text:
Office of Scientific and Technical Information
A cognitive model for alert correlation in a distributed environment
Science Conference Proceedings (OSTI)
The area of alert fusion for strengthening information assurance in systems is a promising research area that has recently begun to attract attention. Increased demands for �more trustworthy� systems and the fact that a single sensor cannot ... Keywords: alert correlation, fuzzy cognitive modeling, intelligent alert fusion, network security
Ambareen Siraj; Rayford B. Vaughn
Next Generation Excel: Modeling in Excel for Analysts and MBAs
Dr. Isaac Gottlieb personally trained 35 of our top analysts and finance professionals in a customized advanced Excel seminar. Many of the tools covered in this book were part of this well-received training. For the past five years, Isaacs monthly Excel-Tip-Of-The-Month ...
Isaac Gottlieb
Vulnerabilities Analyzing Model for Alert Correlation in Distributed Environment
With the growing deployment of host and network intrusion detection systems, managing alerts from these systems becomes critically important. A promising approach is to develop a cooperation module between several IDS to achieve alerts correlation and ... Keywords: alert correlation, prerequisites and consequences, hyper-alert type, vulnerability tuple
Wen Long; Yang Xin; Yixian Yang
Operations Research Analysts
U.S. Energy Information Administration (EIA) Indexed Site
Operations Research Analysts Operations Research Analysts The U.S. Energy Information Administration (EIA) within the Department of Energy has forged a world-class information program that stresses quality, teamwork, and employee growth. In support of our program, we offer a variety of profes- sional positions, including the Operations Research Analyst, whose work is associated with the development and main- tenance of energy modeling systems. Responsibilities: Operations Research Analysts perform or participate in one or more of the following important functions: * Develop, design, perform, and document a broad range of analyses and studies involving current and projected energy pricing, production, supply, and distribution, and consumption * Using computer programming skills and knowledge of energy industries and markets, designs and develops math-
E-Print Network (OSTI)
We examine the accuracy and bias of intrinsic equity prices estimated from three accounting-based valuation models using analyst�s earnings forecasts over a four-year horizon. The models are: (a) the earnings capitalization model, (b) the residual income model without a terminal value, and (c) the residual income model with a terminal value that assumes residual income will grow beyond the horizon at a constant rate determined from the expected residual income growth rate over the forecast horizon. Our analysis is based on valuation errors that are calculated by comparing estimated prices to actual prices. We contribute to the literature by examining whether: (i) the analysts � earnings forecasts convey information about value beyond that conveyed by current earnings, book value and dividends, (ii) the use of firm specific growth rates in terminal value calculations results in more unbiased and accurate valuations than the use of constant growth rates, and (iii) different models perform better under different ex-ante conditions. We find that analysts � earnings forecasts convey information about value beyond that conveyed by current earnings, book values and dividends. Each of the models that we used has valuation errors that decline monotonically as the horizon increases implying that earnings forecasts at each horizon convey new value relevant information. We cannot find a clear advantage to using firm specific growth rates instead of a constant rate of 4 % across all sample
Theodore Sougiannis; Takashi Yaekura
Survey A model-based survey of alert correlation techniques
As telecommunication networks evolve rapidly in terms of scalability, complexity, and heterogeneity, the efficiency of fault localization procedures and the accuracy in the detection of anomalous behaviors are becoming important factors that largely ... Keywords: Alert correlation, Fault localization, Intrusion detection systems, Network management systems, SCADA systems
Saeed Salah; Gabriel Maci�-Fern�Ndez; Jes�S E. D�Az-Verdejo
A Requirements Analyst's Apprentice: A Proposal
The Requirements Analyst's APprentice (RAAP) partially automates the modeling process involved in creating a software requirement. It uses knowledge of the specific domain and general experience regarding software requirements ...
Reubenstein, Howard
Patricia Hagerty, Aviation Program Analyst - Bio | Department...
Energy.gov (U.S. Department of Energy (DOE)) Indexed Site
Patricia Hagerty, Aviation Program Analyst - Bio Patricia Hagerty, Aviation Program Analyst - Bio HagertyPatPersonalProfile.pdf More Documents & Publications Ferrin Moore, Senior...
Patricia Hagerty, Aviation Program Analyst
OFFICE OF AVIATION MANAGEMENT Personal Profile Name: Patricia L. "Pat" Hagerty Title: Aviation Program Analyst Organization: Office of Aviation Management/MA-30 Address: Headquarters, United States Department of Energy 1000 Independence Avenue S.W. Washington, D.C. 20585 E-mail Address: email@example.com Phone Number: Office: (202) 586-5489, Mobile: (240) 477-3671 Fax Number: (202) 586-6008 Field of Expertise/ Experience: Prior to joining the Office of Aviation Management on March 28, 2008, Pat was a Transportation Industry Analyst (TIA) in the Department of Transportation's Office of the General Counsel, Aviation Consumer Protection Division. As a TIA, Pat evaluated domestic and foreign air carriers to ensure compliance with existing consumer protection
Global Industry Analysts | Open Energy Information
Open Energy Info (EERE)
Global Industry Analysts Global Industry Analysts Jump to: navigation, search Name Global Industry Analysts Address 6150 Hellyer Avenue Place San Jose, California Zip 95138 Product Market research services Year founded 1987 Number of employees 501-1000 Phone number (408) 528-9966 Website http://www.strategyr.com/ Region Bay Area References Global Industry Analysts[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! Global Industry Analysts Global Industry Analysts, Inc., (GIA) offers one of the world's largest portfolios of research reports in terms of topics covered, geographic regions analyzed, companies profiled, and pages published. The company's current portfolio consists of more than 900 Global Strategic Business Reports (large multi-client research programs); 45,000+ Market Trend
Exploring the analytical processes of intelligence analysts
We present an observational case study in which we investigate and analyze the analytical processes of intelligence analysts. Participating analysts in the study carry out two scenarios where they organize and triage information, conduct intelligence ... Keywords: artifact analysis, collaboration, homeland security, intelligence analysis, national security, participant observation, participatory design, work practices, work-oriented design
George Chin, Jr.; Olga A. Kuchar; Katherine E. Wolf
Energy Citations Database (ECD) - Alerts Help
Office of Scientific and Technical Information (OSTI)
Help Help Alerts Registration - Receiving Alerts - Renewing your registration Alerts Log On Changing E-mail Address ECD Alerts Contact Us Managing your Alerts - Requesting an Alert or revising an Alert request - Canceling all Alerts and your registration - Summary of your Alerts - Weekly Alert notification - Not receiving an Alert? - Excessive Alerts ECD Alerts FAQ Passwords - Password requirements - Changing your password - Forgot your password? ECD Help ECD FAQs OSTI FAQs Alerts Registration Receiving Alerts In order to receive Alerts, you must register. Enter your e-mail address, a password, and repeat the password. Passwords must meet requirements. After submitting an Alerts Registration, you will receive an e-mail indicating that your Alerts Registration has been successfully submitted
What Are Analysts Really Good At?
Sell-side analysts employ different benchmarks when defining their recommendations. A �buy � for some brokers means the stock is expected to outperform its industry, while for other brokers it means the stock is expected to outperform the market, or some absolute return. We use these benchmarks to analyze the role of stock picking, industry picking, and market timing in the investment value of stock recommendations. Analysis of the relation between analysts � recommendations and their forecasts suggests that analysts abide by their benchmarks. We find strong evidence that the investment value of stock recommendations stems from stock picking within a particular industry. We find no evidence of either industry picking or market timing skills.
Ohad Kadan; Leonardo Madureira; Rong Wang; Tzachi Zach
Energy Citations Database (ECD) - Alerts FAQ
Frequently Asked Questions (FAQs) Frequently Asked Questions (FAQs) What is an ECD Alert? Is there a charge for receiving Alerts? How do I register to receive an Alert? and how do I renew my registration? How do I request, revise, or cancel an Alert? How often will I receive an Alert? Where can I find a summary of my Alerts? And how long is my summary available? What do I do if I do not receive an Alert that I am expecting? What are the password requirements to receive Alerts? What do I do if I have forgotten my Alerts password? How do I change my Alerts password? How do I change my Alerts e-mail address? How do I cancel my registration for Alerts? How do I get help with ECD Alerts? How do I get help with ECD? What other databases/products/services are available from DOE's Office of Scientific and Technical Information (OSTI)?
Energy Citations Database (ECD) - Alerts Log On
ECD Alerts Log On Alerts provide users with e-mail notification of updates to the ECD in specific areas of interest. If you wish to receive an Alert and are not registered, please...
ECD Alerts Log On You must Log On to use the ECD Alerts. Alerts provide users with e-mail notification of updates to the ECD in specific areas of interest. If you wish to receive...
Following the leader: A study of individual analysts� earnings forecasts
This paper develops and tests procedures for identifying lead analysts based on the timeliness of analyst forecast revisions, the trading levels associated with these revisions, and forecast accuracy. Our framework provides an objective assessment of analyst quality that differs from the standard approach that uses survey evidence to rate analysts. Using a sample of equity analysts, we find that lead analysts identified by our procedures have more price impact than follower analysts. Evidence also is presented that suggests analysts use recent stock price trends to help them modify forecast revisions, regardless of whether the analyst is a leader or a follower. Finally, we find that our ranking procedures based on timeliness, trading volume, and accuracy are consistent. That is, if analysts are selected as Full service brokerage firms provide many services to their customers in addition to the execution of trades. One such service is the provision of information concerning the investment value of equity securities. This information is typically produced by analysts with expertise in tracking certain industries and selected firms within those industries. The
Rick A. Cooper; Theodore E. Day; Craig M. Lewis
Science Open Access Journals - Alerts Help
SOAJ Alerts Fast Facts SOAJ Alerts Fast Facts You can easily create an alert right from the results page. Alerts run automatically, based on the schedule you choose. New relevantly ranked results are automatically sent to you through email or an individual or shared RSS/ATOM feed. There is no limit to the number of alerts you can create. Up to 6 previous sets of alert results may be accessed, with permanent links to the sources where possible. Selected results can be emailed, printed, or downloaded into a citation manager such as EndNote, RefWorks or Bib Tex. Alerts Help Alerts will make your recurring searches even easier by automating your search and sending you the results on a regular basis. To receive alerts on your topic(s) of interest, simply create an Alerts account, specify your
Information Bridge: DOE Scientific and Technical Information - Alerts
Help Help Alerts Registration - Receiving Alerts - Renewing your registration Alerts Log On Changing E-mail Address IB Alerts Comments Managing your Alerts - Requesting an Alert or revising an Alert request - Canceling all Alerts and your registration - Summary of your Alerts - Weekly Alert notification - Not receiving an Alert? - Excessive Alerts IB Alerts FAQ Passwords - Password requirements - Changing your password - Forgot your password? IB Help IB FAQs OSTI FAQs Alerts Registration Receiving Alerts In order to receive Alerts, you must register. Enter your e-mail address, a password, and repeat the password. Passwords must meet requirements. After submitting an Alerts Registration, you will receive an e-mail indicating that your Alerts Registration has been successfully submitted
Alerts for Healthcare Process and Data Integration
In healthcare chain workflow management, urgent requests and critical messages in these systems (referred to as alerts) have to be delivered and handled timely. Presently, most systems cannot address urgency and alerts are often handled in an ad-hoc ...
Dickson K. W. Chiu; Benny W. C. Kwok; Ray L. S. Wong; S. C. Cheung; Eleanna Kafeza; Marina Kafeza
Energy Citations Database (ECD) - Alerts Comments
Alerts Comments If you have a question about Energy Citations Database Alerts, we recommend you check frequently asked questions. If your question still has not been answered or if...
Alert correlation using artificial immune recognition system
High volumes of low-level alerts that are generated by intrusion detection systems (IDSs) are serious obstacle for using them effectively. These high volumes of alerts overwhelm system administrators in such a way that they cannot manage and ...
Mehdi Bateni; Ahmad Baraani; Ali Ghorbani
Alert correlation survey: framework and techniques
Managing raw alerts generated by various sensors are becoming of more significance to intrusion detection systems as more sensors with different capabilities are distributed spatially in the network. Alert Correlation addresses this issue by reducing, ...
Reza Sadoddin; Ali Ghorbani
Techniques and tools for analyzing intrusion alerts
Traditional intrusion detection systems (IDSs) focus on low-level attacks or anomalies, and raise alerts independently, though there may be logical connections between them. In situations where there are intensive attacks, not only will actual alerts ... Keywords: Intrusion detection, alert correlation, security management
Peng Ning; Yun Cui; Douglas S. Reeves; Dingbang Xu
Energy Citations Database (ECD) - Alerts Registration
Registration Registration To be able to receive alerts from the ECD, please fill in and submit an Alerts Registration. Please note that passwords expire 6 months after registration. At this time you will be required to change your password in order to continue to receive Alert notification(s). After submitting an Alerts Registration, you will receive an e-mail indicating that the Alerts Registration has been successfully submitted and received. This e-mail will also provide instructions for confirming your e-mail address. After you have confirmed your e-mail address, you will be able to make an Alert Request. If you have previously registered, you may Log On. Please remember your E-mail Address and Password for future use. E-mail Address Password** Repeat Password** Submit Registration Clear Registration
Improving the Quality of Alerts and Predicting Intruder's Next Goal with Hidden Colored Petri-Net
SciTech Connect
Intrusion detection systems (IDS) often provide poor quality alerts, which are insufficient to support rapid identification of ongoing attacks or predict an intruder�s next likely goal. In this paper, we propose a novel approach to alert post-processing and correlation, the Hidden Colored Petri-Net (HCPN). Different from most other alert correlation methods, our approach treats the alert correlation problem as an inference problem rather than a filter problem. Our approach assumes that the intruder�s actions are unknown to the IDS and can be inferred only from the alerts generated by the IDS sensors. HCPN can describe the relationship between different steps carried out by intruders, model observations (alerts) and transitions (actions) separately, and associate each token element (system state) with a probability (or confidence). The model is an extension to Colored Petri-Net (CPN) .It is so called �hidden� because the transitions (actions) are not directly observable but can be inferred by looking through the observations (alerts). These features make HCPN especially suitable for discovering intruders� actions from their partial observations (alerts,) and predicting intruders� next goal. Our experiments on DARPA evaluation datasets and the attack scenarios from the Grand Challenge Problem (GCP) show that HCPN has promise as a way to reducing false positives and negatives, predicting intruder�s next possible action, uncovering intruders� intrusion strategies after the attack scenario has happened, and providing confidence scores.
Yu, Dong; Frincke, Deb A.
Secure Safe - Personnel Alerting Device - Available ...
PNNL�s Secure Safe device strengthens your security methods and protects your corporate assets by alerting you with an audible alarm if you begin to ...
Information Bridge: DOE Scientific and Technical Information - Alerts FAQ
Frequently Asked Questions (FAQs) Frequently Asked Questions (FAQs) What is an Information Bridge (IB) Alert? Is there a charge for receiving Alerts? How do I register to receive an Alert? and how do I renew my registration? How do I request, revise, or cancel an Alert? How often will I receive an Alert? Where can I find a summary of my Alerts? And how long is my summary available? What do I do if I do not receive an Alert that I am expecting? What are the password requirements to receive Alerts? What do I do if I have forgotten my Alerts password? How do I change my Alerts password? How do I change my Alerts e-mail address? How do I cancel my registration for Alerts? How do I get help with IB Alerts? How do I get help with IB? What other databases/products are available from DOE's Office of
Management Earnings Forecasts and Value of Analyst Forecast Revisions
Prior studies evaluate the relative importance of the sources of value that financial analysts bring to the market based on the price impact of forecast revisions over the event time. We find that management earnings forecasts influence the timing and precision of analyst forecasts. More importantly, evidence suggests that prior studies � finding of weaker (stronger) stock-price responses to forecast revisions in the period immediately after (before) the prior-quarter earnings announcement is likely to be the artifact of a temporal pattern of management earnings forecasts over the event time. To the extent that management earnings forecasts are public disclosures, our results suggest that the relative importance of analysts ' information discovery role documented in prior studies is likely to be overstated.
Yongtae Kim; Minsup Song
Stability of alert survivable forces during reductions
The stability of current and projected strategic forces are discussed within a framework that contains elements of current US and Russian analyses. For current force levels and high alert, stability levels are high, as are the levels of potential strikes, due to the large forces deployed. As force levels drop towards those of current value target sets, the analysis becomes linear, concern shifts from stability to reconstitution, and survivable forces drop out. Adverse marginal costs generally provide disincentives for the reduction of vulnerable weapons, but the exchange of vulnerable for survivable weapons could reduce cost while increasing stability even for aggressive participants. Exchanges between effective vulnerable and survivable missile forces are studied with an aggregated, probabilistic model, which optimizes each sides` first and determines each sides` second strikes and costs by minimizing first strike costs.
Canavan, G.H.
An Empirical Analysis of Analysts' Target Prices: Short Term . . .
Using a large database of analysts' target prices, we examine short-term market reactions to target price announcements and long-term co-movement of target and stock prices. We find a significant market reaction to the information contained in analysts' target prices, both unconditional and conditional on contemporaneously issued stock recommendations and earnings forecast revisions. For example, the spread in average announcement day abnormal returns between positive and negative target price revisions is as high as 7 percent. We also find that stock recommendations and earnings forecast revisions are informative controlling for the information in target prices. Using a cointegration approach, we explore the long-term behavior of market and target prices and estimate the system's long-term equilibrium. In this equilibrium a typical firm's one-year ahead target price is 22 percent higher than its current market price. Finally, while market prices react to the information conveyed in analysts' reports, we show that any subsequent corrections towards the long-term equilibrium are, in effect, done by analysts alone.
Alon Brav; Reuven Lehavy
E-print Network Alerts Help -- Energy, science, and technology for the
Alerts Help Alerts Help Alerts will make your recurring searches even easier by automating your search and sending you the results on a regular basis. To receive alerts on your topic(s) of interest, simply create an Alerts account, specify your alert parameters and check your email. For additional information, please choose from one of the below help topics. Alerts Help Topics: Creating an Alerts account Alerts Homepage Create an alert Creating an alert from your search Receiving alerts Viewing alerts Selecting printing, emailing, and exporting alerts Storing alerts Modifying alerts Deleting an alert Alerts Search Tips E-print Network Alerts Fast Facts You can easily create an alert right from the results page. Alerts run automatically, based on the schedule you choose. New relevantly ranked results are automatically sent to you through
TERMS OF REFERENCE REGIONAL ANALYST, Election Assessment Mission (EAM)
The ODIHR is the leading agency in Europe in the field of election observation. It coordinates and organizes the deployment of several observation missions with thousands of observers every year to assess the compliance of elections in OSCE participating States in line with OSCE commitments, other international standards for democratic elections and national legislation. Its unique methodology provides an in-depth insight into all elements of an electoral process, and permits to make concrete recommendations to further improve electoral processes. Objective Under the direction of the Head of the ODIHR Election Assessment Mission (EAM), the Regional Analyst is responsible for observing all aspects of the election cycle, and gaining an in-depth understanding of the overall pre-election administrative procedures and campaign environment in the area of deployment. The Regional Analyst should pay particular attention to the following aspects of the election cycle: � voter identification and registration;
unknown authors
Alert-Driven E-Service Management
Process management technology has recently been employed not only within businesses but also in provision of E-services over the Internet. Urgent requests and critical messages in these systems (referred to as alerts) should be delivered and handled ...
Dickson K. W. Chiu; Benny W. C. Kwok; Ray L. S. Wong; S. C. Cheung; Eleanna Kafeza
E-print Network Alert Service
E-print Web Log E-print Web Log alert image About Search Browse by Discipline Find Scientific Societies Receive E-print Alerts Contact Us Help Home Site Map OSTI DOE Welcome to E-print Alerts! This feature can be used to automatically keep abreast of the latest e-prints posted on ArXiv databases as well as a number of other science and engineering databases and Web sites, based on a search profile you submit to us. You can even receive new postings from a number of sites by submitting a single profile based on your specific area of interest. The Service is free, and you can create as many profiles as you wish. Simply register for the Service and create your search strategies for your profiles. This will be run against all selected databases and Web sites, and you will receive a weekly Alert via e-mail with the results of your automatic profile search.
PNNL: EDO - SBIR Alerting Service Archive
NLE Websites -- All DOE Office Websites (Extended Search)
SBIR Alerting Service Back Issues SBIR Alerting Service Back Issues NOTICE - This service has been discontinued, effective October 1, 2013. Federal R&D funding is available through the Small Business Innovative Research and Small Business Technology Research (SBIR/STTR) Programs. The SBIR/STTR Alerting Service was a free service that provided bi-weekly notification of SBIR and STTR solicitation announcements, news and information, and Internet resources relevant to the SBIR/STTR programs. This service was provided by the Economic Development Office of Pacific Northwest National Laboratory (PNNL). To receive tips on SBIR/STTR proposals and project execution from the Greenwood Consulting Group, send an email to: firstname.lastname@example.com with "subscribe" in the subject line.
TIAA: A Visual Toolkit for Intrusion Alert Analysis
This paper presents the development of TIAA, a visual toolkit for intrusion alert analysis. TIAA is developed to provide an interactive platform for analyzing potentially large sets of intrusion alerts reported by heterogeneous intrusion detection systems ...
Ning, P
Alerts Registration Alerts Registration To be able to receive alerts from the Information Bridge:DOE Scientific and Technical Information, please fill in and submit an Alerts Registration. Please note that passwords expire 6 months after registration. At this time you will be required to change your password in order to continue to receive Alert notification(s). After submitting an Alerts Registration, you will receive an e-mail indicating that the Alerts Registration has been successfully submitted and received. This e-mail will also provide instructions for confirming your e-mail address. After you have confirmed your e-mail address, you will be able to make an Alert Request. If you have previously registered, you may Log On. Please remember your E-mail Address and Password for future use.
Earnings Management Pressure on Audit Clients: Auditor Response to Analyst Forecast Signals
This study investigates whether auditors respond to earnings management pressure created by analyst forecasts. Analyst forecasts create an important earnings target for management, and professional standards direct auditors to consider how this pressure could affect their clients. Using annual analyst forecasts available during the planning phase of the audit, I examine whether this form of earnings management pressure affects clients� financial statement misstatements. Next, I investigate whether auditors respond to earnings forecast pressure through audit fees and reporting delay. I find that higher levels of analyst forecast pressure increase the likelihood of client restatement. I also find that auditors charge higher audit fees and delay the issuance of the audit report in response to pressure from analyst expectations. Finally, I find that when audit clients are subject to high analyst forecast pressure, a high audit fee response by auditors mitigates the likelihood of client misstatements.
Newton, Nathan J.
Efficient Monitoring Algorithm for Fast News Alerts
Recently, there has been a dramatic increase in the use of XML data to deliver information over the Web. Personal Weblogs, news Web sites, and discussion forums are now publishing RSS feeds for their subscribers to retrieve new postings. As the popularity ... Keywords: Information search and retrieval, online information services, performance evaluation, user profiles, alert services.
Ka Cheung Sia; Junghoo Cho; Hyun-Kyu Cho
Drain Holes for Criticality Safety Control Guidance for the Analyst
Drain and overflow holes are integral to the nuclear criticality safety basis of many processes and provide different functions inachieving their safety goaL Inmost cases at the Oak RidgeY-12 Plant, unverified engineering judgment has been previously used to conclude that the holes were adequate to accomplish their mission. Such judgment may adequately serve some configurations but is inadequate in other applications. It is important to understand and document the exact function of every drain for both normal and upset process conditions. After this is accomplished, the holes must be demonstrated to be capable of penlorming their intended safety fi,mction. This paper gives examples of different types of drains used for criticality safety, gives examples of how to ensure they will work as intended, and gives guidance to the analyst who relies on such holes to prevent criticality accidents.
LeTellier, M.S.; Smallwood, D.J.
Reducing false positives in anomaly detectors through fuzzy alert aggregation
In this paper we focus on the aggregation of IDS alerts, an important component of the alert fusion process. We exploit fuzzy measures and fuzzy sets to design simple and robust alert aggregation algorithms. Exploiting fuzzy sets, we are able to robustly ... Keywords: Aggregation, Anomaly detection, Fuzzy measures, Fuzzy sets, Intrusion detection, Multisensor fusion
Federico Maggi; Matteo Matteucci; Stefano Zanero
Topic 1 The analyst is interested in knowing if a particular ...
... the analyst is looking for proliferation of diesel ... reported that it had active investigations into 50 ... in Cuban waters without effective resistance by local ...
DOE Green Energy (OSTI)
Hydrogen reduces the service life of many metallic components. Such reductions may be manifested as blisters, as a decrease in fatigue resistance, as enhanced creep, as the precipitation of a hydride phase and, most commonly, as unexpected, macroscopically brittle failure. This unexpected, brittle fracture is commonly termed hydrogen embrittlement. Frequently, hydrogen embrittlement occurs after the component has been is service for a period of time and much of the resulting fracture surface is distinctly intergranular. Many failures, particularly of high strength steels, are attributed to hydrogen embrittlement simply because the failure analyst sees intergranular fracture in a component that served adequately for a significant period of time. Unfortunately, simply determining that a failure is due to hydrogen embrittlement or some other form of hydrogen induced damage is of no particular help to the customer unless that determination is coupled with recommendations that provide pathways to avoid such damage in future applications. This paper presents qualitative and phenomenological descriptions of the hydrogen damage processes and outlines several metallurgical recommendations that may help reduce the susceptibility of a particular component or system to the various forms of hydrogen damage.
Louthan, M
Albert Einstein Alerts President Roosevelt of German Atomic Energy...
National Nuclear Security Administration (NNSA)
Albert Einstein Alerts President Roosevelt of German Atomic Energy Program | National Nuclear Security Administration Our Mission Managing the Stockpile Preventing Proliferation...
NIST Study of Hazard to Firefighters Leads to Safety Alert
NIST Study of Hazard to Firefighters Leads to Safety Alert. ... NIST-led research "validated the adverse consequences to firefighters when lens ...
ETC Alert Disaster Procedure, 8am 5pm Weekdays
work area "The hospital disaster response plan is in effect. Remain at your regular duties and awaitETC Alert Disaster Procedure, 8am 5pm Weekdays ETC ALERT DISASTER ETC Charge Nurse Hospital Operator ETC Tech 3JCP Reception Pager 3735 Phone 6-3350 General Diagnostic Supervisor (Disaster Only) Ass
EVADER: Electric Vehicle Alert for Detection and Emergency Response
EVADER: Electric Vehicle Alert for Detection and Emergency Response F. Duboisa , G. Baudeta and J effect of vehicle exterior noise for vulnerable users has recently emerged. Quieter cars could reduce pedestrians' ability to travel safely. One of the objectives of the EVADER (Electric Vehicle Alert
Paris-Sud XI, Université de
An open meteorological alerting system: issues and solutions
This paper describes an experimental alerting system under development by the Australian Bureau of Meteorology, initially targetted at (but not restricted to) the aviation sector. The system provides alert routing and filtering: for example pressure ... Keywords: artificial intelligence, distributed systems, real-time systems, software engineering
Ian Mathieson; Sandy Dance; Lin Padgham; Malcolm Gorman; Michael Winikoff
Alert Service Sends International Research to Public Desktops | OSTI, US
Alert Service Sends International Research to Public Desktops Alert Service Sends International Research to Public Desktops NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE April 4, 2006 Alert Service Sends International Research to Public Desktops Oak Ridge, TN - Citizens can set up a free e-mail alert account and receive information on a wide variety of energy-related research through a new U.S. Department of Energy (DOE) developed service. Users can target information of interest, and then choose whether to receive updates on a weekly, biweekly, monthly, quarterly or annual basis. Registration is required. The alert service can be accessed through ETDEWEB or Energy Technology Data Exchange World Energy Base. Information is available from 16 ETDE member countries plus other international partners, including research on energy
Management Alert: IG-0871 | Department of Energy
IG-0871 IG-0871 Management Alert: IG-0871 October 3, 2012 The 2020 Vision One System Proposal for Commissioning and Startup of the Waste Treatment and Immobilization Plant The Department of Energy (Department) is considering a proposal known as the 2020 Vision One System (2020 Vision) that would implement a phased approach to commissioning the $12.2 billion Waste Treatment and Immobilization Plant (WTP) including making the Low-Activity Waste (LAW) facility operational approximately 15 months before commissioning the remainder of the project. Although the implementation of the phased approach offers potential benefits, early operation of the LAW facility presents significant cost, technological and permitting risks that could adversely affect the overall success of the Office of the River Protection
Management Alert: IG-0864 | Department of Energy
IG-0864 IG-0864 Management Alert: IG-0864 May 17, 2012 Extended Assignments at Princeton Plasma Physics Laboratory Princeton University operates the Princeton Plasma Physics Laboratory (Princeton) under a contract with the Department of Energy's Office of Science. Princeton works with partners around the world to develop fusion as an energy source. The Laboratory's annual operating costs are about $80 million, all of which is reimbursed by the Department. On May 8, 2012, we issued a separate contract audit report on Audit Coverage of Cost Allowability for Princeton Plasma Physics Laboratory during Fiscal Years 2009-2010 under Department of Energy Contract Numbers DE-AC02-76CH03073 and DE-AC02-09CH11466 (OAS-V-12-06, May 2012). One of the objectives of that audit was to determine whether questioned costs and
World Oil Refining Logistics Demand Model
Reports and Publications (EIA)
This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts.
Information Center
Considerations in missile reductions and de-alerting
Earlier analyses assumed that all survivable forces could withstand first strikes and retaliate. Only those on alert, at sea, or capable of launching under attack meet that assumption. The sensitivity of those results to non-alert forces is discussed. Reduced alert rates decrease stability indices, primarily by reducing second strikes. Survivable, mobile Russian ICBMs could increase both sides stability. Dealerting hastens expected reductions and raises the possibility of abuse. And the low-force goal of arms reductions has some poorly understood and awkward attributes.
10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig |
10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig 10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig 10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig March 31, 2011 - 4:58pm Addthis Scientist Kirsten Orwig Scientist Kirsten Orwig Niketa Kumar Niketa Kumar Public Affairs Specialist, Office of Public Affairs Working at the intersection of renewable energy technologies and meteorology, National Renewable Energy Laboratory (NREL) scientist Kirsten Orwig specializes in transmission and grid integration for wind and solar energy. She shared with us how her experiences in storm chasing led her to this position at NREL and why understanding meteorology is important for advancing reliable solar and wind energy. Q: What prompted you to specialize in a scientific field? Kirsten Orwig: Growing up I was always fascinated with natural phenomena,
OSTI Announces Alert Service for arXiv Patrons
Enter Search Terms GO OSTI Announces Alert Service for arXiv Patrons March 2005 Oak Ridge, TN - The Office of Scientific and Technical Information (OSTI) is pleased to...
Alert! Industry and Academia - The Energy Department Seeks Your Novel
Alert! Industry and Academia - The Energy Department Seeks Your Alert! Industry and Academia - The Energy Department Seeks Your Novel Ideas for Advanced Energy Systems Alert! Industry and Academia - The Energy Department Seeks Your Novel Ideas for Advanced Energy Systems January 7, 2014 - 12:37pm Addthis Alert! Industry and Academia â The Energy Department Seeks Your Novel Ideas for Advanced Energy Systems Do you care about power and our environment? Are you buzzing with innovative ideas? If so, the Energy Department wants to hear your new and creative concepts for improving the cost and performance of power or industrial systems that depend on fossil energy. Please note that this is a request for information (RFI) only; it is NOT a request for proposals. Your response may be used to guide the planned funding opportunity announcement (FOA) that will be issued at a later date
EERE News: EERE Progress Alerts http://www1.eere.energy.gov/news/progress_alerts/progress_alert.asp... 1 of 1 4/3/07 12:29 PM
EERE News: EERE Progress Alerts http://www1.eere.energy.gov/news/progress_alerts/progress_alert.asp... 1 of 1 4/3/07 12:29 PM Search Help More Search Options EERE Information Center Printable Version New Industrial Technologies Program within EERE, are run by 26 universities and provide no-cost energy
Washington at Seattle, University of
NEMS may be addressed to the following analysts:
This publication is on the WEB at: www.eia.doe.gov/oiaf/aeo/overview/index.html This report was prepared by the Energy Information Administration, the independent statistical and analytical agency within the U.S. Department of Energy. The information contained herein should be attributed to the Energy Information Administration and should not be construed as advocating or reflecting any policy position of the Department of Energy or any other organization. PREFACE The National Energy Modeling System: An Overview provides a summary description of the National Energy Modeling System (NEMS), which was used to generate the forecasts of energy production, demand, imports, and prices through the year 2020 for the Annual Energy Outlook 2000 (AEO2000), (DOE/EIA-0383(2000)), released in November 1999. AEO2000 presents national forecasts of energy markets for five cases�a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The Overview presents a brief description of the methodology and scope of each of the component modules of NEMS. The model documentation reports listed in the appendix of this document
An Overview; Aeo Susan H. Holte
World Oil Refining Logistics Demand Model "World" Reference Manual
Energy Analyst
� 19 % of California�s electric use is from the conveyance, treatment, and end-use of water. � (But this does not apply to only CA!) 2 � The CEC has noted: �If all of the identified urban water savings could be achieved, the energy savings would achieve 95 % of the savings expected from the 2006-2008 energy efficiency programs, at 58 % of the cost. � What Can Utilities/Water Agencies Gain? � Leveraging resources: � reduced program costs � improved cost effectiveness � increased incentive amounts � streamlined energy and water audits Delay or eliminate the need for new, marginal water sources that tend to be energy intensive: � i.e. desalination, imports, brackish groundwater Meet GHG reduction goals 3 Why Will Consumers Engage? � 136 in-depth interviews about energy use in California homes � Households frequently mention water unprompted Water is more tangible than energy; water scarcity is collectively understood Avoiding waste is a promising motivator for conservation behaviors; water waste is more visible than energy waste
Alison Williams; M. S. Hydrology
Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts
form form View source History View New Pages Recent Changes All Special Pages Semantic Search/Querying Get Involved Help Apps Datasets Community Login | Sign Up Search Page Edit with form History Facebook icon Twitter icon » Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Global Solar Opportunity Tool: A Tool for Policy Makers and Energy Analysts Focus Area: Solar Topics: Potentials & Scenarios Website: cleanenergysolutions.org/tools/solar Equivalent URI: cleanenergysolutions.org/content/global-solar-opportunity-tool-tool-po Language: English The Global Solar Opportunity Tool enables analysis and visualization of the technical and economic potential for solar electric technologies ranging
Storing and managing information artifacts collected by information analysts using a computing device
DOE Patents (OSTI)
Systems and computer-implemented processes for storage and management of information artifacts collected by information analysts using a computing device. The processes and systems can capture a sequence of interactive operation elements that are performed by the information analyst, who is collecting an information artifact from at least one of the plurality of software applications. The information artifact can then be stored together with the interactive operation elements as a snippet on a memory device, which is operably connected to the processor. The snippet comprises a view from an analysis application, data contained in the view, and the sequence of interactive operation elements stored as a provenance representation comprising operation element class, timestamp, and data object attributes for each interactive operation element in the sequence.
Pike, William A; Riensche, Roderick M; Best, Daniel M; Roberts, Ian E; Whyatt, Marie V; Hart, Michelle L; Carr, Norman J; Thomas, James J
Hanford Site Emergency Alerting System siren testing report
The purpose of the test was to determine the effective coverage of the proposed upgrades to the existing Hanford Site Emergency Alerting System (HSEAS). The upgrades are to enhance the existing HSEAS along the Columbia River from the Vernita Bridge to the White Bluffs Boat Launch as well as install a new alerting system in the 400 Area on the Hanford Site. Five siren sites along the Columbia River and two sites in the 400 Area were tested to determine the site locations that will provide the desired coverage.
Weidner, L.B.
Application of Short-Range Lidar in Wind Shear Alerting
Long-range lidar systems have been used operationally at the Hong Kong International Airport for wind shear alerting. They are used for monitoring the headwinds over the last 3 n mi of all of the runway corridors of the Hong Kong International ...
P. W. Chan; Y. F. Lee
An adaptive architecture of applying vulnerability analysis to IDS alerts
With increasing intrusions and attacks on the Internet, there is an urgent need to develop techniques for network security. Current standalone network security products, such as the firewall systems, the Intrusion Detection System (IDS), the anti-virus ... Keywords: alert, intrusion detection, network security, predicate-based evaluation, vulnerability analysis
Xuejiao Liu; Xin Zhuang; Debao Xiao
Smart Solar Home System with Safety Device Low Voltage Alert
For many reasons Bangladeshi people are now using renewable energy. So, solar energy is the best renewable energy till now, in respect of Bangladesh. So using of solar system is common nowadays. Bangladesh Government has taken some steps to make solar ... Keywords: Smart Solar Home System (SSHS), Rooftop, Safety Device, Low voltage alert
Tawheed Hasan; Md. Faysal Nayan; Md. Asif Iqbal; Monzurul Islam
Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection
Methods and apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals. Steps include: acquiring the brain wave (EEG or MEG) data from the subject, digitizing the data, separating artifact data from raw data, and comparing trends in f-data to alertness indicators, providing notification of inadequate alertness.
Clapp, Ned E. (Knoxville, TN); Hively, Lee M. (Knoxville, TN)
Methods and apparatus automatically detect alertness in humans by monitoring and analyzing brain wave signals. Steps include: acquiring the brain wave (EEG or MEG) data from the subject, digitizing the data, separating artifact data from raw data, and comparing trends in f-data to alertness indicators, providing notification of inadequate alertness. 4 figs.
Clapp, N.E.; Hively, L.M.
TIAA: A Toolkit for Intrusion Alert Analysis (Version 0.4) Installation and Operation Manual
TIAA: A Toolkit for Intrusion Alert Analysis (Version 0.4) Installation and Operation Manual 1 Introduction The Toolkit for Intrusion Alert Analysis(TIAA) was developed based on previous Intrusion Alert Correlator [3]. The primary goal of TIAA is to provide system support for interactive analysis of intrusion
Ning, Peng
TIAA: A Toolkit for Intrusion Alert Analysis (Version 1.0) Installation and Operation Manual
TIAA: A Toolkit for Intrusion Alert Analysis (Version 1.0) Installation and Operation Manual 1 Introduction The Toolkit for Intrusion Alert Analysis(TIAA) was developed based on previous Intrusion Alert Correlator [3]. The primary goal of TIAA is to provide system support for interactive analysis of intrusion
The use of social media within the global disaster alert and coordination system (GDACS)
The Global Disaster Alert and Coordination System (GDACS) collects near real-time hazard information to provide global multi-hazard disaster alerting for earthquakes, tsunamis, tropical cyclones, floods and volcanoes. GDACS alerts are based on calculations ... Keywords: disaster management, emergency response, impact analysis, social media, twitter
Beate Stollberg; Tom de Groeve
Science.gov Alerts Help Track Latest Science Information | OSTI, US Dept of
Alerts Help Track Latest Science Information Alerts Help Track Latest Science Information NEWS MEDIA CONTACT: Cathey Daniels, (865) 576-9539 FOR IMMEDIATE RELEASE March 1, 2006 Science.gov Alerts Help Track Latest Science Information Oak Ridge, TN - The Science.gov Alert Service has been updated to take advantage of the new Science.gov 3.0 query capabilities. The Alert Service tracks the latest information on your science topics of interest and delivers that information to your desktop e-mail each Monday. The Alert Service is free, and registration is available at the Science.gov home page. New Science.gov query capabilities allow you to better define your search terms by using phrases, date ranges and more. Once you have defined your search terms and set your alert, Science.gov will do your searching for you
ADVISORY ALERT: Dekker, Ltd. Digital Signature - PARS II Reporting
ADVISORY ALERT: Dekker, Ltd. Digital Signature - PARS II Reporting ADVISORY ALERT: Dekker, Ltd. Digital Signature - PARS II Reporting As you know, to run reports in the PARS II, users must install an active X control to their workstations. The FIRST TIME a user attempts to run a report after installing the Active X control, a Security Warning will appear stating: That warning appears because, although the digital signature is valid, the digital signature is from a publisher (in this case Dekker, Ltd.) whom you have not yet chosen to trust. The following steps instruct you how to clear the security warning so that you may continue working with PARS II reports. Please note: Once you complete the process of accepting the Dekker, LTd. digital signature, this warning will not re-appear. This process must be done ONCE to "inform" your PC that Dekker, LTd. is an
Modeling and Analysis of CSP Systems (Fact Sheet), Thermal Systems...
The models can also help analysts assess the potential market penetration and economic impact of CSP under different policy and deployment scenarios. The Solar Advisor Model (SAM)...
Management Alert - Extended Assignments at Princeton Plasma Physics Laboratory
Extended Assignments at Princeton Extended Assignments at Princeton Plasma Physics Laboratory DOE/IG-0864 May 2012 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 May 17, 2012 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert on "Extended Assignments at Princeton Plasma Physics Laboratory" BACKGROUND Princeton University operates the Princeton Plasma Physics Laboratory (Princeton) under a contract with the Department of Energy's Office of Science. Princeton works with partners around the world to develop fusion as an energy source. The Laboratory's annual operating costs
Vital Alert's C1000 mine and tunnel radios use magnetic induction...
Vital Alert's C1000 mine and tunnel radios use magnetic induction, advanced digital communications techniques and ultra-low frequency transmission to wirelessly provide...
Cooperative Monitoring Center Occasional Paper/9: De-Alerting Strategic Ballistic Missiles
This paper presents a framework for evaluating the technical merits of strategic ballistic missile de-alerting measures, and it uses the framework to evaluate a variety of possible measures for silo-based, land-mobile, and submarine-based missiles. De-alerting measures are defined for the purpose of this paper as reversible actions taken to increase the time or effort required to launch a strategic ballistic missile. The paper does not assess the desirability of pursuing a de-alerting program. Such an assessment is highly context dependent. The paper postulates that if de-alerting is desirable and is used as an arms control mechanism, de-alerting measures should satisfy specific cirteria relating to force security, practicality, effectiveness, significant delay, and verifiability. Silo-launched missiles lend themselves most readily to de-alerting verification, because communications necessary for monitoring do not increase the vulnerabilty of the weapons by a significant amount. Land-mobile missile de-alerting measures would be more challenging to verify, because monitoring measures that disclose the launcher's location would potentially increase their vulnerability. Submarine-launched missile de-alerting measures would be extremely challlenging if not impossible to monitor without increasing the submarine's vulnerability.
Connell, Leonard W.; Edenburn, Michael W.; Fraley, Stanley K.; Trost, Lawrence C.
Model Documentation Report: Macroeconomic Activity Module (MAM) of ...
U.S. Energy Information Administration (EIA)
facilitates continuity in model development by providing documentation from which energy analysts can ... Business spending includes nine fixed investment categories for
E-print Network Alerts -- Energy, science, and technology for the research
E-print Alerts E-print Alerts Login User Name: Enter User Name Password: Forgot username or password? Login The E-print Alerts feature is a service that will automatically notify you when new e-print information is available in your specific areas of interest. Simply register for the service and then create a search strategy, which will be matched automatically against each new weekly update. Patrons will receive the results of the alert via e-mail. If you are a NEW PATRON, learn how to set up E-print Alerts to meet your needs. If you are an existing patron, enter your user name and password in the box on the right, then press the login button. You may review or modify your search, add a new search, and see search results. Some links on this page may take you to non-federal websites. Their
Restaurant Industry Stock Price Forecasting Model Utilizing Artificial Neural Networks to Combine Fundamental and Technical Analysis.
??Stock price forecasting is a classic problem facing analysts. Forcasting models have been developed for predicting individual stocks and stock indices around the world and� (more)
Dravenstott, Ronald W.
The Burst Alert Telescope (BAT) on the Swift MIDEX Mission
The Burst Alert Telescope (BAT) is one of 3 instruments on the Swift MIDEX spacecraft to study gamma-ray bursts (GRBs). The BAT first detects the GRB and localizes the burst direction to an accuracy of 1-4 arcmin within 20 sec after the start of the event. The GRB trigger initiates an autonomous spacecraft slew to point the two narrow field-of-view (FOV) instruments at the burst location within 20-70 sec so to make follow-up x-ray and optical observations. The BAT is a wide-FOV, coded-aperture instrument with a CdZnTe detector plane. The detector plane is composed of 32,768 pieces of CdZnTe (4x4x2mm), and the coded-aperture mask is composed of approximately 52,000 pieces of lead (5x5x1mm) with a 1-m separation between mask and detector plane. The BAT operates over the 15-150 keV energy range with approximately 7 keV resolution, a sensitivity of approximately 10E-8 erg*cm^-2*s^-1, and a 1.4 sr (half-coded) FOV. We expect to detect >100 GRBs/yr for a 2-year mission. The BAT also performs an all-sky hard x-ray survey with a sensitivity of approximately 2 mCrab (systematic limit) and it serves as a hard x-ray transient monitor.
S. D. Barthelmy; L. M. Barbier; J. R. Cummings; E. E. Fenimore; N. Gehrels; D. Hullinger; H. A. Krimm; C. B. Markwardt; D. M. Palmer; A. Parsons; G. Sato; M. Suzuki; T. Takahashi; M. Tashiro; J. Tueller
Effects of psychostimulants on alertness and spatial bias in healthy participants
Converging evidence from neuropsychological and neuroimaging studies suggests that the ability to maintain an alert, ready-to-respond state is mediated by a network of right-hemisphere frontal and parietal cortical areas. This right lateralization may ...
Chris Dodds; Ulrich M�ller; Tom Manly
Human factors studies of an ADS-B based traffic alerting system for general aviation
Several recent high profile mid-air collisions highlight the fact that mid-air collisions are a concern for general aviation. Current traffic alerting systems have limited usability in the airport environment where a ...
Silva, Sathya Samurdhi
OSTI Announces Alert Service for arXiv Patrons | OSTI, US Dept of Energy,
Announces Alert Service for arXiv Patrons Announces Alert Service for arXiv Patrons March 2005 Oak Ridge, TN - The Office of Scientific and Technical Information (OSTI) is pleased to announce implementation of an Alert Service that serves patrons of arXiv, a source in the fields of physics, mathematics, non-linear science, computer science, and quantitative biology. ArXiv, a service of Cornell University Library System, is one of the sources included in OSTI's E-print Network. Through this Alert Service, patrons can subscribe to be automatically notified of the latest information posted on arXiv, as well as other e-print sources in the E-print Network. A special interface is provided for arXiv patrons through the E-print Network. E-print Network is a vast, integrated network of electronic scientific and
Alert Services | OSTI, US Dept of Energy, Office of Scientific and
Alert Services Alert Services Get weekly e-mail notification of new information about your specific area(s) of interest. Simply register for the service on one or all of the OSTI products described below and then sign up for topic(s) which will be matched automatically against each new weekly update. E-Print Network E-print Network Alerts Searchable gateway to over 5 million e-print documents and over 32,000 websites and databases worldwide. OSTIblog E-mail notifications OSTIblog E-mail Notifications Automatic notifications by e-mail when new OSTIblog articles are posted to the OSTI website. Science Accelerator Science Accelerator Alerts Searchable gateway to key DOE/OSTI resources that contain research and development results, project descriptions, accomplishments, and more.
Jeanne Wright, RN, BSN, MT, CCRP, CIM, RAC, SoCRA Research Analyst Lead, University of Michigan, Michigan Institute for Clinical and Health Research
Jeanne Wright, RN, BSN, MT, CCRP, CIM, RAC, SoCRA Research Analyst Lead, University of Michigan&D. CERTIFICATIONS Regulatory Affairs Certification (2012) National Association of IRB Managers (CIM), 2009
Eustice, Ryan
Petroleum Market Module (Volume 1), Model Documentation
Model Documentation Volume I - Defines the objectives of the Petroleum Market Model (PMM), describes its basic approach, and provides detail on how it works. This report is intended as a reference document for model analysts, users, and the public.
William Brown
Scenario Driven Data Modelling
... an alert is generated that allows humans to query the model and a stored version of the data that matched the model. The high level steps of SDDM are as follows: ...
Federal technology alert. Parabolic-trough solar water heating
Parabolic-trough solar water heating is a well-proven renewable energy technology with considerable potential for application at Federal facilities. For the US, parabolic-trough water-heating systems are most cost effective in the Southwest where direct solar radiation is high. Jails, hospitals, barracks, and other facilities that consistently use large volumes of hot water are particularly good candidates, as are facilities with central plants for district heating. As with any renewable energy or energy efficiency technology requiring significant initial capital investment, the primary condition that will make a parabolic-trough system economically viable is if it is replacing expensive conventional water heating. In combination with absorption cooling systems, parabolic-trough collectors can also be used for air-conditioning. Industrial Solar Technology (IST) of Golden, Colorado, is the sole current manufacturer of parabolic-trough solar water heating systems. IST has an Indefinite Delivery/Indefinite Quantity (IDIQ) contract with the Federal Energy Management Program (FEMP) of the US Department of Energy (DOE) to finance and install parabolic-trough solar water heating on an Energy Savings Performance Contract (ESPC) basis for any Federal facility that requests it and for which it proves viable. For an ESPC project, the facility does not pay for design, capital equipment, or installation. Instead, it pays only for guaranteed energy savings. Preparing and implementing delivery or task orders against the IDIQ is much simpler than the standard procurement process. This Federal Technology Alert (FTA) of the New Technology Demonstration Program is one of a series of guides to renewable energy and new energy-efficient technologies.
e-Alert from Fermilab Education Office Sept 2013 - Spring 2014
Program E-Alert - September 2013 - Spring 2014 Program E-Alert - September 2013 - Spring 2014 Calendar * What we're planning * What we're reading ed.fnal.gov Spread the word to your colleagues. Find interesting opportunities and resources in the Fermilab Education Office E-Alert newsletter. E-mail email@example.com to be added to or deleted from our mailing list. Calendar Watch our website for details on these future events. September 25, 2013 - STEM Family Night Planning Workshop October 24-26, 2013 - ISEC, Tinley Park, IL Mid-November 2013 - FFSE Online Scholarship application opens. Spring 2014 -- Save the date for future events. What we're planning STEM Family Night Planning Workshop September 25, 2013 - 7:00 p.m.-9:30 p.m. ed.fnal.gov/sciadv Is your organization (school, PTA, library or co-op) planning a STEM Family
Management Alert on Protective Force Training Facility Utilization at the Pantex Plant, IG-0855
Management Alert on Protective Management Alert on Protective Force Training Facility Utilization at the Pantex Plant DOE/IG-0855 September 2011 Department of Energy Washington, DC 20585 September 27, 2011 MEMORANDUM FOR THE ADMINISTRATOR, NATIONAL NUCLEAR SECURITY ADMINISTRATION FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert on "Protective Force Training Facility Utilization at the Pantex Plant" IMMEDIATE CONCERN As part of our ongoing audit to determine whether the Department of Energy is effectively utilizing its protective force training facilities, we determined that the National Nuclear Security Administration's (NNSA) Office of Secure Transportation (OST) plans to spend approximately $2 million for a new Physical Training/Intermediate Use of Force (PT/IUF) facility at the Pantex
Recovery Act Energy Home Improvement Loan Scam Alert | Department of Energy
Recovery Act Energy Home Improvement Loan Scam Alert Recovery Act Energy Home Improvement Loan Scam Alert Recovery Act Energy Home Improvement Loan Scam Alert May 24, 2010 - 1:05pm Addthis The U.S. Department of Energy is aware of fraudulent solicitations being received through the United States Postal Service that solicit personal information for purported "Federal Energy Home Improvement Loans" under the American Reinvestment and Recovery Act. These solicitations falsely appear to be on U.S. Department of Energy letterhead, and offer recipients the prospect of obtaining up to a $50,000 loan. A sample of the fraudulent solicitation can be found here. Should you receive such a solicitation, you should not return the enclosed application, but instead report the matter immediately in one of the following manners:
Recasting risk analysis methods in terms of object-oriented modeling techniques
For more than two decades, risk analysts have relied on powerful logic-based models to perform their analyses. However, the applicability of these models has been limited because they can be complex and expensive to develop. Analysts must frequently start from scratch when analyzing a new (but similar) system because the understanding of how the system works exists only in the mind of the analyst and is only incompletely instantiated in the actual logic model. This paper introduces the notion of using explicit object-oriented system models, such as those embodied in computer-aided software engineering (CASE) tools, to document the analyst`s understanding of the system and appropriately capture how the system works. It also shows that from these models, standard assessment products, such as fault trees and event trees, can be automatically derived.
Wyss, G.D.; Craft, R.L.; Vandewart, R.L.; Funkhouser, D.R.
The EMA system: a CTI based e-mail alerting service
The integration of Internet services and telephony services is a new area for the development of telecommunications services. One example is an e-mail alerting service that uses the telephony network for e-mail notification. The EMA system is a computer ...
D. Frank; H. Lucic; M. Opsenica; L. Puksec; M. Zic; S. Brajkovic; V. Maricic
Design of Electric or Hybrid vehicle alert sound system for pedestrian
on a track of our test center located in La Ferté Vidame. Two cars were used: -a diesel-vehicle - an electricDesign of Electric or Hybrid vehicle alert sound system for pedestrian J.-C. Chamard and V, France 1691 #12;The arrival of fully or hybrid electric vehicles raised safety problems respect
Alert correlation in collaborative intelligent intrusion detection systems-A survey
As complete prevention of computer attacks is not possible, intrusion detection systems (IDSs) play a very important role in minimizing the damage caused by different computer attacks. There are two intrusion detection methods: namely misuse- and anomaly-based. ... Keywords: Alert correlation, Collaborative intrusion detection, Computational intelligence approaches, False positive analysis
Huwaida Tagelsir Elshoush; Izzeldin Mohamed Osman
An Alert Classification System for Monitoring and Assessing the ENSO Cycle
An alert classification system for the ENSO cycle is introduced. The system includes watches, advisories, and a five-class intensity scale for warm and cold phases of the ENSO cycle. A watch is issued when conditions are favorable for the ...
V. E. Kousky; R. W. Higgins
my account e-alert subscribe register Can quantum computers be
my account e-alert subscribe register Can quantum computers be made with solid-state electronics & Ecology Genetics Immunology Materials Science Medical Research 28 August 2004 Quantum computers get in tune Ultra-powerful quantum computers could use nanoscale resonators for passing information between
Geller, Michael R.
Microsoft PowerPoint - EIA Presentation 04.26.11.ppt [Read-Only]
DISCLOSURE APPENDIX CONTAINS IMPORTANT DISCLOSURES, ANALYST CERTIFICATIONS, INFORMATION ON TRADE ALERTS, ANALYST MODEL PORTFOLIOS AND THE STATUS OF NON- DISCLOSURE APPENDIX CONTAINS IMPORTANT DISCLOSURES, ANALYST CERTIFICATIONS, INFORMATION ON TRADE ALERTS, ANALYST MODEL PORTFOLIOS AND THE STATUS OF NON- U.S ANALYSTS. FOR OTHER IMPORTANT DISCLOSURES, visit www.credit-suisse.com/ research disclosures or call +1 (877) 291-2683. U.S. Disclosure: Credit Suisse does and seeks to do business with companies covered in its research reports. As a result, investors should be aware that the Firm may have a conflict of interest that could affect the objectivity of this report. Investors should consider this report as only a single factor in making their investment decision Implications of EPA Policy April 26 th , 2011 Equity Research Analyst Dan Eggers, CFA Managing Director Work 212.538.8430 email@example.com
Petroleum Market Module Model Documentation (Volume 1) 2006
Defines 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.
Anthony Radich
Petroleum Market Module Model Documentation (Volume 1) 2007
Petroleum Market Module Model Documentation (Volume 1) 2009
Petroleum Market Module (Volume 2), Model Documentation 2007
Petroleum Market Module (Volume 2), Model Documentation 2005
Han-Lin Lee
Petroleum Market Module Model Documentation (Volume 1) 2005
Petroleum Market Module (Volume 2), Model Documentation 2009
Petroleum Market Module (Volume 2), Model Documentation 2008
Petroleum Market Module Model Documentation (Volume 1) 2008
Petroleum Market Module (Volume 2), Model Documentation 2006
Radionuclide Ratio Analyst Tool
Kendra M. Foltz Biegalski This memo recommends the installation of several upgrades and additions to the Radionuclide Monitoring Software (RMS) into operations at the Center for Monitoring Research (CMR). The software additions and upgrades described herein provide new functionality and improved results to many aspects of radionuclide data analysis. This software was developed under the Technical Verification and Analytical Support (TVAS) program at the CMR. This software has been running on the TVAS development network from 3 months to 2 years. Statement of Objective The objective of this proposal is the implementation of additions and upgrades to the RMS software into CMR operations. The following additional software components are recommended:
The U.S. Energy Information Administration is an equal opportunity employer with a commitment to workforce diversity. Created Date: 2/9/2011 2:54:28 PM ...
(wizard) and (analyst) logged ...
... Increased "nutrients" caused an overproduction of phytoplankton, which block the light reaching the sea grasses and algae. ...
... understanding calling for Amkor's staged equity purchase of ... MIC is an investment fund created by NTT ... first British Company to offer tax-free sports ...
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.
NREL: Jobs and Economic Development Impact (JEDI) Models - Help
model, I receive a security alert message stating "the macros in the file have been disabled." How do I change the security setting, so I can run the model with the macros...
Safety Alerts
The Office of Health, Safety and Security HSS Logo Department of Energy Seal Left Tab SEARCH Right Tab TOOLS Right Tab Left Tab HOME Right Tab Left Tab ABOUT US Right Tab Left Tab...
Federal Technology Alert: Ground-Source Heat Pumps Applied to Federal Facilities--Second Edition
This Federal Technology Alert, which was sponsored by the U.S. Department of Energy's Office of Federal Energy Management Programs, provides the detailed information and procedures that a Federal energy manager needs to evaluate most ground-source heat pump applications. This report updates an earlier report on ground-source heat pumps that was published in September 1995. In the current report, general benefits of this technology to the Federal sector are described, as are ground-source heat pump operation, system types, design variations, energy savings, and other benefits. In addition, information on current manufacturers, technology users, and references for further reading are provided.
Hadley, Donald L.
Alerting device and method for reminding a person of a risk
An alerting device and method to remind personnel of a risk is disclosed. The device has at least two sensors, a logic controller, a power source, and an annunciator that delivers a visual message, with or without an audible alarm, about a risk to a person when the sensors detect the person exiting a predetermined space. In particular, the present invention reminds a person of a security, safety, or health risk upon exiting a predetermined space. More particularly, the present invention reminds a person of an information security risk relating to sensitive, proprietary, confidential, trade secret, classified, or intellectual property information.
Runyon, Larry [Richland, WA; Gunter, Wayne M [West Richland, WA; Pratt, Richard M [Richland, WA
Passive pavement-mounted acoustical linguistic drive alert system and method
Systems and methods are described for passive pavement-mounted acoustical alert of the occupants of a vehicle. A method of notifying a vehicle occupant includes providing a driving medium upon which a vehicle is to be driven; and texturing a portion of the driving medium such that the textured portion interacts with the vehicle to produce audible signals, the textured portion pattern such that a linguistic message is encoded into the audible signals. The systems and methods provide advantages because information can be conveyed to the occupants of the vehicle based on the location of the vehicle relative to the textured surface.
Kisner, Roger A. (Knoxville, TN); Anderson, Richard L. (Oak Ridge, TN); Carnal, Charles L. (Cookeville, TN); Hylton, James O. (Clinton, TN); Stevens, Samuel S. (Harriman, TN)
Microsoft Word - Energy Market Alert Jan 25 2013 - Northeast _public version_ final.docx
Northeastern Winter Natural Gas and Electricity Alert Friday January 25, 2013 Current status of natural gas and electricity markets in New York and New England For questions or comments about this report, please contact firstname.lastname@example.com. Temperature: Both NYC and Boston expect continuing cold temperatures during the day today. Beginning tonight, temperatures are forecast to be moderate, with lows of 18°F in NYC and 15°F in Boston. Next week is expected to be milder. Natural gas demand: Bentek forecasts that demand will remain at high levels through today. Natural gas constraints & LNG: Most pipelines from the west and south
Configurable multi-perspective business process models
A configurable process model provides a consolidated view of a family of business processes. It promotes the reuse of proven practices by providing analysts with a generic modeling artifact from which to derive individual process models. Unfortunately, ... Keywords: Business process, Configurable process model, EPC
Marcello La Rosa; Marlon Dumas; Arthur H. M. ter Hofstede; Jan Mendling
Management Alert: OAS-M-12-03 | Department of Energy
OAS-M-12-03 OAS-M-12-03 Management Alert: OAS-M-12-03 March 23, 2012 Purchase of Computers for the U.S. Department of Agriculture Forest Service at the Savannah River Site In October 2011, the OIG received a complaint that the U.S. Department of Agriculture (Agriculture) Forest Service - Savannah River (Forest Service) had purchased a number of computers under its Interagency Agreement (Agreement) with the Department of Energy's (Department) Savannah River Operations Office (SRO) that were not placed into use and were being stored in a manner that left them vulnerable to theft or misuse. We confirmed the existence of 17 Hewlett-Packard desktop computers that had been purchased in September 2010, by the Forest Service with SRO funds, with the intention of connecting the computers to the Savannah River Site
Domestic Water Conservation Technologies: Federal Energy Management Program (FEMP) Federal Technology Alert (Booklet)
Executive Order 13123 calls for the Federal government to conserve water as well as energy in its 500,000 facilities. To help set priorities among water-saving measures, the Federal Energy Management Program conducted a study of Federal water use in 1997. The study indicated that the government consumes more than 50% of its water in just three types of Federal facilities: housing, hospitals, and office buildings. These facilities have enough kitchens, rest rooms, and laundry areas to provide facility managers with many opportunities to begin reducing their water use (and utility costs) with appropriate water-saving fixtures and products. Therefore, this Federal Technology Alert focuses on domestic technologies, products, and appliances such as water-efficient faucets, showerheads, toilets, urinals, washing machines, and dishwashers. Conserving water also saves the energy needed to treat, pump, and heat that water in homes, businesses, and other buildings.
Plant alert: Don`t let erosion/corrosion compromise safety
One year ago, the rupture of a feed-water-pipe section just upstream of the economizer resulted in a fatal accident at a US utility drum-boiler unit. The direct cause of the accident was thinning of the pipe wall, apparently the result of erosion/corrosion. An accident similar in origin and consequences occurred in December 1986 at a nuclear pressurized-water reactor (PWR) unit in virginia. Although such serious accidents are rare, erosion/corrosion is a relatively common occurrence in all types of steam systems. It joins drum-boiler waterwall-tube failures and deaerator cracking as the most extensive and expensive waterside problems encountered at powerplants. The purpose of this alert is to urge powerplant owners ad operators to inspect locations in feedwater and wet steam components that may be susceptible to wall thinning caused by erosion/corrosion. (An extensive list of references is provided for assistance in obtaining background information.)
Jonas, O. [Jonas Inc., Wilmington, DE (United States)
Short-term hydroelectric generation model. Model documentation report
The purpose of this report is to define the objectives of the Energy Information Administration`s (EIA) Short-Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the EIA`s legal obligation to provide adequate documentation in support of its models.
Oil and Gas Supply Module (OGSM), 2009, Model Documentation
Defines the objectives of the Oil and Gas Supply Model (OGSM), to describe the model's basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public.
Dana Van-Wagener
Oil and Gas Supply Module (OGSM), 2007, Model Documentation
Oil and Gas Supply Module (OGSM), 2002, Model Documentation
Oil and Gas Supply Module (OGSM), 1998, Model Documentation
Oil and Gas Supply Module (OGSM), 1995, Model Documentation
Oil and Gas Supply Module (OGSM), 2008, Model Documentation
Oil and Gas Supply Module (OGSM), 2006, Model Documentation
Oil and Gas Supply Module (OGSM), 1999, Model Documentation
Oil and Gas Supply Module (OGSM), 1997, Model Documentation
Oil and Gas Supply Module (OGSM), 2000, Model Documentation
Oil and Gas Supply Module (OGSM), 2004, Model Documentation
Oil and Gas Supply Module (OGSM), 2001, Model Documentation
Oil and Gas Supply Module (OGSM), 2005, Model Documentation
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.
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.
Not Available
Essays on financial analysts' forecasts
Wal-Mart Stores, Inc. Exxon Mobil Corp Ticker AA AIG ALD AXPGeneral Motors, IBM, 3M and Exxon Mobil. Most revisions areChase, General Motors and Exxon Mobil. This high proportion
Rodriguez, Marius del Giudice
Oil and Gas Supply Module (OGSM), 2003 Vol. I, Model Documentation
Oil and Gas Supply Module (OGSM), 2003 Vol. II, Model Documentation
An Artificial Neural Network with Chaotic Oscillator for Wind Shear Alerting
Current research based on various approaches including the use of numerical weather prediction models, statistical models, and machine learning models have provided some encouraging results in the area of long-term weather forecasting. But at the ...
K. M. Kwong; Max H. Y. Wong; James N. K. Liu; P. W. Chan
Model documentation coal market module of the National Energy Modeling System
This report documents the objectives and the conceptual and methodological approach used in the development of the Coal Production Submodule (CPS). It provides a description of the CPS for model analysts and the public. The Coal Market Module provides annual forecasts of prices, production, and consumption of coal.
Industrial Demand Module 1998, National Energy Modeling System (NEMS)
This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description ofthe NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in supportof its models (Public Law 94-385, section 57.b2). Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects.
T. Crawford Honeycutt
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. 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.
On-line alert systems for production plants: A conflict based approach
We present a new methodology for detecting faults and abnormal behavior in production plants. The methodology stems from a joint project with a Danish energy consortium. During the course of the project we encountered several problems that we believe are common for projects of this type. Most notably there was a lack of both knowledge and data concerning possible faults, and it therefore turned out to be infeasible to learn/construct a standard classification model for doing fault detection. As an alternative we propose a method for doing on-line fault detection using only a model of normal system operation. Faults are detected by measuring the conflict between the model and the sensor readings, and knowledge about the possible faults is therefore not required. We illustrate the proposed method using real-world data from a coal driven power plant as well as simulated data from an oil production facility.
Nielsen, T.D.; Jensen, F.V. [University of Aalborg, Aalborg (Denmark)
Assessment of Load and Energy Reduction Techniques (ALERT) Retrocommissioning Case Study of Two National Renewable Energy Laboratory (NREL) Sites
Portland Energy Conservation Incorporated (PECI) in conjunction with the National Renewable Energy Laboratory (NREL) staff performed an Assessment of Load and Energy Reduction Techniques (ALERT) retrocommissioning evaluation on several buildings located at the South Table Mountain site and National Wind Technology Center site located in Golden, Colorado. The retrocommissioning process involved a coordinated effort between PECI and NREL staff and was completed in November of 2002. Retrocommissioning (RCx), or existing building commissioning, is an event in the life of a building that applies a systematic investigation process for improving and optimizing a building's energy-using equipment such as the HVAC and other mechanical equipment, lighting equipment, and related controls. The investigation phase for this project identified 33 findings. This paper gives an overview of the project and discusses a few of the operations and maintenance (O&M) findings as well as capital improvement recommendations that have the greatest potential for energy savings. An update on the progress of implementation will also be discussed. The combined measures recommended for implementation result in an estimated total annual savings of 572,444 kWh, 54,114 therms, and a total utility cost savings of $44,040, which correspond to a 7.0% reduction in annual energy usage and 4.4% reduction in annual utility costs. With the measures already implemented, and those in the process thus far, the total estimated savings are 231,924 kWh, 51,550 therms, and $28,920 annual energy savings. Implementation costs were estimated at $56,380, which would result in a 1.9 year average payback. It cost approximately $0.09 per square foot to perform the ALERT RCx assessment. Of the 33 measures identified, energy savings were not calculated for 14 of them due to insufficient data at the time or they are very general and difficult to estimate. Most of the measures focus on O&M improvements, and many of these measures have been implemented, or under evaluation for implementation. It is not unreasonable to assume that the measures under evaluation, if selected for implementation, could account for an additional 1% energy and cost savings.
Luskay, L.; Haasl, T.; Schwab, J.; Beattie, D.
Petroleum Market Module Model Documentation (Volume 1) 1997
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).
Petroleum Market Module Model Documentation (Volume 1) 2002
Petroleum Market Module Model Documentation (Volume 1) 2004
Petroleum Market Module Model Documentation (Volume 1) 1998
Petroleum Market Module Model Documentation (Volume 1) 2001
Petroleum Market Module Model Documentation (Volume 1) 2000
Petroleum Market Module Model Documentation (Volume 1) 2003
Petroleum Market Module Model Documentation (Volume 1) 1995
Petroleum Market Module (Volume 2), Model Documentation 2003
Petroleum Market Module (Volume 2), Model Documentation 2002
Petroleum Market Module (Volume 2), Model Documentation 2004
Petroleum Market Module Model Documentation (Volume 1) 1994
Petroleum Market Module Model Documentation (Volume 1) 1999
Marine Animal Alert System -- Task 126.96.36.199: Development of Monitoring Technologies -- FY 2011 Progress Report
The Marine Animal Alert System (MAAS) in development by the Pacific Northwest National Laboratory is focused on providing elements of compliance monitoring to support deployment of marine hydrokinetic energy devices. An initial focus is prototype tidal turbines to be deployed in Puget Sound in Washington State. The MAAS will help manage the risk of injury or mortality to marine animals from blade strike or contact with tidal turbines. In particular, development has focused on detection, classification, and localization of listed Southern Resident killer whales within 200 m of prototype turbines using both active and passive acoustic approaches. At the close of FY 2011, a passive acoustic system consisting of a pair of four-element star arrays and parallel processing of eight channels of acoustic receptions has been designed and built. Field tests of the prototype system are scheduled for the fourth quarter of calendar year 2011. Field deployment and testing of the passive acoustic prototype is scheduled for the first quarter of FY 2012. The design of an active acoustic system that could be built using commercially available off-the-shelf components from active acoustic system vendors is also in the final stages of design and specification.
Carlson, Thomas J.; Deng, Zhiqun; Myers, Joshua R.; Matzner, Shari; Copping, Andrea E.
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 that provides 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.
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.
Tank alerting system
An armored vehicle warning and defensive system against missile and warhead attack is described comprising: a plurality of sensor means, each sensor means including a plurality of infrared and millimeter wave detectors all of which detectors are connected to a single low power local transmitter associated respectively and located within each said sensor means, said local transmitter generating coded signals in response to an output from any detector in said respective sensor means; means within the armored vehicle to receive any of said coded signals from any of said sensor means local transmitters; and means to process and initiate warning to launch screening grenades against an incoming attacking missile or warhead in response to such receipt of any of said coded signals.
Schabdach, P.G.; Barditch, I.F.
Bachelor Project Proximity Alert
is a set of data structures containing meaningful data about the project, packages and classes; moreover.3 Structure of the Document . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 2 Software Analysis 3 2 Architecture . . . . . . . . . . . . . . . . . . . . . . . . . . . 11 3.2.2 Plug-in structure
Lanza, Michele
Assessment of Supply Chain Energy Efficiency Potentials: A U.S. Case Study
modeling detail allows energy and policy analysts to betterwhich should allow energy and policy analysts to betterin this paper can allow energy and policy analysts to better
Masanet, Eric
Motor Gasoline Market Model documentation report
The purpose of this report is to define the objectives of the Motor Gasoline Market Model (MGMM), describe its basic approach and to provide detail on model functions. This report is intended as a reference document for model analysts, users, and the general public. The MGMM performs a short-term (6- to 9-month) forecast of demand and price for motor gasoline in the US market; it also calculates end of month stock levels. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on market price, demand and stock level.
INFORMATION: Management Alert on Environmental Management's Select Strategy for Disposition of Savannah River Site Depleted Uranium Oxides
The Administration and the Congress, through policy statements and passage of the American Recovery and Reinvestment Act of 2009 (Recovery Act), have signaled that they hope that proactive actions by agency Inspectors General will help ensure that Federal Recovery Act activities are transparent, effective and efficient. In that context, the purpose of this management alert is to share with you concerns that have been raised to the Office of Inspector General regarding the planned disposition of the Savannah River Site's (SRS) inventory of Depleted Uranium (DU) oxides. This inventory, generated as a by-product of the nuclear weapons production process and amounting to approximately 15,600 drums of DU oxides, has been stored at SRS for decades. A Department source we deem reliable and credible recently came to the Office of Inspector General expressing concern that imminent actions are planned that may not provide for the most cost effective disposition of these materials. During April 2009, the Department chose to use funds provided under the Recovery Act to accelerate final disposition of the SRS inventory of DU oxides. After coordination with State of Utah regulators, elected officials and the U.S. Nuclear Regulatory Commission, the Department initiated a campaign to ship the material to a facility operated by EnergySolutions in Clive, Utah. Although one shipment of a portion of the material has already been sent to the EnergySolutions facility, the majority of the product remains at SRS. As had been planned, both for the shipment already made and those planned in the near term, the EnergySolutions facility was to have been the final disposal location for the material. Recently, a member of Congress and various Utah State officials raised questions regarding the radioactive and other constituents present in the DU oxides to be disposed of at the Clive, Utah, facility. These concerns revolved around the characterization of the material and its acceptability under existing licensing criteria. As a consequence, the Governor of Utah met with Department officials to voice concerns regarding further shipments of the material and to seek return of the initial shipment of DU oxides to SRS. Utah's objections and the Department's agreement to accede to the State's demands effectively prohibit the transfer of the remaining material from South Carolina to Utah. In response, the Department evaluated its options and issued a draft decision paper on March 1, 2010, which outlined an alternative for temporary storage until the final disposition issue could be resolved. Under the terms of the proposed option, the remaining shipments from SRS are to be sent on an interim basis to a facility owned by Waste Control Specialists (WCS) in Andrews, Texas. Clearly, this choice carries with it a number of significant logistical burdens, including substantial additional costs for, among several items, repackaging at SRS, transportation to Texas, storage at the interim site, and, repackaging and transportation to the yet-to-be-determined final disposition point. The Department source expressed the concern that the proposal to store the material on an interim basis in Texas was inefficient and unnecessary, asserting: (1) that the materials could remain at SRS until a final disposition path is identified, and that this could be done safely, securely and cost effectively; and, (2) that the nature of the material was not subject to existing compliance agreements with the State of South Carolina, suggesting the viability of keeping the material in storage at SRS until a permanent disposal site is definitively established. We noted that, while the Department's decision paper referred to 'numerous project and programmatic factors that make it impractical to retain the remaining inventory at Savannah River,' it did not outline the specific issues involved nor did it provide any substantive economic or environmental analysis supporting the need for the planned interim storage action. The only apparent driver in this case was a Recovery Act-related goal esta
DNA Analyst Training on Mixture Interpretation
... In order to access the event, you must have either Microsoft Internet Explorer 6.0+ or Mozilla Firefox 3+ browser for Windows operating systems. ...
Model documentation report: Short-Term Hydroelectric Generation Model
The purpose of this report is to define the objectives of the Short- Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the Energy Information Administration`s (AYE) legal obligation to provide adequate documentation in support of its models (Public Law 94-385, Section 57.b.2). The STHGM performs a short-term (18 to 27- month) forecast of hydroelectric generation in the United States using an autoregressive integrated moving average (UREMIA) time series model with precipitation as an explanatory variable. The model results are used as input for the short-term Energy Outlook.
Propane Market Model documentation report
The purpose of this report is to define the objectives of the Propane Market Model (PMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The PMM performs a short-term (6- to 9-months) forecast of demand and price for consumer-grad propane in the national US market; it also calculates the end-of-month stock level during the term of the forecast. Another part of the model allows for short-term demand forecasts for certain individual Petroleum Administration for Defense (PAD) districts. The model is used to analyze market behavior assumptions or shocks and to determine the effect on market price, demand, and stock level.
Management Alert - The 2020 Vision One System Proposal for Commissioning and Startup of the Waste Treatment and Immobilization Plant, IG-0871
The 2020 Vision One System Proposal The 2020 Vision One System Proposal for Commissioning and Startup of the Waste Treatment and Immobilization Plant DOE/IG-0871 October 2012 U.S. Department of Energy Office of Inspector General Office of Audits and Inspections Department of Energy Washington, DC 20585 October 3, 2012 MEMORANDUM FOR THE SECRETARY FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert on "The 2020 Vision One System Proposal for Commissioning and Startup of the Waste Treatment and Immobilization Plant" IMMEDIATE CONCERN The Department of Energy is considering a proposal known at the 2020 Vision One System (2020 Vision) that would implement a phased approach to commissioning the $12.2 billion Waste Treatment and Immobilization Plant (WTP). As part of the phased approach, the Low-
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.
Distillate Market Model documentation report
The purpose of this report is to define the objectives of the Distillate Market Model (DMM), describe its basic approach, and to provide details on model functions. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with EIA`s legal obligation to provide adequate documentation in support of its models. The DMM performs a short-term (6- to 9-month) forecast of demand and retail price for distillate fuel oil in the national US market; it also calculates the end-of-month stock level during the term of the forecast. The model is used to analyze certain market behavior assumptions or shocks and to determine the effect on retail market price, demand, and stock level.
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.
Computer models are abstractions of physical reality and are routinely used for solving practical engineering problems. These models are prepared using large complex computer codes that are widely used in the industry. Patran/Thermal is such a finite element computer code that is used for solving complex heat transfer problems in the industry. Finite element models of complex problems involve making assumptions and simplifications that depend upon the complexity of the problem and upon the judgment of the analysts. The assumptions involve mesh size, solution methods, convergence criteria, material properties, boundary conditions, etc. that could vary from analyst to analyst. All of these assumptions are, in fact, candidates for a purposeful and intended effort to systematically vary each in connection with the others to determine there relative importance or expected overall effect on the modeled outcome. These kinds of models derive from the methods of statistical science and are based on the principles of experimental designs. These, as all computer models, must be validated to make sure that the output from such an abstraction represents reality [1,2]. A new nuclear material packaging design, called 9977, which is undergoing a certification design review, is used to assess the capability of the Patran/Thermal computer model to simulate 9977 thermal response. The computer model for the 9977 package is validated by comparing its output with the test data collected from an actual thermal test performed on a full size 9977 package. Inferences are drawn by performing statistical analyses on the residuals (test data--model predictions).
Gupta, N; Gene Shine, G; Cary Tuckfield, C
Integrated Modeling, Mapping, and Simulation (IMMS) framework for planning exercises.
The Integrated Modeling, Mapping, and Simulation (IMMS) program is designing and prototyping a simulation and collaboration environment for linking together existing and future modeling and simulation tools to enable analysts, emergency planners, and incident managers to more effectively, economically, and rapidly prepare, analyze, train, and respond to real or potential incidents. When complete, the IMMS program will demonstrate an integrated modeling and simulation capability that supports emergency managers and responders with (1) conducting 'what-if' analyses and exercises to address preparedness, analysis, training, operations, and lessons learned, and (2) effectively, economically, and rapidly verifying response tactics, plans and procedures.
Friedman-Hill, Ernest J.; Plantenga, Todd D.
Analysts Grammar or Japanese tn the Nu-ProJect -A Procedural Approach to Analysts Grammar -
.Ten|gucht (Kyosera Co.). Hr. A.Kosaka (~EC Co.). Mr. H.Sakamoto (Ok1 Electr|c Co.), MtSS H.Kume (JCS). Hr. N
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.
EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1
This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts. Broadly, the manual covers WORLD model features in progressively increasing detail. Section 2 provides an overview of the WORLD model, how it has evolved, what its design goals are, what it produces, and where it can be taken with further enhancements. Section 3 reviews model management covering data sources, managing over-optimization, calibration and seasonality, check-points for case construction and common errors. Section 4 describes in detail the WORLD system, including: data and program systems in overview; details of mainframe and PC program control and files;model generation, size management, debugging and error analysis; use with different optimizers; and reporting and results analysis. Section 5 provides a detailed description of every WORLD model data table, covering model controls, case and technology data. Section 6 goes into the details of WORLD matrix structure. It provides an overview, describes how regional definitions are controlled and defines the naming conventions for-all model rows, columns, right-hand sides, and bounds. It also includes a discussion of the formulation of product blending and specifications in WORLD. Several Appendices supplement the main sections.
Robust Decision-making Applied to Model Selection
The scientific and engineering communities are relying more and more on numerical models to simulate ever-increasingly complex phenomena. Selecting a model, from among a family of models that meets the simulation requirements, presents a challenge to modern-day analysts. To address this concern, a framework is adopted anchored in info-gap decision theory. The framework proposes to select models by examining the trade-offs between prediction accuracy and sensitivity to epistemic uncertainty. The framework is demonstrated on two structural engineering applications by asking the following question: Which model, of several numerical models, approximates the behavior of a structure when parameters that define each of those models are unknown? One observation is that models that are nominally more accurate are not necessarily more robust, and their accuracy can deteriorate greatly depending upon the assumptions made. It is posited that, as reliance on numerical models increases, establishing robustness will become as important as demonstrating accuracy.
Hemez, Francois M. [Los Alamos National Laboratory
� A very typical statistical/econometric model assumes something like yt ? i.i.d. f (y, x, ?) (1) where f (�) is a parametric family known up to parameters ?. � Parameter estimation: maximum likelihood �?n = arg max ? ln f (Yt, Xt, ?) (2) t � What if the basic model assumptions of (1) are violated? The parametric family may not contain the true model f0(x, y) that generated the data; or the data may not be i.i.d.; etc. Misspecified
Stas Kolenikov; U Of Missouri; U Of Missouri
Research alert - Dealing with mobility
Perry,M. O'Hara,K. Sellen,A. Harper,R. Brown,B. Interactions, November/December 2001, ACM Press, 9-11 pp 9-11 ACM Press
Perry, M.; O'Hara, K.; Sellen, A.; Harper, R.; Brown, B.; Interactions, November/December 2001, ACM Press, 9-11 pp 9-11 ACM Press [More Details
Green Roofs - Federal Technology Alert
roof of the 12- story Chicago City Hall building has been retrofitted with a 22,000-square-foot rooftop garden. The primary goal of this installation, which was completed in...
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.
ALE-AMR ALE-AMR code Wangyi Liu, John Bernard, Alex Friedman, Nathan Masters, Aaron Fisher, Velemir Mlaker, Alice Koniges, David Eder June 4, 2011 Abstract In this paper we describe an implementation of a single-fluid inter- face model in the ALE-AMR code to simulate surface tension effects. The model does not require explicit information on the physical state of the two phases. The only change to the existing fluid equations is an additional term in the stress tensor. We show results of applying the model to an expanding Al droplet surrounded by an Al vapor, where additional droplets are created. 1 Introduction The Neutralized Drift Compression Experiment II (NDCX II) is an induction accelerator planned for initial commissioning in 2012. The final design calls for a 3 MeV, Li+ ion beam, delivered in a bunch with characteristic pulse duration of 1 ns, and transverse dimension of order 1 mm. The
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 reference document provides a detailed description for energy analysts, other users, and the public. The NEMS Residential Sector Demand Module is currently used for mid-term forecasting purposes and energy policy analysis over the forecast horizon of 1993 through 2020. The model generates forecasts of energy demand for the residential sector by service, fuel, and Census Division. Policy impacts resulting from new technologies, market incentives, and regulatory changes can be estimated using the module. 26 refs., 6 figs., 5 tabs.
Petroleum Market Model of the National Energy Modeling System. Part 1
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.
Model documentation: electricity market module. [15 year forecasts
This report documents the electricity market model. This model is a component of the Intermediate Future Forecasting System (IFFS), the energy market model used to provide projections of energy markets up to 15 years into the future. The electricity market model was developed by the Supply Analysis and Integration Branch as part of building the larger system. This report is written for an audience consisting of mathematical economists, statisticians, operations research analysts, and utility planners. This report contains an overview and a mathematical specification of the electricity market module. It includes a description of the model logic and the individual subroutines in the computer code. A companion document Intermediate Future Forecasting System: Executive Summary (DOE/EIA-430) provides an overview of the components in IFFS and their linkages. 22 figures, 2 tables.
Sanders, R.C.; Murphy, F.H.
DOE Commercial Building Benchmark Models: Preprint
To provide a consistent baseline of comparison and save time conducting such simulations, the U.S. Department of Energy (DOE) has developed a set of standard benchmark building models. This paper will provide an executive summary overview of these benchmark buildings, and how they can save building analysts valuable time. Fully documented and implemented to use with the EnergyPlus energy simulation program, the benchmark models are publicly available and new versions will be created to maintain compatibility with new releases of EnergyPlus. The benchmark buildings will form the basis for research on specific building technologies, energy code development, appliance standards, and measurement of progress toward DOE energy goals. Having a common starting point allows us to better share and compare research results and move forward to make more energy efficient buildings.
Torcelini, P.; Deru, M.; Griffith, B.; Benne, K.; Halverson, M.; Winiarski, D.; Crawley, D. B.
Liquid Fuels Market Model (LFMM) Unveiling LFMM
Gasoline and Diesel Fuel Update (EIA)
Implementation of the Renewable Fuel Implementation of the Renewable Fuel Standard (RFS) in the Liquid Fuels Market Module (LFMM) of NEMS Michael H. Cole, PhD, PE firstname.lastname@example.com August 1, 2012 | Washington, DC LFMM / NEMS overview 2 M. Cole, EIA Advanced Biofuels Workshop August 1, 2012 | Washington, DC * LFMM is a mathematical representation of the U.S. liquid fuels market (motor gasoline, diesel, biofuels, etc.). EIA analysts use LFMM to project motor fuel prices and production approaches through 2040. * LFMM is a cost-minimization linear program (LP). For a given set of fuel demands, LFMM will find the least-cost means of satisfying those demands, subject to various constraints (such as the RFS). * LFMM is part of the National Energy Modeling System (NEMS), which is a computer model of the U.S. energy economy. EIA uses
Modeling & Simulation - GCTool
GCTool Computer Model Helps Focus Fuel Cell Vehicle Research Somewhere near Detroit, an automotive engineer stares at the ceiling, wondering how to squeeze 1% more efficiency out of the fuel cell reformer she's been working on. Never mind 5% more from the next component on her list. Computer software, such as Argonne's GCTool, lets designers "try out" different system configurations, without the expense and delays of actually building numerous prototypes. Our engineer could learn that she's been worrying about the wrong thing. Argonne systems analysts have shown that in fuel cell systems for vehicles, more is not always better. For example, increasing the efficiency of the fuel processor (the component that converts hydrocarbon fuel into hydrogen for the fuel cell) may actually lower the overall system efficiency. "They go in opposite directions. You can make the fuel processor more efficient, but that's because you're stealing energy from somewhere else in the system," says Argonne's Romesh Kumar, who leads Argonne's fuel cell modeling efforts.
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.
Meeting Human Reliability Requirements through Human Factors Design, Testing, and Modeling
In the design of novel systems, it is important for the human factors engineer to work in parallel with the human reliability analyst to arrive at the safest achievable design that meets design team safety goals and certification or regulatory requirements. This paper introduces the System Development Safety Triptych, a checklist of considerations for the interplay of human factors and human reliability through design, testing, and modeling in product development. This paper also explores three phases of safe system development, corresponding to the conception, design, and implementation of a system.
R. L. Boring
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).
The National Energy Modeling System The
2000 2000 (AEO2000) are generated from the National Energy Modeling System (NEMS), developed and main- tained by the Office of Integrated Analysis and Fore- casting of the Energy Information Administration (EIA). In addition to its use in the development of the AEO projections, NEMS is also used in analytical studies for the U.S. Congress and other offices within the Department of Energy. The AEO forecasts are also used by analysts and planners in other govern- ment agencies and outside organizations. The projections in NEMS are developed with the use of a market-based approach to energy analysis. For each fuel and consuming sector, NEMS balances the energy supply and demand, accounting for the eco- nomic competition between the various energy fuels and sources. The time horizon of NEMS is the mid- term period, approximately 20 years in the future. In order to represent the regional differences
Valuing Intel: A Strange Tale of Analysts and Announcements
Cash flow forecast revisions and stock price changes Ifflow forecast revisions Pre-announcement Year Stock priceforecasts, the three adjustment scenarios can be translated into implied stock price
Cornell, Bradford
Drain and overflow holes are integral to the nuclear criticality safety basis of many processes and provide different functions in achieving their safety goal. In most cases, unverified engineering judgement was used to conclude that the holes were adequate to accomplish their mission. Such judgement may adequately serve some configurations but is inadequate in other applications. It was determined that the exact function of every hole for both normal and upset process conditions must be understood and clearly documented. Y-12 has embarked on an effort to document engineering analyses of drain and overflow holes. This effort is essential to demonstrating that the holes are capable performing their intended safety function. The Y-12 EUO approach is based on criticality safety function and engineering analysis. The main components of the policies regarding drain holes are: C The criticality safety requirements are written in terms of function (e.g., depth in pan filter must always be less than 5 cm). C Engineering justifications are being written to show existing drains meet required function. Sometimes, detailed analysis of inflows and outflows is required. In some other cases, physical functional tests are performed. C Drains are documented on controlled drawings to ensure configuration control. A program of periodic inspections (usually annual) is in place for each required drain.
LeTellier, m.s.; Smallwood, d.j.
Semantic annotation based exploratory search for information analysts
The system presented in this article aims to improve information access through the use of semantic annotation utilizing a non-traditional approach. Instead of applying semantic annotations to enhance the internal information access mechanisms, we use ... Keywords: Empirical study, Exploratory search, Named entity, Semantic annotation, User interface
Jae-wook Ahn; Peter Brusilovsky; Jonathan Grady; Daqing He; Radu Florian
DNA Analyst Training on Mixture Interpretation Webcast Now ...
... webcast to participants across the country. ... threshold affect data analysis, interpretation, conclusions ... Please note that certificates of participation ...
10 Questions for a Wind & Solar Integration Analyst: Kirsten...
Laboratory (NREL) scientist Kirsten Orwig specializes in transmission and grid integration for wind and solar energy. She shared with us how her experiences in storm chasing...
Tryon, Michael D.
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.
Modeling and Simulating Blast Effects on Electric Substations
A software simulation tool was developed at the Idaho National Laboratory to estimate the fragility of electric substation components subject to an explosive blast. Damage caused by explosively driven fragments on a generic electric substation was estimated by using a ray-tracing technique to track and tabulate fragment impacts and penetrations of substation components. This technique is based on methods used for assessing vulnerability of military aircraft and ground vehicles to explosive blasts. An open-source rendering and ray-trace engine was used for geometric modeling and interactions between fragments and substation components. Semi-empirical material interactions models were used to calculate blast parameters and simulate high-velocity material interactions between explosively driven fragments and substation components. Finally, a Monte Carlo simulation was added to model the random nature of fragment generation allowing a skilled analyst to predict failure probabilities of substation components.
Lyle G. Roybal; Robert F. Jeffers; Kent E. McGillivary; Tony D. Paul; Ryan Jacobson
Testing of constitutive models in LAME.
Constitutive models for computational solid mechanics codes are in LAME--the Library of Advanced Materials for Engineering. These models describe complex material behavior and are used in our finite deformation solid mechanics codes. To ensure the correct implementation of these models, regression tests have been created for constitutive models in LAME. A selection of these tests is documented here. Constitutive models are an important part of any solid mechanics code. If an analysis code is meant to provide accurate results, the constitutive models that describe the material behavior need to be implemented correctly. Ensuring the correct implementation of constitutive models is the goal of a testing procedure that is used with the Library of Advanced Materials for Engineering (LAME) (see [1] and [2]). A test suite for constitutive models can serve three purposes. First, the test problems provide the constitutive model developer a means to test the model implementation. This is an activity that is always done by any responsible constitutive model developer. Retaining the test problem in a repository where the problem can be run periodically is an excellent means of ensuring that the model continues to behave correctly. A second purpose of a test suite for constitutive models is that it gives application code developers confidence that the constitutive models work correctly. This is extremely important since any analyst that uses an application code for an engineering analysis will associate a constitutive model in LAME with the application code, not LAME. Therefore, ensuring the correct implementation of constitutive models is essential for application code teams. A third purpose of a constitutive model test suite is that it provides analysts with example problems that they can look at to understand the behavior of a specific model. Since the choice of a constitutive model, and the properties that are used in that model, have an enormous effect on the results of an analysis, providing problems that highlight the behavior of various constitutive models to the engineer can be of great benefit. LAME is currently implemented in the Sierra based solid mechanics codes Adagio [3] and Presto [4]. The constitutive models in LAME are available in both codes. Due to the nature of a transient dynamics code--e.g. Presto--it is difficult to test a constitutive model due to inertia effects that show up in the solution. Therefore the testing of constitutive models is primarily done in Adagio. All of the test problems detailed in this report are run in Adagio. It is the goal of the constitutive model test suite to provide a useful service for the constitutive model developer, application code developer and engineer that uses the application code. Due to the conflicting needs and tight time constraints on solid mechanics code development, no requirements exist for implementing test problems for constitutive models. Model developers are strongly encouraged to provide test problems and document those problems, but given the choice of having a model without a test problem or no model at all, certain requirements must be kept loose. A flexible code development environment, especially with regards to research and development in constitutive modeling, is essential to the success of such an environment. This report provides documentation of a number of tests for the constitutive models in LAME. Each section documents a separate test with a brief description of the model, the test problem and the results. This report is meant to be updated periodically as more test problems are created and put into the test suite.
Hammerand, Daniel Carl; Scherzinger, William Mark
Critical infrastructure protection decision support system decision model : overview and quick-start user's guide.
The Critical Infrastructure Protection Decision Support System Decision Model (CIPDSS-DM) is a useful tool for comparing the effectiveness of alternative risk-mitigation strategies on the basis of CIPDSS consequence scenarios. The model is designed to assist analysts and policy makers in evaluating and selecting the most effective risk-mitigation strategies, as affected by the importance assigned to various impact measures and the likelihood of an incident. A typical CIPDSS-DM decision map plots the relative preference of alternative risk-mitigation options versus the annual probability of an undesired incident occurring once during the protective life of the investment, assumed to be 20 years. The model also enables other types of comparisons, including a decision map that isolates a selected impact variable and displays the relative preference for the options of interest--parameterized on the basis of the contribution of the isolated variable to total impact, as well as the likelihood of the incident. Satisfaction/regret analysis further assists the analyst or policy maker in evaluating the confidence with which one option can be selected over another.
Samsa, M.; Van Kuiken, J.; Jusko, M.; Decision and Information Sciences
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.
A standardized approach to PV system performance model validation.
PV performance models are used to predict how much energy a PV system will produce at a given location and subject to prescribed weather conditions. These models are commonly used by project developers to choose between module technologies and array designs (e.g., fixed tilt vs. tracking) for a given site or to choose between different geographic locations, and are used by the financial community to establish project viability. Available models can differ significantly in their underlying mathematical formulations and assumptions and in the options available to the analyst for setting up a simulation. Some models lack complete documentation and transparency, which can result in confusion on how to properly set up, run, and document a simulation. Furthermore, the quality and associated uncertainty of the available data upon which these models rely (e.g., irradiance, module parameters, etc.) is often quite variable and frequently undefined. For these reasons, many project developers and other industry users of these simulation tools have expressed concerns related to the confidence they place in PV performance model results. To address this problem, we propose a standardized method for the validation of PV system-level performance models and a set of guidelines for setting up these models and reporting results. This paper describes the basic elements for a standardized model validation process adapted especially for PV performance models, suggests a framework to implement the process, and presents an example of its application to a number of available PV performance models.
Stein, Joshua S.; Jester, Terry (Hudson Clean Energy Partners); Posbic, Jean (BP Solar); Kimber, Adrianne (First Solar); Cameron, Christopher P.; Bourne, Benjamin (SunPower Corporation)
An economic feasibility analysis of distributed electric power generation based upon the natural gas-fired fuel cell: a model of a central utility plant.
This central utilities plant model details the major elements of a central utilities plant for several classes of users. The model enables the analyst to select optional, cost effective, plant features that are appropriate to a fuel cell application. These features permit the future plant owner to exploit all of the energy produced by the fuel cell, thereby reducing the total cost of ownership. The model further affords the analyst an opportunity to identify avoided costs of the fuel cell-based power plant. This definition establishes the performance and capacity information, appropriate to the class of user, to support the capital cost model and the feasibility analysis. It is detailed only to the depth required to identify the major elements of a fuel cell-based system. The model permits the choice of system features that would be suitable for a large condominium complex or a residential institution such as a hotel, boarding school or prison. The user may also select large office buildings that are characterized by 12 to 16 hours per day of operation or industrial users with a steady demand for thermal and electrical energy around the clock.
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.
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
An approach to model validation and model-based prediction -- polyurethane foam case study.
Enhanced software methodology and improved computing hardware have advanced the state of simulation technology to a point where large physics-based codes can be a major contributor in many systems analyses. This shift toward the use of computational methods has brought with it new research challenges in a number of areas including characterization of uncertainty, model validation, and the analysis of computer output. It is these challenges that have motivated the work described in this report. Approaches to and methods for model validation and (model-based) prediction have been developed recently in the engineering, mathematics and statistical literatures. In this report we have provided a fairly detailed account of one approach to model validation and prediction applied to an analysis investigating thermal decomposition of polyurethane foam. A model simulates the evolution of the foam in a high temperature environment as it transforms from a solid to a gas phase. The available modeling and experimental results serve as data for a case study focusing our model validation and prediction developmental efforts on this specific thermal application. We discuss several elements of the ''philosophy'' behind the validation and prediction approach: (1) We view the validation process as an activity applying to the use of a specific computational model for a specific application. We do acknowledge, however, that an important part of the overall development of a computational simulation initiative is the feedback provided to model developers and analysts associated with the application. (2) We utilize information obtained for the calibration of model parameters to estimate the parameters and quantify uncertainty in the estimates. We rely, however, on validation data (or data from similar analyses) to measure the variability that contributes to the uncertainty in predictions for specific systems or units (unit-to-unit variability). (3) We perform statistical analyses and hypothesis tests as a part of the validation step to provide feedback to analysts and modelers. Decisions on how to proceed in making model-based predictions are made based on these analyses together with the application requirements. Updating modifying and understanding the boundaries associated with the model are also assisted through this feedback. (4) We include a ''model supplement term'' when model problems are indicated. This term provides a (bias) correction to the model so that it will better match the experimental results and more accurately account for uncertainty. Presumably, as the models continue to develop and are used for future applications, the causes for these apparent biases will be identified and the need for this supplementary modeling will diminish. (5) We use a response-modeling approach for our predictions that allows for general types of prediction and for assessment of prediction uncertainty. This approach is demonstrated through a case study supporting the assessment of a weapons response when subjected to a hydrocarbon fuel fire. The foam decomposition model provides an important element of the response of a weapon system in this abnormal thermal environment. Rigid foam is used to encapsulate critical components in the weapon system providing the needed mechanical support as well as thermal isolation. Because the foam begins to decompose at temperatures above 250 C, modeling the decomposition is critical to assessing a weapons response. In the validation analysis it is indicated that the model tends to ''exaggerate'' the effect of temperature changes when compared to the experimental results. The data, however, are too few and to restricted in terms of experimental design to make confident statements regarding modeling problems. For illustration, we assume these indications are correct and compensate for this apparent bias by constructing a model supplement term for use in the model-based predictions. Several hypothetical prediction problems are created and addressed. Hypothetical problems are used because no guidance was provided concern
Dowding, Kevin J.; Rutherford, Brian Milne
JOURNAL TOOLS Get New Content Alerts
, Karel Vytras, Kurt Kalcher, Alain Walcarius, Joseph Wang Advanced > Saved Searches > SEARCH RESOURCES ABOUT US LOGIN REMEMBER ME Enter e-mail address Enter password In this journal #12;Carbon Paste] Electroanalysis 2010, vol. 22, no. 2, pp. 223228 ABOUT US HELP CONTACT US AGENTS ADVERTISERS MEDIA PRIVACY TERMS
Aksay, Ilhan A.
May 18, 2012 SBIR Alerting Service
AND INFORMATION DHS DNDO FY12.1 SBIR Solicitation Opens The Department of Homeland Security (DHS) Domestic Nuclear The Department of Homeland Security (DHS) Science & Technology (S&T) program began accepting proposals
July 27, 2012 SBIR Alerting Service
Nonproliferation #12;The 166-page Topic document contains descriptions of all of the topics and associated
Environment Health and Safety Hazard Alert
investigative work of the agents of the NASA Office of Inspector General. They also acknowledged the effortsUnited States Attorney's Office District of Columbia Jeffrey A. Taylor United States Attorney NEWS in 2005, U.S. Attorney Jeffrey A. Taylor and NASA Deputy Inspector General Thomas J. Howard announced
Habib, Ayman
Improved Satellite-based Emergency Alerting System
Rapid-onset natural hazards have claimed more than 2.8 million lives worldwide in the past 20 years. This category includes such events as earthquakes, landslides, hurricanes, tornadoes, floods, volcanic eruptions, wildfires, and tsunamis. ...
E. N. Bernard; H. B. Milburn
Developing automated methods for data collection and analysis that can facilitate nuclear nonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facility modeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facility modeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facility modeling capabilities and illustrates how they could be integrated and utilized for nonproliferation analysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facility modeling tools. After considering a representative sampling of key facility modeling capabilities, the proposed integration framework is illustrated with several examples.
Gorensek, M.; Hamm, L.; Garcia, H.; Burr, T.; Coles, G.; Edmunds, T.; Garrett, A.; Krebs, J.; Kress, R.; Lamberti, V.; Schoenwald, D.; Tzanos, C.; Ward, R.
Integration of Facility Modeling Capabilities for Nuclear Nonproliferation Analysis
Humberto E. Garcia
Integration of facility modeling capabilities for nuclear nonproliferation analysis
Garcia, Humberto [Idaho National Laboratory (INL); Burr, Tom [Los Alamos National Laboratory (LANL); Coles, Garill A [ORNL; Edmunds, Thomas A. [Lawrence Livermore National Laboratory (LLNL); Garrett, Alfred [Savannah River National Laboratory (SRNL); Gorensek, Maximilian [Savannah River National Laboratory (SRNL); Hamm, Luther [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Tzanos, Constantine P [ORNL; Ward, Richard C [ORNL
Development of Probabilistic Risk Assessment Model for BWR Shutdown Modes 4 and 5 Integrated in SPAR Model
Nuclear plant operating experience and several studies show that the risk from shutdown operation during modes 4, 5, and 6 can be significant This paper describes development of the standard template risk evaluation models for shutdown modes 4, and 5 for commercial boiling water nuclear power plants (BWR). The shutdown probabilistic risk assessment model uses full power Nuclear Regulatory Commission�s (NRC�s) Standardized Plant Analysis Risk (SPAR) model as the starting point for development. The shutdown PRA models are integrated with their respective internal events at-power SPAR model. This is accomplished by combining the modified system fault trees from SPAR full power model with shutdown event tree logic. For human reliability analysis (HRA), the SPAR HRA (SPAR-H) method is used which requires the analysts to complete relatively straight forward worksheet, including the performance shaping factors (PSFs). The results are then used to estimate HEP of interest. The preliminary results indicate the risk is dominated by the operator�s ability to diagnose the events and provide long term cooling.
S. T. Khericha; S. Sancakter; J. Mitman; J. Wood
Tritium source term analysis and the subsequent dispersion and consequence analyses supporting the safety documentation of Department of Energy nuclear facilities are especially sensitive to the applied software analysis methodology, input data and user assumptions. Three sequential areas in tritium accident analysis are examined in this study to illustrate where the analyst should exercise caution. Included are: (1) the development of a tritium oxide source term; (2) use of a full tritium dispersion model based on site-specific information to determine an appropriate deposition scaling factor for use in more simplified, broader modeling, and (3) derivation of a special tritium compound (STC) dose conversion factor for consequence analysis, consistent with the nature of the originating source material. It is recommended that unless supporting, defensible evidence is available to the contrary, the tritium release analyses should assume tritium oxide as the species released (or chemically transformed under accident's environment). Important exceptions include STC situations and laboratory-scale releases of hydrogen gas. In the modeling of the environmental transport, a full phenomenology model suggests that a deposition velocity of 0.5 cm/s is an appropriate value for environmental features of the Savannah River Site. This value is bounding for certain situations but non-conservative compared to the full model in others. Care should be exercised in choosing other factors such as the exposure time and the resuspension factor.
Okula, K
An Agent-based Strategy for Deploying Analysis Models into Specification and Design for Distributed APS Systems
Despite the extensive use of the agent technology in the Supply Chain Management field, its integration with Advanced Planning and Scheduling (APS) tools still represents a promising field with several open research questions. Specifically, the literature falls short in providing an integrated framework to analyze, specify, design and implement simulation experiments covering the whole simulation cycle. Thus, this paper proposes an agent-based strategy to convert the 'analysis' models into 'specification' and 'design' models combining two existing methodologies proposed in the literature. The first one is a recent and unique approach dedicated to the 'analysis' of agent-based APS systems. The second one is a well-established methodological framework to 'specify' and 'design' agent-based supply chain systems. The proposed conversion strategy is original and is the first one allowing simulation analysts to integrate the whole simulation development process in the domain of distributed APS.
de Santa-Eulalia, Luis Antonio; Frayret, Jean-Marc
Surety of human elements of high consequence systems: An organic model
Despite extensive safety analysis and application of safety measures, there is a frequent lament, ``Why do we continue to have accidents?'' Two breakdowns are prevalent in risk management and prevention. First, accidents result from human actions that engineers, analysts and management never envisioned and second, controls, intended to preclude/mitigate accident sequences, prove inadequate. This paper addresses the first breakdown, the inability to anticipate scenarios involving human action/inaction. The failure of controls has been addressed in a previous publication (Forsythe and Grose, 1998). Specifically, this paper presents an approach referred to as surety. The objective of this approach is to provide high levels of assurance in situations where potential system failure paths cannot be fully characterized. With regard to human elements of complex systems, traditional approaches to human reliability are not sufficient to attain surety. Consequently, an Organic Model has been developed to account for the organic properties exhibited by engineered systems that result from human involvement in those systems.
Health effects models for nuclear power plant accident consequence analysis: Low LET radiation: Part 2, Scientific bases for health effects models
This report provides dose-response models intended to be used in estimating the radiological health effects of nuclear power plant accidents. Models of early and continuing effects, cancers and thyroid nodules, and genetic effects are provided. Two-parameter Weibull hazard functions are recommended for estimating the risks of early and continuing health effects. Three potentially lethal early effects -- the hematopoietic, pulmonary and gastrointestinal syndromes -- are considered. Linear and linear-quadratic models are recommended for estimating cancer risks. Parameters are given for analyzing the risks of seven types of cancer in adults -- leukemia, bone, lung, breast, gastrointestinal, thyroid and ''other''. The category, ''other'' cancers, is intended to reflect the combined risks of multiple myeloma, lymphoma, and cancers of the bladder, kidney, brain, ovary, uterus and cervix. Models of childhood cancers due to in utero exposure are also provided. For most cancers, both incidence and mortality are addressed. Linear and linear-quadratic models are also recommended for assessing genetic risks. Five classes of genetic disease -- dominant, x-linked, aneuploidy, unbalanced translocation and multifactorial diseases --are considered. In addition, the impact of radiation-induced genetic damage on the incidence of peri-implantation embryo losses is discussed. The uncertainty in modeling radiological health risks is addressed by providing central, upper, and lower estimates of all model parameters. Data are provided which should enable analysts to consider the timing and severity of each type of health risk. 22 refs., 14 figs., 51 tabs.
Abrahamson, S.; Bender, M.; Book, S.; Buncher, C.; Denniston, C.; Gilbert, E.; Hahn, F.; Hertzberg, V.; Maxon, H.; Scott, B.
Understanding the system in risk assessment
In the assessment of a system, understanding the system is central. Even so, most of the current literature takes a narrow view of understanding, making only the catalog of system ``assets`` explicit, while maintaining the balance of the analyst`s understanding inside the analyst`s head. This can lead to problems with non-repeatability and incompleteness of assessment results. This paper introduces the notion of using explicit system models to document the analyst`s understanding of the system and shows that, from these models, standard assessment products, such as fault trees and event trees, can be automatically derived. This paper also presents five ``views`` of a system that can be used to document the analyst`s understanding of the system. These views go well beyond the standard instruction to identify the system`s assets to show that a much richer understanding of the system can be required for effective assessment.
Craft, R.; Vandewart, R.; Wyss, G.; Funkhouser, D.
Development of Simplified Probabilistic Risk Assessment Model for Seismic Initiating Event
ABSTRACT This paper discusses a simplified method to evaluate seismic risk using a methodology built on dividing the seismic intensity spectrum into multiple discrete bins. The seismic probabilistic risk assessment model uses Nuclear Regulatory Commission�s (NRC�s) full power Standardized Plant Analysis Risk (SPAR) model as the starting point for development. The seismic PRA models are integrated with their respective internal events at-power SPAR model. This is accomplished by combining the modified system fault trees from the full power SPAR model with seismic event tree logic. The peak ground acceleration is divided into five bins. The g-value for each bin is estimated using the geometric mean of lower and upper values of that particular bin and the associated frequency for each bin is estimated by taking the difference between upper and lower values of that bin. The component�s fragilities are calculated for each bin using the plant data, if available, or generic values of median peak ground acceleration and uncertainty values for the components. For human reliability analysis (HRA), the SPAR HRA (SPAR-H) method is used which requires the analysts to complete relatively straight forward worksheets that include the performance shaping factors (PSFs). The results are then used to estimate human error probabilities (HEPs) of interest. This work is expected to improve the NRC�s ability to include seismic hazards in risk assessments for operational events in support of the reactor oversight program (e.g., significance determination process).
S. Khericha; R. Buell; S. Sancaktar; M. Gonzalez; F. Ferrante
Statistical analysis of what drives industrial energy demand: Volume III of the PURHAPS model documentation
The overall price of energy has far less direct effect on industrial demand than conventional models, such as the Jorgenson translog model, have indicated. Much of what appears to be conservation in recent years can be explained as the result of structural changes (e.g., less steel production), electrification, and a slowdown in the long-term trend towards more use of energy relative to other factors of production. This report documents these findings and the other findings from the statistical analysis used in developing the PURchased Heat And Power System, as used in producing the 1982 Annual Energy Outlook forecasts. This report is intended partly to convey these findings to substantive energy experts and energy policy analysts; it is also intended to fulfill EIA requirements for model documentation. Volume I of this series documents the full mathematical specification of the model, including accounting identites and benchmarks; Volume II documents the data used both in the estimation and in the model. Appendix B of this report provides a purely historical breakdown of actual changes in oil and electricity use from 1974 to 1981, showing what changes are due to general economic growth, improved general productivity, etc. preliminary work for the 1983 Annual Energy Outlook is discussed in general terms.
Werbos, P.J.
Validated modeling of distributed energy resources at distribution voltages : LDRD project 38672.
A significant barrier to the deployment of distributed energy resources (DER) onto the power grid is uncertainty on the part of utility engineers regarding impacts of DER on their distribution systems. Because of the many possible combinations of DER and local power system characteristics, these impacts can most effectively be studied by computer simulation. The goal of this LDRD project was to develop and experimentally validate models of transient and steady state source behavior for incorporation into utility distribution analysis tools. Development of these models had not been prioritized either by the distributed-generation industry or by the inverter industry. A functioning model of a selected inverter-based DER was developed in collaboration with both the manufacturer and industrial power systems analysts. The model was written in the PSCAD simulation language, a variant of the ElectroMagnetic Transients Program (EMTP), a code that is widely used and accepted by utilities. A stakeholder team was formed and a methodology was established to address the problem. A list of detailed DER/utility interaction concerns was developed and prioritized. The list indicated that the scope of the problem significantly exceeded resources available for this LDRD project. As this work progresses under separate funding, the model will be refined and experimentally validated. It will then be incorporated in utility distribution analysis tools and used to study a variety of DER issues. The key next step will be design of the validation experiments.
Ralph, Mark E.; Ginn, Jerry W.
Risk analysis of nuclear safeguards regulations. [Aggregated Systems Model (ASM)
The Aggregated Systems Model (ASM), a probabilisitic risk analysis tool for nuclear safeguards, was applied to determine benefits and costs of proposed amendments to NRC regulations governing nuclear material control and accounting systems. The objective of the amendments was to improve the ability to detect insiders attempting to steal large quantities of special nuclear material (SNM). Insider threats range from likely events with minor consequences to unlikely events with catastrophic consequences. Moreover, establishing safeguards regulations is complicated by uncertainties in threats, safeguards performance, and consequences, and by the subjective judgments and difficult trade-offs between risks and safeguards costs. The ASM systematically incorporates these factors in a comprehensive, analytical framework. The ASM was used to evaluate the effectiveness of current safeguards and to quantify the risk of SNM theft. Various modifications designed to meet the objectives of the proposed amendments to reduce that risk were analyzed. Safeguards effectiveness was judged in terms of the probability of detecting and preventing theft, the expected time to detection, and the expected quantity of SNM diverted in a year. Data were gathered in tours and interviews at NRC-licensed facilities. The assessment at each facility was begun by carefully selecting scenarios representing the range of potential insider threats. A team of analysts and facility managers assigned probabilities for detection and prevention events in each scenario. Using the ASM we computed the measures of system effectiveness and identified cost-effective safeguards modifications that met the objectives of the proposed amendments.
Al-Ayat, R.A.; Altman, W.D.; Judd, B.R.
Developing automated methods for data collection and analysis that can facilitate nuclearnonproliferation assessment is an important research area with significant consequences for the effective global deployment of nuclear energy. Facilitymodeling that can integrate and interpret observations collected from monitored facilities in order to ascertain their functional details will be a critical element of these methods. Although improvements are continually sought, existing facilitymodeling tools can characterize all aspects of reactor operations and the majority of nuclear fuel cycle processing steps, and include algorithms for data processing and interpretation. Assessing nonproliferation status is challenging because observations can come from many sources, including local and remote sensors that monitor facility operations, as well as open sources that provide specific business information about the monitored facilities, and can be of many different types. Although many current facility models are capable of analyzing large amounts of information, they have not been integrated in an analyst-friendly manner. This paper addresses some of these facilitymodelingcapabilities and illustrates how they could be integrated and utilized for nonproliferationanalysis. The inverse problem of inferring facility conditions based on collected observations is described, along with a proposed architecture and computer framework for utilizing facilitymodeling tools. After considering a representative sampling of key facilitymodelingcapabilities, the proposed integration framework is illustrated with several examples.
Burr, Tom [Los Alamos National Laboratory (LANL); Gorensek, M. B. [Savannah River National Laboratory (SRNL); Krebs, John [Argonne National Laboratory (ANL); Kress, Reid L [ORNL; Lamberti, Vincent [Y-12 National Security Complex; Schoenwald, David [ORNL; Ward, Richard C [ORNL
Modeling of Uncertainties in Major Drivers in U.S. Electricity Markets: Preprint
This paper presents information on the Stochastic Energy Deployment System (SEDS) model. DOE and NREL are developing this new model, intended to address many of the shortcomings of the current suite of energy models. Once fully built, the salient qualities of SEDS will include full probabilistic treatment of the major uncertainties in national energy forecasts; code compactness for desktop application; user-friendly interface for a reasonably trained analyst; run-time within limits acceptable for quick-response analysis; choice of detailed or aggregate representations; and transparency of design, code, and assumptions. Moreover, SEDS development will be increasingly collaborative, as DOE and NREL will be coordinating with multiple national laboratories and other institutions, making SEDS nearly an 'open source' project. The collaboration will utilize the best expertise on specific sectors and problems, and also allow constant examination and review of the model. This paper outlines the rationale for this project and a description of its alpha version, as well as some example results. It also describes some of the expected development efforts in SEDS.
Short, W.; Ferguson, T.; Leifman, M.
Comparison of Idealized and Real-World City Station Citing Models for Hydrogen Distribution
integration team for the National Hydrogen Roadmap in 2002.in the H2A, a group of hydrogen analysts convened by theframework for analyzing hydrogen systems, and serves on the
Yang, Christopher; Nicholas, Michael A; Ogden, Joan M
Working with Policy Makers on Their Choices: A Decision Analyst Reminisces
As a decision consultant and researcher, I discuss 40 years of working with policy makers on energy, environmental and foreign policy, defense, and other national issues, making heavy use of applied decision theory. I focus attention on decisions with ... Keywords: applications, decision analysis, government, infrastructure decisions, public policy
Rex V. Brown
A Review of the Costs of Nuclear Power Michael T. Hogue, Research Analyst
long-term option for the future of the College's Reactor. 10. The College runs a small CONSORT nuclear reactor at Silwood Park. Ultimate responsibility for funding its end of life decommissioning currently of the liability, or postponing decommissioning by extending the life of the Reactor. The Paper proposed a method
Provancher, William
How Do We Trace Requirements? An Initial Study of Analyst Behavior in Trace Validation Tasks
above suggest that looking at the logs side-by-side may reveal some common trends. Log analysis revealed
Dekhtyar, Alexander
Over the past five years, analysts and policymakers have become increasingly interested in the "full
analysis to argue that motor vehicles and gasoline are terrifi- cally underpriced, while others have used it is wise to tax gasoline or encourage alternative modes of travel. A social cost analysis can provide cost in the "full social cost" of motor vehicle use. Not surprisingly, there is little agreement about how
Murphy, James J.
The tobacco industry's use of Wall Street analysts in shaping policy
prices would bankrupt industry. Washington Times, 27 AprilSettlement with the Tobacco Industry: National AssociationScience for hire: a tobacco industry strategy to influence
Alamar, B C; Glantz, Stanton A. Ph.D.
2002_10_18-11_45_56,analyst,Continuation,"Need info on ...
... rivers caused an overproduction of tiny phytoplankton which in turn blocked the light reaching the sea grasses and algae, essential components of ...
Compiled by the Wisconsin Legislative Reference Bureau Prepared by Ryan Miller, Legislative Analyst
The Wisconsin Scorecard is a compendium of 50-state rankings spotlighting Wisconsin as it compares to other states. It is intended to be a handy reference guide for
How Wisconsin; Other States; How Wisconsin; Compares Other States; Layout Lynn Lemanski; Senior Publications; Cover Design; Kathleen Sitter; Senior Publications
Health effects models for nuclear power plant accident consequence analysis. Part 1, Introduction, integration, and summary: Revision 2
This report is a revision of NUREG/CR-4214, Rev. 1, Part 1 (1990), Health Effects Models for Nuclear Power Plant Accident Consequence Analysis. This revision has been made to incorporate changes to the Health Effects Models recommended in two addenda to the NUREG/CR-4214, Rev. 1, Part 11, 1989 report. The first of these addenda provided recommended changes to the health effects models for low-LET radiations based on recent reports from UNSCEAR, ICRP and NAS/NRC (BEIR V). The second addendum presented changes needed to incorporate alpha-emitting radionuclides into the accident exposure source term. As in the earlier version of this report, models are provided for early and continuing effects, cancers and thyroid nodules, and genetic effects. Weibull dose-response functions are recommended for evaluating the risks of early and continuing health effects. Three potentially lethal early effects -- the hematopoietic, pulmonary, and gastrointestinal syndromes are considered. Linear and linear-quadratic models are recommended for estimating the risks of seven types of cancer in adults - leukemia, bone, lung, breast, gastrointestinal, thyroid, and ``other``. For most cancers, both incidence and mortality are addressed. Five classes of genetic diseases -- dominant, x-linked, aneuploidy, unbalanced translocations, and multifactorial diseases are also considered. Data are provided that should enable analysts to consider the timing and severity of each type of health risk.
Evans, J.S. [Harvard School of Public Health, Boston, MA (United States); Abrahmson, S. [Wisconsin Univ., Madison, WI (United States); Bender, M.A. [Brookhaven National Lab., Upton, NY (United States); Boecker, B.B.; Scott, B.R. [Inhalation Toxicology Research Inst., Albuquerque, NM (United States); Gilbert, E.S. [Battelle Pacific Northwest Lab., Richland, WA (United States)
GEMINI (Geo-Engineering Modeling through Internet Informatics) is a public-domain web application focused on analysis and modeling of petroleum reservoirs and plays (http://www.kgs.ukans.edu/Gemini/index.html). GEMINI creates a virtual project by ''on-the-fly'' assembly and analysis of on-line data either from the Kansas Geological Survey or uploaded from the user. GEMINI's suite of geological and engineering web applications for reservoir analysis include: (1) petrofacies-based core and log modeling using an interactive relational rock catalog and log analysis modules; (2) a well profile module; (3) interactive cross sections to display ''marked'' wireline logs; (4) deterministic gridding and mapping of petrophysical data; (5) calculation and mapping of layer volumetrics; (6) material balance calculations; (7) PVT calculator; (8) DST analyst, (9) automated hydrocarbon association navigator (KHAN) for database mining, and (10) tutorial and help functions. The Kansas Hydrocarbon Association Navigator (KHAN) utilizes petrophysical databases to estimate hydrocarbon pay or other constituent at a play- or field-scale. Databases analyzed and displayed include digital logs, core analysis and photos, DST, and production data. GEMINI accommodates distant collaborations using secure password protection and authorized access. Assembled data, analyses, charts, and maps can readily be moved to other applications. GEMINI's target audience includes small independents and consultants seeking to find, quantitatively characterize, and develop subtle and bypassed pays by leveraging the growing base of digital data resources. Participating companies involved in the testing and evaluation of GEMINI included Anadarko, BP, Conoco-Phillips, Lario, Mull, Murfin, and Pioneer Resources.
W. Lynn Watney; John H. Doveton
Quantum Circuit Model Topological Model
Quantum Circuit Model Topological Model Comparison of Models Topological Quantum Computation Eric Rowell Texas A&M University October 2010 Eric Rowell Topological Quantum Computation #12;Quantum Circuit Model Topological Model Comparison of Models Outline 1 Quantum Circuit Model Gates, Circuits
Rowell, Eric C.
Assessing the Potential of Developing a Tool for Residential Facility Management Using Building Information Modeling Software
Building Information Modeling (BIM) has changed the ways buildings are designed and constructed. Along with design and construction, operation and maintenance of the built facility is also gaining importance in the Architecture-Engineering-Construction industry. Facility management (FM) is widely adopted by industrial, healthcare and other types of commercial facilities for better maintenance and management of assets. BIM is being adopted in the field of Facility management and has become one of the most important tools for better application of operation and maintenance. Facility management is performed by professionals with training and experience in the related fields of building operation, maintenance, upgrade and repair. BIM is a professional tool which requires intense training and knowledge. This tool cannot be used and is hard to understand for non-professionals and people who do not have training to use it. Management of residences is as important as management of commercial, industrial and healthcare facilities for the life and smooth running of such facilities. Residential facilities are properties with one or more residential units or buildings. These buildings could be low rise, high rise or individual units. This thesis will help in analyzing the scope of using BIM and Application Programming Interface (API) for management of maintenance in residences by the owner who are not professionally trained. The research analyzes a single, basic function of a BIM tool to determine the potential for such a tool to help non-expert, first time user to be able to understand their residential facilities maintenance requirements. It is an attempt to propose a system which provides alerts to the owners regarding required maintenance and which shows the location of the work in a 3D model. The system was designed and tested in Microsoft Windows 7 operating system by using Autodesk� Revit building information software to make the 3D model, a Revit API plug-in to craft the alerts and show the location of work and Open Database Connectivity (ODBC) to export the model to a web browser. The system worked through Revit program, but the concept of applying the system to work through web browser failed.
Madhani, Himanshu 1986-
Fearmonger Alert: Freeze Injury Potential for Early-Planted Corn
Corn planting has been proceeding at a record pace in Indiana thus far in the 2004 growing season. Reasonably warm soil temperatures throughout April have also encouraged faster emergence than usually occurs with such early-planted corn. Such early planting and emergence of corn is always at higher calendar risk of injury by frost events or lethal cold temperatures. Of these two risk factors, lethal cold temperature is the more worrisome one since a corn plant�s growing point region is relatively protected from the effects of simple frost while it remains below the soil surface. Lethal cold temperatures (28F or less) can penetrate the upper inch or two of soil, especially dry surface soils, and kill plant tissue directly, including coleoptiles and growing points. Non-lethal injury by cold temperatures may cause deformed elongation of the mesocotyl or physical damage to the coleoptile in nonemerged seedlings, resulting in the proverbial �cork-screw � symptom and subsequent leafing out underground. Air temperatures in northern areas of Indiana dipped to the low 30�s early in the morning of 3 May, with lower-lying areas likely less than 30F. Given the risk of frost or chilling
R. L. (bob Nielsen
Biomass Cofiring in Coal-Fired Boilers - Federal Technology Alert
when needed. Unlike other renewable energy technologies like those based on solar and wind resources, biomass-based systems are available whenever they are needed. This helps...
Energy Market Alerts - U.S. Energy Information ...
Financial market analysis and financial data for major energy companies. Environment. Greenhouse gas data, ... Country energy information, detailed ...
Microsoft Word - Forward Analysis and Alerting _2_.docx
and will address the Wide-Area Dynamic-Data Instantiation challenge: given a search query specification (i.e., an event or data of interest) and a set of data-descriptors, how...
The Juneau Terrain-Induced Turbulence Alert System
The Juneau, Alaska, airport vicinity experiences frequent episodes of moderate and severe turbulence, which affect arriving and departing air traffic. The Federal Aviation Administration funded the National Center for Atmospheric Research to ...
Marcia K. Politovich; R. Kent Goodrich; Corrinne S. Morse; Alan Yates; Robert Barron; Steven A. Cohn
`Save Our Squirrels' (SOS) A Red Alert North England Project
red squirrel range in northern England. · Construction of new viewing facilities at Sefton, Whinlatter, involved and supportive. · It is essential to start by preparing a clear strategy that all the key
MANAGEMENT ALERT: DOE/IG-0891 | Department of Energy
Prohibited Personnel Practices at the Bonneville Power Administration In June 2012, the Office of Inspector General received an anonymous complaint alleging prohibited personnel...
Model and Analytic Processes for Export License Assessments
This paper represents the Department of Energy Office of Nonproliferation Research and Development (NA-22) Simulations, Algorithms and Modeling (SAM) Program's first effort to identify and frame analytical methods and tools to aid export control professionals in effectively predicting proliferation intent; a complex, multi-step and multi-agency process. The report focuses on analytical modeling methodologies that alone, or combined, may improve the proliferation export control license approval process. It is a follow-up to an earlier paper describing information sources and environments related to international nuclear technology transfer. This report describes the decision criteria used to evaluate modeling techniques and tools to determine which approaches will be investigated during the final 2 years of the project. The report also details the motivation for why new modeling techniques and tools are needed. The analytical modeling methodologies will enable analysts to evaluate the information environment for relevance to detecting proliferation intent, with specific focus on assessing risks associated with transferring dual-use technologies. Dual-use technologies can be used in both weapons and commercial enterprises. A decision-framework was developed to evaluate which of the different analytical modeling methodologies would be most appropriate conditional on the uniqueness of the approach, data availability, laboratory capabilities, relevance to NA-22 and Office of Arms Control and Nonproliferation (NA-24) research needs and the impact if successful. Modeling methodologies were divided into whether they could help micro-level assessments (e.g., help improve individual license assessments) or macro-level assessment. Macro-level assessment focuses on suppliers, technology, consumers, economies, and proliferation context. Macro-level assessment technologies scored higher in the area of uniqueness because less work has been done at the macro level. An approach to developing testable hypotheses for the macro-level assessment methodologies is provided. The outcome of this works suggests that we should develop a Bayes Net for micro-level analysis and continue to focus on Bayes Net, System Dynamics and Economic Input/Output models for assessing macro-level problems. Simultaneously, we need to develop metrics for assessing intent in export control, including the risks and consequences associated with all aspects of export control.
Thompson, Sandra E.; Whitney, Paul D.; Weimar, Mark R.; Wood, Thomas W.; Daly, Don S.; Brothers, Alan J.; Sanfilippo, Antonio P.; Cook, Diane; Holder, Larry
Orphan drugs : future viability of current forecasting models, in light of impending changes to influential market factors
Interviews were conducted to establish a baseline for how orphan drug forecasting is currently undertaken by financial market and industry analysts with the intention of understanding the variables typically accounted for ...
Gottlieb, Joshua
What can be learned from classical inventory models: a cross-industry empirical investigation
Abstract: Classical inventory models offer a variety of insights into the optimal way to manage inventories of individual products. However, top managers and industry analysts are often concerned with the aggregate macroscopic view of a firm�s inventory rather than with the inventories of individual products. Given that classical inventory models often do not account for many practical considerations that a company�s management faces (e.g., competition, industry dynamics, business cycles, the financial state of the company and of the economy, etc.) and that they are derived at the product and not at the firm level, can insights from these models be used to explain the inventory dynamics of entire companies? This exploratory study aims to address this issue using empirical data. We analyze absolute and relative inventories using a quarterly data panel that contains 722 public US companies for the period 1992 to 2002. We have chosen companies that are not widely diversified and whose business in large part relies on inventory management in order to concentrate on empirically testing hypotheses derived from a variety of classical inventory models (EOQ, (Q,r), newsvendor, periodic review, etc.). We find empirical evidence that firms operating with more uncertain demand, longer lead times and higher gross margins have higher inventory levels. Furthermore, larger companies appear to benefit from economies of scale and therefore have relatively less inventory than smaller companies. We obtain mixed evidence on the relationship between inventory levels and inventory holding costs. We also analyze the breakdown of data into eight segments�oil and gas, electronics, wholesale, retail, machinery, hardware, food and chemicals�and find that, with a few notable exceptions, our hypotheses are supported within the segments as well. Overall, our results demonstrate that many of the predictions from classical inventory models extend beyond individual products to the more aggregate firm level; hence, these models can help with high-level strategic choices in addition to tactical decisions.
Serguei Roumiantsev; Serguei Netessine
Model Validation
...thus establishing appropriate and important benchmarks. Benchmarking can go beyond validation and also measure relative computational speed, accuracy, and breadth for available modeling approaches and implementations, providing valuable information for users to discern the best models and for modelers...
Optimization of a petroleum producing assets portfolio: development of an advanced computer model
Portfolios of contemporary integrated petroleum companies consist of a few dozen Exploration and Production (E&P) projects that are usually spread all over the world. Therefore, it is important not only to manage individual projects by themselves, but to also take into account different interactions between projects in order to manage whole portfolios. This study is the step-by-step representation of the method of optimizing portfolios of risky petroleum E&P projects, an illustrated method based on Markowitz�s Portfolio Theory. This method uses the covariance matrix between projects� expected return in order to optimize their portfolio. The developed computer model consists of four major modules. The first module generates petroleum price forecasts. In our implementation we used the price forecasting method based on Sequential Gaussian Simulation. The second module, Monte Carlo, simulates distribution of reserves and a set of expected production profiles. The third module calculates expected after tax net cash flows and estimates performance indicators for each realization, thus yielding distribution of return for each project. The fourth module estimates covariance between return distributions of individual projects and compiles them into portfolios. Using results of the fourth module, analysts can make their portfolio selection decisions. Thus, an advanced computer model for optimization of the portfolio of petroleum assets has been developed. The model is implemented in a MATLAB� computational environment and allows optimization of the portfolio using three different return measures (NPV, GRR, PI). The model has been successfully applied to the set of synthesized projects yielding reasonable solutions in all three return planes. Analysis of obtained solutions has shown that the given computer model is robust and flexible in terms of input data and output results. Its modular architecture allows further inclusion of complementary �blocks� that may solve optimization problems utilizing different measures (than considered) of risk and return as well as different input data formats.
Aibassov, Gizatulla
Enduse Global Emissions Mitigation Scenarios (EGEMS): A New Generation of Energy Efficiency Policy Planning Models
This paper presents efforts to date and prospective goals towards development of a modelling and analysis framework which is comprehensive enough to address the global climate crisis, and detailed enough to provide policymakers with concrete targets and achievable outcomes. In terms of energy efficiency policy, this requires coverage of the entire world, with emphasis on countries and regions with large and/or rapidly growing energy-related emissions, and analysis at the 'technology' level-building end use, transport mode or industrial process. These elements have not been fully addressed by existing modelling efforts, which usually take either a top-down approach, or concentrate on a few fully industrialized countries where energy demand is well-understood. Inclusion of details such as appliance ownership rates, use patterns and efficiency levels throughout the world allows for a deeper understanding of the demand for energy today and, more importantly, over the coming decades. This is a necessary next step for energy analysts and policy makers in assessment of mitigation potentials. The modelling system developed at LBNL over the past 3 years takes advantage of experience in end use demand and in forecasting markets for energy-consuming equipment, in combination with known technology-based efficiency opportunities and policy types. A particular emphasis has been placed on modelling energy growth in developing countries. Experiences to date include analyses covering individual countries (China and India), end uses (refrigerators and air conditioners) and policy types (standards and labelling). Each of these studies required a particular effort in data collection and model refinement--they share, however, a consistent approach and framework which allows comparison, and forms the foundation of a comprehensive analysis system leading to a roadmap to address the greenhouse gas mitigation targetslikely to be set in the coming years.
McNeil, Michael A.; de la Rue du Can, Stephane; McMahon, James E.
Information Bridge: DOE Scientific and Technical Information...
Site Map Information Bridge: Home Basic Search Fielded Search Help Comments FAQ Alerts: Alerts Log On Alerts Registration Alerts Help Alerts Comments Alerts FAQ...
NREL: Energy Analysis - News Archive 2009
2001 December 2009 State Tax Incentives Documentation on Solar Model Western Renewable Energy Zones Financing Renewable Energy Projects Analysts Meet With Stakeholders November...
Modeling & Simulation
Modeling & Simulation Modeling & Simulation Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this...
Reliability of Current Biokinetic and Dosimetric Models for Radionuclides: A Pilot Study
This report describes the results of a pilot study of the reliability of the biokinetic and dosimetric models currently used by the U.S. Nuclear Regulatory Commission (NRC) as predictors of dose per unit internal or external exposure to radionuclides. The study examines the feasibility of critically evaluating the accuracy of these models for a comprehensive set of radionuclides of concern to the NRC. Each critical evaluation would include: identification of discrepancies between the models and current databases; characterization of uncertainties in model predictions of dose per unit intake or unit external exposure; characterization of variability in dose per unit intake or unit external exposure; and evaluation of prospects for development of more accurate models. Uncertainty refers here to the level of knowledge of a central value for a population, and variability refers to quantitative differences between different members of a population. This pilot study provides a critical assessment of models for selected radionuclides representing different levels of knowledge of dose per unit exposure. The main conclusions of this study are as follows: (1) To optimize the use of available NRC resources, the full study should focus on radionuclides most frequently encountered in the workplace or environment. A list of 50 radionuclides is proposed. (2) The reliability of a dose coefficient for inhalation or ingestion of a radionuclide (i.e., an estimate of dose per unit intake) may depend strongly on the specific application. Multiple characterizations of the uncertainty in a dose coefficient for inhalation or ingestion of a radionuclide may be needed for different forms of the radionuclide and different levels of information of that form available to the dose analyst. (3) A meaningful characterization of variability in dose per unit intake of a radionuclide requires detailed information on the biokinetics of the radionuclide and hence is not feasible for many infrequently studied radionuclides. (4) The biokinetics of a radionuclide in the human body typically represents the greatest source of uncertainty or variability in dose per unit intake. (5) Characterization of uncertainty in dose per unit exposure is generally a more straightforward problem for external exposure than for intake of a radionuclide. (6) For many radionuclides the most important outcome of a large-scale critical evaluation of databases and biokinetic models for radionuclides is expected to be the improvement of current models. Many of the current models do not fully or accurately reflect available radiobiological or physiological information, either because the models are outdated or because they were based on selective or uncritical use of data or inadequate model structures. In such cases the models should be replaced with physiologically realistic models that incorporate a wider spectrum of information.
Leggett, Richard Wayne [ORNL; Eckerman, Keith F [ORNL; Meck, Robert A. [U.S. Nuclear Regulatory Commission
The economics of US greenhouse gas emissions reduction policy : assessing distributional effects across households and the 50 United States using a recursive dynamic computable general equilibrium (CGE) model
The political economy of US climate policy has revolved around state- and district- level distributional economics, and to a lesser extent household-level distribution questions. Many politicians and analysts have suggested ...
Look, Wesley Allen
Context: Modeling
... Yang, JC; Huber, ML; Boyer, CI; 1995. Modeling of Hydrogen Fluoride Formation From Flame Suppressants During Combustion.. ...
Modeling Portal
... News And Events. 24th NIST Computer Modeling Workshop. New Quantum Computing Algorithm Could Simulate Giant Particle Accelerators. ...
An expandable software model for collaborative decision making during the whole building life cycle
Decisions throughout the life cycle of a building, from design through construction and commissioning to operation and demolition, require the involvement of multiple interested parties (e.g., architects, engineers, owners, occupants and facility managers). The performance of alternative designs and courses of action must be assessed with respect to multiple performance criteria, such as comfort, aesthetics, energy, cost and environmental impact. Several stand-alone computer tools are currently available that address specific performance issues during various stages of a building's life cycle. Some of these tools support collaboration by providing means for synchronous and asynchronous communications, performance simulations, and monitoring of a variety of performance parameters involved in decisions about a building during building operation. However, these tools are not linked in any way, so significant work is required to maintain and distribute information to all parties. In this paper we describe a software model that provides the data management and process control required for collaborative decision making throughout a building's life cycle. The requirements for the model are delineated addressing data and process needs for decision making at different stages of a building's life cycle. The software model meets these requirements and allows addition of any number of processes and support databases over time. What makes the model infinitely expandable is that it is a very generic conceptualization (or abstraction) of processes as relations among data. The software model supports multiple concurrent users, and facilitates discussion and debate leading to decision making. The software allows users to define rules and functions for automating tasks and alerting all participants to issues that need attention. It supports management of simulated as well as real data and continuously generates information useful for improving performance prediction and understanding of the effects of proposed technologies and strategies.
Papamichael, K.; Pal, V.; Bourassa, N.; Loffeld, J.; Capeluto, G.
PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding; 2) carbon dioxide miscible flooding; 3) in-situ combustion; 4) polymer flooding; and 5) steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.
Ray, R.M. (DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States))
Numerical Modeling
Feb 28, 2011... or field repair, durability, weight and cost efficiency, and extreme climate. ... Cohesive zone model is implemented to investigate the interfacial�...
Biosystems Modeling
Biosystems Modeling Biosystems Modeling Phantoms We are a leader nationally and internationally in the development of models and methods for predicting the behavior of radionuclides and chemicals in the body, assessing the health effects of environmental hazards, and determining the exposure-dose relationships for environmental pollutants. Our work has been a key resource to the medical community in providing the basis for dose estimates in nuclear medicine. Our tools and skills are also applicable to the areas of occupational health and safety, public health and safety, radiation protection, environmental dosimetry, and battlefield effects. Our technology base includes mathematical modeling, bone dosimetry, phantom development, and neutron dosimetry. Please direct any questions concerning the Biosystems Modeling Group to:
ISDAC Modeling
Modeling Modeling Modeling of aerosol effects on Arctic stratiform clouds: Preliminary results from the ISDAC case study (poster 13J) Mikhail Ovchinnikov, Steve Ghan, Jiwen Fan, Xiaohong Liu (PNNL), Alexei Korolev, Peter Liu (Env. Canada) Shaocheng Xie (LLNL), Hugh Morrison (NCAR), ISDAC PI's, and members of the CMWG 2 Indirect Semi-Direct Aerosol Campaign Science questions: How do properties of the arctic aerosol during April differ from those measured during the MPACE in October? To what extent do the different properties of the arctic aerosol during April produce differences in the microphysical and macrophysical properties of clouds and the surface energy balance? To what extent can cloud models and the cloud parameterizations used in climate models simulate the sensitivity of arctic clouds and
OSPREY Model
The absence of industrial scale nuclear fuel reprocessing in the U.S. has precluded the necessary driver for developing the advanced simulation capability now prevalent in so many other countries. Thus, it is essential to model complex series of unit operations to simulate, understand, and predict inherent transient behavior and feedback loops. A capability of accurately simulating the dynamic behavior of advanced fuel cycle separation processes will provide substantial cost savings and many technical benefits. The specific fuel cycle separation process discussed in this report is the off-gas treatment system. The off-gas separation consists of a series of scrubbers and adsorption beds to capture constituents of interest. Dynamic models are being developed to simulate each unit operation involved so each unit operation can be used as a stand-alone model and in series with multiple others. Currently, an adsorption model has been developed within Multi-physics Object Oriented Simulation Environment (MOOSE) developed at the Idaho National Laboratory (INL). Off-gas Separation and REcoverY (OSPREY) models the adsorption of off-gas constituents for dispersed plug flow in a packed bed under non-isothermal and non-isobaric conditions. Inputs to the model include gas, sorbent, and column properties, equilibrium and kinetic data, and inlet conditions. The simulation outputs component concentrations along the column length as a function of time from which breakthrough data is obtained. The breakthrough data can be used to determine bed capacity, which in turn can be used to size columns. It also outputs temperature along the column length as a function of time and pressure drop along the column length. Experimental data and parameters were input into the adsorption model to develop models specific for krypton adsorption. The same can be done for iodine, xenon, and tritium. The model will be validated with experimental breakthrough curves. Customers will be given access to OSPREY to used and evaluate the model.
Veronica J. Rutledge
Safety Bulletin 2005-15 (Update)
issued to alert readers to recent explosions involving Solar Truck Pac model ES1224 battery boosters manufactured by Clore Automotive. Specifically, the Office of River...
A SCOPING STUDY: Development of Probabilistic Risk Assessment Models for Reactivity Insertion Accidents During Shutdown In U.S. Commercial Light Water Reactors
This report documents the scoping study of developing generic simplified fuel damage risk models for quantitative analysis from inadvertent reactivity insertion events during shutdown (SD) in light water pressurized and boiling water reactors. In the past, nuclear fuel reactivity accidents have been analyzed both mainly deterministically and probabilistically for at-power and SD operations of nuclear power plants (NPPs). Since then, many NPPs had power up-rates and longer refueling intervals, which resulted in fuel configurations that may potentially respond differently (in an undesirable way) to reactivity accidents. Also, as shown in a recent event, several inadvertent operator actions caused potential nuclear fuel reactivity insertion accident during SD operations. The set inadvertent operator actions are likely to be plant- and operation-state specific and could lead to accident sequences. This study is an outcome of the concern which arose after the inadvertent withdrawal of control rods at Dresden Unit 3 in 2008 due to operator actions in the plant inadvertently three control rods were withdrawn from the reactor without knowledge of the main control room operator. The purpose of this Standardized Plant Analysis Risk (SPAR) Model development project is to develop simplified SPAR Models that can be used by staff analysts to perform risk analyses of operating events and/or conditions occurring during SD operation. These types of accident scenarios are dominated by the operator actions, (e.g., misalignment of valves, failure to follow procedures and errors of commissions). Human error probabilities specific to this model were assessed using the methodology developed for SPAR model human error evaluations. The event trees, fault trees, basic event data and data sources for the model are provided in the report. The end state is defined as the reactor becomes critical. The scoping study includes a brief literature search/review of historical events, developments of a small set of comprehensive event trees and fault trees and recommendation for future work.
S. Khericha
Target Strength of Southern Resident Killer Whales (Orcinus orca): Measurement and Modeling
A major criterion for tidal power licensing in Washington�s Puget Sound is the management of the risk of injury to killer whales due to collision with moving turbine blades. An active monitoring system is being proposed for killer whale detection, tracking, and alerting that links to and triggers temporary turbine shutdown when there is risk of collision. Target strength (TS) modeling of the killer whale is critical to the design and application of any active monitoring system. A 1996 study performed a high-resolution measurement of acoustic reflectivity as a function of frequency of a female bottlenose dolphin (2.2 m length) at broadside aspect and TS as a function of incident angle at 67 kHz frequency. Assuming that killer whales share similar morphology structure with the bottlenose dolphin, we extrapolated the TS of an adult killer whale 7.5 m in length at 67 kHz frequency with -8 dB at broadside aspect and -28 dB at tail side. The backscattering data from three Southern Resident killer whales were analyzed to obtain the TS measurement. These data were collected at Lime Kiln State Park using a split-beam system deployed from a boat. The TS of the killer whale at higher frequency (200 kHz) was estimated based on a three-layer model for plane wave reflection from the lung of the whale. The TS data of killer whales were in good agreement with our model. In this paper, we also discuss and explain possible causes for measurement estimation error.
Xu, Jinshan; Deng, Zhiqun; Carlson, Thomas J.; Moore, Brian
PGMA Model
PGMA Model PGMA Model PM-G1-F1-012802.doc Revised January 28, 2002 Page 1 The PGMA (Policy, Guidance, Metrics, Assessments) was originally conceived as a model to provide the framework for developing the components for DOE Information Technology (IT) related policies. Its specific purpose is to drive the development of the four components and ensure a corresponding element within each component. The model components are: POLICY C A concise statement supporting the Department=s needs for quality business solutions. C Link to existing IT policy statements without redundancy. GUIDANCE C Documentation, templates, references, checklists, training, (using Web and other means) to provide implementation mechanisms and techniques for policy adherence.
Modelling approaches
Understanding and mitigating risks and threats to critical infrastructures relies heavily on the ability to construct and validate models often involving physical systems or even human intervention. This, together with the wide range of scales from critical ...
Nils Kalstad Svendsen; Stephen D. Wolthusen
Modelling I
Mar 15, 2012 ... Current Distribution and Lorentz Field Modelling Using Cathode Designs: A ... The electrical conductivity of the cathode-block and the collector bar is so ... load, creating a very uneven current distribution within the cathode.
Batteries - Modeling
Battery Modeling Over the last few decades, a broad range of battery technologies have been examined at Argonne for transportation applications. Today the focus is on lithium-ion...
PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1) chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2) carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3) in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4) polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5) steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.
Ray, R.M. (DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States))
A knowledge based model of electric utility operations. Final report
This report consists of an appendix to provide a documentation and help capability for an analyst using the developed expert system of electric utility operations running in CLIPS. This capability is provided through a separate package running under the WINDOWS Operating System and keyed to provide displays of text, graphics and mixed text and graphics that explain and elaborate on the specific decisions being made within the knowledge based expert system.
Policy and Research Analyst Intern If you are looking to expand your knowledge of local, state, and federal energy
knowledge of local, state, and federal energy policy, improve your research, renewable energy technology, policy recommendations, and more. The Research Intern for change in local energy policy #12;· Track changes to energy policy with Investor
Colorado at Boulder, University of
Model replication: transformations to address model scalability
In model-driven engineering, it is often desirable to evaluate different design alternatives as they relate to scalability issues of the modeled system. A typical approach to address scalability is model replication, which starts by creating base models ... Keywords: domain-specific modeling, model transformation, model-driven engineering, scalability
Yuehua Lin; Jeff Gray; Jing Zhang; Steve Nordstrom; Aniruddha Gokhale; Sandeep Neema; Swapna Gokhale
Categorization supports decision making, letting an analyst look at data from different perspectives and different levels of detail. An approach to data analysis is described in which membership in subjectively defined categories is modeled by the fuzzy nature of color categories and presented via computer graphics for visual inspection by the analyst.
Benson, William H.
Criticality Model
The ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003) presents the methodology for evaluating potential criticality situations in the monitored geologic repository. As stated in the referenced Topical Report, the detailed methodology for performing the disposal criticality analyses will be documented in model reports. Many of the models developed in support of the Topical Report differ from the definition of models as given in the Office of Civilian Radioactive Waste Management procedure AP-SIII.10Q, ''Models'', in that they are procedural, rather than mathematical. These model reports document the detailed methodology necessary to implement the approach presented in the Disposal Criticality Analysis Methodology Topical Report and provide calculations utilizing the methodology. Thus, the governing procedure for this type of report is AP-3.12Q, ''Design Calculations and Analyses''. The ''Criticality Model'' is of this latter type, providing a process evaluating the criticality potential of in-package and external configurations. The purpose of this analysis is to layout the process for calculating the criticality potential for various in-package and external configurations and to calculate lower-bound tolerance limit (LBTL) values and determine range of applicability (ROA) parameters. The LBTL calculations and the ROA determinations are performed using selected benchmark experiments that are applicable to various waste forms and various in-package and external configurations. The waste forms considered in this calculation are pressurized water reactor (PWR), boiling water reactor (BWR), Fast Flux Test Facility (FFTF), Training Research Isotope General Atomic (TRIGA), Enrico Fermi, Shippingport pressurized water reactor, Shippingport light water breeder reactor (LWBR), N-Reactor, Melt and Dilute, and Fort Saint Vrain Reactor spent nuclear fuel (SNF). The scope of this analysis is to document the criticality computational method. The criticality computational method will be used for evaluating the criticality potential of configurations of fissionable materials (in-package and external to the waste package) within the repository at Yucca Mountain, Nevada for all waste packages/waste forms. The criticality computational method is also applicable to preclosure configurations. The criticality computational method is a component of the methodology presented in ''Disposal Criticality Analysis Methodology Topical Report'' (YMP 2003). How the criticality computational method fits in the overall disposal criticality analysis methodology is illustrated in Figure 1 (YMP 2003, Figure 3). This calculation will not provide direct input to the total system performance assessment for license application. It is to be used as necessary to determine the criticality potential of configuration classes as determined by the configuration probability analysis of the configuration generator model (BSC 2003a).
A. Alsaed
Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)
NE-KAMS knowledge base will assist computational analysts, physics model developers, experimentalists, nuclear reactor designers, and federal regulators by: (1) Establishing accepted standards, requirements and best practices for V&V and UQ of computational models and simulations, (2) Establishing accepted standards and procedures for qualifying and classifying experimental and numerical benchmark data, (3) Providing readily accessible databases for nuclear energy related experimental and numerical benchmark data that can be used in V&V assessments and computational methods development, (4) Providing a searchable knowledge base of information, documents and data on V&V and UQ, and (5) Providing web-enabled applications, tools and utilities for V&V and UQ activities, data assessment and processing, and information and data searches. From its inception, NE-KAMS will directly support nuclear energy research, development and demonstration programs within the U.S. Department of Energy (DOE), including the Consortium for Advanced Simulation of Light Water Reactors (CASL), the Nuclear Energy Advanced Modeling and Simulation (NEAMS), the Light Water Reactor Sustainability (LWRS), the Small Modular Reactors (SMR), and the Next Generation Nuclear Power Plant (NGNP) programs. These programs all involve computational modeling and simulation (M&S) of nuclear reactor systems, components and processes, and it is envisioned that NE-KAMS will help to coordinate and facilitate collaboration and sharing of resources and expertise for V&V and UQ across these programs. In addition, from the outset, NE-KAMS will support the use of computational M&S in the nuclear industry by developing guidelines and recommended practices aimed at quantifying the uncertainty and assessing the applicability of existing analysis models and methods. The NE-KAMS effort will initially focus on supporting the use of computational fluid dynamics (CFD) and thermal hydraulics (T/H) analysis for M&S of nuclear reactor systems, components and processes, and will later expand to include materials, fuel system performance and other areas of M&S as time and funding allow.
Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee
Century Model Product Available
Century Model Available The ORNL DAAC announces the availability of a new model product. The model product "CENTURY: Modeling Ecosystem Responses to Climate Change, Version 4...
Nuclear Models
The atomic nucleus is a typical example of a many-body problem. On the one hand, the number of nucleons (protons and neutrons) that constitute the nucleus is too large to allow for exact calculations. On the other hand, the number of constituent particles is too small for the individual nuclear excitation states to be explained by statistical methods. Another problem, particular for the atomic nucleus, is that the nucleon-nucleon (n-n) interaction is not one of the fundamental forces of Nature, and is hard to put in a single closed equation. The nucleon-nucleon interaction also behaves differently between two free nucleons (bare interaction) and between two nucleons in the nuclear medium (dressed interaction).Because of the above reasons, specific nuclear many-body models have been devised of which each one sheds light on some selected aspects of nuclear structure. Only combining the viewpoints of different models, a global insight of the atomic nucleus can be gained. In this chapter, we revise the the Nuclear Shell Model as an example of the microscopic approach, and the Collective Model as an example of the geometric approach. Finally, we study the statistical properties of nuclear spectra, basing on symmetry principles, to find out whether there is quantum chaos in the atomic nucleus. All three major approaches have been rewarded with the Nobel Prize of Physics. In the text, we will stress how each approach introduces its own series of approximations to reduce the prohibitingly large number of degrees of freedom of the full many-body problem to a smaller manageable number of effective degrees of freedom.
Fossion, Ruben [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico D. F., C.P. 04510 (Mexico)
Modelling osteomyelitis
-related Figure 2 Box plot representation of the gene expression of 82 genes corresponding to a) 48 osteomyelitis infected patients and b) 27 healthy controls). Li� et al. BMC Bioinformatics 2012, 13(Suppl 14):S12 http... (2):206-215. 11. Li� P, Merelli E, Paoletti N: Multiple verification in computational modeling of bone pathologies. CompMod 2011, 82-96. Li� et al. BMC Bioinformatics 2012, 13(Suppl 14):S12 http://www.biomedcentral.com/bmcbioinformatics/supplements/13/S14/S12 Page...
Li�, Pietro; Paoletti, Nicola; Moni, Mohammad A; Atwell, Kathryn; Merelli, Emanuela; Viceconti, Marco
... Model 3564 STEELSHED, inc Model A-G22 HD Model 65-1 DIY Model AB344 ... 23 Bill identifies DIY Model AB344 as his choice and procures the ...
Generative model transformer
The Generative Model Transformer (GMT) project is an Open Source initiative to build a Model Driven Architecure� tool that allows fully customisable Platform Independent Models, Platform Description Models, Texture Mappings, and Refinement Transformations. ... Keywords: QVT, domain-specific languages, generative model transformer (GMT), model driven architecture (MDA), model transformation, open source
Jorn Bettin; Ghica van Emde Boas
Hydrogen Delivery Analysis Models
model for delivery system component costs and performance: Components Model Delivery scenario model for Urban and Rural Interstate markets and demand levels (Mkt....
Model interoperability in building information modelling
The exchange of design models in the design and construction industry is evolving away from 2-dimensional computer-aided design (CAD) and paper towards semantically-rich 3-dimensional digital models. This approach, known as Building Information Modelling ... Keywords: Building Information Modelling, Interoperability
Jim Steel; Robin Drogemuller; Bianca Toth
I&C Modeling in SPAR Models
The Standardized Plant Analysis Risk (SPAR) models for the U.S. commercial nuclear power plants currently have very limited instrumentation and control (I&C) modeling [1]. Most of the I&C components in the operating plant SPAR models are related to the reactor protection system. This was identified as a finding during the industry peer review of SPAR models. While the Emergency Safeguard Features (ESF) actuation and control system was incorporated into the Peach Bottom Unit 2 SPAR model in a recent effort [2], various approaches to expend resources for detailed I&C modeling in other SPAR models are investigated.
John A. Schroeder
cell probe model
NIST. cell probe model. (definition). Definition: A model of computation where the cost of a computation is measured by the ...
Use Our Model
... Use Our ModelContact Us. *. Bookmark and Share. Use Our Model. to Translate Research into the Classroom. The paper ...
2002 EIA Models Directory
The Personal Computer International Nuclear Model (PCINM) is a deterministic model used by the Energy Information Administration (EIA) to project ...
Transformer Modeling in the Common Information Model
The Common Information Model (CIM) International Electrotechnical Commission (IEC) 61970 model contains transformers. However, the modeling was based on the needs and requirements defined primarily by the transmission users. Because the CIM has been expanded into distribution and the distribution control center, there is a need to review the transformer model and ensure that the needs and requirements of both transmission and distribution are defined and included. This report proposes method to model tra...
CALPHAD Modeling of Homogeneity Ranges
... Systems Page 3. Model Descriptions � Stoichiometric model ? solids with fixed concentration � Regular solution type model ? liquids ...
Econometric structural models : a model selection approach.
??Using a model selection approach, this thesis proposes a constructive data-and-theory-combined procedure to identify model structures in the framework of a linear simultaneous equations system� (more)
Chen, Pu
The Common Land Model
The Common Land Model (CLM) was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development. The major model characteristics include ...
Yongjiu Dai; Xubin Zeng; Robert E. Dickinson; Ian Baker; Gordon B. Bonan; Michael G. Bosilovich; A. Scott Denning; Paul A. Dirmeyer; Paul R. Houser; Guoyue Niu; Keith W. Oleson; C. Adam Schlosser; Zong-Liang Yang
Modeling of geothermal systems
During the last decade the use of numerical modeling for geothermal resource evaluation has grown significantly, and new modeling approaches have been developed. In this paper we present a summary of the present status in numerical modeling of geothermal systems, emphasizing recent developments. Different modeling approaches are described and their applicability discussed. The various modeling tasks, including natural-state, exploitation, injection, multi-component and subsidence modeling, are illustrated with geothermal field examples. 99 refs., 14 figs.
Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.
Molegro Data Modeller
Dec 18, 2007 ... Molegro Data Modeller is a cross-platform application for Data Mining, Data Modelling, and Data Visualization. Features at a glance:
DRI Model of the U.S. Economy. Ron Earley (202) 586-1398. World Oil Refining, Logistics, and Demand Model. Dan Butler (202) 586-9503 ...
Modelling II and Measurement
Mar 15, 2012 ... Modeling Cathode Cooling Due to Power Interruption: Marc Dupuis1; Alton ... Modeling the Mass and Energy Balance of Different Aluminium�...
Reformulated Gasoline Complex Model
Refiners Switch to Reformulated Refiners Switch to Reformulated Gasoline Complex Model Contents * Summary * Introduction o Table 1. Comparison of Simple Model and Complex Model RFG Per Gallon Requirements * Statutory, Individual Refinery, and Compliance Baselines o Table 2. Statutory Baseline Fuel Compositions * Simple Model * Complex Model o Table 3. Complex Model Variables * Endnotes Related EIA Short-Term Forecast Analysis Products * RFG Simple and Complex Model Spreadsheets * Areas Particpating in the Reformulated Gasoline Program * Environmental Regulations and Changes in Petroleum Refining Operations * Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model * Reformulated Gasoline Foreign Refinery Rules * Demand, Supply, and Price Outlook for Reformulated Motor Gasoline, 1995 , (Adobe
NREL: Energy Analysis - Paul Denholm
Paul Denholm Photo of Paul Denholm Paul Denholm is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Senior Analyst On staff since...
Vorticity Equation Terms for Extratropical Cyclones
All terms of the frictionless, nonlinear, vorticity equation are examined. Traditional scale analysis provides one of several justifications for using the quasigeostrophic (QG) system of equations to model extratropical cyclones. Analysts of ...
Richard Grotjahn
Is There an Energy Efficiency Gap?
Many analysts have argued that energy efficiency investments offer an enormous �win-win� opportunity to both reduce negative externalities and save money. This overview paper presents a simple model of investment in ...
Alcott, Hunt
Is There An Energy Efficiency Gap?
Allcott, Hunt
Component Briefing August 1, 2014
... Analysis 4. Incident Responder In-Depth 5. Threat Analyst / Counterintelligence Analyst 6. Risk Assessment Engineers ...
Addressing the Need for Independence in the CSE Model
Abstract Information system security risk, defined as the product of the monetary losses associated with security incidents and the probability that they occur, is a suitable decision criterion when considering different information system architectures. Risk assessment is the widely accepted process used to understand, quantify, and document the effects of undesirable events on organizational objectives so that risk management, continuity of operations planning, and contingency planning can be performed. One technique, the Cyberspace Security Econometrics System (CSES), is a methodology for estimating security costs to stakeholders as a function of possible risk postures. In earlier works, we presented a computational infrastructure that allows an analyst to estimate the security of a system in terms of the loss that each stakeholder stands to sustain, as a result of security breakdowns. Additional work has applied CSES to specific business cases. The current state-of-the-art of CSES addresses independent events. In typical usage, analysts create matrices that capture their expert opinion, and then use those matrices to quantify costs to stakeholders. This expansion generalizes CSES to the common real-world case where events may be dependent.
Abercrombie, Robert K [ORNL; Ferragut, Erik M [ORNL; Sheldon, Frederick T [ORNL; Grimaila, Michael R [ORNL
The purpose of this Analysis and Model Report (AMR) is to document Rock Properties Model (RPM) 3.1 with regard to input data, model methods, assumptions, uncertainties and limitations of model results, and qualification status of the model. The report also documents the differences between the current and previous versions and validation of the model. The rock properties models are intended principally for use as input to numerical physical-process modeling, such as of ground-water flow and/or radionuclide transport. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. This work was conducted in accordance with the following planning documents: WA-0344, ''3-D Rock Properties Modeling for FY 1998'' (SNL 1997, WA-0358), ''3-D Rock Properties Modeling for FY 1999'' (SNL 1999), and the technical development plan, Rock Properties Model Version 3.1, (CRWMS M&O 1999c). The Interim Change Notice (ICNs), ICN 02 and ICN 03, of this AMR were prepared as part of activities being conducted under the Technical Work Plan, TWP-NBS-GS-000003, ''Technical Work Plan for the Integrated Site Model, Process Model Report, Revision 01'' (CRWMS M&O 2000b). The purpose of ICN 03 is to record changes in data input status due to data qualification and verification activities. These work plans describe the scope, objectives, tasks, methodology, and implementing procedures for model construction. The constraints, caveats, and limitations associated with this model are discussed in the appropriate text sections that follow. The work scope for this activity consists of the following: (1) Conversion of the input data (laboratory measured porosity data, x-ray diffraction mineralogy, petrophysical calculations of bound water, and petrophysical calculations of porosity) for each borehole into stratigraphic coordinates; (2) Re-sampling and merging of data sets; (3) Development of geostatistical simulations of porosity; (4) Generation of derivative property models via linear coregionalization with porosity; (5) Post-processing of the simulated models to impart desired secondary geologic attributes and to create summary and uncertainty models; and (6) Conversion of the models into real-world coordinates. The conversion to real world coordinates is performed as part of the integration of the RPM into the Integrated Site Model (ISM) 3.1; this activity is not part of the current analysis. The ISM provides a consistent volumetric portrayal of the rock layers, rock properties, and mineralogy of the Yucca Mountain site and consists of three components: (1) Geologic Framework Model (GFM); (2) RPM, which is the subject of this AMR; and (3) Mineralogic Model. The interrelationship of the three components of the ISM and their interface with downstream uses are illustrated in Figure 1. Figure 2 shows the geographic boundaries of the RPM and other component models of the ISM.
Clinton Lum
Simplifying environmental model reuse
The environmental modelling community has developed many models with varying levels of complexity and functionality. Many of these have overlapping problem domains, have very similar 'science' and yet are not compatible with each other. The modelling ... Keywords: APSIM, Component, Framework independent, Interoperability, Model, Simulation
Dean P. Holzworth; Neil I. Huth; Peter G. de Voil
Surveying navigation modelling approaches
Recently, a number of authors who work on web application modelling have paid attention to the ideas regarding separation of concerns that underlie aspect-orientation, as well as some ideas that come from the model-driven development community. ... Keywords: internet, navigation modelling, separation of concerns, web application modelling, web engineering, web navigation
Antonia M. Reina-Quintero
Model Theory and Quantum
Model Theory and Quantum Groups Sonia L'Innocente Model Theory and Quantum Groups Sonia L'Innocente (University of Mons) Model Theory and Quantum Groups 1 / 40 #12;Model Theory and Quantum Groups Sonia L quantum plane, submitted. This work is inspired by Ivo Herzog's paper: The pseudo-finite dimensional
Mons-Hainaut, Université de
OSHWPP model programs guide
Descriptions of model occupational health and safety programs implemented at DOE facilities are presented.
Control physical models
This paper describes design of model physical model of rectification column. Physical model is appointed as a demonstration system control for distillation by means of control system SIMATIC PCS7 from company SIEMENS. The SIMATIC PCS7 Process control ... Keywords: description, distillation, physical model, process control system
Tom� Dvo?�k; Jan B�lek
PREDICTIVE MODELS. Enhanced Oil Recovery Model
PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding; 2 carbon dioxide miscible flooding; 3 in-situ combustion; 4 polymer flooding; and 5 steamflood. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes. The IBM PC/AT version includes a plotting capability to produces a graphic picture of the predictive model results.
Ray, R.M. [DOE Bartlesville Energy Technology Center, Bartlesville, OK (United States)
Web MSNBC Search Alerts Newsletters RSS Help MSN Home Hotmail Sign In Conflict in Iraq
to host test reactor in search for alternative to fossil fuel French nuclear research facilities near Tuesday. The International Thermonuclear Experimental Reactor, or ITER, is intended to show that nuclear, and the creation of thousands of jobs. Fusion, not fission Unlike fission reactors used in existing nuclear power
Alerting Humanitarians to Emergencies PARIS, Jan 12 (Reuters) -Europe could build a disputed experimental nuclear
experimental nuclear fusion reactor on its own if the multinational joint venture promoting it decided to give, as opposed to today's nuclear reactors and weapons, which produce energy by splitting atoms apart. Fifty International Thermonuclear Experimental Reactor (ITER), will not give up its bid to host the programme, Prime
Alerting Humanitarians to Emergencies TOKYO, March 9 (Reuters) -Japan warned the European Union on Wednesday
on Wednesday against starting to build the world's first nuclear fusion reactor, saying such a unilateral move would backfire. The two sides are competing over a multi-billion-dollar project to host the reactor. "It said the EU wanted to start building the reactor by the end of 2005 with or without an international
Alerting Humanitarians to Emergencies MOSCOW, Jan 15 (Reuters) -Russia on Thursday declined Japanese pleas to
Japanese pleas to back Tokyo's bid to host a disputed nuclear fusion reactor as the global contest particles together as opposed to existing nuclear reactors and weapons which produce energy by splitting for the right to build the world's first such reactor, but the six members of the joint venture have so far
Technology Alert List From the U.S. Department of State
and industry; these technologies are relatively common in many countries. Advanced biotechnology has "DOP-rated filters" (e.g., HEPA filters, ULPA filters) · Microencapsulation #12;· Aerosol sprayers) · Production of glass-lined steel reactors/vessels, pipes, flanges, and other equipment · Aerosol sprayers
Guenther, Frank
University of Arkansas Libraries ISI Current Contents Connect --Electronic Mail Alert Service
menu. The default search field is Topic. Enter one or more search terms in the search box. You may combine search terms by using and, or or same, if appropriate. You may also click on the icon next to the search book to select term(s) from an index to search. Click on Search to see the records that you have
Brye, Kristofor R.
secondary purpose was to alert people to the relative size of the different resources avail
and shifting output like flow batteries, hightemperature batteries, smartgrid options linked to distributed
NIOSH alert: Request for assistance in preventing lead poisoning in construction workers. Revised edition
Attention is drawn to the hazards of lead (7439921) exposure for workers involved in the maintenance, repainting, or demolition of bridges or other steel structures coated with lead containing paints. Operations such as abrasive blasting, sanding, burning, cutting, or welding on steel structures coated with lead containing paints may produce very high concentrations of lead fumes and dust. The recent introduction of containment structures may result in even higher airborne concentrations of lead. Through the exposure, lead can be carried by the workers back to their homes and automobiles. NIOSH and OSHA have recently recommended that exposure to lead dust and fumes be minimized by the use of engineering controls and work practices, and by the use of personal protective equipment such as respirators for additional protection. Monitoring of airborne lead concentrations and blood lead concentrations should be ongoing programs. Specifications for a mandatory program of worker protection from lead hazards should be made known to workers in the field.
NIOSH alert: Request for assistance in preventing lead poisoning in construction workers
The need for assistance in preventing the exposure of workers to lead (7439921) during the maintenance, repainting, or demolition of bridges or other steel structures coated with lead containing paints was discussed. Lead exposure may occur during abrasive blasting, sanding, cutting, burning, or welding of these structures. Specific cases were cited where lead poisoning was manifest in torch burners, burner helpers, power tool users, rivet removers, blasters, carpenters, steam fitters, and drillers. Preventive measures discussed included the use of air monitoring equipment to determine whether a hazard exists, and engineering controls including those which will protect workers during welding, cutting or burning. Surface preparation was reviewed along with proper work procedures for tasks inside containment structures and the specifications required to be in new contracts. Personal hygiene practices which can help reduce the exposure likelihood were discussed, along with the proper use of warning signs and personal protective equipment. Medical surveillance programs were reviewed, including medical monitoring, medical protection, mandatory reporting and training.
An automated system to detect flash floods and alert at-risk communities
This thesis describes an automated monitoring station designed to detect flash floods occurring in the Rio Aguan river basin, Honduras. An Atmel microcontroller polls a series of sensors in the river, logging all data for ...
Weaver, Joshua A., 1978-
Management Alert: OAS-RA-11-16 | Department of Energy
FOIA Reports Calendar Year Reports Recovery Act Peer Reviews DOE Directives Performance Strategic Plan Testimony Financial Statements Semiannual Reports Work Plan Mission About...
Management Alert: OAS-RA-12-01 | Department of Energy
Register for SFU Alerts SFU Vancouver 778.782.5252 778.782.5252
Evacuation plaques). WEATHER EMERGENCIES Essential Services, eg. Dining, Facilities, Campus Security a tooth brush, pen, paper, a First Aid kit, and essential medications. Include anything that will help you to assist evacuation. ·Unplug all electrical equipment. ·Ensure computer is turned off. ·Facilities
Alert Today, Alive Tomorrow: The North Carolina Civil Defense Agency and Fallout Shelters, 1961-1963.
??From 1961 to 1963, the administration of President John F. Kennedy attempted to create a vast network of public and private fallout shelters across the� (more)
Blazich, Frank Arthur Jr.
NHMRC Alert 1: Project Grants and Career Development Schemes Dear colleague,
are not valid' when attempting to log in to RGMS, the NHMRC recommends the following troubleshooting options
New South Wales, University of
E-Alerts: Combustion, engines, and propellants (reciprocation and rotating combustion engines). E-mail newsletter
Design, performance, and testing of reciprocating and rotating engines of various configurations for all types of propulsion. Includes internal and external combustion engines; engine exhaust systems; engine air systems components; engine structures; stirling and diesel engines.
Microsoft Word - Energy Market Alert Jan 24 2013 - Northeast _public version_.docx
Thursday January 24, 2013 Thursday January 24, 2013 Current status of natural gas and electricity markets in New York and New England For questions or comments about this report, please contact email@example.com. Temperature: Both NYC and Boston expect low temperatures through the day on Friday. Tonight's lows expected to be 12°F in NYC and 7°F in Boston. Friday night is forecast to be slightly milder than previous nights this week. Natural gas demand: Bentek forecasts that demand will remain at high levels through Friday. In New England, Monday's load may be slightly higher than Friday's. Natural gas constraints & LNG: Most pipelines from the west and south
Vital Alert's C1000 mine and tunnel radios use magnetic induction, advanced
Millions in cost reduction and advantageous diaper products result Millions in cost reduction and advantageous diaper products result from LANL projects Millions in cost reduction and advantageous diaper products result from LANL projects LANL technology successfully optimized diaper manufacturing and manufacturing design, permitting Laboratory scientists to validate and expand the capabilities of the software. April 3, 2012 Technology to successfully optimize diaper manufacturing and manufacturing design allows LANL scientists to validate and expand the capabilities of the software. Technology to successfully optimize diaper manufacturing and manufacturing design allows LANL scientists to validate and expand the capabilities of the software. CFDLib is now available to U.S. industry as part of President Barack Obama's recently announced advanced manufacturing initiative
Microsoft Word - Energy Market Alert Jan 23 2013 - Northeast _public version_.docx
Wednesday January 23, 2013 Wednesday January 23, 2013 Current status of natural gas and electricity markets in New York and New England For questions or comments about this report, please contact email@example.com. Temperature: Both NYC and Boston expect low temperatures through the day on Friday. Tonight's lows expected to be 11°F in NYC and 7°F in Boston. Natural gas demand: Bentek forecasts that demand will remain stable at high levels through Thursday. Natural gas constraints & LNG: All pipelines from the west and south into New England remain constrained today (all over 95% of capacity). Flows on the marginal pipeline into NYC (Texas Eastern - TETCo) are constrained at
Microsoft Word - Energy Market Alert Jan 22 2013 - Northeast _public version_.docx
Tuesday January 22, 2013 Tuesday January 22, 2013 Current status of natural gas and electricity markets in New York and New England For questions or comments about this report, please contact email@example.com. Temperature: Both New York and Boston are expecting quite low temperatures through Thursday - lows may reach 6°F in Boston. Higher temperatures are forecast on Friday. Natural gas demand: Bentek forecasts that demand will be highest on Thursday. Today, New England forecast demand is about 3% higher than last Friday. In NYC, it is about 10% higher. Natural gas constraints & LNG: All pipelines from the west and south into New England are at constraint levels today (all over 95% of capacity).
Model Products Available
Available Available Archiving environmental data products has become recognized as a vital research practice: it improves our ability to reproduce results and perform additional analyses while saving the cost of redundant data collection activities. The same rationale applies to archiving numerical models. Archived models will provide the methodological detail of numerical modeling studies to recreate published modeling results, enabling the synthesis of results across modeling studies and the investigation of new hypotheses. In addition, archived models will allow determination of uncertainties for comparison with results from other models in assessment / policy studies. The model source code will also allow others to see how models treat individual processes. We are creating a two-tiered archive for numerical models. The first tier
NREL: Energy Analysis - News Archive 2007
7 7 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004 | 2003 | 2002 | 2001 Experts Discuss Carbon Policy Design and the Implications for EE and RE at NREL Energy Analysis Forum TAP Webcast: Sustainability Plan for L.A. School District Analysts Meet With Stakeholders NREL Energy Analysis Forum Focuses on Carbon Policy Design and the Implications for EE and RE Solar Advisor Model (SAM) Expanded Utility Green Pricing Programs Interaction of Renewable Energy Markets Supply and Demand Balance for Renewable Electricity Analysts Meet With Stakeholders Last Call for Renewable Energy Marketing Conference Registration Renewable Resource Data Center Analysts Meet With Stakeholders Analysis of the Solar America Initiative Distributed Generation Wind Opportunities
Building Energy Modeling Library
Modeling (BEM) Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute email@example.com 303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge repository to improve modeling consistency and address training gaps * Raise energy modeling industry "techniques" to the same
Model interoperability via Model Driven Development
Among the factors that contribute to the inherent complexity of the software development process is the gap between the design and the formal analysis domains. Software design is often considered a human oriented task while the analysis phase draws on ... Keywords: Model Driven Development, Model interoperability, Petri Nets, Software development, UML
Mohamed A. Ameedeen; Behzad Bordbar; Rachid Anane
Multiple model inference.
This paper compares three approaches for model selection: classical least squares methods, information theoretic criteria, and Bayesian approaches. Least squares methods are not model selection methods although one can select the model that yields the smallest sum-of-squared error function. Information theoretic approaches balance overfitting with model accuracy by incorporating terms that penalize more parameters with a log-likelihood term to reflect goodness of fit. Bayesian model selection involves calculating the posterior probability that each model is correct, given experimental data and prior probabilities that each model is correct. As part of this calculation, one often calibrates the parameters of each model and this is included in the Bayesian calculations. Our approach is demonstrated on a structural dynamics example with models for energy dissipation and peak force across a bolted joint. The three approaches are compared and the influence of the log-likelihood term in all approaches is discussed.
Swiler, Laura Painton; Urbina, Angel
Energy-consumption modelling
A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.
Reiter, E.R.
Modeling teleological interpretation
The paper presents a model of teleological interpretation of statutory legal rules as well as an example of the genuine law case, which has been modeled with use of established methodology. Keywords: argumentation, reasoning, teleological interpretation
Tomasz Zurek, Micha? Araszkiewicz
Modeling and Forecasting Aurora
Modeling the physical processes needed for forecasting space-weather events requires multiscale modeling. This article discusses several modelsresearchers use to treat the various auroral processes that influence space weather.
Dirk Lummerzheim
Advanced material appearance modeling
For many years, appearance models in computer graphics focused on general models for reflectance functions coupled with texture maps. Recently, it has been recognized that even very common materials such as hair, skin, fabric, and rusting metal require ...
Julie Dorsey; Holly Rushmeier
Facial modeling and animation
In this course we present an overview of the concepts and current techniques in facial modeling and animation. We introduce this research area by its history and applications. As a necessary prerequisite for facial modeling, data acquisition is discussed ...
J�rg Haber; Demetri Terzopoulos
Sodar in Dispersion Modeling
Usefulness of sodar data for dispersion modeling has been highlighted. A case study of using sodar data in a simple Gaussian dispersion model to calculate ground-level concentration of particulate matter emitted from a cement plant has been ...
B. S. Gera; D. R. Pahwa; Neeraj Saxena; Gurbir Singh; Rakesh Aggarwal
Anomaly General Circulation Models
Anomally models based on a spectral general circulation model (GCM) are formulated and applied to study of low-frequency atmospheric variability in the extratropics, and long-range forecasting research. A steady linear version of the anomaly ...
A. Navarra; K. Miyakoda
Simple Models of Stratification
Simple analytical and numerical models of gratified circulation are discussed. The models are driven by buoyancy and mechanical forcing, and buoyancy diffusion is parameterized in term of diapycnal mass fluxes. The interior responds in typical ...
William K. Dewar
Progress in Paleoclimate Modeling
This paper briefly surveys areas of paleoclimate modeling notable for recent progress. New ideas, including hypotheses giving a pivotal role to sea ice, have revitalized the low-order models used to simulate the time evolution of glacial cycles ...
Mark A. Cane; Pascale Braconnot; Amy Clement; Hezi Gildor; Sylvie Joussaume; Masa Kageyama; Myriam Khodri; Didier Paillard; Simon Tett; Eduardo Zorita
AVESTAR® - Dynamic Modeling
Dynamic Modeling Dynamic Modeling The AVESTAR team is pursuing research on the dynamic modeling and simulation of advanced energy systems ranging from power plants to power grids. Dynamic models provide a continuous view of energy systems in action by calculating their transient behavior over time. Plant-wide Models For power plants, dynamic models are used to analyze a wide variety of operating scenarios, including normal base load operation, startup, shutdown, feedstock switchovers, cycling, and load-following. Dynamic process and control models are also essential for analyzing plant responses to setpoint changes and disturbances, as well as malfunctions and abnormal situations. Other applications of plant-wide dynamic models include controllability and operational flexibility analyses, environmental studies, safety evaluations, and risk mitigation.
Model Validation Bernie Lesieutre
Model Validation Model Validation Bernie Lesieutre University of Wisconsin email@example.com 27 June 2013 Washington, DC DOE/OE Transmission Reliability Program 2 Project Objectives To Develop techniques and tools for PMU- and feature-based power system model validation. Background: Our prior proof-of-concept research demonstrated that feature-based sensitivity models can be used to calibrate power system dynamic models. This was applied to the WECC composite load model for oscillatory and FIDVR events. 3 Project Objectives PSLF simulation features features Sensitivity Model (parameters) Measured Data Simulated Data Features Error Adjust Parameters Technical Approach 4 Project Objectives Current Research: Use PMU data to calibrate power plant models. Four Tasks:
Modeling the Pacific Ocean
Two numerical models utilizing primitive equations (two momentum equations and a mass continuity equation) simulate the oceanography of the Pacific Ocean from 20{degrees}S to 50{degrees}N. The authors examine the abundant model data through visualization , by animating the appropriate model fields and viewing the time history of each model simulation as a color movie. The animations are used to aid understanding of ocean circulation.
Johnson, M.A.; O' Brien, J.J. (Mesoscale Air-Sea Interaction Group, Florida State Univ., Tallahassee, FL (US))
Fuel Modeling II
Mar 4, 2013 ... Integrated Computational Modeling of Materials for Nuclear Energy: ... Continuum Theory of Defects and Materials Response to Irradiation:�...
Manufacturing Modeling and Simulation
... An integrated data model for manufacturing activities will be defined ... Measurement science techniques, including classic statistics, will be applied ...
Boron: Modeling, Superconductivity
Oct 8, 2012 ... Boron, Boron Compounds, and Boron Nanomaterials: Structure, Properties, Processing and Applications: Boron: Modeling, Superconductivity
Combining climate model output via model correlations
Apr 9, 2010 ... we fit a statistical model linking the ensemble members explicitly through the .... for the domain (winds, temperature, moisture, etc.) are obtained .... ever, there are different dynamical features to the indi- .... Further, it is possible.
PREDICTIVE MODELS is a collection of five models - CFPM, CO2PM, ICPM, PFPM, and SFPM - used in the 1982-1984 National Petroleum Council study of enhanced oil recovery (EOR) potential. Each pertains to a specific EOR process designed to squeeze additional oil from aging or spent oil fields. The processes are: 1 chemical flooding, where soap-like surfactants are injected into the reservoir to wash out the oil; 2 carbon dioxide miscible flooding, where carbon dioxide mixes with the lighter hydrocarbons making the oil easier to displace; 3 in-situ combustion, which uses the heat from burning some of the underground oil to thin the product; 4 polymer flooding, where thick, cohesive material is pumped into a reservoir to push the oil through the underground rock; and 5 steamflood, where pressurized steam is injected underground to thin the oil. CFPM, the Chemical Flood Predictive Model, models micellar (surfactant)-polymer floods in reservoirs, which have been previously waterflooded to residual oil saturation. Thus, only true tertiary floods are considered. An option allows a rough estimate of oil recovery by caustic or caustic-polymer processes. CO2PM, the Carbon Dioxide miscible flooding Predictive Model, is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO2 injection or water-alternating gas processes. ICPM, the In-situ Combustion Predictive Model, computes the recovery and profitability of an in-situ combustion project from generalized performance predictive algorithms. PFPM, the Polymer Flood Predictive Model, is switch-selectable for either polymer or waterflooding, and an option allows the calculation of the incremental oil recovery and economics of polymer relative to waterflooding. SFPM, the Steamflood Predictive Model, is applicable to the steam drive process, but not to cyclic steam injection (steam soak) processes.
Ray, R.M. [DOE Bartlesville Energy Technology Technology Center, Bartlesville, OK (United States)
The Java memory model
This paper describes the new Java memory model, which has been revised as part of Java 5.0. The model specifies the legal behaviors for a multithreaded program; it defines the semantics of multithreaded Java programs and partially determines legal implementations ... Keywords: Java, concurrency, memory model, multithreading
Jeremy Manson; William Pugh; Sarita V. Adve
Texture enhanced appearance models
Statistical region-based registration methods such as the active appearance model (AAM) are used for establishing dense correspondences in images. At low resolution, images correspondences can be recovered reliably in real-time. However, as resolution ... Keywords: Active appearance models, Atlases, Deformable models, Dimensionality reduction, Face images, Registration, Wavelets, Wedgelets
Rasmus Larsen; Mikkel B. Stegmann; Sune Darkner; S�ren Forchhammer; Timothy F. Cootes; Bjarne Kj�r Ersb�ll
A Holographic Energy Model
We suggest a holographic energy model in which the energy coming from spatial curvature, matter and radiation can be obtained by using the particle horizon for the infrared cut-off. We show the consistency between the holographic dark-energy model and the holographic energy model proposed in this paper. Then, we give a holographic description of the universe.
P. Huang; Yong-Chang Huang
Huang, P
A Smooth Cloud Model
In this paper a large-eddy �smooth� cloud (SC) model will be presented with smooth implying that the entire model converges under a Newton-based solution procedure or that time scales within the SC model are being resolved. Besides ensuring that ...
J. M. Reisner; C. A. Jeffery
Solar information process model
The MITRE Solar Information Process Model (SIP) is a computerized model that simulates information processes in solar markets. As such, it represents a useful tool in the formulation of solar information outreach programs. For each market investigated, SIP model outputs include prioritized listings of the information needs of key decision makers and other strategically important market participants, and related information flow paths. This report provides macro-descriptions of the model and its logic together with a detailed illustrative example of its application. It also presents the findings and conclusions resulting from utilization of the model in the analysis of information processes in eight solar markets within the residential, commercial and agricultural sectors.
Hewett, R.; Spewak, P.
Argonne GREET Model
Laboratory Transportation Technology R&D Center DOE Logo Laboratory Transportation Technology R&D Center DOE Logo About TTRDC Mission Experts Facilities Tools Publications Awards Media Center Site Index Search TTRDC ... Search Argonne Home > Transportation Technology R & D Center > Modeling_simulation > Alternative Fuels Autonomie Batteries Engines Green Racing ... ... GREET * Fuel-Cycle Model * Power Water Model * Copyright Statement * Mini-tool and Results * Vehicle-Cycle Model * Publications * AFLEET Tool * Fleet Footprint Calculator * Travel Carbon Calculator * Workshops * Contact ... ... Hybrid Electric Vehicles Hydrogen & Fuel Cells Materials Modeling, Simulation & Software Plug-In Hybrid Electric Vehicles PSAT Smart Grid Student Competitions Transportation Research and Analysis Computing Center
Solar radiation model validation
Several mathematical models have been developed within the past few years which estimate the solar radiation from other weather variables. Some of these models have been used to generate data bases which are extensively used in the design and analysis of solar system. Three of these solar radiation models have been used in developing the Augmented SOLMET Solar Data Tapes for the 26 SOLMET sites and the 222 ERSATZ Solar Data Tapes. One of the models, a theoretical one, predicts the solar noon radiation for clear sky conditions from the optical air mass, precipitable water vapor and turbidity variables. A second model, an empirical one, predicts the hourly total horizontal radiation from meteorological variables. And, a third model, also an empirical one, predicts the hourly direct normal radiation from the hourly total horizontal radiation. A study of the accuracy of these three solar radiation models is reported here. To assess the accuracy of these models, data were obtained from several US National Weather Service Stations and other sources, used the models to estimate the solar-radiation, and then compared the modeled radiation values with observed radiation values. The results of these comparisons and conclusions regarding the accuracy of the models are presented.
Hall, I.J.; Prairie, R.R.; Anderson, H.E.; Boes, E.C.
Rail-transportation modeling
Many different types of transportation models are used to model coal transportation by rail. To obtain realistic results, it is usually necessary to consider other modes in addition to rail and other commodities in addition to coal. For example, to know the potential bottlenecks on the rail system it is necessary to predict the total level of freight movement on the rail system. This requires modeling the movements of other commodities in addition to coal. To predict the levels of flows of both coal and non-coal commodities on the rail system, it is necessary to predict the share of total flows carried by rail. This requires accurate modeling of competing modes. To develop accurate rate models it is also necessary to have information on competing modes. This paper presents a collection of transportation models used to model the various aspects of coal transportation by rail and shows how they interact.
Tobin, R.L.
Foam process models.
In this report, we summarize our work on developing a production level foam processing computational model suitable for predicting the self-expansion of foam in complex geometries. The model is based on a finite element representation of the equations of motion, with the movement of the free surface represented using the level set method, and has been implemented in SIERRA/ARIA. An empirically based time- and temperature-dependent density model is used to encapsulate the complex physics of foam nucleation and growth in a numerically tractable model. The change in density with time is at the heart of the foam self-expansion as it creates the motion of the foam. This continuum-level model uses an homogenized description of foam, which does not include the gas explicitly. Results from the model are compared to temperature-instrumented flow visualization experiments giving the location of the foam front as a function of time for our EFAR model system.
Moffat, Harry K.; Noble, David R.; Baer, Thomas A. (Procter & Gamble Co., West Chester, OH); Adolf, Douglas Brian; Rao, Rekha Ranjana; Mondy, Lisa Ann
Model documentation: household model of energy
The Household Model of Energy is an econometric model, meaning that energy use is determined quantitatively with the use of economic variables such as fuel prices and income. HOME is also primarily a structural model, meaning that energy use is determined as the result of interactions of intermediate components such as the number of households, the end use fuel shares and the energy use per household. HOME forecasts energy consumption in all occupied residential structures (households) in the United States on an annual basis through 1990. The forecasts are made based upon a number of initial conditions in 1980, various estimated elasticities, various parameters and assumptions, and a set of forecasted fuel prices and income. In addition to the structural detail, HOME operates on a more disaggregated level. This includes four end-use services (space heating, water heating, air conditioning, and others), up to seven fuel/technology types (dependent upon the end use service), two housing types, four structure vintages, and four Census regions. When the model is run as a module in IFFS, a sharing scheme further disaggregates the model to 10 Federal regions.
Holte, J.A.
Journeys Beyond the Standard Model
Chapter 1 Introduction The Standard Model (SM) of Particleresults of searches for the standard model Higgs boson in ppunderstand new physics. The Standard Model is incom- plete;
Elor, Gilly
A Little Twin Higgs Model
introduced in these twin Higgs models. We leave thesequartic into the left-right twin Higgs model, leading to amechanism to the mirror twin Higgs model and established
Goh, Hock-Seng
Model-free Model-fitting and Predictive Distributions
Politis, D.N. (2007a). Model-free vs. model-based volatilityPolitis, D.N. (2007b). Model-free prediction, in Bulletin ofFurthermore, the model-free prediction principle can be
Politis, Dimitris N
Jenseits des Standard Modells
The Standard Model The Standard Model Unngelöste Rätsel Jenseits des Standard Modells Das Standard Modell gibt auf viele Fragen, über Struktur und Stabilität der Materie eine Antwort. Dazu braucht es nur die sechs Sorten von Quarks und Leptonen und die vier fundamentalen Kräfte. Aber das Standard Modell ist nicht vollständig; es gibt noch viele unbeantwortete Fragen. Eigentlich sollten wir aus Gründen der Symmetrie im Weltraum gleichviel Materie wie Antimaterie beobachten. Wir finden aber praktisch nur normale Materie! Warum? Woraus besteht die "Dunkle Materie", die wir nicht sehen können, die aber im Universum sichtbare Gravitationswirkungen zeigt? Warum kann das Standard Modell die Massen der Teilchen nicht vorhersagen? Sind Quarks and Leptonen wirklich fundamentae Teilchen, oder sind sie aus noch elementareren Partikeln aufgebaut?
HOMER� Micropower Optimization Model
NREL has developed the HOMER micropower optimization model. The model can analyze all of the available small power technologies individually and in hybrid configurations to identify least-cost solutions to energy requirements. This capability is valuable to a diverse set of energy professionals and applications. NREL has actively supported its growing user base and developed training programs around the model. These activities are helping to grow the global market for solar technologies.
Lilienthal, P.
Introduction to Graphical Modelling
The aim of this chapter is twofold. In the first part we will provide a brief overview of the mathematical and statistical foundations of graphical models, along with their fundamental properties, estimation and basic inference procedures. In particular we will develop Markov networks (also known as Markov random fields) and Bayesian networks, which comprise most past and current literature on graphical models. In the second part we will review some applications of graphical models in systems biology.
Scutari, Marco
Improved steamflood analytical model
The Jeff Jones steamflood model incorporates oil displacement by steam as described by Myhill and Stegemeier, and a three-component capture factor based on empirical correlations. The main drawback of the model however is the unsatisfactory prediction of the oil production peak: usually significantly lower than the actual. Our study focuses on improving this aspect of the Jeff Jones model. In our study, we simulated the production performance of a 5-spot steamflood pattern unit and compared the results against those based on the Jeff Jones model. Three reservoir types were simulated using 3-D Cartesian black oil models: Hamaca (9�?°API), San Ardo (12�?°API) and that based on the SPE fourth comparative solution project (14�?°API). In the first two field cases, a 45x23x8 model was used that represented 1/8 of a 10-acre 5-spot pattern unit, using typical rock and reservoir fluid properties. In the SPE project case, three models were used: 23x12x12 (2.5 ac), 31x16x12 (5 ac) and 45x23x8 (10 ac), that represented 1/8 of a 5-spot pattern unit. To obtain a satisfactory match between simulation and Jeff Jones analytical model results of the start and height of the production peak, the following refinements to the Jeff Jones model were necessary. First, the dimensionless steam zone size AcD was modified to account for decrease in oil viscosity during steamflood and its dependence on the steam injection rate. Second, the dimensionless volume of displaced oil produced VoD was modified from its square-root format to an exponential form. The modified model gave very satisfactory results for production performance up to 20 years of simulated steamflood, compared to the original Jeff Jones model. Engineers will find the modified model an improved and useful tool for prediction of steamflood production performance.
Chandra, Suandy
Transport Model with Quasipions
We extend the normal transport model to include the medium effect on pions by treating them as quasiparticles. The property of the quasipion is determined using the delta-hole model. Modelling heavy-ion collisions at intermediate energies with the new transport equations, we find that it leads to an enhanced production of pions with low kinetic energies. This gives a plausible explanation for the observed enhancement of soft pions in the Bevalac experiments.
Xiong, L.; Ko, Che Ming; Koch, V.
The purpose of these lectures is to present elements of the equations and algorithms used in numerical models of the large-scale ocean circulation. Such models generally integrate the ocean�s primitive equations, which are based on Newton�s Laws applied to a continuum fluid under hydrostatic balance in a spherical geometry, along with linear irreversible thermodynamics and subgrid scale (SGS) parameterizations. During formulations of both the kinematics and dynamics, we highlight issues related to the use of a generalized vertical coordinate. The vertical coordinate is arguably the most critical element determining how a model is designed and applications to which a model is of use.
Stephen M. Griffies
Advanced Mixing Models
Propose mixing indicators. Turbulence kinetic energy ... (Turbulence intensity observed at Point 8 in Tank B & C) Advanced Mixing Models. Computational Sciences. 13.
Regional Climate Information & Modeling
Information & Modeling Print E-mail The specific impacts and vulnerabilities posed by climate change are largely defined by regional differences 9in things like geography,...
The Four Step Model
of models of trip generation, distribution, and diversion inspecified through generation, distribution, mode choice, andestimate trip generation, trip distribution, and mode choice
McNally, Michael G.
Fuel Modeling I
Mar 4, 2013 ... Integrated Computational Modeling of Materials for Nuclear Energy: Fuel ... in the incorporation of rare gas fission products such as Kr and Xe.
History of Geochemical Modeling
Table 1 Sources of geochemical modeling software...www.telusplanet.net/public/geogams/index SOLVEQ/CHILLER Mark H. Reed Department of Geological
Fragen zum Standard Modell
Quiz What is Fundamental? Fragen zum Standard Modell Frage: Aus wievielen elementaren Teilchen sind die mehr als hundert bekannten Teilchen aufgebaut? Antwort 6 Quarks, 6 Leptonen,...
Photovoltaics Business Models
This report summarizes work to better understand the structure of future photovoltaics business models and the research, development, and demonstration required to support their deployment.
Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.
Modelling household electricity consumption.
??A number of conclusions are drawn, however given the limited and non-representative na- ture of the data on which the model is calibrated, these can� (more)
de la Rue, Philip Martin
Matrix models - Springer
Duijndam WAL, Duijn P van (1975 b) The influence of chromatin compactness on the stoichiometry of the Feulgen-Schiff proce- dure studied in model films.
Modeling & Simulation - Fuel Cells
GCTool Computer Model Helps Focus Fuel Cell Vehicle Research Somewhere near Detroit, an automotive engineer stares at the ceiling, wondering how to squeeze 1% more efficiency out...
Practical Models Supporting
Practical Models Supporting Remediation of Chlorinated Solvents Training Course. The Center for Sustainable Soil and Groundwater Solutions holds training courses on ...
Modeling and Simulation
"Applying Technical Cost Modeling to the Metals Industry" (Overview), R. Bhatkal and J. Busch, April 1998, pp. 27-28. "Assessing the Affordability of Emerging�...
Photovoltaic array performance model.
This document summarizes the equations and applications associated with the photovoltaic array performance model developed at Sandia National Laboratories over the last twelve years. Electrical, thermal, and optical characteristics for photovoltaic modules are included in the model, and the model is designed to use hourly solar resource and meteorological data. The versatility and accuracy of the model has been validated for flat-plate modules (all technologies) and for concentrator modules, as well as for large arrays of modules. Applications include system design and sizing, 'translation' of field performance measurements to standard reporting conditions, system performance optimization, and real-time comparison of measured versus expected system performance.
Kratochvil, Jay A.; Boyson, William Earl; King, David L.
Simulation and Modeling
Mar 6, 2013... 5Key Laboratory of Unconventional Metallurgy, Kunming University of ... fluid flow and fuel oil heat and mass transfer mathematical model for�...
model only doe/nnsa master june 1, 2006 1 lanl modular crada stevenson-wydler (15 usc 3710) cooperative research and development agreement (hereinafter "crada") no ...
Models of Holographic superconductivity
We construct general models for holographic superconductivity parametrized by three couplings which are functions of a real scalar field and show that under general assumptions they describe superconducting phase transitions. While some features are universal and model independent, important aspects of the quantum critical behavior strongly depend on the choice of couplings, such as the order of the phase transition and critical exponents of second-order phase transitions. In particular, we study a one-parameter model where the phase transition changes from second to first order above some critical value of the parameter and a model with tunable critical exponents.
Francesco Aprile; Jorge G. Russo
Nuclear Fuels - Modeling
Mar 12, 2012... for the Current and Advanced Nuclear Reactors: Nuclear Fuels - Modeling .... Using density functional theory (DFT), we have predicted that�...
Autotune Building Energy Models
Autotune Building Energy Models Autotune Building Energy Models Joshua New Oak Ridge National Laboratory email@example.com, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and scale
Testing model assumptions in functional regression models
In the functional regression model where the responses are curves, new tests for the functional form of the regression and the variance function are proposed, which are based on a stochastic process estimating L^2-distances. Our approach avoids the explicit ... Keywords: 62G10, Functional data, Goodness-of-fit tests, Parametric bootstrap, Tests for heteroscedasticity
Axel B�cher; Holger Dette; Gabriele Wieczorek
Transforming object-oriented models to process-oriented models
Object-oriented modelling is an established approach to document the information systems. In an object model, a system is captured in terms of object types and associations, state machines, collaboration diagrams, etc. Process modeling on the other hand, ... Keywords: model transformation, object model, process model
Guy Redding; Marlon Dumas; Arthur H. M. Ter Hofstede; Adrian Iordachescu
Local model network identification for online engine modelling
In this paper an evolving local model network (LMN) which is especially suited for engine modelling is presented and discussed. The incremental construction of the model tree allows to gradually increase the model complexity while a proper initialisation ... Keywords: Engine modelling, Incremental learning, Local model network, Online learning
Christoph Hametner; Stefan Jakubek
Generic-model based human-body modeling
This paper presents a generic-model based human-body modeling method which take the anatomical structure of the human body into account. The generic model contains anatomical structure of bones and muscles of the human body. For a given target skin mesh, ... Keywords: anatomically-based modeling, generic model, human body modeling
Xiaomao Wu; Lizhuang Ma; Ke-Sen Huang; Yan Gao; Zhihua Chen
Slide 1
1 1 MA-50 DOE/OECM 1 OECM PARS II Working Group Oversight & Assessment Module April 30, 2009 Created by: EES/Dekker PARS II Team 2 Agenda * Obtain consensus on screen data elements * Screens to be covered in this meeting are: * PARS II Roles & Access Rights * Budget (Requirements & Discussion) * Gold Card 3 Roles & Access Rights * List of Group Names * Business Rules (draft) * Two Security Models * Supporting Details 4 Group Names * Federal Project Director * Deputy Federal Project Director * OECM Senior Management * OECM Analyst * Alternate OECM Analyst * Contracting Officer Rep. * Interested Party * Federal Program Manager * Program Manager * Program Analyst * Program Point of Contact * Acquisition Executive * Contractor Project Mgr. (CPP) * Contractor Analyst (CPP) MA-50 DOE/OECM 4 5 Business Rules (Draft)
Impaired Executive Control Is Associated with a Variation in the Promoter Region of the Tryptophan Hydroxylase 2 Gene
Current models of attention describe attention not as a homogenous entity but as a set of neural networks whose measurement yields a set of three endophenotypes---alerting, orienting, and executive control. Previous findings revealed different neuroanatomical ...
Martin Reuter; Ulrich Ott; Dieter Vaitl; J�rgen Hennig
Epidemic modeling techniques for smallpox
Infectious disease models predict the impact of outbreaks. Discrepancies between model predictions stem from both the disease parameters used and the underlying mathematics of the models. Smallpox has been modeled extensively ...
McLean, Cory Y. (Cory Yuen Fu)
Groundwater Model Validation
Models have an inherent uncertainty. The difficulty in fully characterizing the subsurface environment makes uncertainty an integral component of groundwater flow and transport models, which dictates the need for continuous monitoring and improvement. Building and sustaining confidence in closure decisions and monitoring networks based on models of subsurface conditions require developing confidence in the models through an iterative process. The definition of model validation is postulated as a confidence building and long-term iterative process (Hassan, 2004a). Model validation should be viewed as a process not an end result. Following Hassan (2004b), an approach is proposed for the validation process of stochastic groundwater models. The approach is briefly summarized herein and detailed analyses of acceptance criteria for stochastic realizations and of using validation data to reduce input parameter uncertainty are presented and applied to two case studies. During the validation process for stochastic models, a question arises as to the sufficiency of the number of acceptable model realizations (in terms of conformity with validation data). Using a hierarchical approach to make this determination is proposed. This approach is based on computing five measures or metrics and following a decision tree to determine if a sufficient number of realizations attain satisfactory scores regarding how they represent the field data used for calibration (old) and used for validation (new). The first two of these measures are applied to hypothetical scenarios using the first case study and assuming field data consistent with the model or significantly different from the model results. In both cases it is shown how the two measures would lead to the appropriate decision about the model performance. Standard statistical tests are used to evaluate these measures with the results indicating they are appropriate measures for evaluating model realizations. The use of validation data to constrain model input parameters is shown for the second case study using a Bayesian approach known as Markov Chain Monte Carlo. The approach shows a great potential to be helpful in the validation process and in incorporating prior knowledge with new field data to derive posterior distributions for both model input and output.
Ahmed E. Hassan
Biosphere Process Model Report
To evaluate the postclosure performance of a potential monitored geologic repository at Yucca Mountain, a Total System Performance Assessment (TSPA) will be conducted. Nine Process Model Reports (PMRs), including this document, are being developed to summarize the technical basis for each of the process models supporting the TSPA model. These reports cover the following areas: (1) Integrated Site Model; (2) Unsaturated Zone Flow and Transport; (3) Near Field Environment; (4) Engineered Barrier System Degradation, Flow, and Transport; (5) Waste Package Degradation; (6) Waste Form Degradation; (7) Saturated Zone Flow and Transport; (8) Biosphere; and (9) Disruptive Events. Analysis/Model Reports (AMRs) contain the more detailed technical information used to support TSPA and the PMRs. The AMRs consists of data, analyses, models, software, and supporting documentation that will be used to defend the applicability of each process model for evaluating the postclosure performance of the potential Yucca Mountain repository system. This documentation will ensure the traceability of information from its source through its ultimate use in the TSPA-Site Recommendation (SR) and in the National Environmental Policy Act (NEPA) analysis processes. The objective of the Biosphere PMR is to summarize (1) the development of the biosphere model, and (2) the Biosphere Dose Conversion Factors (BDCFs) developed for use in TSPA. The Biosphere PMR does not present or summarize estimates of potential radiation doses to human receptors. Dose calculations are performed as part of TSPA and will be presented in the TSPA documentation. The biosphere model is a component of the process to evaluate postclosure repository performance and regulatory compliance for a potential monitored geologic repository at Yucca Mountain, Nevada. The biosphere model describes those exposure pathways in the biosphere by which radionuclides released from a potential repository could reach a human receptor. Collectively, the potential human receptor and exposure pathways form the biosphere model. More detailed technical information and data about potential human receptor groups and the characteristics of exposure pathways have been developed in a series of AMRs and Calculation Reports.
J. Schmitt
Model Driven Security Functional Testing
Model Driven Security Functional Testing. Summary: Model-Driven Engineering (MDE) is emerging as a promising approach ...
Articular human joint modelling
The work reported in this paper encapsulates the theories and algorithms developed to drive the core analysis modules of the software which has been developed to model a musculoskeletal structure of anatomic joints. Due to local bone surface and contact ... Keywords: 6DOF, Joint Modelling, Software, Tissue wrapping, bilateral, constraints, forced contact based articulation, unilateral
Ibrahim i. Esat; Neviman Ozada
Solar radiation modelling
The Sun is the main energy source of the life on the Earth. Thus, solar radiation energy data and models are important for many areas of research and applications. Many parameters influence the amount of solar energy at a particular standing point of ... Keywords: Digital elevation model, Energy of quasiglobal radiation, Meteorology, Shadows, Virtual Sun motion
Klemen Zak�ek; Toma Podobnikar; Kri�tof O�tir
Composite Load Model Evaluation
The WECC load modeling task force has dedicated its effort in the past few years to develop a composite load model that can represent behaviors of different end-user components. The modeling structure of the composite load model is recommended by the WECC load modeling task force. GE Energy has implemented this composite load model with a new function CMPLDW in its power system simulation software package, PSLF. For the last several years, Bonneville Power Administration (BPA) has taken the lead and collaborated with GE Energy to develop the new composite load model. Pacific Northwest National Laboratory (PNNL) and BPA joint force and conducted the evaluation of the CMPLDW and test its parameter settings to make sure that: � the model initializes properly, � all the parameter settings are functioning, and � the simulation results are as expected. The PNNL effort focused on testing the CMPLDW in a 4-bus system. An exhaustive testing on each parameter setting has been performed to guarantee each setting works. This report is a summary of the PNNL testing results and conclusions.
Lu, Ning; Qiao, Hong (Amy)
Models for universal usability
This paper discusses how model-based approaches can support designers and developers to address a number of challenges raised by universal usability, such as the possibility of obtaining user interfaces able to adapt to any device and usability evaluation ... Keywords: abstract user interfaces, authoring environments, heterogeneous clients, multi-platform user interfaces, remote evaluation, task Models
Fabio Patern�
Modeling the Loss Distribution
In this paper, we focus on modeling and predicting the loss distribution for credit risky assets such as bonds and loans. We model the probability of default and the recovery rate given default based on shared covariates. We develop a new class of default ... Keywords: Basel II, default prediction, loss distribution, recovery rates
Sudheer Chava; Catalina Stefanescu; Stuart Turnbull
Modeling for Insights
System Dynamics is a computer-aided approach to evaluating the interrelationships of different components and activities within complex systems. Recently, System Dynamics models have been developed in areas such as policy design, biological and medical modeling, energy and the environmental analysis, and in various other areas in the natural and social sciences. The real power of System Dynamic modeling is gaining insights into total system behavior as time, and system parameters are adjusted and the effects are visualized in real time. System Dynamic models allow decision makers and stakeholders to explore long-term behavior and performance of complex systems, especially in the context of dynamic processes and changing scenarios without having to wait decades to obtain field data or risk failure if a poor management or design approach is used. The Idaho National Laboratory recently has been developing a System Dynamic model of the US Nuclear Fuel Cycle. The model is intended to be used to identify and understand interactions throughout the entire nuclear fuel cycle and suggest sustainable development strategies. This paper describes the basic framework of the current model and presents examples of useful insights gained from the model thus far with respect to sustainable development of nuclear power.
Jacob J. Jacobson; Gretchen Matthern
Nonparametric combinatorial sequence models
This work considers biological sequences that exhibit combinatorial structures in their composition: groups of positions of the aligned sequences are "linked" and covary as one unit across sequences. If multiple such groups exist, complex interactions ... Keywords: Chinese restaurant franchise, Chinese restaurant process, MHC binding, mixture models, sequence models
Fabian L. Wauthier; Michael I. Jordan; Nebojsa Jojic
Fitting Zodiacal Models
Models of the zodiacal light are necessary to convert measured data taken from low Earth orbit into the radiation field outside the solar system. The uncertainty in these models dominates the overall uncertainty in determining the extragalactic background light for wavelengths < 100 microns.
Edward L. Wright
The purpose of the Ventilation Model is to simulate the heat transfer processes in and around waste emplacement drifts during periods of forced ventilation. The model evaluates the effects of emplacement drift ventilation on the thermal conditions in the emplacement drifts and surrounding rock mass, and calculates the heat removal by ventilation as a measure of the viability of ventilation to delay the onset of peak repository temperature and reduce its magnitude. The heat removal by ventilation is temporally and spatially dependent, and is expressed as the fraction of heat carried away by the ventilation air compared to the fraction of heat produced by radionuclide decay. One minus the heat removal is called the wall heat fraction, or the remaining amount of heat that is transferred via conduction to the surrounding rock mass. Downstream models, such as the ''Multiscale Thermohydrologic Model'' (BSC 2001), use the wall heat fractions as outputted from the Ventilation Model to initialize their postclosure analyses.
V. Chipman
Criticality Model Report
The purpose of the ''Criticality Model Report'' is to validate the MCNP (CRWMS M&O 1998h) code's ability to accurately predict the effective neutron multiplication factor (k{sub eff}) for a range of conditions spanned by various critical configurations representative of the potential configurations commercial reactor assemblies stored in a waste package may take. Results of this work are an indication of the accuracy of MCNP for calculating eigenvalues, which will be used as input for criticality analyses for spent nuclear fuel (SNF) storage at the proposed Monitored Geologic Repository. The scope of this report is to document the development and validation of the criticality model. The scope of the criticality model is only applicable to commercial pressurized water reactor fuel. Valid ranges are established as part of the validation of the criticality model. This model activity follows the description in BSC (2002a).
J.M. Scaglione
XAFS Model Compound Library
DOE Data Explorer (OSTI)
The XAFS Model Compound Library contains XAFS data on model compounds. The term "model" compounds refers to compounds of homogeneous and well-known crystallographic or molecular structure. Each data file in this library has an associated atoms.inp file that can be converted to a feff.inp file using the program ATOMS. (See the related Searchable Atoms.inp Archive at http://cars9.uchicago.edu/~newville/adb/) This Library exists because XAFS data on model compounds is useful for several reasons, including comparing to unknown data for "fingerprinting" and testing calculations and analysis methods. The collection here is currently limited, but is growing. The focus to date has been on inorganic compounds and minerals of interest to the geochemical community. [Copied, with editing, from http://cars9.uchicago.edu/~newville/ModelLib/
Newville, Matthew
Use dispersion modeling update
This paper discusses EPA's long-awaited update to the Industrial Source Complex (ISC) dispersion models which provides computer-software to comply with National Ambient Air Quality Standards. Moreover, the ISC2 models's Fortran codes are available from EPA at no cost, in a form compatible with desktop computers. This is a plus for hydrocarbon processing industry (HPI) environmental control professionals. ISC2 will be used for all future regulatory applications where dispersion modeling is required for facilities in simple terrain. Process engineers sometimes use ISC models and are often called upon to assist in developing emissions estimates that the program uses to calculate air quality impacts. The model challenges users because it can represent a variety of configurations for emissions sources. Title III of the Clean Air Act Amendments is an entirely new section dealing with air toxics such as those in the HPI. EPA is required to develop a list of maximum achievable control technologies (MACT) for these compounds.
Freiman, J.P.; Hill, J. (Bechtel Environmental, Inc., Houston, TX (US))
Direct insolation models
Several recently published models of the direct component of the broadband insolation are compared for clear sky conditions. The comparison includes seven simple models and one rigorous model that is used as a basis for determining accuracy. Where possible, the comparison is made between the results of each model for each atmospheric constituent (H/sub 2/O, CO/sub 2/, O/sub 3/, O/sub 2/, aerosol and molecular scattering) separately as well as for the combined effect of all of the constituents. Two optimum simple models of varying degrees of complexity are developed as a result of this comparison. The study indicates: aerosols dominate the attenuation of the direct beam for reasonable atmospheric conditions; molecular scattering is next in importance; water vapor is an important absorber; and carbon dioxide and oxygen are relatively unimportant as attenuators of the broadband solar energy.
Bird, R.; Hulstrom, R.L.
Global ice sheet modeling
The University of Maine conducted this study for Pacific Northwest Laboratory (PNL) as part of a global climate modeling task for site characterization of the potential nuclear waste respository site at Yucca Mountain, NV. The purpose of the study was to develop a global ice sheet dynamics model that will forecast the three-dimensional configuration of global ice sheets for specific climate change scenarios. The objective of the third (final) year of the work was to produce ice sheet data for glaciation scenarios covering the next 100,000 years. This was accomplished using both the map-plane and flowband solutions of our time-dependent, finite-element gridpoint model. The theory and equations used to develop the ice sheet models are presented. Three future scenarios were simulated by the model and results are discussed.
Hughes, T.J.; Fastook, J.L. [Univ. of Maine, Orono, ME (United States). Institute for Quaternary Studies
Thermodynamic Modeling Studies
Modeling Studies Modeling Studies J. Lindner, L. T. Smith, J. C. Luthe, L. Pearson. R. K. Toghiani, Y. Xia, and P. Naik Institute for Clean Energy Technology Mississippi State University May 20,2009 Initial Tank Composition Remove liquid to reflect undrained saltcake Stage 1 Dissolution Remove transfer stream 1 liquids transfer stream 0 liquids recycle solids liquids transfer stream 1 liquids recycle solids Next Stage of Dissolution DWPF recycle Thermodynamic Modeling Studies 2 Overview of Presentation * Database Activities and Needs * C farm retrievals and neural network development * Thermodynamic data and computational methods for liquid waste flowsheet modeling (SRS) * Aluminum solubility studies Thermodynamic Modeling Studies 3 Database Activities and Needs * Earlier a mid-term study addressed the solubility of a number of systems if
model | OpenEI
model model Dataset Summary Description NREL's Research and Support Facility (RSF) energy model for 2011. Source NREL Date Released February 07th, 2013 (10 months ago) Date Updated Unknown Keywords 2011 energy model NREL RSF Data text/csv icon rsf_energy_model_2011.csv (csv, 772 KiB) Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Time Period License License Open Data Commons Attribution License Comment Rate this dataset Usefulness of the metadata Average vote Your vote Usefulness of the dataset Average vote Your vote Ease of access Average vote Your vote Overall rating Average vote Your vote Comments Login or register to post comments If you rate this dataset, your published comment will include your rating. Dataset Summary Description
Analytical Modeling | Open Energy Information
Analytical Modeling Analytical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Analytical Modeling Details Activities (1) Areas (1) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Hydrological: Thermal: Dictionary.png Analytical Modeling: A mathematical modeling technique used for simulating, explaining, and making predictions about the mechanisms involved in complex physical processes. Other definitions:Wikipedia Reegle Introduction Analytical models are mathematical models that have a closed form solution. Or in other words the solution to the equations used to describe changes in
Modelling the carbon system
ABSTRACT. Claims that forest cutting (luring the last few decades has contributed significantly to the buildup in atmospheric CO2 have cast doubt on the validity of models used to estimate CO. uptake by the ocean. In this paper we review the existing models and conclude that the box-diffusion model of Oeschger and his co-workers provides an excellent fit to the average distributions of natural and bomb-produced radiocarbon. We also take the first steps toward a more detailed ocean model which takes into account upwelling in the equatorial zone and deep water formation in the polar zone. The model is calibrated using the distribution of bomb-produced and cosmic ray-produced radiocarbon in the ocean. Preliminary calculations indicate that the fossil fuel CO2 uptake by this model will be greater than that by the box-diffusion model of Oeschger and others (1975) but not great enough to accommodate a significant decline in the mass of the terrestrial biosphere over the past two decades.
Wallace S Broecker; Tsung-hung Peng; Richard Engh
SPAR Model Structural Efficiencies
The Nuclear Regulatory Commission (NRC) and the Electric Power Research Institute (EPRI) are supporting initiatives aimed at improving the quality of probabilistic risk assessments (PRAs). Included in these initiatives are the resolution of key technical issues that are have been judged to have the most significant influence on the baseline core damage frequency of the NRC�s Standardized Plant Analysis Risk (SPAR) models and licensee PRA models. Previous work addressed issues associated with support system initiating event analysis and loss of off-site power/station blackout analysis. The key technical issues were: � Development of a standard methodology and implementation of support system initiating events � Treatment of loss of offsite power � Development of standard approach for emergency core cooling following containment failure Some of the related issues were not fully resolved. This project continues the effort to resolve outstanding issues. The work scope was intended to include substantial collaboration with EPRI; however, EPRI has had other higher priority initiatives to support. Therefore this project has addressed SPAR modeling issues. The issues addressed are � SPAR model transparency � Common cause failure modeling deficiencies and approaches � Ac and dc modeling deficiencies and approaches � Instrumentation and control system modeling deficiencies and approaches
John Schroeder; Dan Henry
Category:Modeling Techniques | Open Energy Information
in this category, out of 5 total. A Analytical Modeling C Conceptual Model M Modeling-Computer Simulations N Numerical Modeling P Portfolio Risk Modeling Retrieved from "http:...
Modeling Compressed Turbulence
From ICE to ICF, the effect of mean compression or expansion is important for predicting the state of the turbulence. When developing combustion models, we would like to know the mix state of the reacting species. This involves density and concentration fluctuations. To date, research has focused on the effect of compression on the turbulent kinetic energy. The current work provides constraints to help development and calibration for models of species mixing effects in compressed turbulence. The Cambon, et al., re-scaling has been extended to buoyancy driven turbulence, including the fluctuating density, concentration, and temperature equations. The new scalings give us helpful constraints for developing and validating RANS turbulence models.
Israel, Daniel M. [Los Alamos National Laboratory
Model of detached plasmas
Recently a tokamak plasma was observed in TFTR that was not limited by a limiter or a divertor. A model is proposed to explain this equilibrium, which is called a detached plasma. The model consists of (1) the core plasma where ohmic heating power is lost by anomalous heat conduction and (2) the shell plasma where the heat from the core plasma is radiated away by the atomic processes of impurity ions. A simple scaling law is proposed to test the validity of this model.
Yoshikawa, S.; Chance, M.
Modeling EERE Deployment Programs
The purpose of this report is to compile information and conclusions gathered as part of three separate tasks undertaken as part of the overall project, �Modeling EERE Deployment Programs,� sponsored by the Planning, Analysis, and Evaluation office within the Department of Energy�s Office of Energy Efficiency and Renewable Energy (EERE). The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address improvements to modeling in the near term, and note gaps in knowledge where future research is needed.
Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.
Nonlinear Modelling of Alstom Gasifier Using Wiener Model
A novel nonlinear modelling approach has been developed and implemented on Alstom gasifier using Wiener model. The linear element of the Wiener model was identified by a combined subspace state space method, which integrated MOESP (Multivariable Output-Error ... Keywords: modelling, subspace, wiener model, neural networks, state space methods
Wang Xin; Zhao Liang; Lu Jianhong; Xiang Wenguo
Feature-oriented refinement of models, metamodels and model transformations
Done well, the blend of Model Driven Development (MDD) and Software Product Lines (SPL) offers a promising approach, mixing abstraction from MDD and variability from SPL. Although Model Driven Product Lines have flourished recently, the focus so far ... Keywords: AHEAD, XAK, metamodels, model transformations, modeling, models, refinements
Salvador Trujillo; Ander Zubizarreta; Xabier Mendialdua; Josune de Sosa
Eliciting information for product modeling using process modeling
A product model is a formal and structured definition of product information. The most common procedure for defining a product data model is to first describe the business and/or engineering process in a formal process model, then to create a product ... Keywords: CASE, GTPPM, Information flow, Process model, Product model, STEP
Ghang Lee; Charles M. Eastman; Rafael Sacks
Structural Materials Modeling
Mar 5, 2013 ... Sponsored by: TMS Materials Processing and Manufacturing Division, TMS ... Fei Gao2; Kiran Solanki3; Xin Sun2; 1Mississippi State University; 2PNNL; ... A Multiscale Metal/Hydride Mechanical Model for Used-Fuel Zircaloy�...
Modeling from Physical Principles
This article, on the other hand, shall concentrate on issues relating to modeling the physical plant to be controlled. Modeling physical systems seems to be a straightforward task. Since physical systems and experiments are often reproducible in a reliable fashion, since measurements from physical systems are frequently available in abundance and of high quality, since the meta--laws of physics are mostly well understood, it seems to be a particularly easy task to come up with accurate mathematical descriptions of most physical plants. Yet, there are some typical pitfalls and frequent misconceptions about the modeling of physical systems, especially among control engineers. These shall be illustrated, and a sound methodological basis for modeling from physical principles shall then be created. 2 Common Misconceptions
Fran�ois E. Cellier; Hilding Elmqvist; Martin Otter
Modeling Investment Castings
Once the finite-element meshes of the metal, mold, mold wrap, and furnace are created, they are assembled into a final model as shown in Figure 6. It is then�...
Search by Model
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Session 12: Modelling
May 24, 2013 ... Magnesium Workshop Madrid 2013: Session 12: Modelling - I ... that uses first- principles input on solute/basal-dislocation interaction energies [2]. ... integrated open-source software, collaborative community building and The�...
Self modelling knowledge networks
What the scope of knowledge management (KM) is concerned, the focus of attention is shifting towards inter-organisational aspects resulting in new requirements for the KM process. This paper introduces the concept of self modelling knowledge networks ...
Volker Derballa; Antonia Albani
Thermodynamic and Kinetic Modeling
Oct 11, 2012... capability of the coating and thus the achievable engine efficiency. ... Aluminide coating of steels enables more efficient power generation through ... and kinetic modeling in order to build a time and temperature dependent�...
Opponent modeling in poker
Poker is an interesting test-bed for artificial intelligence research. It is a game of imperfect knowledge, where multiple competing agents must deal with risk management, agent modeling, unreliable information and deception, much like decision-making ...
Darse Billings; Denis Papp; Jonathan Schaeffer; Duane Szafron
Updating Applied Diffusion Models
Most diffusion models currently used in air quality applications are substantially out of date with understanding of turbulence and diffusion in the planetary boundary layer. Under a Cooperative Agreement with the Environmental Protection Agency, ...
J. C. Weil
Kirkpatrick's Learning Evaluation Model
Energy.gov (U.S. Department of Energy (DOE))
One of the core principles of training evaluation is the model based on four sequential levels that was developed by Donald Kirkpatrick. The levels, 1) Reaction, 2) Learning, 3) Behavior, and 4)...
Modeling & Simulation publications
Modeling & Simulation » Modeling & Simulation » Modeling & Simulation Publications Modeling & Simulation publications Research into alternative forms of energy, especially energy security, is one of the major national security imperatives of this century. Get Expertise David Harradine Physical Chemistry and Applied Spectroscopy Email Josh Smith Chemistry Email The inherent knowledge of transformation has beguiled sorcerers and scientists alike. D.A. Horner, F. Lambert, J.D. Kress, and L.A. Collins, "Transport properties of lithium hydride from quantum molecular dynamics and orbital-free molecular dynamics," Physical Review B - Condensed Matter and Materials Physics 80(2) (2009). J.D. Kress, D.A. Horner, and L.A. Collins, "Mixing rules for optical and transport properties of warm, dense matter," AIP Conference Proceedings 1195, 931-934 (2009).
Single-Column Modeling
C.J. Somerville and S. F. lacobellis C.J. Somerville and S. F. lacobellis Climate Research Division Scripps Institution of Oceanography University of California, San Diego La Jolla, CA 92093-0224 Our project is centered around a computationally efficient and economical one-dimensional (vertical) model, resembling a single column of a general circulation model (GCM) grid, applied to the experimental site of the Atmospheric Radiation Measurement (ARM) Program. The model contains a full set of modern GCM parameterizations of subgrid physical processes. To force the model, the advective terms in the budget equations are specified observationally from operational numerical weather prediction analyses. These analyses, based on four-dimensional data assimilation techniques, provide dynamically consistent wind fields and horizontal gradients
Theory Modeling and Simulation
Los Alamos has a long history in theory, modeling and simulation. We focus on multidisciplinary teams that tackle complex problems. Theory, modeling and simulation are tools to solve problems just like an NMR spectrometer, a gas chromatograph or an electron microscope. Problems should be used to define the theoretical tools needed and not the other way around. Best results occur when theory and experiments are working together in a team.
Shlachter, Jack [Los Alamos National Laboratory
Models of multiquark states
The success of simple constituent quark models in single-hardon physics and their failure in multiquark physics is discussed, emphasizing the relation between meson and baryon spectra, hidden color and the color matrix, breakup decay modes, coupled channels, and hadron-hadron interactions via flipping and tunneling of flux tubes. Model-independent predictions for possible multiquark bound states are considered and the most promising candidates suggested. A quark approach to baryon-baryon interactions is discussed.
Lipkin, H.J.
Common Information Model Primer
The Common Information Model (CIM) Primer explains the basics of the CIM (IEC 61970, IEC 61968, and IEC 62325). Starting with a historical perspective, it describes how the CIM originated and grew through the years. The functions of various working groups of Technical Committee 57 of the International Electrotechnical Commission (IEC) are described. The process of how an IEC standard is created is also outlined. The basics of the Unified Modeling Language (UML) are detailed to introduce the reader to the...
Geysers injection modeling
Our research is concerned with mathematical modeling techniques for engineering design and optimization of water injection in vapor-dominated systems. The emphasis in the project has been on the understanding of physical processes and mechanisms during injection, applications to field problems, and on transfer of numerical simulation capabilities to the geothermal community. This overview summarizes recent work on modeling injection interference in the Southeast Geysers, and on improving the description of two-phase flow processes in heterogeneous media.
Pruess, K.
Das Standard Modell
Model Model Was ist fundamental? Das Standard Modell Physiker haben eine Theorie - Das Standard Modell - entwickelt, welche erklärt, woraus die Welt besteht und was sie zusammenhält. Es ist eine einfache und überzeugende Theorie, welche hunderte von Teilchen und ihre gegenseitigen Wechselwirkungen erklärt. Dazu braucht sie nur wenige elementare Teilchen : 6 Quarks. 6 Leptonen. Das bekannteste Lepton ist das Elektron. Wir reden gleich von Leptonen. Kraft-Träger Teilchen, wie z.B. das Photon. Wir werden später über diese Teilchen reden. Alle bekannten materiellenTeilchen sind aus Quarks und Leptonen zusammengesetzt und sie wechselwirken untereinander durch den Austausch von Kraft-Träger Teilchen. Das Standard Modell ist eine gute Theorie. Eine grosse Zahl von Experimenten haben ihre Voraussagen mit unglaublicher Präzision bestätigt und alle Teilchen, welche die Theorie bis heute vorausgesagt hat, wurden auch gefunden. Aber die Theorie kann nicht alles erklären. Die Schwerkraft zum Beispiel ist nicht im Standard Modell eingeschlossen.
Statistical Alignment Models for . . .
The ever-increasing amount of parallel data opens a rich resource to multilingual natural language processing, enabling models to work on various translational aspects like detailed human annotations, syntax and semantics. With efficient statistical models, many cross-language applications have seen significant progresses in recent years, such as statistical machine trans-lation, speech-to-speech translation, cross-lingual information retrieval and bilingual lexicog-raphy. However, the current state-of-the-art statistical translation models rely heavily on the word-level mixture models � a bottleneck, which fails to represent the rich varieties and depen-dencies in translations. In contrast to word-based translations, phrase-based models are more robust in capturing various translation phenomena than the word-level (e.g., local word reordering), and less susceptive to the errors from preprocessing such as word segmentations and tok-enizations. Leveraging phrase level knowledge in translation models is challenging yet reward-ing: it also brings significant improvements on translation qualities. Above the phrase-level are
Bing Zhao
Learning planar ising models
Inference and learning of graphical models are both well-studied problems in statistics and machine learning that have found many applications in science and engineering. However, exact inference is intractable in general graphical models, which suggests the problem of seeking the best approximation to a collection of random variables within some tractable family of graphical models. In this paper, we focus our attention on the class of planar Ising models, for which inference is tractable using techniques of statistical physics [Kac and Ward; Kasteleyn]. Based on these techniques and recent methods for planarity testing and planar embedding [Chrobak and Payne], we propose a simple greedy algorithm for learning the best planar Ising model to approximate an arbitrary collection of binary random variables (possibly from sample data). Given the set of all pairwise correlations among variables, we select a planar graph and optimal planar Ising model defined on this graph to best approximate that set of correlations. We present the results of numerical experiments evaluating the performance of our algorithm.
Johnson, Jason K [Los Alamos National Laboratory; Chertkov, Michael [Los Alamos National Laboratory; Netrapalli, Praneeth [STUDENT UT AUSTIN
Modeling Capacity Reservation Contract
In this paper we model a scenario where a chip designer (buyer) buys capacity from chip manufacturers (suppliers) in the presence of demand uncertainty faced by the buyer. We assume that the buyer knows the probability distribution of his demand. The supplier offers the buyer to reserve capacity in advance at a price that is lower than the historical average of the spot price. The supplier�s price (if the buyer reserves capacity in advance) is function of her capacity, demand for her capacity, unit production cost, the average spot market price and the amount of capacity reserved by the buyer. Based on these parameters we derive the price the suppliers will charge. We formulate the problem from the buyer�s perspective. The buyer�s decisions are how much capacity to reserve and from how many suppliers. The optimal solution is obtained numerically. Our model addresses the following issues that are not covered in the current literature on capacity reservation models. In the existing literature the supplier�s price is an exogenous parameter. We model the supplier�s price from relevant parameters mentioned above. This makes our model richer. For example, if the expected capacity utilization for the supplier is likely to be low then the supplier will charge a lower price for capacity reservation. In reality, the buyer sources from multiple suppliers. Most mathematical models on capacity reservation, we are aware of, assumes a single buyer and a single supplier. We generalize this to a single buyer and multiple suppliers.
Jishnu Hazra; B. Mahadevan; Sudhi Seshadri
Systems Modeling | ornl.gov
Computational Physics Communication Networks and Technologies Modeling and Simulation Innovative Signal Processing Algorithms Advanced Control Systems Econometrics Engineering Analysis Behavioral Sciences Geographic Information Science and Technology Quantum Information Science Supercomputing and Computation Home | Science & Discovery | Supercomputing and Computation | Research Areas | Systems Modeling SHARE Systems Modeling System modeling is the interdisciplinary study of the use of models to conceptualize and construct systems. A common type of systems modeling is function modeling, with specific techniques such as the functional flow block diagram. These models can be extended using functional decomposition, and can be linked to requirements models for further systems
Modeling Global Lightning Distributions in a General Circulation Model
A general circulation model (GCM) is used to model global lightning distributions and frequencies. Both total and cloud-to-ground lightning frequencies are modeled using parameterizations that relate the depth of convective clouds to lightning ...
Colin Price; David Rind
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.
Probit Model Estimation Revisited: Trinomial Models of Household Car Ownership
Household Ownership of Car Davidon, W. C. (1959) VariableStudy Report 9: Models of Car Ownership and License Holding.Trinomial Models of Household Car Ownership. Transportation
Bunch, David S.; Kitamura, Ryuichi
Ozone Modeling Using Neural Networks
Ozone models for the city of Tulsa were developed using neural network modeling techniques. The neural models were developed using meteorological data from the Oklahoma Mesonet and ozone, nitric oxide, and nitrogen dioxide (NO2) data from ...
Ramesh Narasimhan; Joleen Keller; Ganesh Subramaniam; Eric Raasch; Brandon Croley; Kathleen Duncan; William T. Potter
The Geometry of Model Error
This paper investigates the nature of model error in complex deterministic nonlinear systems such as weather forecasting models. Forecasting systems incorporate two components, a forecast model and a data assimilation method. The latter projects ...
Kevin Judd; Carolyn A. Reynolds; Thomas E. Rosmond; Leonard A. Smith
Computing and fabricating multilayer models
We present a method for automatically converting a digital 3D model into a multilayer model: a parallel stack of high-resolution 2D images embedded within a semi-transparent medium. Multilayer models can be produced quickly ...
Holroyd, Michael
Climate Modeling with Spectral Elements
As an effort toward improving climate model�component performance and accuracy, an atmospheric-component climate model has been developed, entitled the Spectral Element Atmospheric Climate Model and denoted as CAM_SEM. CAM_SEM includes a unique ...
Ferdinand Baer; Houjun Wang; Joseph J. Tribbia; Aim� Fournier
Performance of NMC's Regional Models
This paper details the performance characteristics of the two regional dynamical models used at the National Meteorological Center to forecast for North America. Strengths and weaknesses of these models�the limited-area fine-mesh (LFM) model and ...
Norman W. Junker; James E. Hoke; Richard H. Grumm
Coreference-inspired coherence modeling
Research on coreference resolution and summarization has modeled the way entities are realized as concrete phrases in discourse. In particular there exist models of the noun phrase syntax used for discourse-new versus discourse-old referents, and models ...
Micha Elsner; Eugene Charniak
Piecewise Linear Modeling and Analysis
From the Publisher:Piecewise Linear Modeling and Analysis explains in detail all possible model descriptions to efficiently store piecewise linear functions starting with the Chua descriptions. Detailed explanation on how the model parameter can be obtained ...
Domine M. W. Leenaerts; Wim M. Van Bokhoven
Linear Solar Models
We present a new approach to study the properties of the sun. We consider small variations of the physical and chemical properties of the sun with respect to Standard Solar Model predictions and we linearize the structure equations to relate them to the properties of the solar plasma. By assuming that the (variation of) the present solar composition can be estimated from the (variation of) the nuclear reaction rates and elemental diffusion efficiency in the present sun, we obtain a linear system of ordinary differential equations which can be used to calculate the response of the sun to an arbitrary modification of the input parameters (opacity, cross sections, etc.). This new approach is intended to be a complement to the traditional methods for solar model calculation and allows to investigate in a more efficient and transparent way the role of parameters and assumptions in solar model construction. We verify that these Linear Solar Models recover the predictions of the traditional solar models with an high...
Villante, F L
Radmodl Modeling Manual
RADMODL is a set of computer codes that model the transport of material through a network of interconnected compartments. This version of RADMODL is designed to model the transport of radioactive material from either a loss of coolant accident (LOCA) or a fuel handling accident into a set of interconnected compartments and determine the equivalent dose each compartment will see for the duration of the accident. The code is flexible enough to allow modeling of other types of materials and their dilution/dispersion during transport by designing a new set of input files corresponding to the facility layout and the dilution/dispersion factors. This report documents the issuance of the Modeling Manual, originally developed by EGS Corporation and ISSI as volume 1 of the Programmer`s Manual, with the incorporation of minor editorial comments. Though a Modeling Manual in itself is not required for the RADMODL code certification, this manual does contain information that is required for the one of the requirements for code User`s Manual and hence certification.
Murphy, S.L.; Stevens, K.A.; Weister, T.E.
Supersymmetric leptophilic Higgs model
In the leptophilic model, one Higgs doublet couples to quarks and another couples to leptons. We study the supersymmetric version of this model, concentrating on the tightly constrained Higgs sector, which has four doublets. Constraints from perturbativity, unitarity, and LEP bounds are considered. It is found that the lightest Higgs, h, can have a mass well below 114 GeV, and for masses below 100 GeV will have a substantially enhanced branching ratio into {tau} pairs. For this region of parameter space, traditional production mechanisms (Higgs-strahlung, W fusion, and gluon fusion) are suppressed, but it may be produced in the decay of heavier particles. The second lightest Higgs has a mass of approximately 110 GeV for virtually all of parameter space, with standard model couplings, and thus an increase of a few GeV in the current lower bound on the standard model Higgs mass would rule out the model. The two heavier Higgs are both gauge phobic, one decays almost entirely into bb and can be produced via gluon fusion while the other decays almost entirely into {tau}{sup +}{tau}{sup -} but cannot be easily produced.
Marshall, Gardner; Sher, Marc [Particle Theory Group, Department of Physics, College of William and Mary, Williamsburg, Virginia 23187 (United States)
Advanced Chemistry Basins Model
The objective of this project is to: (1) Develop a database of additional and better maturity indicators for paleo-heat flow calibration; (2) Develop maturation models capable of predicting the chemical composition of hydrocarbons produced by a specific kerogen as a function of maturity, heating rate, etc.; assemble a compositional kinetic database of representative kerogens; (3) Develop a 4 phase equation of state-flash model that can define the physical properties (viscosity, density, etc.) of the products of kerogen maturation, and phase transitions that occur along secondary migration pathways; (4) Build a conventional basin model and incorporate new maturity indicators and data bases in a user-friendly way; (5) Develop an algorithm which combines the volume change and viscosities of the compositional maturation model to predict the chemistry of the hydrocarbons that will be expelled from the kerogen to the secondary migration pathways; (6) Develop an algorithm that predicts the flow of hydrocarbons along secondary migration pathways, accounts for mixing of miscible hydrocarbon components along the pathway, and calculates the phase fractionation that will occur as the hydrocarbons move upward down the geothermal and fluid pressure gradients in the basin; and (7) Integrate the above components into a functional model implemented on a PC or low cost workstation.
Blanco, Mario; Cathles, Lawrence; Manhardt, Paul; Meulbroek, Peter; Tang, Yongchun
WEC Model Development at Sandia
2C 2C Marine and Hydrokinetic Instrumentation, Measurement & Computer Modeling Workshop - Broomfield, CO July 9 th , 2012 Wave Energy Converter Model Development at Sandia Outline Overview of SNL's WEC Modeling Activities * Wave Energy Development Roadmap * MHK Reference Models - Diana Bull * WEC Model Tool Development - Kelley Ruehl Reference Models and SNL Array Modeling presented in next session Wave Energy Development Roadmap Overall Goal and Motivation Goal: Develop a suggested path for WEC development from design to commercialization. Motivation: Guide industry towards successful design optimizations, prototype deployments, and utility scale commercialization by providing a roadmap incorporating numerical modeling and experimentation.
Transport Properties for Combustion Modeling
Transport Properties for Combustion Modeling Title Transport Properties for Combustion Modeling Publication Type Journal Article Year of Publication 2011 Authors Brown, Nancy J.,...
Introduction to Materials Modelling - TMS
Oct 23, 2006... simply described by modeling, even if it involves fundamental ideas ... least Handbook of Materials Modelling (2005) by Sidney Yip (editor).
Business models of information aggregators
This thesis identifies the specific characteristics of information aggregators, and proposes nine business models appropriate for information aggregators. These nine models are: advertising, brokerage, subscription, ...
Hu, Jiangxia, S.M. Massachusetts Institute of Technology
High Performance Computing: Modeling & Simulation
High Performance Computing: Modeling & Simulation High Performance Computing: Modeling & Simulation Express Licensing Adaptive Real-Time Methodology for Optimizing Energy-Efficient...
Improved MK42 Melting Model
An improved Mark 42 melting model has been defined for establishing confinement protection limits (CPLs). This report describes the new melting model and its application in computing CPLs.
Tudor, A.A.
Macro-System Model Overview
Such a macro-system model is critical to assessing the transition from the existing energy infrastructure to one including hydrogen. Individual models spanning a wide range of...
GIS-Based Infrastructure Modeling
GIS-Based Infrastructure Modeling Hydrogen Scenario Meeting August 9-10, 2006 Keith Parks, NREL GIS-Based Infrastructure Modeling * Station Analysis - Selection Criteria - Los...
Numerical Modeling | Open Energy Information
Numerical Modeling Numerical Modeling Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Technique: Numerical Modeling Details Activities (8) Areas (2) Regions (0) NEPA(0) Exploration Technique Information Exploration Group: Data and Modeling Techniques Exploration Sub Group: Modeling Techniques Parent Exploration Technique: Modeling Techniques Information Provided by Technique Lithology: Stratigraphic/Structural: Stress fields and magnitudes Hydrological: Visualization and prediction of the flow patterns and characteristics of geothermal fluids Thermal: Thermal conduction and convection patterns in the subsurface Dictionary.png Numerical Modeling: A computer model that is designed to simulate and reproduce the mechanisms of a particular system. Other definitions:Wikipedia Reegle
Standard Model Holdout INSIDE
May 2, 1997 May 2, 1997 Number 9 f Searching for the Standard Model Holdout INSIDE 2 University Close-Up: Pisa 5 Facilities Managers' Meeting 6 Birth of a Bison Photo by Reidar Hahn An international collaboration at Fermilab sets out to observe the elusive tau neutrino. by Donald Sena, Office of Public Affairs When two collaborations announced the discovery of the top quark at Fermi National Accelerator Laboratory in 1995, many news outlets erroneously reported that the last remaining piece of the current theory of matter and energy, known as the Standard Model, had been found. What reporters and even a few physicists forgot is that the elusive tau neutrino, while firmly entrenched in the Standard Model, has never been directly observed. In the early 1980s, there was one minor attempt to find the tau neutrino
Ocean General Circulation Models
1. Definition of Subject The purpose of this text is to provide an introduction to aspects of oceanic general circulation models (OGCMs), an important component of Climate System or Earth System Model (ESM). The role of the ocean in ESMs is described in Chapter XX (EDITOR: PLEASE FIND THE COUPLED CLIMATE or EARTH SYSTEM MODELING CHAPTERS). The emerging need for understanding the Earth�s climate system and especially projecting its future evolution has encouraged scientists to explore the dynamical, physical, and biogeochemical processes in the ocean. Understanding the role of these processes in the climate system is an interesting and challenging scientific subject. For example, a research question how much extra heat or CO2 generated by anthropogenic activities can be stored in the deep ocean is not only scientifically interesting but also important in projecting future climate of the earth. Thus, OGCMs have been developed and applied to investigate the various oceanic processes and their role in the climate system.
Yoon, Jin-Ho; Ma, Po-Lun
Parametric Explosion Spectral Model
Small underground nuclear explosions need to be confidently detected, identified, and characterized in regions of the world where they have never before occurred. We develop a parametric model of the nuclear explosion seismic source spectrum derived from regional phases that is compatible with earthquake-based geometrical spreading and attenuation. Earthquake spectra are fit with a generalized version of the Brune spectrum, which is a three-parameter model that describes the long-period level, corner-frequency, and spectral slope at high-frequencies. Explosion spectra can be fit with similar spectral models whose parameters are then correlated with near-source geology and containment conditions. We observe a correlation of high gas-porosity (low-strength) with increased spectral slope. The relationship between the parametric equations and the geologic and containment conditions will assist in our physical understanding of the nuclear explosion source.
Ford, S R; Walter, W R
Three dimensional magnetotelluric modeling
A three-dimensional (3D) volume integral equation solution was refined and adapted to magnetotelluric (MT) modeling. The refinement, incorporating an integro-difference scheme, increases the accuracy somewhat without increasing the computer time. Utilizing the two symmetry planes for a plane wave source decreases the computer storage by a factor of 8 and greatly reduces the computer time. Convergence checks and comparisons with other solutions show that our results are valid. Because of space charges at resistivity boundaries, low-frequency 3D responses are much different from 1D and 2D responses. Hence 3D models are required for interpreting MT data in the complex geothermal environment.
Hohmann, G.W.; Ting, S.C.
Travel Demand Modeling
This chapter describes the principal types of both passenger and freight demand models in use today, providing a brief history of model development supported by references to a number of popular texts on the subject, and directing the reader to papers covering some of the more recent technical developments in the area. Over the past half century a variety of methods have been used to estimate and forecast travel demands, drawing concepts from economic/utility maximization theory, transportation system optimization and spatial interaction theory, using and often combining solution techniques as varied as Box-Jenkins methods, non-linear multivariate regression, non-linear mathematical programming, and agent-based microsimulation.
Southworth, Frank [ORNL; Garrow, Dr. Laurie [Georgia Institute of Technology
Multiphase Flow Modeling Research
Science Science Chris Guenther, Director Computational Science Division RUA Spring Meeting, Morgantown, WV March 2013 2 NETL's Multiphase Flow Science Team * The Multiphase Flow Science Team develops physics-based simulation models to conduct applied scientific research. - Development of new theory - Extensive on-site and collaborative V&V efforts and testing - Engages in technology transfer - Applies the models to industrial scale problems. 3 Why is Multiphase Flow Science Needed? * Industry is increasingly relying on multiphase technologies to produce clean and affordable energy with carbon capture. * Unfortunately, the presence of a solid phase reduces the operating capacity of a typical energy device from its original design on average by 40% [1].
Oil and Gas Supply Module (OGSM)
DRI Model of the U.S. Economy -- Model Documentation:
Provides documentation on Data Resources, Inc., DRI Model of the U.S. Economy and the DRI Personal Computer Input/Output Model. It also describes the theoretical basis, structure and functions of both DRI models; and contains brief descriptions of the models and their equations.
Map algebra and model algebra for integrated model building
Computer models are important tools for the assessment of environmental systems. A seamless workflow of construction and coupling of model components is essential for environmental scientists. However, currently available software packages are often ... Keywords: Biomass-harvest model, Component-based modelling, PCRaster, Python, Spatio-temporal simulation
Oliver Schmitz, Derek Karssenberg, Kor De Jong, Jean-Luc De Kok, Steven M. De Jong
TDE Ecosystem Model Intercomparison Data Archive: Model Descriptions
Model Descriptions Model Descriptions BGC++ BIOME-BGC CANOAK EALCO ecosys INTRASTAND LaRS LINKAGES v2.1 LoTEC MAESTRA NuCM PnET II SPA Literature Cited A total of 13 models were used in this study covering a range of temporal scales, spatial complexity, and mechanistic detail (Figure 1). Eight of the models (8) used an hourly time step, four models used a daily time step, and only one model used a monthly time step (i.e., PnET-II). Most models provided estimates for both stand carbon and water budgets, but other were limited to either the carbon (MAESTRA) or water (LINKAGES and NuCM) budgets. The most mechanistically complex models (ecosys, CLASS, LaRS, and CANOAK) also used a complete energy balance. A brief description of each of the models is provided below. BGC++ The BGC++ model (Hunt et al. 1999) simulates carbon, nitrogen, and
Integration of EBS Models with Generic Disposal System Models | Department
Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models Integration of EBS Models with Generic Disposal System Models This report summarizes research activities on engineered barrier system (EBS) model integration with the generic disposal system model (GDSM), and used fuel degradation and radionuclide mobilization (RM) in support of the EBS evaluation and tool development within the Used Fuel Disposition campaign. This report addresses: predictive model capability for used nuclear fuel degradation based on electrochemical and thermodynamic principles, radiolysis model to evaluate the U(VI)-H2O-CO2 system, steps towards the evaluation of uranium alteration products, discussion of instant release fraction (IRF) of radionuclides from the nuclear fuel, and
Modelling geomagnetic activity data
Strong geomagnetic activity is a hazard to electronics and electric power facilities. Assessment of the actual geomagnetic activity level from local magnetometer monitoring therefore is of importance for risk assessment but also in earth sciences and ... Keywords: geomagnetism, neuro fuzzy modelling, self organizing map, signal processing, wavelets
Ernst D. Schmitter
Scalable formal machine models
In the past few years, we have seen machine-checked proofs of relatively large software systems, including compilers and micro-kernels. But like all formal arguments, the assurance gained by these mechanical proofs is only as good as the models we construct ...
Greg Morrisett
Modeling 18� Water Variability
Variability of 18� Water formation is investigated with an isopycnic-coordinate model of the North Atlantic. A 30-year spinup integration is used as a �control� experiment in which the upper water column in the Sargasso Sea is shown to be in ...
Robert Marsh; Adrian L. New
Decision Superiority Process Model
Decision superiority is achieved not just by acquiring and assessing the right information, but by translating it into actionable knowledge that can be exploited in the decision making process. Achieving decision superiority is necessary, because the ... Keywords: context-goal alternatives, decision making process, decision superiority, process model
Barbara Sorensen; Azad M. Madni; Carla C. Madni
Morphable Surface Models
We describe a novel automatic technique for finding a dense correspondence between a pair of n-dimensional surfaces with arbitrary topologies. This method employs a different formulation than previous correspondence algorithms (such as optical ... Keywords: computer vision, correspondence, learning, morphable models, surface matching
Christian R. Shelton