National Library of Energy BETA

Sample records for gateway input validation

  1. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits...

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

    3: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting...

  2. T-701: Citrix Access Gateway Enterprise Edition Input Validation...

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

    1: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks T-701: Citrix Access Gateway Enterprise Edition Input...

  3. T-701: Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Citrix Access Gateway Enterprise Edition Input Validation Flaw in Logon Portal Permits Cross-Site Scripting Attacks.

  4. V-153: Symantec Brightmail Gateway Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Symantec’s Brightmail Gateway management console is susceptible to stored cross-site scripting (XSS) issues found in some of the administrative interface pages.

  5. T-693: Symantec Endpoint Protection Manager Input Validation...

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

    Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site...

  6. V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated...

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

    Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated Privileges V-150: Apache VCL Input Validation Flaw Lets Remote Authenticated Users Gain Elevated...

  7. U-252: Barracuda Web Filter Input Validation Flaws Permit Cross...

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

    2: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks U-252: Barracuda Web Filter Input Validation Flaws Permit Cross-Site Scripting Attacks September...

  8. U-144:Juniper Secure Access Input Validation Flaw Permits Cross...

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

    4:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks April 10,...

  9. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross...

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

    3: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks July 5, 2013 -...

  10. U-001:Symantec IM Manager Input Validation Flaws

    Broader source: Energy.gov [DOE]

    Symantec IM Manager Input Validation Flaws Permit Cross-Site Scripting, SQL Injection, and Code Execution Attacks.

  11. V-192: Symantec Security Information Manager Input Validation...

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

    Flaws Permit Cross-Site Scripting, SQL Injection, and Information Disclosure Attacks V-192: Symantec Security Information Manager Input Validation Flaws Permit Cross-Site...

  12. V-139: Cisco Network Admission Control Input Validation Flaw...

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

    PROBLEM: Cisco Network Admission Control Input Validation Flaw Lets Remote Users Inject SQL Commands PLATFORM: Cisco NAC Manager versions prior to 4.8.3.1 and 4.9.2 ABSTRACT: A...

  13. Science Gateways

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

    About Science Gateways A science gateway is a web-based interface to access HPC computers ... perform shared computations, and generally interact with NERSC resources over the web. ...

  14. The SCALE Verified, Archived Library of Inputs and Data - VALID

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2013-01-01

    The Verified, Archived Library of Inputs and Data (VALID) at ORNL contains high quality, independently reviewed models and results that improve confidence in analysis. VALID is developed and maintained according to a procedure of the SCALE quality assurance (QA) plan. This paper reviews the origins of the procedure and its intended purpose, the philosophy of the procedure, some highlights of its implementation, and the future of the procedure and associated VALID library. The original focus of the procedure was the generation of high-quality models that could be archived at ORNL and applied to many studies. The review process associated with model generation minimized the chances of errors in these archived models. Subsequently, the scope of the library and procedure was expanded to provide high quality, reviewed sensitivity data files for deployment through the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). Sensitivity data files for approximately 400 such models are currently available. The VALID procedure and library continue fulfilling these multiple roles. The VALID procedure is based on the quality assurance principles of ISO 9001 and nuclear safety analysis. Some of these key concepts include: independent generation and review of information, generation and review by qualified individuals, use of appropriate references for design data and documentation, and retrievability of the models, results, and documentation associated with entries in the library. Some highlights of the detailed procedure are discussed to provide background on its implementation and to indicate limitations of data extracted from VALID for use by the broader community. Specifically, external users of data generated within VALID must take responsibility for ensuring that the files are used within the QA framework of their organization and that use is appropriate. The future plans for the VALID library include expansion to include additional experiments from the IHECSBE, to include experiments from areas beyond criticality safety, such as reactor physics and shielding, and to include application models. In the future, external SCALE users may also obtain qualification under the VALID procedure and be involved in expanding the library. The VALID library provides a pathway for the criticality safety community to leverage modeling and analysis expertise at ORNL.

  15. U-139: IBM Tivoli Directory Server Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The Web Admin Tool does not properly filter HTML code from user-supplied input before displaying the input.

  16. U-147:Red Hat Enterprise MRG Grid Input Validation Flaw

    Broader source: Energy.gov [DOE]

    The MRG Management Console (Cumin) does not properly filter HTML code from user-supplied input before displaying the input.

  17. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross...

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

    Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial...

  18. V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    8: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-168: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks May 31, 2013 - 6:00am Addthis...

  19. T-602: BlackBerry Enterprise Server Input Validation Flaw in...

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

    02: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks T-602: BlackBerry Enterprise Server Input Validation...

  20. V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting...

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

    4: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks V-124: Splunk Web Input Validation Flaw Permits Cross-Site Scripting Attacks April 2, 2013 - 1:13am Addthis...

  1. T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site

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

    Scripting Attacks Arbitrary Code | Department of Energy 6: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code T-546: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code January 31, 2011 - 7:00am Addthis PROBLEM: Microsoft MHTML Input Validation Hole May Permit Cross-Site Scripting Attacks Arbitrary Code. PLATFORM: Microsoft 2003 SP2, Vista SP2, 2008 SP2, XP SP3, 7; and prior service packs ABSTRACT: A

  2. T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit

    Energy Savers [EERE]

    Cross-Site Scripting Attacks | Department of Energy 2: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks T-722: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks September 21, 2011 - 8:15am Addthis PROBLEM: IBM WebSphere Commerce Edition Input Validation Holes Permit Cross-Site Scripting Attacks. PLATFORM: WebSphere Commerce Edition V7.0 ABSTRACT: A remote user can access the target user's cookies (including

  3. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site...

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

    V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August ... Addthis Related Articles V-211: IBM iNotes Multiple Vulnerabilities U-198: IBM Lotus ...

  4. GATEWAY ENTERPRISES

    Office of Legacy Management (LM)

    C GATEWAY ENTERPRISES October 30, 2007 Stephen F. Tarlton, P.E., Unit Leader Hazardous Materials & Waste Management Dept. of Public Health & Environment 4300 Cherry Creek Drive South Radioactive Materials Management Unit Denver, CO 80246-1530 RE: DOE Computer Model, Rulison Dear Mr. Tarlton: This letter provides our general thoughts about the recently-reported DOE mathematical simulation of the Rulison site (1). We were retained to review the DOE report by the Danielson Law Firm, and our

  5. V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting

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

    Attacks | Department of Energy 9: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks V-229: IBM Lotus iNotes Input Validation Flaws Permit Cross-Site Scripting Attacks August 28, 2013 - 6:00am Addthis PROBLEM: Several vulnerabilities were reported in IBM Lotus iNotes PLATFORM: IBM Lotus iNotes 8.5.x ABSTRACT: IBM Lotus iNotes 8.5.x contains four cross-site scripting vulnerabilities REFERENCE LINKS: Security Tracker Alert ID 1028954 IBM Security Bulletin 1647740

  6. U-195: PHPlist Input Validation Flaws Permit Cross-Site Scripting and SQL Injection Attacks

    Broader source: Energy.gov [DOE]

    The 'public_html/lists/admin' pages do not properly validate user-supplied input in the 'sortby' parameter [CVE-2012-2740]. A remote authenticated administrative user can supply a specially crafted parameter value to execute SQL commands on the underlying database.

  7. Category:Gateways | Open Energy Information

    Open Energy Info (EERE)

    Low Emissions Assistance Network (CLEAN) E Gateway:ECOWAS Clean Energy Gateway G Gateway:Geothermal H Gateway:Hydrogen I Gateway:Incentives and Policies Gateway:International...

  8. T-623: HP Business Availability Center Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input before displaying the input.

  9. V-193: Barracuda SSL VPN Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Several scripts do not properly filter HTML code from user-supplied input before displaying the input via several parameters

  10. T-693: Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks

    Broader source: Energy.gov [DOE]

    Symantec Endpoint Protection Manager Input Validation Hole Permits Cross-Site Scripting and Cross-Site Request Forgery Attacks .

  11. U-050: Adobe Flex SDK Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Flex applications created using the Flex SDK may not properly filter HTML code from user-supplied input before displaying the input.

  12. U-144:Juniper Secure Access Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The VPN management interface does not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser.

  13. Your GatewaY

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

    nle Your GatewaY to InformatIon across the Department of enerGY Energy and Technology for Industry and Homeowners Energy Market Information and Analysis Nuclear Security and...

  14. High-performance parallel interface to synchronous optical network gateway

    DOE Patents [OSTI]

    St. John, W.B.; DuBois, D.H.

    1996-12-03

    Disclosed is a system of sending and receiving gateways interconnects high speed data interfaces, e.g., HIPPI interfaces, through fiber optic links, e.g., a SONET network. An electronic stripe distributor distributes bytes of data from a first interface at the sending gateway onto parallel fiber optics of the fiber optic link to form transmitted data. An electronic stripe collector receives the transmitted data on the parallel fiber optics and reforms the data into a format effective for input to a second interface at the receiving gateway. Preferably, an error correcting syndrome is constructed at the sending gateway and sent with a data frame so that transmission errors can be detected and corrected in a real-time basis. Since the high speed data interface operates faster than any of the fiber optic links the transmission rate must be adapted to match the available number of fiber optic links so the sending and receiving gateways monitor the availability of fiber links and adjust the data throughput accordingly. In another aspect, the receiving gateway must have sufficient available buffer capacity to accept an incoming data frame. A credit-based flow control system provides for continuously updating the sending gateway on the available buffer capacity at the receiving gateway. 7 figs.

  15. High-performance parallel interface to synchronous optical network gateway

    DOE Patents [OSTI]

    St. John, Wallace B. (Los Alamos, NM); DuBois, David H. (Los Alamos, NM)

    1996-01-01

    A system of sending and receiving gateways interconnects high speed data interfaces, e.g., HIPPI interfaces, through fiber optic links, e.g., a SONET network. An electronic stripe distributor distributes bytes of data from a first interface at the sending gateway onto parallel fiber optics of the fiber optic link to form transmitted data. An electronic stripe collector receives the transmitted data on the parallel fiber optics and reforms the data into a format effective for input to a second interface at the receiving gateway. Preferably, an error correcting syndrome is constructed at the sending gateway and sent with a data frame so that transmission errors can be detected and corrected in a real-time basis. Since the high speed data interface operates faster than any of the fiber optic links the transmission rate must be adapted to match the available number of fiber optic links so the sending and receiving gateways monitor the availability of fiber links and adjust the data throughput accordingly. In another aspect, the receiving gateway must have sufficient available buffer capacity to accept an incoming data frame. A credit-based flow control system provides for continuously updating the sending gateway on the available buffer capacity at the receiving gateway.

  16. Science Gateways : Demos

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

    Demos Science Gateways : Demos Most science gateway services require authentication to access compute and data resources. If you're not a NERSC user this will limit the scope of the examples below. If you are a NERSC user please login with your NERSC username and password to enable the examples below. demo set 1 Last edited: 2016-02-01 08:06:05

  17. U-255: Apache Wicket Input Validation Flaw Permits Cross-Site...

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

    in ajax links before displaying the input. A remote user can create a specially crafted URL that, when loaded by a target user, will cause arbitrary scripting code to be executed...

  18. gateway | OpenEI Community

    Open Energy Info (EERE)

    by Graham7781(2017) Super contributor 28 March, 2013 - 15:16 OpenEI launches new Water Power Gateway and Community Forum community forum gateway OpenEI Water power OpenEI...

  19. GATEWAY Demonstrations | Department of Energy

    Office of Environmental Management (EM)

    GATEWAY Demonstrations GATEWAY Demonstrations DOE GATEWAY demonstrations enable detailed LED product evaluation and hands-on experience that cannot be replicated in a lab. High-performance LED products are selected and installed in real-world applications, providing valuable data and experience on product performance and cost effectiveness. The results often reveal important issues related to installation, interface, and control. Results DOE shares the results of completed GATEWAY demonstration

  20. Science Gateway: The Materials Project

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

    of pre-computed properties comprises some 35,000 materials, all accessible through a web-based NERSC Science Gateway: The Materials Project (https:materialsproject.org)....

  1. BASSET: Scalable Gateway Finder in Large Graphs

    SciTech Connect (OSTI)

    Tong, H; Papadimitriou, S; Faloutsos, C; Yu, P S; Eliassi-Rad, T

    2010-11-03

    Given a social network, who is the best person to introduce you to, say, Chris Ferguson, the poker champion? Or, given a network of people and skills, who is the best person to help you learn about, say, wavelets? The goal is to find a small group of 'gateways': persons who are close enough to us, as well as close enough to the target (person, or skill) or, in other words, are crucial in connecting us to the target. The main contributions are the following: (a) we show how to formulate this problem precisely; (b) we show that it is sub-modular and thus it can be solved near-optimally; (c) we give fast, scalable algorithms to find such gateways. Experiments on real data sets validate the effectiveness and efficiency of the proposed methods, achieving up to 6,000,000x speedup.

  2. T-670: Skype Input Validation Flaw in 'mobile phone' Profile Entry Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The software does not properly filter HTML code from user-supplied input in the The "mobile phone" profile entry before displaying the input.

  3. Gateway Energy (formerly Econnergy) | Open Energy Information

    Open Energy Info (EERE)

    ineLabel":"","visitedicon":"" Hide Map References: Gateway Energy (formerly Econnergy) Web Site1 This article is a stub. You can help OpenEI by expanding it. Gateway Energy...

  4. A Science Data Gateway for Environmental Management

    SciTech Connect (OSTI)

    Agarwal, Deborah, A; Faybishenko, Boris; Freedman, Vicky, L; Krishnan, Harinarayan; Kushner, Gary; Lansing, Carina; Porter, Ellen; Romosan, Alexandru; Shoshani, Arie; Wainwright, Haruko; Weidmer, Arthur; Wu, Kesheng

    2015-10-12

    Science data gateways are effective in providing complex science data collections to the world-wide user communities. In this paper we describe a gateway for the Advanced Simulation Capability for Environmental Management (ASCEM) framework. Built on top of established web service technologies, the ASCEM data gateway is specifically designed for environmental modeling applications. Its key distinguishing features include: (1) handling of complex spatiotemporal data, (2) offering a variety of selective data access mechanisms, (3) providing state of the art plotting and visualization of spatiotemporal data records, and (4) integrating seamlessly with a distributed workflow system using a RESTful interface. ASCEM project scientists have been using this data gateway since 2011.

  5. ARM-UAV Mission Gateway System

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

    ARM-UAV Mission Gateway System S. T. Moore and S. Bottone Mission Research Corporation Santa Barbara, California Introduction The Atmospheric Radiation Measurement-unmanned...

  6. ScienceGatewaysNUG-20091007.ppt

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

    2009 2 Science Gateways at NERSC * Web access methods to NERSC resources - Much is possible beyond yesterday's "ssh+pbs" computing - Today web interfaces expected for everything - ...

  7. T-663: Cisco Content Services Gateway ICMP Processing Flaw Lets...

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

    3: Cisco Content Services Gateway ICMP Processing Flaw Lets Remote Users Deny Service T-663: Cisco Content Services Gateway ICMP Processing Flaw Lets Remote Users Deny Service July...

  8. Gateway:Low Emission Development Strategies | Open Energy Information

    Open Energy Info (EERE)

    Gateway Edit History Gateway:Low Emission Development Strategies (Redirected from LEDS) Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies...

  9. Gateway:Low Emission Development Strategies | Open Energy Information

    Open Energy Info (EERE)

    Edit History Gateway:Low Emission Development Strategies Jump to: navigation, search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway Hello why do you...

  10. Global Science Gateway Agreement Signed in London | Department...

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

    Global Science Gateway Agreement Signed in London Global Science Gateway Agreement Signed in London January 22, 2006 - 10:15am Addthis DOE Partners With British Library on...

  11. ECOWAS Clean Energy Gateway-Help | Open Energy Information

    Open Energy Info (EERE)

    ECOWAS Clean Energy Gateway-Help Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries...

  12. ECOWAS Clean Energy Gateway-Links | Open Energy Information

    Open Energy Info (EERE)

    ECOWAS Clean Energy Gateway-Links Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries...

  13. ECOWAS Clean Energy Gateway-About | Open Energy Information

    Open Energy Info (EERE)

    ECOWAS Clean Energy Gateway-About Jump to: navigation, search Economic Community of West African States (ECOWAS) Clean Energy Gateway Home | About | News | Links | Help | Countries...

  14. New GATEWAY Report Monitors LED System Performance in a High...

    Office of Environmental Management (EM)

    GATEWAY Report Monitors LED System Performance in a High-Temperature Environment New GATEWAY Report Monitors LED System Performance in a High-Temperature Environment May 11, 2015 - ...

  15. Wind Energy Data and Information Gateway (WENDI) | Open Energy...

    Open Energy Info (EERE)

    Information Gateway (WENDI) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Wind Energy Data and Information Gateway (WENDI) AgencyCompany Organization: United...

  16. Solid State Lighting: GATEWAY and CALiPER

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

    Marc Ledbetter Pacific Northwest National Laboratory Marc.Ledbetter@pnnl.gov 503.417.7557 April 3, 2013 Solid State Lighting: GATEWAY & CALiPER Solid State Lighting: GATEWAY & CALiPER 2 | Building Technologies Office eere.energy.gov GATEWAY Problem Statement GATEWAY includes Muni Consortium Multi-Year Market Development Support Plan * IDs 5 key market barriers. Most relevant to GATEWAY are: - Lack of information for buyers and lighting professionals - High transaction costs * IDs 10 key

  17. Gateway for Accelerated Innovation in Nuclear

    Broader source: Energy.gov [DOE]

    In November 2015, DOE announced it is establishing the Gateway for Accelerated Innovation in Nuclear (GAIN) to provide the nuclear energy community with access to the technical, regulatory, and...

  18. SSL GATEWAY UNIVERSITY OF FLORIDA DANCE SHOWCASE

    Broader source: Energy.gov [DOE]

    View the video showing side-by-side dance performances with halogen and LED sidelighting as part of the Solid-State Lighting GATEWAY demonstration at the University of Florida.

  19. NERSC Gateways Pave Way for 'Team Science'

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

    NERSC's Science Gateways Pave Way for 'Team Science' NERSC Gateways Pave Way for 'Team Science' Computational scientists at NERSC work with researchers around the globe to develop online tools that are changing the way they compute and collaborate March 12, 2014 Contact: Kathy Kincade, +1 510 495 2124, kkincade@lbl.gov For nearly a decade, computational scientists at the Department of Energy's National Energy Scientific Research Computing Center (NERSC) have been working with researchers around

  20. GATEWAY Demonstration Indoor Projects | Department of Energy

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

    Demonstration Indoor Projects GATEWAY Demonstration Indoor Projects DOE shares the results of completed GATEWAY demonstration projects, publishing detailed reports that include analysis of data collected, projected energy savings, economic analyses, and user feedback. Report briefs summarize key findings in a quick-scan format. Both the reports and briefs are available as Adobe Acrobat PDFs. Completed Indoor Projects photo of a large atrium LED Wall Washer Retrofit: College Park, Maryland At the

  1. GATEWAY Demonstration Outdoor Projects | Department of Energy

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

    Outdoor Projects GATEWAY Demonstration Outdoor Projects DOE shares the results of completed GATEWAY demonstration projects, publishing detailed reports that include analysis of data collected, projected energy savings, economic analyses, and user feedback. Report briefs summarize key findings in a quick-scan format. Both the reports and briefs are available as Adobe Acrobat PDFs. Completed Outdoor Projects Photo of an airport apron. Philadelphia International Airport Apron Lighting: LED System

  2. GATEWAY Demonstration Special Reports | Department of Energy

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

    Special Reports GATEWAY Demonstration Special Reports DOE shares the results of completed GATEWAY demonstration projects, publishing detailed reports that include analysis of data collected, projected energy savings, economic analyses, and user feedback. Report briefs summarize key findings in a quick-scan format. Both the reports and briefs are available as Adobe Acrobat PDFs. Completed Special Reports dunedin-thumb.jpg SSL Adoption by Museums: Survey Results, Analysis, and Recommendations A

  3. DOE Publishes GATEWAY Report on Pedestrian Friendly Outdoor Lighting

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) has published a new GATEWAY report entitled Pedestrian Friendly Outdoor Lighting. Recognizing that pedestrian lighting has different criteria for success than street and area lighting, GATEWAY followed t

  4. Text-Alternative Version: Smithsonian GATEWAY Demonstration Video

    Broader source: Energy.gov [DOE]

    Following is a text version of a video about the GATEWAY demonstration project at the Smithsonian American Art Museum.

  5. The Smithsonian American Art Museum GATEWAY Demonstration | Department of

    Energy Savers [EERE]

    Energy Videos » The Smithsonian American Art Museum GATEWAY Demonstration The Smithsonian American Art Museum GATEWAY Demonstration View the video about using LEDs in a GATEWAY demonstration at the Smithsonian American Art Museum in Washington, DC, including an interview with lighting designer Scott Rosenfeld. View the text-alternative version.

  6. Validation

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

    Validation in fusion research: Towards guidelines and best practices P. W. Terry, 1 M. Greenwald, 2 J.-N. Leboeuf, 3 G. R. McKee, 4 D. R. Mikkelsen, 5 W. M. Nevins, 6 D. E. Newman, 7 D. P. Stotler, 5 Task Group on Verification and Validation, U.S. Burning Plasma Organization, and U.S. Transport Task Force 1 Department of Physics, University of Wisconsin-Madison, Madison, Wisconsin 53706, USA 2 Plasma Science and Fusion Center, Massachusetts Institute of Technology, Cambridge, Massachusetts

  7. U-173: Symantec Web Gateway Multiple Vulnerabilities

    Broader source: Energy.gov [DOE]

    Several vulnerabilities were reported in Symantec Web Gateway. A remote user can include and execute arbitrary code on the target system. A remote user can conduct cross-site scripting attacks. A remote user can view/delete/upload files on the target system.

  8. Validating

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

    Validating extended MHD models for fusion plasmas K. J. McCollam (kmccollam@wisc.edu), D. J. Den Hartog, C. M. Jacobson, J. A. Reusch, J. S. Sarff, and the MST Team, University of Wisconsin-Madison, April 2015 Submitted to the DOE Workshop on Integrated Simulations for Magnetic Fusion Energy Sciences Primary topic: A (Disruptions); Secondary topic: C (Whole device modeling) Oral presentation requested if time available Motivation: That predictive capability is a major gap in fusion plasma

  9. T-602: BlackBerry Enterprise Server Input Validation Flaw in BlackBerry Web Desktop Manager Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    The BlackBerry Web Desktop Manager not properly filter HTML code from user-supplied input before displaying the input. A remote user can cause arbitrary scripting code to be executed by the target user's browser. The code will originate from the site running the BlackBerry Web Desktop Manager software and will run in the security context of that site. As a result, the code will be able to access the target user's cookies (including authentication cookies), if any, associated with the site, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  10. GATEWAY DEMONSTRATION MUSEUM REPORTS | Department of Energy

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

    DEMONSTRATION MUSEUM REPORTS GATEWAY DEMONSTRATION MUSEUM REPORTS It's hard to find a lighting application with aesthetic standards higher than those of museums, where success depends upon showing the artifacts and works of art in the best possible light - literally speaking. DOE has conducted several demonstrations of LED lighting in museums, providing valuable data and experience on product performance in this highly demanding environment. In addition, DOE conducted a survey regarding LED

  11. GATEWAY DEMONSTRATION UNIVERSITY PROJECTS | Department of Energy

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

    DEMONSTRATION UNIVERSITY PROJECTS GATEWAY DEMONSTRATION UNIVERSITY PROJECTS A college campus features a wide range of lighting applications under one administrative "rooftop" - classrooms, offices, theaters, labs, libraries, dining halls, dormitories, museums, chapels, walkways, parking lots, parking garages, lecture halls, arenas, and outdoor stadiums. Campuses are ideal testing grounds in which to study lighting in its many forms, and they provide unique opportunities for broad

  12. DOE Announces International Agreement on Global Science Online Gateway |

    Energy Savers [EERE]

    Department of Energy International Agreement on Global Science Online Gateway DOE Announces International Agreement on Global Science Online Gateway June 12, 2008 - 1:30pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced the establishment of a multilateral alliance to govern the rapidly growing online gateway to international scientific research information--WorldWideScience.org. Officials from organizations representing 38 countries formalized their commitment

  13. Frequently Asked Questions About the Technology Demonstration GATEWAY

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

    Program | Department of Energy Frequently Asked Questions About the Technology Demonstration GATEWAY Program Frequently Asked Questions About the Technology Demonstration GATEWAY Program This page addresses many of the questions about the DOE Solid-State Lighting Technology Demonstration GATEWAY program raised by potential eligible participants, such as manufacturers, demonstration host sites, utilities, and energy efficiency organizations. What is the DOE Solid-State Lighting (SSL)

  14. State, Local and Tribal Technical Assistance Gateway | Department of Energy

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

    State, Local and Tribal Technical Assistance Gateway State, Local and Tribal Technical Assistance Gateway The State, Local and Tribal Technical Assistance Gateway provides an access point to DOE's technical assistance and cooperative activities with state, local and tribal officials. Through its program and staff offices, DOE has engaged extensively with various levels of state, local and tribal governments, providing technical assistance on a range of energy issues. Our existing technical

  15. Gateway Ethanol LLC formerly Wildcat Bio Energy LLC | Open Energy...

    Open Energy Info (EERE)

    Ethanol LLC formerly Wildcat Bio Energy LLC Jump to: navigation, search Name: Gateway Ethanol LLC (formerly Wildcat Bio-Energy LLC) Place: Pratt, Kansas Zip: 67124 Product:...

  16. Gateway:Amrica Latina/Rendimiento, costos y ms informacin...

    Open Energy Info (EERE)

    Rendimiento, costos y ms informacin sobre las tecnologas limpias Jump to: navigation, search Retrieved from "http:en.openei.orgwindex.php?titleGateway:AmricaLatina...

  17. V-106: Citrix Access Gateway Unspecified Security Bypass Vulnerability

    Broader source: Energy.gov [DOE]

    A vulnerability has been reported in Citrix Access Gateway, which can be exploited by malicious people to bypass certain security restrictions.

  18. Open MSI : a Mass Spectrometry Imaging Science Gateway

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

    Gateway NERSC OSF Room 238 April 11, 2013 Ben Bowen Berkeley Lab Metabolite and protein analysis is vital to understanding the phenotype of a biological sample....

  19. Gateway:Incentives and Policies | Open Energy Information

    Open Energy Info (EERE)

    Gateway:Incentives) Jump to: navigation, search Incentives and Policies for Renewable Energy and Energy Efficiency Renewables & Energy Efficiency Incentives and Policies by State...

  20. REEGLE - Clean Energy Information Gateway | Open Energy Information

    Open Energy Info (EERE)

    Gateway (Redirected from Reegle Search Engine for Renewable Energy and Energy Efficiency) Jump to: navigation, search Tool Summary LAUNCH TOOL Name: reegle.info - clean...

  1. Gateway:Low Emission Development Strategies | Open Energy Information

    Open Energy Info (EERE)

    search Leds-Graphics 03.PNG Low Emission Development Strategies (LEDS) Gateway Hello why do you have 2 pficial LEDS pages? This website supports the creation and...

  2. Northeast Gateway Natural Gas Liquefied Natural Gas Imports from...

    Gasoline and Diesel Fuel Update (EIA)

    Release Date: 10302015 Next Release Date: 11302015 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Northeast Gateway LNG Imports from TrinidadTobago...

  3. Northeast Gateway Natural Gas Liquefied Natural Gas Imports ...

    Gasoline and Diesel Fuel Update (EIA)

    data. Release Date: 10302015 Next Release Date: 11302015 Referring Pages: U.S. Liquefied Natural Gas Imports by Point of Entry Northeast Gateway LNG Imports from All Countries...

  4. LEDs Go Ivy League: Princeton University and DOE GATEWAY Demonstrations |

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

    Department of Energy Princeton University and DOE GATEWAY Demonstrations LEDs Go Ivy League: Princeton University and DOE GATEWAY Demonstrations View the video about LED lighting at Princeton University, which has dramatically reduced energy costs in a number of installations around campus. William Evans, electrical engineer, describes the uses, benefits, and progress of LED lighting at Princeton

  5. LEDs Go Ivy League: Princeton University and DOE GATEWAY Demonstrations |

    Energy Savers [EERE]

    Department of Energy Princeton University and DOE GATEWAY Demonstrations LEDs Go Ivy League: Princeton University and DOE GATEWAY Demonstrations View the video about LED lighting at Princeton University, which has dramatically reduced energy costs in a number of installations around campus. William Evans, electrical engineer, describes the uses, benefits, and progress of LED lighting at Princeton

  6. Alaska Gateway School District Adopts Combined Heat and Power | Department

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

    of Energy Alaska Gateway School District Adopts Combined Heat and Power Alaska Gateway School District Adopts Combined Heat and Power May 7, 2013 - 12:00am Addthis In Tok, Alaska, the economic impact of high fuel prices was crippling the community's economy€, especially for the Alaska Gateway School District, with staff laid off and double duties assigned to many. To help offset high energy costs, the school district decided to replace its separated diesel heat and power systems with a

  7. DOE Publishes GATEWAY Report on Pedestrian Friendly Outdoor Lighting

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) has published a new GATEWAY report entitled Pedestrian Friendly Outdoor Lighting. Recognizing that pedestrian lighting has different criteria for success than...

  8. GATEWAY Demonstrations: Exploring SSL Product Performance in the Real World

    SciTech Connect (OSTI)

    2013-10-01

    Fact sheet that outlines DOE's GATEWAY technology demonstration program, which evaluates high-performance SSL products for general illumination in a variety of real-world exterior and interior applications.

  9. Price of Northeast Gateway Natural Gas LNG Imports from Trinidad...

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

    and Tobago (Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports from Trinidad and Tobago (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr...

  10. Price of Northeast Gateway Natural Gas LNG Imports (Dollars per...

    Gasoline and Diesel Fuel Update (EIA)

    (Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports (Dollars per Thousand Cubic Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2015...

  11. DOE Publishes GATEWAY Report on Portland's LED Streetlight Conversion...

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

    Portland's LED Streetlight Conversion DOE Publishes GATEWAY Report on Portland's LED Streetlight Conversion October 5, 2015 - 11:08am Addthis The U.S. Department of Energy has ...

  12. DOE Publishes GATEWAY Report on LED Lighting in a Performing...

    Energy Savers [EERE]

    LED Lighting in a Performing Arts Setting DOE Publishes GATEWAY Report on LED Lighting in a Performing Arts Setting August 6, 2014 - 2:46pm Addthis The U.S. Department of Energy ...

  13. Gateway:Amrica Latina/Energas Renovables | Open Energy Information

    Open Energy Info (EERE)

    HidraulicaLA.jpg Energa Hidrulica BiomasaLA.jpg Biomasa MarinaLA.jpg Energa Marina Pgina principal Retrieved from "http:en.openei.orgwindex.php?titleGateway:Amr...

  14. Refiner Crude Oil Inputs

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

    Percent Operable Utilization Net Inputs (Refiner and Blender) of Motor Gasoline Blending Comp Net Inputs (Refiner and Blender) of RBOB Blending Components Net Inputs (Refiner and ...

  15. High-performance parallel interface to synchronous optical network gateway

    DOE Patents [OSTI]

    St. John, Wallace B. (Los Alamos, NM); DuBois, David H. (Los Alamos, NM)

    1998-08-11

    A digital system provides sending and receiving gateways for HIPPI interfaces. Electronic logic circuitry formats data signals and overhead signals in a data frame that is suitable for transmission over a connecting fiber optic link. Multiplexers route the data and overhead signals to a framer module. The framer module allocates the data and overhead signals to a plurality of 9-byte words that are arranged in a selected protocol. The formatted words are stored in a storage register for output through the gateway.

  16. DOE Publishes GATEWAY Report on Exterior Lighting at Princeton University |

    Energy Savers [EERE]

    Department of Energy Exterior Lighting at Princeton University DOE Publishes GATEWAY Report on Exterior Lighting at Princeton University October 30, 2015 - 1:46pm Addthis The U.S. Department of Energy's GATEWAY program has released a report describing four exterior SSL projects that have been completed at Princeton University, which has long recognized SSL's potential benefits. These projects show how the school's approach to solid-state lighting has evolved as its knowledge has broadened

  17. DOE Publishes GATEWAY Report on Successful LED Wall Washer Retrofit |

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

    Department of Energy Successful LED Wall Washer Retrofit DOE Publishes GATEWAY Report on Successful LED Wall Washer Retrofit August 5, 2015 - 1:00pm Addthis The U.S. Department of Energy has released a report on a GATEWAY demonstration, in which maintenance and energy costs were significantly reduced while retaining the quality of light when LED modules replaced 87 halogen lamps in existing wall washers at the University of Maryland's (UMD) Clarice Smith Performing Arts Center. The project

  18. U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerabilit...

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

    0: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability U-020: McAfee Web Gateway Web Access Cross Site Scripting Vulnerability October 26, 2011 - 9:00am Addthis ...

  19. V-225: McAfee Email Gateway SMTP Processing Flaw Lets Remote...

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

    5: McAfee Email Gateway SMTP Processing Flaw Lets Remote Users Deny Service V-225: McAfee Email Gateway SMTP Processing Flaw Lets Remote Users Deny Service August 23, 2013 - 1:26am...

  20. OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big...

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

    OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 Contact: Linda Vu, +1...

  1. Gateway:Amrica Latina/Aprender ms sobre las ERNC/Seleccion...

    Open Energy Info (EERE)

    Trmica Retrieved from "http:en.openei.orgwindex.php?titleGateway:AmricaLatinaAprendermssobrelasERNCSelecciondeWebinarsPuestaenMarcha,OperacinyComercia...

  2. T-663: Cisco Content Services Gateway ICMP Processing Flaw Lets Remote Users Deny Service

    Broader source: Energy.gov [DOE]

    The Cisco Content Services Gateway: Second Generation provides intelligent network capabilities such as flexible policy management and billing based on deep-packet inspection, as well as subscriber and application awareness capabilities that enable mobile operators to quickly and easily offer value-added, differentiated services over their mobile data networks. A DoS vulnerability exists in the Cisco Content Services Gateway: Second Generation could allow an unauthenticated attacker to cause a device reload by sending crafted ICMP messages to the affected device. Note: The Cisco Gateway GPRS Support Node (GGSN), the Cisco Mobile Wireless Home Agent (HA), the Cisco Wireless Security Gateway (WSG), the Cisco Broadband Wireless Gateway and Cisco IP Transfer Point (ITP), and the Cisco Long Term Evolution (LTE) Gateway are not affected. This vulnerability is documented in Cisco bug ID CSCtl79577 ( registered customers only) and has been assigned CVE ID CVE-2011-2064.

  3. U-225: Citrix Access Gateway Plug-in for Windows nsepacom ActiveX Control Vulnerabilities

    Broader source: Energy.gov [DOE]

    Two vulnerabilities in Citrix Access Gateway Plug-in for Windows can be exploited by malicious people to compromise a user's system.

  4. New GATEWAY Report Monitors LED System Performance in a High-Temperature

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

    Environment | Department of Energy GATEWAY Report Monitors LED System Performance in a High-Temperature Environment New GATEWAY Report Monitors LED System Performance in a High-Temperature Environment May 11, 2015 - 4:31pm Addthis The U.S. Department of Energy has released a follow-up GATEWAY report on LED system performance at the Yuma (Arizona) Sector Border Patrol Area. Six LED luminaires - installed on three poles as part of a trial installation detailed in a prior GATEWAY report -

  5. Gateway:Amrica Latina/Aprender ms sobre las ERNC/Construccin...

    Open Energy Info (EERE)

    Gateway:Amrica LatinaAprender ms sobre las ERNCConstruccin y MontajeEolica Jump to: navigation, search Construction of the foundation Fuente: Vestas Idioma: Ingls How...

  6. Solid State Lighting: GATEWAY and CALiPER | Department of Energy

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

    Solid State Lighting: GATEWAY and CALiPER Solid State Lighting: GATEWAY and CALiPER Emerging Technologies Project for the 2013 Building Technologies Office's Program Peer Review PDF icon emrgtech08_ledbetter_040313.pdf More Documents & Publications FEMP Outdoor Solid-State Lighting Intiative: Resources for Outdoor SSL Applications Emerging Lighting Technology Guiding Market Introduction of High-Performance SSL Products

  7. Fact #672: April 25, 2011 Freight Gateways in the U.S. | Department of

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

    Energy 2: April 25, 2011 Freight Gateways in the U.S. Fact #672: April 25, 2011 Freight Gateways in the U.S. The top 25 places (in terms of freight value) that freight is shipped into and out of the U.S. are listed on the map below. Import values are shown by the gray bar, while export values are shown by the blue bar. Of the top 25 places, twelve are water ports, five are land-border crossings, and eight are air gateways. In most cases, the value of the imports exceeds the exports. Top 25

  8. International Clean Energy Analysis Gateway: Assisting Developing Countries with Clean Energy Deployment (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-01-01

    The International Clean Energy Analysis Gateway seeks to enhance developing country access to energy efficiency and renewable energy analysis tools, databases, methods, and other technical resources in a dynamic user interaction environment. In addition to providing information on available tools, the gateway also is a platform for Web seminars, online training, peer networks, and expert assistance. The gateway is sponsored by the U.S. Department of Energy (DOE) and the United Nations Industrial Development Organization (UNIDO) and managed by the National Renewable Energy Laboratory (NREL). Further cooperation is desired with organizations that can help expand the information presented in the portal and assist with outreach and training.

  9. EERE Success Story-Alaska Gateway School District Adopts Combined Heat

    Office of Environmental Management (EM)

    and Power | Department of Energy Alaska Gateway School District Adopts Combined Heat and Power EERE Success Story-Alaska Gateway School District Adopts Combined Heat and Power May 7, 2013 - 12:00am Addthis In Tok, Alaska, the economic impact of high fuel prices was crippling the community's economy€, especially for the Alaska Gateway School District, with staff laid off and double duties assigned to many. To help offset high energy costs, the school district decided to replace its

  10. DOE Publishes GATEWAY Report on LED Lighting in a Performing Arts Setting

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy has released a report on a GATEWAY demonstration of LED lighting at the University of Florida's Nadine McGuire Theatre and Dance Pavilion in Gainesville. Four interior...

  11. DOE Publishes GATEWAY Report on High-Luminous-Flux LED Lighting...

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

    High-Luminous-Flux LED Lighting in a High-Temperature Environment DOE Publishes GATEWAY Report on High-Luminous-Flux LED Lighting in a High-Temperature Environment December 17, ...

  12. OpenEI launches new Water Power Gateway and Community Forum ...

    Open Energy Info (EERE)

    OpenEI launches new Water Power Gateway and Community Forum Home > Groups > Water Power Forum Graham7781's picture Submitted by Graham7781(2017) Super contributor 28 March, 2013 -...

  13. DOE Publishes GATEWAY Report on High-Mast Lighting at Philadelphia International Airport

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's GATEWAY program has released a report on a trial installation of LED apron lighting at Philadelphia International Airport (PHL). In addition to reducing energy, PHL...

  14. DOE Publishes GATEWAY Report on Portland’s LED Streetlight Conversion

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy has released a GATEWAY report on the experiences of the City of Portland, OR, in converting its street lighting from high-pressure sodium to LED. Such largescale...

  15. Microsoft Word - DOE Announces International Agreement on Global Science Online Gateway

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

    FOR IMMEDIATE RELEASE Jeff Sherwood, (202) 586-5806 Thursday June 12, 2008 Cathey Daniels, (865) 576-9539 DOE Announces International Agreement on Global Science Online Gateway WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced the establishment of a multilateral alliance to govern the rapidly growing online gateway to international scientific research information--WorldWideScience.org. Officials from organizations representing 38 countries formalized their commitment today in

  16. TIS (Technology Information System): The Intelligent Gateway Processor (IGP)

    SciTech Connect (OSTI)

    Hampel, V.E.; Barker, R.; Berch, M.; Kawin, R.; Lann, N.; McGrogan, S.; Sharpe, N.; Winiger, G.

    1984-10-01

    The Technology Information System (TIS) is an Intelligent Gateway Processor (IGP) capable of interconnecting heterogeneous information resources at geographically distributed locations in an automated, unified, and controlled manner. It augments the capabilities of personal computers and workstations of scientists and engineers by providing a shared directory to worldwide bibliographic and numeric resources and a library of self-guided procedures by which test, data, and graphs can be downloaded, reformatted, aggregated, analyzed, and shared among users and different host machines. The TIS link capability is used routinely for transcontinental tutorials and as a proactical means for the audiovisual linking of TIS users with experts at their respective locations. The IGP universal user interface permits changes and additions of available resources while running non-stop. The TIS/IGP at th Lawrence Livermore National Laboratory (LLNL) serves as the host system for several different communities of users who develop integrated information systems for personal and shared programmatic resources. The TIS local area network utilizes a 10 Mbps Ethernet which serves as a testbed for high-technology hardware and software.

  17. T-546: Microsoft MHTML Input Validation Hole May Permit Cross...

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

    in the response of a Web request run in the context of the victim's Internet Explorer. ... Microsoft is aware of published information and proof-of-concept code that attempts to ...

  18. Spatial Statistical Procedures to Validate Input Data in Energy Models

    SciTech Connect (OSTI)

    Johannesson, G.; Stewart, J.; Barr, C.; Brady Sabeff, L.; George, R.; Heimiller, D.; Milbrandt, A.

    2006-01-01

    Energy modeling and analysis often relies on data collected for other purposes such as census counts, atmospheric and air quality observations, economic trends, and other primarily non-energy related uses. Systematic collection of empirical data solely for regional, national, and global energy modeling has not been established as in the abovementioned fields. Empirical and modeled data relevant to energy modeling is reported and available at various spatial and temporal scales that might or might not be those needed and used by the energy modeling community. The incorrect representation of spatial and temporal components of these data sets can result in energy models producing misleading conclusions, especially in cases of newly evolving technologies with spatial and temporal operating characteristics different from the dominant fossil and nuclear technologies that powered the energy economy over the last two hundred years. Increased private and government research and development and public interest in alternative technologies that have a benign effect on the climate and the environment have spurred interest in wind, solar, hydrogen, and other alternative energy sources and energy carriers. Many of these technologies require much finer spatial and temporal detail to determine optimal engineering designs, resource availability, and market potential. This paper presents exploratory and modeling techniques in spatial statistics that can improve the usefulness of empirical and modeled data sets that do not initially meet the spatial and/or temporal requirements of energy models. In particular, we focus on (1) aggregation and disaggregation of spatial data, (2) predicting missing data, and (3) merging spatial data sets. In addition, we introduce relevant statistical software models commonly used in the field for various sizes and types of data sets.

  19. OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets

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

    OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets OpenMSI: A Science Gateway to Sort Through Bio-Imaging's Big Datasets August 27, 2013 Contact: Linda Vu, +1 510 495 2402, lvu@lbl.gov OpenMSINERSC.jpg This overlay of mass spectrometry images shows the spatial distribution of three different kind of lipids across a whole mouse cross-section. Lipids act as the structural components of cell membranes and are responsible for energy storage, among other things. Image credit:

  20. Northeast Gateway Natural Gas LNG Imports (Price) From Qatar (Dollars per

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

    Thousand Cubic Feet) Northeast Gateway Natural Gas LNG Imports (Price) From Qatar (Dollars per Thousand Cubic Feet) Northeast Gateway Natural Gas LNG Imports (Price) From Qatar (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- -- 2010's 6.38 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  1. DOE Publishes 20K Hour Testing Results for 2008 GATEWAY Bridge Installation

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

    | Department of Energy 20K Hour Testing Results for 2008 GATEWAY Bridge Installation DOE Publishes 20K Hour Testing Results for 2008 GATEWAY Bridge Installation October 9, 2014 - 12:00pm Addthis The U.S. Department of Energy has released a report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country's oldest continuously operated exterior LED lighting installations. The report is a

  2. DOE Publishes GATEWAY Report on High-Luminous-Flux LED Lighting in a

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

    High-Temperature Environment | Department of Energy High-Luminous-Flux LED Lighting in a High-Temperature Environment DOE Publishes GATEWAY Report on High-Luminous-Flux LED Lighting in a High-Temperature Environment December 17, 2014 - 1:19pm Addthis The U.S. Department of Energy has released a GATEWAY report on a trial demonstration in which the incumbent quartz metal halide (QMH) area lighting was replaced with LED at three pole locations along a 7.2-mile stretch of the Yuma (Arizona)

  3. GATEWAY Demonstrations: Trial Demonstration of Area Lighting Retrofit, Yuma Border Patrol, Yuma, Arizona

    SciTech Connect (OSTI)

    Wilkerson, A. M.; McCullough, J. J.

    2014-12-31

    Along the Yuma Sector Border Patrol Area in Yuma, Arizona, the GATEWAY program conducted a trial demonstration in which the incumbent quartz metal halide area lighting was replaced with LED at three pole locations at the Yuma Sector Border Patrol Area in Yuma, Arizona. The retrofit was documented to better understand LED technology performance in high-temperature environments.

  4. GATEWAY Demonstrations: LED System Performance in a Trial Installation--One Year Later, Yuma Border Patrol, Yuma, Arizona

    SciTech Connect (OSTI)

    Wilkerson, A. M.; Davis, R. G.

    2015-04-01

    Along the Yuma Sector Border Patrol Area in Yuma, Arizona, the GATEWAY program conducted a trial demonstration in which the incumbent quartz metal halide area lighting was replaced with LED at three pole locations at the Yuma Sector Border Patrol Area in Yuma, Arizona. The retrofit was documented to better understand LED technology performance in high-temperature environments. This report follows the GATEWAY Yuma Phase 1.0 Report and reflects LED system results documented one year after the demonstration began.

  5. Baker-Barry Tunnel Lighting: Evaluation of a Potential GATEWAY Demonstrations Project

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-06-01

    The U.S. Department of Energy (DOE) is evaluating the Baker-Barry Tunnel as a potential GATEWAY Demonstrations project for deployment of solid-state lighting (SSL) technology. The National Park Service (NPS) views this project as a possible proving ground and template for implementation of light-emitting diode (LED) luminaires in other NPS tunnels, thereby expanding the estimated 40% energy savings from 132 MWh/yr for this tunnel to a much larger figure national

  6. Generation Inputs Workshop June 25, 2014

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

    Inputs Workshop 25 June 2014 BPA's Centralized Wind Power Forecasting Initiative Scott Winner June 25, 2014 Generation Inputs Workshop Predecisional. For Discussion Purposes Only....

  7. Total Blender Net Input of Petroleum Products

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

    Input Product: Total Input Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquid Petroleum Gases Normal Butane Isobutane Other Liquids OxygenatesRenewables ...

  8. 20K Hour GATEWAY Testing Results for I-35W Bridge Webinar

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country’s oldest continuously operated exterior LED lighting installations. Prior to installation, two of the LED luminaires were tested, along with a third luminaire that was not installed on the bridge but was tested for 6,000 hours in a laboratory for comparison purposes.

  9. Price of Gulf Gateway Natural Gas LNG Imports from Qatar (Dollars per

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

    Thousand Cubic Feet) Qatar (Dollars per Thousand Cubic Feet) Price of Gulf Gateway Natural Gas LNG Imports from Qatar (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- 9.47 -- -- 2010's -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: U.S. Price of Liquefied Natural Gas

  10. Price of Gulf Gateway Natural Gas LNG Imports from Trinidad and Tobago

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

    (Dollars per Thousand Cubic Feet) Trinidad and Tobago (Dollars per Thousand Cubic Feet) Price of Gulf Gateway Natural Gas LNG Imports from Trinidad and Tobago (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- 7.31 7.30 -- -- 2010's -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring

  11. Price of Northeast Gateway Natural Gas LNG Imports (Dollars per Thousand

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

    Cubic Feet) (Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- 12.54 6.71 2010's 5.41 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: U.S. Price of Liquefied Natural Gas Imports by

  12. Price of Northeast Gateway Natural Gas LNG Imports from Egypt (Nominal

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

    Dollars per Thousand Cubic Feet) Egypt (Nominal Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports from Egypt (Nominal Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- -- 6.71 2010's 5.11 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring

  13. Price of Northeast Gateway Natural Gas LNG Imports from Trinidad and Tobago

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

    (Dollars per Thousand Cubic Feet) Trinidad and Tobago (Dollars per Thousand Cubic Feet) Price of Northeast Gateway Natural Gas LNG Imports from Trinidad and Tobago (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's -- 12.54 -- 2010's 4.45 -- -- -- -- - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016

  14. Webinar: 20K Hour GATEWAY Testing Results for I-35W Bridge | Department of

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

    Energy The U.S. Department of Energy has released a GATEWAY Demonstration report on the longer-term performance of an LED lighting system that was installed on the I-35W Bridge in Minneapolis in September 2008 and represents one of the country's oldest continuously operated exterior LED lighting installations. Prior to installation, two of the LED luminaires were tested, along with a third luminaire that was not installed on the bridge but was tested for 6,000 hours in a laboratory for

  15. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01

    Verification and validation (V&V) are the primary means to assess the accuracy and reliability of computational simulations. V&V methods and procedures have fundamentally improved the credibility of simulations in several high-consequence fields, such as nuclear reactor safety, underground nuclear waste storage, and nuclear weapon safety. Although the terminology is not uniform across engineering disciplines, code verification deals with assessing the reliability of the software coding, and solution verification deals with assessing the numerical accuracy of the solution to a computational model. Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and validation benchmarks have been constructed for a number of years in every field of computational simulation. However, no comprehensive guidelines have been proposed for the construction and use of V&V benchmarks. For example, the field of nuclear reactor safety has not focused on code verification benchmarks, but it has placed great emphasis on developing validation benchmarks. Many of these validation benchmarks are closely related to the operations of actual reactors at near-safety-critical conditions, as opposed to being more fundamental-physics benchmarks. This paper presents recommendations for the effective design and use of code verification benchmarks based on manufactured solutions, classical analytical solutions, and highly accurate numerical solutions. In addition, this paper presents recommendations for the design and use of validation benchmarks, highlighting the careful design of building-block experiments, the estimation of experimental measurement uncertainty for both inputs and outputs to the code, validation metrics, and the role of model calibration in validation. It is argued that the understanding of predictive capability of a computational model is built on the level of achievement in V&V activities, how closely related the V&V benchmarks are to the actual application of interest, and the quantification of uncertainties related to the application of interest.

  16. ,"U.S. Blender Net Input"

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

    PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS1","ME..."MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum Products ...

  17. Recommendation 177: Facilitating Early Public Input

    Broader source: Energy.gov [DOE]

    DOE should initiate consultation meetings with stake holders immediately to allow early public input into the planning for IFDP

  18. Input apparatus for dynamic signature verification systems

    DOE Patents [OSTI]

    EerNisse, Errol P.; Land, Cecil E.; Snelling, Jay B.

    1978-01-01

    The disclosure relates to signature verification input apparatus comprising a writing instrument and platen containing piezoelectric transducers which generate signals in response to writing pressures.

  19. ,"Maine Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Maine Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  20. ,"Hawaii Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Hawaii Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  1. ,"Washington Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Washington Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","09...

  2. ,"Texas Natural Gas Input Supplemental Fuels (MMcf)"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  3. ,"U.S. Blender Net Input"

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

    7:11:07 PM" "Back to Contents","Data 1: U.S. Blender Net Input" "Sourcekey","MTXRBNUS1...US1","MO7RBNUS1","MO9RBNUS1" "Date","U.S. Blender Net Input of Total Petroleum ...

  4. US Nuclear Regulatory Commission Input to DOE Request for Information...

    Energy Savers [EERE]

    Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the...

  5. Photovoltaic Performance and Reliability Database: A Gateway to Experimental Data Monitoring Projects for PV at the Florida Solar Energy Center

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

    This site is the gateway to experimental data monitoring projects for photovoltaic (PV) at the Florida Solar Energy Center. The website and the database were designed to facilitate and standardize the processes for archiving, analyzing and accessing data collected from dozens of operational PV systems and test facilities monitored by FSEC's Photovoltaics and Distributed Generation Division. [copied from http://www.fsec.ucf.edu/en/research/photovoltaics/data_monitoring/index.htm

  6. SANSMIC Validation.

    SciTech Connect (OSTI)

    Weber, Paula D.; Rudeen, David Keith; Lord, David

    2014-08-01

    SANSMIC is solution mining software that was developed and utilized by SNL in its role as geotechnical advisor to the US DOE SPR for planning purposes. Three SANSMIC leach modes - withdrawal, direct, and reverse leach - have been revalidated with multiple test cases for each mode. The withdrawal mode was validated using high quality data from recent leach activity while the direct and reverse modes utilized data from historical cavern completion reports. Withdrawal results compared very well with observed data, including the location and size of shelves due to string breaks with relative leached volume differences ranging from 6 - 10% and relative radius differences from 1.5 - 3%. Profile comparisons for the direct mode were very good with relative leached volume differences ranging from 6 - 12% and relative radius differences from 5 - 7%. First, second, and third reverse configurations were simulated in order to validate SANSMIC over a range of relative hanging string and OBI locations. The first-reverse was simulated reasonably well with relative leached volume differences ranging from 1 - 9% and relative radius differences from 5 - 12%. The second-reverse mode showed the largest discrepancies in leach profile. Leached volume differences ranged from 8 - 12% and relative radius differences from 1 - 10%. In the third-reverse, relative leached volume differences ranged from 10 - 13% and relative radius differences were ~4 %. Comparisons to historical reports were quite good, indicating that SANSMIC is essentially the same as documented and validated in the early 1980's.

  7. Summary of Input to DOE Request for Information DE-FOA-0000225 | Department

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

    of Energy FOA-0000225 Summary of Input to DOE Request for Information DE-FOA-0000225 Presentation on Sumary of Input to DOE Request for Information DE-FOA-0000225 - U.S. DOE Fuel Cells Technology Program PDF icon fuelcell_pre-solicitation_wkshop_mar10_kleen.pdf More Documents & Publications Long Term Innovative Technologies Summary of Input to DOE Request for Information DE-PS36-08GO38002 (Presentation) Balance of Plant (BoP) Components Validation for Fuel Cells

  8. Wireless, relative-motion computer input device

    DOE Patents [OSTI]

    Holzrichter, John F.; Rosenbury, Erwin T.

    2004-05-18

    The present invention provides a system for controlling a computer display in a workspace using an input unit/output unit. A train of EM waves are sent out to flood the workspace. EM waves are reflected from the input unit/output unit. A relative distance moved information signal is created using the EM waves that are reflected from the input unit/output unit. Algorithms are used to convert the relative distance moved information signal to a display signal. The computer display is controlled in response to the display signal.

  9. Opportunities for Public Input Into DOE Projects

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

    Opportunities for Public Input Into DOE Projects There are currently several DOE-proposed activities that citizens can comment on in the near future. Here is a summary of each, as well as a description of how to provide your input into the project: Hanford Draft Closure and Waste Management Environmental Impact Statement Idahoans might be interested in this document because one of the proposed actions involves sending a small amount of radioactive waste (approximately 5 cubic meters of special

  10. Baker-Barry Tunnel Lighting: Evaluation of a Potential GATEWAY Demonstrations Project

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-06-28

    The U.S. Department of Energy is evaluating the Baker-Barry Tunnel as a potential GATEWAY Demonstrations project for deployment of solid-state lighting (SSL) technology. The National Park Service views this project as a possible proving ground and template for implementation of light-emitting diode (LED) luminaires in other tunnels, thereby expanding the estimated 40% energy savings from 132 MWh/yr to a much larger figure nationally. Most of the energy savings in this application is attributable to the instant-restrike capability of LED products and to their high tolerance for frequent on/off switching, used here to separately control either end of the tunnel during daytime hours. Some LED luminaires rival or outperform their high-intensity discharge (HID) counterparts in terms of efficacy, but options are limited, and smaller lumen packages preclude true one-for-one equivalence. However, LED products continue to improve in efficacy and affordability at a rate unmatched by other light source technologies; the estimated simple payback period of eight years (excluding installation costs and maintenance savings) can be expected to improve with time. The proposed revisions to the existing high-pressure sodium (HPS) lighting system would require slightly increased controls complexity and significantly increased luminaire types and quantities. In exchange, substantial annual savings (from reduced maintenance and energy use) would be complemented by improved quantity and quality of illumination. Although advanced lighting controls could offer additional savings, it is unclear whether such a system would prove cost-effective; this topic may be explored in future work.

  11. SU-D-BRD-03: A Gateway for GPU Computing in Cancer Radiotherapy Research

    SciTech Connect (OSTI)

    Jia, X; Folkerts, M; Shi, F; Yan, H; Yan, Y; Jiang, S; Sivagnanam, S; Majumdar, A

    2014-06-01

    Purpose: Graphics Processing Unit (GPU) has become increasingly important in radiotherapy. However, it is still difficult for general clinical researchers to access GPU codes developed by other researchers, and for developers to objectively benchmark their codes. Moreover, it is quite often to see repeated efforts spent on developing low-quality GPU codes. The goal of this project is to establish an infrastructure for testing GPU codes, cross comparing them, and facilitating code distributions in radiotherapy community. Methods: We developed a system called Gateway for GPU Computing in Cancer Radiotherapy Research (GCR2). A number of GPU codes developed by our group and other developers can be accessed via a web interface. To use the services, researchers first upload their test data or use the standard data provided by our system. Then they can select the GPU device on which the code will be executed. Our system offers all mainstream GPU hardware for code benchmarking purpose. After the code running is complete, the system automatically summarizes and displays the computing results. We also released a SDK to allow the developers to build their own algorithm implementation and submit their binary codes to the system. The submitted code is then systematically benchmarked using a variety of GPU hardware and representative data provided by our system. The developers can also compare their codes with others and generate benchmarking reports. Results: It is found that the developed system is fully functioning. Through a user-friendly web interface, researchers are able to test various GPU codes. Developers also benefit from this platform by comprehensively benchmarking their codes on various GPU platforms and representative clinical data sets. Conclusion: We have developed an open platform allowing the clinical researchers and developers to access the GPUs and GPU codes. This development will facilitate the utilization of GPU in radiation therapy field.

  12. U.S. Blender Net Input

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

    2010 2011 2012 2013 2014 2015 View History Total Input 2,166,784 2,331,109 2,399,318 2,539,812 2,824,480 2,987,634 2005-2015 Natural Gas Plant Liquids and Liquefied Refinery Gases ...

  13. U.S. Blender Net Input

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

    Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History Total Input 262,502 262,483 248,620 258,292 242,060 252,467 2005-2015 Natural Gas Plant Liquids and Liquefied Refinery Gases ...

  14. XBox Input -Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2012-10-03

    Contains class for connecting to the Xbox 360 controller, displaying the user inputs {buttons, triggers, analog sticks), and controlling the rumble motors. Also contains classes for converting the raw Xbox 360 controller inputs into meaningful commands for the following objects: • Robot arms - Provides joint control and several tool control schemes • UGV's - Provides translational and rotational commands for "skid-steer" vehicles • Pan-tilt units - Provides several modes of control including velocity, position,more » and point-tracking • Head-mounted displays (HMO)- Controls the viewpoint of a HMO • Umbra frames - Controls the position andorientation of an Umbra posrot object • Umbra graphics window - Provides several modes of control for the Umbra OSG window viewpoint including free-fly, cursor-focused, and object following.« less

  15. Tribal Leaders Provide White House with Input on Bolstering Climate...

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

    Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 - 10:29am ...

  16. Addressing Uncertainties in Design Inputs: A Case Study of Probabilist...

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Addressing Uncertainties in Design Inputs: A Case...

  17. DOE Seeks Input On Addressing Contractor Pension and Medical...

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

    Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm...

  18. decreasing water input and waste generation

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

    decreasing water input and waste generation - 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 Fuel Cycle Defense Waste

  19. The Need for Validation from Concept to a Terrawatt

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

    Validation from Concept to a Terrawatt NREL Workshop August 31, 2011 Technology Innovation & Quality Improvement Money drives the process the quality control chain *Quality Control *Quality Assurance Manufacturing *Vibration *Temperature Shipping *Inverter/Module sizing *Code Engineering *Knowledgeable *Follow Designs Installation *Verify installed *Ensuring Quality Installation Commissioning *Yield *Degradation *O&M Budgets Operations System/Module Validation - Inputs * Degradation -

  20. Prioritization Tool Measurement Input Form | Department of Energy

    Energy Savers [EERE]

    Prioritization Tool Measurement Input Form Prioritization Tool Measurement Input Form BTO encourages stakeholders to recommend updates and improvements to the Prioritization Tool by using the below Measure Input Form. Download File Prioritization Tool Measurement Input Form More Documents & Publications Energy Savings Potential and RD&D Opportunities for Commercial Refrigration Austin Energy Data Dashboard Massachusetts -- SEP Data Dashboard

  1. U-238: HP Service Manager Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Cross-site scripting (XSS) vulnerability in HP Service Manager Web Tier 7.11, 9.21, and 9.30, and HP Service Center Web Tier 6.28, allows remote attackers to inject arbitrary web script or HTML via unspecified vectors.

  2. T-590: HP Diagnostics Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A potential security vulnerability has been identified in HP Diagnostics. The vulnerability could be exploited remotely resulting in cross site scripting (XSS).

  3. U-204: HP Network Node Manager i Input Validation Hole Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager I (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  4. U-229: HP Network Node Manager i Input Validation Flaw Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    Potential security vulnerabilities have been identified with HP Network Node Manager i (NNMi) for HP-UX, Linux, Solaris, and Windows. The vulnerabilities could be remotely exploited resulting in cross site scripting (XSS).

  5. T-722: IBM WebSphere Commerce Edition Input Validation Holes...

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

    with unspecified impact CVE-2010-2276. The vulnerabilities reside in the included 'Dojo' component. Impact: A remote user can access the target user's cookies (including ...

  6. U-015: CiscoWorks Common Services Home Page Input Validation...

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

    commands on the target system. A remote user can submit a specially crafted URL via TCP port 443 or 1741 to execute arbitrary commands on the target system. The commands will...

  7. PADD 3 Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    8,010 8,256 8,111 8,266 8,214 8,498 1992-2016 Gross Inputs 7,992 8,287 8,142 8,332 8,356 8,547 1990-2016 Operable Capacity (Calendar Day) 9,437 9,437 9,437 9,437 9,437 9,437 2010-2016 Percent Operable Utilization 84.7 87.8 86.3 88.3 88.6 90.6 2010-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components -1,974 -2,183 -2,099 -2,078 -1,837 -2,068 2004-2016 RBOB -73 -333 -278 -178 -192 -218 2010-2016 CBOB -1,786 -1,821 -1,763 -1,824 -1,574 -1,711 2004-2016 GTAB 0 0 0 0 0 0 2004-2016

  8. Multiple-Input Multiple-Output (MIMO) Linear Systems Extreme Inputs/Outputs

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Smallwood, David O.

    2007-01-01

    A linear structure is excited at multiple points with a stationary normal random process. The response of the structure is measured at multiple outputs. If the autospectral densities of the inputs are specified, the phase relationships between the inputs are derived that will minimize or maximize the trace of the autospectral density matrix of the outputs. If the autospectral densities of the outputs are specified, the phase relationships between the outputs that will minimize or maximize the trace of the input autospectral density matrix are derived. It is shown that other phase relationships and ordinary coherence less than one willmore » result in a trace intermediate between these extremes. Least favorable response and some classes of critical response are special cases of the development. It is shown that the derivation for stationary random waveforms can also be applied to nonstationary random, transients, and deterministic waveforms.« less

  9. Validation and Uncertainty Characterization for Energy Simulation

    Energy Savers [EERE]

    Validation and Uncertainty Characterization for Energy Simulation (#1530) Philip Haves (LBNL) Co-PI's: Ron Judkoff (NREL), Joshua New (ORNL), Ralph Muehleisen (ANL) BTO Merit Review - April 16/17, 2015 Model Discrepancy Experiment Simulation Problem Statement 2 Sources of differences:  Uncertainty:  model algorithms  input parameters  modeler decisions  Variability:  weather  occupancy  operation Source: Energy performance of LEED-NC buildings, NBI, 2008 as-built vs.

  10. Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Texas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8...

  11. Connecticut Natural Gas Input Supplemental Fuels (Million Cubic...

    Gasoline and Diesel Fuel Update (EIA)

    Input Supplemental Fuels (Million Cubic Feet) Connecticut Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  12. North Carolina Natural Gas Input Supplemental Fuels (Million...

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

    Input Supplemental Fuels (Million Cubic Feet) North Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6...

  13. New York Natural Gas Input Supplemental Fuels (Million Cubic...

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

    Input Supplemental Fuels (Million Cubic Feet) New York Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7...

  14. Refinery Input by PADD - Petroleum Supply Annual (2004)

    SciTech Connect (OSTI)

    2009-01-18

    Table showing refinery input of crude oil and petroleum products by Petroleum Administration for Defense Districts (PADD).

  15. Input File Creation for the Molecular Dynamics Program LAMMPS.

    Energy Science and Technology Software Center (OSTI)

    2001-05-30

    The program creates an input data file for the molecular dynamics program LAMMPS. The input file created is a liquid mixture between two walls explicitly composed of particles. The liquid molecules are modeled as a bead-spring molecule. The input data file specifies the position and topology of the starting state. The data structure of input allows for dynamic bond creation (cross-linking) within the LAMMPS code.

  16. Analysis of Stochastic Response of Neural Networks with Stochastic Input

    Energy Science and Technology Software Center (OSTI)

    1996-10-10

    Software permits the user to extend capability of his/her neural network to include probablistic characteristics of input parameter. User inputs topology and weights associated with neural network along with distributional characteristics of input parameters. Network response is provided via a cumulative density function of network response variable.

  17. Input visualization for the Cyclus nuclear fuel cycle simulator: CYClus Input Control

    SciTech Connect (OSTI)

    Flanagan, R.; Schneider, E.

    2013-07-01

    This paper discusses and demonstrates the methods used for the graphical user interface for the Cyclus fuel cycle simulator being developed at the University of Wisconsin-Madison. Cyclus Input Control (CYCIC) is currently being designed with nuclear engineers in mind, but future updates to the program will be made to allow even non-technical users to quickly and efficiently simulate fuel cycles to answer the questions important to them. (authors)

  18. High-frequency matrix converter with square wave input

    DOE Patents [OSTI]

    Carr, Joseph Alexander; Balda, Juan Carlos

    2015-03-31

    A device for producing an alternating current output voltage from a high-frequency, square-wave input voltage comprising, high-frequency, square-wave input a matrix converter and a control system. The matrix converter comprises a plurality of electrical switches. The high-frequency input and the matrix converter are electrically connected to each other. The control system is connected to each switch of the matrix converter. The control system is electrically connected to the input of the matrix converter. The control system is configured to operate each electrical switch of the matrix converter converting a high-frequency, square-wave input voltage across the first input port of the matrix converter and the second input port of the matrix converter to an alternating current output voltage at the output of the matrix converter.

  19. NIDR (New Input Deck Reader) V2.0 2

    Energy Science and Technology Software Center (OSTI)

    2010-03-31

    NIDR (New Input Deck Reader) is a facility for processing block-structured input to large programs. NIDR was written to simplify maintenance of DAKOTA (a program for uncertainty quantification and optimization), to provide better error checking of input and to allow use of aliases in the input. While written to support DAKOTA input conventions, NIDR itself is independent of DAKOTA and can be used in many kinds of programs. The initial version of NIDR was copyrightedmore » in 2008. We have since extended NIDR to support a graphical user interface called Jaguar for DAKOTA. In the Review and Approval process for an updated paper on NIDR, the Classification Approver states that a new copyright assertion should be performed.processing input to programs. NIDR is not primarily for military applications.« less

  20. Generates 2D Input for DYNA NIKE & TOPAZ

    Energy Science and Technology Software Center (OSTI)

    1996-07-15

    MAZE is an interactive program that serves as an input and two-dimensional mesh generator for DYNA2D, NIKE2D, TOPAZ2D, and CHEMICAL TOPAZ2D. MAZE also generates a basic template for ISLAND input. MAZE has been applied to the generation of input data to study the response of two-dimensional solids and structures undergoing finite deformations under a wide variety of large deformation transient dynamic and static problems and heat transfer analyses.

  1. DOE Seeks Industry Input on Nickel Disposition Strategy | Department of

    Office of Environmental Management (EM)

    Energy Industry Input on Nickel Disposition Strategy DOE Seeks Industry Input on Nickel Disposition Strategy March 23, 2012 - 12:00pm Addthis WASHINGTON, D.C. - The Energy Department's prime contractor, Fluor-B&W Portsmouth (FBP), managing the Portsmouth Gaseous Diffusion Plant (GDP), issued a request for Expressions of Interest (EOI) seeking industry input to support the development of an acquisition strategy for potential disposition of DOE nickel. The EOI requests technical,

  2. ,"New Mexico Natural Gas Input Supplemental Fuels (MMcf)"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Input Supplemental Fuels (MMcf)",1,"Annual",2014 ,"Release Date:","0930...

  3. Abandoned Uranium Mines Report to Congress: LM Wants Your Input

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) Office of Legacy Management (LM) is seeking stakeholder input on an abandoned uranium mines report to Congress.

  4. ISPyB for BioSAXS, the gateway to user autonomy in solution scattering experiments

    SciTech Connect (OSTI)

    De Maria Antolinos, Alejandro; Pernot, Petra; Brennich, Martha E.; Kieffer, Jrme [European Synchrotron Radiation Facility, 71 avenue des Martyrs, CS 40220, 38042 Grenoble (France); Bowler, Matthew W. [European Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042 Grenoble (France); Universit Grenoble AlpesEMBLCNRS, 71 avenue des Martyrs, CS 90181, 38042 Grenoble (France); Delageniere, Solange; Ohlsson, Staffan; Malbet Monaco, Stephanie [European Synchrotron Radiation Facility, 71 avenue des Martyrs, CS 40220, 38042 Grenoble (France); Ashton, Alun [DLS, Diamond House, Harwell Science and Innovation Campus, Fermi Avenue, Didcot OX11 0QX (United Kingdom); Franke, Daniel; Svergun, Dmitri [European Molecular Biology Laboratory, Hamburg Outstation, c/o DESY, Building 25A, Notkestrasse 85, 22603 Hamburg (Germany); McSweeney, Sean; Gordon, Elspeth [European Synchrotron Radiation Facility, 71 avenue des Martyrs, CS 40220, 38042 Grenoble (France); Round, Adam, E-mail: around@embl.fr [European Molecular Biology Laboratory, Grenoble Outstation, 71 avenue des Martyrs, CS 90181, 38042 Grenoble (France); Universit Grenoble AlpesEMBLCNRS, 71 avenue des Martyrs, CS 90181, 38042 Grenoble (France); European Synchrotron Radiation Facility, 71 avenue des Martyrs, CS 40220, 38042 Grenoble (France)

    2015-01-01

    The ISPyB information-management system for crystallography has been adapted to include data from small-angle X-ray scattering of macromolecules in solution experiments. Logging experiments with the laboratory-information management system ISPyB (Information System for Protein crystallography Beamlines) enhances the automation of small-angle X-ray scattering of biological macromolecules in solution (BioSAXS) experiments. The ISPyB interface provides immediate user-oriented online feedback and enables data cross-checking and downstream analysis. To optimize data quality and completeness, ISPyBB (ISPyB for BioSAXS) makes it simple for users to compare the results from new measurements with previous acquisitions from the same day or earlier experiments in order to maximize the ability to collect all data required in a single synchrotron visit. The graphical user interface (GUI) of ISPyBB has been designed to guide users in the preparation of an experiment. The input of sample information and the ability to outline the experimental aims in advance provides feedback on the number of measurements required, calculation of expected sample volumes and time needed to collect the data: all of this information aids the users to better prepare for their trip to the synchrotron. A prototype version of the ISPyBB database is now available at the European Synchrotron Radiation Facility (ESRF) beamline BM29 and is already greatly appreciated by academic users and industrial clients. It will soon be available at the PETRA III beamline P12 and the Diamond Light Source beamlines I22 and B21.

  5. 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....

  6. Control Board Digital Interface Input Devices Touchscreen, Trackpad, or Mouse?

    SciTech Connect (OSTI)

    Thomas A. Ulrich; Ronald L. Boring; Roger Lew

    2015-08-01

    The authors collaborated with a power utility to evaluate input devices for use in the human system interface (HSI) for a new digital Turbine Control System (TCS) at a nuclear power plant (NPP) undergoing a TCS upgrade. A standalone dynamic software simulation of the new digital TCS and a mobile kiosk were developed to conduct an input device study to evaluate operator preference and input device effectiveness. The TCS software presented the anticipated HSI for the TCS and mimicked (i.e., simulated) the turbine systems responses to operator commands. Twenty-four licensed operators from the two nuclear power units participated in the study. Three input devices were tested: a trackpad, mouse, and touchscreen. The subjective feedback from the survey indicates the operators preferred the touchscreen interface. The operators subjectively rated the touchscreen as the fastest and most comfortable input device given the range of tasks they performed during the study, but also noted a lack of accuracy for selecting small targets. The empirical data suggest the mouse input device provides the most consistent performance for screen navigation and manipulating on screen controls. The trackpad input device was both empirically and subjectively found to be the least effective and least desired input device.

  7. Developing a low input and sustainable switchgrass feedstock production

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

    system utilizing beneficial bacterial endophytes | Department of Energy Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Developing a low input and sustainable switchgrass feedstock production system utilizing beneficial bacterial endophytes Dr. Chuansheng Mei gave this presentation at the Symbiosis Conference. PDF icon symbiosis_conference_mei.pdf More Documents & Publications Symbiosis Biofeedstock Conference:

  8. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, Richard P. (Livermore, CA); Paris, Robert D. (San Ramon, CA); Feldman, Mark (Pleasanton, CA)

    1993-01-01

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  9. Wavelength meter having single mode fiber optics multiplexed inputs

    DOE Patents [OSTI]

    Hackel, R.P.; Paris, R.D.; Feldman, M.

    1993-02-23

    A wavelength meter having a single mode fiber optics input is disclosed. The single mode fiber enables a plurality of laser beams to be multiplexed to form a multiplexed input to the wavelength meter. The wavelength meter can provide a determination of the wavelength of any one or all of the plurality of laser beams by suitable processing. Another aspect of the present invention is that one of the laser beams could be a known reference laser having a predetermined wavelength. Hence, the improved wavelength meter can provide an on-line calibration capability with the reference laser input as one of the plurality of laser beams.

  10. SBIR Phase II Final Report - Multi-Protocol Energy Management Gateway for Home-Area Networks

    SciTech Connect (OSTI)

    Hanna, Jason

    2015-02-06

    Significant amounts of electricity, natural gas, and heating oil are wasted by homeowners due to inefficient operation and inadequate maintenance of heating, ventilation, and air conditioning (HVAC) equipment. Coincidents work under this award reduces energy waste, saves consumers money, and reduces carbon emissions. It does so in three ways: First, Coincidents approach replaces the traditional thermostat with a wireless network of sensors and controllers that measure temperature, humidity and occupancy in multiple rooms in the house. The Internet of Things is a technology trend holding the promise of ubiquitous inexpensive sensors. The reality, however, is that energy and HVAC monitoring and management is a patchwork of incompatible protocols and expensive proprietary technologies. Coincidents multi-protocol architecture, developed in part under this award tackles this problem and brings low cost interoperable sensor and control devices to market. Second, the Coincident system eliminates hard-to-program and rigid thermostat schedules and instead provides automatic operation of heating and cooling by combining individual temperature and comfort preferences with energy-saving targets, real-time utility use information, weather data, and room utilization patterns. Energy efficiency technology must be appealing to consumers otherwise it will not be used. The Coincident user interface has engaging features such as remote control from any smart phone or web browser and per-room performance breakdowns. Expected energy savings resulting from more efficient operation of heating and air conditioning equipment are in the range of 10-20%. Third, the Coincident system provides heating and air-conditioning contractors with fine-grained performance data for every residence they support (subject to customer privacy controls). This data is integrated from diverse networks within the residence and includes HVAC performance and fuel use data. This information allows the partner to validate energy savings and identify potential system faults (whether from installation problems or maintenance issues). When combined with professional installation as part of high-efficiency HVAC upgrade, energy savings levels of 20-30% can be achieved. Economic feasibility of energy efficiency technology is one of the key challenges addressed in this award. The Coincident system is engineered to be delivered at a disruptive price point, making the system financially feasible for new and retrofit homes of all types and sizes. The Coincident system is intended to be sold through the HVAC professionalthe industry most capable of improving HVAC efficiency. Providing HVAC contractors with detailed home performance data motivates them to sell the product, provides them with maintenance and upgrade revenue opportunities, and therefore delivers customer savings and environmental benefits. Having demonstrated technical and financial feasibility, Coincident has won additional grants and awards, participated in pilot projects, started partnership discussions with several HVAC equipment vendors, and has lined up several large channel partners ready to participate in large pilot rollouts.

  11. Web Feature Service Validator

    Energy Science and Technology Software Center (OSTI)

    2013-08-01

    This site allows state data contributors to validate their WFS services against a specified schema for tier 3 data. The application uses the USGIN models API at https://github.com/usgin/usginmodels.

  12. Proposed Process: NNMCAB Input on Campaigns | Department of Energy

    Office of Environmental Management (EM)

    Proposed Process: NNMCAB Input on Campaigns Proposed Process: NNMCAB Input on Campaigns Topic: Jeff Mousseau LANL, Provided Information on the New Proposed Campaign Process for Field Work. Field work at LANL to be Divided into 17 Campaigns in 5 Categories. PDF icon Campaign Process - April 9, 2014 More Documents & Publications Associate Directorate for Environmental Programs Update March 26, 2014 Chromium Groundwater Remediation Campaign Associate Directorate for Environmental Programs

  13. DOE Seeks Input On Addressing Contractor Pension and Medical Benefits

    Energy Savers [EERE]

    Liabilities | Department of Energy Input On Addressing Contractor Pension and Medical Benefits Liabilities DOE Seeks Input On Addressing Contractor Pension and Medical Benefits Liabilities March 27, 2007 - 12:10pm Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) today announced in the Federal Register that it is seeking public comment on how to address the increasing costs and liabilities of contractor employee pension and medical benefits. Under the Department of Energy's unique

  14. Tribal Leaders Provide White House with Input on Bolstering Climate

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

    Resilience | Department of Energy Leaders Provide White House with Input on Bolstering Climate Resilience Tribal Leaders Provide White House with Input on Bolstering Climate Resilience January 7, 2015 - 10:29am Addthis As members of the President's State, Local, and Tribal Leaders Task Force on Climate Preparedness, Mayor Reggie Joule, Northwest Arctic Borough (AK) and Chairwoman Karen Diver, Fond du Lac Band of Lake Superior Chippewa (MN), were tasked by the President with providing

  15. Jimmy Bell's Experience Brings Valuable Input to Federal Advisory Board |

    Office of Environmental Management (EM)

    Department of Energy Jimmy Bell's Experience Brings Valuable Input to Federal Advisory Board Jimmy Bell's Experience Brings Valuable Input to Federal Advisory Board October 9, 2013 - 12:00pm Addthis As a youngster growing up in Hazlehurst, Ga., Jimmy Bell never imagined his future would take him across the globe to places he had only read about. However, through dedication and hard work, he was involved in important projects throughout the United States and around the world. Today, Jimmy is

  16. Summary of Stakeholder Input From May 2015 Request for Information |

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

    Department of Energy Summary of Stakeholder Input From May 2015 Request for Information Summary of Stakeholder Input From May 2015 Request for Information The U.S. Department of Energy (DOE) sought FY15 feedback through issuance of a Request for Information from public and private sector stakeholders. This RFI received commentary across five areas of interest, including: Technology Commercialization Fund, Cross-Research and Development Linkages and Innovation Cycle Transitions, Central

  17. Input-output model for MACCS nuclear accident impacts estimation

    SciTech Connect (OSTI)

    Outkin, Alexander V.; Bixler, Nathan E.; Vargas, Vanessa N

    2015-01-27

    Since the original economic model for MACCS was developed, better quality economic data (as well as the tools to gather and process it) and better computational capabilities have become available. The update of the economic impacts component of the MACCS legacy model will provide improved estimates of business disruptions through the use of Input-Output based economic impact estimation. This paper presents an updated MACCS model, bases on Input-Output methodology, in which economic impacts are calculated using the Regional Economic Accounting analysis tool (REAcct) created at Sandia National Laboratories. This new GDP-based model allows quick and consistent estimation of gross domestic product (GDP) losses due to nuclear power plant accidents. This paper outlines the steps taken to combine the REAcct Input-Output-based model with the MACCS code, describes the GDP loss calculation, and discusses the parameters and modeling assumptions necessary for the estimation of long-term effects of nuclear power plant accidents.

  18. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S.

    1981-01-01

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  19. US Nuclear Regulatory Commission Input to DOE Request for Information Smart

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

    Grid Implementation Input | Department of Energy US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input US Nuclear Regulatory Commission Input to DOE Request for Information Smart Grid Implementation Input. Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New

  20. Table 3. U.S. Inputs to biodiesel production

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

    U.S. Inputs to biodiesel production" "million pounds" ,"Feedstock inputs" ,"Vegetable oils",,,,,,,,,,,,"Animal fats" "Period","Canola oil",,"Corn oil",,"Cottonseed oil",,"Palm oil",,"Soybean oil",,"Other",,"Poultry",,"Tallow" 2013 "January",16,,60,,0,,"W",,313,,"W",,7,,15

  1. Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Minnesota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 48 106 337 1 3 11 2 1 385 315 1990's 56 49 52 78 289 194 709 172 50 64 2000's 101 118 13 42 71 154 13 54 46 47 2010's 12 20 9 22 66 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  2. New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Hampshire Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 774 720 582 328 681 509 362 464 492 592 1990's 205 128 96 154 160 90 147 102 103 111 2000's 180 86 66 58 91 84 92 9 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company

  3. South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Carolina Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 74 184 63 73 62 87 31 22 191 201 1990's 17 47 26 34 154 62 178 10 0 18 2000's 63 6 3 15 2 86 75 0 2010's 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  4. Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Virginia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 127 443 454 375 209 414 75 141 643 428 1990's 59 240 245 538 1,195 445 716 350 148 179 2000's 493 239 124 368 145 192 39 89 89 247 2010's 159 89 48 130 301 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  5. Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Georgia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 57 151 84 28 121 124 248 241 292 1990's 209 185 166 199 123 130 94 14 16 12 2000's 73 51 7 14 5 0 3 2 52 2010's 732 701 660 642 635 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data.

  6. Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Louisiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 2010's 249 435 553 560 517 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Total Supplemental Supply of Natural Gas Louisiana Supplemental Supplies of

  7. Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Maryland Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 484 498 984 352 332 373 155 136 743 899 1990's 24 72 126 418 987 609 882 178 80 498 2000's 319 186 48 160 124 382 41 245 181 170 2010's 115 89 116 107 809 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  8. STCH Annual Merit Review Input - EERE Hydrogen Program. (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect STCH Annual Merit Review Input - EERE Hydrogen Program. Citation Details In-Document Search Title: STCH Annual Merit Review Input - EERE Hydrogen Program. Abstract not provided. Authors: Siegel, Nathan Phillip Publication Date: 2008-05-01 OSTI Identifier: 1145867 Report Number(s): SAND2008-3332C 518638 DOE Contract Number: DE-AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Annual merit review held June 10-12, 2008 in DC, DC.; Related Information:

  9. CIPS Validation Data Plan

    SciTech Connect (OSTI)

    Nam Dinh

    2012-03-01

    This report documents analysis, findings and recommendations resulted from a task 'CIPS Validation Data Plan (VDP)' formulated as an POR4 activity in the CASL VUQ Focus Area (FA), to develop a Validation Data Plan (VDP) for Crud-Induced Power Shift (CIPS) challenge problem, and provide guidance for the CIPS VDP implementation. The main reason and motivation for this task to be carried at this time in the VUQ FA is to bring together (i) knowledge of modern view and capability in VUQ, (ii) knowledge of physical processes that govern the CIPS, and (iii) knowledge of codes, models, and data available, used, potentially accessible, and/or being developed in CASL for CIPS prediction, to devise a practical VDP that effectively supports the CASL's mission in CIPS applications.

  10. U-015: CiscoWorks Common Services Home Page Input Validation Flaw Lets Remote Users Execute Arbitrary Commands

    Broader source: Energy.gov [DOE]

    Successful exploitation of this vulnerability may allow an authenticated, remote attacker to execute arbitrary commands on the affected system with the privileges of a system administrator.

  11. U-067:WebSVN Input Validation Flaw in getLog() Permits Cross-Site Scripting Attacks

    Broader source: Energy.gov [DOE]

    A remote user can access the target user's cookies (including authentication cookies), if any, associated with the site running the WebSVN software, access data recently submitted by the target user via web form to the site, or take actions on the site acting as the target user.

  12. V-112: Microsoft SharePoint Input Validation Flaws Permit Cross-Site Scripting and Denial of Service Attacks

    Broader source: Energy.gov [DOE]

    This security update resolves four reported vulnerabilities in Microsoft SharePoint and Microsoft SharePoint Foundation.

  13. Agricultural and Environmental Input Parameters for the Biosphere Model

    SciTech Connect (OSTI)

    K. Rasmuson; K. Rautenstrauch

    2004-09-14

    This analysis is one of 10 technical reports that support the Environmental Radiation Model for Yucca Mountain Nevada (ERMYN) (i.e., the biosphere model). It documents development of agricultural and environmental input parameters for the biosphere model, and supports the use of the model to develop biosphere dose conversion factors (BDCFs). The biosphere model is one of a series of process models supporting the total system performance assessment (TSPA) for the repository at Yucca Mountain. The ERMYN provides the TSPA with the capability to perform dose assessments. A graphical representation of the documentation hierarchy for the ERMYN is presented in Figure 1-1. This figure shows the interrelationships between the major activities and their products (the analysis and model reports) that were planned in ''Technical Work Plan for Biosphere Modeling and Expert Support'' (BSC 2004 [DIRS 169573]). The ''Biosphere Model Report'' (BSC 2004 [DIRS 169460]) describes the ERMYN and its input parameters.

  14. Microchannel cross load array with dense parallel input

    DOE Patents [OSTI]

    Swierkowski, Stefan P.

    2004-04-06

    An architecture or layout for microchannel arrays using T or Cross (+) loading for electrophoresis or other injection and separation chemistry that are performed in microfluidic configurations. This architecture enables a very dense layout of arrays of functionally identical shaped channels and it also solves the problem of simultaneously enabling efficient parallel shapes and biasing of the input wells, waste wells, and bias wells at the input end of the separation columns. One T load architecture uses circular holes with common rows, but not columns, which allows the flow paths for each channel to be identical in shape, using multiple mirror image pieces. Another T load architecture enables the access hole array to be formed on a biaxial, collinear grid suitable for EDM micromachining (square holes), with common rows and columns.

  15. Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Alabama Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 50 23 91 9 54 14 3 2 17 16 1990's 320 332 171 410 69 0 18 21 2 4 2000's 0 0 0 22 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  16. Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Arizona Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 0 0 0 91 101 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  17. Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Arkansas Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 7 8 6 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  18. Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Massachusetts Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15,366 21,828 17,586 10,732 6,545 3,668 2,379 1,404 876 692 1990's 317 120 105 61 154 420 426 147 68 134 2000's 26 16 137 324 80 46 51 15 13 10 2010's 0 3 8 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  19. Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Michigan Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3 3,038 2,473 2,956 2,773 2,789 2,754 2,483 2,402 2,402 1990's 19,106 15,016 14,694 12,795 13,688 21,378 21,848 22,238 21,967 20,896 2000's 12,423 4,054 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld

  20. Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Missouri Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 65 60 2,129 1,278 326 351 1 1 2 1,875 1990's 0 0 0 0 371 4 785 719 40 207 2000's 972 31 62 1,056 917 15 78 66 6 10 2010's 18 172 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release

  1. Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Nebraska Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 1,838 63 2,006 2,470 2,689 2,142 2,199 1,948 2,088 1990's 2,361 2,032 1,437 791 890 15 315 134 11 4 2000's 339 6 1 13 39 16 19 33 28 18 2010's 12 9 4 2 376 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  2. Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Nevada Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 4 0 2 2 2 4 11 11 32 37 1990's 125 0 30 38 9 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  3. New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Jersey Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,574 11,504 9,786 9,896 8,616 13,421 12,099 13,774 14,846 14,539 1990's 9,962 14,789 14,362 14,950 7,737 7,291 6,778 6,464 9,082 5,761 2000's 8,296 12,330 3,526 473 530 435 175 379 489 454 2010's 457 392 139 255 530 - = No Data Reported; -- = Not Applicable;

  4. New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) New Mexico Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1 3 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  5. North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) North Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 196 417 102 0 8,335 40,370 49,847 51,543 49,014 54,408 1990's 53,144 52,557 58,496 57,680 57,127 57,393 55,867 53,179 54,672 53,185 2000's 49,190 51,004 53,184 53,192 47,362 51,329 54,361 51,103 50,536 53,495 2010's 54,813 51,303 52,541 45,736 48,394 - = No

  6. Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Ohio Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 69,169 69,850 64,812 62,032 43,866 24,444 5,182 18 44 348 1990's 849 891 1,051 992 1,432 904 1,828 1,423 1,194 1,200 2000's 1,442 1,149 79 1,002 492 579 423 608 460 522 2010's 353 296 366 416 641 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  7. Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Oregon Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 24 3 6 6 10 10 6 3 1990's 3 4 2 3 2 2 2 2 2 3 2000's 2 2 5 5 2 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  8. Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Pennsylvania Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 3,127 10,532 5,621 3,844 82 221 196 247 254 305 1990's 220 222 132 110 252 75 266 135 80 119 2000's 261 107 103 126 131 132 124 145 123 205 2010's 4 2 2 3 20 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of

  9. Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Rhode Island Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 257 951 718 594 102 130 182 109 391 219 1990's 51 92 155 126 0 27 42 18 1 1 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  10. South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) South Dakota Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9 24 50 1 0 0 0 0 10 16 1990's 10 3 10 9 61 37 87 30 4 5 2000's 13 5 3 57 5 4 0 1 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  11. Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Tennessee Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 12 42 90 39 25 36 13 26 36 78 1990's 3 8 12 13 84 33 73 19 4 11 2000's 13 0 1 1 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  12. Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Vermont Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 0 0 0 0 0 0 0 1990's 0 6 3 4 9 4 5 6 0 1 2000's 7 104 2 10 12 9 2 2 1 2 2010's 1 2 3 3 5 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  13. Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Washington Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 15 13 15 11 11 9 10 21 79 154 1990's 181 154 180 4 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  14. U.S. Total Weekly Inputs & Utilization

    Gasoline and Diesel Fuel Update (EIA)

    739 15,653 15,665 15,724 15,824 15,861 1982-2016 Gross Inputs 15,900 15,805 15,811 15,895 16,032 16,064 1990-2016 Operable Capacity (Calendar Day) 18,137 18,149 18,160 18,172 18,172 18,172 1990-2016 Percent Operable Utilization 87.7 87.1 87.1 87.5 88.2 88.4 1990-2016 Refiner and Blender Net Inputs Motor Gasoline Blending Components 104 200 257 502 612 696 2008-2016 RBOB 362 316 291 395 435 470 2010-2016 CBOB -355 -283 -247 -99 -16 46 2010-2016 GTAB 60 75 81 77 46 54 2010-2016 All Other 38 92 132

  15. Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Delaware Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 55 135 56 20 13 12 9 0 2 18 1990's 4,410 4,262 3,665 3,597 3,032 1 1 2 0 0 2000's 6 0 0 7 17 0 W 5 2 2 2010's 1 0 6 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

  16. District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic

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

    Feet) Input Supplemental Fuels (Million Cubic Feet) District of Columbia Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 1 46 0 0 0 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016

  17. Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Florida Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1 3 1 0 3 0 0 0 0 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  18. Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Hawaii Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 3,190 2,993 2,899 2,775 2,449 2,655 2,630 2,461 2,801 2,844 1990's 2,817 2,725 2,711 2,705 2,831 2,793 2,761 2,617 2,715 2,752 2000's 2,769 2,689 2,602 2,602 2,626 2,606 2,613 2,683 2,559 2,447 2010's 2,472 2,467 2,510 2,658 2,743 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  19. Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Illinois Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 36,713 29,509 19,005 19,734 17,308 19,805 22,980 12,514 9,803 9,477 1990's 8,140 6,869 8,042 9,760 7,871 6,256 3,912 4,165 2,736 2,527 2000's 1,955 763 456 52 14 15 13 11 15 20 2010's 17 1 1 63 - = No Data Reported; -- = Not Applicable; NA = Not Available; W =

  20. Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Indiana Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 1,602 5,056 3,496 4,142 4,027 2,711 2,351 3,890 4,243 3,512 1990's 3,015 3,077 3,507 3,232 2,457 3,199 3,194 3,580 3,149 5,442 2000's 5,583 5,219 1,748 2,376 2,164 1,988 1,642 635 30 1 2010's 1 5 1 6 69 - = No Data Reported; -- = Not Applicable; NA = Not

  1. Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Iowa Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 57 64 68 23 53 45 44 40 34 82 1990's 81 46 45 84 123 96 301 137 17 12 2000's 44 39 23 143 30 31 46 40 27 3 2010's 2 1 0 0 1 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date:

  2. Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Kentucky Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 42 2 131 259 94 4 1 0 6 44 1990's 2 2 5 16 50 6 45 24 2 3 2000's 10 2 1 98 0 15 3 124 15 18 2010's 5 8 1 29 52 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  3. Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Maine Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 157 94 71 12 0 0 0 0 0 0 1990's 0 0 0 0 0 96 61 31 24 43 2000's 6 0 5 6 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release

  4. Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Wisconsin Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 2 4 13 2 6 14 1 1 2 5 1990's 1 1 1 3 5 2 21 5 21 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date:

  5. Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Wyoming Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 124 222 518 373 271 316 339 303 291 167 1990's 0 0 0 0 0 0 0 0 0 0 2000's 0 0 0 0 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next

  6. Refinery & Blenders Net Input of Crude Oil

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

    Input Product: Total Crude Oil & Petroleum Products Crude Oil Natural Gas Plant Liquids and Liquefied Refinery Gases Pentanes Plus Liquefied Petroleum Gases Ethane Normal Butane Isobutane Other Liquids Hydrogen/Oxygenates/Renewables/Other Hydrocarbons Hydrogen Oxygenates (excl. Fuel Ethanol) Methyl Tertiary Butyl Ether (MTBE) All Other Oxygenates Renewable Fuels (incl. Fuel Ethanol) Fuel Ethanol Renewable Diesel Fuel Other Renewable Fuels Other Hydrocarbons Unfinished Oils (net) Unfinished

  7. PERSPECTIVES ON A DOE CONSEQUENCE INPUTS FOR ACCIDENT ANALYSIS APPLICATIONS

    SciTech Connect (OSTI)

    , K; Jonathan Lowrie, J; David Thoman , D; Austin Keller , A

    2008-07-30

    Department of Energy (DOE) accident analysis for establishing the required control sets for nuclear facility safety applies a series of simplifying, reasonably conservative assumptions regarding inputs and methodologies for quantifying dose consequences. Most of the analytical practices are conservative, have a technical basis, and are based on regulatory precedent. However, others are judgmental and based on older understanding of phenomenology. The latter type of practices can be found in modeling hypothetical releases into the atmosphere and the subsequent exposure. Often the judgments applied are not based on current technical understanding but on work that has been superseded. The objective of this paper is to review the technical basis for the major inputs and assumptions in the quantification of consequence estimates supporting DOE accident analysis, and to identify those that could be reassessed in light of current understanding of atmospheric dispersion and radiological exposure. Inputs and assumptions of interest include: Meteorological data basis; Breathing rate; and Inhalation dose conversion factor. A simple dose calculation is provided to show the relative difference achieved by improving the technical bases.

  8. Collecting and Characterizing Validation Data

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

    and Characterizing Validation Data to Support Advanced Simulation of Nuclear Reactor Hydraulics Nam Dinh North Carolina State University Anh Bui Idaho National Laboratory Hyung Lee Bettis Laboratory ASME 2013 Verification and Validation Symposium Las Vegas, NV, May 22-24, 2013 Multi-Physics, Multi-Scale Problem Validation Hierarchy (Validation Pyramid) of Subcooled Boiling Flow Model Bayesian Framework for Data Integration Nuclear System Analysis - Subcooled Boiling Flow Example * Underlying

  9. Alaska Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 0 0 0 0 0 0 2010's 0 0 0 0 0 - = No Data Reported; -- = Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Release Date: 2/29/2016 Next Release Date: 3/31/2016 Referring Pages: Total Supplemental Supply of Natural Gas Alaska Supplemental Supplies of Natural Gas Supplies of Natural Gas Supplemental Fuels (Annual

  10. Characterization of industrial process waste heat and input heat streams

    SciTech Connect (OSTI)

    Wilfert, G.L.; Huber, H.B.; Dodge, R.E.; Garrett-Price, B.A.; Fassbender, L.L.; Griffin, E.A.; Brown, D.R.; Moore, N.L.

    1984-05-01

    The nature and extent of industrial waste heat associated with the manufacturing sector of the US economy are identified. Industry energy information is reviewed and the energy content in waste heat streams emanating from 108 energy-intensive industrial processes is estimated. Generic types of process equipment are identified and the energy content in gaseous, liquid, and steam waste streams emanating from this equipment is evaluated. Matchups between the energy content of waste heat streams and candidate uses are identified. The resultant matrix identifies 256 source/sink (waste heat/candidate input heat) temperature combinations. (MHR)

  11. Gross Input to Atmospheric Crude Oil Distillation Units

    Gasoline and Diesel Fuel Update (EIA)

    Day) Process: Gross Input to Atmospheric Crude Oil Dist. Units Operable Capacity (Calendar Day) Operating Capacity Idle Operable Capacity Operable Utilization Rate Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Process Area Jul-15 Aug-15 Sep-15 Oct-15 Nov-15 Dec-15 View History U.S. 17,178 16,963 16,394 15,690 16,673 16,848 1985-2015 PADD 1 1,192 1,196 1,063 1,133 1,190 1,136 1985-2015 East

  12. Summary of Input Request for Information DE-FOA-0001346 | Department of

    Energy Savers [EERE]

    Energy Summary of Input Request for Information DE-FOA-0001346 Summary of Input Request for Information DE-FOA-0001346 PDF icon September 2015 More Documents & Publications Summary of Stakeholder Input From May 2015 Request for Information Summary of Input Request for Information DE-FOA-0001346 DE-FOA-0001346 -- Request for Information (RFI) Summary of Input Request for Information DE-FOA-0001346 FY 2017 President's Budget Request for the Office of Technology Transitions

  13. Heat transfer analysis in Stirling engine heat input system

    SciTech Connect (OSTI)

    Chung, W.; Kim, S.

    1995-12-31

    One of the major factor in commercialization of Stirling engine is mass productivity, and the heat input system including tubular heater is one of the obstacles to mass production because of its complexity in shape and difficulty in manufacturing, which resulted from using oxidation-resistant, low-creep alloys which are not easy to machine and weld. Therefore a heater heat exchanger which is very simple in shape and easy to make has been devised, and a burner system appropriate to this heater also has been developed. In this paper specially devised heat input system which includes a heater shell shaped like U-cup and a flame tube located in the heater shell is analyzed in point of heat transfer processes to find optimum heat transfer. To enhance the heat transfer from the flame tube to the heater shell wall, it is required that the flame tube diameter be enlarged as close to the heater shell diameter as possible, and the flame tube temperature be raised as high as possible. But the enlargement of the flame tube diameter should be restricted by the state of combustion affected by hydraulic resistance of combustion gas, and the boost of the flame tube temperature should be considered carefully in the aspects of the flame tube`s service life.

  14. RF Input Power Couplers for High Current SRF Applications

    SciTech Connect (OSTI)

    Khan, V. F.; Anders, W.; Burrill, Andrew; Knobloch, Jens; Kugeler, Oliver; Neumann, Axel; Wang, Haipeng

    2014-12-01

    High current SRF technology is being explored in present day accelerator science. The bERLinPro project is presently being built at HZB to address the challenges involved in high current SRF machines with the goal of generating and accelerating a 100 mA electron beam to 50 MeV in continuous wave (cw) mode at 1.3 GHz. One of the main challenges in this project is that of handling the high input RF power required for the photo-injector as well as booster cavities where there is no energy recovery process. A high power co-axial input power coupler is being developed to be used for the photo-injector and booster cavities at the nominal beam current. The coupler is based on the KEK–cERL design and has been modified to minimise the penetration of the coupler tip in the beam pipe without compromising on beam-power coupling (Qext ~105). Herein we report on the RF design of the high power (115 kW per coupler, dual couplers per cavity) bERLinPro (BP) coupler along with initial results on thermal calculations. We summarise the RF conditioning of the TTF-III couplers (modified for cw operation) performed in the past at BESSY/HZB. A similar conditioning is envisaged in the near future for the low current SRF photo-injector and the bERLinPro main linac cryomodule.

  15. Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) Colorado Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1960's 0 0 0 1970's 0 0 0 0 0 0 0 0 0 0 1980's 9,868 9,133 8,877 7,927 9,137 8,934 8,095 8,612 10,322 9,190 1990's 15,379 6,778 7,158 8,456 8,168 7,170 6,787 6,314 5,292 4,526 2000's 4,772 5,625 5,771 5,409 5,308 5,285 6,149 6,869 6,258 7,527 2010's 5,148 4,268 4,412 4,077 4,120 - = No Data Reported; -- = Not

  16. Residential oil burners with low input and two stages firing

    SciTech Connect (OSTI)

    Butcher, T.; Krajewski, R.; Leigh, R.

    1997-12-31

    The residential oil burner market is currently dominated by the pressure-atomized, retention head burner. At low firing rates pressure atomizing nozzles suffer rapid fouling of the small internal passages, leading to bad spray patterns and poor combustion performance. To overcome the low input limitations of conventional burners, a low pressure air-atomized burner has been developed watch can operate at fining rates as low as 0.25 gallons of oil per hour (10 kW). In addition, the burner can be operated in a high/low fining rate mode. Field tests with this burner have been conducted at a fixed input rate of 0.35 gph (14 kW) with a side-wall vented boiler/water storage tank combination. At the test home, instrumentation was installed to measure fuel and energy flows and record trends in system temperatures. Laboratory efficiency testing with water heaters and boilers has been completed using standard single purpose and combined appliance test procedures. The tests quantify benefits due to low firing rates and other burner features. A two stage oil burner gains a strong advantage in rated efficiency while maintaining capacity for high domestic hot water and space heating loads.

  17. Using Whole-House Field Tests to Empirically Derive Moisture Buffering Model Inputs

    SciTech Connect (OSTI)

    Woods, J.; Winkler, J.; Christensen, D.; Hancock, E.

    2014-08-01

    Building energy simulations can be used to predict a building's interior conditions, along with the energy use associated with keeping these conditions comfortable. These models simulate the loads on the building (e.g., internal gains, envelope heat transfer), determine the operation of the space conditioning equipment, and then calculate the building's temperature and humidity throughout the year. The indoor temperature and humidity are affected not only by the loads and the space conditioning equipment, but also by the capacitance of the building materials, which buffer changes in temperature and humidity. This research developed an empirical method to extract whole-house model inputs for use with a more accurate moisture capacitance model (the effective moisture penetration depth model). The experimental approach was to subject the materials in the house to a square-wave relative humidity profile, measure all of the moisture transfer terms (e.g., infiltration, air conditioner condensate) and calculate the only unmeasured term: the moisture absorption into the materials. After validating the method with laboratory measurements, we performed the tests in a field house. A least-squares fit of an analytical solution to the measured moisture absorption curves was used to determine the three independent model parameters representing the moisture buffering potential of this house and its furnishings. Follow on tests with realistic latent and sensible loads showed good agreement with the derived parameters, especially compared to the commonly-used effective capacitance approach. These results show that the EMPD model, once the inputs are known, is an accurate moisture buffering model.

  18. BISON Validation | Department of Energy

    Energy Savers [EERE]

    Validation BISON Validation January 29, 2013 - 11:54am Addthis BISON Validation Predictive Maturity Work continued on the previously developed discovery, accumulation, and assessment (DAA) process to plan, track, assess, and communicate VU activities and results. DAA was applied to the BISON sensitivity analysis described above, and the results were exported to Synopsis, the DAA management tool. [SNL, LANL, INL] Building on previous sensitivity studies of the LIFE-IV nuclear fuels code, a

  19. Software Verification and Validation Procedure

    SciTech Connect (OSTI)

    Olund, Thomas S.

    2008-09-15

    This Software Verification and Validation procedure provides the action steps for the Tank Waste Information Network System (TWINS) testing process. The primary objective of the testing process is to provide assurance that the software functions as intended, and meets the requirements specified by the client. Verification and validation establish the primary basis for TWINS software product acceptance.

  20. Technology Validation | Department of Energy

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

    Validation Technology Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon tv_0_garbak.pdf More Documents & Publications Scenario Analysis Meeting 2010 Fuel Cell Project Kick-off Welcome Hydrogen and FCV Implementation Scenarios, 2010 - 2025

  1. 20th Century Reanalysis Project Ensemble Gateway: 56 Estimates of World Temperature, Pressure, Humidity, and Wind, 1871-2010

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

    This site provides data from the 20th Century Reanalysis Project, offering temperature, pressure, humidity, and wind predictions in 200 km sections all around the earth from 1871 to 2010, every 6 hours, based on historical data. The ensemble mean and standard deviation for each value were calculated over a set of 56 simulations. Data for each of the 56 ensemble members are included here. The dataset consists of files in netCDF 4 format that are available for download from the National Energy Research. The goal of the 20th Century Reanalysis Project is to use a Kalman filter-based technique to produce a global trophospheric circulation dataset at four-times-daily resolution back to 1871. The only dataset available for the early 20th century consists of error-ridden hand-drawn analyses of the mean sea level pressure field over the Northern Hemisphere. Modern data assimilation systems have the potential to improve upon these maps, but prior to 1948, few digitized upper-air sounding observations are available for such a reanalysis. The global tropospheric circulation dataset will provide an important validation check on the climate models used to make 21st century climate projections....[copied from http://portal.nersc.gov/project/20C_Reanalysis/

  2. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, R.E. Jr.; Johnson, S.A.

    1994-10-11

    An interface module for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams in the form of illumination bar to the lasing zone of a dye laser device, in particular to a dye laser amplifier. The preferred interface module includes an optical fiber array having a plurality of optical fibers arrayed in a co-planar fashion with their distal ends receiving coherent laser energy from an enhancing laser source, and their proximal ends delivered into a relay structure. The proximal ends of the optical fibers are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array delivered from the optical fiber array is acted upon by an optical element array to produce an illumination bar which has a cross section in the form of a elongated rectangle at the position of the lasing window. The illumination bar is selected to have substantially uniform intensity throughout. 5 figs.

  3. Interface module for transverse energy input to dye laser modules

    DOE Patents [OSTI]

    English, Jr., Ronald E.; Johnson, Steve A.

    1994-01-01

    An interface module (10) for transverse energy input to dye laser modules is provided particularly for the purpose of delivering enhancing transverse energy beams (36) in the form of illumination bar (54) to the lasing zone (18) of a dye laser device, in particular to a dye laser amplifier (12). The preferred interface module (10) includes an optical fiber array (30) having a plurality of optical fibers (38) arrayed in a co-planar fashion with their distal ends (44) receiving coherent laser energy from an enhancing laser source (46), and their proximal ends (4) delivered into a relay structure (3). The proximal ends (42) of the optical fibers (38) are arrayed so as to be coplanar and to be aimed generally at a common point. The transverse energy beam array (36) delivered from the optical fiber array (30) is acted upon by an optical element array (34) to produce an illumination bar (54) which has a cross section in the form of a elongated rectangle at the position of the lasing window (18). The illumination bar (54) is selected to have substantially uniform intensity throughout.

  4. Geological input to reservoir simulation, Champion Field, offshore Brunei

    SciTech Connect (OSTI)

    Carter, R.; Salahudin, S.; Ho, T.C.

    1994-07-01

    Brunei Shell Petroleum's giant Champion field is in a mature stage of development with about 23 yr of production history to date. The field comprises a complex sequence of Miocene shallow marine and deltaic layered clastic reservoirs cut by numerous growth faults. This study was aimed at providing a quantified estimate of the effect of lateral and vertical discontinuities within the I and J reservoirs on the recovery for both depletion drive and in a waterflood, with a view to identifying the optimal method of completing the development of the oil reserves in this area. Geological input to the ECLIPSE simulator was aimed at quantifying two key parameters: (1) STOIIP connected to the well bore and (2) permeability contrast. Connected STOIIP is a function of the domain size of interconnected sand bodies, and this parameter was quantified by the use of detailed sedimentology resulting in sand-body facies maps for each reservoir sublayer. Permeability contrast was quantified by using a wireline-log based algorithm, calibrated against core data, which improved the existing accuracy of permeability estimates in this part of the field. Results of simulation runs illustrate the importance of quantifying geologic heterogeneity and provide valuable information for future field development planning.

  5. Advanced Supply System Validation Workshop

    Broader source: Energy.gov [DOE]

    The Bioenergy Technologies Office (BETO) is hosting the Advanced Supply System Validation Workshop on February 3-4, 2015, in Golden, Colorado. The purpose of the workshop is to bring together a...

  6. Syngas Mixed Alcohol Cost Validation

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

    1, 2013 DOE Bioenergy Technologies Office: Project Peer Review Syngas Mixed Alcohol Cost Validation Abhijit Dutta, NREL This presentation does not contain any proprietary, confidential, or otherwise restricted information Goal Statement Enable research and development of cost-competitive biomass to liquid fuels by providing: - Techno-economic analysis (TEA) - Feedback to the research efforts Specific objective in 2012: Provide TEA and validate DOE BETO's goal to demonstrate technologies capable

  7. Technology Validation | Department of Energy

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

    Technology Validation Technology Validation In addition to the technical challenges being addressed through research, design, and development, there are obstacles to successful implementation of fuel cells and the corresponding hydrogen infrastructure that can be addressed only by integrating the components into complete systems. After a technology achieves its technical targets in the laboratory, the next step is to show that it can work as designed within complete systems (i.e., fuel cell

  8. Quality data validation: Comprehensive approach to environmental data validation

    SciTech Connect (OSTI)

    Matejka, L.A. Jr.

    1993-10-01

    Environmental data validation consists of an assessment of three major areas: analytical method validation; field procedures and documentation review; evaluation of the level of achievement of data quality objectives based in part on PARCC parameters analysis and expected applications of data. A program utilizing matrix association of required levels of validation effort and analytical levels versus applications of this environmental data was developed in conjunction with DOE-ID guidance documents to implement actions under the Federal Facilities Agreement and Consent Order in effect at the Idaho National Engineering Laboratory. This was an effort to bring consistent quality to the INEL-wide Environmental Restoration Program and database in an efficient and cost-effective manner. This program, documenting all phases of the review process, is described here.

  9. Combined Effects of Gravity, Bending Moment, Bearing Clearance, and Input Torque on Wind Turbine Planetary Gear Load Sharing: Preprint

    SciTech Connect (OSTI)

    Guo, Y.; Keller, J.; LaCava, W.

    2012-09-01

    This computational work investigates planetary gear load sharing of three-mount suspension wind turbine gearboxes. A three dimensional multibody dynamic model is established, including gravity, bending moments, fluctuating mesh stiffness, nonlinear tooth contact, and bearing clearance. A flexible main shaft, planetary carrier, housing, and gear shafts are modeled using reduced degrees-of-freedom through modal compensation. This drivetrain model is validated against the experimental data of Gearbox Reliability Collaborative for gearbox internal loads. Planet load sharing is a combined effect of gravity, bending moment, bearing clearance, and input torque. Influences of each of these parameters and their combined effects on the resulting planet load sharing are investigated. Bending moments and gravity induce fundamental excitations in the rotating carrier frame, which can increase gearbox internal loads and disturb load sharing. Clearance in carrier bearings reduces the bearing load carrying capacity and thus the bending moment from the rotor can be transmitted into gear meshes. With bearing clearance, the bending moment can cause tooth micropitting and can induce planet bearing fatigue, leading to reduced gearbox life. Planet bearings are susceptible to skidding at low input torque.

  10. Reviews and Validations | Department of Energy

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

    Reviews and Validations Reviews and Validations External Independent Review (EIR) Procedures Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital ...

  11. Development of Earthquake Ground Motion Input for Preclosure Seismic Design and Postclosure Performance Assessment of a Geologic Repository at Yucca Mountain, NV

    SciTech Connect (OSTI)

    I. Wong

    2004-11-05

    This report describes a site-response model and its implementation for developing earthquake ground motion input for preclosure seismic design and postclosure assessment of the proposed geologic repository at Yucca Mountain, Nevada. The model implements a random-vibration theory (RVT), one-dimensional (1D) equivalent-linear approach to calculate site response effects on ground motions. The model provides results in terms of spectral acceleration including peak ground acceleration, peak ground velocity, and dynamically-induced strains as a function of depth. In addition to documenting and validating this model for use in the Yucca Mountain Project, this report also describes the development of model inputs, implementation of the model, its results, and the development of earthquake time history inputs based on the model results. The purpose of the site-response ground motion model is to incorporate the effects on earthquake ground motions of (1) the approximately 300 m of rock above the emplacement levels beneath Yucca Mountain and (2) soil and rock beneath the site of the Surface Facilities Area. A previously performed probabilistic seismic hazard analysis (PSHA) (CRWMS M&O 1998a [DIRS 103731]) estimated ground motions at a reference rock outcrop for the Yucca Mountain site (Point A), but those results do not include these site response effects. Thus, the additional step of applying the site-response ground motion model is required to develop ground motion inputs that are used for preclosure and postclosure purposes.

  12. PV Validation and Bankability Workshop

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

    PV Validation and Bankability Workshop August 31, 2011 Survey Results As of August 29, 2011 List of Questions * What is your market sector? * From product development through product launch, data must be collected at each step. If the Department of Energy can identify funds to provide some type of 3rd party validation/verification effort/study, what would be your priority for that effort? * What scale of module/system data is of interest and of use in making decisions in your market sector? *

  13. DOE Seeks Additional Input on Next Generation Nuclear Plant | Department of

    Energy Savers [EERE]

    Energy Additional Input on Next Generation Nuclear Plant DOE Seeks Additional Input on Next Generation Nuclear Plant April 17, 2008 - 10:49am Addthis WASHINGTON, DC -The U.S. Department of Energy (DOE) today announced it is seeking public and industry input on how to best achieve the goals and meet the requirements for the Next Generation Nuclear Plant (NGNP) demonstration project work at DOE's Idaho National Laboratory. DOE today issued a Request for Information and Expressions of Interest

  14. Rail-to-rail differential input amplification stage with main and surrogate differential pairs

    DOE Patents [OSTI]

    Britton, Jr., Charles Lanier; Smith, Stephen Fulton

    2007-03-06

    An operational amplifier input stage provides a symmetrical rail-to-rail input common-mode voltage without turning off either pair of complementary differential input transistors. Secondary, or surrogate, transistor pairs assume the function of the complementary differential transistors. The circuit also maintains essentially constant transconductance, constant slew rate, and constant signal-path supply current as it provides rail-to-rail operation.

  15. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratorys Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  16. DOE Seeks Public Input on an Integrated, Interagency Pre-Application

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

    Process for Transmission Authorizations | Department of Energy Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations DOE Seeks Public Input on an Integrated, Interagency Pre-Application Process for Transmission Authorizations August 29, 2013 - 9:09am Addthis A Request for Information (RFI) seeking public input for a draft Integrated, Interagency Pre-application (IIP) Process was published in the Federal Register on August 29, 2013. The

  17. Stanford's input to the Commission to Review the Effectiveness of the

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

    National Energy Laboratories | Department of Energy Stanford's input to the Commission to Review the Effectiveness of the National Energy Laboratories Stanford's input to the Commission to Review the Effectiveness of the National Energy Laboratories Stanford's input was presented to the Commission to Review the Effectiveness of the National Energy Laboratories by Bill Madia, Vice President of SLAC National Acceleratory Laboratory and Chair, Board of Overseers, Stanford University. PDF icon

  18. A Requirement for Significant Reduction in the Maximum BTU Input Rate of

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

    Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers | Department of Energy A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers A Requirement for Significant Reduction in the Maximum BTU Input Rate of Decorative Vented Gas Fireplaces Would Impose Substantial Burdens on Manufacturers Comment that a requirement to reduce the BTU input rate of existing decorative

  19. SRTC input to DOE-HQ R and D database for FY99

    SciTech Connect (OSTI)

    Chandler, L.R. Jr.

    2000-01-05

    This is a database of the Savannah River Site input to the DOE Research and Development database. The report contains approximately 50 project abstracts.

  20. [Composite analysis E-area vaults and saltstone disposal facilities]. PORFLOW and FACT input files

    SciTech Connect (OSTI)

    Cook, J.R.

    1997-09-01

    This diskette contains the PORFLOW and FACT input files described in Appendix B of the accompanying report `Composite Analysis E-Area Vaults and Saltstone Disposal Facilities`.

  1. Measures of agreement between computation and experiment:validation metrics.

    SciTech Connect (OSTI)

    Barone, Matthew Franklin; Oberkampf, William Louis

    2005-08-01

    With the increasing role of computational modeling in engineering design, performance estimation, and safety assessment, improved methods are needed for comparing computational results and experimental measurements. Traditional methods of graphically comparing computational and experimental results, though valuable, are essentially qualitative. Computable measures are needed that can quantitatively compare computational and experimental results over a range of input, or control, variables and sharpen assessment of computational accuracy. This type of measure has been recently referred to as a validation metric. We discuss various features that we believe should be incorporated in a validation metric and also features that should be excluded. We develop a new validation metric that is based on the statistical concept of confidence intervals. Using this fundamental concept, we construct two specific metrics: one that requires interpolation of experimental data and one that requires regression (curve fitting) of experimental data. We apply the metrics to three example problems: thermal decomposition of a polyurethane foam, a turbulent buoyant plume of helium, and compressibility effects on the growth rate of a turbulent free-shear layer. We discuss how the present metrics are easily interpretable for assessing computational model accuracy, as well as the impact of experimental measurement uncertainty on the accuracy assessment.

  2. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  3. Gateway:ECOWAS Clean Energy Gateway | Open Energy Information

    Open Energy Info (EERE)

    Policy Organizations (3) add West African Companies (4) add West African Programs (76The part "|Programs and Projects" of the query was not understood. Results might not...

  4. PV Validation and Bankability Workshop

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

    PV Validation and Bankability Workshop What if?? * This is a reality: A subsidy-free solar electricity infrastructure with an LCOE of 5-6 c/kWh without subsidies * Jobs and Competitiveness: Innovation that ensures the U.S. leads the way on clean energy, supporting new jobs and opportunities for Americans * National Energy Security: Independence from fossil fuel and increased national security * Healthy Environment: Huge carbon reduction and cleaner air ... Imagine a World... * Introducing

  5. Criticality Safety Validation of SCALE 6.1 with ENDF/B-VII.0 Libraries

    SciTech Connect (OSTI)

    Marshall, William BJ J; Rearden, Bradley T

    2012-01-01

    ANSI/ANS-8.1-1998;2007, Nuclear Criticality Safety in Operations with Fissionable Material Outside Reactors, and ANSI/ANS-8.24-2007, Validation of Neutron Transport Methods for Nuclear Criticality Safety Calculations, require validation of a computer code and the associated data through benchmark evaluations based on physical experiments. The performance of the code and data are validated by comparing the calculated and the benchmark results. A SCALE procedure has been established to generate a Verified, Archived Library of Inputs and Data (VALID). This procedure provides a framework for preparing, peer reviewing, and controlling models and data sets derived from benchmark definitions so that the models and data can be used with confidence. The procedure ensures that the models and data were correctly generated using appropriate references with documented checks and reviews. Configuration management is implemented to prevent inadvertent modification of the models and data or inclusion of models that have not been subjected to the rigorous review process. VALID entries for criticality safety are based on critical experiments documented in the International Handbook of Evaluated Criticality Safety Benchmark Experiments (IHECSBE). The findings of a criticality safety validation of SCALE 6.1 utilizing the benchmark models vetted in the VALID library at Oak Ridge National Laboratory are summarized here.

  6. GATEWAY Demonstrations: LED Street Lighting

    SciTech Connect (OSTI)

    Cook, Tyson; Shackelford, Jordan; Pang, Terrance Pang

    2008-12-01

    This report summarizes an assessment project conducted to study the performance of light emitting diode (LED) luminaires in a street lighting application in San Francisco, CA.

  7. Why do verification and validation?

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Hu, Kenneth T.; Paez, Thomas L.

    2016-02-19

    In this discussion paper, we explore different ways to assess the value of verification and validation (V&V) of engineering models. We first present a literature review on the value of V&V and then use value chains and decision trees to show how value can be assessed from a decision maker's perspective. In this context, the value is what the decision maker is willing to pay for V&V analysis with the understanding that the V&V results are uncertain. As a result, the 2014 Sandia V&V Challenge Workshop is used to illustrate these ideas.

  8. Role of the nonperturbative input in QCD resummed Drell-Yan Q{sub T}

    Office of Scientific and Technical Information (OSTI)

    distributions (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Role of the nonperturbative input in QCD resummed Drell-Yan Q{sub T} distributions Citation Details In-Document Search Title: Role of the nonperturbative input in QCD resummed Drell-Yan Q{sub T} distributions We analyze the role of the nonperturbative input in the Collins-Soper-Sterman (CSS) b-space QCD resummation formalism for Drell-Yan transverse momentum (Q{sub T}) distributions, and

  9. SNS Sample Activation Calculator Flux Recommendations and Validation

    SciTech Connect (OSTI)

    McClanahan, Tucker C.; Gallmeier, Franz X.; Iverson, Erik B.; Lu, Wei

    2015-02-01

    The Spallation Neutron Source (SNS) at Oak Ridge National Laboratory (ORNL) uses the Sample Activation Calculator (SAC) to calculate the activation of a sample after the sample has been exposed to the neutron beam in one of the SNS beamlines. The SAC webpage takes user inputs (choice of beamline, the mass, composition and area of the sample, irradiation time, decay time, etc.) and calculates the activation for the sample. In recent years, the SAC has been incorporated into the user proposal and sample handling process, and instrument teams and users have noticed discrepancies in the predicted activation of their samples. The Neutronics Analysis Team validated SAC by performing measurements on select beamlines and confirmed the discrepancies seen by the instrument teams and users. The conclusions were that the discrepancies were a result of a combination of faulty neutron flux spectra for the instruments, improper inputs supplied by SAC (1.12), and a mishandling of cross section data in the Sample Activation Program for Easy Use (SAPEU) (1.1.2). This report focuses on the conclusion that the SAPEU (1.1.2) beamline neutron flux spectra have errors and are a significant contributor to the activation discrepancies. The results of the analysis of the SAPEU (1.1.2) flux spectra for all beamlines will be discussed in detail. The recommendations for the implementation of improved neutron flux spectra in SAPEU (1.1.3) are also discussed.

  10. LBE Natural Circulation Fluid Dynamics Validation Project

    SciTech Connect (OSTI)

    Voit, Regan; Prince, Robert; Cacuci, Dan G.

    2015-12-20

    Conceptual design of a scaled Natural Circulation Experimental Facility (NCEF) for providing data in support of validating reactor design codes.

  11. Technology Validation Fact Sheet | Department of Energy

    Energy Savers [EERE]

    Technology Validation Fact Sheet Technology Validation Fact Sheet Fact sheet produced by the Fuel Cell Technologies Office describing hydrogen and fuel cell technology validation efforts (September 2013). PDF icon Technology Validation More Documents & Publications Tri-Generation Success Story: World's First Tri-Gen Energy Station-Fountain Valley Fuel Cell Technologies Program Overview: 2012 DOE Polymer and Composite Materials Meetings Fuel Cell Technologies Program Overview: 2012 IEA HIA

  12. Validation of a Hot Water Distribution Model Using Laboratory and Field Data

    SciTech Connect (OSTI)

    Backman, C.; Hoeschele, M.

    2013-07-01

    Characterizing the performance of hot water distribution systems is a critical step in developing best practice guidelines for the design and installation of high performance hot water systems. Developing and validating simulation models is critical to this effort, as well as collecting accurate input data to drive the models. In this project, the ARBI team validated the newly developed TRNSYS Type 604 pipe model against both detailed laboratory and field distribution system performance data. Validation efforts indicate that the model performs very well in handling different pipe materials, insulation cases, and varying hot water load conditions. Limitations of the model include the complexity of setting up the input file and long simulation run times. In addition to completing validation activities, this project looked at recent field hot water studies to better understand use patterns and potential behavioral changes as homeowners convert from conventional storage water heaters to gas tankless units. Based on these datasets, we conclude that the current Energy Factor test procedure overestimates typical use and underestimates the number of hot water draws. This has implications for both equipment and distribution system performance. Gas tankless water heaters were found to impact how people use hot water, but the data does not necessarily suggest an increase in usage. Further study in hot water usage and patterns is needed to better define these characteristics in different climates and home vintages.

  13. DOE Seeks Further Public Input on How Best To Streamline Existing...

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

    DOE Seeks Further Public Input on How Best To Streamline Existing Regulations December 7, 2011 - 12:34pm Addthis The Department of Energy (DOE) has announced a further step to...

  14. Lessons Learned in Optimizing Workers' and Worker Representatives' Input to Work Planning and Control

    Broader source: Energy.gov [DOE]

    Slide Presentation by Tom McQuiston, Dr. P.H., United Steelworkers - Tony Mazzocchi Center for Health, Safety and Environmental Education. Lessons Learned in Optimizing Workers’ and Worker Representatives’ Input in Work Planning and Control.

  15. Tribes Provide Input on 10-Year Plan for Renewable Energy in the Arctic Region

    Broader source: Energy.gov [DOE]

    The DOE Office of Indian Energy hosted a second round of tribal consultations and outreach meetings throughout Alaska in February and March to gather input on the National Strategy for the Arctic Region (NSAR).

  16. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends...

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

    the Use of Advanced Biofuel Blends in Small Engines BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines June 22, 2015 - 4:39pm Addthis The U.S. ...

  17. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Broader source: Energy.gov [DOE]

    The study entitled, “Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input,” focuses on the issue of showing compliance with given...

  18. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION

    Office of Scientific and Technical Information (OSTI)

    FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS (Conference) | SciTech Connect HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS Citation Details In-Document Search Title: HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed

  19. First QER Report Incorporates Tribal Input on U.S. Transmission System

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

    Updates | Department of Energy First QER Report Incorporates Tribal Input on U.S. Transmission System Updates First QER Report Incorporates Tribal Input on U.S. Transmission System Updates April 23, 2015 - 1:16pm Addthis Affordable, clean, and secure energy and energy services are essential for improving U.S. economic productivity, enhancing quality of life, protecting the environment, and ensuring national security. To help the federal government meet these energy goals, President Obama

  20. USDA, Departments of Energy and Navy Seek Input from Industry to Advance

    Energy Savers [EERE]

    Biofuels for Military and Commercial Transportation | Department of Energy USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation USDA, Departments of Energy and Navy Seek Input from Industry to Advance Biofuels for Military and Commercial Transportation August 30, 2011 - 12:23pm Addthis WASHINGTON, Aug. 30, 2011 -Secretary of Agriculture Tom Vilsack, Secretary of Energy Steven Chu, and Secretary of the Navy Ray Mabus

  1. Microsoft Word - SmartGrid - NRC Input to DOE Requestrvjcomments.docx

    Office of Environmental Management (EM)

    Nuclear Regulatory Commission Input to DOE Request for Information/RFI (Federal Register / Vol. 75, No. 180 / Friday, September 17, 2010/Pages 57006-57011 / Notices) / Smart Grid Implementation Input - NRC Contact: Kenn A. Miller, Office of Nuclear Reactor Regulation, 301-415-3152 Comments relevant to the following two sections of the RFI: "Long Term Issues: Managing a Grid with High Penetration of New Technologies" and "Reliability and Cyber-Security," Page 57010. Nuclear

  2. Microsoft PowerPoint - OTT RFI Summary of Input_Public_Oct 2015

    Office of Environmental Management (EM)

    Input Request for Information DE-FOA-0001346 September 2015 Prepared for the Office of Technology Transitions and Technology Transfer Policy Board 1 Note: the views expressed in this document solely reflect the input received from the RFI respondents and do not necessarily represent DOE's perspective. 13 10 8 7 6 5 4 2 24% 18% 15% 13% 11% 9% 7% 4% 0 5 10 15 Industry National Labs Funding Contractors Academic Tech commercialization consultants Independent Research Organizations Other Number of

  3. Validation of an Integrated Hydrogen Energy Station

    SciTech Connect (OSTI)

    Edward C. Heydorn

    2012-10-26

    This report presents the results of a 10-year project conducted by Air Products and Chemicals, Inc. (Air Products) to determine the feasibility of coproducing hydrogen with electricity. The primary objective was to demonstrate the technical and economic viability of a hydrogen energy station using a high-temperature fuel cell designed to produce power and hydrogen. This four-phase project had intermediate go/no-go decisions and the following specific goals: • Complete a technical assessment and economic analysis of the use of high-temperature fuel cells, including solid oxide and molten carbonate, for the co-production of power and hydrogen (energy park concept). • Build on the experience gained at the Las Vegas H2 Energy Station and compare/contrast the two approaches for co-production. • Determine the applicability of co-production from a high-temperature fuel cell for the existing merchant hydrogen market and for the emerging hydrogen economy. • Demonstrate the concept on natural gas for six months at a suitable site with demand for both hydrogen and electricity. • Maintain safety as the top priority in the system design and operation. • Obtain adequate operational data to provide the basis for future commercial activities, including hydrogen fueling stations. Work began with the execution of the cooperative agreement with DOE on 30 September 2001. During Phase 1, Air Products identified high-temperature fuel cells as having the potential to meet the coproduction targets, and the molten carbonate fuel cell system from FuelCell Energy, Inc. (FuelCell Energy) was selected by Air Products and DOE following the feasibility assessment performed during Phase 2. Detailed design, construction and shop validation testing of a system to produce 250 kW of electricity and 100 kilograms per day of hydrogen, along with site selection to include a renewable feedstock for the fuel cell, were completed in Phase 3. The system also completed six months of demonstration operation at the wastewater treatment facility operated by Orange County Sanitation District (OCSD, Fountain Valley, CA). As part of achieving the objective of operating on a renewable feedstock, Air Products secured additional funding via an award from the California Air Resources Board. The South Coast Air Quality Management District also provided cost share which supported the objectives of this project. System operation at OCSD confirmed the results from shop validation testing performed during Phase 3. Hydrogen was produced at rates and purity that met the targets from the system design basis, and coproduction efficiency exceeded the 50% target set in conjunction with input from the DOE. Hydrogen production economics, updated from the Phase 2 analysis, showed pricing of $5 to $6 per kilogram of hydrogen using current gas purification systems. Hydrogen costs under $3 per kilogram are achievable if next-generation electrochemical separation technologies become available.

  4. PV Validation and Bankability Workshop | Department of Energy

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

    PV Validation and Bankability Workshop PV Validation and Bankability Workshop This presentation summarizes the information given by DOE during the Photovoltaic Validation and...

  5. ISOTHERMAL AIR INGRESS VALIDATION EXPERIMENTS

    SciTech Connect (OSTI)

    Chang H Oh; Eung S Kim

    2011-09-01

    Idaho National Laboratory carried out air ingress experiments as part of validating computational fluid dynamics (CFD) calculations. An isothermal test loop was designed and set to understand the stratified-flow phenomenon, which is important as the initial air flow into the lower plenum of the very high temperature gas cooled reactor (VHTR) when a large break loss-of-coolant accident occurs. The unique flow characteristics were focused on the VHTR air-ingress accident, in particular, the flow visualization of the stratified flow in the inlet pipe to the vessel lower plenum of the General Atomics Gas Turbine-Modular Helium Reactor (GT-MHR). Brine and sucrose were used as heavy fluids, and water was used to represent a light fluid, which mimics a counter current flow due to the density difference between the stimulant fluids. The density ratios were changed between 0.87 and 0.98. This experiment clearly showed that a stratified flow between simulant fluids was established even for very small density differences. The CFD calculations were compared with experimental data. A grid sensitivity study on CFD models was also performed using the Richardson extrapolation and the grid convergence index method for the numerical accuracy of CFD calculations . As a result, the calculated current speed showed very good agreement with the experimental data, indicating that the current CFD methods are suitable for predicting density gradient stratified flow phenomena in the air-ingress accident.

  6. Seismic Data Gathering and Validation

    SciTech Connect (OSTI)

    Coleman, Justin

    2015-02-01

    Three recent earthquakes in the last seven years have exceeded their design basis earthquake values (so it is implied that damage to SSCs should have occurred). These seismic events were recorded at North Anna (August 2011, detailed information provided in [Virginia Electric and Power Company Memo]), Fukushima Daichii and Daini (March 2011 [TEPCO 1]), and Kaswazaki-Kariwa (2007, [TEPCO 2]). However, seismic walk downs at some of these plants indicate that very little damage occurred to safety class systems and components due to the seismic motion. This report presents seismic data gathered for two of the three events mentioned above and recommends a path for using that data for two purposes. One purpose is to determine what margins exist in current industry standard seismic soil-structure interaction (SSI) tools. The second purpose is the use the data to validated seismic site response tools and SSI tools. The gathered data represents free field soil and in-structure acceleration time histories data. Gathered data also includes elastic and dynamic soil properties and structural drawings. Gathering data and comparing with existing models has potential to identify areas of uncertainty that should be removed from current seismic analysis and SPRA approaches. Removing uncertainty (to the extent possible) from SPRAs will allow NPP owners to make decisions on where to reduce risk. Once a realistic understanding of seismic response is established for a nuclear power plant (NPP) then decisions on needed protective measures, such as SI, can be made.

  7. FIMS Data Validation | Department of Energy

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

    Information Systems » FIMS Data Validation FIMS Data Validation FIMS Data Validation The Facility Information Management System (FIMS) is the Department's official repository of real property data. The Department relies on the FIMS data for real property decision-making and accounting of its $86B in assets. Maintaining accurate and credible data in FIMS is critical to efficient operations and resource planning. Department of Energy Order 430.1B Real Property Asset Management requires FIMS data

  8. Vehicle Technologies Office: Integration, Validation and Testing...

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

    Integration Laboratory to integrate, validate, and test advanced vehicle technologies. ... To integrate and test vehicle components and subsystems, DOE's national laboratories use ...

  9. Technical Demonstration and Economic Validation of Geothermal...

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

    Technical Demonstration and Economic Validation of Geothermal-Produced Electricity from Coproduced Water at Existing OilGas Wells in Texas Technical Demonstration and Economic ...

  10. Fuel Cell Backup Power Technology Validation (Presentation)

    SciTech Connect (OSTI)

    Kurtz, J.; Sprik, S.; Ramsden, T.; Saur, G.

    2012-10-01

    Presentation about fuel cell backup power technology validation activities at the U.S. Department of Energy's National Renewable Energy Laboratory.

  11. Reminder: Transmission Services Product Pricing Validation -...

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

    Teams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: Reminder: Transmission Services Product Pricing Validation This...

  12. Transmission Services Product Pricing Validation - September...

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

    Teams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: Transmission Services Product Pricing Validation On October 1,...

  13. TEG On-Vehicle Performance & Model Validation

    Broader source: Energy.gov [DOE]

    Details efforts and results of steady-state and transient models validated with bench, engine dynamometer, and on-vehicle tests to measure actual performance

  14. Validation of a Hot Water Distribution Model Using Laboratory and Field Data

    SciTech Connect (OSTI)

    Backman, C.; Hoeschele, M.

    2013-07-01

    Characterizing the performance of hot water distribution systems is a critical step in developing best practice guidelines for the design and installation of high performance hot water systems. Developing and validating simulation models is critical to this effort, as well as collecting accurate input data to drive the models. In this project, the Building America research team ARBI validated the newly developed TRNSYS Type 604 pipe model against both detailed laboratory and field distribution system performance data. Validation efforts indicate that the model performs very well in handling different pipe materials, insulation cases, and varying hot water load conditions. Limitations of the model include the complexity of setting up the input file and long simulation run times. This project also looked at recent field hot water studies to better understand use patterns and potential behavioral changes as homeowners convert from conventional storage water heaters to gas tankless units. The team concluded that the current Energy Factor test procedure overestimates typical use and underestimates the number of hot water draws, which has implications for both equipment and distribution system performance. Gas tankless water heaters were found to impact how people use hot water, but the data does not necessarily suggest an increase in usage. Further study in hot water usage and patterns is needed to better define these characteristics in different climates and home vintages.

  15. Input for solar annual merit review. (Conference) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Input for solar annual merit review. Citation Details In-Document Search Title: Input for solar annual merit review. Abstract not provided. Authors: Siegel, Nathan Phillip Publication Date: 2008-05-01 OSTI Identifier: 1145749 Report Number(s): SAND2008-3333C 518639 DOE Contract Number: DE-AC04-94AL85000 Resource Type: Conference Resource Relation: Conference: Solar annual merit review held April 21-24, 2008 in austin, TX.; Related Information: Proposed for presentation at the solar annual merit

  16. Probabilistic Density Function Method for Stochastic ODEs of Power Systems with Uncertain Power Input

    SciTech Connect (OSTI)

    Wang, Peng; Barajas-Solano, David A.; Constantinescu, Emil; Abhyankar, S.; Ghosh, Donetta L.; Smith, Barry; Huang, Zhenyu; Tartakovsky, Alexandre M.

    2015-09-22

    Wind and solar power generators are commonly described by a system of stochastic ordinary differential equations (SODEs) where random input parameters represent uncertainty in wind and solar energy. The existing methods for SODEs are mostly limited to delta-correlated random parameters (white noise). Here we use the Probability Density Function (PDF) method for deriving a closed-form deterministic partial differential equation (PDE) for the joint probability density function of the SODEs describing a power generator with time-correlated power input. The resulting PDE is solved numerically. A good agreement with Monte Carlo Simulations shows accuracy of the PDF method.

  17. ,"Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities"

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

    Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Sulfur Content, Weighted Average Refinery Crude Oil Input Qualities",16,"Monthly","12/2015","1/15/1985" ,"Release Date:","2/29/2016" ,"Next Release

  18. CASL-U-2015-0043-000 MPACT VERA Common Input User's Manual Benjamin Collins

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

    43-000 MPACT VERA Common Input User's Manual Benjamin Collins Oak Ridge National Laboratory Brendan Kochunas University of Michigan February 20, 2015 CASL-U-2015-0043-000 VERA Common Input User's Manual Version 2.0.0 February 20, 2015 CASL-U-2015-0043-000 2 Contributors (in alphabetical order) * Dr. Benjamin Collins (ORNL) * Prof. Thomas J. Downar (UM) * Dr. Jess Gehin (ORNL) * Andrew Godfrey (ORNL) * Aaron Graham (UM) * Daniel Jabaay (UM) * Blake Kelley (UM) * Dr. Kang Seog Kim (ORNL) * Dr.

  19. ,"Catalytic Reforming Downstream Processing of Fresh Feed Input"

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

    Catalytic Reforming Downstream Processing of Fresh Feed Input" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description","# Of Series","Frequency","Latest Data for" ,"Data 1","Catalytic Reforming Downstream Processing of Fresh Feed Input",16,"Monthly","12/2015","1/15/2010" ,"Release Date:","2/29/2016" ,"Next Release

  20. DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A

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

    PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE | Department of Energy DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE DEPARTMENT OF ENERGY SOLICITS PUBLIC INPUT TO INFORM DEVELOPMENT OF A PREFERRED ALTERNATIVE FOR DISPOSAL OF GREATER-THAN-CLASS C WASTE March 1, 2011 - 12:00pm Addthis During the months of April and May, 2011 the Department of Energy's Office of Environmental Management

  1. BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines |

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

    Department of Energy BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines BETO Seeks Stakeholder Input on the Co-Optimization of Fuels and Engines December 17, 2015 - 9:48am Addthis The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy's (EERE) Bioenergy Technologies Office (BETO) and Vehicle Technologies Office (VTO) have released a request for information (RFI) titled "Co-Optimization of Fuels and Engines" (Optima). BETO and VTO are

  2. BETO Seeks Stakeholder Input on the Use of Advanced Biofuel Blends in Small Engines

    Office of Energy Efficiency and Renewable Energy (EERE)

    The U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy’s Bioenergy Technologies Office has released a Request for Information (RFI) seeking stakeholder input on the following topics related to the use of advanced biofuel blends in small engines

  3. Summary, Attendee Input, and Day 1 Wrap Up | Department of Energy

    Energy Savers [EERE]

    Day 1 Wrap Up Summary, Attendee Input, and Day 1 Wrap Up Addthis Description Summary and wrap up of day 1 presentations and preview of day 2 by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office

  4. Summary, Attendee Input, and Final Day 2 Wrap up | Department of Energy

    Energy Savers [EERE]

    Final Day 2 Wrap up Summary, Attendee Input, and Final Day 2 Wrap up Addthis Description Summary and wrap up by DOE Integrated Safety Management Co-champions Patricia R. Worthington, HSS Director, Office of Health and Safety; and and Ray J. Corey, Assistant Manager for Safety and Environment, DOE Richland Operations Office of day 2 presentations and discussions

  5. Using Economic Input/Output Tables to Predict a Countrys Nuclear Status

    SciTech Connect (OSTI)

    Weimar, Mark R.; Daly, Don S.; Wood, Thomas W.

    2010-07-15

    Both nuclear power and nuclear weapons programs should have (related) economic signatures which are detectible at some scale. We evaluated this premise in a series of studies using national economic input/output (IO) data. Statistical discrimination models using economic IO tables predict with a high probability whether a country with an unknown predilection for nuclear weapons proliferation is in fact engaged in nuclear power development or nuclear weapons proliferation. We analyzed 93 IO tables, spanning the years 1993 to 2005 for 37 countries that are either members or associates of the Organization for Economic Cooperation and Development (OECD). The 2009 OECD input/output tables featured 48 industrial sectors based on International Standard Industrial Classification (ISIC) Revision 3, and described the respective economies in current country-of-origin valued currency. We converted and transformed these reported values to US 2005 dollars using appropriate exchange rates and implicit price deflators, and addressed discrepancies in reported industrial sectors across tables. We then classified countries with Random Forest using either the adjusted or industry-normalized values. Random Forest, a classification tree technique, separates and categorizes countries using a very small, select subset of the 2304 individual cells in the IO table. A nations efforts in nuclear power, be it for electricity or nuclear weapons, are an enterprise with a large economic footprint -- an effort so large that it should discernibly perturb coarse country-level economics data such as that found in yearly input-output economic tables. The neoclassical economic input-output model describes a countrys or regions economy in terms of the requirements of industries to produce the current level of economic output. An IO table row shows the distribution of an industrys output to the industrial sectors while a table column shows the input required of each industrial sector by a given industry.

  6. Validation experiment of a numerically processed millimeter-wave interferometer in a laboratory

    SciTech Connect (OSTI)

    Kogi, Y., E-mail: kogi@fit.ac.jp; Higashi, T.; Matsukawa, S. [Department of Information Electronics, Fukuoka Institute of Technology, Fukuoka 811-0295 (Japan); Mase, A. [Art, Science and Technology Center for Cooperative Research, Kyushu University, Kasuga, Fukuoka 816-0811 (Japan); Kohagura, J.; Yoshikawa, M. [Plasma Research Center, University of Tsukuba, Tsukuba, Ibaraki 305-8577 (Japan); Nagayama, Y.; Kawahata, K. [National Institute for Fusion Science, Toki, Gifu 509-5202 (Japan); Kuwahara, D. [Tokyo University of Agriculture and Technology, Koganei, Tokyo 184-8588 (Japan)

    2014-11-15

    We propose a new interferometer system for density profile measurements. This system produces multiple measurement chords by a leaky-wave antenna driven by multiple frequency inputs. The proposed system was validated in laboratory evaluation experiments. We confirmed that the interferometer generates a clear image of a Teflon plate as well as the phase shift corresponding to the plate thickness. In another experiment, we confirmed that quasi-optical mirrors can produce multiple measurement chords; however, the finite spot size of the probe beam degrades the sharpness of the resulting image.

  7. ARM - Field Campaign - AIRS Validation Sonde Support

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

    Validation Sonde Support ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Sonde Support 2003.11.01 - 2004.02.28 Lead Scientist : Ted Cress For data sets, see below. Abstract ARM conducted a special series of radiosonde launches in support of validation studies for the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's Aqua satellite (http://www-airs.jpl.nasa.gov). The AIRS

  8. ARM - Field Campaign - AIRS Validation Sonde Support

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

    govCampaignsAIRS Validation Sonde Support ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Sonde Support 2002.07.14 - 2002.11.30 Lead Scientist : Ted Cress For data sets, see below. Abstract ARM is conducting a special series of radiosonde launches in support of validation studies for the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's Aqua satellite

  9. ARM - Field Campaign - AIRS validation IOP

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

    validation IOP ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS validation IOP 2002.07.15 - 2002.10.31 Lead Scientist : Barry Lesht For data sets, see below. Abstract Additional radiosonde launches from Barrow were timed to coincide with overpasses of the Aqua satellite carrying the AIRS sensor for the purpose of providing in situ validation data for development and testing of AIRS water vapor

  10. Pre-Validated Signal Database Management System

    Energy Science and Technology Software Center (OSTI)

    1996-12-18

    SPRT/DBMS is a pre-validated experimental database management system for industries where large volumes of process signals are acquired and archived. This system implements a new and powerful pattern recognition method, the spectrum transformed sequential testing (STST or ST2) procedure. A network of interacting ST2 modules deployed in parallel is integrated with a relational DBMS to fully validate process signals as they are archived. This reliable, secure DBMS then provides system modelers, code developers, and safetymore » analysts with an easily accessible source of fully validated process data.« less

  11. A non-linear dimension reduction methodology for generating data-driven stochastic input models

    SciTech Connect (OSTI)

    Ganapathysubramanian, Baskar; Zabaras, Nicholas

    2008-06-20

    Stochastic analysis of random heterogeneous media (polycrystalline materials, porous media, functionally graded materials) provides information of significance only if realistic input models of the topology and property variations are used. This paper proposes a framework to construct such input stochastic models for the topology and thermal diffusivity variations in heterogeneous media using a data-driven strategy. Given a set of microstructure realizations (input samples) generated from given statistical information about the medium topology, the framework constructs a reduced-order stochastic representation of the thermal diffusivity. This problem of constructing a low-dimensional stochastic representation of property variations is analogous to the problem of manifold learning and parametric fitting of hyper-surfaces encountered in image processing and psychology. Denote by M the set of microstructures that satisfy the given experimental statistics. A non-linear dimension reduction strategy is utilized to map M to a low-dimensional region, A. We first show that M is a compact manifold embedded in a high-dimensional input space R{sup n}. An isometric mapping F from M to a low-dimensional, compact, connected set A is contained in R{sup d}(d<input in the solution of stochastic partial differential equations that describe the evolution of dependant variables. A sparse grid collocation strategy (Smolyak algorithm) is utilized to solve these stochastic equations efficiently. We showcase the methodology by constructing low-dimensional input stochastic models to represent thermal diffusivity in two-phase microstructures. This model is used in analyzing the effect of topological variations of two-phase microstructures on the evolution of temperature in heat conduction processes.

  12. Advanced Supply System Validation Workshop Agenda

    Broader source: Energy.gov [DOE]

    List of Assumptions and Draft Workshop Agenda for the Advanced Supply System Validation Workshop, February 3-4, 2014, Golden, Colorado, from the U.S. Department of Energy's Bioenergy Technologies Office.

  13. Biochemical Process Improvements & Synthetic Biology Validation...

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

    ... Laboratory (PNNL) 5) Texas AgriLife Research Partners Total Costs FY 10 -FY 12 FY 13 ... in each project's mid-award Stage Gate review (after intermediate validation) ...

  14. ARM - Field Campaign - Aerosol Lidar Validation Experiment -...

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

    govCampaignsAerosol Lidar Validation Experiment - ALIVE Campaign Links ALIVE Website ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below...

  15. Capital Equipment Validation Form | The Ames Laboratory

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

    Capital Equipment Validation Form Version Number: 2.0 Document Number: Form 48100.001 Effective Date: 022015 File (public): Office spreadsheet icon form48100.001rev2.xls...

  16. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has...

  17. ADOPT: A Historically Validated Light Duty Vehicle Consumer Choice Model

    SciTech Connect (OSTI)

    Brooker, A.; Gonder, J.; Lopp, S.; Ward, J.

    2015-05-04

    The Automotive Deployment Option Projection Tool (ADOPT) is a light-duty vehicle consumer choice and stock model supported by the U.S. Department of Energys Vehicle Technologies Office. It estimates technology improvement impacts on U.S. light-duty vehicles sales, petroleum use, and greenhouse gas emissions. ADOPT uses techniques from the multinomial logit method and the mixed logit method estimate sales. Specifically, it estimates sales based on the weighted value of key attributes including vehicle price, fuel cost, acceleration, range and usable volume. The average importance of several attributes changes nonlinearly across its range and changes with income. For several attributes, a distribution of importance around the average value is used to represent consumer heterogeneity. The majority of existing vehicle makes, models, and trims are included to fully represent the market. The Corporate Average Fuel Economy regulations are enforced. The sales feed into the ADOPT stock model. It captures key aspects for summing petroleum use and greenhouse gas emissions This includes capturing the change in vehicle miles traveled by vehicle age, the creation of new model options based on the success of existing vehicles, new vehicle option introduction rate limits, and survival rates by vehicle age. ADOPT has been extensively validated with historical sales data. It matches in key dimensions including sales by fuel economy, acceleration, price, vehicle size class, and powertrain across multiple years. A graphical user interface provides easy and efficient use. It manages the inputs, simulation, and results.

  18. Method for guessing the response of a physical system to an arbitrary input

    DOE Patents [OSTI]

    Wolpert, David H.

    1996-01-01

    Stacked generalization is used to minimize the generalization errors of one or more generalizers acting on a known set of input values and output values representing a physical manifestation and a transformation of that manifestation, e.g., hand-written characters to ASCII characters, spoken speech to computer command, etc. Stacked generalization acts to deduce the biases of the generalizer(s) with respect to a known learning set and then correct for those biases. This deduction proceeds by generalizing in a second space whose inputs are the guesses of the original generalizers when taught with part of the learning set and trying to guess the rest of it, and whose output is the correct guess. Stacked generalization can be used to combine multiple generalizers or to provide a correction to a guess from a single generalizer.

  19. U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet)

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

    Input Supplemental Fuels (Million Cubic Feet) U.S. Natural Gas Input Supplemental Fuels (Million Cubic Feet) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 1980's 154,590 175,702 144,811 131,894 109,977 126,363 113,189 101,382 101,134 106,745 1990's 122,806 112,606 117,919 118,999 110,826 110,290 109,455 103,153 102,189 98,249 2000's 90,000 86,312 67,980 67,706 60,365 63,691 66,058 63,132 60,889 65,259 2010's 64,575 60,088 61,366 54,650 59,528 59,693 - = No Data

  20. Steering and focusing effects in TESLA cavity due to high order mode and input couplers

    SciTech Connect (OSTI)

    Piot, P.; /Fermilab; Dohlus, M.; Flottmann, K.; Marx, M.; Wipf, S.G.; /DESY

    2005-05-01

    Many state-of-art electron accelerator proposals incorporate TESLA-type superconducting radio-frequency (rf) cavities [1]. These standing wave rf cavities include rf input couplers and a pair of high order mode (HOM) couplers to absorb the energy associated to HOM field excited as the bunch passes through the cavity. In the present paper we investigate, using numerical simulations, the impact of the input and HOM couplers on the beam dynamics to zeroth and first order in initial position, and present parametric studies of the strength of these effects for various incoming beam energies. We finally study the impact of this asymmetric field on the beam dynamics, taking as an example the low energy section of the X-ray FEL injector.

  1. Method and apparatus for smart battery charging including a plurality of controllers each monitoring input variables

    DOE Patents [OSTI]

    Hammerstrom, Donald J.

    2013-10-15

    A method for managing the charging and discharging of batteries wherein at least one battery is connected to a battery charger, the battery charger is connected to a power supply. A plurality of controllers in communication with one and another are provided, each of the controllers monitoring a subset of input variables. A set of charging constraints may then generated for each controller as a function of the subset of input variables. A set of objectives for each controller may also be generated. A preferred charge rate for each controller is generated as a function of either the set of objectives, the charging constraints, or both, using an algorithm that accounts for each of the preferred charge rates for each of the controllers and/or that does not violate any of the charging constraints. A current flow between the battery and the battery charger is then provided at the actual charge rate.

  2. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  3. Hydrogen Vehicle and Infrastructure Demonstration and Validation |

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

    Department of Energy Vehicle and Infrastructure Demonstration and Validation Hydrogen Vehicle and Infrastructure Demonstration and Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon tv_05_sell.pdf More Documents & Publications Vehicle Technologies Office Merit Review 2014: Accelerating Alternatives for Minnesota Drivers HYDROGEN TO THE HIGHWAYS Lean Gasoline System Development

  4. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  5. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  6. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Print In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent neutralizing antibodies. The results were validated in part using protein structures

  7. Validating Computer-Designed Proteins for Vaccines

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

    Validating Computer-Designed Proteins for Vaccines Validating Computer-Designed Proteins for Vaccines Print Thursday, 21 August 2014 12:05 In the struggle to keep up with microbes whose rapid mutations outpace our ability to produce vaccines, the human race has a powerful ally: computers. Researchers have now figured out a way to use computational protein design to generate small, stable proteins that accurately mimic key viral structures; these can then be used in vaccines to induce potent

  8. Recycling Technology Validation | Department of Energy

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

    Technology Validation Recycling Technology Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon lm_30_pomykala.pdf More Documents & Publications Overview of Recycling Technology R&D Post-Shred Materials Recovery Technology Development and Demonstration Cool Trends on Campus: A Survey of Thermal Energy Storage Use in Campus District Energy Systems, May 2005

  9. Validated SCR Concept Development | Department of Energy

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

    Validated SCR Concept Development Validated SCR Concept Development Poster presentation at the 2007 Diesel Engine-Efficiency & Emissions Research Conference (DEER 2007). 13-16 August, 2007, Detroit, Michigan. Sponsored by the U.S. Department of Energy's (DOE) Office of FreedomCAR and Vehicle Technologies (OFCVT). PDF icon deer07_kraemer.pdf More Documents & Publications SCR Technologies for NOx Reduction Development of a Dynamic DOE Calibration Model Vehicular Applications of

  10. Vehicle Model Validation | Department of Energy

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

    Model Validation Vehicle Model Validation 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon vssp_17_rousseau.pdf More Documents & Publications Vehicle Technologies Office: 2008 Advanced Vehicle Technology Analysis and Evaluation Activities and Heavy Vehicle Systems Optimization Program Annual Progress Report Autonomie Plug&Play Software Architecture Vehicle Technologies Office: 2009

  11. Reviews and Validations | Department of Energy

    Energy Savers [EERE]

    Services » Project Management » Reviews and Validations Reviews and Validations External Independent Review (EIR) Procedures Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital Assets, the Office of Acquisition and Project Management (OAPM) must perform a Performance Baseline External Independent Review (EIR) prior to Critical Decision (CD) 2, and a Construction/Execution Readiness EIR for all Major System projects prior to CD-3. The EIR Standard Operating

  12. Reviews and Validations | Department of Energy

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

    Reviews and Validations Reviews and Validations External Independent Review (EIR) Procedures Under DOE O 413.3B, Program and Project Management for the Acquisition of Capital Assets, the Office of Acquisition and Project Management (OAPM) must perform a Performance Baseline External Independent Review (EIR) prior to Critical Decision (CD) 2, and a Construction/Execution Readiness EIR for all Major System projects prior to CD-3. The EIR Standard Operating Procedures (SOP) discuss all elements of

  13. BETO Seeks Stakeholder Input on Achieving High Yields from Algal Feedstocks

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

    | Department of Energy Bioenergy Technologies Office (BETO) has released a Request for Information (RFI) titled "High Yields through Productivity and Integration Research." BETO is seeking input from industry, academia, and other stakeholders regarding supply systems and services for the cultivation, logistics, and preprocessing of algal feedstocks. This RFI provides algae stakeholders with an opportunity to contribute their views on the requirements necessary to develop reliable

  14. High-Frequency Matrix Converter with Square Wave Input - Energy Innovation

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

    Portal Solar Photovoltaic Solar Photovoltaic Geothermal Geothermal Energy Storage Energy Storage Electricity Transmission Electricity Transmission Find More Like This Return to Search High-Frequency Matrix Converter with Square Wave Input DOE Grant Recipients Contact GRANT About This Technology Publications: PDF Document Publication 8995159.pdf (1,648 KB) Technology Marketing Summary As the use of renewable energy sources increase, there is an increasing need for power converters capable of

  15. 2012 Congestion Study Webinars to Present Preliminary Findings and Receive Input from Stakeholders

    Broader source: Energy.gov [DOE]

    The Department of Energy will host three webinars in August 2012 to present the preliminary findings of the 2012 National Electric Transmission Congestion Study and to receive input and suggestions from state officials, industry representatives, and other stakeholders. Two of the webinars will be designed to discuss with state officials the initial findings of the DOE 2012 congestion analysis. The third webinar will be for industry representatives and other interested parties, although stakeholders may dial into any of the three meetings.

  16. Table A31. Total Inputs of Energy for Heat, Power, and Electricity Generation

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)",,,,"Value of Shipments and Receipts(b)" ,,,," (million dollars)" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," ","

  17. Table A45. Total Inputs of Energy for Heat, Power, and Electricity Generation

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Enclosed Floorspace, Percent Conditioned Floorspace, and Presence of Computer" " Controls for Building Environment, 1991" " (Estimates in Trillion Btu)" ,,"Presence of Computer Controls" ,," for Buildings Environment",,"RSE" "Enclosed Floorspace and"," ","--------------","--------------","Row" "Percent

  18. Table A41. Total Inputs of Energy for Heat, Power, and Electricity

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

    A41. Total Inputs of Energy for Heat, Power, and Electricity" " Generation by Census Region, Industry Group, Selected Industries, and Type of" " Energy Management Program, 1991" " (Estimates in Trillion Btu)" ,,," Census Region",,,,"RSE" "SIC","Industry Groups",," -------------------------------------------",,,,"Row" "Code(a)","and

  19. Table A50. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    A50. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Census Region, Industry Group, Selected Industries, and Type of" " Energy-Management Program, 1994" " (Estimates in Trillion Btu)" ,,,," Census Region",,,"RSE" "SIC",,,,,,,"Row" "Code(a)","Industry Group and

  20. Table A52. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    2. Total Inputs of Energy for Heat, Power, and Electricity Generation by Employment Size" " Categories and Presence of General Technologies and Cogeneration Technologies, 1994" " (Estimates in Trillion Btu)" ,,,,"Employment Size(a)" ,,,,,,,,"RSE" ,,,,,,,"1000 and","Row" "General/Cogeneration Technologies","Total","Under

  1. Table A55. Number of Establishments by Total Inputs of Energy for Heat, Powe

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of Cogeneration Technologies, 1994: Part 2" ,,,"Steam Turbines",,,,"Steam Turbines" ,," ","Supplied by Either","Conventional",,,"Supplied by","One or More",," " " "," ",,"Conventional","Combustion

  2. A New Ensemble of Perturbed-Input-Parameter Simulations by the Community Atmosphere Model

    SciTech Connect (OSTI)

    Covey, C; Brandon, S; Bremer, P T; Domyancis, D; Garaizar, X; Johannesson, G; Klein, R; Klein, S A; Lucas, D D; Tannahill, J; Zhang, Y

    2011-10-27

    Uncertainty quantification (UQ) is a fundamental challenge in the numerical simulation of Earth's weather and climate, and other complex systems. It entails much more than attaching defensible error bars to predictions: in particular it includes assessing low-probability but high-consequence events. To achieve these goals with models containing a large number of uncertain input parameters, structural uncertainties, etc., raw computational power is needed. An automated, self-adapting search of the possible model configurations is also useful. Our UQ initiative at the Lawrence Livermore National Laboratory has produced the most extensive set to date of simulations from the US Community Atmosphere Model. We are examining output from about 3,000 twelve-year climate simulations generated with a specialized UQ software framework, and assessing the model's accuracy as a function of 21 to 28 uncertain input parameter values. Most of the input parameters we vary are related to the boundary layer, clouds, and other sub-grid scale processes. Our simulations prescribe surface boundary conditions (sea surface temperatures and sea ice amounts) to match recent observations. Fully searching this 21+ dimensional space is impossible, but sensitivity and ranking algorithms can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination. Bayesian statistical constraints, employing a variety of climate observations as metrics, also seem promising. Observational constraints will be important in the next step of our project, which will compute sea surface temperatures and sea ice interactively, and will study climate change due to increasing atmospheric carbon dioxide.

  3. SPP Staff appreciates the opportunity to provide input regarding the Draft Conge

    Energy Savers [EERE]

    SPP Staff appreciates the opportunity to provide input regarding the Draft Congestion Study. The following remarks have not been vetted with SPP members, and do not represent any approved official remarks on behalf of SPP's members. Given the long lead times to get EHV transmission approved and constructed, DOE Congestion Studies need to look beyond 3-5 year horizons. DOE assessments regarding congestion need to go beyond reporting historical data and summarizing regional studies to reflect

  4. Assessment of the Value, Impact, and Validity of the Jobs and Economic Development Impacts (JEDI) Suite of Models

    SciTech Connect (OSTI)

    Billman, L.; Keyser, D.

    2013-08-01

    The Jobs and Economic Development Impacts (JEDI) models, developed by the National Renewable Energy Laboratory (NREL) for the U.S. Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy (EERE), use input-output methodology to estimate gross (not net) jobs and economic impacts of building and operating selected types of renewable electricity generation and fuel plants. This analysis provides the DOE with an assessment of the value, impact, and validity of the JEDI suite of models. While the models produce estimates of jobs, earnings, and economic output, this analysis focuses only on jobs estimates. This validation report includes an introduction to JEDI models, an analysis of the value and impact of the JEDI models, and an analysis of the validity of job estimates generated by JEDI model through comparison to other modeled estimates and comparison to empirical, observed jobs data as reported or estimated for a commercial project, a state, or a region.

  5. Validation procedures used in the Background Soil Characterization Project on the Oak Ridge Reservation, Oak Ridge, Tennessee. Environmental Restoration Program

    SciTech Connect (OSTI)

    Not Available

    1993-12-01

    The purpose of this report is (1) to document the data validation process developed for the Background Soil Characterization Project (BSCP); (2) to offer members of other project teams and potential data users the benefit of the experience gained in the BSCP in the area of developing project-specific data validation criteria and procedures based on best available guidance and technical information; and (3) to provide input and guidance to the efforts under way within Martin Marietta Energy Systems, Inc., to develop standard operating procedures to streamline and optimize the analytical laboratory data validation process for general use by making it more technically rigorous, consistent, and cost effective. Lessons learned from the BSCP are also provided to meet this end (Sect. 1.3).

  6. MCNP5 CRITICALITY VALIDATION AND BIAS FOR INTERMEDIATE ENRICHED URANIUM SYSTEMS

    SciTech Connect (OSTI)

    FINFROCK SH

    2009-12-10

    The purpose of this analysis is to validate the Monte Carlo N-Particle 5 (MCNP5) code Version 1.40 (LA-UR-03-1987, 2005) and its cross-section database for k-code calculations of intermediate enriched uranium systems on INTEL{reg_sign} processor based PC's running any version of the WINDOWS operating system. Configurations with intermediate enriched uranium were modeled with the moderator range of 39 {le} H/Fissile {le} 1438. See Table 2-1 for brief descriptions of selected cases and Table 3-1 for the range of applicability for this validation. A total of 167 input cases were evaluated including bare and reflected systems in a single body or arrays. The 167 cases were taken directly from the previous (Version 4C [Lan 2005]) validation database. Section 2.0 list data used to calculate k-effective (k{sub eff}) for the 167 experimental criticality benchmark cases using the MCNP5 code v1.40 and its cross section database. Appendix B lists the MCNP cross-section database entries validated for use in evaluating the intermediate enriched uranium systems for criticality safety. The dimensions and atom densities for the intermediate enriched uranium experiments were taken from NEA/NSC/DOC(95)03, September 2005, which will be referred to as the benchmark handbook throughout the report. For these input values, the experimental benchmark k{sub eff} is approximately 1.0. The MCNP validation computer runs ran to an accuracy of approximately {+-} 0.001. For the cases where the reported benchmark k{sub eff} was not equal to 1.0000 the MCNP calculational results were normalized. The difference between the MCNP validation computer runs and the experimentally measured k{sub eff} is the MCNP5 v1.40 bias. The USLSTATS code (ORNL 1998) was utilized to perform the statistical analysis and generate an acceptable maximum k{sub eff} limit for calculations of the intermediate enriched uranium type systems.

  7. Design, Modeling, and Validation of a Flame Reformer for LNT...

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

    Design, Modeling, and Validation of a Flame Reformer for LNT External Bypass Regeneration Design, Modeling, and Validation of a Flame Reformer for LNT External Bypass Regeneration ...

  8. Testing and Validation of Vehicle to Grid Communication Standards...

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

    and Validation of Vehicle to Grid Communication Standards Testing and Validation of Vehicle to Grid Communication Standards 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle ...

  9. Battery Pack Requirements and Targets Validation FY 2009 DOE...

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

    Battery Pack Requirements and Targets Validation FY 2009 DOE Vehicle Technologies Program Battery Pack Requirements and Targets Validation FY 2009 DOE Vehicle Technologies Program...

  10. Impact of Battery Management on Fuel Efficiency Validity | Department...

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

    More Documents & Publications HEV, PHEV, EV Test Standard Development and Validation HEV, PHEV, BEV Test Standard Validation Advanced Technology Vehicle Lab Benchmarking - Level 2 ...

  11. On the validation of seismic imaging methods: Finite frequency...

    Office of Scientific and Technical Information (OSTI)

    On the validation of seismic imaging methods: Finite frequency or ray theory? Citation Details In-Document Search Title: On the validation of seismic imaging methods: Finite ...

  12. Validation of Hydrogen Exchange Methodology on Molecular Sieves...

    Office of Environmental Management (EM)

    Validation of Hydrogen Exchange Methodology on Molecular Sieves for Tritium Removal from Contaminated Water Validation of Hydrogen Exchange Methodology on Molecular Sieves for...

  13. Optical Measurement Methods used in Calibration and Validation...

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

    and Validation of Modeled Injection Spray Characteristics Optical Measurement Methods used in Calibration and Validation of Modeled Injection Spray Characteristics Poster ...

  14. Widget:TwitterHandleValidate | Open Energy Information

    Open Energy Info (EERE)

    common copy + paste errors, and alerting the user if the format is not a valid Twitter handle. Parameters include: fieldname - the field to validate (optional, default:...

  15. Fact Sheet: Energy Storage Testing and Validation (October 2012...

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

    Testing and Validation (October 2012) Fact Sheet: Energy Storage Testing and Validation (October 2012) At Sandia National Laboratories, the Energy Storage Analysis Laboratory, in ...

  16. Methods to Register Models and Input/Output Parameters for Integrated Modeling

    SciTech Connect (OSTI)

    Droppo, James G.; Whelan, Gene; Tryby, Michael E.; Pelton, Mitchell A.; Taira, Randal Y.; Dorow, Kevin E.

    2010-07-10

    Significant resources can be required when constructing integrated modeling systems. In a typical application, components (e.g., models and databases) created by different developers are assimilated, requiring the frameworks functionality to bridge the gap between the users knowledge of the components being linked. The framework, therefore, needs the capability to assimilate a wide range of model-specific input/output requirements as well as their associated assumptions and constraints. The process of assimilating such disparate components into an integrated modeling framework varies in complexity and difficulty. Several factors influence the relative ease of assimilating components, including, but not limited to, familiarity with the components being assimilated, familiarity with the framework and its tools that support the assimilation process, level of documentation associated with the components and the framework, and design structure of the components and framework. This initial effort reviews different approaches for assimilating models and their model-specific input/output requirements: 1) modifying component models to directly communicate with the framework (i.e., through an Application Programming Interface), 2) developing model-specific external wrappers such that no component model modifications are required, 3) using parsing tools to visually map pre-existing input/output files, and 4) describing and linking models as dynamic link libraries. Most of these approaches are illustrated using the widely distributed modeling system called Framework for Risk Analysis in Multimedia Environmental Systems (FRAMES). The review concludes that each has its strengths and weakness, the factors that determine which approaches work best in a given application.

  17. Procedure for developing biological input for the design, location, or modification of water-intake structures

    SciTech Connect (OSTI)

    Neitzel, D.A.; McKenzie, D.H.

    1981-12-01

    To minimize adverse impact on aquatic ecosystems resulting from the operation of water intake structures, design engineers must have relevant information on the behavior, physiology and ecology of local fish and shellfish. Identification of stimulus/response relationships and the environmental factors that influence them is the first step in incorporating biological information in the design, location or modification of water intake structures. A procedure is presented in this document for providing biological input to engineers who are designing, locating or modifying a water intake structure. The authors discuss sources of stimuli at water intakes, historical approaches in assessing potential/actual impact and review biological information needed for intake design.

  18. Multi-input and binary reproducible, high bandwidth floating point adder in a collective network

    DOE Patents [OSTI]

    Chen, Dong; Eisley, Noel A; Heidelberger, Philip; Steinmacher-Burow, Burkhard

    2015-03-10

    To add floating point numbers in a parallel computing system, a collective logic device receives the floating point numbers from computing nodes. The collective logic devices converts the floating point numbers to integer numbers. The collective logic device adds the integer numbers and generating a summation of the integer numbers. The collective logic device converts the summation to a floating point number. The collective logic device performs the receiving, the converting the floating point numbers, the adding, the generating and the converting the summation in one pass. One pass indicates that the computing nodes send inputs only once to the collective logic device and receive outputs only once from the collective logic device.

  19. Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries: Evaluation for Regulatory Input

    Office of Environmental Management (EM)

    :14 Report number: 2013:14 ISSN: 2000-0456 Available at www.stralsakerhetsmyndigheten.se Approaches used for Clearance of Lands from Nuclear Facilities among Several Countries Evaluation for Regulatory Input Robert A. Meck Author: SSM perspektiv SSM har nyligen beslutat om föreskrifter om friklassning av material, loka- ler, byggnader och mark vid verksamhet med joniserande strålning (SSMFS 201 1:2). Föreskrifterna innehåller bland annat krav på att tillståndshavare, vid avveckling av

  20. Table A15. Total Inputs of Energy for Heat, Power, and Electricity Generation

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Value of Shipment Categories, Industry Group, and Selected Industries, 1994" " (Estimates in Trillion Btu)" ,,,," Value of Shipments and Receipts(b)" ,,,," "," (million dollars)" ,,,,,,,,,"RSE" "SIC"," "," "," "," "," "," "," ",500,"Row" "Code(a)","Industry

  1. Table A34. Total Inputs of Energy for Heat, Power, and Electricity Generation

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

    Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Employment Size Categories, Industry Group, and Selected Industries, 1991" " (Continued)" " (Estimates in Trillion Btu)" ,,,,,"Employment Size" ,,,"-","-","-","-","-","-","RSE" "SIC"," "," "," "," "," "," ",,"1,000","Row"

  2. Table A10. Total Inputs of Energy for Heat, Power, and Electricity Generatio

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

    0. Total Inputs of Energy for Heat, Power, and Electricity Generation" " by Fuel Type, Industry Group, Selected Industries, and End Use, 1994:" " Part 2" " (Estimates in Trillion Btu)" ,,,,,"Distillate",,,"Coal" ,,,,,"Fuel Oil",,,"(excluding",,"RSE" "SIC",,,"Net","Residual","and Diesel",,,"Coal Coke",,"Row" "Code(a)","End-Use

  3. Table A13. Selected Combustible Inputs of Energy for Heat, Power, and

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

    3. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type," " Census Region, Census Division, and End Use, 1994: Part 1" " (Estimates in Btu or Physical Units)" ,,,,,,"Coal" ,,,"Distillate",,,"(excluding" ,"Net Demand",,"Fuel Oil",,,"Coal Coke" ,"for","Residual","and","Natural

  4. Table A39. Selected Combustible Inputs of Energy for Heat, Power, and

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

    9. Selected Combustible Inputs of Energy for Heat, Power, and" " Electricity Generation and Net Demand for Electricity by Fuel Type, Census" " Region, and End Use, 1991: Part 2" " (Estimates in Trillion Btu)" ,,,"Distillate",,,"Coal" ,"Net Demand",,"Fuel Oil",,,"(excluding","RSE" ,"for","Residual","and",,,"Coal Coke","Row" "End-Use

  5. Table A54. Number of Establishments by Total Inputs of Energy for Heat, Powe

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

    Number of Establishments by Total Inputs of Energy for Heat, Power, and Electricity Generation," " by Industry Group, Selected Industries, and" " Presence of General Technologies, 1994: Part 2" ,," "," ",," "," ",," "," "," "," " ,,,,"Computer Control" ,," "," ","of Processes"," "," ",," "," ",," "

  6. RELAP5/MOD3 code manual: User`s guide and input requirements. Volume 2

    SciTech Connect (OSTI)

    1995-08-01

    The RELAP5 code has been developed for best estimate transient simulation of light water reactor coolant systems during postulated accidents. The code models the coupled behavior of the reactor coolant system and the core for loss-of-coolant accidents, and operational transients, such as anticipated transient without scram, loss of offsite power, loss of feedwater, and loss of flow. A generic modeling approach is used that permits simulating a variety of thermal hydraulic systems. Control system and secondary system components are included to permit modeling of plant controls, turbines, condensers, and secondary feedwater systems. Volume II contains detailed instructions for code application and input data preparation.

  7. Summary of Input to DOE Request for Information DE-PS36-08GO38002

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

    (Presentation) | Department of Energy PS36-08GO38002 (Presentation) Summary of Input to DOE Request for Information DE-PS36-08GO38002 (Presentation) Presented at the DOE Fuel Cell Pre-Solicitation Workshop held January 23-24, 2008 in Golden, Colorado. PDF icon fuelcell_pre-solicitation_wkshop_jan08_peterson.pdf More Documents & Publications Greenpower Trap Mufflerl System BILIWG: Consistent "Figures of Merit" (Presentation) Heating Ventilation and Air Conditioning Effic

  8. Validation Data Plan Implementation: Subcooled Flow Boiling

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

    Validation Data Plan Implementation: Subcooled Flow Boiling Case Study Anh Bui and Nam Dinh Idaho National Laboratory September 28, 2012 CASL-U-2012-0162-000 CASL-U-2012-0162-000 Subcooled Flow Boiling Case Study INL-MIS-12-27303 1 INL/MIS-12-27303 September 2012 Validation Data Plan Implementation: Subcooled Flow Boiling Case Study Anh Bui Nam Dinh CASL-U-2012-0162-000 Subcooled Flow Boiling Case Study INL-MIS-12-27303 2 ABSTRACT This report presents a step forward in the development and

  9. ARM - Field Campaign - AIRS Validation Sonde Support

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

    Sonde Support ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Sonde Support 2002.07.14 - 2002.11.30 Lead Scientist : Ted Cress For data sets, see below. Abstract Additional radiosonde launches from Barrow are timed to coincide with overpasses of the Aqua satellite carrying the AIRS sensor for the purpose of providing in situ validation data for development and testing of AIRS water vapor

  10. Validation of the Hot Strip Mill Model

    SciTech Connect (OSTI)

    Richard Shulkosky; David Rosberg; Jerrud Chapman

    2005-03-30

    The Hot Strip Mill Model (HSMM) is an off-line, PC based software originally developed by the University of British Columbia (UBC) and the National Institute of Standards and Technology (NIST) under the AISI/DOE Advanced Process Control Program. The HSMM was developed to predict the temperatures, deformations, microstructure evolution and mechanical properties of steel strip or plate rolled in a hot mill. INTEG process group inc. undertook the current task of enhancing and validating the technology. With the support of 5 North American steel producers, INTEG process group tested and validated the model using actual operating data from the steel plants and enhanced the model to improve prediction results.

  11. Marketing Plan for Demonstration and Validation Assets

    SciTech Connect (OSTI)

    2008-05-30

    The National Security Preparedness Project (NSPP), is to be sustained by various programs, including technology demonstration and evaluation (DEMVAL). This project assists companies in developing technologies under the National Security Technology Incubator program (NSTI) through demonstration and validation of technologies applicable to national security created by incubators and other sources. The NSPP also will support the creation of an integrated demonstration and validation environment. This report documents the DEMVAL marketing and visibility plan, which will focus on collecting information about, and expanding the visibility of, DEMVAL assets serving businesses with national security technology applications in southern New Mexico.

  12. Input-independent, Scalable and Fast String Matching on the Cray XMT

    SciTech Connect (OSTI)

    Villa, Oreste; Chavarra-Miranda, Daniel; Maschhoff, Kristyn J.

    2009-05-25

    String searching is at the core of many security and network applications like search engines, intrusion detection systems, virus scanners and spam ?lters. The growing size of on-line content and the increasing wire speeds push the need for fast, and often real- time, string searching solutions. For these conditions, many software implementations (if not all) targeting conventional cache-based microprocessors do not perform well. They either exhibit overall low performance or exhibit highly variable performance depending on the types of inputs. For this reason, real-time state of the art solutions rely on the use of either custom hardware or Field-Programmable Gate Arrays (FPGAs) at the expense of overall system ?exibility and programmability. This paper presents a software based implementation of the Aho-Corasick string searching algorithm on the Cray XMT multithreaded shared memory machine. Our so- lution relies on the particular features of the XMT architecture and on several algorith- mic strategies: it is fast, scalable and its performance is virtually content-independent. On a 128-processor Cray XMT, it reaches a scanning speed of ? 28 Gbps with a performance variability below 10 %. In the 10 Gbps performance range, variability is below 2.5%. By comparison, an Intel dual-socket, 8-core system running at 2.66 GHz achieves a peak performance which varies from 500 Mbps to 10 Gbps depending on the type of input and dictionary size.

  13. REMSView Validation Application- Version 3.1

    Broader source: Energy.gov [DOE]

    The REMSView 3.1 Validation Application has been updated as of 3/9/2010. The application is a Java application and can be run on any computer system that can run Java. The interface is a standard windows format.

  14. RELAP-7 SOFTWARE VERIFICATION AND VALIDATION PLAN

    SciTech Connect (OSTI)

    Smith, Curtis L; Choi, Yong-Joon; Zou, Ling

    2014-09-01

    This INL plan comprehensively describes the software for RELAP-7 and documents the software, interface, and software design requirements for the application. The plan also describes the testing-based software verification and validation (SV&V) processa set of specially designed software models used to test RELAP-7.

  15. Verification & Validation | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Verification & Validation | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo Gallery Jobs Apply for Our Jobs Our Jobs

  16. Experiments for foam model development and validation.

    SciTech Connect (OSTI)

    Bourdon, Christopher Jay; Cote, Raymond O.; Moffat, Harry K.; Grillet, Anne Mary; Mahoney, James F.; Russick, Edward Mark; Adolf, Douglas Brian; Rao, Rekha Ranjana; Thompson, Kyle Richard; Kraynik, Andrew Michael; Castaneda, Jaime N.; Brotherton, Christopher M.; Mondy, Lisa Ann; Gorby, Allen D.

    2008-09-01

    A series of experiments has been performed to allow observation of the foaming process and the collection of temperature, rise rate, and microstructural data. Microfocus video is used in conjunction with particle image velocimetry (PIV) to elucidate the boundary condition at the wall. Rheology, reaction kinetics and density measurements complement the flow visualization. X-ray computed tomography (CT) is used to examine the cured foams to determine density gradients. These data provide input to a continuum level finite element model of the blowing process.

  17. EO 13690 (2015): Establishing a Federal Flood Risk Management Standard and a Process for Further Soliciting and Considering Stakeholder Input

    Broader source: Energy.gov [DOE]

    Executive Order (E.O.) 13690, Establishing a Federal Flood Risk Management Standard [FFRMS] and a Process for Further Soliciting and Considering Stakeholder Input (2015) amends E.O. 11988,...

  18. Computer code input for thermal hydraulic analysis of Multi-Function Waste Tank Facility Title II design

    SciTech Connect (OSTI)

    Cramer, E.R.

    1994-10-01

    The input files to the P/Thermal computer code are documented for the thermal hydraulic analysis of the Multi-Function Waste Tank Facility Title II design analysis.

  19. HEAT INPUT AND POST WELD HEAT TREATMENT EFFECTS ON REDUCED-ACTIVATION FERRITIC/MARTENSITIC STEEL FRICTION STIR WELDS

    SciTech Connect (OSTI)

    Tang, Wei; Chen, Gaoqiang; Chen, Jian; Yu, Xinghua; Frederick, David Alan; Feng, Zhili

    2015-01-01

    Reduced-activation ferritic/martensitic (RAFM) steels are an important class of structural materials for fusion reactor internals developed in recent years because of their improved irradiation resistance. However, they can suffer from welding induced property degradations. In this paper, a solid phase joining technology friction stir welding (FSW) was adopted to join a RAFM steel Eurofer 97 and different FSW parameters/heat input were chosen to produce welds. FSW response parameters, joint microstructures and microhardness were investigated to reveal relationships among welding heat input, weld structure characterization and mechanical properties. In general, FSW heat input results in high hardness inside the stir zone mostly due to a martensitic transformation. It is possible to produce friction stir welds similar to but not with exactly the same base metal hardness when using low power input because of other hardening mechanisms. Further, post weld heat treatment (PWHT) is a very effective way to reduce FSW stir zone hardness values.

  20. Visualizations, Screen Shots, and Data Input Files from VisIT

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

    VisIt is a free interactive parallel visualization and graphical analysis tool for viewing scientific data on Unix and PC platforms. Users can quickly generate visualizations from their data, animate them through time, manipulate them, and save the resulting images for presentations. VisIt contains a rich set of visualization features so that you can view your data in a variety of ways. It can be used to visualize scalar and vector fields defined on two- and three-dimensional (2D and 3D) structured and unstructured meshes. VisIt was designed to handle very large data set sizes in the terascale range and yet can also handle small data sets in the kilobyte range. The VisIT website provides a gallery of vizualizations, another set of screen shots, and allows downloads of data files for input and source codes and executables for the VisIT software suite.

  1. User manual for IOSYM: an input-oriented simulation language for continuous systems

    SciTech Connect (OSTI)

    Polito, J.

    1981-03-01

    IOSYM is an extension of the GASP IV simulation language. It permits systems which are sequences of continuous processes to be modeled graphically. Normally the system can be described by data input only. The language permits stochastic sequencing and termination criteria for processes and allows crossing conditions for ending operations that are more general than GASP IV. Extensive capability exists for conditional branching and logical modification of the network. IOSYM has been used to model the cost of geothermal drilling where the various costly processes of drilling are represented by IOSYM operations. The language is much more general, however, since it retains most of GASP IV's discrete event capabilities and permits easy modeling of continuous processes.

  2. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, Alan L. (Lee's Summit, MO); Crist, Charles E. (Waxahachie, TX)

    1995-09-26

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages.

  3. Device for modular input high-speed multi-channel digitizing of electrical data

    DOE Patents [OSTI]

    VanDeusen, A.L.; Crist, C.E.

    1995-09-26

    A multi-channel high-speed digitizer module converts a plurality of analog signals to digital signals (digitizing) and stores the signals in a memory device. The analog input channels are digitized simultaneously at high speed with a relatively large number of on-board memory data points per channel. The module provides an automated calibration based upon a single voltage reference source. Low signal noise at such a high density and sample rate is accomplished by ensuring the A/D converters are clocked at the same point in the noise cycle each time so that synchronous noise sampling occurs. This sampling process, in conjunction with an automated calibration, yields signal noise levels well below the noise level present on the analog reference voltages. 1 fig.

  4. Contaminant transport in unconfined aquifer, input to low-level tank waste interim performance assessment

    SciTech Connect (OSTI)

    Lu, A.H., Westinghouse Hanford

    1996-08-14

    This report describes briefly the Hanford sitewide groundwater model and its application to the Low-Level Tank Waste Disposal (LLTWD) interim Performance Assessment (PA). The Well Intercept Factor (WIF) or dilution factor from a given areal flux entering the aquifer released from the LLTWD site are calculated for base case and various sensitivity cases. In conjunction with the calculation for released fluxes through vadose zone transport,the dose at the compliance point can be obtained by a simple multiplication. The relative dose contribution from the upstream sources was also calculated and presented in the appendix for an equal areal flux at the LLTWD site. The results provide input for management decisions on remediation action needed for reduction of the released fluxes from the upstream facilities to the allowed level to meet the required dose criteria.

  5. Task 3 - RMC method validation project report

    SciTech Connect (OSTI)

    Sarkinen, R.A.

    1996-08-01

    The EPRI Substation Reliability Centered Maintenance Project Task 3 uses utility data to validate the RCM process for maintenance in substations. At BPA, this project was used to validate the RCM method for a preventive maintenance program for substations. This project was performed by an RCM technical team and all maintenance personnel at the Chemawa Maintenance District Headquarters. The system chosen for, this project involved four transmission lines that feeds 230 kV Santiam Substation. This report explains the process for the system approach-used for the Santiam project and a summary of the results. The current preventive maintenance program is primarily based on time. The RCM approach for a preventive maintenance program realized significant savings.

  6. Land Ice Verification and Validation Kit

    Energy Science and Technology Software Center (OSTI)

    2015-07-15

    To address a pressing need to better understand the behavior and complex interaction of ice sheets within the global Earth system, significant development of continental-scale, dynamical ice-sheet models is underway. The associated verification and validation process of these models is being coordinated through a new, robust, python-based extensible software package, the Land Ice Verification and Validation toolkit (LIVV). This release provides robust and automated verification and a performance evaluation on LCF platforms. The performance V&Vmore » involves a comprehensive comparison of model performance relative to expected behavior on a given computing platform. LIVV operates on a set of benchmark and test data, and provides comparisons for a suite of community prioritized tests, including configuration and parameter variations, bit-4-bit evaluation, and plots of tests where differences occur.« less

  7. Land Ice Verification and Validation Kit

    SciTech Connect (OSTI)

    2015-07-15

    To address a pressing need to better understand the behavior and complex interaction of ice sheets within the global Earth system, significant development of continental-scale, dynamical ice-sheet models is underway. The associated verification and validation process of these models is being coordinated through a new, robust, python-based extensible software package, the Land Ice Verification and Validation toolkit (LIVV). This release provides robust and automated verification and a performance evaluation on LCF platforms. The performance V&V involves a comprehensive comparison of model performance relative to expected behavior on a given computing platform. LIVV operates on a set of benchmark and test data, and provides comparisons for a suite of community prioritized tests, including configuration and parameter variations, bit-4-bit evaluation, and plots of tests where differences occur.

  8. NASA Remote Sensing Validation Data: Saudi Arabia

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

    Myers, Daryl R. [NREL; Al-Abbadi, Naif [King Abdulaziz City for Science and Technology, Energy Research Institite; Wilcox, Steve [NREL

    Since 1995, the King Abdulaziz City for Science and Technology (KACST) and the National Renewable Energy Laboratory (NREL) have co-operated to establish a 12 station network of high quality solar radiation monitoring installations across the Kingdom of Saudi Arabia. NREL and KACST realized the value of accurate surface solar radiation flux measurements for validation of satellite derived surface and atmospheric solar radiation flux measurements, and is making this data available to support validation of satellite data products related to the NASA Mission to Planet Earth component of the Earth Science Enterprise Earth Observing System (EOS) project to evaluate long term climate trends based on measuements from EOS Terra Platforms. A CIMEL 8 channel sunphotometer for measuring aerosol optical depth at 6 wavelengths and total column water has been deployed at the Solar Village station since February 24, 1999. [Taken from http://rredc.nrel.gov/solar/new_data/Saudi_Arabia/

  9. Empirical Validation Workshop Pre-Read

    Energy Savers [EERE]

    Empirical Validation Workshop Pre-Read Amir Roth, Ron Judkoff, Philip Haves, Steve Selkowitz The goal of this workshop is to create a plan for improving the reputation of building energy modeling (BEM) as a scientific and engineering enterprise. Increasing confidence in BEM among BEM practitioners and among those who employ their services-building owners, energy-efficiency program managers, etc., will ultimately expand the (effective) use of BEM in building design and operation. The George Box

  10. Empirical Validation Workshop: Need and Theory

    Energy Savers [EERE]

    gov Empirical Validation Workshop: Need and Theory, Jan 28-29, 2015 Model vs Measured Pre-normative work by Labs, IEA, ASHRAE etc. becomes... Normative ANSI/ASHRAE Standard 140 Software Testing & Diagnostic Method: Finding needles in haystacks (BESTEST) 2 IRS & RESNET Qualified Software BESTESTed with Standard 140 EnerSim 179D Commercial Building Tax Credits (13 Simulation Tools) Hourly Analysis Program (HAP) RESNET (HERS, IECC, Tax Credits)(6 Tools) EnergyInsights(tm) TRANE/TRACE

  11. Tidal & Current Modeling Development and Validation

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

    Tidal & Current Modeling Development and Validation - 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 Fuel Cycle Defense

  12. Security Technology Demonstration and Validation Sustainability Plan

    SciTech Connect (OSTI)

    2008-08-31

    This report describes the process of creating continuity and sustainability for demonstration and validation (DEMVAL) assets at the National Security Technology Incubator (NSTI). The DEMVAL asset program is being developed as part of the National Security Preparedness Project (NSPP), funded by Department of Energy (DOE)/National Nuclear Security Administration (NNSA). The mission of the NSTI program is to identify, incubate, and accelerate technologies with national security applications at various stages of development by providing hands-on mentoring and business assistance to small businesses and emerging or growing companies. Part of this support is envisioned to be research and development of companies technology initiatives, at the same time providing robust test and evaluation of actual development activities. This program assists companies in developing technologies under the NSTI program through demonstration and validation of technologies applicable to national security created by incubators and other sources. The NSPP also will support the creation of an integrated demonstration and validation environment. Development of the commercial potential for national security technologies is a significant NSTI focus. As part of the process of commercialization, a comprehensive DEMVAL program has been recognized as an essential part of the overall incubator mission. A number of resources have been integrated into the NSTI program to support such a DEMVAL program.

  13. Radiography Facility - Building 239 Independent Validation Review

    SciTech Connect (OSTI)

    Altenbach, T J; Beaulieu, R A; Watson, J F; Wong, H J

    2010-02-02

    The purpose of this task was to perform an Independent Validation Review to evaluate the successful implementation and effectiveness of Safety Basis controls, including new and revised controls, to support the implementation of a new DSA/TSR for B239. This task addresses Milestone 2 of FY10 PEP 7.6.6. As the first IVR ever conducted on a LLNL nuclear facility, it was designated a pilot project. The review follows the outline developed for Milestone 1 of the PEP, which is based on the DOE Draft Guide for Performance of Independent Verification Review of Safety Basis Controls. A formal Safety Basis procedure will be developed later, based on the lessons learned with this pilot project. Note, this review is termed a ''Validation'' in order to be consistent with the PEP definition and address issues historically raised about verification mechanisms at LLNL. Validation is intended to confirm that implementing mechanisms realistically establish the ability of TSR LCO, administrative control or safety management program to accomplish its intended safety function and that the controls are being implemented. This effort should not, however, be confused with a compliance assessment against all relevant DOE requirements and national standards. Nor is it used as a vehicle to question the derivation of controls already approved by LSO unless a given TSR statement simply cannot be implemented as stated.

  14. Benchmark data for validating irradiated fuel compositions used in criticality calculations

    SciTech Connect (OSTI)

    Bierman, S.R.; Talbert, R.J.

    1994-10-01

    To establish criticality safety margins utilizing burnup credit in the storage and transport of spent reactor fuels requires a knowledge of the uncertainty in the calculated fuel composition used in making the reactivity assessment. To provide data for validating such calculated burnup fuel compositions, radiochemical assays have been obtained as part of the United States Department of Energy From-Reactor Cask Development Program. Assay results and associated operating histories on the initial three samples analyzed in this effort are presented. The three samples were taken from different axial regions of a Pressurized Water Reactor fuel rod and represent radiation exposures of about 37, 27, and 44 GWd/MTU. The data are presented in a benchmark type format to facilitate identification/referencing and computer code input.

  15. Validation of Heat Transfer Thermal Decomposition and Container Pressurization of Polyurethane Foam.

    SciTech Connect (OSTI)

    Scott, Sarah Nicole; Dodd, Amanda B.; Larsen, Marvin E.; Suo-Anttila, Jill M.; Erickson, Kenneth L

    2014-09-01

    Polymer foam encapsulants provide mechanical, electrical, and thermal isolation in engineered systems. In fire environments, gas pressure from thermal decomposition of polymers can cause mechanical failure of sealed systems. In this work, a detailed uncertainty quantification study of PMDI-based polyurethane foam is presented to assess the validity of the computational model. Both experimental measurement uncertainty and model prediction uncertainty are examined and compared. Both the mean value method and Latin hypercube sampling approach are used to propagate the uncertainty through the model. In addition to comparing computational and experimental results, the importance of each input parameter on the simulation result is also investigated. These results show that further development in the physics model of the foam and appropriate associated material testing are necessary to improve model accuracy.

  16. Effect of heat input on the microstructure, residual stresses and corrosion resistance of 304L austenitic stainless steel weldments

    SciTech Connect (OSTI)

    Unnikrishnan, Rahul, E-mail: rahulunnikrishnannair@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Idury, K.S.N. Satish, E-mail: satishidury@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Ismail, T.P., E-mail: tpisma@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Bhadauria, Alok, E-mail: alokbhadauria1@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Shekhawat, S.K., E-mail: satishshekhawat@gmail.com [Department of Metallurgical Engineering and Materials Science, Indian Institute of Technology Bombay (IITB), Powai, Mumbai 400076, Maharashtra (India); Khatirkar, Rajesh K., E-mail: rajesh.khatirkar@gmail.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India); Sapate, Sanjay G., E-mail: sgsapate@yahoo.com [Department of Metallurgical and Materials Engineering, Visvesvaraya National Institute of Technology (VNIT), South Ambazari Road, Nagpur 440010, Maharashtra (India)

    2014-07-01

    Austenitic stainless steels are widely used in high performance pressure vessels, nuclear, chemical, process and medical industry due to their very good corrosion resistance and superior mechanical properties. However, austenitic stainless steels are prone to sensitization when subjected to higher temperatures (673 K to 1173 K) during the manufacturing process (e.g. welding) and/or certain applications (e.g. pressure vessels). During sensitization, chromium in the matrix precipitates out as carbides and intermetallic compounds (sigma, chi and Laves phases) decreasing the corrosion resistance and mechanical properties. In the present investigation, 304L austenitic stainless steel was subjected to different heat inputs by shielded metal arc welding process using a standard 308L electrode. The microstructural developments were characterized by using optical microscopy and electron backscattered diffraction, while the residual stresses were measured by X-ray diffraction using the sin{sup 2}? method. It was observed that even at the highest heat input, shielded metal arc welding process does not result in significant precipitation of carbides or intermetallic phases. The ferrite content and grain size increased with increase in heat input. The grain size variation in the fusion zone/heat affected zone was not effectively captured by optical microscopy. This study shows that electron backscattered diffraction is necessary to bring out changes in the grain size quantitatively in the fusion zone/heat affected zone as it can consider twin boundaries as a part of grain in the calculation of grain size. The residual stresses were compressive in nature for the lowest heat input, while they were tensile at the highest heat input near the weld bead. The significant feature of the welded region and the base metal was the presence of a very strong texture. The texture in the heat affected zone was almost random. - Highlights: Effect of heat input on microstructure, residual stresses and corrosion is studied. HAZ and width of dendrite in the welded region increase with heat input. Residual stresses are tensile near the welded region after the highest heat input. Welded region has the highest pit density after highest heat input. Dendrites and ?-ferrite were highly oriented in the welded region.

  17. Documentation of Calculation Methodology, Input data, and Infrastructure for the Home Energy Saver Web Site

    SciTech Connect (OSTI)

    Pinckard, Margaret J.; Brown, Richard E.; Mills, Evan; Lutz, James D.; Moezzi, Mithra M.; Atkinson, Celina; Bolduc, Chris; Homan, Gregory K.; Coughlin, Katie

    2005-07-13

    The Home Energy Saver (HES, http://HomeEnergySaver.lbl.gov) is an interactive web site designed to help residential consumers make decisions about energy use in their homes. This report describes the underlying methods and data for estimating energy consumption. Using engineering models, the site estimates energy consumption for six major categories (end uses); heating, cooling, water heating, major appliances, lighting, and miscellaneous equipment. The approach taken by the Home Energy Saver is to provide users with initial results based on a minimum of user input, allowing progressively greater control in specifying the characteristics of the house and energy consuming appliances. Outputs include energy consumption (by fuel and end use), energy-related emissions (carbon dioxide), energy bills (total and by fuel and end use), and energy saving recommendations. Real-world electricity tariffs are used for many locations, making the bill estimates even more accurate. Where information about the house is not available from the user, default values are used based on end-use surveys and engineering studies. An extensive body of qualitative decision-support information augments the analytical results.

  18. LLNL Input to SNL L2 MS: Report on the Basis for Selection of Disposal Options

    SciTech Connect (OSTI)

    Sutton, M; Blink, J A; Halsey, W G

    2011-03-02

    This mid-year deliverable has two parts. The first part is a synopsis of J. Blink's interview of the former Nevada Attorney General, Frankie Sue Del Papa, which was done in preparation for the May 18-19, 2010 Legal and Regulatory Framework Workshop held in Albuquerque. The second part is a series of sections written as input for the SNL L2 Milestone M21UF033701, due March 31, 2011. Disposal of high-level radioactive waste is categorized in this review into several categories. Section II discusses alternatives to geologic disposal: space, ice-sheets, and an engineered mountain or mausoleum. Section III discusses alternative locations for mined geologic disposal: islands, coastlines, mid-continent, and saturated versus unsaturated zone. Section IV discusses geologic disposal alternatives other than emplacement in a mine: well injection, rock melt, sub-seabed, and deep boreholes in igneous or metamorphic basement rock. Finally, Secton V discusses alternative media for mined geologic disposal: basalt, tuff, granite and other igneous/metamorphic rock, alluvium, sandstone, carbonates and chalk, shale and clay, and salt.

  19. Development of a Novel Bi-Directional Isolated Multiple-Input DC-DC Converter

    SciTech Connect (OSTI)

    Li, H.

    2005-10-24

    There is vital need for a compact, lightweight, and efficient energy-storage system that is both affordable and has an acceptable cycle life for the large-scale production of electric vehicles (EVs) and hybrid electric vehicles (HEVs). Most of the current research employs a battery-storage unit (BU) combined with a fuel cell (FC) stack in order to achieve the operating voltage-current point of maximum efficiency for the FC system. A system block diagram is shown in Fig.1.1. In such a conventional arrangement, the battery is sized to deliver the difference between the energy required by the traction drive and the energy supplied by the FC system. Energy requirements can increase depending on the drive cycle over which the vehicle is expected to operate. Peak-power transients result in an increase of losses and elevated temperatures which result in a decrease in the lifetime of the battery. This research will propose a novel two-input direct current (dc) dc to dc converter to interface an additional energy-storage element, an ultracapacitor (UC), which is shown in Fig.1.2. It will assist the battery during transients to reduce the peak-power requirements of the battery.

  20. Input of 129I into the western Pacific Ocean resulting from the Fukushima nuclear event

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Tumey, S. J.; Guilderson, T. P.; Brown, T. A.; Broek, T.; Buesseler, K. O.

    2013-04-02

    We present an initial characterization of the input of 129I into the Pacific Ocean resulting from the 2011 Fukushima nuclear accident. This characterization is based primarily on 129I measurements on samples collected from a research cruise conducted in waters off the eastern coast of Japan in June 2011. The resulting measurements were compared with samples intended to reflect pre-Fukushima background that were collected during a May 2011 transect of the Pacific by a commercial container vessel. In surface waters, we observed peak 129I concentrations of ~300 μBq/m3 which represents an elevation of nearly three orders of magnitude compared to pre-Fukushimamore » backgrounds. The 129I results were coupled with 137Cs measurements from the same cruise and derived an average 129I/137Cs activity ratio of 0.442 × 10-6 for the effluent from Fukushima. Finally, we present 129I depth profiles from five stations from this cruise which form the basis for future studies of ocean transport and mixing process as well as estimations of the total budget of 129I released into the Pacific.« less

  1. Sensitivity of injection costs to input petrophysical parameters in numerical geologic carbon sequestration models

    SciTech Connect (OSTI)

    Cheng, C. L.; Gragg, M. J.; Perfect, E.; White, Mark D.; Lemiszki, P. J.; McKay, L. D.

    2013-08-24

    Numerical simulations are widely used in feasibility studies for geologic carbon sequestration. Accurate estimates of petrophysical parameters are needed as inputs for these simulations. However, relatively few experimental values are available for CO2-brine systems. Hence, a sensitivity analysis was performed using the STOMP numerical code for supercritical CO2 injected into a model confined deep saline aquifer. The intrinsic permeability, porosity, pore compressibility, and capillary pressure-saturation/relative permeability parameters (residual liquid saturation, residual gas saturation, and van Genuchten alpha and m values) were varied independently. Their influence on CO2 injection rates and costs were determined and the parameters were ranked based on normalized coefficients of variation. The simulations resulted in differences of up to tens of millions of dollars over the life of the project (i.e., the time taken to inject 10.8 million metric tons of CO2). The two most influential parameters were the intrinsic permeability and the van Genuchten m value. Two other parameters, the residual gas saturation and the residual liquid saturation, ranked above the porosity. These results highlight the need for accurate estimates of capillary pressure-saturation/relative permeability parameters for geologic carbon sequestration simulations in addition to measurements of porosity and intrinsic permeability.

  2. Transient Mixed Convection Validation for NGNP

    SciTech Connect (OSTI)

    Smith, Barton; Schultz, Richard

    2015-10-19

    The results of this project are best described by the papers and dissertations that resulted from the work. They are included in their entirety in this document. They are: (1) Jeff Harris PhD dissertation (focused mainly on forced convection); (2) Blake Lance PhD dissertation (focused mainly on mixed and transient convection). This dissertation is in multi-paper format and includes the article currently submitted and one to be submitted shortly; and, (3) JFE paper on CFD Validation Benchmark for Forced Convection.

  3. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation...

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

    Sampling (PGS) Validation Field Campaign 2002.01.01 - 2002.07.31 Lead Scientist : Marc Fischer For data sets, see below. Abstract The PGS validation will continue measuring the...

  4. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation...

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

    govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Related Campaigns PGS Validation 2011-2013 2011.03.01, Fischer, SGP PGS...

  5. ARM - Field Campaign - TX-2002 AIRS Validation Campaign

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

    govCampaignsTX-2002 AIRS Validation Campaign Comments? We would love to hear from you Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : TX-2002 AIRS Validation...

  6. Validation of the thermospheric vector spherical harmonic (VSH) computer model. Master's thesis

    SciTech Connect (OSTI)

    Davis, J.L.

    1991-01-01

    A semi-empirical computer model of the lower thermosphere has been developed that provides a description of the composition and dynamics of the thermosphere (Killeen et al., 1992). Input variables needed to run the VSH model include time, space and geophysical conditions. One of the output variables the model provides, neutral density, is of particular interest to the U.S. Air Force. Neutral densities vary both as a result of change in solar flux (eg. the solar cycle) and as a result of changes in the magnetosphere (eg. large changes occur in neutral density during geomagnetic storms). Satellites in earth orbit experience aerodynamic drag due to the atmospheric density of the thermosphere. Variability in the neutral density described above affects the drag a satellite experiences and as a result can change the orbital characteristics of the satellite. These changes make it difficult to track the satellite's position. Therefore, it is particularly important to insure that the accuracy of the model's neutral density is optimized for all input parameters. To accomplish this, a validation program was developed to evaluate the strengths and weaknesses of the model's density output by comparing it to SETA-2 (satellite electrostatic accelerometer) total mass density measurements.

  7. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project

    SciTech Connect (OSTI)

    Wipke, K.; Spirk, S.; Kurtz, J.; Ramsden, T.

    2010-09-01

    Graphs of composite data products produced by DOE's Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation project through September 2010.

  8. A/C Model Development and Validation | Department of Energy

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

    A/C Model Development and Validation A/C Model Development and Validation 2012 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting PDF icon vss045_lustbader_2012_o.pdf More Documents & Publications A/C Model Development and Validation Vehicle Technologies Office Merit Review 2015: Vehicle Thermal Systems Modeling in Simulink LDV HVAC Model Development and Validation

  9. Advanced Supply System Validation Workshop | Department of Energy

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

    Advanced Supply System Validation Workshop Advanced Supply System Validation Workshop The Bioenergy Technologies Office (BETO) is hosting the Advanced Supply System Validation Workshop on February 3-4, 2015, in Golden, Colorado. The purpose of the workshop is to bring together a diverse group of stakeholders to examine, discuss, and validate analysis assumptions used to move beyond current feedstock supply systems designed to support the agriculture and forestry industries. Participants will

  10. Validation of Innovation Exploration Technologies for Newberry Volcano

    Broader source: Energy.gov [DOE]

    Validation of Innovation Exploration Technologies for Newberry Volcano presentation at the April 2013 peer review meeting held in Denver, Colorado.

  11. Technology Validation: Fuel Cell Bus Evaluations | Department of Energy

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

    Technology Validation: Fuel Cell Bus Evaluations Technology Validation: Fuel Cell Bus Evaluations Presented at the DOE Hydrogen Program 2007 Annual Merit Review held May 15-18, 2007 in Arlington, Virginia under the Technology Validation - Systems Analysis section. PDF icon tv_10_eudy.pdf More Documents & Publications Fuel Cell Bus Evaluation Results (Presentation) Technology Validation: Fuel Cell Bus Evaluations SunLine Transit Agency, Hydrogen-Powered Transit Buses: Preliminary Evaluation

  12. Gateway Energy Services Corporation (Pennsylvania) | Open Energy...

    Open Energy Info (EERE)

    Corporation Place: Pennsylvania Phone Number: (888) 601-2171 Website: www.gesc.comPA Outage Hotline: (888) 601-2171 References: EIA Form EIA-861 Final Data File for 2010 -...

  13. Gateway West Transmission Line | Open Energy Information

    Open Energy Info (EERE)

    surveys and literature review; (b) the federal and state laws regarding protection of plants and wildlife; (c) the importance of these resources; (d) the purpose and necessity...

  14. Gateway:Amrica Latina | Open Energy Information

    Open Energy Info (EERE)

    Haiti Haiti Honduras Honduras Mexico Mexico Nicaragua Nicaragua Panama Panama Paraguay Paraguay Peru Peru Republica Dominicana Dominican Republic Uruguay Uruguay Venezuela...

  15. PeopleSoft Candidate Gateway forward

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

  16. Gateway:International/About | Open Energy Information

    Open Energy Info (EERE)

    information on renewable energy and energy efficiency analysis tools and models, databases, assessment methodologies, and other similar technical resources and emphasizes user...

  17. Energy Gateway South | Open Energy Information

    Open Energy Info (EERE)

    21 NEPA Schedule Comments Release of the Final EIS to the public is anticipated for late winter 2015. Relevant Numbers Lead Agency Doc Number BLMWYPL-14009+5001; Case File:...

  18. Oil and Gas Gateway | Open Energy Information

    Open Energy Info (EERE)

    States, oil and gas boards and commissions are the place for finding data related to oil and gas activities. These activities include well records, permitting, and production...

  19. NERSC Gateways Pave Way for 'Team Science'

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

    The common platform available to everyone was the web browser. About this same time HTML5 and JavaScript were fostering advances in the front-end browser experience. "That was...

  20. Vehicle Technologies Office: Integration, Validation and Testing Tools and

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

    Procedures | Department of Energy Modeling, Testing, Data & Results » Vehicle Technologies Office: Integration, Validation and Testing Tools and Procedures Vehicle Technologies Office: Integration, Validation and Testing Tools and Procedures The Vehicle Technologies Office supports facilities and tools such as Oak Ridge National Laboratory's Vehicle Systems Integration Laboratory to integrate, validate, and test advanced vehicle technologies. Read the text version. The Vehicle

  1. CASL Validation Data: An Initial Review

    SciTech Connect (OSTI)

    Nam Dinh

    2011-01-01

    The study aims to establish a comprehensive view of data needed for supporting implementation of the Consortium of Advanced Simulation of LWRs (CASL). Insights from this review (and its continual refinement), together with other elements developed in CASL, should provide the foundation for developing the CASL Validation Data Plan (VDP). VDP is instrumental to the development and assessment of CASL simulation tools as predictive capability. Most importantly, to be useful for CASL, the VDP must be devised (and agreed upon by all participating stakeholders) with appropriate account for nature of nuclear engineering applications, the availability, types and quality of CASL-related data, and novelty of CASL goals and its approach to the selected challenge problems. The initial review (summarized on the January 2011 report version) discusses a broad range of methodological issues in data review and Validation Data Plan. Such a top-down emphasis in data review is both needed to see a big picture on CASL data and appropriate when the actual data are not available for detailed scrutiny. As the data become available later in 2011, a revision of data review (and regular update) should be performed. It is expected that the basic framework for review laid out in this report will help streamline the CASL data review in a way that most pertinent to CASL VDP.

  2. Verification and validation for induction heating

    SciTech Connect (OSTI)

    Lam, Kin [Los Alamos National Laboratory; Tippetts, Trevor B [Los Alamos National Laboratory; Allen, David W [NON LANL

    2008-01-01

    Truchas is a software package being developed at LANL within the Telluride project for predicting the complex physical processes in metal alloy casting. The software was designed to be massively parallel, multi-material, multi-physics, and to run on 3D, fully unstructured meshes. This work describes a Verification and Validation assessment of Truchas for simulating the induction heating phase of a casting process. We used existing data from a simple experiment involving the induction heating of a graphite cylinder, as graphite is a common material used for mold assemblies. Because we do not have complete knowledge of all the conditions and properties in this experiment (as is the case in many other experiments), we performed a parameter sensitivity study, modeled the uncertainties of the most sensitive parameters, and quantified how these uncertainties propagate to the Truchas output response. A verification analysis produced estimates of the numerical error of the Truchas solution to our computational model. The outputs from Truchas runs with randomly sampled parameter values were used for the validation study.

  3. SPR Hydrostatic Column Model Verification and Validation.

    SciTech Connect (OSTI)

    Bettin, Giorgia; Lord, David; Rudeen, David Keith

    2015-10-01

    A Hydrostatic Column Model (HCM) was developed to help differentiate between normal "tight" well behavior and small-leak behavior under nitrogen for testing the pressure integrity of crude oil storage wells at the U.S. Strategic Petroleum Reserve. This effort was motivated by steady, yet distinct, pressure behavior of a series of Big Hill caverns that have been placed under nitrogen for extended period of time. This report describes the HCM model, its functional requirements, the model structure and the verification and validation process. Different modes of operation are also described, which illustrate how the software can be used to model extended nitrogen monitoring and Mechanical Integrity Tests by predicting wellhead pressures along with nitrogen interface movements. Model verification has shown that the program runs correctly and it is implemented as intended. The cavern BH101 long term nitrogen test was used to validate the model which showed very good agreement with measured data. This supports the claim that the model is, in fact, capturing the relevant physical phenomena and can be used to make accurate predictions of both wellhead pressure and interface movements.

  4. US-CERT Control System Center Input/Output (I/O) Conceputal Design

    SciTech Connect (OSTI)

    Not Available

    2005-02-01

    This document was prepared for the US-CERT Control Systems Center of the National Cyber Security Division (NCSD) of the Department of Homeland Security (DHS). DHS has been tasked under the Homeland Security Act of 2002 to coordinate the overall national effort to enhance the protection of the national critical infrastructure. Homeland Security Presidential Directive HSPD-7 directs the federal departments to identify and prioritize critical infrastructure and protect it from terrorist attack. The US-CERT National Strategy for Control Systems Security was prepared by the NCSD to address the control system security component addressed in the National Strategy to Secure Cyberspace and the National Strategy for the Physical Protection of Critical Infrastructures and Key Assets. The US-CERT National Strategy for Control Systems Security identified five high-level strategic goals for improving cyber security of control systems; the I/O upgrade described in this document supports these goals. The vulnerability assessment Test Bed, located in the Information Operations Research Center (IORC) facility at Idaho National Laboratory (INL), consists of a cyber test facility integrated with multiple test beds that simulate the nation's critical infrastructure. The fundamental mission of the Test Bed is to provide industry owner/operators, system vendors, and multi-agency partners of the INL National Security Division a platform for vulnerability assessments of control systems. The Input/Output (I/O) upgrade to the Test Bed (see Work Package 3.1 of the FY-05 Annual Work Plan) will provide for the expansion of assessment capabilities within the IORC facility. It will also provide capabilities to connect test beds within the Test Range and other Laboratory resources. This will allow real time I/O data input and communication channels for full replications of control systems (Process Control Systems [PCS], Supervisory Control and Data Acquisition Systems [SCADA], and components). This will be accomplished through the design and implementation of a modular infrastructure of control system, communications, networking, computing and associated equipment, and measurement/control devices. The architecture upgrade will provide a flexible patching system providing a quick ''plug and play''configuration through various communication paths to gain access to live I/O running over specific protocols. This will allow for in-depth assessments of control systems in a true-to-life environment. The full I/O upgrade will be completed through a two-phased approach. Phase I, funded by DHS, expands the capabilities of the Test Bed by developing an operational control system in two functional areas, the Science & Technology Applications Research (STAR) Facility and the expansion of various portions of the Test Bed. Phase II (see Appendix A), funded by other programs, will complete the full I/O upgrade to the facility.

  5. Input-output relations at dispersing and absorbing planar multilayers for the quantized electromagnetic field containing evanescent components

    SciTech Connect (OSTI)

    Khanbekyan, Mikayel; Knoell, Ludwig; Welsch, Dirk-Gunnar

    2003-06-01

    By using the Green-function concept of quantization of the electromagnetic field in dispersing and absorbing media, the quantized field in the presence of a dispersing and absorbing dielectric multilayer plate is studied. Three-dimensional input-output relations are derived for both amplitude operators in the k space and the field operators in the coordinate space. The conditions are discussed, under which the input-output relations can be expressed in terms of bosonic operators. The theory applies to both (effectively) free fields and fields, created by active atomic sources inside and/or outside the plate, including also evanescent-field components.

  6. Systematic approach to verification and validation: High explosive burn models

    SciTech Connect (OSTI)

    Menikoff, Ralph; Scovel, Christina A.

    2012-04-16

    Most material models used in numerical simulations are based on heuristics and empirically calibrated to experimental data. For a specific model, key questions are determining its domain of applicability and assessing its relative merits compared to other models. Answering these questions should be a part of model verification and validation (V and V). Here, we focus on V and V of high explosive models. Typically, model developers implemented their model in their own hydro code and use different sets of experiments to calibrate model parameters. Rarely can one find in the literature simulation results for different models of the same experiment. Consequently, it is difficult to assess objectively the relative merits of different models. This situation results in part from the fact that experimental data is scattered through the literature (articles in journals and conference proceedings) and that the printed literature does not allow the reader to obtain data from a figure in electronic form needed to make detailed comparisons among experiments and simulations. In addition, it is very time consuming to set up and run simulations to compare different models over sufficiently many experiments to cover the range of phenomena of interest. The first difficulty could be overcome if the research community were to support an online web based database. The second difficulty can be greatly reduced by automating procedures to set up and run simulations of similar types of experiments. Moreover, automated testing would be greatly facilitated if the data files obtained from a database were in a standard format that contained key experimental parameters as meta-data in a header to the data file. To illustrate our approach to V and V, we have developed a high explosive database (HED) at LANL. It now contains a large number of shock initiation experiments. Utilizing the header information in a data file from HED, we have written scripts to generate an input file for a hydro code, run a simulation, and generate a comparison plot showing simulated and experimental velocity gauge data. These scripts are then applied to several series of experiments and to several HE burn models. The same systematic approach is applicable to other types of material models; for example, equations of state models and material strength models.

  7. Linking atomistic and mesoscale simulations of nanocrystalline materials : quantitative validation for the case of grain growth.

    SciTech Connect (OSTI)

    Moldovan, D.; Wolf, D.; Phillpot, S. R.; Materials Science Division; Louisiana State Univ.

    2003-11-01

    Using grain growth in nanocrystalline palladium as a simple case study, we demonstrate how a novel mesoscale approach for simulating microstructural evolution in polycrystalline materials can be validated directly against atomic-level simulations of the same system. We first describe molecular dynamics simulations of grain growth in a columnar model microstructure. The atomic-level insights into the grain-growth mechanism gained from these simulations, particularly in the role of grain rotations, are captured theoretically for incorporation into the mesoscale approach, in which the objects evolving in space and time are the grain boundaries and grain junctions rather than the atoms. With all the input parameters to the mesoscale being physically well defined and obtained directly from the atomic-level simulations, the mesoscale simulations are fully prescribed. We find that the morphology of the mesoscale system evolves in an almost identical manner with that of the molecular dynamics simulation, demonstrating that the length- and time-scale linking has been performed correctly. When applied to systems containing large numbers of grains, the now validated mesoscale simulation approach allows the growth topology and long-time growth kinetics to be determined. As an outlook, we describe how the effects of applied stress can be incorporated.

  8. Real-World Hydrogen Technology Validation: Preprint

    SciTech Connect (OSTI)

    Sprik, S.; Kurtz, J.; Wipke, K.; Ramsden, T.; Ainscough, C.; Eudy, L.; Saur, G.

    2012-03-01

    The Department of Energy, the Department of Defense's Defense Logistics Agency, and the Department of Transportation's Federal Transit Administration have funded learning demonstrations and early market deployments to provide insight into applications of hydrogen technologies on the road, in the warehouse, and as stationary power. NREL's analyses validate the technology in real-world applications, reveal the status of the technology, and facilitate the development of hydrogen and fuel cell technologies, manufacturing, and operations. This paper presents the maintenance, safety, and operation data of fuel cells in multiple applications with the reported incidents, near misses, and frequencies. NREL has analyzed records of more than 225,000 kilograms of hydrogen that have been dispensed through more than 108,000 hydrogen fills with an excellent safety record.

  9. Full-Scale Cookoff Model Validation Experiments

    SciTech Connect (OSTI)

    McClelland, M A; Rattanapote, M K; Heimdahl, E R; Erikson, W E; Curran, P O; Atwood, A I

    2003-11-25

    This paper presents the experimental results of the third and final phase of a cookoff model validation effort. In this phase of the work, two generic Heavy Wall Penetrators (HWP) were tested in two heating orientations. Temperature and strain gage data were collected over the entire test period. Predictions for time and temperature of reaction were made prior to release of the live data. Predictions were comparable to the measured values and were highly dependent on the established boundary conditions. Both HWP tests failed at a weld located near the aft closure of the device. More than 90 percent of unreacted explosive was recovered in the end heated experiment and less than 30 percent recovered in the side heated test.

  10. Verification and Validation Strategy for LWRS Tools

    SciTech Connect (OSTI)

    Carl M. Stoots; Richard R. Schultz; Hans D. Gougar; Thomas K Larson; Michael Corradini; Laura Swiler; David Pointer; Jess Gehin

    2012-09-01

    One intension of the Department of Energy (DOE) Light Water Reactor Sustainability (LWRS) program is to create advanced computational tools for safety assessment that enable more accurate representation of a nuclear power plant safety margin. These tools are to be used to study the unique issues posed by lifetime extension and relicensing of the existing operating fleet of nuclear power plants well beyond their first license extension period. The extent to which new computational models / codes such as RELAP-7 can be used for reactor licensing / relicensing activities depends mainly upon the thoroughness with which they have been verified and validated (V&V). This document outlines the LWRS program strategy by which RELAP-7 code V&V planning is to be accomplished. From the perspective of developing and applying thermal-hydraulic and reactivity-specific models to reactor systems, the US Nuclear Regulatory Commission (NRC) Regulatory Guide 1.203 gives key guidance to numeric model developers and those tasked with the validation of numeric models. By creating Regulatory Guide 1.203 the NRC defined a framework for development, assessment, and approval of transient and accident analysis methods. As a result, this methodology is very relevant and is recommended as the path forward for RELAP-7 V&V. However, the unique issues posed by lifetime extension will require considerations in addition to those addressed in Regulatory Guide 1.203. Some of these include prioritization of which plants / designs should be studied first, coupling modern supporting experiments to the stringent needs of new high fidelity models / codes, and scaling of aging effects.

  11. Addressing Uncertainty in Desigh Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF

    Office of Environmental Management (EM)

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael Costantino, Andrew Maham Carl J. Costantino & Associates DOE NPH Conference Germantown, Maryland October 25-26 2011 1 CJCAssociates Introduction * Description of the SWPF Settlement Problem * Deterministic v. Probabilistic Approach to Settlement Profile Development * Analysis Approach * Parameters considered *

  12. Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF

    Broader source: Energy.gov [DOE]

    Addressing Uncertainties in Design Inputs: A Case Study of Probabilistic Settlement Evaluations for Soft Zone Collapse at SWPF Tom Houston, Greg Mertz, Carl Costantino, Michael Costantino, Andrew Maham Carl J. Costantino & Associates DOE NPH Conference Germantown, Maryland October 25-26 2011

  13. Evaluating the efficiency of municipalities in collecting and processing municipal solid waste: A shared input DEA-model

    SciTech Connect (OSTI)

    Rogge, Nicky; De Jaeger, Simon

    2012-10-15

    Highlights: Black-Right-Pointing-Pointer Complexity in local waste management calls for more in depth efficiency analysis. Black-Right-Pointing-Pointer Shared-input Data Envelopment Analysis can provide solution. Black-Right-Pointing-Pointer Considerable room for the Flemish municipalities to improve their cost efficiency. - Abstract: This paper proposed an adjusted 'shared-input' version of the popular efficiency measurement technique Data Envelopment Analysis (DEA) that enables evaluating municipality waste collection and processing performances in settings in which one input (waste costs) is shared among treatment efforts of multiple municipal solid waste fractions. The main advantage of this version of DEA is that it not only provides an estimate of the municipalities overall cost efficiency but also estimates of the municipalities' cost efficiency in the treatment of the different fractions of municipal solid waste (MSW). To illustrate the practical usefulness of the shared input DEA-model, we apply the model to data on 293 municipalities in Flanders, Belgium, for the year 2008.

  14. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01

    This document presents the benchmark plan for the calculation of particle fuel performance on safety testing experiments that are representative of operational accidental transients. The benchmark is dedicated to the modeling of fission product release under accident conditions by fuel performance codes from around the world, and the subsequent comparison to post-irradiation experiment (PIE) data from the modeled heating tests. The accident condition benchmark is divided into three parts: the modeling of a simplified benchmark problem to assess potential numerical calculation issues at low fission product release; the modeling of the AGR-1 and HFR-EU1bis safety testing experiments; and, the comparison of the AGR-1 and HFR-EU1bis modeling results with PIE data. The simplified benchmark case, thereafter named NCC (Numerical Calculation Case), is derived from ''Case 5'' of the International Atomic Energy Agency (IAEA) Coordinated Research Program (CRP) on coated particle fuel technology [IAEA 2012]. It is included so participants can evaluate their codes at low fission product release. ''Case 5'' of the IAEA CRP-6 showed large code-to-code discrepancies in the release of fission products, which were attributed to ''effects of the numerical calculation method rather than the physical model''[IAEA 2012]. The NCC is therefore intended to check if these numerical effects subsist. The first two steps imply the involvement of the benchmark participants with a modeling effort following the guidelines and recommendations provided by this document. The third step involves the collection of the modeling results by Idaho National Laboratory (INL) and the comparison of these results with the available PIE data. The objective of this document is to provide all necessary input data to model the benchmark cases, and to give some methodology guidelines and recommendations in order to make all results suitable for comparison with each other. The participants should read this document thoroughly to make sure all the data needed for their calculations is provided in the document. Missing data will be added to a revision of the document if necessary.

  15. Efficient Screening of Climate Model Sensitivity to a Large Number of Perturbed Input Parameters [plus supporting information

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Covey, Curt; Lucas, Donald D.; Tannahill, John; Garaizar, Xabier; Klein, Richard

    2013-07-01

    Modern climate models contain numerous input parameters, each with a range of possible values. Since the volume of parameter space increases exponentially with the number of parameters N, it is generally impossible to directly evaluate a model throughout this space even if just 2-3 values are chosen for each parameter. Sensitivity screening algorithms, however, can identify input parameters having relatively little effect on a variety of output fields, either individually or in nonlinear combination.This can aid both model development and the uncertainty quantification (UQ) process. Here we report results from a parameter sensitivity screening algorithm hitherto untested in climate modeling,more » the Morris one-at-a-time (MOAT) method. This algorithm drastically reduces the computational cost of estimating sensitivities in a high dimensional parameter space because the sample size grows linearly rather than exponentially with N. It nevertheless samples over much of the N-dimensional volume and allows assessment of parameter interactions, unlike traditional elementary one-at-a-time (EOAT) parameter variation. We applied both EOAT and MOAT to the Community Atmosphere Model (CAM), assessing CAM’s behavior as a function of 27 uncertain input parameters related to the boundary layer, clouds, and other subgrid scale processes. For radiation balance at the top of the atmosphere, EOAT and MOAT rank most input parameters similarly, but MOAT identifies a sensitivity that EOAT underplays for two convection parameters that operate nonlinearly in the model. MOAT’s ranking of input parameters is robust to modest algorithmic variations, and it is qualitatively consistent with model development experience. Supporting information is also provided at the end of the full text of the article.« less

  16. Integrated Waste Treatment Unit (IWTU) Input Coal Analyses and Off-Gass Filter (OGF) Content Analyses

    SciTech Connect (OSTI)

    Jantzen, Carol M.; Missimer, David M.; Guenther, Chris P.; Shekhawat, Dushyant; VanEssendelft, Dirk T.; Means, Nicholas C.

    2015-04-23

    A full engineering scale Fluidized Bed Steam Reformer (FBSR) system is being used at the Idaho Nuclear Technology and Engineering Center (INTEC) to stabilize acidic Low Activity Waste (LAW) known as Sodium Bearing Waste (SBW). The INTEC facility, known as the Integrated Waste Treatment Unit (IWTU), underwent an Operational Readiness Review (ORR) and a Technology Readiness Assessment (TRA) in March 2014. The IWTU began non-radioactive simulant processing in late 2014 and by January, 2015 ; the IWTU had processed 62,000 gallons of simulant. The facility is currently in a planned outage for inspection of the equipment and will resume processing simulated waste feed before commencing to process 900,000 gallons of radioactive SBW. The SBW acidic waste will be made into a granular FBSR product (carbonate based) for disposal in the Waste Isolation Pilot Plant (WIPP). In the FBSR process calcined coal is used to create a CO2 fugacity to force the waste species to convert to carbonate species. The quality of the coal, which is a feed input, is important because the reactivity, moisture, and volatiles (C,H,N,O, and S) in the coal impact the reactions and control of the mineralizing process in the primary steam reforming vessel, the Denitration and Mineralizing Reformer (DMR). Too much moisture in the coal can require that additional coal be used. However since moisture in the coal is only a small fraction of the moisture from the fluidizing steam this can be self-correcting. If the coal reactivity or heating value is too low then the coal feedrate needs to be adjusted to achieve the desired heat generation. Too little coal and autothermal heat generation in the DMR cannot be sustained and/or the carbon dioxide fugacity will be too low to create the desired carbonate mineral species. Too much coal and excess S and hydroxide species can form. Excess sulfur from coal that (1) is too rich in sulfur or (2) from overfeeding coal can promote wall scale and contribute to corrosion in process piping and materials, in excessive off-gas absorbent loading, and in undesired process emissions. The ash content of the coal is important as the ash adds to the DMR and other vessel products which affect the final waste product mass and composition. The amount and composition of the ash also affects the reaction kinetics. Thus ash content and composition contributes to the mass balance. In addition, sodium, potassium, calcium, sulfur, and maybe silica and alumina in the ash may contribute to wall-scale formation. Sodium, potassium, and alumina in the ash will be overwhelmed by the sodium, potassium, and alumina from the feed but the impact from the other ash components needs to be quantified. A maximum coal particle size is specified so the feed system does not plug and a minimum particle size is specified to prevent excess elutriation from the DMR to the Process Gas Filter (PGF). A vendor specification was used to procure the calcined coal for IWTU processing. While the vendor supplied a composite analysis for the 22 tons of coal (Appendix A), this study compares independent analyses of the coal performed at the Savannah River National Laboratory (SRNL) and at the National Energy Technology Laboratory (NETL). Three supersacks a were sampled at three different heights within the sack in order to determine within bag variability and between bag variability of the coal. These analyses were also compared to the vendor’s composite analyses and to the coal specification. These analyses were also compared to historic data on Bestac coal analyses that had been performed at Hazen Research Inc. (HRI) between 2004-2011.

  17. Report on a workshop concerning code validation

    SciTech Connect (OSTI)

    None

    1996-12-01

    The design of wind turbine components is becoming more critical as turbines become lighter and more dynamically active. Computer codes that will reliably predict turbine dynamic response are, therefore, more necessary than before. However, predicting the dynamic response of very slender rotating structures that operate in turbulent winds is not a simple matter. Even so, codes for this purpose have been developed and tested in North America and in Europe, and it is important to disseminate information on this subject. The purpose of this workshop was to allow those involved in the wind energy industry in the US to assess the progress invalidation of the codes most commonly used for structural/aero-elastic wind turbine simulation. The theme of the workshop was, ``How do we know it`s right``? This was the question that participants were encouraged to ask themselves throughout the meeting in order to avoid the temptation of presenting information in a less-than-critical atmosphere. Other questions posed at the meeting are: What is the proof that the codes used can truthfully represent the field data? At what steps were the codes tested against known solutions, or against reliable field data? How should the designer or user validate results? What computer resources are needed? How do codes being used in Europe compare with those used in the US? How does the code used affect industry certification? What can be expected in the future?

  18. ARM Intensive Operational Period Scheduled to Validate New NASA Satellite

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

    2 ARM Intensive Operational Period Scheduled to Validate New NASA Satellite Beginning in July, all three ARM sites (Southern Great Plains [SGP], North Slope of Alaska, and Tropical Western Pacific; Figure 1) will participate in the AIRS Validation IOP. This three-month intensive operational period (IOP) will validate data collected by the satellite-based Atmospheric Infrared Sounder (AIRS) recently launched into space. On May 4, the National Aeronautics and Space Administration (NASA) launched

  19. Recovery Act. Development and Validation of an Advanced Stimulation

    Office of Scientific and Technical Information (OSTI)

    Prediction Model for Enhanced Geothermal Systems (Technical Report) | SciTech Connect Recovery Act. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems Citation Details In-Document Search Title: Recovery Act. Development and Validation of an Advanced Stimulation Prediction Model for Enhanced Geothermal Systems This research project aims to develop and validate an advanced computer model that can be used in the planning and design of

  20. LDV HVAC Model Development and Validation | Department of Energy

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

    LDV HVAC Model Development and Validation LDV HVAC Model Development and Validation 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon vss045_rugh_2011_o.pdf More Documents & Publications CoolCab Test and Evaluation CoolCab Thermal Load Reduction Project: CoolCalc HVAC Tool Development A/C Model Development and Validation

  1. HEV, PHEV, BEV Test Standard Validation | Department of Energy

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

    HEV, PHEV, BEV Test Standard Validation HEV, PHEV, BEV Test Standard Validation 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation PDF icon vss052_duoba_2011_o.pdf More Documents & Publications HEV, PHEV, EV Test Standard Development and Validation J1634 SAE BEV Test Procedures Argonne Facilitation of PHEV Standard Testing Procedure (SAE J1711)

  2. Validation of Innovative Exploration Technologies | Department of Energy

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

    Validation of Innovative Exploration Technologies Validation of Innovative Exploration Technologies Below are the project presentations and respective peer review results for Validation of Innovative Exploration Technologies. Effectiveness of Shallow Temperatures Surveys to Target a Geothermal Reservoir at Previously Explored Site at McGee Mountain, Nevada, Richard "Rick" Zehner, Geothermal Technical Partners, Inc. Away from the Range Front: Intra-Basin Geothermal Exploration, Glenn

  3. Technology Validation: Fuel Cell Bus Evaluations | Department of Energy

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

    Validation: Fuel Cell Bus Evaluations Technology Validation: Fuel Cell Bus Evaluations 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon tv_08_eudy.pdf More Documents & Publications Technology Validation: Fuel Cell Bus Evaluations Hydrogen and Fuel Cell Transit Bus Evaluations: Joint Evaluation Plan for the U.S. Department of Energy and the Federal Transit Administration; Appendix Fuel Cell

  4. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation

    Office of Environmental Management (EM)

    Project | Department of Energy Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting, May 18-22, 2009 -- Washington D.C. PDF icon tv_03_veenstra.pdf More Documents & Publications Technology Validation Controlled Hydrogen Fleet & Infrastructure Analysis HYDROGEN TO THE

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

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

    Modeling Fluid Flow in Natural Systems, Model Validation and Demonstration Clay and granitic units are potential host media for future repositories for used nuclear fuel. The ...

  6. Implementation and Validation of the BHR Turbulence Model in...

    Office of Scientific and Technical Information (OSTI)

    The BHR-2 turbulence model, developed at Los Alamos National Laboratory for variable ... One-dimensional and two-dimensional validation tests are performed and compared to ...

  7. Transmission Services Product Pricing Validation October 1, 2014

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

    Teams Customer Training Interconnection Notices Rates Standards of Conduct Tariff TF Web Based Training Notice: Transmission Services Product Pricing Validation Posted Date:...

  8. Vehicle Technologies Office Merit Review 2015: Validation of...

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

    PDF icon lm084berger2015o.pdf More Documents & Publications Vehicle Technologies Office Merit Review 2014: Validation of Material Models for Automotive Carbon Fiber Composite ...

  9. Development and Validation of a Reduced Mechanism for Biodiesel...

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

    a Reduced Mechanism for Biodiesel Surrogates for Compression Ignition Engine Applications Development and Validation of a Reduced Mechanism for Biodiesel Surrogates for ...

  10. Validation of the SASSI2010 Subtraction Method Using Full Scale...

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

    the SASSI2010 Subtraction Method Using Full Scale Independent Verification Lisa Anderson Farhang Ostadan Bechtel National, Inc. USDOE NPH Workshop October 2014 Validation of the...

  11. Update to industrial drivers in the AEO2015 as a result of new input-output data

    Gasoline and Diesel Fuel Update (EIA)

    Update to industrial drivers in the AEO2015 as a result of new input-output data Elizabeth Sendich May 4, 2015 Independent Statistics & Analysis www.eia.gov U.S. Energy Information Administration Washington, DC 20585 This paper is released to encourage discussion and critical comment. The analysis and conclusions expressed here are those of the authors and not necessarily those of the U.S. Energy Information Administration. WORKING PAPER SERIES April 2015 Elizabeth Sendich | U.S. Energy

  12. Facilitated Discussion Questions (in blue font) and input from meeting participants, categorized and summarized by the Facilitator (in black font)

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

    Meeting on Data/Communication Standards and Interoperability of Building Appliances, Equipment, and Systems Facilitated Discussion Questions (in blue font) and input from meeting participants, categorized and summarized by the Facilitator (in black font) Question 1: Biggest challenge to integration and alignment- For information exchange to prosper between buildings devices, systems, and outside parties, such as other buildings and electric system operators, technology must integrate easily and

  13. Development of a Low Input and sustainable Switchgrass Feedstock Production System Utilizing Beneficial Bacterial Endophytes

    SciTech Connect (OSTI)

    Mei, Chuansheng; Nowak, Jerzy; Seiler, John

    2014-10-24

    Switchgrass represents a promising feedstock crop for US energy sustainability. However, its broad utilization for bioenergy requires improvements of biomass yields and stress tolerance. In this DOE funded project, we have been working on harnessing beneficial bacterial endophytes to enhance switchgrass performance and to develop a low input feedstock production system for marginal lands that do not compete with the production of food crops. We have demonstrated that one of most promising plant growth-promoting bacterial endophytes, Burkholderia phytofirmans strain PsJN, is able to colonize roots and significantly promote growth of switchgrass cv. Alamo under in vitro, growth chamber, greenhouse, as well as field conditions. Furthermore, PsJN bacterization improved growth and development of switchgrass seedlings, significantly stimulated plant root and shoot growth, and tiller number in the field, and enhanced biomass accumulation on both poor (p<0.001) and rich (p<0.05) soils, with more effective stimulation of plant growth in low fertility soil. Plant physiology measurements showed that PsJN inoculated Alamo had consistently lower transpiration, lower stomatal conductance, and higher water use efficiency in greenhouse conditions. These physiological changes may significantly contribute to the recorded growth enhancement. PsJN inoculation rapidly results in an increase in photosynthetic rates which contributes to the advanced growth and development. Some evidence suggests that this initial growth advantage decreases with time when resources are not limited such as in greenhouse studies. Additionally, better drought resistance and drought hardening were observed in PsJN inoculated switchgrass. Using the DOE-funded switchgrass EST microarray, in a collaboration with the Genomics Core Facility at the Noble Foundation, we have determined gene expression profile changes in both responsive switchgrass cv. Alamo and non-responsive cv. Cave-in-Rock (CR) following PsJN bacterization. With the MapMan software to analyze microarray data, the number of up- and down-regulated probes was calculated. The number of up-regulated probes in Alamo was 26, 14, 14, and 12% at 0.5, 2, 4 and 8 days after inoculation (DAI) with PsJN, respectively while the corresponding number in CR was 24, 22, 21, and 19%, respectively. In both cultivars, the largest number of up-regulated probes occurred at 0.5 DAI. Noticeable differences throughout the timeframe between Alamo and CR were that the number was dramatically decreased to half (12%) in Alamo but remained high in CR (approximately 20%). The number of down regulated genes demonstrated different trends in Alamo and CR. Alamo had an increasing trend from 9% at 0.5 DAI to 11, 17, and 28% at 2, 4, and 8 DAI, respectively. However, CR had 13% at 0.5 and 2 DAI, and declined to 10% at 4 and 8 DAI. With the aid of MapMan and PageMan, we mapped the response of the ID probes to the observed major gene regulatory network and major biosynthetic pathway changes associated with the beneficial bacterial endophyte infection, colonization, and early growth promotion process. We found significant differences in gene expression patterns between responsive and non-responsive cultivars in many pathways, including redox state regulation, signaling, proteolysis, transcription factors, as well as hormone (SA and JA in particular)-associated pathways. Form microarray data, a total of 50 key genes have been verified using qPCR. Ten of these genes were chosen for further functional study via either overexpression and/or RNAi knockout technologies. These genes were calmodulin-related calcium sensor protein (CAM), glutathione S-transferase (GST), histidine-containing phosphotransfer protein (H-221), 3 different zinc finger proteins (ZF-371, ZF131 and ZF242), EF hand transcription factor (EF-622), peroxidase, cellulose synthase catalytic submit A2 (CESA2), and Aux/IAA family. A total of 8 overexpression and 5 RNAi transgenic plants have been regenerated, and their gene expression levels determined using qPCR. Consequently

  14. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation

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

    Project Solicitation | Department of Energy Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Solicitation Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Solicitation The Fuel Cell Technologies Office of the Department of Energy (DOE) Office of Energy Efficiency and Renewable Energy is soliciting financial assistance Applications with the objective of supporting industry efforts and the President's Hydrogen Fuel Initiative in

  15. Experimental Validation of Stratified Flow Phenomena, Graphite Oxidation, and Mitigation Strategies of Air Ingress Accidents

    SciTech Connect (OSTI)

    Chang Ho Oh; Eung Soo Kim; Hee Cheon No; Nam Zin Cho

    2008-12-01

    The US Department of Energy is performing research and development (R&D) that focuses on key phenomena that are important during challenging scenarios that may occur in the Next Generation Nuclear Plant (NGNP) Program / GEN-IV Very High Temperature Reactor (VHTR). Phenomena identification and ranking studies (PIRT) to date have identified the air ingress event, following on the heels of a VHTR depressurization, as very important (Schultz et al., 2006). Consequently, the development of advanced air ingress-related models and verification and validation (V&V) are very high priority for the NGNP program. Following a loss of coolant and system depressurization, air will enter the core through the break. Air ingress leads to oxidation of the in-core graphite structure and fuel. The oxidation will accelerate heat-up of the bottom reflector and the reactor core and will cause the release of fission products eventually. The potential collapse of the bottom reflector because of burn-off and the release of CO lead to serious safety problems. For estimation of the proper safety margin we need experimental data and tools, including accurate multi-dimensional thermal-hydraulic and reactor physics models, a burn-off model, and a fracture model. We also need to develop effective strategies to mitigate the effects of oxidation. The results from this research will provide crucial inputs to the INL NGNP/VHTR Methods R&D project. This project is focused on (a) analytical and experimental study of air ingress caused by density-driven, stratified, countercurrent flow, (b) advanced graphite oxidation experiments, (c) experimental study of burn-off in the bottom reflector, (d) structural tests of the burnt-off bottom reflector, (e) implementation of advanced models developed during the previous tasks into the GAMMA code, (f) full air ingress and oxidation mitigation analyses, (g) development of core neutronic models, (h) coupling of the core neutronic and thermal hydraulic models, and (i) verification and validation of the coupled models.

  16. THE VALIDITY OF HUMAN AND COMPUTERIZED WRITING ASSESSMENT

    SciTech Connect (OSTI)

    Ronald L. Boring

    2005-09-01

    This paper summarizes an experiment designed to assess the validity of essay grading between holistic and analytic human graders and a computerized grader based on latent semantic analysis. The validity of the grade was gauged by the extent to which the students knowledge of the topic correlated with the graders expert knowledge. To assess knowledge, Pathfinder networks were generated by the student essay writers, the holistic and analytic graders, and the computerized grader. It was found that the computer generated grades more closely matched the definition of valid grading than did human generated grades.

  17. ARM - Field Campaign - AIRS Validation Soundings - Phases 6 and 7

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

    govCampaignsAIRS Validation Soundings - Phases 6 and 7 ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Soundings - Phases 6 and 7 2007.07.16 - 2007.10.17 Lead Scientist : Barry Lesht For data sets, see below. Abstract ARM conducted a special series of radiosonde launches in support of validation studies for the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's Aqua satellite

  18. ARM - Field Campaign - AIRS Validation Soundings - Phases 6 and 7

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

    govCampaignsAIRS Validation Soundings - Phases 6 and 7 ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Soundings - Phases 6 and 7 2007.07.16 - 2007.09.07 Lead Scientist : Barry Lesht For data sets, see below. Abstract ARM conducted a special series of radiosonde launches in support of validation studies for the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's Aqua satellite

  19. ARM - Field Campaign - AIRS Validation Soundings - Phases 6 and 7

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

    govCampaignsAIRS Validation Soundings - Phases 6 and 7 ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Soundings - Phases 6 and 7 2007.07.16 - 2007.10.11 Lead Scientist : Barry Lesht For data sets, see below. Abstract ARM conducted a special series of radiosonde launches in support of validation studies for the Atmospheric Infrared Sounder (AIRS) instrument aboard NASA's Aqua satellite

  20. ARM - Field Campaign - AIRS Validation Soundings Phase III

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

    govCampaignsAIRS Validation Soundings Phase III ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Soundings Phase III 2004.04.19 - 2004.09.05 Lead Scientist : Jimmy Voyles For data sets, see below. Abstract Radiosonde launches from NSA were timed to coincide with overpasses of the Aqua satellite carrying the AIRS sensor for the purpose of providing in situ validation data for development and

  1. ARM - Field Campaign - AIRS Validation Soundings Phase III

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

    govCampaignsAIRS Validation Soundings Phase III ARM Data Discovery Browse Data Comments? We would love to hear from you! Send us a note below or call us at 1-888-ARM-DATA. Send Campaign : AIRS Validation Soundings Phase III 2004.04.02 - 2004.08.10 Lead Scientist : Jimmy Voyles For data sets, see below. Abstract Radiosonde launches from NSA were timed to coincide with overpasses of the Aqua satellite carrying the AIRS sensor for the purpose of providing in situ validation data for development and

  2. Validation of International Atomic Energy Agency Equipment Performance Requirements

    SciTech Connect (OSTI)

    Chiaro, PJ

    2004-02-17

    Performance requirements and testing protocols are needed to ensure that equipment used by the International Atomic Energy Agency (IAEA) is reliable. Oak Ridge National Laboratory (ORNL), through the US Support Program, tested equipment to validate performance requirements protocols used by the IAEA for the subject equipment categories. Performance protocol validation tests were performed in the Environmental Effects Laboratory in the categories for battery, DC power supply, and uninterruptible power supply (UPS). Specific test results for each piece of equipment used in the validation process are included in this report.

  3. LLNL Final Design for PDV Measurements of Godiva for Validation...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: LLNL Final Design for PDV Measurements of Godiva for Validation of Multi-Physics Simulation Citation Details In-Document Search Title: LLNL Final Design for PDV...

  4. Southwest Regional Partnership for Carbon Sequestration--Validation...

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

    NM 87801-4796 575-835-5403 reid@prrc.nmt.edu Southwest Regional Partnership for Carbon Sequestration-Validation Phase Background The U.S. Department of Energy Regional...

  5. LLNL Final Design for PDV Measurements of Godiva for Validation...

    Office of Scientific and Technical Information (OSTI)

    Technical Report: LLNL Final Design for PDV Measurements of Godiva for Validation of Multi-Physics Simulation Citation Details In-Document Search Title: LLNL Final Design for PDV ...

  6. Validation of the G-PASS code : status report.

    SciTech Connect (OSTI)

    Vilim, R. B.; Nuclear Engineering Division

    2009-03-12

    Validation is the process of determining whether the models in a computer code can describe the important phenomena in applications of interest. This report describes past work and proposed future work for validating the Gas Plant Analyzer and System Simulator (G-PASS) code. The G-PASS code was developed for simulating gas reactor and chemical plant system behavior during operational transients and upset events. Results are presented comparing code properties, individual component models, and integrated system behavior against results from four other computer codes. Also identified are two experiment facilities nearing completion that will provide additional data for individual component and integrated system model validation. The main goal of the validation exercise is to ready a version of G-PASS for use as a tool in evaluating vendor designs and providing guidance to vendors on design directions in nuclear-hydrogen applications.

  7. CRAD, Verification and Validation of Facilities Procedures Assessment Plan

    Broader source: Energy.gov [DOE]

    The purpose of this assessment is verify and validate the process for the development of operations procedures and that procedures are in place which provide direction to personnel to ensure that the facility is operated within its design bases.

  8. ARM - Field Campaign - IASI (METOP-A)/ AIRS (AQUA) Validation...

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

    govCampaignsIASI (METOP-A) AIRS (AQUA) Validation Radiosonde Launch Support Campaign Links JAIVEx Website ARM Data Discovery Browse Data Comments? We would love to hear from you...

  9. ARM - Field Campaign - Precision Gas Sampling (PGS) Validation...

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

    govCampaignsPrecision Gas Sampling (PGS) Validation Field Campaign ARM Data Discovery Browse Data Comments? We would love to hear from you Send us a note below or call us at...

  10. ARM - Field Campaign - PGS Validation 2011-2013

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

    Discovery Browse Data Related Campaigns Precision Gas Sampling (PGS) Validation Field Campaign 2008.01.01, Fischer, SGP Comments? We would love to hear from you Send us a note...

  11. REMSView Validation Application - Version 3.1 | Department of...

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

    3.1 Validation Application has been updated as of 392010. The application is a Java application and can be run on any computer system that can run Java. The interface is a...

  12. Validation of a radar doppler spectra simulator using measurements from the ARM cloud radars

    SciTech Connect (OSTI)

    Remillard, J.; Luke, E.; Kollias, P.

    2010-03-15

    The use of forward models as an alternative approach to compare models with observations contains advantages and challenges. Radar Doppler spectra simulators are not new; their application in high- resolution models with bin microphysics schemes could help to compare model output with the Doppler spectra recorded from the vertically pointing cloud radars at the ARM Climate Research Facility sites. The input parameters to a Doppler spectra simulator are both microphysical (e.g., particle size, shape, phase, and number concentration) and dynamical (e.g., resolved wind components and sub-grid turbulent kinetic energy). Libraries for spherical and non-spherical particles are then used to compute the backscattering cross-section and fall velocities, while the turbulence is parameterized as a Gaussian function with a prescribed width. The Signal-to-Noise Ratio (SNR) is used to determine the amount of noise added throughout the spectrum, and the spectral smoothing due to spectral averages is included to reproduce the averaging realized by cloud radars on successive returns. Thus, realistic Doppler spectra are obtained, and several parameters that relate to the morphological characteristics of the synthetically generated spectra are computed. Here, the results are compared to the new ARM microARSCL data products in an attempt to validate the simulator. Drizzling data obtained at the SGP site by the MMCR and the AMF site at Azores using the WACR are used to ensure the liquid part and the turbulence representation part of the simulator are properly accounted in the forward model.

  13. Validation of Multiple Tools for Flat Plate Photovoltaic Modeling Against Measured Data

    SciTech Connect (OSTI)

    Freeman, J.; Whitmore, J.; Blair, N.; Dobos, A. P.

    2014-08-01

    This report expands upon a previous work by the same authors, published in the 40th IEEE Photovoltaic Specialists conference. In this validation study, comprehensive analysis is performed on nine photovoltaic systems for which NREL could obtain detailed performance data and specifications, including three utility-scale systems and six commercial scale systems. Multiple photovoltaic performance modeling tools were used to model these nine systems, and the error of each tool was analyzed compared to quality-controlled measured performance data. This study shows that, excluding identified outliers, all tools achieve annual errors within +/-8% and hourly root mean squared errors less than 7% for all systems. It is further shown using SAM that module model and irradiance input choices can change the annual error with respect to measured data by as much as 6.6% for these nine systems, although all combinations examined still fall within an annual error range of +/-8.5%. Additionally, a seasonal variation in monthly error is shown for all tools. Finally, the effects of irradiance data uncertainty and the use of default loss assumptions on annual error are explored, and two approaches to reduce the error inherent in photovoltaic modeling are proposed.

  14. Bill Gates visit to Idaho validates innovation role for national

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

    laboratories FOR IMMEDIATE RELEASE Oct. 24, 2013 NEWS MEDIA CONTACTS: Amy Lientz, 208-520-7718, amy.lientz@inl.gov Teri Ehresman, 208-526-7785, teri.ehresman@inl.gov Bill Gates visit to Idaho validates innovation role for national laboratories IDAHO FALLS - Privately funded research utilizing government owned facilities validates the important role national laboratories have in advancing innovation. Bill Gates, American business magnate and chair of the nuclear reactor startup company

  15. Validating Savings Claims of Cold Climate Zero Energy Ready Homes

    SciTech Connect (OSTI)

    Williamson, J.; Puttagunta, S.

    2015-06-05

    This study was intended to validate actual performance of three ZERHs in the Northeast to energy models created in REM/Rate v14.5 (one of the certified software programs used to generate a HERS Index) and the National Renewable Energy Laboratory’s Building Energy Optimization (BEopt™) v2.3 E+ (a more sophisticated hourly energy simulation software). This report details the validation methods used to analyze energy consumption at each home.

  16. Optical Measurement Methods used in Calibration and Validation of Modeled

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

    Injection Spray Characteristics | Department of Energy Optical Measurement Methods used in Calibration and Validation of Modeled Injection Spray Characteristics Optical Measurement Methods used in Calibration and Validation of Modeled Injection Spray Characteristics Poster presented at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. PDF icon p-07_klyza.pdf More Documents & Publications Effect of Ambient Pressure on

  17. PV Performance and Reliability Validation Capabilities at Sandia National Laboratories

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

    Performance and Reliability Validation PV Performance and Reliability Validation Capabilities at Sandia National Laboratories and The National Renewable Energy Laboratory PV MANUFACTURING WORKSHOP - MARCH 25, 2011 Presented by: Jennifer E Granata Sandia National Laboratories With Contributions from: Keith Emery, Sarah Kurtz, and Bill Marion at NREL Michael Quintana and Chris Cameron at Sandia Sandia is a multiprogram laboratory operated by Sandia Corporation, a Lockheed Martin Company, for the

  18. Validation of hydrogeochemical codes using the New Zealand geothermal

    Office of Scientific and Technical Information (OSTI)

    system (Conference) | SciTech Connect Conference: Validation of hydrogeochemical codes using the New Zealand geothermal system Citation Details In-Document Search Title: Validation of hydrogeochemical codes using the New Zealand geothermal system × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional

  19. PV Validation and Bankability Workshop | Department of Energy

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

    presentation summarizes the information given by DOE during the Photovoltaic Validation and Bankability Workshop in San Jose, California, on August 31, 2011. PDF icon doe_lynn_pv_validation_2011_aug.pdf More Documents & Publications Overcoming the Barrier to Achieving Large-Scale Production - A Case Study Federal Energy Management Program Report Template Systems Integration (Fact Sheet), SunShot Initiative, U.S. Department of Energy (DOE)

  20. Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation

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

    Project (Technical Report) | SciTech Connect Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project Citation Details In-Document Search Title: Controlled Hydrogen Fleet and Infrastructure Demonstration and Validation Project × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional