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Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

Hospital Energy Benchmarking Guidance  

NLE Websites -- All DOE Office Websites (Extended Search)

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...

2

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

Region Benchmarks 1 Source & notes HOSPITAL BUILDING ENERGYbenchmarks are based on hospital energy end use estimates presented on LBNL’s EnergyIQ commercial building

Singer, Brett C.

2010-01-01T23:59:59.000Z

3

Hospital Energy Benchmarking Guidance - Version 1.0  

Science Conference Proceedings (OSTI)

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.

Singer, Brett C.

2009-09-08T23:59:59.000Z

4

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

energy conversion is provided in the documentation for the Energy Star facility-level benchmarking system

Singer, Brett C.

2010-01-01T23:59:59.000Z

5

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

major building energy services and systems: - Cooling (equipment and other energy-intensive services are additionalBtu) + energy to distribute service within hospital (Btu of

Singer, Brett C.

2010-01-01T23:59:59.000Z

6

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

systems a. Identify thermal energy flows (cooling, spaceestimated from the thermal energy supplied to the hospitaland distribute this thermal energy throughout the facility.

Singer, Brett C.

2010-01-01T23:59:59.000Z

7

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

08B funded by the California Energy Commission, Publicsponsored by the California Energy Commission (Commission).was funded by the California Energy Commission through a

Singer, Brett C.

2010-01-01T23:59:59.000Z

8

Hospital Energy Benchmarking Guidance - Version 1.0  

E-Print Network (OSTI)

use attribution to thermal services (cooling, space heating,a. Identify thermal energy flows (cooling, space heating,s). 1a. Identify thermal energy flows (cooling, heating,

Singer, Brett C.

2010-01-01T23:59:59.000Z

9

Energy Benchmarking Database  

E-Print Network (OSTI)

Building energy benchmarking is a useful starting point for commercial building owners and operators to target energy savings opportunities. There are a number of tools and methods for benchmarking energy use. Benchmarking based on regional data can provides more relevant information for California buildings than national tools such as Energy Star. This paper discusses issues related to benchmarking commercial building energy use and the development of Cal-Arch, a building energy benchmarking database for California. Currently Cal-Arch uses existing survey data from California's Commercial End Use Survey (CEUS), a largely underutilized wealth of information collected by California's major utilities. Doe's Commercial Building Energy Consumption Survey (CBECS) is used by a similar tool, Arch, and by a number of other benchmarking tools. Future versions of Arch/Cal-Arch will utilize additional

Satkartar Kinney; Mary Ann Piette; Satkartar Kinney; Mary Ann Piette; Ernest Orlando Lawrence Berkeley; Satkartar Kinney; Mary Ann Piette

2002-01-01T23:59:59.000Z

10

Building energy benchmarks and rating tools | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Building energy benchmarks and rating tools Building energy benchmarks and rating tools Building energy benchmarks and rating tools Building energy benchmarks and rating tools More...

11

Building Energy Use Benchmarking Guidance  

NLE Websites -- All DOE Office Websites (Extended Search)

Building Energy Use Benchmarking Guidance April 15, 2010 EISA SECTION 432 - Benchmarking of Federal Facilities (42 U.S.C. 8253 Subsection (f), Use of Energy and Water Efficiency...

12

California commercial building energy benchmarking  

E-Print Network (OSTI)

benchmarks while control companies and utilities can provide direct tracking of energy use and combine data from multiple buildings.

Kinney, Satkartar; Piette, Mary Ann

2003-01-01T23:59:59.000Z

13

Building Energy Use Benchmarking Guidance  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Building Energy Use Benchmarking Guidance April 15, 2010 EISA SECTION 432 - Benchmarking of Federal Facilities (42 U.S.C. 8253 Subsection (f), Use of Energy and Water Efficiency Measures in Federal Buildings) I. Background A. Authority - Benchmarking Requirements Section 432 of the Energy Independence and Security Act of 2007 (EISA) requires the Secretary of the United States Department of Energy (DOE) to select or develop a building energy use benchmarking system and to issue guidance for use of the system. EISA requires the designated agency energy managers to enter energy use data for each metered building that is (or is a part of) a covered facility into a building energy use benchmarking system, such as the ENERGY STAR Portfolio Manager tool (Portfolio Manager) (see 42 U.S.C. 8253(f)(8)(A), as

14

California commercial building energy benchmarking  

SciTech Connect

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 hence are reluctant to share their data. The California Commercial End Use Survey (CEUS), the primary source of data for Cal-Arch, is a unique source of information on commercial buildings in California. It has not been made public; however, it was made available by CEC to LBNL for the purpose of developing a public benchmarking tool.

Kinney, Satkartar; Piette, Mary Ann

2003-07-01T23:59:59.000Z

15

Benchmarking Energy Use in Schools  

E-Print Network (OSTI)

Local governments across the United States spent approximately $5 billion, an average of $100 million per state, on energy for their public schools in 1992. This represents a tremendous drain on education dollars of which part (captured through building system and operational efficiency improvements) could be directed toward more important educational needs. States and local governments know there are sizeable opportunities, but are challenged by how and where to start. IdentifLing the worst energy performers, with the most potential, easily and at low cost is a key in motivating local governments into action. Energy benchmarking is an excellent tool for this purpose. The 1992 US Energy Information Administration’s Commercial Buildings Energy Consumption Survey (CBECS) database is investigated as a source for energy benchmarks for local-government-owned schools. Average energy use values derived from CBECS are shown to be poor energy benchmarks. Simple distributions of building energy use values derived from CBECS, however, are shown to be reliable energy benchmarks for local schools. These can be used to gauge the energy performance of your local public school. Using a stepwise, linear-regression analysis, the primary determinants of electric use in local schools were found to be gross floor area, year of construction, use of walk-in coolers, electric cooling, non-electric energy use, roof construction, and HVAC operational responsibility. The determinants vary depending on the school’s location. While benchmarking based on simple distributions is a good method, an improved benchmarking method which can account for these additional drivers of energy use is detailed.

Terv R. Sharp; Oak Ridge; National Laboratoy

1998-01-01T23:59:59.000Z

16

Benchmarking  

NLE Websites -- All DOE Office Websites (Extended Search)

energy and water use, and rating the energy performance of selected building types. The tool enables users to: * Track multiple energy and water meters; * Benchmark facilities...

17

Outlook for Industrial Energy Benchmarking  

E-Print Network (OSTI)

The U.S. Environmental Protection Agency is exploring options to sponsor an industrial energy efficiency benchmarking study to identify facility specific, cost-effective best practices and technologies. Such a study could help develop a common understanding of opportunities for energy efficiency improvements and provide additional information to improve the competitiveness of U.S. industry. The EPA's initial benchmarking efforts will focus on industrial power facilities. The key industries of interest include the most energy intensive industries, such as chemical, pulp and paper, and iron and steel manufacturing.

Hartley, Z.

2000-04-01T23:59:59.000Z

18

Energy-Efficiency Technologies and Benchmarking the Energy Intensity...  

NLE Websites -- All DOE Office Websites (Extended Search)

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

19

DataTrends Benchmarking and Energy Savings  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking and Energy Savings Do buildings that consistently benchmark energy performance save energy? The answer is yes, based on the large number of buildings using the U.S....

20

Measure, track, and benchmark | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

tracking and benchmarking of energy across all operations are your most powerful energy waste reduction tools. Reducing energy waste requires that all forms of energy be...

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Restaurant Energy Use Benchmarking Guideline  

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

22

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

Report 4-10-08 Metrics and Benchmarks for Energy Efficiencybenchmarking database. The benchmarks for standard, good andefficiency metrics and benchmarks for laboratories, which

Mathew, Paul; Rumsey Engineers

2008-01-01T23:59:59.000Z

23

Use ENERGY STAR benchmarking tools | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Use ENERGY STAR benchmarking tools Use ENERGY STAR benchmarking tools Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use Learn about benchmarking Use ENERGY STAR benchmarking tools ENERGY STAR in action Communicate and educate

24

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

energy efficiency metrics and benchmarks for laboratories, at the whole buildingBuilding Site Energy BTU/sf-yr). A performance Benchmark isBenchmarks Good Practice ID Building B1 Name Unit Building Site Energy

Mathew, Paul

2007-01-01T23:59:59.000Z

25

Building Energy Benchmarking between the United States and China...  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Benchmarking between the United States and China: Methods and Challenges Title Building Energy Benchmarking between the United States and China: Methods and Challenges...

26

Benchmarking and Energy Saving Tool | Open Energy Information  

Open Energy Info (EERE)

Benchmarking and Energy Saving Tool Benchmarking and Energy Saving Tool Jump to: navigation, search Tool Summary Name: Benchmarking and Energy Saving Tool Agency/Company /Organization: Lawrence Berkeley National Laboratory Sector: Energy Focus Area: Energy Efficiency, - Central Plant, Industry Topics: Pathways analysis Resource Type: Software/modeling tools User Interface: Spreadsheet Website: industrial-energy.lbl.gov/node/100 Cost: Free Language: English References: Benchmarking and Energy Saving Tool [1] Logo: Benchmarking and Energy Saving Tool The Benchmarking and Energy Saving Tool (BEST) is an Excel-based spreadsheet energy analysis tool developed by Lawrence Berkeley National Laboratory. The Benchmarking and Energy Saving Tool (BEST) is an Excel-based spreadsheet energy analysis tool developed by Lawrence Berkeley National

27

DataTrends Energy Use Benchmarking  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking Benchmarking The U.S. Environmental Protection Agency's (EPA) ENERGY STAR Portfolio Manager is changing the way organizations track and manage energy. As of December 2011, organizations have used Portfolio Manager to track and manage the energy use of over 260,000 buildings across all 50 states, representing over 28 billion square feet (nearly 40% of the commercial market). Because of this widespread market adoption, EPA has prepared the DataTrends series to examine benchmarking and trends in energy and water consumption in Portfolio Manager. To learn more, visit www.energystar.gov/DataTrends. Many different types of organizations use Portfolio Manager to benchmark the energy use of their buildings. Office, K-12

28

Tools for tracking and benchmarking facility energy performance | ENERGY  

NLE Websites -- All DOE Office Websites (Extended Search)

Industrial energy management Industrial energy management » Measure, track, and benchmark » Tools for tracking and benchmarking facility energy performance Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Get started with ENERGY STAR Make the business case Build an energy management program Measure, track, and benchmark Tools for benchmarking energy management practices

29

Benchmark energy use | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmark energy use Benchmark energy use Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use Learn about benchmarking Use ENERGY STAR benchmarking tools ENERGY STAR in action Communicate and educate Find out who's partnered with ENERGY STAR

30

Energy Tips: Benchmark the Fuel Cost of Steam Generation | ENERGY...  

NLE Websites -- All DOE Office Websites (Extended Search)

You are here Home Buildings & Plants Energy Tips: Benchmark the Fuel Cost of Steam Generation Secondary menu About us Press room Contact Us Portfolio Manager Login...

31

Use Energy Information Services to Benchmark with ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

service products that meet different customer needs including: > Utility Bill Management: ENERGY STAR automated benchmarking, utility tracking, bill processing and payment,...

32

Tools for benchmarking energy management practices | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

benchmarking energy management practices Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new...

33

California commercial building energy benchmarking  

E-Print Network (OSTI)

Internal memorandum to California Energy Commission. HPCBS #data sets. Report to California Energy Commission. HPCBS #Methodologies). Report to California Energy Commission.

Kinney, Satkartar; Piette, Mary Ann

2003-01-01T23:59:59.000Z

34

Cleanroom Energy Efficiency: Metrics and Benchmarks  

Science Conference Proceedings (OSTI)

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

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

2010-07-07T23:59:59.000Z

35

ENERGY STAR Score for Hospitals  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospitals in the United States Page 1 ENERGY STAR Score for Hospitals in the United States Technical Reference OVERVIEW The ENERGY STAR Score for Hospitals applies to general...

36

Measure, track, and benchmark | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Measure, track, and benchmark Measure, track, and benchmark Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Get started with ENERGY STAR Make the business case Build an energy management program Measure, track, and benchmark Tools for benchmarking energy management practices Tools for tracking and benchmarking facility energy performance ENERGY STAR Energy Performance Indicators for plants

37

Plant Level Energy Performance Benchmarking  

E-Print Network (OSTI)

Since the early 1990's, the U.S. Environmental Protection Agency (EPA) has worked with U.S. corporations to reduce their energy requirements in buildings and office space through voluntary programs such as ENERGY STAR®. Corporate partners within ENERGY STAR have enjoyed success by applying the principles fundamental to this program. However, a common view was held that ENERGY STAR did not fully address energy use and performance of manufacturing plants. While there are many partners primarily working in manufacturing industries within ENERGY STAR, the program to date has focused primarily on the energy use and performance of commercial buildings rather than manufacturing plants. In the upcoming year, the EPA is poised to deliver new program components to facilitate broader corporate participation in ENERGY STAR. The business-oriented approach for building owners central to ENERGY STAR will be expanded to accommodate the energy use of manufacturing businesses. With introduction of the enhanced industrial manufacturing offering, ENERGY STAR will have a complete group of tools that will appeal to all corporate partners. Through understanding of their performance relative to their peers, EPA hopes to make available to the public tools to assess the performance of their plants relative to their peers. The objective of these tools is to provide plant managers and corporate executives with actionable information that can make their plants more competitive, more profitable, and more environmentally benign.

Hicks, T. W.

2001-05-01T23:59:59.000Z

38

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

benchmarks that are based on the actual measured energy use of comparable buildings.energy efficiency metrics and benchmarks for laboratories, which have been developed and applied to several laboratory buildings –building targets be evaluated against empirical benchmarks that are based on the measured energy

Mathew, Paul; Rumsey Engineers

2008-01-01T23:59:59.000Z

39

Energy Market Profiles: Hospital Buildings, Equipment, and Energy Use  

Science Conference Proceedings (OSTI)

This report profiles the U.S. healthcare market on size and energy-related characteristics and provides energy benchmarking data that can be used to make meaningful comparisons between healthcare facilities. The intent of the report is to provide both utility and hospital managers with a better understanding of the key characteristics of the healthcare market and enhance their abilities to assess how well their facilities are performing relative to hospitals with similar energy equipment.

1999-12-22T23:59:59.000Z

40

Use Energy Information Services to Benchmark with ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Information Services to Energy Information Services to Benchmark with ENERGY STAR ® Tracking Building Energy Performance Tracking a building's energy performance provides a building owner or manager with critical knowledge to make improvements to the building's operations and reduce energy consumption. Energy information services offer a variety of ways to help companies obtain and organize this valuable energy information. Energy information service providers that have partnered with ENERGY STAR offer an additional tool to assess the energy performance of buildings: automated benchmarking. ENERGY STAR is the national symbol for saving the environment through energy efficiency, recognized by more than 65 percent of the American public. Automated benchmarking allows energy information service providers to provide their customers with ENERGY STAR

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

Energy Star Building Upgrade Manual Benchmarking Chapter 2  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks and Apply the Results 9 2.4 Summary 12 Bibliography 12 Glossary G-1 ENERGY STAR Building Manual 2 2. Benchmarking 2.1 Overview Businesses are reducing their...

42

Cleanroom Energy Efficiency: Metrics and Benchmarks  

E-Print Network (OSTI)

The key metrics and benchmarks to evaluate the efficiency ofEfficiency: Metrics and Benchmarks Paul A. Mathew, WilliamEfficiency: Metrics and Benchmarks Paul A. Mathew, Ph.D,

Mathew, Paul A.

2012-01-01T23:59:59.000Z

43

Building Energy Use Benchmarking Guidance | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Use Benchmarking Guidance Use Benchmarking Guidance Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

44

ENERGY STAR Building Upgrade Manual Chapter 2: Benchmarking | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

2: Benchmarking 2: Benchmarking Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

45

ENERGY STAR Building Upgrade Manual Chapter 2: Benchmarking ...  

NLE Websites -- All DOE Office Websites (Extended Search)

efficiency upgrades presented in an easy-to-understand framework designed especially for ENERGY STAR partners. This 12-page chapter defines benchmarking, what successful...

46

Learn about benchmarking | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Learn about benchmarking Learn about benchmarking Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section How can we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use Learn about benchmarking Use ENERGY STAR benchmarking tools ENERGY STAR in action Communicate and educate Find out who's partnered with ENERGY STAR

47

Energy Star for Hospitals 2011 Update: Progression or Regression?  

E-Print Network (OSTI)

The Energy Star performance rating system for buildings has achieved widespread adoption in the building sector as a standard benchmark for energy performance. In 2011, the U.S. EPA released an updated technical methodology for its Energy Star performance rating system for hospitals, shifting how the score is calculated. The new rating system, similar to the previous rating system, is still a poor metric for benchmarking hospitals and should be used with caution. The aim of this paper is to critique the methodology used in the Energy Star for Hospitals 2011 Update. The paper reviews the changes between the 2001 methodology and 2011 methodology, how Energy Star views usage of different fuel types in its score, and lastly items that did not change in the 2011 hospital methodology update which are still causing confusion amongst Energy Star users and are causing significant error in the Energy Star score calculations.

Travis, B.

2012-01-01T23:59:59.000Z

48

Energy Efficient Cities: Assessment Tool and Benchmarking Practices | Open  

Open Energy Info (EERE)

Efficient Cities: Assessment Tool and Benchmarking Practices Efficient Cities: Assessment Tool and Benchmarking Practices Jump to: navigation, search Tool Summary Name: Energy Efficient Cities: Assessment Tool and Benchmarking Practices Agency/Company /Organization: World Bank Sector: Energy Focus Area: Energy Efficiency, Buildings, Industry Topics: Resource assessment, Technology characterizations Resource Type: Publications, Guide/manual Website: www.esmap.org/esmap/sites/esmap.org/files/P115793_Energy%20Efficient%2 Energy Efficient Cities: Assessment Tool and Benchmarking Practices Screenshot References: EE Cities[1] Overview "Energy Efficient Cities: Assessment Tools and Benchmarking Practices has been developed from a careful review of selected papers presented during two ESMAP-sponsored sessions at the fifth World Bank Urban Research

49

Healthcare Energy Efficiency Research and Development  

E-Print Network (OSTI)

as Energy Star to benchmark the performance of the building,buildings and campuses in same portfolio or against outside facilities (external benchmarking). Calculating Hospital Energy Benchmark

Lanzisera,, Judy Lai, Steven M.

2012-01-01T23:59:59.000Z

50

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

E-Print Network (OSTI)

benchmark the energy performance of California’s buildings.benchmark the energy performance of California’s buildings.benchmark with quantitative statistics guiding the building evaluation. Energy

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

51

Use ENERGY STAR benchmarking tools | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

tools Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy...

52

The Role of Benchmarking in Promoting Strong Energy Management Systems  

E-Print Network (OSTI)

The significance of formalized energy management practices and programs in driving and sustaining energy efficiency improvements within the industrial sector has become more widely recognized over the past several years. The release of the ISO 50001 energy management standard will also further elevate the role of energy management systems. For over the past 10 years, the US EPA's ENERGY STAR Commercial and Industrial program have focused on promoting and supporting the development of strong corporate management programs. A key aspect of facilitating the establishment of energy management programs has been the development of benchmarking tools that help companies evaluate the energy performance and practices. This paper will examine some of the lessons learned in developing both quantitative and qualitative energy management benchmarking tools and the importance of establishing good energy performance indicators. The paper will examine the pros and cons of different types of quantitative energy performance benchmarks. The value of qualitative benchmarking tools to gauge management practices will also be discussed. Lastly, recommendations for how to further the development energy benchmarks shall be presented.

Tunnessen, W.

2010-01-01T23:59:59.000Z

53

Strategies for energy benchmarking in cleanrooms and laboratory-type facilities  

E-Print Network (OSTI)

benchmark by the actual energy consumption (Figure 4). The effectiveness metrics from multiple buildings

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

2000-01-01T23:59:59.000Z

54

Energy Benchmarking And Energy Saving Assessment In High-Rise Multi-Unit Residential Buildings.  

E-Print Network (OSTI)

??The purpose of energy benchmarking is to promote efficient use of energy. Knowing that the energy used by a building is excessive is the first… (more)

Huang, Yirong

2012-01-01T23:59:59.000Z

55

Hospital Renovations | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hospital Renovations Hospital Renovations Hospital Renovations October 16, 2013 - 4:53pm Addthis Renewable Energy Options for Hospital Renovations Solar Water Heating Geothermal Heat Pumps Biomass Heating Photovoltaics (PV) 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. Process Heating Options When a facility requires process heat, there are a number of renewable energy options. High-temperature solar water heating can provide process-level steam or heat, or a traditional solar water heating system or a geothermal heat pumps can be used to pre-heat the fluid to reduce energy requirements to reach necessary temperatures.

56

Benchmarking and Disclosure: Lessons from Leading Cities | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking and Disclosure: Lessons from Leading Cities Benchmarking and Disclosure: Lessons from Leading Cities Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

57

Cleanroom Energy Efficiency: Metrics and Benchmarking  

NLE Websites -- All DOE Office Websites (Extended Search)

ASHRAE Journal Volume 52 Date Published 102010 Abstract Cleanrooms are among the most energy-intensive types of facilities. This is primarily due to the cleanliness...

58

Ways everyone can benchmark performance | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

makes the most sense to you. Then compare them by weather-normalized energy use intensity, costs, water use, greenhouse gas emissions, or another performance indicator of...

59

Building Technologies Office: Hospital Energy Alliance Videos  

NLE Websites -- All DOE Office Websites (Extended Search)

Commercial Buildings Commercial Buildings Printable Version Share this resource Send a link to Building Technologies Office: Hospital Energy Alliance Videos to someone by E-mail Share Building Technologies Office: Hospital Energy Alliance Videos on Facebook Tweet about Building Technologies Office: Hospital Energy Alliance Videos on Twitter Bookmark Building Technologies Office: Hospital Energy Alliance Videos on Google Bookmark Building Technologies Office: Hospital Energy Alliance Videos on Delicious Rank Building Technologies Office: Hospital Energy Alliance Videos on Digg Find More places to share Building Technologies Office: Hospital Energy Alliance Videos on AddThis.com... About Take Action to Save Energy Activities Partner with DOE Better Buildings Challenge Better Buildings Alliance

60

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

E-Print Network (OSTI)

Up? Energy Efficiency Metrics and Benchmarks for Data CenterUp? Energy Efficiency Metrics and Benchmarks for Data CenterHigh Med/High Figure 4. Benchmarks for Return Temperature

Mathew, Paul

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

2004 pro- vide an additional benchmark. F O R T H E Table 3.Performance Metrics & Benchmarks Notes A performance MetricBTU/sf-yr). A performance Benchmark is a particular value of

Mathew, Paul

2007-01-01T23:59:59.000Z

62

Energy Tips: Benchmark the Fuel Cost of Steam Generation  

NLE Websites -- All DOE Office Websites (Extended Search)

Type (sales unit) Type (sales unit) Energy Content Combustion (Btu/sales unit) Efficiency (%) Natural Gas (therm) 100,000 81.7 Natural Gas (cubic foot) 1,030 81.7 Distillate/No. 2 Oil (gallon) 138,700 84.6 Residual/No. 6 Oil (gallon) 149,700 86.1 Coal (ton) 27,000,000 87.6 Benchmark the Fuel Cost of Steam Generation Benchmarking the fuel cost of steam generation ($/1000 lbs of steam) is an effective way to assess the efficiency of your steam system. This cost is dependent upon fuel type, unit fuel cost, boiler efficiency, feedwater temperature, and steam pressure. This calculation provides a good first approximation for the cost of generating steam and serves as a tracking device to allow for boiler performance monitoring. Table 1 shows the heat input required to produce one pound of saturated

63

DataTrends: Energy Use Benchmarking | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Use Benchmarking Energy Use Benchmarking Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder

64

Metrics and Benchmarks for Energy Efficiency in Laboratories  

Science Conference Proceedings (OSTI)

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).

Mathew, Paul

2007-10-26T23:59:59.000Z

65

DataTrends: Benchmarking and Energy Savings | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

my money go? Set and Save with ENERGY STAR Product Finder Rebate Finder Store Locator Energy Savings At Home Energy Savings At Home Improving your home's energy efficiency with...

66

Building Energy Benchmarking between the U.S. and China: An Overview...  

NLE Websites -- All DOE Office Websites (Extended Search)

Building Energy Benchmarking between the U.S. and China: An Overview of the CERC-BEE Building Energy Monitoring Project Speaker(s): Le Yang Tianzhen Hong Wei Feng Date: February...

67

Hospital Energy Benchmarking Guidance - Version 1.0  

NLE Websites -- All DOE Office Websites (Extended Search)

Center (DRRC) performed a technology evaluation for the Pacific Gas and Electric Company (PG&E) Emerging Technologies Programs. This report summarizes the design, deployment,...

68

Energy characterization of mobile devices and applications using power-thermal benchmarks  

Science Conference Proceedings (OSTI)

Power consumption and heat dissipation are the major factors that limit the performance and mobility of battery-powered devices. As they become key elements in the design of mobile devices and their applications, different power and thermal management ... Keywords: Energy characterization, Power benchmark, Power management, Thermal benchmark, Thermal management

Marius Marcu; Dacian Tudor; Horatiu Moldovan; Sebastian Fuicu; Mircea Popa

2009-07-01T23:59:59.000Z

69

Review of California and National Methods for Energy PerformanceBenchmarking of Commercial Buildings  

SciTech Connect

This benchmarking review has been developed to support benchmarking planning and tool development under discussion by the California Energy Commission (CEC), Lawrence Berkeley National Laboratory (LBNL) and others in response to the Governor's Executive Order S-20-04 (2004). The Executive Order sets a goal of benchmarking and improving the energy efficiency of California's existing commercial building stock. The Executive Order requires the CEC to propose ''a simple building efficiency benchmarking system for all commercial buildings in the state''. This report summarizes and compares two currently available commercial building energy-benchmarking tools. One tool is the U.S. Environmental Protection Agency's Energy Star National Energy Performance Rating System, which is a national regression-based benchmarking model (referred to in this report as Energy Star). The second is Lawrence Berkeley National Laboratory's Cal-Arch, which is a California-based distributional model (referred to as Cal-Arch). Prior to the time Cal-Arch was developed in 2002, there were several other benchmarking tools available to California consumers but none that were based solely on California data. The Energy Star and Cal-Arch benchmarking tools both provide California with unique and useful methods to benchmark the energy performance of California's buildings. Rather than determine which model is ''better'', the purpose of this report is to understand and compare the underlying data, information systems, assumptions, and outcomes of each model.

Matson, Nance E.; Piette, Mary Ann

2005-09-05T23:59:59.000Z

70

Building Energy Code and End Use Benchmarking: Improving energy...  

NLE Websites -- All DOE Office Websites (Extended Search)

is experiencing tremendous growth, with gross square footage expected to triple by 2030. While most developed countries have put a heavy emphasis on improving energy...

71

Energy Department's Hospital Energy Alliance Helps Partner Save Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Department's Hospital Energy Alliance Helps Partner Save 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 - 2:57pm Addthis Gundersen Health System teamed up with La Crosse County to turn methane gas from the county's landfill into electricity and heat for the Gundersen Lutheran - Onalaska Campus, making it the first-known energy independent medical campus in the U.S. | Photo courtesy of Gundersen Health System. Gundersen Health System teamed up with La Crosse County to turn methane gas from the county's landfill into electricity and heat for the Gundersen Lutheran - Onalaska Campus, making it the first-known energy independent medical campus in the U.S. | Photo courtesy of Gundersen Health System.

72

Energy Department's Hospital Energy Alliance Helps Partner Save Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Department's Hospital Energy Alliance Helps Partner Save 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 - 2:57pm Addthis Gundersen Health System teamed up with La Crosse County to turn methane gas from the county's landfill into electricity and heat for the Gundersen Lutheran - Onalaska Campus, making it the first-known energy independent medical campus in the U.S. | Photo courtesy of Gundersen Health System. Gundersen Health System teamed up with La Crosse County to turn methane gas from the county's landfill into electricity and heat for the Gundersen Lutheran - Onalaska Campus, making it the first-known energy independent medical campus in the U.S. | Photo courtesy of Gundersen Health System.

73

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hospitals use 836 trillion BTUs of energy annually and have more than 2.5 times the energy intensity and carbon dioxide emissions of commercial office buildings, producing...

74

Development of whole-building energy performance models as benchmarks for retrofit projects  

Science Conference Proceedings (OSTI)

This paper presents a systematic development process of whole-building energy models as performance benchmarks for retrofit projects. Statistical regression-based models and computational performance models are being used for retrofit projects in industry ...

Omer Tugrul Karaguzel; Khee Poh Lam

2011-12-01T23:59:59.000Z

75

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

E-Print Network (OSTI)

Reducing energy costs has two components: knowledge of process energy consumption and an energy management process. This concept is summed up in energy management's 2-M rule: to manage energy, energy must be measured. After data on process energy consumption is collected, however, how is it used in developing an energy management system? There are many current methods available for tracking energy use in industrial processes. There are also methods for determining optimum energy use targets for manufacturing processes. In any energy management system, however, a major component is an energy consumption target. The target is used to measure the process's progress in reducing energy costs. This paper describes a method to develop a process energy benchmark from historical data for use as that target.

Severson, D. S.

1996-04-01T23:59:59.000Z

76

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

E-Print Network (OSTI)

Purpose This guide describes energy efficiency metrics andEnergy Use Intensity 28 Laboratory Benchmarking Guidethe energy benchmarking approach describe in this guide can

Mathew, Paul

2010-01-01T23:59:59.000Z

77

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

E-Print Network (OSTI)

Purpose This guide describes energy efficiency metrics andfor Reheat Energy Use Factor Cleanroom Benchmarking Guidethe energy benchmarking approach describe in this guide can

Mathew, Paul

2010-01-01T23:59:59.000Z

78

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

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

Pollack, R. I.

2011-01-01T23:59:59.000Z

79

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

system in the area of alternative energy sources, it wassavings. The energy saving alternatives verify the the needstudied, and alternative Stirling total energy systems were

Pollack, R. I.

2011-01-01T23:59:59.000Z

80

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

reflecting glass; and the reuse of waste energy. The heatefficiency for saving waste energy from exhaust air, doesof 1976. Eotvos Energy Waste Lorand Lorand. Tudomanyegyetem.

Pollack, R. I.

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

Researching Energy Use in Hospitals | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Commercial Buildings » Research Projects » Researching Energy Use Commercial Buildings » Research Projects » Researching Energy Use in Hospitals Researching Energy Use in Hospitals The Building Technologies Office (BTO) is monitoring hospitals to help facility and energy managers identify ways to save energy. Hospital professionals find it challenging to identify "energy hogs" in their buildings because the industry lacks actual energy use data for mechanical systems and devices. Professionals have asked for real-world information to identify cost-effective energy saving opportunities. This research ultimately will help hospitals improve energy efficiency, freeing up funding to improve healthcare services. Photo of a radiology technician assisting a patient into a 64-slice CT Scanner for diagnostic testing.

82

The New York City Local Law 84 Benchmarking Report, 2013 | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

The New York City Local Law 84 Benchmarking Report, 2013 The New York City Local Law 84 Benchmarking Report, 2013 Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources

83

The New York City Local Law 84 Benchmarking Report | ENERGY STAR Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

The New York City Local Law 84 Benchmarking Report The New York City Local Law 84 Benchmarking Report Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories

84

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

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

Pollack, R. I.

2011-01-01T23:59:59.000Z

85

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

Life-cycle Budgeting . ! Ł Energy Problems: Life- cycle Costwith their urgent energy problems: 1) to organize a united~6. With emergence of the energy problem, much more must be

Pollack, R. I.

2011-01-01T23:59:59.000Z

86

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

J.W. "Professional Energy Audit Points Way to $100,000to) I '-.J Spielvogel (Energy Audits) W I Stein Stroeh Total1974 February; 18:57-9. "Energy Audit Procedures. Ii Federal

Pollack, R. I.

2011-01-01T23:59:59.000Z

87

Job benchmarks  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks Job Benchmarks PDSF Benchmarks Select benchmark to view output of ATLAS Fragmentation Alice EMC Simulation Dayabay Analysis STAR pp500 reconstruction STAR AuAu200...

88

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

R.A. and Werden. R.G. "Energy Bank: Veterans Administra-and Industry. Energy You Can Bank On. Denver, Colorado: 1978

Pollack, R. I.

2011-01-01T23:59:59.000Z

89

Get started with the benchmarking starter kit | ENERGY STAR Buildings &  

NLE Websites -- All DOE Office Websites (Extended Search)

Get started with the benchmarking starter kit Get started with the benchmarking starter kit Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Learn the benefits Get started Use Portfolio Manager The new ENERGY STAR Portfolio Manager How Portfolio Manager helps you save The benchmarking starter kit Identify your property type Enter data into Portfolio Manager The data quality checker

90

Buildings Energy Data Book: 3.8 Hospitals and Medical Facilities  

Buildings Energy Data Book (EERE)

4 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 designed to provide a consistent baseline to compare building performance in energy-use simulations. The benchmark building had 241,263 square feet and 5 floors. Benchmark interior lighting energy = 16.36 thousand Btu/SF. Interior equipment energy consumption = 15.15 thousand Btu/SF. Ventilation includes energy used by fans and heat rejection systems.

91

The use of benchmarking at the U.S. Department of Energy`s Pantex Plant  

SciTech Connect

The U.S. Department of Energy`s (DOE`s) Pantex Plant, located in Amarillo, Texas, is responsible for the assembly, stockpile maintenance, and disassembly of nuclear weapons. Pantex is operated by the Mason and Hanger-Silas Mason Co., Inc. The following summarizes the pilot study that was designed to establish Pantex as a leader in using the continuous improvement tool of benchmarking within the DOE`s Nuclear Weapon Complex (NWC). The pilot study was conducted with Mason and Hanger-Silas Mason Co. and Pacific Northwest Laboratory (PNL) personnel during 1992.

Anderson, F.G.; Burling, J.; Moncivais, G.C.; Skelton, R. [Mason and Hanger-Silas Mason Co., Inc., Amarillo, TX (United States); Fulton, J.T.; Hostick, C.J.; Tuttle, T. [Pacific Northwest Lab., Richland, WA (United States)

1993-09-01T23:59:59.000Z

92

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

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

Mathew, Paul

2007-01-01T23:59:59.000Z

93

DOE Launches EnergySmart Hospitals to Promote Improved Energy...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

year, hospitals spent more than 5 billion on energy costs with more than 2.5 times the energy intensity and carbon dioxide emissions of commercial office buildings. Unlike many...

94

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

the performance of the solar heating and/or cooling system.the use of solar energy for heating water, heating space,including solar water hea ting, space heating. and air

Pollack, R. I.

2011-01-01T23:59:59.000Z

95

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

solar energy for heating water, heating space, cooling buildings,a solar system capable of heating and cooling the building.building load, and weather data to predict the performance of the solar heating

Pollack, R. I.

2011-01-01T23:59:59.000Z

96

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

D.H. "Hidden Energy Costs: Oil and Gas Raw Materials inoperating cost to $12.000 annually ($7.200 for oil and $electric annual cost savings over the gas or oil systems are

Pollack, R. I.

2011-01-01T23:59:59.000Z

97

Energy-efficient hospitals: DOE-assisted retrofit projects  

DOE Green Energy (OSTI)

Features of energy conservation programs at hospitals to improve energy efficiency are described. The DOE Institutional Conservation Program provides matching grants to hospitals and other public institutions to develop, implement, and manage projects to improve energy efficiency within their facilities. Information on DOE grants awarded to the hospitals, measures implemented by the hospitals for energy recovery and energy conservation, savings accomplished, project costs, estimated annual savings, and approximate payback period are discussed for the following hospitals: Saint Joseph, Towson, Maryland; Bronson Methodist, Kalamazoo, Michigan; Albany General Hospital, Albany, Oregon; Saint Vincent's Medical Center, Jacksonville, Florida; DePaul Community Health Center, Bridgeton, Missouri; Woodland Memorial Hospital, Woodland, California. (MCW)

Not Available

1981-04-01T23:59:59.000Z

98

Get started with the benchmarking starter kit | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

energy performance of your buildings is a key first step to understanding and reducing energy consumption and your carbon footprint. All buildings can assess their energy...

99

Category:Hospital | Open Energy Information  

Open Energy Info (EERE)

Hospital Hospital Jump to: navigation, search Go Back to PV Economics By Building Type Media in category "Hospital" The following 77 files are in this category, out of 77 total. SVHospital Bismarck ND Montana-Dakota Utilities Co (North Dakota).png SVHospital Bismarck ND... 68 KB SVHospital International Falls MN Northern States Power Co (Minnesota) Excel Energy.png SVHospital Internation... 84 KB SVHospital LA CA City of Los Angeles California (Utility Company).png SVHospital LA CA City ... 88 KB SVHospital Memphis TN City of Memphis Tennessee (Utility Company).png SVHospital Memphis TN ... 69 KB SVHospital Minneapolis MN Northern States Power Co (Minnesota) Excel Energy.png SVHospital Minneapolis... 85 KB SVHospital Minot ND Montana-Dakota Utilities Co (North Dakota).png

100

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

DOE Green Energy (OSTI)

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

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

2004-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Evaluating Benchmark . . .  

E-Print Network (OSTI)

To reduce the simulation time to a tractable amount or due to compilation (or other related) problems, computer architects often simulate only a subset of the benchmarks in a benchmark suite. However, if the architect chooses a subset of benchmarks that is not representative, the subsequent simulation results will, at best, be misleading or, at worst, yield incorrect conclusions. To address this problem, computer architects have recently proposed several statistically-based approaches to subset a benchmark suite. While some of these approaches are well-grounded statistically, what has not yet been thoroughly evaluated is the: 1) Absolute accuracy, 2) Relative accuracy across a range of processor and memory subsystem enhancements, and 3) Representativeness and coverage of each approach for a range of subset sizes. Specifically, this paper evaluates statistically-based subsetting approaches based on principal components analysis (PCA) and the Plackett and Burman (P&B) design, in addition to prevailing approaches such as integer vs. floating-point, core vs. memory-bound, by language, and at random. Our results show that the two statistically-based approaches, PCA and P&B, have the best absolute and relative accuracy for CPI and energy-delay product (EDP), produce subsets that are the most representative, and choose benchmark and input set pairs that are most well-distributed across the benchmark space. To achieve a 5 % absolute CPI and EDP error, across a wide range of configurations, PCA and P&B typically need about 17 benchmark and input set pairs, while the other five approaches often choose more than 30 benchmark and input set pairs.

Joshua J. Yi; Resit Sendag; Lieven Eeckhout; Ajay Joshi; David J. Lilja; Lizy K. John

2006-01-01T23:59:59.000Z

102

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

E-Print Network (OSTI)

Over the past several years, there has been growing interest among policy makers and others in the role that benchmarking industrial energy efficiency can play in climate, air, and other potential regulatory actives. For over ten years, the US EPA has supported the development of sector specific industrial energy efficiency benchmarks, known as ENERGY STAR Energy Performance Indicators (ES-EPI). To date there are ES-EPI that are either completed or under development for fourteen broad industries. Within these industries, ES-EPI account for over two dozen sub-sectors and many more detailed product types. Newer versions, or updates for three of the industries' ES-EPI have been developed in recent years. Through the process of updating this ES-EPI, the program has been able to observe changes in the energy performance of the sector as well as the range in performance found in the sector. This paper provides an overview of the approach that has been used in this research to develop this ES-EPI; summarizing the industry specific and general findings regarding the range of performance within and across industries. Observations about industrial plant benchmarking and lessons learned will be explored. In general, there are no sectors that are easily represented by a simple energy per widget benchmark; less energy intensive sectors tend to exhibit a wider range of performance than energy intensive ones; changes over time in the level and range of energy performance, i.e. industry curve shift, for ES-EPI that have been updated do not reveal any single pattern.

Boyd, G.; Tunnessen, W.

2013-01-01T23:59:59.000Z

103

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

Science Conference Proceedings (OSTI)

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.

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

2005-10-15T23:59:59.000Z

104

LBNL Report 4-10-08 Metrics and Benchmarks for Energy Efficiency in  

E-Print Network (OSTI)

, the Energy Policy Act of 2005 (EPACT 2005) requires all new federal buildings to exceed ASHRAE 90.1-2004 [1) represents a "good practice" benchmark. 2 Whole Building Metrics 2.1 Applying ASHRAE 90.1 to Labs ASHRAE ASHRAE 90.1" is inadequate for laboratories, because it leaves several key factors open to interpretation

105

Building Technologies Office: Researching Energy Use in Hospitals  

NLE Websites -- All DOE Office Websites (Extended Search)

Researching Energy Use Researching Energy Use in Hospitals to someone by E-mail Share Building Technologies Office: Researching Energy Use in Hospitals on Facebook Tweet about Building Technologies Office: Researching Energy Use in Hospitals on Twitter Bookmark Building Technologies Office: Researching Energy Use in Hospitals on Google Bookmark Building Technologies Office: Researching Energy Use in Hospitals on Delicious Rank Building Technologies Office: Researching Energy Use in Hospitals on Digg Find More places to share Building Technologies Office: Researching Energy Use in Hospitals on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification Buildings Performance Database

106

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

SciTech Connect

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

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

2008-07-30T23:59:59.000Z

107

Energy Characteristics and Energy Consumed in Large Hospital Buildings in  

Gasoline and Diesel Fuel Update (EIA)

Energy Characteristics and Energy Consumed in Large Hospital Buildings in Energy Characteristics and Energy Consumed in Large Hospital Buildings in the United States in 2007 Main Report | Methodology | FAQ | List of Tables CBECS 2007 - Release date: August 17, 2012 Hospitals consume large amounts of energy because of how they are run and the many people that use them. They are open 24 hours a day; thousands of employees, patients, and visitors occupy the buildings daily; and sophisticated heating, ventilation, and air conditioning (HVAC) systems control the temperatures and air flow. In addition, many energy intensive activities occur in these buildings: laundry, medical and lab equipment use, sterilization, computer and server use, food service, and refrigeration. The 2003 Commercial Building Energy Consumption Survey (CBECS) data showed

108

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

E-Print Network (OSTI)

The present paper aims at describing the methodology and presents some final results of a work developed in the field of building energy benchmarking applied to the buildings of the Polytechnic Institute of Leiria, based on a thorough energy performance characterization of each of its buildings, looking specifically at the typology of canteen. Developing building energy performance benchmarking systems enables the comparison of actual consumption of individual buildings against others of the same typology and against targets previously defined. The energy performance indicator was computed based on two different relevant elements, the net floor area and number of served meals. Then, the results were ranked according to the percentile rules previously established, and compared. An environmental analysis based on equivalent CO2 emissions was also performed for each building.

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

2012-01-01T23:59:59.000Z

109

Strategies for energy benchmarking in cleanrooms and laboratory-type facilities  

SciTech Connect

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

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

2000-06-01T23:59:59.000Z

110

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Benchmarks Benchmarks New Construction Energy Use Intensities (EUIs) [kBtu/ft 2 /yr] May 5, 2009 Miami Houston Phoenix Atlanta Los Angeles Las Vegas San Francisco Baltimore Albuquerque Seattle Chicago Denver Minneapolis Helena Duluth Fairbanks 2003 CBECS Avg. Climate Zone 1A 2A 2B 3A 3B 3B 3C 4A 4B 4C 5A 5B 6A 6B 7 8 Large Office 39 42 40 39 32 40 34 43 39 37 43 38 47 44 49 62 99 Medium Office 38 44 42 44 35 41 40 51 43 46 53 47 59 54 62 82 94 Small Office 46 48 49 46 36 44 38 53 47 47 61 52 70 62 77 110 80 Warehouse 15 15 15 16 14 16 14 18 17 16 21 20 26 23 27 43 48 Stand-alone Retail 48 46 46 41 34 41 35 45 42 40 48 45 54 51 61 88 70 Strip Mall 46 44 44 44 35 43 38 48 45 42 51 47 60 55 66 99 110 Primary School 65 71 69 69 57 65 71 78 68 65 85 74 99 88 107 147 68 Secondary School 69 74 74 73 50 68 67 87 72 72 99 81 117 101 128 181 80 Supermarket 161 171 161 175 155 162 171 191 174 186 206 188 224 209 240

111

Analysis and Practices of Energy Benchmarking for Industry from...  

NLE Websites -- All DOE Office Websites (Extended Search)

News Latest News Videos Community Relations Past Projects Rebuilding Together Energy Teams Events Past Events For The Media Seminars Past Seminars Speakers Distinguished...

112

Tools for tracking and benchmarking facility energy performance...  

NLE Websites -- All DOE Office Websites (Extended Search)

Juice Processing Plants EPI Pharmaceutical Manufacturing EPI Pulp Mill EPI Wet Corn Milling EPI Commercial buildings EPA's ENERGY STAR Portfolio Manager tool helps you measure...

113

Cleanroom energy benchmarking in high-tech and biotech industries  

E-Print Network (OSTI)

in total system energy use. Cooling Tower CW Pumps CHW Pumpscooling system using cooling tower water for sensible andcooling. • Improve cooling tower efficiency by operating all

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

2001-01-01T23:59:59.000Z

114

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

P. “Saving Energy in Labs,” ASHRAE Journal, February 2004.C. B. Dorgan, C. E. Dorgan. ASHRAE Laboratory Design Guide,Low-Pressure Drop Design,” ASHRAE Journal, August, 2002. 11.

Mathew, Paul

2007-01-01T23:59:59.000Z

115

Metrics and Benchmarks for Energy Efficiency in Laboratories  

E-Print Network (OSTI)

Saving Energy in Labs,” ASHRAE Journal, February 2004. pp35-Dorgan, C. E. Dorgan [2001]. ASHRAE Laboratory Design Guide,Administration 10. ANSI/ ASHRAE Standard 62.1: Ventilation

Mathew, Paul; Rumsey Engineers

2008-01-01T23:59:59.000Z

116

Electricity Energy Storage Technology Options 2012 System Cost Benchmarking  

Science Conference Proceedings (OSTI)

This report provides an update on the current capital and lifecycle costs estimates of electric energy storage options for a variety of grid and end-user applications. Data presented in this report update 2010 data provided in EPRI Technical Report 1020676. The goal of this research was to develop objective and consistent installed costs and operational and maintenance costs for a set of selected energy storage systems in the identified applications. Specific objectives included development of ...

2012-12-10T23:59:59.000Z

117

MC21 analysis of the nuclear energy agency Monte Carlo performance benchmark problem  

SciTech Connect

Due to the steadily decreasing cost and wider availability of large scale computing platforms, there is growing interest in the prospects for the use of Monte Carlo for reactor design calculations that are currently performed using few-group diffusion theory or other low-order methods. To facilitate the monitoring of the progress being made toward the goal of practical full-core reactor design calculations using Monte Carlo, a performance benchmark has been developed and made available through the Nuclear Energy Agency. A first analysis of this benchmark using the MC21 Monte Carlo code was reported on in 2010, and several practical difficulties were highlighted. In this paper, a newer version of MC21 that addresses some of these difficulties has been applied to the benchmark. In particular, the confidence-interval-determination method has been improved to eliminate source correlation bias, and a fission-source-weighting method has been implemented to provide a more uniform distribution of statistical uncertainties. In addition, the Forward-Weighted, Consistent-Adjoint-Driven Importance Sampling methodology has been applied to the benchmark problem. Results of several analyses using these methods are presented, as well as results from a very large calculation with statistical uncertainties that approach what is needed for design applications. (authors)

Kelly, D. J.; Sutton, T. M. [Knolls Atomic Power Laboratory, Bechtel Marine Propulsion Corporation, P. O. Box 1072, Schenectady, NY 12301-1072 (United States); Wilson, S. C. [Bertis Atomic Power Laboratory, Bechtel Marine Propulsion Corporation, P. O. Box 79, West Mifflin, PA 15122-0079 (United States)

2012-07-01T23:59:59.000Z

118

Action-Oriented Benchmarking: Concepts and Tools  

E-Print Network (OSTI)

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

Mills, Evan; California Energy Commission

2008-01-01T23:59:59.000Z

119

Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar  

E-Print Network (OSTI)

Metrics and Benchmarks for Energy Efficiency inmodel to generate a benchmark energy intensity normalizedlimited efforts thus far to benchmark laboratory facilities

Mathew, Paul A.

2010-01-01T23:59:59.000Z

120

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

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Advanced benchmarking for complex building types: laboratories as an exemplar.  

E-Print Network (OSTI)

benchmark against which energy use for a given building canbuilding systems and resulting energy use. The Labs21 Benchmark

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

2010-01-01T23:59:59.000Z

122

Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar  

E-Print Network (OSTI)

benchmark against which energy use for a given building canbuilding systems and resulting energy use. The Labs21 Benchmark

Mathew, Paul A.

2010-01-01T23:59:59.000Z

123

Development and benchmarking of higher energy neutron transport data libraries  

Science Conference Proceedings (OSTI)

Neutron cross-section evaluations covering the energy range from 10/sup /minus/11/ to 100 MeV have been prepared for several materials. The principal method used to generate this data base has employed statistical-preequilibrium nuclear models, sophisticated phase shift analyses, and R-matrix techniques. The library takes advantage of formats developed for Version 6 of the Evaluated Nuclear Data File, ENDF. Methods to efficiently utilize the ENDF/B-VI representation of this library in the MCNP Monte Carlo code have been developed. MCNP results using the new library have been compared with calculated results using codes or data based upon intranuclear cascade models. 7 refs., 8 figs.

Arthur, E.D.; Young, P.G.; Perry, R.T.; Madland, D.G.; MacFarlane, R.E.; Little, R.C.; Bozoian, M.; LaBauve, R.J.

1988-01-01T23:59:59.000Z

124

Benchmarks used  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks used 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 Algorithm Concurrency Languages GTC Fusion PIC, finite difference 2048 f90 IMPACT-T Accelerator Physics PIC, FFT 1024 f90 MILC Materials Science Conjugate gradient, sparse matrix, FFT 1024 c, assembly NPB 3.3.1 MPI Parallel Benchmarks The following NPB 3.3 MPI 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

125

Benchmarks used  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks used 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 Algorithm Concurrency Languages GTC Fusion PIC, finite difference 2048 f90 IMPACT-T Accelerator Physics PIC, FFT 1024 f90 MILC Materials Science Conjugate gradient, sparse matrix, FFT 1024 c, assembly NPB 3.3.1 MPI Parallel Benchmarks The following NPB 3.3 MPI 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

126

New York-Presbyterian Hospital's Corporate Energy Policy & Guidelines...  

NLE Websites -- All DOE Office Websites (Extended Search)

New York-Presbyterian Hospital's Corporate Energy Policy & Guidelines Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing...

127

Advanced benchmarking for complex building types: laboratories as an exemplar.  

E-Print Network (OSTI)

Metrics and Benchmarks for Energy Efficiency inmetrics. However, benchmarks generated from simulations areetc. Whole-building benchmarks are limited in their

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

2010-01-01T23:59:59.000Z

128

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

E-Print Network (OSTI)

Purpose This guide describes energy efficiency metrics andthe energy benchmarking approach describe in this guide candesigners and energy managers. This guide also builds on

Mathew, Paul

2010-01-01T23:59:59.000Z

129

Action-Oriented Benchmarking:  

NLE Websites -- All DOE Office Websites (Extended Search)

Feb-2008 submitted to Energy Engineering Feb-2008 submitted to Energy Engineering Action-Oriented Benchmarking: Concepts and Tools Evan Mills, Paul Mathew & Mary Ann Piette, Lawrence Berkeley National Laboratory Norman Bourassa & Martha Brook, California Energy Commission ABSTRACT Most energy benchmarking tools provide static feedback on how one building compares to a larger set of loosely similar buildings, without providing information at the end-use level or on what can be done to reduce consumption, cost, or emissions. In this article-Part 1 of a two-part series-we describe an "action-oriented benchmarking" approach, which extends whole-building energy benchmarking to include analysis of system and component energy use metrics and features. Action-oriented benchmarking thereby allows users to generate more meaningful

130

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

SciTech Connect

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.

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

2009-04-01T23:59:59.000Z

131

Potential geothermal energy applications for Idaho Elks Rehabilitation Hospital  

SciTech Connect

Several potential applications of geothermal energy for the Idaho Elks Rehabilitation Hospital are outlined. A brief background on the resource and distribution system, is provided; which hospital heating systems should be considered for potential geothermal retrofit is discussed; and technical and economic feasibility are addressed.

Austin, J.C.

1981-11-01T23:59:59.000Z

132

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

E-Print Network (OSTI)

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

133

BENCHMARKING EMERGING PIPELINE INSPECTION TECHNOLOGIES  

NLE Websites -- All DOE Office Websites (Extended Search)

FINAL REPORT Benchmarking Emerging Pipeline Inspection Technologies To Department of Energy National Energy Technology Laboratory (NETL) DE-AP26-04NT40361 and Department of...

134

Strategies for energy benchmarking in cleanrooms and laboratory-type facilities  

E-Print Network (OSTI)

for Environmental Research (CEDR) examined methods forbe operated efficiently. CEDR constructed a benchmark toolperformance metrics. The CEDR tool has been developed with

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

2000-01-01T23:59:59.000Z

135

Archive Reference Buildings by Building Type: Hospital | Department of  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Hospital Hospital Archive Reference Buildings by Building Type: Hospital Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available. You can download ZIP files that contain the following: An EnergyPlus software input file (.idf) An html file showing the results from the EnergyPlus simulation (.html) A spreadsheet that summarizes the inputs and results for each location (.xls) The EnergyPlus TMY2 weather file (.epw). benchmark-v1.0_3.0-hospital.zip benchmark-v1.1_3.1-hospital.zip benchmark-new-v1.2_4.0-hospital.zip More Documents & Publications Archive Reference Buildings by Building Type: Large office

136

Department of Energy Announces the Launch of the Hospital Energy Alliance  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

the Launch of the Hospital 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 DOE and national healthcare sector leaders to promote the integration of advanced energy efficiency and renewable technologies in hospital design, construction, retrofit, operations, and maintenance. DOE's Richard F. Moorer joined American Hospital Association President and Chief Executive Officer Richard J. Umbdenstock and other national industry

137

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

Science Conference Proceedings (OSTI)

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

Saum-Manning,L.

2008-07-13T23:59:59.000Z

138

Story County Hospital Wind Farm | Open Energy Information  

Open Energy Info (EERE)

Wind Farm Wind Farm Jump to: navigation, search Name Story County Hospital Wind Farm Facility Story County Hospital Sector Wind energy Facility Type Community Wind Facility Status In Service Owner Story County Hospital Developer Story County Hospital Energy Purchaser Alliant/IES Utilities Location NV - Story County IA Coordinates 42.016808°, -93.453238° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":42.016808,"lon":-93.453238,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

139

Benchmarks used  

NLE Websites -- All DOE Office Websites (Extended Search)

described below, different optimization options for the different compilers on Edison. The compilers are also compared against one another on the benchmarks. NERSC6...

140

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

Science Conference Proceedings (OSTI)

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.

Banks, Robert S.; Rainer, David

1980-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Benchmark Monitoring: Retired Systems  

NLE Websites -- All DOE Office Websites (Extended Search)

Completed Batch Jobs Completed Parallel Jobs Usage Reports Hopper Benchmark Monitoring Edison Benchmark Monitoring Carver Benchmark Monitoring Benchmark Monitoring: Retired Systems...

142

Large Hospital 50% Energy Savings: Technical Support Document  

NLE Websites -- All DOE Office Websites (Extended Search)

867 867 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 NREL/TP-550-47867 September 2010 Large Hospital 50% Energy Savings: Technical Support Document Eric Bonnema, Daniel Studer, Andrew Parker, Shanti Pless, and Paul Torcellini Prepared under Task No. BEC7.1309 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government.

143

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

SciTech Connect

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.

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

2009-07-13T23:59:59.000Z

144

Low-Energy Supersymmetry Breaking from String Flux Compactifications: Benchmark Scenarios  

E-Print Network (OSTI)

Soft supersymmetry breaking terms were recently derived for type IIB string flux compactifications with all moduli stabilised. Depending on the choice of the discrete input parameters of the compactification such as fluxes and ranks of hidden gauge groups, the string scale was found to have any value between the TeV and GUT scales. We study the phenomenological implications of these compactifications at low energy. Three realistic scenarios can be identified depending on whether the Standard Model lies on D3 or D7 branes and on the value of the string scale. For the MSSM on D7 branes and the string scale between 10^12 GeV and 10^17 GeV we find that the LSP is a neutralino, while for lower scales it is the stop. At the GUT scale the results of the fluxed MSSM are reproduced, but now with all moduli stabilised. For the MSSM on D3 branes we identify two realistic scenarios. The first one corresponds to an intermediate string scale version of split supersymmetry. The second is a stringy mSUGRA scenario. This requires tuning of the flux parameters to obtain the GUT scale. Phenomenological constraints from dark matter, (g-2)_mu and BR(b->s gamma) are considered for the three scenarios. We provide benchmark points with the MSSM spectrum, making the models suitable for a detailed phenomenological analysis.

Benjamin C. Allanach; Fernando Quevedo; Kerim Suruliz

2005-12-06T23:59:59.000Z

145

Quantum computing applied to calculations of molecular energies: CH2 benchmark  

E-Print Network (OSTI)

Quantum computers are appealing for their ability to solve some tasks much faster than their classical counterparts. It was shown in [Aspuru-Guzik et al., Science 309, 1704 (2005)] that they, if available, would be able to perform the full configuration interaction (FCI) energy calculations with a polynomial scaling. This is in contrast to conventional computers where FCI scales exponentially. We have developed a code for simulation of quantum computers and implemented our version of the quantum full configuration interaction algorithm. We provide a detailed description of this algorithm and the results of the assessment of its performance on the four lowest lying electronic states of CH2 molecule. This molecule was chosen as a benchmark, since its two lowest lying 1A1 states exhibit a multireference character at the equilibrium geometry. It has been shown that with a suitably chosen initial state of the quantum register, one is able to achieve the probability amplification regime of the iterative phase estimation algorithm even in this case.

Libor Veis; Ji?í Pittner

2010-08-20T23:59:59.000Z

146

Large Hospital 50% Energy Savings: Technical Support Document  

SciTech Connect

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.

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

2010-09-01T23:59:59.000Z

147

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

E-Print Network (OSTI)

use (Eq. (11), energy intensity indicator (Eq. (12), PES andEnergy Intensity Indicator .2009). 4.3.3 Energy Intensity Indicator Energy use in

Xu, Tengfang

2013-01-01T23:59:59.000Z

148

Hospital laundry standards and energy conservation: a program plan  

SciTech Connect

A program plan describing required research and experimental plans for establishing a proposed revision of hospital laundry standards is presented. An extension of the literature search done by Hittman and Associates was done to see whether the quality of the finished laundry could be maintained under revised standards. Consideration was given to stain removal, whiteness, and sanitation. An extensive review of published literature on standards is included. There is room for energy conservation measures in the hospital laundry, but it is noted that energy conservation measures must be accompanied by care and practicality in their implementation.

Battles, D.R.; Vesley, D.; Banks, R.S.

1980-01-01T23:59:59.000Z

149

Energy recovery solves hospital's problem  

SciTech Connect

A heat recovery system for a hospital heating-ventilation-air conditioning installation is described. The system design allows for recovery of energy in the laundry exhaust air, distribution of supply air to the patient care wing, easy access for servicing, and economic feasibility. A rotary energy recovery wheel was selected as the energy recovery device because of its performance and economical advantages. The unit work continuously without difficulty during the severe winter of 1976. (PMA)

1977-08-01T23:59:59.000Z

150

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

E-Print Network (OSTI)

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

Xu, Tengfang

2013-01-01T23:59:59.000Z

151

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

E-Print Network (OSTI)

sector typically uses thermal energy (mainly natural gas)and electricity. Thermal energy (e.g. , natural gas) is usedthat mainly uses thermal energy, representing largest

Xu, Tengfang

2013-01-01T23:59:59.000Z

152

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

E-Print Network (OSTI)

i PREFACE The California Energy Commission’s Public Interestdairy/dairy_data.html California Energy Commission. 2004a.Code. Sacramento, California: California Energy Commission.

Xu, Tengfang

2013-01-01T23:59:59.000Z

153

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

E-Print Network (OSTI)

CPUC_GHG_Model.html> Energy Technology Support Unit (ETSU).1998. Reducing Energy costs in dairies- a guide toimproved profitability. Energy Efficiency Best Practice

Xu, Tengfang

2013-01-01T23:59:59.000Z

154

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

DOE Green Energy (OSTI)

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

Christian, J.

2011-01-01T23:59:59.000Z

155

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

E-Print Network (OSTI)

level 4.4.3.1 National Energy Consumption per Raw-milkor final energy consumption on national or plant levels, andConsumption, or Energy Use Intensity (EUI) Greenhouse Gas Gigawatt Hours Lawrence Berkeley National

Xu, Tengfang

2013-01-01T23:59:59.000Z

156

Regression benchmarking with simple middleware benchmarks  

E-Print Network (OSTI)

The paper introduces the concept of regression benchmarking as a variant of regression testing focused at detecting performance regressions. Applying the regression benchmarking in the area of middleware development, the paper explains how regression benchmarking differs from middleware benchmarking in general. On a real-world example of TAO, the paper shows why the existing benchmarks do not give results sufficient for regression benchmarking, and proposes techniques for detecting performance regressions using simple benchmarks. 1.

Lubomír Bulej; Tomáš Kalibera; Petr T?ma

2004-01-01T23:59:59.000Z

157

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

SciTech Connect

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).

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

2013-06-01T23:59:59.000Z

158

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

E-Print Network (OSTI)

Building Site Energy Intensity (BTU/sf-yr). A Performance Benchmarkand benchmarks that can be used to track the performance of and identify potential opportunities to reduce energy use in laboratory buildings.

Mathew, Paul

2010-01-01T23:59:59.000Z

159

Development of a Computer-based Benchmarking and Analytical Tool...  

NLE Websites -- All DOE Office Websites (Extended Search)

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

160

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

E-Print Network (OSTI)

energy usage in existing markets and cheese-making plants The compiled informationenergy policy options (such as strategies, incentives, and programs) can be established based upon new energy information, dairy markets,

Xu, Tengfang

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

The NAS Parallel Benchmarks  

E-Print Network (OSTI)

Weeratunga, “The NAS Parallel Benchmarks,” Intl. Journal ofD. Simon, “NAS Par- allel Benchmark Results,” Proceedings ofD. Simon, “NAS Par- allel Benchmark Results,” IEEE Parallel

Bailey, David H.

2010-01-01T23:59:59.000Z

162

NERSC-6 Benchmarks  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks NERSC-6 Benchmarks The NERSC-6 application benchmarks were used in the acquisition process that resulted in the NERSC Cray XE6 ("Hopper") system. A technical report...

163

Edison Benchmark Monitoring  

NLE Websites -- All DOE Office Websites (Extended Search)

Edison Benchmark Monitoring Benchmark Results Select Benchmark CAM GAMESS GTC IMPACT-T MAESTRO MILC PARATEC Submit Last edited: 2013-06-25 22:45:11...

164

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

E-Print Network (OSTI)

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

Kissock, Kelly

165

Vehicle Technologies Office: Benchmarking  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking 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 similar work done elsewhere in the world. Through laboratory testing, researchers can compare vehicles and components to validate models, support technical target-setting, and provide data to help guide technology development tasks. Benchmarking activities fall into two primary areas: Vehicle and component testing, in which researchers test and analyze emerging technologies obtained from sources throughout the world. The results are used to continually assess program efforts. Model validation, in which researchers use test data to validate the accuracy of vehicle and component computer models including: overall measures such as fuel economy, state-of-charge energy storage across the driving cycle, and transient component behavior, such as fuel rate and torque.

166

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

E-Print Network (OSTI)

Pharmaceutical Industry: An ENERGY STAR Guide for Energy andPharmaceutical Industry: An ENERGY STAR Guide for Energy andAn ENERGY STAR ® Guide for Energy and Plant Managers.

Galitsky, Christina

2009-01-01T23:59:59.000Z

167

Buildings Energy Data Book: 3.8 Hospitals and Medical Facilities  

Buildings Energy Data Book (EERE)

6 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 baseline to compare building performance in energy-use simulations. The benchmark building had 40,932 square feet and 3 floors. Benchmark interior lighting energy = 13.02 thousand Btu/SF. Interior equipment energy consumption = 46.01 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

168

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

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

169

Energy Characteristics and Energy Consumed in Large Hospital ...  

U.S. Energy Information Administration (EIA)

Energy management and conservation reported in high percentages. ... nearly all had regular maintenance and scheduled repair for the HVAC system.

170

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

E-Print Network (OSTI)

Code. Sacramento, California: California Energy Commission.California Energy Commission. 2004b. NaturalCode. Sacramento, California: California Energy Commission.

Xu, Tengfang

2013-01-01T23:59:59.000Z

171

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

E-Print Network (OSTI)

Energy Intensity Indicator .2009). 4.3.3 Energy Intensity Indicator Energy use inwe established an energy intensity indicator (EII) that

Xu, Tengfang

2013-01-01T23:59:59.000Z

172

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

SciTech Connect

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

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

2007-07-02T23:59:59.000Z

173

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

SciTech Connect

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

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

2007-07-02T23:59:59.000Z

174

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

SciTech Connect

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 BuoysĂ?Â?Ă?Â?Ă?Â?Ă?Âť that are realistic, lab-scale floating power converters. The array of Buoys will be subjected to realistic, directional wave forcing (1:33 scale) that will approximate the expected conditions (waves and water depths) to be found off the Central Oregon Coast. Experimental observations will include comprehensive in-situ wave and current measurements as well as a suite of novel optical measurements. These new optical capabilities will include imaging of the 3D wave scattering using a binocular stereo camera system, as well as 3D device motion tracking using a newly acquired LED system. These observing systems will capture the 3D motion history of individual Buoys as well as resolve the 3D scattered wave field; thus resolving the constructive and destructive wave interference patterns produced by the array at high resolution. These data combined with the device motion tracking will provide necessary information for array design in order to balance array performance with the mitigation of far-field impacts. As a benchmark data set, these data will be an important resource for testing of models for wave/buoy interactions, buoy performance, and far-field effects on wave and current patterns due to the presence of arrays. Under the proposed project we will initiate high-resolution (fine scale, very near-field) fluid/structure interaction simulations of buoy motions, as well as array-scale, phase-resolving wave scattering simulations. These modeling efforts will utilize state-of-the-art research quality models, which have not yet been brought to bear on this complex problem of large array wave/structure interaction problem.

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

2013-01-26T23:59:59.000Z

175

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

E-Print Network (OSTI)

and MAIN. 1993. Energy Technology in the Cement IndustrialNo. 16000393, September 9. Energy Technology Support Unit (of China (ITIBMIC). Energy Technology Support Unit (ETSU).

Galitsky, Christina

2009-01-01T23:59:59.000Z

176

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

E-Print Network (OSTI)

work sponsored by the California Energy Commission. It doesor disapproved by the California Energy Commission norhas the California Energy Commission passed upon the

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

177

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

E-Print Network (OSTI)

Commercial Building Energy Consumption Survey – Surveytheir building’s energy consumption to that of similarfor evaluating building energy consumption and can lead to

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

178

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

E-Print Network (OSTI)

Defaults and Whole Building Energy Use Intensity andand Renewable Energy, Building Technologies Program of thesystems and equipment, and building energy consumption. The

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

179

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

E-Print Network (OSTI)

This practice wastes substantial energy and should never beHeat recovery from waste-to-energy boilers increases theway to recover energy from waste. The carbon dioxide

Galitsky, Christina

2009-01-01T23:59:59.000Z

180

Microsoft Word - HospEnergyMetrics&Guidance_Draft_2009_0908.doc  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Energy Benchmarking Guidance - Version 1.0 08-Sep-2009 Hospital Energy Benchmarking Guidance - Version 1.0 08-Sep-2009 BC Singer et al., Lawrence Berkeley National Lab Hospital Energy Benchmarking Guidance - Version 1.0 Brett C. Singer Lawrence Berkeley National Laboratory, Berkeley CA Contributing Developers: Paul Mathew, Steve Greenberg, Bill Tschudi, Dale Sartor (LBNL) Susan Strom, Walter Vernon: Mazzetti Nash Lipsey Burch (San Francisco, CA) Abstract 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

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Strategies for energy benchmarking in cleanrooms and laboratory-type facilities  

E-Print Network (OSTI)

and Renewable Energy, Office of Building Technology, State andand Renewable Energy, Office of Building Technology, State and

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

2000-01-01T23:59:59.000Z

182

Computational evaluation of two reactor benchmark problems  

E-Print Network (OSTI)

A neutronic evaluation of two reactor benchmark problems was performed. The benchmark problems describe typical PWR uranium and plutonium (mixed oxide) fueled lattices. WIMSd4m, a neutron transport lattice code, was used to evaluate multigroup macroscopic cross sections for various pincell models in each benchmark problem. DEF3D, a multigroup multidimensional diffusion code, was used to evaluate the uranium-fueled lattice benchmark problem of the American Nuclear Society. TWODANT, a multigroup, two-dimensional transport code, was used to evaluate the mixed oxide lattice benchmark problem from the Nuclear Energy Agency. Both benchmark problems yielded results consistent with preliminary results submitted by other participants in the benchmarking exercises. Some suggestions are made to improve future benchmark evaluations.

Cowan, James Anthony

1998-01-01T23:59:59.000Z

183

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

E-Print Network (OSTI)

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

Xu, Tengfang

2013-01-01T23:59:59.000Z

184

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

E-Print Network (OSTI)

sector typically uses thermal energy (mainly natural gas)and electricity. Thermal energy (e.g. , natural gas) is usedtypically uses thermal energy (mainly natural gas) and

Xu, Tengfang

2013-01-01T23:59:59.000Z

185

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Oregon Hospital Heats Up with a Biomass Boiler Oregon 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 -- saving the hospital about $100,000 a year in heating costs. | Photo courtesy of the Oregon Department of Energy. Julie McAlpin Communications Liaison, State Energy Program Why biomass? Wood was the first energy source used and man's main fuel source until the Industrial Revolution.

186

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

Science Conference Proceedings (OSTI)

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

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

2011-04-20T23:59:59.000Z

187

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

E-Print Network (OSTI)

A-11 Hotel Energy Star Ratings (n=A-12 A-7 Hotel Energy Star Ratings (n=Star Rating Figure A-7. Hotel Energy Star Ratings (n=18) A-

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

188

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

E-Print Network (OSTI)

usage. General recommendations for improving overall data center energy efficiency include improving the lightingusage. General recommendations for improving overall data center energy efficiency include improving the lighting

Xu, Tengfang; Greenberg, Steve

2007-01-01T23:59:59.000Z

189

JouleSort: A Balanced Energy-Efficiency Benchmark Suzanne Rivoire  

E-Print Network (OSTI)

, an important purpose of JouleSort is to chart past trends and gain insight into future trends in energy ef for price-performance (i.e. PennySort winners) are compar- atively more energy-efficient, and their energy information about the relative improvements in performance, price-performance, and energy efficiency

Kozyrakis, Christos

190

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

E-Print Network (OSTI)

level 4.4.3.1 National Energy Consumption per Raw-milkor final energy consumption on national or plant levels, andConsumption, or Energy Use Intensity (EUI) Greenhouse Gas Gigawatt Hours Lawrence Berkeley National

Xu, Tengfang

2013-01-01T23:59:59.000Z

191

I/O Benchmarks  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks IO Benchmarks Transfer rates measured 4 times per day for the past week on all of the eliza file systems are shown below. For more details see IO Benchmarking Details....

192

NERSC-8 / Trinity Benchmarks  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarks NERSC-8 Trinity Benchmarks These benchmark programs are for use as part of the joint NERSC ACES NERSC-8Trinity system procurement. There are two basic kinds of...

193

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

E-Print Network (OSTI)

Energy Star Ratings Using Building Occupancy CharacteristicsDefaults and Whole Building Energy Use Intensity andCalifornia CEUS Office Buildings (n=109) C-6 % of Cal-Arch

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

194

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

E-Print Network (OSTI)

Energy, Emissions, Savings Potential and Policy Actions, Fraunhofer Institute for Systems Technology and Innovation, Karlsruhe, Germany. Centre for the Analysis

Galitsky, Christina

2009-01-01T23:59:59.000Z

195

Energy Efficiency Certificate Trading and the NSW Greenhouse Benchmarks scheme Draft ERGO discussion paper 0301  

E-Print Network (OSTI)

End-use energy efficiency is a measure of the level of end-use energy services (eg heating, cooling, lighting or motive power) that can be delivered per unit of energy ‘consumed’. Energy services and hence efficiency can be difficult to define. Nevertheless, improvements in end-use energy efficiency will play a vital role in any effective and economically efficient response to climate change. Policy intervention is required because many energy efficiency benefits are market externalities, and because there are widespread market failures in end-use decision making – many energy users fail to undertake even cost-effective efficiency options. Unfortunately, there are many complexities and challenges for such policy making. In particular, the ability to improve energy efficiency, and the costs and benefits from doing so, are often spread between many players including infrastructure providers, equipment manufacturers, service providers and owners as well as the actual energy users. There is growing worldwide interest in market-based policy mechanisms. It is argued that they can offer a ‘one size fits all ’ approach with economic efficiency advantages over regulation. For example, Energy efficiency Certificate Trading (EECT) combines certificates (typically representing one MWh of ‘energy savings ’ from increased efficiency) with market based trading between parties having ‘obligations ’ and other parties creating ‘energy savings’. Italy and the UK have introduced limited

Iain Macgill; Hugh Outhred

2003-01-01T23:59:59.000Z

196

ILAMB Goals What is a Benchmark? ILAMB Meeting International Land Model Benchmarking (ILAMB) Project  

E-Print Network (OSTI)

Develop benchmarks for land model performance, with a focus on carbon cycle, ecosystem, surface energy, and hydrological processes. The benchmarks should be designed and accepted by the community. Apply the benchmarks to global models. Support the design and development of a new, open-source, benchmarking software system for either diagnostic or model intercomparison purposes. Strengthen linkages between experimental, monitoring, remote sensing, and climate modeling communities in the design of new model tests and new measurement programs.

Forrest M. Hoffman; James T. R; Forrest M. Hoffman; James T. R; Forrest M. Hoffman; James T. R; Forrest M. Hoffman; James T. R; Forrest M. Hoffman; James T. R

2011-01-01T23:59:59.000Z

197

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

E-Print Network (OSTI)

energy usage in existing markets and cheese-making plants The compiled informationenergy policy options (such as strategies, incentives, and programs) can be established based upon new energy information, dairy markets,

Xu, Tengfang

2013-01-01T23:59:59.000Z

198

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

E-Print Network (OSTI)

7 CEC California Climate Zones Mapped toFour Main Climate Zones ..10 Energy Starbuildings in the same climate zone Web-based Portfolio

Matson, Nance E.; Piette, Mary Ann

2005-01-01T23:59:59.000Z

199

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

E-Print Network (OSTI)

Saving Energy with Daylighting Systems. Maxi Brochure 14 (an efficient daylighting system may provide evenly dispersedrefitted with daylighting systems. Various daylighting

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

2005-01-01T23:59:59.000Z

200

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

E-Print Network (OSTI)

Concepts of Waste Heat Recovery in Cement Plants EnergyConcepts of Waste Heat Recovery in Cement Plants Energyor Photo: Waste heat recovery at cement plant, image taken

Galitsky, Christina

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

The New York City Local Law 84 Benchmarking Report | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

ordinance, which requires all large buildings in the city to measure and disclose energy consumption annually. This report is the first analysis of New York City...

202

Development of a California commercial building benchmarking database  

E-Print Network (OSTI)

benchmarks while control companies and utilities can provide direct tracking of energy use and combine data from multiple buildings.

Kinney, Satkartar; Piette, Mary Ann

2002-01-01T23:59:59.000Z

203

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

SciTech Connect

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

2011-02-01T23:59:59.000Z

204

Benchmarking data warehouses  

Science Conference Proceedings (OSTI)

Database benchmarks can either help users in comparing the performances of different systems, or help engineers in testing the effect of various design choices. In the field of data warehouses, the Transaction Processing Performance Council's standard ... Keywords: DWEB, OLAP, benchmarking, data mining, data warehouse design, data warehouse engineering benchmarks, data warehouses, database benchmarks, online analytical processing, optimisation techniques, performance evaluation

Jerome Darmont; Fadila Bentayeb; Omar Boussaid

2007-03-01T23:59:59.000Z

205

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

Science Conference Proceedings (OSTI)

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

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

2011-01-01T23:59:59.000Z

206

Asymptotics of the dispersion interaction: analytic benchmarks for van der Waals energy functionals  

E-Print Network (OSTI)

We show that the usual sum of $R^{-6}$ contributions from elements separated by distance $R$ can give \\emph{qualitatively} wrong results for the electromagnetically non-retarded van der Waals interaction between non-overlapping bodies. This occurs for anisotropic nanostructures that have a zero electronic energy gap, such as nanowires, conducting nanotubes, and nano-layered systems including metals and graphene planes. In all these cases our analytic microscopic calculations give an interaction falling off with a power of separation different from the conventional value. We discuss implications for van der Waals energy functionals. The new nanotube interaction might be directly measurable at sub-micron separations.

John F. Dobson; Angela White; Angel Rubio

2005-07-07T23:59:59.000Z

207

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

SciTech Connect

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

Xu, Tengfang; Greenberg, Steve

2007-07-01T23:59:59.000Z

208

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

NLE Websites -- All DOE Office Websites (Extended Search)

Cleanrooms: Metrics, Benchmarks, Actions Title Self-benchmarking Guide for Cleanrooms: Metrics, Benchmarks, Actions Publication Type Report LBNL Report Number LBNL-3392E Year of...

209

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

E-Print Network (OSTI)

data items. Figure 9. Benchmarks for total system pressuredrop. The benchmarks in figure are basedcomponent pressure drop benchmarks shown in figure below, as

Mathew, Paul

2010-01-01T23:59:59.000Z

210

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

E-Print Network (OSTI)

for Cleanrooms: Metrics, Benchmarks, Actions Paul Mathew,efficiency metrics and benchmarks that can be used to trackalso use the metrics and benchmarks described in this guide

Mathew, Paul

2010-01-01T23:59:59.000Z

211

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

E-Print Network (OSTI)

for Data Centers: Metrics, Benchmarks, Actions Paul Mathew,efficiency metrics and benchmarks that can be used to trackalso use the metrics and benchmarks described in this guide

Mathew, Paul

2010-01-01T23:59:59.000Z

212

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

NLE Websites -- All DOE Office Websites (Extended Search)

Data Centers: Metrics, Benchmarks, Actions Title Self-benchmarking Guide for Data Centers: Metrics, Benchmarks, Actions Publication Type Report LBNL Report Number LBNL-3393E Year...

213

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

NLE Websites -- All DOE Office Websites (Extended Search)

Laboratory Buildings: Metrics, Benchmarks, Actions Title Self-benchmarking Guide for Laboratory Buildings: Metrics, Benchmarks, Actions Publication Type Report LBNL Report Number...

214

Nonuniversality of the dispersion interaction: analytic benchmarks for van der Waals energy functionals  

E-Print Network (OSTI)

We highlight the non-universality of the asymptotic behavior of dispersion forces, such that a sum of inverse sixth power contributions is often inadequate. We analytically evaluate the cross-correlation energy Ec between two pi-conjugated layers separated by a large distance D within the electromagnetically non-retarded Random Phase Approximation, via a tight-binding model. For two perfect semimetallic graphene sheets at T=0K we find Ec = C D^{-3}, in contrast to the "insulating" D^{-4} dependence predicted by currently accepted approximations. We also treat the case where one graphene layer is replaced by a thin metal, a model relevant to the exfoliation of graphite. Our general considerations also apply to nanotubes, nanowires and layered metals.

John F. Dobson; Angel Rubio

2005-02-17T23:59:59.000Z

215

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

SciTech Connect

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

Xu, Tengfang; Greenberg, Steve

2007-08-01T23:59:59.000Z

216

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

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Benchmarks Benchmarks New Construction Summary of Changes from v1.1_3.1 to v1.2_4.0 October 30, 2009 Applicable Model(s) Applicable Model Abbreviated Name(s) Change All models (all) Run with EnergyPlus v4.0 instead of 3.1. All models (all) Updated header text to reflect changes. All models (all) Exterior lighting changed from 5.0 W/ft to 0.2 W/ft 2 . All models (all) Added 30 W/ft of exterior lighting for primary entrance doors and 20W/ft for other doors. All Models (all) Infiltration input as flow per exterior wall area, except for attics which have 1.0 ACH infiltration. All Models (all) Many internal gains input as watts/area instead of just total watts, in order to identify

217

Factory Flow Benchmarking Report  

E-Print Network (OSTI)

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

Shields, Thomas J.

218

DOE Commercial Building Benchmark Models: Preprint  

SciTech Connect

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

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

2008-07-01T23:59:59.000Z

219

Buildings Energy Data Book: 3.8 Hospitals and Medical Facilities  

Buildings Energy Data Book (EERE)

3 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 Baltimore 4A 49.0 60.3 79.8 79.7 2.8 2.7 18.2 19.8 Albuquerque 4B 36.2 42.6 56.1 55.4 2.8 2.7 18.7 20.1 Seattle 4C 50.5 61.2 65.4 64.6 3.0 2.9 17.5 18.6 Chicago 5A 52.5 55.9 67.3 64.0 3.1 3.0 17.8 18.0 Boulder 5B 39.1 41.1 52.6 50.1 3.0 3.0 18.1 18.2 Minneapolis 6A 55.7 60.5 59.7 56.9 3.3 3.2 17.3 17.5 Helena 6B 45.5 49.4 48.4 46.0 3.3 3.2 17.3 17.4 Duluth 7 59.8 64.0 50.6 47.2 3.6 3.5 16.9 16.5 Fairbanks 8 86.9 91.1

220

Cleanroom energy benchmarking results  

E-Print Network (OSTI)

cooling system using cooling tower water for sensible andfor process cooling. Improve cooling tower efficiency byoperating multiple cooling towers at reduced fan speed

Tschudi, William; Xu, Tengfang

2001-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

ENERGY STAR Score for Hospitals (General Medical and Surgical...  

NLE Websites -- All DOE Office Websites (Extended Search)

Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program...

222

NERSC Benchmarking and Workload Characterization  

NLE Websites -- All DOE Office Websites (Extended Search)

Petascale Initiative Science Gateway Development Storage and IO Technologies Testbeds Home R & D Benchmarking & Workload Characterization Benchmarking & Workload...

223

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

SciTech Connect

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.

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

2008-02-01T23:59:59.000Z

224

SPP sales flyer for hospitality and hotels | ENERGY STAR Buildings & Plants  

NLE Websites -- All DOE Office Websites (Extended Search)

hospitality and hotels hospitality and hotels Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In This Section Campaigns Commercial building design Communications resources Energy management guidance Financial resources Portfolio Manager Products and purchasing Recognition Research and reports Service and product provider (SPP) resources Success stories Target Finder Technical documentation

225

Sell-Side Benchmarks  

E-Print Network (OSTI)

Sell-side analysts employ different benchmarks when defining their stock recommendations. For example, a ‘buy ’ for some brokers means the stock is expected to outperform its peers in the same sector (“sector benchmarkers”), while for other brokers it means the stock is expected to outperform the market (“market benchmarkers”), or just some absolute return (“total benchmarkers”). We explore the validity and implications of the adoption of these different benchmarks. Analysis of the relation between analysts ’ recommendations and their long-term growth and earnings forecasts suggests that analysts indeed abide by their benchmarks: Sector benchmarkers rely less on across-industry information, and focus more on ranking firms within their industries. We also find evidence that market- and sector-benchmarkers are successful in meeting or beating their benchmark returns, while total-benchmarkers are not. However, we do not find much evidence that investors react differently to recommendations based on the different benchmarks. The research carries implications for the correct understanding and interpretation of sell-side research and its investment value.

Ohad Kadan; Leonardo Madureira; Rong Wang; Tzachi Zach

2012-01-01T23:59:59.000Z

226

BENCHMARKING EMERGING PIPELINE INSPECTION TECHNOLOGIES  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking Emerging Pipeline Inspection Technologies To Department of Energy National Energy Technology Laboratory (NETL) DE-AP26-04NT40361 and Department of Transportation Research and Special Programs Administration (RSPA) DTRS56-02-T-0002 (Milestone 7) September 2004 Final Report on Benchmarking Emerging Pipeline Inspection Technologies Cofunded by Department of Energy National Energy Technology Laboratory (NETL) DE-AP26-04NT40361 and Department of Transportation Research and Special Programs Administration (RSPA) DTRS56-02-T-0002 (Milestone 7) by Stephanie A. Flamberg and Robert C. Gertler September 2004 BATTELLE 505 King Avenue Columbus, Ohio 43201-2693 Neither Battelle, nor any person acting on their behalf: (1) Makes any warranty or representation, expressed or implied, with respect to the

227

Radiation Detection Computational Benchmark Scenarios  

SciTech Connect

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

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

2013-09-24T23:59:59.000Z

228

Development of a California commercial building benchmarking database  

SciTech Connect

Building energy benchmarking is a useful starting point for commercial building owners and operators to target energy savings opportunities. There are a number of tools and methods for benchmarking energy use. Benchmarking based on regional data can provides more relevant information for California buildings than national tools such as Energy Star. This paper discusses issues related to benchmarking commercial building energy use and the development of Cal-Arch, a building energy benchmarking database for California. Currently Cal-Arch uses existing survey data from California's Commercial End Use Survey (CEUS), a largely underutilized wealth of information collected by California's major utilities. Doe's Commercial Building Energy Consumption Survey (CBECS) is used by a similar tool, Arch, and by a number of other benchmarking tools. Future versions of Arch/Cal-Arch will utilize additional data sources including modeled data and individual buildings to expand the database.

Kinney, Satkartar; Piette, Mary Ann

2002-05-17T23:59:59.000Z

229

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

E-Print Network (OSTI)

plants. Publication of this manual benefits from BarbaraLBNL Report User’s Manual for BEST-Dairy: Benchmarking andSathaye (2011). User’s Manual for BEST-Dairy: Benchmarking

Xu, T.

2011-01-01T23:59:59.000Z

230

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

E-Print Network (OSTI)

During the past year the Georgia Tech Research Institute performed technical assistance studies on over 100 school and hospital buildings under a program funded by the Governor's Office of Energy Resources. This program is known as the Targeted Schools and Hospitals Program because its objective is to involve facilities which have never participated in the traditional DOE funded Institutional Conservation Program (ICP) due to economic hardships. The program was specifically directed at non-participants by providing fully funded energy surveys on qualifying facilities. The energy surveys were conducted by the Georgia Tech Research Institute under contract with the Office of Energy Resources. This paper presents results on the range of energy conservation recommendations made and the number of occurrences in the total population as well as the typical percentage energy savings. This data can be used in forecasting the expected types of recommendations and energy reduction potential for a large population of institutional buildings.

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

1988-01-01T23:59:59.000Z

231

Outage Management Benchmarking Guideline  

Science Conference Proceedings (OSTI)

Benchmarking of power plant outages will help plants target performance improvements to specific elements of a plant outage program in order to improve overall availability, reliability, and safety while decreasing generation costs. EPRI's "Outage Management Benchmarking Guideline" builds on the Institute's fossil and nuclear plant experience with routine maintenance and extends that to outage maintenance processes. The guideline describes the initial steps in an outage benchmarking effort and 13 key ele...

2003-03-26T23:59:59.000Z

232

Magma benchmark code - CECM  

E-Print Network (OSTI)

Below is the Magma code used to run the benchmarks in Section 5 of the paper " In-place Arithmetic for Univariate Polynomials over an Algebraic Number Field" ...

233

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

E-Print Network (OSTI)

Re-commissioning, retro-commissioning, Continuous Commissioning® (CC®) are examples of successful systematic processes implemented in buildings to reduce overall building energy consumption, and improve efficiency of systems and their operations and control. The impact of the Continuous Commissioning® Process on the Energy Star® Rating (ESR) of office buildings and hospitals is examined in this thesis. The improvement in performance of a building, and subsequently its ESR, is found to be influenced by its initial ESR, while its location has no impact on improvement. The improvement in ESR is observed to be almost linearly proportional to the percentage of energy saved. For 10% - 20% reductions in energy use typical of the CC® process, the ESR is increased by 10-19 ESR ranks for office buildings and by 13 - 26 ESR ranks for hospitals. The CC® process is found to potentially enable an office building of average initial ESR of 62 and a hospital of average initial ESR of 55, located anywhere in the US, to be eligible to achieve ESR of 75 and consequently the Energy Star recognition. The improvement of ESR is a function of the initial ESR and the building type; hence it is observed to be different for hospitals and office buildings in the study. For hospital and office building models occupying 100,000 ft˛ of floor area each, a difference of about 30% in the ESR improvement (greater for hospitals) is observed. The energy intensities may be different for buildings with same ESRs that have different location and/or type. An averaged maximum difference of energy intensity of approximately 10% is observed to exist for identical buildings and of the same type but located at different locations. Hospitals are observed to be more than twice as energy intensive as office buildings for the same location and equal ESRs. ESR plotted against % energy savings at site reveals the stepped nature of ESR system. At specific initial ESR and corresponding % savings a reduction of up to approximately 1% for office buildings and up to 1.5% for hospitals does not change the respective ESRs for the model set of buildings in the study.

Kulkarni, Aditya Arun

2011-12-01T23:59:59.000Z

234

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

SciTech Connect

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

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

2010-03-01T23:59:59.000Z

235

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

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

236

Benchmarking foreign electronics technologies  

SciTech Connect

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.

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

1994-12-01T23:59:59.000Z

237

I/O Benchmarking Details  

NLE Websites -- All DOE Office Websites (Extended Search)

IO Benchmarking Details IO Benchmarking Details These benchmarks are simply the transfer rate for copying some files from an eliza file system to TMPDIR on a batch node. Each...

238

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

SciTech Connect

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.

Tuenge, Jason R.

2011-01-17T23:59:59.000Z

239

Verification and validation benchmarks.  

SciTech Connect

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

Oberkampf, William Louis; Trucano, Timothy Guy

2007-02-01T23:59:59.000Z

240

The GreenIT DC-benchmarking tool: from scientific theory to real life  

Science Conference Proceedings (OSTI)

Energy efficiency is one of the topics in achieving the goal of reducing the CO2 output in the next years. Data centers (DC) are big polluters. GreenIT DC-Benchmarking is the first neutral benchmarking tool that shows the specific energy and ... Keywords: data center benchmarking, energy consumption, energy efficiency & monitoring, key performance indicator, power usage effectiveness (PUE)

Ywes Israel; Thomas Leitert

2012-05-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

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

E-Print Network (OSTI)

source energy, or electrical power. DCIE site = IT sitesource energy use DCIE elecpower = IT electrical power /Total electrical power Note that the data center energy use

Mathew, Paul

2009-01-01T23:59:59.000Z

242

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

E-Print Network (OSTI)

Compressed Air System Energy Efficiency Study for Del Monteand Sustain System Energy Efficiency Thomas Taranto, Dataindustrial system energy efficiency - providing plant

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

2008-01-01T23:59:59.000Z

243

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

E-Print Network (OSTI)

Rejection equipment (cooling tower) Total primary energy useRejection equipment (cooling tower) Total primary energy useRejection equipment (cooling tower) Total primary energy use

Kamph, Jerome Henri

2010-01-01T23:59:59.000Z

244

ESP: A system utilization benchmark  

E-Print Network (OSTI)

ESP: A System Utilization Benchmark Adrian T. Wong, LeonidEffective System Performance (ESP) test, which is designedEffective System Performance (ESP) benchmark, which measures

Wong, Adrian T.; Oliker, Leonid; Kramer, William T.C.; Kaltz, Teresa L.; Bailey, David H.

2000-01-01T23:59:59.000Z

245

Geothermal Heat Pump Benchmarking Report  

SciTech Connect

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.

1997-01-17T23:59:59.000Z

246

90.1 Prototype Building Models Hospital | Building Energy Codes Program  

NLE Websites -- All DOE Office Websites (Extended Search)

Hospital Hospital The ASHRAE Standard 90.1 prototype building models were developed by Pacific Northwest National Laboratory in support of the U.S. Department of Energy's (DOE's) Building Energy Codes Program. These prototype buildings were derived from DOE's Commercial Reference Building Models. This suite of ASHRAE Standard 90.1 prototype buildings covers all the Reference Building types except supermarket, and also adds a new building prototype representing high-rise apartment buildings.The prototype models include 16 building types in 17 climate locations for ASHRAE Standards 90.1-2004, 90.1-2007 and 90.1-2010. This combination leads to a set of 816 building models (in EnergyPlus Version 6.0). Also included is a scorecard for each prototype building. The scorecard is a spreadsheet that summarizes the

247

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

E-Print Network (OSTI)

Energy recovery ventilation systems, including rotary heat exchangers or enthalpy wheels, utilize mature technologies that are routinely applied in commercial buildings. Energy recovery is particularly important in buildings with significant outdoor air intake requirements and has recently become widely accepted in applications such as schools and theatres. Hospitality applications including restaurants, bars, casinos and similar settings also stand to benefit from application of the technology, however, there is a lack of experience and therefore of accepted guidance in these applications. Furthermore, the unique challenges inherent in the variety of hospitality venues may limit appropriate use of the technology. Applying energy recovery ventilation to hospitality venues in hot, humid climates need not be complex. This paper proposes guidelines that can facilitate application of the technology by specifiers or other construction professionals. These guidelines address evaluation of typical projects for the suitability of energy recovery, selection of appropriate energy recovery ventilation technology, and criteria for successful application of enthalpy wheels. Examples of applications developed for different mechanical systems and building types are provided. The literature describing the opportunities and limitations associated with enthalpy wheels is summarized and referenced. Installation, operation, and maintenance insights are presented, derived from the body of industry experience with enthalpy wheels.

Wellford, B. W.

2000-01-01T23:59:59.000Z

248

Benchmarking Buildings to Prioritize Sites for Emissions Analysis |  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Benchmarking Buildings to Prioritize Sites for Emissions Analysis Benchmarking Buildings to Prioritize Sites for Emissions Analysis Benchmarking Buildings to Prioritize Sites for Emissions Analysis October 7, 2013 - 10:54am Addthis YOU ARE HERE Step 2 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. When a program has access to metered data or representative building data,

249

A framework for benchmarking land models  

SciTech Connect

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

Luo, Yiqi [University of Oklahoma; Randerson, James T. [University of California, Irvine; Hoffman, Forrest [ORNL; Norby, Richard J [ORNL

2012-01-01T23:59:59.000Z

250

A framework for benchmarking land models  

SciTech Connect

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

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

2012-10-09T23:59:59.000Z

251

Benchmark test of neutron transport calculations: Indium, nickel, gold, europium, and cobalt activation with and without energy moderated fission neutrons by iron simulating the Hiroshima atomic bomb casing  

Science Conference Proceedings (OSTI)

A benchmark test of the Monte Carlo neutron and photon transport code system (MCNP) was performed using a bare- and energy-moderated {sup 252}Cf fission neutron source which was obtained by transmission through 10-cm-thick iron. An iron plate was used to simulate the effect of the Hiroshima atomic bomb casing. This test includes the activation of indium and nickel for fast neutrons and gold, europium, and cobalt for thermal and epithermal neutrons, which were inserted in the moderators. The latter two activations are also to validate {sup 152}Eu and {sup 60}Co activity data obtained from the atomic bomb-exposed specimens collected at Hiroshima and Nagasaki, Japan. The neutron moderators used were Lucite and Nylon 6 and the total thickness of each moderator was 60 cm or 65 cm. Measured activity data (reaction yield) of the neutron-irradiated detectors in these moderators decreased to about 1/1,000th or 1/10,000th, which corresponds to about 1,500 m ground distance from the hypocenter in Hiroshima. For all of the indium, nickel, and gold activity data, the measured and calculated values agreed within 25%, and the corresponding values for europium and cobalt were within 40%. From this study, the MCNP code was found to be accurate enough for the bare- and energy-moderated {sup 252}Cf neutron activation calculations of these elements using moderators containing hydrogen, carbon, nitrogen, and oxygen. 18 refs., 10 figs., 4 tabs.

Iwatani, Kazuo; Shizuma, Kiyoshi; Hasai, Hiromi; Hoshi, Masaharu; Hiraoka, Masayuki; Hayakawa, Norihiko [Hiroshima Univ., Higashi-Hiroshima (Japan); Oka, Takamitsu [Kure Women`s College, Hiroshima-ken (Japan)

1994-10-01T23:59:59.000Z

252

Building Energy Software Tools Directory: Tools by Country -...  

NLE Websites -- All DOE Office Websites (Extended Search)

Software has been updated. e-Bench energy benchmarking, environmental benchmarking, energy audit, invoice verification and reconciliation, performance contract verification...

253

Trends in Energy Management Technology - Part 4: Review of Advanced Applications in Energy Management, Control, and Information Systems  

E-Print Network (OSTI)

to benchmark energy usage by normalizing it with buildingTo benchmark different buildings or sites, energy data can

Yee, Gaymond; Webster, Tom

2003-01-01T23:59:59.000Z

254

Introduction to the HPC Challenge Benchmark Suite  

E-Print Network (OSTI)

and Karl Solchenbach. Benchmark design for character-effect of computer benchmarks upon applied mathematics,Pe- titet. The LINPACK benchmark: Past, present, [11] Matteo

2005-01-01T23:59:59.000Z

255

Machine Learning Benchmarks and Random Forest Regression  

E-Print Network (OSTI)

Machine Learning Benchmarks and Random Forest Regressionerror on a suite of benchmark datasets. As the basethe Machine Learning Benchmark Problems package; see http://

Segal, Mark R

2004-01-01T23:59:59.000Z

256

Decommissioning Benchmarking Study Final Report | Department...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Benchmarking Study Final Report Decommissioning Benchmarking Study Final Report DOE's former Office of Environmental Restoration (EM-40) conducted a benchmarking study of its...

257

Benchmarking using basic DBMS operations  

Science Conference Proceedings (OSTI)

The TPC-H benchmark proved to be successful in the decision support area. Many commercial database vendors and their related hardware vendors used these benchmarks to show the superiority and competitive edge of their products. However, over time, the ...

Alain Crolotte; Ahmad Ghazal

2010-09-01T23:59:59.000Z

258

Gauging Improvements in Urban Building Energy Policy in India  

E-Print Network (OSTI)

the development of benchmark building energy use standards,to establish benchmarks for building energy use given usebuilding energy performance benchmarking tool called EcoBench. EcoBench uses an online interface to benchmark

Williams, Christopher

2013-01-01T23:59:59.000Z

259

MCNP/KENO criticality benchmarks  

SciTech Connect

In the past, criticality safety analyses related to the handling and storage of fissile materials were obtained from critical experiments, nuclear safety guides, and handbooks. As a result of rising costs and time delays associated with critical experiments, most experimental facilities have been closed, triggering an increased reliance on computational methods. With this reliance comes the need and requirement for redundant validation by independent criticality codes. Currently, the KENO Monte Carlo transport code is the most widely used tool for criticality safety calculations. For other transport codes, such as MCNP, to be accepted by the criticality safety community as a redundant validation tool they must be able to reproduce experimental results at least as well as KENO. The Monte Carlo neutron, photon, and electron transport code MCNP, has an extensive list of attractive features, including continuous energy cross sections, generalized 3-D geometry, time dependent transport, criticality k{sub eff} calculations, and comprehensive source and tally capabilities. It is widely used for nuclear criticality analysis, nuclear reactor shielding, oil well logging, and medical dosimetry calculations. This report specifically addresses criticality and benchmarks the KENO 25 problem test set. These sample problems constitute the KENO standard benchmark set and represent a relatively wide variety of criticality problems. The KENO Monte Carlo code was chosen because of its extensive benchmarking against analytical and experimental criticality results. Whereas the uncertainty in experimental parameters generally prohibits code validation to better than about 1% in k{sub eff}, the value of k{sub eff} for criticality is considered unacceptable if it deviates more than a few percent from measurements.

McKinney, G.W. [Los Alamos National Lab., NM (United States); Wagner, J.C. [Pennsylvania State Univ., University Park, PA (United States); Sisolak, J.E. [Wisconsin Univ., Madison, WI (United States)

1993-04-01T23:59:59.000Z

260

Multi-zone modeling of Thermal Comfort and Energy Consumption of a hospital ward.  

E-Print Network (OSTI)

?? Hospital is of interest when consider its especial function. Because of the obviously different between the normal residential buildings, the requirement of hospitals’ indoor… (more)

Xie, Tian

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

Shielding Integral Benchmark Archive and Database (SINBAD)  

Science Conference Proceedings (OSTI)

The Shielding Integral Benchmark Archive and Database (SINBAD) collection of benchmarks was initiated in the early 1990 s. SINBAD is an international collaboration between the Organization for Economic Cooperation and Development s Nuclear Energy Agency Data Bank (OECD/NEADB) and the Radiation Safety Information Computational Center (RSICC) at Oak Ridge National Laboratory (ORNL). SINBAD is a major attempt to compile experiments and corresponding computational models with the goal of preserving institutional knowledge and expertise that need to be handed down to future scientists. SINBAD is also a learning tool for university students and scientists who need to design experiments or gain expertise in modeling and simulation. The SINBAD database is currently divided into three categories fission, fusion, and accelerator benchmarks. Where possible, each experiment is described and analyzed using deterministic or probabilistic (Monte Carlo) radiation transport software.

Kirk, Bernadette Lugue [ORNL; Grove, Robert E [ORNL; Kodeli, I. [International Atomic Energy Agency (IAEA); Sartori, Enrico [ORNL; Gulliford, J. [OECD Nuclear Energy Agency

2011-01-01T23:59:59.000Z

262

Energy guides | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

track, and benchmark Improve energy performance ENERGY STAR industrial partnership Energy guides Energy efficiency and air regulation Plant energy auditing Industrial...

263

NREL Technical Reports Guide the Way to 50% Energy Savings in Hospitals, Office Buildings (Fact Sheet), NREL Highlights, Research & Development, NREL (National Renewable Energy Laboratory)  

NLE Websites -- All DOE Office Websites (Extended Search)

existing technologies, designers and operators of large existing technologies, designers and operators of large buildings could slash national energy use across a broad range of climates. Researchers at the National Renewable Energy Laboratory (NREL) have developed two technical reports that provide recommendations to help designers and opera- tors of large office buildings and hospitals achieve at least a 50% energy savings using existing technology. Strategies for 50% Energy Savings in Large Office Buildings found that a 50% energy savings can be realized in both low- and high-rise office buildings in a broad range of U.S. climates. Large Hospital 50% Energy Savings details how energy savings from 50.6% to 61.3% can be attained in large hospitals across all eight U.S. climate zones. To reach these energy efficiency

264

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

SciTech Connect

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

Xu, Tengfang; Greenberg, Steve

2007-08-01T23:59:59.000Z

265

Terry Sharp, P.E. Building Performance Benchmarking  

E-Print Network (OSTI)

Terry Sharp, P.E. Building Performance Benchmarking 3rd U.S. Army Energy Workshop January 25-26, 2007 EPA Energy Star Program and Energy Data Normalization Oak Ridge National Laboratory #12;Why You Should Care · Energy Star tools enable you to take Strategic Energy Management to a new level · Energy

Oak Ridge National Laboratory

266

Best Practice for Energy Efficient Cleanrooms: Control of Chilled Water System  

E-Print Network (OSTI)

1 shows benchmarked HVAC energy usage in a semiconductorFigure 1. Benchmarked HVAC energy usages in a semiconductor

Xu, Tengfang

2005-01-01T23:59:59.000Z

267

Large hospitals tend to be energy-intensive - Today in Energy ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... solar, wind, geothermal, ... natural gas was the most common main space heating fuel, ...

268

Healthcare Energy Metering Guidance (Brochure)  

Science Conference Proceedings (OSTI)

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.

Not Available

2011-07-01T23:59:59.000Z

269

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

E-Print Network (OSTI)

Using the CEUS Database to Benchmark Commercial Buildings infeatures allow users to “benchmark” the presence or absencefor Required Building Data Benchmark Applicable Metrics &

Mathew, Paul

2008-01-01T23:59:59.000Z

270

Building America Research Benchmark Definition: Updated December 2009  

SciTech Connect

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.'

Hendron, R.; Engebrecht, C.

2010-01-01T23:59:59.000Z

271

Developing a Web-based Benchmarking Tool for Laboratories  

NLE Websites -- All DOE Office Websites (Extended Search)

Developing a Web-based Benchmarking Tool for Laboratories Developing a Web-based Benchmarking Tool for Laboratories Speaker(s): Mayank Singh Date: November 22, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Dale Sartor (The EETD Applications Team includes: Satish Kumar, Paul Mathew, Dale Sartor, and Mayank Singh.) Developers of benchmarking tools are confronted with some common issues and some unique challenges. This presentation will describe the challenges faced by us while developing a web-based benchmarking tool for laboratories. Attributes such as the i) analytical and data visualization capability, and ii) flexibility and usability of the tool are common to any benchmarking effort. The various classification scheme and categories of laboratories, each with its own energy signature, posed a design challenge both for the database as well as data input forms,

272

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

E-Print Network (OSTI)

Hours (full cooling) Electrical Power Chain dP1 UPS Peak20 Electrical Power ChainBenchmarking Guide 6. Electrical Power Chain Metrics ID P1

Mathew, Paul

2010-01-01T23:59:59.000Z

273

ASHRAE Cleanroom Benchmarking Paper - REVISED  

NLE Websites -- All DOE Office Websites (Extended Search)

8E 8E Cleanroom Energy Efficiency: Metrics and Benchmarking Paul Mathew, William Tschudi, Dale Sartor Lawrence Berkeley National Laboratory James Beasley International SEMATECH Manufacturing Initiative October 2010 Published in ASHRAE Journal, v. 53, issue 10 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe

274

Commercial Reference Building: Hospital | OpenEI  

Open Energy Info (EERE)

09 09 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278309 Varnish cache server Commercial Reference Building: Hospital Dataset Summary Description Commercial reference buildings provide complete descriptions for whole building energy analysis using EnergyPlus simulation software. Included here is data pertaining to the reference building type Hospital for each of the 16 climate zones, and each of three construction categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings.The dataset includes four key components: building summary, zone summary, location summary and a picture. Building summary includes details about: form, fabric, and HVAC. Zone summary includes details such as: area, volume, lighting, and occupants for all types of zones in the building. Location summary includes key building information as it pertains to each climate zone, including: fabric and HVAC details, utility costs, energy end use, and peak energy demand.In total, DOE developed 16 reference building types that represent approximately 70% of commercial buildings in the U.S.; for each type, building models are available for each of the three construction categories. The commercial reference buildings (formerly known as commercial building benchmark models) were developed by the U.S. Department of Energy (DOE), in conjunction with three of its national laboratories.Additional data is available directly from DOE's Energy Efficiency & Renewable Energy (EERE) Website, including EnergyPlus software input files (.idf) and results of the EnergyPlus simulations (.html).

275

Measuring Performance and Benchmarking Project Management  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Measuring Performance and Measuring Performance and Benchmarking Project Management at the Department of Energy Measuring Performance and Benchmarking Project Management at the Department of Energy Committee for Oversight and Assessment of U.S. Department of Energy Project Management Board on Infrastructure and the Constructed Environment Division on Engineering and Physical Sciences THE NATIONAL ACADEMIES PRESS WASHINGTON, D.C. www.nap.edu THE NATIONAL ACADEMIES PRESS 500 Fifth Street, N.W. Washington, DC 20001 NOTICE: The project that is the subject of this report was approved by the Governing Board of the National Research Council, whose members are drawn from the councils of the National Academy of Sciences, the National Academy of Engineering, and the Institute of Medicine. The members of the

276

Quantum Benchmarks from minimal Resources  

E-Print Network (OSTI)

We investigate several recently published benchmark criteria for storage or transmission of quantum information. A comparison reveals that criteria based on a Gaussian distribution of coherent states are most resilient to noise. We then address the issue of experimental resources and derive an equally strong benchmark, solely based on three coherent states and homodyne detection. This benchmark is further simplified in the presence of naturally occurring random phases, which remove the need for active input state modulation.

Häseler, Hauke

2009-01-01T23:59:59.000Z

277

Large hospitals tend to be energy-intensive - Today in Energy ...  

U.S. Energy Information Administration (EIA)

... used energy for generating electricity, primarily for emergency back-up generation. Fuel oil was by far the most common fuel used for this ...

278

California commercial building energy benchmarking  

E-Print Network (OSTI)

querying (building type, climate zone, etc) sufficient forBuilding Type Floor Area Climate Zone Building Age Heatingtype, and zip code/climate zone. A memo describing the

Kinney, Satkartar; Piette, Mary Ann

2003-01-01T23:59:59.000Z

279

Sustained System Performance (SSP) Benchmark  

NLE Websites -- All DOE Office Websites (Extended Search)

John M. Shalf, and Erich Strohmaier Background The NERSC Approach to Procurement Benchmarks The NERSC-5 SSP The NERSC-6 SSP The Effective System Performance (ESP) Metric...

280

Decommissioning Benchmarking Study Final Report  

Energy.gov (U.S. Department of Energy (DOE))

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

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Effective System Performance (ESP) Benchmark  

NLE Websites -- All DOE Office Websites (Extended Search)

System Performance (ESP) Benchmark It is now generally recognized in the high performance computing community that peak performance does not adequately predict the usefulness...

282

Healthcare Energy Efficiency Research and Development  

SciTech Connect

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.

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

2011-01-31T23:59:59.000Z

283

Manufacturers' View on Benchmarking and Disclosure  

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

Association of Electrical and Association of Electrical and Medical Imaging Equipment Manufacturers Manufacturing Solutions for Energy Efficiency in Buildings Patrick Hughes Policy Director, High Performance Buildings National Electrical Manufacturers Association The Association of Electrical and Medical Imaging Equipment Manufacturers What is NEMA? The Association of Electrical Equipment and Medical Imaging Manufacturers Which policies encourage energy efficiency in buildings? Energy Savings Performance Contracts Tax Incentives Shaheen- Portman Benchmarking and Disclosure Bullitt Center Seattle, Washington The Association of Electrical Equipment and Medical Imaging Manufacturers Energy Savings Performance Contracts ESPCs pay for efficiency upgrades with

284

Occupancy-Based Energy Management in Buildings: Final Report to Sponsors  

E-Print Network (OSTI)

with performance benchmarks; (ii) whole building energybuilding combined sub-metered end-use data, performance benchmarks, energyto Benchmark Commercial Buildings in California." Energy

Sohn, Michael D.

2010-01-01T23:59:59.000Z

285

Benchmark Data Through The International Reactor Physics Experiment Evaluation Project (IRPHEP)  

SciTech Connect

The International Reactor Physics Experiments Evaluation Project (IRPhEP) was initiated by the Organization for Economic Cooperation and Development (OECD) Nuclear Energy Agency’s (NEA) Nuclear Science Committee (NSC) in June of 2002. The IRPhEP focus is on the derivation of internationally peer reviewed benchmark models for several types of integral measurements, in addition to the critical configuration. While the benchmarks produced by the IRPhEP are of primary interest to the Reactor Physics Community, many of the benchmarks can be of significant value to the Criticality Safety and Nuclear Data Communities. Benchmarks that support the Next Generation Nuclear Plant (NGNP), for example, also support fuel manufacture, handling, transportation, and storage activities and could challenge current analytical methods. The IRPhEP is patterned after the International Criticality Safety Benchmark Evaluation Project (ICSBEP) and is closely coordinated with the ICSBEP. This paper highlights the benchmarks that are currently being prepared by the IRPhEP that are also of interest to the Criticality Safety Community. The different types of measurements and associated benchmarks that can be expected in the first publication and beyond are described. The protocol for inclusion of IRPhEP benchmarks as ICSBEP benchmarks and for inclusion of ICSBEP benchmarks as IRPhEP benchmarks is detailed. The format for IRPhEP benchmark evaluations is described as an extension of the ICSBEP format. Benchmarks produced by the IRPhEP add new dimension to criticality safety benchmarking efforts and expand the collection of available integral benchmarks for nuclear data testing. The first publication of the "International Handbook of Evaluated Reactor Physics Benchmark Experiments" is scheduled for January of 2006.

J. Blair Briggs; Dr. Enrico Sartori

2005-09-01T23:59:59.000Z

286

Quantum benchmarks for Gaussian states  

E-Print Network (OSTI)

Teleportation and storage of continuous variable states of light and atoms are essential building blocks for the realization of large scale quantum networks. Rigorous validation of these implementations require identifying, and surpassing, benchmarks set by the most effective strategies attainable without the use of quantum resources. Such benchmarks have been established for special families of input states, like coherent states and particular subclasses of squeezed states. Here we solve the longstanding problem of defining quantum benchmarks for general pure Gaussian states with arbitrary phase, displacement, and squeezing, randomly sampled according to a realistic prior distribution. As a special case, we show that the fidelity benchmark for teleporting squeezed states with totally random phase and squeezing degree is 1/2, equal to the corresponding one for coherent states. We discuss the use of entangled resources to beat the benchmarks in experiments.

Chiribella, Giulio

2013-01-01T23:59:59.000Z

287

Plant energy auditing | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

track, and benchmark Improve energy performance ENERGY STAR industrial partnership Energy guides Energy efficiency and air regulation Plant energy auditing Industrial...

288

Improve energy performance | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

track, and benchmark Improve energy performance ENERGY STAR industrial partnership Energy guides Energy efficiency and air regulation Plant energy auditing Industrial...

289

Buildings Energy Data Book: 3.8 Hospitals and Medical Facilities  

Buildings Energy Data Book (EERE)

5 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 20.3 22.2 Baltimore 4A 85.9 97.6 34.8 35.3 1.0 1.0 21.0 23.5 Albuquerque 4B 76.5 83.6 30.4 30.9 1.0 1.0 24.1 26.4 Seattle 4C 91.7 103.1 22.8 22.6 1.1 1.0 20.9 22.9 Chicago 5A 92.4 96.0 28.1 26.4 1.1 1.1 21.2 22.1 Boulder 5B 79.9 82.9 24.7 23.3 1.1 1.1 23.4 24.4 Minneapolis 6A 97.1 102.0 24.9 23.5 1.2 1.1 21.1 22.1 Helena 6B 88.6 93.2 19.9 18.8 1.2 1.2 22.3 23.3 Duluth 7 100.6 104.6 17.0 15.5 1.3 1.3 20.8 21.2 Fairbanks

290

Precise Regression Benchmarking with Random Effects: Improving Mono Benchmark Results  

E-Print Network (OSTI)

Benchmarking as a method of assessing software performance is known to su#er from random fluctuations that distort the observed performance. In this paper, we focus on the fluctuations caused by compilation.

Tomas Kalibera; Petr Tuma

2006-01-01T23:59:59.000Z

291

Building America Research Benchmark Definition, Updated December 15, 2006  

Science Conference Proceedings (OSTI)

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''.

Hendron, R.

2007-01-01T23:59:59.000Z

292

Phase-Covariant Quantum Benchmarks  

E-Print Network (OSTI)

We give a quantum benchmark for teleportation and quantum storage experiments suited for pure and mixed test states. The benchmark is based on the average fidelity over a family of phase-covariant states and certifies that an experiment can not be emulated by a classical setup, i.e., by a measure-and-prepare scheme. We give an analytical solution for qubits, which shows important differences with standard state estimation approach, and compute the value of the benchmark for coherent and squeezed states, both pure and mixed.

Calsamiglia, J; Muńoz-Tŕpia, R; Bagán, E

2008-01-01T23:59:59.000Z

293

Phase-Covariant Quantum Benchmarks  

E-Print Network (OSTI)

We give a quantum benchmark for teleportation and quantum storage experiments suited for pure and mixed test states. The benchmark is based on the average fidelity over a family of phase-covariant states and certifies that an experiment can not be emulated by a classical setup, i.e., by a measure-and-prepare scheme. We give an analytical solution for qubits, which shows important differences with standard state estimation approach, and compute the value of the benchmark for coherent and squeezed states, both pure and mixed.

J. Calsamiglia; M. Aspachs; R. Munoz-Tapia; E. Bagan

2008-07-31T23:59:59.000Z

294

Air Ingress Benchmarking with Computational Fluid Dynamics Analysis  

E-Print Network (OSTI)

Temperature Reactor Technology Institute of Nuclear and New Energy Technology Friendship Hotel, Haidian by a CFD benchmarking program based on experimental work performed by JAERI (Japanese Atomic Energy Energy Research Institute) had been set up to study the ingress of air into the core as a result

295

Energy Efficiency and Commercial-Mortgage Valuation  

E-Print Network (OSTI)

that benchmarks for the energy consumption of o?ce buildingswe benchmark the existing energy e?ciency of buildings byto benchmark commercial o?ce buildings in california, Energy

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

296

Sustained System Performance (SSP) Benchmark  

NLE Websites -- All DOE Office Websites (Extended Search)

Sustained System Sustained System Performance (SSP) Benchmark Sustained System Performance (SSP) Benchmark William T.C. Kramer, John M. Shalf, and Erich Strohmaier Background The NERSC Approach to Procurement Benchmarks The NERSC-5 SSP The NERSC-6 SSP The Effective System Performance (ESP) Metric Conclusion Notes Formal description of SSP A formal description of the SSP, including detailed formulae, is now available. This is a portion of the soon-to-be-published Ph.D. dissertation, Kramer, W.T.C., 2008, "PERCU: A Holistic Method for Evaluating High End Computing Systems," Department of Electrical Engineering and Computer Science, University of California, Berkeley. Background Most plans and reports recently discuss only one of four distinct purposes benchmarks are used. The obvious purpose is selection of a system from

297

ESP: a system utilization benchmark  

Science Conference Proceedings (OSTI)

This article describes a new benchmark, called the Effective System Performance (ESP) test, which is designed to measure system-level performance, including such factors as job scheduling efficiency, handling of large jobs and shutdown-reboot times. ...

Adrian T. Wong; Leonid Oliker; William T. C. Kramer; Teresa L. Kaltz; David H. Bailey

2000-11-01T23:59:59.000Z

298

Building America Research Benchmark Definition, Updated December 29, 2004  

DOE Green Energy (OSTI)

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

Hendron, R.

2005-02-01T23:59:59.000Z

299

Benchmarks for GADRAS performance validation.  

SciTech Connect

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

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

2009-09-01T23:59:59.000Z

300

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

E-Print Network (OSTI)

other buildings and other available energy-use benchmarks.good benchmark energy consumption data for buildings, and (building energy consumption in Beijing, especially monthly separated data. A benchmark

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

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Depletion Reactivity Benchmark for the International Handbook of Evaluated Reactor Physics Benchmark Experiments  

Science Conference Proceedings (OSTI)

The Electric Power Research Institute– (EPRI-) sponsored depletion reactivity benchmarks documented in reports 1022909, Benchmarks for Quantifying Fuel Reactivity Depletion Uncertainty, and 1025203, Utilization of the EPRI Depletion Benchmarks for Burnup Credit Validation, have been translated to an evaluated benchmark for incorporation in the International Handbook of Evaluated Reactor Physics Benchmark Experiments (IRPhE), published by the Organisation for Economic ...

2013-04-10T23:59:59.000Z

302

Short-Term Energy Outlook - U.S. Energy Information Administration ...  

U.S. Energy Information Administration (EIA)

Energy Information Administration ... Energy use in homes, commercial buildings, ... crude oil benchmarks fell in September.

303

Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar  

SciTech Connect

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

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

2010-08-01T23:59:59.000Z

304

Roberts: Reconfigurable Platform for Benchmarking Real-time Systems  

E-Print Network (OSTI)

Department of Electrical and Electronic Engineering Imperial College London, UK p-time properties and energy consumption. The benchmarking takes into account system workload and environmental-test, and with support for on-line monitoring of the response time, output values and energy consumption. The proposed

Luk, Wayne

305

Benchmarking Biomass Gasification Technologies  

NLE Websites -- All DOE Office Websites (Extended Search)

Biomass Gasification Technologies for Biomass Gasification Technologies for Fuels, Chemicals and Hydrogen Production Prepared for U.S. Department of Energy National Energy Technology Laboratory Prepared by Jared P. Ciferno John J. Marano June 2002 i ACKNOWLEDGEMENTS The authors would like to express their appreciation to all individuals who contributed to the successful completion of this project and the preparation of this report. This includes Dr. Phillip Goldberg of the U.S. DOE, Dr. Howard McIlvried of SAIC, and Ms. Pamela Spath of NREL who provided data used in the analysis and peer review. Financial support for this project was cost shared between the Gasification Program at the National Energy Technology Laboratory and the Biomass Power Program within the DOE's Office of Energy Efficiency and Renewable Energy.

306

Effective System Performance (ESP) Benchmark  

NLE Websites -- All DOE Office Websites (Extended Search)

Effective System Effective System Performance (ESP) Benchmark Effective System Performance (ESP) Benchmark It is now generally recognized in the high performance computing community that peak performance does not adequately predict the usefulness of a system for a given set of applications. One of the first benchmarks designed to measure system performance in a real-world operational environment was NERSC's Effective System Performance (ESP) test. NERSC introduced ESP in 1999 with the hope that this test would be of use to system managers and would help to spur the community (both researchers and vendors) to improve system efficiency. The discussion below uses examples from the Cray T3E system that NERSC was operating in 1999. Improved MPP System Efficiency Equals Million-Dollar Savings

307

Benchmarking Building Performance & the Australian Building Greenhouse  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking Building Performance & the Australian Building Greenhouse Benchmarking Building Performance & the Australian Building Greenhouse Rating Scheme Speaker(s): Paul Bannister Date: August 21, 2006 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Stephen Selkowitz (Two topics): Benchmarking Building Performance: In a variety of voluntary and regulatory initiatives around the globe, including the introduction of the European Building Performance Directive, the question of how to assess the performance of commercial buildings has become a critical issue. There are presently a number of initiatives for the assessment of actual building performance internationally, including in particular US Energy Star Buildings rating tools and the Australian Building Greenhouse Rating scheme. These schemes seek to assess building energy performance on the

308

Current Reactor Physics Benchmark Activities at the Idaho National Laboratory  

SciTech Connect

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.

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

2011-11-01T23:59:59.000Z

309

Benchmarking to Save Energy | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

310

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

E-Print Network (OSTI)

to compile data on energy and water usage in their own dairyof increased energy and water usage in California, makingwell as water usage. The cumulative energy and water end use

Xu, T.

2011-01-01T23:59:59.000Z

311

A Power Benchmarking Framework for Network Devices  

E-Print Network (OSTI)

Abstract. Energy efficiency is becoming increasingly important in the operation of networking infrastructure, especially in enterprise and data center networks. Researchers have proposed several strategies for energy management of networking devices. However, we need a comprehensive characterization of power consumption by a variety of switches and routers to accurately quantify the savings from the various power savings schemes. In this paper, we first describe the hurdles in network power instrumentation and present a power measurement study of a variety of networking gear such as hubs, edge switches, core switches, routers and wireless access points in both stand-alone mode and a production data center. We build and describe a benchmarking suite that will allow users to measure and compare the power consumed for a large set of common configurations at any switch or router of their choice. We also propose a network energy proportionality index, which is an easily measurable metric, to compare power consumption behaviors of multiple devices.

Priya Mahadevan; Puneet Sharma; Sujata Banerjee

2009-01-01T23:59:59.000Z

312

COSBench: cloud object storage benchmark  

Science Conference Proceedings (OSTI)

With object storage systems being increasingly recognized as a preferred way to expose one's storage infrastructure to the web, the past few years have witnessed an explosion in the acceptance of these systems. Unfortunately, the proliferation of available ... Keywords: benchmark tool, object storage

Qing Zheng; Haopeng Chen; Yaguang Wang; Jian Zhang; Jiangang Duan

2013-04-01T23:59:59.000Z

313

Rating energy efficiency and sustainability in laboratories: Results and lessons from the Labs21 program  

E-Print Network (OSTI)

building systems and resulting energy use. The Labs21 Benchmarkbuilding types that have complex requirements impacting energy and environmental performance. Energy Benchmarking Why Benchmark

Mathew, Paul; Sartor, Dale; van Geet, Otto; Reilly, Sue

2004-01-01T23:59:59.000Z

314

Best Practices for Energy Efficient Cleanrooms Efficient HVAC Systems: Variable-Speed-Drive Chillers  

E-Print Network (OSTI)

the portion of chiller energy usage was significant. It is,Figure 1. Benchmarked HVAC energy usages in a semiconductor2. Benchmarked cleanroom energy usages in a semiconductor

Xu, Tengfang

2005-01-01T23:59:59.000Z

315

Aluchemie Back to Benchmark - Programmaster.org  

Science Conference Proceedings (OSTI)

Meeting, 2010 TMS Annual Meeting & Exhibition. Symposium, Electrode Technology for Aluminum Production. Presentation Title, Aluchemie Back to Benchmark.

316

Testing (Validating?) Cross Sections with ICSBEP Benchmarks  

SciTech Connect

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).

Kahler, Albert C. III [Los Alamos National Laboratory

2012-06-28T23:59:59.000Z

317

Building America Research Benchmark Definition: Updated December 19, 2008  

SciTech Connect

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.

Hendron, R.

2008-12-01T23:59:59.000Z

318

Complex version of high performance computing LINPACK benchmark (HPL)  

Science Conference Proceedings (OSTI)

This paper describes our effort to enhance the performance of the AORSA fusion energy simulation program through the use of high-performance LINPACK (HPL) benchmark, commonly used in ranking the top 500 supercomputers. The algorithm used by HPL, enhanced ... Keywords: HPL, parallel dense solver

R. F. Barrett; T. H. F. Chan; E. F. D'Azevedo; E. F. Jaeger; K. Wong; R. Y. Wong

2010-04-01T23:59:59.000Z

319

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

SciTech Connect

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.

Hoffman, D.P.; Gibson, L.V. Jr.; Hermes, W.H. [Martin Marietta Energy Systems, Inc., Oak Ridge, TN (United States); Bastian, R.E. [Focus Environmental, Inc., Knoxville, TN (United States); Davis, W.T. [Tennessee Univ., Knoxville, TN (United States)

1994-01-01T23:59:59.000Z

320

System Utilization Benchmark on the Cray T3E  

NLE Websites -- All DOE Office Websites (Extended Search)

Utilization Benchmark on the Cray T3E Utilization Benchmark on the Cray T3E and IBM SP Adrian Wong, Leonid Oliker, William Kramer, Teresa Kaltz, and David Bailey National Energy Research Scientific Computing Center, Lawrence Berkeley National Laboratory, 1 Cyclotron Rd, Berkeley, CA 94720, USA {atwong, loliker, wtkramer, tlkaltz, dhbailey}@lbl.gov Abstract. Obtaining maximum utilization of parallel systems continues to be an active area of research and development. This article outlines a new benchmark, called the Eflectiwe System Performance (ESP) test, designed to provide a utilization metric that is transferable between sys- tems and illuminate the effects of various scheduling parameters. Results with discussion are presented for the Cray T3E and IBM SP systems to- gether with insights obtained from simulation.

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Criticality benchmark comparisons leading to cross-section upgrades  

Science Conference Proceedings (OSTI)

For several years criticality benchmark calculations with COG. COG is a point-wise Monte Carlo code developed at Lawrence Livermore National Laboratory (LLNL). It solves the Boltzmann equation for the transport of neutrons and photons. The principle consideration in developing COG was that the resulting calculation would be as accurate as the point-wise cross-sectional data, since no physics computational approximations were used. The objective of this paper is to report on COG results for criticality benchmark experiments in concert with MCNP comparisons which are resulting in corrections an upgrades to the point-wise ENDL cross-section data libraries. Benchmarking discrepancies reported here indicated difficulties in the Evaluated Nuclear Data Livermore (ENDL) cross-sections for U-238 at thermal neutron energy levels. This led to a re-evaluation and selection of the appropriate cross-section values from several cross-section sets available (ENDL, ENDF/B-V). Further cross-section upgrades anticipated.

Alesso, H.P.; Annese, C.E.; Heinrichs, D.P.; Lloyd, W.R.; Lent, E.M.

1993-03-01T23:59:59.000Z

322

Benchmarking Variable Cost Performance in an Industrial Power Plant  

E-Print Network (OSTI)

One of the most perplexing problems for industrial power plants committed to improving competitiveness is measuring variable cost performance over time. Because variable costs like fuel and electricity represent the overwhelming majority of power plant expenses, it is imperative to develop and deploy a tool that can help plants benchmark operating performance. This paper introduces a benchmarking methodology designed to meet this need. The "Energy Conversion Index" (ECI) ratios the "value" of utilities exported from the power plant to the actual cost of the fuel and electricity required to produce them, generating a single number or "index." Variable cost performance is benchmarked by comparing the index from one period of time to the index of another comparable period of time. Savings (or costs) attributable to excellent (or poor) performance can easily be calculated by using the former period's index to project the current period's cost.

Kane, J. F.; Bailey, W. F.

1998-04-01T23:59:59.000Z

323

China Energy Primer  

E-Print Network (OSTI)

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

Ni, Chun Chun

2010-01-01T23:59:59.000Z

324

Including the Human Factor in Dependability Benchmarks  

E-Print Network (OSTI)

We describe the construction of a dependability benchmark that captures the impact of the human system operator on the tested system. Our benchmark follows the usual model of injecting faults and perturbations into the tested system; however, our perturbations are generated by the unscripted actions of actual human operators participating in the benchmark procedure in addition to more traditional fault injection. We introduce the issues that arise as we attempt to incorporate human behavior into a dependability benchmark and describe the possible solutions that we have arrived at through preliminary experimentation. Finally, we describe the implementation of our techniques in a dependability benchmark that we are currently developing

Aaron B. Brown; Leonard C. Chung; David A. Patterson

2002-01-01T23:59:59.000Z

325

Benchmarking and Performance Based Rating System for Commercial Buildings  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking and Performance Based Rating System for Commercial Buildings Benchmarking and Performance Based Rating System for Commercial Buildings in India Speaker(s): Saket Sarraf Date: May 4, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Girish Ghatikar The Indian building sector has witnessed huge surge in interest in energy performance in the last decade. The 'intention' based codes like the national Energy Conservation Building Code (ECBC) and green building rating systems such as Leadership in Energy and Environment Design (LEED-India) and Green Rating for Integrated Habitat Assessment (GRIHA) have been the prime mechanisms to design and assess energy efficient buildings. However, they do not rate the 'achieved' energy performance of buildings over time or reward their performance through a continuous evaluation process.

326

ENERGY STAR in action | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmark energy use ENERGY STAR in action Programs and policies using ENERGY STAR Green buildings and ENERGY STAR Communicate and educate Find out who's partnered with...

327

Building Energy Software Tools Directory: Carbon Estates  

NLE Websites -- All DOE Office Websites (Extended Search)

Keywords Energy Benchmarking; Retrofitting Simulation; Energy Management; Carbon Management ValidationTesting Methodology: Dutch methodology NEN 2916:1998 (Energy...

328

Benchmarking and Self-Assessment in the Wine Industry  

SciTech Connect

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.

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

2005-12-01T23:59:59.000Z

329

HumanoidHospital Sustainable  

E-Print Network (OSTI)

HHO HumanoidHospital Nanoscale Science Nano-Bio Interface Sustainable Energy Renewable Materials, students, or applicants for admission or employment on the basis of race, gender, disability, age, veteran

Beex, A. A. "Louis"

330

Multipole Analysis of a Benchmark Data Set for Pion Photoproduction  

E-Print Network (OSTI)

We have fitted low- and medium-energy benchmark datasets employing methods used in the MAID/SAID and dynamical model analyses. Independent fits from the Mainz, RPI, Yerevan, and Kharkov groups have also been performed over the low-energy region. Results for the multipole amplitudes are compared in order to gauge the model-dependence of such fits, given identical data and a single method for error handling.

R. A. Arndt; I. Aznauryan; R. M. Davidson; D. Drechsel; O. Hanstein; S. S. Kamalov; A. S. Omelaenko; I. Strakovsky; L. Tiator; R. L. Workman; S. N. Yang

2001-06-25T23:59:59.000Z

331

Review of National and California Benchmarking Methods  

NLE Websites -- All DOE Office Websites (Extended Search)

Review of California and National Methods for Review of California and National Methods for Energy-Performance Benchmarking of Commercial Buildings Nance E. Matson and Mary Ann Piette Ernest Orlando Lawrence Berkeley National Laboratory September 5 th , 2005 LBNL No. 57364 DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned

332

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...

333

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

E-Print Network (OSTI)

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

DeRoos, R.L.

2011-01-01T23:59:59.000Z

334

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

Science Conference Proceedings (OSTI)

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

J. Blair Briggs; John D. Bess

2011-08-01T23:59:59.000Z

335

Benchmark precision and random initial state  

E-Print Network (OSTI)

The applications of software benchmarks place an obvious demand on the precision of the benchmark results. An intuitive and frequently employed approach to obtaining precise enough benchmark results is having the benchmark collect a large number of samples that are simply averaged or otherwise statistically processed. We show that this approach ignores an inherent and unavoidable nondeterminism in the initial state of the system that is evaluated, often leading to an implausible estimate of result precision. We proceed by outlining the sources of nondeterminism in a typical system, illustrating the impact of the nondeterminism on selected classes of benchmarks. Finally, we suggest a method for quantitatively assessing the influence of nondeterminism on a benchmark, as well as approach that provides a plausible estimate of result precision in face of the nondeterminism.

Tomas Kalibera; Lubomir Bulej; Petr Tuma

2005-01-01T23:59:59.000Z

336

Factors Causing Unexpected Variations in Ada Benchmarks  

E-Print Network (OSTI)

Benchmarks are often used to describe the performance of computer systems. This report considers factors that may cause Ada benchmarks to produce inaccurate results. Included are examples from the ongoing benchmarking efforts of the Ada Embedded Systems Testbed (AEST) Project using bare target computers with several Ada compilers. 1. Introduction One of the goals of the Ada Embedded Systems Testbed (AEST) Project is to assess the readiness of the Ada programming language and Ada tools for developing embedded systems. The benchmarking and instrumentation subgroup within the AEST Project is running various suites of Ada benchmarks to obtain data on the real-time performance of Ada on a number of different target systems. The purpose of this report is to categorize the factors which cause anomalous results to be produced by the benchmarks. Some of these factors have been observed, while others are more speculative in nature. All these factors should be understood if accurate, comparable,...

Neal Altman; Neal Altman

1987-01-01T23:59:59.000Z

337

benchmarks  

NLE Websites -- All DOE Office Websites (Extended Search)

Profile for Selected PCBs, ATSDRTP-8821, U.S. Public Health Service, Washington, D.C. Boese, B. L., H. Lee II, D. T. Specht, R. C. Randall, and M. H. Winsor 1990....

338

Optimization Online - Benchmark of Some Nonsmooth Optimization ...  

E-Print Network (OSTI)

Mar 1, 2006 ... Benchmark of Some Nonsmooth Optimization Solvers for Computing Nonconvex Proximal Points. Warren Hare (whare ***at*** cecm.sfu.ca)

339

Benchmarking optimization software with performance profiles  

E-Print Network (OSTI)

Mar 15, 2001 ... Abstract: We propose performance profiles -- probability distribution functions for a performance metric -- as a tool for benchmarking and ...

340

2000 TMS Annual Meeting Exhibitor: BENCHMARK STRUCTURAL  

Science Conference Proceedings (OSTI)

Benchmark Structural Ceramics Corp., has substituted the use of sintered silicon nitride and sialon parts utilized in molten aluminum handling and service with ...

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

Measurement Technology for Benchmark Spray Combustion ...  

Science Conference Proceedings (OSTI)

Benchmark Spray Combustion Database. ... A1, uncertainty budget for the fuel flow rate. A2, uncertainty budget for the combustion air flow rate. ...

2013-07-15T23:59:59.000Z

342

Method and system for benchmarking computers  

DOE Patents (OSTI)

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.

Gustafson, John L. (Ames, IA)

1993-09-14T23:59:59.000Z

343

Performance Evaluation and Benchmarking of Intelligent ...  

Science Conference Proceedings (OSTI)

Performance Evaluation and Benchmarking of Intelligent Systems Book. 2009, XIX, 338 p., Hardcover ISBN: 978-1-4419-0491-1 ... About this book: ...

2010-12-20T23:59:59.000Z

344

Quantum benchmarking with realistic states of light  

E-Print Network (OSTI)

The goal of quantum benchmarking is to certify that imperfect quantum communication devices (e.g., quantum channels, quantum memories, quantum key distribution systems) can still be used for meaningful quantum communication. However, the test states used in quantum benchmarking experiments may be imperfect as well. Many quantum benchmarks are only valid for states which match some ideal form, such as pure states or Gaussian states. We outline how to perform quantum benchmarking using arbitrary states of light. These results are used to certify a continuous variable quantum memory by showing that it has the ability to preserve entanglement.

Killoran, Nathan; Buchler, Ben C; Lam, Ping Koy; Lütkenhaus, Norbert

2012-01-01T23:59:59.000Z

345

Energy Information Handbook: Applications for Energy-Efficient Building Operations  

E-Print Network (OSTI)

the energy usage for each building from one benchmark periodbuilding use type? For example, ENERGY STAR can be used to benchmarkthe benchmark. In this example, Building A uses less energy

Granderson, Jessica

2013-01-01T23:59:59.000Z

346

Randomized Benchmarking of Quantum Gates  

E-Print Network (OSTI)

A key requirement for scalable quantum computing is that elementary quantum gates can be implemented with sufficiently low error. One method for determining the error behavior of a gate implementation is to perform process tomography. However, standard process tomography is limited by errors in state preparation, measurement and one-qubit gates. It suffers from inefficient scaling with number of qubits and does not detect adverse error-compounding when gates are composed in long sequences. An additional problem is due to the fact that desirable error probabilities for scalable quantum computing are of the order of 0.0001 or lower. Experimentally proving such low errors is challenging. We describe a randomized benchmarking method that yields estimates of the computationally relevant errors without relying on accurate state preparation and measurement. Since it involves long sequences of randomly chosen gates, it also verifies that error behavior is stable when used in long computations. We implemented randomized benchmarking on trapped atomic ion qubits, establishing a one-qubit error probability per randomized pi/2 pulse of 0.00482(17) in a particular experiment. We expect this error probability to be readily improved with straightforward technical modifications.

E. Knill; D. Leibfried; R. Reichle; J. Britton; R. B. Blakestad; J. D. Jost; C. Langer; R. Ozeri; S. Seidelin; D. J. Wineland

2007-07-06T23:59:59.000Z

347

Federal Energy Management Program: Energy Independence and Security Act,  

NLE Websites -- All DOE Office Websites (Extended Search)

Energy Energy Independence and Security Act, Section 432: Federal Facility Management and Benchmarking Requirements to someone by E-mail Share Federal Energy Management Program: Energy Independence and Security Act, Section 432: Federal Facility Management and Benchmarking Requirements on Facebook Tweet about Federal Energy Management Program: Energy Independence and Security Act, Section 432: Federal Facility Management and Benchmarking Requirements on Twitter Bookmark Federal Energy Management Program: Energy Independence and Security Act, Section 432: Federal Facility Management and Benchmarking Requirements on Google Bookmark Federal Energy Management Program: Energy Independence and Security Act, Section 432: Federal Facility Management and Benchmarking Requirements on Delicious

348

Benchmark calculations for electron collisions with zinc atoms  

SciTech Connect

We present results from R-matrix (close-coupling) calculations for elastic scattering and electron impact excitation of Zn. The overall agreement between the predictions from two independent models, using either a semiempirical core potential or a recently developed B-spline approach with nonorthogonal orbitals, is very satisfactory. The latter method, however, yields particularly good agreement with the few existing experimental benchmark data for resonances at low incident energies.

Zatsarinny, Oleg; Bartschat, Klaus [Department of Physics and Astronomy, Drake University, Des Moines, Iowa 50311 (United States)

2005-02-01T23:59:59.000Z

349

The benchmark of gutzwiller density functional theory in hydrogen systems  

SciTech Connect

We propose an approximate form of the exchange-correlation energy functional for the Gutzwiller density functional theory. It satisfies certain physical constraints in both weak and strong electron correlation limits. We benchmark the Gutzwiller density functional approximation in the hydrogen systems, where the static correlation error is shown to be negligible. The good transferability is demonstrated by applications to the hydrogen molecule and some crystal structures.

Yao, Y.; Wang, Cai-Zhuang; Ho, Kai-Ming

2012-02-23T23:59:59.000Z

350

Memory-intensive benchmarks: IRAM vs. cache-based machines  

E-Print Network (OSTI)

the Stressmarks of the DIS Benchmark Project, v 1.0, TitanB. R. Gaeke, “GUPS Benchmark Manual,” Univ. of California,be indispensable to re-run our benchmarks on the real VIRAM

2001-01-01T23:59:59.000Z

351

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

SciTech Connect

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

Briggs, Joseph Blair

2001-10-01T23:59:59.000Z

352

Benchmarking ICRF simulations for ITER  

DOE Green Energy (OSTI)

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

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

2010-09-28T23:59:59.000Z

353

Join ENERGY STAR as a partner | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

we help you? Build an energy program Improve building and plant performance Earn the ENERGY STAR and other recognition Benchmark energy use ENERGY STAR in action Communicate and...

354

Energy Information Handbook: Applications for Energy-Efficient Building Operations  

E-Print Network (OSTI)

and Renewable Energy, Building Technologies Program, of theU.S. Department of Energy Buildings Energy Data Book andchallenges encountered in building energy benchmarking, and

Granderson, Jessica

2013-01-01T23:59:59.000Z

355

An Independent Benchmarking of SDP and SOCP Solvers  

E-Print Network (OSTI)

The codes were run on a standard platform and on all the benchmark ... tabulated and commented benchmarking results this provides an overview of the state of ...

356

Fairer Benchmarking of Optimization Algorithms via Derivative Free ...  

E-Print Network (OSTI)

Oct 13, 2010 ... Some benchmarking is done as a proof-of-concept, ... amine an issue that arise during benchmarking and discuss a technique that can help ...

357

On-chip Benchmarking and Calibration without External References  

E-Print Network (OSTI)

the target component. A benchmark value is calculated based11  3.4 Calibration using Benchmarkthe target component. A benchmark value is calculated based

Lee, Cheol-Woong

2011-01-01T23:59:59.000Z

358

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

E-Print Network (OSTI)

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

Mathew, Paul

2010-01-01T23:59:59.000Z

359

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

E-Print Network (OSTI)

distribution, lighting, and any other form of energy use, like steamdistribution, lighting, and any other form of energy use, like steam

Mathew, Paul

2010-01-01T23:59:59.000Z

360

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

E-Print Network (OSTI)

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

Mathew, Paul

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

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

E-Print Network (OSTI)

and benchmark energy use among a portfolio of sites by plotting energy-use data for multiple buildings and

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

2003-01-01T23:59:59.000Z

362

Solitary Wave Benchmarks in Magma Dynamics  

E-Print Network (OSTI)

We present a model problem for benchmarking codes that investigate magma migration in the Earth's interior. This system retains the essential features of more sophisticated models, yet has the advantage of possessing solitary wave solutions. The existence of such exact solutions to the nonlinear problem make it an excellent benchmark problem for combinations of solver algorithms. In this work, we explore a novel algorithm for computing high quality approximations of the solitary waves and use them to benchmark a semi-Lagrangian Crank-Nicholson scheme for a finite element discretization of the time dependent problem.

Simpson, Gideon

2010-01-01T23:59:59.000Z

363

Environmental Energy Technologies Division News  

NLE Websites -- All DOE Office Websites (Extended Search)

accessed at http:energyiq.lbl.gov. EnergyIQ improves upon typical "whole-building" energy benchmarking tools by providing benchmarking at the end-use level, and enabling users...

364

Energy Service Company (ESCO) Project Performance Benchmarking...  

NLE Websites -- All DOE Office Websites (Extended Search)

universities, colleges, and K-12 schools. The values reported represent typical project costs, savings, and economics for ESCO projects in the LBNLNAESCO project...

365

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

SciTech Connect

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

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

2012-07-01T23:59:59.000Z

366

Benchmark scenarios for the NMSSM  

E-Print Network (OSTI)

We discuss constrained and semi--constrained versions of the next--to--minimal supersymmetric extension of the Standard Model (NMSSM) in which a singlet Higgs superfield is added to the two doublet superfields that are present in the minimal extension (MSSM). This leads to a richer Higgs and neutralino spectrum and allows for many interesting phenomena that are not present in the MSSM. In particular, light Higgs particles are still allowed by current constraints and could appear as decay products of the heavier Higgs states, rendering their search rather difficult at the LHC. We propose benchmark scenarios which address the new phenomenological features, consistent with present constraints from colliders and with the dark matter relic density, and with (semi--)universal soft terms at the GUT scale. We present the corresponding spectra for the Higgs particles, their couplings to gauge bosons and fermions and their most important decay branching ratios. A brief survey of the search strategies for these states at the LHC is given.

A. Djouadi; M. Drees; U. Ellwanger; R. Godbole; C. Hugonie; S. F. King; S. Lehti; S. Moretti; A. Nikitenko; I. Rottlaender; M. Schumacher; A. Teixeira

2008-01-28T23:59:59.000Z

367

Benchmark the Fuel Cost of Steam Generation  

SciTech Connect

This revised ITP 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.

2006-01-01T23:59:59.000Z

368

Benchmarking autonomic capabilities: Promises and pitfalls  

E-Print Network (OSTI)

Benchmarks provide a way to quantify progress in a field. Excellent examples of this are the dramatic improvements in processor speeds and middleware performance over the last decade, driven in part by SPEC ®

Aaron B. Brown; Joseph Hellerstein; Matt Hogstrom; Tony Lau; Sam Lightstone; Peter Shum; Mary Peterson Yost

2004-01-01T23:59:59.000Z

369

Action-Oriented Benchmarking: Concepts and Tools  

NLE Websites -- All DOE Office Websites (Extended Search)

opportunity assessment process can then be used to inform and optimize a full-scale audit or commissioning process. We introduce a new web-based action-oriented benchmarking...

370

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

E-Print Network (OSTI)

itself constitute an energy audit procedure or checklist. (may be used as part of an energy audit procedure, or to helpenergy use include: • Turning off equipment while not in use • Conducting a usage audit

Mathew, Paul

2010-01-01T23:59:59.000Z

371

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

E-Print Network (OSTI)

chillers, pumps, cooling towers. If load is not directlychillers, pumps, cooling towers) in terms of energy input

Mathew, Paul

2010-01-01T23:59:59.000Z

372

Mixed-Oxide (MOX) Fuel Performance Benchmarks  

Science Conference Proceedings (OSTI)

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

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

2009-01-01T23:59:59.000Z

373

Physics Benchmarks for the ILC Detectors  

E-Print Network (OSTI)

This note presents a list of physics processes for benchmarking the performance of proposed ILC detectors. This list gives broad coverage of the required physics capabilities of the ILC experiments and suggests target accuracies to be achieved. A reduced list of reactions, which capture within a very economical set the main challenges put by the ILC physics program, is suggested for the early stage of benchmarking of the detector concepts.

M. Battaglia; T. Barklow; M. Peskin; Y. Okada; S. Yamashita; P. Zerwas

2006-03-06T23:59:59.000Z

374

LUBM: A benchmark for OWL knowledge base systems  

Science Conference Proceedings (OSTI)

We describe our method for benchmarking Semantic Web knowledge base systems with respect to use in large OWL applications. We present the Lehigh University Benchmark (LUBM) as an example of how to design such benchmarks. The LUBM features an ontology ... Keywords: Evaluation, Knowledge base system, Lehigh University Benchmark, Semantic Web

Yuanbo Guo; Zhengxiang Pan; Jeff Heflin

2005-10-01T23:59:59.000Z

375

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

DOE Green Energy (OSTI)

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

Hendron, R.

2005-01-01T23:59:59.000Z

376

Hospitality resources | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

manufacturing resources K-12 school resources Multifamily housing resources Restaurant resources Retail resources Senior care resources Small business resources State and...

377

Making Buildings Part of the Climate Solution by Overcoming Information Gaps through Benchmarking  

E-Print Network (OSTI)

This paper focuses on the impact of benchmarking the energy performance of U.S. commercial buildings by requiring utilities to submit energy data to a uniform database accessible to building owners and tenants. Understanding how a commercial building uses energy has many benefits; in particular, it helps building owners and tenants focus on poor-performing buildings and subsystems, and enables highperforming buildings to participate in various certification programs that can lead to higher occupancy rates, rents, and property values. Through analysis chiefly utilizing the Georgia Tech version of the National Energy Modeling System (GT-NEMS), updating input discount rates and the impact of benchmarking shows a reduction in energy consumption of 5.6 % in 2035 relative to the Reference case projection of the Annual Energy Outlook 2011. It is estimated that the benefits of a national benchmarking policy would outweigh the costs, both to the private sector and society broadly. However, its geographical impact would vary substantially, with the South Atlantic and New England regions benefiting the most. By reducing the discount rates used to evaluate energy-efficiency investments, benchmarking would increase the purchase of energy-efficient equipment thereby reducing energy bills, CO2 emissions, and conventional air pollution. *Corresponding author:

Matt Cox; Marilyn A. Brown; Xiaojing Sun; Dr. Marilyn; A. Brown; D. M. Smith Building

2012-01-01T23:59:59.000Z

378

Action-Oriented Benchmarking: Using the CEUS Database to Benchmarking...  

NLE Websites -- All DOE Office Websites (Extended Search)

2008 Authors Mathew, Paul A., Evan Mills, Norman Bourassa, and Martha Brook Journal Energy Engineering Call Number LBNL-502E Abstract The 2006 Commercial End Use Survey (CEUS)...

379

Storage-Intensive Supercomputing Benchmark Study  

SciTech Connect

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

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

2007-10-30T23:59:59.000Z

380

Benchmarking ENDF/B-VII.1, JENDL-4.0 and JEFF-3.1.1 with MCNP6  

Science Conference Proceedings (OSTI)

Recent releases of three major world nuclear reaction data libraries, ENDF/B-VII.1, JENDL-4.0, and JEFF-3.1.1, have been tested extensively using benchmark calculations. The calculations were performed with the latest release of the continuous energy Monte Carlo neutronics code MCNP, i.e. MCNP6. Three types of benchmarks were used, viz. criticality safety benchmarks, (fusion) shielding benchmarks, and reference systems for which the effective delayed neutron fraction is reported. For criticality safety, more than 2000 benchmarks from the International Handbook of Criticality Safety Benchmark Experiments were used. Benchmarks from all categories were used, ranging from low-enriched uranium, compound fuel, thermal spectrum ones (LEU-COMP-THERM), to mixed uranium-plutonium, metallic fuel, fast spectrum ones (MIX-MET-FAST). For fusion shielding many benchmarks were based on IAEA specifications for the Oktavian experiments (for Al, Co, Cr, Cu, LiF, Mn, Mo, Si, Ti, W, Zr), Fusion Neutronics Source in Japan (for Be, C, N, O, Fe, Pb), and Pulsed Sphere experiments at Lawrence Livermore National Laboratory (for {sup 6}Li, {sup 7}Li, Be, C, N, O, Mg, Al, Ti, Fe, Pb, D2O, H2O, concrete, polyethylene and teflon). The new functionality in MCNP6 to calculate the effective delayed neutron fraction was tested by comparison with more than thirty measurements in widely varying systems. Among these were measurements in the Tank Critical Assembly (TCA in Japan) and IPEN/MB-01 (Brazil), both with a thermal spectrum, two cores in Masurca (France) and three cores in the Fast Critical Assembly (FCA, Japan), all with fast spectra. The performance of the three libraries, in combination with MCNP6, is shown to be good. The results for the LEU-COMP-THERM category are on average very close to the benchmark value. Also for most other categories the results are satisfactory. Deviations from the benchmark values do occur in certain benchmark series, or in isolated cases within benchmark series. Such instances can often be related to nuclear data for specific non-fissile elements, such as C, Fe, or Gd. Indications are that the intermediate and mixed spectrum cases are less well described. The results for the shielding benchmarks are generally good, with very similar results for the three libraries in the majority of cases. Nevertheless there are, in certain cases, strong deviations between calculated and benchmark values, such as for Co and Mg. Also, the results show discrepancies at certain energies or angles for e.g. C, N, O, Mo, and W. The functionality of MCNP6 to calculate the effective delayed neutron fraction yields very good results for all three libraries.

Marck, Steven C. van der, E-mail: vandermarck@nrg.eu [Nuclear Research and Consultancy Group NRG, P.O. Box, 1755 ZG Petten (Netherlands)

2012-12-15T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Energy efficient data centers  

E-Print Network (OSTI)

operators, reliable building energy benchmark informationbenchmark the relative energy intensity of the various load components in a data center, several different, and often confusing, building

Tschudi, William; Xu, Tengfang; Sartor, Dale; Koomey, Jon; Nordman, Bruce; Sezgen, Osman

2004-01-01T23:59:59.000Z

382

Alunorte Global Energy Efficiency  

Science Conference Proceedings (OSTI)

The plant has a specific energy consumption of less than 8 GJ per ton of alumina which defines the world-wide benchmark for energy efficiency in alumina ...

383

Strong quantitative benchmarking of quantum optical devices  

E-Print Network (OSTI)

Quantum communication devices, such as quantum repeaters, quantum memories, or quantum channels, are unavoidably exposed to imperfections. However, the presence of imperfections can be tolerated, as long as we can verify such devices retain their quantum advantages. Benchmarks based on witnessing entanglement have proven useful for verifying the true quantum nature of these devices. The next challenge is to characterize how strongly a device is within the quantum domain. We present a method, based on entanglement measures and rigorous state truncation, which allows us to characterize the degree of quantumness of optical devices. This method serves as a quantitative extension to a large class of previously-known quantum benchmarks, requiring no additional information beyond what is already used for the non-quantitative benchmarks.

Nathan Killoran; Norbert Lütkenhaus

2011-02-16T23:59:59.000Z

384

Towards Scalable Benchmarks for Mass Storage Systems  

E-Print Network (OSTI)

While mass storage systems have been used for several decades to store large quantities of scientific data, there has been little work on devising standard ways of measuring them. Each system is hand-tuned using parameters that seem to work best, but it is difficult to gauge the potential effect of similar changes on other systems. The proliferation of storage management software and policies has made it difficult for users to make the best choices for their own systems. The introduction of benchmarks will make it possible to gather standard performance measurements across disparate systems, allowing users to make intelligent choices of hardware, software, and algorithms for their mass storage system. This paper presents guidelines for the design of a mass storage system benchmark suite, along with preliminary suggestions for programs to be included. The benchmarks will measure both peak and sustained performance of the system as well as predicting both short-term and long-term behav...

Ethan L. Miller

1996-01-01T23:59:59.000Z

385

Investigating the limits of randomized benchmarking protocols  

E-Print Network (OSTI)

In this paper, we analyze the performance of randomized benchmarking protocols on gate sets under a variety of realistic error models that include systematic rotations, amplitude damping, leakage to higher levels, and 1/f noise. We find that, in almost all cases, benchmarking provides better than a factor-of-two estimate of average error rate, suggesting that randomized benchmarking protocols are a valuable tool for verification and validation of quantum operations. In addition, we derive new models for fidelity decay curves under certain types of non-Markovian noise models such as 1/f and leakage errors. We also show that, provided the standard error of the fidelity measurements is small, only a small number of trials are required for high confidence estimation of gate errors.

Jeffrey M. Epstein; Andrew W. Cross; Easwar Magesan; Jay M. Gambetta

2013-08-13T23:59:59.000Z

386

Strong quantitative benchmarking of quantum optical devices  

Science Conference Proceedings (OSTI)

Quantum communication devices, such as quantum repeaters, quantum memories, or quantum channels, are unavoidably exposed to imperfections. However, the presence of imperfections can be tolerated, as long as we can verify that such devices retain their quantum advantages. Benchmarks based on witnessing entanglement have proven useful for verifying the true quantum nature of these devices. The next challenge is to characterize how strongly a device is within the quantum domain. We present a method, based on entanglement measures and rigorous state truncation, which allows us to characterize the degree of quantumness of optical devices. This method serves as a quantitative extension to a large class of previously known quantum benchmarks, requiring no additional information beyond what is already used for the nonquantitative benchmarks.

Killoran, N.; Luetkenhaus, N. [Institute for Quantum Computing and Department of Physics and Astronomy, University of Waterloo, Waterloo, N2L 3G1 (Canada)

2011-05-15T23:59:59.000Z

387

Argonne TTRDC - APRF - Research Activities - Benchmarking PHEVs  

NLE Websites -- All DOE Office Websites (Extended Search)

APRF Research Activities: Benchmarking of Plug-In Hybrid Electric Vehicles (PHEVs) Argonne engineer Mike Duoba Engineer Mike Duoba evaluates a vehicle in Argonne's APRF. Now that plug-in hybrid electric vehicles (PHEVs) are emerging, it is important to test, characterize and benchmark the wide variety of PHEV designs and control strategies. In the APRF, engineers benchmark PHEVs by combining testing and data analysis to characterize the vehicles' efficiency, performance, and emissions. The vehicles are evaluated over many cycles to find control strategies under a variety of operating conditions. Argonne researchers test PHEVs over cold-start and hot-start urban dynamometer driving schedule (UDDS) and highway cycles in both charge-depletion and charge-sustaining operation. Full-charge tests, as

388

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

E-Print Network (OSTI)

use rather than peak energy use--The New Mexico Experience.of Energy Conservative Design, University of New Mexico,

DeRoos, R.L.

2011-01-01T23:59:59.000Z

389

Performance Benchmarks for I/S in Corporations (1988-1995)  

E-Print Network (OSTI)

ANNUAL REPORT PERFORMANCE BENCHMARKS FOR I/S IN CORPORATTONSIrvine PERFORMANCE BENCHMARKS F O R INFORMATION S Y S T E MIrvine PERFORMANCE BENCHMARKS FOR INFORMATION SYSTEMS IN

Kraemer, Kenneth L.; Dunkle, Debbie

1997-01-01T23:59:59.000Z

390

Performance Benchmarks for I/S in Corporations (1988-1994)  

E-Print Network (OSTI)

ANNUAL REPORT PERFORMANCE BENCHMARKS FOR I/S IN CORPORATIONSIrvine PERFORMANCE BENCHMARKS FOR INFORMATION SYSTEMS INServices PERFORMANCE BENCHMARKS FOR INFORMATION SYSTEMS IN

Kraemer, Kenneth L.; Gurbaxani, Viijay; Vitalari, Nicholas; Dunkle, Debbie

1995-01-01T23:59:59.000Z

391

Assessment of Applying the PMaC Prediction Framework to NERSC-5 SSP Benchmarks  

E-Print Network (OSTI)

Framework to NERSC-5 SSP Benchmarks Summer 2006 Author: Noeldepends on application benchmarks, in particular the NERSCvendors are asked to run SSP benchmarks at various scales to

Keen, Noel

2008-01-01T23:59:59.000Z

392

Science Driven Supercomputing Architectures: Analyzing Architectural Bottlenecks with Applications and Benchmark Probes  

E-Print Network (OSTI)

with Applications and Benchmark Probes The Berkeleydevelopment of adequate benchmarks for identification ofapplication kernels; and 3) Benchmarks to measure key system

2005-01-01T23:59:59.000Z

393

Performance Benchmarks for I/S in Corporations (1990-1999)  

E-Print Network (OSTI)

ANNUAL REPORT PERFORMANCE BENCHMARKS FOR I/S IN CORPORATIONSIrvine PERFORMANCE BENCHMARKS FOR INFORMATION SYSTEMS INiv- PERFORMANCE BENCHMARKS FOR INFORMATION SYSTEMS IN

Kraemer, Kenneth L.; Gurbaxani, Viijay; Dunkle, Debbie

2000-01-01T23:59:59.000Z

394

Experimental power density distribution benchmark in the TRIGA Mark II reactor  

Science Conference Proceedings (OSTI)

In order to improve the power calibration process and to benchmark the existing computational model of the TRIGA Mark II reactor at the Josef Stefan Inst. (JSI), a bilateral project was started as part of the agreement between the French Commissariat a l'energie atomique et aux energies alternatives (CEA) and the Ministry of higher education, science and technology of Slovenia. One of the objectives of the project was to analyze and improve the power calibration process of the JSI TRIGA reactor (procedural improvement and uncertainty reduction) by using absolutely calibrated CEA fission chambers (FCs). This is one of the few available power density distribution benchmarks for testing not only the fission rate distribution but also the absolute values of the fission rates. Our preliminary calculations indicate that the total experimental uncertainty of the measured reaction rate is sufficiently low that the experiments could be considered as benchmark experiments. (authors)

Snoj, L.; Stancar, Z.; Radulovic, V.; Podvratnik, M.; Zerovnik, G.; Trkov, A. [Josef Stefan Inst., Jamova cesta 39, SI-1000 Ljubljana (Slovenia); Barbot, L.; Domergue, C.; Destouches, C. [CEA DEN, DER, Instrumentation Sensors and Dosimetry laboratory Cadarache, F-13108 Saint-Paul-Lez-Durance (France)

2012-07-01T23:59:59.000Z

395

Benchmarking Non-Hardware Balance of System (Soft) Costs for...  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking Non-Hardware Balance of System (Soft) Costs for U.S. Photovoltaic Systems Using a Data-Driven Analysis from PV Installer Survey Results Title Benchmarking Non-Hardware...

396

Benchmarking Music Information Retrieval Systems Department of Electronic Engineering  

E-Print Network (OSTI)

Benchmarking Music Information Retrieval Systems Josh Reiss Department of Electronic Engineering and effective benchmarking system for music information retrieval (MIR) systems. This will serve the multiple surrounding retrieval of audio in test collections. 1. INTRODUCTION The Music Information Retrieval (MIR

Reiss, Josh

397

A scalability benchmark suite for Erlang/OTP  

Science Conference Proceedings (OSTI)

Programming language implementers rely heavily on benchmarking for measuring and understanding performance of algorithms, architectural designs, and trade-offs between alternative implementations of compilers, runtime systems, and virtual machine components. ... Keywords: benchmarking, erlang, multicore, scalability

Stavros Aronis; Nikolaos Papaspyrou; Katerina Roukounaki; Konstantinos Sagonas; Yiannis Tsiouris; Ioannis E. Venetis

2012-09-01T23:59:59.000Z

398

DOE Solar Decathlon: California Polytechnic State University: Benchmarking  

NLE Websites -- All DOE Office Websites (Extended Search)

Cal Poly solar-powered house on the National Mall for Solar Decathlon 2005. Cal Poly solar-powered house on the National Mall for Solar Decathlon 2005. Enlarge image The exterior of Cal Poly's house features a large deck and overhang that shades the south-facing windows and doors. (Credit: Chris Gunn/U.S. Department of Energy Solar Decathlon) Who: California Polytechnic State University What: Solar Cal Poly Where: California Polytechnic State University 1 Grand Ave. San Luis Obispo, CA 93407 Map This House Public tours: Contact the Cal Poly Renewable Energy Club at 224-805-7999 for tour information. Solar Decathlon 2005 California Polytechnic State University: Benchmarking Solar Performance The solar-powered house designed by California Polytechnic State University returned to San Luis Obispo after placing third overall in the U.S. Department of Energy Solar Decathlon 2005. It was reconstructed on campus

399

Comparative Benchmarks of full QCD Algorithms  

E-Print Network (OSTI)

We report performance benchmarks for several algorithms that we have used to simulate the Schr"odinger functional with two flavors of dynamical quarks. They include hybrid and polynomial hybrid Monte Carlo with preconditioning. An appendix describes a method to deal with autocorrelations for nonlinear functions of primary observables as they are met here due to reweighting.

Roberto Frezzotti; Martin Hasenbusch; Jochen Heitger; Karl Jansen; Ulli Wolff

2000-09-20T23:59:59.000Z

400

Benchmark study of TRIPOLI-4 through experiment and MCNP codes  

Science Conference Proceedings (OSTI)

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

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

2011-07-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

NASA BENCHMARKS COMMUNICATIONS Assessment Plan NNSA/Nevada Site...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Assessment Plan NNSANevada Site Office Facility Representative Division NASA BENCHMARKS COMMUNICATIONS Assessment Plan NNSANevada Site Office Facility Representative...

402

A Numerical Benchmark on the Prediction of Macrosegregation in ...  

Science Conference Proceedings (OSTI)

About this Abstract. Meeting, 2011 TMS Annual Meeting & Exhibition. Symposium , Frontiers in Solidification Science. Presentation Title, A Numerical Benchmark ...

403

The Problem with the Linpack Benchmark Matrix Generator  

E-Print Network (OSTI)

We characterize the matrix sizes for which the Linpack Benchmark matrix generator constructs a matrix with identical columns.

Dongarra, Jack

2008-01-01T23:59:59.000Z

404

Conventional Benchmarks as a Sample of the Performance Spectrum  

Science Conference Proceedings (OSTI)

Most benchmarks are smaller than actual application programs. One reason is to improve benchmark universality by demanding resources every computer is likely to have. However, users dynamically increase the size of application programs to match the power ... Keywords: HINT, benchmarks, hierarchical memory, performance analysis

John L. Gustafson; Rajat Todi

1999-05-01T23:59:59.000Z

405

Simulation-based assessment of the energy savings benefits of integrated control in office buildings  

E-Print Network (OSTI)

building energy analysis using EnergyPlus. The benchmarkenergy savings benefits of integrated control using the medium office building benchmark

Hong, T.

2011-01-01T23:59:59.000Z

406

ENERGY STAR Focus on Energy Efficiency in Metalcasting | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Metalcasting Metalcasting Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Get started with ENERGY STAR Make the business case Build an energy management program Measure, track, and benchmark Tools for benchmarking energy management practices Tools for tracking and benchmarking facility energy performance ENERGY STAR Energy Performance Indicators for plants

407

DIRECTORY OF ENERGY EFFICIENCY PROGRAMS LEVERAGING ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

DIRECTORY OF ENERGY EFFICIENCY PROGRAMS LEVERAGING ENERGY STAR (UPDATED JANUARY 20, 2012) Utilities and state program sponsors across the country are incorporating benchmarking...

408

RTJBench: A RealTime Java Benchmarking Framework  

E-Print Network (OSTI)

Abstract. The paper gives an overview of RTJBench, a framework designed to assist in the task of benchmarking programs written in the Real-Time Specification for Java, but with potentially more general applicability. RTJBench extends the JUnit framework for unit testing of Java applications with tools for real-time environment configuration, simple data processing and configurable graphical presentation services. We present design principles of RTJBench and give an example of a benchmarking suite we have been using for daily regression benchmarking of the Open Virtual Machine. Keywords: Benchmarking, regression benchmarking, Real-Time Specification for Java

Marek Prochazka; Andrey Madan; Jan Vitek; Wenchang Liu

2004-01-01T23:59:59.000Z

409

NETL: News Release - GE Sets Benchmarks for Fuel Cell Performance  

NLE Websites -- All DOE Office Websites (Extended Search)

August 8, 2005 August 8, 2005 GE Sets Benchmarks for Fuel Cell Performance Achievements Move Efficient, Clean SOFC Technology Closer to Mainstream Energy Markets TORRANCE, CA - In the race to speed solid oxide fuel cell (SOFC) technology out of niche markets and into widespread commercial use, GE Hybrid Power Generation Systems has kicked fuel cell performance into high gear. Recent advancements have dramatically improved baseline cell performance and accelerate GE's prospects for achieving the system efficiency and cost objectives of DOE's Solid State Energy Alliance (SECA) program. Packing more power into smaller volumes is one of the breakthroughs needed to reduce the cost and expand the use of efficient, environmentally friendly fuel cells. But increasing power density isn't the only goal; as power density increases, fuel cells must continue to efficiently and reliably convert fuel to electric power.

410

Simulation benchmarks for low-pressure plasmas: capacitive discharges  

E-Print Network (OSTI)

Benchmarking is generally accepted as an important element in demonstrating the correctness of computer simulations. In the modern sense, a benchmark is a computer simulation result that has evidence of correctness, is accompanied by estimates of relevant errors, and which can thus be used as a basis for judging the accuracy and efficiency of other codes. In this paper, we present four benchmark cases related to capacitively coupled discharges. These benchmarks prescribe all relevant physical and numerical parameters. We have simulated the benchmark conditions using five independently developed particle-in-cell codes. We show that the results of these simulations are statistically indistinguishable, within bounds of uncertainty that we define. We therefore claim that the results of these simulations represent strong benchmarks, that can be used as a basis for evaluating the accuracy of other codes. These other codes could include other approaches than particle-in-cell simulations, where benchmarking could exa...

Turner, M M; Donko, Z; Eremin, D; Kelly, S J; Lafleur, T; Mussenbrock, T

2012-01-01T23:59:59.000Z

411

Characterizing Quantum Gates via Randomized Benchmarking  

E-Print Network (OSTI)

We describe and expand upon the scalable randomized benchmarking protocol proposed in Phys. Rev. Lett. 106, 180504 (2011) which provides a method for benchmarking quantum gates and estimating the gate-dependence of the noise. The protocol allows the noise to have weak time and gate-dependence, and we provide a sufficient condition for the applicability of the protocol in terms of the average variation of the noise. We discuss how state preparation and measurement errors are taken into account and provide a complete proof of the scalability of the protocol. We establish a connection in special cases between the error rate provided by this protocol and the error strength measured using the diamond norm distance.

Easwar Magesan; Jay M. Gambetta; Joseph Emerson

2011-09-30T23:59:59.000Z

412

Parton Distribution Benchmarking with LHC Data  

E-Print Network (OSTI)

We present a detailed comparison of the most recent sets of NNLO PDFs from the ABM, CT, HERAPDF, MSTW and NNPDF collaborations. We compare parton distributions at low and high scales and parton luminosities relevant for LHC phenomenology. We study the PDF dependence of LHC benchmark inclusive cross sections and differential distributions for electroweak boson and jet production in the cases in which the experimental covariance matrix is available. We quantify the agreement between data and theory by computing the chi2 for each data set with all the various PDFs. PDF comparisons are performed consistently for common values of the strong coupling. We also present a benchmark comparison of jet production at the LHC, comparing the results from various available codes and scale settings. Finally, we discuss the implications of the updated NNLO PDF sets for the combined PDF+alphaS uncertainty in the gluon fusion Higgs production cross section.

Richard D. Ball; Stefano Carrazza; Luigi Del Debbio; Stefano Forte; Jun Gao; Nathan Hartland; Joey Huston; Pavel Nadolsky; Juan Rojo; Daniel Stump; Robert S. Thorne; C. -P. Yuan

2012-11-21T23:59:59.000Z

413

Benchmark West Texas Intermediate crude assayed  

Science Conference Proceedings (OSTI)

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

Rhodes, A.K.

1994-08-15T23:59:59.000Z

414

A Simplified HTTR Diffusion Theory Benchmark  

SciTech Connect

The Georgia Institute of Technology (GA-Tech) recently developed a transport theory benchmark based closely on the geometry and the features of the HTTR reactor that is operational in Japan. Though simplified, the benchmark retains all the principal physical features of the reactor and thus provides a realistic and challenging test for the codes. The purpose of this paper is twofold. The first goal is an extension of the benchmark to diffusion theory applications by generating the additional data not provided in the GA-Tech prior work. The second goal is to use the benchmark on the HEXPEDITE code available to the INL. The HEXPEDITE code is a Green’s function-based neutron diffusion code in 3D hexagonal-z geometry. The results showed that the HEXPEDITE code accurately reproduces the effective multiplication factor of the reference HELIOS solution. A secondary, but no less important, conclusion is that in the testing against actual HTTR data of a full sequence of codes that would include HEXPEDITE, in the apportioning of inevitable discrepancies between experiment and models, the portion of error attributable to HEXPEDITE would be expected to be modest. If large discrepancies are observed, they would have to be explained by errors in the data fed into HEXPEDITE. Results based on a fully realistic model of the HTTR reactor are presented in a companion paper. The suite of codes used in that paper also includes HEXPEDITE. The results shown here should help that effort in the decision making process for refining the modeling steps in the full sequence of codes.

Rodolfo M. Ferrer; Abderrafi M. Ougouag; Farzad Rahnema

2010-10-01T23:59:59.000Z

415

MESURE Tool to benchmark Java Card platforms  

E-Print Network (OSTI)

The advent of the Java Card standard has been a major turning point in smart card technology. With the growing acceptance of this standard, understanding the performance behavior of these platforms is becoming crucial. To meet this need, we present in this paper a novel benchmarking framework to test and evaluate the performance of Java Card platforms. MESURE tool is the first framework which accuracy and effectiveness are independent from the particular Java Card platform tested and CAD used.

Bouzefrane, Samia; Paradinas, Pierre

2009-01-01T23:59:59.000Z

416

A PWR Thorium Pin Cell Burnup Benchmark  

SciTech Connect

As part of work to evaluate the potential benefits of using thorium in LWR fuel, a thorium fueled benchmark comparison was made in this study between state-of-the-art codes, MOCUP (MCNP4B + ORIGEN2), and CASMO-4 for burnup calculations. The MOCUP runs were done individually at MIT and INEEL, using the same model but with some differences in techniques and cross section libraries. Eigenvalue and isotope concentrations were compared on a PWR pin cell model up to high burnup. The eigenvalue comparison as a function of burnup is good: the maximum difference is within 2% and the average absolute difference less than 1%. The isotope concentration comparisons are better than a set of MOX fuel benchmarks and comparable to a set of uranium fuel benchmarks reported in the literature. The actinide and fission product data sources used in the MOCUP burnup calculations for a typical thorium fuel are documented. Reasons for code vs code differences are analyzed and discussed.

Weaver, Kevan Dean; Zhao, X.; Pilat, E. E; Hejzlar, P.

2000-05-01T23:59:59.000Z

417

Introduction to the HPC Challenge Benchmark Suite  

Science Conference Proceedings (OSTI)

The HPC Challenge benchmark suite has been released by the DARPA HPCS program to help define the performance boundaries of future Petascale computing systems. HPC Challenge is a suite of tests that examine the performance of HPC architectures using kernels with memory access patterns more challenging than those of the High Performance Linpack (HPL) benchmark used in the Top500 list. Thus, the suite is designed to augment the Top500 list, providing benchmarks that bound the performance of many real applications as a function of memory access characteristics e.g., spatial and temporal locality, and providing a framework for including additional tests. In particular, the suite is composed of several well known computational kernels (STREAM, HPL, matrix multiply--DGEMM, parallel matrix transpose--PTRANS, FFT, RandomAccess, and bandwidth/latency tests--b{sub eff}) that attempt to span high and low spatial and temporal locality space. By design, the HPC Challenge tests are scalable with the size of data sets being a function of the largest HPL matrix for the tested system.

Luszczek, Piotr; Dongarra, Jack J.; Koester, David; Rabenseifner,Rolf; Lucas, Bob; Kepner, Jeremy; McCalpin, John; Bailey, David; Takahashi, Daisuke

2005-04-25T23:59:59.000Z

418

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

E-Print Network (OSTI)

Birch, E. 1990. “Energy Savings in Cement Kiln Systems,”11 C. Benchmarking and Energy-Saving Tool for Cement (BEST-26 B. Benchmarking and Energy-Saving Tool for Cement (BEST-

Price, Lynn

2010-01-01T23:59:59.000Z

419

Featured research and reports | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

are based on data from more than 35,000 buildings that benchmarked regularly from 2008 - 2011. The series also presents general trends in energy and water benchmarking, as well as...

420

Pages that link to "Property:Language" | Open Energy Information  

Open Energy Info (EERE)

7.0 ( links) Electricity Market Complex Adaptive System ( links) Retrofit Energy Savings Estimation Model ( links) RETFinance ( links) Benchmarking...

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

CoNNECT: Analytics for Energy Consumption Data  

• Ability to correlate data with weather patterns • Ability to benchmark consumption with peers – ... solar energy potential on individual building ...

422

Analytical Benchmark Test Set for Criticality Code Verification  

Science Conference Proceedings (OSTI)

A number of published numerical solutions to analytic eigenvalue (k{sub eff}) and eigenfunction equations are summarized for the purpose of creating a criticality verification benchmark test set. The 75-problem test set allows the user to verify the correctness of a criticality code for infinite medium and simple geometries in one- and two-energy groups, one- and two-media, and both isotropic and anisotropic neutron scattering. The problem specifications will produce both k{sub eff} = 1 and the quoted k{sub {infinity}} to at least five decimal places. Additional uses of the test set for code verification are also discussed. A list of 45 references and an appendix with k{sub {infinity}} derivations is also included.

Avneet Sood; D. K. Parsons; R. A. Forster

1999-07-01T23:59:59.000Z

423

Building Green in Greensburg: Kiowa County Memorial Hospital  

Energy.gov (U.S. Department of Energy (DOE))

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

424

Building Energy Software Tools Directory: EnerCop Energy Benchmarking...  

NLE Websites -- All DOE Office Websites (Extended Search)

organizations standardized measures of business performance such as production volume, number of transactions, or customers, and not simply by comparing MBtuft2, as is the...

425

ABM11 parton distributions and benchmarks  

E-Print Network (OSTI)

We present a determination of the nucleon parton distribution functions (PDFs) and of the strong coupling constant $\\alpha_s$ at next-to-next-to-leading order (NNLO) in QCD based on the world data for deep-inelastic scattering and the fixed-target data for the Drell-Yan process. The analysis is performed in the fixed-flavor number scheme for $n_f=3,4,5$ and uses the $\\bar{MS}$ scheme for $\\alpha_s$ and the heavy quark masses. The fit results are compared with other PDFs and used to compute the benchmark cross sections at hadron colliders to the NNLO accuracy.

S. Alekhin; J. Bluemlein; S. -O. Moch

2012-08-07T23:59:59.000Z

426

Robust randomized benchmarking of quantum processes  

E-Print Network (OSTI)

We describe a simple randomized benchmarking protocol for quantum information processors and obtain a sequence of models for the observable fidelity decay as a function of a perturbative expansion of the errors. We are able to prove that the protocol provides an efficient and reliable estimate of an average error-rate for a set operations (gates) under a general noise model that allows for both time and gate-dependent errors. We determine the conditions under which this estimate remains valid and illustrate the protocol through numerical examples.

Easwar Magesan; J. M. Gambetta; Joseph Emerson

2010-09-19T23:59:59.000Z

427

New Benchmark Instances for the Steiner Problem in Graphs  

E-Print Network (OSTI)

Sep 26, 2001 ... New Benchmark Instances for the Steiner Problem in Graphs. Isabel Rosseti ( rosseti ***at*** inf.puc-rio.br) Marcus Poggi de Aragăo (poggi ...

428

Revised Benchmark Problem for modeling of metal flow and metal ...  

Science Conference Proceedings (OSTI)

The literature is scarce when it comes to benchmark problems for MHD flow in a cell and those cases which are available often suffer from insufficient level of ...

429

Benchmark Results for TraPPE Carbon Dioxide  

Science Conference Proceedings (OSTI)

Benchmark results for TraPPE Carbon Dioxide. The purpose of these pages is to provide some explicit results from Monte ...

2013-09-20T23:59:59.000Z

430

NERSC-6 Workload Analysis and Benchmark Selection Process  

E-Print Network (OSTI)

Computational Characteristics for NERSC?6 Benchmarks. *CI isScience-Driven Computing: NERSC’s Plan for 2006–2010,”Erich Strohmaier, “The NERSC Sustained System Performance (

Antypas, Katie

2008-01-01T23:59:59.000Z

431

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

E-Print Network (OSTI)

include benchmarking, energy audits, development of energyreporting system, conduct energy audits, conduct training,auditing, an example of energy audits in a power plant, the

Price, Lynn; Wang, Xuejun

2007-01-01T23:59:59.000Z

432

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

SciTech Connect

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

John D. Bess

2012-05-01T23:59:59.000Z

433

VVER-440 dosimetry and neutron spectrum benchmark  

SciTech Connect

Light Water Reactor (LWR) benchmark experiments performed in the United States under the Surveillance Dosimetry Improvement Program (SDIP), in general, reported measured reaction rates and not neutron flux spectrum. The VVER-440 benchmark experiments, using a combination of spherical hydrogen-filled proportional counters and a stilbene scintillator detector, were measurements that provided a direct verification of the transport neutron flux spectrum. The original SAILOR cross-section library from ENDF/B-IV were used, except that the iron, hydrogen, and oxygen values from ENDF/B-VI were inserted. A linear-least-squares analysis showed that the average difference between calculations and measurements below 10 MeV was (a) less than 6% at the surveillance position; (b) less than 5% at the pressure vessel (PV) inner surface; (c) less than 6% at 1/3 thickness into the PV (1/3 T); (d) less than 17% at 2/3 thickness into the PV (2/3 T); and (e) less than 24% at the PV outer surface.

Sajot, E. [Louisiana State Univ., Baton Rouge, LA (United States). Nuclear Science Center; Kam, F.B.K. [Oak Ridge National Lab., TN (United States)

1993-11-01T23:59:59.000Z

434

Updated Post-WMAP Benchmarks for Supersymmetry  

E-Print Network (OSTI)

We update a previously-proposed set of supersymmetric benchmark scenarios, taking into account the precise constraints on the cold dark matter density obtained by combining WMAP and other cosmological data, as well as the LEP and b -> s gamma constraints. We assume that R parity is conserved and work within the constrained MSSM (CMSSM) with universal soft supersymmetry-breaking scalar and gaugino masses m_0 and m_1/2. In most cases, the relic density calculated for the previous benchmarks may be brought within the WMAP range by reducing slightly m_0, but in two cases more substantial changes in m_0 and m_1/2 are made. Since the WMAP constraint reduces the effective dimensionality of the CMSSM parameter space, one may study phenomenology along `WMAP lines' in the (m_1/2, m_0) plane that have acceptable amounts of dark matter. We discuss the production, decays and detectability of sparticles along these lines, at the LHC and at linear e+ e- colliders in the sub- and multi-TeV ranges, stressing the complementarity of hadron and lepton colliders, and with particular emphasis on the neutralino sector. Finally, we preview the accuracy with which one might be able to predict the density of supersymmetric cold dark matter using collider measurements.

M. Battaglia; A. De Roeck; J. Ellis; F. Gianotti; K. A. Olive; L. Pape

2003-06-23T23:59:59.000Z

435

Building Energy Information Systems: State of the Technology and User Case Studies  

E-Print Network (OSTI)

building- level energy performance with respect to California campus benchmarks.building-type normalized energy use intensity [Brown 2002] Table 3: UC Merced metrics, benchmarks,Benchmarks Energy ICT ElServer Weather and sales normalized kWh/sf M&V for energy saving measures Building and

Granderson, Jessica

2010-01-01T23:59:59.000Z

436

The Snowmass Points and Slopes: Benchmarks for SUSY Searches  

E-Print Network (OSTI)

The ``Snowmass Points and Slopes'' (SPS) are a set of benchmark points and parameter lines in the MSSM parameter space corresponding to different scenarios in the search for Supersymmetry at present and future experiments. This set of benchmarks was agreed upon at the 2001 ``Snowmass Workshop on the Future of Particle Physics'' as a consensus based on different existing proposals.

B. C. Allanach; M. Battaglia; G. A. Blair; M. Carena; A. De Roeck; A. Dedes; A. Djouadi; D. Gerdes; N. Ghodbane; J. Gunion; H. E. Haber; T. Han; S. Heinemeyer; J. L. Hewett; I. Hinchliffe; J. Kalinowski; H. E. Logan; S. P. Martin; H. -U. Martyn; K. T. Matchev; S. Moretti; F. Moortgat; G. Moortgat-Pick; S. Mrenna; U. Nauenberg; Y. Okada; K. A. Olive; W. Porod; M. Schmitt; S. Su; C. E. M. Wagner; G. Weiglein; J. Wells; G. W. Wilson; P. Zerwas

2002-02-25T23:59:59.000Z

437

Synthetic benchmark for modeling flow in 3D fractured media  

Science Conference Proceedings (OSTI)

Intensity and localization of flows in fractured media have promoted the development of a large range of different modeling approaches including Discrete Fracture Networks, pipe networks and equivalent continuous media. While benchmarked usually within ... Keywords: Benchmark, Fractured media, Single-phase flow, Stochastic model

Jean-Raynald De Dreuzy; GéRaldine Pichot; Baptiste Poirriez; Jocelyne Erhel

2013-01-01T23:59:59.000Z

438

From Aardvark to Zorro: A Benchmark for Mammal Image Classification  

Science Conference Proceedings (OSTI)

Current object recognition systems aim at recognizing numerous object classes under limited supervision conditions. This paper provides a benchmark for evaluating progress on this fundamental task. Several methods have recently proposed to utilize the ... Keywords: Animals, Annotation, Benchmark, Database, Dataset, Machine learning, Mammals, Multiclass, Natural images, Object recognition, Svm

Michael Fink; Shimon Ullman

2008-05-01T23:59:59.000Z

439

Precision benchmark calculations for four particles at unitarity  

E-Print Network (OSTI)

The unitarity limit describes interacting particles where the range of the interaction is zero and the scattering length is infinite. We present precision benchmark calculations for two-component fermions at unitarity using three different ab initio methods: Hamiltonian lattice formalism using iterated eigenvector methods, Euclidean lattice formalism with auxiliary-field projection Monte Carlo, and continuum diffusion Monte Carlo with fixed and released nodes. We have calculated the ground state energy of the unpolarized four-particle system in a periodic cube as a dimensionless fraction of the ground state energy for the non-interacting system. We obtain values 0.211(2) and 0.210(2) using two different Hamiltonian lattice representations, 0.206(9) using Euclidean lattice, and an upper bound of 0.212(2) from fixed-node diffusion Monte Carlo. Released-node calculations starting from the fixed-node result yield a decrease of less than 0.002 over a propagation of 0.4/E_F in Euclidean time, where E_F is the Fermi energy. We find good agreement among all three ab initio methods.

Shahin Bour; Xin Li; Dean Lee; Ulf-G. Meißner; Lubos Mitas

2011-04-12T23:59:59.000Z

440

Today in Energy - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, manufacturing, and transportation. Coal. ... (CAPP) is the nation's benchmark price for eastern coal. July 26, 2012

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Today in Energy - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Energy use in homes, commercial buildings, manufacturing, and transportation. Coal. ... (CAPP) is the nation's benchmark price for eastern coal. May 31, 2011

442

Benchmarking Distributed Generation Cost of Electricity and Characterization of Green House Gas Emission  

Science Conference Proceedings (OSTI)

Understanding the economic competitiveness and green house gas (GHG) footprint of all energy supply-side options has been identified by EPRI advisors as a key priority. This project benchmarks the cost of electricity and characterizes the GHG footprint of distributed generation (DG) options in various applications. DG technologies include small gas turbines, spark-ignited and diesel internal combustion engines, micro turbines, several types of fuel cells, Stirling engines, and photovoltaic systems.

2009-03-26T23:59:59.000Z

443

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

SciTech Connect

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

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

2006-06-01T23:59:59.000Z

444

HPC Global File System Performance Analysis Using A Scientific-Application Derived Benchmark  

E-Print Network (OSTI)

Scienti?c-Application Derived Benchmark. In Proc. SC07: HighMonterey, CA, April 11-14 2005. [9] Flash io benchmark.www-unix.mcs.anl.gov/pio-benchmark/. [10] W. Gropp, E. Lusk,

Borrill, Julian

2009-01-01T23:59:59.000Z

445

Do Benchmarks Matter? Do Measures Matter? A Study of Monthly Mutual Fund Returns  

E-Print Network (OSTI)

USING 279 MUTUAL FUNDS Benchmark: Time Series t-statistic:FOR 3 MEASURES WITH 4 BENCHMARKS USING 109 PASSIVE TEST120 MONTHLY OBSERVATIONS BENCHMARK: EW INDEX 10 FACTORS P8

Grinblatt, Mark; Titman, Sheridan

1991-01-01T23:59:59.000Z

446

Quantum benchmarks for pure single-mode Gaussian states  

E-Print Network (OSTI)

Teleportation and storage of continuous variable states of light and atoms are essential building blocks for the realization of large scale quantum networks. Rigorous validation of these implementations require identifying, and surpassing, benchmarks set by the most effective strategies attainable without the use of quantum resources. Such benchmarks have been established for special families of input states, like coherent states and particular subclasses of squeezed states. Here we solve the longstanding problem of defining quantum benchmarks for general pure Gaussian single-mode states with arbitrary phase, displacement, and squeezing, randomly sampled according to a realistic prior distribution. As a special case, we show that the fidelity benchmark for teleporting squeezed states with totally random phase and squeezing degree is 1/2, equal to the corresponding one for coherent states. We discuss the use of entangled resources to beat the benchmarks in experiments.

Giulio Chiribella; Gerardo Adesso

2013-08-09T23:59:59.000Z

447

Benchmarking PDR models against the Horsehead edge  

E-Print Network (OSTI)

To prepare for the unprecedented spatial and spectral resolution provided by ALMA and Herschel/HIFI, chemical models are being benchmarked against each other. It is obvious that chemical models also need well-constrained observations that can serve as references. Photo-dissociation regions (PDRs) are particularly well suited to serve as references because they make the link between diffuse and molecular clouds, thus enabling astronomers to probe a large variety of physical and chemical processes. At a distance of 400 pc (1" corresponding to 0.002 pc), the Horsehead PDR is very close to the prototypical kind of source (i.e. 1D, edge-on) needed to serve as a reference to models.

Jérôme Pety; Javier R. Goicoechea; Maryvonne Gerin; Pierre Hily-Blant; David Teyssier; Evelyne Roueff; Emilie Habart; Alain Abergel

2006-12-20T23:59:59.000Z

448

Performance Evaluation and Benchmarking of Intelligent Systems  

Science Conference Proceedings (OSTI)

To design and develop capable, dependable, and affordable intelligent systems, their performance must be measurable. Scientific methodologies for standardization and benchmarking are crucial for quantitatively evaluating the performance of emerging robotic and intelligent systems technologies. There is currently no accepted standard for quantitatively measuring the performance of these systems against user-defined requirements; and furthermore, there is no consensus on what objective evaluation procedures need to be followed to understand the performance of these systems. The lack of reproducible and repeatable test methods has precluded researchers working towards a common goal from exchanging and communicating results, inter-comparing system performance, and leveraging previous work that could otherwise avoid duplication and expedite technology transfer. Currently, this lack of cohesion in the community hinders progress in many domains, such as manufacturing, service, healthcare, and security. By providing the research community with access to standardized tools, reference data sets, and open source libraries of solutions, researchers and consumers will be able to evaluate the cost and benefits associated with intelligent systems and associated technologies. In this vein, the edited book volume addresses performance evaluation and metrics for intelligent systems, in general, while emphasizing the need and solutions for standardized methods. To the knowledge of the editors, there is not a single book on the market that is solely dedicated to the subject of performance evaluation and benchmarking of intelligent systems. Even books that address this topic do so only marginally or are out of date. The research work presented in this volume fills this void by drawing from the experiences and insights of experts gained both through theoretical development and practical implementation of intelligent systems in a variety of diverse application domains. The book presents a detailed and coherent picture of state-of-the-art, recent developments, and further research areas in intelligent systems.

Madhavan, Raj [ORNL; Messina, Elena [National Institute of Standards and Technology (NIST); Tunstel, Edward [JHU Applied Physics Laboratory

2009-09-01T23:59:59.000Z

449

A Benchmark Study on Casting Residual Stress  

Science Conference Proceedings (OSTI)

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

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

2012-01-01T23:59:59.000Z

450

SILENE Benchmark Critical Experiments for Criticality Accident Alarm Systems  

SciTech Connect

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

Miller, Thomas Martin [ORNL; Reynolds, Kevin H. [Y-12 National Security Complex

2011-01-01T23:59:59.000Z

451

Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants  

E-Print Network (OSTI)

benchmark between buildings, including normalized values and energybenchmark existing or design-phase buildings against a wide array of energy

Lehrer, David; Vasudev, Janani

2011-01-01T23:59:59.000Z

452

Plug Load Energy Analysis: The Role of Plug Loads in LEED Certification  

E-Print Network (OSTI)

benchmark and is bound to change as the proportion of plug load energy use grows in commercial buildings.

Fuertes, Gwen; Schiavon, Stefano

2013-01-01T23:59:59.000Z

453

ENERGY STAR Focus on Energy Efficiency in Motor Vehicle Manufacturing |  

NLE Websites -- All DOE Office Websites (Extended Search)

Motor Vehicle Motor Vehicle Manufacturing Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Get started with ENERGY STAR Make the business case Build an energy management program Measure, track, and benchmark Tools for benchmarking energy management practices Tools for tracking and benchmarking facility energy performance ENERGY STAR Energy Performance Indicators for plants

454

Voluntary Agreements for Energy Efficiency or GHG Emissions Reduction in Industry: An Assessment of Programs Around the World  

E-Print Network (OSTI)

Energy or CO2 tax Energy Audits and Assessments Emissionssuch as free or low-cost energy audits or tax exemptions forinvestments in wind energy, audit programs, benchmarking,

Price, Lynn

2005-01-01T23:59:59.000Z

455

ENERGY STAR Focus on Energy Efficiency in Food Processing | ENERGY STAR  

NLE Websites -- All DOE Office Websites (Extended Search)

Food Processing Food Processing Secondary menu About us Press room Contact Us Portfolio Manager Login Facility owners and managers Existing buildings Commercial new construction Industrial energy management Small business Service providers Service and product providers Verify applications for ENERGY STAR certification Design commercial buildings Energy efficiency program administrators Commercial and industrial program sponsors Associations State and local governments Federal agencies Tools and resources Training In this section Get started with ENERGY STAR Make the business case Build an energy management program Measure, track, and benchmark Tools for benchmarking energy management practices Tools for tracking and benchmarking facility energy performance ENERGY STAR Energy Performance Indicators for plants

456

A nine year study of file system and storage benchmarking  

E-Print Network (OSTI)

Benchmarking is critical when evaluating performance, but is especially difficult for file and storage systems. Complex interactions between I/O devices, caches, kernel daemons, and other OS components result in behavior that is rather difficult to analyze. Moreover, systems have different features and optimizations, so no single benchmark is always suitable. The large variety of workloads that these systems experience in the real world also adds to this difficulty. In this article we survey 415 file system and storage benchmarks from 106 recent papers. We found that most popular benchmarks are flawed and many research papers do not provide a clear indication of true performance. We provide guidelines that we hope will improve future performance evaluations. To show how some widely used benchmarks can conceal or overemphasize overheads, we conducted a set of experiments. As a specific example, slowing down read operations on ext2 by a factor of 32 resulted in only a 2–5 % wall-clock slowdown in a popular compile benchmark. Finally, we discuss future work to improve file system and storage benchmarking.

Avishay Traeger; Erez Zadok; Nikolai Joukov; Charles P. Wright

2008-01-01T23:59:59.000Z

457

List of certified energy auditors for the Federal Grant Program for schools and hospitals and for buildings owned by units of local government and public care institutions, and the Energy Conservation Assistance Act of 1979, a state loan program. [About 1500 persons  

Science Conference Proceedings (OSTI)

A list of approximately 1500 persons who are certified energy auditors for the Federal Grant Program for schools and hospitals and for buildings owned by units of local government and public care institutions and the Energy Conservation Assistance Act of 1979, a state loan program, is presented. Information on the auditors' employer type and experience is included.

Not Available

1980-04-02T23:59:59.000Z

458

Benchmark Evaluation of Plutonium Nitrate Solution Arrays  

Science Conference Proceedings (OSTI)

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

M. A. Marshall; J. D. Bess

2011-09-01T23:59:59.000Z

459

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

annual benchmarks for energy usage levels across propertythe actual and predicted energy usage of the building usingof the tenant’s actual energy usage. For this reason, modi?

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

460

Fabrication and Optimization of Nano-Structured Composites for Energy Storage  

E-Print Network (OSTI)

May 28, 2009). “Hydrogen Storage. ” Energy Efficiency andEnergy established benchmarks for on-board hydrogen storageof Hydrogen Storage in Metal-Organic Frameworks. ” Energy

Carrington, Kenneth Russell

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

European Lean Gasoline Direct Injection Vehicle Benchmark  

DOE Green Energy (OSTI)

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

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

2011-01-01T23:59:59.000Z

462

Analysisi Benchmark of the Single Heater Test  

SciTech Connect

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

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

2006-07-27T23:59:59.000Z

463

Web-based energy information systems for large commercial buildings  

E-Print Network (OSTI)

and benchmark energy use among a portfolio of buildings bybenchmark Motegi et al: Web-based Energy Information Systems For Large Commercial Buildings

Motegi, Naoya; Piette, Mary Ann

2003-01-01T23:59:59.000Z

464

United States - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

... and projections integrated across all energy sources ... North American spot crude oil benchmarks ... History of energy consumption in the United States, ...

465

U.S. Data Centers Save Energy Now  

NLE Websites -- All DOE Office Websites (Extended Search)

and methodologies * Metrics to benchmark and track performance of overall data center energy intensity * Data Center Certified Energy Practitioners * Training curriculum for...

466

How Does Your Data Center Measure Up? Energy Efficiency Metrics...  

NLE Websites -- All DOE Office Websites (Extended Search)

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

467

Review of California and National Methods for Energy Performance...  

NLE Websites -- All DOE Office Websites (Extended Search)

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

468

Building Energy Software Tools Directory: Tools by Subject -...  

NLE Websites -- All DOE Office Websites (Extended Search)

modeling, heat transfer, finite element Software has been updated. Curb Energy management, buildings, benchmarking, energy tracking, utility billing Software has been...

469

U.S. Department of Energy NEPA Categorical Exclusion Determination...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

an energy plan, 2) hire consultant for energy audits and benchmarking services, 3) window retrofit at the historic Duluth Courthouse Conditions: Historic preservation clause...

470

Benchmarking Optimization Software with COPS 3.0  

E-Print Network (OSTI)

May 11, 2004 ... Benchmarking Optimization Software with COPS 3.0. Elizabeth D. Dolan (dolan * **at*** cs.unc.edu) Jorge J. More' (more ***at*** mcs.anl.gov)

471

An Independent Benchmarking of SDP and SOCP Solvers  

E-Print Network (OSTI)

Jul 23, 2001 ... The codes were run on a standard platform and on all the benchmark problems provided by the organizers of the challenge. A total of ten codes ...

472

The Extreme Benchmark Suite: Measuring High-Performance Embedded Systems  

E-Print Network (OSTI)

The Extreme Benchmark Suite (XBS) is designed to support performance measurement of highly parallel “extreme ” processors, many of which are designed to replace custom hardware implementations. XBS is designed to avoid many of the problems that occur when using existing benchmark suites with nonstandard and experimental architectures. In particular, XBS is intended to provide a fair comparison of a wide range of architectures, from general-purpose processors to hard-wired ASIC implementations. XBS has a clean modular structure to reduce porting effort, and is designed to be usable with slow cycle-accurate simulators. This work presents the motivation for the creation of XBS and describes in detail the XBS framework. Several benchmarks implemented with this framework are discussed, and these benchmarks are used to compare a standard platform, an experimental architecture, and custom

Steven Gerding; Krste Asanovi?

2005-01-01T23:59:59.000Z

473

Towards Systematic Benchmarking in Answer Set Programming: The Dagstuhl Initiative  

E-Print Network (OSTI)

for di#erent designs of a benchmarking and testing environment for ASP, we used the systems competition at the Dagstuhl Seminar. The following answer set programming systems participated in that initial competition. -- aspps, University of Kentucky, -- assat, UST Hong Kong, -- cmodels, University of Texas, -- dlv, Technical University of Vienna, -- smodels, Technical University of Helsinki. # A#liated with the School of Computing Science at Simon Fraser University, Burnaby, Canada. The di#culty that emerged right away was that these systems do not have a common input language nor do they agree on all functionalities. This led to the introduction of three di#erent (major) categories of benchmarks: Ground: Ground instances of coded benchmarks. As of now, these ground instances are produced by lparse or by the dlv grounder. These benchmarks can be used to test the performance of ASP solvers accepting as input ground (propositional) programs in output formats of lparse or the dlv

Paul Borchert; Christian Anger; Torsten Schaub; Miroslaw Truszczynski

2004-01-01T23:59:59.000Z

474

A Benchmark Simulation for Moist Nonhydrostatic Numerical Models  

Science Conference Proceedings (OSTI)

A benchmark solution that facilitates testing the accuracy, efficiency, and efficacy of moist nonhydrostatic numerical model formulations and assumptions is presented. The solution is created from a special configuration of moist model processes ...

George H. Bryan; J. Michael Fritsch

2002-12-01T23:59:59.000Z

475

A Moist Benchmark Calculation for Atmospheric General Circulation Models  

Science Conference Proceedings (OSTI)

A benchmark calculation is designed to compare the climate and climate sensitivity of atmospheric general circulation models (AGCMs). The experimental setup basically follows that of the aquaplanet experiment (APE) proposed by Neale and Hoskins, ...

Myong-In Lee; Max J. Suarez; In-Sik Kang; Isaac M. Held; Daehyun Kim

2008-10-01T23:59:59.000Z

476

Spread narrows between Brent and WTI crude oil benchmark prices ...  

U.S. Energy Information Administration (EIA)

Spot prices for benchmarks West Texas Intermediate (WTI) and North Sea Brent crude oil neared parity of around $109 per barrel July 19, and the Brent-WTI spread was ...

477

The Extreme Benchmark Suite : measuring high-performance embedded systems  

E-Print Network (OSTI)

The Extreme Benchmark Suite (XBS) is designed to support performance measurement of highly parallel "extreme" processors, many of which are designed to replace custom hardware implementations. XBS is designed to avoid many ...

Gerding, Steven (Steven Bradley)

2005-01-01T23:59:59.000Z

478

Benchmarking of OEM Hybrid Electric Vehicles at NREL: Milestone Report  

DOE Green Energy (OSTI)

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

Kelly, K. J.; Rajagopalan, A.

2001-10-26T23:59:59.000Z

479

A benchmark study on the thermal conductivity of nanofluids  

E-Print Network (OSTI)

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

Buongiorno, Jacopo

480

Benchmarking the Mean Streets of NYC and Beyond  

NLE Websites -- All DOE Office Websites (Extended Search)

Benchmarking the Mean Streets of NYC and Beyond Speaker(s): Conor Laver Date: September 30, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar HostPoint of Contact: Louis-Benoit...

Note: This page contains sample records for the topic "hospital energy benchmarking" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

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

Pollack, R. I.

2011-01-01T23:59:59.000Z

482

Hospitality: Looking for Energy Solutions  

NLE Websites -- All DOE Office Websites (Extended Search)

Recommendations begin with no- and low-cost improvements, and also take advantage of capital investments and longer-term strategies that make financial sense. > Calculate...

483

HOSPITAL ENERGY AUDITS: A BIBLIOGRAPHY  

E-Print Network (OSTI)

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

Pollack, R. I.

2011-01-01T23:59:59.000Z

484

SIMULATE-E benchmarking of pilgrim nuclear power station  

Science Conference Proceedings (OSTI)

The CASMO-SIMULATE-E methodology is bench-marked to qualify its ability to determine power distributions and critical eigenvalues, k/sub eff/. Once the biases and uncertainties in this methodology are quantified, CASMO/SIMULATE-E will be utilized to generate reload fuel patterns and control rod sequences, and to provide operational support for Pilgrim Nuclear Power Station (PNPS). Only the results of the hot SIMULATE-E benchmarking are presented here.

DeWitt, G.L.; Hu, L.C.; Antonopoulos, P.T.

1986-01-01T23:59:59.000Z

485

Benchmark Evaluation of the NRAD Reactor LEU Core Startup Measurements  

Science Conference Proceedings (OSTI)

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

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

2011-09-01T23:59:59.000Z

486

Evolving e-government benchmarking to better cover technology development and emerging societal needs  

Science Conference Proceedings (OSTI)

Many international e-government benchmarks seek to measure progress towards various versions of a digital society, and in this endeavor include a component of e-government. But because comparable international e-government data are scarce, most reports ... Keywords: United Nations, benchmarking framework, benchmarking tools, benchmarking trends, e-government, technology trends

Kim Andreasson; Jeremy Millard; Mikael Snaprud

2012-10-01T23:59:59.000Z

487

Federal Energy Management Program: Energy Efficiency Evaluation and  

NLE Websites -- All DOE Office Websites (Extended Search)

Efficiency Evaluation and Planning for Existing Buildings Efficiency Evaluation and Planning for Existing Buildings For meeting Federal sustainability requirements, agencies can use evaluation methods-such as benchmarking and energy audits-and planning to make their existing buildings energy efficient. To comply with energy reduction requirements agencies should follow a few basic steps: Benchmark buildings Conduct energy audits Create an action plan Monitor progress. This is a cyclical process that will need to be continually updated. For meeting water use reduction requirements in buildings, see Water Efficiency. Benchmark Buildings The first step in managing a building stock's sustainability is to benchmark buildings. Benchmarking allows buildings to be compared for energy consumption and performance to determine which building is consuming more energy than it should (i.e., where there are inefficiencies and opportunities for improvement).

488

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

SciTech Connect

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

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

2013-09-01T23:59:59.000Z

489

Page not found | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

http:energy.govarticlesberkeley-lab-80-years-excellence-science Download NASA BENCHMARKS LESSONS LEARNED Assessment Plan Developed By NNSANevada Site Office Facility...

490

Building Energy Software Tools Directory: Building Greenhouse...  

NLE Websites -- All DOE Office Websites (Extended Search)

against the national benchmark. Computer Platform Internet-based Programming Language Java Strengths Unique tool for providing insight into the actual energy and greenhouse...

491

Renewables Portfolio Standard | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Affordable Energy Act (CAEA) of 2008. Significantly, this legislation increased the percentage and number of benchmarks that utilities must meet, included solar water heating as...

492

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

Science Conference Proceedings (OSTI)

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

Haves, Philip; Coffey, Brian; Williams, Scott

2008-06-11T23:59:59.000Z

493

Employing post-DEA Cross-evaluation and Cluster Analysis in a Sample of Greek NHS Hospitals  

Science Conference Proceedings (OSTI)

To increase Data Envelopment Analysis (DEA) discrimination of efficient Decision Making Units (DMUs), by complementing "self-evaluated" efficiencies with "peer-evaluated" cross-efficiencies and, based on these results, to classify the DMUs using cluster ... Keywords: Benchmarking, Cluster analysis, Cross-efficiency, Data envelopment analysis, Hospital

Angeliki Flokou; Nick Kontodimopoulos; Dimitris Niakas

2011-10-01T23:59:59.000Z

494

Building Green in Greensburg: Kiowa County Memorial Hospital  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Memorial Hospital The original Kiowa County Hospital was destroyed in the May 2007 tornado. The new hospital's design team took one of the most energy- intensive building types and designed a first-of-its kind energy-efficient hospital, while still meeting functional and safety requirements. Completed in March 2010, the hospital is built to achieve the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) Platinum designation. The 50,000-square-foot building includes 15 acute-care beds, rural health and specialty clinics, an emergency department with two trauma rooms, physical/occupational therapy and radiology departments, a laboratory, and other support areas. The new hospital is projected to be 32% more energy efficient

495

Jackson Park Hospital Green Building Medical Center  

Science Conference Proceedings (OSTI)

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

William Dorsey; Nelson Vasquez

2010-03-01T23:59:59.000Z

496

Benchmarking Derivative-Free Optimization Algorithms  

E-Print Network (OSTI)

Science, U.S. Department of Energy, under Contract DE-AC02-06CH11357 and by a DOE. Computational Science Graduate Fellowship under grant number ...

497

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

E-Print Network (OSTI)

Prepared for the California Energy Commission, Report CEC-was sponsored by the California Energy Commission's PublicShe has worked at the California Energy Commission for 18

Mathew, Paul

2008-01-01T23:59:59.000Z

498

Characterization of Computational Grid Resources Using Low-level Benchmarks  

E-Print Network (OSTI)

An important factor that needs to be taken into account by end-users and systems (schedulers, resource brokers, policy brokers) when mapping applications to the Grid, is the performance capacity of hardware resources attached to the Grid and made available through its Virtual Organizations (VOs). In this paper, we examine the problem of characterizing the performance capacity of Grid resources using benchmarking. We examine the conditions under which such characterization experiments can be implemented in a Grid setting and present the challenges that arise in this context. We specify a small number of performance metrics and propose a suite of micro-benchmarks to estimate these metrics for clusters that belong to large Virtual Organizations. We describe GridBench, a tool developed to administer benchmarking experiments, publish their results, and produce graphical representations of their metrics. We describe benchmarking experiments conducted with, and published through GridBench, and show how they can help end-users assess the performance capacity of resources that belong to a target Virtual Organization. Finally, we examine the advantages of this approach over solutions implemented currently in existing Grid infrastructures. We conclude that it is essential to provide benchmarking services in the Grid infrastructure, in order to enable the attachment of performance-related metadata to resources belonging to Virtual Organizations and the retrieval of such metadata by end-users and other Grid systems. 1

George Tsouloupas; Marios Dikaiakos

2004-01-01T23:59:59.000Z

499

WMAP-Compliant Benchmark Surfaces for MSSM Higgs Bosons  

E-Print Network (OSTI)

We explore `benchmark surfaces' suitable for studying the phenomenology of Higgs bosons in the minimal supersymmetric extension of the Standard Model (MSSM), which are chosen so that the supersymmetric relic density is generally compatible with the range of cold dark matter density preferred by WMAP and other observations. These benchmark surfaces are specified assuming that gaugino masses m_{1/2}, soft trilinear supersymmetry-breaking parameters A_0 and the soft supersymmetry-breaking contributions m_0 to the squark and slepton masses are universal, but not those associated with the Higgs multiplets (the NUHM framework). The benchmark surfaces may be presented as M_A-tan_beta planes with fixed or systematically varying values of the other NUHM parameters, such as m_0, m_{1/2}, A_0 and the Higgs mixing parameter mu. We discuss the prospects for probing experimentally these benchmark surfaces at the Tevatron collider, the LHC, the ILC, in B physics and in direct dark-matter detection experiments. An Appendix documents developments in the FeynHiggs code that enable the user to explore for her/himself the WMAP-compliant benchmark surfaces.

J. Ellis; T. Hahn; S. Heinemeyer; K. A. Olive; G. Weiglein

2007-09-02T23:59:59.000Z

500

COMET solutions to whole core CANDU-6 benchmark problems  

SciTech Connect

In this paper, the coarse mesh transport code COMET is used to solve CANDU-6 benchmark problems in two and three dimensional geometry. These problems are representative of a simplified quarter core reactor model. The COMET solutions, the core eigenvalue and the fuel pin fission density distribution, are compared to those from the Monte Carlo code MCNP using two-group cross sections. COMET decomposes the core volume into a set of non-overlapping sub-volumes (coarse meshes) and uses pre-computed heterogeneous response functions that are constructed using Legendre polynomials as boundary conditions to generate a user selected whole core solution (e.g., the core eigenvalue and fuel pin fission density distribution). These response functions are pre-computed by performing fixed source calculations with a modified version of MCNP in only the unique coarse meshes in the core. Reference solutions are calculated by MCNP5