Powered by Deep Web Technologies
Note: This page contains sample records for the topic "building benchmark models" 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

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

2

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

3

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...

4

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

5

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...

6

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...

7

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

8

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

9

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

10

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

11

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

12

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

13

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

14

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

15

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

16

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

17

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...

18

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

19

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

20

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

Note: This page contains sample records for the topic "building benchmark models" 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

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

22

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

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

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...

25

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,

26

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

27

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...

28

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

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

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

31

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

32

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

33

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

34

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

35

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.

36

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

37

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

38

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

39

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

40

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

Note: This page contains sample records for the topic "building benchmark models" 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

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

42

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

43

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

44

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

45

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

46

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

47

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...

48

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...

49

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

50

Learning from Buildings: Technologies for Measuring, Benchmarking, and Improving Performance  

E-Print Network (OSTI)

and P. Price, 2009. “Building Energy Information Systems:2011. Learning from buildings: technologies for measuring,Information to Improve Building Performance: A Study of

Arens, Edward; Brager, Gail; Goins, John; Lehrer, David

2011-01-01T23:59:59.000Z

51

Development of a California commercial building benchmarking database  

E-Print Network (OSTI)

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

Kinney, Satkartar; Piette, Mary Ann

2002-01-01T23:59:59.000Z

52

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

53

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

54

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

55

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

56

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

57

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

58

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

E-Print Network (OSTI)

Teaching, Manufacturing, Combination/Other Climate zone.15 climate zones in the United States based on Briggs etnarrowed to one of the 15 climate zones; buildings served by

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

2010-01-01T23:59:59.000Z

59

Advanced Benchmarking for Complex Building Types: Laboratories as an Exemplar  

E-Print Network (OSTI)

Teaching, Manufacturing, Combination/Other Climate zone.15 climate zones in the United States based on Briggs etnarrowed to one of the 15 climate zones; buildings served by

Mathew, Paul A.

2010-01-01T23:59:59.000Z

60

Development of a California commercial building benchmarking database  

E-Print Network (OSTI)

Used to determine the climate zone. Floor Area. This is usedBuilding Activity, Climate Zone, and Floor Area. A number ofbuildings with. Climate Zone. The California Energy

Kinney, Satkartar; Piette, Mary Ann

2002-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

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

62

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

63

Autotune Building Energy Models  

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

Autotune Building Energy Models Autotune Building Energy Models Joshua New Oak Ridge National Laboratory newjr@ornl.gov, 865-241-8783 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Problem Statement: * "All (building energy) models are wrong, but some are useful" - 22%-97% different from utility data for 3,349 buildings * More accurate models are more useful - Error from inputs and algorithms for practical reasons - Useful for cost-effective energy efficiency (EE) at speed and scale

64

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

65

Nonlinear Seismic Benchmark Problem: Dissipativity and the 9-Story Benchmark Building  

E-Print Network (OSTI)

smart dampers (e.g., [7,8]), as well as those using more complex models of real devices (e.g., [5. JOHNSON* Abstract. Clipped-optimal control of semiactive devices performs well when the forces commanded. The cross-term and the limitations on it are explained. The results of some simulations are given

Johnson, Erik A.

66

Building Energy Modeling Library  

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

Modeling (BEM) Modeling (BEM) Library TDM - Amir Roth Ellen Franconi Rocky Mountain Institute Efranconi@rmi.org 303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and develop a best-practices BEM knowledge repository to improve modeling consistency and address training gaps * Raise energy modeling industry "techniques" to the same

67

Comparison of Building Energy Modeling Programs: Building Loads  

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

Comparison of Building Energy Modeling Programs: Building Loads Title Comparison of Building Energy Modeling Programs: Building Loads Publication Type Report LBNL Report Number...

68

Building America Top Innovations Hall of Fame Profile Â… House Simulation Protocols (the Building America Benchmark  

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

Insight Homes of Delaware worked Insight Homes of Delaware worked with Building America research partner IBACOS to design and analyze multiple iterations of prototype homes until an optimum combination of efficiency measures was derived. Building America has proven to be a world-class research program that has delivered transformative innovations to the housing industry. A solid technical underpinning has been critical to this success, and that has been provided by simulation protocols that ensure a consistent framework for technical analysis. The U.S. Department of Energy's Building America program sponsors projects conducted by its research teams working in the field with home builders and contractors. These teams use a systems engineering process to perform cost and performance assessments relative to each builder or retrofit

69

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

70

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

71

Model Building Energy Code  

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

''Much of the information presented in this summary is drawn from the U.S. Department of Energy’s (DOE) Building Energy Codes Program and the Building Codes Assistance Project (BCAP). For more...

72

Model-Based Engineering and Manufacturing CAD/CAM Benchmark  

Science Conference Proceedings (OSTI)

The Benehmark Project was created from a desire to identify best practices and improve the overall efficiency and performance of the Y-12 Plant's systems and personnel supprting the manufacturing mission. The mission of the benchmark team was to search out industry leaders in manufacturing and evaluate lheir engineering practices and processes to determine direction and focus fm Y-12 modmizadon efforts. The companies visited included several large established companies and anew, small, high-tech machining firm. As a result of this efforL changes are recommended that will enable Y-12 to become a more responsive cost-effective manufacturing facility capable of suppordng the needs of the Nuclear Weapons Complex (NW@) and Work Fw Others into the 21' century. The benchmark team identified key areas of interest, both focused and gencml. The focus arm included Human Resources, Information Management, Manufacturing Software Tools, and Standarda/ Policies and Practices. Areas of general interest included Inhstructure, Computer Platforms and Networking, and Organizational Structure. The method for obtaining the desired information in these areas centered on the creation of a benchmark questionnaire. The questionnaire was used throughout each of the visits as the basis for information gathering. The results of this benchmark showed that all companies are moving in the direction of model-based engineering and manufacturing. There was evidence that many companies are trying to grasp how to manage current and legacy data. In terms of engineering design software tools, the companies contacted were using both 3-D solid modeling and surfaced Wire-frame models. The manufacturing computer tools were varie4 with most companies using more than one software product to generate machining data and none currently performing model-based manufacturing (MBM) ftom a common medel. The majority of companies were closer to identifying or using a single computer-aided design (CAD) system than a single computer-aided manufacturing (CAM) system. The Inteznet was a technology that all companies were considering to either transport information more easily throughout the corporation or as a conduit for business, as the small firm was doing Successfully. Because PrdEngineer is the de facto CAD standard fbr the NWC, the Benchmark Team targeted companies using Parametric Technology Corporation (PTC) software tools. Most of the companies used Pm'Engineer for design to some degree, but found the PTC CAM product, PdManufacture lacking as compared to alternate CAM solutions. All of the companies visited fOund the data exchange between CAD/CAM systems problematic. It was apparent that these companies were trying to consolidate their software tools to reduce translation but had not been able to do so because no single solution had all the needed capabilities. In regard to organizational slructure and human resoukes, two companies were found to be using product or program teams. These teams consisted of the technical staff capable of completing the entire task and were xmintained throughout the project. This same strategy was evident at another of the companies but with more mobility of members. For all eornpanies visited except the small ~ work structure breakdown and responsibility were essentially the same as Y-12's at this time. The functions of numerical control (NC), desi~ and process planning were separate and distinct. The team made numerous recommendations that are detailed in the report.

Domm, T.D.; Underwood, R.S.

1999-04-26T23:59:59.000Z

73

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 ...

74

Autotune Building Energy Models  

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

service" within the BTO Strategic BEM Portfolio 5 | Building Technologies Office eere.energy.gov Approach Approach: * Multi-objective optimization algorithms to minimize error...

75

Fuel Cell Systems Sensors Air Management Benchmarking Modeling  

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

Systems Systems F u e l P r o c e s s o r Sensors Air Management Benchmarking Modeling Patrick Davis Patrick Davis Targets and Status 50 kWe (net) Integrated Fuel Cell Power System 5000 2000 1000 Hours Durability 45 125 275 $/kW Cost (including H2 storage) 650 500 400 W/L Power density (w/o H2 stor) Operating on direct hydrogen 5000 2000 1000 Hours Durability 45 125 325 $/kW Cost 325 250 140 W/L Power density Operating on Tier 2 gasoline containing 30 ppm sulfur, average 2010 2005 2003 status Units Characteristics Projects Fuel Cell Power Systems Analysis ANL NREL TIAX Directed Technologies, Inc. TIAX TIAX * Fuel Cell Systems Analysis * Fuel Cell Vehicle Systems Analysis * Cost Analyses of Fuel Cell Stacks/ Systems * DFMA Cost Estimates of Fuel Cell/ Reformer Systems at Low, Medium, & High Production Rates * Assessment of Fuel Cell Auxiliary

76

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

77

Commercial Prototype Building Models | Building Energy Codes Program  

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

Prototype Building Models Prototype Building Models The U.S. Department of Energy (DOE) supports the development of commercial building energy codes and standards by participating in review processes and providing analyses that are available for public review and use. To calculate the impact of ASHRAE Standard 90.1, researchers at Pacific Northwest National Laboratory (PNNL) created a suite of 16 prototype buildings covering 80% of the commercial building floor area in the United States for new construction, including both commercial buildings and mid- to high-rise buildings. These prototype buildings-derived from DOE's Commercial Reference Building Models-cover all the reference building types except supermarkets, and also add a new building prototype representing high-rise apartment buildings. As ASHRAE Standard 90.1

78

Model interoperability in building information modelling  

Science Conference Proceedings (OSTI)

The exchange of design models in the design and construction industry is evolving away from 2-dimensional computer-aided design (CAD) and paper towards semantically-rich 3-dimensional digital models. This approach, known as Building Information Modelling ... Keywords: Building Information Modelling, Interoperability

Jim Steel; Robin Drogemuller; Bianca Toth

2012-02-01T23:59:59.000Z

79

90.1 Prototype Building Models Outpatient Healthcare | Building Energy  

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

Outpatient Healthcare Outpatient Healthcare 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

80

Benchmark Models, Planes, Lines and Points for Future SUSY Searches at the LHC  

E-Print Network (OSTI)

We define benchmark models for SUSY searches at the LHC, including the CMSSM, NUHM, mGMSB, mAMSB, MM-AMSB and p19MSSM, as well as models with R-parity violation and the NMSSM. Within the parameter spaces of these models, we propose benchmark subspaces, including planes, lines and points along them. The planes may be useful for presenting results of the experimental searches in different SUSY scenarios, while the specific benchmark points may serve for more detailed detector performance tests and comparisons. We also describe algorithms for defining suitable benchmark points along the proposed lines in the parameter spaces, and we define a few benchmark points motivated by recent fits to existing experimental data.

S. S. AbdusSalam; B. C. Allanach; H. K. Dreiner; J. Ellis; U. Ellwanger; J. Gunion; S. Heinemeyer; M. Kraemer; M. L. Mangano; K. A. Olive; S. Rogerson; L. Roszkowski; M. Schlaffer; G. Weiglein

2011-09-18T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

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

82

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

83

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

84

Building Technologies Office: Energy Modeling Software  

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

Software on Twitter Bookmark Building Technologies Office: Energy Modeling Software on Google Bookmark Building Technologies Office: Energy Modeling Software on Delicious Rank...

85

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...

86

Autotune E+ Building Energy Models  

SciTech Connect

This paper introduces a novel Autotune methodology under development for calibrating building energy models (BEM). It is aimed at developing an automated BEM tuning methodology that enables models to reproduce measured data such as utility bills, sub-meter, and/or sensor data accurately and robustly by selecting best-match E+ input parameters in a systematic, automated, and repeatable fashion. The approach is applicable to a building retrofit scenario and aims to quantify the trade-offs between tuning accuracy and the minimal amount of ground truth data required to calibrate the model. Autotune will use a suite of machine-learning algorithms developed and run on supercomputers to generate calibration functions. Specifically, the project will begin with a de-tuned model and then perform Monte Carlo simulations on the model by perturbing the uncertain parameters within permitted ranges. Machine learning algorithms will then extract minimal perturbation combinations that result in modeled results that most closely track sensor data. A large database of parametric EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied to a heavily instrumented residential building as well as three light commercial buildings in which a de-tuned model is autotuned using faux sensor data from the corresponding target E+ model.

New, Joshua Ryan [ORNL; Sanyal, Jibonananda [ORNL; Bhandari, Mahabir S [ORNL; Shrestha, Som S [ORNL

2012-01-01T23:59:59.000Z

87

Better Buildings Neighborhood Program: Business Model Resources  

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

Business Model Business Model Resources to someone by E-mail Share Better Buildings Neighborhood Program: Business Model Resources on Facebook Tweet about Better Buildings Neighborhood Program: Business Model Resources on Twitter Bookmark Better Buildings Neighborhood Program: Business Model Resources on Google Bookmark Better Buildings Neighborhood Program: Business Model Resources on Delicious Rank Better Buildings Neighborhood Program: Business Model Resources on Digg Find More places to share Better Buildings Neighborhood Program: Business Model Resources on AddThis.com... Getting Started Assess the Market Establish Goals & Objectives Develop Plans of Action Business Model Resources Driving Demand Financing Workforce Development Business Model Resources Business Models Workshop and Materials

88

Property:Buildings/ModelBuildingType | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelBuildingType Buildings/ModelBuildingType Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Model. Education Food Sales Food Service Health Care (Inpatient) Health Care (Outpatient) Lodging Mercantile (Retail Other Than Mall) Mercantile (Enclosed and Strip Malls) Office Public Assembly Public Order and Safety Religious Worship Service Warehouse and Storage Other Vacant Pages using the property "Buildings/ModelBuildingType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + Mercantile (Retail Other Than Mall) + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Mercantile (Retail Other Than Mall) + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + Mercantile (Retail Other Than Mall) +

89

Darwinian Model Building  

SciTech Connect

We present a way to generate heuristic mathematical models based on the Darwinian principles of variation and selection in a pool of individuals over many generations. Each individual has a genotype (the hereditary properties) and a phenotype (the expression of these properties in the environment). Variation is achieved by cross-over and mutation operations on the genotype which consists in the present case of a single chromosome. The genotypes 'live' in the environment of the data. Nested Sampling is used to optimize the free parameters of the models given the data, thus giving rise to the phenotypes. Selection is based on the phenotypes.The evidences which naturally follow from the Nested Sampling Algorithm are used in a second level of Nested Sampling to find increasingly better models.The data in this paper originate from the Leiden Cytology and Pathology Laboratory (LCPL), which screens pap smears for cervical cancer. We have data for 1750 women who on average underwent 5 tests each. The data on individual women are treated as a small time series. We will try to estimate the next value of the prime cancer indicator from previous tests of the same woman.

Kester, Do [SRON Netherlands Institute for Space Research, Landleven 12, 9747 AD Groningen (Netherlands); Bontekoe, Romke [Bontekoe Research, Rooseveltstraat 4d, 2321 BM Leiden (Netherlands)

2011-03-14T23:59:59.000Z

90

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

91

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

92

Studying performance of DEVS modeling and simulation environments using the DEVStone benchmark  

Science Conference Proceedings (OSTI)

The Discrete Event System Specification (DEVS) formal modeling and simulation (M&S) framework (which supports hierarchical and modular model composition) has been widely used to understand, analyze and develop a variety of systems. Numerous DEVS simulators ... Keywords: DEVS, modeling and simulation tools, simulator performance evaluation, synthetic benchmarks

Gabriel Wainer; Ezequiel Glinsky; Marcelo Gutierrez-Alcaraz

2011-07-01T23:59:59.000Z

93

Building Energy Software Tools Directory: Tools by Subject - Whole Building  

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

Sustainability Sustainability A B E G K L S U Tool Applications Free Recently Updated Athena Model life cycle assessment, environment, building materials, buildings Free software. BEES environmental performance, green buildings, life cycle assessment, life cycle costing, sustainable development Free software. Software has been updated. Building Greenhouse Rating operational energy, greenhouse performance, national benchmark Free software. Building Performance Compass Commercial Buildings, Multi-family Residence, Benchmarking, Energy Tracking, Improvement Tracking, Weather Normalization BuildingAdvice Whole building analysis, energy simulation, renewable energy, retrofit analysis, sustainability/green buildings Software has been updated. ECO-BAT environmental performance, life cycle assessment, sustainable development Software has been updated.

94

Form:Buildings Model | Open Energy Information  

Open Energy Info (EERE)

Buildings Model Jump to: navigation, search This is the 'Buildings Model' form. To add a page with this form, enter the page name below; if a page with that name already exists,...

95

Residential Prototype Building Models | Building Energy Codes...  

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

the 2006, 2009, and 2012 editions of the IECC are listed in Table 1. Each compressed (.zip) file includes EnergyPlus model input files (.idf) and corresponding output files...

96

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

97

Validation of building energy modeling tools: ecotect™, green building studio™ and IES™  

Science Conference Proceedings (OSTI)

Building energy modeling (BEM) helps architects, engineers and green building consultants in designing increasingly energy-efficient buildings. When used in conjunction with Building Information Modeling (BIM), integration of energy modeling into the ...

Thomas Reeves; Svetlana Olbina; Raymond Issa

2012-12-01T23:59:59.000Z

98

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

99

Snow Model Verification Using Ensemble Prediction and Operational Benchmarks  

Science Conference Proceedings (OSTI)

Hydrologic model evaluations have traditionally focused on measuring how closely the model can simulate various characteristics of historical observations. Although advancing hydrologic forecasting is an often-stated goal of numerous modeling ...

Kristie J. Franz; Terri S. Hogue; Soroosh Sorooshian

2008-12-01T23:59:59.000Z

100

Virtual building environments (VBE) - Applying information modeling to buildings  

SciTech Connect

A Virtual Building Environment (VBE) is a ''place'' where building industry project staffs can get help in creating Building Information Models (BIM) and in the use of virtual buildings. It consists of a group of industry software that is operated by industry experts who are also experts in the use of that software. The purpose of a VBE is to facilitate expert use of appropriate software applications in conjunction with each other to efficiently support multidisciplinary work. This paper defines BIM and virtual buildings, and describes VBE objectives, set-up and characteristics of operation. It informs about the VBE Initiative and the benefits from a couple of early VBE projects.

Bazjanac, Vladimir

2004-06-21T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

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

102

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....

103

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

104

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...

105

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

106

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

107

Towards a benchmark for model checkers of asynchronous concurrent systems  

E-Print Network (OSTI)

? Model Checking is an established filed, ? With wealth of publications, ? and plenty of tools. ? But there are little empirical results, ? and lack of analytical techniques for evaluating tools...

Diyaa-addein Atiya; Néstor Catańo; Geral Lüttgen

2005-01-01T23:59:59.000Z

108

Building Technologies Office: Energy Modeling Software  

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

Modeling Software Modeling Software Information from energy simulation software is critical in the design of energy-efficient commercial buildings. The tools listed on this page are the product of Commercial Buildings Integration Program (CBI) research and are used in modeling current CBI projects. Modeling helps architects and building designers quickly identify the most cost-effective and energy-saving measures. Graphic of the EnergyPlus software logo. EnergyPlus - An award-winning new-generation building energy simulation program from the creators of BLAST and DOE-2. EnergyPlus models heating, cooling, lighting, ventilating, water, and other energy flows in buildings. OpenStudio - A free plugin for the SketchUp 3D drawing program. The plugin makes it easy to create and edit the building geometry in your EnergyPlus input files.

109

Benchmark hydrogeophysical data from a physical seismic model  

Science Conference Proceedings (OSTI)

Theoretical fluid flow models are used regularly to predict and analyze porous media flow but require verification against natural systems. Seismic monitoring in a controlled laboratory setting at a nominal scale of 1:1000 in the acoustic frequency range ... Keywords: Gassmann, Hertz-Mindlin, Saturation, Sensors, Soil

Juan M. Lorenzo; David E. Smolkin; Christopher White; Shannon R. Chollett; Ting Sun

2013-01-01T23:59:59.000Z

110

Fukushima Radiological Assessment Tool: Benchmarking Radiological Assessment and Dose Models using Fukushima Dataset  

Science Conference Proceedings (OSTI)

The Electric Power Research Institute (EPRI) is developing the Fukushima Radiological Assessment Tool (FRAT), a comprehensive database and software application for accessing, analyzing, and interpreting data related to radiological releases from the Fukushima Daiichi Nuclear Power Plant (NPP). This report documents the development of the FRAT to support the benchmarking of emergency response and dose modeling codes used by nuclear power plants, using radiological data from the Fukushima ...

2013-07-31T23:59:59.000Z

111

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

112

Simplified Building Energy Model (SBEM): A Tool to Analyse Building...  

Open Energy Info (EERE)

list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes,...

113

Thermal conductivity modeling of building façade materials  

Science Conference Proceedings (OSTI)

An experimental research has been conducted to assess the thermo-physical properties of three building materials in both dry and moist state: beech wood, autoclaved aerated concrete and brick. The objectives of the paper envisage the measurement of the ... Keywords: building materials, contact temperature, determining method, finite element, numerical modeling, thermal conductivity

Monica Chereches; Nelu-Cristian Chereches; Catalin Popovici

2010-04-01T23:59:59.000Z

114

Building Information Modeling - A Minimum Mathematical Configuration  

E-Print Network (OSTI)

In the current context, the standardization of building construction is not limited to a specific country or to a specific building code. Trade globalization has emphasized the need for standardization in the process of exchange of design information, whether it is in the form of drawings or documents. Building Information Modeling is the latest transformational technology that supports interactive development of design information for buildings. No single Building Information Modeling software package is used in the Architecture Engineering Construction and Facilities Management industries, which is strength as new ideas develop, but a hindrance as the new ideas flow at a different pace into the various programs. The standards divergence of various software results in a limited ability to exchange data between and within projects, especially one sees the difficulty in moving data from one program to another. The Document eXchange File format represents an early attempt to standardize the exchange of drawing information by Autodesk. However, the data was limited to geometric data required for the production of plotted drawings. Metadata in a Building Information Model provides a method to add information to the basic geometric configuration provided in a Document eXchange File. Building Information Model programs use data structures to define smart objects that encapsulate building data in a searchable and robust format. Due to the complexity of building designs eXtensible Markup Language schemas of three dimensional models are often large files that can contain considerable amounts of superfluous information. The aim of this research is to exclude all the superfluous information from the design information and determine the absolute minimum information required to execute the construction of a project. A plain concrete beam element was used as the case study for this research. The results show that a minimal information schema can be developed for a simple building element. Further research is required on more complex elements.

Bhandare, Ruchika

2012-08-01T23:59:59.000Z

115

Meteorological modeling applications in building energy simulations  

SciTech Connect

Researchers use sophisticated computer models to predict building energy use. These models require extensive input data including building characteristics and dimensions, load schedules, and weather data. The typical source for weather data is the weather station at the nearest airport. Specifically, hourly values of ambient air temperature are necessary. The data obtained from local airports, however, may be significantly different from the actual weather experienced by a nearby residential building. Thus, using local airport data when simulating a residential building may yield inaccurate results. Furthermore, researchers interested in evaluating the potential for heat island mitigation schemes (such as urban tree planting programs) to decrease building air-conditioning energy use need a method for modifying the local airport data accordingly.

Sailor, D.J.; Akbari, H.

1992-08-01T23:59:59.000Z

116

Use of building information models in simulations  

Science Conference Proceedings (OSTI)

The transition to Building Information Modeling (BIM) represents a substantial shift from existing business practices in the architecture, engineering, construction, and facility operations (AECO) arena. While the move from drafting to computer aided ...

Raja R. A. Issa; Patrick C. Suermann; Svetlana Olbina

2009-12-01T23:59:59.000Z

117

Complete 90.1 Prototype Building Model package | Building Energy Codes  

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

Complete 90.1 Prototype Building Model package Complete 90.1 Prototype Building Model package 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

118

90.1 Prototype Building Models Full Service Restaurant | Building Energy  

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

90.1 Prototype Building Models Full Service Restaurant 90.1 Prototype Building Models Full Service Restaurant 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

119

Model Predictive Control of Thermal Energy Storage in Building...  

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

Model Predictive Control of Thermal Energy Storage in Building Cooling Systems Title Model Predictive Control of Thermal Energy Storage in Building Cooling Systems Publication Type...

120

Validation of the Window Model of the Modelica Buildings Library  

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

Validation of the Window Model of the Modelica Buildings Library Title Validation of the Window Model of the Modelica Buildings Library Publication Type Report LBNL Report Number...

Note: This page contains sample records for the topic "building benchmark models" 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

Building Energy Software Tools Directory: Building Energy Modelling...  

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

and Renewable Energy EERE Home | Programs & Offices | Consumer Information Building Energy Software Tools Directory Search Search Help Building Energy Software Tools Directory...

122

Modeling window optics for building energy analysis  

SciTech Connect

This report discusses modeling the optics of windows for the purposes of simulating building energy requirements or daylighting availability. The theory for calculating the optical performance of conventional windows is reviewed. The simplifications that might commonly be made in creating computational models are analyzed. Some of the possibilities for more complex windows are analyzed, and the type of model and data that would be necessary to simulate such windows in a building energy analysis program are determined. It is shown that the optical performance of different window types can be simulated with models which require varying amounts of memory or computing time. It is recommended that a building energy analysis program have all models available and use the most efficient for any given window.

Walton, G.N.

1986-07-01T23:59:59.000Z

123

90.1 Prototype Building Models- Medium Office | Building Energy Codes  

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

Models- Medium Office Models- Medium Office 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

124

Modeling distributed generation in the buildings sectors  

Gasoline and Diesel Fuel Update (EIA)

Modeling distributed generation Modeling distributed generation in the buildings sectors August 2013 Independent Statistics & Analysis www.eia.gov U.S. Department of Energy Washington, DC 20585 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors i This report was prepared by the U.S. Energy Information Administration (EIA), the statistical and analytical agency within the U.S. Department of Energy. By law, EIA's data, analyses, and forecasts are independent of approval by any other officer or employee of the United States Government. The views in this report therefore should not be construed as representing those of the Department of Energy or other Federal agencies. July 2013 U.S. Energy Information Administration | Modeling distributed generation in the buildings sectors 1

125

Buildings Technologies Deployment | Clean energy | ORNL  

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

Deployment SHARE Building Technologies Deployment benchmarking commercial buildings Once building technologies emerge and become commercially available, only in...

126

Model Policies | Building Energy Codes Program  

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

Center Center Site Map Printable Version Development Adoption Compliance Regulations Resource Center FAQs Publications Resource Guides eLearning Model Policies Glossary Related Links ACE Learning Series Utility Savings Estimators Model Policies States and local jurisdictions across the nation have demonstrated leadership in developing programs and policies that both encourage and require compliance with energy codes, stretch codes (e.g., above-minimum codes) and green building techniques, energy-efficiency practices, and environmentally-friendly procedures. The laws and regulations behind these programs and policies can help states and jurisdictions establish unique policies to address their particular needs. Model policies for residential and commercial building construction have

127

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

Building thermal loadThe building thermal load predictor. . . . . . . .of Figures 1.1 Classification schematic for building MPC

Ma, Yudong

2012-01-01T23:59:59.000Z

128

Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation  

E-Print Network (OSTI)

Building level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified but physically meaningful models for existing buildings are preferable for practical applications. In this study, a hybrid building model is developed to describe building system for thermal performance prediction at building level. The model includes two parts. One part is the detailed physical models, which are the CTF models of building envelopes based on the easily available coincident detailed physical properties. The other part is the simplified 2R2C model for building internal mass, whose parameters are estimated and optimized using short-term monitored operation data. A genetic algorithm estimator is developed to optimize these parameters. The parameter optimization of the simplified model and the hybrid building model are validated in a high-rise commercial office building under various weather conditions.

Xu, X.; Wang, S.

2006-01-01T23:59:59.000Z

129

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

130

Fast 2D non-LTE radiative modelling of prominences I. Numerical methods and benchmark results  

E-Print Network (OSTI)

New high-resolution spectropolarimetric observations of solar prominences require improved radiative modelling capabilities in order to take into account both multi-dimensional - at least 2D - geometry and complex atomic models. This makes necessary the use of very fast numerical schemes for the resolution of 2D non-LTE radiative transfer problems considering freestanding and illuminated slabs. The implementation of Gauss-Seidel and successive over-relaxation iterative schemes in 2D, together with a multi-grid algorithm, is thoroughly described in the frame of the short characteristics method for the computation of the formal solution of the radiative transfer equation in cartesian geometry. We propose a new test for multidimensional radiative transfer codes and we also provide original benchmark results for simple 2D multilevel atom cases which should be helpful for the further development of such radiative transfer codes, in general.

L. Leger; L. Chevallier; F. Paletou

2007-03-27T23:59:59.000Z

131

90.1 Prototype Building Models Secondary School | Building Energy Codes  

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

Secondary School Secondary School 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

132

90.1 Prototype Building Models Mid-rise Apartment | Building Energy Codes  

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

Mid-rise Apartment Mid-rise Apartment 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

133

90.1 Prototype Building Models Stand Alone Retail | Building Energy Codes  

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

Stand Alone Retail Stand Alone Retail 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

134

90.1 Prototype Building Models Quick Service Restaurant | Building Energy  

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

Quick Service Restaurant Quick Service Restaurant 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

135

90.1 Prototype Building Models Large Hotel | Building Energy Codes Program  

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

Hotel Hotel 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

136

90.1 Prototype Building Models Warehouse (non-refrigerated) | Building  

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

Warehouse (non-refrigerated) Warehouse (non-refrigerated) 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

137

90.1 Prototype Building Models Large Office | Building Energy Codes Program  

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

Office Office 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

138

90.1 Prototype Building Models Small Office | Building Energy Codes Program  

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

Office Office 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

139

90.1 Prototype Building Models Strip Mall | Building Energy Codes Program  

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

Strip Mall Strip Mall 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

140

90.1 Prototype Building Models Small Hotel | Building Energy Codes Program  

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

Hotel Hotel 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

Note: This page contains sample records for the topic "building benchmark models" 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

90.1 Prototype Building Models Primary School | Building Energy Codes  

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

Primary School Primary School 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

142

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

143

U.S. Department of Energy Commercial Reference Building Models of the National Building Stock  

SciTech Connect

The U.S. Department of Energy (DOE) Building Technologies Program has set the aggressive goal of producing marketable net-zero energy buildings by 2025. This goal will require collaboration between the DOE laboratories and the building industry. We developed standard or reference energy models for the most common commercial buildings to serve as starting points for energy efficiency research. These models represent fairly realistic buildings and typical construction practices. Fifteen commercial building types and one multifamily residential building were determined by consensus between DOE, the National Renewable Energy Laboratory, Pacific Northwest National Laboratory, and Lawrence Berkeley National Laboratory, and represent approximately two-thirds of the commercial building stock.

Deru, M.; Field, K.; Studer, D.; Benne, K.; Griffith, B.; Torcellini, P.; Liu, B.; Halverson, M.; Winiarski, D.; Rosenberg, M.; Yazdanian, M.; Huang, J.; Crawley, D.

2011-02-01T23:59:59.000Z

144

Heterotic Model Building: 16 Special Manifolds  

E-Print Network (OSTI)

We study heterotic model building on 16 specific Calabi-Yau manifolds constructed as hypersurfaces in toric four-folds. These 16 manifolds are the only ones among the more than half a billion manifolds in the Kreuzer-Skarke list with a non-trivial first fundamental group. We classify the line bundle models on these manifolds, both for SU(5) and SO(10) GUTs, which lead to consistent supersymmetric string vacua and have three chiral families. A total of about 29000 models is found, most of them corresponding to SO(10) GUTs. These models constitute a starting point for detailed heterotic model building on Calabi-Yau manifolds in the Kreuzer-Skarke list. The data for these models can be downloaded here: http://www-thphys.physics.ox.ac.uk/projects/CalabiYau/toricdata/index.html

Yang-Hui He; Seung-Joo Lee; Andre Lukas; Chuang Sun

2013-09-01T23:59:59.000Z

145

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

146

Property:Buildings/Models | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Buildings/Models Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Publication. Pages using the property "Buildings/Models" Showing 2 pages using this property. G General Merchandise 50% Energy Savings Technical Support Document 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline +, General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings +, General Merchandise 2009 TSD Chicago Low Plug Load Baseline +, ... Grocery Store 50% Energy Savings Technical Support Document 2009 + Grocery 2009 TSD Chicago Baseline +, Grocery 2009 TSD Chicago 50% Energy Savings +, Grocery 2009 TSD Miami Baseline +, ...

147

2D and 3D Numerical Modeling of Solidification Benchmark of Sn-3 ...  

Science Conference Proceedings (OSTI)

The benchmark experiment consists in solidifying a rectangular ingot of Sn-3% wt . Pb alloys, by using two lateral heat exchangers which allow extracting heat ...

148

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

149

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect

Building energy analysis is often time-intensive, error-prone, and non-reproducible. Entire energy analyses can be scripted end-to-end using the OpenStudio Ruby API. Common tasks within an analysis can be automated using OpenStudio Measures. Graphical user interfaces (GUI's) and component libraries reduce time, decrease errors, and improve repeatability in energy modeling.

Macumber, D.

2012-10-01T23:59:59.000Z

150

Physical Model Development and Benchmarking for MHD Flows in Blanket Design  

SciTech Connect

An advanced simulation environment to model incompressible MHD flows relevant to blanket conditions in fusion reactors has been developed at HyPerComp in research collaboration with TEXCEL. The goals of this phase-II project are two-fold: The first is the incorporation of crucial physical phenomena such as induced magnetic field modeling, and extending the capabilities beyond fluid flow prediction to model heat transfer with natural convection and mass transfer including tritium transport and permeation. The second is the design of a sequence of benchmark tests to establish code competence for several classes of physical phenomena in isolation as well as in select (termed here as “canonical”,) combinations. No previous attempts to develop such a comprehensive MHD modeling capability exist in the literature, and this study represents essentially uncharted territory. During the course of this Phase-II project, a significant breakthrough was achieved in modeling liquid metal flows at high Hartmann numbers. We developed a unique mathematical technique to accurately compute the fluid flow in complex geometries at extremely high Hartmann numbers (10,000 and greater), thus extending the state of the art of liquid metal MHD modeling relevant to fusion reactors at the present time. These developments have been published in noted international journals. A sequence of theoretical and experimental results was used to verify and validate the results obtained. The code was applied to a complete DCLL module simulation study with promising results.

Ramakanth Munipalli; P.-Y.Huang; C.Chandler; C.Rowell; M.-J.Ni; N.Morley; S.Smolentsev; M.Abdou

2008-06-05T23:59:59.000Z

151

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...

152

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

153

Category:Building Models | Open Energy Information  

Open Energy Info (EERE)

Models Models Jump to: navigation, search This category uses the form Buildings Model. Pages in category "Building Models" The following 12 pages are in this category, out of 12 total. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings General Merchandise 2009 TSD Chicago High Plug Load Baseline General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings General Merchandise 2009 TSD Chicago Low Plug Load Baseline G cont. General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings General Merchandise 2009 TSD Miami High Plug Load Baseline General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings General Merchandise 2009 TSD Miami Low Plug Load Baseline G cont. Grocery 2009 TSD Chicago 50% Energy Savings Grocery 2009 TSD Chicago Baseline

154

Building the RHIC tracking lattice model  

SciTech Connect

In this note we outline the procedure to build a realistic lattice model for the RHIC beam-beam tracking simulation. We will install multipole field errors in the arc main dipoles, arc main quadrupols and interaction region magnets (DX, D0, and triplets) and introduce a residual closed orbit, tune ripples, and physical apertures in the tracking lattice model. Nonlinearities such as local IR multipoles, second order chromaticies and third order resonance driving terms are also corrected before tracking.

Luo, Y.; Fischer, W.; Tepikian, S.

2010-01-27T23:59:59.000Z

155

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...

156

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 buildingsbuilding targets be evaluated against empirical benchmarks that are based on the measured energy

Mathew, Paul; Rumsey Engineers

2008-01-01T23:59:59.000Z

157

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

158

Midwest Building Energy Program  

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

Midwest Building Energy Program Midwest Building Energy Program Stacey Paradis Midwest Energy Efficiency Alliance sparadis@mwalliance.org 312-784-7267 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Purpose * Reduce Energy Use in New Construction (Energy Codes) * Reduce Energy Use in Existing Construction (Benchmarking) Objectives * Technical Assistance to States In Midwest Adopt Latest Model Energy Codes * Foster Maximum Compliance with Current Energy Codes

159

Midwest Building Energy Program  

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

Midwest Building Energy Program Midwest Building Energy Program Stacey Paradis Midwest Energy Efficiency Alliance sparadis@mwalliance.org 312-784-7267 April 2, 2013 2 | Building Technologies Office eere.energy.gov Purpose & Objectives Purpose * Reduce Energy Use in New Construction (Energy Codes) * Reduce Energy Use in Existing Construction (Benchmarking) Objectives * Technical Assistance to States In Midwest Adopt Latest Model Energy Codes * Foster Maximum Compliance with Current Energy Codes

160

A detailed loads comparison of three building energy modeling programs:  

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

detailed loads comparison of three building energy modeling programs: detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Title A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST and DOE-2.1E Publication Type Journal Year of Publication 2013 Authors Zhu, Dandan, Tianzhen Hong, Da Yan, and Chuang Wang Date Published 05/2013 Keywords building energy modeling program, building thermal loads, comparison, dest, DOE-2.1E, energyplus Abstract Building energy simulation is widely used to help design energy efficient building envelopes and HVAC systems, develop and demonstrate compliance of building energy codes, and implement building energy rating programs. However, large discrepancies exist between simulation results from different building energy modeling programs (BEMPs). This leads many users and stakeholders

Note: This page contains sample records for the topic "building benchmark models" 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

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

162

Commercial Buildings Sector Agent-Based Model | Open Energy Information  

Open Energy Info (EERE)

Commercial Buildings Sector Agent-Based Model Commercial Buildings Sector Agent-Based Model Jump to: navigation, search Tool Summary Name: Commercial Buildings Sector Agent-Based Model Agency/Company /Organization: Argonne National Laboratory Sector: Energy Focus Area: Buildings - Commercial Phase: Evaluate Options Topics: Implementation Resource Type: Technical report User Interface: Website Website: web.anl.gov/renewables/research/building_agent_based_model.html OpenEI Keyword(s): EERE tool, Commercial Buildings Sector Agent-Based Model Language: English References: Building Efficiency: Development of an Agent-based Model of the US Commercial Buildings Sector[1] Model the market-participants, dynamics, and constraints-help decide whether to adopt energy-efficient technologies to meet commercial building

163

Scripted Building Energy Modeling and Analysis: Preprint  

SciTech Connect

Building energy modeling and analysis is currently a time-intensive, error-prone, and nonreproducible process. This paper describes the scripting platform of the OpenStudio tool suite (http://openstudio.nrel.gov) and demonstrates its use in several contexts. Two classes of scripts are described and demonstrated: measures and free-form scripts. Measures are small, single-purpose scripts that conform to a predefined interface. Because measures are fairly simple, they can be written or modified by inexperienced programmers.

Hale, E.; Macumber, D.; Benne, K.; Goldwasser, D.

2012-08-01T23:59:59.000Z

164

Methodology for Modeling Building Energy Performance across the Commercial Sector  

Science Conference Proceedings (OSTI)

This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

Griffith, B.; Long, N.; Torcellini, P.; Judkoff, R.; Crawley, D.; Ryan, J.

2008-03-01T23:59:59.000Z

165

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

166

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

Energy Savings”. In: Energy and Buildings 40.7 (2008), pp.Thermal Dynamics”. In: Energy and Buildings 47 (Apr. 2011),Storage Systems”. In: Energy and Buildings 35.2 (2003), pp.

Ma, Yudong

2012-01-01T23:59:59.000Z

167

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

168

Comparison of Building Energy Modeling Programs: HVAC Systems  

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

Modeling Programs: HVAC Systems Title Comparison of Building Energy Modeling Programs: HVAC Systems Publication Type Report LBNL Report Number LBNL-6432E Year of Publication 2013...

169

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

170

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

171

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...

172

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...

173

Infiltration and Natural Ventilation Model for Whole-Building Energy Simulation of Residential Buildings: Preprint  

DOE Green Energy (OSTI)

The infiltration term in the building energy balance equation is one of the least understood and most difficult to model. For many residential buildings, which have an energy performance dominated by the envelope, it can be one of the most important terms. There are numerous airflow models; however, these are not combined with whole-building energy simulation programs that are in common use in North America. This paper describes a simple multizone nodal airflow model integrated with the SUNREL whole-building energy simulation program.

Deru, M.; Burns, P.

2003-03-01T23:59:59.000Z

174

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.

175

Modeling Distributed Electricity Generation in the NEMS Buildings Models  

Reports and Publications (EIA)

This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

Erin Boedecker

2011-01-25T23:59:59.000Z

176

Influence of two dynamic predictive clothing insulation models on building energy performance  

E-Print Network (OSTI)

Energy Consumption, Energy and Buildings, Vol. 26, 283-291.Insulation Models on Building Energy Use, HVAC sizing andClothing Model Impact on Building Energy Performance

Lee, Kwang Ho; Schiavon, Stefano

2013-01-01T23:59:59.000Z

177

Influence of two dynamic predictive clothing insulation models on building energy performance  

E-Print Network (OSTI)

Clothing Insulation Models on Building Energy Use, HVACClothing Insulation Models on Building Energy Performance K.insulation variation should be captured during the building

Lee, Kwang Ho; Schiavon, Stefano

2013-01-01T23:59:59.000Z

178

Development of discrete event system specification (DEVS) building performance models for building energy design  

Science Conference Proceedings (OSTI)

The discrete event system specification (DEVS) is a formalism for describing simulation models in a modular fashion. In this study, it is exploited by forming submodels that allow different professions involved in the building design process to work ... Keywords: DEVS, energy simulation in building design, modular BPS, stochastic occupant models

Huseyin Burak Gunay; Liam O'Brien; Rhys Goldstein; Simon Breslav; Azam Khan

2013-04-01T23:59:59.000Z

179

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

180

Model Reduction for Control of Stratified Flows in Buildings  

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

models, widely used in whole building simulation tools, are inadequate for capturing thermal stratification that typically arises while using passive, low-energy, heating and...

Note: This page contains sample records for the topic "building benchmark models" 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

Modeling, Simulation and Analysis of Integrated Building Energy...  

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

Us Department Contacts Media Contacts Modeling, Simulation and Analysis of Integrated Building Energy and Control Systems Speaker(s): Michael Wetter Date: August 10, 2009 -...

182

Junior Solar Sprint - An Introduction to Building a Model Solar...  

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

8 Revised 82301 An Introduction to Building a Model Solar Car Student Guide for the Junior Solar Sprint Competition Produced by: Krisztina Holly and Akhil Madhani 2 Introduction...

183

Building Energy Models Can Be Automatically Adjusted To Fit Data  

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

EETD Safety Program Development Contact Us Department Contacts Media Contacts Building Energy Models Can Be Automatically Adjusted To Fit Data Speaker(s): Douglas Black Nathan...

184

Building model reconstruction from lidar data and aerial photographs.  

E-Print Network (OSTI)

??The objective of this research is to reconstruct 3D building models from imagery and LIDAR data. The images used are stereo aerial photographs with known… (more)

Ma, Ruijin

2005-01-01T23:59:59.000Z

185

DEVELOPMENT OF A FLEXIBLE, MULTIZONE, MULTIFAMILY BUILDING SIMULATION MODEL  

SciTech Connect

Weatherization of multifamily buildings is gaining increased attention in the U.S. Available energy audit tools for multifamily buildings were found to need desirable improvements. On the wish list of field experts for enhanced features was the basic ability to model multizone buildings (i.e., one thermal zone per dwelling unit) with simplified user inputs, which allows a better analysis of decentralized and centralized HVAC and domestic hot water systems of multifamily buildings without having to create detailed building models. To address the desired capabilities, development of an enhanced energy audit tool was begun in 2011. The tool is a strategically structured, flexible, one-zone-per-unit, DOE-2.1e model coupled with a simplified user interface to model small to large multifamily buildings with decentralized or centralized systems and associated energy measures. This paper describes the modeling concept and its implementation.

Malhotra, Mini [ORNL; Im, Piljae [ORNL

2012-01-01T23:59:59.000Z

186

A View on Future Building System Modeling and Simulation  

SciTech Connect

This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

Wetter, Michael

2011-04-01T23:59:59.000Z

187

A View on Future Building System Modeling and Simulation  

SciTech Connect

This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

Wetter, Michael

2011-04-01T23:59:59.000Z

188

Commercial Reference Buildings | Department of Energy  

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

Buildings » Research Projects » Commercial Reference Buildings » Research Projects » Commercial Reference Buildings Commercial Reference Buildings The U.S. Department of Energy (DOE), in conjunction with three of its national laboratories, developed commercial reference buildings, formerly known as commercial building benchmark models. These reference buildings play a critical role in the program's energy modeling software research by providing complete descriptions for whole building energy analysis using EnergyPlus simulation software. There are 16 building types that represent approximately 70% of the commercial buildings in the U.S., according to the report published by the National Renewable Energy Laboratory titled U.S. Department of Energy Commercial Reference Building Models of the National Building Stock. These

189

Project: Whole Building Energy Modeling and Measurements  

Science Conference Proceedings (OSTI)

... buildings use approximately 22% of the total energy consumed in the US The objective of this project is to increase the energy efficiency of the ...

2012-12-27T23:59:59.000Z

190

Property:Buildings/ModelIdfFile | Open Energy Information  

Open Energy Info (EERE)

ModelIdfFile ModelIdfFile Jump to: navigation, search This is a property of type URL. Pages using the property "Buildings/ModelIdfFile" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_50percent.idf + General Merchandise 2009 TSD Chicago High Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_Baseline.idf + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_50percent.idf + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_Baseline.idf +

191

Property:Buildings/ModelXmlFile | Open Energy Information  

Open Energy Info (EERE)

ModelXmlFile ModelXmlFile Jump to: navigation, search This is a property of type URL. Pages using the property "Buildings/ModelXmlFile" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_50percent.xml + General Merchandise 2009 TSD Chicago High Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Chicago/2009_TSD_GeneralMerch_HPL_Baseline.xml + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_50percent.xml + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + http://apps1.eere.energy.gov/buildings/energyplus/models/Miami/2009_TSD_GeneralMerch_LPL_Baseline.xml +

192

DEVELOPMENT AND EVALUATION OF FLEXIBLE, MULTIZONE MULTIFAMILY BUILDING SIMULATION MODEL  

SciTech Connect

Since 2011, Oak Ridge National Laboratory (ORNL) has been developing a multifamily building energy audit tool sponsored by U.S. Department of Energy (DOE) Weatherization program. Although weatherization of multifamily buildings is gaining increased attention in the U.S, available energy audit tools for multifamily buildings were found to need desirable improvements. On the wish list of field experts was the basic ability to model multizone buildings (i.e., one thermal zone per dwelling unit) with simplified user inputs, which allows a better analysis of decentralized and centralized HVAC and domestic hot water systems of multifamily buildings without having to create detailed building models. This paper describes detailed procedure of evaluation of the tool to perform an energy analysis in an existing multifamily building.

Im, Piljae [ORNL; Malhotra, Mini [ORNL

2013-01-01T23:59:59.000Z

193

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

194

High-tech buildings - Market transformation project  

E-Print Network (OSTI)

buildings program. Perform market research and benchmark energybuilding owners, operators, and designers to compare energy use for a given cleanroom to others, it is necessary to benchmark

Applications Team

2001-01-01T23:59:59.000Z

195

Building energy modeling programs comparison Research on HVAC systems  

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

energy modeling programs comparison Research on HVAC systems energy modeling programs comparison Research on HVAC systems simulation part Title Building energy modeling programs comparison Research on HVAC systems simulation part Publication Type Journal Year of Publication 2013 Authors Zhou, Xin, Da Yan, Tianzhen Hong, and Dandan Zhu Keywords Building energy modeling programs, comparison tests, HVAC system simulation, theory analysis Abstract Building energy simulation programs are effective tools for the evaluation of building energy saving and optimization of design. The fact that large discrepancies exist in simulated results when different BEMPs are used to model the same building has caused wide concern. Urgent research is needed to identify the main elements that contribute towards the simulation results. This technical report summarizes methodologies, processes, and the main assumptions of three building energy modeling programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E, and test cases are designed to analyze the calculation process in detail. This will help users to get a better understanding of BEMPs and the research methodology of building simulation. This will also help build a foundation for building energy code development and energy labeling programs.

196

Building information modeling: the Web3D application for AEC  

Science Conference Proceedings (OSTI)

There is currently a dramatic shift in the Architecture, Engineering, and Construction (AEC) industry to embrace Building Information Modeling (BIM) as a tool that can assist in integrating the fragmented industry by eliminating inefficiencies and redundancies, ... Keywords: BIM, IFC, Web3D, X3D, architecture, building information modeling, construction, engineering, visualization

Dace A. Campbell

2007-04-01T23:59:59.000Z

197

Building Energy Model Development for Retrofit Homes  

SciTech Connect

Based on previous research conducted by Pacific Northwest National Laboratory and Florida Solar Energy Center providing technical assistance to implement 22 deep energy retrofits across the nation, 6 homes were selected in Florida and Texas for detailed post-retrofit energy modeling to assess realized energy savings (Chandra et al, 2012). However, assessing realized savings can be difficult for some homes where pre-retrofit occupancy and energy performance are unknown. Initially, savings had been estimated using a HERS Index comparison for these homes. However, this does not account for confounding factors such as occupancy and weather. This research addresses a method to more reliably assess energy savings achieved in deep energy retrofits for which pre-retrofit utility bills or occupancy information in not available. A metered home, Riverdale, was selected as a test case for development of a modeling procedure to account occupancy and weather factors, potentially creating more accurate estimates of energy savings. This “true up” procedure was developed using Energy Gauge USA software and post-retrofit homeowner information and utility bills. The 12 step process adjusts the post-retrofit modeling results to correlate with post-retrofit utility bills and known occupancy information. The “trued” post retrofit model is then used to estimate pre-retrofit energy consumption by changing the building efficiency characteristics to reflect the pre-retrofit condition, but keeping all weather and occupancy-related factors the same. This creates a pre-retrofit model that is more comparable to the post-retrofit energy use profile and can improve energy savings estimates. For this test case, a home for which pre- and post- retrofit utility bills were available was selected for comparison and assessment of the accuracy of the “true up” procedure. Based on the current method, this procedure is quite time intensive. However, streamlined processing spreadsheets or incorporation into existing software tools would improve the efficiency of the process. Retrofit activity appears to be gaining market share, and this would be a potentially valuable capability with relevance to marketing, program management, and retrofit success metrics.

Chasar, David; McIlvaine, Janet; Blanchard, Jeremy; Widder, Sarah H.; Baechler, Michael C.

2012-09-30T23:59:59.000Z

198

Concrete Model Descriptions and Summary of Benchmark Studies for Blast Effects Simulations  

DOE Green Energy (OSTI)

Concrete is perhaps one of the most widely used construction materials in the world. Engineers use it to build massive concrete dams, concrete waterways, highways, bridges, and even nuclear reactors. The advantages of using concrete is that it can be cast into any desired shape, it is durable, and very economical compared to structural steel. The disadvantages are its low tensile strength, low ductility, and low strength-to-weight ratio. Concrete is a composite material that consists of a coarse granular material, or aggregate, embedded in a hard matrix of material, or cement, which fills the gaps between the aggregates and binds them together. Concrete properties, however, vary widely. The properties depend on the choice of materials used and the proportions for a particular application, as well as differences in fabrication techniques. Table 1 provides a listing of typical engineering properties for structural concrete. Properties also depend on the level of concrete confinement, or hydrostatic pressure, the material is being subjected to. In general, concrete is rarely subjected to a single axial stress. The material may experience a combination of stresses all acting simultaneously. The behavior of concrete under these combined stresses are, however, extremely difficult to characterize. In addition to the type of loading, one must also consider the stress history of the material. Failure is determined not only by the ultimate stresses, but also by the rate of loading and the order in which these stresses were applied. The concrete model described herein accounts for this complex behavior of concrete. It was developed by Javier Malvar, Jim Wesevich, and John Crawford of Karagozian and Case, and Don Simon of Logicon RDA in support of the Defense Threat Reduction Agency's programs. The model is an enhanced version of the Concrete/Geological Material Model 16 in the Lagrangian finite element code DYNA3D. The modifications that were made to the original model ensured that the material response followed experimental observations for standard uniaxial, biaxial, and triaxial tests for both tension and compression type loading. A disadvantage of using this material model, however, is the overwhelming amount of input that is required from the user. Therefore, the goal of this report is to provide future users with the tools necessary for successfully using this model.

Noble, C; Kokko, E; Darnell, I; Dunn, T; Hagler, L; Leininger, L

2005-07-21T23:59:59.000Z

199

Towards a Very Low Energy Building Stock: Modeling the US Commercial...  

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

Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Stock to Support Policy and Innovation Planning Title Towards a Very Low Energy Building Stock:...

200

A Model-Based Method For Building Reconstruction  

Science Conference Proceedings (OSTI)

In this paper model-based reconstruction methods are applied to the detailed reconstruction of buildings from close-range images. The 3D points obtained through image matching are segmented into a coarse polyhedral model with a robust regression ...

Konrad Schindler; Joachim Bauer

2003-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

Adaptive Construction Modelling Within Whole Building Dynamic Simulation  

E-Print Network (OSTI)

............................ vii List of Symbols .......................... ix Chapter 1: Introduction ....................... 1 1.1 The need for building energy simulation ............... 1 1.2 The evolution of building energy simulation tools ............ 2 1.3 The need for accurate building fabric modelling ............ 4 1.4 Objective and outline of the present work ............... 5 Chapter 2: Review of Heat and Moisture Transport within Building Materials ...... 8 2.1 Building energy simulation ................... 8 2.1.1 Heat conduction .................... 8 2.1.2 Mass diffusion .................... 16 2.2 Adaptive gridding ...................... 18 2.3 Thermophysical properties ................... 23 2.4 Combined heat and moisture transport ................ 27 2.4.1 Moisture transport in porous building materials .......... 29 2.4.2 Differential equations for combined heat and moisture transport ..... 33 Chapter 3: Adaptive Building Fabric Gridding ................ 37 3.1 Math...

Abdullatif Nakhi Degree; Abdullatif E. Nakhi; Wife Masoumah

1995-01-01T23:59:59.000Z

202

Modeling pollutant penetration across building envelopes  

E-Print Network (OSTI)

flows into buildings pass through insulation rather thanbuildings depends substantially on whether or not a large portion o f the airflow passes through fiberglass insulationbuilding envelope. W e considered three wall cavity configurations: uninsulated (Figure 3a), filled with insulation (

Liu, De-Ling

2011-01-01T23:59:59.000Z

203

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...

204

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...

205

Immersive Representation of Building Information Model  

E-Print Network (OSTI)

Building Information Modeling (BIM) is an emerging technology that utilizes 3D graphical representations to improve communication, collaboration, and data exchange. Immersive Visualization Environment (IVE) is another promising technology that enhances the 3D graphical representation to achieve a higher level of a sense of presence. The connection between the BIM technology that utilizes the 3D graphical representation and the IVE technology that enhances the 3D graphical representation has led many professionals to visualize BIM in immersive environments. This study is an attempt to overcome a systematic issue presented by available immersive visualization systems. The problem is that in order to visualize an information-rich BIM model from a commercial BIM application in an immersive visualization environment, the BIM model needs to pass through a tough conversion process and loss a large amount of its information. This research study utilizes the Application Programming Interface (API) of a commercially available BIM application to develop an immersive visualization environment. This approach was applied on Autodesk Navisworks software by developing a software program that utilizes Navisworks' API to control Navisworks' camera angle and generate an immersive visualization environment. A prototype of the approach was built in the Department of Construction Science at Texas A & M University and named BIM CAVE Prototype. The overall goal of this research was to prove that it is possible to transform a commercial BIM application into an immersive visualization system. A phenomenological study was utilized by interviewing subject matter experts from the construction industry. The intent of this effort was to explore and develop a phenomenological understanding of how research participants perceived the BIM CAVE system. The results show that the BIM CAVE can be considered an immersive visualization environment because it contains a majority of the immersive visualization environment features. However, a variety of technical limitations must be overcome before it can be called a fully immersive and functional visualization environment. Moreover, even though this investigation was to some extent successful, this research approach needs to be tested on other commercially available BIM applications before generalizations are made.

Nseir, Hussam

2011-05-01T23:59:59.000Z

206

Building Air Quality & Ventilation Models: Review - Evaluation - Proposals  

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

Building Air Quality & Ventilation Models: Review - Evaluation - Proposals Building Air Quality & Ventilation Models: Review - Evaluation - Proposals Speaker(s): James Axley Date: March 12, 1999 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Richard Sextro Developments in mathematical models for building air quality and ventilation analysis have changed the way we idealize buildings for purposes of analysis, the way we form system equations to effect the analysis, and the way we solve these equations to realize the analysis. While much has been achieved more is possible. This presentation will review the current state of the art - the building idealizations used, the system equations formed, and the solution methods applied - critically evaluate the completeness, complexity and utility of the most advanced models, and present proposals for future development

207

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

208

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

209

Hybrid Model for Building Performance Diagnosis and Optimal Control  

E-Print Network (OSTI)

Modern buildings require continuous performance monitoring, automatic diagnostics and optimal supervisory control. For these applications, simplified dynamic building models are needed to predict the cooling and heating requirement viewing the building as a whole system. This paper proposes a new hybrid model. Half of the model is represented by detailed physical parameters and another half is described by identified parameters. 3R2C thermal network model, which consists of three resistances and two capacitances, is used to simulate building envelope whose parameters are determined in frequency domain using the theoretical frequency characteristics of the envelope. Internal mass is represented by a 2R2C thermal network model, which consists of three resistances and two capacitances. The resistances and capacitances of the 2R2C model are assumed to be constant. A GA (genetic algorithm)-based method is developed for model parameter identification by searching the optimal parameters of 3R2C models of envelopes in frequency domain and that of the 2R2C model of the building internal mass in time domain. As the model is based on the physical characteristics, the hybrid model can be used to predict the cooling and heating energy consumption of buildings accurately in wide range of operation conditions.

Wang, S.; Xu, X.

2003-01-01T23:59:59.000Z

210

Benchmark studies of the Bending Corrected Rotating Linear Model (BCRLM) reactive scattering code: Implications for accurate quantum calculations  

SciTech Connect

The Bending Corrected Rotating Linear Model (BCRLM), developed by Hayes and Walker, is a simple approximation to the true multidimensional scattering problem for reaction of the type: A + BC {yields} AB + C. While the BCRLM method is simpler than methods designed to obtain accurate three dimensional quantum scattering results, this turns out to be a major advantage in terms of our benchmarking studies. The computer code used to obtain BCRLM scattering results is written for the most part in standard FORTRAN and has been reported to several scalar, vector, and parallel architecture computers including the IBM 3090-600J, the Cray XMP and YMP, the Ardent Titan, IBM RISC System/6000, Convex C-1 and the MIPS 2000. Benchmark results will be reported for each of these machines with an emphasis on comparing the scalar, vector, and parallel performance for the standard code with minimum modifications. Detailed analysis of the mapping of the BCRLM approach onto both shared and distributed memory parallel architecture machines indicates the importance of introducing several key changes in the basic strategy and algorithums used to calculate scattering results. This analysis of the BCRLM approach provides some insights into optimal strategies for mapping three dimensional quantum scattering methods, such as the Parker-Pack method, onto shared or distributed memory parallel computers.

Hayes, E.F.; Darakjian, Z. (Rice Univ., Houston, TX (USA). Dept. of Chemistry); Walker, R.B. (Los Alamos National Lab., NM (USA))

1990-01-01T23:59:59.000Z

211

Doing Well By Doing Good? Green Office Buildings  

E-Print Network (OSTI)

energy used in the building), as certified by a professional engineer, achieves certain specified benchmark

Eichholtz, Piet; Kok, Nils; Quigley, John M.

2009-01-01T23:59:59.000Z

212

Doing Well by Doing Good? Green Office Buildings  

E-Print Network (OSTI)

energy used in the building), as certified by a professional engineer, achieves certain specified benchmark

Eichholtz, Piet; Kok, Nils; Quigley, John M.

2009-01-01T23:59:59.000Z

213

Energy Savings Modeling of Standard Commercial Building Re-tuning Measures: Large Office Buildings  

SciTech Connect

Today, many large commercial buildings use sophisticated building automation systems (BASs) to manage a wide range of building equipment. While the capabilities of BASs have increased over time, many buildings still do not fully use the BAS's capabilities and are not properly commissioned, operated or maintained, which leads to inefficient operation, increased energy use, and reduced lifetimes of the equipment. This report investigates the energy savings potential of several common HVAC system retuning measures on a typical large office building prototype model, using the Department of Energy's building energy modeling software, EnergyPlus. The baseline prototype model uses roughly as much energy as an average large office building in existing building stock, but does not utilize any re-tuning measures. Individual re-tuning measures simulated against this baseline include automatic schedule adjustments, damper minimum flow adjustments, thermostat adjustments, as well as dynamic resets (set points that change continuously with building and/or outdoor conditions) to static pressure, supply air temperature, condenser water temperature, chilled and hot water temperature, and chilled and hot water differential pressure set points. Six combinations of these individual measures have been formulated - each designed to conform to limitations to implementation of certain individual measures that might exist in typical buildings. All of these measures and combinations were simulated in 16 cities representative of specific U.S. climate zones. The modeling results suggest that the most effective energy savings measures are those that affect the demand-side of the building (air-systems and schedules). Many of the demand-side individual measures were capable of reducing annual HVAC system energy consumption by over 20% in most cities that were modeled. Supply side measures affecting HVAC plant conditions were only modestly successful (less than 5% annual HVAC energy savings for most cities for all measures). Combining many of the retuning measures revealed deep savings potential. Some of the more aggressive combinations revealed 35-75% reductions in annual HVAC energy consumption, depending on climate and building vintage.

Fernandez, Nicholas; Katipamula, Srinivas; Wang, Weimin; Huang, Yunzhi; Liu, Guopeng

2012-06-01T23:59:59.000Z

214

Commercial Building Indoor Environmental Quality Evaluation: Methods and Tools  

E-Print Network (OSTI)

operation of the building. Setting energy benchmarks withoutbenchmarks is shortsighted. With a focus on low-energy buildings,

Heinzerling, David

2012-01-01T23:59:59.000Z

215

Using Simulation Models for Building Commissioning  

E-Print Network (OSTI)

The International Energy Agency ECBCS Annex 40 “Commissioning of Buildings and HVAC Systems for Improved Energy Performance” task investigating Use of Whole Building Simulation in Commissioning has identified the following applications of whole simulation in the commissioning process: 1) during the design process; 2) in post-construction commissioning of new buildings; 3) design simulation for ongoing commissioning; 4) calibrated simulation for retro commissioning; 5) calibrated simulation for on-going commissioning; and 6) simulation to evaluate new control code. These applications are discussed and examples of each of these applications are provided. The only one of these which has been applied in routine commissioning projects is the use of calibrated simulation for retro commissioning. The other examples have been applied in a research setting, and costs must be lowered for routine application, but there appears to be potential for significant application of simulation in the commissioning process.

Claridge, D. E.

2004-01-01T23:59:59.000Z

216

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

217

Building Bayesian Network Models in Medicine: The MENTOR Experience  

Science Conference Proceedings (OSTI)

An experiment in Bayesian model building from a large medical dataset for Mental Retardation is discussed in this paper. We give a step by step description of the practical aspects of building a Bayesian Network from a dataset. We enumerate and briefly ... Keywords: Bayesian networks, artificial intelligence in medicine, machine learning

Subramani Mani; Marco Valtorta; Suzanne McDermott

2005-03-01T23:59:59.000Z

218

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

219

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....

220

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...

Note: This page contains sample records for the topic "building benchmark models" 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

Building Component Library: An Online Repository to Facilitate Building Energy Model Creation; Preprint  

SciTech Connect

This paper describes the Building Component Library (BCL), the U.S. Department of Energy's (DOE) online repository of building components that can be directly used to create energy models. This comprehensive, searchable library consists of components and measures as well as the metadata which describes them. The library is also designed to allow contributors to easily add new components, providing a continuously growing, standardized list of components for users to draw upon.

Fleming, K.; Long, N.; Swindler, A.

2012-05-01T23:59:59.000Z

222

Building Component Library: An Online Repository to Facilitate Building Energy Model Creation; Preprint  

SciTech Connect

This paper describes the Building Component Library (BCL), the U.S. Department of Energy's (DOE) online repository of building components that can be directly used to create energy models. This comprehensive, searchable library consists of components and measures as well as the metadata which describes them. The library is also designed to allow contributors to easily add new components, providing a continuously growing, standardized list of components for users to draw upon.

Fleming, K.; Long, N.; Swindler, A.

2012-05-01T23:59:59.000Z

223

Model Predictive Control for Energy Efficient Buildings  

E-Print Network (OSTI)

P. Haves et al. “Model Predictive Control of HVAC Systems:Bilinear Model Predictive Control of a HVAC System Usingof model predictive control algorithms for HVAC systems.

Ma, Yudong

2012-01-01T23:59:59.000Z

224

Economic model for height determination of high-rise buildings  

E-Print Network (OSTI)

At present, no clear concise method of optimal height determination for high-rise buildings is being practiced. The primary scope of this dissertation is to see if a practical model, decision making process and list of ...

Zafiris, Christopher

1984-01-01T23:59:59.000Z

225

A Statistical Approach for DeltaQ Modeling Concerning Building...  

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

A Statistical Approach for DeltaQ Modeling Concerning Building Envelope and HVAC Duct Leakage Behavior Prediction Speaker(s): Alexander Dimitrov Date: March 22, 2006 - 12:00pm...

226

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

227

Modeling and optimization of building HVAC systems.  

E-Print Network (OSTI)

??This thesis presents the development of hybrid modeling methodologies for HVAC component static/steady-state models and dynamic/transient models, and the development and implementation of a model-based… (more)

Jin, Guang Yu.

2012-01-01T23:59:59.000Z

228

Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort  

E-Print Network (OSTI)

CLOTHING INSULATION MODELS ON BUILDING ENERGY USE, HVACClothing Insulation Model; Clothing; Building Energy;clothing insulation models on the building simulation is

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

229

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

230

Modeling and Analysis of Solar Radiation Potentials on Building Rooftops  

Science Conference Proceedings (OSTI)

The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.

Omitaomu, Olufemi A [ORNL; Kodysh, Jeffrey B [ORNL; Bhaduri, Budhendra L [ORNL

2012-01-01T23:59:59.000Z

231

Object oriented modelling of variable envelope properties in buildings  

Science Conference Proceedings (OSTI)

The paper deals with some important aspects of continuous systems modelling approaches. Namely the traditional approach is based on block oriented schemes in which causal relations play an important role. However this causality is artificially generated ... Keywords: acausal modelling, intelligent building, object oriented modelling, simulation, thermal flows

Borut Zupan?i?; Anton Sodja

2008-12-01T23:59:59.000Z

232

Evaluating Energy Performance and Improvement Potential of China Office Buildings in the Hot Humid Climate Against U.S. Reference Buildings: Preprint  

SciTech Connect

This study compares the building code standards for office buildings in hot humid climates of China and the USA. A benchmark office building model is developed for Guangzhou, China that meets China's minimum national and regional building codes with incorporation of common design and construction practices for the area. The Guangzhou office benchmark model is compared to the ASHRAE standard based US model for Houston, Texas which has similar climate conditions. The research further uses a building energy optimization tool to optimize the Chinese benchmark with existing US products to identify the primary areas for potential energy savings. The most significant energy-saving options are then presented as recommendations for potential improvements to current China building codes.

Herrman, L.; Deru, M.; Zhai, J.

2010-08-01T23:59:59.000Z

233

Evaluating Energy Performance and Improvement Potential of China Office Buildings in the Hot Humid Climate Against U.S. Reference Buildings: Preprint  

SciTech Connect

This study compares the building code standards for office buildings in hot humid climates of China and the USA. A benchmark office building model is developed for Guangzhou, China that meets China's minimum national and regional building codes with incorporation of common design and construction practices for the area. The Guangzhou office benchmark model is compared to the ASHRAE standard based US model for Houston, Texas which has similar climate conditions. The research further uses a building energy optimization tool to optimize the Chinese benchmark with existing US products to identify the primary areas for potential energy savings. The most significant energy-saving options are then presented as recommendations for potential improvements to current China building codes.

Herrman, L.; Deru, M.; Zhai, J.

2010-08-01T23:59:59.000Z

234

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

235

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

236

Duct thermal performance models for large commercial buildings  

SciTech Connect

Despite the potential for significant energy savings by reducing duct leakage or other thermal losses from duct systems in large commercial buildings, California Title 24 has no provisions to credit energy-efficient duct systems in these buildings. A substantial reason is the lack of readily available simulation tools to demonstrate the energy-saving benefits associated with efficient duct systems in large commercial buildings. The overall goal of the Efficient Distribution Systems (EDS) project within the PIER High Performance Commercial Building Systems Program is to bridge the gaps in current duct thermal performance modeling capabilities, and to expand our understanding of duct thermal performance in California large commercial buildings. As steps toward this goal, our strategy in the EDS project involves two parts: (1) developing a whole-building energy simulation approach for analyzing duct thermal performance in large commercial buildings, and (2) using the tool to identify the energy impacts of duct leakage in California large commercial buildings, in support of future recommendations to address duct performance in the Title 24 Energy Efficiency Standards for Nonresidential Buildings. The specific technical objectives for the EDS project were to: (1) Identify a near-term whole-building energy simulation approach that can be used in the impacts analysis task of this project (see Objective 3), with little or no modification. A secondary objective is to recommend how to proceed with long-term development of an improved compliance tool for Title 24 that addresses duct thermal performance. (2) Develop an Alternative Calculation Method (ACM) change proposal to include a new metric for thermal distribution system efficiency in the reporting requirements for the 2005 Title 24 Standards. The metric will facilitate future comparisons of different system types using a common ''yardstick''. (3) Using the selected near-term simulation approach, assess the impacts of duct system improvements in California large commercial buildings, over a range of building vintages and climates. This assessment will provide a solid foundation for future efforts that address the energy efficiency of large commercial duct systems in Title 24. This report describes our work to address Objective 1, which includes a review of past modeling efforts related to duct thermal performance, and recommends near- and long-term modeling approaches for analyzing duct thermal performance in large commercial buildings.

Wray, Craig P.

2003-10-01T23:59:59.000Z

237

THERM: Two-Dimensional Building Heat-Transfer Modeling  

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

5 5 THERM: Two-Dimensional Building Heat-Transfer Modeling For more information and to download THERM, please visit our website: http://windows.lbl.gov/software/therm The Windows and Daylighting Group's two-year-old computer program THERM 1.0 is a state-of-the-art tool for modeling two-dimensional heat-transfer effects in building components. The thermal property information THERM provides is important for the design and application of building components such as windows, walls, foundations, roofs and doors. This Microsoft Windows-based program has great potential to users such as building component manufacturers, educators, students, architects, engineers and others who are interested in assessing the heat-transfer properties of single products, product interactions, or integrated systems. THERM

238

Buildings Energy Data Book: 3.6 Office Building Markets and Companies  

Buildings Energy Data Book (EERE)

9 9 Energy Benchmarks for Newly Constructed Large Office 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): 31.7 1.7 0.6 1.3 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 498,407 square feet and 12 floors. Benchmark interior lighting energy = 10.7 thousand Btu/SF. Interior equipment energy consumption = 15.94 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

239

Buildings Energy Data Book: 3.6 Office Building Markets and Companies  

Buildings Energy Data Book (EERE)

1 1 Energy Benchmarks for Newly Constructed Medium Office 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): 38.6 0.9 0.8 1.1 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 53,608 square feet and 3 floors. Benchmark interior lighting energy = 10.7 thousand Btu/SF. Interior equipment energy consumption = 18.85 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

240

NREL's Building Component Library for Use with Energy Models  

DOE Data Explorer (OSTI)

The Building Component Library (BCL) is the U.S. Department of Energy’s comprehensive online searchable library of energy modeling building blocks and descriptive metadata. Novice users and seasoned practitioners can use the freely available and uniquely identifiable components to create energy models and cite the sources of input data, which will increase the credibility and reproducibility of their simulations. The BCL contains components which are the building blocks of an energy model. They can represent physical characteristics of the building such as roofs, walls, and windows, or can refer to related operational information such as occupancy and equipment schedules and weather information. Each component is identified through a set of attributes that are specific to its type, as well as other metadata such as provenance information and associated files. The BCL also contains energy conservation measures (ECM), referred to as measures, which describe a change to a building and its associated model. For the BCL, this description attempts to define a measure for reproducible application, either to compare it to a baseline model, to estimate potential energy savings, or to examine the effects of a particular implementation. The BCL currently contains more than 30,000 components and measures. A faceted search mechanism has been implemented on the BCL that allows users to filter through the search results using various facets. Facet categories include component and measure types, data source, and energy modeling software type. All attributes of a component or measure can also be used to filter the results.

Note: This page contains sample records for the topic "building benchmark models" 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

An Integrated Framework for Parametric Design Using Building Energy Models  

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

An Integrated Framework for Parametric Design Using Building Energy Models An Integrated Framework for Parametric Design Using Building Energy Models Speaker(s): Bryan Eisenhower Date: September 22, 2011 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Michael Wetter In this talk we will present a framework for analyses of building energy models including uncertainty and sensitivity analysis, optimization, calibration, and failure mode effect analysis. The methodology begins with efficient uniformly ergodic numerical sampling and regression analysis based on machine learning to derive an analytic representation of the full energy model (e.g. EnergyPlus, TRNSYS, etc). Once these steps are taken, and an analytical representation of the dynamics is obtained, multiple avenues for analysis are opened that were previously impeded by the

242

Multiple-code benchmark simulation study of coupled THMC processes in the excavation disturbed zone associated with geological nuclear waste repositories  

E-Print Network (OSTI)

MULTIPLE-CODE BENCHMARK SIMULATION STUDY OF COUPLED THMCinternational, multiple-code benchmark test (BMT) study isinternational, multiple-model benchmark test (BMT) study of

2006-01-01T23:59:59.000Z

243

U.S. Department of Energy Commercial Reference Building Models of the National Building Stock  

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

Department of Energy Department of Energy Commercial Reference Building Models of the National Building Stock Michael Deru, Kristin Field, Daniel Studer, Kyle Benne, Brent Griffith, and Paul Torcellini National Renewable Energy Laboratory Bing Liu, Mark Halverson, Dave Winiarski, and Michael Rosenberg Pacific Northwest National Laboratory Mehry Yazdanian Lawrence Berkeley National Laboratory Joe Huang Formerly of Lawrence Berkeley National Laboratory Drury Crawley Formerly of the U.S. Department of Energy Technical Report NREL/TP-5500-46861 February 2011 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory

244

Better Buildings Neighborhood Program: Business Model Resources  

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

of Energy Efficiency, October 24-26, 2011. Workshop participants learned about various energy efficiency market business models and discussed strategies for long-term program...

245

Benchmarking a Visual-Basic based multi-component one-dimensional reactive transport modeling tool  

Science Conference Proceedings (OSTI)

We present the details of a comprehensive numerical modeling tool, RT1D, which can be used for simulating biochemical and geochemical reactive transport problems. The code can be run within the standard Microsoft EXCEL Visual Basic platform, and it does ... Keywords: Bioremediation, Geochemical transport, Groundwater models, Numerical model, Reactive transport

Jagadish Torlapati; T. Prabhakar Clement

2013-01-01T23:59:59.000Z

246

Impact of the U.S. National Building Information Model Standard (NBIMS) on Building Energy Performance Simulation  

SciTech Connect

The U.S. National Institute for Building Sciences (NIBS) started the development of the National Building Information Model Standard (NBIMS). Its goal is to define standard sets of data required to describe any given building in necessary detail so that any given AECO industry discipline application can find needed data at any point in the building lifecycle. This will include all data that are used in or are pertinent to building energy performance simulation and analysis. This paper describes the background that lead to the development of NBIMS, its goals and development methodology, its Part 1 (Version 1.0), and its probable impact on building energy performance simulation and analysis.

Bazjanac, Vladimir

2007-08-01T23:59:59.000Z

247

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

248

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...

249

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

250

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

251

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...

252

Lattice Wess-Zumino model with Ginsparg-Wilson fermions: One-loop results and GPU benchmarks  

E-Print Network (OSTI)

We numerically evaluate the one-loop counterterms for the four-dimensional Wess-Zumino model formulated on the lattice using Ginsparg-Wilson fermions of the overlap (Neuberger) variety, together with an auxiliary fermion (plus superpartners), such that a lattice version of $U(1)_R$ symmetry is exactly preserved in the limit of vanishing bare mass. We confirm previous findings by other authors that at one loop there is no renormalization of the superpotential in the lattice theory, but that there is a mismatch in the wavefunction renormalization of the auxiliary field. We study the range of the Dirac operator that results when the auxiliary fermion is integrated out, and show that localization does occur, but that it is less pronounced than the exponential localization of the overlap operator. We also present preliminary simulation results for this model, and outline a strategy for nonperturbative improvement of the lattice supercurrent through measurements of supersymmetry Ward identities. Related to this, some benchmarks for our graphics processing unit code are provided. Our simulation results find a nearly vanishing vacuum expectation value for the auxiliary field, consistent with approximate supersymmetry at weak coupling.

Chen Chen; Eric Dzienkowski; Joel Giedt

2010-05-18T23:59:59.000Z

253

Lattice Wess-Zumino model with Ginsparg-Wilson fermions: One-loop results and GPU benchmarks  

Science Conference Proceedings (OSTI)

We numerically evaluate the one-loop counterterms for the four-dimensional Wess-Zumino model formulated on the lattice using Ginsparg-Wilson fermions of the overlap (Neuberger) variety, together with an auxiliary fermion (plus superpartners), such that a lattice version of U(1){sub R} symmetry is exactly preserved in the limit of vanishing bare mass. We confirm previous findings by other authors that at one loop there is no renormalization of the superpotential in the lattice theory, but that there is a mismatch in the wave-function renormalization of the auxiliary field. We study the range of the Dirac operator that results when the auxiliary fermion is integrated out, and show that localization does occur, but that it is less pronounced than the exponential localization of the overlap operator. We also present preliminary simulation results for this model, and outline a strategy for nonperturbative improvement of the lattice supercurrent through measurements of supersymmetry Ward identities. Related to this, some benchmarks for our graphics processing unit code are provided. Our simulation results find a nearly vanishing vacuum expectation value for the auxiliary field, consistent with approximate supersymmetry at weak coupling.

Chen Chen; Dzienkowski, Eric; Giedt, Joel [Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy New York 12065 (United States)

2010-10-15T23:59:59.000Z

254

Property:Buildings/ModelYear | Open Energy Information  

Open Energy Info (EERE)

Buildings/ModelYear Buildings/ModelYear Jump to: navigation, search This is a property of type Date. Pages using the property "Buildings/ModelYear" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami High Plug Load Baseline + 2009 + General Merchandise 2009 TSD Miami Low Plug Load 50% Energy Savings + 2009 + General Merchandise 2009 TSD Miami Low Plug Load Baseline + 2009 +

255

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect

Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

Garrett, Aaron [Jacksonville State University; New, Joshua Ryan [ORNL; Chandler, Theodore [Jacksonville State University

2013-01-01T23:59:59.000Z

256

Building Energy Software Tools Directory: BuildingAdvice  

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

BuildingAdvice BuildingAdvice BuildingAdvice™ is a user-friendly, Web-based platform designed to assess building energy performance and identify and quantify energy savings opportunities. Target buildings are in the 5k-200k sq. ft. range, with scalability up to 1mm sq. ft. The platform combines 1) portable wireless sensor packages for capture of real-time building data, 2) automated entry of weather data, 3) manual entry of basic building information, and 4) proprietary EnGen™ energy modeling software. Output is a suite of comprehensive reports that benchmark against CBECS; provide key performance parameters including Energy Star rating, energy usage index, energy cost per square foot, and carbon emissions; provide ASHRAE Level II audits that quantify energy usage in four areas of

257

Buildings  

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

The U.S. Department of Energy (DOE) advances building energy performance through the development and promotion of efficient, affordable, and high impact technologies, systems, and practices. The...

258

Benchmark calculation of no-core Monte Carlo shell model in light nuclei  

E-Print Network (OSTI)

The Monte Carlo shell model is firstly applied to the calculation of the no-core shell model in light nuclei. The results are compared with those of the full configuration interaction. The agreements between them are within a few % at most.

T. Abe; P. Maris; T. Otsuka; N. Shimizu; Y. Utsuno; J. P. Vary

2011-07-09T23:59:59.000Z

259

Benchmark calculation of no-core Monte Carlo shell model in light nuclei  

E-Print Network (OSTI)

The Monte Carlo shell model is firstly applied to the calculation of the no-core shell model in light nuclei. The results are compared with those of the full configuration interaction. The agreements between them are within a few % at most.

Abe, T; Otsuka, T; Shimizu, N; Utsuno, Y; Vary, J P; 10.1063/1.3584062

2011-01-01T23:59:59.000Z

260

Benchmark calculation of no-core Monte Carlo shell model in light nuclei  

SciTech Connect

The Monte Carlo shell model is firstly applied to the calculation of the no-core shell model in light nuclei. The results are compared with those of the full configuration interaction. The agreements between them are within a few % at most.

Abe, T.; Shimizu, N. [Department of Physics, the University of Tokyo, Hongo, Tokyo 113-0033 (Japan); Maris, P.; Vary, J. P. [Department of Physics and Astronomy, Iowa State University, Ames, Iowa 50011 (United States); Otsuka, T. [Department of Physics, University of Tokyo, Hongo, Tokyo 113-0033 (Japan); CNS, University of Tokyo, Hongo, Tokyo 113-0033 (Japan); NSCL, Michigan State University, East Lansing, Michigan 48824 (United States); Utsuno, Y. [ASRC, Japan Atomic Energy Agency, Tokai, Ibaraki 319-1195 (Japan)

2011-05-06T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

BENCHMARKING EXERCISES TO VALIDATE THE UPDATED ELLWF GOLDSIM SLIT TRENCH MODEL  

Science Conference Proceedings (OSTI)

The Savannah River National Laboratory (SRNL) results of the 2008 Performance Assessment (PA) (WSRC, 2008) sensitivity/uncertainty analyses conducted for the trenches located in the EArea LowLevel Waste Facility (ELLWF) were subject to review by the United States Department of Energy (U.S. DOE) Low-Level Waste Disposal Facility Federal Review Group (LFRG) (LFRG, 2008). LFRG comments were generally approving of the use of probabilistic modeling in GoldSim to support the quantitative sensitivity analysis. A recommendation was made, however, that the probabilistic models be revised and updated to bolster their defensibility. SRS committed to addressing those comments and, in response, contracted with Neptune and Company to rewrite the three GoldSim models. The initial portion of this work, development of Slit Trench (ST), Engineered Trench (ET) and Components-in-Grout (CIG) trench GoldSim models, has been completed. The work described in this report utilizes these revised models to test and evaluate the results against the 2008 PORFLOW model results. This was accomplished by first performing a rigorous code-to-code comparison of the PORFLOW and GoldSim codes and then performing a deterministic comparison of the two-dimensional (2D) unsaturated zone and three-dimensional (3D) saturated zone PORFLOW Slit Trench models against results from the one-dimensional (1D) GoldSim Slit Trench model. The results of the code-to-code comparison indicate that when the mechanisms of radioactive decay, partitioning of contaminants between solid and fluid, implementation of specific boundary conditions and the imposition of solubility controls were all tested using identical flow fields, that GoldSim and PORFLOW produce nearly identical results. It is also noted that GoldSim has an advantage over PORFLOW in that it simulates all radionuclides simultaneously ? thus avoiding a potential problem as demonstrated in the Case Study (see Section 2.6). Hence, it was concluded that the follow-on work using GoldSim to develop 1D equivalent models of the PORFLOW multi-dimensional models was justified. The comparison of GoldSim 1D equivalent models to PORFLOW multi-dimensional models was made at two locations in the model domains ? at the unsaturated-saturated zone interface and at the 100m point of compliance. PORFLOW model results from the 2008 PA were utilized to investigate the comparison. By making iterative adjustments to certain water flux terms in the GoldSim models it was possible to produce contaminant mass fluxes and water concentrations that were highly similar to the PORFLOW model results at the two locations where comparisons were made. Based on the ability of the GoldSim 1D trench models to produce mass flux and concentration curves that are sufficiently similar to multi-dimensional PORFLOW models for all of the evaluated radionuclides and their progeny, it is concluded that the use of the GoldSim 1D equivalent Slit and Engineered trenches models for further probabilistic sensitivity and uncertainty analysis of ELLWF trench units is justified. A revision to the original report was undertaken to correct mislabeling on the y-axes of the compliance point concentration graphs, to modify the terminology used to define the ?blended? source term Case for the saturated zone to make it consistent with terminology used in the 2008 PA, and to make a more definitive statement regarding the justification of the use of the GoldSim 1D equivalent trench models for follow-on probabilistic sensitivity and uncertainty analysis.

Taylor, G.; Hiergesell, R.

2013-11-12T23:59:59.000Z

262

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

263

Benchmarking GEANT4 nuclear models for carbon-therapy at 95 MeV/A  

E-Print Network (OSTI)

In carbon-therapy, the interaction of the incoming beam with human tissues may lead to the production of a large amount of nuclear fragments and secondary light particles. An accurate estimation of the biological dose deposited into the tumor and the surrounding healthy tissues thus requires sophisticated simulation tools based on nuclear reaction models. The validity of such models requires intensive comparisons with as many sets of experimental data as possible. Up to now, a rather limited set of double di erential carbon fragmentation cross sections have been measured in the energy range used in hadrontherapy (up to 400 MeV/A). However, new data have been recently obtained at intermediate energy (95 MeV/A). The aim of this work is to compare the reaction models embedded in the GEANT4 Monte Carlo toolkit with these new data. The strengths and weaknesses of each tested model, i.e. G4BinaryLightIonReaction, G4QMDReaction and INCL++, coupled to two di fferent de-excitation models, i.e. the generalized evaporation model and the Fermi break-up are discussed.

J. Dudouet; D. Cussol; D. Durand; M. Labalme

2013-09-06T23:59:59.000Z

264

Evaluation study of building-resolved urban dispersion models  

SciTech Connect

For effective emergency response and recovery planning, it is critically important that building-resolved urban dispersion models be evaluated using field data. Several full-physics computational fluid dynamics (CFD) models and semi-empirical building-resolved (SEB) models are being advanced and applied to simulating flow and dispersion in urban areas. To obtain an estimate of the current state-of-readiness of these classes of models, the Department of Homeland Security (DHS) funded a study to compare five CFD models and one SEB model with tracer data from the extensive Midtown Manhattan field study (MID05) conducted during August 2005 as part of the DHS Urban Dispersion Program (UDP; Allwine and Flaherty 2007). Six days of tracer and meteorological experiments were conducted over an approximately 2-km-by-2-km area in Midtown Manhattan just south of Central Park in New York City. A subset of these data was used for model evaluations. The study was conducted such that an evaluation team, independent of the six modeling teams, provided all the input data (e.g., building data, meteorological data and tracer release rates) and run conditions for each of four experimental periods simulated. Tracer concentration data for two of the four experimental periods were provided to the modeling teams for their own evaluation of their respective models to ensure proper setup and operation. Tracer data were not provided for the second two experimental periods to provide for an independent evaluation of the models. The tracer concentrations resulting from the model simulations were provided to the evaluation team in a standard format for consistency in inter-comparing model results. An overview of the model evaluation approach will be given followed by a discussion on the qualitative comparison of the respective models with the field data. Future model developments efforts needed to address modeling gaps identified from this study will also be discussed.

Flaherty, Julia E.; Allwine, K Jerry; Brown, Mike J.; Coirier, WIlliam J.; Ericson, Shawn C.; Hansen, Olav R.; Huber, Alan H.; Kim, Sura; Leach, Martin J.; Mirocha, Jeff D.; Newsom, Rob K.; Patnaik, Gopal; Senocak, Inanc

2007-09-10T23:59:59.000Z

265

Integrate Experiments and Models to Estimate Exposure - (1) Building  

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

Integrate Experiments and Models to Estimate Exposure - (1) Building Integrate Experiments and Models to Estimate Exposure - (1) Building Fumigation and (2) Elemental Mercury Spill Speaker(s): Wanyu Chan Date: February 22, 2010 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Michael Sohn Models that predict exposure concentrations in the indoor and outdoor air can be improved by experiments designed to validate or calibrate the models. This presentation will showcase two examples where experiments and models are integrated to estimate exposure concentrations. One example is the use of methyl bromide as fumigant at food processing facilities. Field studies were conducted at three mill sites that are representative of typical industry practices in terms of size, operation, and fumigation protocol. Concentrations of methyl bromide inside the mills and outdoors

266

Supercomputer assisted generation of machine learning agents for the calibration of building energy models  

Science Conference Proceedings (OSTI)

Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus ... Keywords: big data, building energy modeling, calibration, machine learning, parametric ensemble, supercomputer

Jibonananda Sanyal; Joshua New; Richard Edwards

2013-07-01T23:59:59.000Z

267

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...

268

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.

269

SimModel: A domain data model for whole building energy simulation  

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

SimModel: A domain data model for whole building energy simulation SimModel: A domain data model for whole building energy simulation Title SimModel: A domain data model for whole building energy simulation Publication Type Conference Paper LBNL Report Number LBNL-5566E Year of Publication 2011 Authors O'Donnell, James, Richard See, Cody Rose, Tobias Maile, Vladimir Bazjanac, and Philip Haves Conference Name IBPSA Building Simulation 2011 Date Published 10/2011 Abstract Many inadequacies exist within industry-standard data models as used by present-day whole-building energy simulation software. Tools such as EnergyPlus and DOE-2 use custom schema definitions (IDD and BDL respectively) as opposed to standardized schema definitions (defined in XSD, EXPRESS, etc.). Non-standard data modes lead to a requirement for application developers to develop bespoke interfaces. Such tools have proven to be error prone in their implementation - typically resulting in information loss.

270

State-based Modeling of Buildings and Facilities  

E-Print Network (OSTI)

Research on energy efficiency of today's buildings focuses on the monitoring of a building's behavior while in operation. But without a formalized description of the data measured, including their correlations and in particular the expected measurements, the full potential of the collected data can not necessarily be exploited. Who knows if a measured value is good or bad? This problem becomes more virulent as smart control systems sometimes exhibit intelligent, but unexpected behavior (e.g. starting heating at unconventional times). Therefore we defined a methodology starting already at the design of the building leading to a formalized specification of the implementation of a building's management system, which seamlessly integrates to an intelligent monitoring. DIN EN ISO 16484 proposes a method to describe functional requirements in an easy to understand way. We extended its use of state machines to our proposed concept of state based modeling. This proved to be a wholesome approach to easily model buildings and facilities according to the DIN EN ISO 16484 while providing the possibility to apply sophisticated and meaningful analysis methods during monitoring.

Fisch, M.N.; Pinkernell, C.; Look, M.; Plesser, S.; Rumpe, B.

2011-01-01T23:59:59.000Z

271

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial...  

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

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning Title Towards a Very Low Energy Building Stock:...

272

Integrated Modeling of Building Energy Requirements Incorporating Solar  

E-Print Network (OSTI)

and Renewable Energy, Distributed Energy Program of the U.S. Department of Energy under Contract No. DE-AC02 report LBNL-52753. February 2003. Site information and characteristics EIA (U.S. Energy InformationLBNL-58783 Integrated Modeling of Building Energy Requirements Incorporating Solar Assisted Cooling

273

Visualizing information to improve building performance: a study of expert users  

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

2010-01-01T23:59:59.000Z

274

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

275

Technical Basis and Benchmarking of the Crud Deposition Risk Assessment Model (CORAL)  

Science Conference Proceedings (OSTI)

Deposition of boiling water reactor (BWR) system corrosion products (crud) on operating fuel rods has resulted in performance-limiting conditions in a number of plants. To facilitate improved management of any crud-related fuel performance risk, EPRI has developed the Crud DepOsition Risk Assessment ModeL (CORAL). CORAL incorporates a modified version of the Versatile Internals and Component Program for Reactors ...

2012-08-27T23:59:59.000Z

276

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and  

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

Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Buildings, Energy, Greenhouse Gas, Industrial and Policy Modeling and Simulation Tools Available from Energy Analysis and Environmental Impacts Department Tools header image January 2014 Tools and models to find the best way to save energy and reduce greenhouse gas emissions in cities and industries, to follow the transport of pollutants through the environment, and to calculate the cost of power interruptions are among those available on a new Lawrence Berkeley National Laboratory (Berkeley Lab) web site. The site brings together models and simulation tools developed by the Energy Analysis and Environmental Impacts (EAEI) Department of the Lab's Environmental Energy Technologies Division. "Our hope is that the site will facilitate greater technical awareness of

277

Gaussian Process Modeling: Applications to Building Systems and Algorithmic  

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

Gaussian Process Modeling: Applications to Building Systems and Algorithmic Gaussian Process Modeling: Applications to Building Systems and Algorithmic Challenges Speaker(s): Victor M. Zavala Date: November 5, 2013 - 12:00pm - 1:00pm Location: 90-3122 Seminar Host/Point of Contact: Mary Ann Piette Michael Sohn We review applications and algorithmic challenges of Gaussian Process (GP) modeling. GP is a powerful and flexible uncertainty quantification and data analysis technique that enables the construction of complex models without the need to specify algebraic relationships between variables. This is done by working directly in the space of the kernel or covariance matrix. In addition, it derives from a Bayesian framework and, as such, it naturally provides predictive probability distributions. We describe how these features can be exploited in Measurement and Verification (M&V) tasks and

278

Business Models for Code Compliance | Building Energy Codes Program  

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

Compliance Compliance Site Map Printable Version Development Adoption Compliance Basics Compliance Evaluation Software & Web Tools Regulations Resource Center Business Models for Code Compliance The U.S. Department of Energy is coordinating strategies and activities with companies, individuals, and government entities to demonstrate, quantify, and monetize energy code compliance and coordinate deployment at the local, state, and regional levels. Consumer Assurance through Code Compliance Energy efficiency measures in the buildings sector, if properly realized and captured, provide a tremendous opportunity to reduce energy consumption and expenditures. Yet currently there is a lack of assurance that buildings as designed realize the levels of energy efficiency established in the

279

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...

280

Properties of potential modelling three benchmarks: the cosmological constant, inflation and three generations  

E-Print Network (OSTI)

We argue for a model of low-energy correction to the inflationary potential as caused by the gauge-mediated breaking down the supersymmetry at the scale of $\\mu_\\textsc{x}\\sim 10^4$ GeV, that provides us with the seesaw mechanism of thin domain wall fluctuations in the flat vacuum. The fluctuations are responsible for the vacuum with the cosmological constant at the scale of $\\mu_\\Lambda\\sim 10^{-2}$ eV suppressed by the Planckian mass $m_\\mathtt{Pl}$ via $\\mu_\\Lambda\\sim\\mu_\\textsc{x}^2/m_\\mathtt{Pl}$. The appropriate vacuum state is occupied after the inflation with quartic coupling constant $\\lambda\\sim\\mu_\\textsc{x}/m_\\mathtt{Pl}\\sim 10^{-14}$ inherently related with the bare mass scale of $\\widetilde m\\sim\\sqrt{\\mu_\\textsc{x}m_\\mathtt{Pl}}\\sim 10^{12}$ GeV determining the thickness of domain walls $\\delta r\\sim1/\\widetilde m$. Such the parameters of potential are still marginally consistent with the observed inhomogeneity of matter density in the Universe. The inflationary evolution suggests the vacuum structure compatible with three fermionic generations of matter as well as with observed hierarchies of masses and mixing in the Standard Model.

V. V. Kiselev; S. A. Timofeev

2010-04-23T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

MDAbench: A Tool for Customized Benchmark Generation Using MDA  

E-Print Network (OSTI)

Designing component-based application that meets performance requirements remains a challenging problem, and usually requires a prototype to be constructed to benchmark performance. Building a custom benchmark suite is however costly and tedious. This demonstration illustrates an approach for generating customized component-based benchmark applications using a Model Driven Architecture (MDA) approach. All the platform related plumbing and basic performance testing routines are encapsulated in MDA generation "cartridges" along with default implementations of testing logic. We will show how to use a tailored version of the UML 2.0 Testing Profile to model a customized load testing client. The performance configuration (such as transaction mix and spiking simulations) can also be modeled using the UML model. Executing the generated deployable code will collect the performance testing data automatically. The tool implementation is based on a widely used open source MDA framework AndroMDA. We extended it by providing a cartridge for a performance testing tailored version of the UML 2.0 Testing Profile. Essentially, we use OObased meta-modeling in designing and implementing a lightweight performance testing domain specific language with supporting infrastructure on top of the existing UML testing standard.

Liming Zhu; Yan Liu; Ian Gorton; Ngoc Bao Bui

2005-01-01T23:59:59.000Z

282

Building Component Library: An Online Repository to Facilitate Building Energy Model Creation: Preprint  

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

Component Library: Component Library: An Online Repository to Facilitate Building Energy Model Creation Preprint Katherine Fleming, Nicholas Long, and Alex Swindler To be presented at the ACEEE Summer Study on Energy Efficiency in Buildings Pacific Grove, California August 12-17, 2012 Conference Paper NREL/CP-5500-54710 May 2012 NOTICE The submitted manuscript has been offered by an employee of the Alliance for Sustainable Energy, LLC (Alliance), a contractor of the US Government under Contract No. DE-AC36-08GO28308. Accordingly, the US Government and Alliance retain a nonexclusive royalty-free license to publish or reproduce the published form of this contribution, or allow others to do so, for US Government purposes. This report was prepared as an account of work sponsored by an agency of the United States government.

283

Infiltration modeling guidelines for commercial building energy analysis  

SciTech Connect

This report presents a methodology for modeling air infiltration in EnergyPlus to account for envelope air barrier characteristics. Based on a review of various infiltration modeling options available in EnergyPlus and sensitivity analysis, the linear wind velocity coefficient based on DOE-2 infiltration model is recommended. The methodology described in this report can be used to calculate the EnergyPlus infiltration input for any given building level infiltration rate specified at known pressure difference. The sensitivity analysis shows that EnergyPlus calculates the wind speed based on zone altitude, and the linear wind velocity coefficient represents the variation in infiltration heat loss consistent with building location and weather data.

Gowri, Krishnan; Winiarski, David W.; Jarnagin, Ronald E.

2009-09-30T23:59:59.000Z

284

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

285

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

286

Building Energy Software Tools Directory: Tools by Country - Canada  

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

Canada Canada A C D E F H I M P R S V Tool Applications Free Recently Updated Athena Model life cycle assessment, environment, building materials, buildings Free software. CATALOGUE windows, fenestration, product information, thermal characteristics Free software. DAYSIM annual daylight simulations, electric lighting energy use, lighting controls Free software. Software has been updated. EE4 CBIP whole building performance, building incentives Free software. Software has been updated. EE4 CODE standards and code compliance, whole building energy performance Free software. Software has been updated. Energy Profile Tool benchmarking, energy efficiency screening, end-use energy analysis, building performance analysis, utility programs ENERPASS

287

Validation of Building Energy Modeling Tools Under Idealized and Realistic Conditions  

Science Conference Proceedings (OSTI)

Building energy models provide valuable insight into the energy use of commercial and residential buildings based on the building architecture, materials and thermal loads. They are used in the design of new buildings and the retrofitting to increase the efficiency of older buildings. The accuracy of these models is crucial to reducing the energy use of the United States and building a sustainable energy future. In addition to the architecture and thermal loads of a building, building energy models also must account for the effects of the building's occupants on the energy use of the building. Traditionally simple schedule based methods have been used to account for the effects of the occupants. However, newer research has shown that these methods often result in large differences between the modeled and actual energy use of buildings. In this paper we discuss building energy models and their accuracy in predicting building energy use. In particular we focus on the different types of validation methods which have been used to investigate the accuracy of building energy models and how they account for (or do not account for) the effects of occupants. We also review some of the newer work on stochastic methods for estimating the effects of occupants on building energy use and discuss the improvements necessary to increase the accuracy of building energy models.

Ryan, Emily M.; Sanquist, Thomas F.

2012-04-02T23:59:59.000Z

288

Building 235-F Goldsim Fate And Transport Model  

Science Conference Proceedings (OSTI)

Savannah River National Laboratory (SRNL) personnel, at the request of Area Completion Projects (ACP), evaluated In-Situ Disposal (ISD) alternatives that are under consideration for deactivation and decommissioning (D&D) of Building 235-F and the Building 294-2F Sand Filter. SRNL personnel developed and used a GoldSim fate and transport model, which is consistent with Musall 2012, to evaluate relative to groundwater protection, ISD alternatives that involve either source removal and/or the grouting of portions or all of 235-F. This evaluation was conducted through the development and use of a Building 235-F GoldSim fate and transport model. The model simulates contaminant release from four 235-F process areas and the 294-2F Sand Filter. In addition, it simulates the fate and transport through the vadose zone, the Upper Three Runs (UTR) aquifer, and the Upper Three Runs (UTR) creek. The model is designed as a stochastic model, and as such it can provide both deterministic and stochastic (probabilistic) results. The results show that the median radium activity concentrations exceed the 5 ?Ci/L radium MCL at the edge of the building for all ISD alternatives after 10,000 years, except those with a sufficient amount of inventory removed. A very interesting result was that grouting was shown to basically have minimal effect on the radium activity concentration. During the first 1,000 years grouting may have some small positive benefit relative to radium, however after that it may have a slightly deleterious effect. The Pb-210 results, relative to its 0.06 ?Ci/L PRG, are essentially identical to the radium results, but the Pb-210 results exhibit a lesser degree of exceedance. In summary, some level of inventory removal will be required to ensure that groundwater standards are met.

Taylor, G. A.; Phifer, M. A.

2012-09-14T23:59:59.000Z

289

Commercial Reference Building: Warehouse | OpenEI  

Open Energy Info (EERE)

Warehouse Warehouse 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 Warehouse 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 three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. 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).

290

Buildings Technology Research and Development ...  

Science Conference Proceedings (OSTI)

... is to require that electrical distribution panels be ... energy use of their devices is generally ... with whole building automation systems • Benchmarking ...

2012-04-12T23:59:59.000Z

291

Simulation and Big Data Challenges in Tuning Building Energy Models  

Science Conference Proceedings (OSTI)

EnergyPlus is the flagship building energy simulation software used to model whole building energy consumption for residential and commercial establishments. A typical input to the program often has hundreds, sometimes thousands of parameters which are typically tweaked by a buildings expert to get it right . This process can sometimes take months. Autotune is an ongoing research effort employing machine learning techniques to automate the tuning of the input parameters for an EnergyPlus input description of a building. Even with automation, the computational challenge faced to run the tuning simulation ensemble is daunting and requires the use of supercomputers to make it tractable in time. In this proposal, we describe the scope of the problem, the technical challenges faced and overcome, the machine learning techniques developed and employed, and the software infrastructure developed/in development when taking the EnergyPlus engine, which was primarily designed to run on desktops, and scaling it to run on shared memory supercomputers (Nautilus) and distributed memory supercomputers (Frost and Titan). The parametric simulations produce data in the order of tens to a couple of hundred terabytes.We describe the approaches employed to streamline and reduce bottlenecks in the workflow for this data, which is subsequently being made available for the tuning effort as well as made available publicly for open-science.

Sanyal, Jibonananda [ORNL; New, Joshua Ryan [ORNL

2013-01-01T23:59:59.000Z

292

Efficient 3D building model generation from 2D floor plans  

E-Print Network (OSTI)

3D building models are beneficial to architects, interior designers, and ordinary people in visualizing indoor space in three dimensions. 3D building models appear to be more aesthetic to ordinary people than architectural ...

Kashlev, Dmitry

2008-01-01T23:59:59.000Z

293

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

E-Print Network (OSTI)

characteristics in terms of climate zone, lab type, lab areaapplied: located in climate zone 5A (cool humid); lab type:key characteristics (climate zone, lab area ratio, lab type,

Mathew, Paul

2010-01-01T23:59:59.000Z

294

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

E-Print Network (OSTI)

resets, etc. ) Absorption chillers are typically evaluatedThe efficiency of absorption chillers should not be compared

Mathew, Paul

2010-01-01T23:59:59.000Z

295

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

E-Print Network (OSTI)

factor for fuel oil (BTU/ BTU) SFo: Source factor for otherOil Other fuels District Chilled water District hot water District steam Source

Mathew, Paul

2010-01-01T23:59:59.000Z

296

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

297

Map algebra and model algebra for integrated model building  

Science Conference Proceedings (OSTI)

Computer models are important tools for the assessment of environmental systems. A seamless workflow of construction and coupling of model components is essential for environmental scientists. However, currently available software packages are often ... Keywords: Biomass-harvest model, Component-based modelling, PCRaster, Python, Spatio-temporal simulation

Oliver Schmitz, Derek Karssenberg, Kor De Jong, Jean-Luc De Kok, Steven M. De Jong

2013-10-01T23:59:59.000Z

298

Junior Solar Sprint - So.. You Want To Build A Model Solar Car  

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

6 Revised 82301 So... You Want To Build A Model Solar Car 2 TABLE OF CONTENTS TOPIC PAGE SOLAR ENERGY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

299

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" ...

300

Buildings Energy Data Book: 3.9 Educational Facilities  

Buildings Energy Data Book (EERE)

0 0 Energy Benchmarks for Newly Constructed Primary Schools, 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): 59.6 0.5 3.1 1.4 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 73,932 square feet and 1 floor. Benchmark interior lighting energy = 15.80 thousand Btu/SF. Interior equipment energy consumption = 18.77 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

Note: This page contains sample records for the topic "building benchmark models" 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

Buildings Energy Data Book: 3.9 Educational Facilities  

Buildings Energy Data Book (EERE)

2 2 Energy Benchmarks for Newly Constructed Secondary Schools, 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): 96.7 2.2 2.8 5.5 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 210,810 square feet and 2 floors. Benchmark interior lighting energy = 15.20 thousand Btu/SF. Interior equipment energy consumption = 11.83 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

302

Buildings Energy Data Book: 3.10 Hotels/Motels  

Buildings Energy Data Book (EERE)

5 5 Energy Benchmarks for Newly Constructed Large Hotels, 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): 60.9 13.2 76.3 8.4 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 122,075 square feet and 6 floors. Benchmark interior lighting energy = 11.28 thousand Btu/SF. Interior equipment energy consumption = 24.77 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

303

Buildings Energy Data Book: 3.10 Hotels/Motels  

Buildings Energy Data Book (EERE)

6 6 Energy Benchmarks for Newly Constructed Small Hotels, 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): 36.6 2.7 12.0 3.9 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 43,186 square feet and 4 floors. Benchmark interior lighting energy = 13.79 thousand Btu/SF. Interior equipment energy consumption = 21.98 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

304

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

305

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).

306

Variability of building environmental assessment tools on evaluating carbon emissions  

Science Conference Proceedings (OSTI)

With an increasing importance of sustainability in construction, more and more clients and designers employ building environmental assessment (BEA) tools to evaluate the environmental friendliness of their building facilities, and one important aspect of evaluation in the BEA models is the assessment of carbon emissions. However, in the absence of any agreed framework for carbon auditing and benchmarking, the results generated by the BEA tools might vary significantly which could lead to confusion or misinterpretation on the carbon performance of a building. This study thus aims to unveil the properties of and the standard imposed by the current BEA models on evaluating the life cycle carbon emissions. The analyses cover the (i) weighting of energy efficiency and emission levels among various environmental performance indicators; (ii) building life cycle stages in which carbon is taken into consideration; (iii) objectiveness of assessment; (iv) baseline set for carbon assessment; (v) mechanism for benchmarking the emission level; and (v) limitations of the carbon assessment approaches. Results indicate that the current BEA schemes focus primarily on operational carbon instead of the emissions generated throughout the entire building life cycle. Besides, the baseline and benchmark for carbon evaluation vary significantly among the BEA tools based on the analytical results of a hypothetical building. The findings point to the needs for a more transparent framework for carbon auditing and benchmarking in BEA modeling. - Highlights: Black-Right-Pointing-Pointer Carbon emission evaluation in building environmental assessment schemes are studied. Black-Right-Pointing-Pointer Simulative carbon emission is modeled for building environmental assessment schemes. Black-Right-Pointing-Pointer Carbon assessments focus primarily on operational stage instead of entire lifecycle. Black-Right-Pointing-Pointer Baseline and benchmark of carbon assessment vary greatly among BEA schemes. Black-Right-Pointing-Pointer A more transparent and comprehensive framework for carbon assessment is required.

Ng, S. Thomas, E-mail: tstng@hkucc.hku.hk; Chen Yuan, E-mail: chenyuan4@gmail.com; Wong, James M.W., E-mail: jmwwong@hku.hk

2013-01-15T23:59:59.000Z

307

Modeling and visualization of lifecycle building performance assessment  

Science Conference Proceedings (OSTI)

Lifecycle building performance assessment (LBPA) ensures that buildings perform and operate as intended during building lifecycle. Such assessment activities are typically multi-phase and multi-disciplinary, and generate large amounts of information ...

Ipek Gursel; Sevil Sariyildiz; Ömer Akin; Rudi Stouffs

2009-10-01T23:59:59.000Z

308

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

309

Property:Buildings/ModelClimateZone | Open Energy Information  

Open Energy Info (EERE)

ModelClimateZone ModelClimateZone Jump to: navigation, search This is a property of type Page. It links to pages that use the form Buildings Model. The allowed values for this property are: Climate Zone 1A Climate Zone 1B Climate Zone 2A Climate Zone 2B Climate Zone 3A Climate Zone 3B Climate Zone 3C Climate Zone 4A Climate Zone 4B Climate Zone 4C Climate Zone 5A Climate Zone 5B Climate Zone 5C Climate Zone 6A Climate Zone 6B Climate Zone 7A Climate Zone 7B Climate Zone 8A Climate Zone 8B Pages using the property "Buildings/ModelClimateZone" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + Climate Zone 5A + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Climate Zone 5A + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + Climate Zone 5A +

310

Building energy modeling programs comparison Research on HVAC...  

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

Building energy simulation programs are effective tools for the evaluation of building energy saving and optimization of design. The fact that large discrepancies exist in...

311

Building Energy Software Tools Directory: Energy Demand Modeling  

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

and Renewable Energy EERE Home | Programs & Offices | Consumer Information Building Energy Software Tools Directory Search Search Help Building Energy Software Tools Directory...

312

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

313

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...

314

Property:Buildings/ModelType | Open Energy Information  

Open Energy Info (EERE)

ModelType ModelType Jump to: navigation, search This is a property of type String. The allowed values for this property are: Baseline Minimum Cost Max Tech PV Takeoff Cost Neutral 30% Energy Savings 50% Energy Savings 70% Energy Savings Other Pages using the property "Buildings/ModelType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load Baseline + Baseline + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + Baseline + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + 50% Energy Savings + General Merchandise 2009 TSD Miami High Plug Load Baseline + Baseline +

315

Property:Buildings/ModelName | Open Energy Information  

Open Energy Info (EERE)

ModelName ModelName Jump to: navigation, search This is a property of type String. Pages using the property "Buildings/ModelName" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago High Plug Load Baseline + General Merchandise 2009 TSD Chicago High Plug Load Baseline + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings +

316

Property:Buildings/ModelTargetType | Open Energy Information  

Open Energy Info (EERE)

ModelTargetType ModelTargetType Jump to: navigation, search This is a property of type String. The allowed values for this property are: ASHRAE 90.1 2007 ASHRAE 90.1 2004 ASHRAE 189.1 LEED Pages using the property "Buildings/ModelTargetType" Showing 12 pages using this property. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago High Plug Load Baseline + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago Low Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Chicago Low Plug Load Baseline + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Miami High Plug Load 50% Energy Savings + ASHRAE 90.1 2004 + General Merchandise 2009 TSD Miami High Plug Load Baseline + ASHRAE 90.1 2004 +

317

Commercial Reference Building: Supermarket | OpenEI  

Open Energy Info (EERE)

Supermarket Supermarket 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 Supermarket 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).

318

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

319

ENERGY-EFFICIENT NEW COMMERCIAL BUILDINGS IN THE NORTHWEST REGION: A COMPILATION OF MEASURED DATA  

E-Print Network (OSTI)

buildings' energy use and operating characteristics, in which we compare these buildings to the estimates for new "efficient" buildings and other benchmarks.

Piette, M.A.

2010-01-01T23:59:59.000Z

320

Benchmarking e-business security: A model and framework”, Proceedings of 3rd Australian information security management conference  

E-Print Network (OSTI)

The dynamic nature of threats and vulnerabilities within the E-business environment can impede online functionality, compromise organisational or customer information, contravene security implementations and thereby undermine online customer confidence. To negate these problems, E-business security has to become proactive, by reviewing and continuously improving security to strengthen E-business security measures and policies. This can be achieved through benchmarking the security measures and policies utilised within the Ebusiness, against recognised information technology (IT) and information security (IS) security standards.

Graeme Pye; Matthew J. Warren

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

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

322

Towards a hypermedia approach of data organization in building-modeling CAD systems  

E-Print Network (OSTI)

The development of architectural CAD systems implies a trend of using a comprehensive building model as the storage space for all relevant data about one design project. Instead of a set of drawing files, a building is ...

Zhao, Jian, 1964-

1990-01-01T23:59:59.000Z

323

A three-story prototype commercial building model for energy standard development and assessment  

SciTech Connect

Annual hourly simulation programs are generally used in the development and assessment of the impacts of building energy standards. These simulation programs require the specification of a building model as input to the simulation. Results of the simulations are sensitive to the building model, so care must be taken in the choice of the model to ensure representative results. A three-story prototype commercial building model is being used in developing requirements for the revision of ASHRAE Standard 90.1. The prototype is generic but has the capability to represent a broad range of commercial building types, sizes, orientations, and aspect ratios.

Jarnagin, R.E.

1994-06-01T23:59:59.000Z

324

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

325

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

326

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

327

Modeling National Impacts for the Building America Program  

SciTech Connect

In this paper we present a model to estimate the nationalenergy and economic impacts of the Department of Energy Building Americaprogram. The program goal is to improve energy performance in newresidential construction, by working with builders to design andconstruct energy-efficient homes at minimal cost. The model is anadaptation of the method used to calculate the national energy savingsfor appliance energy efficiency standards. The main difference is thatthe key decision here is not the consumer decision to buy anefficienthouse, but rather the builder decision to offer such a house inthe market. The builder decision is treated by developing a number ofscenarios in which the relative importance of first costs vs. energysavings is varied.

Coughlin, Katie M.; McNeil, Michael A.

2006-06-15T23:59:59.000Z

328

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

329

Building Energy Software Tools Directory: Delphin  

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

Delphin Delphin Delphin logo Delphin is a comprehensive numerical simulation tool for the combined heat, moisture, and matter (e.g. salt) transport in porous building materials. It is mostly applied to calculate transient processes in building envelopes and construction details, and predict condensation problems and durability risks in general. Screen Shots Keywords Coupled heat, air and moisture transport, porous materials, building envelope Validation/Testing The software was tested according to HAMSTAD Benchmarks 1 to 5, EN 15026:2007. The software is also validated to conform with both two-dimensional cases of ISO 10211:2007, Annex A. The testcases are available on http://www.bauklimatik-dresden.de/delphin/benchmarks/en-10211_2007.php The parameterization and transport models are also tested against

330

Buildings and corporate strategy : towards a management system model  

E-Print Network (OSTI)

This thesis focuses on buildings as a subject of attention and inquiry in a corporate setting. It attempts to draw implications for the design of a management system to deal with the special nature of buildings as a resource. ...

Brana, Rodrigo

1985-01-01T23:59:59.000Z

331

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

332

Evidence-based calibration of a building energy simulation model: Application to an office building in Belgium  

E-Print Network (OSTI)

Energy services play a growing role in the control of energy consumption and the improvement of energy efficiency in non-residential buildings. This work consists in the application of a simulation-based approach dedicated to whole-building energy use analysis for use in the frame of an energy efficiency service process. Focus is given to the calibration of a simplified dynamic hourly building energy simulation model by means of available energy use data and to the integration of the calibration process into the Energy Service Process. The developed simulation tool and the associated calibration method are applied to a real case study building located in Brussels, Belgium. The use of an evidence-based method ensures sticking to reality and avoids bad representation and hazardous adjustment of the parameters. Moreover, it is shown that the use of a sensitivity analysis method is of a great help to orient data collection and parameters adjustment processes.

Bertagnolio, S.; Randaxhe, F.; Lemort, V.

2012-01-01T23:59:59.000Z

333

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

334

Studio Education for Integrated Practice Using Building Information Modeling  

E-Print Network (OSTI)

This research study posits that an altered educational approach to design studio can produce future professionals who apply Building Information Modeling (BIM) in the context of Integrated Project Delivery (IPD) to execute designs faster and produce designs that have demonstrably higher performance. The combination of new technologies and social/contractual constructs represents an alternative to the established order for how to design and how to teach designers. BIM emerges as the key technology for facilitating IPD by providing consistent, computable and interoperable information essential to all AEC teams. The increasing trend of BIM adoption is an opportunity for the profession to dramatically change its processes and may potentially impact patterns of responsibility and the paradigms of design. This study showcases a repeatable framework and a theoretical model for the integrated studio using BIM and provides answers to the pedagogical questions raised by BIM, integration, and performance-based design. Using a formative and exploratory action research design, the study proposes a comprehensive pedagogical framework using the established theories of design studio education, building integration, and BIM. The framework was refined and triangulated in a set of focus group studies that include academics, design firms and AEC industry representatives, as well as students. Instrumental case studies implementing the pedagogical framework were conducted as courses in a graduate architecture program. Students' design processes and collaboration schemes were observed using systematic methods that included a broad range of data in conformance with a multi-method research approach. Content analysis of the data provides qualitative evidence for the effectiveness and encountered challenges of BIM methods that is related to proposed studio framework. These findings are corroborated by descriptive statistics and numerical data from the surveys, simulations, reports, and BIM models. Findings of the study illustrate that a carefully designed set of course exercises that incorporate BIM can enhance design processes, increase the depth and the number of alternatives studied, catalyze an interoperable and integrated educational environment, and expand the scope of design learning. Case studies presented here suggest common patterns of collaboration between designers and consultants during the integrated design process using shared BIM models. The findings from the study are synthesized in two theoretical models for the BIM enabled integrated studio and collaborative processes.

O?zener, Ozan O?zener

2009-12-01T23:59:59.000Z

335

Assessment of methods for creating a national building statistics database for atmospheric dispersion modeling  

SciTech Connect

Mesoscale meteorological codes and transport and dispersion models are increasingly being applied in urban areas. Representing urban terrain characteristics in these models is critical for accurate predictions of air flow, heating and cooling, and airborne contaminant concentrations in cities. A key component of urban terrain characterization is the description of building morphology (e.g., height, plan area, frontal area) and derived properties (e.g., roughness length). Methods to determine building morphological statistics range from manual field surveys to automated processing of digital building databases. In order to improve the quality and consistency of mesoscale meteorological and atmospheric dispersion modeling, a national dataset of building morphological statistics is needed. Currently, due to the expense and logistics of conducting detailed field surveys, building statistics have been derived for only small sections of a few cities. In most other cities, modeling projects rely on building statistics estimated using intuition and best guesses. There has been increasing emphasis in recent years to derive building statistics using digital building data or other data sources as a proxy for those data. Although there is a current expansion in public and private sector development of digital building data, at present there is insufficient data to derive a national building statistics database using automated analysis tools. Too many cities lack digital data on building footprints and heights and many of the cities having such data do so for only small areas. Due to the lack of sufficient digital building data, other datasets are used to estimate building statistics. Land use often serves as means to provide building statistics for a model domain, but the strength and consistency of the relationship between land use and building morphology is largely uncertain. In this paper, we investigate whether building statistics can be correlated to the underlying land use. If a reasonable correlation exists, then a national building statistics database could be created since land use is available for the entire U.S. Digital datasets of building footprint and height information have been obtained, validated and analyzed for eight western U.S. cities covering areas ranging from 6 km{sup 2} to 1653 km{sup 2}. Building morphological statistics (including mean and standard deviation of building height, plan area fraction and density, rooftop area density, frontal area index and density, building-to-plan area ratio, complete aspect ratio, height-to-width ratio, roughness length, displacement height, and sky view factor) have been computed for each city at 250-m resolution and are being correlated to underlying land use type. This paper will summarize the building statistics from the eight cites focusing on the variability within each city and between cities as a function of land use.

Velugubantla, S. P. (Srinivas, P.); Burian, S. J. (Steven J.); Brown, M. J. (Michael J.); McKinnon, A. T. (Andrew T.); McPherson, T. N. (Timothy N.); Han, W. S. (Woo Suk)

2004-01-01T23:59:59.000Z

336

90.1 Prototype Building Models High-rise Apartment | Building...  

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

Apartment building type. Publication Date: Tuesday, April 26, 2011 ApartmentHighRise.zip ApartmentHighRiseSTD2004.zip ApartmentHighRiseSTD2007.zip ApartmentHighRiseSTD2010.z...

337

Modeling and simulation of building energy performance for portfolios of public buildings  

Science Conference Proceedings (OSTI)

In the U.S., commercial and residential buildings and their occupants consume more than 40% of total energy and are responsible for 45% of total greenhouse gas (GHG) emissions. Therefore, saving energy and costs, improving energy efficiency and reducing ...

Young M. Lee; Fei Liu; Lianjun An; Huijing Jiang; Chandra Reddy; Raya Horesh; Paul Nevill; Estepan Meliksetian; Pawan Chowdhary; Nat Mills; Young Tae Chae; Jane Snowdon; Jayant Kalagnanam; Joe Emberson; Al Paskevicous; Elliott Jeyaseelan; Robert Forest; Chris Cuthbert; Tony Cupido; Michael Bobker; Janine Belfast

2011-12-01T23:59:59.000Z

338

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

339

Visualizing Energy Information in Commercial Buildings: A Study of Tools, Expert Users, and Building Occupants  

E-Print Network (OSTI)

Media Application for Energy and Building Operations Source:Benchmarking for Net-Zero Energy Buildings. ” 12 Included ina small commercial zero-energy building (ZEB). This team has

Lehrer, David; Vasudev, Janani

2011-01-01T23:59:59.000Z

340

ASSESSING THE MINIMUM INSTRUMENTATION TO WELL TUNE EXISTING MEDIUM SIZED OFFICE BUILDING ENERGY MODELS.  

E-Print Network (OSTI)

??Dynamic whole building energy models (BEMs) are created for various reasons: to evaluate alternative design strategies; compliance checks with energy codes; apply certifications at the… (more)

Xu, Ke

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

Influence of two dynamic predictive clothing insulation models on building energy performance  

E-Print Network (OSTI)

Predictive Clothing Insulation Models on Building Energyunnecessarily higher clothing insulation and lower heatingthat the constant clothing insulation assumption lead to the

Lee, Kwang Ho; Schiavon, Stefano

2013-01-01T23:59:59.000Z

342

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

343

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

344

Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings  

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

Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Title Data Analysis and Modeling of Lighting Energy Use in Large Office Buildings Publication Type Conference Paper Year of Publication 2013 Authors Zhou, Xin, Da Yan, Xiaoxin Ren, and Tianzhen Hong Keywords building simulation, energy use, lighting, modeling, occupant beh building, occupant beh building simulation, occupant behbuilding simulation Abstract Lighting consumes about 20 to 40% of total electricity use in large office buildings in the U.S. and China. In order to develop better lighting simulation models it is crucial to understand the characteristics of lighting energy use. This paper analyzes the main characteristics of lighting energy use over various time scales, based on the statistical analysis of measured lighting energy use of 17 large office buildings in Beijing and Hong Kong. It was found that the daily 24-hour variations of lighting energy use were mainly driven by the schedule of the building occupants. Outdoor illumination levels have little impact on lighting energy use in large office buildings due to the lack of automatic daylighting controls and relatively small perimeter areas. A stochastic lighting energy use model was developed based on different occupant activities during six time periods throughout a day, and the annual distribution of lighting power across those periods. The model was verified using measured lighting energy use of one selected building. This study demonstrates how statistical analysis and stochastic modeling can be applied to lighting energy use. The developed lighting model can be adopted by building energy modeling programs to improve the simulation accuracy of lighting energy use.

345

Commercial Reference Building: Medium Office | OpenEI  

Open Energy Info (EERE)

Medium Office Medium Office 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 Medium Office 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 three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. 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).

346

Commercial Reference Building: Small Office | OpenEI  

Open Energy Info (EERE)

Office Office 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 Small Office 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 three categories: new construction, post-1980 construction existing buildings, pre-1980 construction existing buildings. 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).

347

Model Predictive Control for the Operation of Building Cooling Systems  

E-Print Network (OSTI)

of the chillers and cooling towers, the thermal storage tankthe chillers and cooling towers, the thermal storage tank,of thermal energy storage in building cooling systems.

Ma, Yudong

2010-01-01T23:59:59.000Z

348

Comparison of the Seismic Provisions of Model Building ...  

Science Conference Proceedings (OSTI)

... 3.2.2:* An aallition that is not structurally independent porn an twisting buifding shall be designed and constructed such that the entire building ...

1997-09-03T23:59:59.000Z

349

Model Predictive Control for the Operation of Building Cooling Systems  

E-Print Network (OSTI)

predictive control of thermal energy storage in buildingsystems which use thermal energy storage. In particular thepredictive control of thermal energy storage in building

Ma, Yudong

2010-01-01T23:59:59.000Z

350

Economic model predictive control for building energy systems.  

E-Print Network (OSTI)

??In the United States, buildings account for nearly three quarters of electricity consumption and about 40% of greenhouse gas emissions. The heating, ventilation and air-conditioning… (more)

Ma, Jingran

2012-01-01T23:59:59.000Z

351

Building Energy Software Tools Directory: Tools by Subject - Other  

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

Water Conservation Water Conservation C D E F G H I K M R S T U W Tool Applications Free Recently Updated Cymap Mechanical Load calculation, Pipe sizing & Radiator selection, Duct sizing, Hot and cold water design, SAP, iSBEM, EPCs, Psychrometrics. Dataplus-online monitoring and targeting, energy management, self-billing e-Bench energy benchmarking, environmental benchmarking, energy audit, invoice verification and reconciliation, performance contract verification Software has been updated. E.A.S.Y. - Energy Accounting System for Your Buildings Energy Accounting, OMV System, Building baseline development, Energy and Emissions Savings Software has been updated. EA-QUIP building modeling, energy savings analysis, retrofit optimization (work scope development), investment analysis, online energy analysis tool, multifamily building analysis Software has been updated.

352

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

353

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

354

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...

355

Archive Reference Buildings by Building Type: Large Hotel | Department of  

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

Large Hotel Large Hotel Archive Reference Buildings by Building Type: Large Hotel 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-large_hotel.zip benchmark-v1.1_3.1-large_hotel.zip benchmark-new-v1.2_4.0-large_hotel.zip More Documents & Publications Archive Reference Buildings by Building Type: Small Hotel

356

Archive Reference Buildings by Building Type: Large office | Department of  

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

Large office Large office Archive Reference Buildings by Building Type: Large office 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-large_office.zip benchmark-v1.1_3.1-large_office.zip benchmark-new-v1.2_4.0-large_office.zip More Documents & Publications Archive Reference Buildings by Building Type: Large Hotel

357

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

358

Archive Reference Buildings by Building Type: Medium office | Department of  

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

Medium office Medium office Archive Reference Buildings by Building Type: Medium office 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-medium_office.zip benchmark-v1.1_3.1-medium_office.zip benchmark-new-v1.2_4.0-medium_office.zip More Documents & Publications Archive Reference Buildings by Building Type: Large office

359

The effect of simplifying the building description on the numerical modeling of its thermal performance  

SciTech Connect

A thermal building simulation program is a numerical model that calculates the response of the building envelopes to weather and human activity, simulates dynamic heating and cooling loads, and heating and cooling distribution systems, and models building equipment operation. The scope of the research is to supply the users of such programs with information about the dangers and benefits of simplifying the input to their models. The Introduction describes the advantages of modeling the heat transfer mechanisms in a building. The programs that perform this type of modeling have, however, limitations. The user is therefore often put in the situation of simplifying the floor plans of the building under study, but not being able to check the effects that this approximation introduces in the results of the simulation. Chapter 1 is a description of methods. It also introduces the floor plans for the office building under study and the ``reasonable`` floor plans simplifications. Chapter 2 presents DOE-2, the thermal building simulation program used in the sensitivity study. The evaluation of the accuracy of the DOE-2 program itself is also presented. Chapter 3 contains the sensitivity study. The complicated nature of the process of interpreting the temperature profile inside a space leads to the necessity of defining different building modes. The study compares the results from the model of the detailed building description with the results from the models of the same building having simplified floor plans. The conclusion is reached that a study of the effects of simplifying the floor plans of a building is important mainly for defining the cases in which this approximation is acceptable. Different results are obtained for different air conditioning/load regimes of the building. 9 refs., 24 figs.

Stetiu, C.

1993-07-01T23:59:59.000Z

360

Buildings Energy Data Book: 3.7 Retail Markets and Companies  

Buildings Energy Data Book (EERE)

8 8 Energy Benchmarks for Newly Constructed Supermarkets, 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): 145.6 0.3 0.6 20.5 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 44,985 square feet and 1 floor. Benchmark interior lighting energy = 19.7 thousand Btu/SF. Interior equipment energy consumption = 20.7 thousand Btu/SF. DOE/EERE/BT, Commercial Building Benchmark Models, Version 1.3_5.0, Nov. 2010, accessed January 2012 at

Note: This page contains sample records for the topic "building benchmark models" 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

Model for Naturally Ventilated Cavities on the Exteriors of Opaque Building Thermal Envelopes  

SciTech Connect

This paper describes a model for naturally ventilated cavities on the exterior of opaque building thermal envelopes that are formed by the presence of a lightweight baffle. The model can be used for building components that are slightly detached from the main envelope (but do not connect to the interior).

Griffith, B.

2006-11-01T23:59:59.000Z

362

Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model  

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

Study of Multifamily Study of Multifamily Energy Retrofit using Flexible, Multizone Building Simulation Model Piljae Im, Ph.D. Mini Malhotra, Ph.D. R&D Staff Oak Ridge National Laboratory Presented at Building America Technical Update Meeting April 29-30, 2013 Outline * Multifamily Energy Audit Tool - Background - Needs for MF Audit Tool - Existing MF Tools - Modeling Approach - Development Status * Case Study - Background - Pre/Post Retrofit Building characteristics - Whole Building Energy Analysis * Summary Managed by UT-Battelle for the U.S. Department of Energy Study of Multifamily Energy Retrofit using Flexible, Multizone Building Simulation Model 2 Background * New MF Building Energy Audit Tool sponsored by U.S. DOE * Collaboration of ORNL and LBNL * National web-based

363

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

364

Energy Modeling of a High Performance Building in the U.A.E. for Sustainability Certification  

E-Print Network (OSTI)

The Sheikh Zayed Desert Learning Centre (SZDLC) is a high performance sustainable exhibition center under construction in the U.A.E, aiming for the highest achievable sustainability ratings within the LEED and Estidama sustainability building rating programs. The Leadership in Energy and Environmental Design (LEED) sustainable building program provides a set of criteria for rating sustainable buildings (U.S. Green Building Council 2009). The Estidama rating program, currently in its pilot phase, is an upcoming sustainable building guideline for the Emirate of Abu Dhabi (Urban Planning Council, Abu Dhabi 2008). The Estidama program is similar to LEED in many ways, with a focus on the integrative design process for sustainable building projects. Both of these rating programs assign a large share of points to reducing energy usage which is related to CO2 production. To demonstrate that a design has improved performance, the rating programs encourage the use of whole building energy simulation. The building as it is designed is simulated and compared to a baseline building, where the building envelope and systems are replaced with materials and components meeting minimum acceptable standards. The percentage improvement of the As-Designed building over the Baseline building dictates the number of points awarded in the respective categories. Innovative solutions in managing the simulation complexity and visualizing energy performance were necessitated by the complexity of performing the building simulations. Improved decision support during the design phase and a better understanding of energy usage in the building are expected to improve the energy efficiency, operating costs, and environmental impact of the building. The detail available from an ambitious modeling approach is presented, demonstrating the usefulness of building energy performance simulation for sustainability ratings as well as design decision support.

Jones, M.; Ledinger, S.

2010-01-01T23:59:59.000Z

365

Convective Building of a Pycnocline: A Two-Dimensional Nonhydrostatic Numerical Model  

Science Conference Proceedings (OSTI)

The convective building of a pycnocline is examined using a two-dimensional nonhydrostatic numerical model forced by a balanced salinity dipole (source and sink). Although the forcing fields are steady, the model develops oscillations that renew ...

David W. Pierce; Peter B. Rhines

1997-06-01T23:59:59.000Z

366

A simplified software architecture for self-updating Building Information Models (BIM)  

E-Print Network (OSTI)

Building Information Modeling (BIM) is an emerging software technology that is revolutionizing the architecture, engineering, and construction (A/E/C) industry. BIM technology employs "object-based 3D models-containing the ...

Fuller, Pierre (Pierre Henri)

2009-01-01T23:59:59.000Z

367

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

368

Comparison and validation of HEU and LEU modeling results to HEU experimental benchmark data for the Massachusetts Institute of Technology MITR reactor.  

Science Conference Proceedings (OSTI)

The Massachusetts Institute of Technology Reactor (MITR-II) is a research reactor in Cambridge, Massachusetts designed primarily for experiments using neutron beam and in-core irradiation facilities. It delivers a neutron flux comparable to current LWR power reactors in a compact 6 MW core using Highly Enriched Uranium (HEU) fuel. In the framework of its non-proliferation policies, the international community presently aims to minimize the amount of nuclear material available that could be used for nuclear weapons. In this geopolitical context, most research and test reactors both domestic and international have started a program of conversion to the use of Low Enriched Uranium (LEU) fuel. A new type of LEU fuel based on an alloy of uranium and molybdenum (UMo) is expected to allow the conversion of U.S. domestic high performance reactors like the MITR-II reactor. Towards this goal, comparisons of MCNP5 Monte Carlo neutronic modeling results for HEU and LEU cores have been performed. Validation of the model has been based upon comparison to HEU experimental benchmark data for the MITR-II. The objective of this work was to demonstrate a model which could represent the experimental HEU data, and therefore could provide a basis to demonstrate LEU core performance. This report presents an overview of MITR-II model geometry and material definitions which have been verified, and updated as required during the course of validation to represent the specifications of the MITR-II reactor. Results of calculations are presented for comparisons to historical HEU start-up data from 1975-1976, and to other experimental benchmark data available for the MITR-II Reactor through 2009. This report also presents results of steady state neutronic analysis of an all-fresh LEU fueled core. Where possible, HEU and LEU calculations were performed for conditions equivalent to HEU experiments, which serves as a starting point for safety analyses for conversion of MITR-II from the use of HEU fuel to the use of UMo LEU fuel.

Newton, T. H.; Wilson, E. H; Bergeron, A.; Horelik, N.; Stevens, J. (Nuclear Engineering Division); (MIT Nuclear Reactor Lab.)

2011-03-02T23:59:59.000Z

369

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

370

Creative agencies : a model for building community capacity  

E-Print Network (OSTI)

This research investigates how existing initiatives based in artistic and non-artistic disciplines build indigenous capacity for leadership in disenfranchised communities through the application of the creative process. ...

Ramaccia, Elizabeth M. (Elizabeth Marie)

2011-01-01T23:59:59.000Z

371

Design and thermal modeling of a residential building  

E-Print Network (OSTI)

Recent trends of green energy upgrade in commercial buildings show promise for application to residential houses as well, where there are potential energy-saving benefits of retrofitting the residential heating system from ...

Yeh, Alice Su-Chin

2009-01-01T23:59:59.000Z

372

Residential Buildings  

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

Apartment building exterior and interior Apartment building exterior and interior Residential Buildings EETD's research in residential buildings addresses problems associated with whole-building integration involving modeling, measurement, design, and operation. Areas of research include the movement of air and associated penalties involving distribution of pollutants, energy and fresh air. Contacts Max Sherman MHSherman@lbl.gov (510) 486-4022 Iain Walker ISWalker@lbl.gov (510) 486-4692 Links Residential Building Systems Group Batteries and Fuel Cells Buildings Energy Efficiency Applications Commercial Buildings Cool Roofs and Heat Islands Demand Response Energy Efficiency Program and Market Trends High Technology and Industrial Systems Lighting Systems Residential Buildings Simulation Tools Sustainable Federal Operations

373

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

374

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

375

Commercial Reference Building: Primary School | OpenEI  

Open Energy Info (EERE)

Primary School Primary School 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 Primary School 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 the three 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).

376

Commercial Reference Building: Secondary School | OpenEI  

Open Energy Info (EERE)

Secondary School Secondary School 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 Secondary School 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 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).

377

Commercial Reference Building: Full Service Restaurant | OpenEI  

Open Energy Info (EERE)

Full Service Restaurant Full Service Restaurant 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 Full-Service Restaurant 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).

378

Commercial Reference Building: Stand-alone Retail | OpenEI  

Open Energy Info (EERE)

Stand-alone Retail Stand-alone Retail 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 Stand-alone Retail 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).

379

Commercial Reference Building: Large Office | OpenEI  

Open Energy Info (EERE)

Office Office 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 Large office 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 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).

380

Commercial Reference Building: Quick Service Restaurant | OpenEI  

Open Energy Info (EERE)

Quick Service Restaurant Quick Service Restaurant 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 Quick Service Restaurant 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).

Note: This page contains sample records for the topic "building benchmark models" 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

Commercial Reference Building: Midrise Apartment | OpenEI  

Open Energy Info (EERE)

Midrise Apartment Midrise Apartment 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 Midrise Apartment, 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 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).

382

Commercial Reference Building: Strip Mall | OpenEI  

Open Energy Info (EERE)

Strip Mall Strip Mall 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 Strip Mall 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 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).

383

Commercial Reference Building: Large Hotel | OpenEI  

Open Energy Info (EERE)

Hotel Hotel 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 Large Hotel 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).

384

Commercial Reference Building: Outpatient Health Care | OpenEI  

Open Energy Info (EERE)

Outpatient Health Care Outpatient Health Care 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 Outpatient Health Care 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).

385

Supercomputer Assisted Generation of Machine Learning Agents for the Calibration of Building Energy Models  

SciTech Connect

Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrot pur- poses. EnergyPlus is the agship Department of Energy software that performs BEM for dierent types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have to be calibrated manu- ally by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building en- ergy modeling unfeasible for smaller projects. In this paper, we describe the \\Autotune" research which employs machine learning algorithms to generate agents for the dierent kinds of standard reference buildings in the U.S. building stock. The parametric space and the variety of building locations and types make this a challenging computational problem necessitating the use of supercomputers. Millions of En- ergyPlus simulations are run on supercomputers which are subsequently used to train machine learning algorithms to generate agents. These agents, once created, can then run in a fraction of the time thereby allowing cost-eective cali- bration of building models.

Sanyal, Jibonananda [ORNL; New, Joshua Ryan [ORNL; Edwards, Richard [ORNL

2013-01-01T23:59:59.000Z

386

Occupancy Modeling and Prediction for Building Energy Varick L. Erickson, University of California, Merced  

E-Print Network (OSTI)

response HVAC control strategy," in proceedings of the 2nd ACM Workshop on Embedded Sensing SystemsA Occupancy Modeling and Prediction for Building Energy Management Varick L. Erickson, University into building conditioning system for usage based demand control conditioning strategies. Using strategies based

Cerpa, Alberto E.

387

Building Outline Extraction from Digital Elevation Models Using Marked Point Processes  

Science Conference Proceedings (OSTI)

This work presents an automatic algorithm for extracting vectorial land registers from altimetric data in dense urban areas. We focus on elementary shape extraction and propose a method that extracts rectangular buildings. The result is a vectorial land ... Keywords: MCMC, RJMCMC, building detection, dense urban area, digital elevation models, image processing, inhomogeneous Poisson point process, land register, laser data, simulated annealing, stochastic geometry

Mathias Ortner; Xavier Descombes; Josiane Zerubia

2007-04-01T23:59:59.000Z

388

Proceedings of ASHRAE-DOE-BTECC Conference on Building Thermal Envelopes Simplified Modeling for  

E-Print Network (OSTI)

in the envelopes of residential buildings is the primary mechanism to pro- vide ventilation to those buildings. For radon the same mechanisms that drive the ven- tilation, drive the radon entry from soil gas. This paper leakage, air flow, energy conservation, energy calculation, environment, health, modeling. #12

389

Object-Oriented Database for Managing Building Modeling Components and Metadata: Preprint  

SciTech Connect

Building simulation enables users to explore and evaluate multiple building designs. When tools for optimization, parametrics, and uncertainty analysis are combined with analysis engines, the sheer number of discrete simulation datasets makes it difficult to keep track of the inputs. The integrity of the input data is critical to designers, engineers, and researchers for code compliance, validation, and building commissioning long after the simulations are finished. This paper discusses an application that stores inputs needed for building energy modeling in a searchable, indexable, flexible, and scalable database to help address the problem of managing simulation input data.

Long, N.; Fleming, K.; Brackney, L.

2011-12-01T23:59:59.000Z

390

Energy Efficiency Evaluation and Planning for Existing Buildings |  

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

Energy Energy Efficiency Evaluation and Planning for Existing Buildings Energy Efficiency Evaluation and Planning for Existing Buildings October 4, 2013 - 4:51pm Addthis 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

391

Model-Based Control: Development of a software tool for responsive building  

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

Model-Based Control: Development of a software tool for responsive building Model-Based Control: Development of a software tool for responsive building research, design and operation Speaker(s): Brian Coffey Date: June 28, 2006 - 12:00pm Location: 90-4133 Seminar Host/Point of Contact: Peng Xu Model-based control approaches the problem of optimal supervisory control for complex building systems by using discrete timesteps and searching for an optimal control configuration at each timestep, using a detailed building model and an optimization algorithm. Although the approach itself is not new (it was proposed at least as early as 1988), it is only during the past five to ten years that readily-available computation power has allowed researchers to consider this approach with complex system models. Recent research has developed and tested this approach for active solar

392

Revisiting Naur's programming as theory building for enterprise architecture modelling  

Science Conference Proceedings (OSTI)

The recent burgeoning interest in Enterprise Architecture and its focus on artifact driven methods is taken as a motivation for the re-appraisal of Peter Naur's notion of "programming as theory building". Naur strongly disputes the value of the role ...

Balbir S. Barn; Tony Clark

2011-06-01T23:59:59.000Z

393

Benchmarking of the MIT High Temperature Gas-cooled Reactor TRISO-coated particle fuel performance model  

E-Print Network (OSTI)

MIT has developed a Coated Particle Fuel Performance Model to study the behavior of TRISO nuclear fuels. The code, TIMCOAT, is designed to assess the mechanical and chemical condition of populations of coated particles and ...

Stawicki, Michael A

2006-01-01T23:59:59.000Z

394

Senior Design Projects 2013 Project Title 1 : Monte Carlo Simulations Using a Benchmark Full-Core Pressured Water Rector Model  

E-Print Network (OSTI)

defined in MCNP. There are a number of approaches in parallel high performance computing that can and 7,168 GPUs. The high performance computing industry is moving toward a hybrid computer model, where

Danon, Yaron

395

Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings  

SciTech Connect

This study examines the effective moisture penetration depth (EMPD) model, and its suitability for building simulations. The EMPD model is a compromise between the simple, inaccurate effective capacitance approach and the complex, yet accurate, finite-difference approach. Two formulations of the EMPD model were examined, including the model used in the EnergyPlus building simulation software. An error in the EMPD model we uncovered was fixed with the release of EnergyPlus version 7.2, and the EMPD model in earlier versions of EnergyPlus should not be used.

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

2013-01-01T23:59:59.000Z

396

A Model for Flow and Dispersion Around Buildings and Its Validation Using Laboratory Measurements  

DOE Green Energy (OSTI)

Numerical modeling of airflow and pollutant dispersion around buildings is a challenging task due to the geometrical variations of buildings and the extremely complex flow created by such surface-mounted obstacles. The airflow around buildings inevitably involves impingement and separation regions, a multiple vortex system with building wakes, and jetting effects in street canyons. The interference from adjacent buildings further complicates the flow and dispersion patterns. Thus accurate simulations of such flow and pollutant transport require not only appropriate physics submodels but also accurate numerics and significant computing resources. We have developed an efficient, high resolution CFD model for such purposes, with a primary goal to support incident response and preparedness in emergency response planning, vulnerability analysis, and the development of mitigation techniques.

Chan, S.T.; Stevens, D.; Lee, R.

2000-05-17T23:59:59.000Z

397

Validation and Application of the Room Model of the Modelica Buildings  

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

Validation and Application of the Room Model of the Modelica Buildings Validation and Application of the Room Model of the Modelica Buildings Library Title Validation and Application of the Room Model of the Modelica Buildings Library Publication Type Conference Proceedings LBNL Report Number LBNL-5932E Year of Publication 2012 Authors Nouidui, Thierry Stephane, Kaustubh Phalak, Wangda Zuo, and Michael Wetter Conference Name Proc. of the 9th International Modelica Conference Date Published 09/2012 Conference Location Munich, Germany Abstract The Modelica Buildings library contains a package with a model for a thermal zone that computes heat transfer through the building envelope and within a room. It considers various heat transfer phenomena of a room, including conduction, convection, short-wave and long-wave radiation. The first part of this paper describes the physical phenomena considered in the room model. The second part validates the room model by using a standard test suite provided by the American Society of Heating, Refrigerating and Air-Conditioning Engineers (ASHRAE). The third part focuses on an application where the room model is used for simulation-based controls of a window shading device to reduce building energy consumption.

398

Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model  

Open Energy Info (EERE)

Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Nicaragua-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Nicaragua Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

399

Low-Carbon Energy for Central America: Building a Regional Model | Open  

Open Energy Info (EERE)

Low-Carbon Energy for Central America: Building a Regional Model Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Belize, Costa Rica, El Salvador, Guatemala, Honduras, Nicaragua, Panama Central America, Central America, Central America, Central America, Central America, Central America, Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for

400

Honduras-Low-Carbon Energy for Central America: Building a Regional Model |  

Open Energy Info (EERE)

Honduras-Low-Carbon Energy for Central America: Building a Regional Model Honduras-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Honduras-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Honduras Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

Note: This page contains sample records for the topic "building benchmark models" 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

Belize-Low-Carbon Energy for Central America: Building a Regional Model |  

Open Energy Info (EERE)

Belize-Low-Carbon Energy for Central America: Building a Regional Model Belize-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Belize-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Belize Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

402

Costa Rica-Low-Carbon Energy for Central America: Building a Regional Model  

Open Energy Info (EERE)

Costa Rica-Low-Carbon Energy for Central America: Building a Regional Model Costa Rica-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Costa-Rica-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Costa Rica Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

403

Micrometeorological Modeling of Radiative and Convective Effects with a Building-Resolving Code  

Science Conference Proceedings (OSTI)

In many micrometeorological studies with computational fluid dynamics, building-resolving models usually assume a neutral atmosphere. Nevertheless, urban radiative transfers play an important role because of their influence on the energy budget. ...

Yongfeng Qu; Maya Milliez; Luc Musson-Genon; Bertrand Carissimo

2011-08-01T23:59:59.000Z

404

Critical Simulation Based Evaluation of Thermally Activated Building Systems (TABS) Design Models  

E-Print Network (OSTI)

Building index YOC Climate zone Use and loads Envelope CAin California CZ03 climate zone. The design models wereinvestigated the California climate zones CZ03, CZ04, CZ05,

Basu, Chandrayee

2012-01-01T23:59:59.000Z

405

Fire modeling for Building 221-T - T Plant Canyon Deck and Railroad Tunnel  

Science Conference Proceedings (OSTI)

This report was prepared by Hughes Associates, Inc. to document the results of fire models for building 221-T Canyon Deck and Railroad Tunnel. Backup data is contained in document No. WHC-SD-CP-ANAL-010, Rev. 0.

Oar, D.L.

1994-09-29T23:59:59.000Z

406

Comparing EM Models to RCS Measurements for Building-Penetration Radar  

SciTech Connect

For the DARPA VisiBuilding program, SRI International and Lawrence Livermore National Laboratory are using a variety of electromagnetic (EM) simulation codes and measurement techniques to analyze how radar pulses interact with building structures and materials. Of primary interest is how interior wall and corner reflections are delayed, attenuated, and dispersed by the exterior wall materials. In this paper, we compare microwave frequency-domain radar cross section (RCS) chamber measurements of scale models of simple buildings to finite-element and finite-difference full-wave time-domain and ray-tracing models. The ability to accurately reconstruct the building from these models is compared with the reconstruction from chamber measurements. We observe that careful attention to the spatial sampling in the EM models is essential to achieving good reconstruction at the higher frequencies.

Fasenfest, B; Ueberschaer, R

2007-05-18T23:59:59.000Z

407

Guatemala-Low-Carbon Energy for Central America: Building a Regional Model  

Open Energy Info (EERE)

Guatemala-Low-Carbon Energy for Central America: Building a Regional Model Guatemala-Low-Carbon Energy for Central America: Building a Regional Model Jump to: navigation, search Name Guatemala-Low-Carbon Energy for Central America: Building a Regional Model Agency/Company /Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background analysis, Implementation, Low emission development planning, Policies/deployment programs Website http://www.worldwatch.org/node Country Guatemala Central America References Low-Carbon Energy for Central America: Building a Regional Model[1] Overview "This project will design a unified low-carbon development strategy for Central America through the use of renewable energy and energy efficiency maps, followed by technical, economic, and social feasibility studies for

408

Archive Reference Buildings by Building Type: Restaurant | Department of  

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

Restaurant Restaurant Archive Reference Buildings by Building Type: Restaurant 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-sit_down_restaurant.zip benchmark-v1.1_3.1-sit_down_restaurant.zip benchmark-new-v1.2_4.0-full_service_restaurant.zip More Documents & Publications

409

Tips for Planning, Building, and Testing a Model Car  

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

Tips for Planning, Building, and Testing Your Lithium- Ion Battery Powered Car CONTENTS:  Teacher Overview  What Teachers Can Do To Help  Student Design Plan  Brainstorming  Materials  Chassis Design  Transmission  Gear Ratio  Wheels and Bearings  Battery  Testing  Trouble Shooting TEACHER OVERVIEW  The Lithium-ion battery powered car competition is designed to be an engineering challenge for middle school students.  Students will be exploring the following concepts while planning, building and testing their cars:  Alternative energy sources  Engineering design  Aerodynamics  Force and motion  Teamwork  Problem solving  Teams who do not have a completed car at the

410

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

411

Towards a Very Low Energy Building Stock: Modeling the U.S. Commercial Building Sector to Support Policy and Innovation Planning  

SciTech Connect

This paper describes the origin, structure and continuing development of a model of time varying energy consumption in the US commercial building stock. The model is based on a flexible structure that disaggregates the stock into various categories (e.g. by building type, climate, vintage and life-cycle stage) and assigns attributes to each of these (e.g. floor area and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections. In addition to supporting the interactive exploration of building stock dynamics, the model has been used to study the likely outcomes of specific policy and innovation scenarios targeting very low future energy consumption in the building stock. Model use has highlighted the scale of the challenge of meeting targets stated by various government and professional bodies, and the importance of considering both new construction and existing buildings.

Coffey, Brian; Borgeson, Sam; Selkowitz, Stephen; Apte, Josh; Mathew, Paul; Haves, Philip

2009-07-01T23:59:59.000Z

412

Benchmark of Atucha-2 PHWR RELAP5-3D control rod model by Monte Carlo MCNP5 core calculation  

Science Conference Proceedings (OSTI)

Atucha-2 is a Siemens-designed PHWR reactor under construction in the Republic of Argentina. Its geometrical complexity and peculiarities require the adoption of advanced Monte Carlo codes for performing realistic neutronic simulations. Therefore core models of Atucha-2 PHWR were developed using MCNP5. In this work a methodology was set up to collect the flux in the hexagonal mesh by which the Atucha-2 core is represented. The scope of this activity is to evaluate the effect of obliquely inserted control rod on neutron flux in order to validate the RELAP5-3D{sup C}/NESTLE three dimensional neutron kinetic coupled thermal-hydraulic model, applied by GRNSPG/UNIPI for performing selected transients of Chapter 15 FSAR of Atucha-2. (authors)

Pecchia, M.; D'Auria, F. [San Piero A Grado Nuclear Research Group GRNSPG, Univ. of Pisa, via Diotisalvi, 2, 56122 - Pisa (Italy); Mazzantini, O. [Nucleo-electrica Argentina Societad Anonima NA-SA, Buenos Aires (Argentina)

2012-07-01T23:59:59.000Z

413

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

414

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS  

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

DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN DATA ANALYSIS AND MODELING OF LIGHTING ENERGY USE IN LARGE OFFICE BUILDINGS Xin Zhou 1 , Da Yan 1, , Xiaoxin Ren 1 , Tianzhen Hong 2 1 Department of Building Science, School of Architecture, Tsinghua University, Beijing, China 2 Lawrence Berkeley National Laboratory, 1 Cyclotron Road, Berkeley, CA 94720, USA ABSTRACT Lighting consumes about 20 to 40% of total electricity use in large office buildings in the U.S. and China. In order to develop better lighting simulation models it is crucial to understand the characteristics of lighting energy use. This paper analyzes the main characteristics of lighting energy use over various time scales, based on the statistical analysis of measured lighting energy use of 17 large office buildings in Beijing and Hong Kong. It was found that the daily 24-hour

415

Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort  

E-Print Network (OSTI)

Predictive Clothing Insulation Models based on Outdoor AirPREDICTIVE CLOTHING INSULATION MODELS ON BUILDING ENERGYthat the clothing insulation is equal to a constant value of

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

416

Urban Dispersion Modeling: Comparison with Single-Building Measurements  

Science Conference Proceedings (OSTI)

Two models have been developed to predict airflow and dispersion in urban environments. The first model, the Realistic Urban Spread and Transport of Intrusive Contaminants (RUSTIC) model, is a fast-running urban airflow code that rapidly ...

Steve R. Diehl; Donald A. Burrows; Eric A. Hendricks; Robert Keith

2007-12-01T23:59:59.000Z

417

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...

418

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...

419

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...

420

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...

Note: This page contains sample records for the topic "building benchmark models" 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

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

422

Communicating Building Energy Performance  

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

Communicating Building Energy Performance Communicating Building Energy Performance Speaker(s): William Bordass Date: August 26, 2008 - 12:00pm Location: 90-3075 Seminar Host/Point of Contact: Paul Mathew The heightened interest in building energy performance has exposed problems with reporting and benchmarking. Established conventions may no longer suit current needs, and new complications are emerging as national and corporate reporting (e.g. for carbon accounting and trading) begin to impact on the certification and labelling of building energy performance. If we are to achieve genuinely low-energy and carbon buildings, we need to get much better at reporting and benchmarking our intentions and outcomes, and particularly making performance visible and communicating it to all the people concerned. In design, this could help us to reduce the persistent

423

Building Energy Software Tools Directory: UtilityTrac  

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

savings measurement and verification Provides weather analysis reports with normalized energy usage Benchmark and compare similar buildings' usage and costs by square foot and A...

424

Building reliable activity models using hierarchical shrinkage and mined ontology  

Science Conference Proceedings (OSTI)

Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in performing them. Proposed techniques for constructing these models (hand definition, ...

Emmanuel Munguia Tapia; Tanzeem Choudhury; Matthai Philipose

2006-05-01T23:59:59.000Z

425

Automatic Building of Structured Geological Models Sylvain Brandel1  

E-Print Network (OSTI)

geological models used for oil and gas exploration. We present a prototype of a "geological pilot" which Modeling for oil and gas exploration Hydrocarbon reservoir models are a major tool currently used involved in oil and gas exploration have acquired a huge amount of seismic data, which are neither

Brandel, Sylvain

426

A critical analysis on the effectiveness of energy performance assessment for green building labelling scheme in Hong Kong.  

E-Print Network (OSTI)

???Green building labelling system is widely accepted worldwide for benchmarking the environmental performance of buildings, which provides ratings and labels to indicate the achievement of… (more)

Leu, Ching Yin (???)

2012-01-01T23:59:59.000Z

427

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

428

ENERGY STAR ® Building Manual  

E-Print Network (OSTI)

Businesses are reducing their energy use by 30 percent or more through effective energy management practices that involve assessing energy performance, setting energy savings goals, and regularly evaluating progress. Building-level energy performance benchmarking is an integral part of this effort. It provides the reference points necessary for developing sound energy management practices and strategies and for gauging their effectiveness. Energy use benchmarking is a process that either compares the energy use of a building or group of buildings with other similar structures or looks at how energy use varies from a baseline. It is a critical step in any building upgrade project, because it informs organizations about how and where they use energy and what factors drive their energy use. Benchmarking enables energy managers to determine the key metrics for assessing performance, to establish baselines, and to set goals for energy performance. It also helps them identify building upgrade opportunities that can increase profitability by lowering energy and operating costs, and it facilitates continuous improvement by providing diagnostic measures to evaluate performance over time. Benchmarking energy performance helps energy managers to identify best practices that can

unknown authors

2008-01-01T23:59:59.000Z

429

DOE Commercial Building Asset Rating: An Application of Centralized Modeling Tools  

SciTech Connect

This paper presents a novel approach used to develop the U.S. Department of Energy (DOE) Commercial Building Asset Rating, which is intended to help building owners better understand the installed system performance and the total energy use. A simplified data collection and energy-modeling method is employed to disaggregate building energy information. Furthermore, the approach outlined will also include a mechanism for identifying energy improvement opportunities. A detailed modeling approach to formulate an Asset Rating would most likely provide the greatest flexibility and accuracy. Such an approach would, however, require a substantial amount of user investment for collecting the energy audit, data and hiring a professional to perform energy modeling and analysis. A simplified model approach requires fewer input combinations, which could reduce opportunities for error and allow an inexperienced user to quickly develop energy models. However, the accuracy of the results is often questionable. To address the above issue, the method presented in this paper separates model inputs into categories based on overall energy impact, difficulty to obtain, and variability among buildings. We outline an approach that will allow great flexibility in terms of how many and which of the different categories of variables must be found to produce an accurate energy model. The approach will allow all key variables to be inferred from some minimum set of variables while at the same time allowing a user to enter many more variables if he or she has reliable values for them. The approach outlined will also provide constant values for some variables and algorithms for finding those which are very difficult to determine in the field. The whole of this approach will reduce modeling time and expertise required while maintaining accuracy and the ability to support the variability and complexity that exist in buildings. Therefore, the goals of facilitating cost-effective investment in energy efficiency and reducing energy use in the commercial building sector are met.

Wang, Na; Gorrissen, Willy J.; Srivastava, Viraj; Taylor, Cody

2012-06-26T23:59:59.000Z

430

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

431

Fuzzy Comprehensive Evaluation Model and Influence Factors Analysis on Comprehensive Performance of Green Buildings  

E-Print Network (OSTI)

A green building involves complex system engineering including energy efficiency and energy utilization, water-saving and water utilization, material-saving and material utilization, and land-saving and indoor environment quality and operation management. In order to solve problems of subjectivity, uncertainty and impossibility of quantitative analysis when evaluating green building, this study establishes a multi-level fuzzy evaluation model by means of fuzzy mathematics method to analyze the comprehensive performance of green building according to the index system of “Evaluation Standard for Green Building”. Combined with the technique scheme of the first China green building demonstration project, the result proves to be in accordance with the pre-evaluation of experts. It shows that the fuzzy comprehensive evaluation method is reasonable and feasible to evaluate the comprehensive performance of green building. The evaluation result is the same as the pre-evaluation result. Factors with high weights have larger effects on the results. This proves that the guideline should be the first reference mode in the future engineering practice so as to realize optimization of green building performance.

Sun, J.; Wu, Y.; Dai, Z.; Hao, Y.

2006-01-01T23:59:59.000Z

432

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

433

Building Energy Software Tools Directory: Heat Pump Design Model  

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

Heat Pump Design Model Heat Pump Design Model Heat Pump Design Model logo. Research tool for use in the steady-state simulation and design analysis of air-to-air heat pumps and air conditioners. The program can be used with most of the newer HFC refrigerants as well as with HCFCs and CFCs. The standard vapor-compression cycle is modeled with empirical representations for compressor performance and first-principle region-by-region modeling of the heat exchangers. An online Web version is available that can be used with default configurations or with user-specified component and operating parameters for analyzing the performance of single-speed, air-to-air equipment. User configurations can be saved for later use. Parametric analyses can be made and performance trends plotted online.

434

Development of a Model Specification for Performance MonitoringSystems for Commercial Buildings  

SciTech Connect

The paper describes the development of a model specification for performance monitoring systems for commercial buildings. The specification focuses on four key aspects of performance monitoring: (1) performance metrics; (2) measurement system requirements; (3) data acquisition and archiving; and (4) data visualization and reporting. The aim is to assist building owners in specifying the extensions to their control systems that are required to provide building operators with the information needed to operate their buildings more efficiently and to provide automated diagnostic tools with the information required to detect and diagnose faults and problems that degrade energy performance. The paper reviews the potential benefits of performance monitoring, describes the specification guide and discusses briefly the ways in which it could be implemented. A prototype advanced visualization tool is also described, along with its application to performance monitoring. The paper concludes with a description of the ways in which the specification and the visualization tool are being disseminated and deployed.

Haves, Philip; Hitchcock, Robert J.; Gillespie, Kenneth L.; Brook, Martha; Shockman, Christine; Deringer, Joseph J.; Kinney,Kristopher L.

2006-08-01T23:59:59.000Z

435

An automated vision-based method for rapid 3D energy performance modeling of existing buildings using thermal and digital imagery  

Science Conference Proceedings (OSTI)

Modeling the energy performance of existing buildings enables quick identification and reporting of potential areas for building retrofit. However, current modeling practices of using energy simulation tools do not model the energy performance of buildings ... Keywords: 3D reconstruction, Building retrofit, Energy performance modeling, Structure-from-Motion, Thermography

Youngjib Ham, Mani Golparvar-Fard

2013-08-01T23:59:59.000Z

436

Model-based chiller energy tracking for performance assurance at a university building  

SciTech Connect

Buildings and their various subsystems often do not perform as well as intended at the design stage. Building energy performance suffers from insufficient documentation of design intent, inadequate building commissioning, and a lack of robust methods for short term and continuous performance tracking. This paper discusses how calibrated models can be used to track building systems and component performance from design, through commissioning, and into operations. Models of the chillers energy use and efficiency were developed and used to evaluate energy performance and control changes to minimize energy use. The example discussed is based on an actual university building. A detailed discussion of the extrapolation and associated uncertainty of using six months of data to develop annual energy use scenarios from various chiller models is included. An important lesson concerning the design is that there was significant oversizing of the chillers resulting in poor part load performance and over $3,000 year of annual energy cost increases. The oversizing is related to extremely high estimates of office equipment loads. The oversizing also causes frequent cycling of chillers, which shortens chiller life. Due to the lack of careful start-up procedures, it appears construction debris fouled one of the new chillers, resulting in about $5,200 year in energy increases. Additional comments on design and commissioning issues are included. The monitoring, modeling, and software development efforts were developed to demonstrate the value of collecting and organizing information regarding design, commissioning, and ongoing performance. This case study is part of a larger effort to examine methods and technologies to improve buildings performance and develop interoperable Building Life-Cycle Information Systems (BLISS).

Piette, M.A.; Carter, G.; Meyers, S.; Sezgen, O.; Selkowoitz, S.

1997-09-01T23:59:59.000Z

437

A Review of Ground Coupled Heat Pump Models Used in Whole-Building Computer Simulation Programs  

E-Print Network (OSTI)

Increasingly, building owners are turning to ground source heat pump (GSHP) systems to improve energy efficiency. Ground-coupled heat pump (GCHP) systems with a vertical closed ground loop heat exchanger are one of the more widely used systems. Over the last thirty years, a number of simulation models have been developed to calculate the performance of the ground heat exchanger (GHX). The several computer programs can evaluate the GCHP systems as a part of the whole-building energy simulation. This paper briefly presents a general introduction to GSHP systems and the GCHP system, and reviews the currently developed GCHP models and compares computer programs for a GCHP design. In addition, GHX models which play an important role on the GCHP performance are reviewed. Finally, several widely recognized computer simulation programs for building energy analysis are compared regarding their GCHP simulation capability.

Do, S. L.; Haberl, J. S.

2010-08-01T23:59:59.000Z

438

Building Energy Software Tools Directory: Energy Demand Modeling  

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

Energy Demand Modeling Energy Demand Modeling The software is intended to be used for Energy Demand Modeling. This can be utilized from regional to national level. A Graphical User Interface of the software takes the input from the user in a quite logical and sequential manner. These input leads to output in two distinct form, first, it develops a Reference Energy System, which depicts the flow of energy from the source to sink with all the losses incorporated and second, it gives a MATLAB script file for advance post processing like graphs, visualization and optimizations to develop and evaluate the right energy mix policy frame work for a intended region. Keywords Reference Energy System, Software, GUI, Planning, Energy Demand Model EDM, Energy Policy Planning Validation/Testing

439

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

440

Modelling Residential-Scale Combustion-Based Cogeneration in Building Simulation  

SciTech Connect

This article describes the development, calibration and validation of a combustion-cogeneration model for whole-building simulation. As part of IEA Annex 42, we proposed a parametric model for studying residentialscale cogeneration systems based on both Stirling and internal combustion engines. The model can predict the fuel use, thermal output and electrical generation of a cogeneration device in response to changing loads, coolant temperatures and flow rates, and control strategies. The model is now implemented in the publicly-available EnergyPlus, ESP-r and TRNSYS building simulation programs. We vetted all three implementations using a comprehensive comparative testing suite, and validated the model's theoretical basis through comparison to measured data. The results demonstrate acceptable-to-excellent agreement, and suggest the model can be used with confidence when studying the energy performance of cogeneration equipment in non-condensing operation.

Ferguson, A.; Kelly, N.; Weber, A.; Griffith, B.

2009-03-01T23:59:59.000Z

Note: This page contains sample records for the topic "building benchmark models" 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

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

442

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

443

An expandable software model for collaborative decision making during the whole building life cycle  

SciTech Connect

Decisions throughout the life cycle of a building, from design through construction and commissioning to operation and demolition, require the involvement of multiple interested parties (e.g., architects, engineers, owners, occupants and facility managers). The performance of alternative designs and courses of action must be assessed with respect to multiple performance criteria, such as comfort, aesthetics, energy, cost and environmental impact. Several stand-alone computer tools are currently available that address specific performance issues during various stages of a building's life cycle. Some of these tools support collaboration by providing means for synchronous and asynchronous communications, performance simulations, and monitoring of a variety of performance parameters involved in decisions about a building during building operation. However, these tools are not linked in any way, so significant work is required to maintain and distribute information to all parties. In this paper we describe a software model that provides the data management and process control required for collaborative decision making throughout a building's life cycle. The requirements for the model are delineated addressing data and process needs for decision making at different stages of a building's life cycle. The software model meets these requirements and allows addition of any number of processes and support databases over time. What makes the model infinitely expandable is that it is a very generic conceptualization (or abstraction) of processes as relations among data. The software model supports multiple concurrent users, and facilitates discussion and debate leading to decision making. The software allows users to define rules and functions for automating tasks and alerting all participants to issues that need attention. It supports management of simulated as well as real data and continuously generates information useful for improving performance prediction and understanding of the effects of proposed technologies and strategies.

Papamichael, K.; Pal, V.; Bourassa, N.; Loffeld, J.; Capeluto, G.

2000-04-01T23:59:59.000Z

444

Influence Of Three Dynamic Predictive Clothing Insulation Models On Building Energy Use, HVAC Sizing And Thermal Comfort  

E-Print Network (OSTI)

Weather, Clothing and Thermal Adaptation to Indoor Climate,of Determining Acceptable Thermal Conditions, Building andan Adaptive Model of Thermal Comfort and Preference, Final

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

445

Application of the Software as a Service Model to the Control of Complex Building Systems  

Science Conference Proceedings (OSTI)

In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analysed.

Stadler, Michael; Donadee, Jonathan; Marnay, Chris; Mendes, Goncalo; Appen, Jan von; Megel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

2011-03-17T23:59:59.000Z

446

Application of the Software as a Service Model to the Control of Complex Building Systems  

Science Conference Proceedings (OSTI)

In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analyzed.

Stadler, Michael; Donadee, Jon; Marnay, Chris; Lai, Judy; Mendes, Goncalo; Appen, Jan von; M& #233; gel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

2011-03-18T23:59:59.000Z

447

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

448

Use of whole building simulation in on-line performance assessment: Modeling and implementation issues  

SciTech Connect

The application of model-based performance assessment at the whole building level is explored. The information requirements for a simulation to predict the actual performance of a particular real building, as opposed to estimating the impact of design options, are addressed with particular attention to common sources of input error and important deficiencies in most simulation models. The role of calibrated simulations is discussed. The communication requirements for passive monitoring and active testing are identified and the possibilities for using control system communications protocols to link on-line simulation and energy management and control systems are discussed. The potential of simulation programs to act as ''plug-and-play'' components on building control networks is discussed.

Haves, Philip; Salsbury, Tim; Claridge, David; Liu, Mingsheng

2001-06-15T23:59:59.000Z

449

Use of whole building simulation in on-line performance assessment: Modeling and implementation issues  

SciTech Connect

The application of model-based performance assessment at the whole building level is explored. The information requirements for a simulation to predict the actual performance of a particular real building, as opposed to estimating the impact of design options, are addressed with particular attention to common sources of input error and important deficiencies in most simulation models. The role of calibrated simulations is discussed. The communication requirements for passive monitoring and active testing are identified and the possibilities for using control system communications protocols to link on-line simulation and energy management and control systems are discussed. The potential of simulation programs to act as ''plug-and-play'' components on building control networks is discussed.

Haves, Philip; Salsbury, Tim; Claridge, David; Liu, Mingsheng

2001-06-15T23:59:59.000Z

450

Building an Efficient Model for Afterburn Energy Release  

Science Conference Proceedings (OSTI)

Many explosives will release additional energy after detonation as the detonation products mix with the ambient environment. This additional energy release, referred to as afterburn, is due to combustion of undetonated fuel with ambient oxygen. While the detonation energy release occurs on a time scale of microseconds, the afterburn energy release occurs on a time scale of milliseconds with a potentially varying energy release rate depending upon the local temperature and pressure. This afterburn energy release is not accounted for in typical equations of state, such as the Jones-Wilkins-Lee (JWL) model, used for modeling the detonation of explosives. Here we construct a straightforward and efficient approach, based on experiments and theory, to account for this additional energy release in a way that is tractable for large finite element fluid-structure problems. Barometric calorimeter experiments have been executed in both nitrogen and air environments to investigate the characteristics of afterburn for C-4 and other materials. These tests, which provide pressure time histories, along with theoretical and analytical solutions provide an engineering basis for modeling afterburn with numerical hydrocodes. It is toward this end that we have constructed a modified JWL equation of state to account for afterburn effects on the response of structures to blast. The modified equation of state includes a two phase afterburn energy release to represent variations in the energy release rate and an afterburn energy cutoff to account for partial reaction of the undetonated fuel.

Alves, S; Kuhl, A; Najjar, F; Tringe, J; McMichael, L; Glascoe, L

2012-02-03T23:59:59.000Z

451

Some analytic models of passive solar building performance: a theoretical approach to the design of energy-conserving buildings  

DOE Green Energy (OSTI)

This paper describes an application of the fundamental methods of physics to solve a problem of environmental and economic interest: the description of the thermal performance of passive solar buildings. Such a description is of great practical interest to building designers; however, this paper is not intended to be of use to architects and engineers in its present form. Its intention is to provide a theoretical basis for understanding passive solar buildings; further effort is needed to develop rules of solar engineering.

Goldstein, D.B.

1978-11-01T23:59:59.000Z

452

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

453

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

454

Integrating window pyranometer for beam daylighting measurements in scale-model buildings  

SciTech Connect

An experimental device has been developed to measure the total amount of solar radiation transmitted through glazed apertures in scale-model buildings. The device, an integrating window pyranometer (IWP), has two distinguishing characteristics: (1) it provides a measure of transmitted solar radiation integrated over a representative portion of the model glazing, accounting for nonuniform radiation distributions; and (2) it is spectrally independent. In applications to scale-model daylighting experiments, the IWP, together with photometric sensors mounted in the model, allows the direct measurement of the fraction of transmitted solar gains reaching the work plane as useful illumination, a convenient measure of the daylighting system performance. The IWP has been developed as part of an outdoor experimental facility to perform beam daylighting measurements in scale-model buildings. In this paper, the integrating window pyranometer is described; the results of calibration tests are presented and evaluated; the advantages and limitations of the device are discussed.

Bauman, F.; Place, W.; Thornton, J.; Howard, T.C.

1985-12-01T23:59:59.000Z

455

Building Energy Software Tools Directory: ZEBO  

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

ZEBO ZEBO ZEBO is a decision support tool for the study and design of net zero energy buildings (NZEBs) in hot climates during early design phases. The aim of this tool is to facilitate and integrate the use of energy building performance simulation for architects. The tool embraces a graphical user interface for EnergyPlus. It allows for sensitivity analysis of possible variations of NZEB design parameters and elements during the early design phases in hot climates. Its added values reside in its ability to inform the decision before decisions are made about NZEB design. The tool is contextual and is based on an embedded benchmark model and database for Egyptian residential buildings, which includes local materials and construction and allows the generation of code-compliant design

456

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

457

From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings  

SciTech Connect

This report summarizes the workshop entitled: From the Building to the Grid: An Energy Revolution and Modeling Challenge. The first workshop was held May 1-2, 2012 on NREL's campus in Golden, Colorado. The second was held June 6-7, 2012 at the University College Dublin, in Dublin, Ireland.

Kroposki, B.; Komomua, C.; O'Malley, M.

2013-01-01T23:59:59.000Z

458

An iterative approach to build relevant ontology-aware data-driven models  

Science Conference Proceedings (OSTI)

In many fields involving complex environments or living organisms, data-driven models are useful to make simulations in order to extrapolate costly experiments and to design decision-support tools. Learning methods can be used to build interpretable ... Keywords: Classification tree, Expert knowledge, Knowledge integration, Machine learning, Ontology

Rallou Thomopoulos; SéBastien Destercke; Brigitte Charnomordic; Iyan Johnson; JoëL AbéCassis

2013-02-01T23:59:59.000Z

459

From the Building to the Grid: An Energy Revolution and Modeling Challenge; Workshop Proceedings  

SciTech Connect

This report summarizes the workshop entitled: From the Building to the Grid: An Energy Revolution and Modeling Challenge. The first workshop was held May 1-2, 2012 on NREL's campus in Golden, Colorado. The second was held June 6-7, 2012 at the University College Dublin, in Dublin, Ireland.

Kroposki, B.; Komomua, C.; O' Malley, M.

2013-01-01T23:59:59.000Z

460

Building Energy Software Tools Directory: Building Performance Compass  

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

Building Performance Compass Building Performance Compass Building Performance Compass logo Building Performance Compass analyzes commercial and multi-family building energy use patterns in a simple, easy-to-use Web-based interface. Using building details and energy data from the buildingÂ’s utility bills, it is unique in its ability to benchmark and compare all buildings, whether residential or commercial. Recent enhancements to Building Performance Compass include new multi-family support, the ability to track non-energy quantities such as water and waste, and features such as its fast-feedback report, which enables reporting energy savings as early as one month after work is completed. Building Performance Compass also provides extensive tracking of building data and usage, as well as the ability to upload and track