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. Energy Benchmarking and Disclosure

    Broader source: Energy.gov [DOE]

    Energy benchmarking and disclosure is a market-based policy tool used to increase building energy performance awareness and transparency among key stakeholders and create demand for energy efficiency improvements.

  3. Optional Residential Program Benchmarking | Department of Energy

    Energy Savers [EERE]

    Guide to Benchmarking Residential Program Progress Webcast Slides Lessons Learned: Measuring Program Outcomes and Using Benchmarks Guide for Benchmarking Residential Energy ...

  4. Researching Energy Use in Hospitals

    Broader source: Energy.gov [DOE]

    Historically, when hospital facility and energy managers have compared alternative energy efficiency investments for various end-use systems, their benchmarks have been limited to end-use estimates...

  5. Building Energy Use Benchmarking | Department of Energy

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

    Building Energy Use Benchmarking Building Energy Use Benchmarking Benchmarking is the practice of comparing the measured performance of a device, process, facility, or organization to itself, its peers, or established norms, with the goal of informing and motivating performance improvement. When applied to building energy use, benchmarking serves as a mechanism to measure energy performance of a single building over time, relative to other similar buildings, or to modeled simulations of a

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

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

    Monitoring and Benchmarking for Energy Information Systems Monitoring and Benchmarking for Energy Information Systems Figure 1: Features of a sample CBERD energy information system ...

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

    Energy Savers [EERE]

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

  8. California commercial building energy benchmarking

    SciTech Connect (OSTI)

    Kinney, Satkartar; Piette, Mary Ann

    2003-07-01

    Building energy benchmarking is the comparison of whole-building energy use relative to a set of similar buildings. It provides a useful starting point for individual energy audits and for targeting buildings for energy-saving measures in multiple-site audits. Benchmarking is of interest and practical use to a number of groups. Energy service companies and performance contractors communicate energy savings potential with ''typical'' and ''best-practice'' benchmarks while control companies and utilities can provide direct tracking of energy use and combine data from multiple buildings. Benchmarking is also useful in the design stage of a new building or retrofit to determine if a design is relatively efficient. Energy managers and building owners have an ongoing interest in comparing energy performance to others. Large corporations, schools, and government agencies with numerous facilities also use benchmarking methods to compare their buildings to each other. The primary goal of Task 2.1.1 Web-based Benchmarking was the development of a web-based benchmarking tool, dubbed Cal-Arch, for benchmarking energy use in California commercial buildings. While there were several other benchmarking tools available to California consumers prior to the development of Cal-Arch, there were none that were based solely on California data. Most available benchmarking information, including the Energy Star performance rating, were developed using DOE's Commercial Building Energy Consumption Survey (CBECS), which does not provide state-level data. Each database and tool has advantages as well as limitations, such as the number of buildings and the coverage by type, climate regions and end uses. There is considerable commercial interest in benchmarking because it provides an inexpensive method of screening buildings for tune-ups and retrofits. However, private companies who collect and manage consumption data are concerned that the identities of building owners might be revealed and

  9. Healthcare Project Performance Benchmarks | Department of Energy

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

    Healthcare Project Performance Benchmarks Healthcare Project Performance Benchmarks Reports five major performance metrics that can be used to benchmark proposed energy service company projects within the healthcare industry, disaggregated and reported by major retrofit strategy. Author: U.S. Department of Energy healthcareprojectperformancebenchmarks.pdf (1.76 MB) More Documents & Publications Public Housing Project Performance Benchmarks Federal Government Project Performance Benchmarks

  10. Benchmarking Help Center Guide | Department of Energy

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

    Help Center Guide Benchmarking Help Center Guide This guide provides recommendations for establishing a benchmarking help center based on experiences and lessons learned in New York City and Seattle. Benchmarking Help Center Guide (884.45 KB) More Documents & Publications Energy Disclosure and Leasing Standards: Best Practices Benchmarking Outreach and Data Collection Techniques for External Portfolios Energy Performance Benchmarking and Disclosure Policies for Public and Commercial

  11. Benchmarking and Energy Saving Tool | Open Energy Information

    Open Energy Info (EERE)

    User Interface: Spreadsheet Website: industrial-energy.lbl.govnode100 Cost: Free Language: English References: Benchmarking and Energy Saving Tool 1 Logo: Benchmarking and...

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

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

    K-12 Schools Project Performance Benchmarks K-12 Schools Project Performance Benchmarks Reports five major performance metrics that can be used to benchmark proposed energy service ...

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

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

    Local Governments Energy Benchmarking, Rating, and Disclosure for Local Governments Existing Commercial Buildings Working Group fact sheet about energy benchmarking. Energy ...

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

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

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

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

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

    Resources Help Measure Building Energy Benchmarking Policy & Program Effectiveness DOE Resources Help Measure Building Energy Benchmarking Policy & Program Effectiveness May 21,...

  16. Guide for Benchmarking Residential Energy Efficiency Program Progress |

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

    Department of Energy Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress as part of the DOE Better Buildings Program. Guide for Benchmarking Residential Energy Efficiency Program Progress (1.27 MB) More Documents & Publications Guide for Benchmarking Residential Program Progress with Examples Optional Residential Program Benchmarking Guide to Benchmarking Residential

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

    Broader source: Energy.gov [DOE]

    Existing Commercial Buildings Working Group fact sheet about energy benchmarking for state governments.

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

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

    Performance Benchmarking and Disclosure Policies for Public and Commercial Buildings Energy Performance Benchmarking and Disclosure Policies for Public and Commercial Buildings ...

  19. 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.

  20. Energy Data Management Webinar Series - Part 2: Benchmarking Energy Data

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

    Analysis | Department of Energy 7, 2016 3:00PM to 4:30PM MDT Benchmarking is a proactive approach to energy management that emphasizes continuous improvement. It helps organizations manage their energy use rather than react to it. Benchmarking can also help to assess the effectiveness of your current operations. Personnel from cities, communities, and states that have implemented or are considering implementing a benchmarking and/or disclosure program or policy and are preparing their

  1. 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.

  2. Federal Building Energy Use Benchmarking Guidance, August 2014 Update

    Broader source: Energy.gov [DOE]

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

  3. Guide for Benchmarking Residential Energy Efficiency Program Progress

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

    Residential Program Benchmarking Guide 1 DRAFT - November 14, 2014 Guide for Benchmarking Residential Energy Efficiency Program Progress Prepared for the Building Technologies Office Energy Efficiency and Renewable Energy U.S. Department of Energy by Vermont Energy Investment Corporation Under contract to Eastern Research Group REVIEW OPPORTUNITY Home energy upgrade programs are being sought to review this draft Guide for Benchmarking Residential Energy Efficiency Program Progress. Your

  4. 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.

  5. Benchmarking of Competitive Technologies | Department of Energy

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

    1 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation ape006_burress_2011_o.pdf (733.68 KB) More Documents & Publications Benchmarking of Competitive Technologies Benchmarking of Competitive Technologies Vehicle Technologies Office Merit Review 2016: Benchmarking EV and HEV Technologies

  6. Energy Performance Benchmarking and Disclosure Policies for Public and

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

    Commercial Buildings | Department of Energy Performance Benchmarking and Disclosure Policies for Public and Commercial Buildings Energy Performance Benchmarking and Disclosure Policies for Public and Commercial Buildings This presentation is part of the SEE Action Series and provides information on Energy Performance Benchmarking and Disclosure Policies for Public and Commercial Buildings Presentation (6.87 MB) Transcript (126.5 KB) More Documents & Publications

  7. ENERGY STAR® Portfolio Manager and Utility Benchmarking Programs...

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

    Manager and Utility Benchmarking Programs: Effectiveness as a Conduit to Utility Energy Efficiency Programs Rohit Vaidya, Nexus Market Research Arlis Reynolds, National Grid...

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

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

    ... the concept of benchmarking, new requirements, technical tools, and processes. It is especially helpful if government agencies can facilitate enhanced access to energy data by ...

  9. Vehicle Technologies Office: Benchmarking | Department of Energy

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

    Modeling, Testing, Data & Results Ā» Vehicle Technologies Office: Benchmarking Vehicle Technologies Office: Benchmarking Research funded by the Vehicle Technologies Office produces a great deal of valuable data, but it is important to compare those research results with both baseline data and similar work done elsewhere in the world. Through laboratory testing to develop points of reference (known as benchmarking), researchers can compare vehicles and components to validate models, support

  10. DOE Resources Help Measure Building Energy Benchmarking Policy & Program Effectiveness

    Broader source: Energy.gov [DOE]

    The DOE Benchmarking & Transparency Policy and Program Impact Evaluation Handbook provides cost-effective, standardized analytic methods for determining gross and net energy reduction, greenhouse gas (GHG) emissions mitigation, job creation and economic growth impacts.

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

    Broader source: Energy.gov [DOE]

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

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

    Energy Savers [EERE]

    Department's Hospital Energy Alliance Helps Partner Save Energy and Money Energy Department's Hospital Energy Alliance Helps Partner Save Energy and Money September 4, 2012 - ...

  13. 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

  14. 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.

  15. 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.

  16. 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...

  17. 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.

  18. A Utility Regulatorā€™s Guide to Data Access for Commercial Building Energy Performance Benchmarking

    Office of Energy Efficiency and Renewable Energy (EERE)

    A Utility Regulatorā€™s Guide to Data Access for Commercial Building Energy Performance Benchmarking 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.

  19. 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.

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

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

    5 Benchmark the Fuel Cost of Steam Generation Benchmarking the fuel cost of steam generation, in dollars per 1,000 pounds (1,000 lb) of steam, is an effective way to assess the ...

  1. 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 todayā€™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 DOEā€™s Weatherization and Intergovernmental Program - Office of Energy Efficiency and Renewable Energy.

  2. Healthcare Energy: Massachusetts General Hospital Gray Building

    Broader source: Energy.gov [DOE]

    The Building Technologies Office conducted a healthcare energy end-use monitoring project in partnership with two hospitals. This page contains highlights from monitoring at the Gray Building at Massachusetts General Hospital.

  3. 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).

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

    Office of Environmental Management (EM)

    leaders to promote the integration of advanced energy ... consumption and greenhouse gas emissions. "Hospitals are ... (CBI) aims to achieve market-ready, zero-energy ...

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

    Buildings Energy Data Book [EERE]

    4 Energy Benchmarks for Newly Constructed Hospitals, by Selected City and End-Use (thousand Btu per square foot) Miami 1A Houston 2A Phoenix 2B Atlanta 3A Los Angeles 3B Las Vegas 3B San Francisco 3C Baltimore 4A Albuquerque 4B Seattle 4C Chicago 5A Boulder 5B Minneapolis 6A Helena 6B Duluth 7 Fairbanks 8 Note(s): Source(s): 89.1 25.2 3.9 13.5 Commercial building energy benchmarks are based off of the current stock of commercial buildings and reflect 2004 ASHRAE 90.1 Climate Zones. They are

  6. STEP Program Benchmark Report

    Broader source: Energy.gov [DOE]

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

  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. 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.

  9. Thermal Performance Benchmarking; NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Moreno, Gilbert

    2015-06-09

    This project proposes to seek out the SOA power electronics and motor technologies to thermally benchmark their performance. The benchmarking will focus on the thermal aspects of the system. System metrics including the junction-to-coolant thermal resistance and the parasitic power consumption (i.e., coolant flow rates and pressure drop performance) of the heat exchanger will be measured. The type of heat exchanger (i.e., channel flow, brazed, folded-fin) and any enhancement features (i.e., enhanced surfaces) will be identified and evaluated to understand their effect on performance. Additionally, the thermal resistance/conductivity of the power moduleā€™s passive stack and motorā€™s laminations and copper winding bundles will also be measured. The research conducted will allow insight into the various cooling strategies to understand which heat exchangers are most effective in terms of thermal performance and efficiency. Modeling analysis and fluid-flow visualization may also be carried out to better understand the heat transfer and fluid dynamics of the systems.

  10. Energy Efficient Cities: Assessment Tool and Benchmarking Practices...

    Open Energy Info (EERE)

    Practices AgencyCompany Organization: World Bank Sector: Energy Focus Area: Energy Efficiency, Buildings, Industry Topics: Resource assessment, Technology...

  11. Analytic Methods for Benchmarking Hydrogen and Fuel Cell Technologies (Presentation), NREL (National Renewable Energy Laboratory)

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

    NREL/PR-5400-64420 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Analytic Methods for Benchmarking Hydrogen and Fuel Cell Technologies 227 th ECS Meeting, Chicago, Illinois Marc Melaina, Genevieve Saur, Todd Ramsden, Joshua Eichman May 28, 2015 2 Presentation Overview: Four Metrics Analysis projects focus on low-carbon and economic transportation and stationary fuel cell

  12. CBERD: Monitoring and Benchmarking for Energy Information Systems...

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

    tiers of CBERD data center energy information system package. Figure 2: Illustrative metering hardware schemas for entry and advanced tiers of CBERD data center energy ...

  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. 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.

  15. 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...

  16. 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

  17. Testing USABC Deliverables/Benchmarking | Department of Energy

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

    Watch Secretary Ernest Moniz take a spin in the Toyota Mirai, the first fuel cell electric vehicle available for sale. Energy

    This final rule amends the U.S. Department of Energy's (DOE) test procedures for medium base compact fluorescent lamps (MBCFLs) and adopts test procedures for new metrics for all CFLs including hybrid CFLs and CFLs with bases other than medium screw base. In this final rule, DOE replaces references to ENERGY STARĀ® testing requirements with references to the latest

  18. 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; Flapper, Joris; Ke, Jing; Kramer, Klaas; Sathaye, Jayant

    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 ā€“ including four dairy processes ā€“ cheese, fluid milk, butter, and milk powder.

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

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

    Healthcare | Department of Energy EnergySmart Hospitals to Promote Improved Energy Efficiency in Healthcare DOE Launches EnergySmart Hospitals to Promote Improved Energy Efficiency in Healthcare July 23, 2008 - 2:14pm Addthis Initiative Targets Energy and Cost Savings in Hospitals Across the United States WASHINGTON - U.S. Department of Energy (DOE) Associate Under Secretary for Energy Richard F. Moorer today announced the launch of the EnergySmart Hospitals initiative to increase the use of

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

    SciTech Connect (OSTI)

    Xu, Tengfang; Flapper, Joris; Ke, Jing; Kramer, Klaas; Sathaye, Jayant

    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

  1. Benchmarks used

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

    Benchmarks used Benchmarks used Using 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. NERSC6 Benchmarks We used these benchmarks from the NERSC6 procurement: Nersc 6 procurement mpi benchmarks Benchmark Science Area Algorithms Concurrency Languages GTC Fusion PIC, finite difference 2048 (weak scaling) f90 IMPACT-T Accelerator Physics PIC, FFT 1024 (strong scaling) f90

  2. NERSC-5 Benchmarks

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

    5 Benchmarks NERSC-5 Benchmarks The NERSC-5 application benchmarks were used in the acquisition process that resulted in the NERSC Cray XT4 system ("Franklin"). CAM: CCSM Community Climate Model GAMESS: Computational Chemistry GTC: 3D Gyrokinetic Toroidal Code MADBench: Microwave Anisotropy Dataset Computational Analysis Benchmark MILC: MIMD Lattice Computation PARATEC: Parallel Total Energy Code PMEMD: Particle Mesh Ewald Molecular Dynamics Last edited: 2016-04-29 11:34:58

  3. MPI Benchmarks

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

    MPI Benchmarks MPI Benchmarks The APEX RFP calls out several MPI related requirements that can be categorized as two-sided or one-sided and the respective measures of message rate, bandwidth and latency for each. In addition, collective operations are called out. The general philosophy for MPI benchmarking is to use publicly available micro-benchmarks were appropriate and to develop new micro-benchmarks where there are gaps in the public benchmark suites. Unless a benchmark is explicitly called

  4. Benchmarking the energy efficiency of Dutch industry: An assessment of the expected effect on energy consumption and CO2 emissions

    SciTech Connect (OSTI)

    Phylipsen, Dian; Blok, Kornelis; Worrell, Ernst; De Beer, Jeroen

    2002-06-01

    As part of its energy and climate policy the Dutch government has reached an agreement with the Dutch energy-intensive industry that is explicitly based on industry's relative energy efficiency performance. The energy efficiency of the Dutch industry is benchmarked against that of comparable industries in countries world-wide. In the agreement, industry is required to belong to the top-of-the-world in terms of energy efficiency. In return, the government refrains from implementing additional climate policies.This article assesses the potential effects of this agreement on energy consumption and CO2 emissions by comparing the current level of energy efficiency of the Dutch industry - including electricity production - to that of the most efficient countries and regions. At the current structure achieving the regional best practice level for the selected energy-intensive industries would result in a 5plus or minus 2 percent lower current primary energy consumption than the actual level. Most of the savings are expected in the petrochemical industry and in electricity generation. Avoided CO2 emissions would amount to 4 Mt CO2. A first estimate of the effect of the benchmarking agreement in 2012 suggests primary energy savings of 50-130 PJ or 5-10 Mt CO2 avoided compared to the estimated Business as Usual development (5-15 percent). This saving is smaller than what a continuation of the existing policies of Long Term Agreements would probably deliver.

  5. Benchmarking and Energy Saving Tool for Low Carbon Cities (BEST Cities)

    Energy Science and Technology Software Center (OSTI)

    2014-02-01

    BEST-Cities is designed to provide city authorities with strategies they can follow to reduce city-wide carbon dioxide (CO2) and methane (CH4) emissions. The tool quickly assesses local energy use and energy-related CO2 emissions across nine sectors (i.e., industry, public and commercial buildings, residential buildings, transportation, power and heat, street lighting, water & wastewater, solid waste, and urban green space), giving officials a comprehensive perspective on their local carbon performance. Cities can also use the toolmoreĀ Ā» to benchmark their energy and emissions performance to other cities inside and outside China, and identify those sectors with the greatest energy saving and emissions reduction potential.Ā«Ā less

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

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

    to Increase Energy Efficiency in the Healthcare Sector | Department of Energy the Launch of the Hospital Energy Alliance to Increase Energy Efficiency in the Healthcare Sector Department of Energy Announces the Launch of the Hospital Energy Alliance to Increase Energy Efficiency in the Healthcare Sector April 29, 2009 - 12:00am Addthis WASHINGTON, DC - The U.S. Department of Energy (DOE) announced today the launch of the Hospital Energy Alliance (HEA), an industry-led partnership between the

  7. Benchmarks used

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

    Benchmarks were run, all at a concurrency of 1024 processes. They are all written in Fortran. NAS PARALLEL MPI BENCHMARKS - VERSION 3.3.1 Benchmark Full Name Description Level BT...

  8. 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.

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

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

    867 September 2010 Large Hospital 50% Energy Savings: Technical Support Document Eric Bonnema, Daniel Studer, Andrew Parker, Shanti Pless, and Paul Torcellini National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No. DE-AC36-08-GO28308 Technical Report

  10. Story County Hospital Wind Farm | Open Energy Information

    Open Energy Info (EERE)

    Story County Hospital Energy Purchaser AlliantIES Utilities Location NV - Story County IA Coordinates 42.016808, -93.453238 Show Map Loading map... "minzoom":false,"mappings...

  11. 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.

  12. 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

  13. 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.

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

    Office of Environmental Management (EM)

    Unlike many other commercial buildings, hospitals must remain fully operational 24 hours a day, seven days a week and provide services during power outages, natural disasters, and ...

  15. 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.

  16. Designing a Benchmarking Plan

    Office of Energy Efficiency and Renewable Energy (EERE)

    U.S. Department of Energy Office of Energy Efficiency and Renewable Energy (EERE) Weatherization and Intergovernmental Program (WIP) Solution Center document about how state and local governments, Indian tribes, and overseas U.S. territories can design a plan to benchmark the energy consumption in public buildings.

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

    SciTech Connect (OSTI)

    Christian, J.

    2011-01-01

    This document describes lessons learned from designing, building, and monitoring five affordable, energy-efficient test houses in a single development in the Tennessee Valley Authority (TVA) service area. This work was done through a collaboration of Habitat for Humanity Loudon County, the US Department of Energy (DOE), TVA, and Oak Ridge National Laboratory (ORNL).The houses were designed by a team led by ORNL and were constructed by Habitat's volunteers in Lenoir City, Tennessee. ZEH5, a two-story house and the last of the five test houses to be built, provided an excellent model for conducting research on affordable high-performance houses. The impressively low energy bills for this house have generated considerable interest from builders and homeowners around the country who wanted a similar home design that could be adapted to different climates. Because a design developed without the project constraints of ZEH5 would have more appeal for the mass market, plans for two houses were developed from ZEH5: a one-story design (ZEH6) and a two-story design (ZEH7). This report focuses on ZEH6, identical to ZEH5 except that the geothermal heat pump is replaced with a SEER 16 air source unit (like that used in ZEH4). The report also contains plans for the ZEH6 house. ZEH5 and ZEH6 both use 50% less energy than the DOE Building America protocol for energyefficient buildings. ZEH5 is a 4 bedroom, 2.5 bath, 2632 ft2 house with a home energy rating system (HERS) index of 43, which qualifies it for federal energy-efficiency incentives (a HERS rating of 0 is a zero-energy house, and a conventional new house would have a HERS rating of 100). This report is intended to help builders and homeowners build similar high-performance houses. Detailed specifications for the envelope and the equipment used in ZEH5 are compared with the Building America Benchmark building, and detailed drawings, specifications, and lessons learned in the construction and analysis of data gleaned from 94

  18. 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).

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

    SciTech Connect (OSTI)

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

    2009-07-13

    This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in data centers. This guide is primarily intended for personnel who have responsibility for managing energy use in existing data centers - including facilities managers, energy managers, and their engineering consultants. Additionally, data center designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior data center benchmarking studies supported by the California Energy Commission. Much of the benchmarking data are drawn from the LBNL data center benchmarking database that was developed from these studies. Additional benchmark data were obtained from engineering experts including facility designers and energy managers. This guide also builds on recent research supported by the U.S. Department of Energy's Save Energy Now program.

  20. Measuring Program Outcomes and Using Benchmarks Webinar

    Broader source: Energy.gov [DOE]

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

  1. Guide for Benchmarking Residential Program Progress with Examples |

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

    Department of Energy Program Progress with Examples Guide for Benchmarking Residential Program Progress with Examples Better Buildings Residential Network: Guide for Benchmarking Residential Program Progress with Examples. Guide for Benchmarking Residential Program Progress with Examples (544.53 KB) More Documents & Publications Guide for Benchmarking Residential Energy Efficiency Program Progress Guide to Benchmarking Residential Program Progress Webcast Slides Optional Residential

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

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petprod - U.S. Energy Information Administration (EIA) U.S. Energy Information Administration - EIA - Independent Statistics and Analysis Sources & Uses Petroleum & Other Liquids Crude oil, gasoline, heating oil, diesel, propane, and other liquids including biofuels and natural gas liquids. Natural Gas Exploration and reserves, storage, imports and exports, production, prices, sales. Electricity Sales, revenue and prices, power plants, fuel use, stocks,

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

    SciTech Connect (OSTI)

    Mathew, Paul; Sartor, Dale; Tschudi, William

    2009-07-13

    This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in laboratory buildings. This guide is primarily intended for personnel who have responsibility for managing energy use in existing laboratory facilities - including facilities managers, energy managers, and their engineering consultants. Additionally, laboratory planners and designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior research supported by the national Laboratories for the 21st Century (Labs21) program, supported by the U.S. Department of Energy and the U.S. Environmental Protection Agency. Much of the benchmarking data are drawn from the Labs21 benchmarking database and technical guides. Additional benchmark data were obtained from engineering experts including laboratory designers and energy managers.

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

    SciTech Connect (OSTI)

    Mathew, Paul; Greenberg, Steve; Sartor, Dale

    2009-07-13

    This guide describes energy efficiency metrics and benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in laboratory buildings. This guide is primarily intended for personnel who have responsibility for managing energy use in existing laboratory facilities - including facilities managers, energy managers, and their engineering consultants. Additionally, laboratory planners and designers may also use the metrics and benchmarks described in this guide for goal-setting in new construction or major renovation. This guide provides the following information: (1) A step-by-step outline of the benchmarking process. (2) A set of performance metrics for the whole building as well as individual systems. For each metric, the guide provides a definition, performance benchmarks, and potential actions that can be inferred from evaluating this metric. (3) A list and descriptions of the data required for computing the metrics. This guide is complemented by spreadsheet templates for data collection and for computing the benchmarking metrics. This guide builds on prior research supported by the national Laboratories for the 21st Century (Labs21) program, supported by the U.S. Department of Energy and the U.S. Environmental Protection Agency. Much of the benchmarking data are drawn from the Labs21 benchmarking database and technical guides. Additional benchmark data were obtained from engineering experts including laboratory designers and energy managers.

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

    Buildings Energy Data Book [EERE]

    3 Energy Benchmarks for Existing Hospitals, by Selected City and End-Use (thousand Btu per square foot) IECC Post Pre Post Pre Post Pre Post Pre Miami 1A 34.6 40.7 88.9 85.4 1.8 1.8 20.0 21.0 Houston 2A 42.1 48.0 89.5 86.9 2.2 2.1 19.6 20.8 Phoenix 2B 42.2 48.6 82.1 80.2 2.0 1.9 20.7 21.9 Atlanta 3A 45.8 53.9 83.7 82.1 2.5 2.5 19.0 20.6 Los Angeles 3B 45.4 46.9 75.4 71.0 2.5 2.4 18.5 18.8 Las Vegas 3B 40.9 48.0 69.5 69.0 2.2 2.2 18.5 21.2 San Francisco 3C 49.2 52.8 66.5 64.1 2.8 2.7 17.1 18.0

  6. Guide for Benchmarking Residential Program Progress with Examples...

    Office of Environmental Management (EM)

    Guide for Benchmarking Residential Program Progress with Examples (544.53 KB) More Documents & Publications Guide for Benchmarking Residential Energy Efficiency Program Progress ...

  7. Public Housing Project Performance Benchmarks

    Broader source: Energy.gov [DOE]

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

  8. Federal Government Project Performance Benchmarks

    Broader source: Energy.gov [DOE]

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

  9. Post Secondary Project Performance Benchmarks

    Broader source: Energy.gov [DOE]

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

  10. 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

  11. 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.

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

    Buildings Energy Data Book [EERE]

    6 Energy Benchmarks for Newly Constructed Outpatient Buildings, by Selected City and End-Use (thousand Btu per square foot) Miami 1A Houston 2A Phoenix 2B Atlanta 3A Los Angeles 3B Las Vegas 3B San Francisco 3C Baltimore 4A Albuquerque 4B Seattle 4C Chicago 5A Boulder 5B Minneapolis 6A Helena 6B Duluth 7 Fairbanks 8 Note(s): Source(s): 99.7 8.8 1.4 17.7 Commercial building energy benchmarks are based off of the current stock of commercial buildings and are designed to provide a consistent

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

    Broader source: Energy.gov [DOE]

    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 measure and track energy use and carbon dioxide emission reductions in water and wastewater treatment plants to establish baseline energy use, prioritize investments, set goals, and track improvements over time.

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

    Broader source: Energy.gov [DOE]

    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...

  15. Hilton Worldwide is First Hospitality Company Certified under Superior Energy PerformanceĀ® Designation

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy (DOE) congratulates Hilton Worldwide for being an energy management pioneer for the hospitality industryā€”and the commercial sector. In December 2015, three of Hilton...

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

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

    Hospital Heats Up with a Biomass Boiler Oregon Hospital Heats Up with a Biomass Boiler December 27, 2012 - 4:30pm Addthis Using money from the Recovery Act, Blue Mountain Hospital replaced one of its 1950s crude oil boilers with a wood-pellet boiler -- saving the hospital about $100,000 a year in heating costs. | Photo courtesy of the Oregon Department of Energy. Using money from the Recovery Act, Blue Mountain Hospital replaced one of its 1950s crude oil boilers with a wood-pellet boiler --

  17. 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-Ā­carbon 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.

  18. Advanced Vehicle Benchmarking of HEVĀs and PHEVĀs | Department of Energy

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

    Department of Energy Presents recent advances in thermoelectric device fabrication and the design of novel cooling/heating engines exploiting thermal storage for efficient air-conditioners in automobiles ghoshal.pdf (2.34 MB) More Documents & Publications Sheetak will work on developing a full scale prototype of its low cost heat pump water heater. These solid state heat pumping elements can be implemented in low cost manner which have the potential to dramatically change the way in

  19. Benchmark Theoretical Study of the Ļ€ā€“Ļ€ 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 MĆøller - 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 Dunningā€™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-Ī¶ quality, observing that both its intra- and inter-molecular parts have practically converged with the triple-Ī¶ 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

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

    Office of Science (SC) Website

    Comparing Apples to Apples: Benchmarking Electrocatalysts for Solar Water-Splitting Devices Basic Energy Sciences (BES) BES Home About Research Facilities Science Highlights ...

  1. 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

  2. Transmittal Letter for the Statewide Benchmarking Process Evaluation |

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

    Department of Energy Transmittal Letter for the Statewide Benchmarking Process Evaluation Transmittal Letter for the Statewide Benchmarking Process Evaluation This report by the California Public Utilities Commission examines the value of benchmarking as a tool to encourage energy efficiency, including a discussion of analysis tools. Transmittal Letter for the Statewide Benchmarking Process Evaluation (1.58 MB) More Documents & Publications Designing a Benchmarking Plan Efficiency Data

  3. CBEI: Improving Benchmarking Data Quality - 2015 Peer Review | Department

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

    of Energy Benchmarking Data Quality - 2015 Peer Review CBEI: Improving Benchmarking Data Quality - 2015 Peer Review Presenter: Scott Wagner, PSU View the Presentation CBEI: Improving Benchmarking Data Quality - 2015 Peer Review (1.49 MB) More Documents & Publications CBEI: Aligning Owners and Service Providers - 2015 Peer Review CBEI: Using DOE Tools - 2015 Peer Review CBEI: Benchmarking Analytics Tools - 2015

  4. 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...

  5. The NERSC MADBench Benchmark

    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...

  6. 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...

  7. 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...

  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 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...

  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 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

  12. 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: 2016-04-29 11:35:09

  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: 2016-04-29 11:34:23

  14. The NERSC MADBench Benchmark

    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: 2016-04-29 11:35:18

  15. 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

  16. 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: 2016-04-29 11:35:25

  17. 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: 2016-04-29 11:35:01

  18. 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.

  19. 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.

  20. NERSC-8 Benchmarks

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

    8 Benchmarks NERSC-8 Benchmarks The NERSC-8 micro- and application benchmarks that were used in the acquisition process that will be the NERSC Cray XC40 ("Cori") system. All of the benchmarks used for this procurement may be found here Last edited: 2016-04-29 11:34:31

  1. Energy Department Announces $9 Million to Improve Energy Efficiency of Hotels, Hospitals, Offices and other Commercial Buildings

    Broader source: Energy.gov [DOE]

    As part of the Obama Administrationā€™s effort to double energy productivity by 2030 and reduce carbon emissions in commercial buildings, the Energy Department today announced $9 million to encourage investments in energy-saving technologies that can be tested and deployed in offices, shops, restaurants, hospitals, hotels and other types of commercial buildings.

  2. State/Local Government Project Performance Benchmarks | Department of

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

    Energy State/Local Government Project Performance Benchmarks State/Local Government Project Performance Benchmarks Reports five major performance metrics that can be used to benchmark proposed energy service company projects within state and local government facilities, disaggregated and reported by major retrofit strategy. Author: U.S. Department of Energy State/Local Government Project Performance Benchmarks (1.96 MB) More Documents & Publications Federal Government Project Performance

  3. Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking...

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

    Data Cleansing: A Rite of Passage Along the Benchmarking Journey Benchmarking Data Cleansing: A Rite of Passage Along the Benchmarking Journey Hosted by the Technical Assistance ...

  4. Targeting 100! Advanced Energy Efficient Building Technologies for High Performance Hospitals: Executive Summary.

    SciTech Connect (OSTI)

    Burpee, Heather; Loveland, Joel; Helmers, Aaron

    2015-09-02

    This research, Targeting 100!, provides a conceptual framework and decision-making structure at a schematic design level of precision for hospital owners, architects and engineers to radically reduce energy use in hospitals. Following the goals of Architecture 2030 and The 2030 Challenge, it offers access to design strategies and the cost implications of those strategies for new hospitals to utilize 60% less energy. The name, Targeting 100!, comes from the 2030 Challenge energy reduction goal for hospitals; a 60% energy use reduction from typical acute care hospital targets approximately 100 KBtu/SF Year, thus the name ā€œTargeting 100!ā€. Targeting 100! was developed through funding partnerships with the US Department of Energy and the Northwest Energy Efficiencyā€™s BetterBricks Initiative. The technical team was led by the University of Washington Integrated Design Lab supported by deep collaboration with Solarc Architecture and Engineering, TBD Cost Consultants, and NBBJ Architecture. Through extensive research and design development, Targeting 100! provides a framework for developing high performance healthcare projects today and into the future. An online tool houses a Targeting 100! knowlegebase and roadmap. It can be accessed at: www.idlseattle.com/t100. The webtool is structured from high-level overview materials to detailed library with modeling inputs and outputs, providing a comprehensive report of the background, data, and outcomes from the project.

  5. NERSC-8 / Trinity Benchmarks

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

    Benchmarks NERSC-8 / Trinity Benchmarks These benchmark programs are for use as part of the joint NERSC / ACES NERSC-8/Trinity system procurement. There are two basic kinds of benchmarks: MiniApplications: miniFE, miniGhost, AMG, UMT, GTC, MILC, SNAP, and miniDFT MicroBenchmarks: Pynamic, STREAM, OMB, SMB, ZiaTest, IOR, Metabench, PSNAP, FSTest, mpimemu, and UPC_FT The SSP is an aggregate measure based on selected runs of the MiniApplications. The benchmark run rules are available here (PDF,

  6. Energy Departmentā€™s Hospital Energy Alliance Helps Partner Save Energy and Money

    Office of Energy Efficiency and Renewable Energy (EERE)

    How energy efficiency is helping one healthcare organization improve facilities and reduce environmental impacts.

  7. CBEI - Improving Benchmarking Data Quality

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

    Improving Benchmarking Data Quality 2015 Building Technologies Office Peer Review Scott ... Analysis of 2013 Philadelphia benchmarking data; Evaluation of Proficiency in Benchmarking ...

  8. Guide to Benchmarking Residential Program Progress Webcast Slides |

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

    Department of Energy Guide to Benchmarking Residential Program Progress Webcast Slides Guide to Benchmarking Residential Program Progress Webcast Slides Slides from "Guide to Benchmarking Residential Program Progress - Call for Public Review", a webcast from the U.S. Department of Energy's (DOE's) Better Buildings Neighborhood Program, presented by Dale Hoffmeyer and Cheryl Jenkins. Guide to Benchmarking Residential Program Progress Webcast Slides (1.15 MB) More Documents &

  9. Post Secondary Project Performance Benchmarks

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

    Post Secondary Project Performance Benchmarks (All ASHRAE Zones) continued > We define an ESCO as a company that provides energy efficiency-related and other value-added services and that employs performance contracting as a core part of its energy efficiency services business. 1 For projects with electricity savings, we assume site energy conversion (1 kWh = 3,412 Btu). We did not estimate avoided Btus from gallons of water conserved. In general, we followed the analytical approach

  10. Public Housing Project Performance Benchmarks

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

    Public Housing Project Performance Benchmarks (All ASHRAE Zones) We define an ESCO as a company that provides energy efficiency-related and other value-added services and that employs performance contracting as a core part of its energy efficiency services business. 1 For projects with electricity savings, we assume site energy conversion (1 kWh = 3,412 Btu). We did not estimate avoided Btus from gallons of water conserved. In general, we followed the analytical approach documented in Hopper et

  11. 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.

  12. 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.

  13. 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.

  14. Basewide energy systems plan for Fort Bragg. Womack Army Community Hospital. Energy audit: Executive summary. Final report

    SciTech Connect (OSTI)

    1984-04-01

    The results of the energy engineering analysis performed at Womack Army Community Hospital, located in Fort Bragg, North Carolina, are summarized herein. That work was performed by JRB Associates (JRB) for the Army Corps of Engineers, Savannah District, under a modification to contract No. DACA21-80-C-0014. The project included a detailed audit of the hospital and energy support facilities, utility meter plan development, and investigation of many energy conservation measures. Emphasis was put on Energy Management and Control Systems (EMCS). Analysis was performed with the assistance of the Building Loads and System Thermodynamics (BLAST) computer program developed by the Army Construction Engineering Research Lab (CERL). Energy Conservation Investment Program (ECIP) documents were developed for recommended measures.

  15. 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 ORNLā€™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

  16. Vehicle Technologies Office Merit Review 2015: Benchmarking EV and HEV

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

    Technologies | Department of Energy Benchmarking EV and HEV Technologies Vehicle Technologies Office Merit Review 2015: Benchmarking EV and HEV Technologies Presentation given by Oak Ridge National Laboratory at 2015 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about benchmarking EV and HEV technologies. edt006_burress_2015_o.pdf (3.81 MB) More Documents & Publications Benchmarking State-of-the-Art Technologies

  17. Vehicle Technologies Office Merit Review 2014: Benchmarking EV and HEV

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

    Technologies | Department of Energy Benchmarking EV and HEV Technologies Vehicle Technologies Office Merit Review 2014: Benchmarking EV and HEV Technologies Presentation given by Oak Ridge National Laboratory at 2014 DOE Hydrogen and Fuel Cells Program and Vehicle Technologies Office Annual Merit Review and Peer Evaluation Meeting about benchmarking EV and HEV technologies. ape006_burress_2014_p.pdf (3.6 MB) More Documents & Publications Benchmarking State-of-the-Art Technologies Vehicle

  18. 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.

  19. Benchmarking Database - JCAP

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

    Ā©bobpaz.com0121.JPG Benchmarking Database Research Why Solar Fuels Goals & Objectives Thrust 1 Thrust 2 Thrust 3 Thrust 4 Publications Research Highlights Videos Innovations User Facilities Expert Team Benchmarking Database Device Simulation Tool XPS Spectral Database Research Introduction Why Solar Fuels? Goals & Objectives Thrusts Thrust 1 Thrust 2 Thrust 3 Thrust 4 Library Publications Research Highlights Videos Resources User Facilities Expert Team Benchmarking Database Device

  20. Benchmarks & Workflows

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

    Home Ā» R & D Ā» APEX Ā» Benchmarks & Workflows Benchmarks & Workflows For the Crossroads/NERSC-9 procurement: NERSC conducted a workload analysis on the Hopper and Edison systems analyzing algorithmic diversity, MPI and OpenMP concurrency, memory utilization, and I/O and storage needs. Benchmarks will be used to measure the sustained performance of proposed systems. Example workflows are being provided to give prospective offerors a better understanding of the current I/O usage

  1. Benchmarking & Workload Characterization

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

    CAM: CCSM Community Climate Model GAMESS: Computational Chemistry GTC: 3D Gyrokinetic Toroidal Code MADBench: Microwave Anisotropy Dataset Computational Analysis Benchmark MILC: ...

  2. NERSC-5 Benchmarks

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

    CAM: CCSM Community Climate Model GAMESS: Computational Chemistry GTC: 3D Gyrokinetic Toroidal Code MADBench: Microwave Anisotropy Dataset Computational Analysis Benchmark MILC: ...

  3. Optional Residential Program Benchmarking

    Broader source: Energy.gov [DOE]

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

  4. Benchmarking foreign electronics technologies

    SciTech Connect (OSTI)

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

    1994-12-01

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

  5. 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.

  6. 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.

  7. 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.

  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

  9. Preliminary Benchmarking and MCNP Simulation Results for Homeland...

    Office of Scientific and Technical Information (OSTI)

    Preliminary Benchmarking and MCNP Simulation Results for Homeland Security Citation ... Visit OSTI to utilize additional information resources in energy science and technology. A ...

  10. 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.

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

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

    Benchmarking and Transparency Policy and Program Impact Evaluation Handbook Prepared for by the U.S. Department of Energy, this Handbook provides both a strategic planning ...

  12. Geothermal Heat Pump Benchmarking Report

    SciTech Connect (OSTI)

    1997-01-17

    A benchmarking study was conducted on behalf of the Department of Energy to determine the critical factors in successful utility geothermal heat pump programs. A Successful program is one that has achieved significant market penetration. Successfully marketing geothermal heat pumps has presented some major challenges to the utility industry. However, select utilities have developed programs that generate significant GHP sales. This benchmarking study concludes that there are three factors critical to the success of utility GHP marking programs: (1) Top management marketing commitment; (2) An understanding of the fundamentals of marketing and business development; and (3) An aggressive competitive posture. To generate significant GHP sales, competitive market forces must by used. However, because utilities have functioned only in a regulated arena, these companies and their leaders are unschooled in competitive business practices. Therefore, a lack of experience coupled with an intrinsically non-competitive culture yields an industry environment that impedes the generation of significant GHP sales in many, but not all, utilities.

  13. 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.

  14. CBEI: Benchmarking Analytics Tools - 2015 Peer Review | Department of

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

    Energy Benchmarking Analytics Tools - 2015 Peer Review CBEI: Benchmarking Analytics Tools - 2015 Peer Review Presenter: Clinton Andrews, Rutgers University View the Presentation CBEI: Benchmarking Analytics Tools - 2015 Peer Review (1.44 MB) More Documents & Publications CBEI: Broker Training - Placing Value on Energy Retrofits - 2015 Peer Review Market Engagement Overview - 2015 BTO Peer Review CBEI: Lessons Learned from Integrated Retrofits in Small and Medium Sized Commercial

  15. DOE Lab Releases Wind Turbine Reliability Benchmark Report | Department of

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

    Energy Lab Releases Wind Turbine Reliability Benchmark Report DOE Lab Releases Wind Turbine Reliability Benchmark Report October 1, 2012 - 1:17pm Addthis This is an excerpt from the Third Quarter 2012 edition of the Wind Program R&D Newsletter. The U.S. Department of Energy's Sandia National Laboratories (SNL) recently released its second annual public benchmark report for the Continuous Reliability Enhancement for Wind (CREW) database. CREW is a national reliability database that

  16. NERSC-8 / Trinity Benchmarks

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

    computation. NPB UPC-FT This is the NAS Parallel Benchmark FFT program written in the UPC language. Pynamic Pynamic tests dynamic loading subsystem design and the ability to handle...

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

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

    6314 March 2010 Technical Support Document: Development of the Advanced Energy Design Guide for Small Hospitals and Healthcare Facilities-30% Guide Eric Bonnema, Ian Doebber, Shanti Pless, and Paul Torcellini National Renewable Energy Laboratory 1617 Cole Boulevard, Golden, Colorado 80401-3393 303-275-3000 * www.nrel.gov NREL is a national laboratory of the U.S. Department of Energy Office of Energy Efficiency and Renewable Energy Operated by the Alliance for Sustainable Energy, LLC Contract No.

  18. Benchmarking for Cost Improvement. Final report

    SciTech Connect (OSTI)

    Not Available

    1993-09-01

    The US Department of Energy`s (DOE) Office of Environmental Restoration and Waste Management (EM) conducted the Benchmarking for Cost Improvement initiative with three objectives: Pilot test benchmarking as an EM cost improvement tool; identify areas for cost improvement and recommend actions to address these areas; provide a framework for future cost improvement. The benchmarking initiative featured the use of four principal methods (program classification, nationwide cost improvement survey, paired cost comparison and component benchmarking). Interested parties contributed during both the design and execution phases. The benchmarking initiative was conducted on an accelerated basis. Of necessity, it considered only a limited set of data that may not be fully representative of the diverse and complex conditions found at the many DOE installations. The initiative generated preliminary data about cost differences and it found a high degree of convergence on several issues. Based on this convergence, the report recommends cost improvement strategies and actions. This report describes the steps taken as part of the benchmarking initiative and discusses the findings and recommended actions for achieving cost improvement. The results and summary recommendations, reported below, are organized by the study objectives.

  19. Spent Fuel Criticality Benchmark Experiments

    SciTech Connect (OSTI)

    J.M. Scaglione

    2001-07-23

    Characteristics between commercial spent fuel waste packages (WP), Laboratory Critical Experiments (LCEs), and commercial reactor critical (CRC) evaluations are compared in this work. Emphasis is placed upon comparisons of CRC benchmark results and the relative neutron flux spectra in each system. Benchmark evaluations were performed for four different pressurized water reactors using four different sets of isotopes. As expected, as the number of fission products used to represent the burned fuel inventory approached reality, the closer to unity k{sub eff} became. Examination of material and geometry characteristics indicate several fundamental similarities between the WP and CRC systems. In addition, spectral evaluations were performed on a representative pressurized water reactor CRC, a 21-assembly area of the core modeled in a potential WP configuration, and three LCEs considered applicable benchmarks for storage packages. Fission and absorption reaction spectra as well as relative neutron flux spectra are generated and compared for each system. The energy dependent reaction rates are the product of the neutron flux spectrum and the energy dependent total macroscopic cross section. With constant source distribution functions, and the total macroscopic cross sections for the fuel region in the CRCs and WP being composed of nearly the same isotopics, the resulting relative flux spectra in the CRCs and WP are very nearly the same. Differences in the relative neutron flux spectra between WPs and CRCs are evident in the thermal energy range as expected. However, the relative energy distribution of the absorption, fission, and scattering reaction rates in both the CRCs and the WP are essentially the same.

  20. 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

  1. A framework for benchmarking land models

    SciTech Connect (OSTI)

    Luo, Yiqi; Randerson, James T.; Hoffman, Forrest; Norby, Richard J

    2012-01-01

    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

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

    Buildings Energy Data Book [EERE]

    5 Energy Benchmarks for Existing Outpatient Buildings, by Selected City and End-Use (thousand Btu per square foot) IECC Post Pre Post Pre Post Pre Post Pre Miami 1A 65.4 60.3 69.6 61.9 0.7 0.7 24.6 23.9 Houston 2A 73.2 76.2 54.0 52.9 0.8 0.8 22.1 24.0 Phoenix 2B 79.1 79.8 54.7 52.9 0.7 0.7 23.8 25.3 Atlanta 3A 83.1 91.1 41.8 42.1 0.9 0.9 22.1 24.6 Los Angeles 3B 87.8 86.3 37.4 35.6 0.9 0.9 22.5 23.1 Las Vegas 3B 76.6 80.5 44.1 44.0 0.8 0.8 23.2 25.5 San Francisco 3C 85.0 93.4 25.0 24.7 1.0 1.0

  3. Monte Carlo Benchmark

    Energy Science and Technology Software Center (OSTI)

    2010-10-20

    The "Monte Carlo Benchmark" (MCB) is intended to model the computatiional performance of Monte Carlo algorithms on parallel architectures. It models the solution of a simple heuristic transport equation using a Monte Carlo technique. The MCB employs typical features of Monte Carlo algorithms such as particle creation, particle tracking, tallying particle information, and particle destruction. Particles are also traded among processors using MPI calls.

  4. EISA Federal Facility Management and Benchmarking Reporting Requirements |

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

    Department of Energy EISA Federal Facility Management and Benchmarking Reporting Requirements EISA Federal Facility Management and Benchmarking Reporting Requirements Section 432 of the Energy Independence and Security Act of 2007 (EISA 432) requires federal agencies to identify "covered facilities" that constitute at least 75% of their total facility energy use as subject to the requirements of the statute. Each federal agency must designate an energy manager to be responsible for

  5. Updated Miscellaneous Electricity Loads and Appliance Energy Usage Profiles for Use in Home Energy Ratings, the Building America Benchmark Procedures and Related Calculations. Revised

    SciTech Connect (OSTI)

    Parker, Danny; Fairey, Philip; Hendron, Robert

    2011-06-10

    This report discusses how TIAX data, supplemented by the 2005 Residential Energy Consumption Survey (RECS)public use data set was used to make significant improvements in the prediction metods for estimating energy use of miscellaneous electric loads.

  6. NERSC-6/7 Benchmarks

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

    6/7 Benchmarks NERSC-6/7 Benchmarks The NERSC-6/7 application benchmarks were used in the acquisition process that resulted in the NERSC Cray XE6 ("Hopper") system and the follow on Cray XC30 system ("Edison") . A technical report describing the benchmark programs used in the NERSC-6 acquisition and the science drivers behind them is available here. Last edited: 2016-04-29 11:34:40

  7. Benchmark Distribution & Run Rules

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

    Rules Benchmark Distribution & Run Rules Applications and micro-benchmarks for the Crossroads/NERSC-9 procurement. You can find more information by clicking on the header for each of the topics listed below. Change Log Change and update notes for the benchmark suite. Application Benchmarks The following applications will be used by the Sustained System Improvement metric in measuring the performance improvement of proposed systems relative to NERSC's Edison platform. General Run Rules

  8. 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.

  9. State/Local Government Project Performance Benchmarks

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

    State/Local Government Project Performance Benchmarks (All ASHRAE Zones) We define an ESCO as a company that provides energy efficiency-related and other value-added services and that employs performance contracting as a core part of its energy efficiency services business. 1 For projects with electricity savings, we assume site energy conversion (1 kWh = 3,412 Btu). We did not estimate avoided Btus from gallons of water conserved. In general, we followed the analytical approach documented in

  10. US-India Center for Building Energy R&D (CBERD)

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

    Mathew, pamathew@lbl.gov Lawrence Berkeley National Laboratory US-India Center for Building Energy R&D (CBERD) Monitoring and Benchmarking 2015 Building Technologies Office Peer Review 2 Project Summary Timeline: Start date: Oct 2012; Planned end date: Sep 2017 Key Milestones 1. Technical specifications for cost-effective Energy Information Systems packages for hotels and hospitals. (Sep 2015) 2. New techniques to increase flexibility and applicability of whole-building benchmarking needs.

  11. Sequoia Messaging Rate Benchmark

    Energy Science and Technology Software Center (OSTI)

    2008-01-22

    The purpose of this benchmark is to measure the maximal message rate of a single compute node. The first num_cores ranks are expected to reside on the 'core' compute node for which message rate is being tested. After that, the next num_nbors ranks are neighbors for the first core rank, the next set of num_nbors ranks are neighbors for the second core rank, and so on. For example, testing an 8-core node (num_cores = 8)moreĀ Ā» with 4 neighbors (num_nbors = 4) requires 8 + 8 * 4 - 40 ranks. The first 8 of those 40 ranks are expected to be on the 'core' node being benchmarked, while the rest of the ranks are on separate nodes.Ā«Ā less

  12. MPI Multicore Linktest Benchmark

    Energy Science and Technology Software Center (OSTI)

    2008-01-25

    The MPI Multicore Linktest (LinkTest) measures the aggregate bandwidth from/to a multicore node in a parallel system. It allows the user to specify a variety of different node layout and communication routine variations and reports the maximal observed bandwidth across all specified options. In particular, this benchmark is able to vary the number of tasks on the root node and thereby allows users to study the impact of multicore architectures on MPI communication performance.

  13. Commercial and Multifamily Building Benchmarking and Disclosure...

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

    and Multifamily Building Benchmarking and Disclosure Commercial and Multifamily Building Benchmarking and Disclosure Better Buildings Residential Network Peer Exchange Call: ...

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

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

    House Simulation Protocols (Building America Benchmark) - Building America Top Innovation House Simulation Protocols (Building America Benchmark) - Building America Top Innovation ...

  15. 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.

  16. 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.'

  17. Algebraic Multigrid Benchmark

    Energy Science and Technology Software Center (OSTI)

    2013-05-06

    AMG2013 is a parallel algebraic multigrid solver for linear systems arising from problems on unstructured grids. It has been derived directly from the Boomer AMG solver in the hypre library, a large linear solvers library that is being developed in the Center for Applied Scientific Computing (CASC) at LLNL. The driver provided in the benchmark can build various test problems. The default problem is a Laplace type problem on an unstructured domain with various jumpsmoreĀ Ā» and an anisotropy in one part.Ā«Ā less

  18. 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...

  19. Benchmarking Buildings to Prioritize Sites for Emissions Analysis

    Broader source: Energy.gov [DOE]

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

  20. FireHose Streaming Benchmarks

    Energy Science and Technology Software Center (OSTI)

    2015-01-27

    The FireHose Streaming Benchmarks are a suite of stream-processing benchmarks defined to enable comparison of streaming software and hardware, both quantitatively vis-a-vis the rate at which they can process data, and qualitatively by judging the effort involved to implement and run the benchmarks. Each benchmark has two parts. The first is a generator which produces and outputs datums at a high rate in a specific format. The second is an analytic which reads the streammoreĀ Ā» of datums and is required to perform a well-defined calculation on the collection of datums, typically to find anomalous datums that have been created in the stream by the generator. The FireHose suite provides code for the generators, sample code for the analytics (which users are free to re-implement in their own custom frameworks), and a precise definition of each benchmark calculation.Ā«Ā less

  1. FireHose Streaming Benchmarks

    SciTech Connect (OSTI)

    Karl Anderson, Steve Plimpton

    2015-01-27

    The FireHose Streaming Benchmarks are a suite of stream-processing benchmarks defined to enable comparison of streaming software and hardware, both quantitatively vis-a-vis the rate at which they can process data, and qualitatively by judging the effort involved to implement and run the benchmarks. Each benchmark has two parts. The first is a generator which produces and outputs datums at a high rate in a specific format. The second is an analytic which reads the stream of datums and is required to perform a well-defined calculation on the collection of datums, typically to find anomalous datums that have been created in the stream by the generator. The FireHose suite provides code for the generators, sample code for the analytics (which users are free to re-implement in their own custom frameworks), and a precise definition of each benchmark calculation.

  2. KĀ…12 Schools Project Performance Benchmarks

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

    K-12 Schools Project Performance Benchmarks (All ASHRAE Zones) We define an ESCO as a company that provides energy efficiency-related and other value-added services and that employs performance contracting as a core part of its energy efficiency services business. 1 For projects with electricity savings, we assume site energy conversion (1 kWh = 3,412 Btu). We did not estimate avoided Btus from gallons of water conserved. In general, we followed the analytical approach documented in Hopper et

  3. Designing a Benchmarking Plan

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

    ... legal and other requirements: - Gross Consumption-measuring the total energy use allows ... Intensity (EUI)-a measure of energy consumption per production or footprint (common ...

  4. Vehicle Technologies Office Merit Review 2016: Benchmarking EV and HEV

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

    Technologies | Department of Energy Benchmarking EV and HEV Technologies Vehicle Technologies Office Merit Review 2016: Benchmarking EV and HEV Technologies Presentation given by Oak Ridge National Laboratory (ORNL) at the 2016 DOE Vehicle Technologies Office and Hydrogen and Fuel Cells Program Annual Merit Review and Peer Evaluation Meeting about Electric Drive Systems edt006_burress_2016_o_web.pdf (3.64 MB) More Documents & Publications Vehicle Technologies Office Merit Review 2015:

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

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

    Top Innovation | Department of Energy House Simulation Protocols (Building America Benchmark) - Building America Top Innovation House Simulation Protocols (Building America Benchmark) - Building America Top Innovation Photo of a house prototype. As Building America has grown to include a large and diverse cross-section of the home building and retrofit industries, it has become more important to develop accurate, consistent analysis techniques to measure progress towards the program's goals.

  6. Acquisition Letter 07 - Benchmark Compensation Amount for Individual

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

    Executive Salary Actions | Department of Energy 7 - Benchmark Compensation Amount for Individual Executive Salary Actions Acquisition Letter 07 - Benchmark Compensation Amount for Individual Executive Salary Actions The purpose of Acquisition Letter (AL) 2014-07 is to establish the form, "Compensation Subject to the Executive CAP (OFPP Limitation)" as the minimum required documentation to support DOE/NNSA Contracting Officers (CO) and Contractor Human Resources Specialists'

  7. Measuring the Impact of Benchmarking & Transparency - Methodologies...

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

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

  8. 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%ā€“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.

  9. Benchmarking and Transparency Policy and Program Impact Evaluation Handbook

    Broader source: Energy.gov [DOE]

    Prepared for by the U.S. Department of Energy, this Handbook provides both a strategic planning framework and standard methodologies to determined the energy and non-energy benefits of benchmarking and transparency policies and programs that recently began to proliferate in jurisdiction across the United States.

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

    SciTech Connect (OSTI)

    Hendron, R.

    2007-01-01

    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. The Benchmark is generally consistent with mid-1990s standard practice, as reflected in the Home Energy Rating System (HERS) Technical Guidelines (RESNET 2002), with additional definitions that allow the analyst to evaluate all residential end-uses, an extension of the traditional HERS rating approach that focuses on space conditioning and hot water. Unlike the reference homes used for HERS, EnergyStar, and most energy codes, the Benchmark represents typical construction at a fixed point in time so it can be used as the basis for Building America's multi-year energy savings goals without the complication of chasing a ''moving target''.

  11. Benchmarking and Disclosure: State and Local Policy Design Guide and Sample

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

    Policy Language | Department of Energy and Disclosure: State and Local Policy Design Guide and Sample Policy Language Benchmarking and Disclosure: State and Local Policy Design Guide and Sample Policy Language State and local policy design guide. Benchmarking and Disclosure: State and Local Policy Design Guide and Sample Policy Language More Documents & Publications Benchmarking and Disclosure: State and Local Policy Design Guide and Sample Policy Language Accessing DOE's Many Energy

  12. Benchmarking of Competitive Technologies

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

    Laboratory * National Renewable Energy Laboratory * ORNL Team Members - Steve Campbell, Chester Coomer - Andy Wereszczak, Materials Science and Technology Division Partners ...

  13. Federal Government Project Performance Benchmarks

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

    Federal Government Project Performance Benchmarks (All ASHRAE Zones) We define an ESCO as ... ESCOs in a similar climate zone (based on ASHRAE climate zones) or market segment (e.g., ...

  14. Data-Intensive Benchmarking Suite

    Energy Science and Technology Software Center (OSTI)

    2008-11-26

    The Data-Intensive Benchmark Suite is a set of programs written for the study of data-or storage-intensive science and engineering problems, The benchmark sets cover: general graph searching (basic and Hadoop Map/Reduce breadth-first search), genome sequence searching, HTTP request classification (basic and Hadoop Map/Reduce), low-level data communication, and storage device micro-beachmarking

  15. 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.

  16. 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.

  17. Benchmarking ESCO Projects in Public Sector Markets

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

    Chuck Goldman CAGoldman@lbl.gov Lawrence Berkeley National Laboratory State Energy Advisory Board (STEAB) Visit February 22, 2011 ļ‚§ U.S. ESCO Industry and Market Trends ļ‚§ ESCO Project Performance: New Results from LBNL/NAESCO Database ļ‚§ Benchmarking Tools/information to assist State/ Local Governments * U.S. ESCO industry revenues were $4.1B in 2008; 7% annual growth from 2006 to 2008 despite general economic slowdown * In 2008, MUSH (i.e., municipal/state govt, universities/ colleges,

  18. Benchmarking nuclear fission theory

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

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

    2015-05-14

    We suggest a small set of fission observables to be used as test cases for validation of theoretical calculations. Thus, 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.

  19. 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.

  20. 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.

  1. 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.

  2. Real-Time Benchmark Suite

    Energy Science and Technology Software Center (OSTI)

    1992-01-17

    This software provides a portable benchmark suite for real time kernels. It tests the performance of many of the system calls, as well as the interrupt response time and task response time to interrupts. These numbers provide a baseline for comparing various real-time kernels and hardware platforms.

  3. PRISMATIC CORE COUPLED TRANSIENT BENCHMARK

    SciTech Connect (OSTI)

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

    2011-06-01

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

  4. PyMPI Dynamic Benchmark

    Energy Science and Technology Software Center (OSTI)

    2007-02-16

    Pynamic is a benchmark designed to test a system's ability to handle the Dynamic Linking and Loading (DLL) requirements of Python-based scientific applications. This benchmark is developed to add a workload to our testing environment, a workload that represents a newly emerging class of DLL behaviors. Pynamic buildins on pyMPI, and MPI extension to Python C-extension dummy codes and a glue layer that facilitates linking and loading of the generated dynamic modules into the resultingmoreĀ Ā» pyMPI. Pynamic is configurable, enabling modeling the static properties of a specific code as described in section 5. It does not, however, model any significant computationss of the target and hence, it is not subjected to the same level of control as the target code. In fact, HPC computer vendors and tool developers will be encouraged to add it to their tesitn suite once the code release is completed. an ability to produce and run this benchmark is an effective test for valifating the capability of a compiler and linker/loader as well as an OS kernel and other runtime system of HPC computer vendors. In addition, the benchmark is designed as a test case for stressing code development tools. Though Python has recently gained popularity in the HPC community, it heavy DLL operations have hindered certain HPC code development tools, notably parallel debuggers, from performing optimally.Ā«Ā less

  5. Processor Emulator with Benchmark Applications

    Energy Science and Technology Software Center (OSTI)

    2015-11-13

    A processor emulator and a suite of benchmark applications have been developed to assist in characterizing the performance of data-centric workloads on current and future computer architectures. Some of the applications have been collected from other open source projects. For more details on the emulator and an example of its usage, see reference [1].

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

    Buildings Energy Data Book [EERE]

    2 Inpatient Medical Facilities Square Footage, Delivered Energy, Energy Intensity, Selected Years (billion) 1999 1.87 0.43 229.0 2003 1.91 0.48 249.3 2008 2.15 0.45 210.1 2010 2.24 0.48 213.7 2015 2.45 0.51 208.2 2020 2.66 0.54 202.9 2025 2.88 0.56 194.8 2030 3.09 0.59 190.9 2035 3.30 0.61 184.6 Source(s): Total Square Footage Energy Use Energy Intensity (quadrillion Btus) (thousand Btus/SF) EIA, The Commercial Energy Consumption Survey 2003, Table A2, Census Region, Number of Buildings and

  7. CLEERS Coordination & Joint Development of Benchmark Kinetics...

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

    More Documents & Publications CLEERS Coordination & Joint Development of Benchmark Kinetics for LNT & SCR CLEERS Coordination & Development of Catalyst Process Kinetic...

  8. Commercial and Multifamily Building Benchmarking and Disclosure

    Broader source: Energy.gov [DOE]

    Better Buildings Residential Network Peer Exchange Call: Commercial and Multifamily Building Benchmarking and Disclosure, Call Slides, July 25, 2013.

  9. HARBEC, Inc. Case Study for Superior Energy Performance | Department of

    Energy Savers [EERE]

    Department of Energy Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress Guide for Benchmarking Residential Energy Efficiency Program Progress as part of the DOE Better Buildings Program. Guide for Benchmarking Residential Energy Efficiency Program Progress (1.27 MB) More Documents & Publications Guide for Benchmarking Residential Program Progress with Examples Optional Residential Program Benchmarking Guide to Benchmarking Residential

  10. 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).

  11. 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.

  12. 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

  13. New York City Benchmarking and Transparency Policy Impact Evaluation Report

    Broader source: Energy.gov [DOE]

    Prepared for the U.S. Department of Energy, this Report provides an understanding of both the approach and methodologies used to evaluate the New York City's benchmarking and transparency policy, Local Law 84, and the results of the application of those methodologies to the early period of the policy's implementation.

  14. MPI Multicore Torus Communication Benchmark

    Energy Science and Technology Software Center (OSTI)

    2008-02-05

    The MPI Multicore Torus Communications Benchmark (TorusTest) measues the aggegate bandwidth across all six links from/to any multicore node in a logical torus. It can run in wo modi: using a static or a random mapping of tasks to torus locations. The former can be used to achieve optimal mappings and aggregate bandwidths that can be achieved with varying node mappings.

  15. Benchmarking and Self-Assessment in the Wine Industry

    SciTech Connect (OSTI)

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

    2005-12-01

    Not all industrial facilities have the staff or theopportunity to perform a detailed audit of their operations. The lack ofknowledge of energy efficiency opportunities provides an importantbarrier to improving efficiency. Benchmarking programs in the U.S. andabroad have shown to improve knowledge of the energy performance ofindustrial facilities and buildings and to fuel energy managementpractices. Benchmarking provides a fair way to compare the energyintensity of plants, while accounting for structural differences (e.g.,the mix of products produced, climate conditions) between differentfacilities. In California, the winemaking industry is not only one of theeconomic pillars of the economy; it is also a large energy consumer, witha considerable potential for energy-efficiency improvement. LawrenceBerkeley National Laboratory and Fetzer Vineyards developed the firstbenchmarking tool for the California wine industry called "BEST(Benchmarking and Energy and water Savings Tool) Winery". BEST Wineryenables a winery to compare its energy efficiency to a best practicereference winery. Besides overall performance, the tool enables the userto evaluate the impact of implementing efficiency measures. The toolfacilitates strategic planning of efficiency measures, based on theestimated impact of the measures, their costs and savings. The tool willraise awareness of current energy intensities and offer an efficient wayto evaluate the impact of future efficiency measures.

  16. Guideline for benchmarking thermal treatment systems for low-level mixed waste

    SciTech Connect (OSTI)

    Hoffman, D.P.; Gibson, L.V. Jr.; Hermes, W.H.; Bastian, R.E.; Davis, W.T.

    1994-01-01

    A process for benchmarking low-level mixed waste (LLMW) treatment technologies has been developed. When used in conjunction with the identification and preparation of surrogate waste mixtures, and with defined quality assurance and quality control procedures, the benchmarking process will effectively streamline the selection of treatment technologies being considered by the US Department of Energy (DOE) for LLMW cleanup and management. Following the quantitative template provided in the benchmarking process will greatly increase the technical information available for the decision-making process. The additional technical information will remove a large part of the uncertainty in the selection of treatment technologies. It is anticipated that the use of the benchmarking process will minimize technology development costs and overall treatment costs. In addition, the benchmarking process will enhance development of the most promising LLMW treatment processes and aid in transferring the technology to the private sector. To instill inherent quality, the benchmarking process is based on defined criteria and a structured evaluation format, which are independent of any specific conventional treatment or emerging process technology. Five categories of benchmarking criteria have been developed for the evaluation: operation/design; personnel health and safety; economics; product quality; and environmental quality. This benchmarking document gives specific guidance on what information should be included and how it should be presented. A standard format for reporting is included in Appendix A and B of this document. Special considerations for LLMW are presented and included in each of the benchmarking categories.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    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.

  18. Energy Data Access

    Broader source: Energy.gov [DOE]

    Access to energy data presents a significant opportunity for many organizations interested in energy management, benchmarking, disclosure, and energy efficiency services.

  19. Role of an Energy Manager | Department of Energy

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

    Role of an Energy Manager This presentation discusses the role of an energy manager in benchmarking energy consumption, setting goals, monitoring energy flow, and providing ...

  20. Pynamic: the Python Dynamic Benchmark

    SciTech Connect (OSTI)

    Lee, G L; Ahn, D H; de Supinksi, B R; Gyllenhaal, J C; Miller, P J

    2007-07-10

    Python is widely used in scientific computing to facilitate application development and to support features such as computational steering. Making full use of some of Python's popular features, which improve programmer productivity, leads to applications that access extremely high numbers of dynamically linked libraries (DLLs). As a result, some important Python-based applications severely stress a system's dynamic linking and loading capabilities and also cause significant difficulties for most development environment tools, such as debuggers. Furthermore, using the Python paradigm for large scale MPI-based applications can create significant file IO and further stress tools and operating systems. In this paper, we present Pynamic, the first benchmark program to support configurable emulation of a wide-range of the DLL usage of Python-based applications for large scale systems. Pynamic has already accurately reproduced system software and tool issues encountered by important large Python-based scientific applications on our supercomputers. Pynamic provided insight for our system software and tool vendors, and our application developers, into the impact of several design decisions. As we describe the Pynamic benchmark, we will highlight some of the issues discovered in our large scale system software and tools using Pynamic.

  1. Preliminary Benchmarking Efforts and MCNP Simulation Results...

    Office of Scientific and Technical Information (OSTI)

    Specifically, a recent measurement made in support of national security at the Nevada Test ... BENCHMARKS; NATIONAL SECURITY; NEVADA TEST SITE; RADIATION PROTECTION; RADIATIONS; ...

  2. Verification and validation benchmarks. (Technical Report) |...

    Office of Scientific and Technical Information (OSTI)

    Validation addresses the physics modeling accuracy of a computational simulation by comparing the computational results with experimental data. Code verification benchmarks and ...

  3. Method and system for benchmarking computers

    DOE Patents [OSTI]

    Gustafson, John L.

    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.

  4. Micro Kernel Benchmark for Evaluating Computer Performance

    Energy Science and Technology Software Center (OSTI)

    2007-04-06

    Crystal_mk is a micro benchmark that LLNL will use to evaluate vendor's software(e.g. compiler) and hardware(e.g. processor speed, memory design).

  5. CLEERS Coordination & Joint Development of Benchmark Kinetics...

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

    of Catalyst Process Kinetic Data CLEERS Coordination & Joint Development of Benchmark Kinetics for LNT & SCR Functionality of Commercial NOx Storage-Reduction Catalysts...

  6. CBEI Localized Benchmarking: Users and Analytics

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

    ... Real Estate Life Cycle Data, metrics, and content: * Benchmarking * DOE SEED * DOE BPD * ... Budget History CBEI BP3 (past) 212013 - 4302014 CBEI BP4 (current) 512014 - 430...

  7. Benchmark the Fuel Cost of Steam Generation

    Broader source: Energy.gov [DOE]

    This tip sheet on benchmarking the fuel cost of steam provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

  8. HPC Analytics Support. Requirements for Uncertainty Quantification Benchmarks

    SciTech Connect (OSTI)

    Paulson, Patrick R.; Purohit, Sumit; Rodriguez, Luke R.

    2015-05-01

    This report outlines techniques for extending benchmark generation products so they support uncertainty quantification by benchmarked systems. We describe how uncertainty quantification requirements can be presented to candidate analytical tools supporting SPARQL. We describe benchmark data sets for evaluating uncertainty quantification, as well as an approach for using our benchmark generator to produce data sets for generating benchmark data sets.

  9. Department of Defense Benchmarks VPP in Visit to Hanford

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  10. Closing the gap: DuPont`s response to the 1991 industrial power benchmarking study

    SciTech Connect (OSTI)

    Bailey, W.F.

    1996-12-31

    In 1991, DuPont benchmarked its industrial power facilities against other industrial and independent power producers, identified key areas of weakness and developed a blueprint for change to improve its energy competitiveness. Since then, efforts have been undertaken to address the weaknesses identified in the benchmarking study and to capitalize on strengths in DuPont`s various industrial power operations. This paper provides an update to the DuPont Industrial Power Benchmarking Study and describes major focus areas such as competitive electricity sourcing, control technology, performance assessment tools and internal networking efforts.

  11. Guide to Benchmarking Residential Program Progress - CALL FOR...

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

    ... BBNP Peer Group Benchmarking Examples Step 7 Recommended Benchmarking Metrics ... should review and approve of the methodology used by contractors to estimate ...

  12. Benchmarking and Disclosure: State and Local Policy Design Guide...

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

    Benchmarking and Disclosure: State and Local Policy Design Guide and Sample Policy Language State and local policy design guide. Benchmarking and Disclosure: State and Local Policy ...

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

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

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

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

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

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

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

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

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

  16. Preliminary Benchmarking and MCNP Simulation Results for Homeland...

    Office of Scientific and Technical Information (OSTI)

    Preliminary Benchmarking and MCNP Simulation Results for Homeland Security Citation Details In-Document Search Title: Preliminary Benchmarking and MCNP Simulation Results for ...

  17. Developing integrated benchmarks for DOE performance measurement

    SciTech Connect (OSTI)

    Barancik, J.I.; Kramer, C.F.; Thode, Jr. H.C.

    1992-09-30

    The objectives of this task were to describe and evaluate selected existing sources of information on occupational safety and health with emphasis on hazard and exposure assessment, abatement, training, reporting, and control identifying for exposure and outcome in preparation for developing DOE performance benchmarks. Existing resources and methodologies were assessed for their potential use as practical performance benchmarks. Strengths and limitations of current data resources were identified. Guidelines were outlined for developing new or improved performance factors, which then could become the basis for selecting performance benchmarks. Data bases for non-DOE comparison populations were identified so that DOE performance could be assessed relative to non-DOE occupational and industrial groups. Systems approaches were described which can be used to link hazards and exposure, event occurrence, and adverse outcome factors, as needed to generate valid, reliable, and predictive performance benchmarks. Data bases were identified which contain information relevant to one or more performance assessment categories . A list of 72 potential performance benchmarks was prepared to illustrate the kinds of information that can be produced through a benchmark development program. Current information resources which may be used to develop potential performance benchmarks are limited. There is need to develop an occupational safety and health information and data system in DOE, which is capable of incorporating demonstrated and documented performance benchmarks prior to, or concurrent with the development of hardware and software. A key to the success of this systems approach is rigorous development and demonstration of performance benchmark equivalents to users of such data before system hardware and software commitments are institutionalized.

  18. Sensitivity Analysis of OECD Benchmark Tests in BISON

    SciTech Connect (OSTI)

    Swiler, Laura Painton; Gamble, Kyle; Schmidt, Rodney C.; Williamson, Richard

    2015-09-01

    This report summarizes a NEAMS (Nuclear Energy Advanced Modeling and Simulation) project focused on sensitivity analysis of a fuels performance benchmark problem. The benchmark problem was defined by the Uncertainty Analysis in Modeling working group of the Nuclear Science Committee, part of the Nuclear Energy Agency of the Organization for Economic Cooperation and Development (OECD ). The benchmark problem involv ed steady - state behavior of a fuel pin in a Pressurized Water Reactor (PWR). The problem was created in the BISON Fuels Performance code. Dakota was used to generate and analyze 300 samples of 17 input parameters defining core boundary conditions, manuf acturing tolerances , and fuel properties. There were 24 responses of interest, including fuel centerline temperatures at a variety of locations and burnup levels, fission gas released, axial elongation of the fuel pin, etc. Pearson and Spearman correlatio n coefficients and Sobol' variance - based indices were used to perform the sensitivity analysis. This report summarizes the process and presents results from this study.

  19. Role of an Energy Manager

    Broader source: Energy.gov [DOE]

    This presentation discusses the role of an energy manager in benchmarking energy consumption, setting goals, monitoring energy flow, and providing training and communications.

  20. Geant4 Computing Performance Benchmarking and Monitoring

    SciTech Connect (OSTI)

    Dotti, Andrea; Elvira, V. Daniel; Folger, Gunter; Genser, Krzysztof; Jun, Soon Yung; Kowalkowski, James B.; Paterno, Marc

    2015-12-23

    Performance evaluation and analysis of large scale computing applications is essential for optimal use of resources. As detector simulation is one of the most compute intensive tasks and Geant4 is the simulation toolkit most widely used in contemporary high energy physics (HEP) experiments, it is important to monitor Geant4 through its development cycle for changes in computing performance and to identify problems and opportunities for code improvements. All Geant4 development and public releases are being profiled with a set of applications that utilize different input event samples, physics parameters, and detector configurations. Results from multiple benchmarking runs are compared to previous public and development reference releases to monitor CPU and memory usage. Observed changes are evaluated and correlated with code modifications. Besides the full summary of call stack and memory footprint, a detailed call graph analysis is available to Geant4 developers for further analysis. The set of software tools used in the performance evaluation procedure, both in sequential and multi-threaded modes, include FAST, IgProf and Open|Speedshop. In conclusion, the scalability of the CPU time and memory performance in multi-threaded application is evaluated by measuring event throughput and memory gain as a function of the number of threads for selected event samples.

  1. Geant4 Computing Performance Benchmarking and Monitoring

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

    Dotti, Andrea; Elvira, V. Daniel; Folger, Gunter; Genser, Krzysztof; Jun, Soon Yung; Kowalkowski, James B.; Paterno, Marc

    2015-12-23

    Performance evaluation and analysis of large scale computing applications is essential for optimal use of resources. As detector simulation is one of the most compute intensive tasks and Geant4 is the simulation toolkit most widely used in contemporary high energy physics (HEP) experiments, it is important to monitor Geant4 through its development cycle for changes in computing performance and to identify problems and opportunities for code improvements. All Geant4 development and public releases are being profiled with a set of applications that utilize different input event samples, physics parameters, and detector configurations. Results from multiple benchmarking runs are compared tomoreĀ Ā» previous public and development reference releases to monitor CPU and memory usage. Observed changes are evaluated and correlated with code modifications. Besides the full summary of call stack and memory footprint, a detailed call graph analysis is available to Geant4 developers for further analysis. The set of software tools used in the performance evaluation procedure, both in sequential and multi-threaded modes, include FAST, IgProf and Open|Speedshop. In conclusion, the scalability of the CPU time and memory performance in multi-threaded application is evaluated by measuring event throughput and memory gain as a function of the number of threads for selected event samples.Ā«Ā less

  2. Industrial Energy Audit Guidebook: Guidelines for Conducting...

    Open Energy Info (EERE)

    audit, conducting an inventory and measuring energy use, analyzing energy bills, benchmarking, analyzing energy use patterns, identifying energy-efficiency opportunities,...

  3. Experiment vs simulation RT WFNDEC 2014 benchmark: CIVA results

    SciTech Connect (OSTI)

    Tisseur, D. Costin, M. Rattoni, B. Vienne, C. Vabre, A. Cattiaux, G.; Sollier, T.

    2015-03-31

    The French Atomic Energy Commission and Alternative Energies (CEA) has developed for years the CIVA software dedicated to simulation of NDE techniques such as Radiographic Testing (RT). RT modelling is achieved in CIVA using combination of a determinist approach based on ray tracing for transmission beam simulation and a Monte Carlo model for the scattered beam computation. Furthermore, CIVA includes various detectors models, in particular common x-ray films and a photostimulable phosphor plates. This communication presents the results obtained with the configurations proposed in the World Federation of NDEC 2014 RT modelling benchmark with the RT models implemented in the CIVA software.

  4. Advanced Technology Vehicle Lab Benchmarking - Level 1

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

    Vehicle Lab Benchmarking - Level 1 2014 U.S. DOE Vehicle Technologies Program Annual Merit Review and Peer Evaluation Meeting Kevin Stutenberg - Principal Investigator Argonne National Laboratory June 17, 2014 Project ID # VSS030 This presentation does not contain any proprietary, confidential, or otherwise restricted information. Overview ļ‚§ Timeline - Benchmarking at ANL started in 1998 - FY13 & FY14 Completed Testing: * 10 vehicles tested in FY13, 4 in FY14 * Thermal impact study *

  5. 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.

  6. Benchmarking: The foundation for performance improvement

    SciTech Connect (OSTI)

    Fogarty, J.; Miller, R.; Dong, C.

    1996-07-01

    This paper focuses on the key role that Benchmarking plays in supporting and accelerating all forms of performance improvement. It outlines the continuing need for benchmarking as the industry becomes more competitive, as well as stressing the need for sharing practices both in and outside of the industry. The successful benchmarking program for performance improvement must start by identifying areas that present the most opportunity for improvement. In preparing for external benchmarking one must concentrate on picking partners that complement one`s weaknesses, while also addressing confidentiality, data accuracy, validation, and normalization issues. Essential to success is that the project yield actionable results and help set concrete improvement targets. A description of how to use benchmarking findings to identify areas with maximum opportunity and solutions (i.e., identify areas with target gaps and practices to close the gaps) is given. Additionally, an example improvement plan and summary of results from its implementation at Los Angeles Department of Water and Power (LADWP) are provided.

  7. Tax Credits, Rebates & Savings | Department of Energy

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

    also administers the SCORE Program which provides incentives, energy performance benchmarking, planning workshops, technical assistance, and communications support for...

  8. 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.

  9. Building Energy Transparency Report | Department of Energy

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

    Transparency Report Building Energy Transparency Report This report discusses best practices in implementing benchmarking policies. It includes policy profiles from several cities ...

  10. 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.