoqi Wang
An integrated modelling framework for regulated river systems
Management of regulated water systems has become increasingly complex due to rapid socio-economic growth and environmental changes in river basins over recent decades. This paper introduces the Source Integrated Modelling System (IMS), and describes ... Keywords: Murray-Darling Basin, Rainfall-runoff modelling, River management and operations, River system modelling, Source IMS
Wendy D. Welsh; Jai Vaze; Dushmanta Dutta; David Rassam; Joel M. Rahman; Ian D. Jolly; Peter Wallbrink; Geoffrey M. Podger; Matthew Bethune; Matthew J. Hardy; Jin Teng; Julien Lerat
The National Energy Modeling System: An Overview 1998 - Appendix:
APPENDIX: APPENDIX: BIBLIOGRAPHY The National Energy Modeling System is documented in a series of model documentation reports, available by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, National Energy Modeling System Integrating Module Documentation Report, DOE/EIA-M057(97) (Washington, DC, May 1997). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(97) (Washington, DC, December 1996). Energy Information Administration, Model Developer's Appendix to the Model Documentation Report: NEMS Macroeconomic Activity Module, DOE/EIA-M065A (Washington, DC, July 1994). Energy Information Administration, Documentation of the DRI Model of the
Two Stage Liquefaction With Illinois 6 Coal: Volume 1: Run 247
This report presents the operating results for Run 247 at the Advanced Coal Liquefaction R&D Facility in Wilsonville, Alabama. This run operated in a Two-Stage Liquefaction (TSL) mode using Illinois No. 6 bituminous coal from the Burning Star mine. The primary run objective was to obtain performance data for the TSL system and the individual process units with particular emphasis on hydrotreating catalyst performance. Secondary objectives were to demonstrate operability for the system and the respective ...
Modelling integrated waste management system of the Czech Republic
The paper is devoted to environmental modelling, particularly modelling of Integrated Municipal Solid Waste Management Systems at the Czech Republic (IMSWMS). There are considered input macroeconomic variables (landfills fees, price of electricity, tax ... Keywords: environmental modelling, integrated waste management system, municipal solid waste, waste management modelling
Jiri Hrebicek; Jana Soukopova
Generic Disposal System Modeling, Fiscal Year 2011 Progress Report |
Disposal System Modeling, Fiscal Year 2011 Progress Report Disposal System Modeling, Fiscal Year 2011 Progress Report Generic Disposal System Modeling, Fiscal Year 2011 Progress Report The UFD Campaign is developing generic disposal system models (GDSM) of different disposal environments and waste form options. Currently, the GDSM team is investigating four main disposal environment options: mined repositories in three geologic media (salt, clay, and granite) and the deep borehole concept in crystalline rock (DOE 2010d). Further developed the individual generic disposal system (GDS) models for salt, granite, clay, and deep borehole disposal environments. GenericDisposalSystModelFY11.pdf More Documents & Publications Integration of EBS Models with Generic Disposal System Models TSPA Model Development and Sensitivity Analysis of Processes Affecting
Model documentation report: Transportation sector model of the National Energy Modeling System
This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Transportation Model (TRAN). The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated by the model. This document serves three purposes. First, it is a reference document providing a detailed description of TRAN for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, 57(b)(1)). Third, it permits continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.
Modeling and optimization of building HVAC systems.
??This thesis presents the development of hybrid modeling methodologies for HVAC component static/steady-state models and dynamic/transient models, and the development and implementation of a model-based� (more)
Jin, Guang Yu.
Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1
The Natural Gas Transmission and Distribution Model (NGTDM) is a component of the National Energy Modeling System (NEMS) used to represent the domestic natural gas transmission and distribution system. NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the Energy Information Administration (EIA) and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. This report documents the archived version of NGTDM that was used to produce the natural gas forecasts used in support of the Annual Energy Outlook 1994, DOE/EIA-0383(94). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic design, provides detail on the methodology employed, and describes the model inputs, outputs, and key assumptions. It is intended to fulfill the legal obligation of the EIA to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). This report represents Volume 1 of a two-volume set. (Volume 2 will report on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.) Subsequent chapters of this report provide: (1) an overview of the NGTDM (Chapter 2); (2) a description of the interface between the National Energy Modeling System (NEMS) and the NGTDM (Chapter 3); (3) an overview of the solution methodology of the NGTDM (Chapter 4); (4) the solution methodology for the Annual Flow Module (Chapter 5); (5) the solution methodology for the Distributor Tariff Module (Chapter 6); (6) the solution methodology for the Capacity Expansion Module (Chapter 7); (7) the solution methodology for the Pipeline Tariff Module (Chapter 8); and (8) a description of model assumptions, inputs, and outputs (Chapter 9).
Wind parks equivalent models using system identification techniques based on nonlinear model structures
In this paper models of Wind Parks (WPs) appropriate for simulation purposes of large power systems with high wind power penetration are developed. The proposed models of the WPs are developed using system identification theory with NARX model structures. ... Keywords: modeling, system identification, wind integration, wind parks, wind turbines
F. D. Kanellos; G. J. Tsekouras; N. E. Mastorakis
Maintaining consistency between system architecture and dynamic system models with SysML4Modelica
Nowadays many technical products include mechatronic systems that incorporate components from multiple disciplines --- mechanical, electronic, controls and software. In model-based design of mechatronic systems different kinds of models are used to model ... Keywords: SysML, mechatronic systems, model-based design, modelica
Axel Reichwein; Christiaan J. J. Paredis; Arquimedes Canedo; Petra Witschel; Philipp Emanuel Stelzig; Anjelika Votintseva; Rainer Wasgint
SNS Run Schedule for FY 2012 | ORNL Neutron Sciences
Home Facilities SNS SNS Operating Status FY 2012 Run Schedule SNS Run Schedule for FY 2012 (Oct. 2011-Sep. 2012) Printable version Excel version SNS Run Schedule...
Modeling power system load using intelligent methods.
??Modern power systems are integrated, complex, dynamic systems. Due to the complexity, power system operation and control need to be analyzed using numerical simulation. The� (more)
He, Shengyang
I show that relative levels of aggregate consumption and personal oil consumption provide an excellent proxy for oil prices, and that high oil prices predict low future aggregate consumption growth. Motivated by these facts, I add an oil consumption good to the long-run risk model of Bansal and Yaron [2004] to study the asset pricing implications of observed changes in the dynamic interaction of consumption and oil prices. Empirically I observe that, compared to the first half of my 1987- 2010 sample, oil consumption growth in the last 10 years is unresponsive to levels of oil prices, creating an decrease in the mean-reversion of oil prices, and an increase in the persistence of oil price shocks. The model implies that the change in the dynamics of oil consumption generates increased systematic risk from oil price shocks due to their increased persistence. However, persistent oil prices also act as a counterweight for shocks to expected consumption growth, with high expected growth creating high expectations of future oil prices which in turn slow down growth. The combined effect is to reduce overall consumption risk and lower the equity premium. The model also predicts that these changes affect the riskiness of of oil futures contracts, and combine to create a hump shaped
Robert Ready; Robert Clayton Ready; Robert Clayton Ready; Amir Yaron
Development of a Geographic Information System Based Dust Dispersion Modeling System for Use in the Planning Implementation of Military Training Exercises
As residential areas continue to develop near military sites, possible impacts from military traffic and exercises become of greater concern. Of particular concern is the effect of particulate matter and atmospheric dust dispersion on air quality caused by such maneuvers. To aid this problem, Pacific Northwest National Laboratory proposed a plan to develop, document, and test a modeling system in support of dust dispersion reduction and management near government sites. To accomplish this task a model interface was developed that would be user friendly yet sophisticated enough to accommodate the varying needs of the client. One such need was for the modeling system to be capable of providing data for diverse locations and varying sites. To accomplish this task, the dust dispersion modeling system needed to be integrated with a geographic information system (GIS). Through use of the GIS application, data maps contained within the application could be used to create new sites. The GIS application would also allow the user to enter the point, area, or line source required to run the dispersion modeling system. Incorporating the GIS with the model would allow the user to view plume rise and expansion over actual data maps of the desired site. By using historical, current, and user defined data, near real-time dust dispersion models will aid in estimating and managing the effects of military exercises on the environment and nonmilitary personnel.
Crandall, D.; Rutz, F.
Solar system tests of brane world models
The classical tests of general relativity (perihelion precession, deflection of light, and the radar echo delay) are considered for the Dadhich, Maartens, Papadopoulos and Rezania (DMPR) solution of the spherically symmetric static vacuum field equations in brane world models. For this solution the metric in the vacuum exterior to a brane world star is similar to the Reissner-Nordstrom form of classical general relativity, with the role of the charge played by the tidal effects arising from projections of the fifth dimension. The existing observational solar system data on the perihelion shift of Mercury, on the light bending around the Sun (obtained using long-baseline radio interferometry), and ranging to Mars using the Viking lander, constrain the numerical values of the bulk tidal parameter and of the brane tension.
Christian G. Boehmer; Tiberiu Harko; Francisco S. N. Lobo
The National Energy Modeling System The
2000 2000 (AEO2000) are generated from the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analytical studies for the U.S. Congress and other offices within the Department of Energy. The AEO forecasts are also used by analysts and planners in other govern- ment agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the eco- nomic competition between the various energy fuels and sources. The time horizon of NEMS is the mid- term period, approximately 20 years in the future. In order to represent the regional differences
Reference Model for Control and Automation Systems in Electrical Power |
Model for Control and Automation Systems in Electrical Model for Control and Automation Systems in Electrical Power Reference Model for Control and Automation Systems in Electrical Power Modern infrastructure automation systems are threatened by cyber attack. Their higher visibility in recent years and the increasing use of modern information technology (IT) components contribute to increased security risk. A means of analyzing these infrastructure automation systems is needed to help understand and study the many system relationships that affect the overall security of the system. Modeling these systems is a very cost effective means of addressing the problem of security from an overall system view. The model presented in the document below provides a structured, cost effective approach to address technical security in process control systems
SEESM: Scalable Extensible Earth System Model for Climate Change Science |
SEESM: Scalable Extensible Earth System Model for Climate Change Science SEESM: Scalable Extensible Earth System Model for Climate Change Science SEESM: Scalable Extensible Earth System Model for Climate Change Science This SciDAC project will transform an existing, state-of-the-science, third-generation global climate model, the Community Climate System Model (CCSM3), into a first-generation Earth system model that fully simulates the relationships between the physical, chemical, and bio-geochemical processes in the climate system. The model will incorporate new processes necessary to predict future climates based on the specification of greenhouse gas emissions rather than specification of atmospheric concentrations, as is done in present models, which make assumptions about the carbon cycle that are likely not valid. This project will include comprehensive treatments of the processes
Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1
The Natural Gas Transmission and Distribution Model (NGTDM) of the National Energy Modeling System is developed and maintained by the Energy Information Administration (EIA), Office of Integrated Analysis and Forecasting. This report documents the archived version of the NGTDM that was used to produce the natural gas forecasts presented in the Annual Energy Outlook 1996, (DOE/EIA-0383(96)). The purpose of this report is to provide a reference document for model analysts, users, and the public that defines the objectives of the model, describes its basic approach, and provides detail on the methodology employed. Previously this report represented Volume I of a two-volume set. Volume II reported on model performance, detailing convergence criteria and properties, results of sensitivity testing, comparison of model outputs with the literature and/or other model results, and major unresolved issues.
Modeling and Analysis of CSP Systems (Fact Sheet), Thermal Systems...
The models can also help analysts assess the potential market penetration and economic impact of CSP under different policy and deployment scenarios. The Solar Advisor Model (SAM)...
Cogeneration System Size Optimization Constant Capacity and Constant Demand Models
This paper presents the development of a quasi-linear optimization model for a cogeneration system subject to constant heat and power demands or loads. The linear model is next modified to a non-linear one to account for economies of scale. The models define the necessary and sufficient conditions for system size optimality. Thus, the underlying methodology constitutes the foundation for a subsequent series of more sophisticated cogeneration design models. Several examples are presented to illustrate the models.
Wong-Kcomt, J. B.; Turner, W. C.
Policy Analysis Modeling System (PAMS) | Open Energy Information
Analysis Modeling System (PAMS) Analysis Modeling System (PAMS) (Redirected from Policy Analysis Modeling System) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.
DOE Hydrogen Analysis Repository: Policy Office Electricity Modeling System
Policy Office Electricity Modeling System (POEMS) Policy Office Electricity Modeling System (POEMS) Project Summary Full Title: Policy Office Electricity Modeling System (POEMS) Project ID: 93 Principal Investigator: Lessly Goudarzi Purpose Designed and built by OnLocation specifically to address electricity industry restructuring issues Performer Principal Investigator: Lessly Goudarzi Organization: OnLocation, Inc. Address: Suite 300, 501 Church Street Vienna, VA 22180 Telephone: 703-938-5151 Email: firstname.lastname@example.com Project Description Type of Project: Model Category: Energy Infrastructure Products/Deliverables Description: National Transmission Grid Study - Appendix A Publication Title: Policy Office Electricty Modeling System (POEMS) and Documentation for Transmission Analysis (PDF 461 KB) Download Adobe Reader.
NREL: Regional Energy Deployment System (ReEDS) Model - Publications
Regional Energy Deployment System (ReEDS) Model Energy Analysis ReEDS Regional Energy Deployment System Model Regional Energy Deployment System (ReEDS) Model Energy Analysis ReEDS Regional Energy Deployment System Model Search More Search Options Site Map Printable Version Publications The following are publications - including technical reports, journal articles, conference papers, and posters - focusing on the Wind Deployment System (WinDS) and Regional Energy Deployment System (ReEDS) models. Technical Reports Eurek, K.; Denholm, P.; Margolis, R.; Mowers, M. (2013). Sensitivity of Utility-Scale Solar Deployment Projections in the SunShot Vision Study to Market and Performance Assumptions. 55 pp.; NREL Report No. TP-6A20-55836. Martinez, A.; Eurek, K.; Mai, T.; Perry, A. (2013). Integrated Canada-U.S. Power Sector Modeling with the Regional Energy Deployment System (ReEDS).
Conceptual Models of Geothermal Systems - Introduction | Open Energy
Conceptual Models of Geothermal Systems - Introduction Conceptual Models of Geothermal Systems - Introduction Jump to: navigation, search OpenEI Reference LibraryAdd to library Conference Paper: Conceptual Models of Geothermal Systems - Introduction Abstract The key to the successful exploration, development (incl. drilling) and utilization of any type of geothermal system is a clear definition and understanding of the nature and characteristics of the system in question. This is best achieved through the development of a conceptual model of the system, which is a descriptive or qualitative model incorporating, and unifying, the essential physical features of the system. Conceptual models are mainly based on analysis of geological and geophysical information, temperature and pressure data, information on reservoir properties as well
DOE-1: sample run book. [Four different bldgs
Samples of DOE-1 energy analysis runs are presented for four different buildings: a simple structure; a 31-story office building; a modified 31-story office building with a solar-heating system; and a small medical-office building. The intention is to progress from minimal to complex uses of the program. The simple structure introduces the new user to DOE-1. The large office building demonstrates runs on a variety of systems and plant options. The modified office building is a more complex treatment that illustrates the use of DOE-1 to determine energy code compliance. The medical building demonstrates a number of available options, such as simulation of shading surfaces and use of heat recovery. The following is given for each run: a simplified drawing of the building, detailed specifications, DOE-1 input, and selected output reports. The building specifications were compiled to allow the reader to relate the input to the actual physical characteristics of the architecture, distribution system, and central plant for each building. The input shown is that echoed by the program, complete with line numbers supplied by the Building Design Language processor. All of the runs were made on the Lawrence Berkeley Laboratory CDC 7600 computer using Version 1.4 of the DOE-1 (formerly Cal-ERDA) program.
Running against hunger | National Nuclear Security Administration
National Nuclear Security Administration (NNSA)
Running against hunger | National Nuclear Security Administration Running against hunger | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Continuing Management Reform Countering Nuclear Terrorism About Us Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Media Room Congressional Testimony Fact Sheets Newsletters Press Releases Speeches Events Social Media Video Gallery Photo Gallery NNSA Archive Federal Employment Apply for Our Jobs Our Jobs Working at NNSA Blog Home > NNSA Blog > Running against hunger Running against hunger Posted By Office of Public Affairs Pantex Security Police Officers Byron Logan and Randy Stokes completed their annual Run Against Hunger last week. The two officers ran and biked
Representing natural and manmade drainage systems in an earth system modeling framework
Drainage systems can be categorized into natural or geomorphological drainage systems, agricultural drainage systems and urban drainage systems. They interact closely among themselves and with climate and human society, particularly under extreme climate and hydrological events such as floods. This editorial articulates the need to holistically understand and model drainage systems in the context of climate change and human influence, and discusses the requirements and examples of feasible approaches to representing natural and manmade drainage systems in an earth system modeling framework.
Li, Hongyi; Wu, Huan; Huang, Maoyi; Leung, Lai-Yung R.
An automated translator for model checking time constrained workflow systems
Workflows have proven to be a useful conceptualization for the automation of business processes. While formal verification methods (e.g., model checking) can help ensure the reliability of workflow systems, the industrial uptake of such methods has been ... Keywords: automated translation, distributed model checking, modeling, time, workflow systems
Ahmed Shah Mashiyat; Fazle Rabbi; Hao Wang; Wendy MacCaull
Analysis Model for Domestic Hot Water Distribution Systems: Preprint
A thermal model was developed to estimate the energy losses from prototypical domestic hot water (DHW) distribution systems for homes. The developed model, using the TRNSYS simulation software, allows researchers and designers to better evaluate the performance of hot water distribution systems in homes. Modeling results were compared with past experimental study results and showed good agreement.
Maguire, J.; Krarti, M.; Fang, X.
Hybrid Power System Simulation Model | Open Energy Information
Hybrid Power System Simulation Model Hybrid Power System Simulation Model Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Hybrid Power System Simulation Model Focus Area: Renewable Energy Topics: System & Application Design Website: www.umass.edu/windenergy/OLD_SITE/projects/hybrid2/ Equivalent URI: cleanenergysolutions.org/content/hybrid-power-system-simulation-model, Language: English Policies: Deployment Programs DeploymentPrograms: Technical Assistance This tool performs detailed long-term performance and economic analysis on a wide variety of hybrid power systems. It is a probabilistic/time-series computer model, using time-series data for loads, wind speed, solar insolation, temperature, and the power system designed or selected by the user, to predict the performance of the hybrid power system. An economic
Residential Vertical Geothermal Heat Pump System Models: Calibration to Data:
A detailed component-based simulation model of a geothermal heat pump system has been calibrated to monitored data taken from a family housing unit located at Fort Polk, Louisiana. The simulation model represents the housing unit, geothermal heat pump, ground heat exchanger, thermostat, blower, and ground-loop pump. Each of these component models was 'tuned' to better match the measured data from the site. These tuned models were then interconnect to form the system model. The system model was then exercised in order to demonatrate its capabilities.
Thornton, Jeff W. [Thermal Energy Systems Specialists, Inc.; McDowell, T. P. [Thermal Energy Systems Specialists, Inc.; Shonder, John A [ORNL; Hughes, Patrick [ORNL; Pahud, D. [University of Applied Sciences of Southern Switzerland; Hellstrom, G. [Lund University
Overview of ASC Capability Computing System Governance Model
This document contains a description of the Advanced Simulation and Computing Program's Capability Computing System Governance Model. Objectives of the Governance Model are to ensure that the capability system resources are allocated on a priority-driven basis according to the Program requirements; and to utilize ASC Capability Systems for the large capability jobs for which they were designed and procured.
Doebling, Scott W. [Los Alamos National Laboratory
Towards a Reference Model for Surveying Mobile Agent Systems
There are increasing numbers of systems and research projects involving software agents and mobile agents. However, there is no reference model or conceptual framework to compare the resulting systems. In this paper, we propose a reference model to identify, ... Keywords: agent-based applications, mobile agent systems, mobile agents
Alberto Rodrigues Silva; Artur Rom�o; Dwight Deugo; Miguel Mira Da Silva
A dynamic system model of biogeography-based optimization
Abstract: We derive a dynamic system model for biogeography-based optimization (BBO) that is asymptotically exact as the population size approaches infinity. The states of the dynamic system are equal to the proportion of each individual in the population; ... Keywords: Biogeography-based optimization, Dynamic system, Evolutionary algorithm, Genetic algorithm, Global uniform recombination, Markov model
Dan Simon
System Model-Based Definition of Modeling Language Semantics
In this paper, we present an approach to define the semantics for object-oriented modeling languages. One important property of this semantics is to support underspecified and incomplete models. To this end, semantics is given as predicates over elements ...
Hans Gr�nniger; Jan Oliver Ringert; Bernhard Rumpe
Battery Thermal Management System Design Modeling (Presentation)
Presents the objectives and motivations for a battery thermal management vehicle system design study.
Kim, G-H.; Pesaran, A.
Hydrogen turbines for space power systems: A simplified axial flow gas turbine model
This paper descirbes a relatively simple axial flow gas expansion turbine mass model, which we developed for use in our space power system studies. The model uses basic engineering principles and realistic physical properties, including gas conditions, power level, and material stresses, to provide reasonable and consistent estimates of turbine mass and size. Turbine design modifications caused by boundary layer interactions, stress concentrations, stage leakage, or bending and thermal stresses are not accounted for. The program runs on an IBM PC, uses little computer time and has been incorporated into our system-level space power platform analysis computer codes. Parametric design studies of hydrogen turbines using this model are presented for both nickel superalloy and carbon/carbon composite turbines. The effects of speed, pressure ratio, and power level on hydrogen turbine mass are shown and compared to a baseline case 100-MWe, 10,000-rpm hydrogen turbine. Comparison with more detailed hydrogen turbine designs indicates that our simplified model provides mass estimates that are within 25% of the ones provided by more complex calculations. 8 figs.
Hudson, S.L.
Four approaches to modeling multi-junction concentrating photovoltaic system performance are assessed by comparing modeled performance to measured performance. Measured weather, irradiance, and system performance data were collected on two systems over a one month period. Residual analysis is used to assess the models and to identify opportunities for model improvement. Large photovoltaic systems are typically developed as projects which supply electricity to a utility and are owned by independent power producers. Obtaining financing at favorable rates and attracting investors requires confidence in the projected energy yield from the plant. In this paper, various performance models for projecting annual energy yield from Concentrating Photovoltaic (CPV) systems are assessed by comparing measured system output to model predictions based on measured weather and irradiance data. The results are statistically analyzed to identify systematic error sources.
Stein, Joshua S.; Riley, Daniel M.; McConnell, Robert. (Amonix, Inc., Seal Beach, CA); Sahm, Aaron (University of Nevada, Las Vegas, NV); Crawford, Clark (Amonix, Inc., Seal Beach, CA); King, David L.; Cameron, Christopher P.; Foresi, James S. (Emcore, Inc., Albuquerque, NM)
Numerical Modelling of Geothermal Systems a Short Introduction | Open
Numerical Modelling of Geothermal Systems a Short Introduction Numerical Modelling of Geothermal Systems a Short Introduction Jump to: navigation, search OpenEI Reference LibraryAdd to library General: Numerical Modelling of Geothermal Systems a Short Introduction Authors Mauro Cacace, Björn Onno Kaiser and Yvonne Cherubini Published Helmholtz Association, The date "N/A" was not understood.The date "N/A" was not understood. DOI Not Provided Check for DOI availability: http://crossref.org Online Internet link for Numerical Modelling of Geothermal Systems a Short Introduction Citation Mauro Cacace,Björn Onno Kaiser,Yvonne Cherubini. N/A. Numerical Modelling of Geothermal Systems a Short Introduction. N/A. Helmholtz Association. N/Ap. Retrieved from "http://en.openei.org/w/index.php?title=Numerical_Modelling_of_Geothermal_Systems_a_Short_Introduction&oldid=688986"
This report describes the RELAP5 model that has been developed for the divertor primary heat transfer system (PHTS). The model is intended to be used to examine the transient performance of the divertor PHTS and evaluate control schemes necessary to maintain parameters within acceptable limits during transients. Some preliminary results are presented to show the maturity of the model and examine general divertor PHTS transient behavior. The model can be used as a starting point for developing transient modeling capability, including control system modeling, safety evaluations, etc., and is not intended to represent the final divertor PHTS design. Preliminary calculations using the models indicate that during normal pulsed operation, present pressurizer controls may not be sufficient to keep system pressures within their desired range. Additional divertor PHTS and control system design efforts may be required to ensure system pressure fluctuation during normal operation remains within specified limits.
Popov, Emilian L [ORNL; Yoder Jr, Graydon L [ORNL; Kim, Seokho H [ORNL
Design and first tests of the CDF Run 2 farms
The high energy physics experiment CDF, located in the anti-proton-proton collider at Fermilab, will write data in Run 2 at a rate of 20 MByte/s, twenty times the rate of Run 1. The offline production system must be able to handle this rate. Components of that system include a large PC farm, I/O systems to read/write data to and from mass storage, and a system to split the reconstructed data into physics streams which are required for analysis. All of the components must work together seamlessly to ensure the necessary throughput. A description will be given of the overall hardware and software design for the system. A small prototype farm has been used for about one year to study performance, to test software designs and for the first Mock Data Challenge. Results from the tests and experience from the first Mock Data Challenge will be discussed. The hardware for the first production farm is in place and will be used for the second Mock Data Challenge. Finally, the possible scaling of the system to handle larger rates foreseen later in Run 2 will be described.
Jaroslav Antos et al.
The Community Climate System Model Version 3 (CCSM3)
The Community Climate System Model version 3 (CCSM3) has recently been developed and released to the climate community. CCSM3 is a coupled climate model with components representing the atmosphere, ocean, sea ice, and land surface connected by a ...
William D. Collins; Cecilia M. Bitz; Maurice L. Blackmon; Gordon B. Bonan; Christopher S. Bretherton; James A. Carton; Ping Chang; Scott C. Doney; James J. Hack; Thomas B. Henderson; Jeffrey T. Kiehl; William G. Large; Daniel S. McKenna; Benjamin D. Santer; Richard D. Smith
Numerical Simulation and Modelling of Electronic and Biochemical Systems
Numerical simulation and modelling are witnessing a resurgence. Designing systems with integrated wireless components, mixed-signal blocks and nanoscale, multi-GHz "digital" circuits is requiring extensive low-level modelling and simulation. Analysis ...
Jaijeet Roychowdhury
Data mining for modeling chiller systems in data centers
We present a data mining approach to model the cooling infrastructure in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due to the lack of �first principles� models of chiller systems. At the ...
Debprakash Patnaik; Manish Marwah; Ratnesh K. Sharma; Naren Ramakrishnan
Modeling Vertical and Horizontal Diffusivities with the Sigma Coordinate System
The use of diffusive terms in numerical ocean models is examined relative to different coordinate systems. The conventional model for horizontal diffusion is found to be incorrect when bottom topographical slopes are large. A new formulation is ...
George L. Mellor; Alan F. Blumberg
Model Ordinance for Siting of Wind-Energy Systems
Energy.gov (U.S. Department of Energy (DOE))
In 2009, the South Dakota Public Utilities Commission (PUC) created a [http://puc.sd.gov/commission/twg/WindEnergyOrdinance.pdf model ordinance] for siting wind-energy systems. This nine-page model...
A Small Aircraft Transportation System (SATS) Demand Model
The Small Aircraft Transportation System (SATS) demand modeling is a tool that will be useful for decision makers to analyze SATS demands in both airport and airspace. We constructed a series of models following the general top- down, modular principles ...
Long Dou; Lee David; Johnson Jesse; Kostiuk Peter
Models used to assess the performance of photovoltaic systems.
This report documents the various photovoltaic (PV) performance models and software developed and utilized by researchers at Sandia National Laboratories (SNL) in support of the Photovoltaics and Grid Integration Department. In addition to PV performance models, hybrid system and battery storage models are discussed. A hybrid system using other distributed sources and energy storage can help reduce the variability inherent in PV generation, and due to the complexity of combining multiple generation sources and system loads, these models are invaluable for system design and optimization. Energy storage plays an important role in reducing PV intermittency and battery storage models are used to understand the best configurations and technologies to store PV generated electricity. Other researcher's models used by SNL are discussed including some widely known models that incorporate algorithms developed at SNL. There are other models included in the discussion that are not used by or were not adopted from SNL research but may provide some benefit to researchers working on PV array performance, hybrid system models and energy storage. The paper is organized into three sections to describe the different software models as applied to photovoltaic performance, hybrid systems, and battery storage. For each model, there is a description which includes where to find the model, whether it is currently maintained and any references that may be available. Modeling improvements underway at SNL include quantifying the uncertainty of individual system components, the overall uncertainty in modeled vs. measured results and modeling large PV systems. SNL is also conducting research into the overall reliability of PV systems.
Stein, Joshua S.; Klise, Geoffrey T.
BDI Models and Systems: Bridging the Gap
Beliefs-Desires-Intentions models (or BDI models) of agents have been around for quit a long time. The purpose of these models is to characterize agents using anthropomorphic notions, such as mental states and actions. However, despite the fact that ...
Michael da Costa M�ra; Jos� Gabriel Pereira Lopes; Rosa Maria Vicari; Helder Coelho
Maui Electrical System Simulation Model Validation
. The results of the production cost model were compared to the 2007 historical operating conditions in the model. · Outages were simulated in MAPS based on 2007 historical outage duration by unit. In future analyses it is likely that the 5-year average outage data, by unit, would be implemented in the model
Modeling shallow marine carbonate depositional systems
Geological Process Models (GPMs) have been used in the past to simulate the distinctive stratigraphies formed in carbonate sediments, and to explore the interaction of controls that produce heterogeneity. Previous GPMs have only indirectly included the ... Keywords: Carbonate, Geological process model, Numerical modeling, Reef, Supersaturation
Jon Hill; Daniel Tetzlaff; Andrew Curtis; Rachel Wood
A CAD system for heterogeneous solid modelling
Objects that are made up of multiple materials and known as heterogeneous objects are now increasingly being used in engineering applications. The development of new fabrication methods like rapid prototyping (RP), calls for new techniques to ... Keywords: CAD model, STL file, functionally graded material, geometric information, heterogeneous models, heterogeneous solids, layered manufacturing, manufacturing strategy, material information, rapid prototyping, solid modelling
Puneet Tandon; Anuj Kant
A Dynamical Systems Model for Nuclear Power Plant Risk Management
This report provides a mathematical dynamical systems model of the effect of plant processes and programs on nuclear plant safety. That is, it models the safety risk management process. Responses of this model to postulated changes in performance and coupling parameters were verified to be in accordance with experience from years of commercial nuclear power plant operation. A preliminary analysis of the model was performed using the techniques of dynamical systems theory to determine regions of operation...
Solar system constraints on f(G) gravity models
We discuss solar system constraints on f(G) gravity models, where f is a function of the Gauss-Bonnet term G. We focus on cosmologically viable f(G) models that can be responsible for late-time cosmic acceleration. These models generally give rise to corrections of the form epsilon*(r/rs)^p to the vacuum Schwarzschild solution, where epsilon = H^2 rs^2 solar system constraints for a wide range of model parameters.
Antonio De Felice; Shinji Tsujikawa
15.094 Systems Optimization: Models and Computation, Spring 2002
A computational and application-oriented introduction to the modeling of large-scale systems in a wide variety of decision-making domains and the optimization of such systems using state-of-the-art optimization software. ...
Freund, Robert Michael
Model Abstraction Techniques for Large-Scale Power Systems
Report on System Simulation using High Performance Computing Prepared by New Mexico Tech New Mexico: Application of High Performance Computing to Electric Power System Modeling, Simulation and Analysis Task Two
Modeling Equilibrium Dynamics of the Benguela Current System
The Regional Ocean Modeling System (ROMS) is used to systematically investigate equilibrium conditions and seasonal variations of the Benguela system at a resolution of 9 km, including both the large-scale offshore flow regime and the ...
Jennifer Veitch; Pierrick Penven; Frank Shillington
Applications of axial and radial compressor dynamic system modeling
The presented work is a compilation of four different projects related to axial and centrifugal compression systems. The projects are related by the underlying dynamic system modeling approach that is common in all of them. ...
Spakovszky, Zolt�n S. (Zolt�n S�ndor), 1972-
Confronting Models with Data: The GEWEX Cloud Systems Study
The Global Energy and Water Cycle Experiment (GEWEX) Cloud System Study (GCSS) was organized to promote the development of improved parameterizations of cloud systems for use in climate and numerical weather prediction models, with an emphasis on ...
David Randall; Steven Krueger; Christopher Bretherton; Judith Curry; Peter Duynkerke; Mitchell Moncrieff; Brian Ryan; David Starr; Martin Miller; William Rossow; George Tselioudis; Bruce Wielicki
An Open Systems Model for Providing Universal, Reusable External...
An Open Systems Model for Providing Universal, Reusable External Power Supplies for Consumer Electronics and other DC Powered Products Speaker(s): Gus Pabon Seth Socolow Date:...
EIA - The National Energy Modeling System: An Overview 2003-Report...
Report Chapters The National Energy Modeling System: An Overview 2003 Report Chapters pdf image Preface pdf image Introduction pdf image Overview of NEMS pdf image Carbon Dioxide...
Integrating Module of the National Energy Modeling System (INT)
The National Energy Modeling System (NEMS) represents a general equilibrium solution of the interactions between the U.S. energy markets and the economy.
Pages that link to "System Advisor Model (SAM)" | Open Energy...
( links) Gateway:U.S. OpenLabsComputer Modeling Software ( links) Energy System and Scenario Analysis Toolkit ( links) Technology Cost and Performance...
Using Modelica for Physical Modeling of Air-Conditioning Systems
and ready-to-use models for all relevant components of automotive air conditioning systems like condenser, evaporator, compressor, expansion devices and accumulatorreceiver...
Numerical Simulation of Dispersal of Inert Seeding Material in Israel Using a Three-Dimensional Mesoscale Model
A mesoscale model RAMS (the Regional Atmospheric Modeling System) was used to investigate the effectiveness of the broadcast static seeding method for dispersing particles into clouds, as it is used in Israel. The model was run using three nested ...
Zev Levin; Shimon O. Krichak; Tamir Reisin
Petroleum Market Model of the National Energy Modeling System
The purpose of this report is to define the objectives of the Petroleum Market Model (PMM), describe its basic approach, and provide detail on how it works. This report is intended as a reference document for model analysts, users, and the public. The PMM models petroleum refining activities, the marketing of petroleum products to consumption regions. The production of natural gas liquids in gas processing plants, and domestic methanol production. The PMM projects petroleum product prices and sources of supply for meeting petroleum product demand. The sources of supply include crude oil, both domestic and imported; other inputs including alcohols and ethers; natural gas plant liquids production; petroleum product imports; and refinery processing gain. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption. Product prices are estimated at the Census division level and much of the refining activity information is at the Petroleum Administration for Defense (PAD) District level. This report is organized as follows: Chapter 2, Model Purpose; Chapter 3, Model Overview and Rationale; Chapter 4, Model Structure; Appendix A, Inventory of Input Data, Parameter Estimates, and Model Outputs; Appendix B, Detailed Mathematical Description of the Model; Appendix C, Bibliography; Appendix D, Model Abstract; Appendix E, Data Quality; Appendix F, Estimation methodologies; Appendix G, Matrix Generator documentation; Appendix H, Historical Data Processing; and Appendix I, Biofuels Supply Submodule.
Coal Market Module of the National Energy Modeling System Model ...
Appendix 3.E. Optimization and Modeling Library (OML) ... Energy Outlook 2002 Projections of Coal Production, Distribution, and Prices for the National
Agent-based modeling and systems dynamics model reproduction.
Reproducibility is a pillar of the scientific endeavour. We view computer simulations as laboratories for electronic experimentation and therefore as tools for science. Recent studies have addressed model reproduction and found it to be surprisingly difficult to replicate published findings. There have been enough failed simulation replications to raise the question, 'can computer models be fully replicated?' This paper answers in the affirmative by reporting on a successful reproduction study using Mathematica, Repast and Swarm for the Beer Game supply chain model. The reproduction process was valuable because it demonstrated the original result's robustness across modelling methodologies and implementation environments.
North, M. J.; Macal, C. M. (Decision and Information Sciences)
National Energy Modeling System (NEMS) | Open Energy Information
National Energy Modeling System (NEMS) National Energy Modeling System (NEMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: National Energy Modeling System (NEMS) Agency/Company /Organization: Energy Information Administration Sector: Energy Focus Area: Economic Development Phase: Develop Goals Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Desktop Application Website: www.eia.gov/oiaf/aeo/overview/index.html OpenEI Keyword(s): EERE tool, National Energy Modeling System, NEMS Language: English References: The National Energy Modeling System: An Overview[1] Project the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and
Policy Analysis Modeling System (PAMS) Policy Analysis Modeling System (PAMS) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Policy Analysis Modeling System Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Buildings, Energy Efficiency Topics: Policies/deployment programs Resource Type: Software/modeling tools User Interface: Spreadsheet Website: clasponline.org/ResourcesTools/Tools/PolicyAnalysisModelingSystem Equivalent URI: cleanenergysolutions.org/content/policy-analysis-modeling-system-pams Regulations: "Appliance & Equipment Standards and Required Labeling,Net Metering & Interconnection" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.
External Technical Review for Evaluation of System Level Modeling and
for Evaluation of System Level Modeling for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process Full Document and Summary Versions are available for download External Technical Review for Evaluation of System Level Modeling and Simulation Tools in Support of Hanford Site Liquid Waste Process Summary - System Level Modeling and Simulation Tools for Hanford More Documents & Publications Hanford Site C Tank Farm Meeting Summary - May 2009 System Planning for Low-Activity Waste at Hanford Hanford ETR Tank Waste Treatment and Immobilization Plant - Hanford Tank Waste Treatment and Immobilization Plant Technical Review - External
Numerical Modeling Of Basin And Range Geothermal Systems | Open Energy
Numerical Modeling Of Basin And Range Geothermal Systems Numerical Modeling Of Basin And Range Geothermal Systems Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Numerical Modeling Of Basin And Range Geothermal Systems Details Activities (3) Areas (3) Regions (0) Abstract: Basic qualitative relationships for extensional geothermal systems that include structure, heat input, and permeability distribution have been established using numerical models. Extensional geothermal systems, as described in this paper, rely on deep circulation of groundwater rather than on cooling igneous bodies for heat, and rely on extensional fracture systems to provide permeable upflow paths. A series of steady-state, two-dimensional simulation models is used to evaluate the effect of permeability and structural variations on an idealized, generic
Run manager module for CORAL laboratory management
This thesis describes a new module, the Run Manager (RM), for Stanford Nanofabrication Facility's Common Object Representation for Advanced Laboratories (CORAL). CORAL is the lab manager with which MIT's Microsystems ...
Klann, Jeffrey G
determine his speed in order to run a given distance in the shortest time. ... based on the equation of motion and aerobic energy, to include a balance of ..... associated cost converges to the one associated with ? . The conclusion follows.
Model documentation: Natural gas transmission and distribution model of the National Energy Modeling System. Volume 1
The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of integrated Analysis and Forecasting of the Energy information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. The NGTDM is the model within the NEMS that represents the transmission, distribution, and pricing of natural gas. The model also includes representations of the end-use demand for natural gas, the production of domestic natural gas, and the availability of natural gas traded on the international market based on information received from other NEMS models. The NGTDM determines the flow of natural gas in an aggregate, domestic pipeline network, connecting domestic and foreign supply regions with 12 demand regions. The methodology employed allows the analysis of impacts of regional capacity constraints in the interstate natural gas pipeline network and the identification of pipeline capacity expansion requirements. There is an explicit representation of core and noncore markets for natural gas transmission and distribution services, and the key components of pipeline tariffs are represented in a pricing algorithm. Natural gas pricing and flow patterns are derived by obtaining a market equilibrium across the three main elements of the natural gas market: the supply element, the demand element, and the transmission and distribution network that links them. The NGTDM consists of four modules: the Annual Flow Module, the Capacity F-expansion Module, the Pipeline Tariff Module, and the Distributor Tariff Module. A model abstract is provided in Appendix A.
RHIC Polarized proton performance in run-8
During Run-8, the Relativistic Heavy Ion Collider (RHIC) provided collisions of spin-polarized proton beams at two interaction regions. Physics data were taken with vertical orientation of the beam polarization, which in the 'Yellow' RHIC ring was significantly lower than in previous years. We present recent developments and improvements as well as the luminosity and polarization performance achieved during Run-8, and we discuss possible causes of the not as high as previously achieved polarization performance of the 'Yellow' ring.
Montag,C.; Bai, M.; MacKay, W.W.; Roser, T.; Abreu, N.; Ahrens, L.; Barton, D.; Beebe-Wang, J.; Blaskiewicz, M.; Brennan, J.M.; Brown, K.A.; Bruno, D.; Bunce, G.; Calaga, R.; Cameron, P.; Connolly, R.; D'Ottavio, T.; Drees, A.; Fedotov, A.V.; Fischer, W.; Ganetis, G.; Gardner, C.; Glenn, J.; Hayes, T.; Huang, H.; Ingrassia, P.; Kayran, D.A.; Kewisch, J.; Lee, R.C.; Lin, F.; Litvinenko, V.N.; Luccio, A.U.; Luo, Y.; Makdisi, Y.; Malitsky, N.; Marr, G.; Marusic, A.; Michnoff, R.; Morris, J.; Oerter, B.; Pilat, F.; Pile, P.; Robert-Demolaize, G.; Russo, T.; Satogata, T.; Schultheiss, C.; Sivertz, M.; Smith, K.; Tepikian, S.; D. Trbojevic, D.; Tsoupas, N.; Tuozzolo, J.; Zaltsman, A.; Zelenski, A.; Zeno, K.; Zhang, S.Y.
On the running of the gravitational constant
We show that there is no useful and universal definition of a running gravitational constant, G(E), in the perturbative regime below the Planck scale. By consideration of the loop corrections to several physical processes, we show that the quantum corrections vary greatly, in both magnitude and sign, and do not exhibit the required properties of a running coupling constant. We comment on the potential challenges of these results for the Asymptotic Safety program.
Mohamed M. Anber; John F. Donoghue
Anber, Mohamed M
Hybrid2: The hybrid system simulation model, Version 1.0, user manual
In light of the large scale desire for energy in remote communities, especially in the developing world, the need for a detailed long term performance prediction model for hybrid power systems was seen. To meet these ends, engineers from the National Renewable Energy Laboratory (NREL) and the University of Massachusetts (UMass) have spent the last three years developing the Hybrid2 software. The Hybrid2 code provides a means to conduct long term, detailed simulations of the performance of a large array of hybrid power systems. This work acts as an introduction and users manual to the Hybrid2 software. The manual describes the Hybrid2 code, what is included with the software and instructs the user on the structure of the code. The manual also describes some of the major features of the Hybrid2 code as well as how to create projects and run hybrid system simulations. The Hybrid2 code test program is also discussed. Although every attempt has been made to make the Hybrid2 code easy to understand and use, this manual will allow many organizations to consider the long term advantages of using hybrid power systems instead of conventional petroleum based systems for remote power generation.
Baring-Gould, E.I.
EVALUATING PEM FUEL CELL SYSTEM MODELS EVALUATING PEM FUEL CELL SYSTEM MODELS Kristina Haraldsson, Keith Wipke National Renewable Energy Laboratory (NREL) 1617 Cole Boulevard, MS 1633 Golden, Colorado, 80401 ABSTRACT Many proton exchange membrane (PEM) fuel cell models have been reported in publications, and some are available commercially. This paper helps users match their modeling needs with specific fuel cell models. The paper has three parts. First, it describes the model selection criteria for choosing a fuel cell model. Second, it applies these criteria to select state- of-the-art fuel cell models available in literature and commercially. The advantages and disadvantages of commercial models are discussed. Third, the paper illustrates the process of choosing a fuel cell model with an
A View on Future Building System Modeling and Simulation
This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).
Wetter, Michael
PoS(ACAT)027 Online Monitoring for the CDF Run II Experiment
- gency situation handling were defined, e.g. remote shifter replacement with a local (Fnal) one in casePoS(ACAT)027 Online Monitoring for the CDF Run II Experiment and the Remote Operation Facilities T the CDF Run II online event monitoring system and operation, with enphasis on the remote monitoring shift
FORODT: Fortran debug routine for the PDP-11 (RT-11). [For run-time debugging
FORODT provides run-time debug features to PDP-11 Fortran programs running with the RT-11 operating system. Digital Equipment Corporation's ODT program has been extended to include Fortran breakpoints, decimal integer and floating point data input, and output options. 3 figures.
Tanner, D.N.
Vehicle Transient Air Conditioning Analysis: Model Development& System Optimization Investigations
The National Renewable Energy Laboratory (NREL) has developed a transient air conditioning (A/C) system model using SINDA/FLUINT analysis software. It captures all the relevant physics of transient A/C system performance, including two-phase flow effects in the evaporator and condenser, system mass effects, air side heat transfer on the condenser/evaporator, vehicle speed effects, temperature-dependent properties, and integration with a simplified cabin thermal model. It has demonstrated robust and powerful system design optimization capabilities. Single-variable and multiple variable design optimizations have been performed and are presented. Various system performance parameters can be optimized, including system COP, cabin cool-down time, and system heat load capacity. This work presents this new transient A/C system analysis and optimization tool and shows some high-level system design conclusions reached to date. The work focuses on R-134a A/C systems, but future efforts will modify the model to investigate the transient performance of alternative refrigerant systems such as carbon dioxide systems. NREL is integrating its transient air conditioning model into NRELs ADVISOR vehicle system analysis software, with the objective of simultaneously optimizing A/C system designs within the overall vehicle design optimization.
Hendricks, T. J.
Detailed Performance Model for Photovoltaic Systems: Preprint
This paper presents a modified current-voltage relationship for the single diode model. The single-diode model has been derived from the well-known equivalent circuit for a single photovoltaic cell. The modification presented in this paper accounts for both parallel and series connections in an array.
Tian, H.; Mancilla-David, F.; Ellis, K.; Muljadi, E.; Jenkins, P.
Modeling and Identification for HVAC Systems.
??Heating, Ventilation and Air Conditioning (HVAC) systems consist of all the equipment that control the conditions and distribution of indoor air. Indoor air must be� (more)
Scotton, Francesco
Modeling and Simulation for Mission Operations Work System Design
Work system analysis and design is complex and nondeterministic. In this paper we describe Brahms, a multiagent modeling and simulation environment for designing complex interactions in human-machine systems. Brahms was originally conceived as a business ... Keywords: Agent Languages, Business Process Modeling, Mission Operations Design, Multiagent Simulation, Work Practices
Maarten Sierhuis; William J. Clancey; Chin Seah; Jay P. Trimble; Michael H. Sims
The State of Supersymmetry after Run I of the LHC
In these lectures I survey the state of supersymmetric extensions of the Standard Model in light of data from the first run of the LHC. After assessing pre-LHC expectations based on principles of naturalness and parsimony, I review the landscape of direct and indirect search limits at the LHC, including the implications of the observed Higgs mass and couplings. Finally, I survey several broad classes of supersymmetric models that are consistent with current data and enumerate the most promising search strategies and model-building directions for the future.
Nathaniel Craig
Search for gravitational wave bursts in LIGO's third science run
We report on a search for gravitational wave bursts in data from the three LIGO interferometric detectors during their third science run. The search targets subsecond bursts in the frequency range 100-1100 Hz for which no waveform model is assumed, and has a sensitivity in terms of the root-sum-square (rss) strain amplitude of hrss ~ 10^{-20} / sqrt(Hz). No gravitational wave signals were detected in the 8 days of analyzed data.
LIGO Scientific Collaboration
Representativeness models of systems: smart grid example
Given the great emphasis being placed on energy efficiency in contemporary society, in which the smart grid plays a prominent role, this is an opportune time to explore methodologies for appropriately representing system attributes. We suggest this is ... Keywords: Smart grid, System representativeness
Norman Schneidewind
System Advisor Model: Flat Plate Photovoltaic Performance Modeling...
in the technology and system design. To be accessible by the financial community, the impact of variations in energy yield must also flow through to financial metrics, such as the...
Quantum chaotic system as a model of decohering environment
As a model of decohering environment, we show that quantum chaotic system behave equivalently as many-body system. An approximate formula for the time evolution of the reduced density matrix of a system interacting with a quantum chaotic environment is derived. This theoretical formulation is substantiated by the numerical study of decoherence of two qubits interacting with a quantum chaotic environment modeled by a chaotic kicked top. Like the many-body model of environment, the quantum chaotic system is efficient decoherer, and it can generate entanglement between the two qubits which have no direct interaction.
Jayendra N. Bandyopadhyay
Modeling of polymer electrolyte fuel cell systems
Propulsion systems based on the polymer electrolyte fuel cell (PEFC) are being developed. This paper reports an analysis undertaken to design improved PEFC systems. A reference system design with some variants were set up for a methanol-fueled PEFC propulsion system. Efficiency improves from 38.4 to 44.1% as cell current density goes from 0.75 to 0.45 A/cm{sup 2}, while fuel cell efficiency increases from 52.6 to 60.0%; to get a net power output of 80 kWe, the active fuel cell area must increase from 18.8 to 27.3 m{sup 2}. Three parametric studies were conducted on the off-design performance of the reference system.
Kumar, R.; Ahluwalia, R.; Geyer, H.K.; Krumpelt, M.
NREL: Water Power Research - Economic and Power System Modeling and
Economic and Power System Modeling and Analysis Economic and Power System Modeling and Analysis NREL's Economic Analysis and power system modeling integrates data from device deployment and programmatic research into deployment and scenario models to quantify the economic and societal benefits of developing cost-competitive marine and hydrokinetic systems. It also identifies policy mechanisms, market designs, and supply chain needs to support various deployment scenarios, provide information and training to potential members of the marine and hydrokinetic (MHK) industry and effectively collaborate with all associated stakeholders. JEDI Modeling NREL worked with industry members to develop and provide public access to an easy-to-use input-output model that estimates the jobs and economic development impacts (JEDI) of MHK projects in the United States. The JEDI
Model for Energy Supply System Alternatives and their General Environmental
Model for Energy Supply System Alternatives and their General Environmental Model for Energy Supply System Alternatives and their General Environmental Impacts (MESSAGE) (Redirected from Model for Energy Supply System Alternatives and their General Environmental Impacts) Jump to: navigation, search Tool Summary Name: Model for Energy Supply System Alternatives and their General Environmental Impacts Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways analysis Resource Type: Software/modeling tools Website: www-tc.iaea.org/tcweb/abouttc/strategy/Thematic/pdf/presentations/ener References: Overview of IAEA PESS Models [1] "MESSAGE combines technologies and fuels to construct so-called "energy chains", making it possible to map energy flows from supply (resource
Modeling of CSP, KPN and SR systems with systemC
In this chapter we show the ability to specify with SystemC under the restrictions imposed by several model of computations, namely CSP, KPN and SR. Specifying under these MoCs provides some important properties, specially deterrninism and more protection ... Keywords: CSP, KPN, SR, model of computation, system-level design, systemC
Fernando Herrera; Pablo S�nchez; Eugenio Villar
Numerical models for the evaluation of geothermal systems
We have carried out detailed simulations of various fields in the USA (Bada, New Mexico; Heber, California); Mexico (Cerro Prieto); Iceland (Krafla); and Kenya (Olkaria). These simulation studies have illustrated the usefulness of numerical models for the overall evaluation of geothermal systems. The methodology for modeling the behavior of geothermal systems, different approaches to geothermal reservoir modeling and how they can be applied in comprehensive evaluation work are discussed.
Toward a Fully Lagrangian Atmospheric Modeling System
An improved treatment of advection is essential for atmospheric transport and chemistry models. Eulerian treatments are generally plagued with instabilities, unrealistic negative constituent values, diffusion, and dispersion errors. A higher-...
Jahrul M. Alam; John C. Lin
User modelling for live help systems: initial results
This paper explores the role of user modelling in live help systems for e-commerce web sites. There are several potential benefits with user modelling in this context: 1) Human assistants can use the personal information in the user models to provide ...
Johan Aberg; Nahid Shahmehri; Dennis Maciuszek
Blend surfaces for set theoretic volume modelling systems
Most volume modelling systems are very limited in the complexity of the surfaces which they support. This is satisfactory for basic models of most mechanical components, since the functional surfaces are not usually complex. However, there are often ... Keywords: computer aided design, curved surfaces, ray tracing, volume modelling
Alan E. Middleditch; Kenneth H. Sears
Preliminary results of model predictive control of shading systems (WIP)
Shades in buildings are widely installed and are an effective technique for managing solar gains and occupant comfort. A model of a typical office space located in Ottawa, Ontario has been created and the model was developed for analysis under variable ... Keywords: energy management system, model predictive control, reactive control, shades
Brent Huchuk; William O'Brien; Cynthia A. Cruickshank
DOE Hydrogen Analysis Repository: Macro-System Model
Macro-System Model Macro-System Model Project Summary Full Title: Macro-System Model (MSM) Project ID: 66 Principal Investigator: Mark Ruth Brief Description: Federated object model framework is used to link other models to perform rapid cross-cutting analysis. Keywords: Transition; well-to-wheels (WTW); renewable; hydrogen production; emissions; cost Purpose Perform rapid cross-cutting analysis by utilizing and linking other models. This work will also improve consistency between models. Analyses that require the MSM will be used to support decisions regarding programmatic investments and focus of funding and to estimate program outputs and outcomes. Performer Principal Investigator: Mark Ruth Organization: National Renewable Energy Laboratory (NREL) Address: 1617 Cole Blvd.
Federal Reserve Bank of New York Staff Reports Repo Runs
This paper presents preliminary findings and is being distributed to economists and other interested readers solely to stimulate discussion and elicit comments. The views expressed in this paper are those of the authors and are not necessarily reflective of views at the Federal Reserve Bank of New York or the Federal Reserve System. Any errors or omissions are the responsibility of the authors. Repo Runs
Antoine Martin; David Skeie; Antoine Martin; David Skeie; Ernst-ludwig Von Thadden
Modeling Electrocatalytic Reaction Systems from First Principles
Electrocatalytic reaction systems demonstrate markedly different behavior than those carried out in the vapor phase or under ultrahigh vacuum conditions. The differences in reactivity can be attributed to the significant difference between the reaction environment o fht electrocatalytic system which includes the presence of solution, electrolyte, and intrinsic as well as extrinsic potentials, in addition to the vapor phase system. The solution environment and the applied potential can stabilize or destabilize charge transfer events, thus influencing many of the physiochemical processes that occur at the surface of a working electrode and strongly impacting the activity, as well as the selectivity of the active catalyst.
Wasileski, Sally A.; Taylor, Christopher D.; Neurock, Matthew
Hydrogen Deployment System Modeling Environment (HyDS ME) Documentation: Milestone Report FY 2006
This report introduces the Hydrogen Deployment System Modeling Environment model, assumptions, and basic operations.
Parks. K.
Modeling the Performance, Emissions, and Cost of an Entrained-Flow Gasification Combined Cycle System Using
, 1990 Table 1. Characteristics of the Coal Assumed for IGCC System Studies Proximate Analysis Wt-%, run-of-mine for the conversion of a variety of feedstocks, including coal, heavy residue oil, biomass, solid waste, and others is presented to illustrate the typical performance, emissions, and cost of a coal- based system
Frey, H. Christopher
Wilis: Architectural Modeling of Wireless Systems
The performance of a wireless system depends on the wireless channel as well as the algorithms used in the transceiver pipelines. Because physical phenomena affect transceiver pipelines in difficult to predict ways, detailed ...
Fleming, Kermin Elliott
Open systems interconnection - the presentation service model
Future end systems, so-called 'workstations', will consist of a variety of different, sometimes intergrated devices. These devices may vary from character-oriented display terminals to database-oriented storage devices. The aim of the presentation service ...
Sigram Schindler; Ute Flasche; Carsten Bormann
From model-based strategies to intelligent control systems
This paper presents the evolution of control systems and trends in the field of integrated computer, communication and cognitive sciences for control applications. There have been selected and presented the most efficient control strategies used in complex ... Keywords: intelligent control systems, model-based systems
Ioan Dumitrache
New achievements for Romanian engineering training in modelling power systems
The evolution of electric power system analysis methods followed the present technical problems and business needs of electric utilities in Romania, before EU integration. Present technical requirements and the current stage of power system analysis ... Keywords: Fourier analysis, computer applications, computer simulation, modelling, power systems, training
Stefania Popadiuc; Frangiskos Topalis; Cristiana Geambasu
The evolution of electric power system analysis methods followed the present technical problems and business needs of electric utilities in Romania, before EU integration. Present technical requirements and the current stage of power system analysis ... Keywords: computer applications, computer simulation, fourier analysis, modelling, power systems, training
A timeband framework for modelling real-time systems
Complex real-time systems must integrate physical processes with digital control, human operation and organisational structures. New scientific foundations are required for specifying, designing and implementing these systems. One key challenge is to ... Keywords: Cyber physical, Modelling, Real-time systems
Alan Burns; Ian J. Hayes
Modelling an urban water system on the edge of chaos
Viewing an urban water system as a complex adaptive system provides new opportunities for analysis and avoids some critical simplifications. Taking this perspective, it is possible to explore the inter-related effects of changes to the system. This is ... Keywords: Agent-based modelling, Integrated assessment, Socio-technical analysis, Water services
Magnus Moglia; Pascal Perez; Stewart Burn
Detailed models for hydrogen storage systems provide essential design information about flow and temperature distributions, as well as, the utilization of a hydrogen storage media. However, before constructing a detailed model it is necessary to know the geometry and length scales of the system, along with its heat transfer requirements, which depend on the limiting reaction kinetics. More fundamentally, before committing significant time and resources to the development of a detailed model, it is necessary to know whether a conceptual storage system design is viable. For this reason, a hierarchical system of models progressing from scoping models to detailed analyses was developed. This paper, which discusses the scoping models, is the first in a two part series that presents a collection of hierarchical models for the design and evaluation of hydrogen storage systems.
Hardy, B; Donald L. Anton, D
Adaptive Optimization and Systematic Probing of Infrastructure System Maintenance Policies under Model Uncertainty
Maintenance; Optimization; Probabilistic models; Adaptive systems; Uncertainty principles . Introduction Infrastructure management systems
Madanat, S M; Park, Sejung; Kuhn, K D
Model documentation report: Industrial sector demand module of the national energy modeling system
This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirements of the Energy Information Administration (EIA) to provide adequate documentation in support of its model. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.
Mathematical and computer modelling reports: Modeling and forecasting energy markets with the intermediate future forecasting system
This paper describes the Intermediate Future Forecasting System (IFFS), which is the model used to forecast integrated energy markets by the U.S. Energy Information Administration. The model contains representations of supply and demand for all of the ...
Frederic H. Murphy; John J. Conti; Susan H. Shaw; Reginald Sanders
Modeling Air�Land�Sea Interactions Using the Integrated Regional Model System in Monterey Bay, California
The air�land�sea interaction in the vicinity of Monterey Bay, California, is simulated and investigated using a new Integrated Regional Model System (I-RMS). This new model realistically resolves coastal processes and submesoscale features that ...
Yu-Heng Tseng; Shou-Hung Chien; Jiming Jin; Norman L. Miller
Wetland model in an earth systems modeling framework for regional environmental policy analysis
The objective of this research is to investigate incorporating a wetland component into a land energy and water fluxes model, the Community Land Model (CLM). CLM is the land fluxes component of the Integrated Global Systems ...
Awadalla, Sirein Salah
Historical and idealized climate model experiments: an intercomparison of Earth system models of intermediate complexity
Both historical and idealized climate model experiments are performed with a variety of Earth system models of intermediate complexity (EMICs) as part of a community contribution to the Intergovernmental Panel on Climate ...
Monier, Erwan
Strategies for integrated modeling: The community surface dynamics modeling system example
The Community Surface Dynamics Modeling System (CSDMS) is a community of earth scientists promoting the modeling of earth surface processes by developing and disseminating integrated software modules that predict the movement of fluids, and the flux ... Keywords: Community modeling, Earth surface dynamics, Governance, Model integration
Irina Overeem; Maureen M. Berlin; James P. M. Syvitski
The Community Earth System Model (CESM) is a flexible and extensible community tool used to investigate a diverse set of earth system interactions across multiple time and space scales. This global coupled model is a natural evolution from its predecessor, the Community Climate System Model, following the incorporation of new earth system capabilities. These include the ability to simulate biogeochemical cycles, atmospheric chemistry, ice sheets, and a high-top atmosphere. These and other new model capabilities are enabling investigations into a wide range of pressing scientific questions, providing new predictive capabilities and increasing our collective knowledge about the behavior and interactions of the earth system. Simulations with numerous configurations of the CESM have been provided to the Coupled Model Intercomparison Project Phase 5 (CMIP5) and are being analyzed by the broader community of scientists. Additionally, the model source code and associated documentation are freely available to the scientific community to use for earth system studies, making it a true community tool. Here we describe this earth modeling system, its various possible configurations, and illustrate its capabilities with a few science highlights.
Hurrell, Jim; Holland, Marika M.; Gent, Peter R.; Ghan, Steven J.; Kay, Jennifer; Kushner, P.; Lamarque, J.-F.; Large, William G.; Lawrence, David M.; Lindsay, Keith; Lipscomb, William; Long , Matthew; Mahowald, N.; Marsh, D.; Neale, Richard; Rasch, Philip J.; Vavrus, Steven J.; Vertenstein, Mariana; Bader, David C.; Collins, William D.; Hack, James; Kiehl, J. T.; Marshall, Shawn
Automotive System Cost Modeling Tool (ASCM)
technology vehicles (i.e., diesel, hybrid, and fuel cell) developed for improved fuel economy remains either be done through Argonne National laboratory's hybrid vehicle cost model algorithm (adapted the Tool Can Help Answer · What is the life cycle cost of today's midsize hybrid vehicle? · How does
Incorporating Urban Systems in Global Climate Models
Resolutions IPCC AR4 The Future? Preliminary Data #12;CLM Urban Canyon Model Building Building Solar Radiation properties Building Properties Thermal Conductivity (W/mK) Heat Capacity (MJ/m^3 K) Albedo Density (kg/m^3T ,1shdwlT min , maxi buildT T T
Peterson, Blake R.
Model for Energy Supply System Alternatives and their General Environmental Model for Energy Supply System Alternatives and their General Environmental Impacts (MESSAGE) Jump to: navigation, search Tool Summary Name: Model for Energy Supply System Alternatives and their General Environmental Impacts Agency/Company /Organization: International Atomic Energy Agency Sector: Energy Focus Area: Renewable Energy, Energy Efficiency Topics: Pathways analysis Resource Type: Software/modeling tools Website: www-tc.iaea.org/tcweb/abouttc/strategy/Thematic/pdf/presentations/ener References: Overview of IAEA PESS Models [1] "MESSAGE combines technologies and fuels to construct so-called "energy chains", making it possible to map energy flows from supply (resource extraction) to demand (energy services). The model can help design long
Unable to allocate hugepages in running jobs
Unable to allocate hugepages in running jobs Unable to allocate hugepages in running jobs Unable to allocate hugepages in running jobs January 14, 2013 by Helen He (0 Comments) Symptom User job sometimes get an error message similar to the following, usually at the start of a batch job, causing the job to abort: MPICH2 ERROR [Rank 7436] [job id 14638087] [Sat Jan 12 04:56:54 2013] [c11-2c1s3n1] [nid04487] - MPIU_nem_gni_get_hugepages(): Unable to mmap 4194304 bytes for file /var/lib/hugetlbfs/global/pagesize-2097152/hugepagefile.MPICH.0.5841.kvs_14638087, err Cannot allocate memory This is caused by available huge page memory being not sufficient on one or more of the allocated compute nodes. The above error happens more often with jobs using the "-ss" option for the aprun command. It is confirmed
SunRun Inc | Open Energy Information
SunRun Inc SunRun Inc Jump to: navigation, search Name SunRun Inc Address 717 Market Street Place San Francisco, California Zip 94103 Sector Solar Product Solar installer Website http://www.sunrunhome.com/ Coordinates 37.7871306°, -122.4041075° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":37.7871306,"lon":-122.4041075,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}
Tropical Cyclone-like Vortices in a Limited Area Model: Comparison with Observed Climatology
A climate simulation of a limited area model implemented over the Australian region is analyzed for the presence of low pressure systems that have some of the physical characteristics of tropical cyclones. The model is run at a horizontal ...
Kevin Walsh; Ian G. Watterson
METRo: A New Model for Road-Condition Forecasting in Canada
A numerical model to forecast road conditions, Model of the Environment and Temperature of Roads (METRo), has been developed to run at Canadian weather centers. METRo uses roadside observations from road weather information systems stations as ...
Louis-Philippe Crevier; Yves Delage
Joint Medium-Range Ensembles from The Met. Office and ECMWF Systems
One possible method of incorporating model sensitivities into ensemble forecasting systems is to combine ensembles run from two or more models. Furthermore, the use of more than one analysis, to which perturbations are added, may provide further ...
R. E. Evans; M. S. J. Harrison; R. J. Graham; K. R. Mylne
Short-run interfuel substitution in West European power generation : a restriced cost function approach
This paper analyzes short-run interfuel substitution between fossil fuels in West European power generation. The problem is studied within a restricted translog cost model, which is estimated by pooling time-series data ...
S�derholm, Patrik
Modeling for Process Control: High-Dimensional Systems
Most of other technologically important systems (among them, powders and other granular systems) are intrinsically nonlinear. This project is focused on building the dynamical models for granular systems as a prototype for nonlinear high-dimensional systems exhibiting complex non-equilibrium phenomena. Granular materials present a unique opportunity to study these issues in a technologically important and yet fundamentally interesting setting. Granular systems exhibit a rich variety of regimes from gas-like to solid-like depending on the external excitation. Based the combination of the rigorous asymptotic analysis, available experimental data and nonlinear signal processing tools, we developed a multi-scale approach to the modeling of granular systems from detailed description of grain-grain interaction on a micro-scale to continuous modeling of large-scale granular flows with important geophysical applications.
Lev S. Tsimring
Using Modelica for Physical Modeling of Air-Conditioning Systems Using Modelica for Physical Modeling of Air-Conditioning Systems Speaker(s): Jonas Eborn Date: August 23, 2007 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Michael Wetter The Air Conditioning library is a commercial Modelica library for the steady-state and transient simulation of air conditioning systems using both compact micro-channel heat exchangers as well as fin-and-tube type heat exchangers. Currently it is mostly used by automotive OEMs and suppliers that need high-accuracy system level models to evaluate energy efficiency of systems developed under the pressure of reduced design cycle times. The library also has applications in other areas, including aircraft cooling systems and residential air-conditioning. The Air Conditioning library contains published correlations for heat and mass transfer and
Reasoning about Interactive Systems with Stochastic Models
Several techniques for specification exist to capture certain aspects of user behaviour, with the goal of reasoning about the usability of the system and other human-factors related issues. One such approach is to encode a set of assumptions about user ...
Gavin J. Doherty; Mieke Massink; Giorgio Faconti
The National Energy Modeling System: An Overview 2000 - appendix
The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). The National Energy Modeling System is documented in a series of model documentation reports, available on the EIA Web site at http://www.eia.doe. gov/bookshelf/docs.html or by contacting the National Energy Information Center (202/586-8800). Energy Information Administration, Integrating Module of the National Energy Modeling System: Model Documentation DOE/EIA-M057(2000) (Washington, DC, December 1999). Energy Information Administration, Model Documentation Report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System, DOE/EIA-M065(2000) (Washington, DC, December 1999). Energy Information Administration, Documentation of the DRI Model of the U.S. Economy, DOE/EIA- M061 (Washington, DC, December 1993). Energy Information Administration, NEMS International Energy Module: Model Documentation Report, DOE/EIA-M071(99) (Washington, DC, February 1999).
Twenty-One Years of Verification from the HIRLAM NWP System
The High-Resolution Limited-Area Model (HIRLAM) international research program maintains a synoptic-scale NWP system. At the Finnish Meteorological Institute, the HIRLAM system has been run operationally since 1990. The HIRLAM forecasts from 1990 ...
Kalle Eerola
Modeling for System Integration Studies (Presentation)
This presentation describes some the data requirements needed for grid integration modeling and provides real-world examples of such data and its format. Renewable energy integration studies evaluate the operational impacts of variable generation. Transmission planning studies investigate where new transmission is needed to transfer energy from generation sources to load centers. Both use time-synchronized wind and solar energy production and load as inputs. Both examine high renewable energy penetration scenarios in the future.
Orwig, K. D.
The Long-Run Evolution of Energy Prices
Abstract: I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price evolution, and how it should be modeled? Can models of reversion to stochastically fluctuating trend lines help us forecast prices over horizons of 20 years or more? And what do the answers to these questions tell us about investment decisions that are dependent on prices and their stochastic evolution?
Robert S. Pindyck
Nuclear Hybrid Energy System Modeling: RELAP5 Dynamic Coupling Capabilities
The nuclear hybrid energy systems (NHES) research team is currently developing a dynamic simulation of an integrated hybrid energy system. A detailed simulation of proposed NHES architectures will allow initial computational demonstration of a tightly coupled NHES to identify key reactor subsystem requirements, identify candidate reactor technologies for a hybrid system, and identify key challenges to operation of the coupled system. This work will provide a baseline for later coupling of design-specific reactor models through industry collaboration. The modeling capability addressed in this report focuses on the reactor subsystem simulation.
Piyush Sabharwall; Nolan Anderson; Haihua Zhao; Shannon Bragg-Sitton; George Mesina
DOE Solar Decathlon: News Blog � Blog Archive � Run, Dishwasher...
Run, Dishwasher, Run Saturday, September 24, 2011 By Alexis Powers The typical college student does about two loads of laundry a week. However, the student decathletes must go...
Office of Fossil Energy Continues Long-Running Minority Educational...
Fossil Energy Continues Long-Running Minority Educational Research Program Office of Fossil Energy Continues Long-Running Minority Educational Research Program April 19, 2012 -...
EIA - The National Energy Modeling System: An Overview 2003-Introduction
Introduction Introduction The National Energy Modeling System: An Overview 2003 Introduction The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2025. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview 2003 presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, Bibliography).
Industrial Demand Module 1998, National Energy Modeling System (NEMS)
This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description ofthe NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in supportof its models (Public Law 94-385, section 57.b2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.
Approach for modelling of large maritime infrastructure systems
Simulation studies for large infrastructure systems often consists of a large number of experiments. Performing all experiments, and the required adjustments to simulation models, is time consuming. In addition it is difficult to keep track of all performed ...
Edwin C. Valentin; Sicco Steijaert; Rienk A. Bijlsma; Piero Silva
Review and evaluation of national airspace system models
Abstract from Technical Report Documentation Page: This report is intended to serve as a guide to the availability and capability of state-of-the-art analytical and simulation models of the National Airspace System (NAS). ...
Odoni, Amedeo R.
Enhanced Classifications of Engineered Paved Surfaces for Urban Systems Modeling
There is a greater need than ever for the ability to accurately model urban system impacts resulting around the planet. Rapid urbanization is transforming landscapes from vegetation to an engineered infrastructure and thus altering land cover and ...
Jay Golden; W. C. Chuang; W. L. Stefanov
South Atlantic Multidecadal Variability in the Climate System Model
Strong multidecadal variability is detected in a 300-yr integration of the NCAR Climate System Model in the South Atlantic region, through the application of two signal recognition techniques: the multitaper method and singular spectrum analysis. ...
Ilana Wainer; Silvia A. Venegas
Modeling of Porous Electrodes in Molten-Salt Systems
of Porous Electrodes in Molten-Salt Systems^ John Newmanon High-Temperature Molten Salt B a t - teries, Argonneby the modeling of molten-salt cells, including some
Newman, John
Second Workshop on Coupling Technologies for Earth System Models
The Second Workshop on Coupling Technologies for Earth System Models (CW2013) was recently held at the National Center for Atmospheric Research (NCAR) in Boulder, Colorado. The goals of the workshop were to update participants on recent developments in ...
Rocky Dunlap; Mariana Vertenstein; Sophie Valcke; Tony Craig
Modeling of a Signal Processing System for Aircraft Air Data...
Modeling of a Signal Processing System for Aircraft Air Data Instrumentation Speaker(s): Thomas John Rohloff Date: September 21, 1998 - 12:00pm Location: 90-3148 Seminar HostPoint...
Modeling Supercritical Systems With Tough2- The Eoslsc Equation...
| Sign Up Search Page Edit with form History Facebook icon Twitter icon Modeling Supercritical Systems With Tough2- The Eoslsc Equation Of State Module And A Basin And Range...
Rock-physics Models for Gas-hydrate Systems Associated
at Austin, Austin, Texas, U.S.A. ABSTRACT R ock-physics models are presented describing gas-hydrate systems. Knapp, and R. Boswell, eds., Natural gas hydrates--Energy resource potential and associated geologic
Texas at Austin, University of
A Model of Adaptation in Collaborative Multi-Agent Systems
Adaptation is an essential requirement for autonomous agent systems functioning in uncertain dynamic environments. Adaptation allows agents to change their behavior in order to improve the overall sys tem performance. We describe a general mechanism ... Keywords: adaptation, mathematical models, robotics
Kristina Lerman
Hybrid Run-time Power Management Technique for Realtime
This paper presents a new run-time power management technique for real-time embedded systems which consist of a voltage scalable processor and power controllable peripheral devices. We have observed that there exist significant trade-offs in terms of energy consumption between the Dynamic Power Management (DPM) scheme and the Dynamic Voltage Scaling (DVS) scheme over a wide range of system operating conditions. The proposed technique fully exploits workload-variation slack time by partitioning the task into several timeslots and shut down the unneeded peripheral device on timeslot-by-timeslot basis.
Minyoung Kim; Embedded System With
CMS Data Processing Workflows during an Extended Cosmic Ray Run
The CMS Collaboration conducted a month-long data taking exercise, the Cosmic Run At Four Tesla, during October-November 2008, with the goal of commissioning the experiment for extended operation. With all installed detector systems participating, CMS recorded 270 million cosmic ray events with the solenoid at a magnetic field strength of 3.8 T. This paper describes the data flow from the detector through the various online and offline computing systems, as well as the workflows used for recording the data, for aligning and calibrating the detector, and for analysis of the data.
The National Energy Modeling System: An overview 1998
The National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of US energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors world energy markets, resource availability and costs, behavior and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. This report presents an overview of the structure and methodology of NEMS and each of its components. The first chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. 21 figs.
Integrated Global System Modeling Framework | Open Energy Information
Integrated Global System Modeling Framework Integrated Global System Modeling Framework Jump to: navigation, search LEDSGP green logo.png FIND MORE DIA TOOLS This tool is part of the Development Impacts Assessment (DIA) Toolkit from the LEDS Global Partnership. Tool Summary LAUNCH TOOL Name: Integrated Global System Modeling Framework Agency/Company /Organization: MIT Joint Program on the Science and Policy of Global Change Sector: Climate, Energy Focus Area: Renewable Energy Phase: Determine Baseline, Evaluate Options Topics: - Macroeconomic Resource Type: Software/modeling tools User Interface: Desktop Application Complexity/Ease of Use: Not Available Website: globalchange.mit.edu/research/IGSM Cost: Free Related Tools Transport Co-benefits Calculator General Equilibrium Modeling Package (GEMPACK)
How to Run DomainParser
Run DomainParser Run DomainParser The structure for partition needs to be prepared in the PDB format. In most cases, running DomainParser using defaults should give satisfactory partitions. However, several options offered in DomainParser can provide a partition that a user desires or correct some overcut/undercut partitions. Here, we use a PDB file 1atna.pdb as an example to show how to use the DomainParser program. Run DomainParser using defaults: domainparser 1atna.pdb The output shows the partition for each domain in terms of ranges of residue numbers: 4 domains have been found for 1atna: Domain 1 : 34-96. Domain 2 : 181-272. Domain 3 : 148-180; 273-336. Domain 4 : 0-33; 97-147; 337-372. The program also generates a new file 1atna_dom.pdb, with the "temperature factor" column (column 61-66 of an "ATOM" entry) showing domain numbers. A
We present the B physics results from the CDF and D0 experiments at the Tevatron Run II at Fermilab and their future prospect. This includes various B mass and lifetime measurements, B mixing, the confirmation of the discovery of the X particle, rare decays, CP violation, and spectroscopy.
One of the intensity limiting factor of RHIC polarized proton beam is the electron cloud induced pressure rise. A beam scrubbing study shows that with a reasonable period of time of running high intensity 112-bunch proton beam, the pressure rise can be reduced, allowing higher beam intensity.
PYRO, a system for modeling fuel reprocessing
Compact, on-site fuel reprocessing and waste management for the Integral Fast Reactor are based on the pyrochemical reprocessing of metal fuel. In that process, uranium and plutonium in spent fuel are separated from fission products in an electrorefiner using liquid cadmium and molten salt solvents. Quantitative estimates of the distribution of the chemical elements among the metal and salt phases are essential for development of both individual pyrochemical process steps and the complete process. This paper describes the PYRO system of programs used to generate reliable mass flows and compositions.
Ackerman, J.P.
Nuclear Systems Modeling and Design Analysis - Nuclear Engineering Division
Nuclear Systems Nuclear Systems Modeling and Design Analysis CAPABILITIES Overview Nuclear Systems Modeling and Design Analysis Nuclear Systems Technologies Risk and Safety Assessments Nonproliferation and National Security Materials Testing Engineering Computation & Design Engineering Experimentation Work with Argonne Contact us For Employees Site Map Help Join us on Facebook Follow us on Twitter NE on Flickr Celebrating the 70th Anniversary of Chicago Pile 1 (CP-1) Argonne OutLoud on Nuclear Energy Argonne Energy Showcase 2012 Capabilities Nuclear Systems Modeling and Design Analysis Bookmark and Share Reactor Physics and Fuel Cycle Analysis Reactor Physics and Fuel Cycle Analysis We have played a major role in the design and analysis of most existing and past reactor types and of many
E-AMOM: An Energy-Aware Modeling and Optimization Methodology for Scientific Applications on Multicore Systems
Power consumption is an important constraint in achieving efficient execution on High Performance Computing Multicore Systems. As the number of cores available on a chip continues to increase, the importance of power consumption will continue to grow. In order to achieve improved performance on multicore systems scientific applications must make use of efficient methods for reducing power consumption and must further be refined to achieve reduced execution time. In this dissertation, we introduce a performance modeling framework, E-AMOM, to enable improved execution of scientific applications on parallel multicore systems with regards to a limited power budget. We develop models for each application based upon performance hardware counters. Our models utilize different performance counters for each application and for each performance component (runtime, system power consumption, CPU power consumption, and memory power consumption) that are selected via our performance-tuned principal component analysis method. Models developed through E-AMOM provide insight into the performance characteristics of each application that affect performance for each component on a parallel multicore system. Our models are more than 92% accurate across both Hybrid (MPI/OpenMP) and MPI implementations for six scientific applications. E-AMOM includes an optimization component that utilizes our models to employ run-time Dynamic Voltage and Frequency Scaling (DVFS) and Dynamic Concurrency Throttling to reduce power consumption of the scientific applications. Further, we optimize our applications based upon insights provided by the performance models to reduce runtime of the applications. Our methods and techniques are able to save up to 18% in energy consumption for Hybrid (MPI/OpenMP) and MPI scientific applications and reduce the runtime of the applications up to 11% on parallel multicore systems.
Lively, Charles
Design of an Enterprise Dynamic Performance Simulation and Analysis System
Many problems in enterprise running faced by managers can be resolved by simulation of the corresponding system dynamics model. It is often desirable to forecasting enterprise running in the next period. And managers hope to find the reason quickly if ... Keywords: dynamic performance, simulation, sensitivity, diagnose, performance optimization
Zheng Li; Yueting Chai; Yi Liu
D-Factor: A Quantitative Model of Application Slow-Down in Multi-Resource Shared Systems
Scheduling multiple jobs onto a platform enhances system utilization by sharing resources. The benefits from higher resource utilization include reduced cost to construct, operate, and maintain a system, which often include energy consumption. Maximizing these benefits comes at a price - resource contention among jobs increases job completion time. In this paper, we analyze slow-downs of jobs due to contention for multiple resources in a system; referred to as dilation factor. We observe that multiple-resource contention creates non-linear dilation factors of jobs. From this observation, we establish a general quantitative model for dilation factors of jobs in multi-resource systems. A job is characterized by a vector-valued loading statistics and dilation factors of a job set are given by a quadratic function of their loading vectors. We demonstrate how to systematically characterize a job, maintain the data structure to calculate the dilation factor (loading matrix), and calculate the dilation factor of each job. We validate the accuracy of the model with multiple processes running on a native Linux server, virtualized servers, and with multiple MapReduce workloads co-scheduled in a cluster. Evaluation with measured data shows that the D-factor model has an error margin of less than 16%. We also show that the model can be integrated with an existing on-line scheduler to minimize the makespan of workloads.
Lim, Seung-Hwan [ORNL; Huh, Jae-Seok [ORNL; Kim, Youngjae [ORNL; Shipman, Galen M [ORNL; Das, Chita [Pennsylvania State University, University Park, PA
Integrating Module of the National Energy Modeling System
Provides an overview of the complete National Energy Modeling System (NEMS) model, and includes brief descriptions of the modules with which the Integrating Module interacts. The emphasis and focus, however, is on the structure and function of the Integrating Module of NEMS.
Dan Skelly
Integration of agricultural and energy system models for biofuel assessment
This paper presents a coupled modeling framework to capture the dynamic linkages between agricultural and energy markets that have been enhanced through the expansion of biofuel production, as well as the environmental impacts resulting from this expansion. ... Keywords: Agricultural markets, Biofuels, Energy systems, Environment, Modeling
A. Elobeid, S. Tokgoz, R. Dodder, T. Johnson, O. Kaplan, L. Kurkalova, S. Secchi
A model of organizational employees' e-learning systems acceptance
This study examines the factors that influence employees' adoption and use of e-learning systems and tests the applicability of the technology acceptance model (TAM) in the organizational context. We examined the relationship of employees' perceptions ... Keywords: Computer self-efficacy, Organizational support, Subjective norm, Task equivocality, Technology acceptance model
Yi-Hsuan Lee; Yi-Chuan Hsieh; Chun-Yuan Ma
Modelling light curves of binary systems: accounting for extended winds
We suggest a simple synthesis model of an eclipsing binary system which includes one component with strong stellar wind. Numerical simulations show that the shape of the light curve (and in particularly the widths of the minima) strongly depends on wind parameters. Wind effects are crucial in modelling light curves of binaries including e.g., WR stars.
Antokhina, E A; Cherepashchuk, A M
Modeling and simulation to assist context aware system design
In this paper we present a modelling and visualization design approach for context-aware systems, specifically focusing on applications that support location tracking and that exhibit their behaviour as actuations in the deployment environment. The design ... Keywords: Context awareness, design tool, modelling, prototyping, simulation, test-bed, ubiquitous computing
Eleanor O'Neill; Owen Conlan; David Lewis
A root cause localization model for large scale systems
Root cause localization, the process of identifying the source of problems in a system using purely external observations, is a significant challenge in many large-scale systems. In this paper, we propose an abstract model that captures the common issues ...
Emre Kiciman; Lakshminarayanan Subramanian
Modeling a Leadership-scale Storage System , Christopher Carothers1
an end-to-end storage system model of the Argonne Leadership Computing Facility's (ALCF) comput- ing collected from the ALCF's storage system for a variety of synthetic I/O workloads and scales. we present in the ALCF. As an early study of the CODES project, our simulators can quickly and accurately simulate
Perception modeling for human-like artificial sensor systems
In this article we present an approach to the design of human-like artificial systems. It uses a perception model to describe how sensory information is processed for a particular task and to correlate human and artificial perception. Since human-like ... Keywords: Active perception, Artificial hand, Artificial perceptual systems, Dexterous manipulation, Electronic tongue, Human-based sensors, Passive perception
Linn Robertsson; Boyko Iliev; Rainer Palm; Peter Wide
Statistical model checking qos properties of systems with SBIP
BIP is a component-based framework supporting rigorous design of embedded systems. This paper presents SBIP, an extension of BIP that relies on a new stochastic semantics that enables verification of large-size systems by using Statistical Model Checking. ...
Saddek Bensalem; Marius Bozga; Benoit Delahaye; Cyrille Jegourel; Axel Legay; Ayoub Nouri
A CAD model based tracking system for visually guided microassembly
We present a visual feedback method for closed loop control of automated microassembly. A CAD model based multi-camera visual tracking system that is well suited for flexible automation and assembly of complex 3D geometries was developed. The system ... Keywords: CAD, Microassembly, Micromanipulation, Visual servoing, Visual tracking
Kemal Berk Yesin; Bradley J. Nelson
Modeling of battery energy storage in the National Energy Modeling System
The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy`s Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated.
Swaminathan, S.; Flynn, W.T.; Sen, R.K. [Sentech, Inc., Bethesda, MD (United States)
Model documentation Renewable Fuels Module of the National Energy Modeling System
This report documents the objectives, analaytical approach and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1996 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs, and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described.
The National Energy Modeling System: An Overview 2000 - Introduction
National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). National Energy Modeling System (NEMS) is a computer-based, energy-economy modeling system of U.S. energy markets for the midterm period through 2020. NEMS projects the production, imports, conversion, consumption, and prices of energy, subject to assumptions on macroeconomic and financial factors, world energy markets, resource availability and costs, behavioral and technological choice criteria, cost and performance characteristics of energy technologies, and demographics. NEMS was designed and implemented by the Energy Information Administration (EIA) of the U.S. Department of Energy (DOE). The National Energy Modeling System: An Overview presents an overview of the structure and methodology of NEMS and each of its components. This chapter provides a description of the design and objectives of the system, followed by a chapter on the overall modeling structure and solution algorithm. The remainder of the report summarizes the methodology and scope of the component modules of NEMS. The model descriptions are intended for readers familiar with terminology from economics, operations research, and energy modeling. More detailed model documentation reports for all the NEMS modules are also available from EIA (Appendix, Bibliography).
Modeling of Battery Energy Storage in the National Energy Modeling System
The National Energy Modeling System (NEMS) developed by the U.S. Department of Energy's Energy Information Administration is a well-recognized model that is used to project the potential impact of new electric generation technologies. The NEMS model does not presently have the capability to model energy storage on the national grid. The scope of this study was to assess the feasibility of, and make recommendations for, the modeling of battery energy storage systems in the Electricity Market Module of the NEMS. Incorporating storage within the NEMS will allow the national benefits of storage technologies to be evaluated. MODELING OF BATTERY ENERGY STORAGE IN THE CONTENTS NATIONAL ENERGY MODELING SYSTEM iv CONTENTS Acknowledgments Sandia National Laboratories (SNL) would like to acknowledge and thank Dr. Christine E. Platt of the U.S. Department of Energy's Office of Utility Technologies for the support and funding of this work. Thanks are also due to Paul C. Butler and Abbas A. Akhil...
Shiva Swaminathan; William T. Flynn; Rajat K. Sen
Fuel Cell Systems Sensors Air Management Benchmarking Modeling
Systems Systems F u e l P r o c e s s o r Sensors Air Management Benchmarking Modeling Patrick Davis Patrick Davis Targets and Status 50 kWe (net) Integrated Fuel Cell Power System 5000 2000 1000 Hours Durability 45 125 275 $/kW Cost (including H2 storage) 650 500 400 W/L Power density (w/o H2 stor) Operating on direct hydrogen 5000 2000 1000 Hours Durability 45 125 325 $/kW Cost 325 250 140 W/L Power density Operating on Tier 2 gasoline containing 30 ppm sulfur, average 2010 2005 2003 status Units Characteristics Projects Fuel Cell Power Systems Analysis ANL NREL TIAX Directed Technologies, Inc. TIAX TIAX * Fuel Cell Systems Analysis * Fuel Cell Vehicle Systems Analysis * Cost Analyses of Fuel Cell Stacks/ Systems * DFMA Cost Estimates of Fuel Cell/ Reformer Systems at Low, Medium, & High Production Rates * Assessment of Fuel Cell Auxiliary
Creating suites of models with system entity structure: global warming example
We describe how to develop a suite of models in the MS4 Modeling Environment. The approach employs the operation of merging of System Entity Structures supported by the environment. After construction, the suite of models can be hosted on Model Store, ... Keywords: component-based modeling, suite of models, system entity structure, systems of systems
Bernard P. Zeigler, Chungman Seo, Robert Coop, Doohwan Kim
Energy consumption and CO2emissions of Beijing heating system: based on a system dynamics model
Beijing is a typical North China city, and it uses about 15-18% of its total energy consumption for heating. The building construction industry is also a key source of CO2 emissions. This article, based on a system dynamics model, aims to simulate and ... Keywords: CO2 emissions, energy consumption, heating system, system dynamics
Hefeng Tong; Weishuang Qu
An Expert System Approach for Prediction of Maritime Visibility Obscuration
An Expert system for Shipboard Obscuration Prediction (AESOP), an artificial intelligence approach to forecasting maritime visibility obscurations, has been designed, developed, and tested. The problem-solving model for AESOP, running within an ...
James E. Peak; Paul M. Tag
Evaluation of a Short-Range Multimodel Ensemble System
Forecasts from the National Centers for Environmental Prediction�s experimental short-range ensemble system are examined and compared with a single run from a higher-resolution model using similar computational resources. The ensemble consists of ...
Matthew S. Wandishin; Steven L. Mullen; David J. Stensrud; Harold E. Brooks
Water Rights Analysis Package (WRAP) Modeling System Reference Manual
The Texas Water Resources Institute (TWRI), and many other agencies and organizations, have worked with Ralph Wurbs over the years to develop WRAP (the Water Rights Analysis Package). The WRAP model simulates management of the water resources of a river basin, or multiple-basin region, under a priority-based water allocation system. The model facilitates assessment of hydrologic and institutional water availability/reliability for existing and proposed requirements for water use and management. Basin-wide impacts of water resources development projects and management strategies may be evaluated. The software package is generalized for application to any river/reservoir/use system, with input files being developed for the particular river basin of concern. The model is documented by reference and users manuals that may be downloaded from this site along with the software. WRAP is incorporated in the Texas Commission on Environmental Quality (TCEQ) Water Availability Modeling (WAM) System.
Wurbs, R.
Chemical Geothermometers And Mixing Models For Geothermal Systems | Open
Geothermometers And Mixing Models For Geothermal Systems Geothermometers And Mixing Models For Geothermal Systems Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Chemical Geothermometers And Mixing Models For Geothermal Systems Details Activities (1) Areas (1) Regions (0) Abstract: Qualitative chemical geothermometers utilize anomalous concentrations of various "indicator" elements in groundwaters, streams, soils, and soil gases to outline favorable places to explore for geothermal energy. Some of the qualitative methods, such as the delineation of mercury and helium anomalies in soil gases, do not require the presence of hot springs or fumaroles. However, these techniques may also outline fossil thermal areas that are now cold. Quantitative chemical geothermometers and mixing models can provide information about present probable minimum
EIA - The National Energy Modeling System: An Overview 2003 - Preface
Preface Preface The National Energy Modeling System: An Overview 2003 Preface The National Energy Modeling System: An Overview 2003 provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2025 for the Annual Energy Outlook 2003 (AEO2003), (DOE/EIA-0383(2003)), released in January 2003. AEO2003 presents national forecasts of energy markets for five primary casesa reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document provide further details.
Radiation modeling using the Uintah heterogeneous CPU/GPU runtime system
The Uintah Computational Framework was developed to provide an environment for solving fluid-structure interaction problems on structured adaptive grids on large-scale, long-running, data-intensive problems. Uintah uses a combination of fluid-flow solvers ... Keywords: GPU, Keeneland, TitanDev, Uintah, adaptive, heterogeneous systems, hybrid parallelism, parallel, scalability
Alan Humphrey; Qingyu Meng; Martin Berzins; Todd Harman
White paper on VU for Modeling Nuclear Energy Systems
The purpose of this whitepaper is to provide a framework for understanding the role that Verification and Validation (V&V), Uncertainty Quantification (UQ) and Risk Quantification, collectively referred to as VU, is expected to play in modeling nuclear energy systems. We first provide background for the modeling of nuclear energy based systems. We then provide a brief discussion that emphasizes the critical elements of V&V as applied to nuclear energy systems but is general enough to cover a broad spectrum of scientific and engineering disciplines that include but are not limited to astrophysics, chemistry, physics, geology, hydrology, chemical engineering, mechanical engineering, civil engineering, electrical engineering, nu nuclear engineering material clear science science, etc. Finally, we discuss the critical issues and challenges that must be faced in the development of a viable and sustainable VU program in support of modeling nuclear energy systems.
Klein, R; Turinsky, P
Surficial Extent And Conceptual Model Of Hydrothermal System At Mount
Surficial Extent And Conceptual Model Of Hydrothermal System At Mount Surficial Extent And Conceptual Model Of Hydrothermal System At Mount Rainier, Washington Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: Surficial Extent And Conceptual Model Of Hydrothermal System At Mount Rainier, Washington Details Activities (4) Areas (2) Regions (0) Abstract: A once massive hydrothermal system was disgorged from the summit of Mount Rainier in a highly destructive manner about 5000 years ago. Today, hydrothermal processes are depositing clayey alteration products that have the potential to reset the stage for similar events in the future. Areas of active hydrothermal alteration occur in three representative settings: 1. (1) An extensive area (greater than 12,000 m2) of heated ground and slightly acidic boiling-point fumaroles at 76-82°C at
Model documentation renewable fuels module of the National Energy Modeling System
This report documents the objectives, analytical approach, and design of the National Energy Modeling System (NEMS) Renewable Fuels Module (RFM) as it relates to the production of the 1997 Annual Energy Outlook forecasts. The report catalogues and describes modeling assumptions, computational methodologies, data inputs. and parameter estimation techniques. A number of offline analyses used in lieu of RFM modeling components are also described. This documentation report serves three purposes. First, it is a reference document for model analysts, model users, and the public interested in the construction and application of the RFM. Second, it meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Finally, such documentation facilitates continuity in EIA model development by providing information sufficient to perform model enhancements and data updates as part of EIA`s ongoing mission to provide analytical and forecasting information systems.
Dynamic modeling efforts for system interface studies for nuclear hydrogen production.
System interface studies require not only identifying economically optimal equipment configurations, which involves studying mainly full power steady-state operation, but also assessing the operability of a design during load change and startup and assessing safety-related behavior during upset conditions. This latter task is performed with a dynamic simulation code. This report reviews the requirements of such a code. It considers the types of transients that will need to be simulated, the phenomena that will be present, the models best suited for representing the phenomena, and the type of numerical solution scheme for solving the models to obtain the dynamic response of the combined nuclear-hydrogen plant. Useful insight into plant transient behavior prior to running a dynamics code is obtained by some simple methods that take into account component time constants and energy capacitances. Methods for determining reactor stability, plant startup time, and temperature response during load change, and tripping of the reactor are described. Some preliminary results are presented.
Vilim, R. B.; Nuclear Engineering Division
Natural gas transmission and distribution model of the National Energy Modeling System
The Natural Gas Transmission and Distribution Model (NGTDM) is the component of the National Energy Modeling System (NEMS) that is used to represent the domestic natural gas transmission and distribution system. NEMS was developed in the Office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA). NEMS is the third in a series of computer-based, midterm energy modeling systems used since 1974 by the EIA and its predecessor, the Federal Energy Administration, to analyze domestic energy-economy markets and develop projections. From 1982 through 1993, the Intermediate Future Forecasting System (IFFS) was used by the EIA for its analyses, and the Gas Analysis Modeling System (GAMS) was used within IFFS to represent natural gas markets. Prior to 1982, the Midterm Energy Forecasting System (MEFS), also referred to as the Project Independence Evaluation System (PIES), was employed. NEMS was developed to enhance and update EIA`s modeling capability by internally incorporating models of energy markets that had previously been analyzed off-line. In addition, greater structural detail in NEMS permits the analysis of a broader range of energy issues. The time horizon of NEMS is the midterm period (i.e., through 2015). In order to represent the regional differences in energy markets, the component models of NEMS function at regional levels appropriate for the markets represented, with subsequent aggregation/disaggregation to the Census Division level for reporting purposes.
There is significant interest in hydrogen storage systems that employ a media which either adsorbs, absorbs or reacts with hydrogen in a nearly reversible manner. In any media based storage system the rate of hydrogen uptake and the system capacity is governed by a number of complex, coupled physical processes. To design and evaluate such storage systems, a comprehensive methodology was developed, consisting of a hierarchical sequence of models that range from scoping calculations to numerical models that couple reaction kinetics with heat and mass transfer for both the hydrogen charging and discharging phases. The scoping models were presented in Part I [1] of this two part series of papers. This paper describes a detailed numerical model that integrates the phenomena occurring when hydrogen is charged and discharged. A specific application of the methodology is made to a system using NaAlH{sub 4} as the storage media.
Modeling and Simulation of a Solar Assisted Desiccant Cooling System
Modeling and Simulation of a Solar Assisted Desiccant Cooling System Modeling and Simulation of a Solar Assisted Desiccant Cooling System Speaker(s): Chadi Maalouf Date: December 2, 2004 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Peng Xu Increased living standards and high occupants comfort demands lead to a growth in air conditioning market. This results in high energy consumption and high CO2 emissions. For these reasons, the solar desiccant cooling system is proposed as an alternative to traditional air conditioning systems. This system comprises a desiccant wheel containing Lithium Chloride in tandem with a rotating heat exchanger and two humidifiers on both supply and return air. The required regeneration temperature for the desiccant wheel varies between 40oC and 70oC which makes possible the use
Transportation Sector Model of the National Energy Modeling System. Volume 2 -- Appendices: Part 1
This volume contains input data and parameters used in the model of the transportation sector of the National Energy Modeling System. The list of Transportation Sector Model variables includes parameters for the following: Light duty vehicle modules (fuel economy, regional sales, alternative fuel vehicles); Light duty vehicle stock modules; Light duty vehicle fleet module; Air travel module (demand model and fleet efficiency model); Freight transport module; Miscellaneous energy demand module; and Transportation emissions module. Also included in these appendices are: Light duty vehicle market classes; Maximum light duty vehicle market penetration parameters; Aircraft fleet efficiency model adjustment factors; and List of expected aircraft technology improvements.
Building energy modeling programs comparison Research on HVAC systems
energy modeling programs comparison Research on HVAC systems energy modeling programs comparison Research on HVAC systems simulation part Title Building energy modeling programs comparison Research on HVAC systems simulation part Publication Type Journal Year of Publication 2013 Authors Zhou, Xin, Da Yan, Tianzhen Hong, and Dandan Zhu Keywords Building energy modeling programs, comparison tests, HVAC system simulation, theory analysis Abstract Building energy simulation programs are effective tools for the evaluation of building energy saving and optimization of design. The fact that large discrepancies exist in simulated results when different BEMPs are used to model the same building has caused wide concern. Urgent research is needed to identify the main elements that contribute towards the simulation results. This technical report summarizes methodologies, processes, and the main assumptions of three building energy modeling programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E, and test cases are designed to analyze the calculation process in detail. This will help users to get a better understanding of BEMPs and the research methodology of building simulation. This will also help build a foundation for building energy code development and energy labeling programs.
Two Stage Liquefaction With Illinois 6 Coal: Volume 2: Run 248
This report presents the operating results for Run 248 at the Advanced Coal Liquefaction R&D Facility in Wilsonville, Alabama. The run began on 8 February 1985 and continued through 5 May 1985. A total of 170 tons of Illinois No. 6 bituminous coal was fed in 1,904 hours of operation. The primary run objectives included the demonstration of unit and system operability for bituminous coal with the low-contact time (LCT) reactor in place at the thermal liquefaction unit (TLU) in both the Double Integrated T...
Two Stage Liquefaction With Illinois 6 Coal: Volume 3: Run 250
This report presents the operating results for Run 250 at the Advanced Coal Liquefaction R&D Facility in Wilsonville, Alabama. This run operated in a Two-Stage Liquefaction (TSL) mode using Illinois No. 6 bituminous coal from the Burning Star mine. The primary run objective was demonstration of unit and system operability for bituminous coal in the Close-Coupled Integrated Two-Stage Liquefaction (CC-ITSL) mode of operation. In CC-ITSL the products from the thermal (first stage) reactor are sent directly ...
Integrated model-based run-to-run uniformity control for epitaxial silicon deposition.
Semiconductor fabrication facilities require an increasingly expensive and integrated set of processes. The bounds on efficiency and repeatability for each process step continue to tighten under the pressure of economic ...
Gower, Aaron E. (Aaron Elwood)
Self-constructive high-rate system energy modeling for battery-powered mobile systems
System energy models are important for energy optimization and management in mobile systems. However, existing system energy models are built in a lab setting with the help from a second computer. Not only are they labor-intensive; but also they do not adequately account for the great diversity in the hardware and usage of mobile systems. Moreover, existing system energy models are intended for energy estimation for time intervals of one second or longer; they do not provide the required rate for fine-grain use such as per-application energy accounting. In this work, we study a self-modeling paradigm in which a mobile system automatically generates its energy model without any external assistance. Our solution, Sesame, leverages the possibility of self power measurement through the smart battery interface and employs a suite of novel techniques to achieve accuracy and rate much higher than that of the smart battery interface. We report the implementation and evaluation of Sesame on a laptop and a smartphone. The experiment results show that Sesame is able to generate system energy models of 95 % accuracy at one estimation per second and of 88 % accuracy at one estimation per 10 ms, without any external assistance. Two fiveday field studies with four laptop and four smartphones users further demonstrate the effectiveness, efficiency, and noninvasiveness of Sesame.
Mian Dong; Lin Zhong
Definition: Numerical Modeling | Open Energy Information
Definition Definition Edit with form History Facebook icon Twitter icon » Definition: Numerical Modeling Jump to: navigation, search Dictionary.png Numerical Modeling A computer model that is designed to simulate and reproduce the mechanisms of a particular system.[1] View on Wikipedia Wikipedia Definition A computer simulation, a computer model, or a computational model is a computer program, run on a single computer, or a network of computers, that attempts to simulate an abstract model of a particular system. Computer simulations have become a useful part of mathematical modeling of many natural systems in physics, astrophysics, chemistry and biology, human systems in economics, psychology, social science, and engineering. Simulation of a system is represented as the running of the system's model.
Modeling studies of geothermal systems with a free water surface
A numerical simulator was developed for the modeling of air-steam-water systems. The simulator was applied to various problems involving injection into or production from a geothermal reservoir in hydraulic communication with a shallow free-surface aquifer. First, a one-dimensional column problem is considered and the water level movement during exploitation is studied using different capillary pressure functions. Second, a two-dimensional radial model is used to study and compare reservoir depletion for cases with and without a free-surface aquifer. Finally, the contamination of a shallow free-surface aquifer due to cold water injection is investigated. The primary aim of these studies is to obtain an understanding of the response of a reservoir in hydraulic communication with a unconfined aquifer during exploitation or injection and to determine under which circumstances conventional modeling techniques (fully saturated systems) can be applied to such systems.
Bodvarsson, G.S.; Pruess, K.
Hybrid2: The hybrid power system simulation model
There is a large-scale need and desire for energy in remote communities, especially in the developing world; however the lack of a user friendly, flexible performance prediction model for hybrid power systems incorporating renewables hindered the analysis of hybrids (including wind turbines, PV, diesel generators, AC/DC energy storage) as options to conventional solutions. A user friendly model was needed with the versatility to simulate the many system locations, widely varying hardware configurations, and differing control options for potential hybrid power systems. To meet these ends, NREL and U. Mass. researchers developed the Hybrid2 software. This paper provides an overview of the capabilities, features, and functionality of the Hybrid2 code, discusses its validation and future plans. Model availability and technical support provided to Hybrid2 users are also discussed.
Baring-Gould, E I; Green, H J; van Dijk, V A.P. [National Renewable Energy Lab., Golden, CO (United States); Manwell, J F [Massachusetts Univ., Amherst, MA (United States). Renewable Energy Research Lab.
A Geochemical Model Of The Platanares Geothermal System, Honduras | Open
source source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit History Facebook icon Twitter icon » A Geochemical Model Of The Platanares Geothermal System, Honduras Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Journal Article: A Geochemical Model Of The Platanares Geothermal System, Honduras Details Activities (0) Areas (0) Regions (0) Abstract: Results of exploration drilling combined with results of geologic, geophysical, and hydrogeochemical investigations have been used to construct a geochemical model of the Platanares geothermal system, Honduras. Three coreholes were drilled, two of which produced fluids from fractured Miocene andesite and altered Cretaceous to Eocene conglomerate at
System Advisor Model, SAM 2011.12.2: General Description
System Advisor Model, System Advisor Model, SAM 2011.12.2: General Description Paul Gilman and Aron Dobos Technical Report NREL/TP-6A20-53437 February 2012 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 1617 Cole Boulevard Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 System Advisor Model, SAM 2011.12.2: General Description Paul Gilman and Aron Dobos Prepared under Task No. SS12.1130 Technical Report NREL/TP-6A20-53437 February 2012 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.
The National Energy Modeling System: An Overview 2003
3) 3) The National Energy Modeling System: An Overview 2003 March 2003 Energy Information Administration Office of Integrated Analysis and Forecasting U.S. Department of Energy Washington, DC 20585 This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html The National Energy Modeling System: An Overview 2003 provides a summary description of the National En- ergy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, im- ports, and
Gaussian Process Modeling: Applications to Building Systems and Algorithmic
Gaussian Process Modeling: Applications to Building Systems and Algorithmic Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges Speaker(s): Victor M. Zavala Date: November 5, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette Michael Sohn We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kernel or covariance matrix. In addition, it derives from a Bayesian framework and, as such, it naturally provides predictive probability distributions. We describe how these features can be exploited in Measurement and Verification (M&V) tasks and
MIT Integrated Global System Model (IGSM) Version 2: Model Description and Baseline Evaluation
The MIT Integrated Global System Model (IGSM) is designed for analyzing the global environmental changes that may result from anthropogenic causes, quantifying the uncertainties associated with the projected changes, and ...
Sokolov, Andrei P.
Prototyping a fault-tolerant multiprocessor SoC with run-time fault recovery
Modern integrated circuits (ICs) are becoming increasingly complex. The complexity makes it difficult to design, manufacture and integrate these high performance ICs. The advent of multiprocessor Systems-on-chips (SoCs) makes it even more challenging ... Keywords: fault-tolerance, multiprocessor system, network-on-chip, retargetable simulation, run-time verification, system-on-chip
Xinping Zhu; Wei Qin
Experimental-based modeling of a support structure as part of a full system model
Structural dynamic systems are often attached to a support structure to simulate proper boundary conditions during testing. In some cases the support structure is fairly simple and can be modeled by discrete springs and dampers. In other cases the desired test conditions necessitate the use of a support structural that introduces dynamics of its own. For such cases a more complex structural dynamic model is required to simulate the response of the full combined system. In this paper experimental frequency response functions, admittance function modeling concepts, and least squares reductions are used to develop a support structure model including both translational and rotational degrees of freedom at an attachment location. Subsequently, the modes of the support structure are estimated, and a NASTRAN model is created for attachment to the tested system.
Macro System Model (MSM) User Guide, Version 1.3
This user guide describes the macro system model (MSM). The MSM has been designed to allow users to analyze the financial, environmental, transitional, geographical, and R&D issues associated with the transition to a hydrogen economy. Basic end users can use the MSM to answer cross-cutting questions that were previously difficult to answer in a consistent and timely manner due to various assumptions and methodologies among different models.
Ruth, M.; Diakov, V.; Sa, T.; Goldsby, M.
Residential response to price changes in natural gas service: A short-run analysis
Residential consumer demand for natural gas services is determined by numerous components including natural gas and competing fuel prices, weather patterns, appliance ownership characteristics, income, and energy conservation measure implementation. This study utilizes household-level data on a set of the determinants of residential natural gas demand, combined with corresponding consumption observations, to analyze the price response over the [open quotes]short-run[close quotes] period, in which primary natural gas-consuming appliances are fixed. Two model specifications are employed in this study to model the natural gas demand function and derive short-run price elasticity estimates. These are the Error Components (EC) and Fixed Effects (FE) models. These specifications result in elastic short-run responses estimates ranging between [minus]2.164 and [minus]7.015. These values contrast with the inelastic short-run estimated responses presented in previous empirical work, and the likelihood of actually observing such large short-run responses is expected to be small. The large estimates developed in the current study are evidently due to the use of household-specific data that incorporates disaggregated factors that influence monthly fluctuations in demand. This level of detail is subsumed within the aggregated data employed in prior studies. The price elasticity estimates developed in this study are directly applicable to short-run fuel demand analyses. The estimates are also applicable to the development, implementation, and evaluation of energy conservation programs.
Wilson, P.A.
System-level modeling for geological storage of CO2
One way to reduce the effects of anthropogenic greenhousegases on climate is to inject carbon dioxide (CO2) from industrialsources into deep geological formations such as brine formations ordepleted oil or gas reservoirs. Research has and is being conducted toimprove understanding of factors affecting particular aspects ofgeological CO2 storage, such as performance, capacity, and health, safetyand environmental (HSE) issues, as well as to lower the cost of CO2capture and related processes. However, there has been less emphasis todate on system-level analyses of geological CO2 storage that considergeological, economic, and environmental issues by linking detailedrepresentations of engineering components and associated economic models.The objective of this study is to develop a system-level model forgeological CO2 storage, including CO2 capture and separation,compression, pipeline transportation to the storage site, and CO2injection. Within our system model we are incorporating detailedreservoir simulations of CO2 injection and potential leakage withassociated HSE effects. The platform of the system-level modelingisGoldSim [GoldSim, 2006]. The application of the system model is focusedon evaluating the feasibility of carbon sequestration with enhanced gasrecovery (CSEGR) in the Rio Vista region of California. The reservoirsimulations are performed using a special module of the TOUGH2 simulator,EOS7C, for multicomponent gas mixtures of methane and CO2 or methane andnitrogen. Using this approach, the economic benefits of enhanced gasrecovery can be directly weighed against the costs, risks, and benefitsof CO2 injection.
Zhang, Yingqi; Oldenburg, Curtis M.; Finsterle, Stefan; Bodvarsson, Gudmundur S.
Direct-Steam Linear Fresnel Performance Model for NREL's System Advisor Model
This paper presents the technical formulation and demonstrated model performance results of a new direct-steam-generation (DSG) model in NREL's System Advisor Model (SAM). The model predicts the annual electricity production of a wide range of system configurations within the DSG Linear Fresnel technology by modeling hourly performance of the plant in detail. The quasi-steady-state formulation allows users to investigate energy and mass flows, operating temperatures, and pressure drops for geometries and solar field configurations of interest. The model includes tools for heat loss calculation using either empirical polynomial heat loss curves as a function of steam temperature, ambient temperature, and wind velocity, or a detailed evacuated tube receiver heat loss model. Thermal losses are evaluated using a computationally efficient nodal approach, where the solar field and headers are discretized into multiple nodes where heat losses, thermal inertia, steam conditions (including pressure, temperature, enthalpy, etc.) are individually evaluated during each time step of the simulation. This paper discusses the mathematical formulation for the solar field model and describes how the solar field is integrated with the other subsystem models, including the power cycle and optional auxiliary fossil system. Model results are also presented to demonstrate plant behavior in the various operating modes.
Further Developments on the Geothermal System Scoping Model: Preprint
This paper discusses further developments and refinements for the uses of the Geothermal System Scoping Model in an effort to provide a means for performing a variety of trade-off analyses of surface and subsurface parameters, sensitivity analyses, and other systems engineering studies in order to better inform R&D direction and investment for the development of geothermal power into a major contributor to the U.S. energy supply.
Antkowiak, M.; Sargent, R.; Geiger, J. W.
An optimization-model-based interactive decision support system for regional energy management systems planning und