National Library of Energy BETA

Sample records for hospital energy benchmarking

  1. Hospital Energy Benchmarking Guidance - Version 1.0

    SciTech Connect (OSTI)

    Singer, Brett C.

    2009-09-08

    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.

    2010-01-01

    tables that follow. Thermal Energy and Ventilation Providedsystems a. Identify thermal energy flows (cooling, spaceestimated from the thermal energy supplied to the hospital

  3. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01

    Fuel energy supplied to boilers. kBtu to hospital 1,2 •EUI: • Fuel energy to steam boilers. • Applicable when steamkBtu/sf-yr • Assumes pump & boiler fan energy small relative

  4. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01

    as part of a building automation or energy managementthe available building automation (BAS), energy management (

  5. Cleanroom energy benchmarking results

    E-Print Network [OSTI]

    Tschudi, William; Xu, Tengfang

    2001-01-01

    emeu/consumption) Cleanroom benchmarking results, (http://Fok, and P. Rumsey. 2001. Cleanroom Energy Benchmarking inin the proceedings. Cleanroom Energy Benchmarking Results

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

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

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

  7. Benchmarking Corporate Energy Management 

    E-Print Network [OSTI]

    Norland, D. L.

    2001-01-01

    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 management practices...

  8. Cleanroom energy benchmarking results

    SciTech Connect (OSTI)

    Tschudi, William; Xu, Tengfang

    2001-09-01

    A utility market transformation project studied energy use and identified energy efficiency opportunities in cleanroom HVAC design and operation for fourteen cleanrooms. This paper presents the results of this work and relevant observations. Cleanroom owners and operators know that cleanrooms are energy intensive but have little information to compare their cleanroom's performance over time, or to others. Direct comparison of energy performance by traditional means, such as watts/ft{sup 2}, is not a good indicator with the wide range of industrial processes and cleanliness levels occurring in cleanrooms. In this project, metrics allow direct comparison of the efficiency of HVAC systems and components. Energy and flow measurements were taken to determine actual HVAC system energy efficiency. The results confirm a wide variation in operating efficiency and they identify other non-energy operating problems. Improvement opportunities were identified at each of the benchmarked facilities. Analysis of the best performing systems and components is summarized, as are areas for additional investigation.

  9. 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...

  10. Outlook for Industrial Energy Benchmarking 

    E-Print Network [OSTI]

    Hartley, Z.

    2000-01-01

    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...

  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

    1996-12-31

    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. Cleanroom energy benchmarking results

    E-Print Network [OSTI]

    Tschudi, William; Xu, Tengfang

    2001-01-01

    comparisons of energy use per square foot are of littleAnnual Energy Cost per Cleanroom Square Foot Annual Fuel

  13. Monitoring and Benchmarking for Energy Information Systems |...

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

    systems for commercialhigh-rise residential units. Advanced benchmarking and energy information systems (EIS) can enable up to 20% energy savings. However, there is a lack of...

  14. Federal Building Energy Use Benchmarking Guidance, August 2014...

    Office of Environmental Management (EM)

    Energy Use Benchmarking Guidance, August 2014 Update Federal Building Energy Use Benchmarking Guidance, August 2014 Update Guidance describes the Energy Independence and Security...

  15. Energy Benchmarking and Disclosure | 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 on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementofAprilofEnergyEnSysEnergyBuildings |Benchmarking

  16. Energy Benchmarking, Rating, and Disclosure for State Governments

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Provides information on how energy use data access can help state governments lead by example through benchmarking and disclosing results and implement benchmarking policies for the private sector.

  17. Cleanroom Energy Efficiency: Metrics and Benchmarks

    SciTech Connect (OSTI)

    International SEMATECH Manufacturing Initiative; Mathew, Paul A.; Tschudi, William; Sartor, Dale; Beasley, James

    2010-07-07

    Cleanrooms are among the most energy-intensive types of facilities. This is primarily due to the cleanliness requirements that result in high airflow rates and system static pressures, as well as process requirements that result in high cooling loads. Various studies have shown that there is a wide range of cleanroom energy efficiencies and that facility managers may not be aware of how energy efficient their cleanroom facility can be relative to other cleanroom facilities with the same cleanliness requirements. Metrics and benchmarks are an effective way to compare one facility to another and to track the performance of a given facility over time. This article presents the key metrics and benchmarks that facility managers can use to assess, track, and manage their cleanroom energy efficiency or to set energy efficiency targets for new construction. These include system-level metrics such as air change rates, air handling W/cfm, and filter pressure drops. Operational data are presented from over 20 different cleanrooms that were benchmarked with these metrics and that are part of the cleanroom benchmark dataset maintained by Lawrence Berkeley National Laboratory (LBNL). Overall production efficiency metrics for cleanrooms in 28 semiconductor manufacturing facilities in the United States and recorded in the Fabs21 database are also presented.

  18. Aluminum processing energy benchmark report

    SciTech Connect (OSTI)

    None, None

    2007-02-01

    Substantial energy efficiency gains have been made in the aluminum industry over the past forty years, resulting in a 58 percent decrease in energy utilization.

  19. Benchmarking & Energy Master Planning in Schools 

    E-Print Network [OSTI]

    Bronk, S.

    2014-01-01

    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 ? Access to comprehensive measurement...© Copyright 2013 CLEAResult. All rights reserved. ESL-KT-14-11-03 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 SCORE/CitySmart program overview ? Financial Incentives ? No Cost services: technical assistance & communications...

  20. Plant Level Energy Performance Benchmarking 

    E-Print Network [OSTI]

    Hicks, T. W.

    2001-01-01

    Since the early 1990's, the U.S. Environmental Protection Agency (EPA) has worked with U.S. corporations to reduce their energy requirements in buildings and office space through voluntary programs such as ENERGY STAR®. Corporate partners within...

  1. Energy Benchmarking, Rating, and Disclosure for Local Governments

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Provides information on how access to energy use data can help local governments create policies for benchmarking and disclosing building energy performance for public and private sector buildings.

  2. 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

  3. 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

    2005-01-01

    temperature (and thus the best energy efficiency) and lowerindustry called “BEST (Benchmarking and Energy and waterR EPORT BEST WINERY GUIDEBOOK: BENCHMARKING AND ENERGY AND

  4. 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

    2013-01-01

    benchmarking scores for water and energy use, as well asAgricultural / Water Energy-Use Energy Efficiency group ofof Benchmarking and Energy/Water Savings Tool (BEST) for

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann JacksonDepartment|Marketing, LLC |EnergycurrentlyJuneEnergyAssistantAssetAbout

  6. 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

    2013-01-01

    benchmarking scores for water and energy use, as well asAgricultural / Water Energy-Use Energy Efficiency group ofof Benchmarking and Energy/Water Savings Tool (BEST) for

  7. 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

    2013-01-01

    target for best practice and energy efficiency improvementtarget for best practice and energy efficiency improvementMANUAL FOR BEST-DAIRY: BENCHMARKING AND ENERGY/WATER-SAVING

  8. Energy Storage Benchmark Problems Daniel F. Salas1,3

    E-Print Network [OSTI]

    Powell, Warren B.

    and to the electricity grid. Electricity may flow directly from the wind farm to the storage device or it may be used to satisfy the demand. Energy from storage may be sold to the grid at any given time, and electricity fromEnergy Storage Benchmark Problems Daniel F. Salas1,3 , Warren B. Powell2,3 1 Department of Chemical

  9. Cleanroom Energy Efficiency: Metrics and Benchmarks

    E-Print Network [OSTI]

    Mathew, Paul A.

    2012-01-01

    value and have a lower energy usage. Figure 1 shows thatenergy. Cleanroom reheat energy usage can be significantthe overall facility energy usage intensity. However, such

  10. Energy Benchmarking, Rating, and Disclosure for Regulators of Ratepayer-Funded Programs

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2012-05-23

    Provides information on how supporting access to building benchmarking data can help utilities increase efficiency and drive down energy demand.

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

    Broader source: Energy.gov [DOE]

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

  12. Good Samaritan Hospital`s energy efficiency improvements

    SciTech Connect (OSTI)

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

    1995-06-01

    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.

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    the Tool BEST Cement: Benchmarking and Energy Savings Tooland domestic best practice energy use. Comparing the barson the next sheet) best practice energy use. Comparing the

  14. A Utility Regulator’s Guide to Data Access for Commercial Building Energy Performance Benchmarking

    SciTech Connect (OSTI)

    Existing Commercial Buildings Working Group

    2013-05-23

    Offers policy options and considerations to state utility commissions in providing access to energy use data to help commercial customers manage energy costs through building energy benchmarking.

  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

    2013-01-01

    target for best practice and energy efficiency improvementtarget for best practice and energy efficiency improvementLab releases BEST Dairy Energy Efficiency Benchmarking

  16. Issues and Challenges in Energy Benchmarking 

    E-Print Network [OSTI]

    Birchfield, G. S.

    2000-01-01

    on the Second Law. There is good and bad news about these laws. The bad news about the Second Law is that in addition to enthalpy and heating values, we much deal with concepts such as Entropy, Essergy, Exergy, Available Energy, Free Energy, Ideal Work... consume energy. We can only downgrade it COGENERAnON AND CHP Since about 1905, engineers have been demonstrating that sequential generation of electrical or mechanical power and useful heat from the same primary fuel is about thirty percent more...

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

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

    Benchmark the Fuel Cost of Steam Generation Benchmark the Fuel Cost of Steam Generation This tip sheet on benchmarking the fuel cost of steam provides how-to advice for improving...

  18. Optional Residential Program 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAandSummary Areas of the countryof EnergyOptional Residential Program

  19. 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy andandBeforeof Energy2 DOE Hydrogen and

  20. 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy andandBeforeof Energy2 DOE Hydrogen and1

  1. 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy andandBeforeof Energy2 DOE Hydrogen and110

  2. 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy andandBeforeof Energy2 DOE Hydrogen

  3. Cleanroom energy benchmarking in high-tech and biotech industries

    E-Print Network [OSTI]

    Tschudi, William; Benschine, Kathleen; Fok, Stephen; Rumsey, Peter

    2001-01-01

    Benchmarking In High-Tech and Biotech Industries WilliamBenchmarking In High- Tech and Biotech Industries Williamindustries (electronics and biotech) were selected. The

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

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

    assess benchmarking polices in a consistent manner. DOE also sponsored the New York City Benchmarking and Transparency Policy Impact Evaluation Report, which uses the...

  5. Designing a Benchmarking Plan | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i Framing DocumentUnits at Eight

  6. Benchmarking Help Center Guide | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p uBUSEnergy CyberDepartmentonNaturalThis guide provides

  7. Cleanroom energy benchmarking in high-tech and biotech industries

    SciTech Connect (OSTI)

    Tschudi, William; Benschine, Kathleen; Fok, Stephen; Rumsey, Peter

    2001-04-01

    Cleanrooms, critical to a wide range of industries, universities, and government facilities, are extremely energy intensive. Consequently, energy represents a significant operating cost for these facilities. Improving energy efficiency in cleanrooms will yield dramatic productivity improvement. But more importantly to the industries which rely on cleanrooms, base load reduction will also improve reliability. The number of cleanrooms in the US is growing and the cleanroom environmental systems' energy use is increasing due to increases in total square footage and trends toward more energy intensive, higher cleanliness applications. In California, many industries important to the State's economy utilize cleanrooms. In California these industries utilize over 150 cleanrooms with a total of 4.2 million sq. ft. (McIlvaine). Energy intensive high tech buildings offer an attractive incentive for large base load energy reduction. Opportunities for energy efficiency improvement exist in virtually all operating cleanrooms as well as in new designs. To understand the opportunities and their potential impact, Pacific Gas and Electric Company sponsored a project to benchmark energy use in cleanrooms in the electronics (high-tech) and biotechnology industries. Both of these industries are heavily dependent intensive cleanroom environments for research and manufacturing. In California these two industries account for approximately 3.6 million sq. ft. of cleanroom (McIlvaine, 1996) and 4349 GWh/yr. (Sartor et al. 1999). Little comparative energy information on cleanroom environmental systems was previously available. Benchmarking energy use allows direct comparisons leading to identification of best practices, efficiency innovations, and highlighting previously masked design or operational problems.

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

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    Fok, and P. Rumsey. 2001. "Cleanroom Energy Benchmarking inACEEE Industrial Conference. Cleanroom Benchmarking GuidedL1 Lighting Installed Power Cleanroom Benchmarking Guide 9.

  9. Analysis and Practices of Energy Benchmarking for Industry from the Perspective of Systems Engineering

    E-Print Network [OSTI]

    Ke, Jing

    2014-01-01

    2001 ACEEE Summer Study on Energy Efficiency in Industry,GS. Issues and challenges in energy benchmarking. Energ Eng.2001;98(2):38-52. [18] ENERGY STAR. ENERGY STAR for

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

    E-Print Network [OSTI]

    Rivoire, Suzanne

    , and the wireless subsystems in isolation [20, 29, 31]. To drive energy-efficiency improvements, we need benchJouleSort: A Balanced Energy-Efficiency Benchmark Suzanne Rivoire Stanford University Mehul A. ShahSort, an external sort benchmark, for evaluat- ing the energy efficiency of a wide range of computer systems from

  11. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01

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

  12. Hospital Energy Benchmarking Guidance - Version 1.0

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01

    cooling, heating systems - Total floor area of hospitalcooling, heating systems - Total floor area of hospitalthe entire floor space served. For example, heating may be

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

    E-Print Network [OSTI]

    How Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center Does Your Data Center Measure Up? Energy Efficiency Metrics and Benchmarks for Data Center.E., Program manager Lawrence Berkeley National Laboratory 1 Introduction Data centers are among the most

  14. 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.

  15. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    49:43-6. "Hospital Builds Largest Solar Healthcare 1977ti ng build ings and building plans; buying solar; andBuild- ings and Community Systems, Assistant Secretary for Conservation and Solar

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

    E-Print Network [OSTI]

    Xu, T.

    2011-01-01

    Manual for BEST-Dairy: Benchmarking and Energy/water-SavingManual for BEST-Dairy: Benchmarking and Energy/water-SavingManual for BEST-Dairy (V1.2): Benchmarking and Energy/water-

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

    E-Print Network [OSTI]

    Xu, T.

    2011-01-01

    Dairy: Benchmarking and Energy/water-Saving Tool (BEST) forDairy: Benchmarking and Energy/water-Saving Tool (BEST) forV1.2): Benchmarking and Energy/water-Saving Tool (BEST) for

  18. STEP Program Benchmark Report

    Broader source: Energy.gov [DOE]

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

  19. Metrics and Benchmarks for Energy Efficiency in Laboratories

    SciTech Connect (OSTI)

    Mathew, Paul

    2007-10-26

    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).

  20. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Administration. "Solar Energy for Health Care Institutions."prepare to use solar energy in order to achieve savings andin part to the following: solar energy systems. total energy

  1. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    a single "management of energy usage" index. The initialbills will indicate energy usage over a period. and data4) a management energy usage index was developed from the

  2. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Greenberg, A. "Energy Management -- How To Use It and WhatHm" to Start an Energy Management Pro~ gram." Hashington,Resources Administration. "Energy Management in Health Care

  3. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Colorado Energy Conservation and Alternatives Center forColorado Energy Conservation and Alternatives Center for Comsavings. The energy saving alternatives verify the the need

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

    E-Print Network [OSTI]

    Travis, B.

    2012-01-01

    The Energy Star performance rating system for buildings has achieved widespread adoption in the building sector as a standard benchmark for energy performance. In 2011, the U.S. EPA released an updated technical methodology for its Energy Star...

  5. Action-Oriented Benchmarking: Concepts and Tools

    E-Print Network [OSTI]

    Mills, Evan; California Energy Commission

    2008-01-01

    Benchmarking: Concepts and Tools Evan Mills, Paul Mathew &Most energy benchmarking tools provide static feedback onand associated software tool— EnergyIQ. The benchmarking

  6. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul

    2007-01-01

    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

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

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

    healthy healing and work environments. Tools and resources will include advanced energy design guides for small and large hospitals, technology assessments, and an...

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

    Energy Savers [EERE]

    to not only save millions in potential energy costs, but also reduce carbon dioxide emissions. "Hospitals today find themselves at the nexus of two of our nation's most...

  9. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Administration. "Solar Energy for Health Care Institutions."Stathis 9 Florida." "Solar Energy ~_~~~~;""c;C Shows Fuel,prepare to use solar energy in order to achieve savings and

  10. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Health Care and the Energy Crisis." Journal of Communityare complying with energy crisis guidelines and apparently7:52. Cooper, R.J. "Energy Crisis Challenge: Money-Saving

  11. 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.

    2012-01-01

    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...

  12. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    The energy or fuel conservation potential of using heatenergy recovery systems are reviewed, and potential annual savings of conventional fuel

  13. 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).

  14. 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 a significant portion of energy produced in the United States. In order to achieve Zero-Net-Energy (ZNE, there have been various efforts to design and develop zero-net-energy (ZNE) buildings. A ZNE building

  15. 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

  16. 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 with separate Schwartz-type extrapolations A B/(l 1/2) of the self-consistent field SCF and correlation energies

  17. National Energy Software Center: benchmark problem book. Revision

    SciTech Connect (OSTI)

    none,

    1985-12-01

    Computational benchmarks are given for the following problems: (1) Finite-difference, diffusion theory calculation of a highly nonseparable reactor, (2) Iterative solutions for multigroup two-dimensional neutron diffusion HTGR problem, (3) Reference solution to the two-group diffusion equation, (4) One-dimensional neutron transport transient solutions, (5) To provide a test of the capabilities of multi-group multidimensional kinetics codes in a heavy water reactor, (6) Test of capabilities of multigroup neutron diffusion in LMFBR, and (7) Two-dimensional PWR models.

  18. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul

    2007-01-01

    Title 24 2005. California’s Energy Efficiency Standards forDepartment of Energy Energy Efficiency and Renewable Energyexplicit goals for energy efficiency in their facilities.

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

    E-Print Network [OSTI]

    Data Center Energy Benchmarking: Part 3 - Case Study on an IT Equipment-testing Center (No. 20 .............................................................................................. 12 4.3 DATA CENTER SPACE AIR TEMPERATURE AND RELATIVE HUMIDITY Summary The data center in this study had a total floor area of 3,024 square feet (ft2 ) with one

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

    E-Print Network [OSTI]

    Data Center Energy Benchmarking: Part 1 - Case Studies on Two Co-location Data Centers (No. 16 Centers # 16 and #17 were located in a four-story building in San Francisco, California. The data center area. Two out of eight data centers in the building were occupied by computers and equipment, and were

  1. Cleanroom energy benchmarking in high-tech and biotech industries

    E-Print Network [OSTI]

    Tschudi, William; Benschine, Kathleen; Fok, Stephen; Rumsey, Peter

    2001-01-01

    comparisons of energy per square foot are of little valueAnnual Energy Cost per Cleanroom Square Foot Annual Fuel

  2. 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

    2005-10-15

    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.

  3. 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

    2008-07-30

    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.

  4. Strategies for energy benchmarking in cleanrooms and laboratory-type facilities

    SciTech Connect (OSTI)

    Sartor, Dale; Piette, Mary Ann; Tschudi, William; Fok, Stephen

    2000-06-01

    Buildings with cleanrooms and laboratories are growing in terms of total floor area and energy intensity. This building type is common in institutions such as universities and in many industries such as microelectronics and biotechnology. These buildings, with high ventilation rates and special environmental considerations, consume from 4 to 100 times more energy per square foot than conventional commercial buildings. Owners and operators of such facilities know they are expensive to operate, but have little way of knowing if their facilities are efficient or inefficient. A simple comparison of energy consumption per square foot is of little value. A growing interest in benchmarking is also fueled by: A new U.S. Executive Order removing the exemption of federal laboratories from energy efficiency goals, setting a 25% savings target, and calling for baseline guidance to measure progress; A new U.S. EPA and U.S. DOE initiative, Laboratories for the 21st Century, establishing voluntary performance goals and criteria for recognition; and A new PG and E market transformation program to improve energy efficiency in high tech facilities, including a cleanroom energy use benchmarking project. This paper identifies the unique issues associated with benchmarking energy use in high-tech facilities. Specific options discussed include statistical comparisons, point-based rating systems, model-based techniques, and hierarchical end-use and performance-metrics evaluations.

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

    E-Print Network [OSTI]

    Tunnessen, W.

    2010-01-01

    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...

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

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

    Adoption (Presentation) H2 and You: The Hydrogen Education Foundation's Outreach Program (Presentation) Energy Storage Systems 2012 Peer Review Presentations - Day 1, Session 3...

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n cEnergyNaturaldefinesMay 4,of EnergyFaultNA NA NADepartment of

  8. Post Secondary Project Performance Benchmarks | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuilding energyDepartment of Energy PortsmouthWasteDepartmentPost

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

    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 on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementofAprilofEnergyEnSysEnergyBuildings

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

    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 on Delicious Rank EERE:FinancingPetroleum Based|DepartmentStatementofAprilofEnergyEnSysEnergyBuildingsDepartment of

  11. Benchmarks used

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

    a set of benchmarks described below, different optimization options for the different compilers on Edison. The compilers are also compared against one another on the benchmarks....

  12. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n cEnergyNaturaldefinesMay 4,ofLeifer U.S. DepartmentDei,The Federalthe

  13. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePowerEdisto Electric Coop, Inc JumpElko,ServiziEnergyIndex (EDI) JumpEnergy

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i pStateDOE FederalThe DepartmentEnergy TransfersViolatingDepartment

  15. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing Programs | Department of Energyof EnergyDepartment

  16. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul

    2007-01-01

    References 1. ASHRAE/ANSI/IESNA Standard 90.1: EnergyA B S F O R T H E 2 1 S T 5. ANSI/AIHA Z9.5-2003. “AmericanAssociation. 12. ASHRAE/ANSI/IESNA Standard 55: Thermal

  17. Public Housing Project Performance Benchmarks | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested PartiesBuildingBudget || Department ofDepartment ofNuclear Damage2002 |Public

  18. 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 Data Center Home Page on Delicious RankADVANCEDInstallers/ContractorsPhotovoltaics »TanklessResearchEnergy TestTesting Subgroup Workshop

  19. K-12 Schools Project Performance Benchmarks | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPA Public CommentInverted Attic9: HSS/9/09

  20. 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 on Delicious Rank EERE: Alternative FuelsofProgram:Y-12Power, Inc |Bartlesville EnergyDepartmentonPersistent,EV and

  1. State and Local Energy Benchmarking and Disclosure Policy | 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 Data Center Home Page on Delicious Rank EERE:Financing Tool FitsProjectDataSecretaryDepartment7 Annual2InformationState Energy|Review

  2. Benchmark the Fuel Cost of Steam Generation | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De p uBUSEnergy CyberDepartmentonNatural ResoursesImperial

  3. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematicsEnergyInterested Parties - WAPAEnergy6-09.docAERMOD-PRIME, UnitsMonisha Shah

  4. 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)

    SciTech Connect (OSTI)

    Xu, Tengfang [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Flapper, Joris [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Ke, Jing [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Kramer, Klaas [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Sathaye, Jayant [Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)

    2012-02-01

    The overall goal of the project is to develop a computer-based benchmarking and energy and water savings tool (BEST-Dairy) for use in the California dairy industry - including four dairy processes - cheese, fluid milk, butter, and milk powder. BEST-Dairy tool developed in this project provides three options for the user to benchmark each of the dairy product included in the tool, with each option differentiated based on specific detail level of process or plant, i.e., 1) plant level; 2) process-group level, and 3) process-step level. For each detail level, the tool accounts for differences in production and other variables affecting energy use in dairy processes. The dairy products include cheese, fluid milk, butter, milk powder, etc. The BEST-Dairy tool can be applied to a wide range of dairy facilities to provide energy and water savings estimates, which are based upon the comparisons with the best available reference cases that were established through reviewing information from international and national samples. We have performed and completed alpha- and beta-testing (field testing) of the BEST-Dairy tool, through which feedback from voluntary users in the U.S. dairy industry was gathered to validate and improve the tool's functionality. BEST-Dairy v1.2 was formally published in May 2011, and has been made available for free downloads from the internet (i.e., http://best-dairy.lbl.gov). A user's manual has been developed and published as the companion documentation for use with the BEST-Dairy tool. In addition, we also carried out technology transfer activities by engaging the dairy industry in the process of tool development and testing, including field testing, technical presentations, and technical assistance throughout the project. To date, users from more than ten countries in addition to those in the U.S. have downloaded the BEST-Dairy from the LBNL website. It is expected that the use of BEST-Dairy tool will advance understanding of energy and water usage in individual dairy plants, augment benchmarking activities in the market places, and facilitate implementation of efficiency measures and strategies to save energy and water usage in the dairy industry. Industrial adoption of this emerging tool and technology in the market is expected to benefit dairy plants, which are important customers of California utilities. Further demonstration of this benchmarking tool is recommended, for facilitating its commercialization and expansion in functions of the tool. Wider use of this BEST-Dairy tool and its continuous expansion (in functionality) will help to reduce the actual consumption of energy and water in the dairy industry sector. The outcomes comply very well with the goals set by the AB 1250 for PIER program.

  5. 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

    2012-01-01

    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.

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

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    source energy for each energy stream. Units: kBTU/ft 2 [kWh/Labs21 benchmarking tool. Energy Stream Electricity Natural

  7. 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.

    2012-09-01

    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.

  8. 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

  9. 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

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

    E-Print Network [OSTI]

    Rainer, David

    2012-01-01

    CONSERVATION: CHH1ICAL CONTAMINATION OF HOSPITAL AIR na 1CONSERVATION CHEMICAL CONTAMINATION OF HOSPITAL AIR DavidCONSERVATION: CHEMICAL CONTAMINATION OF HOSPITAL AIR FINAL

  11. HOSPITAL VENTILATION STANDARDS AND ENERGY CONSERVATION: A REVIEW OF GOVERNMENTAL AND PRIVATE AGENCY ENERGY CONSERVATION INITIATIVES

    SciTech Connect (OSTI)

    Banks, Robert S.; Rainer, David

    1980-03-01

    This report presents the results of a recent research project originally concerned with review of governmental initiatives for changes to hospital design and operation standards at both the federal and state levels. However. it quickly became apparent that concern with energy conservation was not impacting hospital environmental standards, especially at the state level, irrespective of the energy implications. Consequently, the study was redirected to consider all energy conservation initiatives directed toward design and operating practices unique to the hospital environment. The scope was limited to agency programs (i.e., not undertaken at the initiative of individual hospitals), applicable to non-federal public and private hospitals.

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

    SciTech Connect (OSTI)

    Mathew, Paul; Greenberg, Steve; Ganguly, Srirupa; Sartor, Dale; Tschudi, William

    2009-04-01

    Data centers are among the most energy intensive types of facilities, and they are growing dramatically in terms of size and intensity [EPA 2007]. As a result, in the last few years there has been increasing interest from stakeholders - ranging from data center managers to policy makers - to improve the energy efficiency of data centers, and there are several industry and government organizations that have developed tools, guidelines, and training programs. There are many opportunities to reduce energy use in data centers and benchmarking studies reveal a wide range of efficiency practices. Data center operators may not be aware of how efficient their facility may be relative to their peers, even for the same levels of service. Benchmarking is an effective way to compare one facility to another, and also to track the performance of a given facility over time. Toward that end, this article presents the key metrics that facility managers can use to assess, track, and manage the efficiency of the infrastructure systems in data centers, and thereby identify potential efficiency actions. Most of the benchmarking data presented in this article are drawn from the data center benchmarking database at Lawrence Berkeley National Laboratory (LBNL). The database was developed from studies commissioned by the California Energy Commission, Pacific Gas and Electric Co., the U.S. Department of Energy and the New York State Energy Research and Development Authority.

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

    SciTech Connect (OSTI)

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

    2010-09-01

    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.

  14. Data-Driven Benchmarking of Building Energy Efficiency Utilizing Statistical Frontier Models

    SciTech Connect (OSTI)

    Kavousian, A; Rajagopal, R

    2014-01-01

    Frontier methods quantify the energy efficiency of buildings by forming an efficient frontier (best-practice technology) and by comparing all buildings against that frontier. Because energy consumption fluctuates over time, the efficiency scores are stochastic random variables. Existing applications of frontier methods in energy efficiency either treat efficiency scores as deterministic values or estimate their uncertainty by resampling from one set of measurements. Availability of smart meter data (repeated measurements of energy consumption of buildings) enables using actual data to estimate the uncertainty in efficiency scores. Additionally, existing applications assume a linear form for an efficient frontier; i.e.,they assume that the best-practice technology scales up and down proportionally with building characteristics. However, previous research shows that buildings are nonlinear systems. This paper proposes a statistical method called stochastic energy efficiency frontier (SEEF) to estimate a bias-corrected efficiency score and its confidence intervals from measured data. The paper proposes an algorithm to specify the functional form of the frontier, identify the probability distribution of the efficiency score of each building using measured data, and rank buildings based on their energy efficiency. To illustrate the power of SEEF, this paper presents the results from applying SEEF on a smart meter data set of 307 residential buildings in the United States. SEEF efficiency scores are used to rank individual buildings based on energy efficiency, to compare subpopulations of buildings, and to identify irregular behavior of buildings across different time-of-use periods. SEEF is an improvement to the energy-intensity method (comparing kWh/sq.ft.): whereas SEEF identifies efficient buildings across the entire spectrum of building sizes, the energy-intensity method showed bias toward smaller buildings. The results of this research are expected to assist researchers and practitioners compare and rank (i.e.,benchmark) buildings more robustly and over a wider range of building types and sizes. Eventually, doing so is expected to result in improved resource allocation in energy-efficiency programs.

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

    E-Print Network [OSTI]

    Severson, D. S.

    1996-01-01

    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...

  16. Nuclear Energy Readiness Indicator Index (NERI): A benchmarking tool for assessing nuclear capacity in developing countries

    SciTech Connect (OSTI)

    Saum-Manning,L.

    2008-07-13

    Declining natural resources, rising oil prices, looming climate change and the introduction of nuclear energy partnerships, such as GNEP, have reinvigorated global interest in nuclear energy. The convergence of such issues has prompted countries to move ahead quickly to deal with the challenges that lie ahead. However, developing countries, in particular, often lack the domestic infrastructure and public support needed to implement a nuclear energy program in a safe, secure, and nonproliferation-conscious environment. How might countries become ready for nuclear energy? What is needed is a framework for assessing a country's readiness for nuclear energy. This paper suggests that a Nuclear Energy Readiness Indicator (NERI) Index might serve as a meaningful basis for assessing a country's status in terms of progress toward nuclear energy utilization under appropriate conditions. The NERI Index is a benchmarking tool that measures a country's level of 'readiness' for nonproliferation-conscious nuclear energy development. NERI first identifies 8 key indicators that have been recognized by the International Atomic Energy Agency as key nonproliferation and security milestones to achieve prior to establishing a nuclear energy program. It then measures a country's progress in each of these areas on a 1-5 point scale. In doing so NERI illuminates gaps or underdeveloped areas in a country's nuclear infrastructure with a view to enable stakeholders to prioritize the allocation of resources toward programs and policies supporting international nonproliferation goals through responsible nuclear energy development. On a preliminary basis, the indicators selected include: (1) demonstrated need; (2) expressed political support; (3) participation in nonproliferation and nuclear security treaties, international terrorism conventions, and export and border control arrangements; (4) national nuclear-related legal and regulatory mechanisms; (5) nuclear infrastructure; (6) the utilization of IAEA technical assistance; (7) participation in regional arrangements; and (8) public support for nuclear power. In this paper, the Index aggregates the indicators and evaluates and compares the level of readiness in seven countries that have recently expressed various degrees of interest in establishing a nuclear energy program. The NERI Index could be a valuable tool to be utilized by: (1) country officials who are considering nuclear power; (2) the international community, desiring reassurance of a country's capacity for the peaceful, safe, and secure use of nuclear energy; (3) foreign governments/NGO's, seeking to prioritize and direct resources toward developing countries; and (4) private stakeholders interested in nuclear infrastructure investment opportunities.

  17. 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.

    2013-06-01

    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).

  18. Energy-Efficiency Technologies and Benchmarking the Energy Intensity for the Textile Industry

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2014-01-01

    Hasanbeigi, A. , 2010. Energy-Efficiency Improvementchina.lbl.gov/publications/energy- efficiency-improvement-T.C. ; Chen, H.W. , 2010. Energy conservation potential in

  19. Energy-Efficiency Technologies and Benchmarking the Energy Intensity for the Textile Industry

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2014-01-01

    K. , 2010. Development of alternative energy sources for GHGthe development of alternative energy in the textilethree alternative indicators to measure energy-efficiency

  20. Benchmarking and Transparency Policy and Program Impact Evaluation...

    Office of Environmental Management (EM)

    the Impact of Benchmarking & Transparency - Methodologies and the NYC Example New York City Benchmarking and Transparency Policy Impact Evaluation Report Building Energy...

  1. 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

    2013-01-01

    2008. The 2008 Buildings Energy Data Book. Office of Energycompiled dairy production and energy data through performingavailable production and energy data to characterize energy

  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

    2013-01-01

    they could trim costs by saving energy and water. Journalfor annual energy savings, energy costs savings, waterReport for DOE-Sponsored Energy Savings Assessment Conducted

  3. 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

    2013-01-01

    Voortgangsrapportage MJA Energie-efficiency ZUIVELINDUSTRIEVoortgangsrapportage MJA Energie-efficiency ZUIVELINDUSTRIE

  4. 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

    2013-01-01

    EIIp) values based upon primary energy use and product mixeslevel. Fj,p = Reference primary energy use for fuel j basedfinal energy use to primary energy EIIp = Primary energy

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

    E-Print Network [OSTI]

    LBNL-3393E Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions Paul Mathew (CEC), and by the U.S. Department of Energy, under Contract No. DE-AC02- 05CH11231. #12;Data Center ........................................................................................................3 3. Overall Data Center Performance Metrics

  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

    2013-01-01

    8 Characterization of energy usage in existing markets and26 Characterization of energy usage in existing markets andregional production and energy usage in butter, concentrated

  7. 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

    2013-01-01

    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.

  8. 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

    2013-01-01

    milk production . Global energy consumption in industrialglobal and regional production and energy usage in butter, concentrated milk, milk powder, and whey powder sectors . 46 Specific energy consumptionglobal cheese production and data availability. Table 2 shows production and energy consumption

  9. 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.

  10. 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

    2013-01-01

    level. PESj = Potential Energy Savings for fuel j. PESp=calculates the potential energy savings for fuel j within afuel j Using the lowest SEC as the baseline reference, we can estimate potential energy

  11. 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

    2013-01-01

    for hygiene processes that uses both thermal energy ande.g. , CIP). Thermal energy is used in processes such asThermal energy (e.g. , natural gas) is used in processes

  12. 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

    2013-01-01

    Statistics Denmark 2009b). Table 3 shows comparable information on cheese production and energy consumption

  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

    2013-01-01

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

  14. 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

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

    Office of Environmental Management (EM)

    on its energy bills. Gundersen is investing in renewable energy solutions, including a biogas generator that uses methane from a local landfill to produce over 8 million kWh of...

  16. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research at NREL Advanced PetroleumDepartment ofvariableBenchmarking

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

    Energy Savers [EERE]

    commercial office buildings, producing more than 30 pounds of CO2 emissions per square foot. Reducing the energy intensity of this sector will decrease its carbon footprint and...

  18. 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

    2013-01-01

    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

  19. 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

    2013-01-01

    a calculator developed for unit conversions that are desireduse of energy and water unit conversion. The BEST-Dairy toolwe have developed a "Unit Conversion Calculator" for your

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

    Office of Environmental Management (EM)

    bills. Gundersen is investing in renewable energy solutions, including a biogas generator that uses methane from a local landfill to produce over 8 million kWh of electricity...

  1. 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

    2013-01-01

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    1993. Present and Future Energy Use of Energy in the Cement1993. Present and Future Energy Use of Energy in the Cement1993. Present and Future Energy Use of Energy in the Cement

  3. 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

    2013-01-01

    2008. The 2008 Buildings Energy Data Book. Office of Energycompiled dairy production and energy data through performingavailable production and energy data to characterize energy

  4. 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

    2013-01-01

    they could trim costs by saving energy and water. Journalfor annual energy savings, energy costs savings, wateron quantified savings potential and energy efficiency

  5. Benchmarking and Data Analysis 

    E-Print Network [OSTI]

    Williams, K.

    2014-01-01

    Kellie Williams | Houston ISD ESL-KT-14-11-14 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Benchmarking ? Process of comparing data sets ? Baselines, Goals, KPIs ? Energy Star Portfolio Manager ESL-KT-14-11-14 CATEE 2014... 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Bridge the Gap Codification ? Databases ? Document driven ? Classifying and sorting information Personalization ? Links people and ideas ? Meetings ? Focused on individual...

  6. 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

    2013-01-26

    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.

  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

    2013-01-01

    Voortgangsrapportage MJA Energie-efficiency ZUIVELINDUSTRIEVoortgangsrapportage MJA Energie-efficiency ZUIVELINDUSTRIE

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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...

  14. Strategies for energy benchmarking in cleanrooms and laboratory-type facilities

    E-Print Network [OSTI]

    Sartor, Dale; Piette, Mary Ann; Tschudi, William; Fok, Stephen

    2000-01-01

    4 to 100 times more energy per square foot than conventionalcomparison of energy consumption per square foot is ofbeyond total energy use per square foot. Frequently owners

  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

    2013-01-01

    8 Characterization of energy usage in existing markets and26 Characterization of energy usage in existing markets andregional production and energy usage in butter, concentrated

  16. Strategies for energy benchmarking in cleanrooms and laboratory-type facilities

    E-Print Network [OSTI]

    Sartor, Dale; Piette, Mary Ann; Tschudi, William; Fok, Stephen

    2000-01-01

    Summer Study on Energy Efficiency in Buildings. See EnergySummer Study on Energy Efficiency in Buildings, 4, 321-329.Summer Study on Energy Efficiency in Buildings, August 20-

  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

    2013-01-01

    milk production . Global energy consumption in industrialglobal and regional production and energy usage in butter, concentrated milk, milk powder, and whey powder sectors . 46 Specific energy consumptionglobal cheese production and data availability. Table 2 shows production and energy consumption

  18. 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

    2009-09-01

    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.

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

    E-Print Network [OSTI]

    Matson, Nance E.; Piette, Mary Ann

    2005-01-01

    EUIs (less energy consumption per square foot per year),Building energy usage is normalized per square foot perBuilding energy usage is normalized per square foot per

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

    E-Print Network [OSTI]

    Matson, Nance E.; Piette, Mary Ann

    2005-01-01

    to compare a given building’s energy performance to that ofof a given building’s energy performance based on thetheir building’s energy use intensities and performance to

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    Concepts of Waste Heat Recovery in Cement Plants EnergyM. 1990. Waste Gas Heat Recovery in Cement Plants EnergyConcepts of Waste Heat Recovery in Cement Plants Energy

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    S. , 1990. Energy Outlook in West Germany’s Cement Industry.imported from Germany and/or Japan. 1 Energy/Environment/® Energy Converter at the Lengfurt Cement, Germany, image

  3. 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

    2013-01-01

    level. PESj = Potential Energy Savings for fuel j. PESp=calculates the potential energy savings for fuel j within afuel j Using the lowest SEC as the baseline reference, we can estimate potential energy

  4. 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

    2013-01-01

    55 Figure 7 Primary energy use per kg of raw milk (ERM) of15 Table 5 Average primary energy breakdown for cheese53 Table 21 Primary energy breakdown for milk powder plants

  5. 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

    2013-01-01

    for hygiene processes that uses both thermal energy ande.g. , ,CIP). Thermal energy is used in processes such asThermal energy (e.g. , natural gas) is used in processes

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    potential for annual energy savings (both for electricity and fuel)potential for annual energy savings (both for electricity and fuel)

  7. 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.

    1988-01-01

    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...

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    energy (electricity includes transmission and generationenergy (electricity includes transmission and generationenergy (electricity includes transmission and generation

  9. 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

    2013-01-01

    Statistics Denmark 2009b). Table 3 shows comparable information on cheese production and energy consumption

  10. 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

    2013-01-01

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

  11. 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

    2014-08-29

    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.

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    Concepts of Waste Heat Recovery in Cement Plants EnergyM. 1990. Waste Gas Heat Recovery in Cement Plants EnergyDiagram or Photo: Waste heat recovery at cement plant, image

  13. 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...

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

    E-Print Network [OSTI]

    McKenzie, Jeffrey M.

    Groundwater flow with energy transport and water­ice phase change: Numerical simulations saturated, coupled porewater-energy transport, with freezing and melting porewater, and includes propor for groundwater and energy transport with ice formation and melting are proposed that may be used by other

  15. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof Energy Moving Basic NERSC Training at8 Benchmarks NERSC-8

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    Concepts of Waste Heat Recovery in Cement Plants EnergyM. 1990. Waste Gas Heat Recovery in Cement Plants Energyleading to increased heat recovery efficiency and reduced

  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

    2013-01-01

    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

  18. 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

    2013-01-01

    a calculator developed for unit conversions that are desireduse of energy and water unit conversion. The BEST-Dairy toolwe have developed a "Unit Conversion Calculator" for your

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

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    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

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

    E-Print Network [OSTI]

    Galitsky, Christina

    2009-01-01

    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

  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

    2005-01-01

    costs of the pump. Maintenance costs compose the remainingpump system. Energy costs, and sometimes operations and maintenance costs,maintenance costs. According to inventory data collected by Xenergy (1998), 82% of pumps

  2. 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

    2013-01-01

    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)

  3. 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 ...

  4. Review of the GMD Benchmark Event in TPL-007-1 | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy AEnergyPresidentialThis 3-DMarchLLC OpenDepartmentEnergyEmergency

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

    E-Print Network [OSTI]

    Xu, Tengfang; Greenberg, Steve

    2007-01-01

    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

  6. 978-3-901882-70-8 c 2015 IFIP Towards Energy Benchmarking for Green Video

    E-Print Network [OSTI]

    Bhatti, Saleem N.

    users. Some estimates suggest that the Internet is responsible for up to 4% of the world's CO2 emissions is a source of concern for several stakeholders ­ researchers, industry practitioners, governments and end carbon emissions. There is the danger that the energy consumption by digital video on these non

  7. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental Jump to:EA EIS ReportEurope GmbHSoloPageBeforeCreek Wind Farm Jump to:StormHospital

  8. Analytic Methods for Benchmarking Hydrogen and Fuel Cell Technologies; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Melaina, Marc; Saur, Genevieve; Ramsden, Todd; Eichman, Joshua

    2015-05-28

    This presentation summarizes NREL's hydrogen and fuel cell analysis work in three areas: resource potential, greenhouse gas emissions and cost of delivered energy, and influence of auxiliary revenue streams. NREL's hydrogen and fuel cell analysis projects focus on low-­carbon and economic transportation and stationary fuel cell applications. Analysis tools developed by the lab provide insight into the degree to which bridging markets can strengthen the business case for fuel cell applications.

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

    SciTech Connect (OSTI)

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

    2014-09-04

    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).

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

    SciTech Connect (OSTI)

    Xu, Tengfang; Greenberg, Steve

    2007-07-01

    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.

  11. 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 Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICE INDUSTRIALU.S.Leadership on Clean EnergysR&D RoadmapPart of a

  12. 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.

    2010-03-01

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

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

    SciTech Connect (OSTI)

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

    2008-02-01

    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.

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

    SciTech Connect (OSTI)

    Xu, Tengfang; Greenberg, Steve

    2007-08-01

    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.

  15. Benchmark Test of Differential Emission Measure Codes and Multi-Thermal Energies in Solar Active Regions

    E-Print Network [OSTI]

    Aschwanden, M J; Caspi, A; McTiernan, J M; Ryan, D; Warren, H P

    2015-01-01

    We compare the ability of 11 Differential Emission Measure (DEM) forward-fitting and inversion methods to constrain the properties of active regions and solar flares by simulating synthetic data using the instrumental response functions of SDO/AIA, SDO/EVE, RHESSI, and GOES/XRS. The codes include the single-Gaussian DEM, a bi-Gaussian DEM, a fixed-Gaussian DEM, a linear spline DEM, the spatial synthesis DEM, the Monte-Carlo Markov chain DEM, the regularized DEM inversion, the Hinode/XRT method, a polynomial spline DEM, an EVE+GOES, and an EVE+RHESSI method. Averaging the results from all 11 DEM methods, we find the following accuracies in the inversion of physical parameters: the EM-weighted temperature $T_w^{fit}/T_w^{sim}=0.9\\pm0.1$, the peak emission measure $EM_p^{fit}/EM_p^{sim}=0.6\\pm0.2$, the total emission measure $EM_t^{fit}/EM_t^{sim}=0.8\\pm0.3$, and the multi-thermal energies $E_{th}^{fit}/EM_{th}^{sim}=1.2\\pm0.4$. We find that the AIA spatial synthesis, the EVE+GOES, and the EVE+RHESSI method yiel...

  16. Radiation Detection Computational Benchmark Scenarios

    SciTech Connect (OSTI)

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

    2013-09-24

    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.

  17. 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.

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

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2011-01-17

    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.

  19. Benchmark atomization energy of ethane : importance of accurate zero-point vibrational energies and diagonal Born-Oppenheimer corrections for a 'simple' organic molecule.

    SciTech Connect (OSTI)

    Karton, A.; Martin, J. M. L.; Ruscic, B.; Chemistry; Weizmann Institute of Science

    2007-06-01

    A benchmark calculation of the atomization energy of the 'simple' organic molecule C2H6 (ethane) has been carried out by means of W4 theory. While the molecule is straightforward in terms of one-particle and n-particle basis set convergence, its large zero-point vibrational energy (and anharmonic correction thereto) and nontrivial diagonal Born-Oppenheimer correction (DBOC) represent interesting challenges. For the W4 set of molecules and C2H6, we show that DBOCs to the total atomization energy are systematically overestimated at the SCF level, and that the correlation correction converges very rapidly with the basis set. Thus, even at the CISD/cc-pVDZ level, useful correlation corrections to the DBOC are obtained. When applying such a correction, overall agreement with experiment was only marginally improved, but a more significant improvement is seen when hydrogen-containing systems are considered in isolation. We conclude that for closed-shell organic molecules, the greatest obstacles to highly accurate computational thermochemistry may not lie in the solution of the clamped-nuclei Schroedinger equation, but rather in the zero-point vibrational energy and the diagonal Born-Oppenheimer correction.

  20. ICSBEP Benchmarks For Nuclear Data Applications

    SciTech Connect (OSTI)

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

    2005-05-24

    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.

  1. Energy Use and Costs in Texas Schools and Hospitals 

    E-Print Network [OSTI]

    Dunn, J. R.

    1998-01-01

    demand charges, monthly natural gas consumed, monthly total natural gas costs, and total facility conditioned area. From this data, the monthly and annual energy use and cost performance of the facility is presented with the calculation of 10 use and cost...

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

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    wp/wp_outsideair.asp Data Center Benchmarking GuidedP6 Average Lighting Power Data Center Benchmarking Guide 8.Conditioning Engineers, Inc. Data Center Profiling tool “DC

  3. Thermal Performance Benchmarking (Presentation)

    SciTech Connect (OSTI)

    Moreno, G.

    2014-11-01

    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.

  4. Lessons Learned: Measuring Program Outcomes and Using Benchmarks

    Broader source: Energy.gov [DOE]

    Lessons Learned: Measuring Program Outcomes and Using Benchmarks, a presentation on August 21, 2013 by Dale Hoffmeyer, U.S. Department of Energy.

  5. 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.

  6. Action-Oriented Benchmarking: Concepts and Tools

    SciTech Connect (OSTI)

    California Energy Commission; Mathew, Paul; Mills, Evan; Mathew, Paul; Piette, Mary Ann; Bourassa, Norman; Brook, Martha

    2008-02-13

    Most energy benchmarking tools provide static feedback on how one building compares to a larger set of loosely similar buildings, without providing information at the end-use level or on what can be done to reduce consumption, cost, or emissions. In this article--Part 1 of a two-part series--we describe an 'action-oriented benchmarking' approach, which extends whole-building energy benchmarking to include analysis of system and component energy use metrics and features. Action-oriented benchmarking thereby allows users to generate more meaningful metrics and to identify, screen and prioritize potential efficiency improvements. This opportunity assessment process can then be used to inform and optimize a full-scale audit or commissioning process. We introduce a new web-based action-oriented benchmarking system and associated software tool-EnergyIQ. The benchmarking methods, visualizations, and user interface design are informed by an end-user needs assessment survey and best-practice guidelines from ASHRAE.

  7. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n cEnergy (AZ, CA,EnergystudentThis document gives anSTAR ® Portfolio

  8. Verification and validation benchmarks.

    SciTech Connect (OSTI)

    Oberkampf, William Louis; Trucano, Timothy Guy

    2007-02-01

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

  9. Benchmarking, BOMA BESt and BBEER 

    E-Print Network [OSTI]

    Smiciklas, J.

    2013-01-01

    ?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 Set...

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

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

    E-Print Network [OSTI]

    Mathew, Paul

    2009-01-01

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

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

    E-Print Network [OSTI]

    Mathew, Paul A.

    2010-01-01

    based method uses an EnergyPlus model to generate aBenchmarking using Labs21 EnergyPlus model A simulation-this approach using an EnergyPlus model for generating the

  13. 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

    2010-01-01

    based method uses an EnergyPlus model to generate aBenchmarking Using Labs21 EnergyPlus Model A simulation-this approach using an EnergyPlus model for generating the

  14. 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.

    2012-10-09

    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.

  15. 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.

    2014-01-01

    2010 ACEEE Summer Study of Energy Efficiency in Buildings.Concepts and Tools." Energy Engineering. Volume 105, NumberU.S. Department of Energy. (2010). “ARRA Commercial Building

  16. 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.

    2014-01-01

    contractor provides and finances energy improvements and isare three main ways to finance energy efficiency projects:use internal funds to finance energy-efficiency projects

  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.

    2014-01-01

    Study of Energy Efficiency in Buildings. ACEEE, Washington,3)Financing Your Energy Efficiency Projects Building Energywith  Commercial   Building  Energy  Efficiency   Provide  

  18. 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.

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

    E-Print Network [OSTI]

    Kamph, Jerome Henri

    2010-01-01

    Act of 2007, the ”Zero-Net-Energy Commercial Buildingsfrom 2030 will be a Zero-Net-Energy building. Similarly, thebuildings can be Zero-Net-Energy by 2020 for residences and

  20. 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

    2008-01-01

    for industrial cross - cutting energy systems (motor -energy efficiency of existing, cross-cutting industrial systems (motor-industrial cross-cutting systems (motor-driven, steam, process heating) continue to offer significant opportunities for energy

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

    E-Print Network [OSTI]

    Kamph, Jerome Henri

    2010-01-01

    world applications using EnergyPlus J´ rˆ me Henri K¨ mpfalgorithm; application using EnergyPlus; Covariance MatrixBradley & Kummert, 2005) and EnergyPlus (ENE, 2009). When it

  2. Accelerated Randomized Benchmarking

    E-Print Network [OSTI]

    Christopher Granade; Christopher Ferrie; D. G. Cory

    2014-09-24

    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.

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

    E-Print Network [OSTI]

    Pala, Nezih

    with a score of 61.9590 kBTU per square foot. (The Environmental Protection Agency established kBTU per square foot as the key performance indicator for energy efficiency in its Energy Star rating program.) However INTO A NET-ZERO-ENERGY BUILDING (NET-ZEB) Thomas Spiegelhalter Florida International University

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

    E-Print Network [OSTI]

    Mathew, Paul

    2009-01-01

    Outside Air Economizers In Data Center Environments. ” Whiteproductivity metrics (e.g. Data Center energy Productivity (kinds of work done in a data center and identify appropriate

  5. 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.

    2014-01-01

    energy model output includes a predicted British thermal unit (Btu) per square footenergy use intensity (EUI) metric such as a thousand Btu per square foot (per square foot (kWh/sf) (or another useful metric) will allow you better assess changes in energy

  6. Building America Research Benchmark Definition: Updated December 2009

    SciTech Connect (OSTI)

    Hendron, R.; Engebrecht, C.

    2010-01-01

    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.'

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

    E-Print Network [OSTI]

    Freezing and thawing a b s t r a c t Numerous cold regions water flow and energy transport models have. Simulated and/or observed climate change impacts in cryogenic soils include permafrost degradation, active that include the dynamic freeze­thaw process have been tested against analytical solutions, such as the Neumann

  8. Healthcare Energy Efficiency Research and Development

    SciTech Connect (OSTI)

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

    2011-01-31

    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.

  9. Healthcare Energy Metering Guidance (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2011-07-01

    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.

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S.Week Day Year(activeInforumMILC The NERSC MILC Benchmark

  11. Decommissioning Benchmarking Study Final Report

    Office of Energy Efficiency and Renewable Energy (EERE)

    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...

  12. 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

    2007-08-01

    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.

  13. China Energy Group - Sustainable Growth Through Energy Efficiency

    E-Print Network [OSTI]

    2006-01-01

    Benchmarking and Energy Saving Tool (BEST) • Refining &a Benchmark- ing and Energy Saving Tool (BEST) to benchmarkto world best practice, examining energy efficiency trends

  14. Applications of Integral Benchmark Data

    SciTech Connect (OSTI)

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

    2014-10-09

    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.

  15. BASCin: Benchmark for Android from Santa Cruz

    E-Print Network [OSTI]

    Punniyakotti, Manikandan

    2012-01-01

    Implementation Android SDK Level . . . . . . . . . . . . . .CRUZ BASCin: Benchmark for Android from Santa Cruz A thesisA benchmark for Android. http://www.aurorasoftworks.com/

  16. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electricLaboratory |Education at U.S. Universities and Colleges

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergy A plug-in electric vehicle10nominate anDepartment ofTraining Materials

  18. Building America Research Benchmark Definition, Updated December 2009

    SciTech Connect (OSTI)

    Hendron, Robert; Engebrecht, Cheryn

    2010-01-01

    To track progress toward aggressive multi-year, whole-house energy savings goals of 40%–70% and on-site 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 (BA) Research Benchmark in consultation with the Building America industry teams.

  19. Strategic Behaviour under Regulation Benchmarking

    E-Print Network [OSTI]

    Jamasb, Tooraj; Nillesen, Paul; Pollitt, Michael G.

    2004-06-16

    and treat capital expenditures (CAPEX) outside of the benchmarking exercise or alternatively use total expenditures (TOTEX). This has implications for the possible strategic behaviour by firms. A firm may appear more efficient by reducing costs, as well... as by appearing larger in terms of higher output variables. For example, if the benchmarking model uses OPEX as input and network length or transformer capacity as output, and is given approval for expansion plans for increasing separately treated CAPEX, it can...

  20. Benchmarks for GADRAS performance validation.

    SciTech Connect (OSTI)

    Mattingly, John K.; Mitchell, Dean James; Rhykerd, Charles L., Jr.

    2009-09-01

    The performance of the Gamma Detector Response and Analysis Software (GADRAS) was validated by comparing GADRAS model results to experimental measurements for a series of benchmark sources. Sources for the benchmark include a plutonium metal sphere, bare and shielded in polyethylene, plutonium oxide in cans, a highly enriched uranium sphere, bare and shielded in polyethylene, a depleted uranium shell and spheres, and a natural uranium sphere. The benchmark experimental data were previously acquired and consist of careful collection of background and calibration source spectra along with the source spectra. The calibration data were fit with GADRAS to determine response functions for the detector in each experiment. A one-dimensional model (pie chart) was constructed for each source based on the dimensions of the benchmark source. The GADRAS code made a forward calculation from each model to predict the radiation spectrum for the detector used in the benchmark experiment. The comparisons between the GADRAS calculation and the experimental measurements are excellent, validating that GADRAS can correctly predict the radiation spectra for these well-defined benchmark sources.

  1. Access and Use Energy Data | Department of Energy

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

    effectiveness. The resources available here cover the following topics related to energy data management and evaluation. Benchmarking Benchmarking activities compare energy use...

  2. TAP Webinar: 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 will cover two DOE resources that help stakeholders analyze the energy, non-energy, and market transformation impacts of building energy benchmarking policies and programs.

  3. 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.

  4. 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

    2010-08-01

    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.

  5. Roberts: Reconfigurable Platform for Benchmarking Real-time Systems

    E-Print Network [OSTI]

    Luk, Wayne

    complex [2]. Distributed computing and multiprocess- ing complicate task, resource and communication-time properties and energy consumption. The benchmarking takes into account system workload and environmental-test, and with support for on-line monitoring of the response time, output values and energy consumption. The proposed

  6. Building Green in Greensburg: Kiowa County Memorial Hospital...

    Energy Savers [EERE]

    Kiowa County Memorial Hospital Building Green in Greensburg: Kiowa County Memorial Hospital This poster highlights energy efficiency, renewable energy, and sustainable features of...

  7. Subject Benchmark UK Quality Code for Higher Education

    E-Print Network [OSTI]

    Haase, Markus

    Subject Benchmark Statement UK Quality Code for Higher Education Part A: Setting and maintaining About Subject Benchmark Statements.................................................................................. 2 About this Subject Benchmark Statement

  8. 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

    2011-11-01

    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.

  9. Computational evaluation of two reactor benchmark problems 

    E-Print Network [OSTI]

    Cowan, James Anthony

    1998-01-01

    A neutronic evaluation of two reactor benchmark problems was performed. The benchmark problems describe typical PWR uranium and plutonium (mixed oxide) fueled lattices. WIMSd4m, a neutron transport lattice code, was used to evaluate multigroup...

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJesseworkSURVEYI/O Streams for Large-scale ScientificOregon Hospital Heats Up

  11. Benchmarking Nuclear Fission Theory

    E-Print Network [OSTI]

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

    2015-02-20

    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.

  12. Benchmarking Nuclear Fission Theory

    E-Print Network [OSTI]

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

    2015-01-01

    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.

  13. Regression Benchmarking with Simple Middleware Benchmarks Lubomr Bulej1,2

    E-Print Network [OSTI]

    Regression Benchmarking with Simple Middleware Benchmarks Lubomír Bulej1,2 , Tomás Kalibera1 , Petr.tuma}@mff.cuni.cz Abstract The paper introduces the concept of regression benchmarking as a variant of regression testing fo- cused at detecting performance regressions. Applying the regression benchmarking in the area of middle

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

    SciTech Connect (OSTI)

    Kahler, Albert C. III

    2012-06-28

    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).

  15. Benchmarking survey for recycling.

    SciTech Connect (OSTI)

    Marley, Margie Charlotte; Mizner, Jack Harry

    2005-06-01

    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.

  16. Benchmarking nuclear fission theory G F Bertsch1

    E-Print Network [OSTI]

    Bertsch George F.

    Note Benchmarking nuclear fission theory G F Bertsch1 , W Loveland2 , W Nazarewicz3,4 and P Talou5 characteristics, and fission isomer excitation energies. Keywords: fission, nuclear theory, fission data 1. Motivation Nuclear fission is a very complex process and its theory presents an enormous challenge. As Bohr

  17. Building America Research Benchmark Definition, Updated December 19, 2008

    SciTech Connect (OSTI)

    Hendron, R.

    2008-12-19

    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 Bui

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

    SciTech Connect (OSTI)

    Hendron, R.

    2008-12-01

    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.

  19. 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.

    2011-01-01

    67: 49-57, CANZLER, B. Air conditioning in the hospital. 39(CECCATELLI, M. Air conditioning plant for operating suites.1973. CLARK, R. P. Air conditioning in hospital wards and

  20. NERSC-5 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof Energy Moving Basic NERSC Training at SC11NERSCNERSC, LBL5

  1. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof Energy Moving Basic NERSC Training at

  2. Energy Information Handbook: Applications for Energy-Efficient Building Operations

    E-Print Network [OSTI]

    Granderson, Jessica

    2013-01-01

    and social sustainability performance. The Technicalsustainability reporting. Longitudinal Benchmarking: By comparing current energy performance

  3. Status report on a solar photovoltaic concentrating energy system for a hospital in Hawaii

    SciTech Connect (OSTI)

    Seki, A.; Curtis, G.; Yuen, P.

    1983-06-01

    The largest parabolic concentrating photovoltaic/solar thermal system in the U.S. began producing electricity and hot water for a hospital on the island of Kauai, Hawaii in November 1981. Each of the 80 parabolic collectors is 6 feet by 10 feet and concentrates incident sunlight on photovoltaic cells mounted on two faces of the receiver at the focus. Although the 35 kilowatt system has been designed to produce 22,000 net kilowatt-hours per year of electricity and 620,000 gallons of 180 F water, electrical output (12 to 15 kilowatt-hours per day) is only 20 percent of that expected, primarily because insolation at the site has been only 40 percent of predicted values. A second problem with fungal attack on the receivers has been solved by better sealing. The system has also withstood a hurricane with negligible damage.

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

    E-Print Network [OSTI]

    Wellford, B. W.

    2000-01-01

    Energy recovery ventilation systems, including rotary heat exchangers or enthalpy wheels, utilize mature technologies that are routinely applied in commercial buildings. Energy recovery is particularly important in buildings with significant outdoor...

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

    E-Print Network [OSTI]

    Xu, T.

    2011-01-01

    have access to more energy data details than plant level,have individual process-step energy data. (3) Process Levelyou have access to detail energy data for each process step.

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

    E-Print Network [OSTI]

    Kulkarni, Aditya Arun

    2012-02-14

    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...

  7. 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.

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

    SciTech Connect (OSTI)

    J. Blair Briggs; John D. Bess

    2011-08-01

    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.

  9. 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 HomeVehicle Replacement U.S. Residential and69 Energy7 Energy891

  10. 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 HomeVehicle Replacement U.S. Residential and69 Energy7 Energy8912

  11. 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 HomeVehicle Replacement U.S. Residential and69 Energy7 Energy89123

  12. 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 HomeVehicle Replacement U.S. Residential and69 Energy7 Energy891234

  13. 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 HomeVehicle Replacement U.S. Residential and69 Energy7 Energy8912345

  14. Method and system for benchmarking computers

    DOE Patents [OSTI]

    Gustafson, John L. (Ames, IA)

    1993-09-14

    A testing system and method for benchmarking computer systems. The system includes a store containing a scalable set of tasks to be performed to produce a solution in ever-increasing degrees of resolution as a larger number of the tasks are performed. A timing and control module allots to each computer a fixed benchmarking interval in which to perform the stored tasks. Means are provided for determining, after completion of the benchmarking interval, the degree of progress through the scalable set of tasks and for producing a benchmarking rating relating to the degree of progress for each computer.

  15. 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 HomeVehicle Replacement U.S. Residential and69 Energy7

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

    E-Print Network [OSTI]

    Xu, T.

    2011-01-01

    use of energy and water unit conversion. The BEST-Dairy toolwe have developed a "Unit Conversion Calculator" for yourmetric units. The "Unit Conversion Calculator" is available

  17. WASTES II model storage requirements benchmark testing

    SciTech Connect (OSTI)

    Shay, M.R.; Walling, R.C.; Altenhofen, M.K.

    1986-09-01

    A study was conducted to benchmark results obtained from using the Waste System Transportation and Economic Simulation - Version II (WASTES II) model against information published in the ''Spent Fuel Storage Requirements'' report (DOE/RL-84-1). The WASTES model was developed by PNL for use in evaluating the spent-fuel storage and transportation requirements and costs for the US Department of Energy (DOE). The ''Spent Fuel Storage Requirements'' report is issued annually by the DOE and provides both historical/projected spent fuel inventory data and storage requirements data based on information supplied directly from utilities. The objective of this study is to compare the total inventory and storage requirements documented in the ''Spent Fuel Storage Requirements'' report with similar data that results from use of the WASTES model. Three differences have been identified as a result of benchmark testing. Two minor differences are present in the total inventory projected and the equivalent metric tons of uranium of spent fuel requiring storage. These differences result from the way reinserted spent fuel is handled and the methods used to calculate mass equivalents. A third difference is found in the storage requirements for the case that uses intra-utility transshipment. This discrepancy is due to the Oyster Creek reactor, which is shown to not require additional storage in the Spent Fuel Storage Requirements report, even though there is no destination reactor of the same type within its utility. The discrepancy was corrected soon after the 1984 ''Spent Fuel Storage Requirements report was issued and does not appear in more recent documents (DOE/RL-85-2).

  18. Communication Characteristics in the NAS Parallel Benchmarks

    E-Print Network [OSTI]

    Communication Characteristics in the NAS Parallel Benchmarks Ahmad Faraj Xin Yuan Department-- In this paper, we investigate the communication characteris- tics of the Message Passing Interface (MPI) implementation of the NAS parallel benchmarks and study the effectiveness of com- piled communication for MPI

  19. COMPUTER POWER CONSUMPTION BENCHMARKING FOR GREEN COMPUTING

    E-Print Network [OSTI]

    Way, Thomas

    COMPUTER POWER CONSUMPTION BENCHMARKING FOR GREEN COMPUTING A Thesis Presented to the Faculty Computing Sciences Full Title of Thesis Computer Power Consumption Benchmarking for Green Computing Dr would like to thank my friend and colleague Christopher Continanza for our past collaborations on power

  20. Benchmarking and Evaluating Recongurable Architectures Targeting

    E-Print Network [OSTI]

    Luk, Wayne

    benchmarking suite that evaluates the power consumption of reconfigurable technology for applications targeting the mobile computing domain. This benchmark suite includes seven designs; one design targets fine-grained FPGA fabrics allowing for quick state- of-the-art evaluation, and six designs are specified at a high

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

    Energy Savers [EERE]

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

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

    Energy Savers [EERE]

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

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

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

    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....

  5. Benchmarking Outreach and Data Collection Techniques for External...

    Energy Savers [EERE]

    Benchmarking Outreach and Data Collection Techniques for External Portfolios Benchmarking Outreach and Data Collection Techniques for External Portfolios This presentation contains...

  6. Event Generator Benchmarking for Proton Radiography Applications

    E-Print Network [OSTI]

    Stepan G. Mashnik; Richard E. Prael; Arnold J. Sierk; Konstantin K. Gudima; Nikolai V. Mokhov

    2003-03-18

    We have benchmarked the QGSM code and event generators of the MARS and LAHET3 codes as potential candidates for high-energy programs to be used in simulations for the Proton Radiography (PRad) Project. We have compiled from the literature experimental data on spectra of particles emitted from proton-induced reactions at incident energies from 30 GeV to 70 GeV on different nuclei and have performed calculations for all reactions for which we found data with these three codes without any modifications and using only default parameters and standard inputs. Our results (514 plots) show that all three codes describe reasonably most of the studied reactions, though all of them should be further improved before becoming reliable tools for PRad. We present here our conclusions concerning the relative roles of different reaction mechanisms in the production of specific secondary particles. We comment on the strengths and weaknesses of QGSM, MARS, and LAHET3 and suggest further improvements to these codes and to other models.

  7. American Institute of Architects 2030 Commitment Enabled by Energy...

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

    by Energy IQ - 2014 BTO Peer Review More Documents & Publications AIA 2030 Commitment Portal Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey Draft...

  8. The BENCHMARK trademark code: Simulation of hourly generation: User's guide

    SciTech Connect (OSTI)

    Jenkins, R.T. (Tennessee Univ., Chattanooga, TN (USA). School of Engineering)

    1990-04-01

    BENCHMARK simulates generator commitment and dispatch hourly for periods extending from one week to one year. Its value to utilities stems from its accurate representation of operator strategies and generator operating constraints (including ramp rate limits, minimum operating levels, and minimum uptime and downtime). The availability of thermal units is either prespecified or determined by a Monte Carlo technique. The program can model a pump-storage or compressed-air energy storage facility, and can allocate hydroelectric energy over a multiweek interval. BENCHMARK can produce reports with detailed hourly data or summary reports for part or all of the simulation period. Results can be reported for individual units or for groups of units. It is also possible to produce a file of data for use with an external graphics program. BENCHMARK is written in FORTRAN and requires about 2-1/2 megabytes of core. Execution times per simulation week and per Monte Carlo replication vary from under 1 second of CPU time for systems without a storage facility to up to about 10 seconds for a large system with pumped storage.

  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)

    2012-07-01

    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. 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

  11. Comparing Apples to Apples: Benchmarking Electrocatalysts for...

    Office of Science (SC) Website

    Ave., SW Washington, DC 20585 P: (301) 903-3081 F: (301) 903-6594 E: Email Us More Information May 2015 Comparing Apples to Apples: Benchmarking Electrocatalysts for...

  12. Benchmarking Outreach and Data Collection Techniques for External Portfolios

    Broader source: Energy.gov [DOE]

    This presentation contains information on Benchmarking Outreach and Data Collection Techniques for External Portfolios.

  13. Mixed-Oxide (MOX) Fuel Performance Benchmarks

    SciTech Connect (OSTI)

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

    2008-01-01

    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

  14. Mixed-Oxide (MOX) Fuel Performance Benchmarks

    SciTech Connect (OSTI)

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

    2009-01-01

    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. Benchmarking calculations of excitonic couplings between bacteriochlorophylls

    E-Print Network [OSTI]

    Elise P. Kenny; Ivan Kassal

    2015-09-09

    Excitonic couplings between (bacterio)chlorophyll molecules are necessary for simulating energy transport in photosynthetic complexes. Many techniques for calculating the couplings are in use, from the simple (but inaccurate) point-dipole approximation to fully quantum-chemical methods. We compared several approximations to determine their range of applicability, noting that the propagation of experimental uncertainties poses a fundamental limit on the achievable accuracy. In particular, the uncertainty in crystallographic coordinates yields an uncertainty of about 20% in the calculated couplings. Because quantum-chemical corrections are smaller than 20% in most biologically relevant cases, their considerable computational cost is rarely justified. We therefore recommend the electrostatic TrEsp method across the entire range of molecular separations and orientations because its cost is minimal and it generally agrees with quantum-chemical calculations to better than the geometric uncertainty. We also caution against computationally optimizing a crystal structure before calculating couplings, as it can lead to large, uncontrollable errors. Understanding the unavoidable uncertainties can guard against striving for unrealistic precision; at the same time, detailed benchmarks can allow important qualitative questions--which do not depend on the precise values of the simulation parameters--to be addressed with greater confidence about the conclusions.

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

    E-Print Network [OSTI]

    Mathew, Paul

    2010-01-01

    Energy Efficiency,” ASHRAE Journal, Vol.50, No.4, April 2008. American Society of Heating Refrigerating and Air conditioning

  17. Storage-Intensive Supercomputing Benchmark Study

    SciTech Connect (OSTI)

    Cohen, J; Dossa, D; Gokhale, M; Hysom, D; May, J; Pearce, R; Yoo, A

    2007-10-30

    Critical data science applications requiring frequent access to storage perform poorly on today's computing architectures. This project addresses efficient computation of data-intensive problems in national security and basic science by exploring, advancing, and applying a new form of computing called storage-intensive supercomputing (SISC). Our goal is to enable applications that simply cannot run on current systems, and, for a broad range of data-intensive problems, to deliver an order of magnitude improvement in price/performance over today's data-intensive architectures. This technical report documents much of the work done under LDRD 07-ERD-063 Storage Intensive Supercomputing during the period 05/07-09/07. The following chapters describe: (1) a new file I/O monitoring tool iotrace developed to capture the dynamic I/O profiles of Linux processes; (2) an out-of-core graph benchmark for level-set expansion of scale-free graphs; (3) an entity extraction benchmark consisting of a pipeline of eight components; and (4) an image resampling benchmark drawn from the SWarp program in the LSST data processing pipeline. The performance of the graph and entity extraction benchmarks was measured in three different scenarios: data sets residing on the NFS file server and accessed over the network; data sets stored on local disk; and data sets stored on the Fusion I/O parallel NAND Flash array. The image resampling benchmark compared performance of software-only to GPU-accelerated. In addition to the work reported here, an additional text processing application was developed that used an FPGA to accelerate n-gram profiling for language classification. The n-gram application will be presented at SC07 at the High Performance Reconfigurable Computing Technologies and Applications Workshop. The graph and entity extraction benchmarks were run on a Supermicro server housing the NAND Flash 40GB parallel disk array, the Fusion-io. The Fusion system specs are as follows: SuperMicro X7DBE Xeon Dual Socket Blackford Server Motherboard; 2 Intel Xeon Dual-Core 2.66 GHz processors; 1 GB DDR2 PC2-5300 RAM (2 x 512); 80GB Hard Drive (Seagate SATA II Barracuda). The Fusion board is presently capable of 4X in a PCIe slot. The image resampling benchmark was run on a dual Xeon workstation with NVIDIA graphics card (see Chapter 5 for full specification). An XtremeData Opteron+FPGA was used for the language classification application. We observed that these benchmarks are not uniformly I/O intensive. The only benchmark that showed greater that 50% of the time in I/O was the graph algorithm when it accessed data files over NFS. When local disk was used, the graph benchmark spent at most 40% of its time in I/O. The other benchmarks were CPU dominated. The image resampling benchmark and language classification showed order of magnitude speedup over software by using co-processor technology to offload the CPU-intensive kernels. Our experiments to date suggest that emerging hardware technologies offer significant benefit to boosting the performance of data-intensive algorithms. Using GPU and FPGA co-processors, we were able to improve performance by more than an order of magnitude on the benchmark algorithms, eliminating the processor bottleneck of CPU-bound tasks. Experiments with a prototype solid state nonvolative memory available today show 10X better throughput on random reads than disk, with a 2X speedup on a graph processing benchmark when compared to the use of local SATA disk.

  18. Cleanroom Energy Efficiency: Metrics and Benchmarks

    E-Print Network [OSTI]

    Mathew, Paul A.

    2012-01-01

    pressure drop for cleanroom RCUs in the LBNL database.pressure drop for cleanroom MAUs in the LBNL database.Performance  of  Cleanroom  Environmental  Systems.? 

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

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

    to "customer contracted work" (see definition). Commonly includes products such as lighting and low-flow shower heads - may also include services such as air sealing....

  20. Healthcare 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum12,ExecutiveFinancing ProgramsDepartment of¡ ¢ £ ¤DepartmentHealth and

  1. Vehicle Technologies Office: Benchmarking | 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirley Ann Jackson About1996HowFOAShowing YouNeedofDepartmentVOICESEnergy 21stAnnualNews

  2. 239Pu Resonance Evaluation for Thermal Benchmark System Calculations

    SciTech Connect (OSTI)

    Leal, Luiz C; Noguere, G; De Saint Jean, C; Kahler, A.

    2013-01-01

    Analyses of thermal plutonium solution critical benchmark systems have indicated a deciency in the 239Pu resonance evaluation. To investigate possible solutions to this issue, the Organisation for Economic Co-operation and Development (OECD) Nuclear Energy Agency (NEA) Working Party for Evaluation Cooperation (WPEC) established Subgroup 34 to focus on the reevaluation of the 239Pu resolved resonance parameters. In addition, the impacts of the prompt neutron multiplication (nubar) and the prompt neutron ssion spectrum (PFNS) have been investigated. The objective of this paper is to present the results of the 239Pu resolved resonance evaluation eort.

  3. Benchmark field study of deep neutron penetration

    SciTech Connect (OSTI)

    Morgan, J.F.; Sale, K. ); Gold, R.; Roberts, J.H.; Preston, C.C. )

    1991-06-10

    A unique benchmark neutron field has been established at the Lawrence Livermore National Laboratory (LLNL) to study deep penetration neutron transport. At LLNL, a tandem accelerator is used to generate a monoenergetic neutron source that permits investigation of deep neutron penetration under conditions that are virtually ideal to model, namely the transport of mono-energetic neutrons through a single material in a simple geometry. General features of the Lawrence Tandem (LATAN) benchmark field are described with emphasis on neutron source characteristics and room return background. The single material chosen for the first benchmark, LATAN-1, is a steel representative of Light Water Reactor (LWR) Pressure Vessels (PV). Also included is a brief description of the Little Boy replica, a critical reactor assembly designed to mimic the radiation doses from the atomic bomb dropped on Hiroshima, and its us in neutron spectrometry. 18 refs.

  4. 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)

    2014-04-15

    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.

  5. 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.

    2011-01-01

    energy intensive compared to commercial and public building space.space is considerably more energy intensive than its commercial or publicspace is considerably more energy intensive than its commercial or public

  6. Post Secondary Project Performance Benchmarks

    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 on Delicious RankADVANCED MANUFACTURINGEnergy Bills andOrder 422.1,anEnergy CompanyEnergyPortsmouthSEP 0of31,

  7. 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 on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy andandBeforeof Energy Beforeoffor the US

  8. SUMMARY GUIDANCE FOR BENCHMARK PERFORMANCE STANDARDS Performance

    E-Print Network [OSTI]

    SUMMARY GUIDANCE FOR BENCHMARK PERFORMANCE STANDARDS Performance Attributes 0-39% 40-59% 60-79% 80 technical knowledge/skill General technical understanding Superior technical knowledge in all tasks Exceptional technical knowledge; beyond expectations for position Quality Work did not meet minimum

  9. Measuring Software Dependability by Robustness Benchmarking

    E-Print Network [OSTI]

    class stuctures that were not detected in a similar situation by other less organized techniques to expose design errors in the error detection or recovery mechanisms. Differentiation amongst systems should reflect the number of such errors uncovered. In attempting to design a useful benchmark

  10. Pedestrian Detection: A Benchmark Piotr Dollar1

    E-Print Network [OSTI]

    Zhu, Zhigang

    Pedestrian Detection: A Benchmark Piotr Doll´ar1 Christian Wojek2 Bernt Schiele2 Pietro Perona1 1 Darmstadt {pdollar,perona}@caltech.edu {wojek,schiele}@cs.tu-darmstadt.de Abstract Pedestrian detection- ing public datasets. To continue the rapid rate of innova- tion, we introduce the Caltech Pedestrian

  11. 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.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    A growing number of local governments and states are collecting building benchmarking data from thousands of public and private building owners. Data cleansing is a critical step prior to analysis...

  13. CBEI - Improving Benchmarking Data Quality

    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 on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department ofBusiness Opportunity SessionJuneof Energy

  14. 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 on Delicious Rank EERE: Alternative FuelsofProgram:Y-12Power, Inc |Bartlesville EnergyDepartmentonPersistent,EV and HEV

  15. NERSC-6/7 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home Room NewsInformationJessework usesof Energy Moving Basic NERSC Training at SC11NERSCNERSC,

  16. Benchmark On Sensitivity Calculation (Phase III)

    SciTech Connect (OSTI)

    Ivanova, Tatiana [IRSN; Laville, Cedric [IRSN; Dyrda, James [Atomic Weapons Establishment; Mennerdahl, Dennis [E. Mennerdahl Systems; Golovko, Yury [Institute of Physics and Power Engineering (IPPE), Obninsk, Russia; Raskach, Kirill [Institute of Physics and Power Engineering (IPPE), Obninsk, Russia; Tsiboulia, Anatoly [Institute of Physics and Power Engineering (IPPE), Obninsk, Russia; Lee, Gil Soo [Korea Institute of Nuclear Safety (KINS); Woo, Sweng-Woong [Korea Institute of Nuclear Safety (KINS); Bidaud, Adrien [Labratoire de Physique Subatomique et de Cosmolo-gie (LPSC); Patel, Amrit [NRC; Bledsoe, Keith C [ORNL; Rearden, Bradley T [ORNL; Gulliford, J. [OECD Nuclear Energy Agency

    2012-01-01

    The sensitivities of the keff eigenvalue to neutron cross sections have become commonly used in similarity studies and as part of the validation algorithm for criticality safety assessments. To test calculations of the sensitivity coefficients, a benchmark study (Phase III) has been established by the OECD-NEA/WPNCS/EG UACSA (Expert Group on Uncertainty Analysis for Criticality Safety Assessment). This paper presents some sensitivity results generated by the benchmark participants using various computational tools based upon different computational methods: SCALE/TSUNAMI-3D and -1D, MONK, APOLLO2-MORET 5, DRAGON-SUSD3D and MMKKENO. The study demonstrates the performance of the tools. It also illustrates how model simplifications impact the sensitivity results and demonstrates the importance of 'implicit' (self-shielding) sensitivities. This work has been a useful step towards verification of the existing and developed sensitivity analysis methods.

  17. Benchmark West Texas Intermediate crude assayed

    SciTech Connect (OSTI)

    Rhodes, A.K.

    1994-08-15

    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.

  18. Non-judgemental Dynamic Fuel Cycle Benchmarking

    E-Print Network [OSTI]

    Scopatz, Anthony Michael

    2015-01-01

    This paper presents a new fuel cycle benchmarking analysis methodology by coupling Gaussian process regression, a popular technique in Machine Learning, to dynamic time warping, a mechanism widely used in speech recognition. Together they generate figures-of-merit that are applicable to any time series metric that a benchmark may study. The figures-of-merit account for uncertainty in the metric itself, utilize information across the whole time domain, and do not require that the simulators use a common time grid. Here, a distance measure is defined that can be used to compare the performance of each simulator for a given metric. Additionally, a contribution measure is derived from the distance measure that can be used to rank order the importance of fuel cycle metrics. Lastly, this paper warns against using standard signal processing techniques for error reduction. This is because it is found that error reduction is better handled by the Gaussian process regression itself.

  19. Generalized models and benchmarks for channel coordination 

    E-Print Network [OSTI]

    Toptal, Aysegul

    2004-09-30

    Models and Benchmarks for Channel Coordination. (August 2003) Ay¸ ¨ Toptal, B.S., Bilkent University, Turkey; M.S., Bilkent University, Turkey Chair of Advisory Committee: Dr. Sõla Cetinkaya This dissertation takes into account the latest industrial... of the Idea Behind Algorithm 3 . . . . . . . . . . . 58 12 Illustration of the Cost and Material Flows . . . . . . . . . . . . . 89 13 Illustration of Piv(Q) when (c -p)Pv > Rv . . . . . . . . . . . . . . 121 14 Different illustrations of Piv...

  20. SHEBA-II as a criticality safety benchmark experiment

    SciTech Connect (OSTI)

    LaBauve, R.J.; Sapir, J.L.

    1995-07-01

    SHEBA-II (Solution High Energy Burst Assembly-II) is a critical assembly experiment currently (1995) being operated at the Los Alamos Critical Experiments Facility. It is a bare assembly fueled with an aqueous solution of about 5% enriched uranyl fluoride that is stored in four critically safe steel tanks. The solution is transferred to the critical assembly vessel (CAV) by applying gas pressure to the storage tanks. Reactivity is controlled by varying the solution level, and a safety rod may be inserted in a thimble along the central axis of the CAV for fast shutdown. The simple geometry provided by this cylindrical system allows for easily applied calculational methods, and thus SHEBA-II is ideally suited for use as a criticality safety benchmark experiment.

  1. China Energy and Emissions Paths to 2030

    E-Print Network [OSTI]

    Fridley, David

    2012-01-01

    al. , 2007, “World Best Practice Energy Intensity Values forthe Tool BEST Cement: Benchmarking and Energy Savings Toolachieve the world’s best practice energy intensity in all

  2. China Energy and Emissions Paths to 2030

    E-Print Network [OSTI]

    Fridley, David

    2012-01-01

    production, thereby saving energy and reducing emissions andCement: Benchmarking and Energy Savings Tool for the Cementinto account the costs and energy savings of different

  3. Benchmarking of Multiparticle Phase Scan and Acceptance Scan...

    Office of Scientific and Technical Information (OSTI)

    of Multiparticle Phase Scan and Acceptance Scan techniques for the Spallation Neutron Source linac Citation Details In-Document Search Title: Benchmarking of Multiparticle...

  4. Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China

    E-Print Network [OSTI]

    Price, Lynn

    2010-01-01

    design code for energy saving, energy consumption auditingEnergy Consumption and Energy Saving Potential,” ProceedingsCement: Benchmarking and Energy Savings Tool for the Cement

  5. 340 -12/2007 BerlinMOD: A Benchmark for Moving Object

    E-Print Network [OSTI]

    Güting, Ralf Hartmut

    for benchmarking spatio-temporal DBMS. Instead of programming a dedicated generator software, we use the existing Secondo DBMS to create benchmark data. The benchmark is based on a simulation scenario, where and for reference, we also present first benchmarking results for the Secondo DBMS. Such a benchmark is useful

  6. Development of a HEX-Z Partially Homogenized Benchmark Model for the FFTF Isothermal Physics Measurements

    SciTech Connect (OSTI)

    John D. Bess

    2012-05-01

    A series of isothermal physics measurements were performed as part of an acceptance testing program for the Fast Flux Test Facility (FFTF). A HEX-Z partially-homogenized benchmark model of the FFTF fully-loaded core configuration was developed for evaluation of these measurements. Evaluated measurements include the critical eigenvalue of the fully-loaded core, two neutron spectra, 32 reactivity effects measurements, an isothermal temperature coefficient, and low-energy gamma and electron spectra. Dominant uncertainties in the critical configuration include the placement of radial shielding around the core, reactor core assembly pitch, composition of the stainless steel components, plutonium content in the fuel pellets, and boron content in the absorber pellets. Calculations of criticality, reactivity effects measurements, and the isothermal temperature coefficient using MCNP5 and ENDF/B-VII.0 cross sections with the benchmark model are in good agreement with the benchmark experiment measurements. There is only some correlation between calculated and measured spectral measurements; homogenization of many of the core components may have impacted computational assessment of these measurements. This benchmark evaluation has been added to the IRPhEP Handbook.

  7. Jackson Park Hospital Green Building Medical Center

    SciTech Connect (OSTI)

    William Dorsey; Nelson Vasquez

    2010-03-01

    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.

  8. Energy Efficient Computing with the Low Power, Energy Aware Processing (LEAP) Architecture

    E-Print Network [OSTI]

    McIntire, Dustin Hale

    2012-01-01

    for Profil- ing the Energy Usage of Mobile Applications. ”,which reduce average energy usage while not interrupting thealgorithm’s execution energy usage. Our first benchmark

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  10. Pollution prevention opportunity assessment benchmarking: Recommendations for Hanford

    SciTech Connect (OSTI)

    Engel, J.A.

    1994-05-01

    Pollution Prevention Opportunity Assessments (P2OAs) are an important first step in any pollution prevention program. While P2OAs have been and are being conducted at Hanford, there exists no standard guidance, training, tracking, or systematic approach to identifying and addressing the most important waste streams. The purpose of this paper then is to serve as a guide to the Pollution Prevention group at Westinghouse Hanford in developing and implementing P2OAs at Hanford. By searching the literature and benchmarks other sites and agencies, the best elements from those programs can be incorporated and pitfalls more easily avoided. This search began with the 1988 document that introduces P2OAs (then called Process Waste Assessments, PWAS) by the Environmental Protection Agency. This important document presented the basic framework of P20A features which appeared in almost all later programs. Major Department of Energy programs were also examined, with particular attention to the Defense Programs P20A method of a graded approach, as presented at the Kansas City Plant. The graded approach is a system of conducting P2OAs of varying levels of detail depending on the size and importance of the waste stream. Finally, private industry programs were examined briefly. While all the benchmarked programs had excellent features, it was determined that the size and mission of Hanford precluded lifting any one program for use. Thus, a series of recommendations were made, based on the literature review, in order to begin an extensive program of P2OAs at Hanford. These recommendations are in the areas of: facility Pollution Prevention teams, P20A scope and methodology, guidance documents, training for facilities (and management), technical and informational support, tracking and measuring success, and incentives.

  11. Benchmarking kinetic calculations of resistive wall mode stability

    SciTech Connect (OSTI)

    Berkery, J. W.; Sabbagh, S. A.; Liu, Y. Q.; Betti, R.

    2014-05-15

    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)].

  12. Neutronics Benchmarks for the Utilization of Mixed-Oxide Fuel: Joint US/Russian Progress Report for Fiscal 1997. Volume 3 - Calculations Performed in the Russian Federation

    SciTech Connect (OSTI)

    1998-06-01

    This volume of the progress report provides documentation of reactor physics and criticality safety studies conducted in the Russian Federation during fiscal year 1997 and sponsored by the Fissile Materials Disposition Program of the US Department of Energy. Descriptions of computational and experimental benchmarks for the verification and validation of computer programs for neutron physics analyses are included. All benchmarks include either plutonium, uranium, or mixed uranium and plutonium fuels. Calculated physics parameters are reported for all of the contaminated benchmarks that the United States and Russia mutually agreed in November 1996 were applicable to mixed-oxide fuel cycles for light-water reactors.

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

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

    Bess, John D.; Montierth, Leland; Köberl, Oliver; Snoj, Luka

    2014-10-09

    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 ²³?U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations of keff with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greatermore »than the benchmark values but within 1% and also within the 3? uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations of keff with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3?) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4?. 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 3? 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

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

    SciTech Connect (OSTI)

    Bess, John D.; Montierth, Leland; Köberl, Oliver; Snoj, Luka

    2014-10-09

    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 ²³?U enrichment of the fuel, impurities in the moderator pebbles, and the density and impurity content of the radial reflector. Calculations of keff with MCNP5 and ENDF/B-VII.0 neutron nuclear data are greater than the benchmark values but within 1% and also within the 3? uncertainty, except for Core 4, which is the only randomly packed pebble configuration. Repeated calculations of keff with MCNP6.1 and ENDF/B-VII.1 are lower than the benchmark values and within 1% (~3?) except for Cores 5 and 9, which calculate lower than the benchmark eigenvalues within 4?. 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 3? 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. TSUNAMI BENCHMARK RESULTS FOR FULLY NONLINEAR BOUSSINESQ WAVE MODEL

    E-Print Network [OSTI]

    Kirby, James T.

    TSUNAMI BENCHMARK RESULTS FOR FULLY NONLINEAR BOUSSINESQ WAVE MODEL FUNWAVE-TVD, VERSION 1 by the National Tsunami Hazard Mitigation Program CENTER FOR APPLIED COASTAL RESEARCH Ocean Engineering Laboratory University of Delaware Newark, Delaware 19716 #12;Abstract This report describes tsunami benchmark testing

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

    SciTech Connect (OSTI)

    Blaise Collin

    2014-09-01

    This document presents the benchmark plan for the calculation of particle fuel performance on safety testing experiments that are representative of operational accidental transients. The benchmark is dedicated to the modeling of fission product release under accident conditions by fuel performance codes from around the world, and the subsequent comparison to post-irradiation experiment (PIE) data from the modeled heating tests. The accident condition benchmark is divided into three parts: the modeling of a simplified benchmark problem to assess potential numerical calculation issues at low fission product release; the modeling of the AGR-1 and HFR-EU1bis safety testing experiments; and, the comparison of the AGR-1 and HFR-EU1bis modeling results with PIE data. The simplified benchmark case, thereafter named NCC (Numerical Calculation Case), is derived from ''Case 5'' of the International Atomic Energy Agency (IAEA) Coordinated Research Program (CRP) on coated particle fuel technology [IAEA 2012]. It is included so participants can evaluate their codes at low fission product release. ''Case 5'' of the IAEA CRP-6 showed large code-to-code discrepancies in the release of fission products, which were attributed to ''effects of the numerical calculation method rather than the physical model''[IAEA 2012]. The NCC is therefore intended to check if these numerical effects subsist. The first two steps imply the involvement of the benchmark participants with a modeling effort following the guidelines and recommendations provided by this document. The third step involves the collection of the modeling results by Idaho National Laboratory (INL) and the comparison of these results with the available PIE data. The objective of this document is to provide all necessary input data to model the benchmark cases, and to give some methodology guidelines and recommendations in order to make all results suitable for comparison with each other. The participants should read this document thoroughly to make sure all the data needed for their calculations is provided in the document. Missing data will be added to a revision of the document if necessary.

  17. Sandia Energy - EC Publications

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

    project to benchmark a set of marine and hydrokinetic technologies including current (tidal, open-ocean, and river) turbines and wave energy converters. The objectives of the...

  18. A Benchmark Study on Casting Residual Stress

    SciTech Connect (OSTI)

    Johnson, Eric M. [John Deere -- Moline Tech Center; Watkins, Thomas R [ORNL; Schmidlin, Joshua E [ORNL; Dutler, S. A. [MAGMA Foundry Technologies, Inc.

    2012-01-01

    Stringent regulatory requirements, such as Tier IV norms, have pushed the cast iron for automotive applications to its limit. The castings need to be designed with closer tolerances by incorporating hitherto unknowns, such as residual stresses arising due to thermal gradients, phase and microstructural changes during solidification phenomenon. Residual stresses were earlier neglected in the casting designs by incorporating large factors of safety. Experimental measurement of residual stress in a casting through neutron or X-ray diffraction, sectioning or hole drilling, magnetic, electric or photoelastic measurements is very difficult and time consuming exercise. A detailed multi-physics model, incorporating thermo-mechanical and phase transformation phenomenon, provides an attractive alternative to assess the residual stresses generated during casting. However, before relying on the simulation methodology, it is important to rigorously validate the prediction capability by comparing it to experimental measurements. In the present work, a benchmark study was undertaken for casting residual stress measurements through neutron diffraction, which was subsequently used to validate the accuracy of simulation prediction. The stress lattice specimen geometry was designed such that subsequent castings would generate adequate residual stresses during solidification and cooling, without any cracks. The residual stresses in the cast specimen were measured using neutron diffraction. Considering the difficulty in accessing the neutron diffraction facility, these measurements can be considered as benchmark for casting simulation validations. Simulations were performed using the identical specimen geometry and casting conditions for predictions of residual stresses. The simulation predictions were found to agree well with the experimentally measured residual stresses. The experimentally validated model can be subsequently used to predict residual stresses in different cast components. This enables incorporation of the residual stresses at the design phase along with external loads for accurate predictions of fatigue and fracture performance of the cast components.

  19. Toxicological benchmarks for screening potential contaminants of concern for effects on aquatic biota: 1996 revision

    SciTech Connect (OSTI)

    Suter, G.W. II [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States); Tsao, C.L. [Duke Univ., Durham, NC (United States). School of the Environment] [Duke Univ., Durham, NC (United States). School of the Environment

    1996-06-01

    This report presents potential screening benchmarks for protection of aquatic life form contaminants in water. Because there is no guidance for screening for benchmarks, a set of alternative benchmarks is presented herein. This report presents the alternative benchmarks for chemicals that have been detected on the Oak Ridge Reservation. It also presents the data used to calculate the benchmarks and the sources of the data. It compares the benchmarks and discusses their relative conservatism and utility. Also included is the updates of benchmark values where appropriate, new benchmark values, secondary sources are replaced by primary sources, and a more complete documentation of the sources and derivation of all values are presented.

  20. Policy Flash 2014-29 Acquisition Letter 2014-07 - Benchmark Compensati...

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

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

  1. SILENE Benchmark Critical Experiments for Criticality Accident Alarm Systems

    SciTech Connect (OSTI)

    Miller, Thomas Martin; Reynolds, Kevin H.

    2011-01-01

    In October 2010 a series of benchmark experiments was conducted at the Commissariat a Energie Atomique et aux Energies Alternatives (CEA) Valduc SILENE [1] facility. These experiments were a joint effort between the US Department of Energy (DOE) and the French CEA. The purpose of these experiments was to create three benchmarks for the verification and validation of radiation transport codes and evaluated nuclear data used in the analysis of criticality accident alarm systems (CAASs). This presentation will discuss the geometric configuration of these experiments and the quantities that were measured and will present some preliminary comparisons between the measured data and calculations. This series consisted of three single-pulsed experiments with the SILENE reactor. During the first experiment the reactor was bare (unshielded), but during the second and third experiments it was shielded by lead and polyethylene, respectively. During each experiment several neutron activation foils and thermoluminescent dosimeters (TLDs) were placed around the reactor, and some of these detectors were themselves shielded from the reactor by high-density magnetite and barite concrete, standard concrete, and/or BoroBond. All the concrete was provided by CEA Saclay, and the BoroBond was provided by Y-12 National Security Complex. Figure 1 is a picture of the SILENE reactor cell configured for pulse 1. Also included in these experiments were measurements of the neutron and photon spectra with two BICRON BC-501A liquid scintillators. These two detectors were provided and operated by CEA Valduc. They were set up just outside the SILENE reactor cell with additional lead shielding to prevent the detectors from being saturated. The final detectors involved in the experiments were two different types of CAAS detectors. The Babcock International Group provided three CIDAS CAAS detectors, which measured photon dose and dose rate with a Geiger-Mueller tube. CIDAS detectors are currently in use at Y-12 in the newly constructed Highly Enriched Uranium Materials Facility. The second CAAS detector used a {sup 6}LiF TLD to absorb neutrons and a silicon detector to count the charge particles released by these absorption events. Lawrence Livermore National Laboratory provided four of these detectors, which had formerly been used at the Rocky Flats facility in the United States.

  2. A framework for benchmarking land models

    E-Print Network [OSTI]

    2012-01-01

    processes (exchanges of water and energy) and biogeochemicalsimulation of the water and energy balance (Pitman, 2003).models. Exchange of water and energy between land sur- face

  3. Action-Oriented Benchmarking: Concepts and Tools

    E-Print Network [OSTI]

    Mills, Evan; California Energy Commission

    2008-01-01

    J. 2006. “Evaluation of Building Energy Performance RatingEvaluation of Building Energy Performance Rating Protocols,”and managing building energy performance. While more dynamic

  4. Action-Oriented Benchmarking: Concepts and Tools

    E-Print Network [OSTI]

    Mills, Evan; California Energy Commission

    2008-01-01

    metrics (e.g. energy per square foot) System or end-usee.g. lighting energy use per square foot) Peak electricitymetrics (e.g. energy expenditures per square foot) Energy-

  5. High Performance Healthcare Buildings: A Roadmap to Improved Energy Efficiency

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01

    needs. • Include energy efficiency best practice in designand benchmarking energy use; best practices and training;of practitioners. Energy performance best practices ideally

  6. Gauging Improvements in Urban Building Energy Policy in India

    E-Print Network [OSTI]

    Williams, Christopher

    2013-01-01

    develop a web-based building energy performance benchmarkingtraining, building energy performance studies, and thermaland Energy Performance Benchmarking for Commercial Buildings

  7. 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

    2013-09-01

    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.

  8. A benchmark study of the vertical electronic spectra of the linear chain radicals C2H and C4H

    E-Print Network [OSTI]

    Crawford, T. Daniel

    A benchmark study of the vertical electronic spectra of the linear chain radicals C2H and C4H Ryan The ability of coupled-cluster models to predict vertical excitation energies is tested on the electronic/visibility spectroscopy are preferred for identification.8­10 However, electronic spectra are signifi- cantly more

  9. 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmental JumpInformation Beaufort County,BelBelvedere, South

  10. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    1i Heating, Piping & Air Conditioning 1977 January; 49 :53-Heating, Piping & Air Conditioning 1977 August; 49:65-6.Heating, Piping & Air Conditioning 1977 Sep- tember; 49:57-

  11. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    94~97, methods of testing thermal storage devices; etc. ).used for collector area and thermal storage optimization areembodies heat pumping. thermal storage and, where climate

  12. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    data base, an instrumented engineering survey, off-site engineer- ing analysis, cost containment reporting, implementation of a management information system, and "

  13. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Guidelines for Solid Waste Boiler Sys- tems: Veteransreduce gas consumption by 3%; and boiler turbulators (infire tube boilers) can save 10% heat loss. Price. S.G. Air

  14. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    49(8):53~56. Air A heat recovery system for a hospitalrecent developments in heat recovery from exhaust gases andGaro(Tota! ) Hayet (Heat Recovery) Hayet (New HVAC) Health

  15. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

    Garo(Tota! ) Hayet (Heat Recovery) Hayet (New HVAC) Health49(8):53~56. Air A heat recovery system for a hospitalrecent developments in heat recovery from exhaust gases and

  16. HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY

    E-Print Network [OSTI]

    Pollack, R. I.

    2011-01-01

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

  17. 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

    2001-06-17

    This work discusses the methods developed in a three-dimensional (3-D) pressurized water reactor (PWR) SIMTRAN Core Dynamics code and its coupling to the RELAP-5 system code for general transient and safety analysis, as well as its demonstration application to the Nuclear Energy Agency/Organization for Economic Cooperation and Development (NEA/OECD) Benchmark on Main Steam Line Break (MSLB). The results for the steady states and the transients proposed for exercise 2 of the MSLB Benchmark, the guided core transient analysis, show small deviations from the mean results of other participants, especially for core average parameters. For exercise 3, the full system transient, the agreement is quite good for both integral and local parameters.

  18. Analysisi Benchmark of the Single Heater Test

    SciTech Connect (OSTI)

    H.M. Wade; H. Marr; M.J. Anderson

    2006-07-27

    The Single Heater Test (SHT) is the first of three in-situ thermal tests included in the site characterization program for the potential nuclear waste monitored geologic repository at Yucca Mountain. The heating phase of the SHT started in August 1996 and was concluded in May 1997 after 9 months of heating. Cooling continued until January 1998, at which time post-test characterization of the test block commenced. Numerous thermal, hydrological, mechanical, and chemical sensors monitored the coupled processes in the unsaturated fractured rock mass around the heater (CRWMS M&O 1999). The objective of this calculation is to benchmark a numerical simulation of the rock mass thermal behavior against the extensive data set that is available from the thermal test. The scope is limited to three-dimensional (3-D) numerical simulations of the computational domain of the Single Heater Test and surrounding rock mass. This calculation supports the waste package thermal design methodology, and is developed by Waste Package Department (WPD) under Office of Civilian Radioactive Waste Management (OCRWM) procedure AP-3.12Q, Revision 0, ICN 3, BSCN 1, Calculations.

  19. European Lean Gasoline Direct Injection Vehicle Benchmark

    SciTech Connect (OSTI)

    Chambon, Paul H; Huff, Shean P; Edwards, Kevin Dean; Norman, Kevin M; Prikhodko, Vitaly Y; Thomas, John F

    2011-01-01

    Lean Gasoline Direct Injection (LGDI) combustion is a promising technical path for achieving significant improvements in fuel efficiency while meeting future emissions requirements. Though Stoichiometric Gasoline Direct Injection (SGDI) technology is commercially available in a few vehicles on the American market, LGDI vehicles are not, but can be found in Europe. Oak Ridge National Laboratory (ORNL) obtained a European BMW 1-series fitted with a 2.0l LGDI engine. The vehicle was instrumented and commissioned on a chassis dynamometer. The engine and after-treatment performance and emissions were characterized over US drive cycles (Federal Test Procedure (FTP), the Highway Fuel Economy Test (HFET), and US06 Supplemental Federal Test Procedure (US06)) and steady state mappings. The vehicle micro hybrid features (engine stop-start and intelligent alternator) were benchmarked as well during the course of that study. The data was analyzed to quantify the benefits and drawbacks of the lean gasoline direct injection and micro hybrid technologies from a fuel economy and emissions perspectives with respect to the US market. Additionally that data will be formatted to develop, substantiate, and exercise vehicle simulations with conventional and advanced powertrains.

  20. A complete Randomized Benchmarking Protocol accounting for Leakage Errors

    E-Print Network [OSTI]

    T. Chasseur; F. K. Wilhelm

    2015-07-09

    Randomized Benchmarking allows to efficiently and scalably characterize the average error of an unitary 2-design such as the Clifford group $\\mathcal{C}$ on a physical candidate for quantum computation, as long as there are no non-computational leakage levels in the system. We investigate the effect of leakage errors on Randomized Benchmarking induced from an additional level per physical qubit and provide a modified protocol that allows to derive reliable estimates for the error per gate in their presence. We assess the variance of the sequence fidelity corresponding to the number of random sequences needed for valid fidelity estimation. Our protocol allows for gate dependent error channels without being restricted to perturbations. We show that our protocol is compatible with Interleaved Randomized Benchmarking and expand to benchmarking of arbitrary gates. This setting is relevant for superconducting transmon qubits, among other systems.

  1. 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...

  2. DOE TAP Webinar: Benchmarking Data Cleansing: A Rite of Passage...

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

    12:00PM to 1:30PM MDT A growing number of local governments and states are collecting building benchmarking data from thousands of public and private building owners. Data...

  3. Benchmarking of measurement and simulation of transverse rms...

    Office of Scientific and Technical Information (OSTI)

    beams at the GSI UNILAC. In order to define measures to reduce this growth appropriated tools to simulate the beam dynamics are indispensable. This paper is about the benchmarking...

  4. 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

  5. A proposed benchmark for simulation in radiographic testing

    SciTech Connect (OSTI)

    Jaenisch, G.-R.; Deresch, A.; Bellon, C.; Schumm, A.; Guerin, P.

    2014-02-18

    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.

  6. Investigation of PVC Pipe Failure at Terrell State Hospital – Final Report 

    E-Print Network [OSTI]

    Wei, G.; Deng, S.; Claridge, D. E.; Turner, W. D.

    2000-01-01

    At the request of Terrell State Hospital and MHMR, the Energy Systems Laboratory at Texas A&M University investigated the failure of the PVC pipes serving the chilled water loop at Terrell State Hospital. There were two ...

  7. 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

  8. Benchmark Evaluation of the NRAD Reactor LEU Core Startup Measurements

    SciTech Connect (OSTI)

    J. D. Bess; T. L. Maddock; M. A. Marshall

    2011-09-01

    The Neutron Radiography (NRAD) reactor is a 250-kW TRIGA-(Training, Research, Isotope Production, General Atomics)-conversion-type reactor at the Idaho National Laboratory; it is primarily used for neutron radiography analysis of irradiated and unirradiated fuels and materials. The NRAD reactor was converted from HEU to LEU fuel with 60 fuel elements and brought critical on March 31, 2010. This configuration of the NRAD reactor has been evaluated as an acceptable benchmark experiment and is available in the 2011 editions of the International Handbook of Evaluated Criticality Safety Benchmark Experiments (ICSBEP Handbook) and the International Handbook of Evaluated Reactor Physics Benchmark Experiments (IRPhEP Handbook). Significant effort went into precisely characterizing all aspects of the reactor core dimensions and material properties; detailed analyses of reactor parameters minimized experimental uncertainties. The largest contributors to the total benchmark uncertainty were the 234U, 236U, Er, and Hf content in the fuel; the manganese content in the stainless steel cladding; and the unknown level of water saturation in the graphite reflector blocks. A simplified benchmark model of the NRAD reactor was prepared with a keff of 1.0012 {+-} 0.0029 (1s). Monte Carlo calculations with MCNP5 and KENO-VI and various neutron cross section libraries were performed and compared with the benchmark eigenvalue for the 60-fuel-element core configuration; all calculated eigenvalues are between 0.3 and 0.8% greater than the benchmark value. Benchmark evaluations of the NRAD reactor are beneficial in understanding biases and uncertainties affecting criticality safety analyses of storage, handling, or transportation applications with LEU-Er-Zr-H fuel.

  9. Assessment of Energy Efficiency Improvement and CO2 Emission Reduction Potentials in the Cement Industry in China

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2013-01-01

    2012. Potential energy savings and CO 2 emissions reductiondesign code for energy saving, energy consumption auditingCement: Benchmarking and Energy Savings Tool for the Cement

  10. International Experience with Key Program Elements of Industrial Energy Efficiency or Greenhouse Gas Emissions Reduction Target-Setting Programs

    E-Print Network [OSTI]

    Price, Lynn; Galitsky, Christina; Kramer, Klaas Jan

    2008-01-01

    BEST: Benchmarking and Energy Saving Tool for industry toregarding energy use and energy saving measures. Accordingand quantifies the energy savings and simple payback period

  11. NASA Benchmarks Lessons Learned Assessment Plan - Developed By NNSA/Nevada Site Office Facility Representative Division

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i nAand DOEDepartment of Energy Motion toCITIZENSHarris, withNASA BENCHMARKS

  12. 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)

    1995-08-01

    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.

  13. ENERGY STAR® Guide to Energy Efficiency Competitions for Buildings...

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

    competition or challenge, which can be used to engage the community and provide motivation to participate in a benchmarking and disclosure program. Guide to Energy Efficiency...

  14. OECD NEA Benchmark Database of Spent Nuclear Fuel Isotopic Compositions for World Reactor Designs

    SciTech Connect (OSTI)

    Gauld, Ian C; Sly, Nicholas C; Michel-Sendis, Franco

    2014-01-01

    Experimental data on the isotopic concentrations in irradiated nuclear fuel represent one of the primary methods for validating computational methods and nuclear data used for reactor and spent fuel depletion simulations that support nuclear fuel cycle safety and safeguards programs. Measurement data have previously not been available to users in a centralized or searchable format, and the majority of accessible information has been, for the most part, limited to light-water-reactor designs. This paper describes a recent initiative to compile spent fuel benchmark data for additional reactor designs used throughout the world that can be used to validate computer model simulations that support nuclear energy and nuclear safeguards missions. Experimental benchmark data have been expanded to include VVER-440, VVER-1000, RBMK, graphite moderated MAGNOX, gas cooled AGR, and several heavy-water moderated CANDU reactor designs. Additional experimental data for pressurized light water and boiling water reactor fuels has also been compiled for modern assembly designs and more extensive isotopic measurements. These data are being compiled and uploaded to a recently revised structured and searchable database, SFCOMPO, to provide the nuclear analysis community with a centrally-accessible resource of spent fuel compositions that can be used to benchmark computer codes, models, and nuclear data. The current version of SFCOMPO contains data for eight reactor designs, 20 fuel assembly designs, more than 550 spent fuel samples, and measured isotopic data for about 80 nuclides.

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

    SciTech Connect (OSTI)

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

    2013-09-01

    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.

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

    SciTech Connect (OSTI)

    Levin, V.

    1994-04-01

    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.

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

    SciTech Connect (OSTI)

    Haves, Philip; Coffey, Brian; Williams, Scott

    2008-06-11

    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.

  18. Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China

    E-Print Network [OSTI]

    Price, Lynn

    2010-01-01

    the Tool BEST Cement: Benchmarking and Energy Savings Toolbut that used best practice energy-efficiency technologiesof the plant compared to best practice energy use, which is

  19. Analysis of Energy-Efficiency Opportunities for the Cement Industry in Shandong Province, China

    E-Print Network [OSTI]

    Price, Lynn

    2010-01-01

    the Tool BEST Cement: Benchmarking and Energy Savings Toolfor product i = best practice energy intensity for product ibut that used best practice energy-efficiency technologies

  20. Better than CFL? Dimmable LED Downlights in Hospitality Facilities Webinar

    Broader source: Energy.gov [DOE]

    LEDs represent less than 1% of the installed base of U.S. downlights, which in 2012 numbered about 700 million. In hospitality facilities, past efforts to reduce lighting energy use have mainly...

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

    E-Print Network [OSTI]

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

    1987-01-01

    case study to define and illustrate three energy planning strategies applicable to hospitals. These strategies are peak shaving, thermal storage, cogeneration and/or paralleling with the electric utility....

  2. An energy efficiency guide for use in cleanroom programming

    E-Print Network [OSTI]

    Tschudi, Bill; Xu, Tengfang; Sartor, Dale

    2001-01-01

    unoccupied Consider reducing cleanroom airflow when the roomis unoccupied. CLEANROOM ENERGY PROGRAMMING GUIDE ReferencesEnergy benchmarking in cleanroom facilities. Cleanrooms West

  3. World Best Practice Energy Intensity Values for Selected Industrial Sectors

    E-Print Network [OSTI]

    Worrell, Ernst; Price, Lynn; Neelis, Maarten; Galitsky, Christina; Zhou, Nan

    2007-01-01

    in the Pulp and Paper Industry: An Energy Benchmarkingin the Pulp and Paper Industries. Integrated Pollutionin the Pulp and Paper Industry: An Energy Benchmarking

  4. BENCHMARK EVALUATION OF THE INITIAL ISOTHERMAL PHYSICS MEASUREMENTS AT THE FAST FLUX TEST FACILITY

    SciTech Connect (OSTI)

    John Darrell Bess

    2010-05-01

    The benchmark evaluation of the initial isothermal physics tests performed at the Fast Flux Test Facility, in support of Fuel Cycle Research and Development and Generation-IV activities at the Idaho National Laboratory, has been completed. The evaluation was performed using MCNP5 with ENDF/B-VII.0 nuclear data libraries and according to guidelines provided for inclusion in the International Reactor Physics Experiment Evaluation Project Handbook. Results provided include evaluation of the initial fully-loaded core critical, two neutron spectra measurements near the axial core center, 32 reactivity effects measurements (21 control rod worths, two control rod bank worths, six differential control rod worths, two shutdown margins, and one excess reactivity), isothermal temperature coefficient, and low-energy electron and gamma spectra measurements at the core center. All measurements were performed at 400 ºF. There was good agreement between the calculated and benchmark values for the fully-loaded core critical eigenvalue, reactivity effects measurements, and isothermal temperature coefficient. General agreement between benchmark experiment measurements and calculated spectra for neutrons and low-energy gammas at the core midplane exists, but calculations of the neutron spectra below the core and the low-energy gamma spectra at core midplane did not agree well. Homogenization of core components may have had a significant impact upon computational assessment of these effects. Future work includes development of a fully-heterogeneous model for comprehensive evaluation. The reactor physics measurement data can be used in nuclear data adjustment and validation of computational methods for advanced fuel cycle and nuclear reactor systems using Liquid Metal Fast Reactor technology.

  5. Benchmarking & Transparency Policy and Program Impact Evaluation...

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

    & Transparency Policy and Program Impact Evaluation Handbook May 2015 Prepared for the U.S. Department of Energy by Navigant Consulting, Inc.and Steven Winter Associates, Inc....

  6. House Simulation Protocols (Building America Benchmark) - Building...

    Energy Savers [EERE]

    which provides guidance to program partners and managers so they can compare energy savings for new construction and retrofit projects. The HSP provides the program with...

  7. BerlinMOD: A Benchmark for Moving Object Databases Christian Duntgen, Thomas Behr, and Ralf Hartmut Guting

    E-Print Network [OSTI]

    Güting, Ralf Hartmut

    for benchmarking spatio-temporal DBMS. Instead of programming a dedicated generator software, we use the existing Secondo DBMS to create benchmark data. The benchmark is based on a simulation scenario, where and for reference, we also present first benchmarking results for the Secondo DBMS. Such a benchmark is useful

  8. Neutron Reference Benchmark Field Specification: ACRR Free-Field Environment (ACRR-FF-CC-32-CL).

    SciTech Connect (OSTI)

    Vega, Richard Manuel; Parma, Edward J.; Griffin, Patrick J.; Vehar, David W.

    2015-07-01

    This report was put together to support the International Atomic Energy Agency (IAEA) REAL- 2016 activity to validate the dosimetry community’s ability to use a consistent set of activation data and to derive consistent spectral characterizations. The report captures details of integral measurements taken in the Annular Core Research Reactor (ACRR) central cavity free-field reference neutron benchmark field. The field is described and an “a priori” calculated neutron spectrum is reported, based on MCNP6 calculations, and a subject matter expert (SME) based covariance matrix is given for this “a priori” spectrum. The results of 31 integral dosimetry measurements in the neutron field are reported.

  9. Benchmark specifications for EBR-II shutdown heat removal tests

    SciTech Connect (OSTI)

    Sofu, T.; Briggs, L. L.

    2012-07-01

    Argonne National Laboratory (ANL) is hosting an IAEA-coordinated research project on benchmark analyses of sodium-cooled fast reactor passive safety tests performed at the Experimental Breeder Reactor-II (EBR-II). The benchmark project involves analysis of a protected and an unprotected loss of flow tests conducted during an extensive testing program within the framework of the U.S. Integral Fast Reactor program to demonstrate the inherently safety features of EBR-II as a pool-type, sodium-cooled fast reactor prototype. The project is intended to improve the participants' design and safety analysis capabilities for sodium-cooled fast reactors through validation and qualification of safety analysis codes and methods. This paper provides a description of the EBR-II tests included in the program, and outlines the benchmark specifications being prepared to support the IAEA-coordinated research project. (authors)

  10. INTEGRAL BENCHMARKS AVAILABLE THROUGH THE INTERNATIONAL REACTOR PHYSICS EXPERIMENT EVALUATION PROJECT AND THE INTERNATIONAL CRITICALITY SAFETY BENCHMARK EVALUATION PROJECT

    SciTech Connect (OSTI)

    J. Blair Briggs; Lori Scott; Enrico Sartori; Yolanda Rugama

    2008-09-01

    Interest in high-quality integral benchmark data is increasing as efforts to quantify and reduce calculational uncertainties accelerate to meet the demands of next generation reactor and advanced fuel cycle concepts. The International Reactor Physics Experiment Evaluation Project (IRPhEP) and the International Criticality Safety Benchmark Evaluation Project (ICSBEP) continue to expand their efforts and broaden their scope to identify, evaluate, and provide integral benchmark data for method and data validation. Benchmark model specifications provided by these two projects are used heavily by the international reactor physics, nuclear data, and criticality safety communities. Thus far, 14 countries have contributed to the IRPhEP, and 20 have contributed to the ICSBEP. The status of the IRPhEP and ICSBEP is discussed in this paper, and the future of the two projects is outlined and discussed. Selected benchmarks that have been added to the IRPhEP and ICSBEP handbooks since PHYSOR’06 are highlighted, and the future of the two projects is discussed.

  11. Benchmarking: More Aspects of High Performance Computing

    SciTech Connect (OSTI)

    Rahul Ravindrudu

    2004-12-19

    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.

  12. National Level Co-Control Study of the Targets for Energy Intensity and Sulfur Dioxide in China

    E-Print Network [OSTI]

    Zhou, Nan

    2013-01-01

    the Tool BEST Cement: Benchmarking and Energy Savings ToolZhou. 2008. World Best Practice Energy Intensity Values forpublications/world-best-practice-energy- intensity-values-

  13. International Experience with Key Program Elements of Industrial Energy Efficiency or Greenhouse Gas Emissions Reduction Target-Setting Programs

    E-Print Network [OSTI]

    Price, Lynn; Galitsky, Christina; Kramer, Klaas Jan

    2008-01-01

    tool called BEST: Benchmarking and Energy Saving Tool forinternational best practice energy use levels. Benchmarkingin Australian Wineries: Energy Efficiency Best Practice.

  14. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Researchof Energy andandBeforeof Energy Beforeoffor

  15. Energy performance of cleanroom environmental systems

    E-Print Network [OSTI]

    Xu, Tengfang; Tschudi, William F.

    2001-01-01

    39061. Whyte, W. 1999. Cleanroom Design, 2 England. ISBN 0-Fok, and P. Rumsey. 2001. Cleanroom Energy Benchmarking in1993. Considerations in Cleanroom Design. IEST Recommended

  16. Review of Existing Energy Retrofit Tools

    E-Print Network [OSTI]

    Lee, Sang Hoon

    2014-01-01

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

  17. CFB: A Call For Benchmarks -for Software Visualization Jonathan I. Maletic

    E-Print Network [OSTI]

    Maletic, Jonathan I.

    CFB: A Call For Benchmarks - for Software Visualization Jonathan I. Maletic Department of Computer to develop this Call- For-Benchmarks in Software Visualization. We will motivate why this "CFB" may

  18. 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

  19. Butterfly Project Report DARPA Parallel Architecture Benchmark Study

    E-Print Network [OSTI]

    Scott, Michael L.

    Butterfly Project Report 13 DARPA Parallel Architecture Benchmark Study C. Brown, R. Fowler, T. Le Butterfly Project Report 11 5. Hough Transformation Butterfly Project Report 10 6. Geometrical Constructions In this document 7. Visibility Calculations In this document 8. Graph Matching Butterfly Project Report 14 9

  20. Preliminary Benchmarking Efforts and MCNP Simulation Results for Homeland Security

    SciTech Connect (OSTI)

    Robert Hayes

    2008-04-18

    It is shown in this work that basic measurements made from well defined source detector configurations can be readily converted in to benchmark quality results by which Monte Carlo N-Particle (MCNP) input stacks can be validated. Specifically, a recent measurement made in support of national security at the Nevada Test Site (NTS) is described with sufficient detail to be submitted to the American Nuclear Society’s (ANS) Joint Benchmark Committee (JBC) for consideration as a radiation measurement benchmark. From this very basic measurement, MCNP input stacks are generated and validated both in predicted signal amplitude and spectral shape. Not modeled at this time are those perturbations from the more recent pulse height light (PHL) tally feature, although what spectral deviations are seen can be largely attributed to not including this small correction. The value of this work is as a proof-of-concept demonstration that with well documented historical testing can be converted into formal radiation measurement benchmarks. This effort would support virtual testing of algorithms and new detector configurations.

  1. Standardized Code Quality Benchmarking for Improving Software Maintainability Robert Baggen

    E-Print Network [OSTI]

    Visser, Joost

    Standardized Code Quality Benchmarking for Improving Software Maintainability Robert Baggen T ¨UV) for code anal- ysis and quality consulting focused on software maintainability. The approach uses to the industry-wide state of the art in code quality and maintainability. When a minimum level of software

  2. Benchmarks for Global Optimization and Continuous Constraint Satisfaction

    E-Print Network [OSTI]

    Neumaier, Arnold

    . Executable versions of these test problems, as well as information on their sources, are publicly availableBenchmarks for Global Optimization and Continuous Constraint Satisfaction Oleg Shcherbina Institut, covering as far as possible all the categories of scienti#12;c, economical, technical, or industrial

  3. 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

  4. POTENTIAL BENCHMARKS FOR ACTINIDE PRODUCTION IN HANFORD REACTORS

    SciTech Connect (OSTI)

    PUIGH RJ; TOFFER H

    2011-10-19

    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.

  5. 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

    2012-04-11

    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.

  6. BENCHMARKING FOR DESIGN OF MAJOR AIRPORTS WORLDWIDE Richard de Neufville, M. ASCE, and Javier Rojas Guzmn

    E-Print Network [OSTI]

    . of Tech., Cambridge, MA 02139. 2 Asturias 17, México, DF, 03920, México. #12;"Benchmarking is a critical

  7. Benchmarking and Regulation of Electricity Transmission and Distribution Utilities: Lessons from International Experience

    E-Print Network [OSTI]

    Jamasb, Tooraj; Pollitt, Michael G.

    2004-06-16

    in selecting benchmarking method, model, and inputs. 10. Is international benchmarking used? III. Benchmarking - process 11. Length of regulatory lag. 12. Number of iterations / consultations. 13. Separate handling of OPEX and CAPEX? 14. Is benchmarking... ), 100% (2005) T: 1 D: 1 95% (public) proposed - as a contributory factor - large degree of freedom COC, CAPEX, OPEX, tech. eff., qual. of serv. Italy independent reform: 1999 T, D, S bilateral (existing) spot & forward mkt. (fr.2001) balanc. mkt. (under...

  8. 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.

  9. CALiPER Benchmark Report: Performance of Halogen Incandescent MR16 Lamps and LED Replacement

    SciTech Connect (OSTI)

    None

    2008-11-01

    This benchmark report addresses the halogen MR16 lamp and its commercially available light-emitting diode (LED) replacements.

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

    E-Print Network [OSTI]

    Mathew, Paul

    2008-01-01

    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.

  11. 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

  12. 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 usable for benchmarking and risk assessment purposes. 1 Introduction Project and program managers require

  13. Nonresidential Building Energy Use Disclosure Program

    E-Print Network [OSTI]

    · ·/ Nonresidential Building Energy Use Disclosure Program California Code of Regulations Title Commission Chapter 4. Energy Conservation Article 9. Nonresidential Building Benchmarking and Disclosure Manager that summarizes the space and energy usage of a building and compares a building's energy use

  14. Benchmarking of multiple preequilibrium routines in GNASH

    SciTech Connect (OSTI)

    Chadwick, M.B.; Young, P.G.

    1994-08-01

    The authors compare two different models for multiple preequilibrium emission (MPE) in GNASH: the older exciton MPE model; and a new generalized MPE model which is parameter-free. They analyze the proton-induced reactions on zirconium and lead, which were the focus of a recent NEA intermediate-energy code intercomparison, using both the MPE models. They find that the new generalized MPE model better describes the measurements.

  15. CBEI Localized Benchmarking: Users and Analytics

    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 on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department ofBusiness Opportunity SessionJuneof EnergyCBEICBEI

  16. Federal Building Benchmarking Guidance - August 2014 Update

    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 on Delicious Rank EERE:FinancingPetroleum12, 2015Executive Order14, 20111,FYDepartment of5! Federal Building Energy Use

  17. Benchmarking ESCO Projects in Public Sector Markets

    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 on Delicious Rank EERE: Alternative FuelsofProgram:Y-12Power, Inc |Bartlesville EnergyDepartmentonPersistent,

  18. SIGACE Code for Generating High-Temperature ACE Files; Validation and Benchmarking

    SciTech Connect (OSTI)

    Sharma, Amit R. [Institute for Plasma Research, Bhat, Gandhinagar-382428, Gujarat (India); Ganesan, S. [Reactor Physics Design Division, Bhabha Atomic Research Center, Mumbai-400085 (India); Trkov, A. [Nuclear Data Section, International Atomic Energy Agency, Vienna (Austria)

    2005-05-24

    A code named SIGACE has been developed as a tool for MCNP users within the scope of a research contract awarded by the Nuclear Data Section of the International Atomic Energy Agency (IAEA) (Ref: 302-F4-IND-11566 B5-IND-29641). A new recipe has been evolved for generating high-temperature ACE files for use with the MCNP code. Under this scheme the low-temperature ACE file is first converted to an ENDF formatted file using the ACELST code and then Doppler broadened, essentially limited to the data in the resolved resonance region, to any desired higher temperature using SIGMA1. The SIGACE code then generates a high-temperature ACE file for use with the MCNP code. A thinning routine has also been introduced in the SIGACE code for reducing the size of the ACE files. The SIGACE code and the recipe for generating ACE files at higher temperatures has been applied to the SEFOR fast reactor benchmark problem (sodium-cooled fast reactor benchmark described in ENDF-202/BNL-19302, 1974 document). The calculated Doppler coefficient is in good agreement with the experimental value. A similar calculation using ACE files generated directly with the NJOY system also agrees with our SIGACE computed results. The SIGACE code and the recipe is further applied to study the numerical benchmark configuration of selected idealized PWR pin cell configurations with five different fuel enrichments as reported by Mosteller and Eisenhart. The SIGACE code that has been tested with several FENDL/MC files will be available, free of cost, upon request, from the Nuclear Data Section of the IAEA.

  19. Cleanroom energy benchmarking in high-tech and biotech industries

    E-Print Network [OSTI]

    Tschudi, William; Benschine, Kathleen; Fok, Stephen; Rumsey, Peter

    2001-01-01

    Company. 1996-2000. World Cleanroom Markets, A Marketdependent intensive cleanroom environments for research and3.6 million sq. ft. of cleanroom (McIlvaine, 1996) and 4349

  20. Benchmark the Fuel Cost of Steam Generation, Energy Tips: STEAM...

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

    of your steam system. This cost is dependent upon fuel type, unit fuel cost, boiler efficiency, feedwater temperature, and steam pressure. This calculation provides a...

  1. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul; Rumsey Engineers

    2008-01-01

    Dirty Filter Allowance Heat Recovery Silencer Supply DuctDevice Exhaust Duct Work Heat Recovery with filter Exhaustfor filtering systems, heat recovery, etc. , laboratory fan

  2. Metrics and Benchmarks for Energy Efficiency in Laboratories

    E-Print Network [OSTI]

    Mathew, Paul; Rumsey Engineers

    2008-01-01

    and Health Administration 10. ANSI/ ASHRAE Standard 62.1:bp_guide.htm 13. ASHRAE/ANSI/IESNA Standard 55: Thermal05CH11231.       References ASHRAE/ANSI/IESNA Standard 90.1:

  3. 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 Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research at NREL Advanced Petroleum BasedAdvanced Lockheed

  4. Energy Performance Benchmarking and Disclosure Policies for Public and

    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 on Delicious Rank EERE:FinancingPetroleum12, 2015 Infographic courtesyEducation DataMay 24, 2011September 10,Commercial

  5. State/Local Government Project Performance Benchmarks

    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 on Delicious RankADVANCED MANUFACTURINGEnergyPlan | Department of Energy 1 DOE Hydrogen and Fuel CellsAustin,State

  6. Commercial and Multifamily Building Benchmarking and Disclosure |

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartment ofCommercial Grade Dedication (CGD) isWaterDepartment of

  7. The Role of Emerging Technologies in Improving Energy Efficiency: Examples from the Food Processing Industry

    E-Print Network [OSTI]

    Lung, Robert Bruce; Masanet, Eric; McKane, Aimee

    2006-01-01

    Energy Benchmarking at the Company Level: Company Report Bakery,Bakery Magazine. http://www.radiofrequency.com/pressreleases/pr_13.html 26) Rumsey, T.R. , 1986, "Energy

  8. Benchmarking calculations of excitonic couplings between bacteriochlorophylls

    E-Print Network [OSTI]

    Kenny, Elise P

    2015-01-01

    Excitonic couplings between (bacterio)chlorophyll molecules are necessary for simulating energy transport in photosynthetic complexes. Many techniques for calculating the couplings are in use, from the simple (but inaccurate) point-dipole approximation to fully quantum-chemical methods. We compared several approximations to determine their range of applicability, noting that the propagation of experimental uncertainties poses a fundamental limit on the achievable accuracy. In particular, the uncertainty in crystallographic coordinates yields an uncertainty of about 20% in the calculated couplings. Because quantum-chemical corrections are smaller than 20% in most biologically relevant cases, their considerable computational cost is rarely justified. We therefore recommend the electrostatic TrEsp method across the entire range of molecular separations and orientations because its cost is minimal and it generally agrees with quantum-chemical calculations to better than the geometric uncertainty. We also caution ...

  9. 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

    2009-09-01

    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.

  10. 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)

    2004-04-15

    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.

  11. 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

    2012-11-01

    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.

  12. Benchmarking the Remote-Handled Waste Facility at the West Valley Demonstration Project

    SciTech Connect (OSTI)

    O. P. Mendiratta; D. K. Ploetz

    2000-02-29

    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.

  13. Benchmarking of finite element codes for radioactive material transportation packages

    SciTech Connect (OSTI)

    Ammerman, D.J.

    1996-10-01

    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.

  14. Demonstration of Robust Quantum Gate Tomography via Randomized Benchmarking

    E-Print Network [OSTI]

    Blake R. Johnson; Marcus P. da Silva; Colm A. Ryan; Shelby Kimmel; Jerry M. Chow; Thomas A. Ohki

    2015-05-25

    Typical quantum gate tomography protocols struggle with a self-consistency problem: the gate operation cannot be reconstructed without knowledge of the initial state and final measurement, but such knowledge cannot be obtained without well-characterized gates. A recently proposed technique, known as randomized benchmarking tomography (RBT), sidesteps this self-consistency problem by designing experiments to be insensitive to preparation and measurement imperfections. We implement this proposal in a superconducting qubit system, using a number of experimental improvements including implementing each of the elements of the Clifford group in single `atomic' pulses and custom control hardware to enable large overhead protocols. We show a robust reconstruction of several single-qubit quantum gates, including a unitary outside the Clifford group. We demonstrate that RBT yields physical gate reconstructions that are consistent with fidelities obtained by randomized benchmarking.

  15. Simulation of Enhanced Geothermal Systems: A Benchmarking and Code Intercomparison Study

    SciTech Connect (OSTI)

    Scheibe, Timothy D.; White, Mark D.; White, Signe K.; Sivaramakrishnan, Chandrika; Purohit, Sumit; Black, Gary D.; Podgorney, Robert; Boyd, Lauren W.; Phillips, Benjamin R.

    2013-06-30

    Numerical simulation codes have become critical tools for understanding complex geologic processes, as applied to technology assessment, system design, monitoring, and operational guidance. Recently the need for quantitatively evaluating coupled Thermodynamic, Hydrologic, geoMechanical, and geoChemical (THMC) processes has grown, driven by new applications such as geologic sequestration of greenhouse gases and development of unconventional energy sources. Here we focus on Enhanced Geothermal Systems (EGS), which are man-made geothermal reservoirs created where hot rock exists but there is insufficient natural permeability and/or pore fluids to allow efficient energy extraction. In an EGS, carefully controlled subsurface fluid injection is performed to enhance the permeability of pre-existing fractures, which facilitates fluid circulation and heat transport. EGS technologies are relatively new, and pose significant simulation challenges. To become a trusted analytical tool for EGS, numerical simulation codes must be tested to demonstrate that they adequately represent the coupled THMC processes of concern. This presentation describes the approach and status of a benchmarking and code intercomparison effort currently underway, supported by the U. S. Department of Energy’s Geothermal Technologies Program. This study is being closely coordinated with a parallel international effort sponsored by the International Partnership for Geothermal Technology (IPGT). We have defined an extensive suite of benchmark problems, test cases, and challenge problems, ranging in complexity and difficulty, and a number of modeling teams are applying various simulation tools to these problems. The descriptions of the problems and modeling results are being compiled using the Velo framework, a scientific workflow and data management environment accessible through a simple web-based interface.

  16. Benchmarking and performance improvement at Rocky Flats Technology Site

    SciTech Connect (OSTI)

    Elliott, C.; Doyle, G.; Featherman, W.L.

    1997-03-01

    The Rocky Flats Environmental Technology Site has initiated a major work process improvement campaign using the tools of formalized benchmarking and streamlining. This paper provides insights into some of the process improvement activities performed at Rocky Flats from November 1995 through December 1996. It reviews the background, motivation, methodology, results, and lessons learned from this ongoing effort. The paper also presents important gains realized through process analysis and improvement including significant cost savings, productivity improvements, and an enhanced understanding of site work processes.

  17. Benchmarking and tuning the MILC code on clusters and supercomputers

    SciTech Connect (OSTI)

    Steven A. Gottlieb

    2001-12-28

    Recently, we have benchmarked and tuned the MILC code on a number of architectures including Intel Itanium and Pentium IV (PIV), dual-CPU Athlon, and the latest Compaq Alpha nodes. Results will be presented for many of these, and we shall discuss some simple code changes that can result in a very dramatic speedup of the KS conjugate gradient on processors with more advanced memory systems such as PIV, IBM SP and Alpha.

  18. Energy and Environmental Profile of the Aluminum Industry

    SciTech Connect (OSTI)

    Margolis, Nancy

    1997-07-01

    This detailed report (PDF 2.5 MB) benchmarks the energy and environmental characteristics of the key technologies used in the major processes of the aluminum industry.

  19. Energy Implications of Economizer Use in California Data Centers

    E-Print Network [OSTI]

    Shehabi, Arman

    2008-01-01

    to Congress on Server and Data Center Energy Efficiency. ”2. Fontecchio, M. 2007. “Data center humidity levels sourceBest practices for data centers: Results from benchmarking

  20. Sandia Energy - Floating Oscillating Water Column Reference Model...

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

    to provide publicly available technical and economic benchmarks for a variety of marine energy converters. The final reference model, an oscillating water column (OWC)...

  1. Toxicological benchmarks for screening potential contaminants of concern for effects on aquatic biota: 1994 Revision

    SciTech Connect (OSTI)

    Suter, G.W. II [Oak Ridge National Lab., TN (United States)] [Oak Ridge National Lab., TN (United States); Mabrey, J.B. [University of West Florida, Pensacola, FL (United States)] [University of West Florida, Pensacola, FL (United States)

    1994-07-01

    This report presents potential screening benchmarks for protection of aquatic life from contaminants in water. Because there is no guidance for screening benchmarks, a set of alternative benchmarks is presented herein. The alternative benchmarks are based on different conceptual approaches to estimating concentrations causing significant effects. For the upper screening benchmark, there are the acute National Ambient Water Quality Criteria (NAWQC) and the Secondary Acute Values (SAV). The SAV concentrations are values estimated with 80% confidence not to exceed the unknown acute NAWQC for those chemicals with no NAWQC. The alternative chronic benchmarks are the chronic NAWQC, the Secondary Chronic Value (SCV), the lowest chronic values for fish and daphnids from chronic toxicity tests, the estimated EC20 for a sensitive species, and the concentration estimated to cause a 20% reduction in the recruit abundance of largemouth bass. It is recommended that ambient chemical concentrations be compared to all of these benchmarks. If NAWQC are exceeded, the chemicals must be contaminants of concern because the NAWQC are applicable or relevant and appropriate requirements (ARARs). If NAWQC are not exceeded, but other benchmarks are, contaminants should be selected on the basis of the number of benchmarks exceeded and the conservatism of the particular benchmark values, as discussed in the text. To the extent that toxicity data are available, this report presents the alternative benchmarks for chemicals that have been detected on the Oak Ridge Reservation. It also presents the data used to calculate benchmarks and the sources of the data. It compares the benchmarks and discusses their relative conservatism and utility.

  2. Jackson Park Hospital Green Building Medical Center

    SciTech Connect (OSTI)

    William Dorsey; Nelson Vasquez

    2010-03-31

    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.

  3. Hospital valuation in emerging countries

    E-Print Network [OSTI]

    Segawa, Tsuyoshi, M.B.A. Massachusetts Institute of Technology

    2013-01-01

    Private health players in emerging countries have increased their presence and contributed to global health issues, but have been undervalued in financing. A variety of health players have evolved and hospitals have played ...

  4. A Benchmarking System for Mobile Ad Hoc Network Routing Protocols

    E-Print Network [OSTI]

    Hiranandani, Daniel

    2012-01-01

    Smart EnergyMap . . . . . . . . . . . . . . . . . . Smart Energy GridSelected for Smart Energy Grid Scenario . . . . . . . . .

  5. Benchmark data for validating irradiated fuel compositions used in criticality calculations

    SciTech Connect (OSTI)

    Bierman, S.R.; Talbert, R.J.

    1994-10-01

    To establish criticality safety margins utilizing burnup credit in the storage and transport of spent reactor fuels requires a knowledge of the uncertainty in the calculated fuel composition used in making the reactivity assessment. To provide data for validating such calculated burnup fuel compositions, radiochemical assays have been obtained as part of the United States Department of Energy From-Reactor Cask Development Program. Assay results and associated operating histories on the initial three samples analyzed in this effort are presented. The three samples were taken from different axial regions of a Pressurized Water Reactor fuel rod and represent radiation exposures of about 37, 27, and 44 GWd/MTU. The data are presented in a benchmark type format to facilitate identification/referencing and computer code input.

  6. Integral Benchmark Data for Nuclear Data Testing Through the ICSBEP & IRPhEP

    SciTech Connect (OSTI)

    J. Blair Briggs; John D. Bess; Jim Gulliford; Ian Hill

    2013-10-01

    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.

  7. Benchmarking and Performance Improvement at Rocky Flats Environmental Technology Site

    SciTech Connect (OSTI)

    Elliott, C. , Doyle, D. , Featherman, W.D.

    1997-12-31

    The Rocky Flats Environmental Technology Site (RFETS) has initiated a major work process improvement campaign using the tools of formalized benchmarking and streamlining. This paper provides insights into some of the process improvement activities performed at Rocky Flats from November 1995 through December 1996. It reviews the background, motivation, methodology, results, and lessons learned from this ongoing effort. The paper also presents important gains realized through process analysis and improvement including significant cost savings, productivity improvements, and an enhanced understanding of site work processes.

  8. Benchmark enclosure fire suppression experiments - phase 1 test report.

    SciTech Connect (OSTI)

    Figueroa, Victor G.; Nichols, Robert Thomas; Blanchat, Thomas K.

    2007-06-01

    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.

  9. REPORT FOR COMMERCIAL GRADE NICKEL CHARACTERIZATION AND BENCHMARKING

    SciTech Connect (OSTI)

    None

    2012-12-20

    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.

  10. Benchmarking / Crosschecking DFS in the ILC Main Linac (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing Bacteria (Technical Report) | SciTechReport) |ScienceSciTech Connect Benchmarking /

  11. Benchmarking / Crosschecking DFS in the ILC Main Linac (Technical Report) |

    Office of Scientific and Technical Information (OSTI)

    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 Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefieldSulfate Reducing Bacteria (Technical Report) | SciTechReport) |ScienceSciTech Connect Benchmarking

  12. 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.

    2014-08-14

    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.

  13. CALiPER Benchmark Report: Performance of Incandescent A Type and Decorative Lamps and LED Replacements

    SciTech Connect (OSTI)

    None

    2008-11-01

    This benchmark report addresses common omnidirectional incandescent lamps - A-type and small decorative, candelabra-type lamps - and their commercially available light-emitting diode (LED) replacements.

  14. 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.

    2009-01-16

    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.

  15. 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.

    2012-06-19

    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.

  16. A Programming Model Performance Study Using the NAS Parallel Benchmarks

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

    Shan, Hongzhang; Blagojevi?, Filip; Min, Seung-Jai; Hargrove, Paul; Jin, Haoqiang; Fuerlinger, Karl; Koniges, Alice; Wright, Nicholas J.

    2010-01-01

    Harnessing the power of multicore platforms is challenging due to the additional levels of parallelism present. In this paper we use the NAS Parallel Benchmarks to study three programming models, MPI, OpenMP and PGAS to understand their performance and memory usage characteristics on current multicore architectures. To understand these characteristics we use the Integrated Performance Monitoring tool and other ways to measure communication versus computation time, as well as the fraction of the run time spent in OpenMP. The benchmarks are run on two different Cray XT5 systems and an Infiniband cluster. Our results show that in general the threemore »programming models exhibit very similar performance characteristics. In a few cases, OpenMP is significantly faster because it explicitly avoids communication. For these particular cases, we were able to re-write the UPC versions and achieve equal performance to OpenMP. Using OpenMP was also the most advantageous in terms of memory usage. Also we compare performance differences between the two Cray systems, which have quad-core and hex-core processors. We show that at scale the performance is almost always slower on the hex-core system because of increased contention for network resources.« less

  17. Criticality Benchmark Analysis of Water-Reflected Uranium Oxyfluoride Slabs

    SciTech Connect (OSTI)

    Margaret A. Marshall; John D. Bess

    2009-11-01

    A series of twelve experiments were conducted in the mid 1950's at the Oak Ridge National Laboratory Critical Experiments Facility to determine the critical conditions of a semi-infinite water-reflected slab of aqueous uranium oxyfluoride (UO2F2). A different slab thickness was used for each experiment. Results from the twelve experiment recorded in the laboratory notebook were published in Reference 1. Seven of the twelve experiments were determined to be acceptable benchmark experiments for the inclusion in the International Handbook of Evaluated Criticality Safety Benchmark Experiments. This evaluation will not only be available to handbook users for the validation of computer codes and integral cross-section data, but also for the reevaluation of experimental data used in the ANSI/ANS-8.1 standard. This evaluation is important as part of the technical basis of the subcritical slab limits in ANSI/ANS-8.1. The original publication of the experimental results was used for the determination of bias and bias uncertainties for subcritical slab limits, as documented by Hugh Clark's paper 'Subcritical Limits for Uranium-235 Systems'.

  18. Energy Efficiency Improvement and Cost Saving Opportunities for the Fruit and Vegetable Processing Industry. An ENERGY STAR Guide for Energy and Plant Managers

    E-Print Network [OSTI]

    Masanet, Eric

    2008-01-01

    temperature (and thus the best energy efficiency) and lowerU.S. EPA/DOE) (2003). Best Practices - Energy Recovery for2005b). BEST Winery Guidebook: Benchmarking and Energy and

  19. 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

  20. The QALL-ME Benchmark: a Multilingual Resource of Annotated Spoken Requests for Question Answering

    E-Print Network [OSTI]

    Neumann, Günter

    -ME benchmark, a multilingual resource of annotated spoken requests in the tourism domain, freely available. It introduces a semantic annotation scheme for spoken information access requests, specifically derived from spoken requests in the tourism domain, freely available for research purposes. The QALL- ME benchmark

  1. DiSC: Benchmarking Secure Chip DBMS Nicolas Anciaux, Luc Bouganim, Philippe Pucheral, and Patrick Valduriez

    E-Print Network [OSTI]

    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

  2. Dynamic On-the-Fly Minimum Cost Benchmarking for Storing Generated Scientific

    E-Print Network [OSTI]

    Yang, Yun

    IEEEProof Dynamic On-the-Fly Minimum Cost Benchmarking for Storing Generated Scientific Datasets some generated datasets to save the storage cost but more computation cost is incurred for regeneration with efficient algorithms for dynamic yet practical on-the-fly minimum cost benchmarking of storing generated

  3. The ORSphere Benchmark Evaluation and Its Potential Impact on Nuclear Criticality Safety

    SciTech Connect (OSTI)

    John D. Bess; Margaret A. Marshall; J. Blair Briggs

    2013-10-01

    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.

  4. A Benchmarking Technique for DBMS`s with Advanced Data Models

    E-Print Network [OSTI]

    Chen, Shu-Ching

    of Computer Science Florida International University, University Park, Miami, FL 33199 (305)348-1706, Fax (305 of database benchmarks currently in use in the industry were designed for relational databases. A different is more efficient for this particular class. Benchmarks used in the industry today are always oriented

  5. 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

    2014-01-15

    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.

  6. 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

    2014-01-01

    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.

  7. 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

    2007-04-01

    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.

  8. Operating and Maintaining Energy Smart Schools Action Plan Template - All Action Plans

    SciTech Connect (OSTI)

    none,

    2009-07-01

    EnergySmart Schools action plan templates for benchmarking, lighting, HVAC, water heating, building envelope, transformer, plug loads, kitchen equipment, swimming pool, building automation system, other.

  9. Energy and Environmental Profile of the U.S. Pulp and Paper Industry

    SciTech Connect (OSTI)

    Miller, Melanie; Justiniano, Mauricio; McQueen, Shawna

    2005-12-01

    This detailed report benchmarks the energy and environmental characteristics of the key technologies used in the major processes of the United States pulp and paper industry.

  10. Energy and Environmental Profile of the U.S. Metal Casting Industry

    SciTech Connect (OSTI)

    None

    1999-09-01

    This detailed report benchmarks the energy and environmental characteristics of the key technologies used in the major processes of the metal casting industry.

  11. Energy and Environmental Profile of the U.S. Glass Industry

    SciTech Connect (OSTI)

    Pellegrino, Joan L.

    2002-04-01

    This detailed report benchmarks the energy and environmental characteristics of the key technologies used in the major processes of the glass industry.

  12. Energy use in selected metal casting facilities - 2003

    SciTech Connect (OSTI)

    Eppich, Robert E.

    2004-05-01

    This report represents an energy benchmark for various metal casting processes. It describes process flows and energy use by fuel type and processes for selected casting operations. It also provides recommendations for improving energy efficiency in casting.

  13. ITP Metal Casting: Energy Use in Selected Metalcasting Facilities- 2003

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report represents an energy benchmark for various metalcasting processes. It describes process flows and energy use by fuel type and processes for selected casting operations. It also provides recommendations for improving energy efficiency in casti

  14. Benchmarking Of Improved DPAC Transient Deflagration Analysis Code

    SciTech Connect (OSTI)

    Laurinat, James E.; Hensel, Steve J.

    2013-03-21

    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.

  15. Experimental Criticality Benchmarks for SNAP 10A/2 Reactor Cores

    SciTech Connect (OSTI)

    Krass, A.W.

    2005-12-19

    This report describes computational benchmark models for nuclear criticality derived from descriptions of the Systems for Nuclear Auxiliary Power (SNAP) Critical Assembly (SCA)-4B experimental criticality program conducted by Atomics International during the early 1960's. The selected experimental configurations consist of fueled SNAP 10A/2-type reactor cores subject to varied conditions of water immersion and reflection under experimental control to measure neutron multiplication. SNAP 10A/2-type reactor cores are compact volumes fueled and moderated with the hydride of highly enriched uranium-zirconium alloy. Specifications for the materials and geometry needed to describe a given experimental configuration for a model using MCNP5 are provided. The material and geometry specifications are adequate to permit user development of input for alternative nuclear safety codes, such as KENO. A total of 73 distinct experimental configurations are described.

  16. High Performance Healthcare Buildings: A Roadmap to Improved Energy Efficiency

    SciTech Connect (OSTI)

    Singer, Brett C.; Tschudi, William F.

    2009-09-08

    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.

  17. 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

  18. The architecture of safety: hospital design

    E-Print Network [OSTI]

    Joseph, Anjali; Rashid, Mahbub

    2007-12-01

    Purpose of review: This paper reviews recent research literature reporting the effects of hospital design on patient safety. Recent findings: Features of hospital design that are linked to patient safety in the literature include noise, air...

  19. 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

    2010-01-01

    Study of Energy Efficiency in Buildings. ACEEE, Washington©2010 ACEEE Summer Study on Energy Efficiency in BuildingsSummer Study on Energy Efficiency in Buildings Mathew, P. ,

  20. Category:Hospital | Open Energy Information

    Open Energy Info (EERE)

    of Memphis Tennessee (Utility Company).png SVHospital Nashville T... 71 KB SVHospital Salt Lake City UT Moon Lake Electric Assn Inc (Utah).png SVHospital Salt Lake C... 57 KB...

  1. Healthcare Energy: Massachusetts General Hospital Gray Building...

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

    Floor Space: 332,664 ft2 The Gray Building is an inpatient care facility, and its space types include exam rooms; treatment rooms; procedure rooms; operating rooms; research...

  2. SECTION 2 -HOSPITAL SALARY (salary paid to the employee by the hospital) SECTION 1 -PERSONAL DETAILS

    E-Print Network [OSTI]

    Tobar, Michael

    SECTION 2 - HOSPITAL SALARY (salary paid to the employee by the hospital) SECTION 1 - PERSONAL Location UWA School SECTION 4 - UWA SALARY (salary paid to the employee by the University) SECTION 3 - HOSPITAL SUPERANNUATION A base hospital salary amount (including a supplementary clinical loading) plus

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

    E-Print Network [OSTI]

    Mathew, Paul A.

    2010-01-01

    Study of Energy Efficiency in Buildings. ACEEE, WashingtonStudy of Energy Efficiency in Buildings. ACEEE, Washington,

  4. 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

    2010-11-29

    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.

  5. Terry Sharp, P.E. Building Performance Benchmarking

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    -26, 2007 EPA Energy Star Program and Energy Data Normalization Oak Ridge National Laboratory #12;Why You performance ratings identify where to focus energy and cost reduction efforts · Advanced energy data available from EPA's Energy Star Program · Energy data normalization · Related work initiated to support

  6. 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

  7. Detailed high-accuracy megavoltage transmission measurements: A sensitive experimental benchmark of EGSnrc

    SciTech Connect (OSTI)

    Ali, E. S. M.; McEwen, M. R.; Rogers, D. W. O.

    2012-10-15

    Purpose: There are three goals for this study: (a) to perform detailed megavoltage transmission measurements in order to identify the factors that affect the measurement accuracy, (b) to use the measured data as a benchmark for the EGSnrc system in order to identify the computational limiting factors, and (c) to provide data for others to benchmark Monte Carlo codes. Methods: Transmission measurements are performed at the National Research Council Canada on a research linac whose incident electron parameters are independently known. Automated transmission measurements are made on-axis, down to a transmission value of {approx}1.7%, for eight beams between 10 MV (the lowest stable MV beam on the linac) and 30 MV, using fully stopping Be, Al, and Pb bremsstrahlung targets and no fattening filters. To diversify energy differentiation, data are acquired for each beam using low-Z and high-Z attenuators (C and Pb) and Farmer chambers with low-Z and high-Z buildup caps. Experimental corrections are applied for beam drifts (2%), polarity (2.5% typical maximum, 6% extreme), ion recombination (0.2%), leakage (0.3%), and room scatter (0.8%)-the values in parentheses are the largest corrections applied. The experimental setup and the detectors are modeled using EGSnrc, with the newly added photonuclear attenuation included (up to a 5.6% effect). A detailed sensitivity analysis is carried out for the measured and calculated transmission data. Results: The developed experimental protocol allows for transmission measurements with 0.4% uncertainty on the smallest signals. Suggestions for accurate transmission measurements are provided. Measurements and EGSnrc calculations agree typically within 0.2% for the sensitivity of the transmission values to the detector details, to the bremsstrahlung target material, and to the incident electron energy. Direct comparison of the measured and calculated transmission data shows agreement better than 2% for C (3.4% for the 10 MV beam) and typically better than 1% for Pb. The differences can be explained by acceptable photon cross section changes of Less-Than-Or-Slanted-Equal-To 0.4%. Conclusions: Accurate transmission measurements require accounting for a number of influence quantities which, if ignored, can collectively introduce errors larger than 10%. Accurate transmission calculations require the use of the most accurate data and physics options available in EGSnrc, particularly the more accurate bremsstrahlung angular sampling option and the newly added modeling of photonuclear attenuation. Comparison between measurements and calculations implies that EGSnrc is accurate within 0.2% for relative ion chamber response calculations. Photon cross section uncertainties are the ultimate limiting factor for the accuracy of the calculated transmission data (Monte Carlo or analytical).

  8. 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

    2014-05-05

    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.

  9. Benchmarking Non-Hardware Balance-of-System (Soft) Costs for U.S. Photovoltaic Systems, Using a Bottom-Up Approach and Installer Survey - Second Edition

    SciTech Connect (OSTI)

    Friedman, B.; Ardani, K.; Feldman, D.; Citron, R.; Margolis, R.; Zuboy, J.

    2013-10-01

    This report presents results from the second U.S. Department of Energy (DOE) sponsored, bottom-up data-collection and analysis of non-hardware balance-of-system costs -- often referred to as 'business process' or 'soft' costs -- for U.S. residential and commercial photovoltaic (PV) systems. In service to DOE's SunShot Initiative, annual expenditure and labor-hour-productivity data are analyzed to benchmark 2012 soft costs related to (1) customer acquisition and system design (2) permitting, inspection, and interconnection (PII). We also include an in-depth analysis of costs related to financing, overhead, and profit. Soft costs are both a major challenge and a major opportunity for reducing PV system prices and stimulating SunShot-level PV deployment in the United States. The data and analysis in this series of benchmarking reports are a step toward the more detailed understanding of PV soft costs required to track and accelerate these price reductions.

  10. ENDF/B-VII.1 Neutron Cross Section Data Testing with Critical Assembly Benchmarks and Reactor Experiments

    SciTech Connect (OSTI)

    G. Palmiotti

    2011-12-01

    The ENDF/B-VII.1 library is the latest revision to the United States' Evaluated Nuclear Data File (ENDF). The ENDF library is currently in its seventh generation, with ENDF/B-VII.0 being released in 2006. This revision expands upon that library, including the addition of new evaluated files (was 393 neutron files previously, now 418 including replacement of elemental vanadium and zinc evaluations with isotopic evaluations) and extension or updating of many existing neutron data files. Complete details are provided in the companion paper [1]. This paper focuses on how accurately application libraries may be expected to perform in criticality calculations with these data. Continuous energy cross section libraries, suitable for use with the MCNP Monte Carlo transport code, have been generated and applied to a suite of nearly one thousand critical benchmark assemblies defined in the International Criticality Safety Benchmark Evaluation Project's International Handbook of Evaluated Criticality Safety Benchmark Experiments. This suite covers uranium and plutonium fuel systems in a variety of forms such as metallic, oxide or solution, and under a variety of spectral conditions, including unmoderated (i.e., bare), metal reflected and water or other light element reflected. Assembly eigenvalues that were accurately predicted with ENDF/B-VII.0 cross sections such as unmoderated and uranium reflected 235U and 239Pu assemblies, HEU solution systems and LEU oxide lattice systems that mimic commercial PWR configurations continue to be accurately calculated with ENDF/B-VII.1 cross sections, and deficiencies in predicted eigenvalues for assemblies containing selected materials, including titanium, manganese, cadmium and tungsten are greatly reduced. Improvements are also confirmed for selected actinide reaction rates such as 236U capture. Other deficiencies, such as the overprediction of Pu solution system critical eigenvalues and a decreasing trend in calculated eigenvalue for 233U fueled systems as a function of Above-Thermal Fission Fraction remain. The comprehensive nature of this critical benchmark suite and the generally accurate calculated eigenvalues obtained with ENDF/B-VII.1 neutron cross sections support the conclusion that this is the most accurate general purpose ENDF/B cross section library yet released to the technical community.

  11. Energy Department's Hospital Energy Alliance Helps Partner Save 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 on Delicious Rank EERE:FinancingPetroleum12, 2015 Infographic courtesy ofDepartmentPortlandDepartmentand Money |

  12. Newly Available Reactor Physics Benchmark data in the March 2011 Edition of the IRPhEP Handbook

    SciTech Connect (OSTI)

    John D. Bess; J. Blair Briggs; Jim Gulliford

    2011-06-01

    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 data are compromised, it is unlikely that any of these measurements would be repeated in the future. 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). Several new evaluations have been prepared for inclusion in the March 2011 edition of the IRPhEP Handbook.

  13. Radcalc for windows benchmark study: A comparison of software results with Rocky Flats hydrogen gas generation data

    SciTech Connect (OSTI)

    MCFADDEN, J.G.

    1999-07-19

    Radcalc for Windows Version 2.01 is a user-friendly software program developed by Waste Management Federal Services, Inc., Northwest Operations for the U.S. Department of Energy (McFadden et al. 1998). It is used for transportation and packaging applications in the shipment of radioactive waste materials. Among its applications are the classification of waste per the US. Department of Transportation regulations, the calculation of decay heat and daughter products, and the calculation of the radiolytic production of hydrogen gas. The Radcalc program has been extensively tested and validated (Green et al. 1995, McFadden et al. 1998) by comparison of each Radcalc algorithm to hand calculations. An opportunity to benchmark Radcalc hydrogen gas generation calculations to experimental data arose when the Rocky Flats Environmental Technology Site (RFETS) Residue Stabilization Program collected hydrogen gas generation data to determine compliance with requirements for shipment of waste in the TRUPACT-II (Schierloh 1998). The residue/waste drums tested at RFETS contain contaminated, solid, inorganic materials in polyethylene bags. The contamination is predominantly due to plutonium and americium isotopes. The information provided by Schierloh (1 998) of RFETS includes decay heat, hydrogen gas generation rates, calculated G{sub eff} values, and waste material type, making the experimental data ideal for benchmarking Radcalc. The following sections discuss the RFETS data and the Radcalc cases modeled with the data. Results are tabulated and also provided graphically.

  14. Benchmarking gyrokinetic simulations in a toroidal flux-tube

    SciTech Connect (OSTI)

    Chen, Y.; Parker, S. E.; Wan, W. [University of Colorado at Boulder, Boulder, Colorado 80309 (United States)] [University of Colorado at Boulder, Boulder, Colorado 80309 (United States); Bravenec, R. [Fourth-State Research, Austin, Texas 78704 (United States)] [Fourth-State Research, Austin, Texas 78704 (United States)

    2013-09-15

    A flux-tube model is implemented in the global turbulence code GEM [Y. Chen and S. E. Parker, J. Comput. Phys. 220, 839 (2007)] in order to facilitate benchmarking with Eulerian codes. The global GEM assumes the magnetic equilibrium to be completely given. The initial flux-tube implementation simply selects a radial location as the center of the flux-tube and a radial size of the flux-tube, sets all equilibrium quantities (B, ?B, etc.) to be equal to the values at the center of the flux-tube, and retains only a linear radial profile of the safety factor needed for boundary conditions. This implementation shows disagreement with Eulerian codes in linear simulations. An alternative flux-tube model based on a complete local equilibrium solution of the Grad-Shafranov equation [J. Candy, Plasma Phys. Controlled Fusion 51, 105009 (2009)] is then implemented. This results in better agreement between Eulerian codes and the particle-in-cell (PIC) method. The PIC algorithm based on the v{sub ||}-formalism [J. Reynders, Ph.D. dissertation, Princeton University, 1992] and the gyrokinetic ion/fluid electron hybrid model with kinetic electron closure [Y. Chan and S. E. Parker, Phys. Plasmas 18, 055703 (2011)] are also implemented in the flux-tube geometry and compared with the direct method for both the ion temperature gradient driven modes and the kinetic ballooning modes.

  15. JOVIAN STRATOSPHERE AS A CHEMICAL TRANSPORT SYSTEM: BENCHMARK ANALYTICAL SOLUTIONS

    SciTech Connect (OSTI)

    Zhang Xi; Shia Runlie; Yung, Yuk L.

    2013-04-20

    We systematically investigated the solvable analytical benchmark cases in both one- and two-dimensional (1D and 2D) chemical-advective-diffusive systems. We use the stratosphere of Jupiter as an example but the results can be applied to other planetary atmospheres and exoplanetary atmospheres. In the 1D system, we show that CH{sub 4} and C{sub 2}H{sub 6} are mainly in diffusive equilibrium, and the C{sub 2}H{sub 2} profile can be approximated by modified Bessel functions. In the 2D system in the meridional plane, analytical solutions for two typical circulation patterns are derived. Simple tracer transport modeling demonstrates that the distribution of a short-lived species (such as C{sub 2}H{sub 2}) is dominated by the local chemical sources and sinks, while that of a long-lived species (such as C{sub 2}H{sub 6}) is significantly influenced by the circulation pattern. We find that an equator-to-pole circulation could qualitatively explain the Cassini observations, but a pure diffusive transport process could not. For slowly rotating planets like the close-in extrasolar planets, the interaction between the advection by the zonal wind and chemistry might cause a phase lag between the final tracer distribution and the original source distribution. The numerical simulation results from the 2D Caltech/JPL chemistry-transport model agree well with the analytical solutions for various cases.

  16. Benchmark Evaluation of Plutonium Hemispheres Reflected by Steel and Oil

    SciTech Connect (OSTI)

    John Darrell Bess

    2008-06-01

    During the period from June 1967 through September 1969 a series of critical experiments was performed at the Rocky Flats Critical Mass Laboratory with spherical and hemispherical plutonium assemblies as nested hemishells as part of a Nuclear Safety Facility Experimental Program to evaluate operational safety margins for the Rocky Flats Plant. These assemblies were both bare and fully or partially oil-reflected. Many of these experiments were subcritical with an extrapolation to critical configurations or critical at a particular oil height. Existing records reveal that 167 experiments were performed over the course of 28 months. Unfortunately, much of the data was not recorded. A reevaluation of the experiments had been summarized in a report for future experimental and computational analyses. This report examines only fifteen partially oil-reflected hemispherical assemblies. Fourteen of these assemblies also had close-fitting stainless-steel hemishell reflectors, used to determine the effective critical reflector height of oil with varying steel-reflector thickness. The experiments and their uncertainty in keff values were evaluated to determine their potential as valid criticality benchmark experiments of plutonium.

  17. Impact of the 235U Covariance Data in Benchmark Calculations

    SciTech Connect (OSTI)

    Leal, Luiz C [ORNL] [ORNL; Mueller, Don [ORNL] [ORNL; Arbanas, Goran [ORNL] [ORNL; Wiarda, Dorothea [ORNL] [ORNL; Derrien, Herve [ORNL] [ORNL

    2008-01-01

    The error estimation for calculated quantities relies on nuclear data uncertainty information available in the basic nuclear data libraries such as the U.S. Evaluated Nuclear Data File (ENDF/B). The uncertainty files (covariance matrices) in the ENDF/B library are generally obtained from analysis of experimental data. In the resonance region, the computer code SAMMY is used for analyses of experimental data and generation of resonance parameters. In addition to resonance parameters evaluation, SAMMY also generates resonance parameter covariance matrices (RPCM). SAMMY uses the generalized least-squares formalism (Bayes method) together with the resonance formalism (R-matrix theory) for analysis of experimental data. Two approaches are available for creation of resonance-parameter covariance data. (1) During the data-evaluation process, SAMMY generates both a set of resonance parameters that fit the experimental data and the associated resonance-parameter covariance matrix. (2) For existing resonance-parameter evaluations for which no resonance-parameter covariance data are available, SAMMY can retroactively create a resonance-parameter covariance matrix. The retroactive method was used to generate covariance data for 235U. The resulting 235U covariance matrix was then used as input to the PUFF-IV code, which processed the covariance data into multigroup form, and to the TSUNAMI code, which calculated the uncertainty in the multiplication factor due to uncertainty in the experimental cross sections. The objective of this work is to demonstrate the use of the 235U covariance data in calculations of critical benchmark systems.

  18. Growth and Expansion of the International Criticality Safety Benchmark Evaluation Project and the Newly Organized International Reactor Physics Experiment Evaluation Project

    SciTech Connect (OSTI)

    J. Blair Briggs; Lori Scott; Yolanda Rugama; Enrico Satori

    2007-05-01

    Since ICNC 2003, the International Criticality Safety Benchmark Evaluation Project (ICSBEP) has continued to expand its efforts and broaden its scope. Criticality-alarm / shielding type benchmarks and fundamental physics measurements that are relevant to criticality safety applications are not only included in the scope of the project, but benchmark data are also included in the latest version of the handbook. A considerable number of improvements have been made to the searchable database, DICE and the criticality-alarm / shielding benchmarks and fundamental physics measurements have been included in the database. There were 12 countries participating on the ICSBEP in 2003. That number has increased to 18 with recent contributions of data and/or resources from Brazil, Czech Republic, Poland, India, Canada, and China. South Africa, Germany, Argentina, and Australia have been invited to participate. Since ICNC 2003, the contents of the “International Handbook of Evaluated Criticality Safety Benchmark Experiments” have increased from 350 evaluations (28,000 pages) containing benchmark specifications for 3070 critical or subcritical configurations to 442 evaluations (over 38,000 pages) containing benchmark specifications for 3957 critical or subcritical configurations, 23 criticality-alarm-placement / shielding configurations with multiple dose points for each, and 20 configurations that have been categorized as fundamental physics measurements that are relevant to criticality safety applications in the 2006 Edition of the ICSBEP Handbook. Approximately 30 new evaluations and 250 additional configurations are expected to be added to the 2007 Edition of the Handbook. Since ICNC 2003, a reactor physics counterpart to the ICSBEP, The International Reactor Physics Experiment Evaluation Project (IRPhEP) was initiated. Beginning in 1999, the IRPhEP was conducted as a pilot activity by the by the Organization of Economic Cooperation and Development (OECD) Nuclear Energy Agency (NEA) Nuclear Science Committee (NSC). The project was endorsed as an official activity of the NSC in June of 2003. The IRPhEP is patterned after its predecessor, 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 types of measurements in addition to the critical configuration. The two projects are closely coordinated to avoid duplication of effort and to leverage limited resources to achieve a common goal. The purpose of the IRPhEP is to provide an extensively peer reviewed set of reactor physics related integral benchmark 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. While coordination and administration of the IRPhEP takes place at an international level, each participating country is responsible for the administration, technical direction, and priorities of the project within their respective countries. The work of the IRPhEP is documented in an OECD NEA Handbook entitled, “International Handbook of Evaluated Reactor Physics Benchmark Experiments.” The first edition of this Handbook, the 2006 Edition spans over 2000 pages and contains data from 16 different experimental series that were

  19. Development of a California commercial building benchmarking database

    E-Print Network [OSTI]

    Kinney, Satkartar; Piette, Mary Ann

    2002-01-01

    Summer Study on Energy Efficiency in Buildings (3): 305-316.Study on Energy Efficiency in Buildings, (4): 205-210.Study on Energy Efficiency in Buildings, (4): 177-185.

  20. MANET Protocol Simulations Considered Harmful: The Case for Benchmarking

    E-Print Network [OSTI]

    Garcia-Luna-Aceves, J.J.

    2013-01-01

    as fixed data sinks in smart energy meter networks [6] ordropped packets. In Smart energy meters Parameter Value2 ¥ 2) equipped with smart energy meters that are able to