National Library of Energy BETA

Sample records for alerts analyst model

  1. Alerts

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Alerts Alerts Setup alerts to keep up with the latest literature in your field, manage your citations, and MORE! Questions? 505-667-5809 Email Keep current with the latest research on a topic Receive the table of contents of your favorite journal See who has cited a paper or author Web of Knowledge : Alerts for Biosis, Inspec, and Web of Science databases HOW TO: Saved Search alert: Select a database (see above) Execute a search Click Search History Click Save History / Create Alert Login Fill

  2. Operations Research Analysts

    U.S. Energy Information Administration (EIA) Indexed Site

    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

  3. Program Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as an Program Analyst for the System Operations team in the area of regulatory compliance. The successful candidate will also become a subject...

  4. Program Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will Identify and document technical assistance and education models and practices. Facilitate information sharing and develop collaborative solutions....

  5. MANAGEMENT ALERT

    Broader source: Energy.gov (indexed) [DOE]

    COMMISSION FROM: Gregory H. Friedman Inspector General SUBJECT: INFORMATION: Management Alert: Review of Allegations of Improper Disclosure of Confidential, Nonpublic...

  6. Program Analyst (Transportation Safety)

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a Program Analyst(Transportation Safety) supporting and advising management on safety and health matters for nuclear and non-nuclear activities.

  7. Semantic Space Analyst

    Energy Science and Technology Software Center (OSTI)

    2004-04-15

    The Semantic Space Analyst (SSA) is software for analyzing a text corpus, discovering relationships among terms, and allowing the user to explore that information in different ways. It includes features for displaying and laying out terms and relationships visually, for generating such maps from manual queries, for discovering differences between corpora. Data can also be exported to Microsoft Excel.

  8. Insider Alert 1.0 Beta Version

    Energy Science and Technology Software Center (OSTI)

    2004-02-01

    Insider Alert 1.0 Beta Version supports interactive selection and graphical display of data generated by the Sandia Cognitive Framework, which simulates the examination of security data by experts of various specialties. Insider Alert also encompasses the configuration and data files input to the Cognitive Framework for this application. Insider Alert 1.0 Beta Version is a computer program for analyzing data indicative of possible espionage or improper handling of data by employees at Sandia National Laboratoriesmore » (or other facilities with comparable policies and procedures for managing sensitive information) It prioritizes and displays information for review by security analysts.« less

  9. Supervisory Operations Research Analyst | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Supervisory Operations Research Analyst Supervisory Operations Research Analyst Submitted by admin on Sat, 2016-01-16 00:16 Job Summary Organization Name Department Of Energy...

  10. Student Trainee (Operations Research Analyst) | Department of...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Student Trainee (Operations Research Analyst) Student Trainee (Operations Research Analyst) Submitted by admin on Fri, 2016-01-08 00:16 Job Summary Organization Name Department Of ...

  11. Energy Citations Database (ECD) - Alerts Help

    Office of Scientific and Technical Information (OSTI)

    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...

  12. Hydrogen Delivery Analysis Plus Meeting: DTT, STT, HPTT, Other Analysts,

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Invited Guests | Department of Energy Plus Meeting: DTT, STT, HPTT, Other Analysts, Invited Guests Hydrogen Delivery Analysis Plus Meeting: DTT, STT, HPTT, Other Analysts, Invited Guests Presentation at the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007 deliv_analysis_paster.pdf (318.86 KB) More Documents & Publications Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007,

  13. Budget Analyst (Recent Graduate) | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Budget Analyst (Recent Graduate) Budget Analyst (Recent Graduate) Submitted by admin on Sat, 2016-01-16 00:16 Job Summary Organization Name Department Of Energy Agency SubElement...

  14. Career Map: Analyst/Researcher | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Analyst/Researcher Career Map: Analyst/Researcher An analyst researcher explains a rendering of wind turbine flow patterns in a large, lighted diagram. Analyst/Researcher Position Title Analyst/Researcher Alternate Title(s) Research Analyst, Technical Analyst, Policy Analyst, Market Research Analyst Education & Training Level Bachelor's degree required, prefer graduate degree Education & Training Level Description A bachelor's degree is required for entry level positions. Researchers can

  15. Global Industry Analysts | Open Energy Information

    Open Energy Info (EERE)

    search Name: Global Industry Analysts Address: 6150 Hellyer Avenue Place: San Jose, California Zip: 95138 Region: Bay Area Product: Market research services Year Founded:...

  16. Patricia Hagerty, Aviation Program Analyst - Bio | Department...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Patricia Hagerty, Aviation Program Analyst - Bio HagertyPatPersonalProfile.pdf (10.55 KB) More Documents & Publications Ferrin Moore, Senior Aviation Policy Officer - Bio ...

  17. De-Alerting and De-Activating Strategic Nuclear Weapons

    SciTech Connect (OSTI)

    KARAS, THOMAS H.

    2001-04-01

    Despite the end of the Cold War, the US and Russia continue to maintain their ICBMs and many SLBMs in a highly alerted state--they are technically prepared to launch the missiles within minutes of a command decision to do so. Some analysts argue that, particularly in light of the distressed condition of the Russian military, these high alert conditions are tantamount to standing on the edge of a nuclear cliff from which we should now step back. They have proposed various bilateral ''de-alerting'' measures, to be taken prior to and outside the context of the formal strategic arms reduction treaty (START) process. This paper identifies several criteria for a stable de-alerting regime, but fails to find de-alerting measures that convincingly satisfy the criteria. However, some de-alerting measures have promise as de-activation measures for systems due for elimination under the START II and prospective START III treaties. Moreover, once these systems are deactivated, a considerable part of the perceived need to keep nuclear forces on high alert as a survivability hedge will be reduced. At the same time, the U.S. and Russia could consider building on their earlier cooperative actions to reduce the risk of inadvertent nuclear war by enhancing their communications links and possibly joining in efforts to improve early warning systems.

  18. Recent Graduate Energy Industry Analyst | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Recent Graduate Energy Industry Analyst Recent Graduate Energy Industry Analyst Submitted ... (OEMR) in one of the three regional Electric Power Regulation Divisions (East, ...

  19. Energy Citations Database (ECD) - Alerts FAQ

    Office of Scientific and Technical Information (OSTI)

    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...

  20. Energy Citations Database (ECD) - Alerts Log On

    Office of Scientific and Technical Information (OSTI)

    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...

  1. Energy Citations Database (ECD) - Alerts Log On

    Office of Scientific and Technical Information (OSTI)

    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 an Alert and...

  2. Microsoft PowerPoint - EIA Presentation 04.26.11.ppt [Read-Only...

    Gasoline and Diesel Fuel Update (EIA)

    DISCLOSURE APPENDIX CONTAINS IMPORTANT DISCLOSURES, ANALYST CERTIFICATIONS, INFORMATION ON TRADE ALERTS, ANALYST MODEL PORTFOLIOS AND THE STATUS OF NON- U.S ANALYSTS. FOR OTHER ...

  3. Energy Citations Database (ECD) - Alerts Registration

    Office of Scientific and Technical Information (OSTI)

    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...

  4. Energy Citations Database (ECD) - Alerts Comments

    Office of Scientific and Technical Information (OSTI)

    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...

  5. NREL Analyst Honored with WREC Pioneer Award - News Releases | NREL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Analyst Honored with WREC Pioneer Award September 6, 2006 Photo of Barbara Farhar Barbara Farhar Barbara Farhar, senior policy analyst with the U.S. Department of Energy's (DOE) National Renewable Energy Laboratory (NREL), received a 2006 Pioneer Award at the World Renewable Energy Congress (WREC) on Aug. 23 in Florence, Italy. The Pioneer Awards honor individuals for their contribution to advancing renewable energy through research, teaching and promotion. Farhar was recognized for her

  6. Email Alerts - DOE Directives, Delegations, and Requirements

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Email Alerts by Diane Johnson Use this form to subscribe/unsubscribe to email alerts. Please select the type of email alert that you would like to receive. Your Name Please enter your name Your E-Mail Address Select the items you wish to receive notifications for. Type of Alert Please indicate below what type of email alert you would like to receive. Choose all that apply. New Final Directives New Draft Directives Both - New Final/Draft Directives Approved Justification Memos Unsubscribe Submit

  7. Sandia Analyst Aide V0.5

    Energy Science and Technology Software Center (OSTI)

    2005-05-06

    Allow people to analyze the contents of text document, allowing the user to generate: I. automated reports providing information about various aspects of the document set 2. produce models which can be uploaded into Sandia's cognitive model framework 3. produce visualization of various aspects of the document set, including relationships among key terms 4. compute various topical contexts discovered within the document set 5. start a web spider which can scour the web for moremore » information about the topics found in the document set« less

  8. Improving the Quality of Alerts and Predicting Intruder's Next Goal with Hidden Colored Petri-Net

    SciTech Connect (OSTI)

    Yu, Dong; Frincke, Deb A.

    2006-06-22

    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.

  9. E-print Network Alerts Help -- Energy, science, and technology...

    Office of Scientific and Technical Information (OSTI)

    Alert Email Format: You can choose either HTML or TEXT email format. Alert Frequency: Choose how often to receive your Alert results. Enter your search terms into any or all of the ...

  10. Managing the data deluge for national security analysts | National Nuclear

    National Nuclear Security Administration (NNSA)

    Security Administration | (NNSA) Managing the data deluge for national security analysts Wednesday, March 2, 2016 - 11:03am Sandia National Laboratories manager Kristina Czuchlewski says Pattern Analytics to Support High-Performance Exploitation and Reasoning, known as PANTHER, has developed software that can represent remote sensor images, couple them with additional information and present them in a searchable form. ALBUQUERQUE, N.M. - After a disaster or national tragedy, bits of

  11. Green Roofs - Federal Technology Alert | Department of Energy

    Energy Savers [EERE]

    Technology Alert Federal Technology Alert provides summary information on candidate energy-saving technologies. ftagreenroofs.pdf More Documents & Publications Guidelines...

  12. MANAGEMENT ALERT: DOE/IG-0922 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    MANAGEMENT ALERT: DOEIG-0922 MANAGEMENT ALERT: DOEIG-0922 September 30, 2014 Remediation of Selected Transuranic Waste Drums at Los Alamos National Laboratory - Potential Impact ...

  13. Intelligence Research Analyst, GS-132-9/11 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Intelligence Research Analyst, GS-132-911 Intelligence Research Analyst, GS-132-911 Job Announcement Number: 16-0002 Who May Apply: All qualified U.S. citizens Duty Location: 2...

  14. E-print Network Alert Service

    Office of Scientific and Technical Information (OSTI)

    Website Policies and Important Links E-print Web Log alert image About Search Browse by ... and engineering databases and Web sites, based on a search profile you submit to us. ...

  15. Rapid deployable global sensing hazard alert system

    DOE Patents [OSTI]

    Cordaro, Joseph V; Tibrea, Steven L; Shull, Davis J; Coleman, Jerry T; Shuler, James M

    2015-04-28

    A rapid deployable global sensing hazard alert system and associated methods of operation are provided. An exemplary system includes a central command, a wireless backhaul network, and a remote monitoring unit. The remote monitoring unit can include a positioning system configured to determine a position of the remote monitoring unit based on one or more signals received from one or more satellites located in Low Earth Orbit. The wireless backhaul network can provide bidirectional communication capability independent of cellular telecommunication networks and the Internet. An exemplary method includes instructing at least one of a plurality of remote monitoring units to provide an alert based at least in part on a location of a hazard and a plurality of positions respectively associated with the plurality of remote monitoring units.

  16. Management Alert: IG-0871 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1 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

  17. Management Alert: IG-0872 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    2 Management Alert: IG-0872 October 16, 2012 The Department of Energy's Management of Foreign Travel The Department of Energy (Department) and its workforce of 116,000 Federal and contractor personnel have numerous international exchanges and interactions at different levels and for a variety of important programmatic and other purposes. According to the Department's centralized travel database, the Foreign Travel Management System (FTMS), Federal and contractor employees made approximately

  18. Management Alert: IG-0864 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    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

  19. Logan Daum > Analyst - DC Energy > Center Alumni > The Energy Materials

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Center at Cornell Logan Daum Analyst - DC Energy lrd56@cornell.edu Formerly a graduate student with the Fennie Group, Logan joined DC Energy in June of 2013.

  20. Albert Einstein Alerts President Roosevelt of German Atomic Energy Program

    National Nuclear Security Administration (NNSA)

    | National Nuclear Security Administration | (NNSA) Albert Einstein Alerts President Roosevelt of German Atomic Energy Program Albert Einstein Alerts President Roosevelt of German Atomic Energy Program Washington, DC Albert Einstein writes President Franklin D. Roosevelt, alerting the President to the importance of research on nuclear chain reactions and the possibility that research might lead to developing powerful bombs. Einstein notes that Germany has stopped the sale of uranium and

  1. Pantex Plant's Calvin Nelson honored as Analyst of the Year for

    National Nuclear Security Administration (NNSA)

    Transportation Security | National Nuclear Security Administration | (NNSA) Plant's Calvin Nelson honored as Analyst of the Year for Transportation Security Monday, January 25, 2016 - 12:00am Calvin Nelson Pantex's Calvin Nelson was recently awarded the 2015 Analyst of the Year for Transportation Security by the Department of Energy's Nuclear Materials Information Program. The award, for which Nelson is the first-ever Pantex recipient, recognizes outstanding analytic support to the NMIP. All

  2. Senior Program Analyst (List the parenthetical here, leave blank if none.)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    | Department of Energy Senior Program Analyst (List the parenthetical here, leave blank if none.) Senior Program Analyst (List the parenthetical here, leave blank if none.) Submitted by admin on Mon, 2016-08-08 00:15 Job Summary Organization Name Department Of Energy Agency SubElement Department of Energy Locations District of Columbia, District of Columbia Announcement Number SE-16-TT-00001-DE Job Summary The OTT will execute technology transfer leadership and coordination roles and

  3. Albert Einstein Alerts President Roosevelt of German Atomic Energy...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Atomic Energy Program Washington, DC Albert Einstein writes President Franklin D. Roosevelt, alerting the President to the importance of research on nuclear chain reactions ...

  4. Alert Services | OSTI, US Dept of Energy, Office of Scientific...

    Office of Scientific and Technical Information (OSTI)

    Alert Services Get weekly e-mail notification of new information about your specific ... OSTIblog E-mail notifications OSTIblog E-mail Notifications Automatic notifications by ...

  5. Subject: Ames Blue Alert - X-ray Shutter Maintenance

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ames Blue Alert - X-ray Shutter Maintenance Statement: This lesson learned involves an ... 4. Follow the manufacturers suggested maintenance schedule. 5. Follow the standard ...

  6. From: Meredith Brown Subject: Yellow Alert:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Yellow Alert: Heater Malfunction The attached Pacific Northwest National Laboratory Lessons Learned, YellowCaution, is an advisory about a recent incident involving new...

  7. Title: Ames Blue Alert- Wood Cabinet Falls Apart

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Ames Blue Alert- Wood Cabinet Falls Apart Lessons Learned Statement- Cumulative damage can cause a loss of structural integrity. When furnishings are repeatedly exposed to water,...

  8. MANAGEMENT ALERT Remediation of Selected Transuranic Waste Drums...

    Office of Environmental Management (EM)

    MANAGEMENT ALERT Remediation of Selected Transuranic Waste Drums at Los Alamos National Laboratory - Potential Impact on the Shutdown of the Department's Waste Isolation Plant DOE...

  9. Supporting Mutual Understanding in a Visual Dialogue Between Analyst and Computer

    SciTech Connect (OSTI)

    Chappell, Alan R.; Cowell, Andrew J.; Thurman, David A.; Thomson, Judi R.

    2004-09-20

    The Knowledge Associates for Novel Intelligence (KANI) project is developing a system of automated associates to actively support and participate in the information analysis task. The primary goal of KANI is to use automatically extracted information in a reasoning system that draws on the strengths of both a human analyst and automated reasoning. The interface between the two agents is a key element in achieving this goal. The KANI interface seeks to support a visual dialogue with mixed-initiative manipulation of information and reasoning components. To be successful, the interface must achieve mutual understanding between the analyst and KANI of the others actions. Toward this mutual understanding, KANI allows the analyst to work at multiple levels of abstraction over the reasoning process, links the information presented across these levels to make use of interaction context, and provides querying facilities to allow exploration and explanation.

  10. From Meredith Brown racer@lanl.gov Subject: Yellow Alert- Supplied...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    12 Jan 2000 130859 -0700 From Meredith Brown racer@lanl.gov Subject: Yellow Alert- Supplied Air Fitting Failure Title: Yellow Alert- Mechanical Failure of Supplied Air Fitting...

  11. From: Meredith Brown Subject: Yellow Alert:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Fri, 12 Jun 1998 17:03:23 -0500 From: Meredith Brown Subject: Yellow Alert: Small Bench Top Fire Title: Bench Top Fire Involving Use of Alcohol and Burner...

  12. E-print Network Alerts -- Energy, science, and technology for...

    Office of Scientific and Technical Information (OSTI)

    Home About Advanced Search Browse by Discipline Scientific Societies E-print Alerts Add E-prints FAQ * HELP * SITE MAP * CONTACT US Enter Search Terms Search Advanced Search

  13. OSTIblog Articles in the customized alerts Topic | OSTI, US Dept...

    Office of Scientific and Technical Information (OSTI)

    customized alerts Topic The Web and Science: the First Twenty Years by Kate Bannan 18 Aug, 2011 in Science Communications 4366 tim-berners-lee.jpg The Web and Science: the First ...

  14. Business Alert Notification System | netl.doe.gov

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Business Alert Notification System FedBizOpps, FedConnect, and Grants.gov provide e-mail notification services to interested parties who want to receive information about the...

  15. Register for Fossil Energy NewsAlerts | Department of Energy

    Energy Savers [EERE]

    Fossil Energy NewsAlerts is a free, e-mail notification service of the U.S. Department of Energy's Office of Fossil Energy. Each time we update our web site in your area of ...

  16. MANAGEMENT ALERT: DOE/IG-0891 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    MANAGEMENT ALERT: DOE/IG-0891 MANAGEMENT ALERT: DOE/IG-0891 July 16, 2013 Allegations Regarding Prohibited Personnel Practices at the Bonneville Power Administration In June 2012, the Office of Inspector General received an anonymous complaint alleging prohibited personnel practices at Bonneville Power Administration (Bonneville). Based on our work to date, we have reached a preliminary conclusion that Bonneville engaged in a number of prohibited personnel practices. Notably, Bonneville's hiring

  17. Management Alert: DOE/IG-0906 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Management Alert: DOE/IG-0906 Management Alert: DOE/IG-0906 April 9, 2014 Review of Internal Controls for Protecting Non-Public Information at the Federal Energy Regulatory Commission In March 2014, the Office of Inspector General initiated a review of internal controls for protecting non-public information at the Federal Energy Regulatory Commission (Commission). The review was initiated in response to requests from the Senate Energy Natural Resources Committee and also the Commission regarding

  18. NIOSH Alert-Preventing Sentization and Disease from Beryllium | Department

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    of Energy NIOSH Alert-Preventing Sentization and Disease from Beryllium NIOSH Alert-Preventing Sentization and Disease from Beryllium February 3, 2011 Preventing Sensitization and Disease from Beryllium Exposure The National Institute for Occupational Safety and Health (NIOSH) requests assistance in preventing beryllium sensitization and chronic beryllium disease. Development of these conditions requires exposure to beryllium and is affected by both job tasks and genetic factors. Some jobs

  19. Responder Technology Alert (February 2015) (Technical Report) | SciTech

    Office of Scientific and Technical Information (OSTI)

    Connect Technical Report: Responder Technology Alert (February 2015) Citation Details In-Document Search Title: Responder Technology Alert (February 2015) As part of technology foraging for the Responder Technology Alliance, established by the Department of Homeland Science and Technologies First Responders Group, this report summarizes technologies that are relevant in the area of "wearables," with the potential for use by first responders. The content was collected over the

  20. Budget Analyst

    Broader source: Energy.gov [DOE]

    Energy Efficiency and Renewable Energys (EERE) mission is to create and sustain American leadership in the global transition to a clean energy economy through high-impact research, development, and...

  1. Policy Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate will serve as sole or senior representative and recognized authority regarding economic productivity, policy expertise, communicating EPSA/DOE positions to advance and...

  2. Management Analyst

    Office of Energy Efficiency and Renewable Energy (EERE)

    This position is located within the Office of Energy Efficiency and Renewable Energy (EERE). EEREs mission is to create and sustain American leadership in the global transition to a clean energy...

  3. Management Analyst

    Broader source: Energy.gov [DOE]

    This position is located within the Office of Energy Efficiency and Renewable Energy (EERE). EERE's mission is to create and sustain American leadership in the global transition to a clean energy...

  4. Disbursement Analyst

    Broader source: Energy.gov [DOE]

    This position is located in the Disbursement Operations (FTD) organization of Treasury (FT), Finance (F), and Bonneville Power Administration (BPA). Treasury directs financial planning and...

  5. Financial Analyst

    Broader source: Energy.gov [DOE]

    Transacting and Credit Risk Management (CBC)is responsible for measuring, monitoring, controlling, and reporting market risks associated with BPAs commodity transacting activities. It fulfills its...

  6. Analysts | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Analysis of the Impacts of the Clean Power Plan May 2015 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Analysis of the Impacts of the Clean Power Plan i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or

  7. Managment Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will... Have significant experience supporting or leading technology development, and technology transfer programs, on a regional or national scale, for...

  8. Budget Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as the office subject matter expert on the planning and financial execution of reimbursable, work-for-others, and university based research...

  9. Business Analyst

    Broader source: Energy.gov [DOE]

    This position is located in Transmission Strategy & Business Management (TAS), Chief of Staff, Transmission Services, Bonneville Power Administration. Transmission Strategy and Business...

  10. Program Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as a North American Electric Reliability Corporation (NERC) reliability compliance specialist.

  11. Storing and managing information artifacts collected by information analysts using a computing device

    DOE Patents [OSTI]

    Pike, William A; Riensche, Roderick M; Best, Daniel M; Roberts, Ian E; Whyatt, Marie V; Hart, Michelle L; Carr, Norman J; Thomas, James J

    2012-09-18

    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.

  12. The agile alert system for gamma-ray transients

    SciTech Connect (OSTI)

    Bulgarelli, A.; Trifoglio, M.; Gianotti, F.; Fioretti, V.; Chen, A. W.; Pittori, C.; Verrecchia, F.; Lucarelli, F.; Santolamazza, P.; Fanari, G.; Giommi, P.; Pellizzoni, A.; and others

    2014-01-20

    In recent years, a new generation of space missions has offered great opportunities for discovery in high-energy astrophysics. In this article we focus on the scientific operations of the Gamma-Ray Imaging Detector (GRID) on board the AGILE space mission. AGILE-GRID, sensitive in the energy range of 30 MeV-30 GeV, has detected many ?-ray transients of both galactic and extragalactic origin. This work presents the AGILE innovative approach to fast ?-ray transient detection, which is a challenging task and a crucial part of the AGILE scientific program. The goals are to describe (1) the AGILE Gamma-Ray Alert System, (2) a new algorithm for blind search identification of transients within a short processing time, (3) the AGILE procedure for ?-ray transient alert management, and (4) the likelihood of ratio tests that are necessary to evaluate the post-trial statistical significance of the results. Special algorithms and an optimized sequence of tasks are necessary to reach our goal. Data are automatically analyzed at every orbital downlink by an alert pipeline operating on different timescales. As proper flux thresholds are exceeded, alerts are automatically generated and sent as SMS messages to cellular telephones, via e-mail, and via push notifications from an application for smartphones and tablets. These alerts are crosschecked with the results of two pipelines, and a manual analysis is performed. Being a small scientific-class mission, AGILE is characterized by optimization of both scientific analysis and ground-segment resources. The system is capable of generating alerts within two to three hours of a data downlink, an unprecedented reaction time in ?-ray astrophysics.

  13. Science.gov Alerts 3.0 help track latest science information...

    Office of Scientific and Technical Information (OSTI)

    Alerts 3.0 help track latest science information Back to the OSTI News Listing for 2006 The Science.gov Alert Service has been updated to take advantage of the new Science.gov 3.0 ...

  14. Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection

    DOE Patents [OSTI]

    Clapp, Ned E.; Hively, Lee M.

    1997-01-01

    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.

  15. Method and apparatus for extraction of low-frequency artifacts from brain waves for alertness detection

    DOE Patents [OSTI]

    Clapp, N.E.; Hively, L.M.

    1997-05-06

    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.

  16. Analyst Tools and Quality Control Software for the ARM Data System

    SciTech Connect (OSTI)

    Moore, S.T.

    2004-12-14

    ATK Mission Research develops analyst tools and automated quality control software in order to assist the Atmospheric Radiation Measurement (ARM) Data Quality Office with their data inspection tasks. We have developed a web-based data analysis and visualization tool, called NCVweb, that allows for easy viewing of ARM NetCDF files. NCVweb, along with our library of sharable Interactive Data Language procedures and functions, allows even novice ARM researchers to be productive with ARM data with only minimal effort. We also contribute to the ARM Data Quality Office by analyzing ARM data streams, developing new quality control metrics, new diagnostic plots, and integrating this information into DQ HandS - the Data Quality Health and Status web-based explorer. We have developed several ways to detect outliers in ARM data streams and have written software to run in an automated fashion to flag these outliers.

  17. IMPROVED GROUND TRUTH IN SOUTHERN ASIA USING IN-COUNTRY DATA, ANALYST WAVEFORM REVIEW, AND ADVANCED ALGORITHMS

    SciTech Connect (OSTI)

    Engdahl, Eric, R.; Bergman, Eric, A.; Myers, Stephen, C.; Ryall, Floriana

    2009-06-19

    A new catalog of seismicity at magnitudes above 2.5 for the period 1923-2008 in the Iran region is assembled from arrival times reported by global, regional, and local seismic networks. Using in-country data we have formed new events, mostly at lower magnitudes that were not previously included in standard global earthquake catalogs. The magnitude completeness of the catalog varies strongly through time, complete to about magnitude 4.2 prior to 1998 and reaching a minimum of about 3.6 during the period 1998-2005. Of the 25,722 events in the catalog, most of the larger events have been carefully reviewed for proper phase association, especially for depth phases and to eliminate outlier readings, and relocated. To better understand the quality of the data set of arrival times reported by Iranian networks that are central to this study, many waveforms for events in Iran have been re-picked by an experienced seismic analyst. Waveforms at regional distances in this region are often complex. For many events this makes arrival time picks difficult to make, especially for smaller magnitude events, resulting in reported times that can be substantially improved by an experienced analyst. Even when the signal/noise ratio is large, re-picking can lead to significant differences. Picks made by our analyst are compared with original picks made by the regional networks. In spite of the obvious outliers, the median (-0.06 s) and spread (0.51 s) are small, suggesting that reasonable confidence can be placed in the picks reported by regional networks in Iran. This new catalog has been used to assess focal depth distributions throughout Iran. A principal result of this study is that the geographic pattern of depth distributions revealed by the relatively small number of earthquakes (~167) with depths constrained by waveform modeling (+/- 4 km) are now in agreement with the much larger number of depths (~1229) determined using reanalysis of ISC arrival-times (+/-10 km), within their

  18. From: Meredith Brown Subject: Red Alert: Contaminatio...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Meredith Brown Subject: Red Alert: Contamination Spread Outside of RCAs ... Priority Descriptor: REDUrgent (based on the actual spread of contamination offsite) ...

  19. Cooperative Monitoring Center Occasional Paper/9: De-Alerting Strategic Ballistic Missiles

    SciTech Connect (OSTI)

    Connell, Leonard W.; Edenburn, Michael W.; Fraley, Stanley K.; Trost, Lawrence C.

    1999-03-01

    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.

  20. Alert Confidence Fusion in Intrusion Detection Systems with Extended Dempster- Shafer Theory

    SciTech Connect (OSTI)

    Yu, Dong; Frincke, Deborah A.

    2005-03-01

    Extend Dempster-Shafer Theory of Evidence to include differential weightings of alerts drawn from multiple sources. The intent is to support automated (and manual) response to threat by producing more realistic confidence ratings for IDS alerts than is currently available.

  1. Federal technology alert. Parabolic-trough solar water heating

    SciTech Connect (OSTI)

    1998-04-01

    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.

  2. Energy Industry Analyst

    Broader source: Energy.gov [DOE]

    If you are ready to begin your new career or are looking for a place to make an impact, what better place than a top 5 agency? We are looking for the best and brightest to join our team of...

  3. Supervisory Program Analyst (Transformation)

    Broader source: Energy.gov [DOE]

    The Energy Information Administration (EIA) conducts a relevant, reliable, and timely data collection program that covers the full spectrum of energy sources, end uses, and energy flows; generates...

  4. Operations Research Analyst

    Office of Energy Efficiency and Renewable Energy (EERE)

    This position is located in the Market Analysis and Pricing (PTM) group in the Power Services Organization. Market Analysis and Pricing performs market analysis, product pricing, transaction and...

  5. Operations Research Analyst

    Broader source: Energy.gov [DOE]

    This position is located in the Transacting and Credit Risk Management group (TCRM) within the Risk Management group led by Chief Risk Officer (CRO) in the Office of the Compliance, Audit and Risk....

  6. Management & Program Analyst

    Broader source: Energy.gov [DOE]

    Where would I be working? Western Area Power Administration, Corporate Services Office, Office of the Chief Financial Officer, Governance and Policy (A8500). 12155 West Alameda Parkway, Lakewood,...

  7. Energy Industry Analyst (IT)

    Broader source: Energy.gov [DOE]

    If you are ready to begin your new career or are looking for a place to make an impact, what better place than a top 5 agency? We are looking for the best and brightest to join our team of...

  8. Supervisory Supply Systems Analyst

    Office of Energy Efficiency and Renewable Energy (EERE)

    This position is located in Materials Management Group, which is part of the Logistics Management operations of Supply Chain Services. The Logistics Management organization manages the warehousing...

  9. Management and Program Analyst

    Broader source: Energy.gov [DOE]

    EEREs mission is to create and sustain American leadership in the global transition to a clean energy economy through high-impact research, development, and demonstration and by breaking down...

  10. Supervisory Policy Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will serve as an expert policy advisor and recognized technical authority to the Deputy Director for State, Local and Tribal Cooperation. The candidate will...

  11. Compensation Review Analyst

    Energy Science and Technology Software Center (OSTI)

    2003-06-03

    COMPERA is a decision support system designed to facilitate the compensation review process. With parameters provided by the user(s), the system generates recommendations for base increases and nonbase compensation that strives to align total compensation with performance compensation targets. The user(s) prescribe(s) compensation targets according to performance (or value of contribution) designators. These targets are presented in look-up tables, which are then used by embedded formulas in the worksheet to determine the recommended compensation formore » each individual.« less

  12. Energy Industry Analyst

    Broader source: Energy.gov [DOE]

    This position is located in the Office of Enforcement's (OE) Division of Analytics and Surveillance. OE serves the public interest by ensuring effective regulations and protecting customers through...

  13. Financial Program Analyst

    Broader source: Energy.gov [DOE]

    (See Frequently Asked Questions for more information). Where would I be working? Western Area Power Administration Desert Southwest Region Budget and Alternative Finance (G8100) 615 S. 43rd Avenue...

  14. Operations Research Analyst

    Broader source: Energy.gov [DOE]

    This position is located in the Enterprise Risk Management group within the Risk Management group led by the Chief Risk Officer in the Office of the Deputy Administrator. The position is located at...

  15. Senior Counterintelligence Analyst

    Broader source: Energy.gov [DOE]

    A successful candidate in this position will: Manage counter-intelligence production and ensure analytical assessments adhere to the highest standards Support goals and objectives of the Director...

  16. Financial Analyst (Litigation)

    Broader source: Energy.gov [DOE]

    If you are ready to begin your new career or are looking for a place to make an impact, what better place than a top 5 agency? We are looking for the best and brightest to join our team of...

  17. Energy Industry Analyst (Litigation)

    Broader source: Energy.gov [DOE]

    If you are ready to begin your new career or are looking for a place to make an impact, what better place than a top 5 agency? We are looking for the best and brightest to join our team of...

  18. Supervisory Financial Analyst

    Broader source: Energy.gov [DOE]

    (See Frequently Asked Questions for more information). Where would I be working? Western Area Power Administration, Corporate Services Office, Office of the Chief Financial Officer, Financial...

  19. Management Alert: OAS-RA-11-16 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    1-16 Management Alert: OAS-RA-11-16 September 1, 2011 The Status of Energy Efficiency and Conservation Block Grant Recipients' Obligations Under the American Recovery and Reinvestment Act of 2009 (Recovery Act), the Department of Energy (Department) Energy Efficiency and Conservation Block Grant (EECBG) Program received $3.2 billion to improve energy efficiency and reduce energy use and fossil fuel emission. EECBG agreements have a maximum performance period of 36 months and, in support of the

  20. Handling Cyber Security Alerts and Advisories and Reporting Cyber Security Incidents

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    2002-03-18

    To establish Department of Energy (DOE) requirements and responsibilities for reporting cyber security incidents involving classified and unclassified systems and responding to cyber security alerts and advisories; and to implement requirements of DOE N 205.1, Unclassified Cyber Security Program, and DOE M 471.2-2, Classified Information Systems Security Manual. DOE N 205.13, dated 7-6-04, extends this notice until 7-6-05. Cancels DOE M 471.2-2, Chapter III, section 8.

  1. Safety Alerts

    Office of Energy Efficiency and Renewable Energy (EERE)

    Documents downloaded from the password-protected areas of this web site may be made available to the DOE Federal and contractor community and to the military. These documents are not permitted to be made available to the general public via an Internet web site. All parties with access to the password-protected areas of the EHSS web site are to exercise due diligence to maintain control of information.

  2. SeizAlert could give patients 4.5 hour warning of seizure

    ScienceCinema (OSTI)

    Dr. Lee Hively and Kara Kruse

    2010-01-08

    One percent of Americans, 3 million people, suffer from epilepsy. And their lives are about to be dramatically changed by scientists at Oak Ridge National Laboratory. For 15 years, Dr. Lee Hively has been working on "SeizAlert", a seizure-detecting device that resembles a common PDA. "It allows us to analyze scalp brain waves and give us up to 4.5 hours' forewarning of that event," he said. With the help of partner Kara Kruse, he's now able to help patients predict the previously unpredictable.

  3. OSTIblog Articles in the alerts Topic | OSTI, US Dept of Energy Office of

    Office of Scientific and Technical Information (OSTI)

    Scientific and Technical Information alerts Topic Science.gov Mobile: Top Ten in Federal Apps! by Linda McBrearty 03 Jul, 2012 in Products and Content 4733 Scigov_home640X960.jpg Science.gov Mobile: Top Ten in Federal Apps! Read more about 4733 Hard work and innovation pay off! Government Computer News (GCN) and Information Week have published their Top Ten Federal mobile apps lists, and Science.gov was the only interagency mobile application named to both! Since last year, over 100 federal

  4. Federal Technology Alert: Ground-Source Heat Pumps Applied to Federal Facilities--Second Edition

    SciTech Connect (OSTI)

    Hadley, Donald L.

    2001-03-01

    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.

  5. Alerting device and method for reminding a person of a risk

    SciTech Connect (OSTI)

    Runyon, Larry; Gunter, Wayne M; Pratt, Richard M

    2001-11-27

    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.

  6. Passive pavement-mounted acoustical linguistic drive alert system and method

    DOE Patents [OSTI]

    Kisner, Roger A.; Anderson, Richard L.; Carnal, Charles L.; Hylton, James O.; Stevens, Samuel S.

    2001-01-01

    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.

  7. Model documentation report: Industrial sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    1998-01-01

    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.

  8. Design and implementation of a marine animal alert system to support Marine Renewable Energy

    SciTech Connect (OSTI)

    Deng, Zhiqun; Carlson, Thomas J.; Fu, Tao; Ren, Huiying; Martinez, Jayson J.; Myers, Joshua R.; Matzner, Shari; Choi, Eric Y.; Copping, Andrea E.

    2013-08-08

    Power extracted from fast moving tidal currents has been identified as a potential commercial-scale source of renewable energy. Device developers and utilities are pursuing deployment of prototype tidal turbines to assess technology viability, site feasibility, and environmental interactions. Deployment of prototype turbines requires permits from a range of regulatory authorities. Ensuring the safety of marine animals, particularly those under protection of the Endangered Species Act of 1973 (ESA) and the Marine Mammal Protection Act of 1972 has emerged as a key regulatory challenge for initial MHK deployments. The greatest perceived risk to marine animals is from strike by the rotating blades of tidal turbines. Development of the marine mammal alert system (MAAS) was undertaken to support monitoring and mitigation requirements for tidal turbine deployments. The prototype system development focused on Southern Resident killer whales (SRKW), an endangered population of killer whales that frequents Puget Sound and is intermittently present in the part of the sound where deployment of prototype tidal turbines is being considered. Passive acoustics were selected as the primary means because of the vocal nature of these animals. The MAAS passive acoustic system consists of two-stage process involving the use of an energy detector and a spectrogram-based classifier to distinguish between SKRW’s calls and noise. A prototype consisting of two 2D symmetrical star arrays separated by 20 m center to center was built and evaluated in the waters of Sequim Bay using whale call playback.

  9. Use of Circadian Lighting System to improve night shift alertness and performance of NRC Headquarters Operations Officers

    SciTech Connect (OSTI)

    Baker, T.L.; Morisseau, D.; Murphy, N.M.

    1995-04-01

    The Nuclear Regulatory Commission`s (NRC) Headquarters Operations Officers (HOOs) receive and respond to events reported in the nuclear industry on a 24-hour basis. The HOOs have reported reduced alertness on the night shift, leading to a potential deterioration in their on-shift cognitive performance during the early morning hours. For some HOOs, maladaptation to the night shift was also reported to be the principal cause of: (a) reduced alertness during the commute to and from work, (b) poor sleep quality, and (c) personal lifestyle problems. ShiftWork Systems, Inc. (SWS) designed and installed a Circadian Lighting System (CLS) at both the Bethesda and Rockville HOO stations with the goal of facilitating the HOOs physiological adjustment to their night shift schedules. The data indicate the following findings: less subjective fatigue on night shifts; improved night shift alertness and mental performance; higher HOO confidence in their ability to assess event reports; longer, deeper and more restorative day sleep after night duty shifts; swifter adaptation to night work; and a safer commute, particularly for those with extensive drives.

  10. Budget Analyst | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    is to create and sustain American leadership in the global transition to a clean ... productivity, by exercising Federal leadership in developing policies, information, ...

  11. Financial Analyst (Senior Policy Advisor)

    Broader source: Energy.gov [DOE]

    This position is located in the Treasury organization and directs financial planning and investment of funds for Bonneville Power Administration and exercises authority for receipt, disbursement,...

  12. Patricia Hagerty, Aviation Program Analyst

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    United States. Pat has two bachelor's degrees from the University of Montana; she is a certified general aviation private pilot and a Vietnam Era Veteran of the U.S. Coast Guard.

  13. Student Trainee (Energy Industry Analyst)

    Broader source: Energy.gov [DOE]

    Are you seeking challenging assignments working for a dynamic agency while gaining real-world experience? We are looking for the best and brightest to help us shape the future of the energy...

  14. Supervisory Grants and Contracts Analyst

    Broader source: Energy.gov [DOE]

    The Office of Science is the single largest supporter of basic research in the physical sciences in the United States, providing more than 40 percent of total funding for this vital area of...

  15. Program Analyst (Contracting Officer Representative)

    Broader source: Energy.gov [DOE]

    This position reports directly to the Office Director for PBPE. The incumbent of this position analyzes, evaluates and/or advises management on the effectiveness of complex and overarching EIA...

  16. Comparison of Photovoltaic Models in the System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Blair, N. J.; Dobos, A. P.; Gilman, P.

    2013-08-01

    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.

  17. Model documentation report: Transportation sector model of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    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.

  18. Compendium of Material Composition Data for Radiation Transport Modeling

    SciTech Connect (OSTI)

    Williams, Ralph G.; Gesh, Christopher J.; Pagh, Richard T.

    2006-10-31

    Computational modeling of radiation transport problems including homeland security, radiation shielding and protection, and criticality safety all depend upon material definitions. This document has been created to serve two purposes: 1) to provide a quick reference of material compositions for analysts and 2) a standardized reference to reduce the differences between results from two independent analysts. Analysts are always encountering a variety of materials for which elemental definitions are not readily available or densities are not defined. This document provides a location where unique or hard to define materials will be located to reduce duplication in research for modeling purposes. Additionally, having a common set of material definitions helps to standardize modeling across PNNL and provide two separate researchers the ability to compare different modeling results from a common materials basis.

  19. Modeling Human Behavior to Anticipate Insider Attacks

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Hohimer, Ryan E.

    2011-06-09

    The insider threat ranks among the most pressing cybersecurity challenges that threaten government and industry information infrastructures. To date, no systematic methods have been developed that provide a complete and effective approach to prevent data leakage, espionage and sabotage. Current practice is forensic in nature, relegating to the analyst the bulk of the responsibility to monitor, analyze, and correlate an overwhelming amount of data. We describe a predictive modeling framework that integrates a diverse set of data sources from the cyber domain as well as inferred psychological/motivational factors that may underlie malicious insider exploits. This comprehensive threat assessment approach provides automated support for the detection of high-risk behavioral triggers to help focus the analysts attention and inform the analysis. Designed to be domain independent, the system may be applied to many different threat and warning analysis/sensemaking problems.

  20. Alertness, performance and off-duty sleep on 8-hour and 12-hour night shifts in a simulated continuous operations control room setting

    SciTech Connect (OSTI)

    Baker, T.L.

    1995-04-01

    A growing number of nuclear power plants in the United States have adopted routine 12-hr shift schedules. Because of the potential impact that extended work shifts could have on safe and efficient power plant operation, the U.S. Nuclear Regulatory Commission funded research on 8-hr and 12-hr shifts at the Human Alertness Research Center (HARC) in Boston, Massachusetts. This report describes the research undertaken: a study of simulated 8-hr and 12-hr work shifts that compares alertness, speed, and accuracy at responding to simulator alarms, and relative cognitive performance, self-rated mood and vigor, and sleep-wake patterns of 8-hr versus 12-hr shift workers.

  1. THE LACK OF DIFFUSE, NON-THERMAL HARD X-RAY EMISSION IN THE COMA CLUSTER: THE SWIFT BURST ALERT TELESCOPE'S EYE VIEW

    SciTech Connect (OSTI)

    Wik, Daniel R.; Baumgartner, Wayne H.; Okajima, Takashi; Tueller, Jack; Finoguenov, Alexis; Mushotzky, Richard F.; Clarke, Tracy E.

    2011-02-01

    The Coma Cluster of galaxies hosts the brightest radio halo known and has therefore been the target of numerous searches for associated inverse Compton (IC) emission, particularly at hard X-ray energies where the IC signal must eventually dominate over thermal emission. The most recent search with the Suzaku Hard X-ray Detector failed to confirm previous IC detections with RXTE and BeppoSAX, instead setting an upper limit 2.5 times below their non-thermal flux. However, this discrepancy can be resolved if the IC emission is very extended, beyond the scale of the cluster radio halo. Using reconstructed sky images from the 58-month Swift Burst Alert Telescope (BAT) all-sky survey, the feasibility of such a solution is investigated. Building on Renaud et al., we test and implement a method for extracting the fluxes of extended sources, assuming specified spatial distributions. BAT spectra are jointly fit with an XMM-Newton EPIC-pn spectrum derived from mosaic observations. We find no evidence for large-scale IC emission at the level expected from the previously detected non-thermal fluxes. For all non-thermal spatial distributions considered, which span the gamut of physically reasonable IC models, we determine upper limits for which the largest (most conservative) limit is {approx}<4.2 x 10{sup -12} erg s{sup -1} cm{sup -2} (20-80 keV), which corresponds to a lower limit on the magnetic field B > 0.2 {mu} G. A nominal flux upper limit of <2.7 x 10{sup -12} erg s{sup -1} cm{sup -2}, with corresponding B > 0.25 {mu} G, is derived for the most probable IC distribution given the size of the radio halo and likely magnetic field radial profile.

  2. Cohesive Zone Model User Element

    Energy Science and Technology Software Center (OSTI)

    2007-04-17

    Cohesive Zone Model User Element (CZM UEL) is an implementation of a Cohesive Zone Model as an element for use in finite element simulations. CZM UEL computes a nodal force vector and stiffness matrix from a vector of nodal displacements. It is designed for structural analysts using finite element software to predict crack initiation, crack propagation, and the effect of a crack on the rest of a structure.

  3. Model documentation coal market module of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-02-01

    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.

  4. Marine Animal Alert System -- Task 2.1.5.3: Development of Monitoring Technologies -- FY 2011 Progress Report

    SciTech Connect (OSTI)

    Carlson, Thomas J.; Deng, Zhiqun; Myers, Joshua R.; Matzner, Shari; Copping, Andrea E.

    2011-09-30

    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.

  5. NIOSH alert: Request for assistance in preventing electrocutions of crane operators and crew members working near overhead power lines

    SciTech Connect (OSTI)

    1995-05-01

    In this alert, NIOSH warned that crane operators and crew members may be electrocuted when working near overhead power lines. Five cases were described which resulted in six electrocutions. Case 1 involved a 29 year old who pushed the crane cable on a 1 yard cement bucket into a 7,200 volt power line. Case 2 involved a 33 year old well driller who was electrocuted when a metal pipe lifted by a truck mounted crane contacted a 12,000 volt overhead power line. The third case involved a 24 year old forman for a telecommunications company who was electrocuted when he grabbed the door handle of a truck mounted crane whose boom was in contact with a 7,200 volt overhead power line. Case 4 involved a 37 year old construction laborer electrocuted while pulling a wire rope attached to a crane cable toward a load. The fifth case involved a 20 year old male truck driver and his 70 year old male employer who were electrocuted when the boom of a truck mounted crane contacted a 7,200 volt conductor of an overhead power line.

  6. Analysis of Modeling Parameters on Threaded Screws.

    SciTech Connect (OSTI)

    Vigil, Miquela S.; Brake, Matthew Robert; Vangoethem, Douglas

    2015-06-01

    Assembled mechanical systems often contain a large number of bolted connections. These bolted connections (joints) are integral aspects of the load path for structural dynamics, and, consequently, are paramount for calculating a structure's stiffness and energy dissipation prop- erties. However, analysts have not found the optimal method to model appropriately these bolted joints. The complexity of the screw geometry cause issues when generating a mesh of the model. This paper will explore different approaches to model a screw-substrate connec- tion. Model parameters such as mesh continuity, node alignment, wedge angles, and thread to body element size ratios are examined. The results of this study will give analysts a better understanding of the influences of these parameters and will aide in finding the optimal method to model bolted connections.

  7. Model documentation report: Macroeconomic Activity Module (MAM) of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-02-07

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Macroeconomic Activity Module (MAM) used to develop the Annual Energy Outlook for 1994 (AEO94). The report catalogues and describes the module assumptions, computations, methodology, parameter estimation techniques, and mainframe source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS MAM used for the AEO 1994 production runs for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models (Public Law 94-385, section 57.b.2). 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.

  8. Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda |

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Department of Energy Agenda Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Agenda Agenda for the Joint Meeting on Hydrogen Delivery Modeling and Analysis, May 8-9, 2007 deliv_analysis_agenda.pdf (77.66 KB) More Documents & Publications Hydrogen Delivery Analysis Models Hydrogen Delivery Analysis Plus Meeting: DTT, STT, HPTT, Other Analysts, Invited Guests Joint Meeting on Hydrogen Delivery Modeling and Analysis Meeting Attendees List

  9. Model documentation report: Residential sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-01-01

    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.

  10. Modeling Social Movement Theory for the Intelligence Community: A Case Study

    SciTech Connect (OSTI)

    Pouchard, Line C.; Paulson, Patrick R.; Hohimer, Ryan E.

    2007-10-09

    We describe the modeling of concepts taken from social and behavioral science theories, specifically Social Movement Theory, with OWL ontologies. One goal of the study was to provide analysts with a way to understand the potential contribution of social movement research to their tasks without interrupting workflow. Another goal was to facilitate knowledge transfer at the point of need between busy analysts and the latest research. Instead of providing mechanisms for obtaining consensus on debated concepts, we used different namespaces for each author and record bibliographic information in another ontology. We also describe a framework for knowledge discovery supported by the ontologies.

  11. Modeling Social Movement Theory for the Intelligence Community: A Case Study.

    SciTech Connect (OSTI)

    Pouchard, Line Catherine; Hohimer, Ryan; Paulson, Patrick

    2007-01-01

    We describe the modeling of concepts taken from social and behavioral science theories, specifically Social Movement Theory, with OWL ontologies. One goal of the study was to provide analysts with a way to understand the potential contribution of social movement research to their tasks without interrupting workflow. Another goal was to facilitate knowledge transfer at the point of need between busy analysts and the latest research. Instead of providing mechanisms for obtaining consensus on debated concepts, we used different namespaces for each author and record bibliographic information in another ontology. We also describe a framework for knowledge discovery supported by the ontologies.

  12. Sr. Business Analyst - Financials (Term Position) | Princeton...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    project team, and will set the directionvision for PeopleSoft General Ledger (GL), Commitment Control, Project Costing and Labor Distribution modulesareas based on...

  13. Management and Program Analyst (Supplemental Labor)

    Broader source: Energy.gov [DOE]

    This position is located in the Supplemental Labor Management Office (NSP), Supply Chain Services (NS), Chief Administrative Office (N), Bonneville Power Administration (BPA). The Supplemental...

  14. Interdisciplinary Operations Research Analyst/Economist

    Broader source: Energy.gov [DOE]

    The U.S. Energy Information Administration (EIA) is the statistical and analytical agency within the U.S. Department of Energy. EIA is the nation's premier source of energy information and, by law,...

  15. Electricity Policy Analyst | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    a part of an organization that touches the lives of every American. The Office of Electricity Delivery and Energy Reliability (OE) leads national efforts to modernize the...

  16. Interdisciplinary Economist/Operations Research Analyst

    Broader source: Energy.gov [DOE]

    This position may be located in either the Office of Energy Statistics, Macroeconomic Analysis Team (MAT), Office of Energy Markets and Financial Analysis (EMFA) or the Office of Energy Analysis of...

  17. Supervisory, Infrastructure Systems Analyst | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    Summary Become a part of an organization that touches the lives of every American. The Office of Electricity Delivery and Energy Reliability (OE) leads national efforts to...

  18. Interdisciplinary Supervisory Economist/Operations Research Analyst

    Broader source: Energy.gov [DOE]

    This Interdisciplinary position is located in the Office of the Assistant Administrator for Energy Analysis (OEA), Energy Information Administration (EIA). OEA provides leadership and direction to...

  19. Program Analyst - DETAIL (Performance Improvement) | Department...

    Energy Savers [EERE]

    Improvement) for the Human Resources Service Delivery (HRSD) Program (HC-1.6). The detail may be extended. The detailee will play a key role in a Chief Human Capital Officer ...

  20. GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Questions | Department of Energy GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research Questions GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research Questions November 23, 2015 - 2:57pm Addthis GREET Model Expanded to Better Address Biofuel Life-Cycle Analysis Research Questions The Greenhouse gases, Regulated Emissions, and Energy use in Transportation (GREET) model allows researchers and analysts to fully evaluate the energy and emission

  1. Motor Gasoline Market Model documentation report

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    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.

  2. Some aspects of statistical modeling of human-error probability

    SciTech Connect (OSTI)

    Prairie, R. R.

    1982-01-01

    Human reliability analyses (HRA) are often performed as part of risk assessment and reliability projects. Recent events in nuclear power have shown the potential importance of the human element. There are several on-going efforts in the US and elsewhere with the purpose of modeling human error such that the human contribution can be incorporated into an overall risk assessment associated with one or more aspects of nuclear power. An effort that is described here uses the HRA (event tree) to quantify and model the human contribution to risk. As an example, risk analyses are being prepared on several nuclear power plants as part of the Interim Reliability Assessment Program (IREP). In this process the risk analyst selects the elements of his fault tree that could be contributed to by human error. He then solicits the HF analyst to do a HRA on this element.

  3. A Reduced Order Model of Force Displacement Curves for the Failure of Mechanical Bolts in Tension.

    SciTech Connect (OSTI)

    Moore, Keegan J.; Brake, Matthew Robert

    2015-12-01

    Assembled mechanical systems often contain a large number of bolted connections. These bolted connections (joints) are integral aspects of the load path for structural dynamics, and, consequently, are paramount for calculating a structure's stiffness and energy dissipation prop- erties. However, analysts have not found the optimal method to model appropriately these bolted joints. The complexity of the screw geometry causes issues when generating a mesh of the model. This report will explore different approaches to model a screw-substrate connec- tion. Model parameters such as mesh continuity, node alignment, wedge angles, and thread to body element size ratios are examined. The results of this study will give analysts a better understanding of the influences of these parameters and will aide in finding the optimal method to model bolted connections.

  4. Hydrogen Demand and Resource Analysis (HyDRA) Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Demand and Resource Analysis (HyDRA) Model (National Renewable Energy Laboratory) Objectives To allow analysts, decision makers, and general users to view, download, and analyze hydrogen demand, resource, and infrastructure data spatially and dynamically. Key Attributes & Strengths HyDRA is an application that has the look, feel, and functionality of a traditional client-based GIS application. Users are able to create their own spatial datasets and upload them into the HyDRA application to

  5. Model documentation Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1996-02-26

    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.

  6. Storm water modeling at Lawrence Livermore National Laboratory

    SciTech Connect (OSTI)

    Veis, Christopher

    1996-05-01

    Storm water modeling is important to Lawrence Livermore National Laboratory (LLNL) for compliance with regulations that govern water discharge at large industrial facilities. Modeling is also done to study trend in contaminants and storm sewer infrastructure. The Storm Water Management Model (SWMM) was used to simulate rainfall events at LLNL. SWMM is a comprehensive computer model for simulation of urban runoff quantity and quality in storm and combined sewer systems. Due to time constraints and ongoing research, no modeling was completed at LLNL. With proper information about the storm sewers, a SWMM simulation of a rainfall event on site would be beneficial to storm sewer analyst.

  7. Model Verification and Validation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    in the decision-making process. Validation should therefore involve the code developers, computer scientists, experimentalists, statisticians, analysts, and application owners....

  8. EIA model documentation: Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1994-12-30

    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.

  9. Integrated Baseline System (IBS) Version 2.0: Models guide

    SciTech Connect (OSTI)

    Not Available

    1994-03-01

    The Integrated Baseline System (IBS) is an emergency management planning and analysis tool being developed under the direction of the US Army Nuclear and Chemical Agency. This Models Guide summarizes the IBS use of several computer models for predicting the results of emergency situations. These include models for predicting dispersion/doses of airborne contaminants, traffic evacuation, explosion effects, heat radiation from a fire, and siren sound transmission. The guide references additional technical documentation on the models when such documentation is available from other sources. The audience for this manual is chiefly emergency management planners and analysts, but also data managers and system managers.

  10. Cross-industry Performance Modeling: Toward Cooperative Analysis

    SciTech Connect (OSTI)

    Reece, Wendy Jane; Blackman, Harold Stabler

    1998-10-01

    One of the current unsolved problems in human factors is the difficulty in acquiring information from lessons learned and data collected among human performance analysts in different domains. There are several common concerns and generally accepted issues of importance for human factors, psychology and industry analysts of performance and safety. Among these are the need to incorporate lessons learned in design, to carefully consider implementation of new designs and automation, and the need to reduce human performance-based contributions to risk. In spite of shared concerns, there are several roadblocks to widespread sharing of data and lessons learned from operating experience and simulation, including the fact that very few publicly accessible data bases exist (Gertman & Blackman, 1994, and Kirwan, 1997). There is a need to draw together analysts and analytic methodologies to comprise a centralized source of data with sufficient detail to be meaningful while ensuring source anonymity. We propose that a generic source of performance data and a multi-domain data store may provide the first steps toward cooperative performance modeling and analysis across industries.

  11. Incorporating a Time Horizon in Rate-of-Return Estimations: Discounted Cash Flow Model in Electric Transmission Rate Cases

    SciTech Connect (OSTI)

    Chatterjee, Bishu; Sharp, Peter A.

    2006-07-15

    Electric transmission and other rate cases use a form of the discounted cash flow model with a single long-term growth rate to estimate rates of return on equity. It cannot incorporate information about the appropriate time horizon for which analysts' estimates of earnings growth have predictive powers. Only a non-constant growth model can explicitly recognize the importance of the time horizon in an ROE calculation. (author)

  12. Safety Alerts | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Documents downloaded from the password-protected areas of this web site may be made ... are not permitted to be made available to the general public via an Internet web site. ...

  13. Responder Technology Alert (February 2015)

    SciTech Connect (OSTI)

    Upton, Jaki F.; Stein, Steven L.

    2015-04-10

    As part of technology foraging for the Responder Technology Alliance, established by the Department of Homeland Science and Technologies First Responders Group, this report summarizes technologies that are relevant in the area of “wearables,” with the potential for use by first responders. The content was collected over the previous month(s) and reproduced from a general Internet search using the term wearables. Additional information is available at the websites provided. This report is not meant to be an exhaustive list nor an endorsement of any technology described herein. Rather, it is meant to provide useful information about current developments in the areas wearable technology.

  14. Northeastern Summer Electricity Market Alert

    Reports and Publications (EIA)

    2013-01-01

    The National Weather Service declared an excessive-heat warning for much of the Mid-Atlantic and northeastern United States, including major electric markets covering Philadelphia, Boston, Washington, D.C., and New York City. This report highlights the wholesale electricity market activity occurring in response to the higher-than-normal electricity demand caused by the heat wave.

  15. Users guide for SAMM: A prototype southeast Alaska multiresource model. Forest Service general technical report

    SciTech Connect (OSTI)

    Weyermann, D.L.; Fight, R.D.; Garrett, F.D.

    1991-08-01

    This paper instructs resource analysts on using the southeast Alaska multiresource model (SAMM). SAMM is an interactive microcomputer program that allows users to explore relations among several resources in southeast Alaska (timber, anadromous fish, deer, and hydrology) and the effects of timber management activities (logging, thinning, and road building) on those relations and resources. This guide assists users in installing SAMM on a microcomputer, developing input data files, making simulation runs, and strong output data for external analysis and graphic display.

  16. Automated Expert Modeling and Student Evaluation

    Energy Science and Technology Software Center (OSTI)

    2012-09-12

    AEMASE searches a database of recorded events for combinations of events that are of interest. It compares matching combinations to a statistical model to determine similarity to previous events of interest and alerts the user as new matching examples are found. AEMASE is currently used by weapons tactics instructors to find situations of interest in recorded tactical training scenarios. AEMASE builds on a sub-component, the Relational Blackboard (RBB), which is being released as open-source software.more » AEMASE builds on RBB adding interactive expert model construction (automated knowledge capture) and re-evaluation of scenario data.« less

  17. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modeling & Analysis, News, News & Events, Photovoltaic, Renewable Energy, Research & Capabilities, Solar, Solar Newsletter, SunShot, Systems Analysis Sandia Develops Stochastic ...

  18. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Monte Carlo modeling it was found that for noisy signals with a significant background component, accuracy is improved by fitting the total emission data which includes the...

  19. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Solar Sandia Labs Releases New Version of PVLib Toolbox Sandia has released version 1.3 of PVLib, its widely used Matlab toolbox for modeling photovoltaic (PV) power ...

  20. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Sandia Will Host PV Bankability Workshop at Solar Power International (SPI) 2013 Computational Modeling & Simulation, Distribution Grid Integration, Energy, Facilities, Grid ...

  1. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Science and Actuarial Practice" Read More Permalink New Project Is the ACME of Computer Science to Address Climate Change Analysis, Climate, Global Climate & Energy, Modeling, ...

  2. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Though adequate for modeling mean transport, this approach does not address ... Microphysics such as diffusive transport and chemical kinetics are represented by ...

  3. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    with application in modeling NDCX-II experiments Wangyi Liu 1 , John Barnard 2 , Alex Friedman 2 , Nathan Masters 2 , Aaron Fisher 2 , Alice Koniges 2 , David Eder 2 1 LBNL, USA, 2...

  4. Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NASA Earth at Night Video EC, Energy, Energy Efficiency, Global, Modeling, News & Events, Solid-State Lighting, Videos NASA Earth at Night Video Have you ever wondered what the ...

  5. EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1

    SciTech Connect (OSTI)

    Not Available

    1994-04-11

    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.

  6. Dependence in probabilistic modeling, Dempster-Shafer theory, and probability bounds analysis.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Tucker, W. Troy; Zhang, Jianzhong; Ginzburg, Lev; Berleant, Daniel J.; Ferson, Scott; Hajagos, Janos; Nelsen, Roger B.

    2004-10-01

    This report summarizes methods to incorporate information (or lack of information) about inter-variable dependence into risk assessments that use Dempster-Shafer theory or probability bounds analysis to address epistemic and aleatory uncertainty. The report reviews techniques for simulating correlated variates for a given correlation measure and dependence model, computation of bounds on distribution functions under a specified dependence model, formulation of parametric and empirical dependence models, and bounding approaches that can be used when information about the intervariable dependence is incomplete. The report also reviews several of the most pervasive and dangerous myths among risk analysts about dependence in probabilistic models.

  7. Robust Decision-making Applied to Model Selection

    SciTech Connect (OSTI)

    Hemez, Francois M.

    2012-08-06

    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.

  8. RELAP5/MOD2 models and correlations

    SciTech Connect (OSTI)

    Dimenna, R.A.; Larson, J.R.; Johnson, R.W.; Larson, T.K.; Miller, C.S.; Streit, J.E.; Hanson, R.G.; Kiser, D.M.

    1988-08-01

    A review of the RELAP5/MOD2 computer code has been performed to assess the basis for the models and correlations comprising the code. The review has included verification of the original data base, including thermodynamic, thermal-hydraulic, and geothermal conditions; simplifying assumptions in implementation or application; and accuracy of implementation compared to documented descriptions of each of the models. An effort has been made to provide the reader with an understanding of what is in the code and why it is there and to provide enough information that an analyst can assess the impact of the correlation or model on the ability of the code to represent the physics of a reactor transient. Where assessment of the implemented versions of the models or correlations has been accomplished and published, the assessment results have been included.

  9. Modeling

    SciTech Connect (OSTI)

    Loth, E.; Tryggvason, G.; Tsuji, Y.; Elghobashi, S. E.; Crowe, Clayton T.; Berlemont, A.; Reeks, M.; Simonin, O.; Frank, Th; Onishi, Yasuo; Van Wachem, B.

    2005-09-01

    Slurry flows occur in many circumstances, including chemical manufacturing processes, pipeline transfer of coal, sand, and minerals; mud flows; and disposal of dredged materials. In this section we discuss slurry flow applications related to radioactive waste management. The Hanford tank waste solids and interstitial liquids will be mixed to form a slurry so it can be pumped out for retrieval and treatment. The waste is very complex chemically and physically. The ARIEL code is used to model the chemical interactions and fluid dynamics of the waste.

  10. EIA model documentation: Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1994-02-24

    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 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. The 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; and Appendix E, Data Quality; and Appendix F, Estimation Methodologies.

  11. Petroleum Market Model of the National Energy Modeling System

    SciTech Connect (OSTI)

    1997-01-01

    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.

  12. Interdisciplinary Economist/Operations Research Analyst/Survey Statistician

    Broader source: Energy.gov [DOE]

    This position is located within Office of Energy Consumption and Efficiency Statistics, Assistant Administrator for Energy Statistics, U.S. Energy Information Administration (EIA) The Office of...

  13. Analyst-Driven Knowledge Enhancement & Analysis version 1.0

    Energy Science and Technology Software Center (OSTI)

    2008-06-27

    AKEA provides tools for the creation, maintenance, visualization, and analysis of information expressed in semantic graph form. It is capable of taking information expressed in unstructured text documents or structured data documents (e.g., spreadsheets, databases), ingesting it and extracting entities and relationships of interest, then presenting said information in graphical form. In addition, it contains tools for applying traditional social network analysis algorithms to the generated graphs in order to identify key players or entitiesmore » with particular characteristics, geospatial and temporal visualization of said data, and user-controlled storage of information to support future analysis needs.« less

  14. Cost/Price Analyst | Princeton Plasma Physics Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    subcontracts. *Act as a consultant and provide advice to Cost Compliance personnel on the pricing of complex contracts andor agreements. *Perform analysis and provide assistance...

  15. Analyst-Driven Knowledge Enhancement & Analysis version 1.0

    SciTech Connect (OSTI)

    2008-06-27

    AKEA provides tools for the creation, maintenance, visualization, and analysis of information expressed in semantic graph form. It is capable of taking information expressed in unstructured text documents or structured data documents (e.g., spreadsheets, databases), ingesting it and extracting entities and relationships of interest, then presenting said information in graphical form. In addition, it contains tools for applying traditional social network analysis algorithms to the generated graphs in order to identify key players or entities with particular characteristics, geospatial and temporal visualization of said data, and user-controlled storage of information to support future analysis needs.

  16. Sr. Business Analyst - Supply Chain Mgmt. (Term Position) | Princeton...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Supply Chain Mgmt. (Term Position) Department: Business Operations Supervisor(s): Jaclyn Pursell Staff: AM 5 Requisition Number: 1500993 Princeton Plasma Physics Lab (PPPL) is...

  17. Analyst-Driven Knowledge Enhancement & Analysis version 1.0

    Energy Science and Technology Software Center (OSTI)

    2008-06-27

    AKEA provides tools for the creation, maintenance, visualization, and analysis of information expressed in semantic graph form. It is capable of taking information expressed in unstructured text documents or structured data documents (e.g., spreadsheets, databases), ingesting it and extracting entities and relationships of interest, then presenting said information in graphical form. In addition, it contains tools for applying traditional social network analysis algorithms to the generated graphs in order to identify key players or entitiesmorewith particular characteristics, geospatial and temporal visualization of said data, and user-controlled storage of information to support future analysis needs.less

  18. 10 Questions for a Wind & Solar Integration Analyst: Kirsten Orwig

    Office of Energy Efficiency and Renewable Energy (EERE)

    Kirsten Orwig shares how her experiences in storm chasing led her to this position at National Renewable Energy Laboratory (NREL) and why understanding meteorology is important for advancing reliable solar and wind energy.

  19. Model documentation report: Residential sector demand module of the national energy modeling system

    SciTech Connect (OSTI)

    1998-01-01

    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.

  20. Petroleum Market Model of the National Energy Modeling System. Part 1

    SciTech Connect (OSTI)

    1997-12-18

    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.

  1. EIA model documentation: Petroleum market model of the national energy modeling system

    SciTech Connect (OSTI)

    1995-12-28

    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.

  2. Model documentation: Natural Gas Transmission and Distribution Model of the National Energy Modeling System; Volume 1

    SciTech Connect (OSTI)

    1994-02-24

    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).

  3. Modeling and Simulating Blast Effects on Electric Substations

    SciTech Connect (OSTI)

    Lyle G. Roybal; Robert F. Jeffers; Kent E. McGillivary; Tony D. Paul; Ryan Jacobson

    2009-05-01

    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.

  4. Modeling and Analysis of CSP Systems (Fact Sheet), Thermal Systems...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NREL analysts use the data to develop case-specific maps of solar potential for policymakers and for related studies, such as the Western Governors' Association Renewable Energy ...

  5. Manufacturing Cost Levelization Model – A User’s Guide

    SciTech Connect (OSTI)

    Morrow, William R.; Shehabi, Arman; Smith, Sarah Josephine

    2015-08-01

    The Manufacturing Cost Levelization Model is a cost-performance techno-economic model that estimates total large-scale manufacturing costs for necessary to produce a given product. It is designed to provide production cost estimates for technology researchers to help guide technology research and development towards an eventual cost-effective product. The model presented in this user’s guide is generic and can be tailored to the manufacturing of any product, including the generation of electricity (as a product). This flexibility, however, requires the user to develop the processes and process efficiencies that represents a full-scale manufacturing facility. The generic model is comprised of several modules that estimate variable costs (material, labor, and operating), fixed costs (capital & maintenance), financing structures (debt and equity financing), and tax implications (taxable income after equipment and building depreciation, debt interest payments, and expenses) of a notional manufacturing plant. A cash-flow method is used to estimate a selling price necessary for the manufacturing plant to recover its total cost of production. A levelized unit sales price ($ per unit of product) is determined by dividing the net-present value of the manufacturing plant’s expenses ($) by the net present value of its product output. A user defined production schedule drives the cash-flow method that determines the levelized unit price. In addition, an analyst can increase the levelized unit price to include a gross profit margin to estimate a product sales price. This model allows an analyst to understand the effect that any input variables could have on the cost of manufacturing a product. In addition, the tool is able to perform sensitivity analysis, which can be used to identify the key variables and assumptions that have the greatest influence on the levelized costs. This component is intended to help technology researchers focus their research attention on tasks

  6. Natural Gas Transmission and Distribution Model of the National Energy Modeling System. Volume 1

    SciTech Connect (OSTI)

    1998-01-01

    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.

  7. Responder Technology Alert Monthly (December 2014)

    SciTech Connect (OSTI)

    Upton, Jaki F.; Stein, Steven L.

    2015-02-13

    As part of technology foraging for the Responder Technology Alliance, established by the Department of Homeland Science and Technologies First Responders Group, this report summarizes technologies that are relevant in the area of “wearables,” with the potential for use by first responders. The content was collected over the previous month(s) and reproduced from a general Internet search using the term wearables. Additional information is available at the websites provided. This report is not meant to be an exhaustive list nor an endorsement of any technology described herein. Rather, it is meant to provide useful information about current developments in the areas wearable technology.

  8. Responder Technology Alert Monthly (January 2015)

    SciTech Connect (OSTI)

    Upton, Jaki F.; Stein, Steven L.

    2015-02-01

    As part of technology foraging for the Responder Technology Alliance, established by the Department of Homeland Science and Technologies First Responders Group, this report summarizes technologies that are relevant in the area of “wearables,” with the potential for use by first responders. The content was collected over the previous month(s) and reproduced from a general Internet search using the term wearables. Additional information is available at the websites provided. This report is not meant to be an exhaustive list nor an endorsement of any technology described herein. Rather, it is meant to provide useful information about current developments in the areas wearable technology.

  9. Responder Technology Alert (February 2015) (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    Close Cite: Bibtex Format Close 0 pages in this document matching the terms "" Search For Terms: Enter terms in the toolbar above to search the full text of this document for ...

  10. Management Alert: DOE/IG-0939

    Office of Energy Efficiency and Renewable Energy (EERE)

    Review of Allegations of Improper Disclosure of Confidential, Nonpublic Federal Energy Regulatory Commission Information

  11. Advanced Small Modular Reactor Economics Model Development

    SciTech Connect (OSTI)

    Harrison, Thomas J.

    2014-10-01

    The US Department of Energy Office of Nuclear Energy’s Advanced Small Modular Reactor (SMR) research and development activities focus on four key areas: Developing assessment methods for evaluating advanced SMR technologies and characteristics; and Developing and testing of materials, fuels and fabrication techniques; and Resolving key regulatory issues identified by US Nuclear Regulatory Commission and industry; and Developing advanced instrumentation and controls and human-machine interfaces. This report focuses on development of assessment methods to evaluate advanced SMR technologies and characteristics. Specifically, this report describes the expansion and application of the economic modeling effort at Oak Ridge National Laboratory. Analysis of the current modeling methods shows that one of the primary concerns for the modeling effort is the handling of uncertainty in cost estimates. Monte Carlo–based methods are commonly used to handle uncertainty, especially when implemented by a stand-alone script within a program such as Python or MATLAB. However, a script-based model requires each potential user to have access to a compiler and an executable capable of handling the script. Making the model accessible to multiple independent analysts is best accomplished by implementing the model in a common computing tool such as Microsoft Excel. Excel is readily available and accessible to most system analysts, but it is not designed for straightforward implementation of a Monte Carlo–based method. Using a Monte Carlo algorithm requires in-spreadsheet scripting and statistical analyses or the use of add-ons such as Crystal Ball. An alternative method uses propagation of error calculations in the existing Excel-based system to estimate system cost uncertainty. This method has the advantage of using Microsoft Excel as is, but it requires the use of simplifying assumptions. These assumptions do not necessarily bring into question the analytical results. In fact, the

  12. Improved Coefficient Calculator for the California Energy Commission 6 Parameter Photovoltaic Module Model

    SciTech Connect (OSTI)

    Dobos, A. P.

    2012-05-01

    This paper describes an improved algorithm for calculating the six parameters required by the California Energy Commission (CEC) photovoltaic (PV) Calculator module model. Rebate applications in California require results from the CEC PV model, and thus depend on an up-to-date database of module characteristics. Currently, adding new modules to the database requires calculating operational coefficients using a general purpose equation solver - a cumbersome process for the 300+ modules added on average every month. The combination of empirical regressions and heuristic methods presented herein achieve automated convergence for 99.87% of the 5487 modules in the CEC database and greatly enhance the accuracy and efficiency by which new modules can be characterized and approved for use. The added robustness also permits general purpose use of the CEC/6 parameter module model by modelers and system analysts when standard module specifications are known, even if the module does not exist in a preprocessed database.

  13. Adversary Sequence Interruption Model

    Energy Science and Technology Software Center (OSTI)

    1985-11-15

    PC EASI is an IBM personal computer or PC-compatible version of an analytical technique for measuring the effectiveness of physical protection systems. PC EASI utilizes a methodology called Estimate of Adversary Sequence Interruption (EASI) which evaluates the probability of interruption (PI) for a given sequence of adversary tasks. Probability of interruption is defined as the probability that the response force will arrive before the adversary force has completed its task. The EASI methodology is amore » probabilistic approach that analytically evaluates basic functions of the physical security system (detection, assessment, communications, and delay) with respect to response time along a single adversary path. It is important that the most critical scenarios for each target be identified to ensure that vulnerabilities have not been overlooked. If the facility is not overly complex, this can be accomplished by examining all paths. If the facility is complex, a global model such as Safeguards Automated Facility Evaluation (SAFE) may be used to identify the most vulnerable paths. PC EASI is menu-driven with screen forms for entering and editing the basic scenarios. In addition to evaluating PI for the basic scenario, the sensitivities of many of the parameters chosen in the scenario can be analyzed. These sensitivities provide information to aid the analyst in determining the tradeoffs for reducing the probability of interruption. PC EASI runs under the Micro Data Base Systems'' proprietary database management system Knowledgeman. KMAN provides the user environment and file management for the specified basic scenarios, and KGRAPH the graphical output of the sensitivity calculations. This software is not included. Due to errors in release 2 of KMAN, PC EASI will not execute properly; release 1.07 of KMAN is required.« less

  14. Model documentation: Renewable Fuels Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    Not Available

    1994-04-01

    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.

  15. An economic feasibility analysis of distributed electric power generation based upon the natural gas-fired fuel cell: a model of a central utility plant.

    SciTech Connect (OSTI)

    Not Available

    1993-06-30

    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.

  16. New models for success emerge for US natural gas industry

    SciTech Connect (OSTI)

    Addy, W.M. ); Hutchinson, R.A. )

    1994-11-14

    Very few companies in the US natural gas industry are confident in their ability to compete effectively in the brave new world of deregulation. Boston Consulting Group recently conducted an internal study to help the industry think about its future and identify models for success in this new environment. The authors examined the historical performance of 800 companies using several shareholder-value indicators, including cash-flow returns on investment, a measure of cash returns on cash invested that correlates closely to share price. Based on that review and discussions with investment managers and industry analysts, the authors were able to focus on a handful of companies that actually have thrived and created value against the difficult landscape of the past decade. Interviews with their senior executives provided important strategic and operational insights.

  17. Generalized Environment for Modeling Systems

    Energy Science and Technology Software Center (OSTI)

    2012-02-07

    GEMS is an integrated environment that allows technical analysts, modelers, researchers, etc. to integrate and deploy models and/or decision tools with associated data to the internet for direct use by customers. GEMS does not require that the model developer know how to code or script and therefore delivers this capability to a large group of technical specialists. Customers gain the benefit of being able to execute their own scenarios directly without need for technical support.more » GEMS is a process that leverages commercial software products with specialized codes that add connectivity and unique functions to support the overall capability. Users integrate pre-existing models with a commercial product and store parameters and input trajectories in a companion commercial database. The model is then exposed into a commercial web environment and a graphical user interface (GUI) is applied by the model developer. Users execute the model through the web based GUI and GEMS manages supply of proper inputs, execution of models, routing of data to models and display of results back to users. GEMS works in layers, the following description is from the bottom up. Modelers create models in the modeling tool of their choice such as Excel, Matlab, or Fortran. They can also use models from a library of previously wrapped legacy codes (models). Modelers integrate the models (or a single model) by wrapping and connecting the models using the Phoenix Integration tool entitled ModelCenter. Using a ModelCenter/SAS plugin (DOE copyright CW-10-08) the modeler gets data from either an SAS or SQL database and sends results back to SAS or SQL. Once the model is working properly, the ModelCenter file is saved and stored in a folder location to which a SharePoint server tool created at INL is pointed. This enables the ModelCenter model to be run from SharePoint. The modeler then goes into Microsoft SharePoint and creates a graphical user interface (GUI) using the ModelCenter Web

  18. Computational Human Performance Modeling For Alarm System Design

    SciTech Connect (OSTI)

    Jacques Hugo

    2012-07-01

    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.

  19. An approach to model validation and model-based prediction -- polyurethane foam case study.

    SciTech Connect (OSTI)

    Dowding, Kevin J.; Rutherford, Brian Milne

    2003-07-01

    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

  20. Subject: Yellow Alert- Steam Valve Near-Miss Title: Yellow Alert...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    able to assure himself of the proper way to remove the actuator and did not obtain enough knowledge of the planned work to determine if the job could be executed safely. (Error...

  1. Argonne's Michael Wang talks about the GREET Model for reducing vehicle emi

    ScienceCinema (OSTI)

    Michael Wang

    2013-06-05

    To fully evaluate energy and emission impacts of advanced vehicle technologies and new transportation fuels, the fuel cycle from wells to wheels and the vehicle cycle through material recovery and vehicle disposal need to be considered. Sponsored by the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy (EERE), Argonne has developed a full life-cycle model called GREET (Greenhouse gases, Regulated Emissions, and Energy use in Transportation). It allows researchers and analysts to evaluate various vehicle and fuel combinations on a full fuel-cycle/vehicle-cycle basis. The first version of GREET was released in 1996. Since then, Argonne has continued to update and expand the model. The most recent GREET versions are the GREET 1 2012 version for fuel-cycle analysis and GREET 2.7 version for vehicle-cycle analysis.

  2. Renewable Energy and Efficiency Modeling Analysis Partnership: An Analysis of How Different Energy Models Addressed a Common High Renewable Energy Penetration Scenario in 2025

    SciTech Connect (OSTI)

    Blair, N.; Jenkin, T.; Milford, J.; Short, W.; Sullivan, P.; Evans, D.; Lieberman, E.; Goldstein, G.; Wright, E.; Jayaraman, K.; Venkatech, B.; Kleiman, G.; Namovicz, C.; Smith, B.; Palmer, K.; Wiser, R.; Wood, F.

    2009-09-30

    The Renewable Energy and Efficiency Modeling and Analysis Partnership (REMAP) sponsors ongoing workshops to discuss individual 'renewable' technologies, energy/economic modeling, and - to some extent - policy issues related to renewable energy. Since 2002, the group has organized seven workshops, each focusing on a different renewable technology (geothermal, solar, wind, etc.). These workshops originated and continue to be run under an informal partnership of the Environmental Protection Agency (EPA), the Department of Energy's (DOE) Office of Energy Efficiency and Renewable Energy (EERE), the National Renewable Energy Laboratory (NREL), and the American Council on Renewable Energy (ACORE). EPA originally funded the activities, but support is now shared between EPA and EERE. REMAP has a wide range of participating analysts and models/modelers that come from government, the private sector, and academia. Modelers include staff from the Energy Information Administration (EIA), the American Council for an Energy-Efficient Economy (ACEEE), NREL, EPA, Resources for the Future (RFF), Argonne National Laboratory (ANL), Northeast States for Coordinated Air Use Management (NESCAUM), Regional Economic Models Inc. (REMI), ICF International, OnLocation Inc., and Boston University. The working group has more than 40 members, which also includes representatives from DOE, Lawrence Berkeley National Laboratory (LBNL), Union of Concerned Scientists (UCS), Massachusetts Renewable Energy Trust, Federal Energy Regulatory Commission (FERC), and ACORE. This report summarizes the activities and findings of the REMAP activity that started in late 2006 with a kickoff meeting, and concluded in mid-2008 with presentations of final results. As the project evolved, the group compared results across models and across technologies rather than just examining a specific technology or activity. The overall goal was to better understand how and why different energy models give similar and

  3. Integration of facility modeling capabilities for nuclear nonproliferation analysis

    SciTech Connect (OSTI)

    Garcia, Humberto; Burr, Tom; Coles, Garill A; Edmunds, Thomas A.; Garrett, Alfred; Gorensek, Maximilian; Hamm, Luther; Krebs, John; Kress, Reid L; Lamberti, Vincent; Schoenwald, David; Tzanos, Constantine P; Ward, Richard C

    2012-01-01

    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.

  4. INTEGRATION OF FACILITY MODELING CAPABILITIES FOR NUCLEAR NONPROLIFERATION ANALYSIS

    SciTech Connect (OSTI)

    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.

    2011-07-18

    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.

  5. Development of Probabilistic Risk Assessment Model for BWR Shutdown Modes 4 and 5 Integrated in SPAR Model

    SciTech Connect (OSTI)

    S. T. Khericha; S. Sancakter; J. Mitman; J. Wood

    2010-06-01

    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 Commissions (NRCs) 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 operators ability to diagnose the events and provide long term cooling.

  6. A Proposed Implementation of Tarjan's Algorithm for Scheduling the Solution Sequence of Systems of Federated Models

    SciTech Connect (OSTI)

    McNunn, Gabriel S; Bryden, Kenneth M

    2013-01-01

    Tarjan's algorithm schedules the solution of systems of equations by noting the coupling and grouping between the equations. Simulating complex systems, e.g., advanced power plants, aerodynamic systems, or the multi-scale design of components, requires the linkage of large groups of coupled models. Currently, this is handled manually in systems modeling packages. That is, the analyst explicitly defines both the method and solution sequence necessary to couple the models. In small systems of models and equations this works well. However, as additional detail is needed across systems and across scales, the number of models grows rapidly. This precludes the manual assembly of large systems of federated models, particularly in systems composed of high fidelity models. This paper examines extending Tarjan's algorithm from sets of equations to sets of models. The proposed implementation of the algorithm is demonstrated using a small one-dimensional system of federated models representing the heat transfer and thermal stress in a gas turbine blade with thermal barrier coating. Enabling the rapid assembly and substitution of different models permits the rapid turnaround needed to support the what-if kinds of questions that arise in engineering design.

  7. Surety of human elements of high consequence systems: An organic model

    SciTech Connect (OSTI)

    FORSYTHE,JAMES C.; WENNER,CAREN A.

    2000-04-25

    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.

  8. Modeling & Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Facilities, Modeling, Modeling, Modeling & Analysis, Modeling & Analysis, Renewable Energy, Research & Capabilities, Wind Energy, Wind News Virtual LIDAR Model Helps Researchers ...

  9. Model Documentation Report: Natural Gas Transmission and Distribution...

    Gasoline and Diesel Fuel Update (EIA)

    on the same source and analyst judgment. The production growth rate is adjusted using an additive factor based on the degree to which the average lower 48 wellhead price varies...

  10. Amgad Elgowainy | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Amgad Elgowainy Team Leader/Principal Energy Systems Analyst E-mail aelgowainy@anl.gov Projects Models and Tools

  11. Health effects models for nuclear power plant accident consequence analysis: Low LET radiation: Part 2, Scientific bases for health effects models

    SciTech Connect (OSTI)

    Abrahamson, S.; Bender, M.; Book, S.; Buncher, C.; Denniston, C.; Gilbert, E.; Hahn, F.; Hertzberg, V.; Maxon, H.; Scott, B.

    1989-05-01

    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.

  12. AskIT Service Desk Support Value Model

    SciTech Connect (OSTI)

    Ashcraft, Phillip Lynn; Cummings, Susan M.; Fogle, Blythe G.; Valdez, Christopher D.

    2015-08-07

    The value model discussed herein provides an accurate and simple calculation of the funding required to adequately staff the AskIT Service Desk (SD).  The model is incremental – only technical labor cost is considered.  All other costs, such as management, equipment, buildings, HVAC, and training are considered common elements of providing any labor related IT Service. Depending on the amount of productivity loss and the number of hours the defect was unresolved, the value of resolving work from the SD is unquestionably an economic winner; the average cost of $16 per SD resolution can commonly translate to cost avoidance exceeding well over $100. Attempting to extract too much from the SD will likely create a significant downside. The analysis used to develop the value model indicates that the utilization of the SD is very high (approximately 90%).  As a benchmark, consider a comment from a manager at Vitalyst (a commercial IT service desk) that their utilization target is approximately 60%.  While high SD utilization is impressive, over the long term it is likely to cause unwanted consequences to staff such as higher turnover, illness, or burnout.  A better solution is to staff the SD so that analysts have time to improve skills through training, develop knowledge, improve processes, collaborate with peers, and improve customer relationship skills.

  13. Source-term development for a contaminant plume for use by multimedia risk assessment models

    SciTech Connect (OSTI)

    Whelan, Gene ); McDonald, John P. ); Taira, Randal Y. ); Gnanapragasam, Emmanuel K.; Yu, Charley; Lew, Christine S.; Mills, William B.

    1999-12-01

    Multimedia modelers from the U.S. Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE) are collaborating to conduct a comprehensive and quantitative benchmarking analysis of four intermedia models: DOE's Multimedia Environmental Pollutant Assessment System (MEPAS), EPA's MMSOILS, EPA's PRESTO, and DOE's RESidual RADioactivity (RESRAD). These models represent typical analytically, semi-analytically, and empirically based tools that are utilized in human risk and endangerment assessments for use at installations containing radioactive and/or hazardous contaminants. Although the benchmarking exercise traditionally emphasizes the application and comparison of these models, the establishment of a Conceptual Site Model (CSM) should be viewed with equal importance. This paper reviews an approach for developing a CSM of an existing, real-world, Sr-90 plume at DOE's Hanford installation in Richland, Washington, for use in a multimedia-based benchmarking exercise bet ween MEPAS, MMSOILS, PRESTO, and RESRAD. In an unconventional move for analytically based modeling, the benchmarking exercise will begin with the plume as the source of contamination. The source and release mechanism are developed and described within the context of performing a preliminary risk assessment utilizing these analytical models. By beginning with the plume as the source term, this paper reviews a typical process and procedure an analyst would follow in developing a CSM for use in a preliminary assessment using this class of analytical tool.

  14. Carbon Disclosure Project Webinar: Climate Change: A Challenge for Bond Analysts

    Broader source: Energy.gov [DOE]

    Hosted by the Carbon Disclosure Project, this webinar will cover climate change and how its impacts can present significant risks for municipalities and municipal bond investors.

  15. EIA model documentation: Documentation of the Oil and Gas Supply Module (OGSM)

    SciTech Connect (OSTI)

    1997-01-01

    The purpose of this report is to define 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. Projected production estimates of US crude oil and natural gas are based on supply functions generated endogenously within National Energy Modeling System (NEMS) by the OGSM. OGSM encompasses domestic crude oil and natural gas supply by both conventional and nonconventional recovery techniques. Nonconventional recovery includes enhanced oil recovery (EOR), and unconventional gas recovery (UGR) from tight gas formations, Devonian shale and coalbeds. Crude oil and natural gas projects are further disaggregated by geographic region. OGSM projects US domestic oil and gas supply for six Lower 48 onshore regions, three offshore regions, and Alaska. The general methodology relies on forecasted drilling expenditures and average drilling costs to determine exploratory and developmental drilling levels for each region and fuel type. These projected drilling levels translate into reserve additions, as well as a modification of the production capacity for each region. OGSM also represents foreign trade in natural gas, imports and exports by entry region.

  16. Development of Simplified Probabilistic Risk Assessment Model for Seismic Initiating Event

    SciTech Connect (OSTI)

    S. Khericha; R. Buell; S. Sancaktar; M. Gonzalez; F. Ferrante

    2012-06-01

    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 Commissions (NRCs) 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 components 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 NRCs ability to include seismic hazards in risk assessments for operational events in support of the reactor oversight program (e.g., significance determination process).

  17. Towards Efficient Collaboration in Cyber Security

    SciTech Connect (OSTI)

    Hui, Peter SY; Bruce, Joseph R.; Fink, Glenn A.; Gregory, Michelle L.; Best, Daniel M.; McGrath, Liam R.; Endert, Alexander

    2010-06-03

    Cyber security analysts in different geographical and organizational domains are often largely tasked with similar duties, albeit with domain-specific variations. These analysts necessarily perform much of the same work independently for instance, analyzing the same list of security bulletins released by largely the same set of software vendors. As such, communication and collaboration between such analysts would be mutually beneficial to the analysts involved, potentially reducing redundancy and offering the opportunity to preemptively alert each other to high-severity security alerts in a more timely fashion. However, several barriers to practical and efficient collaboration exist, and as such, no such framework exists to support such efforts. In this paper, we discuss the inherent difficulties which make efficient collaboration between cyber security analysts a difficult goal to achieve. We discuss preliminary ideas and concepts towards a collaborative cyber-security framework currently under development, whose goal is to facilitate analyst collaboration across these boundaries. While still in its early stages, we describe work-in-progress towards achieving this goal, including motivation, functionality, concepts, and a high-level description of the proposed system architecture.

  18. Integration of facility modeling capabilities for nuclear nonproliferation analysis

    SciTech Connect (OSTI)

    Burr, Tom; Gorensek, M. B.; Krebs, John; Kress, Reid L; Lamberti, Vincent; Schoenwald, David; Ward, Richard C

    2012-01-01

    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.

  19. Climate Models from the Joint Global Change Research Institute

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Staff at the Joint Institute develop and use models to simulate the economic and physical impacts of global change policy options. The GCAM, for example, gives analysts insight into how regional and national economies might respond to climate change mitigation policies including carbon taxes, carbon trading, and accelerated deployment of energy technology. Three available models are Phoenix, GCAM, and EPIC. Phoenix is a global, dynamic recursive, computable general equilibrium model that is solved in five-year time steps from 2005 through 2100 and divides the world into twenty-four regions. Each region includes twenty-six industrial sectors. Particular attention is paid to energy production in Phoenix. There are nine electricity-generating technologies (coal, natural gas, oil, biomass, nuclear, hydro, wind, solar, and geothermal) and four additional energy commodities: crude oil, refined oil products, coal, and natural gas. Phoenix is designed to answer economic questions related to international climate and energy policy and international trade. Phoenix replaces the Second Generation Model (SGM) that was formerly used for general equilibrium analysis at JGCRI. GCAM is the Global Change Assessment Model, a partial equilibrium model of the world with 14 regions. GCAM operates in 5 year time steps from 1990 to 2095 and is designed to examine long-term changes in the coupled energy, agriculture/land-use, and climate system. GCAM includes a 151-region agriculture land-use module and a reduced form carbon cycle and climate module in addition to its incorporation of demographics, resources, energy production and consumption. The model has been used extensively in a number of assessment and modeling activities such as the Energy Modeling Forum (EMF), the U.S. Climate Change Technology Program, and the U.S. Climate Change Science Program and IPCC assessment reports. GCAM is now freely available as a community model. The Environmental Policy Integrated Climate (EPIC) Model

  20. Modeling of Uncertainties in Major Drivers in U.S. Electricity Markets: Preprint

    SciTech Connect (OSTI)

    Short, W.; Ferguson, T.; Leifman, M.

    2006-09-01

    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.

  1. Subscribe Today to E-mail Alerts from GTO

    Broader source: Energy.gov [DOE]

    Sign up today to get the most up-to-date information on Geothermal Technologies Office (GTO)-sponsored webinars and funding announcements as they become available—delivered right to your inbox for free.

  2. 2014 Clean Cities selectionsproject table for progress alert...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    customer awareness and demand for PHEVs by placing vehicles in the hands of social media influencers. The project will conduct extended test drives with selected PHEV...

  3. MANAGEMENT ALERT: DOE/IG-0922 | Department of Energy

    Broader source: Energy.gov (indexed) [DOE]

    and dispersible TRU waste from LANL to the Department's Waste Isolation Pilot Plant (WIPP) located in Carlsbad, New Mexico, for permanent disposal by June 30, 2014. The...

  4. Alert! Industry and Academia - The Energy Department Seeks Your...

    Broader source: Energy.gov (indexed) [DOE]

    as improved recovery and use of waste heat), and improve the cost-competitiveness of plants that use fossil fuels. * Reduce emissions of carbon dioxide and other flue gas...

  5. Management Alert - Extended Assignments at Princeton Plasma Physics...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    ... MANAGEMENT REACTION AND AUDITOR COMMENTS The Office of Management concurred with our ... have been helpful? 5. Please include your name and telephone number so that we may ...

  6. Subject: Yellow Alert: PCB Container Event in the PCB Storage...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    in the PCB Storage Facility IDENTIFIER: Y-1999-OR-BJCPORT-0101 DATE: January 4, 1999 LESSONS LEARNED STATEMENT: The effects of biodegradation and ambient temperature changes...

  7. Responder Technology Alert Monthly (Oct-Nov 2014)

    SciTech Connect (OSTI)

    Upton, Jaki F.; Stein, Steven L.

    2015-01-21

    As part of technology foraging for the Responder Technology Alliance, established by the Department of Homeland Science and Technologies First Responders Group, this report summarizes technologies that are relevant in the area of “wearables,” with the potential for use by first responders. The content was collected over the previous month(s) and reproduced from a general Internet search using the term wearables. Additional information is available at the websites provided. This report is not meant to be an exhaustive list nor an endorsement of any technology described herein. Rather, it is meant to provide useful information about current developments in the areas wearable technology.

  8. From: Meredith Brown Subject: Yellow Alert:...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    S. Myers, (925) 422-5143 Priority Descriptor: YellowCaution DOE Functional Category: Occupational Safety and Health User-Defined Functional Category: Keywords: Work Processes ...

  9. Management Alert: DOE/IG-0906 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Senate Energy Natural Resources Committee and also the Commission regarding an alleged leak of non-public information exposing certain electric grid vulnerabilities, and details...

  10. Management Alert: OAS-M-12-03

    Broader source: Energy.gov [DOE]

    Purchase of Computers for the U.S. Department of Agriculture Forest Service at the Savannah River Site

  11. Microsoft Word - Energy Market Alert Jan 24 2013 - Northeast...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    in New York and New England For questions or comments about this report, please contact Charles.Whitmore@eia.gov. Temperature: Both NYC and Boston expect low temperatures...

  12. Microsoft Word - Energy Market Alert Jan 23 2013 - Northeast...

    Gasoline and Diesel Fuel Update (EIA)

    in New York and New England For questions or comments about this report, please contact Christopher.Peterson@eia.gov. Temperature: Both NYC and Boston expect low...

  13. Microsoft Word - Energy Market Alert Jan 22 2013 - Northeast...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    in New York and New England For questions or comments about this report, please contact Christopher.Peterson@eia.gov. Temperature: Both New York and Boston are expecting...

  14. Microsoft Word - Energy Market Alert Jan 25 2013 - Northeast...

    Gasoline and Diesel Fuel Update (EIA)

    in New York and New England For questions or comments about this report, please contact Christopher.Peterson@eia.gov. Temperature: Both NYC and Boston expect continuing cold...

  15. Management Alert on Protective Force Training Facility Utilization...

    Broader source: Energy.gov (indexed) [DOE]

    The planned facility will allow OST to train and certify its Federal agents in physical ... were not suitable for PT training since it would mix Federal and contractor personnel. ...

  16. Management Alert - The 2020 Vision One System Proposal for Commissioni...

    Broader source: Energy.gov (indexed) [DOE]

    As part of the phased approach, the Low- Activity Waste (LAW) facility would be made ... potential benefits, early operation of the LAW facility presents significant cost, ...

  17. Recovery Act Energy Home Improvement Loan Scam Alert

    Broader source: Energy.gov [DOE]

    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...

  18. OSTIblog Articles in the customized alerts Topic | OSTI, US Dept...

    Office of Scientific and Technical Information (OSTI)

    The Web and Science: the First Twenty Years by Kate Bannan 18 Aug, 2011 in Science Communications 4366 tim-berners-lee.jpg The Web and Science: the First Twenty Years Read more ...

  19. A mid-layer model for human reliability analysis : understanding the cognitive causes of human failure events.

    SciTech Connect (OSTI)

    Shen, Song-Hua; Chang, James Y. H.; Boring,Ronald L.; Whaley, April M.; Lois, Erasmia; Hendrickson, Stacey M. Langfitt; Oxstrand, Johanna H.; Forester, John Alan; Kelly, Dana L.; Mosleh, Ali

    2010-03-01

    The Office of Nuclear Regulatory Research (RES) at the US Nuclear Regulatory Commission (USNRC) is sponsoring work in response to a Staff Requirements Memorandum (SRM) directing an effort to establish a single human reliability analysis (HRA) method for the agency or guidance for the use of multiple methods. As part of this effort an attempt to develop a comprehensive HRA qualitative approach is being pursued. This paper presents a draft of the method's middle layer, a part of the qualitative analysis phase that links failure mechanisms to performance shaping factors. Starting with a Crew Response Tree (CRT) that has identified human failure events, analysts identify potential failure mechanisms using the mid-layer model. The mid-layer model presented in this paper traces the identification of the failure mechanisms using the Information-Diagnosis/Decision-Action (IDA) model and cognitive models from the psychological literature. Each failure mechanism is grouped according to a phase of IDA. Under each phase of IDA, the cognitive models help identify the relevant performance shaping factors for the failure mechanism. The use of IDA and cognitive models can be traced through fault trees, which provide a detailed complement to the CRT.

  20. DOE/EIA-M062(2010) Model Documentation Natural Gas Transmission...

    Gasoline and Diesel Fuel Update (EIA)

    on the same source and analyst judgment. The production growth rate is adjusted using an additive factor based on the degree to which the average lower 48 wellhead price varies...

  1. Systems Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... International Strategy for Water and Land Resources in Iraq Model US-Canada Algae Biofuel ... Generation Cost Simulation Model Iraq Water-Energy-Food Model The USMexico ...

  2. GEO-ENGINEERING MODELING THROUGH INTERNET INFORMATICS (GEMINI)

    SciTech Connect (OSTI)

    W. Lynn Watney; John H. Doveton

    2004-05-13

    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.

  3. Tom Stephens | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Transportation Systems Analyst E-mail tstephens@anl.gov Projects HTEBdyn Heavy Truck Energy Balance Dynamic Model Heavy Truck Benefits Analysis Models Heavy Vehicle...

  4. Hybrid methods for cybersecurity analysis : LDRD final report.

    SciTech Connect (OSTI)

    Davis, Warren Leon,; Dunlavy, Daniel M.

    2014-01-01

    years to hours and days for the application of new modeling and analysis capabilities to emerging threats. The development and deployment framework has been generalized into the Hybrid Framework and incor- porated into several LDRD, WFO, and DOE/CSL projects and proposals. And most importantly, the Hybrid project has provided Sandia security analysts with new, scalable, extensible analytic capabilities that have resulted in alerts not detectable using their previous work ow tool sets.

  5. Modeling Vulnerability and Resilience to Climate Change: A Case Study of India and Indian States

    SciTech Connect (OSTI)

    Brenkert, Antoinette L.; Malone, Elizabeth L.

    2005-09-01

    The vulnerability of India and Indian states to climate change was assessed using the Vulnerability-Resilience Indicator Prototype (VRIP). The model was adapted from the global/country version to account for Indian dietary practices and data availability with regard to freshwater resources. Results (scaled to world values) show nine Indian states to be moderately resilient to climate change, principally because of low sulfur emissions and a relatively large percentage of unmanaged land. Six states are more vulnerable than India as a whole, attributable largely to sensitivity to sea storm surges. Analyses of results at the state level (Orissa, and comparisons between Maharashtra and Kerala, and Andhra Pradesh and Himachal Pradesh) demonstrate the value of VRIP analyses used in conjunction with other socioeconomic information to address initial questions about the sources of vulnerability in particular places. The modeling framework allows analysts and stakeholders to systematically evaluate individual and sets of indicators and to indicate where the likely vulnerabilities are in the area being assessed.

  6. Model and Analytic Processes for Export License Assessments

    SciTech Connect (OSTI)

    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

    2011-09-29

    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

  7. Modeling & Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    News & Events, Renewable Energy, Research & Capabilities, Systems Analysis, Water Power Wave-Energy-Device Modeling: Developing A 1:17 Scaled Model Many theoretical studies show ...

  8. Lifecycle Model

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-05-21

    This chapter describes the lifecycle model used for the Departmental software engineering methodology.

  9. Enduse Global Emissions Mitigation Scenarios (EGEMS): A New Generation of Energy Efficiency Policy Planning Models

    SciTech Connect (OSTI)

    McNeil, Michael A.; de la Rue du Can, Stephane; McMahon, James E.

    2009-05-29

    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.

  10. Soil quality in the Lomellina area using in vitro models and ecotoxicological assays

    SciTech Connect (OSTI)

    Baderna, Diego; Colombo, Andrea; Romeo, Margherita; Cambria, Felice; Teoldi, Federico; Lodi, Marco; Diomede, Luisa; Benfenati, Emilio

    2014-08-15

    Soil quality is traditionally evaluated by chemical characterization to determine levels of pollutants. Biological tools are now employed for soil monitoring since they can take account of the global biological effects induced by all xenobiotics. A combined monitoring of soils based on chemical analyses, human-related in vitro models and ecotoxicological assay was applied in the Lomellina, a semirural area of northern Italy. Chemical characterization indicated overall good quality of the soils, with low levels of toxic and carcinogenic pollutants such as heavy metals, PAHs, PCDD/Fs and PCBs. HepG2 cells were used as a model for the human liver and BALB/c 3T3 cells to evaluate carcinogenic potential. Cells were treated with soil extractable organic matter (EOM) and the MTS assay, DNA release and morphological transformation were selected as endpoints for toxicity and carcinogenicity. Soil EOMs induced dose-dependent inhibition of cell growth at low doses and cytotoxicity only at doses of 500 and 1000 mg soil equivalents/ml. Potential issues for human health can be hypothesized after ingestion of soil samples from some sites. No statistically significant inductions of foci were recorded after exposure to EOMs, indicating that the levels of the soil-extracted organic pollutants were too low to induce carcinogenesis in our experimental conditions. An acute phytotoxicity test and studies on Caenorhabditis elegans were used as ecotoxicological assays for plants and small invertebrates. No significant alerts for ecotoxicity were found. In this proposed case study, HepG2 cells detected differences in the toxicity of soil EOMs, indicating that this cell line could be appropriate to assess the potential harm caused by the ingestion of contaminated soil. Additional information on the carcinogenic potential of mixtures was provided by the cell transformation assay, strengthening the combined approach. - Highlights: • A combined approach for evaluation of soil quality is

  11. Modeling & Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    National Solar Thermal Test Facility Nuclear ... Climate & Earth Systems Climate Measurement & Modeling ... Tribal Energy Program Intellectual Property Current EC ...

  12. Models & Tools

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...

  13. Phenomenological Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Arctic Climate Measurements Global Climate Models Software Sustainable Subsurface ...

  14. Theory & Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing ... Heavy Duty Fuels DISI Combustion HCCISCCI Fundamentals Spray Combustion Modeling ...

  15. Characterization and validation of an in silico toxicology model to predict the mutagenic potential of drug impurities*

    SciTech Connect (OSTI)

    Valerio, Luis G.; Cross, Kevin P.

    2012-05-01

    Control and minimization of human exposure to potential genotoxic impurities found in drug substances and products is an important part of preclinical safety assessments of new drug products. The FDA's 2008 draft guidance on genotoxic and carcinogenic impurities in drug substances and products allows use of computational quantitative structureactivity relationships (QSAR) to identify structural alerts for known and expected impurities present at levels below qualified thresholds. This study provides the information necessary to establish the practical use of a new in silico toxicology model for predicting Salmonella t. mutagenicity (Ames assay outcome) of drug impurities and other chemicals. We describe the model's chemical content and toxicity fingerprint in terms of compound space, molecular and structural toxicophores, and have rigorously tested its predictive power using both cross-validation and external validation experiments, as well as case studies. Consistent with desired regulatory use, the model performs with high sensitivity (81%) and high negative predictivity (81%) based on external validation with 2368 compounds foreign to the model and having known mutagenicity. A database of drug impurities was created from proprietary FDA submissions and the public literature which found significant overlap between the structural features of drug impurities and training set chemicals in the QSAR model. Overall, the model's predictive performance was found to be acceptable for screening drug impurities for Salmonella mutagenicity. -- Highlights: ? We characterize a new in silico model to predict mutagenicity of drug impurities. ? The model predicts Salmonella mutagenicity and will be useful for safety assessment. ? We examine toxicity fingerprints and toxicophores of this Ames assay model. ? We compare these attributes to those found in drug impurities known to FDA/CDER. ? We validate the model and find it has a desired predictive performance.

  16. Reliability of Current Biokinetic and Dosimetric Models for Radionuclides: A Pilot Study

    SciTech Connect (OSTI)

    Leggett, Richard Wayne; Eckerman, Keith F; Meck, Robert A.

    2008-10-01

    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

  17. NREL: Energy Analysis - Venkat Kirshnan

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Energy Storage Dispatch in Production Costing model User and analyst (2005-2010): Siemens Power System Simulator for Engineering (PSSE), RTE's ASSESS, WEKA, MATLABSimulink ...

  18. NREL: Energy Analysis - Parthiv Kurup

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Group in the Strategic Energy Analysis Center. CSP Cost Analyst and Engineer On staff since ... Data Analysis and Visualization Group Energy Forecasting and Modeling Group ...

  19. NREL: Energy Analysis - Carolyn Davidson

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Carolyn Davidson Photo of Carolyn Davidson Carolyn Davidson is a member of the Energy Forecasting and Modeling Group in the Strategic Energy Analysis Center. Economic Analyst On...

  20. VISION Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    VISION Model (Argonne National Laboratory) Objectives To provide estimates of the potential energy use, oil use, and carbon emission impacts of advanced light- and heavy-duty ...

  1. Autonomie Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Autonomie Model (Argonne National Laboratory) Objectives Perform simulations to assess the ... performance of advanced component and powertrain technologies in a vehicle system context. ...

  2. Ventilation Model

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-05

    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 post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. The purposes of Revision 01 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of the discretization (Section 6.2.3.1), and the downstream applicability of the model results (i.e. wall heat fractions) to initialize post

  3. OSPREY Model

    SciTech Connect (OSTI)

    Veronica J. Rutledge

    2013-01-01

    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

  4. Next Generation Calibration Models with Dimensional Modeling...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Calibration Models with Dimensional Modeling Next Generation Calibration Models with ... Calibration Optimization for Next Generation Diesel Engines An Accelerated Aging ...

  5. A technical review of urban land use - transportation models as tools for evaluating vehicle travel reduction strategies

    SciTech Connect (OSTI)

    Southworth, F.

    1995-07-01

    The continued growth of highway traffic in the United States has led to unwanted urban traffic congestion as well as to noticeable urban air quality problems. These problems include emissions covered by the 1990 Clean Air Act Amendments (CAAA) and 1991 Intermodal Surface Transportation Efficiency Act (ISTEA), as well as carbon dioxide and related {open_quotes}greenhouse gas{close_quotes} emissions. Urban travel also creates a major demand for imported oil. Therefore, for economic as well as environmental reasons, transportation planning agencies at both the state and metropolitan area level are focussing a good deal of attention on urban travel reduction policies. Much discussed policy instruments include those that encourage fewer trip starts, shorter trip distances, shifts to higher-occupancy vehicles or to nonvehicular modes, and shifts in the timing of trips from the more to the less congested periods of the day or week. Some analysts have concluded that in order to bring about sustainable reductions in urban traffic volumes, significant changes will be necessary in the way our households and businesses engage in daily travel. Such changes are likely to involve changes in the ways we organize and use traffic-generating and-attracting land within our urban areas. The purpose of this review is to evaluate the ability of current analytic methods and models to support both the evaluation and possibly the design of such vehicle travel reduction strategies, including those strategies involving the reorganization and use of urban land. The review is organized into three sections. Section 1 describes the nature of the problem we are trying to model, Section 2 reviews the state of the art in operational urban land use-transportation simulation models, and Section 3 provides a critical assessment of such models as useful urban transportation planning tools. A number of areas are identified where further model development or testing is required.

  6. Models Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  7. Programming models

    SciTech Connect (OSTI)

    Daniel, David J; Mc Pherson, Allen; Thorp, John R; Barrett, Richard; Clay, Robert; De Supinski, Bronis; Dube, Evi; Heroux, Mike; Janssen, Curtis; Langer, Steve; Laros, Jim

    2011-01-14

    A programming model is a set of software technologies that support the expression of algorithms and provide applications with an abstract representation of the capabilities of the underlying hardware architecture. The primary goals are productivity, portability and performance.

  8. ISDAC Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  9. MODEL-BASED HYDROACOUSTIC BLOCKAGE ASSESSMENT AND DEVELOPMENT OF AN EXPLOSIVE SOURCE DATABASE

    SciTech Connect (OSTI)

    Matzel, E; Ramirez, A; Harben, P

    2005-07-11

    We are continuing the development of the Hydroacoustic Blockage Assessment Tool (HABAT) which is designed for use by analysts to predict which hydroacoustic monitoring stations can be used in discrimination analysis for any particular event. The research involves two approaches (1) model-based assessment of blockage, and (2) ground-truth data-based assessment of blockage. The tool presents the analyst with a map of the world, and plots raypath blockages from stations to sources. The analyst inputs source locations and blockage criteria, and the tool returns a list of blockage status from all source locations to all hydroacoustic stations. We are currently using the tool in an assessment of blockage criteria for simple direct-path arrivals. Hydroacoustic data, predominantly from earthquake sources, are read in and assessed for blockage at all available stations. Several measures are taken. First, can the event be observed at a station above background noise? Second, can we establish backazimuth from the station to the source. Third, how large is the decibel drop at one station relative to other stations. These observational results are then compared with model estimates to identify the best set of blockage criteria and used to create a set of blockage maps for each station. The model-based estimates are currently limited by the coarse bathymetry of existing databases and by the limitations inherent in the raytrace method. In collaboration with BBN Inc., the Hydroacoustic Coverage Assessment Model (HydroCAM) that generates the blockage files that serve as input to HABAT, is being extended to include high-resolution bathymetry databases in key areas that increase model-based blockage assessment reliability. An important aspect of this capability is to eventually include reflected T-phases where they reliably occur and to identify the associated reflectors. To assess how well any given hydroacoustic discriminant works in separating earthquake and in-water explosion

  10. Operations Videos

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    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

  11. Outreach Toolkit - Energy Explained, Your Guide To Understanding Energy

    Gasoline and Diesel Fuel Update (EIA)

    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

  12. A knowledge based model of electric utility operations. Final report

    SciTech Connect (OSTI)

    1993-08-11

    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.

  13. Phenomenological Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Phenomenological Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced

  14. Criticality Model

    SciTech Connect (OSTI)

    A. Alsaed

    2004-09-14

    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

  15. A SCOPING STUDY: Development of Probabilistic Risk Assessment Models for Reactivity Insertion Accidents During Shutdown In U.S. Commercial Light Water Reactors

    SciTech Connect (OSTI)

    S. Khericha

    2011-06-01

    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

  16. NREL: Transmission Grid Integration - Solar Power Data for Integration...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Studies are synthetic solar photovoltaic (PV) power ... are intended for use by energy professionals such as ... Alert The solar power datasets are modeled data, not actual ...

  17. scale model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    scale model - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy

  18. Competency Models

    Broader source: Energy.gov [DOE]

    An industry-validated competency model is an excellent tool for identifying the skills needed to succeed in a particular job, developing curricula to teach them, and benchmarking their attainment. Particularly valuable in dynamic industries like solar energy, a competency framework is critical to any training program attempting to advance lower-skilled workers into navigable career pathways, or transition higher skilled workers into new industry sectors.

  19. Systems Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear Energy

  20. Nuclear Models

    SciTech Connect (OSTI)

    Fossion, Ruben [Instituto de Ciencias Nucleares, Universidad Nacional Autonoma de Mexico, Apartado Postal 70-543, Mexico D. F., C.P. 04510 (Mexico)

    2010-09-10

    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.

  1. Strategic Plan for Nuclear Energy -- Knowledge Base for Advanced Modeling and Simulation (NE-KAMS)

    SciTech Connect (OSTI)

    Rich Johnson; Kimberlyn C. Mousseau; Hyung Lee

    2011-09-01

    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

  2. I&C Modeling in SPAR Models

    SciTech Connect (OSTI)

    John A. Schroeder

    2012-06-01

    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.

  3. Modeling natural gas reservoirs - a simple model

    SciTech Connect (OSTI)

    Collier, R.S.

    1981-10-01

    A mathematical model is developed and tested for the production of natural gas with water encroachment and gas entrapment. The model is built on the material and volumetric balance relations, the Schilthuis water drive model, and a gas entrapment mechanism which assumes that the rate of gas entrapment is proportional to the volumetric rate of water influx. This model represents an alternative to the large grid models because of its low computer, maintenance, and manpower costs. 13 refs.

  4. Liquid Fuels Market Module - NEMS Documentation

    Reports and Publications (EIA)

    2014-01-01

    Defines the objectives of the Liquid Fuels Market Model (LFMM), 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.

  5. Alert! Industry and Academia — The Energy Department Seeks Your Novel Ideas for Advanced Energy Systems

    Broader source: Energy.gov [DOE]

    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.

  6. Vital Alert's C1000 mine and tunnel radios use magnetic induction...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    In one of these projects, LANL and P&G adapted LANL's Computational Fluid Dynamics (CFD) technology and Library (CFDLib) to successfully optimize diaper manufacturing and ...

  7. E-Alerts: Energy (engine studies (energy related)). E-mail newsletter

    SciTech Connect (OSTI)

    1999-04-01

    Operation and design of engines when related to energy conservation and energy use. Covers turbine, rotary, and reciprocating engines.

  8. OSTIblog Articles in the alerts Topic | OSTI, US Dept of Energy...

    Office of Scientific and Technical Information (OSTI)

    Science.gov Mobile: Top Ten in Federal Apps by Linda McBrearty 03 Jul, 2012 in Products and Content 4733 Scigovhome640X960.jpg Science.gov Mobile: Top Ten in Federal Apps Read ...

  9. Vital Alert's C1000 mine and tunnel radios use magnetic induction, advanced

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    digital communications techniques and ultra-low frequency transmission to wirelessly provide rs in cost reduction and advantageous diaper products result from LANL projects 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

  10. E-Alerts: Combustion, engines, and propellants (reciprocation and rotating combustion engines). E-mail newsletter

    SciTech Connect (OSTI)

    1999-04-01

    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.

  11. From Meredith Brown Subject: Blue Alert- Excavation...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Cables Damaged during Excavation Work Identifier 2000-LA-LANL-ESH7-0001 Date 010700 LESSONS LEARNED- Utility survey maps should be included with excavation permit paperwork...

  12. From: Meredith Brown Subject: Green Alert: VPP...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Encourage employees to share their safety concerns through formal and informal communication channels. Priority Descriptor (optional): GreenGood Work Practice Functional ...

  13. From: Meredith Brown Subject: Green Alert: Chemically...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Priority Descriptor: GREENGood Work Practice Functional Categories (DOE): Fire Protection, Occupational Safety & Health, Research & Development Functional Categories ...

  14. E-Alerts: Environmental pollution and control (solid waste pollution and control). E-mail newsletter

    SciTech Connect (OSTI)

    1999-04-01

    The paper discusses pollution by solid wastes including garbage, scrap, junked automobiles, spoil, sludge, containers; Disposal methods such as composts or land application, injection wells, incineration, sanitary landfills; Mining wastes; Processing for separation and materials recovery; Solid waste utilization; Recycling; Biological and ecological effects; Superfund (Records of Decision, etc.); SITE technology; Laws, legislation, and regulations; Public administration; Economics; Land use. The discussion includes disposal of concentrated or pure liquids such as brines, oils, chemicals, and hazardous materials.

  15. From Meredith Brown Subject: Blue Alert- Unregistered...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Subsequently, a staff radiation worker reported that, during an inventory of classified ... The sources, along with other classified radioactive material, were stored in a lead pig ...

  16. Management Alert: OAS-RA-12-01 | Department of Energy

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    214-mile transmission line between Great Falls, Montana, and Lethbridge, Alberta, Canada ... and revenues from MATL and other new projects will not be available to fund ongoing ...

  17. Sandia Modeling Tool Webinar

    Broader source: Energy.gov [DOE]

    Webinar attendees will learn what collaborative, stakeholder-driven modeling is, how the models developed have been and could be used, and how specifically this process and resulting models might...

  18. Hydrogen Delivery Analysis Models

    Broader source: Energy.gov [DOE]

    DOE H2A Delivery Models: Components Model (delivery system component costs and performance) and Scenario Model (for urban and rural/interstate markets and demand levels, market penetration)

  19. Macro System Model (MSM)

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Macro System Model (MSM) (National Renewable Energy Laboratory) Objectives Perform rapid cross-cutting analysis that utilizes and links other models. Ensure all aspects of hydrogen pathway and cost analysis is included such as hydrogen purity, leakage, etc. Key Attributes & Strengths Easily and rapidly links modeling experts with DOE's other models that are included in the MSM. Platform, Requirements & Availability MSM is a static, cross-cutting model which links models from various

  20. Modeling of geothermal systems

    SciTech Connect (OSTI)

    Bodvarsson, G.S.; Pruess, K.; Lippmann, M.J.

    1985-03-01

    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.

  1. Hydrogen Delivery Analysis Models

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Models Amgad Elgowainy (ANL), Marianne Mintz (ANL), Jerry Gillette (ANL), Matt Ringer (NREL), Bruce Kelly (Nexant), Matt Hooks (TIAX), Daryl Brown (PNNL), and Mark Paster (DOE) September, 2007 DOE H2A Delivery Models Spreadsheet model for delivery system component costs and performance: Components Model Delivery scenario model for Urban and Rural /Interstate markets and demand levels (Mkt. Penetration) Scenario Model Estimates the cost of H 2 ($/kg) (and V2: energy and GHG) Assumes 2005 delivery

  2. Modeling and Analysis

    Broader source: Energy.gov [DOE]

    DOE modeling and analysis activities focus on reducing uncertainties and improving transparency in photovoltaics (PV) and concentrating solar power (CSP) performance modeling. The overall goal of...

  3. CAMPUS ENERGY MODEL

    Energy Science and Technology Software Center (OSTI)

    003655IBMPC00 Campus Energy Model for Control and Performance Validation https://github.com/NREL/CampusEnergyModeling/releases/tag/v0.2.1

  4. Fuel Model | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Fuels Model This model informs analyses of the availability of transportation fuel in the event the fuel supply chain is disrupted. The portion of the fuel supply system...

  5. Multiscale Subsurface Biogeochemical Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Biogeochemical Modeling Multiscale Subsurface Biogeochemical Modeling ScheibeSmaller.jpg Simulation of flow inside an experimental packed bed, performed on Franklin Key...

  6. Building Energy Modeling Library

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute ... Project Overview Building Energy Modeling (BEM) Library * Define and develop a ...

  7. PV Reliability & Performance Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reliability & Performance Model - Sandia Energy Energy Search Icon Sandia Home Locations ... Twitter Google + Vimeo GovDelivery SlideShare PV Reliability & Performance Model Home...

  8. Prediction of rodent carcinogenic potential of naturally occurring chemicals in the human diet using high-throughput QSAR predictive modeling

    SciTech Connect (OSTI)

    Valerio, Luis G. . E-mail: luis.valerio@FDA.HHS.gov; Arvidson, Kirk B.; Chanderbhan, Ronald F.; Contrera, Joseph F.

    2007-07-01

    Consistent with the U.S. Food and Drug Administration (FDA) Critical Path Initiative, predictive toxicology software programs employing quantitative structure-activity relationship (QSAR) models are currently under evaluation for regulatory risk assessment and scientific decision support for highly sensitive endpoints such as carcinogenicity, mutagenicity and reproductive toxicity. At the FDA's Center for Food Safety and Applied Nutrition's Office of Food Additive Safety and the Center for Drug Evaluation and Research's Informatics and Computational Safety Analysis Staff (ICSAS), the use of computational SAR tools for both qualitative and quantitative risk assessment applications are being developed and evaluated. One tool of current interest is MDL-QSAR predictive discriminant analysis modeling of rodent carcinogenicity, which has been previously evaluated for pharmaceutical applications by the FDA ICSAS. The study described in this paper aims to evaluate the utility of this software to estimate the carcinogenic potential of small, organic, naturally occurring chemicals found in the human diet. In addition, a group of 19 known synthetic dietary constituents that were positive in rodent carcinogenicity studies served as a control group. In the test group of naturally occurring chemicals, 101 were found to be suitable for predictive modeling using this software's discriminant analysis modeling approach. Predictions performed on these compounds were compared to published experimental evidence of each compound's carcinogenic potential. Experimental evidence included relevant toxicological studies such as rodent cancer bioassays, rodent anti-carcinogenicity studies, genotoxic studies, and the presence of chemical structural alerts. Statistical indices of predictive performance were calculated to assess the utility of the predictive modeling method. Results revealed good predictive performance using this software's rodent carcinogenicity module of over 1200 chemicals

  9. The CommonGround Visual Paradigm for Biosurveillance

    SciTech Connect (OSTI)

    Livnat, Yarden; Jurrus, Elizabeth R.; Gundlapalli, Adi V.; Gestland, Per

    2013-06-14

    Biosurveillance is a critical area in the intelligence community for real-time detection of disease outbreaks. Identifying epidemics enables analysts to detect and monitor disease outbreaks that might be spread from natural causes or from possible biological warfare attacks. Containing these events and disseminating alerts requires the ability to rapidly find, classify and track harmful biological signatures. In this paper, we describe a novel visual paradigm to conduct biosurveillance using an Infectious Disease Weather Map. Our system provides a visual common ground in which users can view, explore and discover emerging concepts and correlations such as symptoms, syndromes, pathogens, and geographic locations.

  10. Biomass Scenario Model

    SciTech Connect (OSTI)

    2015-09-01

    The Biomass Scenario Model (BSM) is a unique, carefully validated, state-of-the-art dynamic model of the domestic biofuels supply chain which explicitly focuses on policy issues, their feasibility, and potential side effects. It integrates resource availability, physical/technological/economic constraints, behavior, and policy. The model uses a system dynamics simulation (not optimization) to model dynamic interactions across the supply chain.

  11. modeling-sediment-html

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modeling of Sediment Transport and Porous Medium Response Under Current ad Waves

  12. Dynamic cable analysis models

    SciTech Connect (OSTI)

    Palo, P.A.; Meggitt, D.J.; Nordell, W.J.

    1983-05-01

    This paper presents a summary of the development and validation of undersea cable dynamics computer models by the Naval Civil Engineering Laboratory (NCEL) under the sponsorship of the Naval Facilities Engineering Command. These models allow for the analysis of both small displacement (strumming) and large displacement (static and dynamic) deformations of arbitrarily configured cable structures. All of the large displacement models described in this paper are available to the public. This paper does not emphasize the theoretical development of the models (this information is available in other references) but emphasizes the various features of the models, the comparisons between model output and experimental data, and applications for which the models have been used.

  13. Addressing the Need for Independence in the CSE Model

    SciTech Connect (OSTI)

    Abercrombie, Robert K; Ferragut, Erik M; Sheldon, Frederick T; Grimaila, Michael R

    2011-01-01

    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.

  14. Accounting for Model Error in the Calibration of Physical Models...

    Office of Scientific and Technical Information (OSTI)

    Accounting for Model Error in the Calibration of Physical Models. Citation Details In-Document Search Title: Accounting for Model Error in the Calibration of Physical Models. ...

  15. Modeling Fluid Flow in Natural Systems, Model Validation and...

    Energy Savers [EERE]

    Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Clay and granitic units are ...

  16. Hydrologic Modeling Capabilities

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Understanding complex hydrologic systems requires the ability to develop, utilize, and interpret both numerical and analytical models. The Defense Waste Management Programs has both experience and technical knowledge to use and develop Earth systems models. Hydrological Modeling Models are simplified representations of reality, which we accept do not capture every detail of reality. Mathematical and numerical models can be used to rigorously test geologic and hydrologic assumptions, determine

  17. Microsoft Word - Modeling Summary

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Estimated Onsite worker and offsite public dose Modeling has been done to estimate onsite worker and offsite public dose that may have resulted from the February 14, 2014, event. The results of the modeling indicate that all potential doses were well below the applicable regulatory limits (see results below). The modeling results are consistent with actual worker bioassay results. For modeling data see: (http://www.wipp.energy.gov/Special/Modeling Results.pdf) Estimated Dose Applicable

  18. Computational Modeling | Bioenergy | NREL

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Computational Modeling NREL uses computational modeling to increase the efficiency of biomass conversion by rational design using multiscale modeling, applying theoretical approaches, and testing scientific hypotheses. model of enzymes wrapping on cellulose; colorful circular structures entwined through blue strands Cellulosomes are complexes of protein scaffolds and enzymes that are highly effective in decomposing biomass. This is a snapshot of a coarse-grain model of complex cellulosome

  19. Ensemble Atmospheric Dispersion Modeling

    SciTech Connect (OSTI)

    Addis, R.P.

    2002-06-24

    Prognostic atmospheric dispersion models are used to generate consequence assessments, which assist decision-makers in the event of a release from a nuclear facility. Differences in the forecast wind fields generated by various meteorological agencies, differences in the transport and diffusion models, as well as differences in the way these models treat the release source term, result in differences in the resulting plumes. Even dispersion models using the same wind fields may produce substantially different plumes. This talk will address how ensemble techniques may be used to enable atmospheric modelers to provide decision-makers with a more realistic understanding of how both the atmosphere and the models behave.

  20. Yan (Joann) Zhou | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Photo of Joann Zhou Yan (Joann) Zhou Assistant Transportation Systems Analyst News Chinese delegation visits Argonne for vehicle research project meeting E-mail yzhou@anl.gov Projects Light Duty Electric Drive Vehicles Monthly Sales Updates The VISION Model

  1. Energy Department Staff Ready for Hurricane Earl

    Broader source: Energy.gov [DOE]

    The Energy Department's Response Center's advanced grid-monitoring technology provides cutting-edge visualization and modeling capabilities, giving analysts a real-time picture of the extent of the nation's power outages.

  2. Modeling EERE deployment programs

    SciTech Connect (OSTI)

    Cort, K. A.; Hostick, D. J.; Belzer, D. B.; Livingston, O. V.

    2007-11-01

    The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge for future research.

  3. System Advisor Model

    Energy Science and Technology Software Center (OSTI)

    2010-03-01

    The System Advisor Model (SAM) is a performance and economic model designed to facilitate decision making for people involved in the renewable energy industry, ranging from project managers and engineers to incentive program designers, technology developers, and researchers.

  4. Power Sector Modeling 101

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Erin Boyd Department of Energy - Office of Energy Policy and Systems Analysis erin.boyd@hq.doe.gov DOE's Technical Assistance Website www.energy.gov/ta Power Sector Modeling 101 2 Presentation Description - DOE Power Sector Modeling 101 With increased energy planning needs and new regulations, environmental agencies, state energy offices and others have expressed more of an interest in electric power sector models, both for (a) interpreting the results and potential applications of modeling from

  5. Impact-GMI Model

    Energy Science and Technology Software Center (OSTI)

    2007-03-22

    IMPACT-GMI is an atmospheric chemical transport model designed to run on massively parallel computers. It is designed to model trace pollutants in the atmosphere. It includes models for emission, chemistry and deposition of pollutants. It can be used to assess air quality and its impact on future climate change.

  6. Model Fire Protection Program

    Broader source: Energy.gov [DOE]

    To facilitate conformance with its fire safety directives and the implementation of a comprehensive fire protection program, DOE has developed a number of "model" program documents. These include a comprehensive model fire protection program, model fire hazards analyses and assessments, fire protection system inspection and testing procedures, and related material.

  7. Modeling EERE Deployment Programs

    SciTech Connect (OSTI)

    Cort, K. A.; Hostick, D. J.; Belzer, D. B.; Livingston, O. V.

    2007-11-01

    This report compiles information and conclusions gathered as part of the “Modeling EERE Deployment Programs” project. The purpose of the project was to identify and characterize the modeling of deployment programs within the EERE Technology Development (TD) programs, address possible improvements to the modeling process, and note gaps in knowledge in which future research is needed.

  8. Transportation Systems Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    TRACC RESEARCH Computational Fluid Dynamics Computational Structural Mechanics Transportation Systems Modeling TRANSPORTATION SYSTEMS MODELING Overview of TSM Transportation systems modeling research at TRACC uses the TRANSIMS (Transportation Analysis SIMulation System) traffic micro simulation code developed by the U.S. Department of Transportation (USDOT). The TRANSIMS code represents the latest generation of traffic simulation codes developed jointly under multiyear programs by USDOT, the

  9. Campus Energy Modeling Platform

    Energy Science and Technology Software Center (OSTI)

    2014-09-19

    NREL's Campus Energy Modeling project provides a suite of simulation tools for integrated, data driven energy modeling of commercial buildings and campuses using Simulink. The tools enable development of fully interconnected models for commercial campus energy infrastructure, including electrical distribution systems, district heating and cooling, onsite generation (both conventional and renewable), building loads, energy storage, and control systems.

  10. IR DIAL performance modeling

    SciTech Connect (OSTI)

    Sharlemann, E.T.

    1994-07-01

    We are developing a DIAL performance model for CALIOPE at LLNL. The intent of the model is to provide quick and interactive parameter sensitivity calculations with immediate graphical output. A brief overview of the features of the performance model is given, along with an example of performance calculations for a non-CALIOPE application.

  11. CONTENT MODEL HOW-TO

    Energy Science and Technology Software Center (OSTI)

    003241MLTPL00 Content Model Guidelines https://github.com/usgin/usginspecs/wiki/Content-Model-Guidelines

  12. The Inforum LIFT Model

    U.S. Energy Information Administration (EIA) Indexed Site

    Inforum LIFT Model U.S. Energy and Economic Outlook Douglas S. Meade 2011 EIA Energy Conference Overview  The Inforum LIFT Model  Treatment of energy flows and emissions in LIFT.  Calibrating to AEO  Model extensions  U.S. Energy and Macroeconomic Outlook  Modeling of energy and environmental regulation April 26, 2011 2 2011 EIA Energy Conference LIFT: An Interindustry Macro (IM) Model  Input-Output (IO) relationships form the core of LIFT, both for output and price

  13. UZ Colloid Transport Model

    SciTech Connect (OSTI)

    M. McGraw

    2000-04-13

    The UZ Colloid Transport model development plan states that the objective of this Analysis/Model Report (AMR) is to document the development of a model for simulating unsaturated colloid transport. This objective includes the following: (1) use of a process level model to evaluate the potential mechanisms for colloid transport at Yucca Mountain; (2) Provide ranges of parameters for significant colloid transport processes to Performance Assessment (PA) for the unsaturated zone (UZ); (3) Provide a basis for development of an abstracted model for use in PA calculations.

  14. NREL: Energy Analysis - Staff

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Staff National Renewable Energy Laboratory (NREL) analysts have capabilities that span a wide range of renewable energy technologies. This site will help you learn more about the crosscutting analysis capabilities, energy-modeling background, and technology expertise of analysts in our Strategic Energy Analysis Center (SEAC). Strategic Planning and Direction Center Director: David Mooney Business Development: Debbie Brodt-Giles Integrated Energy System Model: Mark Ruth Synthesis and Integration:

  15. Foam process models.

    SciTech Connect (OSTI)

    Moffat, Harry K.; Noble, David R.; Baer, Thomas A.; Adolf, Douglas Brian; Rao, Rekha Ranjana; Mondy, Lisa Ann

    2008-09-01

    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.

  16. Predicting the reliability of electronic circuits.

    SciTech Connect (OSTI)

    Loescher, Douglas H.

    2004-06-01

    Procedures to predict the reliability of electrical circuits are discussed. Three cases are introduced and discussed. In Case 1, an analyst predicts the probability of any failure in the intended relations between circuit inputs and circuit outputs. In Case 2, an analyst predicts the probability that specified unintended outputs would occur. In Case 3, an analyst considers coupling between circuits. Logic models are given for the three cases, and sources of failure probabilities of components are mentioned. Methods of analysis are given, software tools are mentioned, and recommendations for presentation and review of results are discussed.

  17. Ventilation Model Report

    SciTech Connect (OSTI)

    V. Chipman; J. Case

    2002-12-20

    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 post-closure analyses. The Ventilation Model report was initially developed to analyze the effects of preclosure continuous ventilation in the Engineered Barrier System (EBS) emplacement drifts, and to provide heat removal data to support EBS design. Revision 00 of the Ventilation Model included documentation of the modeling results from the ANSYS-based heat transfer model. Revision 01 ICN 01 included the results of the unqualified software code MULTIFLUX to assess the influence of moisture on the ventilation efficiency. The purposes of Revision 02 of the Ventilation Model are: (1) To validate the conceptual model for preclosure ventilation of emplacement drifts and verify its numerical application in accordance with new procedural requirements as outlined in AP-SIII-10Q, Models (Section 7.0). (2) To satisfy technical issues posed in KTI agreement RDTME 3.14 (Reamer and Williams 2001a). Specifically to demonstrate, with respect to the ANSYS ventilation model, the adequacy of

  18. Estimating a model discrepancy term for the Community Land Model...

    Office of Scientific and Technical Information (OSTI)

    ... month - The final fitted polynomial model has 10% - 20% errors - not good enough * Regression kriging - Used quadratic as a meantrend model and stationary Gaussian Process model ...

  19. Load Model Data Tool

    SciTech Connect (OSTI)

    David Chassin, Pavel Etingov

    2013-04-30

    The LMDT software automates the process of the load composite model data preparation in the format supported by the major power system software vendors (GE and Siemens). Proper representation of the load composite model in power system dynamic analysis is very important. Software tools for power system simulation like GE PSLF and Siemens PSSE already include algorithms for the load composite modeling. However, these tools require that the input information on composite load to be provided in custom formats. Preparation of this data is time consuming and requires multiple manual operations. The LMDT software enables to automate this process. Software is designed to generate composite load model data. It uses the default load composition data, motor information, and bus information as an input. Software processes the input information and produces load composition model. Generated model can be stored in .dyd format supported by GE PSLF package or .dyr format supported by Siemens PSSE package.

  20. The model coupling toolkit.

    SciTech Connect (OSTI)

    Larson, J. W.; Jacob, R. L.; Foster, I.; Guo, J.

    2001-04-13

    The advent of coupled earth system models has raised an important question in parallel computing: What is the most effective method for coupling many parallel models to form a high-performance coupled modeling system? We present our solution to this problem--The Model Coupling Toolkit (MCT). We explain how our effort to construct the Next-Generation Coupler for NCAR Community Climate System Model motivated us to create this toolkit. We describe in detail the conceptual design of the MCT and explain its usage in constructing parallel coupled models. We present preliminary performance results for the toolkit's parallel data transfer facilities. Finally, we outline an agenda for future development of the MCT.

  1. Load Model Data Tool

    Energy Science and Technology Software Center (OSTI)

    2013-04-30

    The LMDT software automates the process of the load composite model data preparation in the format supported by the major power system software vendors (GE and Siemens). Proper representation of the load composite model in power system dynamic analysis is very important. Software tools for power system simulation like GE PSLF and Siemens PSSE already include algorithms for the load composite modeling. However, these tools require that the input information on composite load to bemore » provided in custom formats. Preparation of this data is time consuming and requires multiple manual operations. The LMDT software enables to automate this process. Software is designed to generate composite load model data. It uses the default load composition data, motor information, and bus information as an input. Software processes the input information and produces load composition model. Generated model can be stored in .dyd format supported by GE PSLF package or .dyr format supported by Siemens PSSE package.« less

  2. AREST model description

    SciTech Connect (OSTI)

    Engel, D.W.; McGrail, B.P.

    1993-11-01

    The Office of Civilian Radioactive Waste Management and the Power Reactor and Nuclear Fuel Development Corporation of Japan (PNC) have supported the development of the Analytical Repository Source-Term (AREST) at Pacific Northwest Laboratory. AREST is a computer model developed to evaluate radionuclide release from an underground geologic repository. The AREST code can be used to calculate/estimate the amount and rate of each radionuclide that is released from the engineered barrier system (EBS) of the repository. The EBS is the man-made or disrupted area of the repository. AREST was designed as a system-level models to simulate the behavior of the total repository by combining process-level models for the release from an individual waste package or container. AREST contains primarily analytical models for calculating the release/transport of radionuclides to the lost rock that surrounds each waste package. Analytical models were used because of the small computational overhead that allows all the input parameters to be derived from a statistical distribution. Recently, a one-dimensional numerical model was also incorporated into AREST, to allow for more detailed modeling of the transport process with arbitrary length decay chains. The next step in modeling the EBS, is to develop a model that couples the probabilistic capabilities of AREST with a more detailed process model. This model will need to look at the reactive coupling of the processes that are involved with the release process. Such coupling would include: (1) the dissolution of the waste form, (2) the geochemical modeling of the groundwater, (3) the corrosion of the container overpacking, and (4) the backfill material, just to name a few. Several of these coupled processes are already incorporated in the current version of AREST.

  3. Modeling & Simulation publications

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Modeling and Simulation in the Chemical Sciences » 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,

  4. Liftoff Model for MELCOR.

    SciTech Connect (OSTI)

    Young, Michael F.

    2015-07-01

    Aerosol particles that deposit on surfaces may be subsequently resuspended by air flowing over the surface. A review of models for this liftoff process is presented and compared to available data. Based on this review, a model that agrees with existing data and is readily computed is presented for incorporation into a system level code such as MELCOR. Liftoff Model for MELCOR July 2015 4 This page is intentionally blank

  5. Theory, Modeling and Computation

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Theory, Modeling and Computation Theory, Modeling and Computation The sophistication of modeling and simulation will be enhanced not only by the wealth of data available from MaRIE but by the increased computational capacity made possible by the advent of extreme computing. CONTACT Jack Shlachter (505) 665-1888 Email Extreme Computing to Power Accurate Atomistic Simulations Advances in high-performance computing and theory allow longer and larger atomistic simulations than currently possible.

  6. Advanced Target Effects Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Advanced Target Effects Modeling for Ion Accelerators and other High-Energy-Density ... ature effects, e.g., surface tension and target fragmentation, that are not generally ...

  7. Sandia Energy Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ?p34831 http:energy.sandia.govwave-energy-device-modeling-developing-a-117-scaled-modelfeed 0 New Small Business Voucher Pilot Opens http:energy.sandia.gov...

  8. The Standard Model

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-12

    Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.

  9. EIN Cash Flow Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    EIN Cash Flow Model Energy Independence Now (EIN) Objectives Identify financial risks in early hydrogen infrastructure systems and illustrate hydrogen station cash flows under a ...

  10. Sandia Energy - Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    systems. The engine combustion modeling is focused on developing Large Eddy Simulation (LES). LES is being used with closely coupled key target experiments to reveal new...

  11. Global Climate Models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable ... Climate & Earth Systems Climate Measurement & Modeling Arctic Climate Measurements Global ...

  12. Scale Models & Wind Turbines

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Turbines * Readings about Cape Wind and other offshore and onshore siting debates for wind farms * Student Worksheet * A number of scale model items: Ken, Barbie or other dolls...

  13. Photovoltaics Business Models

    SciTech Connect (OSTI)

    Frantzis, L.; Graham, S.; Katofsky, R.; Sawyer, H.

    2008-02-01

    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.

  14. Multifamily Envelope Leakage Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    a solution Steven Winter Associates, Inc. 2013 Collect data Find significant variables Analyze patterns in the data Create a final model NEW YORK, NY | WASHINGTON, DC | ...

  15. Model Arbitration Provision

    Broader source: Energy.gov [DOE]

    The attached "GC Guidance: Model Arbitration Provision" is issued for use by Contracting Officers for M&O contracts as needed.

  16. Multifamily Envelope Leakage Model

    SciTech Connect (OSTI)

    Faakye, O.; Griffiths, D.

    2015-05-01

    The objective of the 2013 research project was to develop the model for predicting fully guarded test results (FGT), using unguarded test data and specific building features of apartment units. The model developed has a coefficient of determination R2 value of 0.53 with a root mean square error (RMSE) of 0.13. Both statistical metrics indicate that the model is relatively strong. When tested against data that was not included in the development of the model, prediction accuracy was within 19%, which is reasonable given that seasonal differences in blower door measurements can vary by as much as 25%.

  17. integrated-transportation-models

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    support a wider application of integrated transportation models, especially focusing on travel demand and network ... irrevocable worldwide license in said article to ...

  18. Project Evaluation Models

    Office of Environmental Management (EM)

    ... to evaluate its performance and lowest cost of energy * Uses hourly resource data for wind and solar Renewable Energy Options * Models existing generation (Grid, backup ...

  19. Market Allocation (MARKAL) Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Key Attributes & Strengths Analysis is conducted in the context of overall U.S. energy supply and demand. The model incorporates learning curves and scale economies for cost ...

  20. The Standard Model

    SciTech Connect (OSTI)

    Lincoln, Don

    2012-10-02

    Fermilab scientist Don Lincoln describes the Standard Model of particle physics, covering both the particles that make up the subatomic realm and the forces that govern them.

  1. VISION Model: Description

    SciTech Connect (OSTI)

    2009-01-18

    Description of VISION model, which is used to estimate the impact of highway vehicle technologies and fuels on energy use and carbon emissions to 2050.

  2. HTL Model Development

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Northwest National Laboratory This presentation does not contain any proprietary, confidential, or otherwise restricted information Goal Statement for HTL Model 2 GOAL: Enable ...

  3. Reference Model Project (RMP)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Reference Model 5: Oscillating Surge Wave Energy Converter. NRELTP-5000-62861. Golden, CO, National Renewable Energy Laboratory (NREL). January 2015. Power Conversion Chain Design ...

  4. Mixed Solvent Electrolyte Model

    Broader source: Energy.gov [DOE]

    With assistance from AMO, OLI Systems, Inc., developed the mixed-solvent electrolyte model, a comprehensive physical property package that can predict the properties of electrolyte systems ranging...

  5. Sandia Energy - Reference Model Documents

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Documents Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Documents Reference Model DocumentsTara Camacho-Lopez2015-05-...

  6. WEC Model Development at Sandia

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    ... Designs WEC Farm Hydrodynamic Modeling WEC Farm Environmental Modeling WEC Farm Power Modeling Wave Energy Development Roadmap: WEC Farm TRL 56, 78 & 9 Note: All specified flows ...

  7. Biosphere Process Model Report

    SciTech Connect (OSTI)

    J. Schmitt

    2000-05-25

    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

  8. Canister Model, Systems Analysis

    Energy Science and Technology Software Center (OSTI)

    1993-09-29

    This packges provides a computer simulation of a systems model for packaging nuclear waste and spent nuclear fuel in canisters. The canister model calculates overall programmatic cost, number of canisters, and fuel and waste inventories for the Idaho Chemical Processing Plant (other initial conditions can be entered).

  9. Stereolithography models. Final report

    SciTech Connect (OSTI)

    Smith, R.E.

    1995-03-01

    This report describes the first stereolithographic models made, which proved in a new release of ProEngineer software (Parametric Technologies, or PTC) and 3D Systems (Valencia, California) software for the SLA 250 machine. They are a model of benzene and the {alpha}-carbon backbone of the variable region of an antibody.

  10. Modeling for Insights

    SciTech Connect (OSTI)

    Jacob J. Jacobson; Gretchen Matthern

    2007-04-01

    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.

  11. VENTILATION MODEL REPORT

    SciTech Connect (OSTI)

    V. Chipman

    2002-10-31

    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.

  12. Integrated Environmental Control Model

    Energy Science and Technology Software Center (OSTI)

    1999-09-03

    IECM is a powerful multimedia engineering software program for simulating an integrated coal-fired power plant. It provides a capability to model various conventional and advanced processes for controlling air pollutant emissions from coal-fired power plants before, during, or after combustion. The principal purpose of the model is to calculate the performance, emissions, and cost of power plant configurations employing alternative environmental control methods. The model consists of various control technology modules, which may be integratedmore » into a complete utility plant in any desired combination. In contrast to conventional deterministic models, the IECM offers the unique capability to assign probabilistic values to all model input parameters, and to obtain probabilistic outputs in the form of cumulative distribution functions indicating the likelihood of dofferent costs and performance results. A Graphical Use Interface (GUI) facilitates the configuration of the technologies, entry of data, and retrieval of results.« less

  13. XAFS Model Compound Library

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Newville, Matthew

    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/

  14. Varicella infection modeling.

    SciTech Connect (OSTI)

    Jones, Katherine A.; Finley, Patrick D.; Moore, Thomas W.; Nozick, Linda Karen; Martin, Nathaniel; Bandlow, Alisa; Detry, Richard Joseph; Evans, Leland B.; Berger, Taylor Eugen

    2013-09-01

    Infectious diseases can spread rapidly through healthcare facilities, resulting in widespread illness among vulnerable patients. Computational models of disease spread are useful for evaluating mitigation strategies under different scenarios. This report describes two infectious disease models built for the US Department of Veteran Affairs (VA) motivated by a Varicella outbreak in a VA facility. The first model simulates disease spread within a notional contact network representing staff and patients. Several interventions, along with initial infection counts and intervention delay, were evaluated for effectiveness at preventing disease spread. The second model adds staff categories, location, scheduling, and variable contact rates to improve resolution. This model achieved more accurate infection counts and enabled a more rigorous evaluation of comparative effectiveness of interventions.

  15. Criticality Model Report

    SciTech Connect (OSTI)

    J.M. Scaglione

    2003-03-12

    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).

  16. SPAR Model Structural Efficiencies

    SciTech Connect (OSTI)

    John Schroeder; Dan Henry

    2013-04-01

    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

  17. U.S. Energy Information Administration (EIA)

    Gasoline and Diesel Fuel Update (EIA)

    Policy Analysts This page features the most requested EIA reports and features for policy analysts. If you can't find what you're looking for, please contact the EIA Information Center. Featured Links Responses to Congressional and other requests Congressional testimony Analysis papers from Annual Energy Outlook Financial data and analysis Environmental data and analysis National Energy Modeling System (NEMS) documentation Energy in Brief Maps Featured Reports Annual Energy Outlook International

  18. U.S. ITER | Princeton Plasma Physics Lab

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Policy Analysts This page features the most requested EIA reports and features for policy analysts. If you can't find what you're looking for, please contact the EIA Information Center. Featured Links Responses to Congressional and other requests Congressional testimony Analysis papers from Annual Energy Outlook Financial data and analysis Environmental data and analysis National Energy Modeling System (NEMS) documentation Energy in Brief Maps Featured Reports Annual Energy Outlook International

  19. Patrick M. De Lurgio | Argonne National Laboratory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Patricia Hagerty, Aviation Program Analyst - Bio Patricia Hagerty, Aviation Program Analyst - Bio Hagerty_PatPersonalProfile.pdf (10.55 KB) More Documents & Publications Ferrin Moore, Senior Aviation Policy Officer - Bio LopezPersonalProfile.pdf Record Liaison Officers (RLO) Distribution List

    Patrick Gilman About Us Patrick Gilman - Program Manager for Modeling and Analysis, Wind Energy Technology Office Most Recent Generating a Sustainable Wind Energy Future Thanks to Low Prices August

  20. Sandia Material Model Driver

    Energy Science and Technology Software Center (OSTI)

    2005-09-28

    The Sandia Material Model Driver (MMD) software package allows users to run material models from a variety of different Finite Element Model (FEM) codes in a standalone fashion, independent of the host codes. The MMD software is designed to be run on a variety of different operating system platforms as a console application. Initial development efforts have resulted in a package that has been shown to be fast, convenient, and easy to use, with substantialmore » growth potential.« less

  1. Perspectives on multifield models

    SciTech Connect (OSTI)

    Banerjee, S.

    1997-07-01

    Multifield models for prediction of nuclear reactor thermalhydraulics are reviewed from the viewpoint of their structure and requirements for closure relationships. Their strengths and weaknesses are illustrated with examples, indicating that they are effective in predicting separated and distributed flow regimes, but have problems for flows with large oscillations. Needs for multifield models are also discussed in the context of reactor operations and accident simulations. The highest priorities for future developments appear to relate to closure relationships for three-dimensional multifield models with emphasis on those needed for calculations of phase separation and entrainment/de-entrainment in complex geometries.

  2. Modeling EERE Deployment Programs

    SciTech Connect (OSTI)

    Cort, Katherine A.; Hostick, Donna J.; Belzer, David B.; Livingston, Olga V.

    2007-11-08

    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.

  3. Model Wind Ordinance

    Broader source: Energy.gov [DOE]

    In July, 2008 the North Carolina Wind Working Group, a coalition of state government, non-profit and wind industry organizations, published a model wind ordinance to provide guidance for...

  4. Community Atmosphere Model

    Energy Science and Technology Software Center (OSTI)

    2004-10-18

    The Community Atmosphere Model (CAM) is an atmospheric general circulation model that solves equations for atmospheric dynamics and physics. CAM is an outgrowth of the Community Climate Model at the National Center for Atmospheric Research (NCAR) and was developed as a joint collaborative effort between NCAR and several DOE laboratories, including LLNL. CAM contains several alternative approaches for advancing the atmospheric dynamics. One of these approaches uses a finite-volume method originally developed by personnel atmore » NASNGSFC, We have developed a scalable version of the finite-volume solver for massively parallel computing systems. FV-CAM is meant to be used in conjunction with the Community Atmosphere Model. It is not stand-alone.« less

  5. Models and Datasets

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    iteration by iteration. RevSim is an Excel 2010 based model. Much of the logic is VBA code (Visual Basic for Applications); the user does not need to know VBA to run the...

  6. Refining climate models

    ScienceCinema (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2014-06-26

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  7. HOMER® Energy Modeling Software

    Energy Science and Technology Software Center (OSTI)

    2000-12-31

    The HOMER® energy modeling software is a tool for designing and analyzing hybrid power systems, which contain a mix of conventional generators, cogeneration, wind turbines, solar photovoltaic, hydropower, batteries, fuel cells, hydropower, biomass and other inputs.

  8. System Dynamics Model | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Dynamics Model content top Chemical Supply Chain Analysis Posted by Admin on Mar 1, 2012 in | Comments 0 comments Chemical Supply Chain Analysis NISAC has developed a range of...

  9. Battery Life Predictive Model

    Energy Science and Technology Software Center (OSTI)

    2009-12-31

    The Software consists of a model used to predict battery capacity fade and resistance growth for arbitrary cycling and temperature profiles. It allows the user to extrapolate from experimental data to predict actual life cycle.

  10. HyPRO Model

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    static model based on Microsoft Excel and MatLab platforms, and links sub-modules of ... Analysis website (for downloading), but users must have Matlab for computing purposes

  11. Customer Prepay Impact Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Instructions for Use Inputs 1. To use this model, you will need to unprotect the workbook, by going to Select "Unprotect Workbook", and enter the password "bpa". 2. The Input...

  12. Economic Model | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NISACEconomic Model content top Chemical Supply Chain Analysis Posted by Admin on Mar 1, 2012 in | Comments 0 comments Chemical Supply Chain Analysis NISAC has developed a range of ...

  13. Renewable Model Documentation

    Gasoline and Diesel Fuel Update (EIA)

    sites is calculated by constructing a model of a representative 100-acre by 50-feet deep landfill site and by applying methane emission factors for high, low, and very low...

  14. Refining climate models

    SciTech Connect (OSTI)

    Warren, Jeff; Iversen, Colleen; Brooks, Jonathan; Ricciuto, Daniel

    2012-10-31

    Using dogwood trees, Oak Ridge National Laboratory researchers are gaining a better understanding of the role photosynthesis and respiration play in the atmospheric carbon dioxide cycle. Their findings will aid computer modelers in improving the accuracy of climate simulations.

  15. Enterprise Risk Management Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Model The Enterprise Risk Management (ERM) Model is a system used to analyze the cost and benefit of addressing risks inherent in the work performed by the Department of Energy. This system measures risk using a combination of qualitative and quantitative methods to set a standard method for analyzing risk across the many functions within the department. Risks generally fall within five categories regardless ofthe subject matter ofthe subsystem. These categories are (1) risks to people, (2)

  16. Distributed generation systems model

    SciTech Connect (OSTI)

    Barklund, C.R.

    1994-12-31

    A slide presentation is given on a distributed generation systems model developed at the Idaho National Engineering Laboratory, and its application to a situation within the Idaho Power Company`s service territory. The objectives of the work were to develop a screening model for distributed generation alternatives, to develop a better understanding of distributed generation as a utility resource, and to further INEL`s understanding of utility concerns in implementing technological change.

  17. OCH Strap Model Test

    SciTech Connect (OSTI)

    Weber, K.; /Fermilab

    1987-08-26

    The OCH Model was stacked using the appropriate spacers between each absorber plate. Steel bars measuring 3-inch wide by 1/4-inch thick were welded, using 1/8-inch fillet weld, along all the corner edges, except the outer radius edges. On the outer radius, the straps were bolted to the end plates and to plates 9 and 17. The straps on the outer radius were also set in towards the center by approximately 3-inches. The spacers were then knocked out. Twelve strain gauges were mounted on the model. See figure 1 and the OCH strap Model log book for locations. Each rosette was centered in the gap between two absorber plates. The finite element plate model can predict the primary deformations of the OH module in both the cantilever and crushing modes to within 11% of the measured values. The primary stresses away from the support plate for the cantilever mode can be predicted to within 13% by this model. Near the support plate where large shear stresses exists, ANSYS will overpredict the measured stresses substantially. This is probably due to the models inherent inability to allow for shear stress concentrations at the welds. The same over-prediction was seen in the side straps during the OH crush test comparison and is probably attributable to the high shear force in this mode. The simple finite element plate model will provide suitable model of OH module stiffness for use in the analysis of the module assembly. The calculation of shear stresses can be improved by applying the ANSYS calculated inter-element forces to traditional weld strength calculations

  18. Theory Modeling and Simulation

    SciTech Connect (OSTI)

    Shlachter, Jack

    2012-08-23

    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.

  19. Learning planar ising models

    SciTech Connect (OSTI)

    Johnson, Jason K; Chertkov, Michael; Netrapalli, Praneeth

    2010-11-12

    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.

  20. Multiscale Thermohydrologic Model

    SciTech Connect (OSTI)

    T. Buscheck

    2004-10-12

    The purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. Thus, the goal is to predict the range of possible thermal-hydrologic conditions across the repository; this is quite different from predicting a single expected thermal-hydrologic response. The MSTHM calculates the following thermal-hydrologic parameters: temperature, relative humidity, liquid-phase saturation, evaporation rate, air-mass fraction, gas-phase pressure, capillary pressure, and liquid- and gas-phase fluxes (Table 1-1). These thermal-hydrologic parameters are required to support ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]). The thermal-hydrologic parameters are determined as a function of position along each of the emplacement drifts and as a function of waste package type. These parameters are determined at various reference locations within the emplacement drifts, including the waste package and drip-shield surfaces and in the invert. The parameters are also determined at various defined locations in the adjoining host rock. The MSTHM uses data obtained from the data tracking numbers (DTNs) listed in Table 4.1-1. The majority of those DTNs were generated from the following analyses and model reports: (1) ''UZ Flow Model and Submodels'' (BSC 2004 [DIRS 169861]); (2) ''Development of Numerical Grids for UZ Flow and Transport Modeling'' (BSC 2004); (3) ''Calibrated Properties Model'' (BSC 2004 [DIRS 169857]); (4) ''Thermal Conductivity of the Potential Repository Horizon'' (BSC 2004 [DIRS 169854]); (5) ''Thermal Conductivity of the Non-Repository Lithostratigraphic Layers'' (BSC 2004 [DIRS 170033]); (6) ''Ventilation Model and Analysis Report'' (BSC 2004 [DIRS 169862]); (7) ''Heat Capacity

  1. Generic CSP Performance Model for NREL's System Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Zhu, G.

    2011-08-01

    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.

  2. Climate Model Output Rewriter

    Energy Science and Technology Software Center (OSTI)

    2004-06-21

    CMOR comprises a set of FORTRAN 90 dunctions that can be used to produce CF-compliant netCDF files. The structure of the files created by CMOR and the metadata they contain fulfill the requirements of many of the climate community’s standard model experiments (which are referred to here as "MIPS", which stands for "model intercomparison project", including, for example, AMIP, CMIP, CFMIP, PMIP, APE, and IPCC scenario runs), CMOR was not designed to serve as anmore » all-purpose wfiter of CF-compliant netCDF files, but simply to reduce the effort required to prepare and manage MIP data. Although MIPs encourage systematic analysis of results across models, this is only easy to do if the model output is written in a common format with files structured similarly and with sufficient metadata uniformly stored according to a common standard. Individual modeling groups store their data in different ways. but if a group can read its own data with FORTRAN, then it should easily be able to transform the data, using CMOR, into the common format required by the MIPs, The adoption of CMOR as a standard code for exchanging climate data will facilitate participation in MIPs because after learning how to satisfy the output requirements of one MIP, it will be easy to prepare output for the other MIPs.« less

  3. Techno Economic Model

    Energy Science and Technology Software Center (OSTI)

    2010-04-01

    The Technoeconomic model is a computational model of a lignocellulosic biorefinery that can be used by industry to establish benchmarks of performance and risk-benefit analysis in order to assess the potential impact of cutting edge technologies. The model can be used to evaluate, guide, and optimize research efforts, biorefinery design, and process operation. The model will help to reduce the risk of commercial investment and development of biorefineries and help steer future research to thosemore » parts of the refining process in need of further developments for biofuels to be cost competitive. We have now aded modules for the following sections: feed handling, pretreatment, fermentation, product and water recovery, waste treatment, and steam/electricity generation. We have incorporated a kinetic model for microorganism growth and production of ethanol, inclouding toxin inhibition. For example, the feed handling section incorporates information regarding feedstock transport distance-dependent costs. The steam and electricity generation section now includes a turbogenerator that supplies power to be used by other unit operations and contains equations for efficiency calculations.« less

  4. Models for geothermal wells

    SciTech Connect (OSTI)

    Michaelides, E.E.

    1980-06-01

    The problem of two-phase flow pressure loss is examined in order to give an answer to the problem of determination of the wellhead conditions. For this purpose two models have been developed, the first based on the pattern structure of the flow and the second on the mixing length theory. The void fraction correlations and the transition conditions are presented in the first model as a means of estimating the pressure loss. Heat losses, and the effect of impurities are examined in detail. An expression for the critical flow conditions is also derived. The model is used to predict the available power at the wellhead under various conditions and an answer to the problem of well pumping is given. For the second model an outline of the mixing length theory and the boundary layer coordinates is given; a density distribution in the geothermal well is assumed and the equations for the pressure loss are derived by means of the entropy production function. Finally a comparison of the two models is made and their predictive power is tested against known well data. A brief comparison with the Denver Research Institute is also made.

  5. NREL: dGen: Distributed Generation Market Demand Model - Model...

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    All technologies modeled within the dGen framework leverage a core database of highly resolved geospatial information and share algorithms for modeling DER economics, customer ...

  6. Turning Bayesian model averaging into Bayesian model combination...

    Office of Scientific and Technical Information (OSTI)

    Title: Turning Bayesian model averaging into Bayesian model combination Authors: Carroll, James 1 ; Monteith, Kristine 2 ; Seppi, Kevin 2 ; Martinez, Tony 2 + Show Author ...

  7. Accounting for Model Error in the Calibration of Physical Models

    Office of Scientific and Technical Information (OSTI)

    ... model error term in locations where key modeling assumptions and approximations are made ... to represent the truth o In this context, the data has no noise o Discrepancy ...

  8. Handling Model Error in the Calibration of Physical Models

    Office of Scientific and Technical Information (OSTI)

    ... model error term in locations where key modeling assumptions and approximations are made ... to represent the truth o In this context, the data has no noise o Discrepancy ...

  9. Critical Infrastructure Modeling System

    Energy Science and Technology Software Center (OSTI)

    2004-10-01

    The Critical Infrastructure Modeling System (CIMS) is a 3D modeling and simulation environment designed to assist users in the analysis of dependencies within individual infrastructure and also interdependencies between multiple infrastructures. Through visual cuing and textual displays, a use can evaluate the effect of system perturbation and identify the emergent patterns that evolve. These patterns include possible outage areas from a loss of power, denial of service or access, and disruption of operations. Method ofmore » Solution: CIMS allows the user to model a system, create an overlay of information, and create 3D representative images to illustrate key infrastructure elements. A geo-referenced scene, satellite, aerial images or technical drawings can be incorporated into the scene. Scenarios of events can be scripted, and the user can also interact during run time to alter system characteristics. CIMS operates as a discrete event simulation engine feeding a 3D visualization.« less

  10. Parametric Explosion Spectral Model

    SciTech Connect (OSTI)

    Ford, S R; Walter, W R

    2012-01-19

    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.

  11. DEM Particle Fracture Model

    SciTech Connect (OSTI)

    Zhang, Boning; Herbold, Eric B.; Homel, Michael A.; Regueiro, Richard A.

    2015-12-01

    An adaptive particle fracture model in poly-ellipsoidal Discrete Element Method is developed. The poly-ellipsoidal particle will break into several sub-poly-ellipsoids by Hoek-Brown fracture criterion based on continuum stress and the maximum tensile stress in contacts. Also Weibull theory is introduced to consider the statistics and size effects on particle strength. Finally, high strain-rate split Hopkinson pressure bar experiment of silica sand is simulated using this newly developed model. Comparisons with experiments show that our particle fracture model can capture the mechanical behavior of this experiment very well, both in stress-strain response and particle size redistribution. The effects of density and packings o the samples are also studied in numerical examples.

  12. Progress in Initiator Modeling

    SciTech Connect (OSTI)

    Hrousis, C A; Christensen, J S

    2009-05-04

    There is great interest in applying magnetohydrodynamic (MHD) simulation techniques to the designs of electrical high explosive (HE) initiators, for the purpose of better understanding a design's sensitivities, optimizing its performance, and/or predicting its useful lifetime. Two MHD-capable LLNL codes, CALE and ALE3D, are being used to simulate the process of ohmic heating, vaporization, and plasma formation in the bridge of an initiator, be it an exploding bridgewire (EBW), exploding bridgefoil (EBF) or slapper type initiator. The initiation of the HE is simulated using Tarver Ignition & Growth reactive flow models. 1-D, 2-D and 3-D models have been constructed and studied. The models provide some intuitive explanation of the initiation process and are useful for evaluating the potential impact of identified aging mechanisms (such as the growth of intermetallic compounds or powder sintering). The end product of this work is a simulation capability for evaluating margin in proposed, modified or aged initiation system designs.

  13. 2-Stage Classification Modeling

    Energy Science and Technology Software Center (OSTI)

    1994-11-01

    CIRCUIT2.4 is used to design optimum two-stage classification configurations and operating conditions for energy conservation. It permits simulation of five basic grinding-classification circuits, including one single-stage and four two-stage classification arrangements. Hydrocyclones, spiral classifiers, and sieve band screens can be simulated, and the user may choose the combination of devices for the flowsheet simulation. In addition, the user may select from four classification modeling methods to achieve the goals of a simulation project using themore » most familiar concepts. Circuit performance is modeled based on classification parameters or equipment operating conditions. A modular approach was taken in designing the program, which allows future addition of other models with relatively minor changes.« less

  14. Simple Modular LED Cost Model

    Broader source: Energy.gov [DOE]

    The LED Cost Model, developed by the DOE Cost Modeling Working Group, provides a simplified method for analyzing the manufacturing costs of an LED package. The model focuses on the major cost...

  15. Sandia Energy - PV Modeling & Analysis

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    PV Modeling & Analysis Home Stationary Power Energy Conversion Efficiency Solar Energy Photovoltaics PV Modeling & Analysis PV Modeling & AnalysisTara Camacho-Lopez2015-05-11T20:03...

  16. On Reflexive Data Models

    SciTech Connect (OSTI)

    Petrov, S.

    2000-08-20

    An information system is reflexive if it stores a description of its current structure in the body of stored information and is acting on the base of this information. A data model is reflexive, if its language is meta-closed and can be used to build such a system. The need for reflexive data models in new areas of information technology applications is argued. An attempt to express basic notions related to information systems is made in the case when the system supports and uses meta-closed representation of the data.

  17. Macro-System Model Overview

    Broader source: Energy.gov (indexed) [DOE]

    Macro System Model (MSM) (National Renewable Energy Laboratory) Objectives Perform rapid cross-cutting analysis that utilizes and links other models. Ensure all aspects of hydrogen pathway and cost analysis is included such as hydrogen purity, leakage, etc. Key Attributes & Strengths Easily and rapidly links modeling experts with DOE's other models that are included in the MSM. Platform, Requirements & Availability MSM is a static, cross-cutting model which links models from various

  18. Physics Beyond the Standard Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Physics Beyond the Standard Model 1663 Los Alamos science and technology magazine Latest Issue:October 2015 past issues All Issues submit Physics Beyond the Standard Model...

  19. Improved MK42 Melting Model

    SciTech Connect (OSTI)

    Tudor, A.A.

    2001-09-19

    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.

  20. Reservoir Modeling Working Group Meeting

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Reservoir Modeling Working Group Meeting 2012 GEOTHERMAL TECHNOLOGIES PROGRAM PEER REVIEW ... History Past Meetings: March 2010 IPGT Modeling Working Group Meeting May 2010 GTP Peer ...

  1. Advanced Modeling for Particle Accelerators

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    multiphysics, multi-bunch modeling of injectors, boosters, and debunchers for performance optimization. These applications include large-scale electromagnetic modeling of...

  2. COMMUTER Model | Open Energy Information

    Open Energy Info (EERE)

    computer model that estimates the travel and emissions impacts of transportation air quality programs focused on commuting. The model is particularly useful for programs...

  3. Simple ocean carbon cycle models

    SciTech Connect (OSTI)

    Caldeira, K.; Hoffert, M.I.; Siegenthaler, U.

    1994-02-01

    Simple ocean carbon cycle models can be used to calculate the rate at which the oceans are likely to absorb CO{sub 2} from the atmosphere. For problems involving steady-state ocean circulation, well calibrated ocean models produce results that are very similar to results obtained using general circulation models. Hence, simple ocean carbon cycle models may be appropriate for use in studies in which the time or expense of running large scale general circulation models would be prohibitive. Simple ocean models have the advantage of being based on a small number of explicit assumptions. The simplicity of these ocean models facilitates the understanding of model results.

  4. Beyond the Standard Model Theory

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Beyond the Standard Model Theory Beyond the Standard Model Understanding discoveries at the Energy, Intensity, and Cosmic Frontiers Get Expertise Rajan Gupta (505) 667-7664 Email ...

  5. Reference Model Development

    SciTech Connect (OSTI)

    Jepsen, Richard

    2011-11-02

    Presentation from the 2011 Water Peer Review in which principal investigator discusses project progress to develop a representative set of Reference Models (RM) for the MHK industry to develop baseline cost of energy (COE) and evaluate key cost component/system reduction pathways.

  6. Modeling the earth system

    SciTech Connect (OSTI)

    Ojima, D.

    1992-12-31

    The 1990 Global Change Institute (GCI) on Earth System Modeling is the third of a series organized by the Office for Interdisciplinary Earth Studies to look in depth at particular issues critical to developing a better understanding of the earth system. The 1990 GCI on Earth System Modeling was organized around three themes: defining critical gaps in the knowledge of the earth system, developing simplified working models, and validating comprehensive system models. This book is divided into three sections that reflect these themes. Each section begins with a set of background papers offering a brief tutorial on the subject, followed by working group reports developed during the institute. These reports summarize the joint ideas and recommendations of the participants and bring to bear the interdisciplinary perspective that imbued the institute. Since the conclusion of the 1990 Global Change Institute, research programs, nationally and internationally, have moved forward to implement a number of the recommendations made at the institute, and many of the participants have maintained collegial interactions to develop research projects addressing the needs identified during the two weeks in Snowmass.

  7. Wear-mechanism modelling

    SciTech Connect (OSTI)

    Ashby, M.F. . Dept. of Engineering)

    1993-03-01

    Goals of the program are to calculate the surface temperatures in dry sliding, develop a soft wear tester for ceramics, survey the wear mechanisms in brittle solids, and couple the temperature calculations with models to give wear maps for brittle solids. (DLC)

  8. Hawaii Gravity Model

    SciTech Connect (OSTI)

    Nicole Lautze

    2015-12-15

    Gravity model for the state of Hawaii. Data is from the following source: Flinders, A.F., Ito, G., Garcia, M.O., Sinton, J.M., Kauahikaua, J.P., and Taylor, B., 2013, Intrusive dike complexes, cumulate cores, and the extrusive growth of Hawaiian volcanoes: Geophysical Research Letters, v. 40, p. 3367–3373, doi:10.1002/grl.50633.

  9. Modeling the Hall Thruster

    SciTech Connect (OSTI)

    Fisch, N.J.; Fruchtman, A.

    1998-08-01

    The acceleration of the plasma in the Hall thruster to supersonic velocities is examined by the use of a steady state model. Flows that are smooth across the sonic transition plane are found. The possibility of generating flows in which the acceleration across the sonic plane is abrupt, is also studied.

  10. World Natural Gas Model

    Energy Science and Technology Software Center (OSTI)

    1994-12-01

    RAMSGAS, the Research and Development Analysis Modeling System World Natural Gas Model, was developed to support planning of unconventional gaseoues fuels research and development. The model is a scenario analysis tool that can simulate the penetration of unconventional gas into world markets for oil and gas. Given a set of parameter values, the model estimates the natural gas supply and demand for the world for the period from 1980 to 2030. RAMSGAS is based onmore » a supply/demand framwork and also accounts for the non-renewable nature of gas resources. The model has three fundamental components: a demand module, a wellhead production cost module, and a supply/demand interface module. The demand for gas is a product of total demand for oil and gas in each of 9 demand regions and the gas share. Demand for oil and gas is forecast from the base year of 1980 through 2030 for each demand region, based on energy growth rates and price-induced conservation. For each of 11 conventional and 19 unconventional gas supply regions, wellhead production costs are calculated. To these are added transportation and distribution costs estimates associated with moving gas from the supply region to each of the demand regions and any economic rents. Based on a weighted average of these costs and the world price of oil, fuel shares for gas and oil are computed for each demand region. The gas demand is the gas fuel share multiplied by the total demand for oil plus gas. This demand is then met from the available supply regions in inverse proportion to the cost of gas from each region. The user has almost complete control over the cost estimates for each unconventional gas source in each year and thus can compare contributions from unconventional resources under different cost/price/demand scenarios.« less

  11. DRI Model of the U.S. Economy -- Model Documentation:

    Reports and Publications (EIA)

    1993-01-01

    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.

  12. GROUT HOPPER MODELING STUDY

    SciTech Connect (OSTI)

    Lee, S.

    2011-08-30

    The Saltstone facility has a grout hopper tank to provide agitator stirring of the Saltstone feed materials. The tank has about 300 gallon capacity to provide a larger working volume for the grout slurry to be held in case of a process upset, and it is equipped with a mechanical agitator, which is intended to keep the grout in motion and agitated so that it won't start to set up. The dry feeds and the salt solution are already mixed in the mixer prior to being transferred to the hopper tank. The hopper modeling study through this work will focus on fluid stirring and agitation, instead of traditional mixing in the literature, in order to keep the tank contents in motion during their residence time so that they will not be upset or solidified prior to transferring the grout to the Saltstone disposal facility. The primary objective of the work is to evaluate the flow performance for mechanical agitators to prevent vortex pull-through for an adequate stirring of the feed materials and to estimate an agitator speed which provides acceptable flow performance with a 45{sup o} pitched four-blade agitator. In addition, the power consumption required for the agitator operation was estimated. The modeling calculations were performed by taking two steps of the Computational Fluid Dynamics (CFD) modeling approach. As a first step, a simple single-stage agitator model with 45{sup o} pitched propeller blades was developed for the initial scoping analysis of the flow pattern behaviors for a range of different operating conditions. Based on the initial phase-1 results, the phase-2 model with a two-stage agitator was developed for the final performance evaluations. A series of sensitivity calculations for different designs of agitators and operating conditions have been performed to investigate the impact of key parameters on the grout hydraulic performance in a 300-gallon hopper tank. For the analysis, viscous shear was modeled by using the Bingham plastic approximation. Steady

  13. Drift Scale THM Model

    SciTech Connect (OSTI)

    J. Rutqvist

    2004-10-07

    This model report documents the drift scale coupled thermal-hydrological-mechanical (THM) processes model development and presents simulations of the THM behavior in fractured rock close to emplacement drifts. The modeling and analyses are used to evaluate the impact of THM processes on permeability and flow in the near-field of the emplacement drifts. The results from this report are used to assess the importance of THM processes on seepage and support in the model reports ''Seepage Model for PA Including Drift Collapse'' and ''Abstraction of Drift Seepage'', and to support arguments for exclusion of features, events, and processes (FEPs) in the analysis reports ''Features, Events, and Processes in Unsaturated Zone Flow and Transport and Features, Events, and Processes: Disruptive Events''. The total system performance assessment (TSPA) calculations do not use any output from this report. Specifically, the coupled THM process model is applied to simulate the impact of THM processes on hydrologic properties (permeability and capillary strength) and flow in the near-field rock around a heat-releasing emplacement drift. The heat generated by the decay of radioactive waste results in elevated rock temperatures for thousands of years after waste emplacement. Depending on the thermal load, these temperatures are high enough to cause boiling conditions in the rock, resulting in water redistribution and altered flow paths. These temperatures will also cause thermal expansion of the rock, with the potential of opening or closing fractures and thus changing fracture permeability in the near-field. Understanding the THM coupled processes is important for the performance of the repository because the thermally induced permeability changes potentially effect the magnitude and spatial distribution of percolation flux in the vicinity of the drift, and hence the seepage of water into the drift. This is important because a sufficient amount of water must be available within a

  14. ARM - Feature Stories and Releases Article

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Michael Bowlan (student analyst), Andrew MacKenzie (student analyst) Not shown: Lee Williams (student analyst). Today's Data Quality Office, celebrating 10 years Bottom row:...

  15. Decision Impact Assessment Model

    Energy Science and Technology Software Center (OSTI)

    1991-08-01

    DIAMOND represents the decision-making environment that utility planners and executives face. Users interact with the model after every year or two of simulation, which provides an opportunity to modify past decisions as well as to make new decisions. For example, construction of a power plant can be started one year, and if circumstances change, the plant can be accelerated, mothballed, cancelled, or continued as originally planned. Similarly, the marketing and financial incentives for demand-side managementmore » programs can be changed from year to year. This frequent user interaction with the model, an operational game, should build greater understanding and insights among utility planners about the risks associated with different types of resources.« less

  16. Simplified tritium permeation model

    SciTech Connect (OSTI)

    Longhurst, G.R.

    1993-09-17

    In this model I seek to provide a simplified approach to solving permeation problems addressed by TMAP4. I will assume that there are m one-dimensional segments with thickness L{sub i}, i = 1, 2, {hor_ellipsis}, m, joined in series with an implantation flux, J{sub i}, implanting at the single depth, {delta}, in the first segment. From material properties and heat transfer considerations, I calculate temperatures at each face of each segment, and from those temperatures I find local diffusivities and solubilities. I assume recombination coefficients K{sub r}{sub 1} and K{sub r}{sub 2} are known at the upstream and downstream faces, respectively, but the model will generate Baskes recombination coefficient values on demand. Here I first develop the steady-state concentration equations and then show how trapping considerations can lead to good estimates of permeation transient times.

  17. SDI CFD MODELING ANALYSIS

    SciTech Connect (OSTI)

    Lee, S.

    2011-05-05

    The Savannah River Remediation (SRR) Organization requested that Savannah River National Laboratory (SRNL) develop a Computational Fluid Dynamics (CFD) method to mix and blend the miscible contents of the blend tanks to ensure the contents are properly blended before they are transferred from the blend tank; such as, Tank 50H, to the Salt Waste Processing Facility (SWPF) feed tank. The work described here consists of two modeling areas. They are the mixing modeling analysis during miscible liquid blending operation, and the flow pattern analysis during transfer operation of the blended liquid. The transient CFD governing equations consisting of three momentum equations, one mass balance, two turbulence transport equations for kinetic energy and dissipation rate, and one species transport were solved by an iterative technique until the species concentrations of tank fluid were in equilibrium. The steady-state flow solutions for the entire tank fluid were used for flow pattern analysis, for velocity scaling analysis, and the initial conditions for transient blending calculations. A series of the modeling calculations were performed to estimate the blending times for various jet flow conditions, and to investigate the impact of the cooling coils on the blending time of the tank contents. The modeling results were benchmarked against the pilot scale test results. All of the flow and mixing models were performed with the nozzles installed at the mid-elevation, and parallel to the tank wall. From the CFD modeling calculations, the main results are summarized as follows: (1) The benchmark analyses for the CFD flow velocity and blending models demonstrate their consistency with Engineering Development Laboratory (EDL) and literature test results in terms of local velocity measurements and experimental observations. Thus, an application of the established criterion to SRS full scale tank will provide a better, physically-based estimate of the required mixing time, and

  18. Model Analysis ToolKit

    Energy Science and Technology Software Center (OSTI)

    2015-05-15

    MATK provides basic functionality to facilitate model analysis within the Python computational environment. Model analysis setup within MATK includes: - define parameters - define observations - define model (python function) - define samplesets (sets of parameter combinations) Currently supported functionality includes: - forward model runs - Latin-Hypercube sampling of parameters - multi-dimensional parameter studies - parallel execution of parameter samples - model calibration using internal Levenberg-Marquardt algorithm - model calibration using lmfit package - modelmore » calibration using levmar package - Markov Chain Monte Carlo using pymc package MATK facilitates model analysis using: - scipy - calibration (scipy.optimize) - rpy2 - Python interface to R« less

  19. Extreme Conditions Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Conditions Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear

  20. Reference Model Project (RMP)

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Reference Model Project (RMP) - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs

  1. Modeling & Simulation | NISAC

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    NISACModeling & Simulation content top Overview Posted by Admin on Feb 13, 2012 in | Comments 0 comments NISAC experts analyze-using modeling and simulation capabilities-critical infrastructure, along with their interdependencies, vulnerabilities, and complexities. Their analyses are used to aid decisionmakers with policy assessment, mitigation planning, education, and training and provide near-real-time assistance to crisis-response organizations. Infrastructure systems are large, complex,

  2. Climate Measurement & Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Measurement & Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced

  3. Severe Accident Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Severe Accident Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced

  4. High-fidelity Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    fidelity Modeling of Local Effects of Damage for Derated Offshore Wind Turbines Phillip W. Richards Graduate Research Assistant, Daniel Guggenheim School of Aerospace Engineering. Georgia Institute of Technology, Atlanta, Georgia 30332-0150 E-mail: phillip@gatech.edu D. Todd Griffith Principal Member of the Technical Staff. Associate Fellow, AIAA. Sandia National Laboratories, Albuquerque, New Mexico 87123 Sandia National Laboratories is a multi-program laboratory managed and operated by Sandia

  5. travel-demand-modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Travel Demand Modeling for a Small sized MPO Using TRANSIMS Mohammad Sharif Ullah Champaign County Regional Planning Commission 1776 E Washington Street, Urbana, IL 61802 Phone: 217 328 3313 Ext 124 Email: This email address is being protected from spambots. You need JavaScript enabled to view it. List of Authors ================ Mohammad Sharif Ullah, Senior Transportation Engineer, CCRPC, Urbana, IL Asadur Rahman, PhD student, IIT, Chicago, IL Rita Morocoima-Black, Planning & Comm.

  6. Strategic Analysis and Modeling

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Strategic Analysis and Modeling Mary J. Biddy, Ling Tao, Eric Tan, Yimin Zhang National Renewable Energy Laboratory March 24, 2015 Analysis and Sustainability Peer Review 2015 DOE Bioenergy Technologies Office (BETO) Project Peer Review 2 Goal Statement * Develop tools and perform analyses to address key questions in support of

  7. Combustion and Emissions Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Combustion and Emissions Modeling This email address is being protected from spambots. You need JavaScript enabled to view it. - Computational Fluid Dynamics Project Leader Background Modern transportation engines are designed to use the available fuel resources efficiently and minimize harmful emissions. Optimization of these designs is based on a wealth of practical design, construction and operating experiences, and use of modern testing facilities and sophisticated analyses of the combustion

  8. Theory & Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    & Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear

  9. CEC Array Modeling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    CEC Array Modeling - Sandia Energy Energy Search Icon Sandia Home Locations Contact Us Employee Locator Energy & Climate Secure & Sustainable Energy Future Stationary Power Energy Conversion Efficiency Solar Energy Wind Energy Water Power Supercritical CO2 Geothermal Natural Gas Safety, Security & Resilience of the Energy Infrastructure Energy Storage Nuclear Power & Engineering Grid Modernization Battery Testing Nuclear Energy Defense Waste Management Programs Advanced Nuclear

  10. Molecular model generator toolkit

    SciTech Connect (OSTI)

    Schneider, R.D.

    1994-07-01

    This report is a user manual for an ASCII file of Fortran source code which must be compiled before use. The software will assist in creating plastic models of molecules whose specifications are described in the Brookhaven Protein Databank. Other data files can be used if they are in the same format as the files in the databank. The output file is a program for a 3-D Systems Stereolithography Apparatus and the program is run on a SGI Indigo workstation.

  11. Electricity Portfolio Simulation Model

    Energy Science and Technology Software Center (OSTI)

    2005-09-01

    Stakeholders often have competing interests when selecting or planning new power plants. The purpose of developing this preliminary Electricity Portfolio Simulation Model (EPSim) is to provide a first cut, dynamic methodology and approach to this problem, that can subsequently be refined and validated, that may help energy planners, policy makers, and energy students better understand the tradeoffs associated with competing electricity portfolios. EPSim allows the user to explore competing electricity portfolios annually from 2002 tomore » 2025 in terms of five different criteria: cost, environmental impacts, energy dependence, health and safety, and sustainability. Four additional criteria (infrastructure vulnerability, service limitations, policy needs and science and technology needs) may be added in future versions of the model. Using an analytic hierarchy process (AHP) approach, users or groups of users apply weights to each of the criteria. The default energy assumptions of the model mimic Department of Energy’s (DOE) electricity portfolio to 2025 (EIA, 2005). At any time, the user can compare alternative portfolios to this reference case portfolio.« less

  12. Radiolysis Process Model

    SciTech Connect (OSTI)

    Buck, Edgar C.; Wittman, Richard S.; Skomurski, Frances N.; Cantrell, Kirk J.; McNamara, Bruce K.; Soderquist, Chuck Z.

    2012-07-17

    Assessing the performance of spent (used) nuclear fuel in geological repository requires quantification of time-dependent phenomena that may influence its behavior on a time-scale up to millions of years. A high-level waste repository environment will be a dynamic redox system because of the time-dependent generation of radiolytic oxidants and reductants and the corrosion of Fe-bearing canister materials. One major difference between used fuel and natural analogues, including unirradiated UO2, is the intense radiolytic field. The radiation emitted by used fuel can produce radiolysis products in the presence of water vapor or a thin-film of water (including OH• and H• radicals, O2-, eaq, H2O2, H2, and O2) that may increase the waste form degradation rate and change radionuclide behavior. H2O2 is the dominant oxidant for spent nuclear fuel in an O2 depleted water environment, the most sensitive parameters have been identified with respect to predictions of a radiolysis model under typical conditions. As compared with the full model with about 100 reactions it was found that only 30-40 of the reactions are required to determine [H2O2] to one part in 10–5 and to preserve most of the predictions for major species. This allows a systematic approach for model simplification and offers guidance in designing experiments for validation.

  13. Borehole Fluid Conductivity Model

    Energy Science and Technology Software Center (OSTI)

    2004-03-15

    Dynamic wellbore electrical conductivity logs provide a valuable means to determine the flow characteristics of fractures intersectin a wellbore, in order to study the hydrologic behavior of fractured rocks. To expedite the analysis of log data, a computer program called BORE II has been deveoloped that considers multiple inflow or outflow points along the wellbore, including the case of horizontal flow across the wellbore, BORE II calculates the evolution of fluid electrical conducivity (FEC) profilesmorein a wellbore or wellbore section, which may be pumped at a low rate, and compares model results to log data in a variety of ways. FEC variations may arise from inflow under natural-state conditions or due to tracer injected in a neighboring well (interference tests). BORE II has an interactive, graphical user interface and runs on a personal computer under the Windows operating system. BORE II is a modification and extension of older codes called BORE and BOREXT, which considered inflow points only. Finite difference solution of the one-dimensional advection-diffusion equation with explicit time stepping; feed points treated as prescribed-mass sources or sinks; assume quadratic relationship between fluid electrical conductivity and ion consentration. Graphical user interface; interactive modification of model parameters and graphical display of model results and filed data in a variety of ways. Can examine horizontal flow or arbitarily complicated combination of upflow, downflow, and horizontal flow. Feed point flow rate and/or concentration may vary in time.less

  14. Modeling volcanic ash dispersal

    ScienceCinema (OSTI)

    None

    2011-10-06

    Explosive volcanic eruptions inject into the atmosphere large amounts of volcanic material (ash, blocks and lapilli). Blocks and larger lapilli follow ballistic and non-ballistic trajectories and fall rapidly close to the volcano. In contrast, very fine ashes can remain entrapped in the atmosphere for months to years, and may affect the global climate in the case of large eruptions. Particles having sizes between these two end-members remain airborne from hours to days and can cover wide areas downwind. Such volcanic fallout entails a serious threat to aircraft safety and can create many undesirable effects to the communities located around the volcano. The assessment of volcanic fallout hazard is an important scientific, economic, and political issue, especially in densely populated areas. From a scientific point of view, considerable progress has been made during the last two decades through the use of increasingly powerful computational models and capabilities. Nowadays, models are used to quantify hazard scenarios and/or to give short-term forecasts during emergency situations. This talk will be focused on the main aspects related to modeling volcanic ash dispersal and fallout with application to the well known problem created by the Eyjafjöll volcano in Iceland. Moreover, a short description of the main volcanic monitoring techniques is presented.

  15. LLNL Chemical Kinetics Modeling Group

    SciTech Connect (OSTI)

    Pitz, W J; Westbrook, C K; Mehl, M; Herbinet, O; Curran, H J; Silke, E J

    2008-09-24

    The LLNL chemical kinetics modeling group has been responsible for much progress in the development of chemical kinetic models for practical fuels. The group began its work in the early 1970s, developing chemical kinetic models for methane, ethane, ethanol and halogenated inhibitors. Most recently, it has been developing chemical kinetic models for large n-alkanes, cycloalkanes, hexenes, and large methyl esters. These component models are needed to represent gasoline, diesel, jet, and oil-sand-derived fuels.

  16. Modifications improve waterflood performance model

    SciTech Connect (OSTI)

    El-Banbi, A.H.; Abdel Wally, A.; Abd-el Fattah, K.A.; Sayyouh, M.H.

    1996-01-01

    Modifications to the Craig-Geffen-Morse (CGM) waterflooding model improve reservoir performance predictions and allow for the inclusion of pressure drop variations with time. The modified model was validated against numerical simulation results. The paper describes the CGM model, the hypothetical data set, the simulation technique, comparisons between the CGM model and the simulation, and modifications to the CGM model relating to pressure drop variation and water production.

  17. Probing the cosmic gamma-ray burst rate with trigger simulations of the swift burst alert telescope

    SciTech Connect (OSTI)

    Lien, Amy; Cannizzo, John K. [Center for Research and Exploration in Space Science and Technology (CRESST) and NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Sakamoto, Takanori [Department of Physics and Mathematics, College of Science and Engineering, Aoyama Gakuin University, 5-10-1 Fuchinobe, Chuo-ku, Sagamihara-shi, Kanagawa 252-5258 (Japan); Gehrels, Neil; Barthelmy, Scott D. [NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); Palmer, David M. [Los Alamos National Laboratory, B244, Los Alamos, NM 87545 (United States); Graziani, Carlo [Astronomy Department, The University of Chicago, Chicago, IL 60637 (United States)

    2014-03-01

    The gamma-ray burst (GRB) rate is essential for revealing the connection between GRBs, supernovae, and stellar evolution. Additionally, the GRB rate at high redshift provides a strong probe of star formation history in the early universe. While hundreds of GRBs are observed by Swift, it remains difficult to determine the intrinsic GRB rate due to the complex trigger algorithm of Swift. Current studies of the GRB rate usually approximate the Swift trigger algorithm by a single detection threshold. However, unlike the previously flown GRB instruments, Swift has over 500 trigger criteria based on photon count rate and an additional image threshold for localization. To investigate possible systematic biases and explore the intrinsic GRB properties, we develop a program that is capable of simulating all the rate trigger criteria and mimicking the image threshold. Our simulations show that adopting the complex trigger algorithm of Swift increases the detection rate of dim bursts. As a result, our simulations suggest that bursts need to be dimmer than previously expected to avoid overproducing the number of detections and to match with Swift observations. Moreover, our results indicate that these dim bursts are more likely to be high redshift events than low-luminosity GRBs. This would imply an even higher cosmic GRB rate at large redshifts than previous expectations based on star formation rate measurements, unless other factors, such as the luminosity evolution, are taken into account. The GRB rate from our best result gives a total number of 4568{sub ?1429}{sup +825} GRBs per year that are beamed toward us in the whole universe.

  18. Category:Modeling Techniques | Open Energy Information

    Open Energy Info (EERE)

    Analytical Modeling 1 pages C Conceptual Model 1 pages M Modeling-Computer Simulations 1 pages N Numerical Modeling 1 pages P Portfolio Risk...

  19. Better Buildings Neighborhood Program Business Models Guide:...

    Office of Energy Efficiency and Renewable Energy (EERE) Indexed Site

    Business Models Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Better Buildings Neighborhood ...

  20. Sequence modelling and an extensible data model for genomic database

    SciTech Connect (OSTI)

    Li, Peter Wei-Der Lawrence Berkeley Lab., CA )

    1992-01-01

    The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS's do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the Extensible Object Model'', to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

  1. Sequence modelling and an extensible data model for genomic database

    SciTech Connect (OSTI)

    Li, Peter Wei-Der |

    1992-01-01

    The Human Genome Project (HGP) plans to sequence the human genome by the beginning of the next century. It will generate DNA sequences of more than 10 billion bases and complex marker sequences (maps) of more than 100 million markers. All of these information will be stored in database management systems (DBMSs). However, existing data models do not have the abstraction mechanism for modelling sequences and existing DBMS`s do not have operations for complex sequences. This work addresses the problem of sequence modelling in the context of the HGP and the more general problem of an extensible object data model that can incorporate the sequence model as well as existing and future data constructs and operators. First, we proposed a general sequence model that is application and implementation independent. This model is used to capture the sequence information found in the HGP at the conceptual level. In addition, abstract and biological sequence operators are defined for manipulating the modelled sequences. Second, we combined many features of semantic and object oriented data models into an extensible framework, which we called the ``Extensible Object Model``, to address the need of a modelling framework for incorporating the sequence data model with other types of data constructs and operators. This framework is based on the conceptual separation between constructors and constraints. We then used this modelling framework to integrate the constructs for the conceptual sequence model. The Extensible Object Model is also defined with a graphical representation, which is useful as a tool for database designers. Finally, we defined a query language to support this model and implement the query processor to demonstrate the feasibility of the extensible framework and the usefulness of the conceptual sequence model.

  2. Ranking and Sequencing Model

    Energy Science and Technology Software Center (OSTI)

    2009-08-13

    This database application (commonly called the Supermodel) provides a repository for managing critical facility/project information, allows the user to subjectively an objectively assess key criteria , quantify project risks, develop ROM cost estimates, determine facility/project end states, ultimately performing risk-based modeling to rank facilities/project based on risk, sequencing project schedules and provides an optimized recommended sequencing/scheduling of these projects which maximize the S&M cost savings to perform closure projects which benefit all stakeholders.

  3. Chemical kinetics modeling

    SciTech Connect (OSTI)

    Westbrook, C.K.; Pitz, W.J.

    1993-12-01

    This project emphasizes numerical modeling of chemical kinetics of combustion, including applications in both practical combustion systems and in controlled laboratory experiments. Elementary reaction rate parameters are combined into mechanisms which then describe the overall reaction of the fuels being studied. Detailed sensitivity analyses are used to identify those reaction rates and product species distributions to which the results are most sensitive and therefore warrant the greatest attention from other experimental and theoretical research programs. Experimental data from a variety of environments are combined together to validate the reaction mechanisms, including results from laminar flames, shock tubes, flow systems, detonations, and even internal combustion engines.

  4. Chemical Kinetic Modelling

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Kinetic Modelling for Combustion Prof. Henry Curran 1 Copyright ©2016 by Prof Henry Curran. This material is not to be sold, reproduced or distributed without prior written permission of the owner, Prof Henry Curran. 2 Overview/Aims 5 days / 15 lectures Day 1 (1-3) Basic thermodynamic principles Day 2 (4) Basic kinetic principles (5,6) Experimental JSR, FR, RCM & ST contribution to kinetics Day 3 (7-9) Small species mechanism development 3 Overview/Aims 5 days /

  5. Model for mapping settlements

    DOE Patents [OSTI]

    Vatsavai, Ranga Raju; Graesser, Jordan B.; Bhaduri, Budhendra L.

    2016-07-05

    A programmable media includes a graphical processing unit in communication with a memory element. The graphical processing unit is configured to detect one or more settlement regions from a high resolution remote sensed image based on the execution of programming code. The graphical processing unit identifies one or more settlements through the execution of the programming code that executes a multi-instance learning algorithm that models portions of the high resolution remote sensed image. The identification is based on spectral bands transmitted by a satellite and on selected designations of the image patches.

  6. World Energy Projection System Plus Model Documentation: Refinery Model

    Reports and Publications (EIA)

    2016-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  7. Nacelle Systems Engineering Model and Hub Systems Engineering Model

    Energy Science and Technology Software Center (OSTI)

    2012-09-30

    nacelleSE and hubSE are a set of models that size wind turbine hub system and drivetrain components based on key turbine design parameters and load inputs from a rotor model.

  8. World Energy Projection System Plus Model Documentation: District Heat Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) District Heat Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  9. World Energy Projection System Plus Model Documentation: Coal Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Coal Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  10. World Energy Projection System Plus Model Documentation: Commercial Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Commercial Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  11. World Energy Projection System Plus Model Documentation: Natural Gas Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Natural Gas Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  12. World Energy Projection System Plus Model Documentation: Main Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Main Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  13. World Energy Projection System Plus Model Documentation: Industrial Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Industrial Model (WIM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  14. World Energy Projection System Plus Model Documentation: Refinery Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Refinery Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  15. International Natural Gas Model 2011, Model Documentation Report

    Reports and Publications (EIA)

    2013-01-01

    This report documents the objectives, analytical approach and development of the International Natural Gas Model (INGM). It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  16. World Energy Projection System Plus Model Documentation: World Electricity Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) World Electricity Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  17. World Energy Projection System Plus Model Documentation: Transportation Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) International Transportation model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  18. World Energy Projection System Plus Model Documentation: Greenhouse Gases Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Greenhouse Gases Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  19. World Energy Projection System Plus Model Documentation: Residential Model

    Reports and Publications (EIA)

    2011-01-01

    This report documents the objectives, analytical approach and development of the World Energy Projection System Plus (WEPS ) Residential Model. It also catalogues and describes critical assumptions, computational methodology, parameter estimation techniques, and model source code.

  20. Integration of EBS Models with Generic Disposal System Models

    Office of Energy Efficiency and Renewable Energy (EERE)

    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 UFD campaign.

  1. Determining Reduced Order Models for Optimal Stochastic Reduced Order Models

    SciTech Connect (OSTI)

    Bonney, Matthew S.; Brake, Matthew R.W.

    2015-08-01

    The use of parameterized reduced order models(PROMs) within the stochastic reduced order model (SROM) framework is a logical progression for both methods. In this report, five different parameterized reduced order models are selected and critiqued against the other models along with truth model for the example of the Brake-Reuss beam. The models are: a Taylor series using finite difference, a proper orthogonal decomposition of the the output, a Craig-Bampton representation of the model, a method that uses Hyper-Dual numbers to determine the sensitivities, and a Meta-Model method that uses the Hyper-Dual results and constructs a polynomial curve to better represent the output data. The methods are compared against a parameter sweep and a distribution propagation where the first four statistical moments are used as a comparison. Each method produces very accurate results with the Craig-Bampton reduction having the least accurate results. The models are also compared based on time requirements for the evaluation of each model where the Meta- Model requires the least amount of time for computation by a significant amount. Each of the five models provided accurate results in a reasonable time frame. The determination of which model to use is dependent on the availability of the high-fidelity model and how many evaluations can be performed. Analysis of the output distribution is examined by using a large Monte-Carlo simulation along with a reduced simulation using Latin Hypercube and the stochastic reduced order model sampling technique. Both techniques produced accurate results. The stochastic reduced order modeling technique produced less error when compared to an exhaustive sampling for the majority of methods.

  2. Factory Cost Model

    Energy Science and Technology Software Center (OSTI)

    1996-12-17

    The Factory Cost Model (FCM) is an economic analysis tool intended to provide flat panel display (FPD) and other similar discrete component manufacturers with the ability to make first-order estimates of the cost of unit production. This software has several intended uses. Primary among these is the ability to provide first-order economic analysis for future factories. Consequently, the model requires a minimal level of input detail, and accomodates situations where actual production data are notmore » available. This software is designed to be activity based such that most of the calculated direct costs are associated with the steps of a manufacturibg process. The FCM architecture has the ability to accomodate the analysis of existing manufacturing facilities. The FCM can provide assistance with strategic economic decisions surrounding production related matters. For instance, the program can project the effect on costs and resources of a new product''s introduction, or it can assess the potential cost reduction produced by step yield improvements in the manufacturing process.« less

  3. Global Energy Futures Model

    Energy Science and Technology Software Center (OSTI)

    2004-01-01

    The Global Energy Futures Model (GEFM) is a demand-based, gross domestic product (GDP)-driven, dynamic simulation tool that provides an integrated framework to model key aspects of energy, nuclear-materials storage and disposition, environmental effluents from fossil and non fossil energy and global nuclear-materials management. Based entirely on public source data, it links oil, natural gas, coal, nuclear and renewable energy dynamically to greenhouse-gas emissions and 13 other measures of environmental impact. It includes historical data frommore » 1990 to 2000, is benchmarked to the DOE/EIA/IEO 2002 [5] Reference Case for 2000 to 2020, and extrapolates energy demand through the year 2050. The GEFM is globally integrated, and breaks out five regions of the world: United States of America (USA), the Peoples Republic of China (China), the former Soviet Union (FSU), the Organization for Economic Cooperation and Development (OECD) nations excluding the USA (other industrialized countries), and the rest of the world (ROW) (essentially the developing world). The GEFM allows the user to examine a very wide range of what ir scenarios through 2050 and to view the potential effects across widely dispersed, but interrelated areas. The authors believe that this high-level learning tool will help to stimulate public policy debate on energy, environment, economic and national security issues.« less

  4. Operation Periods: Single Column Model

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    2 Fall 2002 Intensive Operation Periods: Single Column Model and Unmanned Aerospace Vehicle In an Intensive Operation Period (IOP) on November 3-23, 2002, researchers at the SGP CART site are collecting a detailed data set for use in improving the Single Column Model (SCM), a scaled- down climate model. The SCM represents one vertical column of air above Earth's surface and requires less computation time than a full-scale global climate model. Researchers first use the SCM to efficiently improve

  5. ORISE: Dose modeling and assessments

    Broader source: All U.S. Department of Energy (DOE) Office Webpages (Extended Search)

    Dose modeling and assessments The Oak Ridge Institute for Science and Education (ORISE) offers dose modeling and assessment services to demonstrate that federal and/or state regulatory compliance requirements are being met during the decontamination and decommissioning of nuclear facilities. Dose modeling is an important step in the assessment of safety and regulatory compliance, as well as the development of standards and regulatory rulemaking. The ultimate goal of dose modeling and assessments

  6. Business Model Guide Executive Summary

    Broader source: Energy.gov [DOE]

    The Business Model Guide Executive Summary by the U.S. Department of Energy's Better Buildings Neighborhood Program.

  7. Regions in Energy Market Models

    SciTech Connect (OSTI)

    2009-01-18

    This report explores the different options for spatial resolution of an energy market model and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  8. Regions in Energy Market Models

    SciTech Connect (OSTI)

    Short, W.

    2007-02-01

    This report explores the different options for spatial resolution of an energy market model--and the advantages and disadvantages of models with fine spatial resolution. It examines different options for capturing spatial variations, considers the tradeoffs between them, and presents a few examples from one particular model that has been run at different levels of spatial resolution.

  9. Nattoh model for cold fusion

    SciTech Connect (OSTI)

    Matsumoto, T. . Dept. of Nuclear Engineering)

    1989-12-01

    A hypothetical model, the Nattoh model, is proposed to answer the questions that result from cold fusion experiments. This model proposes the formation of a small cluster of deuterons and examines the feasibility of many-body fusion reactions. The gamma-ray spectrum, heat production, neutron emissions, and fusion products are discussed.

  10. Biosafety Risk Assessment Model

    Energy Science and Technology Software Center (OSTI)

    2011-05-27

    Software tool based on a structured methodology for conducting laboratory biosafety risk assessments by biosafety experts. Software is based upon an MCDA scheme and uses peer reviewed criteria and weights. The software was developed upon Microsoft’s .net framework. The methodology defines likelihood and consequence of a laboratory exposure for thirteen unique scenarios and provides numerical relative risks for each of the relevant thirteen. The software produces 2-d graphs reflecting the relative risk and a sensitivitymore » analysis which highlights the overall importance of each factor. The software works as a set of questions with absolute scales and uses a weighted additive model to calculate the likelihood and consequence.« less

  11. Kauai Groundwater Flow Model

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nicole Lautze

    2015-01-01

    Groundwater flow model for Kauai. Data is from the following sources: Whittier, R. and A.I. El-Kadi. 2014. Human and Environmental Risk Ranking of Onsite Sewage Disposal Systems For the Hawaiian Islands of Kauai, Molokai, Maui, and Hawaii – Final. Prepared by the University of Hawaii, Dept. of Geology and Geophysics for the State of Hawaii Dept. of Health, Safe Drinking Water Branch. September 2014.; and Whittier, R.B., K. Rotzoll, S. Dhal, A.I. El-Kadi, C. Ray, G. Chen, and D. Chang. 2004. Hawaii Source Water Assessment Program Report – Volume IV – Island of Kauai Source Water Assessment Program Report. Prepared for the Hawaii Department of Health, Safe Drinking Water Branch. University of Hawaii, Water Resources Research Center. Updated 2015.

  12. Oahu Groundwater Flow Model

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nicole Lautze

    2015-01-01

    Groundwater flow model for the island of Oahu. Data is from the following sources: Rotzoll, K., A.I. El-Kadi. 2007. Numerical Ground-Water Flow Simulation for Red Hill Fuel Storage Facilities, NAVFAC Pacific, Oahu, Hawaii - Prepared TEC, Inc. Water Resources Research Center, University of Hawaii, Honolulu.; Whittier, R.B., K. Rotzoll, S. Dhal, A.I. El-Kadi, C. Ray, G. Chen, and D. Chang. 2004. Hawaii Source Water Assessment Program Report – Volume VII – Island of Oahu Source Water Assessment Program Report. Prepared for the Hawaii Department of Health, Safe Drinking Water Branch. University of Hawaii, Water Resources Research Center. Updated 2008.; and Whittier, R. and A.I. El-Kadi. 2009. Human and Environmental Risk Ranking of Onsite Sewage Disposal Systems – Final. Prepared by the University of Hawaii, Dept. of Geology and Geophysics for the State of Hawaii Dept. of Health, Safe Drinking Water Branch. December 2009.

  13. MULTISCALE THERMOHYDROLOGIC MODEL

    SciTech Connect (OSTI)

    T. Buscheck

    2005-07-07

    The intended purpose of the multiscale thermohydrologic model (MSTHM) is to predict the possible range of thermal-hydrologic conditions, resulting from uncertainty and variability, in the repository emplacement drifts, including the invert, and in the adjoining host rock for the repository at Yucca Mountain. The goal of the MSTHM is to predict a reasonable range of possible thermal-hydrologic conditions within the emplacement drift. To be reasonable, this range includes the influence of waste-package-to-waste-package heat output variability relevant to the license application design, as well as the influence of uncertainty and variability in the geologic and hydrologic conditions relevant to predicting the thermal-hydrologic response in emplacement drifts. This goal is quite different from the goal of a model to predict a single expected thermal-hydrologic response. As a result, the development and validation of the MSTHM and the associated analyses using this model are focused on the goal of predicting a reasonable range of thermal-hydrologic conditions resulting from parametric uncertainty and waste-package-to-waste-package heat-output variability. Thermal-hydrologic conditions within emplacement drifts depend primarily on thermal-hydrologic conditions in the host rock at the drift wall and on the temperature difference between the drift wall and the drip-shield and waste-package surfaces. Thus, the ability to predict a reasonable range of relevant in-drift MSTHM output parameters (e.g., temperature and relative humidity) is based on valid predictions of thermal-hydrologic processes in the host rock, as well as valid predictions of heat-transfer processes between the drift wall and the drip-shield and waste-package surfaces. Because the invert contains crushed gravel derived from the host rock, the invert is, in effect, an extension of the host rock, with thermal and hydrologic properties that have been modified by virtue of the crushing (and the resulting

  14. Kauai Groundwater Flow Model

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Nicole Lautze

    2015-01-01

    Groundwater flow model for Kauai. Data is from the following sources: Whittier, R. and A.I. El-Kadi. 2014. Human and Environmental Risk Ranking of Onsite Sewage Disposal Systems For the Hawaiian Islands of Kauai, Molokai, Maui, and Hawaii Final. Prepared by the University of Hawaii, Dept. of Geology and Geophysics for the State of Hawaii Dept. of Health, Safe Drinking Water Branch. September 2014.; and Whittier, R.B., K. Rotzoll, S. Dhal, A.I. El-Kadi, C. Ray, G. Chen, and D. Chang. 2004. Hawaii Source Water Assessment Program Report Volume IV Island of Kauai Source Water Assessment Program Report. Prepared for the Hawaii Department of Health, Safe Drinking Water Branch. University of Hawaii, Water Resources Research Center. Updated 2015.

  15. Modeling cortical circuits.

    SciTech Connect (OSTI)

    Rohrer, Brandon Robinson; Rothganger, Fredrick H.; Verzi, Stephen J.; Xavier, Patrick Gordon

    2010-09-01

    The neocortex is perhaps the highest region of the human brain, where audio and visual perception takes place along with many important cognitive functions. An important research goal is to describe the mechanisms implemented by the neocortex. There is an apparent regularity in the structure of the neocortex [Brodmann 1909, Mountcastle 1957] which may help simplify this task. The work reported here addresses the problem of how to describe the putative repeated units ('cortical circuits') in a manner that is easily understood and manipulated, with the long-term goal of developing a mathematical and algorithmic description of their function. The approach is to reduce each algorithm to an enhanced perceptron-like structure and describe its computation using difference equations. We organize this algorithmic processing into larger structures based on physiological observations, and implement key modeling concepts in software which runs on parallel computing hardware.

  16. Detailed Physical Trough Model for NREL's Solar Advisor Model: Preprint

    SciTech Connect (OSTI)

    Wagner, M. J.; Blair, N.; Dobos, A.

    2010-10-01

    Solar Advisor Model (SAM) is a free software package made available by the National Renewable Energy Laboratory (NREL), Sandia National Laboratory, and the US Department of Energy. SAM contains hourly system performance and economic models for concentrating solar power (CSP) systems, photovoltaic, solar hot-water, and generic fuel-use technologies. Versions of SAM prior to 2010 included only the parabolic trough model based on Excelergy. This model uses top-level empirical performance curves to characterize plant behavior, and thus is limited in predictive capability for new technologies or component configurations. To address this and other functionality challenges, a new trough model; derived from physical first principles was commissioned to supplement the Excelergy-based empirical model. This new 'physical model' approaches the task of characterizing the performance of the whole parabolic trough plant by replacing empirical curve-fit relationships with more detailed calculations where practical. The resulting model matches the annual performance of the SAM empirical model (which has been previously verified with plant data) while maintaining run-times compatible with parametric analysis, adding additional flexibility in modeled system configurations, and providing more detailed performance calculations in the solar field, power block, piping, and storage subsystems.

  17. Inventory of state energy models

    SciTech Connect (OSTI)

    Melcher, A.G.; Gist, R.L.; Underwood, R.G.; Weber, J.C.

    1980-03-31

    These models address a variety of purposes, such as supply or demand of energy or of certain types of energy, emergency management of energy, conservation in end uses of energy, and economic factors. Fifty-one models are briefly described as to: purpose; energy system; applications;status; validation; outputs by sector, energy type, economic and physical units, geographic area, and time frame; structure and modeling techniques; submodels; working assumptions; inputs; data sources; related models; costs; references; and contacts. Discussions in the report include: project purposes and methods of research, state energy modeling in general, model types and terminology, and Federal legislation to which state modeling is relevant. Also, a state-by-state listing of modeling efforts is provided and other model inventories are identified. The report includes a brief encylopedia of terms used in energy models. It is assumed that many readers of the report will not be experienced in the technical aspects of modeling. The project was accomplished by telephone conversations and document review by a team from the Colorado School of Mines Research Institute and the faculty of the Colorado School of Mines. A Technical Committee (listed in the report) provided advice during the course of the project.

  18. Application of Improved Radiation Modeling to General Circulation Models

    SciTech Connect (OSTI)

    Michael J Iacono

    2011-04-07

    This research has accomplished its primary objectives of developing accurate and efficient radiation codes, validating them with measurements and higher resolution models, and providing these advancements to the global modeling community to enhance the treatment of cloud and radiative processes in weather and climate prediction models. A critical component of this research has been the development of the longwave and shortwave broadband radiative transfer code for general circulation model (GCM) applications, RRTMG, which is based on the single-column reference code, RRTM, also developed at AER. RRTMG is a rigorously tested radiation model that retains a considerable level of accuracy relative to higher resolution models and measurements despite the performance enhancements that have made it possible to apply this radiation code successfully to global dynamical models. This model includes the radiative effects of all significant atmospheric gases, and it treats the absorption and scattering from liquid and ice clouds and aerosols. RRTMG also includes a statistical technique for representing small-scale cloud variability, such as cloud fraction and the vertical overlap of clouds, which has been shown to improve cloud radiative forcing in global models. This development approach has provided a direct link from observations to the enhanced radiative transfer provided by RRTMG for application to GCMs. Recent comparison of existing climate model radiation codes with high resolution models has documented the improved radiative forcing capability provided by RRTMG, especially at the surface, relative to other GCM radiation models. Due to its high accuracy, its connection to observations, and its computational efficiency, RRTMG has been implemented operationally in many national and international dynamical models to provide validated radiative transfer for improving weather forecasts and enhancing the prediction of global climate change.

  19. Modeling the Nuclear Fuel Cycle

    SciTech Connect (OSTI)

    Jacob J. Jacobson; A. M. Yacout; G. E. Matthern; S. J. Piet; A. Moisseytsev

    2005-07-01

    The Advanced Fuel Cycle Initiative is developing a system dynamics model as part of their broad systems analysis of future nuclear energy in the United States. The model will be used to analyze and compare various proposed technology deployment scenarios. The model will also give a better understanding of the linkages between the various components of the nuclear fuel cycle that includes uranium resources, reactor number and mix, nuclear fuel type and waste management. Each of these components is tightly connected to the nuclear fuel cycle but usually analyzed in isolation of the other parts. This model will attempt to bridge these components into a single model for analysis. This work is part of a multi-national laboratory effort between Argonne National Laboratory, Idaho National Laboratory and United States Department of Energy. This paper summarizes the basics of the system dynamics model and looks at some results from the model.

  20. San Joaquin-Tulare Conjunctive Use Model: Detailed model description

    SciTech Connect (OSTI)

    Quinn, N.W.T.

    1992-03-01

    The San Joaquin - Tulare Conjunctive Use Model (SANTUCM) was originally developed for the San Joaquin Valley Drainage Program to evaluate possible scenarios for long-term management of drainage and drainage - related problems in the western San Joaquin Valley of California. A unique aspect of this model is its coupling of a surface water delivery and reservoir operations model with a regional groundwater model. The model also performs salinity balances along the tributaries and along the main stem of the San Joaquin River to allow assessment of compliance with State Water Resources Control Board water quality objectives for the San Joaquin River. This document is a detailed description of the various subroutines, variables and parameters used in the model.