Sample records for hospital energy benchmarking

  1. Hospital Energy Benchmarking Guidance - Version 1.0

    SciTech Connect (OSTI)

    Singer, Brett C.

    2009-09-08T23:59:59.000Z

    This document describes an energy benchmarking framework for hospitals. The document is organized as follows. The introduction provides a brief primer on benchmarking and its application to hospitals. The next two sections discuss special considerations including the identification of normalizing factors. The presentation of metrics is preceded by a description of the overall framework and the rationale for the grouping of metrics. Following the presentation of metrics, a high-level protocol is provided. The next section presents draft benchmarks for some metrics; benchmarks are not available for many metrics owing to a lack of data. This document ends with a list of research needs for further development.

  2. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    important for the cooling system (supply and return flows)hospital building - Cooling water supply/return from centralhospital building - Cooling water supply/return from central

  3. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    energy use for ventilation, cooling and heating. flow byservice (domestic) water heating and ventilation, the draftTHERMAL AND VENTILATION SYSTEM EFFICIENCIES Heating & DHW

  4. Benchmarking Corporate Energy Management

    E-Print Network [OSTI]

    Norland, D. L.

    BENCHMARKING CORPORATE ENERGY MANAGEMENT Dr. Douglas L. Norland Director of Research and Industrial Programs Alliance to Save Energy Washington, DC ABSTRACT There is growing interest among energy managers in finding out how their company...'s energy management procedures and perfonnance compare to that of other companies. Energy management involves everything from setting goals and targets to implementing best maintenance practices. This paper, however, discusses benchmarking energy...

  5. Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager

    Broader source: Energy.gov [DOE]

    Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager Webinar.

  6. Building Energy Use Benchmarking Guidance

    Broader source: Energy.gov [DOE]

    Guidance describes the Energy Independence and Security Act of 2007 section 432 requirement for benchmarking Federal facilities.

  7. Guide for Benchmarking Residential Energy Efficiency Program...

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

    Guide for Benchmarking Residential Energy Efficiency Program Progress as part of the DOE Better Buildings Program. Guide for Benchmarking Residential Energy Efficiency Program...

  8. Outlook for Industrial Energy Benchmarking 

    E-Print Network [OSTI]

    Hartley, Z.

    2000-01-01T23:59:59.000Z

    OUTLOOK FOR INDUSTRIAL ENERGY BENCHMARKING Zoe Hartley Environmental Protection Specialist U.S. Environmental Protection Agency Washington, DC ABSTRACT The U.S. Environmental Protection Agency is exploring options to sponsor an ~d~ ~~gy...

  9. Outlook for Industrial Energy Benchmarking

    E-Print Network [OSTI]

    Hartley, Z.

    The U.S. Environmental Protection Agency is exploring options to sponsor an industrial energy efficiency benchmarking study to identify facility specific, cost-effective best practices and technologies. Such a study could help develop a common...

  10. Cleanroom energy benchmarking results

    E-Print Network [OSTI]

    Tschudi, William; Xu, Tengfang

    2001-01-01T23:59:59.000Z

    and L.E. Lock. 1996. Energy Efficiency in CaliforniaTech Industries. California Energy Commission Final Report,Commercial Buildings Energy Consumption Surveys (CBECS),

  11. Benchmarks for industrial energy efficiency

    SciTech Connect (OSTI)

    Amarnath, K.R. [Electric Power Research Inst., Palo Alto, CA (United States); Kumana, J.D. [Linnhoff March, Inc., Houston, TX (United States); Shah, J.V. [Electric Power Research Inst., Pittsburgh, PA (United States). Chemicals and Petroleum Center

    1996-12-31T23:59:59.000Z

    What are the standards for improving energy efficiency for industries such as petroleum refining, chemicals, and glass manufacture? How can different industries in emerging markets and developing accelerate the pace of improvements? This paper discusses several case studies and experiences relating to this subject emphasizing the use of energy efficiency benchmarks. Two important benchmarks are discussed. The first is based on a track record of outstanding performers in the related industry segment; the second benchmark is based on site specific factors. Using energy use reduction targets or benchmarks, projects have been implemented in Mexico, Poland, India, Venezuela, Brazil, China, Thailand, Malaysia, Republic of South Africa and Russia. Improvements identified through these projects include a variety of recommendations. The use of oxy-fuel and electric furnaces in the glass industry in Poland; reconfiguration of process heat recovery systems for refineries in China, Malaysia, and Russia; recycling and reuse of process wastewater in Republic of South Africa; cogeneration plant in Venezuela. The paper will discuss three case studies of efforts undertaken in emerging market countries to improve energy efficiency.

  12. Restaurant Energy Use Benchmarking Guideline

    SciTech Connect (OSTI)

    Hedrick, R.; Smith, V.; Field, K.

    2011-07-01T23:59:59.000Z

    A significant operational challenge for food service operators is defining energy use benchmark metrics to compare against the performance of individual stores. Without metrics, multiunit operators and managers have difficulty identifying which stores in their portfolios require extra attention to bring their energy performance in line with expectations. This report presents a method whereby multiunit operators may use their own utility data to create suitable metrics for evaluating their operations.

  13. Technology Benchmarking | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic| Department ofGeneralWindBuildingOffice28-98ProductionBenchmarking

  14. Benchmarking & Energy Master Planning in Schools

    E-Print Network [OSTI]

    Bronk, S.

    2014-01-01T23:59:59.000Z

    We change the way people use energy™ Benchmarking & Energy Master Planning in Schools ESL-KT-14-11-03 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Project implementation barriers ? Obtaining management commitment...: technical assistance & communications support ? Education and support services ? Benchmarking ? Energy Master Planning ? Opportunity screening ESL-KT-14-11-03 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Getting started 4...

  15. Energy Performance Benchmarking and Disclosure Policies for Public...

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

    information on Energy Performance Benchmarking and Disclosure Policies for Public and Commercial Buildings Presentation Transcript More Documents & Publications...

  16. ENERGY STAR Portfolio Manager and Utility Benchmarking Programs...

    Energy Savers [EERE]

    ENERGY STAR Portfolio Manager and Utility Benchmarking Programs: Effectiveness as a Conduit to Utility Energy Efficiency Programs ENERGY STAR Portfolio Manager and Utility...

  17. Plant Level Energy Performance Benchmarking

    E-Print Network [OSTI]

    Hicks, T. W.

    then be used to construct models that may act as the basis for assessing individual plant performance relative to a peer group. Database Manufacturing Energy Consumption Survey The Manufacturing Energy Consumption Survey (MECS), administered by the EIA....S. economy as defined by the Office of Management and Budget. With a sample size of 22,173 establishments, the MECS was undertaken to represent approximately 250,000 of the largest manufacturing establishments which translates to roughly 98 percent...

  18. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    J.W. "Professional Energy Audit Points Way to $100,000Hosp-79-3 NIA HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY R. I.information. HOSPITAL ENERGY AUDIT REPORTS Anco Engineers

  19. AN ENERGY BENCHMARK FOR SOFTWARE UPDATES ON WIRELESS SENSOR NODES

    E-Print Network [OSTI]

    Sreenan, Cormac J.

    AN ENERGY BENCHMARK FOR SOFTWARE UPDATES ON WIRELESS SENSOR NODES S. Brown*, C.J. Sreenan *Dept, Modelling, Energy, Benchmark. Abstract Energy consumption is arguably the key factor in the design not consume a significant fraction of a WSN's energy reserve; also, the required consumption must be known

  20. State and Local Energy Benchmarking and Disclosure Policy | Department...

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

    Benchmarking, Rating, and Disclosure for State Governments: This fact sheet provides information on how access to energy use data can help state governments lead by example by...

  1. BEST Winery Guidebook: Benchmarking and Energy and Water Savings Tool for the Wine Industry

    E-Print Network [OSTI]

    Galitsky, Christina; Worrell, Ernst; Radspieler, Anthony; Healy, Patrick; Zechiel, Susanne

    2005-01-01T23:59:59.000Z

    treated onsite). Pumping energy for wine for the benchmarkwine industry called “BEST (Benchmarking and Energy andBENCHMARKING AND ENERGY AND WATER SAVINGS TOOL FOR THE WINE

  2. Optional Residential Program Benchmarking | Department of Energy

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

    Data and Evaluation Peer Exchange Call Series: Optional Residential Program Benchmarking, Call Slides and Discussion Summary, January 23, 2014. Call Slides and Discussion Summary...

  3. Issues and Challenges in Energy Benchmarking

    E-Print Network [OSTI]

    Birchfield, G. S.

    Benchmarking helps people understand where they stand and where they need to be to stay competitive. It provides guidance on how to get to where you want to go. Benchmarking has been conducted in the hydrocarbon processing industry for many decades...

  4. Energy Benchmarking and Disclosure | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2: Final EnvironmentalCounties, Idaho || Department:JuneEnergy Literacy »Assurance

  5. Building Energy Use Benchmarking | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy:WhetherNovember 13,National RenewableEnergyView the

  6. Department of Energy Commercial Building Benchmarks (New Construction): Energy Use Intensities, May 5, 2009

    Broader source: Energy.gov [DOE]

    This file contains the energy use intensities (EUIs) for the benchmark building files by building type and climate zone.

  7. Good Samaritan Hospital`s energy efficiency improvements

    SciTech Connect (OSTI)

    Sterrett, R.; Dobberpuhl, W.; Gernet, B.; O`Brien, T.

    1995-06-01T23:59:59.000Z

    Arizona Public Service (APS) encourages its customers to use energy wisely by providing incentives to install energy efficient systems. APS provided an incentive to the Good Samaritan Hospital, located in Phoenix, Arizona, to install a Waste Heat Recovery Unit and an Economizer Cooling System to improve the performance of the hospital`s central plant. Waste heat recovered from the boilers stacks is used to preheat combustion air and boiler feed water. The Economizer Cooling System uses a plate and frame heat exchanger to cool the hospital with cold water produced by the cooling tower rather than an electrical chiller. To determine the effectiveness of these two systems APS initiated a project to monitor their performance. Alternative Energy Systems Consulting, Inc. (AESC) has installed instrumentation to monitor the performance of the above systems and will document their energy savings and effectiveness at reducing energy costs.

  8. Optional Residential Program Benchmarking | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagementOPAM PolicyOfEnergy Online1 MarchOpti-MNOptional Residential

  9. Energy Performance Benchmarking and Disclosure Policies

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

    support to the Existing Commercial Buildings Working Group of the State and Local Energy Efficiency Action Network or SEE Action. I'm going to be serving as your host for...

  10. Vehicle Technologies Office: Benchmarking | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilA group current C3EDepartmentDepartment ofConstruction|(EVSE)Each year,

  11. Benchmarking Help Center Guide | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,Commerce |CommitteeofHelp Center

  12. Benchmarking of Competitive Technologies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,CommercePolicy Languageof1 DOE

  13. Benchmarking of Competitive Technologies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,CommercePolicy Languageof1 DOE10

  14. Benchmarking of Competitive Technologies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,CommercePolicy Languageof1 DOE1009

  15. Benchmarking of Competitive Technologies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform isEnergy Committee onEnergyNaturalField ExperimentEV andof

  16. Designing a Benchmarking Plan | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T A * S H I E L DBypass RegenerationVillage

  17. A comparison of global optimization algorithms with standard benchmark functions and real-world applications using Energy Plus

    E-Print Network [OSTI]

    Kamph, Jerome Henri

    2010-01-01T23:59:59.000Z

    hybrid PSO/HJ, in minimizing standard benchmark functions and real-world building energy optimization

  18. Benchmark the Fuel Cost of Steam Generation | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform isEnergy Committee onEnergyNaturalField Experiment |Benchmark

  19. Advanced Technology Vehicle Benchmark and Assessment | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment ofBenchmark and Assessment

  20. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    of electricity generation from primary fuel, losses inof electricity generation from primary fuel, losses in

  1. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    with filter loading. Boiler efficiencies: - kBtu out / kBtuhospital Heating water boiler efficiency: Base on availableout / kBtu in Steam boiler efficiency: Base on available

  2. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    6 Table 2. Thermal and ventilation system2009 Table 2. Thermal and ventilation system efficiencies.THERMAL AND VENTILATION SYSTEM EFFICIENCIES Metric Data

  3. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    facility. The use of waste heat (e.g. to preheat domesticsystems making use of the waste heat. Spatial resolution.

  4. Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager

    Broader source: Energy.gov [DOE]

    Before we jump into today’s presentations I would like to take a few moments to describe the DOE Technical Assistance Program (TAP) a little further. TAP is managed by a team in DOE’s Weatherization and Intergovernmental Program - Office of Energy Efficiency and Renewable Energy.

  5. Metrics and Benchmarks for Energy Efficiency in Laboratories

    SciTech Connect (OSTI)

    Rumsey Engineers; Mathew, Paul; Mathew, Paul; Greenberg, Steve; Sartor, Dale; Rumsey, Peter; Weale, John

    2008-04-10T23:59:59.000Z

    A wide spectrum of laboratory owners, ranging from universities to federal agencies, have explicit goals for energy efficiency in their facilities. For example, the Energy Policy Act of 2005 (EPACT 2005) requires all new federal buildings to exceed ASHRAE 90.1-2004 [1] by at least 30%. A new laboratory is much more likely to meet energy efficiency goals if quantitative metrics and targets are specified in programming documents and tracked during the course of the delivery process. If not, any additional capital costs or design time associated with attaining higher efficiencies can be difficult to justify. This article describes key energy efficiency metrics and benchmarks for laboratories, which have been developed and applied to several laboratory buildings--both for design and operation. In addition to traditional whole building energy use metrics (e.g. BTU/ft{sup 2}.yr, kWh/m{sup 2}.yr), the article describes HVAC system metrics (e.g. ventilation W/cfm, W/L.s{sup -1}), which can be used to identify the presence or absence of energy features and opportunities during design and operation.

  6. Metrics and Benchmarks for Energy Efficiency in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul

    2007-10-26T23:59:59.000Z

    A wide spectrum of laboratory owners, ranging from universities to federal agencies, have explicit goals for energy efficiency in their facilities. For example, the Energy Policy Act of 2005 (EPACT 2005) requires all new federal buildings to exceed ASHRAE 90.1-2004 1 by at least 30 percent. The University of California Regents Policy requires all new construction to exceed California Title 24 2 by at least 20 percent. A new laboratory is much more likely to meet energy efficiency goals if quantitative metrics and targets are explicitly specified in programming documents and tracked during the course of the delivery process. If efficiency targets are not explicitly and properly defined, any additional capital costs or design time associated with attaining higher efficiencies can be difficult to justify. The purpose of this guide is to provide guidance on how to specify and compute energy efficiency metrics and benchmarks for laboratories, at the whole building as well as the system level. The information in this guide can be used to incorporate quantitative metrics and targets into the programming of new laboratory facilities. Many of these metrics can also be applied to evaluate existing facilities. For information on strategies and technologies to achieve energy efficiency, the reader is referred to Labs21 resources, including technology best practice guides, case studies, and the design guide (available at www.labs21century.gov/toolkit).

  7. DOE Resources Help Measure Building Energy Benchmarking Policy...

    Energy Savers [EERE]

    The Handbook also provides an extensive, holistic framework for evaluating the market transformation progress of benchmarking policies. It is a "how-to" guide with clear...

  8. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    J.W. "Professional Energy Audit Points Way to $100,0001974 February; 18:57-9. "Energy Audit Procedures. Ii FederalConsultants, Inc. "The Energy Audit: Energy Management."

  9. Energy consumption characterization as an input to building management and performance benchmarking - a case study PPT 

    E-Print Network [OSTI]

    Bernardo, H.; Neves, L.; Oliveira, F.; Quintal, E.

    2012-01-01T23:59:59.000Z

    The present paper aims at describing the methodology and presents some final results of a work developed in the field of building energy benchmarking applied to the buildings of the Polytechnic Institute of Leiria, based on a thorough energy...

  10. Groundwater flow with energy transport and waterice phase change: Numerical simulations, benchmarks, and application to

    E-Print Network [OSTI]

    McKenzie, Jeffrey M.

    saturated, coupled porewater-energy transport, with freezing and melting porewater, and includes propor transport; Freezing; Cold regions; Benchmark; Modelling 1. Introduction The freezing and thawingGroundwater flow with energy transport and water­ice phase change: Numerical simulations

  11. Department of Energy Announces the Launch of the Hospital Energy...

    Energy Savers [EERE]

    of advanced energy efficiency and renewable technologies in hospital design, construction, retrofit, operations, and maintenance. DOE's Richard F. Moorer joined American...

  12. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    1978 Federal Energy Administration. Office of ConservationD.C. : Federal Energy Administration; 1975 June; 748 p. See:D.C. : Federal Energy Administration; 1976 September, FEA/D-

  13. Plant Energy Benchmarking: A Ten Year Retrospective of the ENERGY STAR Energy Performace Indicators (ES-EPI)

    E-Print Network [OSTI]

    Boyd, G.; Tunnessen, W.

    2013-01-01T23:59:59.000Z

    Over the past several years, there has been growing interest among policy makers and others in the role that benchmarking industrial energy efficiency can play in climate, air, and other potential regulatory actives. For over ten years, the US EPA...

  14. STEP Program Benchmark Report

    Broader source: Energy.gov [DOE]

    STEP Program Benchmark Report, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  15. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul

    2007-01-01T23:59:59.000Z

    e.g. , W/sf lighting power density (LPD). Benchmark: aballast efficacy, lighting power density, etc. There are twoetc. Installed lighting power density (W/nsf): This refers

  16. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    and sterilization and incineration (2%). The energy savingand Tsou, F. "Solid Waste Incineration Energy Recovery inSystems Small-scale, on-site incineration is examined as one

  17. Benchmarking and Energy Saving Tool | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass Conversions IncBayBelmont County, Ohio: EnergyBelvedere,Hill

  18. Energy consumption characterization as an input to building management and performance benchmarking - a case study PPT

    E-Print Network [OSTI]

    Bernardo, H.; Neves, L.; Oliveira, F.; Quintal, E.

    2012-01-01T23:59:59.000Z

    performance characterization of each of its buildings, looking specifically at the typology of canteen. Developing building energy performance benchmarking systems enables the comparison of actual consumption of individual buildings against others of the same...

  19. 13-Feb-2008 submitted to Energy Engineering Action-Oriented Benchmarking

    E-Print Network [OSTI]

    or gas utilities to maintain energy consumption data for non-residential buildings in a format or absolute energy consumption and intensity indicators. Uses of energy benchmarking as applied to buildings of the data for a building to the Energy Star Portfolio Manager. Effective January 1, 2010 non

  20. How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data

    E-Print Network [OSTI]

    by the New York State Energy Research and Development Authority (NYSERDA) and the Assistant Secretary Energy Commission, Pacific Gas and Electric Co., the U.S. Department of Energy and the New York StateHow Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center

  1. A Dynamic and Context-Driven Benchmarking Framework for Zero-Net-Energy Buildings

    E-Print Network [OSTI]

    Pala, Nezih

    A Dynamic and Context-Driven Benchmarking Framework for Zero-Net- Energy Buildings Youngcheol Kang1, there have been various efforts to design and develop zero-net-energy (ZNE) buildings. A ZNE building a significant portion of energy produced in the United States. In order to achieve Zero-Net-Energy (ZNE

  2. Introduction to Benchmarking: Starting a Benchmarking Plan

    Broader source: Energy.gov [DOE]

    Presentation for the Introduction to Benchmarking: Starting a Benchmarking Plan webinar, presented on February 21, 2013 as part of the U.S. Department of Energy's Technical Assistance Program (TAP).

  3. Development of an Energy Savings Benchmark for All Residential End-Uses: Preprint

    SciTech Connect (OSTI)

    Hendron, R.; Anderson, R.; Christensen, C.; Eastment, M.; Reeves, P.

    2004-08-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in 2003. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines, with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a''standard'' set of occupants, was created for use in conjunction with the Benchmark. Finally, a set of tools was developed by NREL and other Building America partners to help analysts compare whole-house energy use for a Prototype house to the Benchmark in a fair and consistent manner.

  4. Benchmark quality total atomization energies of small polyatomic Jan M. L. Martin

    E-Print Network [OSTI]

    Martin, Jan M.L.

    Benchmark quality total atomization energies of small polyatomic molecules Jan M. L. Martin Successive coupled-cluster CCSD T calculations in basis sets of spdf, spdfg, and spdfgh quality, combined are insuffi- cient in both quality and quantity for many purposes, and ab initio calculations constitute

  5. BEST Winery Guidebook: Benchmarking and Energy and Water SavingsTool for the Wine Industry

    SciTech Connect (OSTI)

    Galitsky, Christina; Worrell, Ernst; Radspieler, Anthony; Healy,Patrick; Zechiel, Susanne

    2005-10-15T23:59:59.000Z

    Not all industrial facilities have the staff or the opportunity to perform a detailed audit of their operations. The lack of knowledge of energy efficiency opportunities provides an important barrier to improving efficiency. Benchmarking has demonstrated to help energy users understand energy use and the potential for energy efficiency improvement, reducing the information barrier. In California, the wine making industry is not only one of the economic pillars of the economy; it is also a large energy consumer, with a considerable potential for energy-efficiency improvement. Lawrence Berkeley National Laboratory and Fetzer Vineyards developed an integrated benchmarking and self-assessment tool for the California wine industry called ''BEST''(Benchmarking and Energy and water Savings Tool) Winery. BEST Winery enables a winery to compare its energy efficiency to a best practice winery, accounting for differences in product mix and other characteristics of the winery. The tool enables the user to evaluate the impact of implementing energy and water efficiency measures. The tool facilitates strategic planning of efficiency measures, based on the estimated impact of the measures, their costs and savings. BEST Winery is available as a software tool in an Excel environment. This report serves as background material, documenting assumptions and information on the included energy and water efficiency measures. It also serves as a user guide for the software package.

  6. Guidebook for Using the Tool BEST Cement: Benchmarking and Energy Savings Tool for the Cement Industry

    SciTech Connect (OSTI)

    Galitsky, Christina; Price, Lynn; Zhou, Nan; Fuqiu , Zhou; Huawen, Xiong; Xuemin, Zeng; Lan, Wang

    2008-07-30T23:59:59.000Z

    The Benchmarking and Energy Savings Tool (BEST) Cement is a process-based tool based on commercially available efficiency technologies used anywhere in the world applicable to the cement industry. This version has been designed for use in China. No actual cement facility with every single efficiency measure included in the benchmark will likely exist; however, the benchmark sets a reasonable standard by which to compare for plants striving to be the best. The energy consumption of the benchmark facility differs due to differences in processing at a given cement facility. The tool accounts for most of these variables and allows the user to adapt the model to operational variables specific for his/her cement facility. Figure 1 shows the boundaries included in a plant modeled by BEST Cement. In order to model the benchmark, i.e., the most energy efficient cement facility, so that it represents a facility similar to the user's cement facility, the user is first required to input production variables in the input sheet (see Section 6 for more information on how to input variables). These variables allow the tool to estimate a benchmark facility that is similar to the user's cement plant, giving a better picture of the potential for that particular facility, rather than benchmarking against a generic one. The input variables required include the following: (1) the amount of raw materials used in tonnes per year (limestone, gypsum, clay minerals, iron ore, blast furnace slag, fly ash, slag from other industries, natural pozzolans, limestone powder (used post-clinker stage), municipal wastes and others); the amount of raw materials that are preblended (prehomogenized and proportioned) and crushed (in tonnes per year); (2) the amount of additives that are dried and ground (in tonnes per year); (3) the production of clinker (in tonnes per year) from each kiln by kiln type; (4) the amount of raw materials, coal and clinker that is ground by mill type (in tonnes per year); (5) the amount of production of cement by type and grade (in tonnes per year); (6) the electricity generated onsite; and, (7) the energy used by fuel type; and, the amount (in RMB per year) spent on energy. The tool offers the user the opportunity to do a quick assessment or a more detailed assessment--this choice will determine the level of detail of the energy input. The detailed assessment will require energy data for each stage of production while the quick assessment will require only total energy used at the entire facility (see Section 6 for more details on quick versus detailed assessments). The benchmarking tool provides two benchmarks--one for Chinese best practices and one for international best practices. Section 2 describes the differences between these two and how each benchmark was calculated. The tool also asks for a target input by the user for the user to set goals for the facility.

  7. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul

    2007-01-01T23:59:59.000Z

    tons/gsf), boiler efficiency (%), pump- ing efficiency (hp/F W/gpm H7 Reheat Energy Use Factor Boiler Rated EfficiencyBoiler Part Load Efficiency Energy Recovery System

  8. The Role of Benchmarking in Promoting Strong Energy Management Systems

    E-Print Network [OSTI]

    Tunnessen, W.

    2010-01-01T23:59:59.000Z

    The significance of formalized energy management practices and programs in driving and sustaining energy efficiency improvements within the industrial sector has become more widely recognized over the past several years. The release of the ISO 50001...

  9. The Role of Benchmarking in Promoting Strong Energy Management Systems 

    E-Print Network [OSTI]

    Tunnessen, W.

    2010-01-01T23:59:59.000Z

    The significance of formalized energy management practices and programs in driving and sustaining energy efficiency improvements within the industrial sector has become more widely recognized over the past several years. ...

  10. Energy Star for Hospitals 2011 Update: Progression or Regression?

    E-Print Network [OSTI]

    Travis, B.

    2012-01-01T23:59:59.000Z

    Agency created Energy Star for Buildings, as well as Portfolio Manager, an online benchmarking tool which allowed users to input their utility bills while simultaneously tracking important energy performance metrics for their building..., such as the Energy Utilization Intensity (E.U.I.) and Energy Cost Intensity (E.C.I.). Since its inception, Portfolio Manager has also added the ability to track water consumption, as well as greenhouse gas emissions. As of September of 2011, the U.S. EPA...

  11. Evaluation of Miscellaneous and Electronic Device Energy Use in Hospitals

    E-Print Network [OSTI]

    1 Evaluation of Miscellaneous and Electronic Device Energy Use in Hospitals Douglas R and Electronic Device Energy Use in Hospitals Douglas R. Black*, Steven M. Lanzisera, Judy Lai, Richard E. Brown@lbl.gov, REBrown@lbl.gov, and BCSinger@lbl.gov *Corresponding Author Abstract: Miscellaneous and electronic loads

  12. Federal Building Energy Use Benchmarking Guidance, August 2014 Update |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOnSTATEMENT OF DAVIDThe data dashboardA A NA NA R NA

  13. Federal Government Project Performance Benchmarks | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOnSTATEMENT OF DAVIDThe data dashboardA A 1ChipSteven1999;

  14. Guide for Benchmarking Residential Energy Efficiency Program Progress |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To: CongestionDevelopment ofof EnergyEnvironmentalAnalysis

  15. ENERGY STAR Portfolio Manager and Utility Benchmarking Programs:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpact StatementDepartmentFrontCallChair toSTAR Certified

  16. Energy Benchmarking, Rating, and Disclosure for Local Governments |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2, 2014 inJohn Schueler John Schueler

  17. Energy Benchmarking, Rating, and Disclosure for State Governments |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2, 2014 inJohn Schueler John SchuelerDepartment of

  18. Energy Performance Benchmarking and Disclosure Policies for Public and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOn July 2,and/or local financialDepartment2 AFebruary 19,

  19. Energy Efficient Cities: Assessment Tool and Benchmarking Practices | Open

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualPropertyd8c-a9ae-f8521cbb8489 No revision|LLC Place: Ketchum, Idaho(1) DatapaloozaEnergy

  20. Monitoring and Benchmarking for Energy Information Systems | Department of

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement of the National

  1. Energy Use and Costs in Texas Schools and Hospitals

    E-Print Network [OSTI]

    Dunn, J. R.

    1998-01-01T23:59:59.000Z

    Procedures are presented for documenting and graphically presenting the monthly and annual energy use and costs for schools and hospitals. Collected data include monthly electrical energy consumed, monthly total electrical cost, monthly electrical...

  2. Action-Oriented Benchmarking: Concepts and Tools

    E-Print Network [OSTI]

    Mills, Evan; California Energy Commission

    2008-01-01T23:59:59.000Z

    simulation (for design) or energy audits (for retrofit), asconventional benchmarking and energy audits. Whole BuildingBenchmarking Investment-Grade Energy Audit Screen facilities

  3. State and Local Energy Benchmarking and Disclosure Policy | Department of

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently AskedEnergyIssues DOE's NuclearSpurring SolarSystem, New Study Says | Department

  4. Post Secondary Project Performance Benchmarks | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHA Administrative Judgea.WorkEconomic Benefit to U.S.Reports five

  5. Public Housing Project Performance Benchmarks | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014, an OHASeptember 2010 |ofDepartment ofPart 1021 | DepartmentofA

  6. Monitoring and Benchmarking for Energy Information Systems | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaeferApril 1,(EAC)TABLE OF CONTENTSTogetherTheSystem | Departmentand

  7. Benchmarking State-of-the-Art Technologies | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform isEnergy Committee onEnergyNaturalField ExperimentEV and

  8. ENERGY STAR Portfolio Manager and Utility Benchmarking Programs:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:RevisedAdvisory Board Contributions EMEM STAR Certified Homes, Version

  9. Testing USABC Deliverables/Benchmarking | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic| DepartmentDepartment ofTankTest Site

  10. K-12 Schools Project Performance Benchmarks | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetter Report: I11IG002RTC3 |JulianProject Phase 1 K BasinsK-12

  11. DOE Resources Help Measure Building Energy Benchmarking Policy & Program

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU WasteAdministratorDeployment |ViolatingEffectiveness

  12. Testing USABC Deliverables/Benchmarking | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOriginEducationVideoStrategic| DepartmentDepartment ofTankTest Site2009 DOE Hydrogen Program and

  13. Guide for Benchmarking Residential Energy Efficiency Program Progress

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration andGuidance onProcedures for

  14. Guide for Benchmarking Residential Energy Efficiency Program Progress |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(Fact Sheet), GeothermalGrid Integration andGuidance onProcedures forDepartment of

  15. Field Study and Energy-Plus Benchmarks for Energy Saver Homes having Different Envelope Designs

    SciTech Connect (OSTI)

    Shrestha, Som S [ORNL] [ORNL; Childs, Kenneth W [ORNL] [ORNL; Stannard, Eric E [ORNL] [ORNL

    2012-01-01T23:59:59.000Z

    An alliance to maximize energy efficiency and cost-effective residential construction (ZEBRAlliance) built and field tested four homes that are 50 percent more energy efficient than a code compliant home. The homes are unoccupied for the duration of a two-year field study, thereby eliminating the confounding issue of occupancy habits. All homes have about the same consistent and scheduled internal load. Each home showcases a unique envelope strategy: 1) structural insulated panel (SIP), 2) optimal value wall framing (OVF), 3) advanced framing featuring the benefits of insulations mixed with phase change materials (PCM), and 4) an exterior insulation and finish system (EIFS). All homes have different weather resistive barriers (WRBs) and/or air barriers to limit air and moisture infiltration. Three homes provide space conditioning and water heating via a ground loop heat exchanger, while the fourth home uses a high efficiency air-to-air heat pump and heat pump water heater. Field performance and results of EnergyPlus V7.0 benchmarks were made for roof and attics as compared to cathedral design and for wall heat flows to validate models. The moisture content of the wall sheathing is shown to prove the protecting effectiveness of WRBs. Temperature distributions through insulations in the wall and ceiling with and without PCMs are described to characterize the performance of the PCM building envelopes.

  16. Evaluation of Miscellaneous and Electronic Device Energy Use in Hospitals

    SciTech Connect (OSTI)

    Black, Douglas R.; Lanzisera, Steven M.; Lai, Judy; Brown, Richard E.; Singer, Brett C.

    2012-09-01T23:59:59.000Z

    Miscellaneous and electronic loads (MELs) consume about one-thirdof the primary energy used in US buildings, and their energy use is increasing faster than other end-uses. In healthcare facilities, 30percent of the annual electricity was used by MELs in 2008. This paper presents methods and challenges for estimating medical MELs energy consumption along with estimates of energy use in a hospital by combining device-level metered data with inventories and usage information. An important finding is that common, small devices consume large amounts of energy in aggregate and should not be ignored when trying to address hospital energy use.

  17. CALIFORNIA ENERGY COMMISSION SPECIAL DISTRICTS HOSPITALS & PUBLIC CARE COLLEGES & UNIVERSITIES

    E-Print Network [OSTI]

    Whether you are building a new facility, renovating an existing one, or want to reduce your energy billsCALIFORNIA ENERGY COMMISSION SPECIAL DISTRICTS HOSPITALS & PUBLIC CARE COLLEGES & UNIVERSITIES F O 2004 www.energy.ca.gov/efficiency/partnership Call (916) 654-4147 #12;The Energy Partnership Program

  18. Technology Benchmarking

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

    all benchmarking information from ANL and ORNL. * Comment: "Want to see directional trends" - The recently completed report documenting benchmarking of the Toyota Camry that...

  19. Hospital ventilation standards and energy conservation: chemical contamination of hospital air. Final report

    SciTech Connect (OSTI)

    Rainer, D.; Michaelsen, G.S.

    1980-03-01T23:59:59.000Z

    In an era of increasing energy conservation consciousness, a critical reassessment of the validity of hospital ventilation and thermal standards is made. If current standards are found to be excessively conservative, major energy conservation measures could be undertaken by rebalancing and/or modification of current HVAC systems. To establish whether or not reducing ventilation rates would increase airborne chemical contamination to unacceptable levels, a field survey was conducted to develop an inventory and dosage estimates of hospital generated airborne chemical contaminants to which patients, staff, and visitors are exposed. The results of the study are presented. Emphasis is on patient exposure, but an examination of occupational exposure was also made. An in-depth assessment of the laboratory air environment is documented. Housekeeping products used in survey hospitals, hazardous properties of housekeeping chemicals and probable product composition are discussed in the appendices.

  20. Advanced Vehicle Benchmarking of HEVs and PHEVs | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment ofBenchmarkControlWaste

  1. Analytical solutions for benchmarking cold regions subsurface water flow and energy transport models: One-dimensional soil thaw

    E-Print Network [OSTI]

    McKenzie, Jeffrey M.

    Analytical solutions for benchmarking cold regions subsurface water flow and energy transport Freezing and thawing a b s t r a c t Numerous cold regions water flow and energy transport models have of powerful simulators of cold regions subsurface water flow and energy transport have emerged in recent years

  2. Large Hospital 50% Energy Savings: Technical Support Document

    SciTech Connect (OSTI)

    Bonnema, E.; Studer, D.; Parker, A.; Pless, S.; Torcellini, P.

    2010-09-01T23:59:59.000Z

    This Technical Support Document documents the technical analysis and design guidance for large hospitals to achieve whole-building energy savings of at least 50% over ANSI/ASHRAE/IESNA Standard 90.1-2004 and represents a step toward determining how to provide design guidance for aggressive energy savings targets. This report documents the modeling methods used to demonstrate that the design recommendations meet or exceed the 50% goal. EnergyPlus was used to model the predicted energy performance of the baseline and low-energy buildings to verify that 50% energy savings are achievable. Percent energy savings are based on a nominal minimally code-compliant building and whole-building, net site energy use intensity. The report defines architectural-program characteristics for typical large hospitals, thereby defining a prototype model; creates baseline energy models for each climate zone that are elaborations of the prototype models and are minimally compliant with Standard 90.1-2004; creates a list of energy design measures that can be applied to the prototype model to create low-energy models; uses industry feedback to strengthen inputs for baseline energy models and energy design measures; and simulates low-energy models for each climate zone to show that when the energy design measures are applied to the prototype model, 50% energy savings (or more) are achieved.

  3. Healthcare Project Performance Benchmarks

    Broader source: Energy.gov [DOE]

    Reports five major performance metrics that can be used to benchmark proposed energy service company projects within the healthcare industry, disaggregated and reported by major retrofit strategy. Author: U.S. Department of Energy

  4. Healthcare Energy: Massachusetts General Hospital Gray Building |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy ChinaofSchaefer To:Department of Energy Completing theWhiz!NREL partnered with

  5. Category:Hospital | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:Power LPInformationCashtonGo Back to PV Economics By Building Type

  6. Energy Department's Hospital Energy Alliance Helps Partner Save Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 Russian NuclearandJunetrackEllen| Department ofBatteries and Energyand Money |

  7. Energy Department's Hospital Energy Alliance Helps Partner Save Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,OfficeEnd of Year 2010 SNFEnergy Policy Act of 2005and Money | Department of

  8. Benchmarking Process Energy Performance From Historical Data: Bringing Sanity into Energy Budgets

    E-Print Network [OSTI]

    Severson, D. S.

    Reducing energy costs has two components: knowledge of process energy consumption and an energy management process. This concept is summed up in energy management's 2-M rule: to manage energy, energy must be measured. After data on process energy...

  9. Technical Support Document: Development of the Advanced Energy Design Guide for Large Hospitals - 50% Energy Savings

    SciTech Connect (OSTI)

    Bonnema, E.; Leach, M.; Pless, S.

    2013-06-01T23:59:59.000Z

    This Technical Support Document describes the process and methodology for the development of the Advanced Energy Design Guide for Large Hospitals: Achieving 50% Energy Savings Toward a Net Zero Energy Building (AEDG-LH) ASHRAE et al. (2011b). The AEDG-LH is intended to provide recommendations for achieving 50% whole-building energy savings in large hospitals over levels achieved by following Standard 90.1-2004. The AEDG-LH was created for a 'standard' mid- to large-size hospital, typically at least 100,000 ft2, but the strategies apply to all sizes and classifications of new construction hospital buildings. Its primary focus is new construction, but recommendations may be applicable to facilities undergoing total renovation, and in part to many other hospital renovation, addition, remodeling, and modernization projects (including changes to one or more systems in existing buildings).

  10. Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    Site Energy Intensity (BTU/sf-yr). A Performance BenchmarkAnnual natural gas energy use (Million BTU) dE3: Annual fueloil energy use (Million BTU) dE4: Annual other fuel energy

  11. Energy Department's Hospital Energy Alliance Helps Partner Save...

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

    Energy Alliance, many healthcare organizations are focusing on energy efficiency as a win-win solution to improve facilities, reduce environmental impacts, and save healthcare...

  12. Review of California and National Methods for Energy Performance Benchmarking of Commercial Buildings

    E-Print Network [OSTI]

    Matson, Nance E.; Piette, Mary Ann

    2005-01-01T23:59:59.000Z

    Survey (CBECS) (DOE/EIA 1999), the Hospitality Research Group’s Trends in the Hotel Industry Database (

  13. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    NRCAN). 2001. Energy Performance Indicator Report: Fluidan overall performance indicator—the energy intensity

  14. Measuring Program Outcomes and Using Benchmarks Webinar

    Broader source: Energy.gov [DOE]

    Measuring Program Outcomes and Using Benchmarks, a webinar from the U.S. Department of Energy's Better Buildings program.

  15. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    2 shows production and energy consumption data for the dairyon production and energy consumption data for the dairy2007. 2002 Energy Consumption by Manufacturers--Data Tables.

  16. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    USA energy growth rate only based on electricity consumptionUSA, contrasting to the decreasing trend of specific energy consumption

  17. DOE Launches EnergySmart Hospitals to Promote Improved Energy...

    Energy Savers [EERE]

    in meeting the challenge of increasing energy efficiency while delivering quality patient care, operating cost-effectively, and maintaining healthy healing and work environments....

  18. High Performance Homes That Use 50% Less Energy Than the DOE Building America Benchmark Building

    SciTech Connect (OSTI)

    Christian, J.

    2011-01-01T23:59:59.000Z

    This document describes lessons learned from designing, building, and monitoring five affordable, energy-efficient test houses in a single development in the Tennessee Valley Authority (TVA) service area. This work was done through a collaboration of Habitat for Humanity Loudon County, the US Department of Energy (DOE), TVA, and Oak Ridge National Laboratory (ORNL).The houses were designed by a team led by ORNL and were constructed by Habitat's volunteers in Lenoir City, Tennessee. ZEH5, a two-story house and the last of the five test houses to be built, provided an excellent model for conducting research on affordable high-performance houses. The impressively low energy bills for this house have generated considerable interest from builders and homeowners around the country who wanted a similar home design that could be adapted to different climates. Because a design developed without the project constraints of ZEH5 would have more appeal for the mass market, plans for two houses were developed from ZEH5: a one-story design (ZEH6) and a two-story design (ZEH7). This report focuses on ZEH6, identical to ZEH5 except that the geothermal heat pump is replaced with a SEER 16 air source unit (like that used in ZEH4). The report also contains plans for the ZEH6 house. ZEH5 and ZEH6 both use 50% less energy than the DOE Building America protocol for energyefficient buildings. ZEH5 is a 4 bedroom, 2.5 bath, 2632 ft2 house with a home energy rating system (HERS) index of 43, which qualifies it for federal energy-efficiency incentives (a HERS rating of 0 is a zero-energy house, and a conventional new house would have a HERS rating of 100). This report is intended to help builders and homeowners build similar high-performance houses. Detailed specifications for the envelope and the equipment used in ZEH5 are compared with the Building America Benchmark building, and detailed drawings, specifications, and lessons learned in the construction and analysis of data gleaned from 94 sensors installed in ZEH5 to monitor electric sub-metered usage, temperature and relative humidity, hot water usage, and heat pump operation for 1 year are presented. This information should be particularly useful to those considering structural insulated panel (SIP) walls and roofing; foundation geothermal heat pumps for space heating and cooling; solar water heaters; and roof-mounted, grid-tied photovoltaic systems. The document includes plans for ZEH6 (adapted from ZEH5), a one-story, high-performance house, as well as projections of how the design might perform in five major metropolitan areas across the TVA service territory. The HERS ratings for this all-electric house vary from 36 (Memphis, Tennessee) to 46 (Bristol, Tennessee).

  19. 2-1-08 submitted to Energy Engineering Action-Oriented Benchmarking

    E-Print Network [OSTI]

    to Benchmark Commercial Buildings in California Paul Mathew & Evan Mills, Lawrence Berkeley National Laboratory of commercial buildings in California. In this article, we first provide an overview of the CEUS database. Next below: 1 #12;· It involved a survey of about 2800 commercial buildings in four utility districts (PG

  20. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    In many parts of the world, energy consumption in industrialthe world. 4.4.2 Specific energy consumption of butter,of world raw milk production . Global energy consumption in

  1. Researching Energy Use in Hospitals | Department of Energy

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO Overview OCHCO OverviewRepository | Department of Energy RequestGas

  2. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    IEA). 2008. Electricity generation by fuel – Norway. IEAfuel, nuclear and renewable energy resources for electricity generation.

  3. Energy Characteristics and Energy Consumed in Large Hospital Buildings in

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEAWaterCool Roofs Energy 101: CoolServices »0

  4. ACEEE Summer Study on Energy in Industry, West Point, NY, July 19-22. 1 Benchmarking Approaches: An Alternate Method to Determine Best

    E-Print Network [OSTI]

    Kissock, Kelly

    : An Alternate Method to Determine Best Practice by Examining Plant-Wide Energy Signatures Yogesh Patil and JohnACEEE Summer Study on Energy in Industry, West Point, NY, July 19-22. 1 Benchmarking Approaches Seryak, Energy & Resource Solutions, Inc. Kelly Kissock, University of Dayton ABSTRACT Baselining

  5. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    plants Total Electricity Fuel Range Range Range USA IAC (study f) USA energy growth rate only based on electricitythe total electricity use for processing milk in the USA

  6. Public Interest Energy Research (PIER) Program Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    Technology Support Unit (ETSU). 1998. Reducing Energy costsand additional reports (ETSU 1998, NRCAN 2001). If theBritain n/a 20.7 g N/A N/A ETSU (1998) Kenya Okoth (1997)

  7. Hospital Renovations

    Broader source: Energy.gov [DOE]

    Hospitals have a range of energy needs that vary from a typical building, and a number of renewable energy options may make more sense for a hospital, including process and biomass heating, photovoltaics (PV), and sustainability.

  8. NREL Technical Reports Guide the Way to 50% Energy Savings in Hospitals, Office Buildings (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-02-01T23:59:59.000Z

    Researchers at the National Renewable Energy Laboratory (NREL) have developed two technical reports that provide recommendations to help designers and operators of large office buildings and hospitals achieve at least a 50% energy savings using existing technology.

  9. HOSPITAL VENTILATION STANDARDS AND ENERGY CONSERVATION: CHEMICAL CONTAMINATION OF HOSPITAL AIR. FINAL REPORT.

    E-Print Network [OSTI]

    Rainer, David

    2012-01-01T23:59:59.000Z

    STANDARDS AND ENERGY CONSERVATION: CHH1ICAL CONTAMINATION OFSTANDARDS AND ENERGY CONSERVATION CHEMICAL CONTAMINATION OFSTANDARDS AND ENERGY CONSERVATION: CHEMICAL CONTAMINATION OF

  10. Measure it, See it, Manage it: Using Real Time Data to Benchmark,Optimize, and Sustain System Energy Efficiency

    SciTech Connect (OSTI)

    Taranto, Thomas; McKane, Aimee; Amon, Ricardo; Maulhardt, Michael

    2007-07-02T23:59:59.000Z

    Even after years of training and awareness building at thestate and national level, industrial cross-cutting systems (motor-driven,steam, process heating) continue to offer significant opportunities forenergy savings. The US Department of Energy estimates these remainingsavings at more than 7 percent of all industrial energy use. This paperpresents a different approach to promoting industrial system energyefficiency -- providing plant personnel with ready access to data uponwhich to base energy management decisions.In 2005, a Del Monte Foodsfruit processing plant in Modesto, California worked with LawrenceBerkeley National Laboratory (LBNL)to specify and purchase permanentinstrumentation for monitoring their compressed air system. This work,completed as part of a demonstration project under a State TechnologiesAdvancement Collaborative (STAC) grant, was designed to demonstrate theeffectiveness of enterprise energy management (EEM), which is predicatedon the assumption that the energy efficiency of existing, cross-cuttingindustrial systems (motor-driven, steam) can be improved by providingmanagement and operating personnel with real-time data on energy use. Theinitial STAC grant provided for the installation and some initialanalyses, but did not address the larger issue of integrating these newdata into an ongoing energy management program for the compressed airsystem.The California Energy Commission (CEC) decided to support furtheranalysis to identify potential for air system optimization. Through theCEC's Energy in Agriculture Program, a compressed air system audit wasperformed by Tom Taranto to: Measure and document the system's baselineand CASE Index of present operation; Establish methods to sustain anongoing CASE Index measure of performance; Use AIRMaster+ to analyzesupply side performance as compared to the CASE Index; Identify demandside opportunities for efficiency and performance improvement; Assesssupply / demand balance and energy reduction opportunities; Evaluate thepresent air compressor control strategy and potential improvement, andCollect data to benchmark parameters for compressed air systems atsimilar facilities.This paper addresses the benefits and limitations ofboth continuous and targeted measurement in benchmarking, optimizing, andsustaining an efficient compressed air system. Included are methods usedin applying both of these measurements to a complex industrial system.Further, this paper will describe the results of these additionalanalyses and the plant response to them.

  11. Benchmark Modeling of the Near-Field and Far-Field Wave Effects of Wave Energy Arrays

    SciTech Connect (OSTI)

    Rhinefrank, Kenneth E.; Haller, Merrick C.; Ozkan-Haller, H. Tuba

    2013-01-26T23:59:59.000Z

    This project is an industry-led partnership between Columbia Power Technologies and Oregon State University that will perform benchmark laboratory experiments and numerical modeling of the near-field and far-field impacts of wave scattering from an array of wave energy devices. These benchmark experimental observations will help to fill a gaping hole in our present knowledge of the near-field effects of multiple, floating wave energy converters and are a critical requirement for estimating the potential far-field environmental effects of wave energy arrays. The experiments will be performed at the Hinsdale Wave Research Laboratory (Oregon State University) and will utilize an array of newly developed Buoys������� that are realistic, lab-scale floating power converters. The array of Buoys will be subjected to realistic, directional wave forcing (1:33 scale) that will approximate the expected conditions (waves and water depths) to be found off the Central Oregon Coast. Experimental observations will include comprehensive in-situ wave and current measurements as well as a suite of novel optical measurements. These new optical capabilities will include imaging of the 3D wave scattering using a binocular stereo camera system, as well as 3D device motion tracking using a newly acquired LED system. These observing systems will capture the 3D motion history of individual Buoys as well as resolve the 3D scattered wave field; thus resolving the constructive and destructive wave interference patterns produced by the array at high resolution. These data combined with the device motion tracking will provide necessary information for array design in order to balance array performance with the mitigation of far-field impacts. As a benchmark data set, these data will be an important resource for testing of models for wave/buoy interactions, buoy performance, and far-field effects on wave and current patterns due to the presence of arrays. Under the proposed project we will initiate high-resolution (fine scale, very near-field) fluid/structure interaction simulations of buoy motions, as well as array-scale, phase-resolving wave scattering simulations. These modeling efforts will utilize state-of-the-art research quality models, which have not yet been brought to bear on this complex problem of large array wave/structure interaction problem.

  12. Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    NRCAN). 2001. Energy Performance Indicator Report: Fluidan overall performance indicator—the energy intensity

  13. A comparison of global optimization algorithms with standard benchmark functions and real-world applications using Energy Plus

    SciTech Connect (OSTI)

    Kamph, Jerome Henri; Robinson, Darren; Wetter, Michael

    2009-09-01T23:59:59.000Z

    There is an increasing interest in the use of computer algorithms to identify combinations of parameters which optimise the energy performance of buildings. For such problems, the objective function can be multi-modal and needs to be approximated numerically using building energy simulation programs. As these programs contain iterative solution algorithms, they introduce discontinuities in the numerical approximation to the objective function. Metaheuristics often work well for such problems, but their convergence to a global optimum cannot be established formally. Moreover, different algorithms tend to be suited to particular classes of optimization problems. To shed light on this issue we compared the performance of two metaheuristics, the hybrid CMA-ES/HDE and the hybrid PSO/HJ, in minimizing standard benchmark functions and real-world building energy optimization problems of varying complexity. From this we find that the CMA-ES/HDE performs well on more complex objective functions, but that the PSO/HJ more consistently identifies the global minimum for simpler objective functions. Both identified similar values in the objective functions arising from energy simulations, but with different combinations of model parameters. This may suggest that the objective function is multi-modal. The algorithms also correctly identified some non-intuitive parameter combinations that were caused by a simplified control sequence of the building energy system that does not represent actual practice, further reinforcing their utility.

  14. User's Manual for BEST-Dairy: Benchmarking and Energy/water-Saving Tool (BEST) for the Dairy Processing Industry (Version 1.2)

    SciTech Connect (OSTI)

    Xu, T.; Ke, J.; Sathaye, J.

    2011-04-20T23:59:59.000Z

    This User's Manual summarizes the background information of the Benchmarking and Energy/water-Saving Tool (BEST) for the Dairy Processing Industry (Version 1.2, 2011), including'Read Me' portion of the tool, the sections of Introduction, and Instructions for the BEST-Dairy tool that is developed and distributed by Lawrence Berkeley National Laboratory (LBNL).

  15. Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    USA energy growth rate only based on electricity consumptionUSA, contrasting to the decreasing trend of specific energy consumption

  16. Energy Conservation Recommendations, Implementation Costs, and Projected Paybacks for Georgia's Targeted Schools and Hospitals Conservation Program

    E-Print Network [OSTI]

    Brown, M. L.; Moore, D. M.

    1988-01-01T23:59:59.000Z

    During the past year the Georgia Tech Research Institute performed technical assistance studies on over 100 school and hospital buildings under a program funded by the Governor's Office of Energy Resources. This program is known as the Targeted...

  17. Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    In many parts of the world, energy consumption in industrialthe world. 4.4.2 Specific energy consumption of butter,of world raw milk production . Global energy consumption in

  18. Hadron Production Model Developments and Benchmarking in the 0.7 - 12 GeV Energy Region

    E-Print Network [OSTI]

    N. V. Mokhov; K. K. Gudima; S. I. Striganov

    2014-08-29T23:59:59.000Z

    Driven by the needs of the intensity frontier projects with their Megawatt beams, e.g., ESS, FAIR and Project X, and their experiments, the event generators of the MARS15 code have been recently improved. After thorough analysis and benchmarking against data, including the newest ones by the HARP collaboration, both the exclusive and inclusive particle production models were further developed in the crucial for the above projects - but difficult from a theoretical standpoint - projectile energy region of 0.7 to 12 GeV. At these energies, modelling of prompt particle production in nucleon-nucleon and pion-nucleon inelastic reactions is now based on a combination of phase-space and isobar models. Other reactions are still modeled in the framework of the Quark-Gluon String Model. Pion, kaon and strange particle production and propagation in nuclear media are improved. For the alternative inclusive mode, experimental data on large-angle (> 20 degrees) pion production in hadron-nucleus interactions are parameterized in a broad energy range using a two-source model. It is mixed-and-matched with the native MARS model that successfully describes low-angle pion production data. Predictions of both new models are - in most cases - in a good agreement with experimental data obtained at CERN, JINR, LANL, BNL and KEK.

  19. The NERSC PMEMD Benchmark

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

    PMEMD The NERSC PMEMD Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:55:50...

  20. The NERSC MILC Benchmark

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

    MILC The NERSC MILC Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:12:32...

  1. The NERSC GTC Benchmark

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

    GTC The NERSC GTC Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:04:18...

  2. The NERSC CAM Benchmark

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

    CAM The NERSC CAM Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 14:32:44...

  3. The NERSC PARATEC Benchmark

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

    PARATEC The NERSC PARATEC Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:16:06...

  4. The NERSC GAMESS Benchmark

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

    GAMESS The NERSC GAMESS Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 14:48:10...

  5. EPA ENERGY STAR Webcast: Benchmarking Water/Wastewater Treatment Facilities in Portfolio Manager

    Office of Energy Efficiency and Renewable Energy (EERE)

    Learn how to track the progress of energy efficiency efforts and compare the energy use of wastewater treatment plants to other peer facilities across the country. Attendees will learn how to...

  6. Data Center Energy Benchmarking: Part 5 - Case Studies on a Corporate Data Center (No. 22)

    E-Print Network [OSTI]

    Xu, Tengfang; Greenberg, Steve

    2007-01-01T23:59:59.000Z

    Towers Building Generator Heaters Data Center Lighting Share of electric energyTowers (A) Data Center Lighting Total Data Center Only Share of electric energytower fans – both running together may produce the same heat rejection with much less energy

  7. Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    IEA). 2008. Electricity generation by fuel – Norway. IEAfuel, nuclear and renewable energy resources for electricity generation.

  8. HOSPITAL LAUNDRY STANDARDS AND ENERGY CONSERVATION: A PROGRAM PLAN

    E-Print Network [OSTI]

    Battles, Donald R.

    2014-01-01T23:59:59.000Z

    STANDARDS AND ENERGY CONSERVATION: LAWRENCE A PROGRAM PLANLAUNDRY STANDARDS AND ENERGY CONSERVATION: A PROGRAM PLANLAUNDRY STANDARDS AND ENERGY CONSERVATION: A PROGRAM PLAN

  9. Guidebook for Using the Tool BEST Cement: Benchmarking and Energy Savings Tool for the Cement Industry

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01T23:59:59.000Z

    compressor capacity. Fixing them can alleviate these problems.problems and save energy. Proper maintenance includes the following 1 : • Keep the compressor

  10. Guidebook for Using the Tool BEST Cement: Benchmarking and Energy Savings Tool for the Cement Industry

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01T23:59:59.000Z

    Research Foundation, Petten, The Netherlands. Cembureau,Research Foundation, Petten, The Netherlands. Vleuten, F.P.Energy Research Foundation, Petten, The Netherlands. Block

  11. Guidebook for Using the Tool BEST Cement: Benchmarking and Energy Savings Tool for the Cement Industry

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01T23:59:59.000Z

    leading manufacturers in China, costs roughly 20 to 33% ofwith high power costs. In China, however, low temperaturedomestically in China. 1 Energy/Environment/Cost/Other

  12. JouleSort: A Balanced Energy-Efficiency Benchmark Suzanne Rivoire

    E-Print Network [OSTI]

    Kozyrakis, Christos

    , and scalability. As data centers house more servers and consume more energy, removing heat from the data center power consumption [28]. For mobile devices, battery capacity and energy use di- rectly affect usability. Battery capacity determines how long devices last, constrains form factors, and limits functional- ity

  13. Guidebook for Using the Tool BEST Cement: Benchmarking and Energy Savings Tool for the Cement Industry

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01T23:59:59.000Z

    eds. ) 2004. Innovations in Portland Cement Manufacturing.Portland Cement Association. Venkateswaran, S.R. and H.E.Lowitt. 1988. The U.S. Cement Industry, An Energy

  14. Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    plants Total Electricity Fuel Range Range Range USA IAC (study f) USA energy growth rate only based on electricitythe total electricity use for processing milk in the USA

  15. Designing for Energy Conservation - The Cypress Fairbanks Medical Center Hospital

    E-Print Network [OSTI]

    Wiernik, L. B.; Ranzau, P. A.

    1984-01-01T23:59:59.000Z

    ,000 'quare foot is heat gain. The longest dbeneions of the Cypress cmprised Of three 40-bed medical'sur&ical In-patient Medical Center are oriented northwest and southeast. care nureing floors, and the first floor which houses All of the external windows... are 1/4" solar bronze administrative, business, dienostic, treatment and and internally ehded by 3" wide vertical blinds. ancillary services. The hospital is adjoined by a First floor windows are ehaded by a -$-foot overhang. 40,000 square foot med...

  16. Modeling PCM-Enhanced Insulation System and Benchmarking EnergyPlus against Controlled Field Data

    SciTech Connect (OSTI)

    Shrestha, Som S [ORNL] [ORNL; Miller, William A [ORNL] [ORNL; Stovall, Therese K [ORNL] [ORNL; Desjarlais, Andre Omer [ORNL] [ORNL; Childs, Kenneth W [ORNL] [ORNL; Porter, Wallace D [ORNL] [ORNL; Bhandari, Mahabir S [ORNL] [ORNL; Coley, Steven J [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    Phase-change materials (PCM) used in building envelopes appear to be a promising technology to reduce energy consumption and reduce/shift peak load. However, due to complexity in modeling the dynamic behavior of PCMs, current modeling tools either lack an accurate way of predicting the performance and impact of PCMs in buildings or validation of predicted or measured performance is not available. This paper presents a model of a PCM-enhanced dynamic-insulation system in EnergyPlus (E+) and compares the simulation results against field-measured data. Laboratory tests to evaluate thermal properties and to characterize the PCM and PCM-enhanced cellulose insulation system are also presented in this paper. Results indicate that the predicted daily average heat flux through walls from the E+ simulation was within 9% of field measured data. Future analysis will allow us to predict annual energy savings from the use of PCM in buildings.

  17. Data Center Energy Benchmarking: Part 1 -Case Studies on Two Co-location Data Centers

    E-Print Network [OSTI]

    ................................................................................................................. 3 3 ELECTRIC POWER CONSUMPTION CHARACTERISTICS ........................ 8 4 MECHANICAL SYSTEM was prepared as an account of work sponsored by the United States Government and California Energy Commission. While this document is believed to contain correct information, neither the United States Government nor

  18. Data Center Energy Benchmarking: Part 2 -Case Studies on Two Co-location Network Data Centers

    E-Print Network [OSTI]

    ...................................................................................................................... 2 3 ELECTRIC POWER CONSUMPTION CHARACTERISTICS ........................ 3 3.1 PDU SYSTEM was prepared as an account of work sponsored by the United States Government and California Energy Commission. While this document is believed to contain correct information, neither the United States Government nor

  19. Data Center Energy Benchmarking: Part 3 -Case Study on an IT Equipment-testing Center

    E-Print Network [OSTI]

    ................................................................................................................. 3 3 ELECTRIC POWER CONSUMPTION CHARACTERISTICS ........................ 4 3.1 CHILLER SYSTEM sponsored by the United States Government and California Energy Commission. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor California

  20. Data Center Energy Benchmarking: Part 5 - Case Studies on a Corporate Data Center (No. 22)

    E-Print Network [OSTI]

    Xu, Tengfang; Greenberg, Steve

    2007-01-01T23:59:59.000Z

    Lighting Share of electric energy use Floor Space (ft2) Electric power density (lighting) was 94 W/ft 2 , approximately ten times the average power densitylighting) was 94 W/ft 2 , approximately 10 times the average overall power density

  1. Development of a Computer-based Benchmarking and Analytical Tool: Benchmarking and Energy & Water Savings Tool in Dairy Plants (BEST-Dairy)

    E-Print Network [OSTI]

    Xu, Tengfang

    2013-01-01T23:59:59.000Z

    Technology Support Unit (ETSU). 1998. Reducing Energy costsand additional reports (ETSU 1998, NRCAN 2001). If theBritain n/a 20.7 g N/A N/A ETSU (1998) Kenya Okoth (1997)

  2. Light-Duty Lean GDI Vehicle Technology Benchmark | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetter

  3. Benchmark Theoretical Study of the ?–? Binding Energy in the Benzene Dimer

    SciTech Connect (OSTI)

    Miliordos, Evangelos; Apra, Edoardo; Xantheas, Sotiris S.

    2014-09-04T23:59:59.000Z

    We establish a new estimate for the interaction energy between two benzene molecules in the parallel displaced (PD) conformation by systematically converging (i) the intra- and intermolecular geometry at the minimum geometry, (ii) the expansion of the orbital basis set and (iii) the level of electron correlation. The calculations were performed at the second order Møller - Plesset perturbation (MP2) and the Coupled Cluster including Singles, Doubles and a perturbative estimate of Triples replacements [CCSD(T)] levels of electronic structure theory. At both levels of theory, by including results corrected for Basis Set Superposition Error (BSSE), we have estimated the Complete Basis Set (CBS) limit by employing the family of Dunning’s correlation consistent polarized valence basis sets. The largest MP2 calculation was performed with the cc-pV6Z basis set (2,772 basis functions), whereas the largest CCSD(T) calculation with the cc-pV5Z basis set (1,752 basis functions). The cluster geometries were optimized with basis sets up to quadruple-? quality, observing that both its intra- and inter-molecular parts have practically converged with the triple-? quality sets. The use of converged geometries was found to play an important role for obtaining accurate estimates for the CBS limits. Our results demonstrate that the binding energies with the families of the plain (cc-pVnZ) and augmented (aug-cc-pVnZ) sets converge [to within < 0.01 kcal/mol for MP2 and < 0.15 kcal/mol for CCSD(T)] to the same CBS limit. In addition, the average of the uncorrected and BSSEcorrected binding energies was found to converge to the same CBS limit must faster than either of the two constituents (uncorrected or BSSE-corrected binding energies). Due to the fact that the family of augmented basis sets (especially for the larger sets) causes serious linear dependency problems, the plain basis sets (for which no linear dependencies were found) are deemed as a more efficient and straightforward path for obtaining an accurate CBS limit. We considered extrapolations of the uncorrected (?𝐸) and BSSE-corrected (?𝐸!") binding energies, their average value (?𝐸!"#) as well as the average of the latter over the plain and augmented sets (?𝐸!"#) with the cardinal number of the basis set n. Our best estimate of the CCSD(T)/CBS limit for the ?-? interaction energy in the PD benzene dimer is De = 2.65 ± 0.02 kcal/mol. The best CCSD(T)/cc-pV5Z calculated value is 2.62 kcal/mol, just 0.03 kcal/mol away from the CBS limit. For comparison, the MP2/CBS limit estimate is 5.00 ± 0.01 kcal/mol, demonstrating a 90% overbinding with respect to CCSD(T). The Spin-Component-Scaled (SCS) MP2 variant was found to closely reproduce the CCSD(T) results for each basis set, while Scaled-Opposite-Spin (SOS) yielded results that are too low when compared to CCSD(T).

  4. Data Center Energy Benchmarking: Part 3 - Case Study on an ITEquipment-testing Center (No. 20)

    SciTech Connect (OSTI)

    Xu, Tengfang; Greenberg, Steve

    2007-07-01T23:59:59.000Z

    The data center in this study had a total floor area of 3,024 square feet (ft{sup 2}) with one-foot raised-floors. It was a rack lab with 147 racks, and was located in a 96,000 ft{sup 2} multi-story office building in San Jose, California. Since the data center was used only for testing equipment, it was not configured as a critical facility in terms of electrical and cooling supply. It did not have a dedicated chiller system but was served by the main building chiller plant and make-up air system. Additionally it was served by only a single electrical supply with no provision for backup power in the event of a power outage. The Data Center operated on a 24 hour per day, year-round cycle, and users had full-hour access to the data center facility. The study found that data center computer load accounted for 15% of the overall building electrical load, while the total power consumption attributable to the data center including allocated cooling load and lighting was 22% of the total facility load. The density of installed computer loads (rack load) in the data center was 61 W/ft{sup 2}. Power consumption density for all data center allocated load (including cooling and lighting) was 88 W/ft{sup 2}, approximately eight times the average overall power density in rest of the building (non-data center portion). The building and its data center cooling system was provided with various energy optimizing systems that included the following: (1) Varying chilled water flow rate through variable speed drives on the primary pumps. (2) No energy losses due to nonexistence of UPS or standby generators. (3) Minimized under-floor obstruction that affects the delivery efficiency of supply air. (4) Elimination of dehumidification/humidification within the CRAH units. For the data center, 70% of the overall electric power was the rack critical loads, 14% of the power was consumed by chillers, 12% by CRAH units, 2% by lighting system, and about 2% of the power was consumed by chilled water pumps. General recommendations for improving overall data center energy efficiency include improving the lighting control, airflow optimization, control of mechanical systems serving the data center in actual operation.. This includes chilled water system, airflow management and control in the data center. Additional specific recommendations or considerations to improve energy efficiency are provided in this report.

  5. Technical Support Document: Development of the Advanced Energy Design Guide for Small Hospitals and Healthcare Facilities--30% Guide

    SciTech Connect (OSTI)

    Bonnema, E.; Doebber, I.; Pless, S.; Torcellini, P.

    2010-03-01T23:59:59.000Z

    This Technical Support Document describes the process and methodology for the development of the Advanced Energy Design Guide for Small Hospitals and Healthcare Facilities.

  6. NERSC-8 / Trinity Benchmarks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVAPlayedNERSC's ScienceBenchmarks NERSC-8 /

  7. NERSC-8 Benchmarks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVAPlayedNERSC's ScienceBenchmarks NERSC-8

  8. Data Center Energy Benchmarking: Part 4 - Case Study on aComputer-testing Center (No. 21)

    SciTech Connect (OSTI)

    Xu, Tengfang; Greenberg, Steve

    2007-08-01T23:59:59.000Z

    The data center in this study had a total floor area of 8,580 square feet (ft{sup 2}) with one-foot raised-floors. It was a rack lab with 440 racks, and was located in a 208,240 ft{sup 2} multi-story office building in San Jose, California. Since the data center was used only for testing equipment, it was not configured as a critical facility in terms of electrical and cooling supply. It did not have a dedicated chiller system but served by the main building chiller plant and make-up air system. Additionally, it was served by a single electrical supply with no provision for backup power. The data center operated on a 24 hour per day, year-round cycle, and users had all hour full access to the data center facility. The study found that data center computer load accounted for 23% of the overall building electrical load, while the total power consumption attributable to the data center including allocated cooling load and lighting was 30% of the total facility load. The density of installed computer loads (rack load) in the data center was 63 W/ft{sup 2}. Power consumption density for all data center allocated load (including cooling and lighting) was 84 W/ft{sup 2}, approximately 12 times the average overall power density in rest of the building (non-data center portion). For the data center, 75% of the overall electric power was the rack critical loads, 11% of the power was consumed by chillers, 9% by CRAH units, 1% by lighting system, and about 4% of the power was consumed by pumps. The ratio of HVAC to IT power demand in the data center in this study was approximately 0.32. General recommendations for improving overall data center energy efficiency include improving the lighting control, airflow optimization, and control of mechanical systems serving the data center in actual operation. This includes chilled water system, airflow management and control in data centers. Additional specific recommendations or considerations to improve energy efficiency are provided in this report.

  9. Reference Buildings by Building Type: Hospital | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy

  10. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    good practice” for data center infrastructure efficiency metric. Data Center Benchmarking Guidegood practice benchmark and 0.6 kW/ton as a better practice benchmark. Data Center Benchmarking Guide

  11. Reference Buildings by Building Type: Hospital | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergy VehicleofIndustry

  12. Reference Buildings by Building Type: Hospital | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012Energy ReliabilityNewsEnergypre1980_v1.3_5.0.zip

  13. Factory Flow Benchmarking Report

    E-Print Network [OSTI]

    Shields, Thomas J.

    LAI benchmarked representative part fabrications and some assembly operations within its member companies of the defense aircraft industry. This paper reports the results of this benchmarking effort. In addition, this ...

  14. LED Surgical Task Lighting Scoping Study: A Hospital Energy Alliance Project

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-01-17T23:59:59.000Z

    Tungsten-halogen (halogen) lamps have traditionally been used to light surgical tasks in hospitals, even though they are in many respects ill-suited to the application due to the large percentage of radiant energy outside the visible spectrum and issues with color rendering/quality. Light-emitting diode (LED) technology offers potential for adjustable color and improved color rendition/quality, while simultaneously reducing side-effects from non-visible radiant energy. It also has the potential for significant energy savings, although this is a fairly narrow application in the larger commercial building energy use sector. Based on analysis of available products and Hospital Energy Alliance member interest, it is recommended that a product specification and field measurement procedure be developed for implementation in demonstration projects.

  15. AMG Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearchSOLICITATIONIMODI FICATION OF CONTRACT 1 OTATI OEP AE 2..CNRCCaliforniaAMG

  16. DOE Commercial Building Benchmark Models: Preprint

    SciTech Connect (OSTI)

    Torcelini, P.; Deru, M.; Griffith, B.; Benne, K.; Halverson, M.; Winiarski, D.; Crawley, D. B.

    2008-07-01T23:59:59.000Z

    To provide a consistent baseline of comparison and save time conducting such simulations, the U.S. Department of Energy (DOE) has developed a set of standard benchmark building models. This paper will provide an executive summary overview of these benchmark buildings, and how they can save building analysts valuable time. Fully documented and implemented to use with the EnergyPlus energy simulation program, the benchmark models are publicly available and new versions will be created to maintain compatibility with new releases of EnergyPlus. The benchmark buildings will form the basis for research on specific building technologies, energy code development, appliance standards, and measurement of progress toward DOE energy goals. Having a common starting point allows us to better share and compare research results and move forward to make more energy efficient buildings.

  17. Story County Hospital Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-f < RAPID‎SolarCityInformationStopwattch Jump to:Storrs,Story

  18. Benchmarks used

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWP TWPAlumniComplex historian ...BESFor41BeforeAllen

  19. ENERGY STAR&reg; Portfolio Manager and Utility Benchmarking Programs: Effectiveness as a Conduit to Utility Energy Efficiency Programs

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpact StatementDepartmentFrontCallChair toSTAR Certifiedin theSTAR ®

  20. Action-Oriented Benchmarking: Using the CEUS Database to Benchmark Commercial Buildings in California

    SciTech Connect (OSTI)

    Mathew, Paul; Mills, Evan; Bourassa, Norman; Brook, Martha

    2008-02-01T23:59:59.000Z

    The 2006 Commercial End Use Survey (CEUS) database developed by the California Energy Commission is a far richer source of energy end-use data for non-residential buildings than has previously been available and opens the possibility of creating new and more powerful energy benchmarking processes and tools. In this article--Part 2 of a two-part series--we describe the methodology and selected results from an action-oriented benchmarking approach using the new CEUS database. This approach goes beyond whole-building energy benchmarking to more advanced end-use and component-level benchmarking that enables users to identify and prioritize specific energy efficiency opportunities - an improvement on benchmarking tools typically in use today.

  1. Radiation Detection Computational Benchmark Scenarios

    SciTech Connect (OSTI)

    Shaver, Mark W.; Casella, Andrew M.; Wittman, Richard S.; McDonald, Ben S.

    2013-09-24T23:59:59.000Z

    Modeling forms an important component of radiation detection development, allowing for testing of new detector designs, evaluation of existing equipment against a wide variety of potential threat sources, and assessing operation performance of radiation detection systems. This can, however, result in large and complex scenarios which are time consuming to model. A variety of approaches to radiation transport modeling exist with complementary strengths and weaknesses for different problems. This variety of approaches, and the development of promising new tools (such as ORNL’s ADVANTG) which combine benefits of multiple approaches, illustrates the need for a means of evaluating or comparing different techniques for radiation detection problems. This report presents a set of 9 benchmark problems for comparing different types of radiation transport calculations, identifying appropriate tools for classes of problems, and testing and guiding the development of new methods. The benchmarks were drawn primarily from existing or previous calculations with a preference for scenarios which include experimental data, or otherwise have results with a high level of confidence, are non-sensitive, and represent problem sets of interest to NA-22. From a technical perspective, the benchmarks were chosen to span a range of difficulty and to include gamma transport, neutron transport, or both and represent different important physical processes and a range of sensitivity to angular or energy fidelity. Following benchmark identification, existing information about geometry, measurements, and previous calculations were assembled. Monte Carlo results (MCNP decks) were reviewed or created and re-run in order to attain accurate computational times and to verify agreement with experimental data, when present. Benchmark information was then conveyed to ORNL in order to guide testing and development of hybrid calculations. The results of those ADVANTG calculations were then sent to PNNL for compilation. This is a report describing the details of the selected Benchmarks and results from various transport codes.

  2. Internal Benchmarking Outreach and Data Collection Techniques

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Technical Assistance Program (TAP) presentation at a TAP webinar held on April 11, 2013 and dealing with internal benchmarking outreach and data collection techniques.

  3. ICSBEP Benchmarks For Nuclear Data Applications

    SciTech Connect (OSTI)

    Briggs, J. Blair [Idaho National Engineering and Environmental Laboratory (United States)

    2005-05-24T23:59:59.000Z

    The International Criticality Safety Benchmark Evaluation Project (ICSBEP) was initiated in 1992 by the United States Department of Energy. The ICSBEP became an official activity of the Organization for Economic Cooperation and Development (OECD) -- Nuclear Energy Agency (NEA) in 1995. Representatives from the United States, United Kingdom, France, Japan, the Russian Federation, Hungary, Republic of Korea, Slovenia, Serbia and Montenegro (formerly Yugoslavia), Kazakhstan, Spain, Israel, Brazil, Poland, and the Czech Republic are now participating. South Africa, India, China, and Germany are considering participation. The purpose of the ICSBEP is to identify, evaluate, verify, and formally document a comprehensive and internationally peer-reviewed set of criticality safety benchmark data. The work of the ICSBEP is published as an OECD handbook entitled ''International Handbook of Evaluated Criticality Safety Benchmark Experiments.'' The 2004 Edition of the Handbook contains benchmark specifications for 3331 critical or subcritical configurations that are intended for use in validation efforts and for testing basic nuclear data. New to the 2004 Edition of the Handbook is a draft criticality alarm / shielding type benchmark that should be finalized in 2005 along with two other similar benchmarks. The Handbook is being used extensively for nuclear data testing and is expected to be a valuable resource for code and data validation and improvement efforts for decades to come. Specific benchmarks that are useful for testing structural materials such as iron, chromium, nickel, and manganese; beryllium; lead; thorium; and 238U are highlighted.

  4. Measure it, See it, Manage it: Using Real Time Data to Benchmark, Optimize, and Sustain System Energy Efficiency

    E-Print Network [OSTI]

    Taranto, Thomas; McKane, Aimee; Amon, Ricardo; Maulhardt, Michael

    2008-01-01T23:59:59.000Z

    is crucial to achieving sustainable energy efficiency in anoperation and sustainable energy efficiency. Targetednecessary to achieve sustainable energy savings. A

  5. How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center Infrastructure Systems

    E-Print Network [OSTI]

    Mathew, Paul

    2009-01-01T23:59:59.000Z

    Department of Energy and the New York State Energy Researchwork was supported by the New York State Energy Research and

  6. Benchmarking foreign electronics technologies

    SciTech Connect (OSTI)

    Bostian, C.W.; Hodges, D.A.; Leachman, R.C.; Sheridan, T.B.; Tsang, W.T.; White, R.M.

    1994-12-01T23:59:59.000Z

    This report has been drafted in response to a request from the Japanese Technology Evaluation Center`s (JTEC) Panel on Benchmarking Select Technologies. Since April 1991, the Competitive Semiconductor Manufacturing (CSM) Program at the University of California at Berkeley has been engaged in a detailed study of quality, productivity, and competitiveness in semiconductor manufacturing worldwide. The program is a joint activity of the College of Engineering, the Haas School of Business, and the Berkeley Roundtable on the International Economy, under sponsorship of the Alfred P. Sloan Foundation, and with the cooperation of semiconductor producers from Asia, Europe and the United States. Professors David A. Hodges and Robert C. Leachman are the project`s Co-Directors. The present report for JTEC is primarily based on data and analysis drawn from that continuing program. The CSM program is being conducted by faculty, graduate students and research staff from UC Berkeley`s Schools of Engineering and Business, and Department of Economics. Many of the participating firms are represented on the program`s Industry Advisory Board. The Board played an important role in defining the research agenda. A pilot study was conducted in 1991 with the cooperation of three semiconductor plants. The research plan and survey documents were thereby refined. The main phase of the CSM benchmarking study began in mid-1992 and will continue at least through 1997. reports are presented on the manufacture of integrated circuits; data storage; wireless technology; human-machine interfaces; and optoelectronics. Selected papers are indexed separately for inclusion in the Energy Science and Technology Database.

  7. Benchmarking, BOMA BESt and BBEER

    E-Print Network [OSTI]

    Smiciklas, J.

    2013-01-01T23:59:59.000Z

    ?inclusive Benchmarking and BBEER 2013 BOMA?BESt?Energy?and?Environmental?Report?(BBEER) ? Average?energy?intensity?by: ? Region ? Certification?level ? Sector?(private?/?public)?and?age ? Building?size ? Average?natural?gas?use?by?region ? Average...?electricity?use?by?region ? Carbon?dioxide?emissions?by: ? Sector?and?region ? Sector?and?age ? Water?consumption?by: ? Sector?and?region ? Building?size ? Sector?and?age Download?your?free?copy? from?www.bomabest.com BOMA BESt Energy and Environment Report 2013 ? Data SetBOMA?BESt?Energy...

  8. Thermal Performance Benchmarking (Presentation)

    SciTech Connect (OSTI)

    Moreno, G.

    2014-11-01T23:59:59.000Z

    This project will benchmark the thermal characteristics of automotive power electronics and electric motor thermal management systems. Recent vehicle systems will be benchmarked to establish baseline metrics, evaluate advantages and disadvantages of different thermal management systems, and identify areas of improvement to advance the state-of-the-art.

  9. Microsoft Word - Benchmarking Transmittal Letter April 10 2012...

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

    property managers and others designated by the owner have access to customer energy use data.) Services such as Advantage IQ and Siemens can benchmark buildings for their clients...

  10. TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey

    Broader source: Energy.gov [DOE]

    This webinar will train analysts, energy planners and community officials on the principles used for identifying potential problems associated with benchmarking data, and a methodology for cleaning the data prior to analysis. This training session is intended for cities, communities, schools, and states that have implemented an internal or community-wide building benchmarking program and are working to better understand energy use trends and design targeted and effective energy efficiency programs.

  11. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01T23:59:59.000Z

    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.

  12. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01T23:59:59.000Z

    orappropriations. In an ESPC, the ESCO conducts aa building ESCO Energy Service Company ESPC Energy Savingsan energy service company (ESCO). The ESPC was introduced in

  13. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01T23:59:59.000Z

    from the Database of State Incentives for Renewable Energy (from the Database of State Incentives for Renewable Energy (

  14. Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey

    Broader source: Energy.gov [DOE]

    This webinar will train analysts, energy planners, and community officials on the principles used for identifying potential problems associated with benchmarking data, and a methodology for cleaning the data prior to analysis.

  15. Department of Energy Commercial Building Benchmarks (New Construction): Summary of Changes from v1.1_3.1 to v1.2_4.0, October 30, 2009

    Broader source: Energy.gov [DOE]

    This file contains the changes to the new construction building benchmark files from version 1.0_3.0 to version 1.1_3.1.

  16. A comparison of global optimization algorithms with standard benchmark functions and real-world applications using Energy Plus

    E-Print Network [OSTI]

    Kamph, Jerome Henri

    2010-01-01T23:59:59.000Z

    from 2030 will be a Zero-Net-Energy building. Similarly, the2007, the ”Zero-Net-Energy Commercial Buildings Initiative”constructed buildings can be Zero-Net-Energy by 2020 for

  17. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01T23:59:59.000Z

    E NERGY   S AVINGS   P ERFORMANCE   C ONTRACTS   (ESPCESCO Energy Service Company ESPC Energy Savings PerformancePerformance Contract An ESPC is actually another name for

  18. Measure it, See it, Manage it: Using Real Time Data to Benchmark, Optimize, and Sustain System Energy Efficiency

    E-Print Network [OSTI]

    Taranto, Thomas; McKane, Aimee; Amon, Ricardo; Maulhardt, Michael

    2008-01-01T23:59:59.000Z

    enterprise energy management (EEM), which is predicated onEnterprise Energy Management (EEM) is a combination ofor an industrial plant. EEM is an emerging market in the

  19. DIAGNOSING, BENCHMARKING AND TRANSFORMING THE LEED CERTIFIED FIU SIPA BUILDING INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB)

    E-Print Network [OSTI]

    Pala, Nezih

    INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB) Thomas Spiegelhalter Florida International University-neutral or Net-Zero-Energy buildings until 2030. (1) The topic of Net-Zero-Energy-Buildings (Net-ZEBs) has the performance with passive and active strategies towards a Net-Zero-Energy Building. (Fig. 1, 2) 1.1 SIPA

  20. Introduction to Benchmarking: Starting a Benchmarking Plan

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

    plant Btu per pound of product Manufacturer Btu per pound of product processed Refinery Btu per number of beds occupied Hotel or hospital Kilowatt-hours per square foot...

  1. A framework for benchmarking land models

    SciTech Connect (OSTI)

    Luo, Yiqi; Randerson, J.; Abramowitz, G.; Bacour, C.; Blyth, E.; Carvalhais, N.; Ciais, Philippe; Dalmonech, D.; Fisher, J.B.; Fisher, R.; Friedlingstein, P.; Hibbard, Kathleen A.; Hoffman, F. M.; Huntzinger, Deborah; Jones, C.; Koven, C.; Lawrence, David M.; Li, D.J.; Mahecha, M.; Niu, S.L.; Norby, Richard J.; Piao, S.L.; Qi, X.; Peylin, P.; Prentice, I.C.; Riley, William; Reichstein, M.; Schwalm, C.; Wang, Y.; Xia, J. Y.; Zaehle, S.; Zhou, X. H.

    2012-10-09T23:59:59.000Z

    Land models, which have been developed by the modeling community in the past few decades to predict future states of ecosystems and climate, have to be critically evaluated for their performance skills of simulating ecosystem responses and feedback to climate change. Benchmarking is an emerging procedure to measure performance of models against a set of defined standards. This paper proposes a benchmarking framework for evaluation of land model performances and, meanwhile, highlights major challenges at this infant stage of benchmark analysis. The framework includes (1) targeted aspects of model performance to be evaluated, (2) a set of benchmarks as defined references to test model performance, (3) metrics to measure and compare performance skills among models so as to identify model strengths and deficiencies, and (4) model improvement. Land models are required to simulate exchange of water, energy, carbon and sometimes other trace gases between the atmosphere and land surface, and should be evaluated for their simulations of biophysical processes, biogeochemical cycles, and vegetation dynamics in response to climate change across broad temporal and spatial scales. Thus, one major challenge is to select and define a limited number of benchmarks to effectively evaluate land model performance. The second challenge is to develop metrics of measuring mismatches between models and benchmarks. The metrics may include (1) a priori thresholds of acceptable model performance and (2) a scoring system to combine data–model mismatches for various processes at different temporal and spatial scales. The benchmark analyses should identify clues of weak model performance to guide future development, thus enabling improved predictions of future states of ecosystems and climate. The near-future research effort should be on development of a set of widely acceptable benchmarks that can be used to objectively, effectively, and reliably evaluate fundamental properties of land models to improve their prediction performance skills.

  2. Ready to Retrofit: The Process of Project Team Selection, Building Benchmarking, and Financing Commercial Building Energy Retrofit Projects

    E-Print Network [OSTI]

    Sanders, Mark D.

    2014-01-01T23:59:59.000Z

    potential  oversight  of  retrofit  and  construction  projects   •   familiarity  with  ASHRAE  energy  efficiency  and  ventilation  requirements   •   familiarity  with  renewable  

  3. International Benchmarking and Yardstick Regulation: An Application to European Electricity Utilities

    E-Print Network [OSTI]

    Jamasb, Tooraj; Pollitt, Michael G.

    2004-06-16T23:59:59.000Z

    Due to a shortage of data and increased international mergers, national energy regulators are looking to international benchmarking analyses for help in setting price controls within incentive regulation. We present an international benchmarking...

  4. VAX/VMS benchmarking

    SciTech Connect (OSTI)

    Creel, L.

    1981-07-01T23:59:59.000Z

    Primary emphasis in this report is on the performance of three Digital Equipment Corporation VAX-11/780 computers at the Los Alamos National Laboratory. Programs used in the study are part of the Laboratory's set of benchmark programs. The VAX-11/780 computers each had slightly different configurations that affected the performance of several of the benchmarks. Execution times of these programs on the VAX-11/780s are also compared to those on the Control Data Corporation (CDC) 6600 and Cyber 73 computers.

  5. Benchmark the Fuel Cost of Steam Generation, Energy Tips: STEAM, Steam Tip Sheet #15 (Fact Sheet), Advanced Manufacturing Office (AMO), Energy Efficiency & Renewable Energy (EERE)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,Commerce |Committeeof Energyof5

  6. Accelerated Randomized Benchmarking

    E-Print Network [OSTI]

    Christopher Granade; Christopher Ferrie; D. G. Cory

    2014-09-24T23:59:59.000Z

    Quantum information processing offers promising advances for a wide range of fields and applications, provided that we can efficiently assess the performance of the control applied in candidate systems. That is, we must be able to determine whether we have implemented a desired gate, and refine accordingly. Randomized benchmarking reduces the difficulty of this task by exploiting symmetries in quantum operations. Here, we bound the resources required for benchmarking and show that, with prior information, we can achieve several orders of magnitude better accuracy than in traditional approaches to benchmarking. Moreover, by building on state-of-the-art classical algorithms, we reach these accuracies with near-optimal resources. Our approach requires an order of magnitude less data to achieve the same accuracies and to provide online estimates of the errors in the reported fidelities. We also show that our approach is useful for physical devices by comparing to simulations. Our results thus enable the application of randomized benchmarking in new regimes, and dramatically reduce the experimental effort required to assess control fidelities in quantum systems. Finally, our work is based on open-source scientific libraries, and can readily be applied in systems of interest.

  7. Comparison of five benchmarks

    SciTech Connect (OSTI)

    Huss, J. E.; Pennline, J. A.

    1987-02-01T23:59:59.000Z

    Five benchmark programs were obtained and run on the NASA Lewis CRAY X-MP/24. A comparison was made between the programs codes and between the methods for calculating performance figures. Several multitasking jobs were run to gain experience in how parallel performance is measured.

  8. Healthcare Energy Metering Guidance (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01T23:59:59.000Z

    This brochure is intended to help facility and energy managers plan and prioritize investments in energy metering. It offers healthcare-specific examples of metering applications, benefits, and steps that other health systems can reproduce. It reflects collaborative input from the U.S. Department of Energy national laboratories and the health system members of the DOE Hospital Energy Alliance's Benchmarking and Measurement Project Team.

  9. Healthcare Energy Efficiency Research and Development

    SciTech Connect (OSTI)

    Black, Douglas R.; Lai, Judy; Lanzisera, Steven M; Parrish, Kristen D.; Singer, Brett C.

    2011-01-31T23:59:59.000Z

    Hospitals are known to be among the most energy intensive commercial buildings in California. Estimates of energy end-uses (e.g. for heating, cooling, lighting, etc.) in hospitals are uncertain for lack of information about hospital-specific mechanical system operations and process loads. Lawrence Berkeley National Laboratory developed and demonstrated a benchmarking system designed specifically for hospitals. Version 1.0 featured metrics to assess energy performance for the broad variety of ventilation and thermal systems that are present in California hospitals. It required moderate to extensive sub-metering or supplemental monitoring. In this new project, we developed a companion handbook with detailed equations that can be used toconvert data from energy and other sensors that may be added to or already part of hospital heating, ventilation and cooling systems into metrics described in the benchmarking document.This report additionally includes a case study and guidance on including metering into designs for new hospitals, renovations and retrofits. Despite widespread concern that this end-use is large and growing, there is limited reliable information about energy use by distributed medical equipment and other miscellaneouselectrical loads in hospitals. This report proposes a framework for quantifying aggregate energy use of medical equipment and miscellaneous loads. Novel approaches are suggested and tried in an attempt to obtain data to support this framework.

  10. Department of Energy Announces the Launch of the Hospital Energy Alliance

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China 2015 Business42.1 DEPARTMENTSeptemberGlobalUniversitiesResearch CenterEducationto

  11. Data Center Energy Benchmarking: Part 2 - Case Studies on TwoCo-location Network Data Centers (No. 18 and 19)

    SciTech Connect (OSTI)

    Xu, Tengfang; Greenberg, Steve

    2007-08-01T23:59:59.000Z

    Two data centers in this study were within a co-location facility located on the sixth floor of a multi-story building in downtown Los Angeles, California. The facility had 37,758 gross square feet floor area with 2-foot raised-floors in the data services area. The two data centers were designated as the west data center (DC No.18) and the east data center (DC No.19). The study found that 56% of the overall electric power was consumed by sixth floor critical loads in both data centers, 33% of the power was consumed by HVAC systems, 3% of the power was consumed by UPS units, 3% of the power was for generator losses, and the remaining 5% was used by lighting and miscellaneous loads in the building. The power density of installed computer loads (rack load) in the two data centers was 20 W/ft{sup 2} and 56 W/ft{sup 2}, respectively. The power density was relatively lower in DC No.18 compared to other data centers previously studied. In addition, HVAC to IT power demand ratio was 0.6 in DC No.18 in this study, and was 0.4 in DC No.19. Two out of three chillers were running at a low partial load, making the operation very energy inefficient. The operation and control of the chillers and air-handling units should be optimized while providing sufficient cooling to the data centers. Although arranging hot aisle/cold aisle design to separate airflow streams would be difficult in such a co-location data center, optimizing air distribution should be pursued. General recommendations for improving overall data center energy efficiency include improving the design, operation, and control of mechanical systems serving the data centers with various critical loads in place. This includes chiller operation, chilled water system, AHUs, airflow management and control in data centers. Additional specific recommendations or considerations to improve energy efficiency are provided in this report.

  12. Hospitals & Climate Change: Opportunity for Transformational Leadership?

    E-Print Network [OSTI]

    Howat, Ian M.

    Efficiency and Hospitals OHA Energy & Sustainability Program OSU Byrd Polar Research Institute May 15, 2014 2 Hospital Association Energy & Sustainability Program Since 2000, OHA has intervened on behalf of hospitals · "Gaps" shared among peers 12 DP&L Hospitals Served by OHA Energy & Sustainability Program 55 hospitals

  13. DOE Launches EnergySmart Hospitals to Promote Improved Energy Efficiency in

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613PortsmouthBartlesvilleAbout »Department of2 DOE Fits PrincetonHealthcare | Department

  14. DOE Launches EnergySmart Hospitals to Promote Improved Energy Efficiency in

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM |TRU Waste CleanupDesignations | Department ofHealthcare |

  15. Building America Research Benchmark Definition: Updated December 2009

    SciTech Connect (OSTI)

    Hendron, R.; Engebrecht, C.

    2010-01-01T23:59:59.000Z

    The Benchmark represents typical construction at a fixed point in time so it can be used as the basis for Building America's multi-year energy savings goals without chasing a 'moving target.'

  16. Enthalpy Wheels Come of Age: Applying Energy Recovery Ventilation to Hospitality Venues in Hot, Humid Climate

    E-Print Network [OSTI]

    Wellford, B. W.

    2000-01-01T23:59:59.000Z

    ventilation to hospitality venues in hot, humid climates need not be complex. This paper proposes guidelines that can facilitate application of the technology by specifiers or other construction professionals. These guidelines address evaluation of typical...

  17. Decommissioning Benchmarking Study Final Report

    Broader source: Energy.gov [DOE]

    DOE's former Office of Environmental Restoration (EM-40) conducted a benchmarking study of its decommissioning program to analyze physical activities in facility decommissioning and to determine...

  18. TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage Along...

    Energy Savers [EERE]

    TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking...

  19. Universal Benchmark Suites Jozo J. Dujmovic

    E-Print Network [OSTI]

    Dujmovic, Jozo J.

    the same universal benchmark suite. This approach substantially reduces the cost of benchmarking. Keywords global increase of the cost of benchmarking. The first step in the development of a method for benchmark1 Universal Benchmark Suites Jozo J. Dujmovic Department of Computer Science San Francisco State

  20. Hospitality Management Hospitality Management

    E-Print Network [OSTI]

    McConnell, Terry

    of the Department of Hospitality Management and to the recorder in the College of Human Ecology. Required HPM 114 Food Safety and Quality Assurance 2 AND HPM 115 Food Science I 3 AND HPM 216 Restaurant and Food Service Operations 4 OR NSD 225 Nutrition in Health 3 12 credits needed: HPM 300 Selected Topics: Advanced

  1. Benchmarking Buildings to Prioritize Sites for Emissions Analysis

    Broader source: Energy.gov [DOE]

    When actual energy use by building type is known, benchmarking the performance of those buildings to industry averages can help establish those with greatest opportunities for GHG reduction. Energy intensity can be used as a basis for benchmarking by building type and can be calculated using actual energy use, representative buildings, or available average estimates from agency energy records. Energy intensity should be compared to industry averages, such as the Commercial Buildings Energy Consumption Survey (CBECS) or an agency specific metered sample by location.

  2. Applications of Integral Benchmark Data

    SciTech Connect (OSTI)

    Giuseppe Palmiotti; Teruhiko Kugo; Fitz Trumble; Albert C. (Skip) Kahler; Dale Lancaster

    2014-10-09T23:59:59.000Z

    The International Reactor Physics Experiment Evaluation Project (IRPhEP) and the International Criticality Safety Benchmark Evaluation Project (ICSBEP) provide evaluated integral benchmark data that may be used for validation of reactor physics / nuclear criticality safety analytical methods and data, nuclear data testing, advanced modeling and simulation, and safety analysis licensing activities. The handbooks produced by these programs are used in over 30 countries. Five example applications are presented in this paper: (1) Use of IRPhEP Data in Uncertainty Analyses and Cross Section Adjustment, (2) Uncertainty Evaluation Methods for Reactor Core Design at JAEA Using Reactor Physics Experimental Data, (3) Application of Benchmarking Data to a Broad Range of Criticality Safety Problems, (4) Cross Section Data Testing with ICSBEP Benchmarks, and (5) Use of the International Handbook of Evaluated Reactor Physics Benchmark Experiments to Support the Power Industry.

  3. Building America Research Benchmark Definition: Updated December 20, 2007

    SciTech Connect (OSTI)

    Hendron, R.

    2008-01-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, DOE's Residential Buildings Program and NREL developed the Building America Research Benchmark in consultation with the Building America industry teams. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines (RESNET 2002), with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. Unlike the reference homes used for HERS, EnergyStar, and most energy codes, the Benchmark represents typical construction at a fixed point in time so it can be used as the basis for Building America's multi-year energy savings goals without the complication of chasing a 'moving target'.

  4. Building America Research Benchmark Definition, Updated December 15, 2006

    SciTech Connect (OSTI)

    Hendron, R.

    2007-01-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, DOE's Residential Buildings Program and NREL developed the Building America Research Benchmark in consultation with the Building America industry teams. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines (RESNET 2002), with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. Unlike the reference homes used for HERS, EnergyStar, and most energy codes, the Benchmark represents typical construction at a fixed point in time so it can be used as the basis for Building America's multi-year energy savings goals without the complication of chasing a ''moving target''.

  5. Building America Research Benchmark Definition: Updated August 15, 2007

    SciTech Connect (OSTI)

    Hendron, R.

    2007-09-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, DOE's Residential Buildings Program and NREL developed the Building America Research Benchmark in consultation with the Building America industry teams. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines (RESNET 2002), with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. Unlike the reference homes used for HERS, EnergyStar, and most energy codes, the Benchmark represents typical construction at a fixed point in time so it can be used as the basis for Building America's multi-year energy savings goals without the complication of chasing a 'moving target'.

  6. HOSPITAL VENTILATION STANDARDS AND ENERGY CONSERVATION: A SUMMARY OF THE LITERATURE WITH CONCLUSIONS AND RECOMMENDATIONS, FY 78 FINAL REPORT

    E-Print Network [OSTI]

    DeRoos, R.L.

    2011-01-01T23:59:59.000Z

    on the premise that current hospital ventilation standardsand ,ventilation rates based on the premise of reducing

  7. Fast System Level Benchmarks for Multicore Architectures

    E-Print Network [OSTI]

    Sen, Alper

    Fast System Level Benchmarks for Multicore Architectures Alper Sen, Gokcehan Kara Etem Deniz, Smail level synthetic benchmarks from traditional bench- marks. Synthetic benchmarks have similar performance behavior as the original benchmarks that they are generated from and they can run faster. Synthetics can

  8. Building America Research Benchmark Definition, Updated December 29, 2004

    SciTech Connect (OSTI)

    Hendron, R.

    2005-02-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in consultation with the Building America industry teams. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines (RESNET 2002), with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a ''standard'' set of occupants, was created for use in conjunction with the Benchmark.

  9. Measuring the Impact of Benchmarking & Transparency- Methodologies and the NYC Example

    Broader source: Energy.gov [DOE]

    Hosted by the Technical Assistance Program (TAP), this webinar, held on June 18, 2015, covered two DOE resources that help stakeholders analyze the energy, non-energy, and market transformation impacts of building energy benchmarking policies and programs.

  10. Implementation of Benchmarking Transportation Logistics Practices and Future Benchmarking Organizations

    SciTech Connect (OSTI)

    Thrower, A.W. [U.S. Department of Energy, Office of Civilian Radioactive Waste Management, Washington, DC (United States); Patric, J. [Booz Allen Hamilton, Washington, DC (United States); Keister, M. [Idaho National Laboratory, Idaho Falls, ID (United States)

    2008-07-01T23:59:59.000Z

    The purpose of the Office of Civilian Radioactive Waste Management's (OCRWM) Logistics Benchmarking Project is to identify established government and industry practices for the safe transportation of hazardous materials which can serve as a yardstick for design and operation of OCRWM's national transportation system for shipping spent nuclear fuel and high-level radioactive waste to the proposed repository at Yucca Mountain, Nevada. The project will present logistics and transportation practices and develop implementation recommendations for adaptation by the national transportation system. This paper will describe the process used to perform the initial benchmarking study, highlight interim findings, and explain how these findings are being implemented. It will also provide an overview of the next phase of benchmarking studies. The benchmarking effort will remain a high-priority activity throughout the planning and operational phases of the transportation system. The initial phase of the project focused on government transportation programs to identify those practices which are most clearly applicable to OCRWM. These Federal programs have decades of safe transportation experience, strive for excellence in operations, and implement effective stakeholder involvement, all of which parallel OCRWM's transportation mission and vision. The initial benchmarking project focused on four business processes that are critical to OCRWM's mission success, and can be incorporated into OCRWM planning and preparation in the near term. The processes examined were: transportation business model, contract management/out-sourcing, stakeholder relations, and contingency planning. More recently, OCRWM examined logistics operations of AREVA NC's Business Unit Logistics in France. The next phase of benchmarking will focus on integrated domestic and international commercial radioactive logistic operations. The prospective companies represent large scale shippers and have vast experience in safely and efficiently shipping spent nuclear fuel and other radioactive materials. Additional business processes may be examined in this phase. The findings of these benchmarking efforts will help determine the organizational structure and requirements of the national transportation system. (authors)

  11. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    SciTech Connect (OSTI)

    Mathew, Paul A.; Clear, Robert; Kircher, Kevin; Webster, Tom; Lee, Kwang Ho; Hoyt, Tyler

    2010-08-01T23:59:59.000Z

    Complex buildings such as laboratories, data centers and cleanrooms present particular challenges for energy benchmarking because it is difficult to normalize special requirements such as health and safety in laboratories and reliability (i.e., system redundancy to maintain uptime) in data centers which significantly impact energy use. For example, air change requirements vary widely based on the type of work being performed in each laboratory space. We present methods and tools for energy benchmarking in laboratories, as an exemplar of a complex building type. First, we address whole building energy metrics and normalization parameters. We present empirical methods based on simple data filtering as well as multivariate regression analysis on the Labs21 database. The regression analysis showed lab type, lab-area ratio and occupancy hours to be significant variables. Yet the dataset did not allow analysis of factors such as plug loads and air change rates, both of which are critical to lab energy use. The simulation-based method uses an EnergyPlus model to generate a benchmark energy intensity normalized for a wider range of parameters. We suggest that both these methods have complementary strengths and limitations. Second, we present"action-oriented" benchmarking, which extends whole-building benchmarking by utilizing system-level features and metrics such as airflow W/cfm to quickly identify a list of potential efficiency actions which can then be used as the basis for a more detailed audit. While action-oriented benchmarking is not an"audit in a box" and is not intended to provide the same degree of accuracy afforded by an energy audit, we demonstrate how it can be used to focus and prioritize audit activity and track performance at the system level. We conclude with key principles that are more broadly applicable to other complex building types.

  12. A Benchmark Construction of Positron Crystal Undulator

    E-Print Network [OSTI]

    Tikhomirov, Victor V

    2015-01-01T23:59:59.000Z

    Optimization of a positron crystal undulator (CU) is addressed. The ways to assure both the maximum intensity and minimum spectral width of positron CU radiation are outlined. We claim that the minimum CU spectrum width of 3 -- 4% is reached at the positron energies of a few GeV and that the optimal bending radius of crystals planes in CU ranges from 3 to 5 critical bending radii for channeled particles. Following suggested approach a benchmark positron CU construction is devised and its functioning is illustrated using the simulation method widely tested by experimental data.

  13. Guide to Benchmarking Residential Program Progress Webcast Slides...

    Energy Savers [EERE]

    Guide to Benchmarking Residential Program Progress Webcast Slides Guide to Benchmarking Residential Program Progress Webcast Slides Slides from "Guide to Benchmarking Residential...

  14. Impact of Continuous Commissioning® on the Energy Star® Rating of Hospitals and Office Buildings 

    E-Print Network [OSTI]

    Kulkarni, Aditya Arun

    2012-02-14T23:59:59.000Z

    by its initial ESR, while its location has no impact on improvement. The improvement in ESR is observed to be almost linearly proportional to the percentage of energy saved. For 10% - 20% reductions in energy use typical of the CC® process, the ESR...

  15. assiut university hospitals: Topics by E-print Network

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

    ENERGY COMMISSION SPECIAL DISTRICTS HOSPITALS & PUBLIC CARE COLLEGES & UNIVERSITIES Energy Storage, Conversion and Utilization Websites Summary: CALIFORNIA ENERGY COMMISSION...

  16. Current Reactor Physics Benchmark Activities at the Idaho National Laboratory

    SciTech Connect (OSTI)

    John D. Bess; Margaret A. Marshall; Mackenzie L. Gorham; Joseph Christensen; James C. Turnbull; Kim Clark

    2011-11-01T23:59:59.000Z

    The International Reactor Physics Experiment Evaluation Project (IRPhEP) [1] and the International Criticality Safety Benchmark Evaluation Project (ICSBEP) [2] were established to preserve integral reactor physics and criticality experiment data for present and future research. These valuable assets provide the basis for recording, developing, and validating our integral nuclear data, and experimental and computational methods. These projects are managed through the Idaho National Laboratory (INL) and the Organisation for Economic Co-operation and Development Nuclear Energy Agency (OECD-NEA). Staff and students at the Department of Energy - Idaho (DOE-ID) and INL are engaged in the development of benchmarks to support ongoing research activities. These benchmarks include reactors or assemblies that support Next Generation Nuclear Plant (NGNP) research, space nuclear Fission Surface Power System (FSPS) design validation, and currently operational facilities in Southeastern Idaho.

  17. Impact of Continuous Commissioning® on the Energy Star® Rating of Hospitals and Office Buildings

    E-Print Network [OSTI]

    Kulkarni, Aditya Arun

    2012-02-14T23:59:59.000Z

    Re-commissioning, retro-commissioning, Continuous Commissioning® (CC®) are examples of successful systematic processes implemented in buildings to reduce overall building energy consumption, and improve efficiency of systems and their operations...

  18. Computational evaluation of two reactor benchmark problems

    E-Print Network [OSTI]

    Cowan, James Anthony

    1998-01-01T23:59:59.000Z

    macroscopic cross sections for various pincell models in each benchmark problem. DEF3D, a multigroup multidimensional diffusion code, was used to evaluate the uranium-fueled lattice benchmark problem of the American Nuclear Society. TWODANT, a multigroup, two...

  19. PRISMATIC CORE COUPLED TRANSIENT BENCHMARK

    SciTech Connect (OSTI)

    J. Ortensi; M.A. Pope; G. Strydom; R.S. Sen; M.D. DeHart; H.D. Gougar; C. Ellis; A. Baxter; V. Seker; T.J. Downar; K. Vierow; K. Ivanov

    2011-06-01T23:59:59.000Z

    The Prismatic Modular Reactor (PMR) is one of the High Temperature Reactor (HTR) design concepts that have existed for some time. Several prismatic units have operated in the world (DRAGON, Fort St. Vrain, Peach Bottom) and one unit is still in operation (HTTR). The deterministic neutronics and thermal-fluids transient analysis tools and methods currently available for the design and analysis of PMRs have lagged behind the state of the art compared to LWR reactor technologies. This has motivated the development of more accurate and efficient tools for the design and safety evaluations of the PMR. In addition to the work invested in new methods, it is essential to develop appropriate benchmarks to verify and validate the new methods in computer codes. The purpose of this benchmark is to establish a well-defined problem, based on a common given set of data, to compare methods and tools in core simulation and thermal hydraulics analysis with a specific focus on transient events. The benchmark-working group is currently seeking OECD/NEA sponsorship. This benchmark is being pursued and is heavily based on the success of the PBMR-400 exercise.

  20. Monte Carlo photon benchmark problems

    SciTech Connect (OSTI)

    Whalen, D.J.; Hollowell, D.E.; Hendricks, J.S.

    1991-01-01T23:59:59.000Z

    Photon benchmark calculations have been performed to validate the MCNP Monte Carlo computer code. These are compared to both the COG Monte Carlo computer code and either experimental or analytic results. The calculated solutions indicate that the Monte Carlo method, and MCNP and COG in particular, can accurately model a wide range of physical problems.

  1. Benchmarking of Competitive Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,CommercePolicy Languageof

  2. The NERSC CAM Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's Lower MantleThe MolecularProjectCAM The

  3. The NERSC GAMESS Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's Lower MantleThe MolecularProjectCAM

  4. The NERSC GTC Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's Lower MantleThe MolecularProjectCAMGTC

  5. The NERSC MILC Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's Lower MantleTheOptimization Running

  6. The NERSC PARATEC Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's Lower MantleTheOptimization

  7. The NERSC PMEMD Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron Spin Transition in the Earth's Lower MantleTheOptimizationPMEMD The

  8. Benchmarking Nuclear Fission Theory

    E-Print Network [OSTI]

    Bertsch, G F; Nazarewicz, W; Talou, P

    2015-01-01T23:59:59.000Z

    We suggest a small set of fission observables to be used as test cases for validation of theoretical calculations. The purpose is to provide common data to facilitate the comparison of different fission theories and models. The proposed observables are chosen from fission barriers, spontaneous fission lifetimes, fission yield characteristics, and fission isomer excitation energies.

  9. Benchmarking Nuclear Fission Theory

    E-Print Network [OSTI]

    G. F. Bertsch; W. Loveland; W. Nazarewicz; P. Talou

    2015-02-20T23:59:59.000Z

    We suggest a small set of fission observables to be used as test cases for validation of theoretical calculations. The purpose is to provide common data to facilitate the comparison of different fission theories and models. The proposed observables are chosen from fission barriers, spontaneous fission lifetimes, fission yield characteristics, and fission isomer excitation energies.

  10. Energy Conservation Recommendations, Implementation Costs, and Projected Paybacks for Georgia's Targeted Schools and Hospitals Conservation Program 

    E-Print Network [OSTI]

    Brown, M. L.; Moore, D. M.

    1988-01-01T23:59:59.000Z

    Clock 4.4 3 Convert to Fluorescent Lighting 6.4 4 Electronic Ballasts 8.5 5 Increase Roof Insulation 8.9 6 Storm Windows 9.1 7 Replace Window 10.8 The top two measures were energy man- agement systems and electronic time clocks. The complete EMS... sign replacement, cleaning air conditioning filters, and reducing temperature set- points. Though these measures have a low cost and short payback, they afford much less total energy savings. ber of reports it occurred in and the percent of total...

  11. Testing (Validating?) Cross Sections with ICSBEP Benchmarks

    SciTech Connect (OSTI)

    Kahler, Albert C. III [Los Alamos National Laboratory

    2012-06-28T23:59:59.000Z

    We discuss how to use critical benchmarks from the International Handbook of Evaluated Criticality Safety Benchmark Experiments to determine the applicability of specific cross sections to the end-user's problem of interest. Particular attention is paid to making sure the selected suite of benchmarks includes the user's range of applicability (ROA).

  12. HOSPITAL VENTILATION STANDARDS AND ENERGY CONSERVATION: A SUMMARY OF THE LITERATURE WITH CONCLUSIONS AND RECOMMENDATIONS, FY 78 FINAL REPORT

    E-Print Network [OSTI]

    DeRoos, R.L.

    2011-01-01T23:59:59.000Z

    the largest problem facing the ventilation engineer; sourcesthe heating and ventilation was already a problem. 6 In thethe hospital odor problem with regards to ventilation rates.

  13. Benchmarking and Data Analysis

    E-Print Network [OSTI]

    Williams, K.

    2014-01-01T23:59:59.000Z

    Portfolio Manager ESL-KT-14-11-14 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Data Collection Captured ? Utility usage and cost ? Building square footage ? Work orders Uncaptured ? Undocumented work ? Mechanical failures... 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Great data leads to great decisions ESL-KT-14-11-14 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Resources Energy Star Portfolio Manager http...

  14. Benchmarking survey for recycling.

    SciTech Connect (OSTI)

    Marley, Margie Charlotte; Mizner, Jack Harry

    2005-06-01T23:59:59.000Z

    This report describes the methodology, analysis and conclusions of a comparison survey of recycling programs at ten Department of Energy sites including Sandia National Laboratories/New Mexico (SNL/NM). The goal of the survey was to compare SNL/NM's recycling performance with that of other federal facilities, and to identify activities and programs that could be implemented at SNL/NM to improve recycling performance.

  15. China Energy Primer

    E-Print Network [OSTI]

    Ni, Chun Chun

    2010-01-01T23:59:59.000Z

    of wind energy, in July 2009, the NDRC set benchmark pricesWind Power Price Benchmarks (August 1, 2009 onward) 148 CHAPTER 6 ENERGY5 Energy Prices Table 5-18 Successful Bid Prices for Wind

  16. Building America Research Benchmark Definition: Updated December 19, 2008

    SciTech Connect (OSTI)

    Hendron, R.

    2008-12-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, DOE's Residential Buildings Program and NREL developed the Building America Research Benchmark in consultation with the Building America industry teams.

  17. NERSC-5 Application Benchmarks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVAPlayedNERSC's Science Gateways5

  18. NERSC-6 Benchmarks

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated Codes |IsLove Your1AllocationsNOVAPlayedNERSC's Science Gateways56/7

  19. miniFE Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del SolStrengtheningWildfires mayYuan T.External Links ExternalMethane Hydrates

  20. GTC NERSC-8 Benchmark

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC) Environmental AssessmentsGeoffrey Campbell isOklahoma City,GENERALGEGNU »GROMACSGTC

  1. HS06 Benchmark for an ARM Server

    E-Print Network [OSTI]

    Kluth, Stefan

    2013-01-01T23:59:59.000Z

    We benchmarked an ARM cortex-A9 based server system with a four-core CPU running at 1.1 GHz. The system used Ubuntu 12.04 as operating system and the HEPSPEC 2006 (HS06) benchmarking suite was compiled natively with gcc-4.4 on the system. The benchmark was run for various settings of the relevant gcc compiler options. We did not find significant influence from the compiler options on the benchmark result. The final HS06 benchmark result is 10.4.

  2. HS06 Benchmark for an ARM Server

    E-Print Network [OSTI]

    Stefan Kluth

    2013-11-15T23:59:59.000Z

    We benchmarked an ARM cortex-A9 based server system with a four-core CPU running at 1.1 GHz. The system used Ubuntu 12.04 as operating system and the HEPSPEC 2006 (HS06) benchmarking suite was compiled natively with gcc-4.4 on the system. The benchmark was run for various settings of the relevant gcc compiler options. We did not find significant influence from the compiler options on the benchmark result. The final HS06 benchmark result is 10.4.

  3. Oregon Hospital Heats Up with a Biomass Boiler | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently Asked QuestionsDepartmentGas and Oil

  4. Buildings Energy Data Book: 3.8 Hospitals and Medical Facilities

    Buildings Energy Data Book [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data Center HomeIdle Reduction WeightRebate -5 20054 Share of6 2025129593 Energy

  5. Transcript of March 28, 2013, TAP webinar titled Internal Benchmarking Outreach and Data Collection Techniques

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy (DOE) Technical Assistance Program (TAP) transcript of a TAP webinar held on March 28, 2013 and dealing with internal benchmarking outreach and data collection techniques.

  6. HOSPITAL VENTILATION STANDARDS AND ENERGY CONSERVATION: A SUMMARY OF THE LITERATURE WITH CONCLUSIONS AND RECOMMENDATIONS, FY 78 FINAL REPORT

    E-Print Network [OSTI]

    DeRoos, R.L.

    2011-01-01T23:59:59.000Z

    ALLANDER, C. and E. ABEL. Ventilation in the hospital. Sj~kh1955. BLOWERS, R. et a1. Ventilation of operating theatres.Letter: Operating theatre ventilation. 1(655): 1053-l05 L f,

  7. Nuclear Data Performance Testing Using Sensitive, but Less Frequently Used ICSBEP Benchmarks

    SciTech Connect (OSTI)

    J. Blair Briggs; John D. Bess

    2011-08-01T23:59:59.000Z

    The International Criticality Safety Benchmark Evaluation Project (ICSBEP) has published the International Handbook of Evaluated Criticality Safety Benchmark Experiments annually since 1995. The Handbook now spans over 51,000 pages with benchmark specifications for 4,283 critical, near critical, or subcritical configurations; 24 criticality alarm placement/shielding configurations with multiple dose points for each; and 200 configurations that have been categorized as fundamental physics measurements relevant to criticality safety applications. Benchmark data in the ICSBEP Handbook were originally intended for validation of criticality safety methods and data; however, the benchmark specifications are now used extensively for nuclear data testing. There are several, less frequently used benchmarks within the Handbook that are very sensitive to thorium and certain key structural and moderating materials. Calculated results for many of those benchmarks using modern nuclear data libraries suggest there is still room for improvement. These and other highly sensitive, but rarely quoted benchmarks are highlighted and data testing results provided using the Monte Carlo N-Particle Version 5 (MCNP5) code and continuous energy ENDF/B-V, VI.8, and VII.0, JEFF-3.1, and JENDL-3.3 nuclear data libraries.

  8. HumanoidHospital Sustainable

    E-Print Network [OSTI]

    Beex, A. A. "Louis"

    HHO HumanoidHospital Nanoscale Science Nano-Bio Interface Sustainable Energy Renewable Materials Areas Vision IcHHo will address the problem of accidental medical errors by developing an intelligent real-life medical scenarios. Mission IcHHO will develop interactive Humanoid Patients (male, female

  9. HOSPITAL VENTILATION STANDARDS AND ENERGY CONSERVATION: A SUMMARY OF THE LITERATURE WITH CONCLUSIONS AND RECOMMENDATIONS, FY 78 FINAL REPORT

    E-Print Network [OSTI]

    DeRoos, R.L.

    2011-01-01T23:59:59.000Z

    humidification versus energy conservation. ASHRAEG. Design criteria for energy conservation. June 1975.Humidity control and energy conservation. Transactions, 81(

  10. Cutting Corners: Workbench Automation for Server Benchmarking

    E-Print Network [OSTI]

    Chase, Jeffrey S.

    accuracy vs. cost tradeoffs, avail- ability of hardware resources, deadlines, and the results of previous". Systems researchers and de- velopers devote a lot of time and resources to running benchmarks to gain questions. Server benchmarking can be costly: a large number of runs may be needed, perhaps with different

  11. Benchmarking Database Systems A Systematic Approach

    E-Print Network [OSTI]

    Liblit, Ben

    Benchmarking Database Systems A Systematic Approach Dina Bitton David J. DeWitt Carolyn Turbyfill-81ER10920. #12;ABSTRACT This paper describes a customized database and a comprehensive set of queries that can be used for sys- tematic benchmarking of relational database systems. Designing this database

  12. Characterizing Microprocessor Benchmarks Towards Understanding the Workload Design Space

    E-Print Network [OSTI]

    John, Lizy Kurian

    #12;Characterizing Microprocessor Benchmarks Towards Understanding the Workload Design Space The University of Texas at Austin December 2003 #12;Characterizing Microprocessor Benchmarks Towards #12;Characterizing Microprocessor Benchmarks Towards Understanding the Workload Design Space

  13. Department of Defense Benchmarks VPP in Visit to Hanford

    Broader source: Energy.gov [DOE]

    Representatives of the Department of Defense's (DoD's) Voluntary Protection Program Center of Excellence (VPP-CX) are working to meet a safety and health goal established by Secretary of Defense Donald Rumsfeld to reduce injuries at DoD sites nationwide. In order to accomplish this goal, DoD visited the Department of Energy's (DOE's) Hanford Site in southeast Washington State on December 12, 2005, to learn about its exemplary safety programs and benchmark the site's VPP effort.

  14. The Activities of the International Criticality Safety Benchmark Evaluation Project (ICSBEP)

    SciTech Connect (OSTI)

    Briggs, Joseph Blair

    2001-10-01T23:59:59.000Z

    The International Criticality Safety Benchmark Evaluation Project (ICSBEP) was initiated in 1992 by the United States Department of Energy. The ICSBEP became an official activity of the Organization for Economic Cooperation and Development (OECD) – Nuclear Energy Agency (NEA) in 1995. Representatives from the United States, United Kingdom, France, Japan, the Russian Federation, Hungary, Republic of Korea, Slovenia, Yugoslavia, Kazakhstan, Spain, and Israel are now participating. The purpose of the ICSBEP is to identify, evaluate, verify, and formally document a comprehensive and internationally peer-reviewed set of criticality safety benchmark data. The work of the ICSBEP is published as an OECD handbook entitled “International Handbook of Evaluated Criticality Safety Benchmark Experiments”. The 2001 Edition of the Handbook contains benchmark specifications for 2642 critical or subcritical configurations that are intended for use in validation efforts and for testing basic nuclear data.

  15. Benchmarking ICRF simulations for ITER

    SciTech Connect (OSTI)

    R. V. Budny, L. Berry, R. Bilato, P. Bonoli, M. Brambilla, R.J. Dumont, A. Fukuyama, R. Harvey, E.F. Jaeger, E. Lerche, C.K. Phillips, V. Vdovin, J. Wright, and members of the ITPA-IOS

    2010-09-28T23:59:59.000Z

    Abstract Benchmarking of full-wave solvers for ICRF simulations is performed using plasma profiles and equilibria obtained from integrated self-consistent modeling predictions of four ITER plasmas. One is for a high performance baseline (5.3 T, 15 MA) DT H-mode plasma. The others are for half-field, half-current plasmas of interest for the pre-activation phase with bulk plasma ion species being either hydrogen or He4. The predicted profiles are used by seven groups to predict the ICRF electromagnetic fields and heating profiles. Approximate agreement is achieved for the predicted heating power partitions for the DT and He4 cases. Profiles of the heating powers and electromagnetic fields are compared.

  16. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    they require pump and tower energy to provide cooling. Theypumps, and cooling towers) in terms of energy input per unit

  17. Policy Flash 2014-29 Acquisition Letter 07 - Benchmark Compensation...

    Office of Environmental Management (EM)

    Letter 07 - Benchmark Compensation Amount for Individual Executive Salary Actions Policy Flash 2014-29 Acquisition Letter 07 - Benchmark Compensation Amount for Individual...

  18. POLICY FLASH 2014-15 Determination of Benchmark Compensation...

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

    of Benchmark Compensation Amount for Certain Executives and Employees (Update) POLICY FLASH 2014-15 Determination of Benchmark Compensation Amount for Certain Executives...

  19. POLICY FLASH 2014-15 Determination of Benchmark Compensation...

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

    5 Determination of Benchmark Compensation Amount for Certain Executives and Employees POLICY FLASH 2014-15 Determination of Benchmark Compensation Amount for Certain Executives and...

  20. New York City Benchmarking and Transparency Policy Impact Evaluation...

    Energy Savers [EERE]

    New York City Benchmarking and Transparency Policy Impact Evaluation Report New York City Benchmarking and Transparency Policy Impact Evaluation Report Prepared for the U.S....

  1. The NERSC MADBench Benchmark Complete Readme Overview Building...

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

    MADBench The NERSC MADBench Benchmark Complete Readme Overview Building and Optimization Running and Timing Performance Data Download Benchmark Last edited: 2015-01-06 15:10:14...

  2. Benchmarking & Transparency Policy and Program Impact Evaluation Handbook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJune 2, 2015Energyon23264 Prepared for the U.S.Benchmarking

  3. Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    itself constitute an energy audit procedure or checklist. (may be used as part of an energy audit procedure, or to helpaudit to identify equipment that may be turned off or retired. • Procuring more energy

  4. CALOR89 calorimeter simulations, benchmarking, and design calculations

    SciTech Connect (OSTI)

    Handler, T. (Tennessee Univ., Knoxville, TN (USA)); Panakkal, J.K.; Proudfoot, J. (Argonne National Lab., IL (USA)); Cremaldi, L.; Moore, B.; Reidy, J.J. (Mississippi Univ., University, MS (USA)); Alsmiller, R.G. Jr.; Fu, P.; Gabriel, T.A. (Oak Ridge National Lab., TN (USA))

    1990-01-01T23:59:59.000Z

    Results on CALOR89 benchmarking and design calculations utilizing the CALOR89 programs are presented. The benchmarking is done with respect to the ZEUS and DO calorimeters. The design calculations were done for a variety of absorbers (depleted uranium, lead, and iron) of various thickness for a given scintillator thickness and for a fixed absorber thickness using various thickness for the scintillator. These studies indicate that a compensating calorimeter can be built using lead as the absorber, whereas a purely iron calorimeter would be non-compensating. A depleted uranium calorimeter would possibly be unsuitable if used in a large configuration and a high luminosity machine because of the delayed energy release from capture gammas. 11 refs., 5 figs.

  5. Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    itself constitute an energy audit procedure or checklist. (may be used as part of an energy audit procedure, or to help

  6. Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    itself constitute an energy audit procedure or checklist. (may be used as part of an energy audit procedure, or to help

  7. Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01T23:59:59.000Z

    itself constitute an energy audit procedure or checklist. (may be used as part of an energy audit procedure, or to help

  8. Cleanroom Energy Efficiency: Metrics and Benchmarks

    E-Print Network [OSTI]

    Mathew, Paul A.

    2012-01-01T23:59:59.000Z

    peak load, boiler efficiency (%), pumping efficiency (hp/to evaluate the efficiency of chiller and boiler systems

  9. Benchmarking ENDF/B-VII.1, JENDL-4.0 and JEFF-3.1

    SciTech Connect (OSTI)

    Van Der Marck, S. C. [Nuclear Research and Consultancy Group NRG, P.O. Box 25, 1755 ZG Petten (Netherlands)

    2012-07-01T23:59:59.000Z

    Three nuclear data libraries have been tested extensively using criticality safety benchmark calculations. The three libraries are the new release of the US library ENDF/B-VII.1 (2011), the new release of the Japanese library JENDL-4.0 (2011), and the OECD/NEA library JEFF-3.1 (2006). All calculations were performed with the continuous-energy Monte Carlo code MCNP (version 4C3, as well as version 6-beta1). Around 2000 benchmark cases from the International Handbook of Criticality Safety Benchmark Experiments (ICSBEP) were used. The results were analyzed per ICSBEP category, and per element. Overall, the three libraries show similar performance on most criticality safety benchmarks. The largest differences are probably caused by elements such as Be, C, Fe, Zr, W. (authors)

  10. AAAS Science Benchmarks Marvelous Martian Mineralogy

    E-Print Network [OSTI]

    Mojzsis, Stephen J.

    AAAS Science Benchmarks Marvelous Martian Mineralogy Designing a Spectroscopy Mission Designing;Marvelous Martian Mineralogy Designing a Spectroscopy Mission Designing an Open Spectrograph A Spectral Manipulation and Observation X #12;NRC National Science Education Standards (NSES) Marvelous Martian Mineralogy

  11. Benchmarking Sustainability: the use of Indicators

    E-Print Network [OSTI]

    Zaferatos, Nicholas C.

    Benchmarking Sustainability: the use of Indicators Introduction The concept of sustainable development is both very popular and elusive. The overwhelming appeal of sustainability is situated to build a generally shared perception of sustainable development (Butler, 1998). For many people

  12. A Generic Database Benchmarking Service Martin Kaufmann #1

    E-Print Network [OSTI]

    Mannheim, Universität

    of a particular kind of benchmark. Examples of such frameworks include SIMS [4] (local resources), OLTP- BenchmarkA Generic Database Benchmarking Service Martin Kaufmann #1 , Peter M. Fischer2 , Donald Kossmann #3, Walldorf, Germany 4 norman.may@sap.com Abstract--Benchmarks are widely applied for the development

  13. The Boyer Benchmark at Warp Speed HenryG. Baker

    E-Print Network [OSTI]

    Hunt Jr., Warren A.

    The Boyer Benchmark at Warp Speed HenryG. Baker Nimble Computer Corporation, 16231 Meadow Ridge Way, Encino, CA 91436 (818) 501-4956 (818) 986-1360 (FAX) We show how to speed up the Boyer Benchmark. INTRODUCTION The Boyer benchmark is one of the most durable benchmarks in the Lisp landscape. It was already

  14. Mixed-Oxide (MOX) Fuel Performance Benchmarks

    SciTech Connect (OSTI)

    Ott, Larry J [ORNL; Tverberg, Terje [OECD Halden Reactor Project; Sartori, Enrico [ORNL

    2009-01-01T23:59:59.000Z

    Within the framework of the OECD/NEA Expert Group on Reactor-based Plutonium disposition (TFRPD), a fuel modeling code benchmarks for MOX fuel was initiated. This paper summarizes the calculation results provided by the contributors for the first two fuel performance benchmark problems. A limited sensitivity study of the effect of the rod power uncertainty on code predictions of fuel centerline temperature and fuel pin pressure also was performed and is included in the paper.

  15. Advanced Technology Vehicle Lab Benchmarking - Level 1 | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment ofBenchmark andEnergy 1 DOE

  16. Advanced Technology Vehicle Lab Benchmarking - Level 2 (in-depth) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment ofBenchmark andEnergy 1

  17. Advanced Technology Vehicle Lab Benchmarking - Level 2 (in-depth) |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment ofBenchmark andEnergy

  18. Machine characterization and benchmark performance prediction

    SciTech Connect (OSTI)

    Saavedra-Barrera, R.H.

    1988-12-01T23:59:59.000Z

    From runs of standard benchmarks or benchmark suites, it is not possible to characterize the machine nor to predict the run time of other benchmarks which have not been run. A new approach to benchmarking and machine characterization is reported. The creation and use of a machine analyzer is described, which measures the performance of a given machine on FORTRAN source language constructs. The machine analyzer yields a set of parameters which characterize the machine and spotlight its strong and weak points. Also described is a program analyzer, which analyzes FORTRAN programs and determines the frequency of execution of each of the same set of source language operations. It is then shown that by combining a machine characterization and a program characterization, we are able to predict with good accuracy the run time of a given benchmark on a given machine. Characterizations are provided for the Cray-X-MP/48, Cyber 205, IBM 3090/200, Amdahl 5840, Convex C-1, VAX 8600, VAX 11/785, VAX 11/780, SUN 3/50, and IBM RT-PC/125, and for the following benchmark programs or suites: Los Alamos (BMK8A1), Baskett, Linpack, Livermore Loops, Madelbrot Set, NAS Kernels, Shell Sort, Smith, Whetstone and Sieve of Erathostenes.

  19. Building America Research Benchmark Definition, Version 3.1, Updated July 14, 2004

    SciTech Connect (OSTI)

    Hendron, R.

    2005-01-01T23:59:59.000Z

    To track progress toward aggressive multi-year whole-house energy savings goals of 40-70% and onsite power production of up to 30%, the U.S. Department of Energy (DOE) Residential Buildings Program and the National Renewable Energy Laboratory (NREL) developed the Building America Research Benchmark in consultation with the Building America industry teams. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines (RESNET 2002), with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. A series of user profiles, intended to represent the behavior of a ''standard'' set of occupants, was created for use in conjunction with the Benchmark.

  20. "Imagine An Energy Efficient Campus:

    E-Print Network [OSTI]

    Imagine An Energy Efficient Campus: Benchmarking Energy Use through ENERGY STAR Are you frustrated by rising energy costs? Are your campus buildings operating efficiently? How can you benchmark your portfolio?s energy consumption? We will show... you how you can use the ENERGY STAR?s free online Portfolio Program to benchmark your buildings? energy performance across your campus. Establishing a baseline for energy use throughout your portfolio of buildings will allow you to prioritize energy...

  1. High-Tech Means High-Efficiency: The Business Case for Energy Management in High-Tech Industries

    E-Print Network [OSTI]

    Shamshoian, Gary; Blazek, Michele; Naughton, Phil; Seese, Robert S.; Mills, Evan; Tschudi, William

    2005-01-01T23:59:59.000Z

    EIA Commercial Buildings Energy Consumption Survey (1999 values). High-Tech buildings from LBNL benchmarking databases.

  2. Benchmarking Nonlinear Turbulence Simulations on Alcator C-Mod

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced Materials Find More Like3.3 PrintVultureBehaviorBenchmarking

  3. Advanced Technology Vehicle Lab Benchmarking - Level 1 | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The Future of1 AAcceleratedDepartmentDepartment ofBenchmark and

  4. Building Green in Greensburg: Kiowa County Memorial Hospital

    Office of Energy Efficiency and Renewable Energy (EERE)

    This poster highlights energy efficiency, renewable energy, and sustainable features of the high-performing Kiowa County Memorial Hospital building in Greensburg, Kansas.

  5. Benchmarks for the point kinetics equations

    SciTech Connect (OSTI)

    Ganapol, B. [Department of Aerospace and Mechanical Engineering (United States); Picca, P. [Department of Systems and Industrial Engineering, University of Arizona (United States); Previti, A.; Mostacci, D. [Laboratorio di Montecuccolino Alma Mater Studiorum, Universita di Bologna (Italy)

    2013-07-01T23:59:59.000Z

    A new numerical algorithm is presented for the solution to the point kinetics equations (PKEs), whose accurate solution has been sought for over 60 years. The method couples the simplest of finite difference methods, a backward Euler, with Richardsons extrapolation, also called an acceleration. From this coupling, a series of benchmarks have emerged. These include cases from the literature as well as several new ones. The novelty of this presentation lies in the breadth of reactivity insertions considered, covering both prescribed and feedback reactivities, and the extreme 8- to 9- digit accuracy achievable. The benchmarks presented are to provide guidance to those who wish to develop further numerical improvements. (authors)

  6. Los Alamos National Laboratory computer benchmarking, 1983

    SciTech Connect (OSTI)

    Griffin, J.H.; Simmons, M.L.

    1984-06-01T23:59:59.000Z

    Evaluating the performance of computing machinery is an ongoing effort of the Computer Research and Applications Group of the Los Alamos National Laboratory. This report summarizes the results of benchmarking activities performed between October 1982 and September 1983. Compilation and execution times as well as megaflop rates for a set of benchmark codes are reported. Tests were performed on the following computers: Cray Research, Inc. (CRI) Cray-1S; Control Data Corporation (CDC) 7600, Cyber 825, and Cyber 205; Digital Equipment Corporation (DEC) VAX 11/780 and VAX 11/782.

  7. SWEEP: Evaluating Computer System Energy Efficiency using Synthetic Workloads

    E-Print Network [OSTI]

    Eeckhout, Lieven

    and benchmarking methodologies for evaluating energy efficiency, which should ultimately lead to more energy-efficient designs. The Embedded Microprocessor Benchmarking Consortium (EEMBC) released EnergyBench which provides

  8. NERSC Benchmarking and Workload Characterization

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItemResearch > The EnergyCenterDioxide CaptureSee the Foundry'sMcGuire AFB,T I O

  9. Theory comparison and numerical benchmarking on neoclassical toroidal viscosity torque

    SciTech Connect (OSTI)

    Wang, Zhirui; Park, Jong-Kyu; Logan, Nikolas; Kim, Kimin; Menard, Jonathan E. [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States)] [Princeton Plasma Physics Laboratory, Princeton, New Jersey 08543 (United States); Liu, Yueqiang [Euratom/CCFE Association, Culham Science Centre, Abingdon OX14 3DB (United Kingdom)] [Euratom/CCFE Association, Culham Science Centre, Abingdon OX14 3DB (United Kingdom)

    2014-04-15T23:59:59.000Z

    Systematic comparison and numerical benchmarking have been successfully carried out among three different approaches of neoclassical toroidal viscosity (NTV) theory and the corresponding codes: IPEC-PENT is developed based on the combined NTV theory but without geometric simplifications [Park et al., Phys. Rev. Lett. 102, 065002 (2009)]; MARS-Q includes smoothly connected NTV formula [Shaing et al., Nucl. Fusion 50, 025022 (2010)] based on Shaing's analytic formulation in various collisionality regimes; MARS-K, originally computing the drift kinetic energy, is upgraded to compute the NTV torque based on the equivalence between drift kinetic energy and NTV torque [J.-K. Park, Phys. Plasma 18, 110702 (2011)]. The derivation and numerical results both indicate that the imaginary part of drift kinetic energy computed by MARS-K is equivalent to the NTV torque in IPEC-PENT. In the benchmark of precession resonance between MARS-Q and MARS-K/IPEC-PENT, the agreement and correlation between the connected NTV formula and the combined NTV theory in different collisionality regimes are shown for the first time. Additionally, both IPEC-PENT and MARS-K indicate the importance of the bounce harmonic resonance which can greatly enhance the NTV torque when E×B drift frequency reaches the bounce resonance condition.

  10. RESULTS FOR THE INTERMEDIATE-SPECTRUM ZEUS BENCHMARK OBTAINED WITH NEW 63,65Cu CROSS-SECTION EVALUATIONS

    SciTech Connect (OSTI)

    Sobes, Vladimir [ORNL] [ORNL; Leal, Luiz C [ORNL] [ORNL

    2014-01-01T23:59:59.000Z

    The four HEU, intermediate-spectrum, copper-reflected Zeus experiments have shown discrepant results between measurement and calculation for the last several major releases of the ENDF library. The four benchmarks show a trend in reported C/E values with increasing energy of average lethargy causing fission. Recently, ORNL has made improvements to the evaluations of three key isotopes involved in the benchmark cases in question. Namely, an updated evaluation for 235U and evaluations of 63,65Cu. This paper presents the benchmarking results of the four intermediate-spectrum Zeus cases using the three updated evaluations.

  11. Benchmarking EV and HEV Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,Commerce |Committeeof

  12. MAPUniversity Hospital Directions from University Hospital to

    E-Print Network [OSTI]

    Pharmacy Lobby Visitor Elevators Escalator Patient Elevators University Hospital Information Elevator G MRI/Nuclear Medicine H Thrombosis Center I Interventional Radiology J Rehab Specialty Clinics K

  13. Benchmark Database on Isolated Small Peptides Containing an Aromatic...

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

    theory methods compare satisfactorily with the CCSD(T)CBS benchmark data. Citation: Valdes H, K Pluhackova, M Pitonak, J Rezac, and P Hobza.2008."Benchmark Database on Isolated...

  14. Geographica: A Benchmark for Geospatial RDF Stores

    E-Print Network [OSTI]

    Koubarakis, Manolis

    Geographica: A Benchmark for Geospatial RDF Stores George Garbis, Kostis Kyzirakos, and Manolis. Geospatial extensions of SPARQL like GeoSPARQL and stSPARQL have recently been defined and corresponding geospatial RDF stores have been implemented. However, there is no widely used bench- mark for evaluating

  15. Benchmark Results for Delayed Neutron Data

    SciTech Connect (OSTI)

    Marck, S.C. van der; Meulekamp, R. Klein; Hogenbirk, A.; Koning, A.J. [Nuclear Research and Consultancy Group NRG, P.O. Box 25, NL-1755 ZG Petten (Netherlands)

    2005-05-24T23:59:59.000Z

    We have calculated the effective delayed neutron fraction {beta}eff for 32 benchmark configurations for which measurements have been reported. We use these results to test the delayed neutron data of JEFF-3.0, ENDF/B-VI.8, and JENDL-3.3.

  16. Benchmarking Grid Information Systems Laurence Field1

    E-Print Network [OSTI]

    Sakellariou, Rizos

    Benchmarking Grid Information Systems Laurence Field1 and Rizos Sakellariou2 1 CERN, Geneva. Grid information systems play a central role in today's pro- duction Grid infrastructures, enabling the discovery of a range of in- formation about the Grid services that exist in an infrastructure. As the number

  17. Benchmarking EV and HEV Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform isEnergy Committee onEnergyNaturalField ExperimentEV and HEV

  18. Benchmarking Outreach and Data Collection Techniques for External Portfolios

    Broader source: Energy.gov [DOE]

    This document contains the transcript for the Benchmarking Outreach and Data Collection Techniques webinar, held on April 25, 2013.

  19. Benchmark study of TRIPOLI-4 through experiment and MCNP codes

    SciTech Connect (OSTI)

    Michel, M. [CEA, LIST, Laboratoire Capteurs et Architectures Electroniques, F-91191 Gif-sur-Yvette (France); Coulon, R. [Canberra France, F-78182 Saint Quentin en Yvelines (France); Normand, S. [CEA, LIST, Laboratoire Capteurs et Architectures Electroniques, F-91191 Gif-sur-Yvette (France); Huot, N.; Petit, O. [CEA, DEN DANS, SERMA, F-91191 Gif-sur-Yvette (France)

    2011-07-01T23:59:59.000Z

    Reliability on simulation results is essential in nuclear physics. Although MCNP5 and MCNPX are the world widely used 3D Monte Carlo radiation transport codes, alternative Monte Carlo simulation tools exist to simulate neutral and charged particles' interactions with matter. Therefore, benchmark are required in order to validate these simulation codes. For instance, TRIPOLI-4.7, developed at the French Alternative Energies and Atomic Energy Commission for neutron and photon transport, now also provides the user with a full feature electron-photon electromagnetic shower. Whereas the reliability of TRIPOLI-4.7 for neutron and photon transport has been validated yet, the new development regarding electron-photon matter interaction needs additional validation benchmarks. We will thus demonstrate how accurately TRIPOLI-4's 'deposited spectrum' tally can simulate gamma spectrometry problems, compared to MCNP's 'F8' tally. The experimental setup is based on an HPGe detector measuring the decay spectrum of an {sup 152}Eu source. These results are then compared with those given by MCNPX 2.6d and TRIPOLI-4 codes. This paper deals with both the experimental aspect and simulation. We will demonstrate that TRIPOLI-4 is a potential alternative to both MCNPX and MCNP5 for gamma-electron interaction simulation. (authors)

  20. Auto-Generation of Communication Benchmark Traces Vivek Deshpande

    E-Print Network [OSTI]

    Mueller, Frank

    Auto-Generation of Communication Benchmark Traces Vivek Deshpande North Carolina State University.edu Frank Mueller North Carolina State University Raleigh, NC, USA mueller@cs.ncsu.edu ABSTRACT Benchmarks creation is a tedious manual process. As a result, benchmarks tend to lag behind the development of complex

  1. Robust Benchmark Set Selection for Boolean Constraint Solvers

    E-Print Network [OSTI]

    Schaub, Torsten

    within the time cutoff used in the competition. While benchmarking, results of benchmarks are (typically the usefulness of this approach by means of empirical results showing that optimizing solvers on the benchmark small, the inter- esting instances have small influence on the aggregated result and the overall result

  2. The Michigan Benchmark: A Microbenchmark for XML Query Processing Systems

    E-Print Network [OSTI]

    Runapongsa, Kanda

    The Michigan Benchmark: A Microbenchmark for XML Query Processing Systems£ Kanda Runapongsa Jignesh The University of Michigan, Ann Arbor, MI 48109, USA krunapon, jignesh, jag, shurug @eecs is called the Michigan benchmark. In the Michigan benchmark, we primarily attempt to capture the rich

  3. HEATING6 analysis of international thermal benchmark problem sets 1 and 2

    SciTech Connect (OSTI)

    Childs, K.W.; Bryan, C.B.

    1986-10-01T23:59:59.000Z

    In order to assess the heat transfer computer codes used in the analysis of nuclear fuel shipping casks, the Nuclear Energy Agency Committee on Reactor Physics has defined seven problems for benchmarking thermal codes. All seven of these problems have been solved using the HEATING6 heat transfer code. This report presents the results of five of the problems. The remaining two problems were used in a previous benchmarking of thermal codes used in the United States, and their solutions have been previously published.

  4. The `benchmark glacier' concept does it work? Lessons from the North Cascade Range, USA

    E-Print Network [OSTI]

    Fountain, Andrew G.

    The `benchmark glacier' concept ­ does it work? Lessons from the North Cascade Range, USA Andrew G glaciers were established in many alpine areas during the 1960s as part of the International Hydrological Decade to represent `typical' mass and energy processes on glaciers in different climatic regions around

  5. Cross Section Evaluation Group shielding benchmark compilation. Volume II

    SciTech Connect (OSTI)

    Rose, P.F.; Roussin, R.W.

    1983-12-01T23:59:59.000Z

    At the time of the release of ENDF/B-IV in 1974, the Shielding Subcommittee had identified a series of 12 shielding data testing benchmarks (the SDT series). Most were used in the ENDF/B-IV data testing effort. A new concept and series was begun in the interim, the so-called Shielding Benchmark (SB) series. An effort was made to upgrade the SDT series as far as possible and to add new SB benchmarks. In order to be designated in the SB class, both an experiment and analysis must have been performed. The current recommended benchmark for Shielding Data Testing are listed. Until recently, the philosophy has been to include only citations to published references for shielding benchmarks. It is now our intention to provide adequate information in this volume for proper analysis of any new benchmarks added to the collection. These compilations appear in Section II, with the SB5 Fusion Reactor Shielding Benchmark as the first entry.

  6. Constraining Energy Consumption of China's Largest Industrial Enterprises Through the Top-1000 Energy-Consuming Enterprise Program

    E-Print Network [OSTI]

    Price, Lynn; Wang, Xuejun

    2007-01-01T23:59:59.000Z

    energy audits, energy benchmarking, and identification of energy-efficient technologies and measures, working with provincial-level energy conservation centers and technical universities

  7. China's Top-1000 Energy-Consuming Enterprises Program: Reducing Energy Consumption of the 1000 Largest Industrial Enterprises in China

    E-Print Network [OSTI]

    Price, Lynn

    2008-01-01T23:59:59.000Z

    energy audits, energy benchmarking, and identification of energy-efficient technologies and measures, working with provincial-level energy conservation centers and technical universities

  8. Benchmark West Texas Intermediate crude assayed

    SciTech Connect (OSTI)

    Rhodes, A.K.

    1994-08-15T23:59:59.000Z

    The paper gives an assay of West Texas Intermediate, one of the world's market crudes. The price of this crude, known as WTI, is followed by market analysts, investors, traders, and industry managers around the world. WTI price is used as a benchmark for pricing all other US crude oils. The 41[degree] API < 0.34 wt % sulfur crude is gathered in West Texas and moved to Cushing, Okla., for distribution. The WTI posted prices is the price paid for the crude at the wellhead in West Texas and is the true benchmark on which other US crudes are priced. The spot price is the negotiated price for short-term trades of the crude. And the New York Mercantile Exchange, or Nymex, price is a futures price for barrels delivered at Cushing.

  9. Web-based energy information systems for energy management and demand response in commercial buildings

    E-Print Network [OSTI]

    Motegi, Naoya; Piette, Mary Ann; Kinney, Satkartar; Herter, Karen

    2003-01-01T23:59:59.000Z

    Commercial Building Energy Benchmarking Database”.2002 ACEEE Summer Study on Energy Efficiency in Buildings.Burns, August 2001. “Energy-Related Information Services”.

  10. Measured energy performance of a US-China demonstration energy-efficient office building

    E-Print Network [OSTI]

    Xu, Peng; Huang, Joe; Jin, Ruidong; Yang, Guoxiong

    2006-01-01T23:59:59.000Z

    good benchmark energy consumption data for buildings, and (total energy consumption Although the measured data arelimited data available for building energy consumption in

  11. Accidental Hospital Deaths

    E-Print Network [OSTI]

    Bhat, Prashant

    2011-01-01T23:59:59.000Z

    Staphylococcus Aureus (MRSA) Bloodstream Infections. Scienceof Antibiotic-Resistant MRSA Bacteria. Consumersunion.org.Staphylococcus Aureus (MRSA), the leading cause of hospital

  12. Thermal codes benchmarking: HEATING6 results

    SciTech Connect (OSTI)

    Bryan, C.B.; Childs, K.W.

    1985-08-01T23:59:59.000Z

    The Oak Ridge National Laboratory, in support of Sandia National Laboratories Transportation Technology Center, has developed solutions to four model test problems which serve as comparison benchmarks for thermal computer codes currently being used in the design and analysis of nuclear fuel shipping casks. These problems include steady-state and transient simulations; conductive, convective, and radiative heat transfer mechanisms; internal heat sources; multiple materials; and one- and two-dimensional geometries. Solutions to these model thermal problems produced by an enhanced version of HEATING6 are presented in this report. 4 refs., 19 figs., 14 tabs.

  13. Advanced Technology Vehicle Lab Benchmarking - Level 2 (in-depth...

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

    Other Institutions 13 J1711 HEV & PHEV test procedures In-depth Benchmarking DOE technology evaluation * DOE requests * National Lab requests AVTA (Advanced Vehicle Testing...

  14. Transcript of March 28, 2013, TAP webinar titled Internal Benchmarking...

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

    currently managed. Planning for a data collection method gets at creating a benchmarking process that's manageable for everyone involved. Effective data sharing helps spread the...

  15. aer6 benchmark problem: Topics by E-print Network

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

    CMA-ES with Restarts for Solving CEC 2013 Benchmark Problems Ilya Loshchilov Laboratory Evolution Strategies comes from the use of correlated mutations instead of axis-parallel...

  16. aer benchmark specification: Topics by E-print Network

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

    that Earth Science problems are typical of the problems of engineering and scientific DBMS users, we claim that this benchmark represents the needs of this more general...

  17. applications benchmark exercise: Topics by E-print Network

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

    that Earth Science problems are typical of the problems of engineering and scientific DBMS users, we claim that this benchmark represents the needs of this more general...

  18. association benchmarking network: Topics by E-print Network

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

    that Earth Science problems are typical of the problems of engineering and scientific DBMS users, we claim that this benchmark represents the needs of this more general...

  19. New Benchmark Instances for the Capacitated Vehicle Routing ...

    E-Print Network [OSTI]

    Eduardo Uchoa

    2014-10-14T23:59:59.000Z

    Oct 14, 2014 ... New Benchmark Instances for the Capacitated Vehicle Routing Problem. Eduardo Uchoa (uchoa ***at*** producao.uff.br) Diego Pecin ...

  20. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    of obtaining maximum boiler efficiency are con~ sidered. Aprogram f or monitoring boiler efficiency was established; aboiler operation and control involved combustion and utilization efficiency,

  1. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    associated with heating, ventilation, and air conditioninglighting, heating, ventilation and air conditioning. theenergy usage. Heating, ventilation, and cooling systems

  2. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    ilDesign Guidelines for Solid Waste Boiler Sys- tems:heat pump systems. and solid-waste boiler systems. Theof a regional. centralized solid waste management system for

  3. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    discussions of solar collector function and applications.77, methods of testing solar collectors; ASHRAE standard 94~are: HVAC systems, solar collectors, maintenance. materials

  4. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01T23:59:59.000Z

    heat pump systems. and solid-waste boiler systems. TheilDesign Guidelines for Solid Waste Boiler Sys- tems:steam, chilled water and solid waste incinera- tion to the

  5. Energy efficiency indicators for high electric-load buildings

    E-Print Network [OSTI]

    Aebischer, Bernard; Balmer, Markus A.; Kinney, Satkartar; Le Strat, Pascale; Shibata, Yoshiaki; Varone, Frederic

    2003-01-01T23:59:59.000Z

    Aebischer, A. Huser, 2003: Energy Consumption of InformationCalifornia Commercial Building Energy Benchmarking Database.Architekt Nr. 50, p. The Energy Data and Modelling Center,

  6. SEE Action Series: Local Strategies for Whole-Building Energy...

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

    Energy Savings. Presentation More Documents & Publications Energy Audit and Retro-Commissioning Policies for Public and Commercial Buildings Energy Performance Benchmarking and...

  7. Computational Thermochemistry and Benchmarking of Reliable Methods

    SciTech Connect (OSTI)

    Feller, David F.; Dixon, David A.; Dunning, Thom H.; Dupuis, Michel; McClemore, Doug; Peterson, Kirk A.; Xantheas, Sotiris S.; Bernholdt, David E.; Windus, Theresa L.; Chalasinski, Grzegorz; Fosada, Rubicelia; Olguim, Jorge; Dobbs, Kerwin D.; Frurip, Donald; Stevens, Walter J.; Rondan, Nelson; Chase, Jared M.; Nichols, Jeffrey A.

    2006-06-20T23:59:59.000Z

    During the first and second years of the Computational Thermochemistry and Benchmarking of Reliable Methods project, we completed several studies using the parallel computing capabilities of the NWChem software and Molecular Science Computing Facility (MSCF), including large-scale density functional theory (DFT), second-order Moeller-Plesset (MP2) perturbation theory, and CCSD(T) calculations. During the third year, we continued to pursue the computational thermodynamic and benchmarking studies outlined in our proposal. With the issues affecting the robustness of the coupled cluster part of NWChem resolved, we pursued studies of the heats-of-formation of compounds containing 5 to 7 first- and/or second-row elements and approximately 10 to 14 hydrogens. The size of these systems, when combined with the large basis sets (cc-pVQZ and aug-cc-pVQZ) that are necessary for extrapolating to the complete basis set limit, creates a formidable computational challenge, for which NWChem on NWMPP1 is well suited.

  8. Jackson Park Hospital Green Building Medical Center

    SciTech Connect (OSTI)

    William Dorsey; Nelson Vasquez

    2010-03-01T23:59:59.000Z

    Jackson Park Hospital completed the construction of a new Medical Office Building on its campus this spring. The new building construction has adopted the City of Chicago�s recent focus on protecting the environment, and conserving energy and resources, with the introduction of green building codes. Located in a poor, inner city neighborhood on the South side of Chicago, Jackson Park Hospital has chosen green building strategies to help make the area a better place to live and work.

  9. Benchmarking analysis of three multimedia models: RESRAD, MMSOILS, and MEPAS

    SciTech Connect (OSTI)

    Cheng, J.J.; Faillace, E.R.; Gnanapragasam, E.K. [and others

    1995-11-01T23:59:59.000Z

    Multimedia modelers from the United States Environmental Protection Agency (EPA) and the United States Department of Energy (DOE) collaborated to conduct a comprehensive and quantitative benchmarking analysis of three multimedia models. The three models-RESRAD (DOE), MMSOILS (EPA), and MEPAS (DOE)-represent analytically based tools that are used by the respective agencies for performing human exposure and health risk assessments. The study is performed by individuals who participate directly in the ongoing design, development, and application of the models. A list of physical/chemical/biological processes related to multimedia-based exposure and risk assessment is first presented as a basis for comparing the overall capabilities of RESRAD, MMSOILS, and MEPAS. Model design, formulation, and function are then examined by applying the models to a series of hypothetical problems. Major components of the models (e.g., atmospheric, surface water, groundwater) are evaluated separately and then studied as part of an integrated system for the assessment of a multimedia release scenario to determine effects due to linking components of the models. Seven modeling scenarios are used in the conduct of this benchmarking study: (1) direct biosphere exposure, (2) direct release to the air, (3) direct release to the vadose zone, (4) direct release to the saturated zone, (5) direct release to surface water, (6) surface water hydrology, and (7) multimedia release. Study results show that the models differ with respect to (1) environmental processes included (i.e., model features) and (2) the mathematical formulation and assumptions related to the implementation of solutions (i.e., parameterization).

  10. Benchmarking kinetic calculations of resistive wall mode stability

    SciTech Connect (OSTI)

    Berkery, J. W.; Sabbagh, S. A. [Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027 (United States)] [Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027 (United States); Liu, Y. Q. [Euratom/CCFE Fusion Association, Culham Science Centre, Abingdon OX14 3DB (United Kingdom)] [Euratom/CCFE Fusion Association, Culham Science Centre, Abingdon OX14 3DB (United Kingdom); Wang, Z. R.; Logan, N. C.; Park, J.-K.; Manickam, J. [Princeton Plasma Physics Laboratory, Princeton University, Princeton, New Jersey 08543 (United States)] [Princeton Plasma Physics Laboratory, Princeton University, Princeton, New Jersey 08543 (United States); Betti, R. [Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623 (United States)] [Laboratory for Laser Energetics, University of Rochester, Rochester, New York 14623 (United States)

    2014-05-15T23:59:59.000Z

    Validating the calculations of kinetic resistive wall mode (RWM) stability is important for confidently predicting RWM stable operating regions in ITER and other high performance tokamaks for disruption avoidance. Benchmarking the calculations of the Magnetohydrodynamic Resistive Spectrum—Kinetic (MARS-K) [Y. Liu et al., Phys. Plasmas 15, 112503 (2008)], Modification to Ideal Stability by Kinetic effects (MISK) [B. Hu et al., Phys. Plasmas 12, 057301 (2005)], and Perturbed Equilibrium Nonambipolar Transport (PENT) [N. Logan et al., Phys. Plasmas 20, 122507 (2013)] codes for two Solov'ev analytical equilibria and a projected ITER equilibrium has demonstrated good agreement between the codes. The important particle frequencies, the frequency resonance energy integral in which they are used, the marginally stable eigenfunctions, perturbed Lagrangians, and fluid growth rates are all generally consistent between the codes. The most important kinetic effect at low rotation is the resonance between the mode rotation and the trapped thermal particle's precession drift, and MARS-K, MISK, and PENT show good agreement in this term. The different ways the rational surface contribution was treated historically in the codes is identified as a source of disagreement in the bounce and transit resonance terms at higher plasma rotation. Calculations from all of the codes support the present understanding that RWM stability can be increased by kinetic effects at low rotation through precession drift resonance and at high rotation by bounce and transit resonances, while intermediate rotation can remain susceptible to instability. The applicability of benchmarked kinetic stability calculations to experimental results is demonstrated by the prediction of MISK calculations of near marginal growth rates for experimental marginal stability points from the National Spherical Torus Experiment (NSTX) [M. Ono et al., Nucl. Fusion 40, 557 (2000)].

  11. Benchmark Evaluation of HTR-PROTEUS Pebble Bed Experimental Program

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

    Bess, John D.; Montierth, Leland M.; Koberl, Oliver; Snoj, Luka

    2014-10-09T23:59:59.000Z

    Benchmark models were developed to evaluate 11 critical core configurations of the HTR-PROTEUS pebble bed experimental program. Various additional reactor physics measurements were performed as part of this program; currently only a total of 37 absorber rod worth measurements have been evaluated as acceptable benchmark experiments for Cores 4, 9, and 10. Dominant uncertainties in the experimental keff for all core configurations come from uncertainties in the 235U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greater than the benchmark values but within 1% and also within the 3s uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3s) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4s. The primary difference between the two nuclear data libraries is the adjustment of the absorption cross section of graphite. Simulations of the absorber rod worth measurements are within 3s of the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.

  12. Co-Facilitator Learning Community (CFLC) Facilitator Benchmarking Survey

    E-Print Network [OSTI]

    Sheridan, Jennifer

    1 Co-Facilitator Learning Community (CFLC) Facilitator Benchmarking Survey Office for Equity & Diversity (OED), University of Wisconsin-Madison Greetings! We invite you to join the Co-Facilitator Learning Community. This survey is designed for self-"benchmarking" of your co-facilitation understandings

  13. vendredi 7 dcembre 2012 Benchmarking of Excavated Soil

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    vendredi 7 décembre 2012 Benchmarking of Excavated Soil Reuse Management in Europe & Development · Implementation at a National Level: different options, different tools > Challenge with Excavated Soil Reuse from some experienced countries. vendredi 7 décembre 2012 D3E / DG > 2 Benchmarking of Excavated Soil

  14. Benchmark Evaluation of HTR-PROTEUS Pebble Bed Experimental Program

    SciTech Connect (OSTI)

    John D. Bess; Leland M. Montierth; Oliver Koberl; Luka Snoj

    2015-01-01T23:59:59.000Z

    Benchmark models were developed to evaluate 11 critical core configurations of the HTR-PROTEUS pebble bed experimental program. Various additional reactor physics measurements were performed as part of this program; currently only a total of 37 absorber rod worth measurements have been evaluated as acceptable benchmark experiments for Cores 4, 9, and 10. Dominant uncertainties in the experimental keff for all core configurations come from uncertainties in the 235U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greater than the benchmark values but within 1% and also within the 3s uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3s) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4s. The primary difference between the two nuclear data libraries is the adjustment of the absorption cross section of graphite. Simulations of the absorber rod worth measurements are within 3s of the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.

  15. Sandia National Laboratories: Renewable Energy

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

    wind energy by addressing complex system issues associated with wind plants. Current wind-plant optimization research topics include: benchmarking ... Solar Furnace On November...

  16. Generation IV benchmarking of TRISO fuel performance models under accident conditions. Modeling input data

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01T23:59:59.000Z

    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.

  17. Benchmark of the Convex C-1 mini supercomputer

    SciTech Connect (OSTI)

    Simmons, M.L.; Lubeck, OlM.

    1986-01-01T23:59:59.000Z

    In July 1985, we benchmarked the Convex C-1 computer at the Convex plant in Richardson, Texas. The machine is marketed as a mini-supercomputer executing a UNIX operating system. The architecture includes vector functional units, 16-million 64-bit words of physical memory and 64 kbytes of set-associative cache between main memory and the CPU. The standard one-processor Los Alamos benchmarks were executed and timed in both single-precision (32-bit) and double-precision (64-bit) floating-point mode. Subsequent to the July benchmark, the machine architecture was changed to expand the cache bypass for vector memory accesses. The benchmarks were redone in October 1985 to include the significant architecture modification. The results in this paper are from the latest benchmark.

  18. Benchmarking D and D procurement best practices at four commercial nuclear power plants.

    SciTech Connect (OSTI)

    Arflin, J.; Baker, G.; Bidwell, B.; Bugielski, D.; Cavanagh, J.; Sandlin, N.

    1999-05-11T23:59:59.000Z

    The Department of Energy (DOE) has as two of its strategic objectives to safely accomplish the world's largest environmental clean-up of contaminated sites and the adoption of the best management practices of the private sector to achieve business-like results efficiently and effectively. An integral part of the strategic response to the challenges facing the Department has been the use of benchmarking and best practice management to facilitate identifying and implementing leading-edge thinking, practices, approaches, and solutions.

  19. Establishing Benchmarks for DOE Commercial Building R&D and Program Evaluation: Preprint

    SciTech Connect (OSTI)

    Deru, M.; Griffith, B.; Torcellini, P.

    2006-06-01T23:59:59.000Z

    The U.S. Department of Energy (DOE) Building Technologies Program and the DOE research laboratories conduct a great deal of research on building technologies. However, differences in models and simulation tools used by various research groups make it difficult to compare results among studies. The authors have developed a set of 22 hypothetical benchmark buildings and weighting factors for nine locations across the country, for a total of 198 buildings.

  20. Model Reference Sliding Mode Control for Bioreactor Benchmark Mehmet Onder Efe

    E-Print Network [OSTI]

    Efe, Mehmet Önder

    Model Reference Sliding Mode Control for Bioreactor Benchmark Problem Mehmet ¨Onder Efe Abstract on relevant control challenges displayed by chemical processes. In [2], Ungar defines a Bioreactor Benchmark

  1. Low energy isomers of (H2O)25 from a hierarchical method based on Monte Carlo Temperature Basin Paving and Molecular Tailoring Approaches benchmarked by full MP2 calculations

    SciTech Connect (OSTI)

    Sahu, Nityananda; Gadre, Shridhar R.; Bandyopadhyay, Pradipta; Miliordos, Evangelos; Xantheas, Sotiris S.

    2014-10-28T23:59:59.000Z

    We report new global minimum candidate structures for the (H2O)25 cluster that are lower in energy than the ones reported previously and correspond to hydrogen bonded networks with 42 hydrogen bonds and an interior, fully coordinated water molecule. These were obtained as a result of a hierarchical approach based on initial Monte Carlo Temperature Basin Paving (MCTBP) sampling of the cluster’s Potential Energy Surface (PES) with the Effective Fragment Potential (EFP), subsequent geometry optimization using the Molecular Tailoring fragmentation Approach (MTA) and final refinement at the second order Møller Plesset perturbation (MP2) level of theory. The MTA geometry optimizations used between 14 and 18 main fragments with maximum sizes between 11 and 14 water molecules and average size of 10 water molecules, whose energies and gradients were computed at the MP2 level. The MTA-MP2 optimized geometries were found to be quite close (within < 0.5 kcal/mol) to the ones obtained from the MP2 optimization of the whole cluster. The grafting of the MTA-MP2 energies yields electronic energies that are within < 5×10-4 a.u. from the MP2 results for the whole cluster while preserving their energy order. The MTA-MP2 method was also found to reproduce the MP2 harmonic vibrational frequencies in both the HOH bending and the OH stretching regions.

  2. Low energy isomers of (H{sub 2}O){sub 25} from a hierarchical method based on Monte Carlo temperature basin paving and molecular tailoring approaches benchmarked by MP2 calculations

    SciTech Connect (OSTI)

    Sahu, Nityananda; Gadre, Shridhar R., E-mail: gadre@iitk.ac.in, E-mail: sotiris.xantheas@pnnl.gov [Department of Chemistry, Indian Institute of Technology Kanpur, Kanpur 208016 (India); Rakshit, Avijit; Bandyopadhyay, Pradipta [School of Computational and Integrative Sciences, Jawaharlal Nehru University, New Delhi 110067 (India); Miliordos, Evangelos; Xantheas, Sotiris S., E-mail: gadre@iitk.ac.in, E-mail: sotiris.xantheas@pnnl.gov [Physical Sciences Division, Pacific Northwest National Laboratory, 902 Battelle Boulevard, P.O. Box 999, MS K1-83, Richland, Washington 99352 (United States)

    2014-10-28T23:59:59.000Z

    We report new global minimum candidate structures for the (H{sub 2}O){sub 25} cluster that are lower in energy than the ones reported previously and correspond to hydrogen bonded networks with 42 hydrogen bonds and an interior, fully coordinated water molecule. These were obtained as a result of a hierarchical approach based on initial Monte Carlo Temperature Basin Paving sampling of the cluster's Potential Energy Surface with the Effective Fragment Potential, subsequent geometry optimization using the Molecular Tailoring Approach with the fragments treated at the second order Møller-Plesset (MP2) perturbation (MTA-MP2) and final refinement of the entire cluster at the MP2 level of theory. The MTA-MP2 optimized cluster geometries, constructed from the fragments, were found to be within <0.5 kcal/mol from the minimum geometries obtained from the MP2 optimization of the entire (H{sub 2}O){sub 25} cluster. In addition, the grafting of the MTA-MP2 energies yields electronic energies that are within <0.3 kcal/mol from the MP2 energies of the entire cluster while preserving their energy rank order. Finally, the MTA-MP2 approach was found to reproduce the MP2 harmonic vibrational frequencies, constructed from the fragments, quite accurately when compared to the MP2 ones of the entire cluster in both the HOH bending and the OH stretching regions of the spectra.

  3. Drug Overdose Deaths, Hospitalizations,

    E-Print Network [OSTI]

    MacAdam, Keith

    Drug Overdose Deaths, Hospitalizations, and Emergency Department Visits in Kentucky, 2000 - 2012 #12; Kentucky Injury Preven on and Research Center Drug Overdose Deaths, Hospitaliza ons . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2 Drug overdose deaths, 20002012

  4. MCNP calculations for criticality-safety benchmarks with ENDF/B-V and ENDF/B-VI libraries

    SciTech Connect (OSTI)

    Iverson, J.L.; Mosteller, R.D.

    1995-07-01T23:59:59.000Z

    The MCNP Monte Carlo code, in conjunction with its continuous-energy ENDF/B-V and ENDF/B-VI cross-section libraries, has been benchmarked against results from 27 different critical experiments. The predicted values of k{sub eff} are in excellent agreement with the benchmarks, except for the ENDF/B-V results for solutions of plutonium nitrate and, to a lesser degree, for the ENDF/B-V and ENDF/B-VI results for a bare sphere of {sup 233}U.

  5. Benchmark Evaluation of HTR-PROTEUS Pebble Bed Experimental Program

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

    Bess, John D.; Montierth, Leland M.; Koberl, Oliver; Snoj, Luka

    2014-10-09T23:59:59.000Z

    Benchmark models were developed to evaluate 11 critical core configurations of the HTR-PROTEUS pebble bed experimental program. Various additional reactor physics measurements were performed as part of this program; currently only a total of 37 absorber rod worth measurements have been evaluated as acceptable benchmark experiments for Cores 4, 9, and 10. Dominant uncertainties in the experimental keff for all core configurations come from uncertainties in the 235U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greater than the benchmarkmore »values but within 1% and also within the 3s uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3s) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4s. The primary difference between the two nuclear data libraries is the adjustment of the absorption cross section of graphite. Simulations of the absorber rod worth measurements are within 3s of the benchmark experiment values. The complete benchmark evaluation details are available in the 2014 edition of the International Handbook of Evaluated Reactor Physics Benchmark Experiments.« less

  6. INL Results for Phases I and III of the OECD/NEA MHTGR-350 Benchmark

    SciTech Connect (OSTI)

    Gerhard Strydom; Javier Ortensi; Sonat Sen; Hans Hammer

    2013-09-01T23:59:59.000Z

    The Idaho National Laboratory (INL) Very High Temperature Reactor (VHTR) Technology Development Office (TDO) Methods Core Simulation group led the construction of the Organization for Economic Cooperation and Development (OECD) Modular High Temperature Reactor (MHTGR) 350 MW benchmark for comparing and evaluating prismatic VHTR analysis codes. The benchmark is sponsored by the OECD's Nuclear Energy Agency (NEA), and the project will yield a set of reference steady-state, transient, and lattice depletion problems that can be used by the Department of Energy (DOE), the Nuclear Regulatory Commission (NRC), and vendors to assess their code suits. The Methods group is responsible for defining the benchmark specifications, leading the data collection and comparison activities, and chairing the annual technical workshops. This report summarizes the latest INL results for Phase I (steady state) and Phase III (lattice depletion) of the benchmark. The INSTANT, Pronghorn and RattleSnake codes were used for the standalone core neutronics modeling of Exercise 1, and the results obtained from these codes are compared in Section 4. Exercise 2 of Phase I requires the standalone steady-state thermal fluids modeling of the MHTGR-350 design, and the results for the systems code RELAP5-3D are discussed in Section 5. The coupled neutronics and thermal fluids steady-state solution for Exercise 3 are reported in Section 6, utilizing the newly developed Parallel and Highly Innovative Simulation for INL Code System (PHISICS)/RELAP5-3D code suit. Finally, the lattice depletion models and results obtained for Phase III are compared in Section 7. The MHTGR-350 benchmark proved to be a challenging simulation set of problems to model accurately, and even with the simplifications introduced in the benchmark specification this activity is an important step in the code-to-code verification of modern prismatic VHTR codes. A final OECD/NEA comparison report will compare the Phase I and III results of all other international participants in 2014, while the remaining Phase II transient case results will be reported in 2015.

  7. Polish-American Children's Hospital in Krakow, Poland

    SciTech Connect (OSTI)

    Secrest, T.J.; Szydlowski, R.F. (Pacific Northwest Lab., Richland, WA (United States)); Wade, D. (RDA Engineering, Inc., Marietta, GA (United States))

    1993-03-01T23:59:59.000Z

    In late 1990 staff from the US Department of Energy's Office of Technical and Financial Assistance identified the Polish-American Children's Hospital as a potential site for application of DOE expertise to reduce the Hospital's energy requirements. Visits to the hospital in the fall and winter of 1991--1992 provided initial scoping of the energy related activities that would be supported by DOE. In addition to reducing energy requirements, the Hospital staff expressed a need for assistance in the areas of power quality and medical waste incineration. Subsequently, a power quality study supported by the Electric Power and Research Institute has been initiated and medical waste incineration will be provided by a Polish organization. The resulting scope of work for this effort is to survey the Hospital's thermal energy supply and demand systems to identify no-cost and low-cost measures that will reduce the Hospital's energy requirements. Applicable measures would then be demonstrated in the Hospital through a partnership with US and Polish organizations and a sister hospital in the United States.

  8. Rhodes Hall Ross Heart Hospital

    E-Print Network [OSTI]

    Howat, Ian M.

    Emergency 315 315 26 Rhodes Hall Ross Heart Hospital James Cancer Hospital Martha Morehouse.m. James Cancer Hospital 7:10 a.m. Rhodes Hall 7:13 a.m. Ross Heart Hospital 7:15 a.m. Martha Morehouse

  9. Benchmark Evaluation of Plutonium Nitrate Solution Arrays

    SciTech Connect (OSTI)

    M. A. Marshall; J. D. Bess

    2011-09-01T23:59:59.000Z

    In October and November of 1981 thirteen approach-to-critical experiments were performed on a remote split table machine (RSTM) in the Critical Mass Laboratory of Pacific Northwest Laboratory (PNL) in Richland, Washington, using planar arrays of polyethylene bottles filled with plutonium (Pu) nitrate solution. Arrays of up to sixteen bottles were used to measure the critical number of bottles and critical array spacing with a tight fitting Plexiglas{reg_sign} reflector on all sides of the arrays except the top. Some experiments used Plexiglas shells fitted around each bottles to determine the effect of moderation on criticality. Each bottle contained approximately 2.4 L of Pu(NO3)4 solution with a Pu content of 105 g Pu/L and a free acid molarity H+ of 5.1. The plutonium was of low 240Pu (2.9 wt.%) content. These experiments were performed to fill a gap in experimental data regarding criticality limits for storing and handling arrays of Pu solution in reprocessing facilities. Of the thirteen approach-to-critical experiments eleven resulted in extrapolations to critical configurations. Four of the approaches were extrapolated to the critical number of bottles; these were not evaluated further due to the large uncertainty associated with the modeling of a fraction of a bottle. The remaining seven approaches were extrapolated to critical array spacing of 3-4 and 4-4 arrays; these seven critical configurations were evaluation for inclusion as acceptable benchmark experiments in the International Criticality Safety Benchmark Evaluation Project (ICSBEP) Handbook. Detailed and simple models of these configurations were created and the associated bias of these simplifications was determined to range from 0.00116 and 0.00162 {+-} 0.00006 ?keff. Monte Carlo analysis of all models was completed using MCNP5 with ENDF/BVII.0 neutron cross section libraries. A thorough uncertainty analysis of all critical, geometric, and material parameters was performed using parameter perturbation methods. It was found that uncertainty in the impurities in the polyethylene bottles, reflector position, bottle outer diameter, and critical array spacing had the largest effect. The total uncertainty ranged from 0.00651 to 0.00920 ?keff. Evaluation methods and results will be presented and discussed in greater detail in the full paper.

  10. Benchmarking of Planning Models Using Recorded Dynamics

    SciTech Connect (OSTI)

    Huang, Zhenyu; Yang, Bo; Kosterev, Dmitry

    2009-03-15T23:59:59.000Z

    Power system planning extensively uses model simulation to understand the dynamic behaviors and determine the operating limits of a power system. Model quality is key to the safety and reliability of electricity delivery. Planning model benchmarking, or model validation, has been one of the central topics in power engineering studies for years. As model validation aims at obtaining reasonable models to represent dynamic behavior of power system components, it has been essential to validate models against actual measurements. The development of phasor technology provides such measurements and represents a new opportunity for model validation as phasor measurements can capture power system dynamics with high-speed, time-synchronized data. Previously, methods for rigorous comparison of model simulation and recorded dynamics have been developed and applied to quantify model quality of power plants in the Western Electricity Coordinating Council (WECC). These methods can locate model components which need improvement. Recent work continues this effort and focuses on how model parameters may be calibrated to match recorded dynamics after the problematic model components are identified. A calibration method using Extended Kalman Filter technique is being developed. This paper provides an overview of prior work on model validation and presents new development on the calibration method and initial results of model parameter calibration.

  11. Soft Biometrics Database: A Benchmark For Keystroke Dynamics Biometric Systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Soft Biometrics Database: A Benchmark For Keystroke Dynamics Biometric Systems Syed Zulkarnain Syed authentication resulting in a more se- cure verification system. Soft biometrics allows a refinement the existing biometric modalities, authentication systems based on keystroke dynamics are particularly

  12. BENCHMARK DATA FOR STRUCTURAL HEALTH MONITORING Jyrki Kullaa

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    BENCHMARK DATA FOR STRUCTURAL HEALTH MONITORING Jyrki Kullaa Helsinki Metropolia University analysis is a key function in structural health monitoring (SHM). To develop algorithms for SHM, one needs. KEYWORDS : structural health monitoring, damage detection, environmental or operational effects, moving

  13. Benchmark problems and results for verifying resonance calculation methodologies

    SciTech Connect (OSTI)

    Wu, H.; Yang, W.; Qin, Y.; He, L.; Cao, L.; Zheng, Y.; Liu, Q. [NECP Laboratory, School of Nuclear Science and Technology, Xi'An Jiaotong Univ., 710049 (China)

    2012-07-01T23:59:59.000Z

    Resonance calculation is one of the most important procedures for the multi-group neutron transport calculation. With the development of nuclear reactor concepts, many new types of fuel assembly are raised. Compared to the traditional designs, most of the new fuel assemblies have different fuel types either with complex isotopes or with complicated geometry. This makes the traditional resonance calculation method invalid. Recently, many advanced resonance calculation methods are proposed. However, there are few benchmark problems for evaluating those methods with a comprehensive comparison. In this paper, we design 5 groups of benchmark problems including 21 typical cases of different geometries and fuel contents. The reference results of the benchmark problems are generated based on the sub-group method, ultra-fine group method, function expanding method and Monte Carlo method. It is shown that those benchmark problems and their results could be helpful to evaluate the validity of the newly developed resonance calculation method in the future work. (authors)

  14. Benchmarking of OEM Hybrid Electric Vehicles at NREL: Milestone Report

    SciTech Connect (OSTI)

    Kelly, K. J.; Rajagopalan, A.

    2001-10-26T23:59:59.000Z

    A milestone report that describes the NREL's progress and activities related to the DOE FY2001 Annual Operating Plan milestone entitled ''Benchmark 2 new production or pre-production hybrids with ADVISOR.''

  15. Issues in benchmarking human reliability analysis methods : a literature review.

    SciTech Connect (OSTI)

    Lois, Erasmia (US Nuclear Regulatory Commission); Forester, John Alan; Tran, Tuan Q. (Idaho National Laboratory, Idaho Falls, ID); Hendrickson, Stacey M. Langfitt; Boring, Ronald L. (Idaho National Laboratory, Idaho Falls, ID)

    2008-04-01T23:59:59.000Z

    There is a diversity of human reliability analysis (HRA) methods available for use in assessing human performance within probabilistic risk assessment (PRA). Due to the significant differences in the methods, including the scope, approach, and underlying models, there is a need for an empirical comparison investigating the validity and reliability of the methods. To accomplish this empirical comparison, a benchmarking study is currently underway that compares HRA methods with each other and against operator performance in simulator studies. In order to account for as many effects as possible in the construction of this benchmarking study, a literature review was conducted, reviewing past benchmarking studies in the areas of psychology and risk assessment. A number of lessons learned through these studies are presented in order to aid in the design of future HRA benchmarking endeavors.

  16. Los Alamos National Lab staff benchmark Y-12 sustainability programs...

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

    Los Alamos National Lab ... Los Alamos National Lab staff benchmark Y-12 sustainability programs Posted: June 27, 2013 - 3:53pm OAK RIDGE, Tenn. - Staff from Los Alamos National...

  17. A proposed benchmark for simulation in radiographic testing

    SciTech Connect (OSTI)

    Jaenisch, G.-R.; Deresch, A.; Bellon, C. [Federal Institute for Materials Research and Testing Unter den Eichen 87, 12205 Berlin (Germany); Schumm, A.; Guerin, P. [EDF R and D, 1 avenue du Général de Gaulle, 92141 Clamart (France)

    2014-02-18T23:59:59.000Z

    The purpose of this benchmark study is to compare simulation results predicted by various models of radiographic testing, in particular those that are capable of separately predicting primary and scatter radiation for specimens of arbitrary geometry.

  18. A benchmark study on the thermal conductivity of nanofluids

    E-Print Network [OSTI]

    Buongiorno, Jacopo

    This article reports on the International Nanofluid Property Benchmark Exercise, or INPBE, in which the thermal conductivity of identical samples of colloidally stable dispersions of nanoparticles or “nanofluids,” was ...

  19. A benchmark suite with virtualized reality models for supporting tracking evaluation and data set generation

    E-Print Network [OSTI]

    Boyer, Edmond

    ) Benchmark resources Sharing of benchmarking results A : Datasets GenerateA benchmark suite with virtualized reality models for supporting tracking evaluation and data set laurence.nigay@imag.fr Takeshi Kurata AIST, Japan t.kurata@aist.go.jp Abstract We describe a benchmark

  20. ScalaBenchGen: Auto-Generation of Communication Benchmarks Traces Department of Computer Science

    E-Print Network [OSTI]

    Mueller, Frank

    ScalaBenchGen: Auto-Generation of Communication Benchmarks Traces Xing Wu Department of Computer@cs.ncsu.edu Abstract--Benchmarks are essential for evaluating HPC hardware and software for petascale machines and beyond. But benchmark creation is a tedious manual process. As a result, benchmarks tend to lag behind

  1. Neal Nelson DB Benchmark Final Draft 1 THE NEAL NELSON DATABASE BENCHMARKTM

    E-Print Network [OSTI]

    Narasayya, Vivek

    conducting a DBMS benchmark. 1) DBMS companies conduct benchmarks to demonstrate the strengths wrong. 2) Computer equipment companies conduct DBMS benchmarks to show how well their machines perform. A DBMS benchmark is viewed as a necessary evil to accomplishing the real goal (sell the computer

  2. WIPP Benchmark calculations with the large strain SPECTROM codes

    SciTech Connect (OSTI)

    Callahan, G.D.; DeVries, K.L. [RE/SPEC, Inc., Rapid City, SD (United States)

    1995-08-01T23:59:59.000Z

    This report provides calculational results from the updated Lagrangian structural finite-element programs SPECTROM-32 and SPECTROM-333 for the purpose of qualifying these codes to perform analyses of structural situations in the Waste Isolation Pilot Plant (WIPP). Results are presented for the Second WIPP Benchmark (Benchmark II) Problems and for a simplified heated room problem used in a parallel design calculation study. The Benchmark II problems consist of an isothermal room problem and a heated room problem. The stratigraphy involves 27 distinct geologic layers including ten clay seams of which four are modeled as frictionless sliding interfaces. The analyses of the Benchmark II problems consider a 10-year simulation period. The evaluation of nine structural codes used in the Benchmark II problems shows that inclusion of finite-strain effects is not as significant as observed for the simplified heated room problem, and a variety of finite-strain and small-strain formulations produced similar results. The simplified heated room problem provides stratigraphic complexity equivalent to the Benchmark II problems but neglects sliding along the clay seams. The simplified heated problem does, however, provide a calculational check case where the small strain-formulation produced room closures about 20 percent greater than those obtained using finite-strain formulations. A discussion is given of each of the solved problems, and the computational results are compared with available published results. In general, the results of the two SPECTROM large strain codes compare favorably with results from other codes used to solve the problems.

  3. Continuous Reliability Enhancement for Wind (CREW) database : wind plant reliability benchmark.

    SciTech Connect (OSTI)

    Hines, Valerie Ann-Peters; Ogilvie, Alistair B.; Bond, Cody R.

    2013-09-01T23:59:59.000Z

    To benchmark the current U.S. wind turbine fleet reliability performance and identify the major contributors to component-level failures and other downtime events, the Department of Energy funded the development of the Continuous Reliability Enhancement for Wind (CREW) database by Sandia National Laboratories. This report is the third annual Wind Plant Reliability Benchmark, to publically report on CREW findings for the wind industry. The CREW database uses both high resolution Supervisory Control and Data Acquisition (SCADA) data from operating plants and Strategic Power Systems' ORAPWind%C2%AE (Operational Reliability Analysis Program for Wind) data, which consist of downtime and reserve event records and daily summaries of various time categories for each turbine. Together, these data are used as inputs into CREW's reliability modeling. The results presented here include: the primary CREW Benchmark statistics (operational availability, utilization, capacity factor, mean time between events, and mean downtime); time accounting from an availability perspective; time accounting in terms of the combination of wind speed and generation levels; power curve analysis; and top system and component contributors to unavailability.

  4. Using benchmarking to minimize common DOE waste streams. Volume 1, Methodology and liquid photographic waste

    SciTech Connect (OSTI)

    Levin, V.

    1994-04-01T23:59:59.000Z

    Finding innovative ways to reduce waste streams generated at Department of Energy (DOE) sites by 50% by the year 2000 is a challenge for DOE`s waste minimization efforts. This report examines the usefulness of benchmarking as a waste minimization tool, specifically regarding common waste streams at DOE sites. A team of process experts from a variety of sites, a project leader, and benchmarking consultants completed the project with management support provided by the Waste Minimization Division EM-352. Using a 12-step benchmarking process, the team examined current waste minimization processes for liquid photographic waste used at their sites and used telephone and written questionnaires to find ``best-in-class`` industrv partners willing to share information about their best waste minimization techniques and technologies through a site visit. Eastman Kodak Co., and Johnson Space Center/National Aeronautics and Space Administration (NASA) agreed to be partners. The site visits yielded strategies for source reduction, recycle/recovery of components, regeneration/reuse of solutions, and treatment of residuals, as well as best management practices. An additional benefit of the work was the opportunity for DOE process experts to network and exchange ideas with their peers at similar sites.

  5. Documents and Publications | Department of Energy

    Office of Environmental Management (EM)

    on Risk Management (Final Report) (pdf) Measuring Performance and Benchmarking Project Management at the Department of Energy (pdf) Example Critical Decision Approval...

  6. Review of Existing Energy Retrofit Tools

    E-Print Network [OSTI]

    Lee, Sang Hoon

    2014-01-01T23:59:59.000Z

    Evaluator (beta version) COMBAT LBNL / China Energy Groupenergy benchmarking and retrofit recommendations 2.1.8 Evaluator for NYSERDA The Evaluator (currently in beta

  7. HOSPITAL COVER INTERMEDIATE

    E-Print Network [OSTI]

    a lower premium. Plus, our unique Excess Bonus feature applies to Level 2. You can choose an excess option of: Level 1 No excess Level 2 $250 - plus our Excess Bonus feature applies Level 3 $500 Excess options Excess Bonus feature ­ available on Corporate Hospital Intermediate Level 2. It means you won

  8. Financing Internal Benchmarking Outreach and Data Collection...

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

    5 to 15 green jobs per 1 million invested. U.S. Department of Energy, Buildings Energy Data Book, Chapter 3 March 2011. http:buildingsdatabook.eren.doe.govChapterIntro3.aspx...

  9. Benchmarking and Equipment and Controls Assessment for a 'Big Box' Retail Chain

    SciTech Connect (OSTI)

    Haves, Philip; Coffey, Brian; Williams, Scott

    2008-06-11T23:59:59.000Z

    The paper describes work to enable improved energy performance of existing and new retail stores belonging to a national chain and thereby also identify measures and tools that would improve the performance of 'big box' stores generally. A detailed energy simulation model of a standard store design was developed and used to: (1) demonstrate the benefits of benchmarking the energy performance of retail stores of relatively standard design using baselines derived from simulation, (2) identify cost-effective improvements in the efficiency of components to be incorporated in the next design cycle, and (3) use simulation to identify potential control strategy improvements that could be adopted in all stores, improving operational efficiency. The core enabling task of the project was to develop an energy model of the current standard design using the EnergyPlus simulation program. For the purpose of verification of the model against actual utility bills, the model was reconfigured to represent twelve existing stores (seven relatively new stores and five older stores) in different US climates and simulations were performed using weather data obtained from the National Weather Service. The results of this exercise, which showed generally good agreement between predicted and measured total energy use, suggest that dynamic benchmarking based on energy simulation would be an effective tool for identifying operational problems that affect whole building energy use. The models of the seven newer stores were then configured with manufacturers performance data for the equipment specified in the current design and used to assess the energy and cost benefits of increasing the efficiency of selected HVAC, lighting and envelope components. The greatest potential for cost-effective energy savings appears to be a substantial increase in the efficiency of the blowers in the roof top units and improvements in the efficiency of the lighting. The energy benefits of economizers on the roof-top units were analyzed and found to be very sensitive to the operation of the exhaust fans used to control building pressurization.

  10. Polish-American Children`s Hospital in Krakow, Poland. Project status report

    SciTech Connect (OSTI)

    Secrest, T.J.; Szydlowski, R.F. [Pacific Northwest Lab., Richland, WA (United States); Wade, D. [RDA Engineering, Inc., Marietta, GA (United States)

    1993-03-01T23:59:59.000Z

    In late 1990 staff from the US Department of Energy`s Office of Technical and Financial Assistance identified the Polish-American Children`s Hospital as a potential site for application of DOE expertise to reduce the Hospital`s energy requirements. Visits to the hospital in the fall and winter of 1991--1992 provided initial scoping of the energy related activities that would be supported by DOE. In addition to reducing energy requirements, the Hospital staff expressed a need for assistance in the areas of power quality and medical waste incineration. Subsequently, a power quality study supported by the Electric Power and Research Institute has been initiated and medical waste incineration will be provided by a Polish organization. The resulting scope of work for this effort is to survey the Hospital`s thermal energy supply and demand systems to identify no-cost and low-cost measures that will reduce the Hospital`s energy requirements. Applicable measures would then be demonstrated in the Hospital through a partnership with US and Polish organizations and a sister hospital in the United States.

  11. Application of Thermal Storage, Peak Shaving and Cogeneration for Hospitals

    E-Print Network [OSTI]

    McClure, J. D.; Estes, J. M.; Estes, M. C.

    1987-01-01T23:59:59.000Z

    Energy costs of hospitals can be managed by employing various strategies to control peak electrical demand (KW) while at the same time providing additional security of operation in the event that an equipment failure or a disruption of power from...

  12. auxiliares del hospital: Topics by E-print Network

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

    Geosciences Websites Summary: of University Hospital, University Hospital East, James Cancer Hospital and Solove Research Institute, Ross Heart Hospital, OSU Harding Hospital,...

  13. Operating cost guidelines for benchmarking DOE thermal treatment systems for low-level mixed waste

    SciTech Connect (OSTI)

    Salmon, R.; Loghry, S.L.; Hermes, W.H.

    1994-11-01T23:59:59.000Z

    This report presents guidelines for estimating operating costs for use in benchmarking US Department of Energy (DOE) low-level mixed waste thermal treatment systems. The guidelines are based on operating cost experience at the DOE Toxic Substances Control Act (TSCA) mixed waste incinerator at the K-25 Site at Oak Ridge. In presenting these guidelines, it should be made clear at the outset that it is not the intention of this report to present operating cost estimates for new technologies, but only guidelines for estimating such costs.

  14. MCNP photon transport benchmarking calculations performed at SRP. Revision 1

    SciTech Connect (OSTI)

    White, A.M.

    1989-12-31T23:59:59.000Z

    Monte Carlo methods have long been used at the Savannah River Laboratory (SRL) to perform criticality calculations for many different processes. To perform transport analyses (both neutron and photon) a two-dimensional infinite lattice integral transport code (GLASS) has been used. The neutron transport portion of the code has been benchmarked against other codes and experimental data. The photon transport portion of the code, which is used to calculate gamma redistribution in the event of a loss of moderator and/or coolant, had not been benchmarked against either. For this reason, the Monte Carlo code MCNP was used to benchmark the photon transport portion of the GLASS code. Preceding this, a brief description of the geometry of the Savannah River Plant`s (SRP) reactor cores and how they were modeled using MCNP will be given.

  15. Elforbrug i skoler -benchmark og webvrktj

    E-Print Network [OSTI]

    Statens Byggeforskningsinstitut (SBi) i samar- bejde med NRGi (Energi Danmark) i Århus samt Elselskaberne i Danmark. Rapporten rummer dels af en statistisk analyse af el-, varme- og vandfor- bruget i), Energikonsulent Nanna Ravnsborg, NRGi, (Energi Danmark) i Århus, Energikonsulent Ole Søgaard, Skoleforvaltningen i

  16. SMART SCHOOLS SYMPOSIUM 2013 BENCHMARKING FOR

    E-Print Network [OSTI]

    California at Davis, University of

    SYMPOSIUM 2013 7 Essential Metrics for Schools Create healthy and productive learning environments Indoor Case Study: San Bernardino City USD #12;SMART SCHOOLS SYMPOSIUM 2013 Energy Thermal AcousticsVisual IAQ Acoustics 70 Visual Comfort 61 Indoor Air Quality 77 Energy Thermal AcousticsVisual IAQ HP Grade #12;SMART

  17. SEE Action Series: Energy Performance Benchmarking and Disclosure...

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

    Transportation & Clean Air Environmental Justice Outreach and School Education Urban Forestry Green Building Mission: * Improve, enhance, and preserve the environment * Promote...

  18. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul; Rumsey Engineers

    2008-01-01T23:59:59.000Z

    gsf, ton/m 2 ), boiler efficiency (%), pumping efficiency (to evaluate the efficiency of chiller and boiler systems in

  19. Benchmarking: More Aspects of High Performance Computing

    SciTech Connect (OSTI)

    Rahul Ravindrudu

    2004-12-19T23:59:59.000Z

    The original HPL algorithm makes the assumption that all data can be fit entirely in the main memory. This assumption will obviously give a good performance due to the absence of disk I/O. However, not all applications can fit their entire data in memory. These applications which require a fair amount of I/O to move data to and from main memory and secondary storage, are more indicative of usage of an Massively Parallel Processor (MPP) System. Given this scenario a well designed I/O architecture will play a significant part in the performance of the MPP System on regular jobs. And, this is not represented in the current Benchmark. The modified HPL algorithm is hoped to be a step in filling this void. The most important factor in the performance of out-of-core algorithms is the actual I/O operations performed and their efficiency in transferring data to/from main memory and disk, Various methods were introduced in the report for performing I/O operations. The I/O method to use depends on the design of the out-of-core algorithm. Conversely, the performance of the out-of-core algorithm is affected by the choice of I/O operations. This implies, good performance is achieved when I/O efficiency is closely tied with the out-of-core algorithms. The out-of-core algorithms must be designed from the start. It is easily observed in the timings for various plots, that I/O plays a significant part in the overall execution time. This leads to an important conclusion, retro-fitting an existing code may not be the best choice. The right-looking algorithm selected for the LU factorization is a recursive algorithm and performs well when the entire dataset is in memory. At each stage of the loop the entire trailing submatrix is read into memory panel by panel. This gives a polynomial number of I/O reads and writes. If the left-looking algorithm was selected for the main loop, the number of I/O operations involved will be linear on the number of columns. This is due to the data access pattern for the left-looking factorization. The right-looking algorithm performs better for in-core data, but the left-looking will perform better for out-of-core data due to the reduced I/O operations. Hence the conclusion that out-of-core algorithms will perform better when designed from start. The out-of-core and thread based computation do not interact in this case, since I/O is not done by the threads. The performance of the thread based computation does not depend on I/O as the algorithms are in the BLAS algorithms which assumes all the data to be in memory. This is the reason the out-of-core results and OpenMP threads results were presented separately and no attempt to combine them was made. In general, the modified HPL performs better with larger block sizes, due to less I/O involved for out-of-core part and better cache utilization for the thread based computation.

  20. Shear Strength Measurement Benchmarking Tests for K Basin Sludge Simulants

    SciTech Connect (OSTI)

    Burns, Carolyn A.; Daniel, Richard C.; Enderlin, Carl W.; Luna, Maria; Schmidt, Andrew J.

    2009-06-10T23:59:59.000Z

    Equipment development and demonstration testing for sludge retrieval is being conducted by the K Basin Sludge Treatment Project (STP) at the MASF (Maintenance and Storage Facility) using sludge simulants. In testing performed at the Pacific Northwest National Laboratory (under contract with the CH2M Hill Plateau Remediation Company), the performance of the Geovane instrument was successfully benchmarked against the M5 Haake rheometer using a series of simulants with shear strengths (?) ranging from about 700 to 22,000 Pa (shaft corrected). Operating steps for obtaining consistent shear strength measurements with the Geovane instrument during the benchmark testing were refined and documented.

  1. Benchmarking of Neutron Production of Heavy-Ion Transport Codes

    SciTech Connect (OSTI)

    Remec, Igor [ORNL; Ronningen, Reginald M. [Michigan State University, East Lansing; Heilbronn, Lawrence [University of Tennessee, Knoxville (UTK)

    2012-01-01T23:59:59.000Z

    Accurate prediction of radiation fields generated by heavy ion interactions is important in medical applications, space missions, and in design and operation of rare isotope research facilities. In recent years, several well-established computer codes in widespread use for particle and radiation transport calculations have been equipped with the capability to simulate heavy ion transport and interactions. To assess and validate these capabilities, we performed simulations of a series of benchmark-quality heavy ion experiments with the computer codes FLUKA, MARS15, MCNPX, and PHITS. We focus on the comparisons of secondary neutron production. Results are encouraging; however, further improvements in models and codes and additional benchmarking are required.

  2. Federal Building Benchmarking Guidance - August 2014 Update

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy Chinaof EnergyImpactOnSTATEMENT OF DAVIDThe data dashboardA A NA NA R NA Federal

  3. Advanced Technology Vehicle Lab Benchmarking - Level 1

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

    850 Wm 2 of sun emulation The more efficient the vehicle the higher the impact of climate control on energy consumption and range 20 o F cold start has the largest cold...

  4. Benchmarking State-of-the-Art Technologies

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: The FutureCommentsEnergy Christopher Smith,Commerce

  5. Stiffness-Mass Ratios Method for a baseline determination and damage assessment of a benchmark structure

    E-Print Network [OSTI]

    Rocha, Ramses Rodriguez

    2002-01-01T23:59:59.000Z

    A new method based on ratios between stiffness and mass values from the eigenvalue problem is introduced and applied to the benchmark structure to obtain baseline modal parameters utilizing damaged state information of the structure. The benchmark...

  6. Mesoscale Benchmark Demonstration Problem 1: Mesoscale Simulations of Intra-granular Fission Gas Bubbles in UO2 under Post-irradiation Thermal Annealing

    SciTech Connect (OSTI)

    Li, Yulan; Hu, Shenyang Y.; Montgomery, Robert; Gao, Fei; Sun, Xin; Tonks, Michael; Biner, Bullent; Millet, Paul; Tikare, Veena; Radhakrishnan, Balasubramaniam; Andersson , David

    2012-04-11T23:59:59.000Z

    A study was conducted to evaluate the capabilities of different numerical methods used to represent microstructure behavior at the mesoscale for irradiated material using an idealized benchmark problem. The purpose of the mesoscale benchmark problem was to provide a common basis to assess several mesoscale methods with the objective of identifying the strengths and areas of improvement in the predictive modeling of microstructure evolution. In this work, mesoscale models (phase-field, Potts, and kinetic Monte Carlo) developed by PNNL, INL, SNL, and ORNL were used to calculate the evolution kinetics of intra-granular fission gas bubbles in UO2 fuel under post-irradiation thermal annealing conditions. The benchmark problem was constructed to include important microstructural evolution mechanisms on the kinetics of intra-granular fission gas bubble behavior such as the atomic diffusion of Xe atoms, U vacancies, and O vacancies, the effect of vacancy capture and emission from defects, and the elastic interaction of non-equilibrium gas bubbles. An idealized set of assumptions was imposed on the benchmark problem to simplify the mechanisms considered. The capability and numerical efficiency of different models are compared against selected experimental and simulation results. These comparisons find that the phase-field methods, by the nature of the free energy formulation, are able to represent a larger subset of the mechanisms influencing the intra-granular bubble growth and coarsening mechanisms in the idealized benchmark problem as compared to the Potts and kinetic Monte Carlo methods. It is recognized that the mesoscale benchmark problem as formulated does not specifically highlight the strengths of the discrete particle modeling used in the Potts and kinetic Monte Carlo methods. Future efforts are recommended to construct increasingly more complex mesoscale benchmark problems to further verify and validate the predictive capabilities of the mesoscale modeling methods used in this study.

  7. Benchmarking Non-Hardware Balance of System (Soft) Costs for

    E-Print Network [OSTI]

    Benchmarking Non-Hardware Balance of System (Soft) Costs for U.S. Photovoltaic Systems Using a Data (Soft) Costs for U.S. Photovoltaic Systems Using a Data-Driven Analysis from PV Installer Survey Results process" or "soft" costs--for residential and commercial photovoltaic (PV) systems. Annual expenditure

  8. Benchmarking Methodology for Embedded Scalable Platforms Paolo Mantovani

    E-Print Network [OSTI]

    a diversity of embedded application workloads. A companion methodology combines full-system simulation, pre1 Benchmarking Methodology for Embedded Scalable Platforms Paolo Mantovani , Emilio G. Cota performance [2], [4]. Accelerators can offer 2 to 3 orders-of-magnitude higher efficiency than soft- ware

  9. Benchmark ExperimentalDatabase for Multiphase Combustion Model

    E-Print Network [OSTI]

    Magee, Joseph W.

    Benchmark ExperimentalDatabase for Multiphase Combustion Model Input and Validation: Baseline Doppler Interferometer 2.3. FourierTransformInfrared Spectrometer Spray CombustionReactor -Baseline Case 3 for the combustion airflowrate (56.7m3h-'). Table 5. The locations and mean values of the wall temperatures. Table 6

  10. POTENTIAL BENCHMARKS FOR ACTINIDE PRODUCTION IN HANFORD REACTORS

    SciTech Connect (OSTI)

    PUIGH RJ; TOFFER H

    2011-10-19T23:59:59.000Z

    A significant experimental program was conducted in the early Hanford reactors to understand the reactor production of actinides. These experiments were conducted with sufficient rigor, in some cases, to provide useful information that can be utilized today in development of benchmark experiments that may be used for the validation of present computer codes for the production of these actinides in low enriched uranium fuel.

  11. Benchmarking Variable Cost Performance in an Industrial Power Plant

    E-Print Network [OSTI]

    Kane, J. F.; Bailey, W. F.

    " of utilities exported from the power plant to the actual cost of the fuel and electricity required to produce them, generating a single number or "index." Variable cost performance is benchmarked by comparing the index from one period of time to the index...

  12. System Dependability --Characterization and Benchmarking Yves Crouzet1,2

    E-Print Network [OSTI]

    Boyer, Edmond

    in improving system performance, as it is not conceivable nowadays to provide a system without indications to benchmark alternative architectural solutions of instrumentation and control systems of nuclear power plants;3 1. Introduction System performance is no longer the only factor that keeps customers satisfied

  13. A Server for Automated Performance Analysis of Benchmarking Data

    E-Print Network [OSTI]

    Mittelmann, Hans D.

    A Server for Automated Performance Analysis of Benchmarking Data Hans D. Mittelmann Armin Pruessner June 24, 2004 Abstract As part of Performance World, we describe an automation server (PAVER: http as the design of the server. We give examples of performance data analysis using an instance of the COPS test

  14. Designing Human Benchmark Experiments for Testing Software Agents

    E-Print Network [OSTI]

    Perry, Dewayne E.

    Designing Human Benchmark Experiments for Testing Software Agents Robert D. Grant, David De quizzes and tests and qualitative data through observation. Results: Though we collect quantitative data" curricula in controlled experi- ments. We aimed to produce lessons and tests on which human students who

  15. Benchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control

    E-Print Network [OSTI]

    Powell, Warren B.

    for the optimal control of such power systems are critical for the deployment of reliable and more economical and within 1.34% in stochastic ones, much lower than those obtained using model predictive control. We useBenchmarking a Scalable Approximate Dynamic Programming Algorithm for Stochastic Control

  16. Model Predictive Control For Wind Excited Buildings: A Benchmark Problem

    E-Print Network [OSTI]

    Kareem, Ahsan

    control force; W is the wind excitation vector of dimension 24; and are control output vec- tor , , , , , , , and were given by Yang et al (1999) and have appropriate dimensions. The wind force data acting1 Model Predictive Control For Wind Excited Buildings: A Benchmark Problem Gang Mei, Student M

  17. Under Pressure Benchmark for DDBMS Availability Alessandro Gustavo Fior

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Under Pressure Benchmark for DDBMS Availability Alessandro Gustavo Fior 1 , Jorge Augusto Meira 1@uenp.edu.br Abstract. The availability of Distributed Database Management Systems (DDBMS) is related to the probability mechanism to ensure availability is replication, which includes performance impact on maintaining data

  18. RELAP5 Water Hammer Benchmarking via a Theta-Implicit

    E-Print Network [OSTI]

    Tennessee, University of

    RELAP5 Water Hammer Benchmarking via a Theta-Implicit Finite Element Algorithm Stuart Walker UT CFD Lab Colloquium May 18, 2010 #12;NE 697: Analysis of RELAP5 RELAP5 · Analyze slow thermal hydraulic for many accident based transients Course Topics · RELAP5 heat transfer in a single HFIR channel with HEU

  19. Validation of Purdue Engineering Shape Benchmark Clusters by

    E-Print Network [OSTI]

    Martin, Ralph R.

    /Shapespace Ltd W.Regli Drexel University, USA Ananda.Jagadeesan@Strath.ac.uk #12;PLM 09 2 · Micro could be: What is Crowdsourcing? #12;PLM 09 3 Is there a dog in this photo? #12;PLM 09 4 What" within Perdue "Engineering Shape Benchmark" (ESB) to determine families of similar parts. #12;PLM 09 5

  20. Air Ingress Benchmarking with Computational Fluid Dynamics Analysis

    E-Print Network [OSTI]

    1 Air Ingress Benchmarking with Computational Fluid Dynamics Analysis Tieliang Zhai Professor by the US Nuclear Regulatory Commission #12;2 Air Ingress Accident Objectives and Overall Strategy: Depresurization Pure Diffusion Natural Convection Challenging: Natural convection Multi-component Diffusion (air

  1. Air Ingress Benchmarking with Computational Fluid Dynamics Analysis

    E-Print Network [OSTI]

    Air Ingress Benchmarking with Computational Fluid Dynamics Analysis Andrew C. Kadak Department District Beijing, China September 22-24, 2004 Abstract Air ingress accident is a complicated accident scenario is compounded by multiple physical phenomena that are involved in the air ingress event

  2. MITIP 2007, 6-7 September, Florence BENCHMARKING ISSUES FOR

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    community between holonic control, production man- agement and virtual enterprises [1] that the combination control modes, such as market-based and hierarchical control [3], or planning-based and reactive controlMITIP 2007, 6-7 September, Florence BENCHMARKING ISSUES FOR PRODUCT-DRIVEN DECISION-MAKING Rémi

  3. Life Cycle Assessment Practices: Benchmarking Selected European Automobile Manufacturers

    E-Print Network [OSTI]

    Boyer, Edmond

    Life Cycle Assessment Practices: Benchmarking Selected European Automobile Manufacturers Jean in the automobile industry where vehicle manufacturers (OEMs) are launching several new or re- vamped models each year. The automobile industry is therefore a very emblematic sector for best practices of LCA

  4. Manufacturers' View on Benchmarking and Disclosure

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15Liquid Fuels andAssociation of Electrical

  5. VERA Core Physics Benchmark Progression Problems Specifications

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron SpinPrincetonUsing Maps to Predict4 VARIATIONS IN THEVERA Core Physics

  6. Text-Alternative Version of TAP Webinar: Measuring the Impact of Benchmarking & Transparency

    Broader source: Energy.gov [DOE]

    Transcript of the June TAP webinar, Measuring the Impact of Benchmarking & Transparency - Methodologies and the NYC Example.

  7. Benchmarking Derivative-Free Optimization Algorithms

    E-Print Network [OSTI]

    2008-05-13T23:59:59.000Z

    Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357 and ..... to some minimizer depends on the growth of f in a neighborhood of ..... One other connection between performance profiles and data profiles needs to be em

  8. Action-Oriented Benchmarking: Using the CEUS Database to Benchmark Commercial Buildings in California

    E-Print Network [OSTI]

    Mathew, Paul

    2008-01-01T23:59:59.000Z

    and two lighting features: lamp power density and lightingbetween lighting energy intensity and lamp power density forlighting energy intensity is positively correlated with lamp power density.

  9. Benchmark for evaluation and validation of reactor simulations (BEAVRS)

    SciTech Connect (OSTI)

    Horelik, N.; Herman, B.; Forget, B.; Smith, K. [Massachusetts Institute of Technology, Department of Nuclear Science and Engineering, 77 Massachusetts Avenue, Cambridge, MA 02139 (United States)

    2013-07-01T23:59:59.000Z

    Advances in parallel computing have made possible the development of high-fidelity tools for the design and analysis of nuclear reactor cores, and such tools require extensive verification and validation. This paper introduces BEAVRS, a new multi-cycle full-core Pressurized Water Reactor (PWR) depletion benchmark based on two operational cycles of a commercial nuclear power plant that provides a detailed description of fuel assemblies, burnable absorbers, in-core fission detectors, core loading patterns, and numerous in-vessel components. This benchmark enables analysts to develop extremely detailed reactor core models that can be used for testing and validation of coupled neutron transport, thermal-hydraulics, and fuel isotopic depletion. The benchmark also provides measured reactor data for Hot Zero Power (HZP) physics tests, boron letdown curves, and three-dimensional in-core flux maps from fifty-eight instrumented assemblies. Initial comparisons between calculations performed with MIT's OpenMC Monte Carlo neutron transport code and measured cycle 1 HZP test data are presented, and these results display an average deviation of approximately 100 pcm for the various critical configurations and control rod worth measurements. Computed HZP radial fission detector flux maps also agree reasonably well with the available measured data. All results indicate that this benchmark will be extremely useful in validation of coupled-physics codes and uncertainty quantification of in-core physics computational predictions. The detailed BEAVRS specification and its associated data package is hosted online at the MIT Computational Reactor Physics Group web site (http://crpg.mit.edu/), where future revisions and refinements to the benchmark specification will be made publicly available. (authors)

  10. Energy Blog | Department of Energy

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

    March 16, 2011 Disneyland's Dry Cleaning Gets an Energy Efficient Upgrade As the provider of laundry and dry cleaning services for Disneyland Resort's costumes and hospitality...

  11. An Architectural Assessment of SPEC CPU Benchmark Relevance Benjamin C. Lee

    E-Print Network [OSTI]

    Lee, Benjamin C.

    An Architectural Assessment of SPEC CPU Benchmark Relevance Benjamin C. Lee Computer Science 261@deas.harvard.edu Abstract SPEC compute intensive benchmarks are often used to evaluate processors in high-performance systems. However, such evaluations are valid only if these benchmarks are rep- resentative of more

  12. Benchmarking DAML+OIL Repositories Yuanbo Guo, Jeff Heflin, and Zhengxiang Pan

    E-Print Network [OSTI]

    Heflin, Jeff

    Benchmarking DAML+OIL Repositories Yuanbo Guo, Jeff Heflin, and Zhengxiang Pan Department, heflin, zhp2}@cse.lehigh.edu Abstract. We present a benchmark that facilitates the evaluation of DAML+OIL repositories in a standard and systematic way. This benchmark is intended to evaluate the performance of DAML+OIL

  13. Radiation Protection Guidance Hospital Staff

    E-Print Network [OSTI]

    Kay, Mark A.

    Page 1 Radiation Protection Guidance For Hospital Staff Prepared for Stanford ..................................................................................................................... 17 The Basic Principles of Radiation Protection........................................................... 17 Protection against Radiation Exposure

  14. Quantum critical benchmark for density functional theory

    E-Print Network [OSTI]

    Paul E. Grabowski; Kieron Burke

    2014-08-09T23:59:59.000Z

    Two electrons at the threshold of ionization represent a severe test case for electronic structure theory. A pseudospectral method yields a very accurate density of the two-electron ion with nuclear charge close to the critical value. Highly accurate energy components and potentials of Kohn-Sham density functional theory are given, as well as a useful parametrization of the critical density. The challenges for density functional approximations and the strength of correlation are also discussed.

  15. Measuring Performance and Benchmarking Project Management

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil & GasTechnical Publications »ofHydrogenEnergy

  16. Commercial and Multifamily Building Benchmarking and Disclosure |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof"Wave the WhiteNational BroadbandofCommercial1Program MarketDepartment

  17. RECENT ADDITIONS OF CRITICALITY SAFETY RELATED INTEGRAL BENCHMARK DATA TO THE ICSBEP AND IRPHEP HANDBOOKS

    SciTech Connect (OSTI)

    J. Blair Briggs; Lori Scott; Yolanda Rugama; Enrico Sartori

    2009-09-01T23:59:59.000Z

    High-quality integral benchmark experiments have always been a priority for criticality safety. However, interest in integral benchmark data is increasing as efforts to quantify and reduce calculational uncertainties accelerate to meet the demands of future criticality safety needs to support next generation reactor and advanced fuel cycle concepts. The importance of drawing upon existing benchmark data is becoming more apparent because of dwindling availability of critical facilities worldwide and the high cost of performing new experiments. Integral benchmark data from the International Handbook of Evaluated Criticality Safety Benchmark Experiments and the International Handbook of Reactor Physics Benchmark Experiments are widely used. Benchmark data have been added to these two handbooks since the last Nuclear Criticality Safety Division Topical Meeting in Knoxville, Tennessee (September 2005). This paper highlights these additions.

  18. Benchmarking the Remote-Handled Waste Facility at the West Valley Demonstration Project

    SciTech Connect (OSTI)

    O. P. Mendiratta; D. K. Ploetz

    2000-02-29T23:59:59.000Z

    ABSTRACT Facility decontamination activities at the West Valley Demonstration Project (WVDP), the site of a former commercial nuclear spent fuel reprocessing facility near Buffalo, New York, have resulted in the removal of radioactive waste. Due to high dose and/or high contamination levels of this waste, it needs to be handled remotely for processing and repackaging into transport/disposal-ready containers. An initial conceptual design for a Remote-Handled Waste Facility (RHWF), completed in June 1998, was estimated to cost $55 million and take 11 years to process the waste. Benchmarking the RHWF with other facilities around the world, completed in November 1998, identified unique facility design features and innovative waste pro-cessing methods. Incorporation of the benchmarking effort has led to a smaller yet fully functional, $31 million facility. To distinguish it from the June 1998 version, the revised design is called the Rescoped Remote-Handled Waste Facility (RRHWF) in this topical report. The conceptual design for the RRHWF was completed in June 1999. A design-build contract was approved by the Department of Energy in September 1999.

  19. Nuclide Composition Benchmark Data Set for Verifying Burnup Codes on Spent Light Water Reactor Fuels

    SciTech Connect (OSTI)

    Nakahara, Yoshinori; Suyama, Kenya; Inagawa, Jun; Nagaishi, Ryuji; Kurosawa, Setsumi; Kohno, Nobuaki; Onuki, Mamoru; Mochizuki, Hiroki [Japan Atomic Energy Research Institute (Japan)

    2002-02-15T23:59:59.000Z

    To establish a nuclide composition benchmark data set for the verification of burnup codes, destructive analyses of light water reactor spent-fuel samples, which were cut out from several heights of spent-fuel rods, were carried out at the analytical laboratory at the Japan Atomic Energy Research Institute. The 16 samples from three kinds of pressurized water reactor (PWR) fuel rods and the 18 samples from two boiling water reactor (BWR) fuel rods were examined. Their initial {sup 235}U enrichments and burnups were from 2.6 to 4.1% and from 4 to 50 GWd/t, respectively. One PWR fuel rod and one BWR fuel rod contained gadolinia as a burnable poison. The measurements for more than 40 nuclides of uranium, transuranium, and fission product elements were performed by destructive analysis using mass spectrometry, and alpha-ray and gamma-ray spectrometry. Burnup for each sample was determined by the {sup 148}Nd method. The analytical methods and the results as well as the related irradiation condition data are compiled as a complete benchmark data set.

  20. Methods and Results for the MSLB NEA Benchmark Using SIMTRAN and RELAP-5

    SciTech Connect (OSTI)

    Aragones, Jose M.; Ahnert, Carol; Cabellos, Oscar; Garcia-Herranz, Nuria; Aragones-Ahnert, Vanessa [Universidad Politecnica de Madrid (Spain)

    2004-04-15T23:59:59.000Z

    The purpose of this paper is first to discuss the methods developed in our three-dimensional pressurized water reactor core dynamics code SIMTRAN and its coupling to the system code RELAP-5 for general transient and safety analysis. Then, we summarize its demonstration application to the Nuclear Energy Agency (NEA)/Organization for Economic Cooperation and Development (OECD) Benchmark on Main Steam Line Break (MSLB), co-sponsored by the U.S. Nuclear Regulatory Commission (NRC) and other regulatory institutions. In particular, our work has been supported by the Spanish 'Consejo de Seguridad Nuclear' (CSN) under a CSN research project.Our results for the steady states and the guided-core transients, proposed as exercise 2 of the MSLB benchmark, show small deviations from the mean results of all participants, especially in core average parameters. For the full-coupled core-plant transients, exercise 3, a detailed comparison with the University of Purdue-NRC results using PARCS/RELAP-5, shows quite good agreement in both integral and local parameters, especially for the more extreme return-to-power scenario.

  1. Using benchmarking to minimize common DOE waste streams: Volume 5. Office paper waste

    SciTech Connect (OSTI)

    Levin, V.

    1995-10-01T23:59:59.000Z

    Finding innovative ways to reduce waste streams generated at US Department of Energy (DOE) sites by 50% by the year 2000 is a challenge for DOE`s waste minimization efforts. A team composed of members from several DOE facilities used the quality tool known as benchmarking to improve waste minimization efforts. First the team examined office waste generation and handling processes at their sites. Then team members developed telephone and written questionnaires to help identify potential ``best-in-class`` industry partners willing to share information about their best waste minimization techniques and technologies. The team identified two benchmarking partners, NIKE, Inc., in Beaverton, Oregon, and Microsoft, Inc., in Redmond, Washington. Both companies have proactive, employee-driven environmental issues programs. Both companies report strong employee involvement, management commitment, and readily available markets for recyclable materials such as white paper and nonwhite assorted paper. The availability of markets, the initiative and cooperation of employees, and management support are the main enablers for their programs. At both companies, recycling and waste reduction programs often cut across traditional corporate divisions such as procurement, janitorial services, environmental compliance, grounds maintenance, cafeteria operations, surplus sales, and shipping and receiving. These companies exhibited good cooperation between these functions to design and implement recycling and waste reduction programs.

  2. New Reactor Physics Benchmark Data in the March 2012 Edition of the IRPhEP Handbook

    SciTech Connect (OSTI)

    John D. Bess; J. Blair Briggs; Jim Gulliford

    2012-11-01T23:59:59.000Z

    The International Reactor Physics Experiment Evaluation Project (IRPhEP) was established to preserve integral reactor physics experimental data, including separate or special effects data for nuclear energy and technology applications. Numerous experiments that have been performed worldwide, represent a large investment of infrastructure, expertise, and cost, and are valuable resources of data for present and future research. These valuable assets provide the basis for recording, development, and validation of methods. If the experimental data are lost, the high cost to repeat many of these measurements may be prohibitive. The purpose of the IRPhEP is to provide an extensively peer-reviewed set of reactor physics-related integral data that can be used by reactor designers and safety analysts to validate the analytical tools used to design next-generation reactors and establish the safety basis for operation of these reactors. Contributors from around the world collaborate in the evaluation and review of selected benchmark experiments for inclusion in the International Handbook of Evaluated Reactor Physics Benchmark Experiments (IRPhEP Handbook) [1]. Several new evaluations have been prepared for inclusion in the March 2012 edition of the IRPhEP Handbook.

  3. Benchmarking of finite element codes for radioactive material transportation packages

    SciTech Connect (OSTI)

    Ammerman, D.J.

    1996-10-01T23:59:59.000Z

    The increased power of computers and computer codes makes the use of nonlinear dynamic finite element analyses attractive for use as a tool used in the design and certification of radioactive material transportation packages. For this analysis technique to be acceptable it must be demonstrated. The technique has the ability to accurately capture the response of the packages to accident environments required by the regulations. The best method of demonstrating this ability is via a series of benchmark analyses. In this paper three benchmark problems involving significant inelastic deformations will be discussed. One of the problems has been analyzed using many different finite element codes. The other two problems involve comparison of finite element calculations to the results form physical tests. The ability of the finite element method to accurately capture the response in these three problems indicates the method should be acceptable for radioactive material transportation package design and certification.

  4. PEBBLES Simulation of Static Friction and New Static Friction Benchmark

    SciTech Connect (OSTI)

    Joshua J. Cogliati; Abderrafi M. Ougouag

    2010-05-01T23:59:59.000Z

    Pebble bed reactors contain large numbers of spherical fuel elements arranged randomly. Determining the motion and location of these fuel elements is required for calculating certain parameters of pebble bed reactor operation. This paper documents the PEBBLES static friction model. This model uses a three dimensional differential static friction approximation extended from the two dimensional Cundall and Strack model. The derivation of determining the rotational transformation of pebble to pebble static friction force is provided. A new implementation for a differential rotation method for pebble to container static friction force has been created. Previous published methods are insufficient for pebble bed reactor geometries. A new analytical static friction benchmark is documented that can be used to verify key static friction simulation parameters. This benchmark is based on determining the exact pebble to pebble and pebble to container static friction coefficients required to maintain a stable five sphere pyramid.

  5. Providing Nuclear Criticality Safety Analysis Education through Benchmark Experiment Evaluation

    SciTech Connect (OSTI)

    John D. Bess; J. Blair Briggs; David W. Nigg

    2009-11-01T23:59:59.000Z

    One of the challenges that today's new workforce of nuclear criticality safety engineers face is the opportunity to provide assessment of nuclear systems and establish safety guidelines without having received significant experience or hands-on training prior to graduation. Participation in the International Criticality Safety Benchmark Evaluation Project (ICSBEP) and/or the International Reactor Physics Experiment Evaluation Project (IRPhEP) provides students and young professionals the opportunity to gain experience and enhance critical engineering skills.

  6. Model-Based Engineering and Manufacturing CAD/CAM Benchmark.

    SciTech Connect (OSTI)

    Domm, T.C.; Underwood, R.S.

    1999-10-13T23:59:59.000Z

    The Benchmark Project was created from a desire to identify best practices and improve the overall efficiency and performance of the Y-12 Plant's systems and personnel supporting the manufacturing mission. The mission of the benchmark team was to search out industry leaders in manufacturing and evaluate their engineering practices and processes to determine direction and focus for Y-12 modernization efforts. The companies visited included several large established companies and a new, small, high-tech machining firm. As a result of this effort, changes are recommended that will enable Y-12 to become a more modern, responsive, cost-effective manufacturing facility capable of supporting the needs of the Nuclear Weapons Complex (NWC) into the 21st century. The benchmark team identified key areas of interest, both focused and general. The focus areas included Human Resources, Information Management, Manufacturing Software Tools, and Standards/Policies and Practices. Areas of general interest included Infrastructure, Computer Platforms and Networking, and Organizational Structure. The results of this benchmark showed that all companies are moving in the direction of model-based engineering and manufacturing. There was evidence that many companies are trying to grasp how to manage current and legacy data. In terms of engineering design software tools, the companies contacted were somewhere between 3-D solid modeling and surfaced wire-frame models. The manufacturing computer tools were varied, with most companies using more than one software product to generate machining data and none currently performing model-based manufacturing (MBM) from a common model. The majority of companies were closer to identifying or using a single computer-aided design (CAD) system than a single computer-aided manufacturing (CAM) system. The Internet was a technology that all companies were looking to either transport information more easily throughout the corporation or as a conduit for business, as the small firm was doing successfully.

  7. Benchmarking FENDL libraries through analysis of bulk shielding experiments on large SS316 assemblies for verification of ITER shielding characteristics

    SciTech Connect (OSTI)

    Youssef, M.Z.; Kumar, A.; Abdou, M.A. [Univ. of California, Los Angeles, CA (United States); Konno, Chikara; Maekawa, Fujio; Wada, Masayuki; Oyama, Yukio; Maekawa, Hiroshi; Ikeda, Yujiro [Japan Atomic Energy Research Inst., Ibaraki (Japan)

    1996-12-31T23:59:59.000Z

    FENDL-1 data base has been developed recently for use in ITER/EDA phase and other fusion-related design activities. It is now undergoing extensive testing and benchmarking using experimental data of differential and integral measured parameters obtained from fusion-oriented experiments. As part of co-operation between UCLA (U.S.) with JAERI (Japan) on executing the required neutronics R&D tasks for ITER shield design, two bulk shielding experiments on large SS316 assemblies were selected for benchmarking FENDL/MG-1 multigroup data base and FENDL/MC-1 continous energy data base. The analyses with the multigroup data (performed with S8, P5, DORT calculations with shielded and unshielded data) also included library derived from ENDF/B-VI data base for comparison purposes. The MCNP Monte Carlo code was used by JAERI with the FENDL/MC-1 data. The results of this benchmarking is reported in this paper along with the observed deficiencies and discrepancies. 20 refs., 27 figs., 1 tab.

  8. Jackson Park Hospital Green Building Medical Center

    SciTech Connect (OSTI)

    William Dorsey; Nelson Vasquez

    2010-03-31T23:59:59.000Z

    Jackson Park Hospital completed the construction of a new Medical Office Building on its campus this spring. The new building construction has adopted the City of Chicago's recent focus on protecting the environment, and conserving energy and resources, with the introduction of green building codes. Located in a poor, inner city neighborhood on the South side of Chicago, Jackson Park Hospital has chosen green building strategies to help make the area a better place to live and work. The new green building houses the hospital's Family Medicine Residency Program and Specialty Medical Offices. The residency program has been vital in attracting new, young physicians to this medically underserved area. The new outpatient center will also help to allure needed medical providers to the community. The facility also has areas designated to women's health and community education. The Community Education Conference Room will provide learning opportunities to area residents. Emphasis will be placed on conserving resources and protecting our environment, as well as providing information on healthcare access and preventive medicine. The new Medical Office Building was constructed with numerous energy saving features. The exterior cladding of the building is an innovative, locally-manufactured precast concrete panel system with integral insulation that achieves an R-value in excess of building code requirements. The roof is a 'green roof' covered by native plantings, lessening the impact solar heat gain on the building, and reducing air conditioning requirements. The windows are low-E, tinted, and insulated to reduce cooling requirements in summer and heating requirements in winter. The main entrance has an air lock to prevent unconditioned air from entering the building and impacting interior air temperatures. Since much of the traffic in and out of the office building comes from the adjacent Jackson Park Hospital, a pedestrian bridge connects the two buildings, further decreasing the amount of unconditioned air that enters the office building. The HVAC system has an Energy Efficiency Rating 29% greater than required. No CFC based refrigerants were used in the HVAC system, thus reducing the emission of compounds that contribute to ozone depletion and global warming. In addition, interior light fixtures employ the latest energy-efficient lamp and ballast technology. Interior lighting throughout the building is operated by sensors that will automatically turn off lights inside a room when the room is unoccupied. The electrical traction elevators use less energy than typical elevators, and they are made of 95% recycled material. Further, locally manufactured products were used throughout, minimizing the amount of energy required to construct this building. The primary objective was to construct a 30,000 square foot medical office building on the Jackson Park Hospital campus that would comply with newly adopted City of Chicago green building codes focusing on protecting the environment and conserving energy and resources. The energy saving systems demonstrate a state of the-art whole-building approach to energy efficient design and construction. The energy efficiency and green aspects of the building contribute to the community by emphasizing the environmental and economic benefits of conserving resources. The building highlights the integration of Chicago's new green building codes into a poor, inner city neighborhood project and it is designed to attract medical providers and physicians to a medically underserved area.

  9. Benchmark data for validating irradiated fuel compositions used in criticality calculations

    SciTech Connect (OSTI)

    Bierman, S.R.; Talbert, R.J.

    1994-10-01T23:59:59.000Z

    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.

  10. Managing R&D Risk in Renewable Energy

    E-Print Network [OSTI]

    Rausser, Gordon C.; Papineau, Maya

    2008-01-01T23:59:59.000Z

    2006a). From Biomass to Biofuels. National Renewable EnergyRenewable Energy Costs, Electricity ($/MJ) Coal Benchmark pulverized coal BiomassBiomass Technologies. Office of Energy Efficiency and Renewable

  11. High Performance Healthcare Buildings: A Roadmap to Improved Energy Efficiency

    SciTech Connect (OSTI)

    Singer, Brett C.; Tschudi, William F.

    2009-09-08T23:59:59.000Z

    This document presents a road map for improving the energy efficiency of hospitals and other healthcare facilities. The report compiles input from a broad array of experts in healthcare facility design and operations. The initial section lists challenges and barriers to efficiency improvements in healthcare. Opportunities are organized around the following ten themes: understanding and benchmarking energy use; best practices and training; codes and standards; improved utilization of existing HVAC designs and technology; innovation in HVAC design and technology; electrical system design; lighting; medical equipment and process loads; economic and organizational issues; and the design of next generation sustainable hospitals. Achieving energy efficiency will require a broad set of activities including research, development, deployment, demonstration, training, etc., organized around 48 specific objectives. Specific activities are prioritized in consideration of potential impact, likelihood of near- or mid-term feasibility and anticipated cost-effectiveness. This document is intended to be broad in consideration though not exhaustive. Opportunities and needs are identified and described with the goal of focusing efforts and resources.

  12. Integral Benchmark Data for Nuclear Data Testing Through the ICSBEP & IRPhEP

    SciTech Connect (OSTI)

    J. Blair Briggs; John D. Bess; Jim Gulliford; Ian Hill

    2013-10-01T23:59:59.000Z

    The status of the International Criticality Safety Benchmark Evaluation Project (ICSBEP) and International Reactor Physics Experiment Evaluation Project (IRPhEP) was last discussed directly with the nuclear data community at ND2007. Since ND2007, integral benchmark data that are available for nuclear data testing have increased significantly. The status of the ICSBEP and the IRPhEP is discussed and selected benchmark configurations that have been added to the ICSBEP and IRPhEP Handbooks since ND2007 are highlighted.

  13. Benchmark enclosure fire suppression experiments - phase 1 test report.

    SciTech Connect (OSTI)

    Figueroa, Victor G.; Nichols, Robert Thomas; Blanchat, Thomas K.

    2007-06-01T23:59:59.000Z

    A series of fire benchmark water suppression tests were performed that may provide guidance for dispersal systems for the protection of high value assets. The test results provide boundary and temporal data necessary for water spray suppression model development and validation. A review of fire suppression in presented for both gaseous suppression and water mist fire suppression. The experimental setup and procedure for gathering water suppression performance data are shown. Characteristics of the nozzles used in the testing are presented. Results of the experiments are discussed.

  14. REPORT FOR COMMERCIAL GRADE NICKEL CHARACTERIZATION AND BENCHMARKING

    SciTech Connect (OSTI)

    None

    2012-12-20T23:59:59.000Z

    Oak Ridge Associated Universities (ORAU), under the Oak Ridge Institute for Science and Education (ORISE) contract, has completed the collection, sample analysis, and review of analytical results to benchmark the concentrations of gross alpha-emitting radionuclides, gross beta-emitting radionuclides, and technetium-99 in commercial grade nickel. This report presents methods, change management, observations, and statistical analysis of materials procured from sellers representing nine countries on four continents. The data suggest there is a low probability of detecting alpha- and beta-emitting radionuclides in commercial nickel. Technetium-99 was not detected in any samples, thus suggesting it is not present in commercial nickel.

  15. Atomic data for astrophysics. Calculations, benchmarking and distribution

    SciTech Connect (OSTI)

    Del Zanna, G. [Department of Applied Mathematics and Theoretical Physics University of Cambridge Wilberforce Road, Cambridge, CB3 0WA (United Kingdom)

    2012-05-25T23:59:59.000Z

    Some recent R-matrix and distorted-wave calculations, done as part of the UK APAPNetwork, are presented. They are focused on some ions important for the EUV and the X-rays, in particular for the solar corona. A long-term and novel project to benchmark atomic data against laboratory and astrophysical data is summarised, highlighting new plasma diagnostics. The various ways in which the atomic data are made available to the various communities through e.g. the CHIANTI and the VAMDC EU framework are also presented.

  16. Demonstration of Advanced Technologies for Multi-Load Washers in Hospitality and Healthcare – Wastewater Recycling Technology

    SciTech Connect (OSTI)

    Boyd, Brian K.; Parker, Graham B.; Petersen, Joseph M.; Sullivan, Greg; Goetzler, W.; Foley, K. J.; Sutherland, T. A.

    2014-08-14T23:59:59.000Z

    The objective of this demonstration project was to evaluate market-ready retrofit technologies for reducing the energy and water use of multi-load washers in healthcare and hospitality facilities. Specifically, this project evaluated laundry wastewater recycling technology in the hospitality sector and ozone laundry technology in both the healthcare and hospitality sectors. This report documents the demonstration of a wastewater recycling system installed in the Grand Hyatt Seattle.

  17. Benchmarking of Advanced HEVs and PHEVs over a Wide Range...

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

    DOE Office of Vehicle Technologies "Mega" Merit Review 2008 on February 25, 2008 in Bethesda, Maryland. merit08carlson.pdf More Documents & Publications Off-Cycle Benchmarking...

  18. An Evaluation of High Performance Fortran Compilers Using the HPFBench Benchmark

    E-Print Network [OSTI]

    Hu, Y. Charlie

    of the HPF- Bench suite are covered online at http://www.crpc.rice.edu/HPFF/benchmarks. In this paper, we use

  19. Insights from a benchmark integrated system validation of a modernized NPP control room: Performance measurement and the comparison to the benchmark system

    SciTech Connect (OSTI)

    Braarud, P. Oe.; Skraaning Jr, G. [OECD Halden Reactor Project, PO Box 173, NO-1751 Halden (Norway)

    2006-07-01T23:59:59.000Z

    The technical basis for performing Integrated System Validation (ISV) of new or modernized NPP control rooms needs further development. Most of the basis for conducting benchmark testing can be found in the review guideline NUREG/CR-6393. The experiences from a benchmark ISV of a modernized control room led to the identification of several unsolved practical and methodological issues. This paper discusses two such issues, i.e. the construction of usable performance measurement batteries, and how one should identify noteworthy performance differences between the modernized system and the benchmark system. (authors)

  20. Performance of T12 and T8 Fluorescent Lamps and Troffers and LED Linear Replacement Lamps CALiPER Benchmark Report

    SciTech Connect (OSTI)

    Myer, Michael; Paget, Maria L.; Lingard, Robert D.

    2009-01-16T23:59:59.000Z

    The Department of Energy (DOE) Commercially Available LED Product Evaluation and Reporting (CALiPER) Program was established in 2006 to investigate the performance of light-emitting diode (LED) based luminaires and replacement lamps. To help users better compare LED products with conventional lighting technologies, CALiPER has also performed benchmark research and testing of traditional (i.e., non-LED) lamps and fixtures. This benchmark report addresses standard 4-foot fluorescent lamps (i.e., T12 and T8) and the 2-foot by 4-foot recessed troffers in which they are commonly used. This report also examines available LED replacements for T12 and T8 fluorescent lamps, and their application in fluorescent troffers. The construction and operation of linear fluorescent lamps and troffers are discussed, as well as fluorescent lamp and fixture performance, based on manufacturer data and CALiPER benchmark testing. In addition, the report describes LED replacements for linear fluorescent lamps, and compares their bare lamp and in situ performance with fluorescent benchmarks on a range of standard lighting measures, including power usage, light output and distribution, efficacy, correlated color temperature, and the color rendering index. Potential performance and application issues indicated by CALiPER testing results are also examined.

  1. MCNP6 Results for the Phase III Sensitivity Benchmark of the OCED/NEA Expert Group on Uncertainty Analysis for Criticality Safety Assessment

    SciTech Connect (OSTI)

    Kiedrowski, Brian C. [Los Alamos National Laboratory

    2012-06-19T23:59:59.000Z

    Within the last decade, there has been increasing interest in the calculation of cross section sensitivity coefficients of k{sub eff} for integral experiment design and uncertainty analysis. The OECD/NEA has an Expert Group devoted to Sensitivity and Uncertainty Analysis within the Working Party for Nuclear Criticality Safety. This expert group has developed benchmarks to assess code capabilities and performance for doing sensitivity and uncertainty analysis. Phase III of a set of sensitivity benchmarks evaluates capabilities for computing sensitivity coefficients. MCNP6 has the capability to compute cross section sensitivities for k{sub eff} using continuous-energy physics. To help verify this capability, results for the Phase III benchmark cases are generated and submitted to the Expert Group for comparison. The Phase III benchmark has three cases: III.1, an array of MOX fuel pins, III.2, a series of infinite lattices of MOX fuel pins with varying pitches, and III.3 two spheres with homogeneous mixtures of UF{sub 4} and polyethylene with different enrichments.

  2. Benchmarking of Graphite Reflected Critical Assemblies of UO2

    SciTech Connect (OSTI)

    Margaret A. Marshall; John D. Bess

    2011-11-01T23:59:59.000Z

    A series of experiments were carried out in 1963 at the Oak Ridge National Laboratory Critical Experiments Facility (ORCEF) for use in space reactor research programs. A core containing 93.2% enriched UO2 fuel rods was used in these experiments. The first part of the experimental series consisted of 253 tightly-packed fuel rods (1.27 cm triangular pitch) with graphite reflectors [1], the second part used 253 graphite-reflected fuel rods organized in a 1.506 cm triangular pitch [2], and the final part of the experimental series consisted of 253 beryllium-reflected fuel rods with a 1.506 cm triangular pitch. [3] Fission rate distribution and cadmium ratio measurements were taken for all three parts of the experimental series. Reactivity coefficient measurements were taken for various materials placed in the beryllium reflected core. The first part of this experimental series has been evaluated for inclusion in the International Reactor Physics Experiment Evaluation Project (IRPhEP) [4] and the International Criticality Safety Benchmark Evaluation Project (ICSBEP) Handbooks, [5] and is discussed below. These experiments are of interest as benchmarks because they support the validation of compact reactor designs with similar characteristics to the design parameters for a space nuclear fission surface power systems. [6

  3. Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining

    E-Print Network [OSTI]

    Pei, Jian

    Towards Data Mining Benchmarking: A Test Bed for Performance Study of Frequent Pattern Mining Jian, object-relational DBMS, data warehouse sys- tems, etc. We believe that benchmarking data mining mining systems as well. Frequent pattern mining forms a core component in mining associations

  4. COBRA: A Hybrid Method for Software Cost Estimation, Benchmarking, and Risk Assessment

    E-Print Network [OSTI]

    Briand, Lionel C.

    COBRA: A Hybrid Method for Software Cost Estimation, Benchmarking, and Risk Assessment approaches (referred to as COBRA, COst estimation, Benchmarking, and Risk Assessment). We find through a case accurate and reliable cost estimates to allocate and control project resources, and to make realistic bids

  5. Benchmarking and incentive regulation of quality of service: an application to the UK electricity distribution utilities

    E-Print Network [OSTI]

    Giannakis, D; Jamasb, Tooraj; Pollitt, Michael G.

    2004-06-16T23:59:59.000Z

    Cambridge Working Papers in Economics CWPE 0408 Benchmarking and Incentive Regulation of Quality of Service: an Application to the UK Electricity Distribution Utilities D. Giannakis, T. Jamasb, and M. Pollitt... and Environmental Policy Research CMI Working Paper Series UNIVERSITY OF CAMBRIDGE Department of Applied Economics BENCHMARKING AND INCENTIVE REGULATION OF QUALITY OF SERVICE: AN APPLICATION TO THE UK ELECTRICITY DISTRIBUTION UTILITIES Dimitrios Giannakis...

  6. The ORSphere Benchmark Evaluation and Its Potential Impact on Nuclear Criticality Safety

    SciTech Connect (OSTI)

    John D. Bess; Margaret A. Marshall; J. Blair Briggs

    2013-10-01T23:59:59.000Z

    In the early 1970’s, critical experiments using an unreflected metal sphere of highly enriched uranium (HEU) were performed with the focus to provide a “very accurate description…as an ideal benchmark for calculational methods and cross-section data files.” Two near-critical configurations of the Oak Ridge Sphere (ORSphere) were evaluated as acceptable benchmark experiments for inclusion in the International Handbook of Evaluated Criticality Safety Benchmark Experiments (ICSBEP Handbook). The results from those benchmark experiments were then compared with additional unmoderated and unreflected HEU metal benchmark experiment configurations currently found in the ICSBEP Handbook. For basic geometries (spheres, cylinders, and slabs) the eigenvalues calculated using MCNP5 and ENDF/B-VII.0 were within 3 of their respective benchmark values. There appears to be generally a good agreement between calculated and benchmark values for spherical and slab geometry systems. Cylindrical geometry configurations tended to calculate low, including more complex bare HEU metal systems containing cylinders. The ORSphere experiments do not calculate within their 1s uncertainty and there is a possibility that the effect of the measured uncertainties for the GODIVA I benchmark may need reevaluated. There is significant scatter in the calculations for the highly-correlated ORCEF cylinder experiments, which are constructed from close-fitting HEU discs and annuli. Selection of a nuclear data library can have a larger impact on calculated eigenvalue results than the variation found within calculations of a given experimental series, such as the ORCEF cylinders, using a single nuclear data set.

  7. DiSC: Benchmarking Secure Chip DBMS Nicolas Anciaux, Luc Bouganim, Philippe Pucheral, and Patrick Valduriez

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    DiSC: Benchmarking Secure Chip DBMS Nicolas Anciaux, Luc Bouganim, Philippe Pucheral, and Patrick irrelevant. The main problem faced by secure chip DBMS designers is to be able to assess various design choices and trade-offs for different applications. Our solution is to use a benchmark for secure chip DBMS

  8. Fault-tolerant model predictive control of a wind turbine benchmark

    E-Print Network [OSTI]

    Cambridge, University of

    Fault-tolerant model predictive control of a wind turbine benchmark X. Yang J.M. Maciejowski tolerant control problem of a wind turbine benchmark. A hierarchical controller with model predictive pre component of the wind turbine. The global MPC is used to schedule the operation of the components

  9. IEEE TRANSACTIONS ON NANOTECHNOLOGY, VOL. 4, NO. 2, MARCH 2005 153 Benchmarking Nanotechnology for

    E-Print Network [OSTI]

    Yener, Aylin

    IEEE TRANSACTIONS ON NANOTECHNOLOGY, VOL. 4, NO. 2, MARCH 2005 153 Benchmarking Nanotechnology Radosavljevic Abstract--Recently there has been tremendous progress made in the research of novel nanotechnology believe that benchmarking is a key element in accelerating the progress of nanotechnology research

  10. BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics

    E-Print Network [OSTI]

    Bennett, Ed; Jordan, Kirk; Lucini, Biagio; Patella, Agostino; Pica, Claudio; Rago, Antonio

    2014-01-01T23:59:59.000Z

    Benchmarking plays a central role in the evaluation of High Performance Computing architectures. Several benchmarks have been designed that allow users to stress various components of supercomputers. In order for the figures they provide to be useful, benchmarks need to be representative of the most common real-world scenarios. In this work, we introduce BSMBench, a benchmarking suite derived from Monte Carlo code used in computational particle physics. The advantage of this suite (which can be freely downloaded from http://www.bsmbench.org/) over others is the capacity to vary the relative importance of computation and communication. This enables the tests to simulate various practical situations. To showcase BSMBench, we perform a wide range of tests on various architectures, from desktop computers to state-of-the-art supercomputers, and discuss the corresponding results. Possible future directions of development of the benchmark are also outlined.

  11. BSMBench: a flexible and scalable supercomputer benchmark from computational particle physics

    E-Print Network [OSTI]

    Ed Bennett; Luigi Del Debbio; Kirk Jordan; Biagio Lucini; Agostino Patella; Claudio Pica; Antonio Rago

    2014-01-15T23:59:59.000Z

    Benchmarking plays a central role in the evaluation of High Performance Computing architectures. Several benchmarks have been designed that allow users to stress various components of supercomputers. In order for the figures they provide to be useful, benchmarks need to be representative of the most common real-world scenarios. In this work, we introduce BSMBench, a benchmarking suite derived from Monte Carlo code used in computational particle physics. The advantage of this suite (which can be freely downloaded from http://www.bsmbench.org/) over others is the capacity to vary the relative importance of computation and communication. This enables the tests to simulate various practical situations. To showcase BSMBench, we perform a wide range of tests on various architectures, from desktop computers to state-of-the-art supercomputers, and discuss the corresponding results. Possible future directions of development of the benchmark are also outlined.

  12. INTEGRAL BENCHMARK DATA FOR NUCLEAR DATA TESTING THROUGH THE ICSBEP AND THE NEWLY ORGANIZED IRPHEP

    SciTech Connect (OSTI)

    J. Blair Briggs; Lori Scott; Yolanda Rugama; Enrico Satori

    2007-04-01T23:59:59.000Z

    The status of the International Criticality Safety Benchmark Evaluation Project (ICSBEP) was last reported in a nuclear data conference at the International Conference on Nuclear Data for Science and Technology, ND-2004, in Santa Fe, New Mexico. Since that time the number and type of integral benchmarks have increased significantly. Included in the ICSBEP Handbook are criticality-alarm / shielding and fundamental physic benchmarks in addition to the traditional critical / subcritical benchmark data. Since ND 2004, a reactor physics counterpart to the ICSBEP, the International Reactor Physics Experiment Evaluation Project (IRPhEP) was initiated. The IRPhEP is patterned after the ICSBEP, but focuses on other integral measurements, such as buckling, spectral characteristics, reactivity effects, reactivity coefficients, kinetics measurements, reaction-rate and power distributions, nuclide compositions, and other miscellaneous-type measurements in addition to the critical configuration. The status of these two projects is discussed and selected benchmarks highlighted in this paper.

  13. Computational Benchmark Calculations Relevant to the Neutronic Design of the Spallation Neutron Source (SNS)

    SciTech Connect (OSTI)

    Gallmeier, F.X.; Glasgow, D.C.; Jerde, E.A.; Johnson, J.O.; Yugo, J.J.

    1999-11-14T23:59:59.000Z

    The Spallation Neutron Source (SNS) will provide an intense source of low-energy neutrons for experimental use. The low-energy neutrons are produced by the interaction of a high-energy (1.0 GeV) proton beam on a mercury (Hg) target and slowed down in liquid hydrogen or light water moderators. Computer codes and computational techniques are being benchmarked against relevant experimental data to validate and verify the tools being used to predict the performance of the SNS. The LAHET Code System (LCS), which includes LAHET, HTAPE ad HMCNP (a modified version of MCNP version 3b), have been applied to the analysis of experiments that were conducted in the Alternating Gradient Synchrotron (AGS) facility at Brookhaven National Laboratory (BNL). In the AGS experiments, foils of various materials were placed around a mercury-filled stainless steel cylinder, which was bombarded with protons at 1.6 GeV. Neutrons created in the mercury target, activated the foils. Activities of the relevant isotopes were accurately measured and compared with calculated predictions. Measurements at BNL were provided in part by collaborating scientists from JAERI as part of the AGS Spallation Target Experiment (ASTE) collaboration. To date, calculations have shown good agreement with measurements.

  14. Benchmarking of the MIT High Temperature Gas-Cooled Reactor TRISO-Coated Particle Fuel Performance Model

    E-Print Network [OSTI]

    are specified. This thesis reports TIMCOAT's results from the benchmark study. As this was a blind benchmark and Engineering Thesis Supervisor Accepted by ___________________________________________________________________ Andrew C. Kadak Professor of the Practice of Nuclear Science and Engineering Thesis Reader Accepted

  15. Towards benchmarking an in-stream water quality model Hydrol. Earth Syst. Sci., 11(1), 623633, 2007

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . The project Benchmark Models for the Water Framework Directive (BMW, project website address http:// www.environment. This latter process is benchmarking. The BMW project considers models, primarily of water quality, categorised

  16. Benchmarking ICRF Full-wave Solvers for ITER

    SciTech Connect (OSTI)

    R. V. Budny, L. Berry, R. Bilato, P. Bonoli, M. Brambilla, R. J. Dumont, A. Fukuyama, R. Harvey, E. F. Jaeger, K. Indireshkumar, E. Lerche, D. McCune, C. K. Phillips, V. Vdovin, J. Wright, and members of the ITPA-IOS

    2011-01-06T23:59:59.000Z

    Abstract Benchmarking of full-wave solvers for ICRF simulations is performed using plasma profiles and equilibria obtained from integrated self-consistent modeling predictions of four ITER plasmas. One is for a high performance baseline (5.3 T, 15 MA) DT H-mode. The others are for half-field, half-current plasmas of interest for the pre-activation phase with bulk plasma ion species being either hydrogen or He4. The predicted profiles are used by six full-wave solver groups to simulate the ICRF electromagnetic fields and heating, and by three of these groups to simulate the current-drive. Approximate agreement is achieved for the predicted heating power for the DT and He4 cases. Factor of two disagreements are found for the cases with second harmonic He3 heating in bulk H cases. Approximate agreement is achieved simulating the ICRF current drive.

  17. NERSC-6 Workload Analysis and Benchmark Selection Process

    SciTech Connect (OSTI)

    Antypas, Katie; Shalf, John; Wasserman, Harvey

    2008-08-29T23:59:59.000Z

    This report describes efforts carried out during early 2008 to determine some of the science drivers for the"NERSC-6" next-generation high-performance computing system acquisition. Although the starting point was existing Greenbooks from DOE and the NERSC User Group, the main contribution of this work is an analysis of the current NERSC computational workload combined with requirements information elicited from key users and other scientists about expected needs in the 2009-2011 timeframe. The NERSC workload is described in terms of science areas, computer codes supporting research within those areas, and description of key algorithms that comprise the codes. This work was carried out in large part to help select a small set of benchmark programs that accurately capture the science and algorithmic characteristics of the workload. The report concludes with a description of the codes selected and some preliminary performance data for them on several important systems.

  18. Workshops and problems for benchmarking eddy current codes

    SciTech Connect (OSTI)

    Turner, L.R.; Davey, K.; Ida, N.; Rodger, D.; Kameari, A.; Bossavit, A.; Emson, C.R.I.

    1988-08-01T23:59:59.000Z

    A series of six workshops was held in 1986 and 1987 to compare eddy current codes, using six benchmark problems. The problems included transient and steady-state ac magnetic fields, close and far boundary conditions, magnetic and non-magnetic materials. All the problems were based either on experiments or on geometries that can be solved analytically. The workshops and solutions to the problems are described. Results show that many different methods and formulations give satisfactory solutions, and that in many cases reduced dimensionality or coarse discretization can give acceptable results while reducing the computer time required. A second two-year series of TEAM (Testing Electromagnetic Analysis Methods) workshops, using six more problems, is underway. 12 refs., 15 figs., 4 tabs.

  19. Benchmarking Of Improved DPAC Transient Deflagration Analysis Code

    SciTech Connect (OSTI)

    Laurinat, James E.; Hensel, Steve J.

    2013-03-21T23:59:59.000Z

    The transient deflagration code DPAC (Deflagration Pressure Analysis Code) has been upgraded for use in modeling hydrogen deflagration transients. The upgraded code is benchmarked using data from vented hydrogen deflagration tests conducted at the HYDRO-SC Test Facility at the University of Pisa. DPAC originally was written to calculate peak deflagration pressures for deflagrations in radioactive waste storage tanks and process facilities at the Savannah River Site. Upgrades include the addition of a laminar flame speed correlation for hydrogen deflagrations and a mechanistic model for turbulent flame propagation, incorporation of inertial effects during venting, and inclusion of the effect of water vapor condensation on vessel walls. In addition, DPAC has been coupled with CEA, a NASA combustion chemistry code. The deflagration tests are modeled as end-to-end deflagrations. The improved DPAC code successfully predicts both the peak pressures during the deflagration tests and the times at which the pressure peaks.

  20. Benchmarking transportation logistics practices for effective system planning

    SciTech Connect (OSTI)

    Thrower, A.W. [Office of Civilian Radioactive Waste Management, U.S. Dept. of Energy, Washington, DC (United States); Dravo, A.N. [Booz Allen Hamilton, Washington, DC (United States); Keister, M. [Idaho National Laboratory, ID (United States)

    2007-07-01T23:59:59.000Z

    This paper presents preliminary findings of an Office of Civilian Radioactive Waste Management (OCRWM) benchmarking project to identify best practices for logistics enterprises. The results will help OCRWM's Office of Logistics Management (OLM) design and implement a system to move spent nuclear fuel (SNF) and high-level radioactive waste (HLW) to the Yucca Mountain repository for disposal when that facility is licensed and built. This report suggests topics for additional study. The project team looked at three Federal radioactive material logistics operations that are widely viewed to be successful: (1) the Waste Isolation Pilot Plant (WIPP) in Carlsbad, New Mexico; (2) the Naval Nuclear Propulsion Program (NNPP); and (3) domestic and foreign research reactor (FRR) SNF acceptance programs. (authors)

  1. Hospital A Hospital B Hospital C Practice Variation in Emergency Department Management of Children

    E-Print Network [OSTI]

    or in the ED was included for analysis. · Patients taking antibiotics within 24 hours of the visit (pretreated Institute Training Grant T35 HL072483 (Harder). · Kris Gutierrez and Rob Thielke: Data retrieval from the Children's Hospital of Wisconsin clinical data warehouse. · Haydee Zimmerman: Access Database design

  2. Usability of Outdoor Spaces in Children's Hospitals 

    E-Print Network [OSTI]

    Pasha, Samira

    2012-07-16T23:59:59.000Z

    Researchers have studied the positive effect of healing outdoor environments on hospitalized children, their family members and staff's health and mood. Consequently many modern hospitals dedicate portions of their space ...

  3. Elec 331 -Hospital Safety Power Distribution

    E-Print Network [OSTI]

    Pulfrey, David L.

    - Hospital Safety 7 Ground Fault Interrupter Test Reset Gnd Ref Hot Ref Hot Test / Reset Relay Relay : 5 to 30 mA, Protection #12;Elec 331 - Hospital Safety 8

  4. Terry Sharp, P.E. Building Performance Benchmarking

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    performance ratings identify where to focus energy and cost reduction efforts · Advanced energy data Should Care · Energy Star tools enable you to take Strategic Energy Management to a new level · Energy available from EPA's Energy Star Program · Energy data normalization · Related work initiated to support

  5. Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure by Transfer Function Pole Migration

    E-Print Network [OSTI]

    Lynch, Jerome P.

    Damage Characterization of the IASC-ASCE Structural Health Monitoring Benchmark Structure. The IASC-ASCE structural health monitoring benchmark structure is used in this study to illustrate Health Monitoring Benchmark Structure by Transfer Function Pole Migration, " Proceedings of the 2005 ASCE

  6. Energy Efficiency Evaluation and Planning for Existing Buildings

    Broader source: Energy.gov [DOE]

    For meeting Federal sustainability requirements, agencies can use evaluation methods—such as benchmarking and energy audits—and planning to make their existing buildings energy efficient. To comply...

  7. BUILDING VENTILATION AND INDOOR AIR QUALITY PROGRAM. CHAPTER FROM ENERGY AND ENVIRONMENT DIVISION ANNUAL REPORT 1978

    E-Print Network [OSTI]

    Cairns, Elton J.

    2011-01-01T23:59:59.000Z

    and in new "energy-efficient design" hospitals. Developmentenergy-efficient ventilation standards and ventilation designs

  8. Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431: Appendices

    E-Print Network [OSTI]

    Brown, Richard; Alliance to Save Energy; ICF Incorporated; ERG Incorporated; U.S. Environmental Protection Agency

    2008-01-01T23:59:59.000Z

    school districts, ports, libraries, hospitals, and health districts which provides free energy audits.

  9. ExxonMobil Global Energy Management System

    E-Print Network [OSTI]

    Roberto, F.

    of our refineries and chemical plants. The system builds on international best practices and benchmarking to identify energy efficiencies. Launched in 2000, it utilizes a common methodology to identify performance gaps, implement closure plans, sustain...

  10. Continuous Commissioning of the Reynolds Army Community Hospital, Fort Sill, Oklahoma

    E-Print Network [OSTI]

    Turner, W. D.; Baltazar-Cervantes, J. C.; Martinez, J. T.

    2007-01-01T23:59:59.000Z

    Continuous Commissioning® (CC®) of the Reynolds Army Community Hospital facility was a two phase project. The first phase consisted of a point-to-point verification of a newly upgraded Energy Management Control System (EMCS) and calibration of key...

  11. Iowa Energy Bank

    Broader source: Energy.gov [DOE]

    The Iowa Energy Bank offers Iowa's public facilities, schools, area education agencies, colleges, universities, hospitals and local governments a 1% financing option for the implementation of cost...

  12. NNLO Benchmarks for Gauge and Higgs Boson Production at TeV Hadron Colliders

    E-Print Network [OSTI]

    S. Alekhin; J. Blümlein; P. Jimenez-Delgado; S. Moch; E. Reya

    2010-11-29T23:59:59.000Z

    The inclusive production cross sections for $W^+, W^-$ and $Z^0$-bosons form important benchmarks for the physics at hadron colliders. We perform a detailed comparison of the predictions for these standard candles based on recent next-to-next-to-leading order (NNLO) parton parameterizations and new analyses including the combined HERA data, compare to all available experimental results, and discuss the predictions for present and upcoming RHIC, SPS, Tevatron and LHC energies. The rates for gauge boson production at the LHC can be rather confidently predicted with an accuracy of better than about 10% at NNLO. We also present detailed NNLO predictions for the Higgs boson production cross sections for Tevatron and LHC energies (1.96, 7, 8, 14 TeV), and propose a possible method to monitor the gluon distribution experimentally in the kinematic region close to the mass range expected for the Higgs boson. The production cross sections of the Higgs boson at the LHC are presently predicted with an accuracy of about 10--17%. The inclusion of the NNLO contributions is mandatory for achieving such accuracies since the total uncertainties are substantially larger at NLO.

  13. ENERGY EFFICIENT BUILDINGS PROGRAM. CHAPTER FROM ENERGY & ENVIRONMENT ANNUAL REPORT 1977

    E-Print Network [OSTI]

    Authors, Various

    2010-01-01T23:59:59.000Z

    retrofitted, and new "energy efficient design" hospitals.incorporating energy efficient designs. The EEB mobilecurrently available, energy efficient design practices and

  14. Neutronics Benchmarks for the Utilization of Mixed-Oxide Fuel: Joint US/Russian Progress Report for Fiscal Year 1997, Volume 4, part 4-ESADA Plutonium Program Critical Experiments: Single-Region Core Configurations

    SciTech Connect (OSTI)

    Akkurt, H.; Abdurrahman, N.M.

    1999-05-01T23:59:59.000Z

    The purpose of this study is to simulate and assess the findings from selected ESADA experiments. It is presented in the format prescribed by the Nuclear Energy Agency Nuclear Science Committee for material to be included in the International Handbook of Evaluated Criticality Safety Benchmark Experiments.

  15. Yes, your ideas and our technologies can contribute to economic, social and environmental progress. Alstom is a global leader in the world of power generation and rail infrastructure and sets the benchmark for innovative and environmentally

    E-Print Network [OSTI]

    . Alstom is a global leader in the world of power generation and rail infrastructure and sets the benchmark capacity automated metros in the world, and provides integrated power plant solutions and associated services for a wide variety of energy sources, including wind, solar, hydro, geothermal, ocean (wave), gas

  16. Advanced benchmarking for complex building types: laboratories as an exemplar.

    E-Print Network [OSTI]

    Mathew, Paul; Clear, Robert; Kircher, Kevin; Webster, Tom; Lee, Kwang Ho; Hoyt, Tyler

    2010-01-01T23:59:59.000Z

    accuracy afforded by an energy audit, we demonstrate how itof accuracy afforded by an energy audit. However, selected

  17. Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar

    E-Print Network [OSTI]

    Mathew, Paul A.

    2010-01-01T23:59:59.000Z

    accuracy afforded by an energy audit, we demonstrate how itof accuracy afforded by an energy audit. However, selected

  18. Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431: Appendices

    E-Print Network [OSTI]

    Brown, Richard; Alliance to Save Energy; ICF Incorporated; ERG Incorporated; U.S. Environmental Protection Agency

    2008-01-01T23:59:59.000Z

    adoption of energy efficient data centers and IT equipmentand data centers, the server closet penetration of “energy efficient”energy efficient facilities identified in recent benchmarking studies of 22 data centers

  19. Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants

    E-Print Network [OSTI]

    Lehrer, David; Vasudev, Janani

    2011-01-01T23:59:59.000Z

    Benchmarking for Net-Zero Energy Buildings. ” 12 Included ina small commercial zero-energy building (ZEB). This team hasnet-zero energy for all new commercial buildings by 2030.

  20. HPGMG 1.0: A Benchmark for Ranking High Performance Computing Systems

    SciTech Connect (OSTI)

    Adams, Mark; Brown, Jed; Shalf, John; Straalen, Brian Van; Strohmaier, Erich; Williams, Sam

    2014-05-05T23:59:59.000Z

    This document provides an overview of the benchmark ? HPGMG ? for ranking large scale general purpose computers for use on the Top500 list [8]. We provide a rationale for the need for a replacement for the current metric HPL, some background of the Top500 list and the challenges of developing such a metric; we discuss our design philosophy and methodology, and an overview of the specification of the benchmark. The primary documentation with maintained details on the specification can be found at hpgmg.org and the Wiki and benchmark code itself can be found in the repository https://bitbucket.org/hpgmg/hpgmg.