text:
Office of Scientific and Technical Information
Policy Analysis Modeling System (PAMS) | Open Energy Information
Open Energy Info (EERE)
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County, Maine:Plug Power Inc Jump to:Venture, Texas: EnergyPolema JSC
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Project Title Mobile Device Management. Team Pam Horne, Jolene King, Jim Lehman, Marcus Lill, Terry Schroeder, David Shaw
E-Print Network [OSTI]
Project Title Mobile Device Management. Team Pam Horne, Jolene King, Jim Lehman, Marcus Lill, Terry and supporting mobile devices that access Purdue data and information. Hypothesis We anticipate there would be several advantages from providing a model of supporting mobile devices. These advantages would be in areas
Role of Pam16's degenerate J domain in protein import across the mitochondrial inner membrane
Patrick R. D'Silva*, Brenda Schilke*, William Walter, and Elizabeth A. Craig Department of Biochemistry domain to stim- ulate Ssc1's ATPase domain, and (iii) the innately lower stimulatory activity of the Pam-terminal regions. In addition, the C-terminal region of Pam16 has significant sequence similarity to Pam18's C
Craig, Elizabeth A
From: Pam Hartwig To: Congestion Study Comments Subject:
Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site
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Co-nonsolvency of PNiPAM at the transition between solvation mechanisms
We investigate the co-nonsolvency of poly-N-isopropyl acrylamide (PNiPAM) in different water-alcohol mixtures and show that this phenomenon is due to two distinct solvation contributions governing the phase behavior of PNiPAM in the water-rich and alcohol-rich regime respectively. While hydrophobic hydration is the predominant contribution governing the phase behavior of PNiPAM in the water-rich regime, the mixing contributions governing the phase behavior of classical polymer solutions determine the phase behavior of PNiPAM in the alcohol-rich regime. This is evidenced by distinct scaling relations denoting the energetic state of the aqueous medium as a key parameter for the phase behavior of PNiPAM in the water-rich regime, while the volume fractions of respectively water, alcohol and PNiPAM become relevant parameters in the alcohol-rich regime. Adding alcohol to water decreases the energetics of the aqueous medium, which gradually suppresses hydrophobic hydration, while adding water to alcohol decreases the solvent quality. Consequently, PNiPAM is insoluble in the intermediate range of solvent composition, where neither hydrophobic hydration nor the mixing contributions prevail. This accounts for the co-nonsolvency phenomenon observed for PNiPAM in water-alcohol mixtures.
Irmgard Bischofberger; Davide C. E. Calzolari; Veronique Trappe
Queuing models System dynamics models
models Value chain models Business Model / Organizational Perspective Process Perspective Information#12;#12;#12;#12;Queuing models System dynamics models #12;#12;#12;#12;Blueprint or touchpoint
Glushko, Robert J.
Portfolio Analysis and Management System (PAMS) External User Guide
Broader source: Energy.gov (indexed) [DOE]
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Portfolio Analysis and Management System (PAMS) External User Guide |
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Cognitive Systems Cognitive Modeling
1 Cognitive Systems Cognitive Modeling Foundations of Information Processing in Natural Barkowsky, Christian Freksa 2 Cognitive Systems: Topics · Introduction · Perception · Memory and Reasoning · Learning and Action · Communication · Empirical Methods 3 Cognitive Modeling: Topics · Cognitive
Bremen, Universität
RSMASS system model development
SciTech Connect (OSTI)
RSMASS system mass models have been used for more than a decade to make rapid estimates of space reactor power system masses. This paper reviews the evolution of the RSMASS models and summarizes present capabilities. RSMASS has evolved from a simple model used to make rough estimates of space reactor and shield masses to a versatile space reactor power system model. RSMASS uses unique reactor and shield models that permit rapid mass optimization calculations for a variety of space reactor power and propulsion systems. The RSMASS-D upgrade of the original model includes algorithms for the balance of the power system, a number of reactor and shield modeling improvements, and an automatic mass optimization scheme. The RSMASS-D suite of codes cover a very broad range of reactor and power conversion system options as well as propulsion and bimodal reactor systems. Reactor choices include in-core and ex-core thermionic reactors, liquid metal cooled reactors, particle bed reactors, and prismatic configuration reactors. Power conversion options include thermoelectric, thermionic, Stirling, Brayton, and Rankine approaches. Program output includes all major component masses and dimensions, efficiencies, and a description of the design parameters for a mass optimized system. In the past, RSMASS has been used as an aid to identify and select promising concepts for space power applications. The RSMASS modeling approach has been demonstrated to be a valuable tool for guiding optimization of the power system design; consequently, the model is useful during system design and development as well as during the selection process. An improved in-core thermionic reactor system model RSMASS-T is now under development. The current development of the RSMASS-T code represents the next evolutionary stage of the RSMASS models. RSMASS-T includes many modeling improvements and is planned to be more user-friendly. RSMASS-T will be released as a fully documented, certified code at the end of 1998. A radioisotope space power system model RISMASS is also under development. RISMASS will optimize and predict system masses for radioisotope power sources coupled with close-spaced thermionic diodes. Although RSMASS-D models have been developed for a broad variety of space nuclear power and propulsion systems, only a few concepts will be included in the releasable RSMASS-T computer code. A follow-on effort is recommended to incorporate all previous models as well as solar power system models into one general code. The proposed Space Power and propulsion system MASS (SPMASS) code would provide a consistent analysis tool for comparing a very broad range of alternative power and propulsion systems for any required power level and operating conditions. As for RSMASS-T the SPMASS model should be a certified, fully documented computer code available for general use. The proposed computer program would provide space mission planners with the capability to quickly and cost effectively explore power system options for any space mission. The code should be applicable for power requirements from as low as a few milliwatts (solar and isotopic system options) to many megawatts for reactor power and propulsion systems.
Marshall, A.C.; Gallup, D.R.
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.
Final Report 2004 to Pam Maida.doc
Office of Environmental Management (EM)
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Microsoft Word - Statement of Pam Patton at DOE Quadrennial Energy Review July 28 2014 - final
Energy Savers [EERE]
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Model systems This year's model
@biochem.wisc.edu RTR received ScB degrees in chemistry and biology from the Massachusetts Institute of Technology that initially inspired the chemical simplification. In such cases, the later stages of model studies can seem
Raines, Ronald T.
Nuclear Systems Modeling & Simulation | More Science | ORNL
Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)
Systems Modeling and Simulation SHARE Nuclear Systems Modeling and Simulation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion model for the...
Nuclear Systems Modeling, Simulation & Validation | ORNL
Systems Modeling and Simulation SHARE Nuclear Systems Modeling, Simulation and Validation Reactor physics depletion model for the Advanced Test Reactor Reactor physics depletion...
Transformer modeling in power systems
A practical and accurate method of modeling various transformers in power systems using a general circuit model approach is described in this paper. The advantage of the new approach is that it can model transformers along with a complex circuit network, while avoiding the use of symmetrical components, unlike other approaches. The transformer modeling technique introduced in this paper is very useful to accurately determine fault current distribution in a power system and electromagnetic interference on pipelines and communication lines installed in a right-of-way consisting of transmission lines operating at different voltages.
Ma, J.; Dawalibi, F.P. [Safe Engineering Services and Technologies Ltd., Montreal, Quebec (Canada)
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...
Probabilistic models for feedback systems.
In previous work, we developed a Bayesian-based methodology to analyze the reliability of hierarchical systems. The output of the procedure is a statistical distribution of the reliability, thus allowing many questions to be answered. The principal advantage of the approach is that along with an estimate of the reliability, we also can provide statements of confidence in the results. The model is quite general in that it allows general representations of all of the distributions involved, it incorporates prior knowledge into the models, it allows errors in the 'engineered' nodes of a system to be determined by the data, and leads to the ability to determine optimal testing strategies. In this report, we provide the preliminary steps necessary to extend this approach to systems with feedback. Feedback is an essential component of 'complexity' and provides interesting challenges in modeling the time-dependent action of a feedback loop. We provide a mechanism for doing this and analyze a simple case. We then consider some extensions to more interesting examples with local control affecting the entire system. Finally, a discussion of the status of the research is also included.
Grace, Matthew D.; Boggs, Paul T.
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
Salinity routing in reservoir system modeling
in several major river basins in Texas and neighboring states. WRAP is the river/reservoir system simulation model incorporated in the Water Availability Modeling (WAM) System applied by agencies and consulting firms in Texas in planning and water right...
Ha, Mi Ae
Modeling the Earth System, volume 3
The topics covered fall under the following headings: critical gaps in the Earth system conceptual framework; development needs for simplified models; and validating Earth system models and their subcomponents.
Ojima, D.
Model Development Development of a system emulating the global carbon cycle in Earth system models
developed a loosely coupled model (LCM) which can represent the outputs of a GCMbased Earth system model
K. Tachiiri; J. C. Hargreaves; J. D. Annan; A. Oka; A. Abe-ouchi; M. Kawamiya
National Energy Modeling System (NEMS)
DOE Data Explorer [Office of Scientific and Technical Information (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.
Development and application of earth system models
Development and application of earth system models Ronald G. Prinn *Reprinted from Proceedings, 2011) The global environment is a complex and dynamic system. Earth system modeling is needed to help: firstname.lastname@example.com Website: http://globalchange.mit.edu/ #12;Development and application of earth system
Effect of electron-phonon interaction on resistivity of some heavy fermion (HF) systems
Here, we have analyzed the electron-phonon interaction in the Periodic Anderson Model (PAM) to describe the temperature dependence of resistivity in some heavy fermion (HF) systems for finite wave vector (q) and for finite temperature (T). Since the resistivity is related to the imaginary part of the electron self energy, the expression for the same is evaluated through double time temperature dependant Green function technique of the Zubarev type. The effect of different system parameters namely the position of 4f level, E{sub 0} and the electron - phonon coupling strengths on resistivity have been studied. The results obtained give satisfactory explanations to the experimental observations.
Sahoo, J., E-mail: email@example.com [Assistant Director, Regional Office of Vocational Education, Sambalpur, Odisha-768004 (India); Shadangi, N. [Dept. of Physics, Silicon Institute of Technology, Sambalpur, Odisha-768200 (India); Nayak, P. [School of Physics, Sambalpur University, Sambalpur, Odisha-768019 (India)
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.
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.
Bifurcation Analysis of Various Power System Models
generator and transmission system. Di erent modeling levels with their respective di erential-algebraic equa, the generation or system loading levels are used as bifurcation parameters, which are varied slowly, moving erent induction motor load models are considered. The loads were modeled as constant, linear
Cañizares, Claudio A.
Network and adaptive system of systems modeling and analysis.
This report documents the results of an LDRD program entitled ''Network and Adaptive System of Systems Modeling and Analysis'' that was conducted during FY 2005 and FY 2006. The purpose of this study was to determine and implement ways to incorporate network communications modeling into existing System of Systems (SoS) modeling capabilities. Current SoS modeling, particularly for the Future Combat Systems (FCS) program, is conducted under the assumption that communication between the various systems is always possible and occurs instantaneously. A more realistic representation of these communications allows for better, more accurate simulation results. The current approach to meeting this objective has been to use existing capabilities to model network hardware reliability and adding capabilities to use that information to model the impact on the sustainment supply chain and operational availability.
Lawton, Craig R.; Campbell, James E. Dr. (.; .); Anderson, Dennis James; Eddy, John P.
Project Administration and Management (PAM) PAM Progress*
, Huron Post-Award Team GCA, FIS, Huron Cash Mgmt Team GCA, FIS, Huron Testing Team FS Huron Conversion Team GCA, OSP, FIS, UIT/ACS, Huron Technical Team UIT/ACS PeopleSoft Grants Team FBS, GCA, OSP FIS, UIT
Development and Application of Earth System Models
The global environment is a complex and dynamic system. Earth system modeling is needed to help understand changes in interacting subsystems, elucidate the influence of human activities, and explore possible future changes. ...
Prinn, Ronald G.
Topology-Based Vehicle Systems Modelling.
??The simulation tools that are used to model vehicle systems have not been advancing as quickly as the growth of research and technology surrounding the� (more)
Yam, Edward
Modelling a data acquisition system
A data acquisition system to be run on a Data General ECLIPSE computer has been completely designed and developed using a VAX 11/780. This required that many of the features of the RDOS operating system be simulated on the VAX. Advantages and disadvantages of this approach are discussed, with particular regard to transportability of the system among different machines/operating systems, and the effect of the approach on various design decisions.
Green, P.W.
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
Text-Alternative Version: Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce
Broader source: Energy.gov [DOE]
This is the Webcast of Renewable Energy and Competency model. Led by Linda Silverman an economist at Energy Efficiency and Renewable Energy and Pam Frugoli Department of Labor. This webcast was on...
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.
Earth System Models especially those of
Dioxide Deep Ocean Carbon Dioxide Freshwater Outgasing Deep water Slide courtesy ofSlide courtesy of P.Valdes (Genie)P.Valdes (Genie) What is an Earth System Model ?What is an Earth System Model ? #12;Components-A Coupled Modes? Decadal Modes? ~1 Sea-ice variability #12;Existing EMICS Information from M. Claussen (PIK
Shepherd, John
Modeling of Residential Buildings and Heating Systems
-zone building model is used in each case. A model of the heating system is also used for the multi-storey building. Both co-heating and tracer gas measurements are used in order to adjust the parameters of each building model. A complete monitoring...
Masy, G.; Lebrun, J.
Reference Modeling for Inter-organizational Systems
to gain efficiency in the modeling process and a higher quality of inter-organizational solutions. 1Reference Modeling for Inter-organizational Systems Dieter Mayrhofer Institute of email@example.com Abstract. Inter-organizational business process models are created and used by different partner networks
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
2005: Table of EMICs (Earth System Models of Intermediate Complexity
apparent that Earth system modelling has to rely on a hierarchy of models in which models of intermediate
Martin Claussen
Structural system identification: Structural dynamics model validation
Structural system identification is concerned with the development of systematic procedures and tools for developing predictive analytical models based on a physical structure`s dynamic response characteristics. It is a multidisciplinary process that involves the ability (1) to define high fidelity physics-based analysis models, (2) to acquire accurate test-derived information for physical specimens using diagnostic experiments, (3) to validate the numerical simulation model by reconciling differences that inevitably exist between the analysis model and the experimental data, and (4) to quantify uncertainties in the final system models and subsequent numerical simulations. The goal of this project was to develop structural system identification techniques and software suitable for both research and production applications in code and model validation.
Red-Horse, J.R.
Systems Modeling | ornl.gov
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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)
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...
Wurbs, Ralph A.
Maui Electrical System Model Development
1 2. Simulation Data and Assumptions 1 2.1 Economic Data and Assumptions 1 2.1.1 Thermal Plants 1 2 in the preliminary results presentation on June 16th, are summarized in this section. 2.1.1 Thermal Plants of the power plant FUEL_TYPE OIL-Distillate Oil (No.2); RENEW - zero cost fuel used for modeling Wind & Geoth
Convex Models of Distribution System Reconfiguration
We derive new mixed-integer quadratic, quadratically constrained, and second-order cone programming models of distribution system reconfiguration, which are to date the first formulations of the ac problem that have convex, ...
Taylor, Joshua A.
Reduced-Order Model Design for Nonlinear Smart System Models
nonlinear smart material system models can yield full-order numerical models that accurately characterize: Smart materials, proper orthogonal decomposition 1. Introduction Proper Orthogonal Decomposition (POD those seeking to implement real-time control on smart material structures (see [1] and the references
Hybrid Energy System Modeling in Modelica
In this paper, a Hybrid Energy System (HES) configuration is modeled in Modelica. Hybrid Energy Systems (HES) have as their defining characteristic the use of one or more energy inputs, combined with the potential for multiple energy outputs. Compared to traditional energy systems, HES provide additional operational flexibility so that high variability in both energy production and consumption levels can be absorbed more effectively. This is particularly important when including renewable energy sources, whose output levels are inherently variable, determined by nature. The specific HES configuration modeled in this paper include two energy inputs: a nuclear plant, and a series of wind turbines. In addition, the system produces two energy outputs: electricity and synthetic fuel. The models are verified through simulations of the individual components, and the system as a whole. The simulations are performed for a range of component sizes, operating conditions, and control schemes.
William R. Binder; Christiaan J. J. Paredis; Humberto E. Garcia
Sandia National Laboratories: Systems Modeling
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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
Human performance modeling for system of systems analytics :soldier fatigue.
The military has identified Human Performance Modeling (HPM) as a significant requirement and challenge of future systems modeling and analysis initiatives as can be seen in the Department of Defense's (DoD) Defense Modeling and Simulation Office's (DMSO) Master Plan (DoD 5000.59-P 1995). To this goal, the military is currently spending millions of dollars on programs devoted to HPM in various military contexts. Examples include the Human Performance Modeling Integration (HPMI) program within the Air Force Research Laboratory, which focuses on integrating HPMs with constructive models of systems (e.g. cockpit simulations) and the Navy's Human Performance Center (HPC) established in September 2003. Nearly all of these initiatives focus on the interface between humans and a single system. This is insufficient in the era of highly complex network centric SoS. This report presents research and development in the area of HPM in a system-of-systems (SoS). Specifically, this report addresses modeling soldier fatigue and the potential impacts soldier fatigue can have on SoS performance.
Lawton, Craig R.; Campbell, James E.; Miller, Dwight Peter
network at the Davis-Besse nuclear power plant in Oak Harbor, Ohio, was infected [39]. There have been the behavior of the adversary is controlled by a threat model that captures both the cyber aspects (with-physical systems, threat models, protocols for treaty verification. 1. Introduction The rapid growth of information
Burmester, Mike
A toolkit for building earth system models
An earth system model is a computer code designed to simulate the interrelated processes that determine the earth`s weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.
Foster, I.
An earth system model is a computer code designed to simulate the interrelated processes that determine the earth's weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.
Space Power System Modeling with EBAL
Pratt and Whitney Rocket dyne's Engine Balance (EBAL) thermal/fluid system code has been expanded to model nuclear power closed Brayton cycle (CBC) power conversion systems. EBAL was originally developed to perform design analysis of hypersonic vehicle propellant and thermal management systems analysis. Later, it was adapted to rocket engine cycles. The new version of EBAL includes detailed, physics-based models of all key CBC system components. Some component examples are turbo-alternators, heat exchangers, heat pipe radiators, and liquid metal pumps. A liquid metal cooled reactor is included and a gas cooled reactor model is in work. Both thermodynamic and structural analyses are performed for each component. EBAL performs steady-state design analysis with optimization as well as off-design performance analysis. Design optimization is performed both at the component level by the component models and on the system level with a global optimizer. The user has the option to manually drive the optimization process or run parametric analysis to better understand system trade-off. Although recent EBAL developments have focused on a CBC conversion system, the code is easily extendible to other power conversion cycles. This new, more powerful version of EBAL allows for rapid design analysis and optimization of space power systems. A notional example of EBAL's capabilities is included. (authors)
Zillmer, Andrew; Hanks, David; Wen-Hsiung 'Tony' Tu [Pratt and Whitney Rocketdyne, 6633 Canoga Avenue MC LA 13, PO Box 7922, Canoga Park, CA 91309 (United States)
CTBT Integrated Verification System Evaluation Model
Sandia National Laboratories has developed a computer based model called IVSEM (Integrated Verification System Evaluation Model) to estimate the performance of a nuclear detonation monitoring system. The IVSEM project was initiated in June 1994, by Sandia`s Monitoring Systems and Technology Center and has been funded by the US Department of Energy`s Office of Nonproliferation and National Security (DOE/NN). IVSEM is a simple, top-level, modeling tool which estimates the performance of a Comprehensive Nuclear Test Ban Treaty (CTBT) monitoring system and can help explore the impact of various sensor system concepts and technology advancements on CTBT monitoring. One of IVSEM`s unique features is that it integrates results from the various CTBT sensor technologies (seismic, infrasound, radionuclide, and hydroacoustic) and allows the user to investigate synergy among the technologies. Specifically, IVSEM estimates the detection effectiveness (probability of detection) and location accuracy of the integrated system and of each technology subsystem individually. The model attempts to accurately estimate the monitoring system`s performance at medium interfaces (air-land, air-water) and for some evasive testing methods such as seismic decoupling. This report describes version 1.2 of IVSEM.
Edenburn, M.W.; Bunting, M.L.; Payne, A.C. Jr.
Protein viscoelastic dynamics: a model system
A model system inspired by recent experiments on the dynamics of a folded protein under the influence of a sinusoidal force is investigated and found to replicate many of the response characteristics of such a system. The essence of the model is a strongly over-damped oscillator described by a harmonic restoring force for small displacements that reversibly yields to stress under sufficiently large displacement. This simple dynamical system also reveals unexpectedly rich behavior, exhibiting a series of dynamical transitions and analogies with equilibrium thermodynamic phase transitions. The effects of noise and of inertia are briefly considered and described.
Craig Fogle; Joseph Rudnick; David Jasnow
APT Blanket System Model Based on Initial Conceptual Design - Integrated 1D TRAC System Model
This report documents the approaches taken in establishing a 1-dimensional integrated blanket system model using the TRAC code, developed by Los Alamos National Laboratory.
Hamm, L.L.
Intrinsic Uncertainties in Modeling Complex Systems.
Models are built to understand and predict the behaviors of both natural and artificial systems. Because it is always necessary to abstract away aspects of any non-trivial system being modeled, we know models can potentially leave out important, even critical elements. This reality of the modeling enterprise forces us to consider the prospective impacts of those effects completely left out of a model - either intentionally or unconsidered. Insensitivity to new structure is an indication of diminishing returns. In this work, we represent a hypothetical unknown effect on a validated model as a finite perturba- tion whose amplitude is constrained within a control region. We find robustly that without further constraints, no meaningful bounds can be placed on the amplitude of a perturbation outside of the control region. Thus, forecasting into unsampled regions is a very risky proposition. We also present inherent difficulties with proper time discretization of models and representing in- herently discrete quantities. We point out potentially worrisome uncertainties, arising from math- ematical formulation alone, which modelers can inadvertently introduce into models of complex systems. Acknowledgements This work has been funded under early-career LDRD project %23170979, entitled %22Quantify- ing Confidence in Complex Systems Models Having Structural Uncertainties%22, which ran from 04/2013 to 09/2014. We wish to express our gratitude to the many researchers at Sandia who con- tributed ideas to this work, as well as feedback on the manuscript. In particular, we would like to mention George Barr, Alexander Outkin, Walt Beyeler, Eric Vugrin, and Laura Swiler for provid- ing invaluable advice and guidance through the course of the project. We would also like to thank Steven Kleban, Amanda Gonzales, Trevor Manzanares, and Sarah Burwell for their assistance in managing project tasks and resources.
Cooper, Curtis S; Bramson, Aaron L.; Ames, Arlo L.
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.
Wind Technology Modeling Within the System Advisor Model (SAM) (Poster)
This poster provides detail for implementation and the underlying methodology for modeling wind power generation performance in the National Renewable Energy Laboratory's (NREL's) System Advisor Model (SAM). SAM's wind power model allows users to assess projects involving one or more large or small wind turbines with any of the detailed options for residential, commercial, or utility financing. The model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs, and provides analysis to compare the absolute or relative impact of these inputs. SAM is a system performance and economic model designed to facilitate analysis and decision-making for project developers, financers, policymakers, and energy researchers. The user pairs a generation technology with a financing option (residential, commercial, or utility) to calculate the cost of energy over the multi-year project period. Specifically, SAM calculates the value of projects which buy and sell power at retail rates for residential and commercial systems, and also for larger-scale projects which operate through a power purchase agreement (PPA) with a utility. The financial model captures complex financing and rate structures, taxes, and incentives.
Blair, N.; Dobos, A.; Ferguson, T.; Freeman, J.; Gilman, P.; Whitmore, J.
Advanced LD Engine Systems and Emissions Control Modeling and...
LD Engine Systems and Emissions Control Modeling and Analysis Advanced LD Engine Systems and Emissions Control Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and...
NREL's System Advisor Model Simplifies Complex Energy Analysis...
Office of Scientific and Technical Information (OSTI)
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet) Re-direct Destination: NREL has developed a tool -- the System Advisor Model (SAM) -- that can help...
Improving efficiency of a vehicle HVAC system with comfort modeling...
efficiency of a vehicle HVAC system with comfort modeling, zonal design, and thermoelectric devices Improving efficiency of a vehicle HVAC system with comfort modeling, zonal...
White Paper Societal Dimensions of Earth System Modeling
on Societal Dimensions of Earth System Modeling July 5, 2011 #12; 2 Executive Summary · A Societal Dimensions of Earth System Modeling workshop was held
Statistically downscaling from an Earth System Model of Intermediate
Statistically downscaling from an Earth System Model of Intermediate Complexity to reconstruct past Earth System Models of Intermediate Complexity (EMICs) have the advantage of allowing transient
Feigon, Brooke
Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel...
Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells Analysis Models and Tools: Systems Analysis of Hydrogen and Fuel Cells The Fuel Cell Technologies Office's...
Advanced PHEV Engine Systems and Emissions Control Modeling and...
PHEV Engine Systems and Emissions Control Modeling and Analysis Advanced PHEV Engine Systems and Emissions Control Modeling and Analysis 2011 DOE Hydrogen and Fuel Cells Program,...
Advanced HD Engine Systems and Emissions Control Modeling and...
HD Engine Systems and Emissions Control Modeling and Analysis Advanced HD Engine Systems and Emissions Control Modeling and Analysis 2012 DOE Hydrogen and Fuel Cells Program and...
Dynamical System Analysis for a phantom model
The paper deals with a dynamical system analysis related to phantom cosmological model . Here gravity is coupled to phantom scalar field having scalar coupling function and a potential. The field equations are reduced to an autonomous dynamical system by a suitable redefinition of the basic variables and assuming some suitable form of the potential function. Finally, critical points are evaluated, their nature have been analyzed and corresponding cosmological scenario has been discussed.
Nilanjana Mahata; Subenoy Chakraborty
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
Cost effectiveness of recycling: A systems model
Highlights: � Curbside collection of recyclables reduces overall system costs over a range of conditions. � When avoided costs for recyclables are large, even high collection costs are supported. � When avoided costs for recyclables are not great, there are reduced opportunities for savings. � For common waste compositions, maximizing curbside recyclables collection always saves money. - Abstract: Financial analytical models of waste management systems have often found that recycling costs exceed direct benefits, and in order to economically justify recycling activities, externalities such as household expenses or environmental impacts must be invoked. Certain more empirically based studies have also found that recycling is more expensive than disposal. Other work, both through models and surveys, have found differently. Here we present an empirical systems model, largely drawn from a suburban Long Island municipality. The model accounts for changes in distribution of effort as recycling tonnages displace disposal tonnages, and the seven different cases examined all show that curbside collection programs that manage up to between 31% and 37% of the waste stream should result in overall system savings. These savings accrue partially because of assumed cost differences in tip fees for recyclables and disposed wastes, and also because recycling can result in a more efficient, cost-effective collection program. These results imply that increases in recycling are justifiable due to cost-savings alone, not on more difficult to measure factors that may not impact program budgets.
Tonjes, David J., E-mail: firstname.lastname@example.com [Department of Technology and Society, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY 11794-3560 (United States); Waste Reduction and Management Institute, School of Marine and Atmospheric Sciences, Stony Brook University, Stony Brook, NY 11794-5000 (United States); Center for Bioenergy Research and Development, Advanced Energy Research and Technology Center, Stony Brook University, 1000 Innovation Rd., Stony Brook, NY 11794-6044 (United States); Mallikarjun, Sreekanth, E-mail: email@example.com [Department of Technology and Society, College of Engineering and Applied Sciences, Stony Brook University, Stony Brook, NY 11794-3560 (United States)
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.
Adaptive model training system and method
DOE Patents [OSTI]
An adaptive model training system and method for filtering asset operating data values acquired from a monitored asset for selectively choosing asset operating data values that meet at least one predefined criterion of good data quality while rejecting asset operating data values that fail to meet at least the one predefined criterion of good data quality; and recalibrating a previously trained or calibrated model having a learned scope of normal operation of the asset by utilizing the asset operating data values that meet at least the one predefined criterion of good data quality for adjusting the learned scope of normal operation of the asset for defining a recalibrated model having the adjusted learned scope of normal operation of the asset.
Bickford, Randall L; Palnitkar, Rahul M
Bickford, Randall L; Palnitkar, Rahul M; Lee, Vo
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.
Data Mining for Modeling Chiller Systems in Data Centers
Data Mining for Modeling Chiller Systems in Data Centers Debprakash Patnaik1 , Manish Marwah2 to the lack of "first principles" models of chiller systems. At the same time, they abound in data due into an actionable dynamic Bayesian network model of the system. This network is then used to explain observed system
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
Effective reuse of coupling technologies for Earth System Models.
??Designing and implementing coupled Earth System Models (ESMs) is a challenge for climate scientists and software engineers alike. Coupled models incorporate two or more independent� (more)
Dunlap, Ralph S.
Model for Energy Supply System Alternatives and their General...
System Alternatives and their General Environmental Impacts (MESSAGE) (Redirected from Model for Energy Supply System Alternatives and their General Environmental Impacts) Jump to:...
Panel 2, Modeling the Financial and System Benefits of Energy...
Modeling the Financial and System Benefits of Energy Storage Applications in Distribution Systems Patrick Balducci, Senior Economist, Pacific NW National Laboratory Hydrogen Energy...
Modeling of Diesel Exhaust Systems: A methodology to better simulate...
of Diesel Exhaust Systems: A methodology to better simulate soot reactivity Modeling of Diesel Exhaust Systems: A methodology to better simulate soot reactivity Discussed...
animal model system: Topics by E-print Network
and understanding biological systems Harel, David 2 A Dynamic Emotion Representation Model Within a Facial Animation System CiteSeer Summary: This paper presents a Dynamic...
animal model systems: Topics by E-print Network
Fires in facilities containing nuclear material have the potential to transport radioactive contamination throughout buildings and may lead to widespread downwind dispersal threatening both worker and public safety. Development and implementation of control strategies capable of providing adequate protection from fire requires realistic characterization of ventilation system response which, in turn, depends on an understanding of fire development timing and suppression system response. This paper discusses work in which published HEPA filter data was combined with CFAST fire modeling predictions to evaluate protective control strategies for a hypothetical DOE non-reactor nuclear facility. The purpose of this effort was to evaluate when safety significant active ventilation coupled with safety class passive ventilation might be a viable control strategy.
Coutts, D
Neutrons used to study model vascular systems
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohn CyberNeutrons used to study model vascular systems
ModelPlex: Verified Runtime Validation of Verified Cyber-Physical System Models
dynamics. In CPS, models are essential; but any model we could possibly build necessarily deviates from. In CPS, models are essential; but a cyber- physical systems (CPS) safe. Formal methods make strong guarantees about the system behavior
Platzer, André
Historical and idealized model experiments: an intercomparison of Earth system models of
Historical and idealized model experiments: an intercomparison of Earth system models: an intercomparison of Earth system models of intermediate complexity M. Eby1, A. J. Weaver1, K. Alexander1, K
Community Earth System Modeling Tutorial 12-16 July 2010
Community Earth System Modeling Tutorial 12-16 July 2010 National Center for Atmospheric Research, Boulder, CO APPLICATION DEADLINE: 15 April 2010 The Community Earth System Model (CESM) project
Fuel Cell System Improvement for Model-Based Diagnosis Analysis
Fuel Cell System Improvement for Model-Based Diagnosis Analysis Philippe Fiani & Michel Batteux of a model of a fuel cell system, in order to make it usable for model- based diagnosis methods. A fuel cell for the fuel cell stack but also for the system environment. In this paper, we present an adapted library which
Paris-Sud XI, Universit� de
Traffic flow models and service rules for complex production systems
Traffic flow models and service rules for complex production systems C. Ringhofer Abstract We emphasis is given to the implementation of service rules for complex systems, involving multiple product flow type models for complex production systems. Traffic flow models represent, in some sense
Ringhofer, Christian
Are natural microcosms useful model systems for ecology?
, but as complex and biologically realistic as other natural systems. Research to date combined with inherent of the power of model systems, and that natural MICROCOSMS (see Glossary) are worth considering as such modelsAre natural microcosms useful model systems for ecology? Diane S. Srivastava1 , Jurek Kolasa2 , Jan
Srivastava, Diane
Port-Hamiltonian systems: network modeling and control of nonlinear physical systems
Port-Hamiltonian systems: network modeling and control of nonlinear physical systems A.J. van der systems (multi-body systems, electrical circuits, electromechanical systems, ..) naturally leads to a geometrically defined class of systems, called port-Hamiltonian systems. These are Hamiltonian systems defined
Schaft, Arjan van der
Modeling Water Resource Systems under Climate Change: IGSM-WRS
Through the integration of a Water Resource System (WRS) component, the MIT Integrated Global System Model (IGSM) framework has been enhanced to study the effects of climate change on managed water-resource systems. ...
Strzepek, K.
Irreversible Thermodynamics and Smart Materials Systems Modelling. Example of
Irreversible Thermodynamics and Smart Materials Systems Modelling. Example of Magnetic Shape Memory mechanisms in smart materials. This procedure is applied to Magnetic Shape Memory Alloys actuators of complex active materials for smart systems. Keywords: Smart material systems, Actuator design
Paris-Sud XI, Université de
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).
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
Hybrid Systems and Biology. Continuous and Discrete Modeling for Systems Biology
Hybrid Systems and Biology. Continuous and Discrete Modeling for Systems Biology Luca Bortolussi1 (IGA) email@example.com Abstract. Hybrid Systems are dynamical systems presenting both dis- crete and continuous evolution. Hybrid Automata are a formal model for hybrid systems
Bortolussi, Luca
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.
Optimization of large-scale heterogeneous system-of-systems models.
Decision makers increasingly rely on large-scale computational models to simulate and analyze complex man-made systems. For example, computational models of national infrastructures are being used to inform government policy, assess economic and national security risks, evaluate infrastructure interdependencies, and plan for the growth and evolution of infrastructure capabilities. A major challenge for decision makers is the analysis of national-scale models that are composed of interacting systems: effective integration of system models is difficult, there are many parameters to analyze in these systems, and fundamental modeling uncertainties complicate analysis. This project is developing optimization methods to effectively represent and analyze large-scale heterogeneous system of systems (HSoS) models, which have emerged as a promising approach for describing such complex man-made systems. These optimization methods enable decision makers to predict future system behavior, manage system risk, assess tradeoffs between system criteria, and identify critical modeling uncertainties.
Parekh, Ojas; Watson, Jean-Paul; Phillips, Cynthia Ann; Siirola, John; Swiler, Laura Painton; Hough, Patricia Diane (Sandia National Laboratories, Livermore, CA); Lee, Herbert K. H. (University of California, Santa Cruz, Santa Cruz, CA); Hart, William Eugene; Gray, Genetha Anne (Sandia National Laboratories, Livermore, CA); Woodruff, David L. (University of California, Davis, Davis, CA)
201202 Reservoir System Modeling Technologies Conference
Algorithm to Incorporate the Columbia River Non-Power Flow Requirements in the BC Hydro Generalized Optimization Model - University of British Columbia Hydrologic Modeling...
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.
Aircraft AC Generators: Hybrid System Modeling and Simulation
--Integrated Drive Generators (IDGs) are the main source of electrical power for a number of critical systems1 Aircraft AC Generators: Hybrid System Modeling and Simulation Ashraf Tantawy, Student Member is a difficult task. dq0 models have been developed for design and control of generators, but these models
Koutsoukos, Xenofon D.
Cognitive Modeling Carsten Pfeffer Dynamical Systems Approaches to
Cognitive Modeling Carsten Pfeffer Dynamical Systems Approaches to Cognition Carsten Pfeffer Universität Bremen December 1st, 2014 December 1st, 2014 1/30 #12;Cognitive Modeling Carsten Pfeffer Introduction Physical Symbol Systems December 1st, 2014 2/30 #12;Cognitive Modeling Carsten Pfeffer
1Earth System Models of Intermediate Complexity: Closing the Gap in the Spectrum of Climate System
system models of intermediate complexity (EMICs) is discussed. It be-comes apparent that there exists a
Martin Claussen; Michel Crucifix; Thierry Fichefet; Andrey Ganopolski; Huges Goosse; Vladimir Petoukhov; Thomas Stocker; Peter Stone; Zhaoming Wang; Andrew Weaver; Susanne L. Weber
Performance Modeling and Access Methods for Temporal Database Management Systems
implementation issues. Database systems with temporal support maintain history data on line together with current. Performance Modeling and Access Methods for Temporal Database Management Systems TR86-018 August. #12;Performance Modeling and Access Methods for Temporal Database Management Systems by Ilsoo Ahn
North Carolina at Chapel Hill, University of
An investigation of simple nonsmooth power system models
Recently new notions of solutions and equilibrium points have been proposed for analyzing nonsmooth system descriptions. This paper observes certain new phenomena in simple nonsmooth power system models presenting a preliminary analysis. The results include an investigation of new Hopf-like bifurcations related to the birth of limit cycles in two dimensional non-Lipschitzian power system models.
Mantri, R.; Venkatasubramanian, V.; Saberi, A. [Washington State Univ., Pullman, WA (United States)
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
Port Hamiltonian Formulation of Infinite Dimensional Systems I. Modeling
Port Hamiltonian Formulation of Infinite Dimensional Systems I. Modeling Alessandro Macchelli the modeling of distributed parameter systems in port Hamilto- nian form are presented. The classical finite dimensional port Hamiltonian formulation of a dynamical system is generalized in order to cope
the research. Significance of the research Because the vascular system is under constant fluid mechanical stress as a fluid conduction system, mechanical forces influence...
Engineered Barrier System: Physical and Chemical Environment Model
The conceptual and predictive models documented in this Engineered Barrier System: Physical and Chemical Environment Model report describe the evolution of the physical and chemical conditions within the waste emplacement drifts of the repository. The modeling approaches and model output data will be used in the total system performance assessment (TSPA-LA) to assess the performance of the engineered barrier system and the waste form. These models evaluate the range of potential water compositions within the emplacement drifts, resulting from the interaction of introduced materials and minerals in dust with water seeping into the drifts and with aqueous solutions forming by deliquescence of dust (as influenced by atmospheric conditions), and from thermal-hydrological-chemical (THC) processes in the drift. These models also consider the uncertainty and variability in water chemistry inside the drift and the compositions of introduced materials within the drift. This report develops and documents a set of process- and abstraction-level models that constitute the engineered barrier system: physical and chemical environment model. Where possible, these models use information directly from other process model reports as input, which promotes integration among process models used for total system performance assessment. Specific tasks and activities of modeling the physical and chemical environment are included in the technical work plan ''Technical Work Plan for: In-Drift Geochemistry Modeling'' (BSC 2004 [DIRS 166519]). As described in the technical work plan, the development of this report is coordinated with the development of other engineered barrier system analysis model reports.
D. M. Jolley; R. Jarek; P. Mariner
Action Models: A Reliability Modeling Formalism for Fault-Tolerant Distributed Computing Systems
Action Models: A Reliability Modeling Formalism for Fault-Tolerant Distributed Computing Systems. Introduction Model-based evaluation of the reliability of distributed systems has traditionally required expert- proach to analyze the reliability of fault-tolerant distributed systems. More in particular, we want
Newcastle upon Tyne, University of
Causes and implications of persistent atmospheric carbon dioxide biases in Earth System Models
2013), The Community Earth System Model: A framework forsimu- lations from 15 Earth System Models (ESMs) � Most ESMsdioxide biases in Earth System Models, J. Geophys. Res.
SEMANTIC LEARNING MODEL AND EXTENDED STUDENT MODEL: TOWARDS AN AHAM-BASED ADAPTIVE SYSTEM Hend hypermedia systems, we distinguish AHAM as the most popular reference model which is based on the Dexter hoc integration of the AHAM's user's model as well as the IMS/LIP and IEEE/PAPI standards. KEY WORDS
-physical systems (CPS) safe. Formal methods make strong guarantees about the system behavior if accurate models of the sys- tem can be obtained, including models of the controller and of the physical dynamics. In CPS, models are essential; but any model we could possibly build necessarily deviates from the real world
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
Dependable Systems of Systems PCE4: Models of Organisational Failure1 IST-1999-11585
Dependable Systems of Systems PCE4: Models of Organisational Failure1 DSoS IST-1999 Report Version: Deliverable (PCE4) Report Preparation Date: 1 December 2002 Classification: Public Technology" Programme (1998- 2002) #12;Dependable Systems of Systems PCE4: Models of Organisational Failure2
Utility system integration and optimization models for nuclear power management
A nuclear power management model suitable for nuclear utility systems optimization has been developed for use in multi-reactor fuel management planning over periods of up to ten years. The overall utility planning model ...
Deaton, Paul Ferris
Model Ordinance for Siting of Wind-Energy Systems
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...
Energy Systems Modeling Symposium Co-Sponsored by
Knowlton School of Architecture, OSU Natural Gas Infrastructure Modeling: From Local Distribution to Transboundary Networks Bhavik Bakshi Chemical and Biomolecular Engineering, OSU The Role of Natural Capital Industrial and Systems Engineering, OSU Integrating Energy Modeling with the Environment, Economy & Society
Water Rights Analysis Package (WRAP) Modeling System Users Manual
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
Annotated Production Systems: A Model for Skill Acquisition
Annotated Production Systems provide a procedural model for skill acquisition by augmenting a production model of the skill with formal commentary describing plans, bugs, and interraltionships between various productions. ...
Goldstein, Ira P.
Modeling and Analysis of CSP Systems (Fact Sheet)
Fact sheet describing NREL CSP Program capabilities in the area of modeling and analysis of CSP systems: assessing the solar resource, predicting performance and cost, studying environmental impact, and developing modeling software packages.
A Framework for Modeling Strategy, Business Processes and Information Systems
A Framework for Modeling Strategy, Business Processes and Information Systems André Vasconcelos, an organization requires modeling its business processes. Business process modeling comprises the description is used not only in the business but also in the software domain. To represent the goal model, we propose
Temperature Modeling in Activated Sludge Systems: A Case Study
Temperature Modeling in Activated Sludge Systems: A Case Study Jacek Makinia, Scott A. Wells, Piotr Zima ABSTRACT: A model of temperature dynamics was developed as part of a general model of activated-sludge biochemical-energy inputs and other activated-sludge, heat-balance terms. All the models were tested under
Wells, Scott A.
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.
The Portsmouth gaseous diffusion plant (PORTS) is a uranium enrichment facility that was historically used to enrich uranium to levels that range from 2% to greater than 97%. The feed material for PORTS was obtained from the Paducah Gaseous Diffusion Plant (PGDP) that produced uranium in the form of UF6 that was enriched to about 1 to 2%. The enrichment process involves a multistage process by which gaseous UF{sub 6} passed through a diffusion barrier in each stage. The porous diffusion barrier in each stage retards the rate of the diffusion of the heavier {sup 238}U atoms relative to the diffusion of the lighter {sup 235}U atoms. By this process the product stream is slightly enriched by each stage of the process. Each stage consists of a compressor, converter and a motor. There are more than 4000 stages that are linked together with piping of various diameters to form the PORTS cascade. The cascade spans three interconnected buildings and comprises miles of piping, thousands of seals, converters, valves, motors, and compressors. During operation, PORTS process equipment contained UF{sub 6} gas with uranium enrichment that increased in the process stream from the first to the last stage in a known manner. Gaseous UF{sub 6} moving through the PORTS process equipment had potential to form deposits within the process equipment by several mechanisms, including solidification due to incorrect temperature and pressure conditions during the process, inleakage of atmospheric moisture that chemically reacts with UF{sub 6} to form hydrated uranyl fluoride solids, reduction reactions of UF{sub 6} with cascade metals, and UF{sub 6} condensation on the internal equipment surfaces. As a result, the process equipment of the PORTS contains a variable and unknown quantity of uranium with variable enrichment that has been deposited within the equipment during plant operations. The exact chemical form of this uranium is variable, although it is expected that the bulk of the material is of the form of uranyl fluoride that will become hydrated on exposure to moisture in air when the systems are no longer buffered. The deposit geometry and thickness is uncertain and variable. However, a reasonable assessment of the level of material holdup in this equipment is necessary to support decommissioning efforts. The assessment of nuclear material holdup in process equipment is a complex process that requires integration of process knowledge, nondestructive assay (NDA) measurements, and computer modeling to maximize capabilities and minimize uncertainty. The current report is focused on the use of computer modeling and simulation of NDA measurements.
Vinson, D.
Modeling technical systems Tasks 1 Franz Wotawa
: Solve the following 3 examples. For this purpose invent a model written in Modelica and simulate it not use the pre-defined models from the Modelica standard libraries. Simulate the filters using different
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-
Delivering Document Management Systems Through the ASP Model
Delivering Document Management Systems Through the ASP Model Borko Furht, Florida Atlantic, Boca Raton, Florida Introduction Electronic Document Management Systems (DMS) are commercial off and short records, such as name, address, account number, and social security number. Document management
Furht, Borko
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
Surrogate modeling for large-scale black-box systems
This research introduces a systematic method to reduce the complexity of large-scale blackbox systems for which the governing equations are unavailable. For such systems, surrogate models are critical for many applications, ...
Liem, Rhea Patricia
Fuel Cell Power Model for CHHP System Economics and Performance...
Fuel Cell Tri-Generation System Case Study using the H2A Stationary Model Stationary Fuel Cells: Overview of Hydrogen and Fuel Cell Activities Biogas Opportunities Roadmap...
Geothermal: Sponsored by OSTI -- NREL's System Advisor Model...
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet) Geothermal Technologies Legacy Collection HelpFAQ | Site Map | Contact Us | Admin Log On HomeBasic...
The Brief History and Future Development of Earth System Models...
Brief History and Future Development of Earth System Models: Resolution and Complexity Warren M. Washington National Center for Atmospheric Research NERSC Lecture Series at...
H2 -optimal model reduction of MIMO systems
Keyword Multivariable systems, model reduction, optimal H2 approximation, tangential interpolation. 1 Introduction. In this paper we will consider the problem of�...
Reference Model for Control and Automation Systems in Electrical...
Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason...
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
Simulation Models for Improved Water Heating Systems
Storage Water Heater .point for modeling storage water heaters. The algorithmsfired, natural draft storage water heater. Figure 1 shows a
Lutz, Jim
Storage Performance-Metrics and Benchmarks PETER M. CHEN AND DAVID A. PAmRSON, FELLOW, IEEE
evolution,disk arrays, and solid-state disks. Wethen describe, review,and run today'spopular I/O benchmarksOS, and an HP Series 700(Model 730)running HP-UX. Wealso describe two new appmaches to storage benchmarks component-further CPU performance improvements will be wasted [I]. In light of this developing trend toward
Chen, Peter M.
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 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
Fuzzy modelling of power system optimal load flow
In this paper, a fuzzy model for power system operation is presented. Uncertainties in loads and generations are modeled as fuzzy numbers. System behavior under known (while uncertain) injections is dealt with by a DC fuzzy power flow model. System optimal (while uncertain) operation is calculated with linear programming procedures where the problem nature and structure allows some efficient techniques such as Dantzig Wolfe decomposition and dual simplex to be used. Among the results, one obtains a fuzzy cost value for system operation and possibility distributions for branch power flows and power generations. Some risk analysis is possible, as system robustness and exposure indices can be derived and hedging policies can be investigated.
Miranda, V.; Saraiva, J.T. (FEUP, DEEC, Faculdade de Engenharia da Univ. do Porto, INESC, Inst. de Engenharia de Sistemas e Computadores, Lg de Mompilher 4000 Porto (PT))
Modeling for ship power system emulation
With the U.S. Navy's continued focus on Integrated Fight Thru Power (IFTP) there has been an ever increasing effort to ensure an electrical distribution system that maintains maximum capabilities in the event of system ...
Leghorn, Jeremy T. (Jeremy Thomas)
3.System Design Basis 2) MODELING
was added to the heat gain of the each tank, because propane circulation system does not affect the propane
Hong, Deog Ki
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.
Modeling Fluid Flow in Natural Systems, Model Validation and...
rock, flow is primarily in relatively sparse networks of fractures. Discrete fracture network (DFNs) models are an approach to representing flow in fractured rock that...
Generic solar photovoltaic system dynamic simulation model specification.
This document is intended to serve as a specification for generic solar photovoltaic (PV) system positive-sequence dynamic models to be implemented by software developers and approved by the WECC MVWG for use in bulk system dynamic simulations in accordance with NERC MOD standards. Two specific dynamic models are included in the scope of this document. The first, a Central Station PV System model, is intended to capture the most important dynamic characteristics of large scale (> 10 MW) PV systems with a central Point of Interconnection (POI) at the transmission level. The second, a Distributed PV System model, is intended to represent an aggregation of smaller, distribution-connected systems that comprise a portion of a composite load that might be modeled at a transmission load bus.
Ellis, Abraham; Behnke, Michael Robert; Elliott, Ryan Thomas
The design and implementation of an operational model evaluation system
An evaluation of an atmospheric transport and diffusion model`s operational performance typically involves the comparison of the model`s calculations with measurements of an atmospheric pollutant`s temporal and spatial distribution. These evaluations however often use data from a small number of experiments and may be limited to producing some of the commonly quoted statistics based on the differences between model calculations and the measurements. This paper presents efforts to develop a model evaluation system geared for both the objective statistical analysis and the more subjective visualization of the inter-relationships between a model`s calculations and the appropriate field measurement data.
Foster, K.T.
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
). It is clear that a complex model of phase transition has to be used in the steam generator or in the condenser
Mechanistic studies of coenzyme B?? model systems
malonate 4. 3. 1 Diethyl (benzyloxymethyl) methyl malonate 4. 3. 2 Diethyl (hydroxymethyl) methyl malonate - ~ ~ ~ ~ 4. 3. 3 Diethyl (t-butoxymethyl) methyl malonate 4. 3. 4 (R)-mono-ethyl (t-butoxymethyl) methyl malonic acid 37 . . 37 38 42 44 44... 73 ix LIST OF FIGURES FIGURE 1. 1 Biosynthesis of Succinyl Co A PAGE 1. 2 Coenzyme Btz 1. 3 Coenzyme Btz Mutase 1. 4 The Tada Model 1. 5 The Schrauzer Model 1. 6 The Halpern Model 1. 7 The Scott-Dowd Model 10 12 14 2. 1 Radical Kinetics...
Robinson, John Walter
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� (more)
Scotton, Francesco
Topics in Modeling, Control, and Implementation in Automotive Systems
on inclusion of the dynamics of load transfer, which are of importance in active yaw-control and rollTopics in Modeling, Control, and Implementation in Automotive Systems #12;#12;Topics in Modeling, Control, and Implementation in Automotive Systems Magnus Gäfvert Lund 2003 #12;To my Mother (1943 1995
Modeling Energy Conservation in a Completely Integrable Boussinesq system
Modeling Energy Conservation in a Completely Integrable Boussinesq system Alfatih Ali and Henrik Abstract This work presents a derivation of the energy density and energy flux of surface waves modeled recently proposed in [2]. In the present note, it is shown that the total energy of the wave system
Kalisch, Henrik
Proposal full title: Comprehensive Modelling of the Earth System for
.....................................................................................................................7 1.1.4 Earth System Model Ensemble-scale integrating project Work programme topics addressed: ENV.2008.1.1.4.1. New components in Earth System modelling for better climate projections Name of the coordinating person: Marco Giorgetta List
Couvreux, Fleur
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.
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
Thermodynamic Modeling of a Membrane Dehumidification System
............................................................... 157 4.5 Original and ARPA-E condition COP results for cooling tower approach of 5?F detailed simulation results for five evaporative cooling steps and membrane cooling combined system... evaporative cooling steps and membrane cooling combined system for ARPA-E inlet and outlet conditions ................................................................... 163 4.13 Cooling tower approach of 5?F detailed simulation results for five...
Bynum, John 1983-
Systems and methods for modeling and analyzing networks
The systems and methods described herein utilize a probabilistic modeling framework for reverse engineering an ensemble of causal models, from data and then forward simulating the ensemble of models to analyze and predict the behavior of the network. In certain embodiments, the systems and methods described herein include data-driven techniques for developing causal models for biological networks. Causal network models include computational representations of the causal relationships between independent variables such as a compound of interest and dependent variables such as measured DNA alterations, changes in mRNA, protein, and metabolites to phenotypic readouts of efficacy and toxicity.
Hill, Colin C; Church, Bruce W; McDonagh, Paul D; Khalil, Iya G; Neyarapally, Thomas A; Pitluk, Zachary W
Uncertainty and sensitivity analysis for photovoltaic system modeling.
We report an uncertainty and sensitivity analysis for modeling DC energy from photovoltaic systems. We consider two systems, each comprised of a single module using either crystalline silicon or CdTe cells, and located either at Albuquerque, NM, or Golden, CO. Output from a PV system is predicted by a sequence of models. Uncertainty in the output of each model is quantified by empirical distributions of each model's residuals. We sample these distributions to propagate uncertainty through the sequence of models to obtain an empirical distribution for each PV system's output. We considered models that: (1) translate measured global horizontal, direct and global diffuse irradiance to plane-of-array irradiance; (2) estimate effective irradiance from plane-of-array irradiance; (3) predict cell temperature; and (4) estimate DC voltage, current and power. We found that the uncertainty in PV system output to be relatively small, on the order of 1% for daily energy. Four alternative models were considered for the POA irradiance modeling step; we did not find the choice of one of these models to be of great significance. However, we observed that the POA irradiance model introduced a bias of upwards of 5% of daily energy which translates directly to a systematic difference in predicted energy. Sensitivity analyses relate uncertainty in the PV system output to uncertainty arising from each model. We found that the residuals arising from the POA irradiance and the effective irradiance models to be the dominant contributors to residuals for daily energy, for either technology or location considered. This analysis indicates that efforts to reduce the uncertainty in PV system output should focus on improvements to the POA and effective irradiance models.
Hansen, Clifford W.; Pohl, Andrew Phillip; Jordan, Dirk [National Center for Photovoltaics, National Renewable Energy Laboratory, Golden, CO] [National Center for Photovoltaics, National Renewable Energy Laboratory, Golden, CO
Multiscale modeling of clay-water systems
The engineering properties of soils are highly affected by clay content and clay-water interactions. However, existing macro-scale continuum models have no length scale to describe the evolution of the clay microstructure ...
Ebrahimi, Davoud
and Simulation of a Smart Water Heater. � In Workshop inFreezers, Furnaces, Water Heaters, Room and Central AirNovember. ADL. 1982b. Water Heater Computer Model User�s
BAYESIAN RELIABILITY MODELING FOR MASKED SYSTEM LIFETIME DATA Lynn KUO \\Lambda Department to fail. The objective is to make inferences for the reliability of the components. In this paper we Title: Reliability Inference for Masked System Lifetime Data. 1. Introduction In the masked system
Kuo, Lynn
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability
Bayesian Networks and Evidence Theory to Model Complex Systems Reliability Ch. SIMON, Ph. WEBER, email@example.com Abstract-- This paper deals with the use of Bayesian Net- works to compute system reliability of complex systems un- der epistemic uncertainty. In the context of incompleteness of reliability data
On the relation between Interpreted Systems and Kripke Models
systems, a sim- pli ed notion of Interpreted Systems, as semantic structures for reasoning about knowledge62]) and later used in Distributed Computing Theory by Halpern and Moses ( HF85]) and others proposed by Fagin, Halpern, Moses and Vardi HF85] to model distributed systems. The growing interest
Ryan, Mark
A Hierarchical Model for Estimating the Reliability of Complex Systems
an approximation to the joint posterior distribution on the total system reliability was obtained. Many reliability or bounding moments of the system reliability posterior distribution (Cole (1975), Mastran (1976), DostalA Hierarchical Model for Estimating the Reliability of Complex Systems Valen E. Johnson, Todd L
Reese, Shane
Integrated Modeling and Design of Nonlinear Control Systems
Integrated Modeling and Design of Nonlinear Control Systems Gilmer L. Blankenship Harry G. Kwatny building, simulation, control system design and real time implementation. Software Environment Overview: A summary description of a symbolic computing environment for nonlinear control system design is provided
Kwatny, Harry G.
A conceptual model for particle systems animation
Particle systems represent a technique for creating a special class of computer generated images. This class of imagery would be difficult or impossible to create using traditional surface based representations found in current computer animation...
Flaherty, Eric Wayne
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.
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
Viable System Model approach for holonic product-driven manufacturing systems
Viable System Model approach for holonic product-driven manufacturing systems Carlos Herrera , Sana manuscript, published in "1st Workshop on Service Orientation in Holonic and Multi Agent Manufacturing
Boyer, Edmond
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 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
Design theoretic analysis of three system modeling frameworks.
This paper analyzes three simulation architectures from the context of modeling scalability to address System of System (SoS) and Complex System problems. The paper first provides an overview of the SoS problem domain and reviews past work in analyzing model and general system complexity issues. It then identifies and explores the issues of vertical and horizontal integration as well as coupling and hierarchical decomposition as the system characteristics and metrics against which the tools are evaluated. In addition, it applies Nam Suh's Axiomatic Design theory as a construct for understanding coupling and its relationship to system feasibility. Next it describes the application of MATLAB, Swarm, and Umbra (three modeling and simulation approaches) to modeling swarms of Unmanned Flying Vehicle (UAV) agents in relation to the chosen characteristics and metrics. Finally, it draws general conclusions for analyzing model architectures that go beyond those analyzed. In particular, it identifies decomposition along phenomena of interaction and modular system composition as enabling features for modeling large heterogeneous complex systems.
McDonald, Michael James
ALVW: an alife behaviour modelling system
´n en Ingenieri´a de Arago´n, Centro Polite´cnico Superior Universidad de Zaragoza, Zaragoza, Spain the environment and between them. Through the paper, the reader will find the necessary details to understand: modelling behaviour for synthetic cockroaches within his own environment. Findings A detailed example
Gutierrez, Diego
A nuclear data acquisition system flow control model
A general Petri Net representation of a nuclear data acquisition system model is presented. This model provides for the unique requirements of a nuclear data acquisition system including the capabilities of concurrently acquiring asynchronous and synchronous data, of providing multiple priority levels of flow control arbitration, and of permitting multiple input sources to reside at the same priority without the problem of channel lockout caused by a high rate data source. Finally, a previously implemented gamma camera/physiological signal data acquisition system is described using the models presented.
Hack, S.N.
CESMCommunity Earth System Model CSL Accomplishments Report
tropical cyclone structures and frequency statistics as well as propagating systems through the central cyclones, particularly its path and minimum low pressure, at several days lead time. High resolution paradigm beyond the artificial separation of the shallow and deep convection. This has lead to extensive
Power-Invariant Magnetic System Modeling
properties and characteristics. Progress in magnetism was made after Oersted discovered in 1820 that a magnetic field could be generated with an electric current. Famous scientists, including Gauss, Maxwell and Faraday, tackled the phenomenon of magnetism... flows in the material. Meanwhile, in magnetic circuits, the reluctance is a measure of magnetic energy storage rather than being a measure of magnetic energy dissipation. 2. The Permeance-Capacitor Model In 1969, Dr. R.W. Buntenbach from...
Gonzalez Dominguez, Guadalupe Giselle
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.
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
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 requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. 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. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.
A New Model to Simulate Energy Performance of VRF Systems
This paper presents a new model to simulate energy performance of variable refrigerant flow (VRF) systems in heat pump operation mode (either cooling or heating is provided but not simultaneously). The main improvement of the new model is the introduction of the evaporating and condensing temperature in the indoor and outdoor unit capacity modifier functions. The independent variables in the capacity modifier functions of the existing VRF model in EnergyPlus are mainly room wet-bulb temperature and outdoor dry-bulb temperature in cooling mode and room dry-bulb temperature and outdoor wet-bulb temperature in heating mode. The new approach allows compliance with different specifications of each indoor unit so that the modeling accuracy is improved. The new VRF model was implemented in a custom version of EnergyPlus 7.2. This paper first describes the algorithm for the new VRF model, which is then used to simulate the energy performance of a VRF system in a Prototype House in California that complies with the requirements of Title 24 ? the California Building Energy Efficiency Standards. The VRF system performance is then compared with three other types of HVAC systems: the Title 24-2005 Baseline system, the traditional High Efficiency system, and the EnergyStar Heat Pump system in three typical California climates: Sunnyvale, Pasadena and Fresno. Calculated energy savings from the VRF systems are significant. The HVAC site energy savings range from 51 to 85percent, while the TDV (Time Dependent Valuation) energy savings range from 31 to 66percent compared to the Title 24 Baseline Systems across the three climates. The largest energy savings are in Fresno climate followed by Sunnyvale and Pasadena. The paper discusses various characteristics of the VRF systems contributing to the energy savings. It should be noted that these savings are calculated using the Title 24 prototype House D under standard operating conditions. Actual performance of the VRF systems for real houses under real operating conditions will vary.
Hong, Tianzhen; Pang, Xiufeng; Schetrit, Oren; Wang, Liping; Kasahara, Shinichi; Yura, Yoshinori; Hinokuma, Ryohei
System Identification and the Modeling of Sailing Yachts
This research represents an exploration of sailing yacht dynamics with full-scale sailing motion data, physics-based models, and system identification techniques. The goal is to provide a method of obtaining and validating ...
Legursky, Katrina
Basic Integrative Models for Offshore Wind Turbine Systems
This research study developed basic dynamic models that can be used to accurately predict the response behavior of a near-shore wind turbine structure with monopile, suction caisson, or gravity-based foundation systems. The marine soil conditions...
Aljeeran, Fares
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.
UNCORRECTED 2 Stochastic adaptive control model for traffic signal systems
UNCORRECTED PROOF 1 2 Stochastic adaptive control model for traffic signal systems 3 X.-H. Yu a,1 , W.W. Recker b,* 4 a Department of Electrical Engineering, California Polytechnic State University
Detwiler, Russell
Robust model-based fault diagnosis for chemical process systems
diagnosis systems, which use limited information about the process model to robustly detect, discriminate, and reconstruct instrumentation faults. Broadly, the proposed method consists of a novel nonlinear state and parameter estimator coupled with a fault...
Rajaraman, Srinivasan
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.
A Simulation Model for Evaluating Distributed Systems Dependability
In this paper we present a new simulation model designed to evaluate the dependability in distributed systems. This model extends the MONARC simulation model with new capabilities for capturing reliability, safety, availability, security, and maintainability requirements. The model has been implemented as an extension of the multithreaded, process oriented simulator MONARC, which allows the realistic simulation of a wide-range of distributed system technologies, with respect to their specific components and characteristics. The extended simulation model includes the necessary components to inject various failure events, and provides the mechanisms to evaluate different strategies for replication, redundancy procedures, and security enforcement mechanisms, as well. The results obtained in simulation experiments presented in this paper probe that the use of discrete-event simulators, such as MONARC, in the design and development of distributed systems is appealing due to their efficiency and scalability.
Dobre, Ciprian; Cristea, Valentin
The PamCase Machine
Cutts,Q.I. Connor,R.C.H. Morrison,R. Fully Integrated Data Environments, (Atkinson, M.P. & Welland, R.C., Eds.) pp 346-364 Springer
Cutts, Q.I.
Interactive modeling and analysis of intruder detection systems
INTERACTIVE MODELING AND ANALYSIS OF INTRUDER DETECTION SYSTEMS A Thesis by MICHAEL WILLIAM JONES Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER... OF SCIENCE December 1991 Major Subject: Industrial Engineering INTERACTIVE MODELING AND ANALYSIS OF INTRUDER DETECTION SYSTEMS A Thesis by MICHAEL WILLIAM JONES Approved as to style and content by: Robert E . Shannon (Co ? Chair of Committee) Kav...
Jones, Michael William
Simple model of photo acoustic system for greenhouse effect
The simple theoretical basis for photo acoustic (PA) system for studying infrared absorption properties of greenhouse gases is constructed. The amplitude of sound observed in PA depends on the modulation frequency of light pulse. Its dependence can be explained by our simple model. According to this model, sound signal has higher harmonics. The theory and experiment are compared in third and fifth harmonics by spectrum analysis. The theory has the analogy with electric circuits. This analogy helps students for understanding the PA system.
Fukuhara, Akiko; Ogawa, Naohisa
Systems Advisor Model | Department of Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up from the GridwiseSiteDepartmentChallengeCompliance7/109 HistoricalSystem
Engineered Barrier System Degradation, Flow, and Transport Process Model Report
The Engineered Barrier System Degradation, Flow, and Transport Process Model Report (EBS PMR) is one of nine PMRs supporting the Total System Performance Assessment (TSPA) being developed by the Yucca Mountain Project for the Site Recommendation Report (SRR). The EBS PMR summarizes the development and abstraction of models for processes that govern the evolution of conditions within the emplacement drifts of a potential high-level nuclear waste repository at Yucca Mountain, Nye County, Nevada. Details of these individual models are documented in 23 supporting Analysis/Model Reports (AMRs). Nineteen of these AMRs are for process models, and the remaining 4 describe the abstraction of results for application in TSPA. The process models themselves cluster around four major topics: ''Water Distribution and Removal Model, Physical and Chemical Environment Model, Radionuclide Transport Model, and Multiscale Thermohydrologic Model''. One AMR (Engineered Barrier System-Features, Events, and Processes/Degradation Modes Analysis) summarizes the formal screening analysis used to select the Features, Events, and Processes (FEPs) included in TSPA and those excluded from further consideration. Performance of a potential Yucca Mountain high-level radioactive waste repository depends on both the natural barrier system (NBS) and the engineered barrier system (EBS) and on their interactions. Although the waste packages are generally considered as components of the EBS, the EBS as defined in the EBS PMR includes all engineered components outside the waste packages. The principal function of the EBS is to complement the geologic system in limiting the amount of water contacting nuclear waste. A number of alternatives were considered by the Project for different EBS designs that could provide better performance than the design analyzed for the Viability Assessment. The design concept selected was Enhanced Design Alternative II (EDA II).
E.L. Hardin
System Identification and Modelling of a High Performance Hydraulic Actuator
System Identification and Modelling of a High Performance Hydraulic Actuator Benoit Boulet, Laeeque with the experimental identification and modelling of the nonlinear dynamics ofa high performance hydraulic actuator. The actuator properties and performance are also discussed. 1 Introduction Hydraulic actuation used to be
Hayward, Vincent
Service-Oriented Modelling of Automotive Systems Laura Bocchi
Service-Oriented Modelling of Automotive Systems Laura Bocchi Department of Computer email@example.com ABSTRACT We discuss the suitability of service-oriented computing for the automotive domain. We present a formal high-level language in which complex automotive activities can be modelled in terms of core
Bocchi, Laura
Model Reduction for Power Electronics Systems with Multiple Heat Sources
Model Reduction for Power Electronics Systems with Multiple Heat Sources A. Augustin, T. Hauck, B demonstrates the model order re- duction procedures applied to semiconductor devices with multiple heat sources. The approach is demonstrated for a device with nine heat sources where some of them are perma- nently active
MODELS AND METRICS FOR ENERGY-EFFICIENT COMPUTER SYSTEMS A DISSERTATION SUBMITTED TO THE DEPARTMENT promising energy-efficient technolo- gies, and models to understand the effects of resource utilization decisions on power con- sumption. To facilitate energy-efficiency improvements, this dissertation presents
Kozyrakis, Christos
Biological Development model for the Design of Robust Digital System
Biological Development model for the Design of Robust Digital System Heng Liu Doctor of Philosophy and Keywords i Abstract This thesis presents a biologically-inspired developmental model for the design. The methods presented have been applied to produce a self-repairing two bit multiplier and an autonomous robot
Fernandez, Thomas
Particle Systems for Adaptive, Isotropic Meshing of CAD Models
Particle Systems for Adaptive, Isotropic Meshing of CAD Models Jonathan R. Bronson, Joshua A adaptive triangular surface and tetrahedral volume meshes from CAD models. Input shapes are treated. These particles reach a good distribution by minimizing an energy computed in 3D world space, with movements
Utah, University of
1 IMPROVEMENTS IN MODELLING DISSOLVED OXYGEN IN ACTIVATED SLUDGE SYSTEMS Jacek Makinia*, Scott A in a full-scale activated sludge reactor. The Activated Sludge Model No. 1 was used to describe for dissolved oxygen. KEYWORDS Activated sludge; dispersion; dissolved oxygen dynamics; mass transfer
An Introduction to Semantic Modeling for Logistical Systems
Infrastructure � A Method for Networking Physical Objects," MIT Smart World Conference. � BROCK, D.L. 2003. "The. "Developing and Implementing a Production Planning DSS for CTI Using Structured Modeling." Interfaces 31 models may exist in different host systems and organizations. #12;A Visualization of M #12;Grid Computing
Brock, David
Adaptive Methods for Modelling Transport Processes in Fractured Subsurface Systems
discrete Galerkin method applying finite differences for the discretization in time and the StreamlineAdaptive Methods for Modelling Transport Processes in Fractured Subsurface Systems 3rdadaptive methods for modelling transport processes in fractured rock. As a simplification, ideal tracers
Cirpka, Olaf Arie
Water Rights Analysis Package (WRAP) Daily Modeling System
-2011) Contract 582-12-10220 (2011-2013) Technical Report No. 430 Texas Water Resources Institute The Texas A&M University System College Station, Texas 77843-2118 August 2012 ii iii TABLE OF CONTENTS Chapter 1 Water Rights Analysis... Package (WRAP) Modeling System .......................... 1 WRAP Documentation ..................................................................................................... 1 WRAP Programs...
Wurbs, R.; Hoffpauir, R.
Cost Modeling and Design Techniques for Integrated Package Distribution Systems
Cost Modeling and Design Techniques for Integrated Package Distribution Systems Karen R. Smilowitz and Carlos F. Daganzo December 23, 2005 Abstract Complex package distribution systems are designed using-scale integrated distribution networks. While the network design problem is quite complex, we demonstrate
Smilowitz, Karen
Cost Modeling and Design Techniques for Integrated Package Distribution Systems Karen R. Smilowitz and Carlos F. Daganzo June 27, 2002 Abstract Complex package distribution systems are designed using idealizations of network geometries, operating costs, demand and customer distributions, and routing patterns
Daganzo, Carlos F.
Comparison of Building Energy Modeling Programs: HVAC Systems
LBNL-6432E Comparison of Building Energy Modeling Programs: HVAC Systems Xin Zhou1 , Tianzhen Hong2 programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E. This is a joint effort between purposes, BEMPs can be divided into load modules and HVAC system modules. This technical report
Dynamic wind turbine models in power system simulation tool
Dynamic wind turbine models in power system simulation tool DIgSILENT Anca D. Hansen, Florin Iov Iov, Poul Sørensen, Nicolaos Cutululis, Clemens Jauch, Frede Blaabjerg Title: Dynamic wind turbine system simulation tool PowerFactory DIgSILENT for different wind turbine concepts. It is the second
17 MODELING FORENSIC EVIDENCE SYSTEMS USING DESIGN SCIENCE Colin Armstrong Helen Armstrong School an overview of the application of design science research to the tactical management of forensic evidence-technical information systems research in regard to processing forensic evidence. The discussion then presents
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)
UCSF Chimera, MODELLER, and IMP: An integrated modeling system Zheng Yang a
UCSF Chimera, MODELLER, and IMP: An integrated modeling system Zheng Yang a , Keren Lasker b we present the integration of several modeling tools into UCSF Chimera. These include com- parative probabilities and local interactions by Chimera. �? 2011 Published by Elsevier Inc. 1. Introduction Proteins
Sali, Andrej
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.
Embedded Real-Time Systems Electrical Model Quad Rotor UAV
Sys (2013-2014) #12;10 System SW view joystick QR PC link PC lift roll pitch yaw sensorsES joystickIn4073 Embedded Real-Time Systems Electrical Model Quad Rotor UAV #12;2 TE0300 FPGA System HW view), pitch rate (M), and yaw rate (N) (see qrsim for example!) x z y engine 4 engine 3 engine 2 engine 1 In
Langendoen, Koen
EMTP modeling of CIGRE benchmark based HVDC transmission system operating with weak AC systems
An EMTP based study of a CIGRE benchmark based HVDC system operating with weak ac systems is carried out. The modeled system provides a starting point for (a) educators teaching HVDC transmission courses and (b) for utility planners to develop their own low-cost dedicated digital simulators for training purposes. In this paper, modeling details of the ac-dc system, dc converters and control are presented. To validate the control schemes presented, the HVDC system is tested under ac-dc fault conditions. Results obtained from an EMTP-based study under these fault conditions are also presented in this paper.
Sood, V.K. [Hydro-Quebec, Varennes, Quebec (Canada); Khatri, V.; Jin, H. [Concordia Univ., Montreal, Quebec (Canada). Dept. of Electrical and Computer Engineering
Computer Models for IRIS Control System Transient Analysis
This report presents results of the Westinghouse work performed under Task 3 of this Financial Assistance Award and it satisfies a Level 2 Milestone for the project. Task 3 of the collaborative effort between ORNL, Brazil and Westinghouse for the International Nuclear Energy Research Initiative entitled �Development of Advanced Instrumentation and Control for an Integrated Primary System Reactor� focuses on developing computer models for transient analysis. This report summarizes the work performed under Task 3 on developing control system models. The present state of the IRIS plant design � such as the lack of a detailed secondary system or I&C system designs � makes finalizing models impossible at this time. However, this did not prevent making considerable progress. Westinghouse has several working models in use to further the IRIS design. We expect to continue modifying the models to incorporate the latest design information until the final IRIS unit becomes operational. Section 1.2 outlines the scope of this report. Section 2 describes the approaches we are using for non-safety transient models. It describes the need for non-safety transient analysis and the model characteristics needed to support those analyses. Section 3 presents the RELAP5 model. This is the highest-fidelity model used for benchmark evaluations. However, it is prohibitively slow for routine evaluations and additional lower-fidelity models have been developed. Section 4 discusses the current Matlab/Simulink model. This is a low-fidelity, high-speed model used to quickly evaluate and compare competing control and protection concepts. Section 5 describes the Modelica models developed by POLIMI and Westinghouse. The object-oriented Modelica language provides convenient mechanisms for developing models at several levels of detail. We have used this to develop a high-fidelity model for detailed analyses and a faster-running simplified model to help speed the I&C development process. Section 6 describes an ACSL model that Westinghouse started but suspended developing for the moment. ACSL is an old simulation language that Westinghouse used on many projects. It may (or may not) offer some advantages during the later stages of detailed plant design and analysis, but supporting the ACSL model does not appear to be necessary at this time. Section 7 summarizes our expectations for future development.
Gary D. Storrick; Bojan Petrovic; Luca Oriani
Reliability Modeling of Cyber-Physical Electric Power Systems: A System-Theoretic Framework
1 Reliability Modeling of Cyber-Physical Electric Power Systems: A System-Theoretic Framework systematic reliability analysis tools to address planning and operation challenges of future electric power and the introduction of new sources of uncertainty in systems already inherently complex. Current reliability analysis
Liberzon, Daniel
Cyber-Physical System Requirements -A Model Driven Approach Cyber-physical systems (CPS) networked
systems such as infusion pumps. Complete and consistent requirements are central to analysis. A generic patient controlled analgesia (GPCA) infusion pump system was used as a case example to provide: Generic Patient Controlled Analgesia Infusion Pump System. Figure: Infusion Pump Plant Model. Figure
Minnesota, University of
Modeling Offgas Systems for the Hanford Waste Treatment Plant
To augment steady-state design calculations, dynamic models of three offgas systems that will be used in the Waste Treatment Plant now under construction at the Hanford Site were developed using Aspen Custom Modeler{trademark}. The offgas systems modeled were those for the High Level Waste (HLW) melters, Low Activity Waste (LAW) melters and HLW Pulse Jet Ventilation (PJV) system. The models do not include offgas chemistry but only consider the two major species in the offgas stream which are air and water vapor. This is sufficient to perform material and energy balance calculations that accurately show the dynamic behavior of gas pressure, temperature, humidity and flow throughout the systems. The models are structured to perform pressure drop calculations across the various unit operations using a combination of standard engineering calculations and empirical data based correlations for specific pieces of equipment. The models include process controllers, gas ducting, control valves, exhaust fans and the offgas treatment equipment. The models were successfully used to analyze a large number of operating scenarios including both normal and off-normal conditions.
Smith, Frank G., III
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
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.
MacroMacro--SystemSystem--Model Overview:Model Overview: DOE H2 Analysis WorkshopDOE H2 Analysis Workshop
Cell Cost Models Vehicle Selection Model Gasoline Vehicle Cost Models Environmental Performance Model to analyze components and subsystems of an eventual hydrogen economy, a modeling architecture does not exist that addresses the overarching hydrogen fuel infrastructure as a "system." Such a macro-system model is critical
A new tool for accelerator system modeling and analysis
A novel computer code is being developed to generate system level designs of radiofrequency ion accelerators. The goal of the Accelerator System Model (ASM) code is to create a modeling and analysis tool that is easy to use, automates many of the initial design calculations, supports trade studies used in assessing alternate designs and yet is flexible enough to incorporate new technology concepts as they emerge. Hardware engineering parameters and beam dynamics are modeled at comparable levels of fidelity. Existing scaling models of accelerator subsystems were sued to produce a prototype of ASM (version 1.0) working within the Shell for Particle Accelerator Related Codes (SPARC) graphical user interface. A small user group has been testing and evaluating the prototype for about a year. Several enhancements and improvements are now being developed. The current version (1.1) of ASM is briefly described and an example of the modeling and analysis capabilities is illustrated.
Gillespie, G.H.; Hill, B.W. [G.H. Gillespie Associates, Inc., Del Mar, CA (United States); Jameson, R.A. [Los Alamos National Lab., NM (United States)
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.
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
Results from modeling and simulation of chemical downstream etch systems
This report summarizes modeling work performed at Sandia in support of Chemical Downstream Etch (CDE) benchmark and tool development programs under a Cooperative Research and Development Agreement (CRADA) with SEMATECH. The Chemical Downstream Etch (CDE) Modeling Project supports SEMATECH Joint Development Projects (JDPs) with Matrix Integrated Systems, Applied Materials, and Astex Corporation in the development of new CDE reactors for wafer cleaning and stripping processes. These dry-etch reactors replace wet-etch steps in microelectronics fabrication, enabling compatibility with other process steps and reducing the use of hazardous chemicals. Models were developed at Sandia to simulate the gas flow, chemistry and transport in CDE reactors. These models address the essential components of the CDE system: a microwave source, a transport tube, a showerhead/gas inlet, and a downstream etch chamber. The models have been used in tandem to determine the evolution of reactive species throughout the system, and to make recommendations for process and tool optimization. A significant part of this task has been in the assembly of a reasonable set of chemical rate constants and species data necessary for successful use of the models. Often the kinetic parameters were uncertain or unknown. For this reason, a significant effort was placed on model validation to obtain industry confidence in the model predictions. Data for model validation were obtained from the Sandia Molecular Beam Mass Spectrometry (MBMS) experiments, from the literature, from the CDE Benchmark Project (also part of the Sandia/SEMATECH CRADA), and from the JDP partners. The validated models were used to evaluate process behavior as a function of microwave-source operating parameters, transport-tube geometry, system pressure, and downstream chamber geometry. In addition, quantitative correlations were developed between CDE tool performance and operation set points.
Meeks, E.; Vosen, S.R.; Shon, J.W.; Larson, R.S.; Fox, C.A.; Buchenauer
Some building energy codes now require the incorporation of daylight into buildings and automatic photosensor-controlled switching or dimming of the electric lighting system in areas that receive daylight. This paper describes enhancements to the open-source Daysim daylight analysis software that permit users to model a photosensor control system as it will perform in a real space, considering the directional sensitivity of the photosensor, its mounting position, the space and daylight aperture geometry, window shading configuration; the electric lighting equipment and control zones; exterior obstructions; and site weather conditions. System output includes assessment of the daylight distribution in a space throughout the year, the photosensor�s ability to properly track the daylight and modify electric lighting system output, and the energy savings provided by the modeled control system. The application of daylight coefficients permits annual simulations to be conducted efficiently using hourly or finer weather data time increments. 1
S. Jain; R. R. Creasey; J. Himmelspach; K. P. White; M. Fu; Richard G. Mistrick
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.
Changes in soil organic carbon storage predicted by Earth system models during the 21st century
carbon changes in Earth system models K. E. O. Todd-Brown etcarbon changes in Earth system models K. E. O. Todd-Brown etcarbon changes in Earth system models K. E. O. Todd-Brown et
Planetary systems based on a quantum-like model
Planetary systems have their origin in the gravitational collapse of a cloud of gas and dust. Through a process of accretion, is formed a massive star and a disk of planetesimals orbiting the star. Using a formalism analogous to quantum mechanics (quantum-like model), the star-planetesimal system is described and the flow quantizing the gravitational field theoretical model parameters are obtained. Goodness of fit (chi-square) of the observed data with model quantum-like, to the solar system, satellites, exoplanets and protoplanetary disk around HL Tauri is determined. Shows that the radius, eccentricity, energy, angular momentum and orbital inclination of planetary objects formed take discrete values depending only on the mass star.
T., N Poveda; C, N Y Buitrago
Development of a system model for advanced small modular reactors.
This report describes a system model that can be used to analyze three advance small modular reactor (SMR) designs through their lifetime. Neutronics of these reactor designs were evaluated using Monte Carlo N-Particle eXtended (MCNPX/6). The system models were developed in Matlab and Simulink. A major thrust of this research was the initial scoping analysis of Sandia's concept of a long-life fast reactor (LLFR). The inherent characteristic of this conceptual design is to minimize the change in reactivity over the lifetime of the reactor. This allows the reactor to operate substantially longer at full power than traditional light water reactors (LWRs) or other SMR designs (e.g. high temperature gas reactor (HTGR)). The system model has subroutines for lifetime reactor feedback and operation calculations, thermal hydraulic effects, load demand changes and a simplified SCO2 Brayton cycle for power conversion.
Lewis, Tom Goslee,; Holschuh, Thomas Vernon,
Physical Modeling of Scaled Water Distribution System Networks.
Threats to water distribution systems include release of contaminants and Denial of Service (DoS) attacks. A better understanding, and validated computational models, of the flow in water distribution systems would enable determination of sensor placement in real water distribution networks, allow source identification, and guide mitigation/minimization efforts. Validation data are needed to evaluate numerical models of network operations. Some data can be acquired in real-world tests, but these are limited by 1) unknown demand, 2) lack of repeatability, 3) too many sources of uncertainty (demand, friction factors, etc.), and 4) expense. In addition, real-world tests have limited numbers of network access points. A scale-model water distribution system was fabricated, and validation data were acquired over a range of flow (demand) conditions. Standard operating variables included system layout, demand at various nodes in the system, and pressure drop across various pipe sections. In addition, the location of contaminant (salt or dye) introduction was varied. Measurements of pressure, flowrate, and concentration at a large number of points, and overall visualization of dye transport through the flow network were completed. Scale-up issues that that were incorporated in the experiment design include Reynolds number, pressure drop across nodes, and pipe friction and roughness. The scale was chosen to be 20:1, so the 10 inch main was modeled with a 0.5 inch pipe in the physical model. Controlled validation tracer tests were run to provide validation to flow and transport models, especially of the degree of mixing at pipe junctions. Results of the pipe mixing experiments showed large deviations from predicted behavior and these have a large impact on standard network operations models.3
O'Hern, Timothy J.; Hammond, Glenn Edward; Orear, Leslie ,; van Bloemen Waanders, Bart G.; Paul Molina; Ross Johnson
Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water Resources
Graduate Opportunities in Earth Systems Modeling and Climate Impacts on Hydrology and Water research assistantships available in the general area of earth systems modeling and climate impacts
Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation
Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation Matthew J developed a framework for the composition, execution and management of integrated Earth system models
Multiobjective tuning of Grid-enabled Earth System Models using a Non-dominated Sorting Genetic
-dominated sorting genetic algorithm (NSGA-II) to the GENIE-1 Earth System Model (ESM). Twelve model parameters are
A. R. Price; I. I. Voutchkov; G. E. Pound; N. R. Edwards; T. M. Lenton; S. J. Cox; The Genie Team
Reliability modeling and evaluation of HVDC power transmission systems
The objective of this paper is to present an improved computational method for evaluating the reliability indices of HVdc transmission systems. The developed models and computational techniques are described. These can be used to simulate the operational practices and characteristics of a system under study efficiently and realistically. This method is based on the failure modes and effects analysis and uses the event tree method and the minimal cut set approach to represent the system's operational behavior and deduce the appropriate system's failure modes. A set of five reliability indices is evaluated for each output node being analyzed together with the probability and frequency of encountering particular regions of system performance levels. The analysis of an assumed HVdc bipolar transmission system is also included.
Dialynas, E.N.; Koskolos, N.C. (National Technical Univ., Athens (Greece). Dept. of Electrical and Computer Engineering)
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.
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.
Process modeling for the Integrated Thermal Treatment System (ITTS) study
This report describes the process modeling done in support of the integrated thermal treatment system (ITTS) study, Phases 1 and 2. ITTS consists of an integrated systems engineering approach for uniform comparison of widely varying thermal treatment technologies proposed for treatment of the contact-handled mixed low-level wastes (MLLW) currently stored in the U.S. Department of Energy complex. In the overall study, 19 systems were evaluated. Preconceptual designs were developed that included all of the various subsystems necessary for a complete installation, from waste receiving through to primary and secondary stabilization and disposal of the processed wastes. Each system included the necessary auxiliary treatment subsystems so that all of the waste categories in the complex were fully processed. The objective of the modeling task was to perform mass and energy balances of the major material components in each system. Modeling of trace materials, such as pollutants and radioactive isotopes, were beyond the present scope. The modeling of the main and secondary thermal treatment, air pollution control, and metal melting subsystems was done using the ASPEN PLUS process simulation code, Version 9.1-3. These results were combined with calculations for the remainder of the subsystems to achieve the final results, which included offgas volumes, and mass and volume waste reduction ratios.
Liebelt, K.H.; Brown, B.W.; Quapp, W.J.
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.
System Modeling of Gas Engine Driven Heat Pump
To improve the system performance of the GHP, modeling and experimental study has been made by using desiccant system in cooling operation (particularly in high humidity operations) and suction line waste heat recovery to augment heating capacity and efficiency. The performance of overall GHP system has been simulated by using ORNL Modulating Heat Pump Design Software, which is used to predict steady-state heating and cooling performance of variable-speed vapor compression air-to-air heat pumps for a wide range of operational variables. The modeling includes: (1) GHP cycle without any performance improvements (suction liquid heat exchange and heat recovery) as a baseline (both in cooling and heating mode), (2) the GHP cycle in cooling mode with desiccant system regenerated by waste heat from engine incorporated, (3) GHP cycle in heating mode with heat recovery (recovered heat from engine). According to the system modeling results, by using desiccant system regenerated by waste heat from engine, the SHR can be lowered to 40%. The waste heat of the gas engine can boost the space heating efficiency by 25% in rated operating conditions.
Mahderekal, Isaac [Oak Ridge National Laboratory (ORNL)] [Oak Ridge National Laboratory (ORNL); Shen, Bo [ORNL] [ORNL; Vineyard, Edward [Oak Ridge National Laboratory (ORNL)] [Oak Ridge National Laboratory (ORNL)
SARA (System ARchitects Apprentice): Modeling, analysis, and simulation support for design of concurrent systems
An environment to support designers in the modeling, analysis and simulation of concurrent systems is described. It is shown how a fully nested structure model supports multilevel design and focuses attention on the interfaces between the modules which serve to encapsulate behavior. Using simple examples the paper indicates how a formal graph model can be used to model behavior in three domains: control flow, data flow, and interpretation. The effectiveness of the explicity environment model in SARA is discussed and the capability to analyze correctness and evaluate performance of a system model are demonstrated. A description of the integral help designed into SARA shows how the designer can be offered consistent use of any new tool introduced to support the design process.
Estrin, G.; Fenchel, R.S.; Razouk, R.R.; Vernon, M.K.
Modeling and Analysis of Hybrid Systems Hybrid systems and their modeling
a heater on and off x is regulated by a thermostat: 17 x 18 "heater on" 22 x 23 "heater off" t x 20 18 17 22 23 t on off Hybrid Ábrahám - Hybrid Systems 6 / 41 #12;Example: Water tank system two
Ábrahám, Erika
Macro-System Model for Hydrogen Energy Systems Analysis in Transportation: Preprint
The Hydrogen Macro System Model (MSM) is a simulation tool that links existing and emerging hydrogen-related models to perform rapid, cross-cutting analysis. It allows analysis of the economics, primary energy-source requirements, and emissions of hydrogen production and delivery pathways.
Diakov, V.; Ruth, M.; Sa, T. J.; Goldsby, M. E.
How to obtain the National Energy Modeling System (NEMS)
Reports and Publications (EIA)
The National Energy Modeling System (NEMS) NEMS is used by the modelers at the U. S. Energy Information Administration (EIA) who understand its structure and programming. NEMS has only been used by a few organizations outside of the EIA, because most people that requested NEMS found out that it was too difficult or rigid to use. NEMS is not typically used for state-level analysis and is poorly suited for application to other countries. However, many do obtain the model simply to use the data in its input files or to examine the source code.
Strongly correlated f-electron systems: A PES study
The term heavy fermions refers to materials (thus far only compounds with elements having an unfilled 4f or 5f shells) whose large specific heat {gamma}-values suggest that the conduction electrons at low temperatures have a very heavy effective mass. Magnetic susceptibility measurements, {chi}, generally yield a Curie-Weiss behavior at high temperatures with a well developed moment, which would be consistent with localized behavior of the f-electrons. Thus, the f-electrons appear to behave as non-interacting single impurities at elevated temperature. Below a characteristic Kondo temperature, T{sub K}, the susceptibility levels off or even decreases. This is interpreted as a compensation of the f-moment by the ligand conduction electrons that are believed to align anti-parallel to form a singlet state and has led to the widespread use of the Anderson Impurity Hamiltonian and the Single Impurity Model (SIM). Weak hybridization with these conduction electrons yields a narrow, highly temperature dependent, DOS at the Fermi energy, often referred to as the Kondo resonance (KR). At still lower temperatures it is generally agreed that in stoichiometric compounds a lattice of these singlet states finally results in extremely narrow bands at the Fermi energy, whose bandwidth is of the order k{sub B}T{sub K}. Clearly coherent bands cannot form above T{sub K} owing to the narrow width. A model for periodic Kondo systems will inevitably have to include the lattice. Preliminary PAM calculations indicate that this inclusion yields results differing qualitatively, rather than just quantitatively, from the SIM predictions. The photoemission data on single crystal heavy fermions are consistent with the following PAM predictions: (1) the temperature dependence of the KR is much slower than expected from the SIM; indeed, it is primarily7 due to broadening and Fermi function truncation; (2) the spectral weight of the KR relative to the localized 4f feature (not discussed here) is much larger than the SIM expectations (equivalently, n{sub f} values are far too small); (3) the KR and its sidebands does not lose spectral weight with T, but rather only broadens; (4) f-electrons in both Ce and U systems form narrow bands already far above T{sub K} (the jury is still out for Yb systems); (5) the width of these bands is much larger than k{sub B}T{sub K}; (6) f-character is obtained in only some regions of the Brillouin zone; i.e., momentum dependence of the KR above T{sub K}. While the PAM seems to predict the correct trends, they have no reason yet to rule out other models, such as those of Liu and Sheng and Cooper. Such discrimination may occur when the models develop sufficiently to allow real system calculations.
Arko, A.J.; Joyce, J.J.; Sarrao, J.; Thompson, J.D.; Morales, L. [Los Alamos National Lab., NM (United States); Fisk, Z. [Florida State Univ., Tallahassee, FL (United States); Henkie, Z.; Cichorek, T. [Trzebiatowski Inst., Wroclaw (Poland)
Causes of variation in soil carbon simulations from CMIP5 Earth system models and comparison with observations
and benchmarks in Earth system models sitivity of the Amazonand benchmarks in Earth system models Thornton, P. E. ,simulations from CMIP5 Earth system models and comparison
A management information system model for convenience stores
of infomna- tion that convenience store managers can use to accomplisll coimoany objecti v s . This model will serv as a guide with which convenience store companies can set up thei r own management information systems . ~si. Obj eii es 1) Identify...', and 6) the organizational impact of a manage- ment information system. E~i i 1 R h i ll g I I 0 ~tip. 5 -. +s The majority of research on management information systems has been theoretically oriented. Little empirical research has been achieved...
Moede, Eric Arne
Modeling On-Site Utility Systems Using "APLUS"
MODELING ON-SITE UTILITY SYSTEMS USING "APLUS" S. M. RANADE D. H. JONES S. C. SHREC Res. & Tech.Coord. Consultant Engineer ConsultantEngineer ICI-TENSA Services, Houston, Texas ABSTRACT Most energy saving schemes on industrial sites lead... to reductions in the steam and/or power demands on an on-site utility system. Accurate knowledge of the marginal and incremental costs of the available levels of steam and shaft power from such systems is, therefore, essential for the correct economic...
Ranade, S. M.; Jones, D. H.; Shrec, S. C.
Model documentation report: Commercial 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) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. The NEMS Commercial Sector Demand Module is a simulation tool based upon economic and engineering relationships that models commercial sector energy demands at the nine Census Division level of detail for eleven distinct categories of commercial buildings. Commercial equipment selections are performed for the major fuels of electricity, natural gas, and distillate fuel, for the major services of space heating, space cooling, water heating, ventilation, cooking, refrigeration, and lighting. The algorithm also models demand for the minor fuels of residual oil, liquefied petroleum gas, steam coal, motor gasoline, and kerosene, the renewable fuel sources of wood and municipal solid waste, and the minor services of office equipment. Section 2 of this report discusses the purpose of the model, detailing its objectives, primary input and output quantities, and the relationship of the Commercial Module to the other modules of the NEMS system. Section 3 of the report describes the rationale behind the model design, providing insights into further assumptions utilized in the model development process to this point. Section 3 also reviews alternative commercial sector modeling methodologies drawn from existing literature, providing a comparison to the chosen approach. Section 4 details the model structure, using graphics and text to illustrate model flows and key computations.
Investment Model for Renewable Electricity Systems (IMRES): an
commitment and energy dispatch are taken jointly. The purpose of this model is to determine the minimum cost-016 AJointCenteroftheDepartmentofEconomics,MITEnergyInitiativeandMITSloanSchoolofManagement. #12;Investment electricity generation capacity mix in systems with a high penetration of intermittent renewable energy
McCalley, James D.
Extracting Temporal Signatures for Comprehending Systems Biology Models
, with capabilities to model complex systems including cell division, stress response, energy metabolism multi-variate time series data, where the signatures are composed of ordinal comparisons between time]: Data mining; I.5.2 [Design Methodology]: Feature evaluation and selection General Terms Algorithms
Ramakrishnan, Naren
Reliability Modeling and Evaluation in Aging Power Systems
Renewal process has been often employed as a mathematical model of the failure and repair cycle of components in power system reliability assessment. This implies that after repair, the component is assumed to be restored to be in as good as new...
Kim, Hag-Kwen
facility power, which local utility grids supply to most data centers. However, alternative approachesData Mining for Modeling Chiller Systems in Data Centers Debprakash Patnaik1 , Manish Marwah2 in data centers, particularly the chiller ensemble. These infrastructures are poorly understood due
(thermal, gas, diesel) and renewable (hydro, wind) power units. The objective is to assess the impact - that have a special dynamic behaviour, and the wind turbines. Detailed models for each one of the power system components are developed. Emphasis is given in the representation of different hydro power plant
Interconnected hydro-thermal systems Models, methods, and applications
Interconnected hydro-thermal systems Models, methods, and applications Magnus Hindsberger Kgs. Lyngby 2003 IMM-PHD-2003-112 Interconnected hydro-thermalsystems #12;Technical University of Denmark 45882673 email@example.com www.imm.dtu.dk IMM-PHD-2003-112 ISSN 0909-3192 #12;Interconnected hydro
MODELING INFRASTRUCTURE FOR A FOSSIL HYDROGEN ENERGY SYSTEM WITH CO2 SEQUESTRATION Joan M. Ogden Production of hydrogen (H2) from fossil fuels with capture and sequestration of CO2 offers a route toward would require building two new pipeline infrastructures: one for distributing H2 to end-users and one
Collaborative Creativity: A Complex Systems Model with Distributed Affect
Collaborative Creativity: A Complex Systems Model with Distributed Affect Cecilia R. Aragon E16 2RD UK firstname.lastname@example.com ABSTRACT The study of creativity has received significant attention over the past century, with a recent increase in interest in collaborative, distributed creativity
Anderson, Richard
Modeling the Arterial System with Reference to an Anesthesia Simulator
Modeling the Arterial System with Reference to an Anesthesia Simulator Ph.D. Thesis 1 by Mette), and at the Department of Anesthesia, Herlev University Hospital. The study has been organized as an industrial Ph S.A. Pedersen, Roskilde University, and M.D. P.F. Jensen, Ph.D., Department of Anesthesia, Herlev
Olufsen, Mette Sofie
Rock-physics Models for Gas-hydrate Systems Associated
Rock-physics Models for Gas-hydrate Systems Associated with Unconsolidated Marine Sediments Diana associated with unconsolidated marine sediments. The goals are to predict gas-hydrate concentration from intercalated with unconsolidated sediments. We show that the geometrical details of how gas hy- drates
Texas at Austin, University of
FRW Cosmological model with Modified Chaplygin Gas and Dynamical System
The Friedmann-Robertson-Walker(FRW) model with dynamical Dark Energy(DE) in the form of modified Chaplygin gas(MCG) has been investigated. The evolution equations are reduced to an autonomous system on the two dimensional phase plane and it can be interpreted as the motion of the particle in an one dimensional potential.
Nairwita Mazumder; Ritabrata Biswas; Subenoy Chakraborty
Modelling Ecological Systems with the Calculus of Wrapped Compartments
wagneri, a shrub constituting the endemic predominant species of the dry ecosystem in southern Ecuador of rewrite rules which model the transformations determining the system's evolu- tion [27,24]. Terms is labelled with a nominal type which identifies the set of rewrite rules that may be applied into it. The CWC
Torino, Università di
A New Accident Model for Engineering Safer Systems Nancy Leveson
A New Accident Model for Engineering Safer Systems Nancy Leveson Aeronautics and Astronautics Dept changes in the etiology of accidents and is creating a need for changes in the explanatory mechanisms used. We need better and less subjective understanding of why accidents occur and how to prevent future
Leveson, Nancy
1 PB13-078 ELECTRICAL ANALOGY MODELLING OF PEFC SYSTEM FED BY A COMPRESSOR Moussa Chnani1 , Hattab is expected to have a low cost, a low weight and a low size, to compete with more and more efficient is representative of an embedded generator, i.e. few sensors, few actuators. Gaseous hydrogen is stored in a tank
Discrete Boltzmann modeling of liquid-vapor system
We further probe the Discrete Boltzmann Modeling(DBM) of the single-component two phase flows or the liquid-vapor system. There are two kinds of nonequilibrium effects in the system. The first is the Mechanical NonEquilibrium(MNE). The second is the Thermodynamic NonEquilibrium(TNE). The MNE is well described in the traditional fluid dynamic theory. The description of TNE resorts to the gas kinetic theory. Since based on the Boltzmann equation, the DBM makes possible to analyze both the MNE and TNE. The TNE is the main discussion of this work. A major purpose of this work is to show that the DBM results can be used to confirm and/or improve the macroscopic modeling of complex system.
Aiguo Xu; Guangcai Zhang; Yanbiao Gan
Modeling Supermarket Refrigeration Systems with EnergyPlus
Supermarket refrigeration capabilities were first added to EnergyPlus in 2004. At that time, it was possible to model a direct expansion (DX) rack system with multiple refrigerated cases. The basic simulation software handles all the building energy uses, typically on a 5 to 10 minute time step throughout the period of interest. The original refrigeration module included the ability to model the sensible and latent interactions between the refrigerated cases and the building HVAC system, along with some basic heat recovery capabilities. Over the last few years, the refrigeration module has been expanded to handle more complex systems, such as secondary loops, shared condensers, cascade condensers, subcoolers, and walk-in coolers exchanging energy with multiple conditioned zones.
Stovall, Therese K [ORNL; Baxter, Van D [ORNL
High Flux Isotope Reactor system RELAP5 input model
A thermal-hydraulic computational model of the High Flux Isotope Reactor (HFIR) has been developed using the RELAP5 program. The purpose of the model is to provide a state-of-the art thermal-hydraulic simulation tool for analyzing selected hypothetical accident scenarios for a revised HFIR Safety Analysis Report (SAR). The model includes (1) a detailed representation of the reactor core and other vessel components, (2) three heat exchanger/pump cells, (3) pressurizing pumps and letdown valves, and (4) secondary coolant system (with less detail than the primary system). Data from HFIR operation, component tests, tests in facility mockups and the HFIR, HFIR specific experiments, and other pertinent experiments performed independent of HFIR were used to construct the model and validate it to the extent permitted by the data. The detailed version of the model has been used to simulate loss-of-coolant accidents (LOCAs), while the abbreviated version has been developed for the operational transients that allow use of a less detailed nodalization. Analysis of station blackout with core long-term decay heat removal via natural convection has been performed using the core and vessel portions of the detailed model.
Morris, D.G.; Wendel, M.W.
Reference Manual for the System Advisor Model's Wind Power Performance Model
This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.
Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.
Virtual control system environment: A modeling and simulation tool for process control systems
The development of tools and techniques for security testing and performance testing of Process Control Systems (PCS) is needed since those systems are vulnerable to the same classes of threats as other networked computer systems. In practice, security testing is difficult to perform on operational PCS because it introduces an unacceptable risk of disruption to the critical systems (e.g., power grids) that they control. In addition, the hardware used in PCS is often expensive, making full-scale mockup systems for live experiments impractical. A more flexible approach to these problems can be provided through test beds that provide the proper mix of real, emulated, and virtual elements to model large, complex systems such as critical infrastructures. This paper describes a 'Virtual Control System Environment' that addresses these issues. (authors)
Lee, E.; Michalski, J.; Sholander, P.; Van Leeuwen, B. [Sandia National Laboratories, Albuquerque, NM 87111 (United States)
Collaborative study of GENIEfy Earth System Models using scripted database workflows in a Grid
algorithms complement the component framework to provide a comprehensive toolset for Earth system modelling
A. R. Price; Z. Jiao; I. I. Voutchkov; T. M. Lenton; G. Williams; D. J. Lunt; R. Marsh; P. J. Valdes; S. J. Cox; The Genie Team
is outlined. INIS Descriptors. AUTOMATION; CONTROL SYSTEMS; CONSERVATION LAWS; ENERGY BALANCE; FLOW MODELS
Power System Modeling of 20percent Wind-Generated Electricity by 2030
power system modeling, wind energy I. I NTRODUCTION Generating electricity from wind technology has several advantages
Hand, Maureen
Automated Modelling of Reactive Discrete Event Systems from External Behavioural Data
Petri nets. I. INTRODUCTION Modelling is an important stage during the systems' developing life-cycle
Parametric Study of Emerging High Power Accelerator Applications Using Accelerator Systems Model (ASM)
Parametric Study of Emerging High Power Accelerator Applications Using Accelerator Systems Model (ASM)
Berwald, D H; Myers, T J; Paulson, C C; Peacock, M A; Piaszczyk, C M; Rathke, J W; Piechowiak, E M
The use and misuse of Vc,max in Earth System Models Alistair Rogers
REVIEW The use and misuse of Vc,max in Earth System Models Alistair Rogers Received: 18 November Dordrecht (outside the USA) 2013 Abstract Earth System Models (ESMs) aim to project global change. Central Á Vc,max Á Leaf nitrogen Á Earth System Models Introduction The primary goal of Earth System Models
Ohta, Shigemi
FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda
FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda Ian Foster Mathematics as a tool for building earth system models on massively parallel computers. I hypothesize that the use to investigate this hypothe sis. 2. Earth System Models An earth system model is a computer code designed
[10-386] Assessing and Improving the Scale Dependence of Ecosystem Processes in Earth System Models
. Goodale Cornell U. *Overall Project Lead *Lead Institution Intellectual Merit: Earth system models include policies. Our research assesses and improves Earth system model simulations of the carbon cycle, ecosystem of the Community Climate System Model/Community Earth System Model, which includes statistical meteorological
Towards a Model of Systemic Change in University STEM Education
Despite numerous calls for the transformation of undergraduate STEM education, there is still a lack of successful models for creating large-scale, systemic cultural changes in STEM departments. To date, change efforts have generally focused on one of three areas: developing reflective teachers, disseminating curricula and pedagogy, or enacting institutional policy. These efforts illustrate many of the challenges of departmental change; in particular, they highlight the need for a holistic approach that integrates across all three of these levels: individual faculty, whole departments, and university policymakers. To address these challenges, as part of our campus-wide AAU-sponsored effort in STEM education transformation, we import and integrate models of change from multiple perspectives. We draw from models in organizational change, from departmental and disciplinary change in STEM education, and from efforts to support individual efforts such as the development and dissemination model. As a result, our de...
Reinholz, Daniel L; Dancy, Melissa H; Finkelstein, Noah; Deetz, Stanley
Wind turbine control systems: Dynamic model development using system identification and the fast structural dynamics code
Mitigating the effects of damaging wind turbine loads and responses extends the lifetime of the turbine and, consequently, reduces the associated Cost of Energy (COE). Active control of aerodynamic devices is one option for achieving wind turbine load mitigation. Generally speaking, control system design and analysis requires a reasonable dynamic model of {open_quotes}plant,{close_quotes} (i.e., the system being controlled). This paper extends the wind turbine aileron control research, previously conducted at the National Wind Technology Center (NWTC), by presenting a more detailed development of the wind turbine dynamic model. In prior research, active aileron control designs were implemented in an existing wind turbine structural dynamics code, FAST (Fatigue, Aerodynamics, Structures, and Turbulence). In this paper, the FAST code is used, in conjunction with system identification, to generate a wind turbine dynamic model for use in active aileron control system design. The FAST code is described and an overview of the system identification technique is presented. An aileron control case study is used to demonstrate this modeling technique. The results of the case study are then used to propose ideas for generalizing this technique for creating dynamic models for other wind turbine control applications.
Stuart, J.G.; Wright, A.D.; Butterfield, C.P.
Prerequisites: Control Systems I+II, System Modeling, Engine Class (Introduction to Modeling and Control of
and Control of Internal Combustion Engine Systems, IC Engines, ...), Optimization Course, Matlab The gas-diesel engine is a natural gas engine, where the combustion is initiated by a small quantity on the investigation of the combustion process of the gas-diesel engine. A highly flexible engine test-bench with COC
Daraio, Chiara
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. 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 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. Subsequent chapters of this report provide: an overview of NGTDM; a description of the interface between the NEMS and NGTDM; an overview of the solution methodology of the NGTDM; the solution methodology for the Annual Flow Module; the solution methodology for the Distributor Tariff Module; the solution methodology for the Capacity Expansion Module; the solution methodology for the Pipeline Tariff Module; and a description of model assumptions, inputs, and outputs.
Computational Human Performance Modeling For Alarm System Design
The introduction of new technologies like adaptive automation systems and advanced alarms processing and presentation techniques in nuclear power plants is already having an impact on the safety and effectiveness of plant operations and also the role of the control room operator. This impact is expected to escalate dramatically as more and more nuclear power utilities embark on upgrade projects in order to extend the lifetime of their plants. One of the most visible impacts in control rooms will be the need to replace aging alarm systems. Because most of these alarm systems use obsolete technologies, the methods, techniques and tools that were used to design the previous generation of alarm system designs are no longer effective and need to be updated. The same applies to the need to analyze and redefine operators� alarm handling tasks. In the past, methods for analyzing human tasks and workload have relied on crude, paper-based methods that often lacked traceability. New approaches are needed to allow analysts to model and represent the new concepts of alarm operation and human-system interaction. State-of-the-art task simulation tools are now available that offer a cost-effective and efficient method for examining the effect of operator performance in different conditions and operational scenarios. A discrete event simulation system was used by human factors researchers at the Idaho National Laboratory to develop a generic alarm handling model to examine the effect of operator performance with simulated modern alarm system. It allowed analysts to evaluate alarm generation patterns as well as critical task times and human workload predicted by the system.
Jacques Hugo
Long-term effects of anthropogenic CO2 emissions simulated with a complex earth system model
Long-term effects of anthropogenic CO2 emissions simulated with a complex earth system model Uwe earth system model con- sisting of an atmospheric general circulation model, an ocean general
Winguth, Arne
Computational modeling of the brain limbic system and its application in control engineering
of this thesis, Chapter IV, shows the utilization of the Brain Emotional Learning (BEL) model in different applications of control and signal fusion systems. The main effort is focused on applying the model to control systems where the model acts...
Shahmirzadi, Danial
Design of a Personalized Lighting Control System Enabled by a Space Model
-functional system requirements which inform system design. The structure of a proposed space model and space model queries are described and illustrated with examples. Implementation environments for system modules and data communication between modules...
Suter, G.; Petrushevski, F.; Sipetic, M.
Business Process Modeling for developing Process Oriented IT Systems Track: Business Process Management Tools and Technologies
Business Process Modeling for developing Process Oriented IT Systems Track: Business Process should be like. Therefore, business process modeling becomes a pre-requisite for system requirements, the paradigm of Business Process Management contrasts with traditional information system development, which
This report documents the objectives, analytical approach and development of the National Energy Modeling System (NEMS) Commercial Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, model source code, and forecast results generated through the synthesis and scenario development based on these components. This report serves three purposes. First, it is a reference document providing a detailed description 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 support of its statistical and forecast reports (Public Law 93-275, section 57(b)(1)). 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.
The Case for A Hierarchal System Model for Linux Clusters
The computer industry today is no longer driven, as it was in the 40s, 50s and 60s, by High-performance computing requirements. Rather, HPC systems, especially Leadership class systems, sit on top of a pyramid investment mode. Figure 1 shows a representative pyramid investment model for systems hardware. At the base of the pyramid is the huge investment (order 10s of Billions of US Dollars per year) in semiconductor fabrication and process technologies. These costs, which are approximately doubling with every generation, are funded from investments multiple markets: enterprise, desktops, games, embedded and specialized devices. Over and above these base technology investments are investments for critical technology elements such as microprocessor, chipsets and memory ASIC components. Investments for these components are spread across the same markets as the base semiconductor processes investments. These second tier investments are approximately half the size of the lower level of the pyramid. The next technology investment layer up, tier 3, is more focused on scalable computing systems such as those needed for HPC and other markets. These tier 3 technology elements include networking (SAN, WAN and LAN), interconnects and large scalable SMP designs. Above these is tier 4 are relatively small investments necessary to build very large, scalable systems high-end or Leadership class systems. Primary among these are the specialized network designs of vertically integrated systems, etc.
Seager, M; Gorda, B
Integrated Air Pollution Control System (IAPCS), Executable Model (Version 4. 0) (for microcomputers). Model-Simulation
The Integrated Air Pollution Control System (IAPCS) Cost Model is an IBM PC cost model that can be used to estimate the cost of installing SO2, NOx, and particulate matter control systems at coal-fired utility electric generating facilities. The model integrates various combinations of the following technologies: physical coal cleaning, coal switching, overfire air/low NOx burners, natural gas reburning, LIMB, ADVACATE, electrostatic precipitator, fabric filter, gas conditioning, wet lime or limestone FGD, lime spray drying/duct spray drying, dry sorbent injection, pressurized fluidized bed combustion, integrated gasification combined cycle, and pulverized coal burning boiler. The model generates capital, annualized, and unitized pollutant removal costs in either constant or current dollars for any year.
Mathematical modeling for a thermionic-AMTEC cascade system
A mathematical modeling of a system consisting of a cascade of a thermionic energy conversion (TIEC) device and an alkali metal thermal to electrical conversion (AMTEC) device has been performed. The TIEC is heated by electron bombardment which converts heat partially into electricity and rejects the remaining. The AMTEC utilizes this reject heat of the TIEC. A mathematical thermal model of the cascade converter has been developed to analyze effects of key parameters such as power level, heat fluxes, temperatures, cascade geometry, etc. In this effort, a 9-node system of nonlinear simultaneous equations has been constructed which is solved by MATHCAD predicting the temperatures of the principal components and the heat flow. Through this study, a better understanding of the thermal coupling of the two converters was gained which helps to produce a more efficient cascade. {copyright} {ital 1996 American Institute of Physics.}
Lodhi, M.A. [Department of Physics, Texas Tech University, Lubbock, Texas 79409 (United States); Schuller, M.; Hausgen, P. [Phillips Laboratory, Kirtland AFB, New Mexico 87117 (United States)
System Design Description and Requirements for Modeling the Off-Gas Systems for Fuel Recycling Facilities
This document provides descriptions of the off-gases evolved during spent nuclear fuel processing and the systems used to capture the gases of concern. Two reprocessing techniques are discussed, namely aqueous separations and electrochemical (pyrochemical) processing. The unit operations associated with each process are described in enough detail so that computer models to mimic their behavior can be developed. The document also lists the general requirements for the desired computer models.
Daryl R. Haefner; Jack D. Law; Troy J. Tranter
NREL's System Advisor Model Simplifies Complex Energy Analysis (Fact Sheet)
NREL has developed a tool -- the System Advisor Model (SAM) -- that can help decision makers analyze cost, performance, and financing of any size grid-connected solar, wind, or geothermal power project. Manufacturers, engineering and consulting firms, research and development firms, utilities, developers, venture capital firms, and international organizations use SAM for end-to-end analysis that helps determine whether and how to make investments in renewable energy projects.
FORTRAN M as a language for building earth system models
FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.
Investigation of hydrogen transfer in coprocessing using model systems
Coprocessing of coal with petroleum resid involves the reaction of two very different materials: coal is aromatic and resid is naphthenic. Hydrogen transfer is an important mechanism in most coal liquefaction systems. When coal is reacted with a coal-derived solvent, a high hydroaromatic content capable of transferring hydrogen in the solvent is desirable for achieving the desired coal conversions. But, resids tend to be naphthenic rather than hydroaromatic in character. The current study evaluated the reactivity of naphthenic compounds as models for resids in the presence of aromatic acceptors that are representative of the coal structure. The model donor used was perhydropyrene and the model acceptors were phenanthrene and anthracene. Thermal and catalytic reactions were performed at 400 and 440{degrees}C for 30 min in a H{sub 2} or N{sub 2} atmosphere with 1:1 and 5:1 ratios of model donor to model acceptor and with slurry phase catalysts, Mo naphthenate and Ni octoate. In reactions containing anthracene, the presence of perhydropyrene had increased the total amount of hydrogen being accepted by anthracene, while excess perhydropyrene was required to increase the hydrogen accepted by the model phenanthrene. Catalysis by Mo naphthenate promoted hydrogen transfer from perhydropyrene to anthracene, but catalysis by Ni octoate did not.
Shen, J.; Curtis, C.W. [Auburn Univ., AL (United States)
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Modeling of a PowerModeling of a Power-------- Managed System: Construction andManaged System: Construction andManaged System: Construction andManaged System: Construction andManaged System: Construction andManaged System: Construction andManaged System: Construction andManaged System: Construction and Optimization
Pedram, Massoud
Electrochemical and optical studies of model photosynthetic systems
The objective of this research is to obtain a better understanding of the relationship between the structural organization of photosynthetic pigments and their spectroscopic and electrochemical properties. Defined model systems were studied first. These included the least ordered (solutions) through the most highly ordered (Langmuir-Blodgett (LB) monolayers and self-assembled monolayers) systems containing BChl, BPheo, and UQ. Molecules other than the photosynthetic pigments and quinones were also examined, including chromophores (i.e. surface active cyanine dyes and phtahlocyanines) an redox active compounds (methyl viologen (MV) and surfactant ferrocenes), in order to develop the techniques needed to study the photosynthetic components. Because the chlorophylls are photosensitive and labile, it was easier first to develop procedures using stable species. Three different techniques were used to characterize these model systems. These included electrochemical techniques for determining the standard oxidation and reduction potentials of the photosynthetic components as well as methods for determining the heterogeneous electron transfer rate constants for BChl and BPheo at metal electrodes (Pt and Au). Resonance Raman (RR) and surface enhanced resonance Raman (SERR) spectroscopy were used to determine the spectra of the photosynthetic pigments and model compounds. SERRS was also used to study several types of photosynthetic preparations.
System Advisor Model, SAM 2014.1.14: General Description
This document describes the capabilities of the U.S. Department of Energy and National Renewable Energy Laboratory's System Advisor Model (SAM), Version 2013.9.20, released on September 9, 2013. SAM is a computer model that calculates performance and financial metrics of renewable energy systems. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of photovoltaic, concentrating solar power, solar water heating, wind, geothermal, biomass, and conventional power systems. The financial model can represent financial structures for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (utility). SAM's advanced simulation options facilitate parametric and sensitivity analyses, and statistical analysis capabilities are available for Monte Carlo simulation and weather variability (P50/P90) studies. SAM can also read input variables from Microsoft Excel worksheets. For software developers, the SAM software development kit (SDK) makes it possible to use SAM simulation modules in their applications written in C/C++, C#, Java, Python, and MATLAB. NREL provides both SAM and the SDK as free downloads at http://sam.nrel.gov. Technical support and more information about the software are available on the website.
Blair, N.; Dobos, A. P.; Freeman, J.; Neises, T.; Wagner, M.; Ferguson, T.; Gilman, P.; Janzou, S.
System Advisor Model, SAM 2011.12.2: General Description
This document describes the capabilities of the U.S. Department of Energy and National Renewable Energy Laboratory's System Advisor Model (SAM), Version 2011.12.2, released on December 2, 2011. SAM is software that models the cost and performance of renewable energy systems. Project developers, policy makers, equipment manufacturers, and researchers use graphs and tables of SAM results in the process of evaluating financial, technology, and incentive options for renewable energy projects. SAM simulates the performance of solar, wind, geothermal, biomass, and conventional power systems. The financial model can represent financing structures for projects that either buy and sell electricity at retail rates (residential and commercial) or sell electricity at a price determined in a power purchase agreement (utility). Advanced analysis options facilitate parametric, sensitivity, and statistical analyses, and allow for interfacing SAM with Microsoft Excel or with other computer programs. SAM is available as a free download at http://sam.nrel.gov. Technical support and more information about the software are available on the website.
Gilman, P.; Dobos, A.
The objective of this research was to evaluate the role of the resid in the coprocessing of coal and petroleum resid. The question being asked was whether the resid is an active solvent in coprocessing reactions and whether resid donates any hydrogen to coal during coprocessing. An effective means of determining whether resid participates in the reactions at coprocessing conditions is to use model systems and trace their reaction pathways. The research performed in this study evaluated the hydrogen donability of a naphthenic compound perhydropyrene, a compound type prevalent in resids that are hydrogen-rich. Model species were also used as acceptors that represented the aromatic aspect of coal. The model acceptors that were used were anthracene and phenanthrene.
Shen, Jing; Curtis, C.W. [Auburn Univ., AL (United States)
Short-Termed Integrated Forecasting System: 1993 Model documentation report
The purpose of this report is to define the Short-Term Integrated Forecasting System (STIFS) and describe its basic properties. The Energy Information Administration (EIA) of the US Energy Department (DOE) developed the STIFS model to generate short-term (up to 8 quarters), monthly forecasts of US supplies, demands, imports exports, stocks, and prices of various forms of energy. The models that constitute STIFS generate forecasts for a wide range of possible scenarios, including the following ones done routinely on a quarterly basis: A base (mid) world oil price and medium economic growth. A low world oil price and high economic growth. A high world oil price and low economic growth. This report is written for persons who want to know how short-term energy markets forecasts are produced by EIA. The report is intended as a reference document for model analysts, users, and the public.
Improvements in Hanford TRU Program Utilizing Systems Modeling and Analyses
Hanford's Transuranic (TRU) Program is responsible for certifying contact-handled (CH) TRU waste and shipping the certified waste to the Waste Isolation Pilot Plant (WIPP). Hanford's CH TRU waste includes material that is in retrievable storage as well as above ground storage, and newly generated waste. Certifying a typical container entails retrieving and then characterizing it (Non-Destructive Examination [NDE], Non-Destructive Assay [NDA], and Head Space Gas Sampling [HSG]), validating records (data review and reconciliation), and designating the container for a payload. The certified payload is then shipped to WIPP. Systems modeling and analysis techniques were applied to Hanford's TRU Program to help streamline the certification process and increase shipping rates. The modeling and analysis yields several benefits: - Maintains visibility on system performance and predicts downstream consequences of production issues. - Predicts future system performance with higher confidence, based on tracking past performance. - Applies speculation analyses to determine the impact of proposed changes (e.g., apparent shortage of feed should not be used as basis to reassign personnel if more feed is coming in the queue). - Positively identifies the appropriate queue for all containers (e.g., discovered several containers that were not actively being worked because they were in the wrong 'physical' location - method used previously for queuing up containers). - Identifies anomalies with the various data systems used to track inventory (e.g., dimensional differences for Standard Waste Boxes). A model of the TRU Program certification process was created using custom queries of the multiple databases for managing waste containers. The model was developed using a simplified process chart based on the expected path for a typical container. The process chart was augmented with the remediation path for containers that do not meet acceptance criteria for WIPP. Containers are sorted into queues based on their current status in the process. A container can be in only one queue at any given time. Existing data systems are queried to establish the quantity of containers in each queue on any given day. This sets the amount of feed available that is then modeled to be processed according to the daily production plans. The daily production plans were created by identifying the equipment necessary and the staff that performs each process step, and determining the expected production rate for each step. Production performance is monitored on a weekly basis with Project senior staff to establish a total operating efficiency (TOE) for each step (comparing actual performance to production capacity). The unit operations were modeled to be constrained by each day's feed queue plus the performance of the preceding step. The TOE for each unit operation was applied to an integrated model to determine bottlenecks and identify areas for improvement. All of the steps were linked to predict future system performance based on available feed and integrated system-level TOE. It has been determined that at times sub-optimization of a particular unit operation is necessary to ensure the system remains balanced (e.g., having excess capacity in assay does no good if there is no feed available because the real-time radiography [RTR] is working at half capacity). Several recommendations have been provided to the Project management team resulting in improvements in the performance of TRU certification activities by Hanford's TRU Program. (authors)
Baynes, P.A.; Bailey, K.B.; McKenney, D.E. [Fluor Hanford, Inc., Richland, WA (United States); Uytioco, E. [Fluor Government Group, Richland, WA (United States)
EIA model documentation: 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. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). The PMM models petroleum refining activities, the marketing of products, the production of natural gas liquids and domestic methanol, projects petroleum provides and sources of supplies for meeting demand. In addition, the PMM estimates domestic refinery capacity expansion and fuel consumption.
Integrated Air Pollution Control System (IAPCS), Executable Model and Source Model (version 4. 0) (for microcomputers). Model-Simulation
Engineering feedstock supply systems that deliver affordable, high-quality biomass remains a challenge for the emerging bioenergy industry. Cellulosic biomass is geographically distributed and has diverse physical and chemical properties. Because of this feedstock supply systems that deliver cellulosic biomass resources to biorefineries require integration of a broad set of engineered unit operations. These unit operations include harvest and collection, storage, preprocessing, and transportation processes. Design decisions for each feedstock supply system unit operation impact the engineering design and performance of the other system elements. These interdependencies are further complicated by spatial and temporal variances such as climate conditions and biomass characteristics. This paper develops an integrated model that couples a SQL-based data management engine and systems dynamics models to design and evaluate biomass feedstock supply systems. The integrated model, called the Biomass Logistics Model (BLM), includes a suite of databases that provide 1) engineering performance data for hundreds of equipment systems, 2) spatially explicit labor cost datasets, and 3) local tax and regulation data. The BLM analytic engine is built in the systems dynamics software package PowersimTM. The BLM is designed to work with thermochemical and biochemical based biofuel conversion platforms and accommodates a range of cellulosic biomass types (i.e., herbaceous residues, short- rotation woody and herbaceous energy crops, woody residues, algae, etc.). The BLM simulates the flow of biomass through the entire supply chain, tracking changes in feedstock characteristics (i.e., moisture content, dry matter, ash content, and dry bulk density) as influenced by the various operations in the supply chain. By accounting for all of the equipment that comes into contact with biomass from the point of harvest to the throat of the conversion facility and the change in characteristics, the BLM evaluates economic performance of the engineered system, as well as determining energy consumption and green house gas performance of the design. This paper presents a BLM case study delivering corn stover to produce cellulosic ethanol. The case study utilizes the BLM to model the performance of several feedstock supply system designs. The case study also explores the impact of temporal variations in climate conditions to test the sensitivity of the engineering designs. Results from the case study show that under certain conditions corn stover can be delivered to the cellulosic ethanol biorefinery for $35/dry ton.
David J. Muth, Jr.; Jacob J. Jacobson; Kenneth M. Bryden
Explorations in combining cognitive models of individuals and system dynamics models of groups.
This report documents a demonstration model of interacting insurgent leadership, military leadership, government leadership, and societal dynamics under a variety of interventions. The primary focus of the work is the portrayal of a token societal model that responds to leadership activities. The model also includes a linkage between leadership and society that implicitly represents the leadership subordinates as they directly interact with the population. The societal model is meant to demonstrate the efficacy and viability of using System Dynamics (SD) methods to simulate populations and that these can then connect to cognitive models depicting individuals. SD models typically focus on average behavior and thus have limited applicability to describe small groups or individuals. On the other hand, cognitive models readily describe individual behavior but can become cumbersome when used to describe populations. Realistic security situations are invariably a mix of individual and population dynamics. Therefore, the ability to tie SD models to cognitive models provides a critical capability that would be otherwise be unavailable.
Backus, George A.
Error Modeling in the ACT-R Production System Christian Lebire
Error Modeling in the ACT-R Production System Christian Lebière Department of Psychology Carnegie to extend the ACT-R production system to model human errors in the performance of a high-level cognitive be successfully duplicated in production system models. Introduction ACT-R (Anderson, 1993) is a model of human
Reder, Lynne
Atmospheric component of the MPI-M Earth System Model: Bjorn Stevens,1
Atmospheric component of the MPI-M Earth System Model: ECHAM6 Bjorn Stevens,1 Marco Giorgetta,1: Stevens, B., et al. (2013), Atmospheric component of the MPI-M Earth System Model: ECHAM6, J. Adv. Model System Model (or MPI-ESM) is described in an accompanying paper (M. Giorgetta et al., Climate change from
Reichler, Thomas
Model documentation Coal Market Module of the National Energy Modeling System
This report documents objectives and conceptual and methodological approach used in the development of the National Energy Modeling System (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1996 (AEO96). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s three submodules: Coal Production Submodule, Coal Export Submodule, and Coal Distribution Submodule.
Thermochemical Modeling of the Uranium-Cerium-Oxygen System
The objective of the Fuel Cycle R&D Program, Advanced Fuels campaign is to provide the research and development necessary to develop low loss, high quality nuclear fuels for ultra-high burnup reactor operation. Primary work in this area will be focused on the ceramic and metallic fuel systems. The goal of the current work is to enhance the understanding of ceramic nuclear fuel thermochemistry to support fuel research and development efforts. The thermochemical behavior of oxide nuclear fuel under irradiation is dependent on the oxygen to metal ratio (O:M). In fluorite-structured fuel, the actinide metal cation is bonded with {approx}2 oxygen atoms on a crystal lattice and as the metal atoms fission, fission fragments and free oxygen are created. The resulting fission fragments will contain some oxide forming elements, however these are insufficient to bind to all the liberated oxygen and therefore, there is an average increase in O:M with fuel burnup. Some of the fission products also form species that will migrate to and react with the cladding surface in a phenomenon known as Fuel Clad Chemical Interaction (FCCI). Cladding corrosion is life-limiting so it is desirable to understand influencing factors, such as oxide thermochemistry, which can be used to guide the design and fabrication of higher burn up fuel. A phased oxide fuel thermochemical model development effort is underway within the Advanced Fuels Campaign. First models of binary oxide systems are developed. For nuclear fuel system this means U-O and transuranic systems such as Pu-O, Np-O and Am-O. Next, the binary systems will be combined to form pseudobinary systems such as U-Pu-O, etc. The model development effort requires the use of data to allow optimization based on known thermochemical parameters as a function of composition and temperature. Available data is mined from the literature and supplemented by experimental work as needed. Due to the difficulty of performing fuel fabrication development with actinide materials, fundamental studies with uranium are performed using surrogate materials as stand-ins for transuranic elements. In most cases, cerium can be used as a suitable substitute for plutonium when performing O:M and sintering kinetics studies because of identical valence states. Differences exist between the magnitude of reported thermodynamic data of (U,Pu)O{sub x} and (U,Ce)O{sub x}, however the change in oxygen potential versus O:M follows the same trend for both systems. Cerium is also a major fission product element, and thus understanding its behavior in fuel is an important issue as well.
Voit, Stewart L [ORNL; Besmann, Theodore M [ORNL
the main goal of this project was to develop new scientific tools, based on optimization techniques, with the purpose of controlling and modeling cascading failures of electrical power transmission systems. We have developed a high-quality tool for simulating cascading failures. The problem of how to control a cascade was addressed, with the aim of stopping the cascade with a minimum of load lost. Yet another aspect of cascade is the investigation of which events would trigger a cascade, or more appropriately the computation of the most harmful initiating event given some constraint on the severity of the event. One common feature of the cascade models described (indeed, of several of the cascade models found in the literature) is that we study thermally-induced line tripping. We have produced a study that accounts for exogenous randomness (e.g. wind and ambient temperature) that could affect the thermal behavior of a line, with a focus on controlling the power flow of the line while maintaining safe probability of line overload. This was done by means of a rigorous analysis of a stochastic version of the heat equation. we incorporated a model of randomness in the behavior of wind power output; again modeling an OPF-like problem that uses chance-constraints to maintain low probability of line overloads; this work has been continued so as to account for generator dynamics as well.
Bienstock, Daniel
Interactive physically-based structural modeling of hydrocarbon systems Mael Bosson a,
using scripts and/or modeling tools. For many systems, however, these building methods may models of hydrocarbon systems. As the user edits the geometry of the system, atomic positions are alsoInteractive physically-based structural modeling of hydrocarbon systems Mael Bosson a, , Sergei
Redon, Stephane - NRIA Grenoble
(Preliminary draft) Modeling Reputation Management System on Online C2C Market Modeling Reputation Management System on Online C2C Market
online transactions in a consumer-to-consumer (C2C) market. We developed a computer simulation model transactions. Keywords: Reputation Management System, C2C market, e-commerce, online market, Agent(Preliminary draft) Modeling Reputation Management System on Online C2C Market Modeling Reputation
Yamamoto, Hitoshi
EIA model documentation: 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. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. 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.
Nuisance Source Population Modeling for Radiation Detection System Analysis
A major challenge facing the prospective deployment of radiation detection systems for homeland security applications is the discrimination of radiological or nuclear 'threat sources' from radioactive, but benign, 'nuisance sources'. Common examples of such nuisance sources include naturally occurring radioactive material (NORM), medical patients who have received radioactive drugs for either diagnostics or treatment, and industrial sources. A sensitive detector that cannot distinguish between 'threat' and 'benign' classes will generate false positives which, if sufficiently frequent, will preclude it from being operationally deployed. In this report, we describe a first-principles physics-based modeling approach that is used to approximate the physical properties and corresponding gamma ray spectral signatures of real nuisance sources. Specific models are proposed for the three nuisance source classes - NORM, medical and industrial. The models can be validated against measured data - that is, energy spectra generated with the model can be compared to actual nuisance source data. We show by example how this is done for NORM and medical sources, using data sets obtained from spectroscopic detector deployments for cargo container screening and urban area traffic screening, respectively. In addition to capturing the range of radioactive signatures of individual nuisance sources, a nuisance source population model must generate sources with a frequency of occurrence consistent with that found in actual movement of goods and people. Measured radiation detection data can indicate these frequencies, but, at present, such data are available only for a very limited set of locations and time periods. In this report, we make more general estimates of frequencies for NORM and medical sources using a range of data sources such as shipping manifests and medical treatment statistics. We also identify potential data sources for industrial source frequencies, but leave the task of estimating these frequencies for future work. Modeling of nuisance source populations is only useful if it helps in understanding detector system performance in real operational environments. Examples of previous studies in which nuisance source models played a key role are briefly discussed. These include screening of in-bound urban traffic and monitoring of shipping containers in transit to U.S. ports.
Sokkappa, P; Lange, D; Nelson, K; Wheeler, R
Modelling, Simulation, Control and Optimisation of Nonsmooth Systems http://www.inrialpes.fr/bipop/
Neural networks Modelling and simulation bipeds Optimization of energy production Masonry structuresBIPOP Modelling, Simulation, Control and Optimisation of Nonsmooth Systems Web Site http
Scaled modeling and simulation of ocean wave linear generator buoy systems.
??Accurate scaled modeling and simulation are critical to advancing ocean wave linear generator buoys. A 100th scaled model of ocean wave generator buoy systems is� (more)
Gore, Ganesh P.
Model documentation report: Residential 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) Residential Sector Demand Module. The report catalogues and describes the model assumptions, computational methodology, parameter estimation techniques, and FORTRAN source code. This document serves three purposes. First, it is a reference document providing a detailed description for energy analysts, other users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its statistical and forecast reports according to Public Law 93-275, section 57(b)(1). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements.
Development of a natural Gas Systems Analysis Model (GSAM)
Recent dramatic changes in natural gas markets have significant implications for the scope and direction of DOE`s upstream as well as downstream natural gas R&D. Open access transportation changes the way gas is bought and sold. The end of the gas deliverability surplus requires increased reserve development above recent levels. Increased gas demand for power generation and other new uses changes the overall demand picture in terms of volumes, locations and seasonality. DOE`s Natural Gas Strategic Plan requires that its R&D activities be evaluated for their ability to provide adequate supplies of reasonably priced gas. Potential R&D projects are to be evaluated using a full fuel cycle, benefit-cost approach to estimate likely market impact as well as technical success. To assure R&D projects are evaluated on a comparable basis, METC has undertaken the development of a comprehensive natural gas technology evaluation framework. Existing energy systems models lack the level of detail required to estimate the impact of specific upstream natural gas technologies across the known range of geological settings and likely market conditions. Gas Systems Analysis Model (GSAM) research during FY 1993 developed and implemented this comprehensive, consistent natural gas system evaluation framework. Rather than a isolated research activity, however, GSAM represents the integration of many prior and ongoing natural gas research efforts. When complete, it will incorporate the most current resource base description, reservoir modeling, technology characterization and other geologic and engineering aspects developed through recent METC and industry gas R&D programs.
Godec, M.; Haas, M.; Pepper, W.; Rose, J.
A Model for the Bus System in Cuernevaca (Mexico)
The bus transportation system in Cuernevaca, Mexico, has certain distinguished, innovative features and has been the subject of an intriguing, recent study by M. Krbalek and P. Seba. Krbalek and Seba analyzed the statistics of bus arrivals on Line 4 close to the city center. They studied, in particular, the bus spacing distribution and also the bus number variance measuring the fluctuations of the total number of buses arriving at a fixed location during a time interval T. Quite remarkably, it was found that these two statistics are well modeled by the Gaussian Unitary Ensemble (GUE) of random matrix theory. Our goal in this paper is to provide a plausible explanation of these observations, and to this end we introduce a microscopic model for the bus line that leads simply and directly to GUE.
Jinho Baik; Alexei Borodin; Percy Deift; Toufic Suidan
Systems Modeling and Analysis Industrial Engineers are interested in optimizing the design and operation of complex systems
Systems Modeling and Analysis Industrial Engineers are interested in optimizing the design and operation of complex systems composed of people and machines using information, materials and energy to produce goods and services. Analyzing such systems with information-driven models is an essential step
Dyer, Bill
Project Modelling To utilise the types of integrated design system that can be described with the modelling and
Chapter 7 Project Modelling To utilise the types of integrated design system that can be described the tasks and people involved in the projects in which the integrated system is used. This level of modelling enables an integrated design system to be customised for use in a specific project. Project
Goodman, James R.
Model Predictive Control of HVAC Systems: Implementation and Testing at the University of California, Merced
Model�Predictive�Control�of�HVAC�Systems:� � Implementation�and� air� conditioning� (HVAC)� account� for� 27%� of� the�reduction�potential�of�HVAC�systems�with� active�thermal�
Haves, Phillip
Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control
optimal control design for HVAC systems,�� in Proc. Dynamicelectricity consumption in hvac using learning- based model-algorithm design for hvac systems in energy efficient
Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto
Improved user interface design for site selection modeling system
The Site Selection Modeling System (SSMS) is a customized application within the Environmental Data Atlas (EDA), which is an integrated geographic information system (GIS) for environmental applications at the Savannah River site (SRS) developed jointly by the Environmental Sciences Section (ESS) of Westinghouse Savannah River Company and by the University of South Carolina (USC). The SSMS was developed to assist analysts with site selection activities carried out by the ESS and is a powerful tool with a graphical user interface that allows non-GIS analysts to use the application. However, use of the SSMS in recent siting exercises revealed deficiencies in the user interface as a production tool. This paper specifies user interface design criteria necessary for a production application and describes the implementation of these design criteria in the SSMS.
Koffman, L.D. [Westinghouse Savannah River Site, Aiken, SC (United States)
Seismic base isolation: Elastomer characterization, bearing modeling and system response
This paper discusses several major aspects of seismic base isolation systems that employ laminated elastomer bearings. Elastomer constitutive models currently being used to represent the nonlinear elastic and hysteretic behavior are discussed. Some aspects of mechanical characterization testing of elastomers is presented along with representative tests results. The development of a finite element based mesh generator for laminated elastomer bearings is presented. Recent advances in the simulation of base isolated structures to earthquake motions are presented along with a sample problem. 13 refs., 19 figs., 1 tab.
Kulak, R.F.; Wang, C.Y.; Hughes, T.H.
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.
Damage Modeling and Life Extending Control of a Boiler-Turbine System1
Damage Modeling and Life Extending Control of a Boiler-Turbine System1 Donglin Li Tongwen Chen2 hierarchical LEC structure and apply it to a typ- ical boiler system. There are two damage models
Marquez, Horacio J.
Modeling the Impact of Product Portfolio on the Economic and Environmental Performance of Recycling Systems
hrough the development of a general model of electronics recycling systems, the effect of product portfolio choices on economic and environmental system performance is explored. The general model encompasses the three main ...
Dahmus, Jeffrey B.
A Qualitive Modeling Approach for Fault Detection and Diagnosis on HVAC Systems
This paper describes the basics and first test results of a model based approach using qualitative modeling to perform Fault Detection and Diagnostics (FDD) on HVAC and R systems. A quantized system describing the qualitative behavior of a...
Muller, T.; Rehault, N.; Rist, T.
A System-Level Electrostatic-Discharge-Protection Modeling Methodology for Time-
A System-Level Electrostatic-Discharge- Protection Modeling Methodology for Time- Domain Analysis. Index Terms--Electromagnetic compatibility (EMC), electrostatic discharge (ESD), modeling, system level precise simulations of electrostatic discharge (ESD) stress propagation on a printed circuit board (PCB
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies
System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After;System Modeling, Analysis, and Optimization Methodology for Diesel Exhaust After-treatment Technologies Developing new aftertreatment technologies to meet emission regulations for diesel engines is a growing
de Weck, Olivier L.
Development of a Model Specification for Performance Monitoring Systems for Commercial Buildings
Development of a Model Specification for Performance Monitoring Systems for Commercial Buildings the development of a model specification for performance monitoring systems for commercial buildings capabilities in #12;commercial buildings by demonstrating the capabilities of commercially available technology
Transportation Sector Model of the National Energy Modeling System. Volume 1
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. The NEMS Transportation Model comprises a series of semi-independent models which address different aspects of the transportation sector. The primary purpose of this model is to provide mid-term forecasts of transportation energy demand by fuel type including, but not limited to, motor gasoline, distillate, jet fuel, and alternative fuels (such as CNG) not commonly associated with transportation. The current NEMS forecast horizon extends to the year 2010 and uses 1990 as the base year. Forecasts are generated through the separate consideration of energy consumption within the various modes of transport, including: private and fleet light-duty vehicles; aircraft; marine, rail, and truck freight; and various modes with minor overall impacts, such as mass transit and recreational boating. This approach is useful in assessing the impacts of policy initiatives, legislative mandates which affect individual modes of travel, and technological developments. The model also provides forecasts of selected intermediate values which are generated in order to determine energy consumption. These elements include estimates of passenger travel demand by automobile, air, or mass transit; estimates of the efficiency with which that demand is met; projections of vehicle stocks and the penetration of new technologies; and estimates of the demand for freight transport which are linked to forecasts of industrial output. Following the estimation of energy demand, TRAN produces forecasts of vehicular emissions of the following pollutants by source: oxides of sulfur, oxides of nitrogen, total carbon, carbon dioxide, carbon monoxide, and volatile organic compounds.
Forest Fire Model as a Supercritical Dynamic Model in Financial Systems
Recently, large-scale cascading failures in complex systems have garnered substantial attention. Such extreme events have been treated as an integral part of the self-organized criticality (SOC). Recent empirical work has suggested that some extreme events systematically deviate from the SOC paradigm, requiring a different theoretical framework. We shed additional theoretical light on this possibility by studying financial crisis. We build our model of financial crisis on the well-known forest fire model in scale-free networks. Our analysis shows a non-trivial scaling feature indicating supercritical behavior, which is independent of system size. Extreme events in the supercritical state result from bursting of a fat bubble, seeds of which are sown by a protracted period of a benign financial environment with few shocks. Our findings suggest that policymakers can control the magnitude of financial meltdowns by keeping the economy operating within reasonable duration of a benign environment.
Lee, Deokjae; Lee, Jeho; Kahng, B
Spreader-Bar Radiation Detection System Enhancements: A Modeling and Simulation Study
This report provides the modeling and simulation results of the investigation of enhanced spreader bar radiation detection systems.
Ely, James H.; Ashbaker, Eric D.; Batdorf, Michael T.; Baciak, James E.; Hensley, Walter K.; Jarman, Kenneth D.; Robinson, Sean M.; Sandness, Gerald A.; Schweppe, John E.
Neural Network Based Energy Storage System Modeling for Hybrid Electric Vehicles
Demonstrates the application of an artificial neural network (ANN) for modeling the energy storage system of a hybrid electric vehicle.
Bhatikar, S. R.; Mahajan, R. L.; Wipke, K.; Johnson, V.
of the operator is to design a INIS Descriptors BEHAVIOR; CONTROL ROOMS; CONTROL SYSTEMS; FLOW MODELS; HUMAN
Inferring Likelihoods and Climate System Characteristics from Climate Models and Multiple
the information contained in large-scale observational data sets with simulations of Earth system models in a sta
Haran, Murali
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.
Human performance modeling for system of systems analytics: combat performance-shaping factors.
The US military has identified Human Performance Modeling (HPM) as a significant requirement and challenge of future systems modeling and analysis initiatives. To support this goal, Sandia National Laboratories (SNL) has undertaken a program of HPM as an integral augmentation to its system-of-system (SoS) analytics capabilities. The previous effort, reported in SAND2005-6569, evaluated the effects of soldier cognitive fatigue on SoS performance. The current effort began with a very broad survey of any performance-shaping factors (PSFs) that also might affect soldiers performance in combat situations. The work included consideration of three different approaches to cognition modeling and how appropriate they would be for application to SoS analytics. This bulk of this report categorizes 47 PSFs into three groups (internal, external, and task-related) and provides brief descriptions of how each affects combat performance, according to the literature. The PSFs were then assembled into a matrix with 22 representative military tasks and assigned one of four levels of estimated negative impact on task performance, based on the literature. Blank versions of the matrix were then sent to two ex-military subject-matter experts to be filled out based on their personal experiences. Data analysis was performed to identify the consensus most influential PSFs. Results indicate that combat-related injury, cognitive fatigue, inadequate training, physical fatigue, thirst, stress, poor perceptual processing, and presence of chemical agents are among the PSFs with the most negative impact on combat performance.
Lawton, Craig R.; Miller, Dwight Peter
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 related to the production of the 1994 Annual Energy Outlook (AEO94) 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 two 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. The RFM consists of six analytical submodules that represent each of the major renewable energy resources -- wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. Of these six, four are documented in the following chapters: municipal solid waste, wind, solar and biofuels. Geothermal and wood are not currently working components of NEMS. The purpose of the RFM is to define the technological and cost characteristics of renewable energy technologies, and to pass these characteristics to other NEMS modules for the determination of mid-term forecasted renewable energy demand.
Quantifying uncertainty in LCA-modelling of waste management systems
Highlights: Black-Right-Pointing-Pointer Uncertainty in LCA-modelling of waste management is significant. Black-Right-Pointing-Pointer Model, scenario and parameter uncertainties contribute. Black-Right-Pointing-Pointer Sequential procedure for quantifying uncertainty is proposed. Black-Right-Pointing-Pointer Application of procedure is illustrated by a case-study. - Abstract: Uncertainty analysis in LCA studies has been subject to major progress over the last years. In the context of waste management, various methods have been implemented but a systematic method for uncertainty analysis of waste-LCA studies is lacking. The objective of this paper is (1) to present the sources of uncertainty specifically inherent to waste-LCA studies, (2) to select and apply several methods for uncertainty analysis and (3) to develop a general framework for quantitative uncertainty assessment of LCA of waste management systems. The suggested method is a sequence of four steps combining the selected methods: (Step 1) a sensitivity analysis evaluating the sensitivities of the results with respect to the input uncertainties, (Step 2) an uncertainty propagation providing appropriate tools for representing uncertainties and calculating the overall uncertainty of the model results, (Step 3) an uncertainty contribution analysis quantifying the contribution of each parameter uncertainty to the final uncertainty and (Step 4) as a new approach, a combined sensitivity analysis providing a visualisation of the shift in the ranking of different options due to variations of selected key parameters. This tiered approach optimises the resources available to LCA practitioners by only propagating the most influential uncertainties.
Clavreul, Julie, E-mail: email@example.com [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark); Guyonnet, Dominique [BRGM, ENAG BRGM-School, BP 6009, 3 Avenue C. Guillemin, 45060 Orleans Cedex (France); Christensen, Thomas H. [Department of Environmental Engineering, Technical University of Denmark, Miljoevej, Building 113, DK-2800 Kongens Lyngby (Denmark)
Modeling the reactive inorganic solute distributions in the groundwater flow systems of the Hanford Site using inverse analytical modeling techniques.
??Inverse analytical techniques were used to model solute distributions and determine transport parameters for two flow systems in the Yakima Basalt subgroup at the Hanford� (more)
Adamski, Mark Robert
Key to images: [1] Model system: fission yeast [2] Cryo-EM structure
Key to images: [1] Model system: fission yeast [2] Cryo-EM structure of the MCM helicase [3 combing [8] Model system: Xenopus [9] Extreme environments [10] Model system: C.elegans. Background image of the evolution of the replication machinery highlighted. BSRC B306 Email: email@example.com 1 2 3 4 5 6 7 8 9 10
Brierley, Andrew
Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution
Pollution Control in a Manufacturing System Stochastic Models for Analysis and Control of Air Pollution in a Manufacturing System Jan, 1, 2005 Technical Report SOPTL-05-01 Missouri University of Science models that can be used for controlling pollution in a manufacturing system. The models are developed
Gosavi, Abhijit
Modeling Mobile Agent Systems with High Level Petri Nets Dianxiang Xu and Yi Deng
Modeling Mobile Agent Systems with High Level Petri Nets Dianxiang Xu and Yi Deng School-based approach for architectural modeling of mobile agent systems. Agent template (net) is proposed to model as a component, consisting of mobility environment (system net), agent templates (agent nets), and internal
BLACK-BOX MODELLING OF HVAC SYSTEM: IMPROVING THE PERFORMANCES OF NEURAL NETWORKS Eric FOCK Ile de La Réunion - FRANCE ABSTRACT This paper deals with neural networks modelling of HVAC systems of HVAC system can be modelled using manufacturer design data presented as derived performance maps
Tile of the document: HVAC system component-based modeling and implementation
1 Abstract Tile of the document: HVAC system component-based modeling and implementation Karam the foundation for modeling components that are used in HVAC systems (heating, ventilation, and air conditioning such functionalities. #12;2 HVAC system component-based modeling and implementation By Karam H. Rajab Scholarly
Austin, Mark
Best practices for system dynamics model design and construction with powersim studio.
This guide addresses software quality in the construction of Powersim{reg_sign} Studio 8 system dynamics simulation models. It is the result of almost ten years of experience with the Powersim suite of system dynamics modeling tools (Constructor and earlier Studio versions). It is a guide that proposes a common look and feel for the construction of Powersim Studio system dynamics models.
Malczynski, Leonard A.
An efficient numerical terrestrial scheme (ENTS) for fast earth system modelling
An efficient numerical terrestrial scheme (ENTS) for fast earth system modelling Mark Williamson Working Paper 83 #12;An efficient numerical terrestrial scheme (ENTS) for fast earth system modelling Mark for long time period simulations and large ensemble studies in Earth system models of intermediate
Williamson, Mark
A Model and Simulation of Competitive Electric Power Systems Martin W. Lin, Enron Corporation, Manager Research
A Model and Simulation of Competitive Electric Power Systems Martin W. Lin, Enron Corporation Abstract-- A framework for analyzing competitive electric power systems has been developed. A model Competitive Electric Power System Model (GCEPSM), incorporate object classes to represent basic market players
Baldick, Ross
Solar-hydrogen energy system model for Libya
A solar-hydrogen energy-system model for Libya was developed, obtaining relationships for and between the main energy and energy related parameters of Libya and the world. The parameters included are: population, energy demand, fossil-fuel production, fossil-fuel resources, hydrogen production, hydrogen introduction rates, energy prices, gross domestic product, pollution and quality of life. The trends of these parameters with and without hydrogen introduction were investigated over a period of time - through the year 2100. The results indicate that the fossil-fuel resources in Libya could be exhausted, due to production for local and export demands, within three to four decades unless serious measures for reducing production are taken. The results indicate that adopting solar-hydrogen energy system would extend the availability of fossil-fuel resources for a longer time period, reduce pollution, improve quality of life and establish a permanent energy system for Libya. It also shows that eventually Libya could export hydrogen in lieu of oil and natural gas.
Eljrushi, G.S.
Campus Sustainability Planetary Health Ecological Design Social and Environmental Enterprise Incuba-tion EcoVillages Sustainable Food Systems Ecoliteracy Solutions Journal Campus Systems Model Energy
Villages Sustainable Food Systems Ecoliteracy Solutions Journal Campus Systems Model Energy Conservation, Efficiency1 Campus Sustainability Planetary Health Ecological Design Social and Environmental Enterprise Incuba- tion EcoVillages Sustainable Food Systems Ecoliteracy Solutions Journal Campus Systems Model
Hayden, Nancy J.
FORMAL SEMANTICS AND VERIFICATION OF DYNAMIC RELIABILITY BLOCK DIAGRAMS FOR SYSTEM RELIABILITY captured by existing reliability modeling tools. In this paper, we introduce a new reliability modeling tool, called dynamic reliability block diagrams (DRBD), for modeling dynamic relationships between
Xu, Haiping
Modeling the transient operation of an endothermic fuel cooling system for high Mach number vehicle missions
A computer model was developed to simulate the transient operation of a hypothetical endothermic fuel cooling system. The model simulated the performance of a cross-flow, shell and tube heat exchanger. This model was applied to a representative...
Williams, Mark Robert
Sandia National Laboratories: Tutorial on PV System Modeling
Generator Modeling Radar Friendly Blades Special Programs Techno-Economic Modeling, Analysis, and Support Analysis, Modeling, Cost of Energy, and Policy Impact: Wind Vision 2014...
Model-Integrated Embedded Systems Akos Ledeczi, Arpad Bakay, and Miklos Maroti
and systems management during the entire life cycle of the system [7]. Partly to accomplish these and also software systems. Making the design- time models available at run-time benefits the development of dynamicModel-Integrated Embedded Systems Akos Ledeczi, Arpad Bakay, and Miklos Maroti Institute
Mar�ti, Mikl�s
2.141 Modeling and Simulation of Dynamic Systems, Fall 2002
Mathematical modeling of complex engineering systems at a level of detail compatible with the design and implementation of modern control systems. Wave-like and diffusive energy transmission systems. Multiport energy storing ...
Hogan, Neville John
Application of black-box models to HVAC systems for fault detection
This paper describes the application of black-box models for fault detection and diagnosis (FDD) in heating, ventilating, and air-conditioning (HVAC) systems. In this study, multiple-input/single-output (MISO) ARX models and artificial neural network (ANN) models are used. The ARX models are examined for different processes and subprocesses and compared with each other. Two types of models are established--system models and component models. In the case of system models, the HVAC system as a whole is regarded as a black box instead of as a collection of component models. With the component model type, the components of the HVAC system are regarded as separate black boxes.
Peitsman, H.C. [TNO Building and Construction Research, Delft (Netherlands). Dept. of Indoor Environment, Building Physics and Systems; Bakker, V.E. [Univ. of Twente, Enschede (Netherlands). Dept. of Computer Science
Exact results for ionization of model atomic systems
We review recent rigorous results concerning the ionization of model quantum systems by time-periodic external fields. The systems we consider consist of a single particle (electron) with a reference Hamiltonian H{sub 0}=-{delta}+V{sub 0}(x) (x is an element of R{sup d}) having both bound and continuum states. Starting from an initially localized state {psi}{sub 0}(x) is an element of L{sup 2}(R{sup d}), the system is subjected for t{>=}0 to an arbitrary strength time-periodic potential V{sub 1}(x,t)=V{sub 1}(x,t+2{pi}/{omega}). We prove that for a large class of V{sub 0}(x) and V{sub 1}(x,t), the wave function {psi}(x,t) will delocalize as t{yields}{infinity}, i.e., the system will ionize. The only exceptions are cases where there are time-periodic bound states of the Floquet operator associated with H{sub 0}+V{sub 1}. These do occur (albeit rarely) when V{sub 1} is not small. For spatially rapidly decaying V{sub 0} and V{sub 1}, {psi}(x,t) is generally given, for very long times, by a power series in t{sup -1/2} which we prove in some cases to be Borel summable. For the Coulomb potential V{sub 0}(x)=-b|x|{sup -1} in R{sup 3}, we prove ionization for V{sub 1}(x,t)=V{sub 1}(|x|)sin({omega}t-{theta}), V{sub 1}(|x|)=0 for |x|>R and V{sub 1}(x)>0 for |x|{<=}R. For this model, if {psi}{sub 0} is compactly supported both in x and in angular momentum, L, we obtain that {psi}(x,t){approx}O(t{sup -5/6}) as t{yields}{infinity}.
Costin, O.; Tanveer, S. [Department of Mathematics, Ohio State University, Columbus, Ohio 43210 (United States); Lebowitz, J. L. [Department of Mathematics, Rutgers University, Piscataway, New Jersey 08854 (United States); Department of Physics, Rutgers University, Piscataway, New Jersey 08854 (United States); Stucchio, C. [Courant Institute, New York University, New York, New York 10276 (United States)
Stormwater and Urban Water Systems Modeling Conference. In: Models and Applications to Urban Water Systems, Vol. 12 (edited by W. James). CHI. Guelph, Ontario, pp. 257 294. 2004.
Stormwater and Urban Water Systems Modeling Conference. In: Models and Applications to Urban Water AND EXAMINATION OF A MUNICIPAL SEPARATE STORM SEWER SYSTEM DATABASE Robert Pitt, Alex Maestre, Renee Morquecho of Water 104(b)3 grant in 2001 to collect and evaluate stormwater data from a representative number
Pitt, Robert E.
Development of a natural gas systems analysis model (GSAM)
This report provides an overview of the activities to date and schedule for future testing, validation, and authorized enhancements of Natural Gas Systems Analysis Model (GSAM). The goal of this report is to inform DOE managers of progress in model development and to provide a benchmark for ongoing and future research. Section II of the report provides a detailed discussion on the major GSAM development programs performed and completed during the period of performance, July 1, 1998 to September 30, 1999. Key improvements in the new GSAM version are summarized in Section III. Programmer's guides for GSAM main modules were produced to provide detailed descriptions of all major subroutines and main variables of the computer code. General logical flowcharts of the subroutines are also presented in the guides to provide overall picture of interactions between the subroutines. A standard structure of routine explanation is applied in every programmer's guide. The explanation is started with a brief description or main purpose of the routine, lists of input and output files read and created, and lists of invoked/child and calling/parent routines. In some of the guides, interactions between the routine itself and its parent and child routines are presented in the form of graphical flowchart. The explanation is then proceeded with step by step description of computer code in the subroutine where each step delegates a section of related code. Between steps, if a certain section of code needs further explanation, a Note is inserted with relevant explanation.
Constructing warm inflationary model in brane-antibrane system
Recently, various observational data predict a possibility that inflation may naturally occur in a warm region. In this scenario, radiation is produced during the inflation epoch and reheating is avoided. The main question arises that what is the origin of warm inflation in 4D universe? We answer to this question in brane-antibrane system. We propose a model that allows all cosmological parameters like the scale factor a, the Hubble parameter H and phantom energy density depend on the equation of state parameter in transverse dimension between two branes. Thus, an enhancement in these parameters can be a signature of some evolutions in extra dimension. In our model, the expansion of 4D universe is controlled by the separation distance between branes and evolves from non-phantom phase to phantom one. Consequently, phantom-dominated era of the universe accelerates and ends up in big-rip singularity. Also, we show that as the tachyon potential increases, the effect of interaction between branes on the 4D universe expansion becomes systematically more effective, because at higher energies there exists more channels for flowing energy from extra dimension to other four dimensions. Finally, we test our model against WMAP and Planck data and obtain the ripping time. According to experimental data, $N\\simeq 50$ case leads to $n_{s}\\simeq 0.96$, where \\emph{N} and $n_{s}$ are the number e-folds and the spectral index respectively. This standard case may be found in $0.01 occurs is $t_{rip}=33(Gyr)$.
M. R. Setare; A. Sepehri; V. Kamali
Magnetic field diffusion modeling of a small enclosed firing system
Intense magnetic fields exist in the immediate vicinity of a lightning strike (and near power lines). Conducting barriers increase the rise time (and thus decrease the rise rate) interior to the barrier, but typically do not prevent penetration of the magnetic field, since the lightning current fall time may be larger than the barrier diffusion time. Thus, substantial energy is present in the interior field, although the degradation of rise rate makes it more difficult to couple into electrical circuits. This report assesses the threat posed by the diffusive magnetic field to interior components and wire loops (where voltages are induced). Analytical and numerical bounding analyses are carried out on a pill box shaped conducting barrier to develop estimates for the worst case magnetic field threats inside the system. Worst case induced voltages and energies are estimated and compared with threshold charge voltages and energies on the output capacitor of the system. Variability of these quantities with respect to design parameters are indicated. The interior magnetic field and induced voltage estimates given in this report can be used as excitations for more detailed interior and component models.
Warne, L.K.; Merewether, K.O.
The Community Land Model and Its Climate Statistics as a Component of the Community Climate System Model
to the Fourth Assessment Report (AR4) by the Intergovernmental Panel on Climate Change [IPCC; i.e., the followThe Community Land Model and Its Climate Statistics as a Component of the Community Climate System carried out with the new version of the Community Climate System Model (CCSM). This paper reports
Hoffman, Forrest M.
Analysis of permafrost thermal dynamics and response to climate change in the CMIP5 Earth System Models
coupled climate-carbon earth system models part i: PhysicalChange�in�the�CMIP5�Earth�System�Models� Koven, C.D. , W.J.output from a set of Earth System Models (ESMs) (Table 1)
Koven, C.D.
Comparative evaluation of network flow programming and conventional reservoir system simulation models
ANALYSIS MODELS Operating river/reservoir systems in an optimal manner is an important and com- plex area of water resources planning and management. Reservoir system operation involves: allocating storage capacity and water resources between multiple... broad array of analysis capabilities, have been developed over the past several decades to support planning studies and management decisions. Reservoir system analysis models can be categorized as (I) simulation models, (2) optimization models...
Yerramreddy, Anilkumar
P50/P90 Analysis for Solar Energy Systems Using the System Advisor Model: Preprint
To secure competitive financing for a solar energy generation project, the economic risk associated with interannual solar resource variability must be quantified. One way to quantify this risk is to calculate exceedance probabilities representing the amount of energy expected to be produced by a plant. Many years of solar radiation and metereological data are required to determine these values, often called P50 or P90 values for the level of certainty they represent. This paper describes the two methods implemented in the National Renewable Energy Laboratory's System Advisor Model (SAM) to calculate P50 and P90 exceedance probabilities for solar energy projects. The methodology and supporting data sets are applicable to photovoltaic, solar water heating, and concentrating solar power (CSP) systems.
Dobos, A. P.; Gilman, P.; Kasberg, M.
Fusion hierarchies, T-systems and Y-systems of logarithmic minimal models
A Temperley-Lieb (TL) loop model is a Yang-Baxter integrable lattice model with nonlocal degrees of freedom. On a strip of width N, the evolution operator is the double-row transfer tangle D(u), an element of the TL algebra TL_N(beta) with loop fugacity beta=2cos(lambda). Similarly on a cylinder, the single-row transfer tangle T(u) is an element of the enlarged periodic TL algebra. The logarithmic minimal models LM(p,p') comprise a subfamily of the TL loop models for which the crossing parameter lambda=(p'-p)pi/p' is parameterised by coprime integers 0LM(1,2), D(u) and T(u) are known to satisfy inversion identities that allow us to obtain exact eigenvalues in any representation and for all system sizes N. The generalisation for p'>2 takes the form of functional relations for D(u) and T(u) of polynomial degree p'. These derive from fusion hierarchies of commuting transfer tangles D^{m,n}(u) and T^{m,n}(u) where D(u)=D^{1,1}(u) and T(u)=T^{1,1}(u). The fused transfer tangles are constructed from (m,n)-fused face operators involving Wenzl-Jones projectors P_k on k=m or k=n nodes. Some projectors P_k are singular for k>p'-1, but we argue that D^{m,n}(u) and T^{m,n}(u) are well defined for all m,n. For generic lambda, we derive the fusion hierarchies and the associated T- and Y-systems. For the logarithmic theories, the closure of the fusion hierarchies at n=p' translates into functional relations of polynomial degree p' for D^{m,1}(u) and T^{m,1}(u). We also derive the closure of the Y-systems for the logarithmic theories. The T- and Y-systems are the key to exact integrability and we observe that the underlying structure of these functional equations relate to Dynkin diagrams of affine Lie algebras.
Alexi Morin-Duchesne; Paul A. Pearce; Jorgen Rasmussen
Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5
Climate change projections using the IPSL-CM5 Earth System Model: from CMIP3 to CMIP5 J relevant to the climate system, it may be referred to as an Earth System Model. However, the IPSL-CM5 model climate and Earth System Models, both developed in France and contributing to the 5th coupled model
Codron, Francis
Toward an Earth System Modeling Approach to Simulate Irrigation...
Office of Science (SC) Website
the Community Land Model version 4 (CLM4) against observations from agricultural census data, improving the model's simulations of hydrological changes resulting from irrigation...
Runtime Tracing of The Community Earth System Model: Feasibility and Benefits
Community Earth System Models (CESM) is one of US's leading earth system modeling systems, which has over decades of development history and embraced by large, active user communities. In this paper, we first review the history of CESM software development and layout the general objectives of performance analysis. Then we present an offline global community land model simulation within the CESM framework to demonstrate the procedure of runtime tracing of CESM using the Vampir toolset. Finally, we explain the benefits of runtime tracing to the general earth system modeling community. We hope those considerations can also be beneficial to many other modeling research programs involving legacy high-performance computing applications.
Wang, Dali [ORNL] [ORNL; Domke, Jens [ORNL] [ORNL
Model-Based Hierarchical Optimal Control Design for HVAC Systems
trol algorithm design for hvac systems in energy efficientH.R. Sualem. Building and HVAC System simulation with theOPTIMAL CONTROL DESIGN FOR HVAC SYSTEMS Mehdi Maasoumy,
Maasoumy, Mehdi; Pinto, Alessandro; Sangiovanni-Vincentelli, Alberto
Model for a web based medical technology assessment system
will form the backbone of this system. Various queries can be run to produce the desired results. This system will provide a means for assessing the currently available medical technology. Based on the information present in the system clinical engineers...
Prabhu, Gopal
Use of discrete choice models with recommender systems
Recommender systems, also known as personalization systems, are a popular technique for reducing information overload and finding items that are of interest to the user. Increasingly, people are turning to these systems ...
Chaptini, Bassam H., 1978-
A Model-Driven Home Heating Control System Alexandre Demeure Galle Calvary Jean-Sbastien Sottet
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Tachi, Susumu
Dynamic Code Overlay of SDF-Modeled Programs on Low-end Embedded Systems
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Ha, Soonhoi
MODELLING OF SUPERSONIC GAS FLOW OF NOZZLES FOR LASER CUTTING SYSTEMS I. Dohnke1 , D. Peter1 , J. The supersonic gas flow of nozzles for laser cutting systems has been modelled with CFD simulations% and maintaining the cutting quality compared to our standard product. Keywords: modelling of gas flow behaviour
IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 6, DECEMBER 2000 665 Fuzzy Model Predictive Control
. Index Terms--Control system design, fuzzy logic, model predic- tive control. I. INTRODUCTION MODELIEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 8, NO. 6, DECEMBER 2000 665 Fuzzy Model Predictive Control computational effort that may prohibit its on-line applications. In this paper, a fuzzy model predictive control
Huang, Yinlun
Semi-distributed lumped model of a karst system under active1 management2
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Formal Modelling and Analysis of Behaviour Grading within a Peer-to-peer Storage System
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Validation of 3D Radiative Transfer in Coastal-Ocean Water Systems as Modeled by DIRSIG
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ENERGY MODELING OF A LEAD-ACID BATTERY WITHIN HYBRID WIND / PHOTOVOLTAIC SYSTEMS O. GERGAUD, G Abstract: Within the scope of full-scale energy modeling of a hybrid wind / photovoltaic system coupled-power hybrid wind/photovoltaic production system (20 ASE modules for a 2- kW polycrystalline silicon peak
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A Supply-Demand Model Based Scalable Energy Management System for Improved Energy
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Thermal modeling and temperature control of a PEM fuel cell system for forklift applications
Thermal modeling and temperature control of a PEM fuel cell system for forklift applications simulation System modeling and control PEMFC a b s t r a c t Temperature changes in PEM fuel cell stacks. Stack thermal management and control are, thus, crucial issues in PEM fuel cell systems especially
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Marrying Features and Use Cases for Product Line Requirements Modeling of Embedded Systems Magnus published approaches for product line development today has software, not system, focus. In this paper we software product line development is to introduce domain modeling and requirements reuse within the systems
Börstler, Jürgen
A Conceptual Model for Production Leveling (Heijunka) Implementation in Batch Production Systems
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and Mehry Yazdanian. Comparisons of HVAC Simulations betweeninformation Comparison of HVAC System Simulations inCLT (kW) Comparison of HVAC System Simulations in Different
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Modeling and Measurement Constraints in Fault Diagnostics for HVAC Systems
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Modeling, Estimation, and Control of Waste Heat Recovery Systems
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Luong, David
The NOAA National Operational Model Archive and Distribution System -NOMADS
for access to real-time and retrospective high volume numerical weather prediction and climate models been on weather and reanalysis. Plans to support climate models and associated observational data a unified climate and weather model archive providing format independent access to retrospective models
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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 Annual Energy Outlook 1998 (AEO98) 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. For AEO98, the RFM was modified in three principal ways, introducing capital cost elasticities of supply for new renewable energy technologies, modifying biomass supply curves, and revising assumptions for use of landfill gas from municipal solid waste (MSW). In addition, the RFM was modified in general to accommodate projections beyond 2015 through 2020. Two supply elasticities were introduced, the first reflecting short-term (annual) cost increases from manufacturing, siting, and installation bottlenecks incurred under conditions of rapid growth, and the second reflecting longer term natural resource, transmission and distribution upgrade, and market limitations increasing costs as more and more of the overall resource is used. Biomass supply curves were also modified, basing forest products supplies on production rather than on inventory, and expanding energy crop estimates to include states west of the Mississippi River using information developed by the Oak Ridge National Laboratory. Finally, for MSW, several assumptions for the use of landfill gas were revised and extended.
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 1995 Annual Energy Outlook (AEO95) 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 RFM consists of six analytical submodules that represent each of the major renewable energy resources--wood, municipal solid waste (MSW), solar energy, wind energy, geothermal energy, and alcohol fuels. The RFM also reads in hydroelectric facility capacities and capacity factors from a data file for use by the NEMS Electricity Market Module (EMM). The purpose of the RFM is to define the technological, cost and resource size characteristics of renewable energy technologies. These characteristics are used to compute a levelized cost to be competed against other similarly derived costs from other energy sources and technologies. The competition of these energy sources over the NEMS time horizon determines the market penetration of these renewable energy technologies. The characteristics include available energy capacity, capital costs, fixed operating costs, variable operating costs, capacity factor, heat rate, construction lead time, and fuel product price.
Integrated dynamic landscape analysis and modeling system (IDLAMS) : installation manual.
The Integrated Dynamic Landscape Analysis and Modeling System (IDLAMS) is a prototype, integrated land management technology developed through a joint effort between Argonne National Laboratory (ANL) and the US Army Corps of Engineers Construction Engineering Research Laboratories (USACERL). Dr. Ronald C. Sundell, Ms. Pamela J. Sydelko, and Ms. Kimberly A. Majerus were the principal investigators (PIs) for this project. Dr. Zhian Li was the primary software developer. Dr. Jeffrey M. Keisler, Mr. Christopher M. Klaus, and Mr. Michael C. Vogt developed the decision analysis component of this project. It was developed with funding support from the Strategic Environmental Research and Development Program (SERDP), a land/environmental stewardship research program with participation from the US Department of Defense (DoD), the US Department of Energy (DOE), and the US Environmental Protection Agency (EPA). IDLAMS predicts land conditions (e.g., vegetation, wildlife habitats, and erosion status) by simulating changes in military land ecosystems for given training intensities and land management practices. It can be used by military land managers to help predict the future ecological condition for a given land use based on land management scenarios of various levels of training intensity. It also can be used as a tool to help land managers compare different land management practices and further determine a set of land management activities and prescriptions that best suit the needs of a specific military installation.
Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.
Integrated dynamic landscape analysis and modeling system (IDLAMS) : programmer's manual.
Klaus, C. M.; Li, Z.; Majerus, K. A.; Sundell, R. C.; Sydelko, P. J.; Vogt, M. C.
Atmospheric Carbon Dioxide Variability in the Community Earth System Model: Evaluation and Transient Dynamics during the Twentieth and Twenty-First Centuries
predictions from CMIP5 Earth system models and comparisonin the Community Earth System Model: Evaluation andusing the Community Earth System Model�Biogeochemistry (
Attack Models and Scenarios for Networked Control Systems
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Simulation and Modeling Techniques for Signal Integrity and Electromagnetic Interference on High Frequency Electronic Systems.
Simulation and Modeling Techniques for Signal Integrity and Electromagnetic Interference on High and Modeling Techniques for Signal Integrity and Electromagnetic Interference on High Frequency Electronic Integrity and Electromagnetic Interference on High Frequency Electronic Systems. by Luca Daniel Doctor
Daniel, Luca
Reliability Modeling and Simulation of Composite Power Systems with Renewable Energy Resources and Storage
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Kim, Hagkwen
Networking technology adoption : system dynamics modeling of fiber-to-the-home
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Kelic, Andjelka, 1972-
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Adejuwon, Adeyemi
Production and maintenance planning for electricity generators: modeling and application to Indian power systems
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A simulation model of a multi-server EJB system David Mc Guinness, Performance Engineering sparse. This paper will describe how WorkbenchTM , an advanced simulation modelling tool, can be used
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Stadtherr, Mark A.
A New Approach to Fuzzy Modeling and Control of Discrete-Time Systems
], the advantage of fuzzy logic in modeling and control is in the ability to combine modeling (constructingA New Approach to Fuzzy Modeling and Control of Discrete-Time Systems Michael Margaliot and Gideon Langholz #3; Abstract We present a new approach to fuzzy modeling and control of discrete-time sys- tems
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Modeling Methodology for Component Reuse and System Integration for Hurricane Loss Projection Application
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A Modular Visual Model for Hybrid Systems Radu Grosu, Thomas Stauner and Manfred Broy
, but also because hybrid systems are naturally decomposed into the system itself and its environment. Based by BMW, is to control the chassis level of an automobile by a pneumatic suspension. The abstract model
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E-Print Network 3.0 - atmospheric modeling system Sample Search...
1, December 2010 draft Summary: is to integrate atmospheric chemistry into Earth System Models (ESMs) that attempt to fully couple the physics... Guy P. Brasseur and Daniel...
Pressure pulsations in reciprocating pump piping systems Part 1: Modelling
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Shu, Jian-Jun; Edge, Kevin A
Modeling of Solar-Powered Single-Effect Absorption Cooling System and Supermarket Refrigeration/HVAC System.
??This thesis consists of two different research problems. In the first one, the aim is to model and simulate a solar-powered, single-effect, absorption refrigeration system� (more)
Bahman, Ammar
Stochastic Modeling of a Power-Managed System: Construction and Optimization
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elements convert the thermal power generated by the core into electrical power to be supplied to the load. Some recent designs ol' space nuclear reactors investi- gate single loop systems operating with direct in-core thermionic conversion. CENTAR... CHAPTER I INTRODUCTION . Objectives and Methodology . . Thesis Organization Literature Review II CENTAR SIMULATION CODE FOR SPACE NUCLEAR POWER SYSTEMS III TOPAZ II SPACE NUCLEAR POWER SYSTEM. . . . . System Layout. Nuclear Core...
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141 Open ORC Systemfor Open Organic Rankine Cycle (ORC)138 Evaporatorof an Organic Rankine Cycle (ORC) System for Waste Heat
CBE EnergyPlus Modeling Methods for UFAD Systems
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Webster, Tom; Bauman, Fred; Lee, Kwang Ho; Schiavon, Stefano; Daly, Alan; Hoyt, Tyler
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Constrained Hamiltonian description of the classical limit is utilized in order to derive consistent dynamical equations for hybrid quantum-classical systems. Starting with a compound quantum system in the Hamiltonian formulation conditions for classical behavior are imposed on one of its subsystems and the corresponding hybrid dynamical equations are derived. The presented formalism suggests that the hybrid systems have properties that are not exhausted by those of quantum and classical systems.
M. Radonjic; S. Prvanovic; N. Buric
A system analysis computer model for the High Flux Isotope Reactor (HFIRSYS Version 1)
A system transient analysis computer model (HFIRSYS) has been developed for analysis of small break loss of coolant accidents (LOCA) and operational transients. The computer model is based on the Advanced Continuous Simulation Language (ACSL) that produces the FORTRAN code automatically and that provides integration routines such as the Gear`s stiff algorithm as well as enabling users with numerous practical tools for generating Eigen values, and providing debug outputs and graphics capabilities, etc. The HFIRSYS computer code is structured in the form of the Modular Modeling System (MMS) code. Component modules from MMS and in-house developed modules were both used to configure HFIRSYS. A description of the High Flux Isotope Reactor, theoretical bases for the modeled components of the system, and the verification and validation efforts are reported. The computer model performs satisfactorily including cases in which effects of structural elasticity on the system pressure is significant; however, its capabilities are limited to single phase flow. Because of the modular structure, the new component models from the Modular Modeling System can easily be added to HFIRSYS for analyzing their effects on system`s behavior. The computer model is a versatile tool for studying various system transients. The intent of this report is not to be a users manual, but to provide theoretical bases and basic information about the computer model and the reactor.
Sozer, M.C.
Advanced High-Temperature Reactor Dynamic System Model Development: April 2012 Status
The Advanced High-Temperature Reactor (AHTR) is a large-output fluoride-salt-cooled high-temperature reactor (FHR). An early-phase preconceptual design of a 1500 MW(e) power plant was developed in 2011 [Refs. 1 and 2]. An updated version of this plant is shown as Fig. 1. FHRs feature low-pressure liquid fluoride salt cooling, coated-particle fuel, a high-temperature power cycle, and fully passive decay heat rejection. The AHTR is designed to be a �walk away� reactor that requires no action to prevent large off-site releases following even severe reactor accidents. This report describes the development of dynamic system models used to further the AHTR design toward that goal. These models predict system response during warmup, startup, normal operation, and limited off-normal operating conditions. Severe accidents that include a loss-of-fluid inventory are not currently modeled. The scope of the models is limited to the plant power system, including the reactor, the primary and intermediate heat transport systems, the power conversion system, and safety-related or auxiliary heat removal systems. The primary coolant system, the intermediate heat transport system and the reactor building structure surrounding them are shown in Fig. 2. These systems are modeled in the most detail because the passive interaction of the primary system with the surrounding structure and heat removal systems, and ultimately the environment, protects the reactor fuel and the vessel from damage during severe reactor transients. The reactor silo also plays an important role during system warmup. The dynamic system modeling tools predict system performance and response. The goal is to accurately predict temperatures and pressures within the primary, intermediate, and power conversion systems and to study the impacts of design changes on those responses. The models are design tools and are not intended to be used in reactor qualification. The important details to capture in the primary system relate to flows within the reactor vessel during severe events and the resulting temperature profiles (temperature and duration) for major components. Critical components include the fuel, reactor vessel, primary piping, and the primary-to-intermediate heat exchangers (P-IHXs). The major AHTR power system loops are shown in Fig. 3. The intermediate heat transfer system is a group of three pumped salt loops that transports the energy produced in the primary system to the power conversion system. Two dynamic system models are used to analyze the AHTR. A Matlab/Simulink?-based model initiated in 2011 has been updated to reflect the evolving design parameters related to the heat flows associated with the reactor vessel. The Matlab model utilizes simplified flow assumptions within the vessel and incorporates an empirical representation of the Direct Reactor Auxiliary Cooling System (DRACS). A Dymola/Modelica? model incorporates a more sophisticated representation of primary coolant flow and a physics-based representation of the three-loop DRACS thermal hydraulics. This model is not currently operating in a fully integrated mode. The Matlab model serves as a prototype and provides verification for the Dymola model, and its use will be phased out as the Dymola model nears completion. The heat exchangers in the system are sized using spreadsheet-based, steady-state calculations. The detail features of the heat exchangers are programmed into the dynamic models, and the overall dimensions are used to generate realistic plant designs. For the modeling cases where the emphasis is on understanding responses within the intermediate and primary systems, the power conversion system may be modeled as a simple boundary condition at the intermediate-to-power conversion system heat exchangers.
Qualls, A.L.; Cetiner, M.S.; Wilson, T.L., Jr.
Physics of Aquatic Systems II, 9. Modeling Universitt HeidelbergInstitut fr Umweltphysik Physics of Aquatic Systems II
HeidelbergInstitut f�r Umweltphysik 5 Influence of mixing on transient gas tracer ages � 2-comp. mixing Mook, 2001 Example: Mixing of fast and slow runoff components in a river Physics of Aquatic Systems II, 9. Modeling Universit�t HeidelbergInstitut f�r Umweltphysik 10 Mixed reactor model (exponential
Aeschbach-Hertig, Werner
Introducing WISDEM:An Integrated System Modeling for Wind Turbines and Plant (Presentation)
The National Wind Technology Center wind energy systems engineering initiative has developed an analysis platform to leverage its research capabilities toward integrating wind energy engineering and cost models across wind plants. This Wind-Plant Integrated System Design & Engineering Model (WISDEM) platform captures the important interactions between various subsystems to achieve a better National Wind Technology Center wind energy systems engineering initiative has developed an analysis platform to leverage its research capabilities toward integrating wind energy engineering and cost models across wind plants. This Wind-Plant Integrated System Design & Engineering Model (WISDEM) platform captures the important interactions between various subsystems to achieve a better understanding of how to improve system-level performance and achieve system-level cost reductions. This work illustrates a few case studies with WISDEM that focus on the design and analysis of wind turbines and plants at different system levels.
Dykes, K.; Graf, P.; Scott, G.; Ning, A.; King, R.; Guo, Y.; Parsons, T.; Damiani, R.; Felker, F.; Veers, P.
CS 525: Advanced Database Organization Study of relational, semantic, and object-oriented data models and interfaces. Database management system
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Heller, Barbara
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performance computing systems. The CCSM has evolved recently to become a first-generation Earth system model, and has been renamed the Community Earth System Model (CESM). The CESM will be used to explore new science
aggregated systems model: Topics by E-print Network
Dieter Mayrhofer Institute of email@example.com Abstract. Inter-organizational business process models are created and used by different partner networks 447...
Economic and Distributed Model Predictive Control of Nonlinear Systems
R. Amrit. Optimizing process economic performance us- ing2 Economic Model Predictive Control of Nonlinear Processof MPC and economic optimization of processes (e.g. , [2,
Heidarinejad, Mohsen
- Very limited transient engines and emissions models for PHEV simulations - PHEV optimization needs to include advanced engine combustion modes and emissions controls * Partners...
Experimental Studies for DPF and SCR Model, Control System, and...
Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting ace028johnson2012o.pdf More Documents & Publications Experimental Studies for DPF and SCR Model,...
and Vehicle Technologies Program Annual Merit Review and Peer Evaluation ace028johnson2011o.pdf More Documents & Publications Experimental Studies for DPF and SCR Model,...
Thermal model of attic systems with radiant barriers
This report summarizes the first phase of a project to model the thermal performance of radiant barriers. The objective of this phase of the project was to develop a refined model for the thermal performance of residential house attics, with and without radiant barriers, and to verify the model by comparing its predictions against selected existing experimental thermal performance data. Models for the thermal performance of attics with and without radiant barriers have been developed and implemented on an IBM PC/AT computer. The validity of the models has been tested by comparing their predictions with ceiling heat fluxes measured in a number of laboratory and field experiments on attics with and without radiant barriers. Cumulative heat flows predicted by the models were usually within about 5 to 10 percent of measured values. In future phases of the project, the models for attic/radiant barrier performance will be coupled with a whole-house model and further comparisons with experimental data will be made. Following this, the models will be utilized to provide an initial assessment of the energy savings potential of radiant barriers in various configurations and under various climatic conditions. 38 refs., 14 figs., 22 tabs.
Wilkes, K.E.
Steam Turbine . . . . . .and A. Ghaffari. �Steam Turbine Model. � Simulation= m ? v (h in ? h out ) Steam Turbine As with the pump, the
Ultrafast Structural Dynamics in Combustion Relevant Model Systems
The research project explored the time resolved structural dynamics of important model reaction system using an array of novel methods that were developed specifically for this purpose. They include time resolved electron diffraction, time resolved relativistic electron diffraction, and time resolved Rydberg fingerprint spectroscopy. Toward the end of the funding period, we also developed time-resolved x-ray diffraction, which uses ultrafast x-ray pulses at LCLS. Those experiments are just now blossoming, as the funding period expired. In the following, the time resolved Rydberg Fingerprint Spectroscopy is discussed in some detail, as it has been a very productive method. The binding energy of an electron in a Rydberg state, that is, the energy difference between the Rydberg level and the ground state of the molecular ion, has been found to be a uniquely powerful tool to characterize the molecular structure. To rationalize the structure sensitivity we invoke a picture from electron diffraction: when it passes the molecular ion core, the Rydberg electron experiences a phase shift compared to an electron in a hydrogen atom. This phase shift requires an adjustment of the binding energy of the electron, which is measurable. As in electron diffraction, the phase shift depends on the molecular, geometrical structure, so that a measurement of the electron binding energy can be interpreted as a measurement of the molecule�s structure. Building on this insight, we have developed a structurally sensitive spectroscopy: the molecule is first elevated to the Rydberg state, and the binding energy is then measured using photoelectron spectroscopy. The molecule�s structure is read out as the binding energy spectrum. Since the photoionization can be done with ultrafast laser pulses, the technique is inherently capable of a time resolution in the femtosecond regime. For the purpose of identifying the structures of molecules during chemical reactions, and for the analysis of molecular species in the hot environments of combustion processes, there are several features that make the Rydberg ionization spectroscopy uniquely useful. First, the Rydberg electron�s orbit is quite large and covers the entire molecule for most molecular structures of combustion interest. Secondly, the ionization does not change vibrational quantum numbers, so that even complicated and large molecules can be observed with fairly well resolved spectra. In fact, the spectroscopy is blind to vibrational excitation of the molecule. This has the interesting consequence for the study of chemical dynamics, where the molecules are invariably very energetic, that the molecular structures are observed unobstructed by the vibrational congestion that dominates other spectroscopies. This implies also that, as a tool to probe the time-dependent structural dynamics of chemically interesting molecules, Rydberg spectroscopy may well be better suited than electron or x-ray diffraction. With recent progress in calculating Rydberg binding energy spectra, we are approaching the point where the method can be evolved into a structure determination method. To implement the Rydberg ionization spectroscopy we use a molecular beam based, time-resolved pump-probe multi-photon ionization/photoelectron scheme in which a first laser pulse excites the molecule to a Rydberg state, and a probe pulse ionizes the molecule. A time-of-flight detector measures the kinetic energy spectrum of the photoelectrons. The photoelectron spectrum directly provides the binding energy of the electron, and thereby reveals the molecule�s time-dependent structural fingerprint. Only the duration of the laser pulses limits the time resolution. With a new laser system, we have now reached time resolutions better than 100 fs, although very deep UV wavelengths (down to 190 nm) have slightly longer instrument functions. The structural dynamics of molecules in Rydberg-excited states is obtained by delaying the probe ionization photon from the pump photon; the structural dynamics of molecules in their ground state or e
Weber, Peter M. [Brown University
Reliability Models for Hard Real-Time Systems
Perkins,C.S. Tyrrell,A. Proceedings of the 2nd IMA Conference on the Mathematics of Dependable Systems, York, UK
Perkins, C.S.; Tyrrell, A.; Proceedings of the 2nd IMA Conference on the Mathematics of Dependable Systems, York, UK [More Details
Mathematical modelling of a metal hydride hydrogen storage system.
??In order for metal hydride hydrogen storage systems to compete with existing energy storage technology, such as gasoline tanks and batteries, it is important to� (more)
MacDonald, Brendan David
and aftertreatment systems in LD passenger vehicles. * Evaluate the merits of specific alternative hybrid engine-battery-aftertreatment configurations and control strategies...
Thermochemical energy storage systems: modelling, analysis and design.
??Thermal energy storage (TES) is an advanced technology for storing thermal energy that can mitigate environmental impacts and facilitate more efficient and clean energy systems.� (more)
Haji Abedin, Ali
Modern infrastructure automation systems are threatened by cyber attack. Their higher visibility in recent years and the increasing use of modern information technology (IT)...
Finite Bisimulation of Reactive Untimed Infinite State Systems Modeled as Automata with Variables
1 Finite Bisimulation of Reactive Untimed Infinite State Systems Modeled as Automata with Variables for reactive untimed infinite state systems called input- output extended finite automaton (I/O-EFA), which of a finite bisimilar abstraction. The results are illustrated through examples that model reactive software
Kumar, Ratnesh
Towards new model systems for the study of proton-coupled electron transfer
Two new model systems for the study of orthogonal proton-coupled electron transfer (PCET) have been developed. The first model system is based on Ru"(HzO)(tpy)(bpy) (tpy = 2,2';6',2"terpyridine, bpy = 2,2'-bipyridine) where ...
Yang, Jay Lee
Virtual Community Life Cycle: a Model to Develop Systems with Fluid Requirements Christo El Morr1
1 Virtual Community Life Cycle: a Model to Develop Systems with Fluid Requirements Christo El Morr1 into the life cycle model needed to develop information systems for group of people with fluid requirements development life cycles can be followed when developing any virtual community. Though, in a fluid environment
Reliability-economics analysis models for photovoltaic power systems. Volume 1
This report describes the development of modeling techniques to characterize the reliability, availability, and maintenance costs of photovoltaic power systems. The developed models can be used by designers of PV systems in making design decisions and trade-offs to minimize life-cycle energy costs.
Stember, L.H.; Huss, W.R.; Bridgman, M.S.
Studying the energy efficiency of large-scale computer systems requires models of the relationship
Abstract Studying the energy efficiency of large-scale computer systems requires models-node clusters using embedded, laptop, desktop, and server processors. These results demonstrate the need usage and power consumption. Therefore, a substantial body of literature models system-level power
Rivoire, Suzanne
Thermodynamics and kinetics of competing aggregation processes in a simple model system
Thermodynamics and kinetics of competing aggregation processes in a simple model system Ambarish 8 November 2007 A simple model system has been used to develop thermodynamics and kinetics for bulk and thermodynamics of the processes and to infer the conditions in which one process dominates another, in the high
Berry, R. Stephen
Model Discovery for Energy-Aware Computing Systems: An Experimental Evaluation
Model Discovery for Energy-Aware Computing Systems: An Experimental Evaluation Zhichao Li, Radu Science, Stony Brook University Abstract-- We present a model-discovery methodology for energy-aware in the computing arena have led to the emergence of energy-aware computing systems, where energy, or power
Stoller, Scott
Model Discovery for Energy-Aware Computing Systems: An Experimental Evaluation Appears of Computer Science, Stony Brook University Abstract-- We present a model-discovery methodology for energy-aware in the computing arena have led to the emergence of energy-aware computing systems, where energy, or power
Zadok, Erez
Model Discovery for EnergyAware Computing Systems: An Experimental Evaluation
Model Discovery for Energy�Aware Computing Systems: An Experimental Evaluation Appears of Computer Science, Stony Brook University Abstract--- We present a model�discovery methodology for energy�aware in the computing arena have led to the emergence of energy�aware computing systems, where energy, or power
A Privacy Preservation Model for Facebook-like Social Network Systems
A Privacy Preservation Model for Facebook-like Social Network Systems Philip W. L. Fong, Mohd Anwar-0-7731-0659 (print) ISBN 978-0-7731-0660 (online) #12;A Privacy Preservation Model for Facebook-Like Social Network growth in the popularity of social network systems, with Facebook being an archetypical example. Due
Regina, University of
A PRODUCT ORIENTED MODELLING CONCEPT Holons for systems synchronisation and interoperability
A PRODUCT ORIENTED MODELLING CONCEPT Holons for systems synchronisation and interoperability Salah by manufacturing information systems (informational view). This paper presents the "Holon" modelling concept the concept of holon can play a major role in ensuring interoperability in the enterprise context. 1
AN INFINITE DIMENSIONAL DESCRIPTOR SYSTEM MODEL FOR ELECTRICAL CIRCUITS WITH TRANSMISSION LINES TIMO REIS Abstract. In this paper a model of linear electrical circuits with transmission lines is de-coupled with the telegraph equations who describe the behavior of the transmission lines. The resulting system of equations
Reis, Timo
Integrating Markov Chain Models and L-systems to Simulate the Architectural Development of Apple Trees
Integrating Markov Chain Models and L-systems to Simulate the Architectural Development of Apple the architectural development of apple trees is presented. The approach is based on using an L-systems framework. Results show that these models are able to represent the branching zones observed in apple trees at node
On the existence of solutions for a drift-diffusion system arising in corrosion modelling
On the existence of solutions for a drift-diffusion system arising in corrosion modelling I-diffusion system describing the corrosion of an iron based alloy in a nuclear waste repository. In comparison of the corrosion model lies in the boundary conditions which are of Robin type and induce an additional coupling
A climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model
sensitivity estimate using Bayesian fusion of instrumental observations and an Earth System model, J. Geophys System model Roman Olson,1 Ryan Sriver,1 Marlos Goes,2,3 Nathan M. Urban,4,5 H. Damon Matthews,6 MuraliA climate sensitivity estimate using Bayesian fusion of instrumental observations and an Earth
Modeling the pneumatic subsystem of a S-cam air brake system
The air brake system is one of the critical components in ensuring the safe operation of any commercial vehicle. This work is directed towards the development of a fault-free model of the pneumatic subsystem of the air brake system. This model can...
Coimbatore Subramanian, Shankar
Terrestrial biogeochemistry in the community climate system model (CCSM)
Project (C4 MIP) Phase 1 experiments. In addition, CASA is one of three models--in addition to CN, and sea ice linked through a coupler that exchanges mass and energy fluxes and state information among, 5], the Community Sea Ice Model Version 5 (CSIM5) [6], and the Parallel Ocean Program Version 1
Seamlessly Integrating Software & Hardware Modelling for Large-Scale Systems
Engineering, with the math- ematical modelling approach, Modelica, to address the software/hardware integration problem. The environment and hardware components are modelled in Modelica and integrated software-hardware codesign, large-scale sys- tems, Behavior Engineering, Modelica. 1. Introduction
Zhao, Yuxiao
Hydraulic Modeling of Large District Cooling Systems for Master Planning Purposes
Hydraulic Modeling of Large District Cooling Systems for Master Planning Purposes Chen Xu Qiang Chen David E. Claridge Dan Turner Song Deng Energy Systems Laboratory Texas A&M University College Station, TX 77843-3581 KEYWORD Pipe Network..., District Cooling System, Central Chilled Water System, Master Planning, Hydraulic Simulation ABSTRACT District Cooling Systems (DCS) have been widely applied in large institutions such as universities, government facilities, commercial districts...
Xu, C.; Chen, Q.; Claridge, D. E.; Turner, W. D.; Deng, S.
Geometric effects modelling for the PJM interconnection system. Part 1; Earth surface potentials computation
This paper describes an ionospheric source current model and development of an earth resistivity model used to calculate geomagnetic induced currents (GIC) on the Pennsylvania-New Jersey-Maryland Interconnection (PJM). Ionospheric current is modelled as a gaussian distributed current sheet above the earth. Geological details are included by dividing the PJM service area into 11 different earth resistivity regions. The resulting earth surface potential (ESP) at each power system substation is then calculated. A companion paper describes how this ESP is applied to the power system model to calculate the geomagnetic induced current in the power system equipment and facilities.
Towle, J.N. (Diversified EM, Seattle, WA (US)); Prabhakara, F.S. (Power Technologies, Inc., Schenectady, NY (US)); Ponder, J.Z. (PJM Interconnection, Norristown, PA (US))
Comparison of the Accuracy and Speed of Transient Mobile A/C System Simulation Models: Preprint
The operation of air conditioning (A/C) systems is a significant contributor to the total amount of fuel used by light- and heavy-duty vehicles. Therefore, continued improvement of the efficiency of these mobile A/C systems is important. Numerical simulation has been used to reduce the system development time and to improve the electronic controls, but numerical models that include highly detailed physics run slower than desired for carrying out vehicle-focused drive cycle-based system optimization. Therefore, faster models are needed even if some accuracy is sacrificed. In this study, a validated model with highly detailed physics, the 'Fully-Detailed' model, and two models with different levels of simplification, the 'Quasi-Transient' and the 'Mapped- Component' models, are compared. The Quasi-Transient model applies some simplifications compared to the Fully-Detailed model to allow faster model execution speeds. The Mapped-Component model is similar to the Quasi-Transient model except instead of detailed flow and heat transfer calculations in the heat exchangers, it uses lookup tables created with the Quasi-Transient model. All three models are set up to represent the same physical A/C system and the same electronic controls. Speed and results of the three model versions are compared for steady state and transient operation. Steady state simulated data are also compared to measured data. The results show that the Quasi-Transient and Mapped-Component models ran much faster than the Fully-Detailed model, on the order of 10- and 100-fold, respectively. They also adequately approach the results of the Fully-Detailed model for steady-state operation, and for drive cycle-based efficiency predictions
Kiss, T.; Lustbader, J.
Buckled nano rod - a two state system and its dynamics using system plus reservoir model
We consider a suspended elastic rod under longitudinal compression. The compression can be used to adjust potential energy for transverse displacements from harmonic to double well regime. As compressional strain is increased to the buckling instability, the frequency of fundamental vibrational mode drops continuously to zero (first buckling instability). As one tunes the separation between ends of a rod, the system remains stable beyond the instability and develops a double well potential for transverse motion. The two minima in potential energy curve describe two possible buckled states at a particular strain. From one buckled state it can go over to the other by thermal fluctuations or quantum tunnelling. Using a continuum approach and transition state theory (TST) one can calculate the rate of conversion from one state to other. Saddle point for the change from one state to other is the straight rod configuration. The rate, however, diverges at the second buckling instability. At this point, the straight rod configuration, which was a saddle till then, becomes hill top and two new saddles are generated. The new saddles have bent configurations and as rod goes through further instabilities, they remain stable and the rate calculated according to harmonic approximation around saddle point remains finite. In our earlier paper classical rate calculation including friction has been carried out [J. Comput. Theor. Nanosci. {\\bf 4} (2007) {\\it 1}], by assuming that each segment of the rod is coupled to its own collection of harmonic oscillators - our rate expression is well behaved through the second buckling instability. In this paper we have extended our method to calculate quantum rate using the same system plus reservoir model. We find that friction lowers the rate of conversion.
Aniruddha Chakraborty
Collective operations in a file system based execution model
A mechanism is provided for group communications using a MULTI-PIPE synthetic file system. A master application creates a multi-pipe synthetic file in the MULTI-PIPE synthetic file system, the master application indicating a multi-pipe operation to be performed. The master application then writes a header-control block of the multi-pipe synthetic file specifying at least one of a multi-pipe synthetic file system name, a message type, a message size, a specific destination, or a specification of the multi-pipe operation. Any other application participating in the group communications then opens the same multi-pipe synthetic file. A MULTI-PIPE file system module then implements the multi-pipe operation as identified by the master application. The master application and the other applications then either read or write operation messages to the multi-pipe synthetic file and the MULTI-PIPE synthetic file system module performs appropriate actions.
Shinde, Pravin; Van Hensbergen, Eric
The Patuha geothermal system: a numerical model of a vapor-dominated system.
??The Patuha geothermal system is a vapor-dominated reservoir located about 40 kilometers southwest of Bandung on western Java, Indonesia. The geothermal system consists of a� (more)
Schotanus, M.R.J.
RELAP5/MOD3 code manual: Code structure, system models, and solution methods. Volume 1
The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling, approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. RELAP5/MOD3 code documentation is divided into seven volumes: Volume I provides modeling theory and associated numerical schemes.
Calibration of Reduced Dynamic Models of Power Systems using Phasor Measurement Unit (PMU) Data
Accuracy of a power system dynamic model is essential to the secure and efficient operation of the system. Lower confidence on model accuracy usually leads to conservative operation and lowers asset usage. To improve model accuracy, identification algorithms have been developed to calibrate parameters of individual components using measurement data from staged tests. To facilitate online dynamic studies for large power system interconnections, this paper proposes a model reduction and calibration approach using phasor measurement unit (PMU) data. First, a model reduction method is used to reduce the number of dynamic components. Then, a calibration algorithm is developed to estimate parameters of the reduced model. This approach will help to maintain an accurate dynamic model suitable for online dynamic studies. The performance of the proposed method is verified through simulation studies.
Zhou, Ning; Lu, Shuai; Singh, Ruchi; Elizondo, Marcelo A.
IEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 11, NO. 2, APRIL 2003 173 Modeling Proportional Membership in
, pattern recognition and fuzzy modeling. The best known approach to fuzzy clustering is the method of fuzzyIEEE TRANSACTIONS ON FUZZY SYSTEMS, VOL. 11, NO. 2, APRIL 2003 173 Modeling Proportional Membership for mining typological structures based on a fuzzy clustering model of how the data are generated from
Mirkin, Boris
Learning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector
. Categories and Subject Descriptors I.2.1 [Pattern Recognition]: Models--Fuzzy Set; I.2.6 [ArtificialLearning Dynamic Models of Compartment Systems by Combining Symbolic Regression with Fuzzy Vector and fuzzy represen- tation. We need differential capabilities because, in a dy- namic environment, models
The inhomogeneous kinematic wave traffic flow model as a resonant nonlinear system
The inhomogeneous kinematic wave traffic flow model as a resonant nonlinear system December, 2000 W 95616 Abstract The kinematic wave traffic flow model for an inhomogeneous road is studied as a resonant conform to expectations. Introduction The kinematic wave traffic flow model of LWR was introduced
Mease, Kenneth D.
Modeling PLA Variation of Privacy-Enhancing Personalized Systems Scott A. Hendrickson
Modeling PLA Variation of Privacy-Enhancing Personalized Systems Scott A. Hendrickson , Yang Wang- chitecture (PLA). However, with an extensional PLA, these domain models became strongly entangled making towards modeling both domains within an intensional PLA. We find evidence that this results in a clearer
van der Hoek, André
Nonparametric Stochastic Modeling Of Linear Systems With Pre-scribed Variance Of Several Natural Frequencies
Nonparametric Stochastic Modeling Of Linear Systems With Pre- scribed Variance Of Several Natural of the inverse of the random matrix. The efficient simulation of sam- ples of random matrices according matrices, maximum entropy, probabilistic model 1 INTRODUCTION The stochastic modeling and simulation
Systems Oriented Epistemology and Testimony Theories of testimony | A simulation model | A simulation model | Conclusions Two questions What is our epistemic warrant for believing testimony? Who.S. Zollman Carnegie Mellon University Three views Theories of testimony | A simulation model | Conclusions
Quantum Hall Effect In Bilayer Systems And The Noncommutative Plane: A Toy Model Approach
We have presented a quantum mechanical toy model for the study of Coulomb interactions in Quantum Hall (QH) system. Inclusion of Coulomb interaction is essential for the study of {\\it{bilayer}} QH system and our model can simulate it, in the compound state, in a perturbative framework. We also show that in the noncommutative plane, the Coulomb interaction is modified at a higher order in the noncommutativity parameter $\\theta$, and only if $\\theta$ varies from layer to layer in the QH system.
B. Basu; Subir Ghosh
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...
Wurbs, R.
Heat Transport in Groundwater Systems--Finite Element Model
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...
Grubaugh, E. K.; Reddell, D. L.
Human Growth and Body Weight Dynamics: An Integrative Systems Model
Quantifying human weight and height dynamics due to growth, aging, and energy balance can inform clinical practice and policy analysis. This paper presents the first mechanism-based model spanning full individual life and ...
Rahmandad, Hazhir
Lessons learned in modeling Underfloor Air Distribution system
UFAD variable speed fan coil units are not straightforwarda variable speed fan coil unit model object was developed inand a constant volume fan coil unit, used only for heating.
Lee, Kwang Ho; Schiavon, Stefano; Webster, Tom; Bauman, Fred; Feng, Jingjuan; Hoyt, Tyler
System-level modeling for geological storage of CO2
of Geologic Storage of CO2, in Carbon Dioxide Capture forFormations - Results from the CO2 Capture Project: GeologicBenson, Process Modeling of CO2 Injection into Natural Gas
Zhang, Yingqi; Oldenburg, Curtis M.; Finsterle, Stefan; Bodvarsson, Gudmundur S.
Merit Review and Peer Evaluation Meeting, June 7-11, 2010 -- Washington D.C. ace028johnson2010o.pdf More Documents & Publications Experimental Studies for DPF and SCR Model,...
Analytical modeling of composite steel-concrete frame systems
of reinforced concrete or composite steel shapes encased in reinforced concrete (SRC), structural steel beams, and composite beam-column joints. To facilitate the modeling of inelastic deformations in joint regions, a panel element capable of representing joint...
Atahan, Ali Osman
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.
Finding Benefits by Modeling and Optimizing Steam and Power Systems
A site-wide steam modeling and optimization program (Visual MESA) was implemented at the INEOS Chocolate Bayou site. This program optimizes steam production, compressor turbine extraction, pump operation (turbine/motor) operation, as well...
Jones, B.; Nelson, D.
Modeling the multiregional economic system: perspectives for the eighties. [proceedings
In this proceedings, the editors attempted to cover the range from the data problems for multiregional modeling to the underlying theory, the structure of some empirical models, and finally the applications. In addition to notes with each paper, an extensive overall list of references is compiled at the end of the volume. A separate abstract was prepared for each of the 21 papers for Energy Abstracts for Policy Analysis(EAPA); six abstracts were selected for Energy Research Abstracts (ERA).
Adams, F.G.; Glickman, N.J. (eds.)
Finite Element Modeling of the Fastening Systems and the Concrete
Sleeper and Ballast 0 500 1000 1500 2000 2500 3000 3500 4000 0.0000 0.0002 0.0004 0.0006 0.0008 0 of strands Rail seat area is between 0.39 m to 0.67 m Rail Seat Area Component Modeling: Concrete Sleeper Seat Area Position of concrete surface strain lt = 0.48 m Component Modeling: Concrete Sleeper
Barkan, Christopher P.L.
Women @ Energy: Pam Richmond | Department of Energy
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomenthe House Committee onsupports high impactSince 2003,Losearned
AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartment of EnergyofProject isNovember 07, 2007WhatJennifer B. DunnLydiaNatalie Roe
Mean time to meaningless: MTTDL, Markov models, and storage system reliability
Mean time to meaningless: MTTDL, Markov models, and storage system reliability Kevin M. Greenan Loss (MTTDL) has been the stan- dard reliability metric in storage systems for more than 20 years [3], the stan- dard metric of storage system reliability has been the Mean Time To Data Loss (MTTDL
Plank, Jim
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