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Note: This page contains sample records for the topic "building models date" 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
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1

Page 1 of 22 Building Num: Date  

E-Print Network (OSTI)

Check List Page 1 of 22 Building Num: Date: Compressed Gases/WeldingChecklist Title: Action stored away from flammable materials? 1910.252(a)(2)(i) #12;Check List Page 2 of 22 Building Num: Date)(D) Is the insulation material intact on welding machine rod holders? 1910.254(d)(9)(i) #12;Check List Page 3 of 22

Homes, Christopher C.

2

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

3

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

4

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...

5

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 -...

6

Date | Open Energy Information  

Open Energy Info (EERE)

Properties of type "Date" Properties of type "Date" Showing 47 properties using this type. A Property:ASHRAE 169 End Date Property:ASHRAE 169 Start Date B Property:Building/EndPeriod Property:Building/StartPeriod Property:Building/YearConstruction Property:Building/YearConstruction1 Property:Building/YearConstruction2 Property:Buildings/ModelYear Property:Buildings/PublicationYear C Property:CommercialOnlineDate D Property:DSIRE/LstUpdt E Property:EndDate Property:EndYear Property:EnergyAccessYearInitiated Property:Event/Date Property:ExpActivityDate E cont. Property:ExpActivityDateEnd F Property:File/CreationDate Property:FirstWellDate G Property:GEAReportDate Property:Geothermal/FY Property:Geothermal/ProjectEndDate Property:Geothermal/ProjectStartDate H Property:HPBD/DateOfOccupancy I Property:Incentive/DsireLstSubModSummaryUpdt

7

Date: 25 October 2012 Page 1/5 4.401 Architectural Building Systems Course Syllabus  

E-Print Network (OSTI)

Date: 25 October 2012 Page 1/5 4.401 Architectural Building Systems ­ Course Syllabus Term: Fall building systems. The course examines the basic scientific principles underlying these phenomena and science of lighting buildings along with manual and computer-based methods for analyzing daylight within

Entekhabi, Dara

8

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

9

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...

10

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...

11

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...

12

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

13

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

14

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

15

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...

16

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

17

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

18

Date  

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

award of the (Date) ENERGY STAR: Plant name Plant street address Plant city, state, zip code As documented by the attached Statement of Energy Performance, I affirm that the...

19

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

20

Dates  

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

Dates Dates Nature Bulletin No. 511-A December 15, 1973 Forest Preserve District of Cook County George W. Dunne, President Roland F. Eisenbeis, Supt. of Conservation DATES When the wise men from the east, guided by a mysterious new star, traveled to Jerusalem and thence to Bethlehem where they worshipped the infant Jesus and presented Him with gifts, you can be sure that, in addition to gold and frankincense and myrrh, they carried dates as food to sustain them on their long journey. The Date Palm had been cultivated along the Tigris and Euphrates Rivers since the time of the Sumerians, 3000 years before the birth of Christ. This tree, like the coconut palm, is unknown today in its wild state but is believed to have originated in Ethiopia. In early times it was abundant in Palestine and the scientific name, Phoenix, given to the date palm by the Greeks, may be due to the fact that they first saw it in Phoenicia. The "tree of life, " variously referred to in the Bible, was probably this palm.

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

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) +

22

DATE:  

Office of Legacy Management (LM)

DATE: DATE: AUG 12 1991 REPLY TO ATTN OF: EM-421 (J. Wagoner, 3-8147) SUBIECT: Elimination of the Duriron Company Site TO: The File I have reviewed the attached site summary and elimination recommendation for the Duriron Company Site in Dayton, Ohio. I have determined that there is little likelihood of radioactive contamination at this site. Based on the above, the Ouriron Company Site is hereby eliminated from further consideration under the Formerly Utilized Sites Remedial Action Program. W. Ale~ander~illiams,~PhD Designation and Certification Manager Off-Site Branch Division of Eastern Area Programs Office of Environmental Restoration Attachment -: bee: Weston EM-40 (2) P. Hevner Review: - OTS NOTE DATE: July 15, 1991 TO: Alexander WiTliams FROM: Dan Stou tF

23

DATE:  

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

9 9 DATE: April 25, 2011 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Federal Awardee Performance and Integrity Information System (FAPIIS) - Public Access SUMMARY: On April 15, 2011, the public side of the Federal Awardee Performance and Integrity Information System (FAPIIS) website was launched. This means that information posted to FAPIIS on and after this date, with the exception of past performance reviews, will be accessible by the public. Public access to information posted to FAPIIS prior to April 15, 2011, will be subject to the Freedom of Information Act (FOIA) process. (See paragraph (b)(3) of

24

DATE:  

Office of Legacy Management (LM)

-RL5- DATE: September 13, 1990 TO: Alexander Williams (w 39 fusrap6 I FROM: Ed Mitchellzm SUBJECT: Elimination Recommendation for American Machine and Foundry in New York City The purpose of this note is to provide the following with respect to the former American Machine and Foundry Company (AMF) in New York City, New York--FUSRAP Considered Site Recommendation (g/13/90). 1 he recommendation is to eliminate the AMF New York City sites. If you agree, then please return an "approved" and dated copy of this note. Upon receipt of it, we will update the Considered-Sites Data Base for FUSRAP of DOE's intent to eliminate the site. Please call me at 353-1281 if you have +ny questions. cc: J. Wagoner D. Tonkay file FUSRAP NY.59 -------------------------------~---------------------------

25

DATE  

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

16 16 SECTION A. Project Title: GaRDS Vehicle X-Ray System Procurement, Installation and Operations SECTION B. Project Description: . This effort will be to procure, install, and operate a Gamma Radiation Detection System (GaRDS) capable of providing X-Ray images of incoming vehicles and delivery trucks. The scanner will be equipped with a 1 Ci Cobalt-60 gamma source and will be installed in building MFC-736. This security building is located on Taylor Blvd approximately one mile south of the Materials and Fuels Complex (MFC) and already houses a Vehicle Explosives Detection System equipped with two 50 microgram Cf-252 sources. The purpose of the proposed detection system is to enhance the security capability for MFC facilities, research programs, and personnel.

26

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

27

DATE:  

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

4 4 DATE: May 12, 2011 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Acquisition Letter AL 2011-05/Financial Acquisition Letter FAL 2011-01 Congressional Notification of Pending Award of a Contract Action, Announcement of Selected Applications for Negotiation of Financial Assistance Awards, or to Award a Financial Assistance Action in excess of $1 Million SUMMARY: AL 2011-05/FAL 2011-01 (AL/FAL) implements statutory and non-statutory Congressional notification of pending award of a contract action, announcement of selected applications for negotiation of financial assistance awards, or to award a financial assistance

28

Date  

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

3, 2009 3, 2009 Tim Meeks, Administrator Western Area Power Administration P.O. Box 281213 Lakewood, CO 80228-8213 Dear Administrator Meeks: East River Electric Power Cooperative, Inc. (East River) offers this letter as comment to the Western Area Power Administration's (Western) Federal Register Notice (FRN), (dated March 4, 2009, pp.9392-9393) concerning implementation of Western's new transmission loan or construction authority. East River is a wholesale electric power supply cooperative which provides twenty rural electric cooperatives and one municipal electric system transmission and power supply services. These twenty-one non-profit retail electric providers, which collectively own East River, serve about 90,000 residential, commercial

29

DATE  

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

4 4 SECTION A. Project Title: Materials and Fuels Complex (MFC) Infrastructure Upgrades - Technical Support Building SECTION B. Project Description: Materials and Fuels Complex (MFC) Infrastructure Upgrades - General The number of researchers and operators at the Materials and Fuels Complex has significantly increased, and is projected to increase further in the future to support the expanding research activities at the facility. These activities will require infrastructure upgrades (office space, potable water, wastewater treatment, communications, etc.) to accommodate the increasing number of personnel and work shifts. The INL will prepare a separate environmental checklist (EC) and conduct the appropriate level of environmental review for each

30

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,...

31

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...

32

DATE  

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

EC Document No.: DOE-ID-INL-09-002 EC Document No.: DOE-ID-INL-09-002 SECTION A. Project Title: Smoking Shelters SECTION B. Project Description. Install up to three prefabricated outdoor shelters for smokers. Design and install a shelter base so that shelters can be movable. The base shall be designed to prevent shelters from moving or tipping over due to high winds. Specific location for shelters is to be determined, but the shelter bases will be placed atop existing concrete or asphalt such that no subsurface soil disturbance is expected. SECTION C. Environmental Aspects / Potential Sources of Impact none SECTION D. Determine the Level of Environmental Review (or Documentation) and Reference(s): Identify the applicable categorical exclusion from 10 CFR 1021, Appendix B, give the appropriate justification, and the approval date..

33

DATE:  

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

3-45 3-45 DATE: April 16, 2013 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: DOE Acquisition Guide Chapter 15.1 Source Selection Guide SUMMARY: Attached is a revised Source Selection Guide. The Guide has been updated to reflect changes to DOE policies and practices and includes new topics such as Flow of the Source Selection Process, Source Selection Official Designation, Confidentiality and Conflict of Interest Certificates, Source Selection Training and Roles and Responsibilities. This Flash and its attachments will be available online within a day, at the following website: http://energy.gov/management/office-management/operational-

34

DATE  

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

EC Document No.: DOE-ID-INL-09-002 EC Document No.: DOE-ID-INL-09-002 SECTION A. Project Title: Smoking Shelters SECTION B. Project Description. Install up to three prefabricated outdoor shelters for smokers. Design and install a shelter base so that shelters can be movable. The base shall be designed to prevent shelters from moving or tipping over due to high winds. Specific location for shelters is to be determined, but the shelter bases will be placed atop existing concrete or asphalt such that no subsurface soil disturbance is expected. SECTION C. Environmental Aspects / Potential Sources of Impact none SECTION D. Determine the Level of Environmental Review (or Documentation) and Reference(s): Identify the applicable categorical exclusion from 10 CFR 1021, Appendix B, give the appropriate justification, and the approval date..

35

DATE:  

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

61 61 DATE: June 19, 2013 TO: Procurement Directors FROM: Director Policy Division Office of Procurement and Assistance Policy Office of Acquisition and Project Management SUBJECT: The Whistleblower Protection Enhancement Act of 2012 and How It Affects Federal Employee Non-Disclosure Policies, Forms, Certificates, Agreements and Acknowledgments SUMMARY: Acquisition Letter (AL) 2013-08 and Financial Assistance Letter (FAL) 2013-05 provide Contracting Officers with notice of the recently passed, Whistleblower Protection Enhancement Act of 2012 (WPEA), Pub.L. 112- 199, and the DOECAST issued in response on April 24, 2013. This AL/FAL informs DOE/NNSA Contracting Officers to update any Non-Disclosure Policies, Forms, Certificates, Agreements, and Acknowledgements

36

DATE:  

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

POLICY FLASH 2011-96 POLICY FLASH 2011-96 DATE: August 19, 2011 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: RFP Section H Clause Templates SUMMARY: On May 3, 2011, twenty two draft Section H clause templates were distributed for Procurement Director (PD), Head of Contracting Activity (HCA), General Counsel and National Nuclear Security Administration (NNSA) review and comment. All comments received were considered and changes were made as appropriate including the elimination of six clauses. The final version of the sixteen RFP Section H clause templates identified below will be available in STRIPES. 1) COMPLIANCE WITH INTERNET PROTOCOL VERSION 6 (IPV6) IN ACQUIRING

37

DATE:  

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

8 8 DATE: April 25, 2011 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Implementation of Division B, Title I, Section 1101(a)(2) of the Department of Defense and Full-Year Continuing Appropriations Act, 2011 SUMMARY: Acquisition Letter 2011-04 provides implementing instructions and guidance for Section 1101(a)(2) of the Full-Year Continuing Appropriations Act of 2011, Pub. L. 112-10 (hereinafter "Full-Year Continuing Appropriations Act of 2011). Section 1101(a)(2) of the Act provides that, unless otherwise specified, the authority and conditions provided for projects or activities (including the costs of direct loans and loan guarantees) appropriated, authorized, or

38

DATE:  

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

53 53 DATE: May 15, 2013 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Implementation of Division F, Title I, Title II, and Title III and Division G, Consolidated and Further Continuing Appropriations Act, 2013, Pub. L. No.113-6 SUMMARY: Acquisition Letter (AL) 2013-06 and Financial Assistance Letter (FAL) 2013-04 provides implementing instructions and guidance for Division F, Title I, Title II, and Title III and Division G, Consolidated and Further Continuing Appropriations Act, 2013, Pub. L. No.113-6. The AL addresses the following: Appropriations Act Section 301(a) Unfunded Requests for Proposals

39

DATE:  

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

POLICY FLASH 2013-12 POLICY FLASH 2013-12 DATE: December 7, 2012 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Section 301(b) Congressional Notification of Multi-year Contract Award Report Revision for Fiscal Year 2013 SUMMARY: With reference to Acquisition Letter (AL) 2012-08 and Financial Assistance Letter (FAL) 2012-02 regarding Section 301(b) Congressional Notification of Multi-year Contract Award, the spreadsheet is revised for Fiscal Year (FY) 2013 reporting. The revised spreadsheet will now have 5 funding columns that must be filled in for each 301(b) notification instead of 4 columns. The amounts in columns I through L should equal to the

40

DATE:  

Office of Legacy Management (LM)

a? a? ,itbd States Government memorandum Department of Energy DATE: APR 15 893 REPLY TO EM-421 (W. Williams, 903-8149) ATTN OF: Authorization for Remedial Action at the Former Associate Aircraft Site in SUBJECT: Fairfield, Ohio TO: W. Seay, DOE Oak Ridge Field Office The former Associate Aircraft Tool and Manufacturing, Inc., site at 3660 Dixie Highway, Fairfield, Ohio, is designated for remedial action under the Formerly Utilized Sites Remedial Action Program (FUSRAP). Force Control Industries is the current occupant of the site. This designation is based on the results of radiological surveys and conclusions from an authority review. Copies of the radiological survey reports and the authority review are provided for information. The site has been assigned a low priority under the FUSRAP protocol. The

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

DATE:  

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

2- 36 2- 36 DATE: April 23, 2012 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Implementation of Division B, Title III, Title V and Division C Title VII, Consolidated Appropriations Act, 2012, Pub. L. No.112- 74 and Related Conference Report SUMMARY: Acquisition Letter (AL) 2012-08 and Financial Assistance Letter (FAL) 2012-01 provides implementing instructions and guidance for Division B, Title III, Title V and Division C Title VII, Consolidated Appropriations Act, 2012, Pub. L. No.112-74 and Related Conference Report. The AL addresses the following: Appropriations Act * Section 301(a) Unfunded Requests for Proposals

42

DATE:  

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

22 22 DATE: February 1, 2012 TO: Procurement Directors FROM: Director, Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Acquisition Letter AL 2012-07/Financial Acquisition Letter FAL 2012-01 Congressional Notification of Pending Award of a Contract Action, Announcement of Selected Applications for Negotiation of Financial Assistance Awards, or to Award a Financial Assistance Action in Excess of $1 Million SUMMARY: AL 2012-07/FAL 2012-01 (AL/FAL) implements statutory Congressional notification of pending award of a contract action, announcement of selected applications for negotiation of financial assistance awards, or to award a financial assistance action in excess of $1 million. The total value of the award includes options, budget periods and cost share. The

43

DATE  

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

ICP-12-003 ICP-12-003 SECTION A. Project Title: CPP-684 - Remote Analytical Laboratory Facility Modifications SECTION B. Project Description The proposed activities are intended to render CPP-684 Remote Analytical Laboratory (RAL) as a limited access area by removing existing operational functions that are currently performed in the facility. In general, the activities will involve (1) removing the need for building heat and overall reduction of power consumption; (2) converting the existing fire protection system to an anti-freeze charged system; (3) relocating the Remote Distribution Module (RDM), which is part of installed equipment used for the emergency communication system from CPP-684 to CPP-663; and, if pursued, (4) perform specific tasks which would allow a downgrade CPP-684

44

DATE  

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

09-001 09-001 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis are addressed. All of the activities will be performed in support of CWI operations. The actions will occur within site boundaries of the INL and ICP facilities and within leased facilities in Idaho Falls, Idaho. Routine maintenance includes custodial services for buildings, structures, rights-of-way, infrastructures (e.g., pathways, roads, and

45

DATE  

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

5 5 CX Posting No.: DOE-ID-ICP-12-002 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis are addressed. All of the activities will be performed in support of CWI operations. The actions will occur within site boundaries of the INL and ICP facilities and within leased facilities in Idaho Falls, Idaho. Routine maintenance includes custodial services for buildings, structures, rights-of-way,

46

DATE  

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

6 6 SECTION A. Project Title: TRA-653 HVAC Modifications SECTION B. Project Description: The proposed project plans to replace the existing blowers, swamp coolers and electric heaters in the Idaho National Laboratory (INL) Test Reactor Area-653 (TRA-653) office area with three roof mounted heating, ventilating and air conditioning (HVAC) units; and install six roof mounted HVAC units at the TRA-653 machine shop area. These modifications are needed to enhance workplace habitability, maintain a more consistent building environment, and achieve a more energy efficient system. The TRA- 653 machine shop currently uses portable swamp coolers to cool their shop. TRA-653 is eligible for the National Historic Register, however, the activity as described is exempt from cultural resource review (INL Cultural Resource Management Plan;

47

DATE  

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

6 6 SECTION A. Project Title: TRA-653 HVAC Modifications SECTION B. Project Description: The proposed project plans to replace the existing blowers, swamp coolers and electric heaters in the Idaho National Laboratory (INL) Test Reactor Area-653 (TRA-653) office area with three roof mounted heating, ventilating and air conditioning (HVAC) units; and install six roof mounted HVAC units at the TRA-653 machine shop area. These modifications are needed to enhance workplace habitability, maintain a more consistent building environment, and achieve a more energy efficient system. The TRA- 653 machine shop currently uses portable swamp coolers to cool their shop. TRA-653 is eligible for the National Historic Register, however, the activity as described is exempt from cultural resource review (INL Cultural Resource Management Plan;

48

DATE  

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

5 5 CX Posting No.: DOE-ID-ICP-12-002 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis are addressed. All of the activities will be performed in support of CWI operations. The actions will occur within site boundaries of the INL and ICP facilities and within leased facilities in Idaho Falls, Idaho. Routine maintenance includes custodial services for buildings, structures, rights-of-way,

49

DATE:  

Office of Legacy Management (LM)

OOE F 1325.3 OOE F 1325.3 m e m o randum DATE: SEP 23 1988 Department of Energy IL_. 9 REPLY TO AlTN OF, NE-23 SUElJECT. Owner Searches for Potential Sites in Chicago IL, (7 TO: W . Cottrell, ORNL 0. Kozlouski, OTS W h ile in Chicago, Illinois, on September 13, 14, and 15, 1988, I drove to the suspected addresses of several potential FUSRAP sites. No owners were contacted during this activity because most of the work was done after normal working hours or while on the way to the airport when tim e would not permit the visit. I .?I ' - Former C-B Tool Products Co. 956 E. 58th Street Chicago, Illinois The University of Chicago Ingleside Hall is located at this address. It is the University O ffice of Employment and contains a U.S. Post O ffice. The structure is several stories and looks like it may have existed in the

50

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

51

DATE  

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

42 42 SECTION A. Project Title: Innovative Manufacturing Process for Improving the Erosion/Corrosion Resistance of Power Plant Components via Powder Metallurgy & Hot Isostatic Processing Methods - Electric Power Research Institute SECTION B. Project Description The objective of this project is to conduct the necessary design, processing, manufacturing, and validation studies to assess powder metallurgy/hot isostatic processing (PM/HIP) as a method to produce very large near-net shaped (NNS) components with erosion/corrosion resistant surfaces for use in nuclear and electrical power generation equipment. * Project tasks include the following: * Modeling of NNS Component Alloy & Mold/Can design * Test coupon development, demonstration, and screening for surface applications

52

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

53

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.

54

East Bank District Heating-to-Cooling Conversion Plan Check the date your building's cooling system is scheduled to be on.  

E-Print Network (OSTI)

East Bank District Heating-to-Cooling Conversion Plan Check the date your building's cooling system Coal Storage Building 39 NA Cooke Hall 56 Donhowe Building 044 East Gateway District Steam Distr. 199

Webb, Peter

55

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.

56

Date Date Date Date Date  

E-Print Network (OSTI)

This thesis investigates the problem of regulating the temperature of a conditioned space using a Solar Assisted Air Conditioning Systems (SAACS) prototype located at Cabo Rojo, Puerto Rico. The SAACS Prototype consists of a 66 flat plate solar collector array with 115.4 m 2 of selective surface area, a 35 kW single-effect lithium-bromide absorption chiller, a 84 kW cooling tower, a 50 kW auxiliary hot water boiler, a 5700 liter storage tank equipped with flexible stratification manifolds, and a 1800 l/hr air-handling unit. A discrete-time state-space model of the absorption chiller and a linear model of the plant to be controlled (the conditioned space) are identified and presented. Experimental data was used for the determination of these models. A temperature controller was designed and applied to the plant model. This controller operates the absorption chiller under multiple load conditions and regulates the flow in the chilled water line based on the conditioned space requirements. The designed controller was implemented in the SAACS prototype. The system’s

Carlos A. González Lozano; Miguel Vélez Reyes, Ph.D.; Gerson Beauchamp Báez, Ph.D., Ph.D.

2004-01-01T23:59:59.000Z

57

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

58

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 +

59

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

60

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

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

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

62

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,...

63

EIA - Distributed Generation in Buildings  

U.S. Energy Information Administration (EIA)

Modeling Distributed Generation in the Buildings Sectors . Supplement to the Annual Energy Outlook 2013 — Release date: August 29, 2013

64

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

65

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

66

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

67

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

68

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

69

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

70

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...

71

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...

72

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...

73

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

74

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

75

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

76

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

77

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

78

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

79

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

80

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...

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

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

82

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

83

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

84

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

85

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

86

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

87

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

88

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

89

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

90

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

91

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

92

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

93

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

94

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 +, ...

95

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

96

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

97

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

98

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

99

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

100

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

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

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

102

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

103

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...

104

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

105

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

106

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

107

building | OpenEI  

Open Energy Info (EERE)

building building Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (7 months ago) Date Updated July 02nd, 2013 (5 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

108

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

109

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

110

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.

111

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...

112

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...

113

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...

114

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

115

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

116

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

117

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

118

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

119

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 +

120

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 +

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

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

122

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

123

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.

124

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

125

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

126

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

127

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

128

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

129

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:...

130

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

131

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

132

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

133

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

134

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

135

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

136

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

137

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

138

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

139

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

140

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

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

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

142

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

143

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

144

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.

145

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...

146

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

147

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

148

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

149

Attachments for fire modeling for Building 221-T, T Plant canyon deck and railroad tunnel  

SciTech Connect

The purpose of this attachment is to provide historical information and documentation for Document No. WHC-SD-CP-ANAL-008 Rev 0, ``Fire Modeling for Building 221-T--T Plant Canyon Deck and Railroad Tunnel``, dated September 29, 1994. This data compilation contains the following: Resumes of the Technical Director, Senior Engineer and Junior Engineer; Review and Comment Record; Software Files; CFAST Input and Output Files; Calculation Control Sheets; and Estimating Sprinkler Actuation Time in the Canyon and Railroad Tunnel. The T Plant was originally a fuel reprocessing facility. It was modified later to decontaminate and repair PuRex process equipment.

Oar, D.L. [Westinghouse Hanford Co., Richland, WA (United States)

1995-01-23T23:59:59.000Z

150

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

151

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...

152

building demand | OpenEI  

Open Energy Info (EERE)

demand demand Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

153

building load | OpenEI  

Open Energy Info (EERE)

load load Dataset Summary Description This dataset contains hourly load profile data for 16 commercial building types (based off the DOE commercial reference building models) and residential buildings (based off the Building America House Simulation Protocols). This dataset also includes the Residential Energy Consumption Survey (RECS) for statistical references of building types by location. Source Commercial and Residential Reference Building Models Date Released April 18th, 2013 (9 months ago) Date Updated July 02nd, 2013 (7 months ago) Keywords building building demand building load Commercial data demand Energy Consumption energy data hourly kWh load profiles Residential Data Quality Metrics Level of Review Some Review Comment Temporal and Spatial Coverage Frequency Annually

154

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

155

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

156

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

157

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:...

158

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

159

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

160

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.

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

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

162

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

163

Product and Process Modeling for Functional Performance Testing in Low-Energy Building Embedded Commissioning Cases  

E-Print Network (OSTI)

Our work deals with creating information assistance for commissioning (Cx) low-energy buildings throughout their life-cycle. We call this Embedded Commissioning in reference to the integration of persistent and reliable Cx information. We have developed digital models of the Cx process and products. Currently, we are testing system inspection and functional performance test (FPT) protocols developed by others to verify their applicability to individual facilities and compatibility with our product models, as well as standards, such as IFC and aecXML. To date we have tested a fin-tube radiant heat system FPT. Our findings include lessons learned in several areas: (1) adapting standard FPTs to specific facilities and their design intent, (2) common performance retarding system defects, and (3) implications for data representation in product/process models for FPT implementation.

Akcamete, A.; Garrett, J.; Akinci, B.; Akin, O.; Lee, K. J.

2007-01-01T23:59:59.000Z

164

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

165

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

166

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

167

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

168

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 . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . ....

169

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

170

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 +

171

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...

172

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...

173

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 +

174

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 +

175

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 +

176

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

177

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

178

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

179

Property:HPBD/DateOfOccupancy | Open Energy Information  

Open Energy Info (EERE)

DateOfOccupancy DateOfOccupancy Jump to: navigation, search This is a property of type Date. Subproperties This property has the following 10 subproperties: H High Performance Buildings Database High Performance Buildings Database High Performance Buildings Database H cont. High Performance Buildings Database High Performance Buildings Database High Performance Buildings Database High Performance Buildings Database H cont. High Performance Buildings Database High Performance Buildings Database High Performance Buildings Database Pages using the property "HPBD/DateOfOccupancy" Showing 25 pages using this property. (previous 25) (next 25) H High Performance Buildings Database + January 4 + High Performance Buildings Database + January 6 + High Performance Buildings Database + October 2 +

180

Issue Date: Expiration Date:  

E-Print Network (OSTI)

Discussion: Enclosed for your review and comment are the draft revisions to the FSME Procedure SA-103, Reviewing the Common Indicator, Technical Staffing and Training. SA-103 procedure describes the process and guidelines to be used by IMPEP team members when reviewing the adequacy of an NRC Region or State’s program for the staffing and training of technical personnel. We would appreciate receiving your comments within 30 days from the date of this letter. If you have any questions regarding this communication, please contact me at 301-415-3340 or the individual named below.

Training; Robert J. Lewis; Robert J. Lewis; A. Duncan White

2009-01-01T23:59:59.000Z

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

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

182

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

183

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

184

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

SciTech Connect

Recent accomplishments in buildings energy research by the diverse groups in the Energy Efficient Buildings Program at Lawrence Berkeley Laboratory (LBL) are summarized. We review technological progress in the areas of ventilation and indoor air quality, buildings energy performance, computer modeling, windows, and artificial lighting. The need for actual consumption data to track accurately the improving energy efficiency of buildings is being addressed by the Buildings Energy Data (BED) Group at LBL. We summarize results to date from our Building Energy Use Compilation and Analysis (BECA) studies, which include time trends in the energy consumption of new commercial and new residential buildings, the measured savings being attained by both commercial and residential retrofits, and the cost-effectiveness of buildings energy conservation measures. We also examine recent comparisons of predicted vs. actual energy usage/savings, and present the case for building energy use labels.

Wall, L.W.; Rosenfeld, A.H.

1982-12-01T23:59:59.000Z

185

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

186

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

187

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

188

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

189

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

190

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.

191

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

192

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

193

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

194

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

195

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

196

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

197

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

198

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

199

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

200

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

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

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

202

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

203

Effects of oil charge on illite dates and stopping quartz cement: calibration of basin models  

E-Print Network (OSTI)

Abstract Effects of oil charge on illite dates and stopping quartz cement: calibration of basin Oil can fill pores in reservoir sandstones at any burial depth by long or short distance migration. There has been a debate since 1920 concerning the effect of oil charge. We have made detailed local

Haszeldine, Stuart

204

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

205

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

206

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

207

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

208

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.

209

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

210

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

211

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

212

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

213

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

214

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

215

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

216

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

217

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

218

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

219

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

220

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

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

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

222

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

223

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

224

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

225

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

226

Montana | Building Energy Codes Program  

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

for Commercial Buildings in the State of Montana (BECP Report, Sept. 2009) Approximate Energy Efficiency Equivalent to 2009 IECC Effective Date 03262010 Adoption Date 11302009...

227

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

228

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

229

EIA - Distributed Generation in Buildings  

Gasoline and Diesel Fuel Update (EIA)

Previous reports Previous reports Distributed Generation in Buildings - AEO2005 Modeling Distributed Electricity Generation in the NEMS Buildings Models - July 2002 Modeling Distributed Generation in the Buildings Sectors Supplement to the Annual Energy Outlook 2013 - Release date: August 29, 2013 Distributed and dispersed generation technologies generate electricity near the particular load they are intended to serve, such as a residential home or commercial building. EIA defines distributed generation (DG) as being connected to the electrical grid and intended to directly offset retail sales, and dispersed generation as being off-grid and often used for remote applications where grid-connected electricity is cost-prohibitive. Dispersed generation in the buildings sector is not currently gathered by

230

MEMORANDUM DATE  

Office of Legacy Management (LM)

DATE DATE :;++, -m--s B-w- -w---m-- SUBJECT: , ::;:: JLLiucd ALTERN&TE e---e---- --------------------------- CITY&da NCIME: ---------------------- - --------------------- J&f STATE: OWNER ( S 1 -----m-e Past 0 Current: ------------------------ Owner contacted 0 -------------------------- 0 yes no; if ye=, date contacted ------w---s-- TYPE OF OPERATION ----w------------ F Research & Development 0 Facility Type 0 Production scale testing F Pilot Scale 0 Manufacturing 0 Bench Scale Process 0 University Research 0 Theoretical 0 Organization Studies 0 Sample & Analysis 0 Government Sponsored Facility 0 Other --------------------- 0 Production 0 Disposal/Storage TYPE OF CONTRfiCT a--------------- 0 Prim- 0 Subcontract& s Purchase Order

231

MEMORANDUfl DATE  

Office of Legacy Management (LM)

DATE DATE cl e-w --we-- SUBJECT: __------------------------ _ OWNER (S) -----w-e Pamt a __---------------------- current: -------------------_______ Owner contacted 0 yes 0 no; if yes, date contacted --------w-w-- TYPE OF OPERATION ------------- erearch & Development a Facility Typr Praduction scale trstinq Pilot Scale Bench Seal e Process Theoretical Studies Sample & Analysis n Production 0 Disposal/Storage TYPE OF CONTRACT ---------------- 0 Prim* 7z Subcontract& Purchase Order . Mmuf l cturing University Research Organization Government Sponsored Facility Rther ----B.-------------- 0 Othrr information (i.e., cost + fixrd fee, unit prier, time 81 material, rte) -m-M--- -------------------------- ---------------------------- Contract/Purchase Order M

232

Semantic Building Blocks for 21st Century Building Engineering  

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

Semantic Building Blocks for 21st Century Building Engineering Semantic Building Blocks for 21st Century Building Engineering Speaker(s): Mark Palmer Date: October 2, 2009 - 12:00pm Location: 90-3122 The Building and Fire Research Laboratory (BFRL) of the National Institute of Standards and Technology (NIST) works to advance innovation and competitiveness of the U.S. building and fire safety industries. This presentation will introduce some of the work at BFRL to improve the design, construction and operation of the built environment and to advance the semantic infrastructure for integrated project design and delivery. With this context established, the presentation will examine research challenges and next steps for developing reference information models, industry data dictionaries and rule libraries for multidisciplinary collaboration to

233

An Integrated Framework for Parametric Design Using Building...  

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

An Integrated Framework for Parametric Design Using Building Energy Models Speaker(s): Bryan Eisenhower Date: September 22, 2011 - 12:00pm Location: 90-3122 Seminar HostPoint of...

234

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

235

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

236

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.

237

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

238

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

239

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

240

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

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

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

242

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

243

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

244

Massachusetts' Green Buildings Program  

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

Berkeley Pagination 8 Date Published 092002 Abstract Green buildings can provide a niche market for renewable energy technologies. Specifically, renewable energy technologies may...

245

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

246

ARLOSS: a FORTRAN program for modeling the effects of initial 40Ar losses on 40Ar/39Ar dating  

Science Conference Proceedings (OSTI)

Keywords: 40Ar loss, 40Ar/39Ar dating, argon, argon concentration, domain, grain-size distribution, isotope, mineral

Yuping Xu

1993-04-01T23:59:59.000Z

247

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

248

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

249

DATE: TO:  

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

41 41 4 DATE: TO: September 2,2008 Procurement Directors Office of Procurement and Assistance Policy, MA-61 Office of Procurement and Assistance Management SUBJECT: Federal Procurement Data System Coding (FPDS) for Hurricane Gustav SUMMARY: An emergency declaration was made in preparation for Hurricane Gustav. The effective date for this declaration was August 29,2008. FPDS has been updated to include Hurricane Gustav as a choice in the data field "National Interest Action." When making an award to support the emergency, please ensure FPDS is properly coded. This Flash will be available online within a day, at the following website: http://www.rnananement.ener~y.~ov/policy guidance/policy flasheshtm. Questions concerning this policy flash should be

250

DATE: TO:  

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

28 28 - DATE: TO: v POLICY FLASH 2008-28 February 19,2008 Procurement Directors Office of Procurement and Assistance Policy, MA41 Office of Procurement and Assistance Management SUBJECT: Acquisition Letter (AL) 2008-06, Domestic and Foreign Procurement Preference Requirements SUMMARY: AL 2008-06 (attached) replaces AL 2002-06, dated 08/14/02, "Domestic and Foreign Procurement Preference Rules," which is hereby canceled. AL 2002-06 disseminated deviations to FAR provisions and clauses relating to foreign acquisition for use by Department of Energy (DOE), National Nuclear Security Administration (NNSA), and Power Marketing Administration (PMA) contracting activities. This new AL provides updated deviations to the FAR provisions and clauses for use by DOE,

251

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

252

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

253

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

254

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

255

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

256

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

257

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

258

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

259

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

260

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

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

Systematic time-based study for quantifying the uncertainty of uncalibrated models in building energy simulations  

E-Print Network (OSTI)

This thesis documents the usefulness and accuracy of uncalibrated simulations to determine for what end-uses these simulations should be used. The study was divided into three segments 1)comparison of the accuracy of two simulation models, massless and advanced, against measured data 2) comparison of the results from two simulations models, simplistic and massless, to determine the sensitivity of envelope shape and details for two weather conditions 3) identification of the parameters that have a significant impact on the simulation output. Five buildings were selected as the test sample. Four of the buildings were multi story commercial buildings. The fifth was a single-family residential house. For the first segment of the study two simulation models were created for all the buildings; the massless model with emphasis on the envelope using massless construction and typical values for system parameters and the advanced model with the inclusion of thermal mass and extensive as-built details of the systems. For the second part of the research the simplistic model was created having a single floor one-zone with glazing and conditioned areas equivalent to the massless model. The sensitivity analysis was done using the massless model and selected variables from the loads and systems as sensitivity parameters. By following the procedure mentioned, it was found that uncalibrated simulation models do not depict the real operating conditions of a building. For some cases the simulated values are higher than the measured data while for others they are significantly lower. The CV (RMSE) between the measured and simulated values ranges from 30 to 150%. From the comparison of the simplistic and massless model, it was concluded that the outer envelope shape and details have an impact on the heating and cooling energy use irrespective of the weather conditions. For internally load dominated buildings this impact is more on the heating loads than on the cooling loads. The conclusions from the sensitivity analysis were that outside air fraction and the total supply air have the most significant impact on the simulation output while thermal mass has a small impact.

Ahmad, Mushtaq

2003-08-01T23:59:59.000Z

262

Whole-Building Energy Simulation with a Three-Dimensional Ground-Coupled Heat Transfer Model: Preprint  

DOE Green Energy (OSTI)

A three-dimensional, finite-element, heat-transfer computer program was developed to study ground-coupled heat transfer from buildings. It was used in conjunction with the SUNREL whole-building energy simulation program to analyze ground-coupled heat transfer from buildings, and the results were compared with the simple ground-coupled heat transfer models used in whole-building energy simulation programs. The detailed model provides another method of testing and refining the simple models and analyzing complex problems. This work is part of an effort to improve the analysis of the ground-coupled heat transfer in building energy simulation programs. The output from this detailed model and several others will form a set of reference results for use with the BESTEST diagnostic procedure. We anticipate that the results from the work will be incorporated into ANSI/ASHRAE 140-2001, Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs.

Deru, M.; Judkoff, R.; Neymark, J.

2002-08-01T23:59:59.000Z

263

FIERAsystem: A Fire Risk Assessment Model for Light Industrial Building Fire Safety Evaluation  

E-Print Network (OSTI)

this report. The current report describes the framework for the new model, individual submodels used for calculations, and the information that the model provides to the design engineer or building official. The framework that FIERAsystem uses to conduct a hazard analysis and the process used to perform a risk analysis are also discussed in the report. 2. FRAMEWORK OF FIERAsystemMODEL The FIERAsystem model allows the user to perform a number of fire protection engineering calculations in order to evaluate fire protection systems in industrial buildings. At start-up, FIERAsystem provides several calculation options, which allow the user to: use standard engineering correlations, run individual submodels, conduct a hazard analysis, or conduct a risk analysis

N. Kashef; A. Torvi; G. Reid; Noureddine Benichou; Ahmed Kashef; David Torvi; George Hadjisophocleous; Irene Reid

2002-01-01T23:59:59.000Z

264

Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program  

DOE Green Energy (OSTI)

EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

Don Shirey

2008-02-28T23:59:59.000Z

265

Expand the Modeling Capabilities of DOE's EnergyPlus Building Energy Simulation Program  

SciTech Connect

EnergyPlus{trademark} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOE's Building Technologies (BT) Program in terms of whole-building, component, and systems R&D (http://www.energyplus.gov). It is also being used to support evaluation and decision making of zero energy building (ZEB) energy efficiency and supply technologies during new building design and existing building retrofits. Version 1.0 of EnergyPlus was released in April 2001, followed by semiannual updated versions over the ensuing seven-year period. This report summarizes work performed by the University of Central Florida's Florida Solar Energy Center (UCF/FSEC) to expand the modeling capabilities of EnergyPlus. The project tasks involved implementing, testing, and documenting the following new features or enhancement of existing features: (1) A model for packaged terminal heat pumps; (2) A model for gas engine-driven heat pumps with waste heat recovery; (3) Proper modeling of window screens; (4) Integrating and streamlining EnergyPlus air flow modeling capabilities; (5) Comfort-based controls for cooling and heating systems; and (6) An improved model for microturbine power generation with heat recovery. UCF/FSEC located existing mathematical models or generated new model for these features and incorporated them into EnergyPlus. The existing or new models were (re)written using Fortran 90/95 programming language and were integrated within EnergyPlus in accordance with the EnergyPlus Programming Standard and Module Developer's Guide. Each model/feature was thoroughly tested and identified errors were repaired. Upon completion of each model implementation, the existing EnergyPlus documentation (e.g., Input Output Reference and Engineering Document) was updated with information describing the new or enhanced feature. Reference data sets were generated for several of the features to aid program users in selecting proper model inputs. An example input data file, suitable for distribution to EnergyPlus users, was created for each new or improved feature to illustrate the input requirements for the model.

Don Shirey

2008-02-28T23:59:59.000Z

266

Energy Savings Modeling and Inspection Guidelines for Commercial Building Federal Tax Deductions  

DOE Green Energy (OSTI)

This document provides guidance for modeling and inspecting energy-efficient property in commercial buildings for certification of the energy and power cost savings related to Section 179D of the Internal Revenue Code enacted in Section 1331 of the 2005 Energy Policy Act and noted in Internal Revenue Service Notice 2006-52. Specifically, Section 179D provides federal tax deductions for energy-efficient property related to a commercial building's envelope; interior lighting; heating, ventilating, and air conditioning; and service hot water systems.

Deru, M.

2007-02-01T23:59:59.000Z

267

Energy Savings Modeling and Inspection Guidelines for Commercial Building Federal Tax Deductions  

SciTech Connect

This document provides guidance for modeling and inspecting energy-efficient property in commercial buildings for certification of the energy and power cost savings related to Section 179D of the Internal Revenue Code enacted in Section 1331 of the 2005 Energy Policy Act and noted in Internal Revenue Service Notice 2006-52. Specifically, Section 179D provides federal tax deductions for energy-efficient property related to a commercial building's envelope; interior lighting; heating, ventilating, and air conditioning; and service hot water systems.

Deru, M.

2007-02-01T23:59:59.000Z

268

Automatic Calibration of a Building Energy Simulation Model Using a Global Optimization Program  

E-Print Network (OSTI)

A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from the building so the simulation output closely follows the measured time series energy consumption data and shows the same temperature dependence. This paper has used optimization software to show that a simple simulation program which is a coding of the ASHRAE 'Simplified Energy Analysis Procedure' can be automatically calibrated to “measured” data. The “measured data” used in this case study was simulation data to which a small amount of white noise had been added.

Lee, S. U.; Claridge, D.

2002-01-01T23:59:59.000Z

269

Energy Savings Modeling and Inspection Guidelines for Commercial Building Federal Tax Deductions, Second Edition  

SciTech Connect

This document provides guidance for modeling and inspecting energy-efficient property in commercial buildings for certification of the energy and power cost savings related to Section 179D of the Internal Revenue Code enacted in Section 1331 of the 2005 Energy Policy Act and noted in Internal Revenue Service Notice 2006-52. Specifically, Section 179D provides federal tax deductions for energy-efficient property related to a commercial building's envelope; interior lighting; heating, ventilating, and air conditioning; and service hot water systems.

Deru, M.

2007-05-01T23:59:59.000Z

270

Energy Savings Modeling and Inspection Guidelines for Commercial Building Federal Tax Deductions, Second Edition  

SciTech Connect

This document provides guidance for modeling and inspecting energy-efficient property in commercial buildings for certification of the energy and power cost savings related to Section 179D of the Internal Revenue Code enacted in Section 1331 of the 2005 Energy Policy Act and noted in Internal Revenue Service Notice 2006-52. Specifically, Section 179D provides federal tax deductions for energy-efficient property related to a commercial building's envelope; interior lighting; heating, ventilating, and air conditioning; and service hot water systems.

Deru, M.

2007-05-01T23:59:59.000Z

271

Residential Buildings  

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

Residential Residential Residential Buildings Residential buildings-such as single family homes, townhomes, condominiums, and apartment buildings-are all covered by the Residential Energy Consumption Survey (RECS). See the RECS home page for further information. However, buildings that offer multiple accomodations such as hotels, motels, inns, dormitories, fraternities, sororities, convents, monasteries, and nursing homes, residential care facilities are considered commercial buildings and are categorized in the CBECS as lodging. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/residential.html

272

ME EET Seminar: MODELING, SIMULATION AND ANALYSIS OF INTEGRATED...  

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

Contacts Media Contacts ME EET Seminar: MODELING, SIMULATION AND ANALYSIS OF INTEGRATED BUILDING ENERGY AND CONTROL SYSTEMS Speaker(s): Michael Wetter Date: October 21, 2009 -...

273

Analysis of the differences in energy simulation results between building information modeling (BIM)-based simulation method and the detailed simulation method  

Science Conference Proceedings (OSTI)

Building Information Modeling (BIM)-based simulation models have been used to automate lengthy building energy modeling processes and it enable fast acquisition of results. Recent improvements of simulation programs have continued to the increase in ...

Seongchan Kim; Jeong-Han Woo

2011-12-01T23:59:59.000Z

274

Date Event  

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

Timeline of DOE's review of the Solyndra Loan Guarantee Application Timeline of DOE's review of the Solyndra Loan Guarantee Application Date Event 2005 Title XVII Loan Guarantee Program created (as part of EPAct 2005) Aug. 8, 2006 DOE issues solicitation seeking pre-applications for Title XVII loan guarantees Dec. 28, 2006 Solyndra submits pre-application, seeking funding for its Fab 1 manufacturing facility April - June 2007 DOE conducts financial and technical review of Solyndra pre-application Oct. 4, 2007 DOE invites Solyndra, and 15 other applicants, to submit full applications May 6, 2008 Company submits full application, seeking funding for its Fab 2 manufacturing facility. DOE begins due diligence. Sept. 4, 2008 DOE loan programs staff draft memorandum indicating that Solyndra was the "earliest mover" and may receive conditional commitment by January 16, 2009

275

A Modelica-based Model Library for Building Energy and Control Systems  

SciTech Connect

This paper describes an open-source library with component models for building energy and control systems that is based on Modelica, an equation-based objectoriented language that is well positioned to become the standard for modeling of dynamic systems in various industrial sectors. The library is currently developed to support computational science and engineering for innovative building energy and control systems. Early applications will include controls design and analysis, rapid prototyping to support innovation of new building systems and the use of models during operation for controls, fault detection and diagnostics. This paper discusses the motivation for selecting an equation-based object-oriented language. It presents the architecture of the library and explains how base models can be used to rapidly implement new models. To demonstrate the capability of analyzing novel energy and control systems, the paper closes with an example where we compare the dynamic performance of a conventional hydronic heating system with thermostatic radiator valves to an innovative heating system. In the new system, instead of a centralized circulation pump, each of the 18 radiators has a pump whose speed is controlled using a room temperature feedback loop, and the temperature of the boiler is controlled based on the speed of the radiator pump. All flows are computed by solving for the pressure distribution in the piping network, and the controls include continuous and discrete time controls.

Wetter, Michael

2009-04-07T23:59:59.000Z

276

Influence of Air-Conditioning Waste Heat on Air Temperature in Tokyo during Summer: Numerical Experiments Using an Urban Canopy Model Coupled with a Building Energy Model  

Science Conference Proceedings (OSTI)

A coupled model consisting of a multilayer urban canopy model and a building energy analysis model has been developed to investigate the diurnal variations of outdoor air temperature in the office areas of Tokyo, Japan. Observations and numerical ...

Yukitaka Ohashi; Yutaka Genchi; Hiroaki Kondo; Yukihiro Kikegawa; Hiroshi Yoshikado; Yujiro Hirano

2007-01-01T23:59:59.000Z

277

CSP 586: Software Modeling and Development with UML Jim Conallen. Building Web Applications with UML, Addison-Wesley  

E-Print Network (OSTI)

CSP 586: Software Modeling and Development with UML Texts Jim Conallen. Building Web Applications · UML for Web Design 3 hours Total 45 hours CSP 586: Software Modeling and Development with UML 1 of 1

Heller, Barbara

278

AUTOMATIC GENERATION OF DIGITAL BUILDING MODELS FOR COMPLEX STRUCTURES FROM LIDAR DATA  

E-Print Network (OSTI)

Automated and reliable 3D reconstruction of man-made structures is important for various applications in virtual reality, city modeling, military training, etc. This paper is concerned with the automated generation of Digital Building Models (DBM) associated with complex structures comprised of small parts with different slopes, sizes, and shapes, from a LiDAR point cloud. The proposed methodology consists of a sequence of four steps: ground/non-ground point separation; building hypothesis generation; segmentation of planar patches and intermediate boundary generation; and boundary refinement and 3D wire frame generation. First, a novel ground/non-ground point classification technique is proposed based on the visibility analysis among ground and non-ground points in a synthesized perspective view. Once the LiDAR point cloud has been classified into ground and non-ground points, the non-ground points are analyzed and used to generate hypotheses of building instances based on the point attributes and the spatial relationships among the points. The third step of the proposed methodology segments each building hypothesis into a group of planar patches while simultaneously considering the attribute similarity and the spatial proximity among the points. The intermediate boundaries for segmented clusters are produced by using a modified convex hull algorithm. These boundaries are used as initial approximations of the planar surfaces comprising the building model of a given hypothesis. The last step of the proposed methodology utilizes these initial boundaries to come up with a refined set of boundaries, which are connected to produce a wire frame representing the DBM. The performance of the proposed methodology has been evaluated using experimental results from real data.

Changjae Kim; Ayman Habib; Yu-chuan Chang

2008-01-01T23:59:59.000Z

279

SOME ANALYTIC MODELS OF PASSIVE SOLAR BUILDING PERFORMANCE: A THEORETICAL APPROACH TO THE DESIGN OF ENERGY-CONSERVING BUILDINGS  

E-Print Network (OSTI)

to response to weather-varying solar amplitude is delayed 1-expansion for the weather-varying solar gain function; wea simple passive solar building to idealized weather. Such a

Goldstein, David Baird

2011-01-01T23:59:59.000Z

280

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

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

Evaluation of the Effective Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings J. Woods, J. Winkler, and D. Christensen National Renewable Energy Laboratory Technical Report NREL/TP-5500-57441 January 2013 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 15013 Denver West Parkway Golden, Colorado 80401 303-275-3000 * www.nrel.gov Contract No. DE-AC36-08GO28308 Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings J. Woods, J. Winkler, and D. Christensen National Renewable Energy Laboratory Prepared under Task No. BE12.0201

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

Building Technologies Program: Tax Deduction Qualified Software...  

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

that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.govcommercial). Date Documentation Received by DOE: 17 August 2006 Statements in...

282

Building Technologies Program: Tax Deduction Qualified Software...  

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

that meet federal tax incentive requirements for commercial buildings (www.buildings.energy.govcommercial). Date Documentation Received by DOE: 10 August 2007 Statements in...

283

Building Technologies Office: Commercial Building Research  

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

to someone by E-mail to someone by E-mail Share Building Technologies Office: Commercial Building Research on Facebook Tweet about Building Technologies Office: Commercial Building Research on Twitter Bookmark Building Technologies Office: Commercial Building Research on Google Bookmark Building Technologies Office: Commercial Building Research on Delicious Rank Building Technologies Office: Commercial Building Research on Digg Find More places to share Building Technologies Office: Commercial Building Research on AddThis.com... About Take Action to Save Energy Activities 179d Tax Calculator Advanced Energy Design Guides Advanced Energy Retrofit Guides Building Energy Data Exchange Specification Buildings Performance Database Data Centers Energy Asset Score Energy Modeling Software Global Superior Energy Performance Partnership

284

Daily radiation model for use in the simulation of passive solar buildings  

DOE Green Energy (OSTI)

A model is presented to characterize solar radiation with just three input parameters for each day. This compressed daily radiation data may be used in place of hourly data in simulations of passive solar buildings. This method is tested with the SUNCAT passive simulation. Global horizontal and direct normal radiation data are input using the compressed daily form instead of by hour. Simulation results are found to be comparable to results based on hourly radiation data.

Sillman, S.; Wortman, D.

1981-04-01T23:59:59.000Z

285

Statistical Analysis of Baseline Load Models for Non-Residential Buildings  

SciTech Connect

Policymakers are encouraging the development of standardized and consistent methods to quantify the electric load impacts of demand response programs. For load impacts, an essential part of the analysis is the estimation of the baseline load profile. In this paper, we present a statistical evaluation of the performance of several different models used to calculate baselines for commercial buildings participating in a demand response program in California. In our approach, we use the model to estimate baseline loads for a large set of proxy event days for which the actual load data are also available. Measures of the accuracy and bias of different models, the importance of weather effects, and the effect of applying morning adjustment factors (which use data from the day of the event to adjust the estimated baseline) are presented. Our results suggest that (1) the accuracy of baseline load models can be improved substantially by applying a morning adjustment, (2) the characterization of building loads by variability and weather sensitivity is a useful indicator of which types of baseline models will perform well, and (3) models that incorporate temperature either improve the accuracy of the model fit or do not change it.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote, Sila

2008-11-10T23:59:59.000Z

286

Assessing the Potential of Developing a Tool for Residential Facility Management Using Building Information Modeling Software  

E-Print Network (OSTI)

Building Information Modeling (BIM) has changed the ways buildings are designed and constructed. Along with design and construction, operation and maintenance of the built facility is also gaining importance in the Architecture-Engineering-Construction industry. Facility management (FM) is widely adopted by industrial, healthcare and other types of commercial facilities for better maintenance and management of assets. BIM is being adopted in the field of Facility management and has become one of the most important tools for better application of operation and maintenance. Facility management is performed by professionals with training and experience in the related fields of building operation, maintenance, upgrade and repair. BIM is a professional tool which requires intense training and knowledge. This tool cannot be used and is hard to understand for non-professionals and people who do not have training to use it. Management of residences is as important as management of commercial, industrial and healthcare facilities for the life and smooth running of such facilities. Residential facilities are properties with one or more residential units or buildings. These buildings could be low rise, high rise or individual units. This thesis will help in analyzing the scope of using BIM and Application Programming Interface (API) for management of maintenance in residences by the owner who are not professionally trained. The research analyzes a single, basic function of a BIM tool to determine the potential for such a tool to help non-expert, first time user to be able to understand their residential facilities maintenance requirements. It is an attempt to propose a system which provides alerts to the owners regarding required maintenance and which shows the location of the work in a 3D model. The system was designed and tested in Microsoft Windows 7 operating system by using Autodesk® Revit building information software to make the 3D model, a Revit API plug-in to craft the alerts and show the location of work and Open Database Connectivity (ODBC) to export the model to a web browser. The system worked through Revit program, but the concept of applying the system to work through web browser failed.

Madhani, Himanshu 1986-

2012-12-01T23:59:59.000Z

287

Industrial Buildings  

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

Industrial Industrial Industrial / Manufacturing Buildings Industrial/manufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey (MECS). See the MECS home page for further information. Commercial buildings found on a manufacturing industrial complex, such as an office building for a manufacturer, are not considered to be commercial if they have the same owner and operator as the industrial complex. However, they would be counted in the CBECS if they were owned and operated independently of the manufacturing industrial complex. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: January 21, 2003 Page last modified: May 5, 2009 10:18 AM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/industrial.html

288

Research utilization in the building industry: decision model and preliminary assessment  

Science Conference Proceedings (OSTI)

The Research Utilization Program was conceived as a far-reaching means for managing the interactions of the private sector and the federal research sector as they deal with energy conservation in buildings. The program emphasizes a private-public partnership in planning a research agenda and in applying the results of ongoing and completed research. The results of this task support the hypothesis that the transfer of R and D results to the buildings industry can be accomplished more efficiently and quickly by a systematic approach to technology transfer. This systematic approach involves targeting decision makers, assessing research and information needs, properly formating information, and then transmitting the information through trusted channels. The purpose of this report is to introduce elements of a market-oriented knowledge base, which would be useful to the Building Systems Division, the Office of Buildings and Community Systems and their associated laboratories in managing a private-public research partnership on a rational systematic basis. This report presents conceptual models and data bases that can be used in formulating a technology transfer strategy and in planning technology transfer programs.

Watts, R.L.; Johnson, D.R.; Smith, S.A.; Westergard, E.J.

1985-10-01T23:59:59.000Z

289

A crop model and fuzzy rule based approach for optimizing maize planting dates in Burkina Faso, West Africa  

Science Conference Proceedings (OSTI)

In Sub-Saharan Africa with high rainfall variability and little irrigation options, the crop planting date is a crucial tactical decision for farmers and therefore a major concern in agricultural decision making. To support decision making in ...

Moussa Waongo; Patrick Laux; Seydou B. Traoré; Moussa Sanon; Harald Kunstmann

290

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... thermal insulation; building technology; guarded hot plate; thermal conductivity; thermal resistance; uncertainty; transmission; mathematical models ...

291

Modeling attic humidity as a function of weather, building construction, and ventilation rates  

Science Conference Proceedings (OSTI)

A dynamic model for predicting attic relative humidity (RH) and roof-sheathing moisture content (MC) was developed for microcomputer application. The model accepts standard hourly weather data and building-design parameters as input. Model predictions gave good agreement with measured data from a house located in Madison, Wisconsin. Solar radiation varies with roof orientation and plays an important role in determining moisture transfer to and from the roof sheathing. Opposing roof surfaces must be differentiated in attic humidity models to account for the effect of solar radiation. The model described in this paper is capable of such differentiation. Snow accumulation on a roof can significantly alter the temperature and moisture conditions in an attic, but further research is needed to understand the effect of a snow layer on attic temperatures. Various scenarios were simulated with this model to determine the effect of building practice and ventilation strategies on roof sheathing MC. Direct control of RH in the living space by ventilation is very effective in lowering attic moisture conditions. Where natural ventilation is not adequate, a timer-controlled attic fan shows great promise for ensuring efficient and economical attic ventilation.

Gorman, T.M.

1987-01-01T23:59:59.000Z

292

Formal Calibration Methodology for CFD Model Development to Support the Operation of Energy Efficient Buildings  

E-Print Network (OSTI)

Computational Fluid Dynamics (CFD) is a robust tool for modeling interactions within and between fluids and solids. CFD can help understand and predict phenomena that are difficult to test experimentally leading to cleaner, healthier, and better controlled internal environments. In this research a CFD model of the internal environment of an office space will be developed. The CFD model will then be calibrated using real data taken from a well-positioned wireless sensor network and weather station. The work focuses on developing systematically calibrated CFD models for controlled environments that include clean rooms, health environments, pharmaceutical storage rooms and information and communication technology locations, utilizing wireless sensor networks. The calibrated CFD model will be used to optimize the positions of the physical sensors for the control of energy efficient internal environments by building operators. This could result in significant energy and economic savings and lead to more accurately controlled internal environments.

Hajdukiewicz, M.; Keane, M.; O'Flynn, B.; O'Grady, W.

2010-01-01T23:59:59.000Z

293

Model document for code officials on solar heating and cooling of buildings. First draft  

DOE Green Energy (OSTI)

The primary purpose of this document is to promote the use and further development of solar energy through a systematic categorizing of all the attributes in a solar energy system that may impact on those requirements in the nationally recognized model codes relating to the safeguard of life or limb, health, property, and public welfare. Administrative provisions have been included to integrate this document with presently adopted codes, so as to allow incorporation into traditional building, plumbing, mechanical, and electrical codes. In those areas where model codes are not used it is recommended that the requirements, references, and standards herein be adopted to regulate all solar energy systems. (MOW)

Not Available

1979-03-01T23:59:59.000Z

294

Date:............................................. Signed:..........................................  

E-Print Network (OSTI)

Our project is about evaluating the feasibility of applying Dines Bjørner’s approach to model and verify a real world train station. In this dissertation, we presented a comprehensive documentation of the work we have done in this project. We stated with the discussion of components in the railway domain, then discussed the theoretical and practical aspects of the Common Algebraic Specification Language Casl. After that, we presented a compilation of Bjørner’s Domain Specific Language (DSL) and carried out analysis of track plan based on the DSL. Techniques to capture the DSL in Casl were then discussed. Modelling of London Underground and a train station were both discussed. Finally, the dissertation ended up with an evaluation of our work in this project.

Wai Leung Sze

2011-01-01T23:59:59.000Z

295

Comprehensive Evaluation Model of Building Energy Efficiency Based on Rough Sets Theory  

E-Print Network (OSTI)

In order to improve the objectivity of building energy efficiency evaluation, this paper uses a new method to evaluate building energy efficiency on the basis of rough sets theory. The contribution of different subentry evaluation indicators to comprehensive evaluation is calculated with the conception of attribute-significance, and then their weights are decided by using weighted normalization. According to characteristics of subentry evaluation indicators, their scores are conformed, in the end their comprehensive evaluation is calculated depending on sums of weight normalization. The model is validated by the swatches that are given on base of the software "DeST". It is concluded that the comprehensive evaluation on base of the model coincides with the result of the software " DeST ". The contribution of shape coefficient is most important among the different factors, and building orientation is next. The method by which weight can be decided with the conception "attribute- significance from RS cuts down man-made factors” interfere., and objective results can be obtained.

Ding, L.; Ruan, X.; Huang, J.; Li, Y.

2006-01-01T23:59:59.000Z

296

Building America Top Innovations Hall of Fame Profile Â… Model Simulating Real Domestic Hot Water Use  

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

and the Davis Energy Group used the and the Davis Energy Group used the Domestic Hot Water Event Schedule Generator to accurately quantify effects of low and high water usage on distribution system measures such as pipe insulation, home run plumbing, and demand-controlled recirculation loops. As progress continues with high-R, tightly sealed thermal enclosures, domestic hot water becomes an increasingly important energy use in high-performance homes. Building America research has improved our ability to model hot water use so new hot water technologies can be more accurately assessed and more readily integrated into high-performance homes. Energy savings for certain residential building technologies depend greatly on occupant behavior. Domestic hot water use is a good example. Simulating

297

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

E-Print Network (OSTI)

for Achieving Net Zero-Energy Buildings in the Commercialand Renewable Energy, Building Technologies Program, of theconvert these very low energy buildings to a net zero energy

Coffey, Brian

2010-01-01T23:59:59.000Z

298

Modeling Building Energy Use and HVAC Efficiency Improvements in Extreme Hot and Humid Regions  

E-Print Network (OSTI)

An energy analysis was performed on the Texas A & M University at Qatar building in Doha, Qatar. The building and its HVAC systems were modeled using EnergyPlus. Building chilled water and electrical data were collected to validate the computer simulation. The simulated monthly electricity consumption was within plus/minus 5 percent of the metered building data. Ninety-five percent of simulated hourly electricity data in a day were within plus/minus 10 percent of metered data. Monthly chilled water demand was within plus/minus 18 percent of measurements, and simulated monthly demand was correlated to metered monthly values with an R-squared correlation coefficient of 0.95. Once the simulation was verified with the metered data, an optimization of the building's HVAC systems was performed. Better utilizing the building's variable speed fans at part loads showed potential annual electricity savings of 16 percent over the base case, with another 22 percent savings in chilled water energy. After converting chilled water savings to equivalent chiller electricity savings, the potential utility cost savings over the base case were found to be $90,000/yr at local utility rates. Reducing outdoor air intake to ASHRAE indoor air quality minimums yielded an additional 17 percent in potential chilled water savings and brought total monetary savings over the base case to $110,000/yr. Using a dedicated outside air system to precisely control individual zone ventilation showed potential for an additional 12 percent chilled water savings and $14,000 in yearly utility savings, while also eliminating cases of under-ventilation. A hypothetical retrofit of fan powered terminal units (FPTU's) resulted in energy savings only at very low minimum flow rates, below ventilation standards. Savings were never more than 20 percent over the no-fan case. Series FPTU's showed no savings at any flow setting and negligible difference was found between ECM and SCR motor control. Finally, the dependence on climate of each improvement was studied. Simulations were run in the relatively milder climates of Houston and Phoenix and compared to those found for Doha. It was found that variable speed fan operation is a more cost effective option for milder climates, while outside air control is more cost effective in extreme hot and humid climates such as Doha. Future study is needed to make the FPTU model valid for different climates and flow ranges.

Bible, Mitchell

2011-08-01T23:59:59.000Z

299

Role of Modeling When Designing for Absolute Energy Use Intensity Requirements in a Design-Build Framework: Preprint  

SciTech Connect

The Research Support Facility was designed to use half the energy of an equivalent minimally code-compliant building, and to produce as much renewable energy as it consumes on an annual basis. These energy goals and their substantiation through simulation were explicitly included in the project's fixed firm price design-build contract. The energy model had to be continuously updated during the design process and to match the final building as-built to the greatest degree possible. Computer modeling played a key role throughout the design process and in verifying that the contractual energy goals would be met within the specified budget. The main tool was a whole building energy simulation program. Other models were used to provide more detail or to complement the whole building simulation tool. Results from these specialized models were fed back into the main whole building simulation tool to provide the most accurate possible inputs for annual simulations. This paper will detail the models used in the design process and how they informed important program and design decisions on the path from preliminary design to the completed building.

Hirsch, A.; Pless, S.; Guglielmetti, R.; Torcellini, P. A.; Okada, D.; Antia, P.

2011-03-01T23:59:59.000Z

300

Role of Modeling When Designing for Absolute Energy Use Intensity Requirements in a Design-Build Framework: Preprint  

SciTech Connect

The Research Support Facility was designed to use half the energy of an equivalent minimally code-compliant building, and to produce as much renewable energy as it consumes on an annual basis. These energy goals and their substantiation through simulation were explicitly included in the project's fixed firm price design-build contract. The energy model had to be continuously updated during the design process and to match the final building as-built to the greatest degree possible. Computer modeling played a key role throughout the design process and in verifying that the contractual energy goals would be met within the specified budget. The main tool was a whole building energy simulation program. Other models were used to provide more detail or to complement the whole building simulation tool. Results from these specialized models were fed back into the main whole building simulation tool to provide the most accurate possible inputs for annual simulations. This paper will detail the models used in the design process and how they informed important program and design decisions on the path from preliminary design to the completed building.

Hirsch, A.; Pless, S.; Guglielmetti, R.; Torcellini, P. A.; Okada, D.; Antia, P.

2011-03-01T23:59:59.000Z

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

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... of this building in two challenging North American climates. ... building in its native climate were performed ... were formulated-a single-zone model with ...

302

Comparison of simplified models of urban climate for improved prediction of building energy use in cities  

E-Print Network (OSTI)

Thermal simulation of buildings is a requisite tool in the design of low-energy buildings, yet, definition of weather boundary conditions during simulation of urban buildings suffers from a lack of data that accounts for ...

Street, Michael A. (Michael Anthony)

2013-01-01T23:59:59.000Z

303

Seismic Performance, Modeling, and Failure Assessment of Reinforced Concrete Shear Wall Buildings  

E-Print Network (OSTI)

Post- Tensioned Concrete Buildings,” PEER Report 2011/104,RC shear walls in high-rise buildings,” The Young ResearcherExtended 3D Analysis of Building Structures, Computers and

Tuna, Zeynep

2012-01-01T23:59:59.000Z

304

Residential building energy analysis : development and uncertainty assessment of a simplified model  

E-Print Network (OSTI)

Effective design of energy-efficient buildings requires attention to energy issues during the preliminary stages of design. To aid in the early consideration of a building's future energy usage, a simplified building energy ...

Spindler, Henry C. (Henry Carlton), 1970-

1998-01-01T23:59:59.000Z

305

Development of an Object-Oriented Building Physics Library and  

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

Development of an Object-Oriented Building Physics Library and Development of an Object-Oriented Building Physics Library and Investigation and Optimization of Hygrothermal and Hygienic Comfort in Rooms Speaker(s): Thierry Nouidui Date: October 14, 2010 - 12:00pm Location: 90-3122 The development of ventilation strategies for moisture problems, the reduction of the heating and cooling demands, the guarantee of hygrothermal and hygienic comfort in building constructions as well as the performance and the durability of building components are questions which are related to the strong interactions between the climate conditions, the building use and the building envelope. These questions can be answered with the help of efficient building simulation tools before building construction or retrofit. Until now, models which used the generic concepts of

306

Honest Buildings | Open Energy Information  

Open Energy Info (EERE)

Honest Buildings Honest Buildings Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Honest Buildings Agency/Company /Organization: Honest Buildings Sector: Energy Focus Area: Buildings Resource Type: Software/modeling tools User Interface: Website Website: www.honestbuildings.com/ Web Application Link: www.honestbuildings.com/ Cost: Free Honest Buildings Screenshot References: Honest Buildings[1] Logo: Honest Buildings Honest Buildings is a software platform focused on buildings. It brings together building service providers, occupants, owners, and other stakeholders onto a single portal to exchange information, offerings, and needs. It provides a voice for everyone who occupies buildings, works with buildings, and owns buildings globally to comment, display projects, and

307

Solar radiation and daylight illuminance modelling and implications for building integrated photovoltaic system designs.  

E-Print Network (OSTI)

???Recently, there has been an increasing awareness of building energy conservation. Renewable energy can produce energy without emitting pollutant and requires no fuel. Energy-efficient building… (more)

Lam, Ngan Tung Tony (???)

2008-01-01T23:59:59.000Z

308

Architectures and languages for model building and reuse: organization and selection of reconfigurable models  

Science Conference Proceedings (OSTI)

This paper introduces the concept of reconfigurable simulation models and describes how these models can be used to support simulation-based design. As in object-oriented programming, a reconfigurable model consists of a separate interface and multiple ...

Antonio Diaz-Calderon; Christiaan J. J. Paredis; Pradeep K. Khosla

2000-12-01T23:59:59.000Z

309

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

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

5, 2013 5, 2013 CX-010181: Categorical Exclusion Determination Building 26 Air Handlers and In-Line Return Fans Replacement CX(s) Applied: B1.3, B1.22, B.1.31 Date: 04/25/2013 Location(s): West Virginia Offices(s): National Energy Technology Laboratory April 25, 2013 CX-010180: Categorical Exclusion Determination A Universal Combustion Model to Predict Premixed and Non-Premixed Turbulent Flames in Compression CX(s) Applied: A9 Date: 04/25/2013 Location(s): Other Location Offices(s): National Energy Technology Laboratory April 25, 2013 CX-010179: Categorical Exclusion Determination Modeling and Experimental Studies of Controllable Cavity Turbulent Jet Ignition CX(s) Applied: B3.6 Date: 04/25/2013 Location(s): Michigan Offices(s): National Energy Technology Laboratory April 25, 2013

310

Real-time Building Energy Simulation using EnergyPlus and the Building  

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

Real-time Building Energy Simulation using EnergyPlus and the Building Real-time Building Energy Simulation using EnergyPlus and the Building Controls Virtual Test Bed Title Real-time Building Energy Simulation using EnergyPlus and the Building Controls Virtual Test Bed Publication Type Conference Proceedings LBNL Report Number LBNL-5390E Year of Publication 2011 Authors Pang, Xiufeng, Prajesh Bhattacharya, Zheng O'Neill, Philip Haves, Michael Wetter, and Trevor Bailey Conference Name Proc. of the 12th IBPSA Conference Pagination p. 2890-2896 Date Published 11/2011 Conference Location Sydney, Australia Abstract Most commercial buildings do not perform as well in practice as intended by the design and their performances often deteriorate over time. Reasons include faulty construction, malfunctioning equipment, incorrectly configured control systems and inappropriate operating procedures (Haves et al., 2001, Lee et al., 2007). To address this problem, the paper presents a simulation-based whole building performance monitoring tool that allows a comparison of building actual performance and expected performance in real time. The tool continuously acquires relevant building model input variables from existing Energy Management and Control System (EMCS). It then reports expected energy consumption as simulated of EnergyPlus. The Building Control Virtual Test Bed (BCVTB) is used as the software platform to provide data linkage between the EMCS, an EnergyPlus model, and a database. This paper describes the integrated real-time simulation environment. A proof-of-concept demonstration is also presented in the paper.

311

Beyond Buildings  

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

without compromising future generations SUSTAINABLE INL Buildings Beyond Buildings Sustainability Beyond Buildings INL is taking sustainability efforts "beyond buildings" by...

312

Improving Building Performance at Urban Scale with a Framework for  

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

Building Performance at Urban Scale with a Framework for Building Performance at Urban Scale with a Framework for Real-time Data Sharing Title Improving Building Performance at Urban Scale with a Framework for Real-time Data Sharing Publication Type Conference Proceedings LBNL Report Number LBNL-6303E Year of Publication 2013 Authors Pang, Xiufeng, Tianzhen Hong, and Mary Ann Piette Date Published 05/2013 Keywords building performance, energy efficiency, energy modeling, optimal operation, urban scale. Abstract This paper describes work in progress toward an urban-scale system aiming to reduce energy use in neighboring buildings by providing three components: a database for accessing past and present weather data from high quality weather stations; a network for communicating energy-saving strategies between building owners; and a set of modeling tools for real-time building energy simulation.

313

BUDGET KEY DATES  

Science Conference Proceedings (OSTI)

BUDGET KEY DATES. For Immediate Release: December 15, 2009. Contact: Diane Belford 301-975-8400. Budget Key Dates.

2013-06-16T23:59:59.000Z

314

Building Technologies Office: Energy Efficient Buildings Hub  

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

Efficient Buildings Hub Efficient Buildings Hub This model of a renovated historic building-Building 661-in Philadelphia will house the Energy Efficient Buildings Hub. The facility's renovation will serve as a best practices model for commercial building design, historic adaptive re-use, and energy efficiency innovation through continuous retrofit. The U.S. Department of Energy created the Energy Efficient Buildings Hub in Philadelphia, Pennsylvania to promote regional job creation and economic growth while also improving the energy efficiency of commercial buildings. Established in 2011, the Energy Efficient Buildings Hub seeks to demonstrate how innovating technologies can help building owners and operators can save money by adopting energy efficient technologies and techniques. The goal is to enable the nation to cut energy use in the commercial buildings sector by 20% by 2020.

315

Computer Modeling VRF Heat Pumps in Commercial Buildings using EnergyPlus  

Science Conference Proceedings (OSTI)

Variable Refrigerant Flow (VRF) heat pumps are increasingly used in commercial buildings in the United States. Monitored energy use of field installations have shown, in some cases, savings exceeding 30% compared to conventional heating, ventilating, and air-conditioning (HVAC) systems. A simulation study was conducted to identify the installation or operational characteristics that lead to energy savings for VRF systems. The study used the Department of Energy EnergyPlus? building simulation software and four reference building models. Computer simulations were performed in eight U.S. climate zones. The baseline reference HVAC system incorporated packaged single-zone direct-expansion cooling with gas heating (PSZ-AC) or variable-air-volume systems (VAV with reheat). An alternate baseline HVAC system using a heat pump (PSZ-HP) was included for some buildings to directly compare gas and electric heating results. These baseline systems were compared to a VRF heat pump model to identify differences in energy use. VRF systems combine multiple indoor units with one or more outdoor unit(s). These systems move refrigerant between the outdoor and indoor units which eliminates the need for duct work in most cases. Since many applications install duct work in unconditioned spaces, this leads to installation differences between VRF systems and conventional HVAC systems. To characterize installation differences, a duct heat gain model was included to identify the energy impacts of installing ducts in unconditioned spaces. The configuration of variable refrigerant flow heat pumps will ultimately eliminate or significantly reduce energy use due to duct heat transfer. Fan energy is also studied to identify savings associated with non-ducted VRF terminal units. VRF systems incorporate a variable-speed compressor which may lead to operational differences compared to single-speed compression systems. To characterize operational differences, the computer model performance curves used to simulate cooling operation are also evaluated. The information in this paper is intended to provide a relative difference in system energy use and compare various installation practices that can impact performance. Comparative results of VRF versus conventional HVAC systems include energy use differences due to duct location, differences in fan energy when ducts are eliminated, and differences associated with electric versus fossil fuel type heating systems.

Raustad, Richard

2013-06-01T23:59:59.000Z

316

Mobile Building Energy Audit and Modeling Tools: Cooperative Research and Development Final Report, CRADA Number CRD-11-00441  

SciTech Connect

Broadly accessible, low cost, accurate, and easy-to-use energy auditing tools remain out of reach for managers of the aging U.S. building population (over 80% of U.S. commercial buildings are more than 10 years old*). concept3D and NREL's commercial buildings group will work to translate and extend NREL's existing spreadsheet-based energy auditing tool for a browser-friendly and mobile-computing platform. NREL will also work with concept3D to further develop a prototype geometry capture and materials inference tool operable on a smart phone/pad platform. These tools will be developed to interoperate with NREL's Building Component Library and OpenStudio energy modeling platforms, and will be marketed by concept3D to commercial developers, academic institutions and governmental agencies. concept3D is NREL's lead developer and subcontractor of the Building Component Library.

Brackney, L.

2013-04-01T23:59:59.000Z

317

Mobile Building Energy Audit and Modeling Tools: Cooperative Research and Development Final Report, CRADA Number CRD-11-00441  

SciTech Connect

Broadly accessible, low cost, accurate, and easy-to-use energy auditing tools remain out of reach for managers of the aging U.S. building population (over 80% of U.S. commercial buildings are more than 10 years old*). concept3D and NREL's commercial buildings group will work to translate and extend NREL's existing spreadsheet-based energy auditing tool for a browser-friendly and mobile-computing platform. NREL will also work with concept3D to further develop a prototype geometry capture and materials inference tool operable on a smart phone/pad platform. These tools will be developed to interoperate with NREL's Building Component Library and OpenStudio energy modeling platforms, and will be marketed by concept3D to commercial developers, academic institutions and governmental agencies. concept3D is NREL's lead developer and subcontractor of the Building Component Library.

Brackney, L.

2013-04-01T23:59:59.000Z

318

Digital buildings - Challenges and opportunities  

Science Conference Proceedings (OSTI)

This paper considers the wider implications of digital buildings (as currently exemplified by building information models) becoming the norm within the building construction sector. Current deployment is reviewed and the growing opportunity to better ... Keywords: BIM, Building, Digital, Futures, Sustainability

Alastair Watson

2011-10-01T23:59:59.000Z

319

Wyoming | Building Energy Codes Program  

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

Wyoming Wyoming Last updated on 2013-06-03 Commercial Residential Code Change Current Code None Statewide Amendments / Additional State Code Information The International Conference of Building Officials (ICBO) Uniform Building Code, which is based on the 1989 Model Energy Code (MEC), may be adopted and enforced by local jurisdictions. Approved Compliance Tools Can use COMcheck State Specific Research Impacts of ASHRAE Standard 90.1-2007 for Commercial Buildings in the State of Wyoming (BECP Report, Sept. 2009) Approximate Energy Efficiency Less energy efficient than 2003 IECC Effective Date 08/13/2008 Code Enforcement Voluntary DOE Determination ASHRAE Standard 90.1-2007: No ASHRAE Standard 90.1-2010: No Wyoming DOE Determination Letter, May 31, 2013 Current Code None Statewide

320

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

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

31, 2010 31, 2010 CX-003665: Categorical Exclusion Determination High Performance Buildings Program - Hawthorne Hotel CX(s) Applied: B5.1 Date: 08/31/2010 Location(s): Salem, Massachusetts Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory August 31, 2010 CX-003619: Categorical Exclusion Determination Advanced Technology Vehicle Manufacturing Project - Model S Manufacturing Facility CX(s) Applied: B1.31 Date: 08/31/2010 Location(s): Fremont, California Office(s): Advanced Technology Vehicles Manufacturing Loan Program August 30, 2010 CX-003641: Categorical Exclusion Determination Demolition and Recycling of the SIX Tesla Superconducting Dipole Magnet System CX(s) Applied: B3.6 Date: 08/30/2010 Location(s): DuPage County, Illinois Office(s): Science, Argonne Site Office

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

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

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

22, 2012 22, 2012 CX-007925: Categorical Exclusion Determination Severe Environment Corrosion and Erosion Research Facility CX(s) Applied: B3.6 Date: 02/22/2012 Location(s): Oregon Offices(s): National Energy Technology Laboratory February 22, 2012 CX-007924: Categorical Exclusion Determination Developing Next Generation High Power Batteries CX(s) Applied: B5.1 Date: 02/22/2012 Location(s): Texas Offices(s): National Energy Technology Laboratory February 22, 2012 CX-007824: Categorical Exclusion Determination Bettis Atomic Power Laboratory- MRTC Office Building CX(s) Applied: B1.15 Date: 02/22/2012 Location(s): CX: none Offices(s): Naval Nuclear Propulsion Program February 22, 2012 CX-007901: Categorical Exclusion Determination Improving Atmospheric Models for Offshore Wind Resource Mapping and

322

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

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

4, 2011 4, 2011 CX-005296: Categorical Exclusion Determination West Virginia-County-Raleigh CX(s) Applied: B2.5, B5.1 Date: 02/14/2011 Location(s): Raleigh County, West Virginia Office(s): Energy Efficiency and Renewable Energy February 14, 2011 CX-005280: Categorical Exclusion Determination Demolition of Buildings 11-10 and 11-30 CX(s) Applied: B1.23 Date: 02/14/2011 Location(s): Amarillo, Texas Office(s): NNSA-Headquarters, Pantex Site Office February 14, 2011 CX-005267: Categorical Exclusion Determination Indiana-City-Hammond CX(s) Applied: A1, A9, A11, B5.1 Date: 02/14/2011 Location(s): Hammond, Indiana Office(s): Energy Efficiency and Renewable Energy February 14, 2011 CX-005201: Categorical Exclusion Determination Tall Tower Wind Energy Monitoring and Numerical Model Validation in

323

Building a predictive model of indoor concentrations of outdoor PM-2.5 for  

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

Building a predictive model of indoor concentrations of outdoor PM-2.5 for Building a predictive model of indoor concentrations of outdoor PM-2.5 for a residential research house in Clovis, California Title Building a predictive model of indoor concentrations of outdoor PM-2.5 for a residential research house in Clovis, California Publication Type Report Year of Publication 2002 Authors Fischer, Marc L., Melissa M. Lunden, Tracy L. Thatcher, David Littlejohn, Thomas W. Kirchstetter, Susanne V. Hering, Richard G. Sextro, and Nancy J. Brown Abstract The prevalence of relocatable classrooms (RCs) at schools is rising due to federal and state initiatives to reduce K-3 class size, and limited capital resources. Concerns regarding inadequate ventilation and indoor air and environmental quality (IEQ) in RCs have been raised. Adequate ventilation is an important link between improved IEQ and energy efficiency for schools. Since students and teachers spend the majority of a 7-8 hour school day inside classrooms, indoor contaminant concentrations are assumed to drive personal school-day exposures. We conducted a demonstration project in new relocatable classrooms (RCs) during the 2001-02 school year to address these issues. Four new 24' x 40' (960 ft2) RCs were constructed and sited in pairs at an elementary school campus in each of two participant school districts (SD) in Northern California. Each RC was equipped with two heating, ventilation, and air conditioning (HVAC) systems, one per module. The two HVAC systems were a standard heat pump with intermittent 25-50% outdoor air ventilation and an energy-efficient advanced system, based on indirect-direct evaporative cooling with an integrated natural gas-fired hydronic heating loop and improved particle filtration, providing continuous 100% outdoor air ventilation at = 15 ft3 min-1 occupant-1. Alternate carpets, wall panels, and ceiling panels were installed in two classrooms -- one in each pair -- based on the results of a laboratory study of VOC emissions from standard and alternate materials. Numerous IEQ and outdoor air quality and meteorological parameters were measured either continuously over the school year or as integrated school day samples during the fall cooling and winter heating seasons. Details of the RC designs, the field monitoring methodology including handling, storage, transport and management of chemical samples and data, and analyses to be conducted are presented

324

Original article: Power flow Petri Net modelling for building integrated multi-source power system with smart grid interaction  

Science Conference Proceedings (OSTI)

This paper presents an energy management modelling of a multi-source power system composed of photovoltaic (PV) array, storage and power grid connection, and taking into account messages from smart grid. The designed system can supply a tertiary building ... Keywords: Energy management, Petri Net modelling, Photovoltaic, Smart grid, Stateflow

B. C. Wang, M. Sechilariu, F. Locment

2013-05-01T23:59:59.000Z

325

Compare Activities by Building Age  

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

Activities by Building Age Activities by Building Age Compare Activities by ... Building Age Median Age of Building by Building Type Vacant buildings, retail stores (other than malls), and religious worship buildings tended to be the oldest buildings. Food sales buildings (which were predominantly convenience stores) and outpatient health care buildings were mainly newer buildings. Figure showing median age of building by building type. If you need assistance viewing this page, please call 202-586-8800. Specific questions may be directed to: Joelle Michaels joelle.michaels@eia.doe.gov CBECS Manager Release date: July 24, 2002 Page last modified: May 4, 2009 2:52 PM http://www.eia.gov/consumption/commercial/data/archive/cbecs/pba99/compareage.html If you are having any technical problems with this site, please contact the EIA

326

Building a Model Patient Room to Test Design Innovations With Actual Patients  

E-Print Network (OSTI)

comfortable hospital environment SUMMARY Designing and constructing a new hospital is a complex and costly undertaking that involves experts from many disciplines both inside and outside the health care arena. But despite expending funds and time, hospital leaders often discover significant flaws once a hospital opens that can undermine the quality of patient care and staff effectiveness and efficiency. From 2010 to 2012, a team at the Princeton HealthCare System worked to devise an optimal design for inpatient rooms at a new hospital: the University Medical Center of Princeton at Plainsboro. The project entailed building a “functional model patient room.” This was a unique and innovative method to allow the team to test design innovations with actual patients, according to project director Susan Lorenz, DrNP, RN, vice president of patient care services and chief nursing officer for the Princeton HealthCare System. The project helped support the emerging field of evidence-based hospital design.

A Princeton; More Efficient; Key Results

2013-01-01T23:59:59.000Z

327

Performance and Modeling of Amorphous Silicon Photovoltaics for Building-Integrated Applications (Preprint prepared for Solar 99)  

Science Conference Proceedings (OSTI)

Amorphous silicon photovoltaic (PV) modules offer several advantages for building-integrated applications. The material can be deposited on glass or flexible substrates, which allows for products like roofing shingles and integrated PV/building glass. The material also has a uniform surface, which is ideal for many architectural applications. Amorphous silicon modules perform well in warm weather and have a small temperature coefficient for power. Depending on the building load, this may be beneficial when compared to crystalline systems. At the National Renewable Energy Laboratory, we are monitoring the performance of a triple-junction a-Si system. The system consists of 72 roofing shingles mounted directly to simulated roofing structures. This paper examines the performance of the building-integrated amorphous silicon PV system and applicability for covering residential loads. A simple model of system performance is also developed and is presented.

Kroposki, B.; Hansen, R.

1998-06-07T23:59:59.000Z

328

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... energy management system. Friend or Foe? ... Bushby, ST; Information Model for Building Automation Systems. Automation in Construction, Vol. ...

329

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... sprinklers; egress; fire spread; fire models; polyurethane foams; pyrotechnics; smoke; insulation; death; fire fatalities; building codes; fire codes ...

330

Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation  

SciTech Connect

This simulation study adapts and applies the general framework described in BESTEST-EX (Judkoff et al 2010) for self-testing residential building energy model calibration methods. BEopt/DOE-2.2 is used to evaluate four mathematical calibration methods in the context of monthly, daily, and hourly synthetic utility data for a 1960's-era existing home in a cooling-dominated climate. The home's model inputs are assigned probability distributions representing uncertainty ranges, random selections are made from the uncertainty ranges to define 'explicit' input values, and synthetic utility billing data are generated using the explicit input values. The four calibration methods evaluated in this study are: an ASHRAE 1051-RP-based approach (Reddy and Maor 2006), a simplified simulated annealing optimization approach, a regression metamodeling optimization approach, and a simple output ratio calibration approach. The calibration methods are evaluated for monthly, daily, and hourly cases; various retrofit measures are applied to the calibrated models and the methods are evaluated based on the accuracy of predicted savings, computational cost, repeatability, automation, and ease of implementation.

Robertson, J.; Polly, B.; Collis, J.

2013-09-01T23:59:59.000Z

331

Development of 20 IEER Rooftop Units System Modeling and Building Energy Simulations  

Science Conference Proceedings (OSTI)

Based on detailed steady-state system and component modeling, we developed a rooftop unit system design, which is able to achieve IEER (Integrated Energy Efficiency Ratio) higher than 20. We modeled fin-&-tube and micro-channel heat exchangers using segment-to-segment approach, and use AHRI 10-coefficient compressor map to simulate compressor performance. The system modeling is based on a component-based modeling approach, which facilitates flexible simulation of complicated system configurations. Starting with a baseline system having IEER of 16.6, we extensively investigated numerous technical options, i.e. varying compressor sizes, heat exchanger fin densities, fin-&-tube or micro-channel heat exchanger, suction line heat exchanger, desiccant wheel, tandem compressor, variable-speed compressor, and condenser evaporative pre-cooling; and developed an innovative system configuration combining a tandem compression system with a variable-speed compression system. The combined system can achieve high IEER as well as process the outdoor ventilation air over an extensive range. We successfully evaluated the design concept for a 20-ton (70.4 kW) unit as well as a 10-ton (35.2 kW) unit. All the selected components are readily accessible on the market, and we validated the performance predictions against existing Rooftop Unit (RTU) products at the rating condition. This paper illustrates a potentially cost-effective high IEER RTU design. In addtion, we conducted extensive building energy simulations using EnergyPlus to predict seasonal energy saving potentials and peak power reductions using the High IEER RTU in sixteen US cities, in comparison to a RTU with a minimum efficiency.

Shen, Bo [ORNL; Rice, C Keith [ORNL; Vineyard, Edward [Oak Ridge National Laboratory (ORNL)

2013-01-01T23:59:59.000Z

332

Memorandum of Understanding on Improving the Energy Efficiency of Products and Buildings between the U.S. Environmental Protection Agency and the U.S. Department of Energy, dated September 30, 2009  

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

on on Improving the Energy Efficiency of Products and Buildings Between The U.S. Environmental Protection Agency and The U.S. Department of Energy I. Overview and Purpose * Purpose: Enhanced and expanded federal programs to advance energy efficiency are critical to addressing climate change, economic, and energy security issues. * Common Goals and Objectives: The U.S. Environmental Protection Agency (EPA) and the U.S. Department of Energy (DOE) are agreeing to: o Expand and enhance federal energy efficiency programs so as to improve the efficiency of a broad set of energy-using products and improve the efficiency of the nation's buildings, o Build upon the important roles of each Agency in advancing energy efficiency in products and buildings, and

333

Modelica-based Modeling and Simulation to Support Research and Development in Building Energy and Control Systems  

SciTech Connect

Traditional building simulation programs possess attributes that make them difficult to use for the design and analysis of building energy and control systems and for the support of model-based research and development of systems that may not already be implemented in these programs. This article presents characteristic features of such applications, and it shows how equation-based object-oriented modelling can meet requirements that arise in such applications. Next, the implementation of an open-source component model library for building energy systems is presented. The library has been developed using the equation-based object-oriented Modelica modelling language. Technical challenges of modelling and simulating such systems are discussed. Research needs are presented to make this technology accessible to user groups that have more stringent requirements with respect to the numerical robustness of simulation than a research community may have. Two examples are presented in which models from the here described library were used. The first example describes the design of a controller for a nonlinear model of a heating coil using model reduction and frequency domain analysis. The second example describes the tuning of control parameters for a static pressure reset controller of a variable air volume flow system. The tuning has been done by solving a non-convex optimization problem that minimizes fan energy subject to state constraints.

Wetter, Michael

2009-02-12T23:59:59.000Z

334

Succinic Acid-A Model Building Block for Chemical Production from Renewable Resources  

Science Conference Proceedings (OSTI)

One of the major considerations for the development of new technologies that can be utilized in a corn wet mill for the production of new chemical products is the concept of platform building blocks. This concept is based on the fact that a single building block has the potential to create a significant number of final products. Succinic acid represents a building block that can be used as a starting material for producing a large number of commodity and specialty chemicals.

Werpy, Todd A.; Frye, John G.; Holladay, John E.

2006-04-01T23:59:59.000Z

335

Design-Build-Operate Energy Information Modeling (DBO-EIM) for...  

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

Center for Sustainable Landscapes in Pittsburgh, PA, targeted to achieve the "Living Building Challenge" certification, is used as a demonstrative case study. The...

336

Facilities management: the development of a model for building condition assessment surveys conducted at Fort Riley, Kansas  

E-Print Network (OSTI)

The purpose of this study is to document the research and design of a condition assessment system for buildings by utilizing case study methods for the facilities located at Fort Riley, Kansas, an Army military installation. The design of the assessment or auditing system incorporates the following procedures: (1) identification of building components, (2) identification of building sub-components, (3) utilization of decision-tree logic diagrams to manage the information, and (4) production of inspection condition criteria and scoring for each sub-component (by visual inspection techniques) . The system was used by multiple inspectors to assess the buildings at Fort Riley. The inspectors received training in the system scoring and methodology. To verify the system's accuracy, ten percent (10%) of the buildings were re-inspected by the developers of the system (quality control) . The analysis of the system included a random sample of 20 buildings from the data collected. The data were analyzed for accuracy and consistency on the component and sub-component recognition and the inspection condition score (as compared to the quality control results) The actual inspection time was monitored to record the inspection efficiency. Statistical testing was conducted which did the following: (1) analyzed the data pair means for any significant differences, and (2) analyzed the strength of the pair relationships. From the data analysis the following was found: (1) the components and sub-components were recognized accurately and consistently, (2) the actual scores seemed to be accurate and consistent (after conducting the statistical test (T-Test) some of the means did indicate that there were some significant differences, while others indicated there were no significant differences) , (3) the data indicated that there was correlation between the data pairs. Also, it was found that this system provides reasonable inspection time and cost restraints. The building assessments are incorporated into an information system that assists the user in establishing priorities. The cost factors for each sub-component are based on building models that relate the quantities of the different sub-components to the actual floor area of the buildings. From these building models conceptual estimates can be generated and used as a tool to budget, justify, and anticipate maintenance and repair costs.

Riblett, Carl Olin

1993-01-01T23:59:59.000Z

337

Abstract--We present new approaches for building yearly and seasonal models for 5-minute ahead electricity load  

E-Print Network (OSTI)

electricity load forecasting. They are evaluated using two full years of Australian electricity load data. We first analyze the cyclic nature of the electricity load and show that the autocorrelation function to building a single yearly model. I. INTRODUCTION PREDICTING the future electricity demand, also called

Koprinska, Irena

338

Model Code for the Prevention of Residential HAC Distribution System Leakage and HAC-Induced Building Leakage, 1994 Edition  

E-Print Network (OSTI)

This model code is the 1994 revision of an earlier code published in the Proceedings Of The Seventh Annual Symposium On Improving Building Systems In Hot And Humid Climates, Texas A&M University, Department of Mechanical Engineering in 1990. It contains additional closure systems, application practices, and definitions, and it addresses systems unique to mobile homes.

Wemhoff, P.

1994-01-01T23:59:59.000Z

339

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

340

buildings | OpenEI  

Open Energy Info (EERE)

buildings buildings Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides NOx SO2

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

Daylighting design analysis. Project status report No. 2, 1 March-31 December 1980. [For pre-engineered metal buildings  

DOE Green Energy (OSTI)

Detailed scale model studies regarding daylighting aspects of the passive/hybrid solar test building located at Butler Research Center in Grandview, MO are discussed. The product development program is aimed at providing passive/hybrid system building alternatives for commercial, industrial, and community purchasers of Butler's Landmark pre-engineered metal buildings. Occasioned by recognition, early in the project, that daylighting could strongly influence annual energy consumption in buildings of the targetted use types, scale models of several alternative design configurations, including that of the test building in Grandview, were built and tested. The major design alternatives, test results, and conclusions to date are described.

Hallagan, W.B.; Lindsey, L.L.; Snyder, M.K.

1980-01-01T23:59:59.000Z

342

Oak Ridge Finishes Site's Largest Demolition Project to Date | Department  

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

Finishes Site's Largest Demolition Project to Date Finishes Site's Largest Demolition Project to Date Oak Ridge Finishes Site's Largest Demolition Project to Date July 1, 2012 - 12:00pm Addthis BEFORE: An aerial photo shows Building K-33 before demolition. BEFORE: An aerial photo shows Building K-33 before demolition. AFTER: This photo shows the site of Building K-33 following completion of the demolition project. AFTER: This photo shows the site of Building K-33 following completion of the demolition project. BEFORE: An aerial photo shows Building K-33 before demolition. AFTER: This photo shows the site of Building K-33 following completion of the demolition project. OAK RIDGE, Tenn. - This month, the Oak Ridge Environmental Management (EM) program finished the final phase of the Building K-33 demolition

343

Modeling and Optimization of Commercial Buildings and Stationary Fuel Cell Systems (Presentation)  

DOE Green Energy (OSTI)

This presentation describes the Distributed Generation Building Energy Assessment Tool (DG-BEAT) developed by the National Renewable Energy Laboratory and the University of California Irvine. DG-BEAT is designed to allow stakeholders to assess the economics of installing stationary fuel cell systems in a variety of building types in the United States.

Ainscough, C.; McLarty, D.; Sullivan, R.; Brouwer, J.

2013-10-01T23:59:59.000Z

344

A System Level Model of Possible Integration of Building Management System in SmartGrid  

Science Conference Proceedings (OSTI)

Building Management Systems (BMS) could be seen as a kind of module inside wider SmartGrid system. The incorporation of BMS must consider both technical as well as commercial issues. Hence, the efficient integration will require standards' harmonization ... Keywords: Building Management System, SmartGrid, HVAC, UML

Slobodan Lukovic; Velimir Congradac; Filip Kulic

2010-02-01T23:59:59.000Z

345

Exploiting Generalized Additive Models for Diagnosing Abnormal Energy Use in Buildings  

Science Conference Proceedings (OSTI)

Buildings consume 40% of the energy in industrialized countries. Thus detecting and diagnosing anomalies in the building's energy use is an important problem. The existing approaches either retrieve limited information about the anomaly causes, or are ... Keywords: Fault Detection & Diagnosis, GAM, Prediction

Joern Ploennigs, Bei Chen, Anika Schumann, Niall Brady

2013-11-01T23:59:59.000Z

346

Effective and Comfortable Power Control Model Using Kalman Filter for Building Energy Management  

Science Conference Proceedings (OSTI)

In building environment energy management is a big problem in recent years. Several methods and proposals exist in the literature for energy management, but the trade-off between occupants comfort level and energy usage is still a major challenge and ... Keywords: Comfort index, Energy management in buildings, Energy savings Kalman filter, Fuzzy logic

Safdar Ali, Do-Hyeun Kim

2013-12-01T23:59:59.000Z

347

Building Technologies Office: Residential Buildings  

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

Residential Buildings Residential Buildings to someone by E-mail Share Building Technologies Office: Residential Buildings on Facebook Tweet about Building Technologies Office: Residential Buildings on Twitter Bookmark Building Technologies Office: Residential Buildings on Google Bookmark Building Technologies Office: Residential Buildings on Delicious Rank Building Technologies Office: Residential Buildings on Digg Find More places to share Building Technologies Office: Residential Buildings on AddThis.com... About Take Action to Save Energy Partner With DOE Activities Technology Research, Standards, & Codes Popular Residential Links Success Stories Previous Next Warming Up to Pump Heat. Lighten Energy Loads with System Design. Cut Refrigerator Energy Use to Save Money. Tools EnergyPlus Whole Building Simulation Program

348

Automated Continuous Commissioning of Commercial Buildings  

E-Print Network (OSTI)

P. “Real Time Model-based Energy Diagnostics in Buildings. ”Proc. Building Simulation ’11, Sydney, Australia, Novemberhttp://www.eere.energy.gov/buildings/energyplus/. 7. http://

Bailey, Trevor

2013-01-01T23:59:59.000Z

349

Applications of Optimal Building Energy System Selection and...  

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

Issue Date Published 022013 Keywords batteries, building systems scheduling, microgrids, mixed integer linear programming, optimisation, pv, solar thermal Abstract Berkeley...

350

Real-Time Forcast Model Analysis of Daily Average Building Load for a Thermal Storage System Control  

E-Print Network (OSTI)

Thermal storage systems were originally designed to shift the on-peak cooling production to off-peak cooling production to reduce the on-peak demand. Based on the current electricity charging structure, the reduction of both on-peak and off-peak demands is becoming an exceedingly important issue. Reduction of both on-peak and off-peak demands can also extend the life span and defer or eliminate the replacement of power transformers due to potential shortage of building power capacity with anticipated equipment load increases. The next day daily average electricity demand is a critical set point to operate chillers and associated pumps at the appropriate time. For this paper, a mathematic analysis was conducted for annual daily average cooling of a building and three real-time building load forecasting models were developed. They are first-order autogressive model, random walk model and linear regression model. Finally, the comparison of results show the random walk model provides the best forecast.

Song, L.; Joo, I. S.; Guwana, S.

2009-11-01T23:59:59.000Z

351

Building an advanced climate model: Program plan for the CHAMMP (Computer Hardware, Advanced Mathematics, and Model Physics) Climate Modeling Program  

SciTech Connect

The issue of global warming and related climatic changes from increasing concentrations of greenhouse gases in the atmosphere has received prominent attention during the past few years. The Computer Hardware, Advanced Mathematics, and Model Physics (CHAMMP) Climate Modeling Program is designed to contribute directly to this rapid improvement. The goal of the CHAMMP Climate Modeling Program is to develop, verify, and apply a new generation of climate models within a coordinated framework that incorporates the best available scientific and numerical approaches to represent physical, biogeochemical, and ecological processes, that fully utilizes the hardware and software capabilities of new computer architectures, that probes the limits of climate predictability, and finally that can be used to address the challenging problem of understanding the greenhouse climate issue through the ability of the models to simulate time-dependent climatic changes over extended times and with regional resolution.

1990-12-01T23:59:59.000Z

352

An improved procedure for developing a calibrated hourly simulation model of an electrically heated and cooled commercial building  

E-Print Network (OSTI)

With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly utility data has been utilized for many years. Recently, efforts have reported calibrated models at the hourly level. Most of the previous methods have relied on very simple comparisons including bar charts, monthly percent difference time-series graphs, and x-y scatter plots. A few advanced methods have been proposed as well which include carpet plots and comparative 3-D time-series plots. Unfortunately, at hourly levels of calibration, many of the traditional graphical calibration techniques become overwhelmed with data and suffer from data overlap. In order to improve upon previously established techniques, this thesis presents new calibration methods including temperature binned box-whisker-mean analysis to improve x-y scatter plots, 24-hour weather-daytype box-whisker-mean graphs to show hourly temperature-dependent energy use profiles, and 52-week box-whisker-mean plots to display long-term trends. In addition to the graphical calibration techniques, other methods are also used including indoor temperature calibration to improve thermostat schedules and architectural rendering as a means of verifying the building envelope dimensions and shading placement. Several statistical methods are also reviewed for their appropriateness including percent difference, mean bias error (MBE), and the coefficient of variation of the root mean squared error. Results are presented using a case study building located in Washington, D.C. In the case study building, nine months of hourly whole-building electricity data and site-specific weather data were measured and used with the DOE-2. 1D building simulation program to test the new techniques. Use of the new calibration procedures were able to produce a MBE of-0.7% and a CV(RMSE) of 23. 1 % which compare favorably with the most accurate hourly neural network models.

Bou-Saada, Tarek Edmond

1994-01-01T23:59:59.000Z

353

DOE - Better Building  

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

U.S. Department of Energy | Energy Efficiency & Renewable Energy logo U.S. Department of Energy | Energy Efficiency & Renewable Energy logo EERE Home | Programs & Offices | Consumer Information Better Buildings Logo Better Buildings Update July 2013 Inside this edition: Highlights from the 2013 Efficiency Forum Recap: Better Buildings Summit for State & Local Communities Launching the Better Buildings Webinar Series Better Buildings Challenge Implementation Models and Showcase Projects Updated Better Buildings Websites New Members Highlights from the 2013 Efficiency Forum More than 170 people attended the second annual Better Buildings Efficiency Forum for commercial and higher education Partners in May at the National Renewable Energy Laboratory (NREL) in Golden, Colorado-the nation's largest net-zero energy office building. DOE thanks all Better Buildings Alliance Members and Better Buildings Challenge Partners that participated in the Efficiency Forum.

354

A conceptual framework to energy estimation in buildings using agent based modeling  

Science Conference Proceedings (OSTI)

Actual energy consumption in buildings is typically different from predictions during the design phase. While differences in occupant energy usage characteristics play an important role in this variation, actual energy estimation software do not account ...

Elie Azar; Carol Menassa

2010-12-01T23:59:59.000Z

355

Methodology for the evaluation of natural ventilation in buildings using a reduced-scale air model  

E-Print Network (OSTI)

Commercial office buildings predominantly are designed to be ventilated and cooled using mechanical systems. In temperate climates, passive ventilation and cooling techniques can be utilized to reduce energy consumption ...

Walker, Christine E. (Christine Elaine)

2006-01-01T23:59:59.000Z

356

Development and evaluation of a building energy model integrated in the TEB scheme  

E-Print Network (OSTI)

The use of air-conditioning systems is expected to increase as a consequence of global-scale and urban-scale climate warming. In order to represent future scenarios of urban climate and building energy consumption, the ...

Bueno Unzeta, Bruno

357

Estimating Demand Response Load Impacts: Evaluation of BaselineLoad Models for Non-Residential Buildings in California  

SciTech Connect

Both Federal and California state policymakers areincreasingly interested in developing more standardized and consistentapproaches to estimate and verify the load impacts of demand responseprograms and dynamic pricing tariffs. This study describes a statisticalanalysis of the performance of different models used to calculate thebaseline electric load for commercial buildings participating in ademand-response (DR) program, with emphasis onthe importance of weathereffects. During a DR event, a variety of adjustments may be made tobuilding operation, with the goal of reducing the building peak electricload. In order to determine the actual peak load reduction, an estimateof what the load would have been on the day of the event without any DRactions is needed. This baseline load profile (BLP) is key to accuratelyassessing the load impacts from event-based DR programs and may alsoimpact payment settlements for certain types of DR programs. We testedseven baseline models on a sample of 33 buildings located in California.These models can be loosely categorized into two groups: (1) averagingmethods, which use some linear combination of hourly load values fromprevious days to predict the load on the event, and (2) explicit weathermodels, which use a formula based on local hourly temperature to predictthe load. The models were tested both with and without morningadjustments, which use data from the day of the event to adjust theestimated BLP up or down.Key findings from this study are: - The accuracyof the BLP model currently used by California utilities to estimate loadreductions in several DR programs (i.e., hourly usage in highest 3 out of10 previous days) could be improved substantially if a morning adjustmentfactor were applied for weather-sensitive commercial and institutionalbuildings. - Applying a morning adjustment factor significantly reducesthe bias and improves the accuracy of all BLP models examined in oursample of buildings. - For buildings with low load variability, all BLPmodels perform reasonably well in accuracy. - For customer accounts withhighly variable loads, we found that no BLP model produced satisfactoryresults, although averaging methods perform best in accuracy (but notbias). These types of customers are difficult to characterize withstandard BLP models that rely on historic loads and weather data.Implications of these results for DR program administrators andpolicymakersare: - Most DR programs apply similar DR BLP methods tocommercial and industrial sector customers. The results of our study whencombined with other recent studies (Quantum 2004 and 2006, Buege et al.,2006) suggests that DR program administrators should have flexibility andmultiple options for suggesting the most appropriate BLP method forspecific types of customers.

Coughlin, Katie; Piette, Mary Ann; Goldman, Charles; Kiliccote,Sila

2008-01-01T23:59:59.000Z

358

Categorical Exclusion (CX) Determinations By Date | Department of Energy  

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

19, 2009 19, 2009 CX-000316: Categorical Exclusion Determination Massachusetts Revision 1 - High Performance Buildings Program CX(s) Applied: B1.15, B1.22, B1.23, B1.31, B2.1, B2.3, B2.5, A1, A9, A11, B1.3, B1.4, B1.5, B1.7, B5.1 Date: 11/19/2009 Location(s): Massachusetts Office(s): Energy Efficiency and Renewable Energy, National Energy Technology Laboratory November 19, 2009 CX-000472: Categorical Exclusion Determination Modifications to the Maintenance and Storage Facility 400T Area CX(s) Applied: B3.6 Date: 11/19/2009 Location(s): Benton County, Washington Office(s): Environmental Management, Office of River Protection-Richland Office November 19, 2009 CX-000436: Categorical Exclusion Determination Monitoring and Numerical Modeling of Shallow Carbon Dioxide Injection

359

Building Technologies Office: News  

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

News News Keep Up To Date Read the Better Buildings Network View newsletter. The Network View is an e-newsletter that provides information on the newly launched Better Buildings Residential Network. The Residential Network connects energy efficiency programs and partners to share best practices and learn from one another to build upon the many successes of the Better Buildings Neighborhood Program. Read the latest issue. Through the Better Buildings Neighborhood Program, communities across the country are improving neighborhoods, creating jobs, and increasing access to energy savings in homes and businesses. Following are some of the news-making innovations and results that Better Buildings Neighborhood Program partners are achieving. Latest DOE News and Blog Posts

360

Nanogrids, Power Distribution, and Building Networks  

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

Nanogrids, Power Distribution, and Building Networks Speaker(s): Bruce Nordman Date: February 24, 2011 - 12:00pm Location: 90-3122 Electricity consumption and information...

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

Green Buildings and the Green Development Process  

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

Office EETD Safety Program Development Contact Us Department Contacts Media Contacts Green Buildings and the Green Development Process Speaker(s): David Gottfried Date:...

362

City of Jacksonville - Sustainable Public Buildings (Florida...  

Open Energy Info (EERE)

http:www.coj.netdepartmentsneighborhoodsenvironmental-qualityoffice-of-sustainability-initiativessustainable-building-program.aspx Date added to DSIRE 2010-11-05 Last...

363

AEDG Implementation Recommendations: Cool Roofs | Building Energy...  

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

section of the guide and focus on cool roofs, which are recommended for metal building roofs and roofs with insulation entirely above deck. Publication Date: Wednesday,...

364

Building Technologies Office: Commercial Building Energy Asset...  

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

TECHNOLOGIES RESIDENTIAL BUILDINGS COMMERCIAL BUILDINGS APPLIANCE & EQUIPMENT STANDARDS BUILDING ENERGY CODES EERE Building Technologies Office Commercial Buildings...

365

Building Energy Software Tools Directory: Solar Tool  

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

Solar Tool Solar Tool Solar Tool logo. Makes the process of accurately sizing and positioning overhangs, shading devices and louvers easy. This software is a must for architects, planners and building services engineers, anyone who needs to quickly determine the extent of solar penetration into buildings, overshadowing or the most appropriate means of shading a window. The program uses a flexible, parametric model on which can be placed any number of horizontal, vertical and detached shades. You can select any date, time or location, seeing immediately the resulting shadows whilst interactively manipulating the geometry to show immediately the effects. You can also choose to automatically optimise the size and shape of any shading device over any range of dates and times you require. Screen Shots

366

SAVE THE DATE! UC Energy Week 2011  

E-Print Network (OSTI)

SAVE THE DATE! UC Energy Week 2011 April 4 - 7, 2011 Hosted by the University of California, Davis Building on the success of the 2010 UC Energy Week, the California Renewable Energy Collaborative (CREC) is primed to host UC Energy Week 2011. The event consists of a global energy symposium, three forums

Islam, M. Saif

367

Methodology for Analyzing the Technical Potential for Energy Performance in the U.S. Commercial Buildings Sector with Detailed Energy Modeling: Preprint  

SciTech Connect

This paper summarizes a methodology for developing quantitative answers to the question, ''How low can energy use go within the commercial buildings sector''? The basic process is to take each building in the 1999 CBECS public use data files and create a baseline building energy model for it as if it were being built new in 2005 with code-minimum energy performance.

Griffith, B.; Crawley, D.

2006-11-01T23:59:59.000Z

368

Emerging Energy-Efficient Technologies in Buildings Technology Characterizations for Energy Modeling  

Science Conference Proceedings (OSTI)

The energy use in America's commercial and residential building sectors is large and growing. Over 38 quadrillion Btus (Quads) of primary energy were consumed in 2002, representing 39% of total U.S. energy consumption. While the energy use in buildings is expected to grow to 52 Quads by 2025, a large number of energy-related technologies exist that could curtail this increase. In recent years, improvements in such items as high efficiency refrigerators, compact fluorescent lights, high-SEER air conditioners, and improved building shells have all contributed to reducing energy use. Hundreds of other technology improvements have and will continue to improve the energy use in buildings. While many technologies are well understood and are gradually penetrating the market, more advanced technologies will be introduced in the future. The pace and extent of these advances can be improved through state and federal R&D. This report focuses on the long-term potential for energy-efficiency improvement in buildings. Five promising technologies have been selected for description to give an idea of the wide range of possibilities. They address the major areas of energy use in buildings: space conditioning (33% of building use), water heating (9%), and lighting (16%). Besides describing energy-using technologies (solid-state lighting and geothermal heat pumps), the report also discusses energy-saving building shell improvements (smart roofs) and the integration of multiple energy service technologies (CHP packaged systems and triple function heat pumps) to create synergistic savings. Finally, information technologies that can improve the efficiency of building operations are discussed. The report demonstrates that the United States is not running out of technologies to improve energy efficiency and economic and environmental performance, and will not run out in the future. The five technology areas alone can potentially result in total primary energy savings of between 2 and 4.2 Quads by 2025, or 3.8% to 8.1% of the total commercial and residential energy use by 2025 (52 Quads). Many other technologies will contribute to additional potential for energy-efficiency improvement, while the technical potential of these five technologies on the long term is even larger.

Hadley, SW

2004-10-11T23:59:59.000Z

369

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.

370

DOE Building Technologies Program  

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

Overview Overview September 2013 Buildings.energy.gov/BPD BuildingsPerformanceDatabase@ee.doe.gov 2 * The BPD statistically analyzes trends in the energy performance and physical & operational characteristics of real commercial and residential buildings. The Buildings Performance Database 3 Design Principles * The BPD contains actual data on existing buildings - not modeled data or anecdotal evidence. * The BPD enables statistical analysis without revealing information about individual buildings. * The BPD cleanses and validates data from many sources and translates it into a standard format. * In addition to the BPD's analysis tools, third parties will be able to create applications using the

371

Commercial Buildings  

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

Links Commercial Building Ventilation and Indoor Environmental Quality Batteries and Fuel Cells Buildings Energy Efficiency Electricity Grid Energy Analysis Energy...

372

Building Green in Greensburg: City Hall Building  

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

City Hall Building City Hall Building Destroyed in the tornado, City Hall was completed in October 2009 and built to achieve the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED ® ) Platinum designation. The 4,700-square-foot building serves as a symbol of Greensburg's vitality and leadership in becoming a sustainable community where social, environmental, and economic concerns are held in balance. It houses the City's administrative offices and council chambers, and serves as a gathering place for town meetings and municipal court sessions. According to energy analysis modeling results, the new City Hall building is 38% more energy efficient than an ASHRAE-compliant building of the same size and shape. ENERGY EFFICIENCY FEATURES * A well-insulated building envelope with an

373

Building Technologies Office: Better Buildings Neighborhood Program  

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

Better Buildings Neighborhood Program logo. Better Buildings Neighborhood Program logo. The Better Buildings Neighborhood Program is helping over 40 competitively selected state and local governments develop sustainable programs to upgrade the energy efficiency of more than 100,000 buildings. These leading communities are using innovation and investment in energy efficiency to expand the building improvement industry, test program delivery business models, and create jobs. New Materials and Resources January 2014 Read the January issue of the Better Buildings Network View See the new story about Austin Energy Read the new Focus Series with Chicago's EI2 See the new webcast Read the latest DOE blog posts Get Inspired! Hear why Better Buildings partners are excited to bring the benefits of energy upgrades to their neighborhoods.

374

Nano-to-Meter-Scale Building, a Summary  

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

Nano-to-Meter-Scale Building, a Summary Nano-to-Meter-Scale Building, a Summary Speaker(s): Danijel Rebolj Date: December 18, 2009 - 12:00pm Location: 90-3122 Development of the core nanotechnologies and synthetic biology is leading to results that are extremely interesting for production of the buildings on the nano level, thus growing buildings on site from the nano into the meter range. Although areas like nanorobotics, programmable materials, and programmable cells are still considered to be speculative to some extent, their fast development encouraged us to start systematic research of new ways for modeling and construction of buildings using bio-nano-technologies. The main motivation, however, was the recognition that, if designed in a sustainable way, the new ways of nano-to-meter-scale

375

Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis  

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

Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis Pursuing Energy Efficiency From Building Simulation to Portfolio Analysis Speaker(s): Paul Mathew Date: January 4, 2002 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Stephen Wiel Dr. Mathew's presentation will describe two aspects of energy efficiency and sustainable design, viewed from the perspective of market transformation: 1. Building Simulation: case study on the use of detailed energy simulation for evaluating advanced building systems and building integrated energy systems, using DOE-2 and a CAD-integrated, heat-balance-based energy simulation tool developed by Dr. Mathew at CMU. 2. Energy Portfolio Analysis: a "curve-based" actuarial approach for modeling and valuing large portfolios of energy efficiency projects and tools that were developed at Enron to support this business strategy

376

Model-Based Methodology for Building Confidence in a Dynamic Measuring System  

E-Print Network (OSTI)

This thesis examines the special case in which a newly developed dynamic measurement system must be characterized when an accepted standard qualification procedure does not yet exist. In order to characterize this type of system, both physical experimentation and computational simulation methods will be used to build trust in this measurement system. This process of establishing credibility will be presented in the form of a proposed methodology. This proposed methodology will utilize verification and validation methods that apply within the simulation community as the foundation for this multi-faceted approach. The methodology will establish the relationships between four key elements: physical experimentation, conceptual modeling, computational simulations, and data processing. The combination of these activities will provide a comprehensive characterization study of the system. In order to illustrate the methodology, a case study was performed on a dynamic force measurement system owned by Sandia National Laboratories. This system was designed to measure the force required to pull a specimen to failure in tension at a user-input velocity. The results of the case study found that there was a significant measurement error occurring as the pull event involved large break loads and high velocities. 100 pull events were recorded using an experimental test assembly. The highest load conditions discovered a force measurement error of over 100%. Using computational simulations, this measurement error was reduced to less than 10%. These simulations were designed to account for the inertial effects that skew the piezoelectric load cells. This thesis displays the raw data and the corrected data for five different pull settings. The simulations designed using the methodology significantly reduced the error in all five pull settings. In addition to the force analysis, the simulations provide insight into the complete system performance. This includes the analysis of the maximum system velocity as well as the analysis of several proposed design changes. The findings suggest that the dynamic measurement system has a maximum velocity of 28 fps, and that this maximum velocity is unaffected by the track length or the mass of the moving carriage.

Reese, Isaac Mark

2013-05-01T23:59:59.000Z

377

Building Technologies Office: Appliances Research  

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

Appliances Research to Appliances Research to someone by E-mail Share Building Technologies Office: Appliances Research on Facebook Tweet about Building Technologies Office: Appliances Research on Twitter Bookmark Building Technologies Office: Appliances Research on Google Bookmark Building Technologies Office: Appliances Research on Delicious Rank Building Technologies Office: Appliances Research on Digg Find More places to share Building Technologies Office: Appliances Research on AddThis.com... About Take Action to Save Energy Partner with DOE Activities Appliances Research Building Envelope Research Windows, Skylights, & Doors Research Space Heating & Cooling Research Water Heating Research Lighting Research Sensors & Controls Research Energy Efficient Buildings Hub Building Energy Modeling

378

Progress on building a predictive model of indoor concentrations of outdoor PM-2.5 in homes  

Science Conference Proceedings (OSTI)

The goal of this project is to develop a physically-based, semi-empirical model that describes the concentration of indoor concentration of PM-2.5 (particle mass that is less than 2.5 microns in diameter) and its sulfate, nitrate, organic and black carbon constituents, derived from outdoor sources. We have established the methodology and experimental plan for building the model. Experimental measurements in residential style houses, in Richmond and Fresno, California, are being conducted to provide parameters for and evaluation of this model. The model will be used to improve estimates of human exposures to PM-2.5 of outdoor origin. The objectives of this study are to perform measurement and modeling tasks that produce a tested, semi-mechanistic description of chemical species-specific and residential PM-2.5 arising from the combination of outdoor PM and gas phase sources (HNO{sub 3} and NH{sub 3}), and indoor gas phase (e.g. NH{sub 3}) sources. We specifically address how indoor PM is affected by differences between indoor and outdoor temperature and relative humidity. In addition, we are interested in losses of particles within the building and as they migrate through the building shell. The resulting model will be general enough to predict probability distributions for species-specific indoor concentrations of PM-2.5 based on outdoor PM, and gas phase species concentrations, meteorological conditions, building construction characteristics, and HVAC operating conditions. Controlled intensive experiments were conducted at a suburban research house located in Clovis, California. The experiments utilized a large suite of instruments including conventional aerosol, meteorological and house characterization devices. In addition, two new instruments were developed providing high time resolution for the important particulate species of nitrate, sulfate, and carbon as well as important gaseous species including ammonia and nitric acid. Important initial observations include the result that, with rare exceptions, there is virtually no nitrate found inside the house. This nitrate appears to dissociate into ammonia and nitric acid with the nitric acid quickly depositing out. Initial model development has included work on characterizing penetration and deposition rates, the dynamic behavior of the indoor/outdoor ratio, and predicting infiltration rates. Results from the exploration of the indoor/outdoor ratio show that the traditional assumption of steady state conditions does not hold in general. Many values of the indoor/outdoor ratio exist for any single value of the infiltration rate. Successful prediction of the infiltration rate from measured driving variables is important for extending the results from the Clovis house to the larger housing stock.

Lunden, Melissa M.; Thatcher, Tracy L.; Littlejohn, David; Fischer, Marc L.; Kirchstetter, Thomas W.; Brown, Nancy J.; Hering, Susanne

2001-09-01T23:59:59.000Z

379

Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building  

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

4E 4E Comparison of Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building J.H. Dudley, D. Black, M. Apte, M.A. Piette Lawrence Berkeley National Laboratory P. Berkeley University of California, Berkeley May 2010 Presented at the 2010 ACEEE Summer Study on Energy Efficiency in Buildings, Pacific Grove, CA, August 15-20, 2010, and published in the Proceedings DISCLAIMER This document was prepared as an account of work sponsored by the United States Government. While this document is believed to contain correct information, neither the United States Government nor any agency thereof, nor The Regents of the University of California, nor any of their employees, makes any warranty, express or implied, or assumes any legal responsibility for the accuracy, completeness, or usefulness of any information,

380

Building and Fire Publications  

Science Conference Proceedings (OSTI)

... energy management system. Information Model for Building Automation Systems. Automation in Construction, Vol. 16, No. 2, 125-139, March 2007. ...

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

Comparison of the prediction accuracy of daily and monthly regression models for energy consumption in commercial buildings  

E-Print Network (OSTI)

The measured energy savings from retrofits in commercial buildings are generally determined as the difference between the energy consumption predicted using a baseline model and the measured energy consumption during the post retrofit period. Most baseline models are developed by regressing the daily energy consumption versus the daily average temperature (daily models) or by regressing the monthly energy consumption versus the monthly average temperature (monthly models). Since the post-retrofit weather is generally different from the weather used for model development, the prediction error of the baseline model may be different from the fitting error. Daily and monthly baseline models were developed for a midsize commercial building with (i) dual-duct CAV and VAV systems, (ii) office and university occupancy schedules, and (iii) different operating practices using the weather of a mild weather year. The prediction errors were identified as the difference between the energy use predicted by the regression models and the values simulated by a calibrated simulation program when both models use weather from a year very different from the weather year used to develop the regression model. The major results are summarized below: 1. When the AHUs operate 24 hours per day, annual energy prediction errors of daily regression models were found to be less than 1.4%. The errors of monthly regression models were found to be in the same range as the error of the daily models. 2. When the AHUs were shut down during unoccupied periods, annual prediction errors for both daily and monthly regression models were as high as 15%. However, the prediction error of daily regression models can be decreased to a range of 2% to 3% if the daily average energy consumption is regressed versus the average temperature during the operation period. Based on these findings, we suggest use of daily or monthly regression models when the AHUs are operated 24 hours per day. When shut-down is performed during unoccupied hours, daily energy consumption should be regressed versus the average ambient temperature during operating hours to develop the baseline model.

Wang, Jinrong

1996-01-01T23:59:59.000Z

382

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

383

Building Technologies Office: Building America: Bringing Building  

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

America: Bringing Building Innovations to Market America: Bringing Building Innovations to Market Building America logo The U.S. Department of Energy's (DOE) Building America program has been a source of innovations in residential building energy performance, durability, quality, affordability, and comfort for more than 15 years. This world-class research program partners with industry (including many of the top U.S. home builders) to bring cutting-edge innovations and resources to market. For example, the Solution Center provides expert building science information for building professionals looking to gain a competitive advantage by delivering high performance homes. At Building America meetings, researchers and industry partners can gather to generate new ideas for improving energy efficiency of homes. And, Building America research teams and DOE national laboratories offer the building industry specialized expertise and new insights from the latest research projects.

384

AUTHORS DATE PP  

E-Print Network (OSTI)

The aerospace industry is showing a growing interest to apply acoustic treatment in the exhaust ducts of turbofan engines to attenuate combustion and turbine noise. The design, optimisation and testing of hot stream liners require improved theoretical models and facilities to validate and evaluate the acoustic performances of these liners under realistic engine operating conditions. To extend the capabilities for liner testing, NLR has modified an existing burner rig. The main objective was to build a facility for hot stream liner testing up to a flow Mach number of 0.4 and a maximum temperature of 500 ºC, which has been met. Both insertion loss and in-situ acoustic impedance measurements can be performed at maximum sound pressure levels of about 145 dB. An overview is given of the design and commissioning of the new facility, the instrumentation and the measurement techniques. Furthermore a selection of results are presented on measured insertion losses and acoustic impedances. Nationaal Lucht- en Ruimtevaartlaboratorium National Aerospace Laboratory NLR NLR-TP-2003-202

R. J. Nijboer; S. L. Sarin

2003-01-01T23:59:59.000Z

385

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

E-Print Network (OSTI)

of implementation. References Architecture 2030 (2007)6.7 GtCO 2 eq/yr globally by 2030 (IPCC 2007). As advocates,commercial buildings by 2030 in the stated goals of the

Coffey, Brian

2010-01-01T23:59:59.000Z

386

Extraction and integration of window in a 3d building model from ground view images  

E-Print Network (OSTI)

Details of the building facades are needed for high quality fly-through visualization or simulation applications. Windows form a key structure in the detailed facade reconstruction. In this paper, given calibrated facade texture (i.e. the rectified texture), we extract and reconstruct the 3D window structure of the building. We automatically extract windows (rectangles in the rectified image) using a profile projection method, which exploits the regularity of the vertical and horizontal window placement. We classify the extracted windows using 2D dimensions and image texture information. The depth of the extracted windows is automatically computed using window classification information and image line features. A single ground view image is enough to compute 3D depths of the facade windows in our approach. 1

Sung Chun Lee; Ram Nevatia

2004-01-01T23:59:59.000Z

387

Generative Design Systems Applied to Low-Energy Buildings  

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

Generative Design Systems Applied to Low-Energy Buildings Generative Design Systems Applied to Low-Energy Buildings Speaker(s): Maria Luisa de Oliveira Gama Caldas Date: March 15, 2012 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Paul Mathew Generative Design Systems (GDS) represent a step beyond parametric models, integrating design goals, building simulations and shape generation. In this seminar, present and future research projects on the application of different GDS to low-energy buildings are discussed. The software GENE_ARCH integrates energy simulations with multicriteria search methods such as pareto genetic algorithms, to locate acceptable alternatives that move the current design towards performance goals set by the user. DIVA, a system that integrates parametric geometrical modeling with Radiance, Daysim and

388

TO: FILE DATE------  

Office of Legacy Management (LM)

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389

Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple-Linear Inverse Building Energy Analysis Models, ASHRAE Research Project 1050-RP, Final Report  

E-Print Network (OSTI)

This report summarizes the results of ASHRAE Research Project 1050: Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple Linear Inverse Building Energy Analysis Models. The Inverse Modeling Toolkit (WIT) is a FORTRAN 90 application for developing regression models of building energy use. IMT can identify single and multi-variable least-squares regression models. It can also identify variable-base degree-day and single and multi-variable change-point models, which have been shown to be especially useful for modeling building energy use. This report includes background information about IMT and the models, instructions for its installation and operation, and the results of accuracy and robustness testing.

Kissock, J. K.; Haberl, J. S.; Claridge, D. E.

2002-11-01T23:59:59.000Z

390

New Services for Building Maintenance Enabled by Building Automation  

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

New Services for Building Maintenance Enabled by Building Automation New Services for Building Maintenance Enabled by Building Automation Systems Speaker(s): Heikki Ihasalo Date: May 17, 2007 - 12:00pm Location: 90-3122 Seminar Host/Point of Contact: Peng Xu Today's building automation systems enable building systems integration and access to information from a variety of sources, e.g. fire alarm systems, access control, security systems, lighting and control systems. With the help of Internet technology and XML (Extensible Markup Language) building automation systems can also connect to other enterprise\ applications such as facility management software, maintenance management systems, ERP or financial systems. New applications are also emerging to manage energy consumption in buildings, for example demand response and fault detection

391

Impact of Nighttime Shut Down on the Prediction Accuracy of Monthly Regression Models for Energy Consumption in Commercial Buildings  

E-Print Network (OSTI)

Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available than to install hourly metering equipment. However, little is known about the impact of nighttime shut off on the accuracy of savings determined from monthly data. This paper reports a preliminary investigation of this question by comparing the heating and cooling energy use predicted by regression models based on monthly data against the predictions of calibrated hourly simulation models when applied to a medium-sized university building in Texas with (i) DDCAV system operating 24 hours per day, (ii) DDCAV system with nighttime shut down, (iii) DDVAV system operating 24 hours per day, and (iv) DDVAV system with nighttime shut down. The results of the four cases studied indicate : 1) when the AHUs are operated 24 hours/day, the annual prediction error of the cooling regression models is less than 0.5% of the annual cooling energy consumption; however, 2) when the AHUs are operated with nighttime shut down, the annual prediction error of the cooling models becomes as high as 6% of annual energy consumption. It should be noted that the cases considered here include only single end-uses of energy and have not investigated energy-use data which includes multiple end-uses. Modified regression models are therefore recommended when AHUs are not operated 24 hours per day and the temperature pattern is significantly different between pre and post retrofit years.

Wang, J.; Claridge, D. E.

1998-01-01T23:59:59.000Z

392

Research Article Building Thermal, Lighting,  

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

Article Building Thermal, Lighting, and Acoustics Modeling E-mail: yanda@tsinghua.edu.cn A detailed loads comparison of three building energy modeling programs: EnergyPlus, DeST...

393

A solar thermal cooling and heating system for a building: Experimental and model based performance analysis and design  

Science Conference Proceedings (OSTI)

A solar thermal cooling and heating system at Carnegie Mellon University was studied through its design, installation, modeling, and evaluation to deal with the question of how solar energy might most effectively be used in supplying energy for the operation of a building. This solar cooling and heating system incorporates 52 m{sup 2} of linear parabolic trough solar collectors; a 16 kW double effect, water-lithium bromide (LiBr) absorption chiller, and a heat recovery heat exchanger with their circulation pumps and control valves. It generates chilled and heated water, dependent on the season, for space cooling and heating. This system is the smallest high temperature solar cooling system in the world. Till now, only this system of the kind has been successfully operated for more than one year. Performance of the system has been tested and the measured data were used to verify system performance models developed in the TRaNsient SYstem Simulation program (TRNSYS). On the basis of the installed solar system, base case performance models were programmed; and then they were modified and extended to investigate measures for improving system performance. The measures included changes in the area and orientation of the solar collectors, the inclusion of thermal storage in the system, changes in the pipe diameter and length, and various system operational control strategies. It was found that this solar thermal system could potentially supply 39% of cooling and 20% of heating energy for this building space in Pittsburgh, PA, if it included a properly sized storage tank and short, low diameter connecting pipes. Guidelines for the design and operation of an efficient and effective solar cooling and heating system for a given building space have been provided. (author)

Qu, Ming [School of Civil Engineering, Purdue University, 550 Stadium Mall Drive, West Lafayette, IN 47907-2051 (United States); Yin, Hongxi [School of Engineering Education, Purdue University, 701 W. Stadium Ave., West Lafayette, IN 47907-2061 (United States); Archer, David H. [Department of Mechanical Engineering, Carnegie Mellon University, 5000 Forbes Ave., Pittsburgh, PA 15213 (United States)

2010-02-15T23:59:59.000Z

394

Property:Building/YearConstruction | Open Energy Information  

Open Energy Info (EERE)

YearConstruction YearConstruction Jump to: navigation, search This is a property of type Date. Year of construction Pages using the property "Building/YearConstruction" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 2003 + Sweden Building 05K0002 + 1999 + Sweden Building 05K0003 + 1960 + Sweden Building 05K0004 + 1914 + Sweden Building 05K0005 + 1940 + Sweden Building 05K0006 + 1995 + Sweden Building 05K0007 + 1900 + Sweden Building 05K0008 + 1997 + Sweden Building 05K0009 + 1980 + Sweden Building 05K0010 + 1777 + Sweden Building 05K0011 + 1995 + Sweden Building 05K0012 + 2000 + Sweden Building 05K0013 + 1850 + Sweden Building 05K0014 + 1650 + Sweden Building 05K0015 + 1878 + Sweden Building 05K0016 + 1700 + Sweden Building 05K0017 + 1987 +

395

Source-Term and building-Wake Consequence Modeling for the Godiva IV Reactor at Los Alamos National Laboratory  

Science Conference Proceedings (OSTI)

The objectives of this work were to evaluate the consequences of a postulated accident to onsite security personnel stationed near the facility during operations of the Godiva IV critical assembly and to identify controls needed to protect these personnel in case of an extreme criticality excursion equivalent to the design-basis accident (DBA). This paper presents the methodology and results of the source-term calculations, building ventilation rates, air concentrations, and consequence calculations that were performed using a multidisciplinary approach with several phenomenology models. Identification of controls needed to mitigate the consequences to near-field receptors is discussed.

Letellier, B.C.; McClure, P.; Restrepo, L.

1999-06-13T23:59:59.000Z

396

Model Code for the Control of Residential HVAC Distribution System Leakage and HVAC-Induced Building Leakage  

E-Print Network (OSTI)

Modifications to local and state codes are seen as an appropriate strategy for the prevention of residential air distribution system leakage and its impacts. A model code element has been developed to assist this strategy. Recent field studies of Florida residences by Cummings, Tooley and Moyer have revealed a mean leakage of 11 percent for the air distribution systems of central, fan-force heating and air conditioning systems. Such leakage may cause an estimated 20 percent increase in energy consumption for air conditioning, as well as a 50 percent increase in peak cooling load and an 80 percent increase in peak heating load. In addition, building air leakage may be expected to be several times greater when duct leakage is present or when avenues of air egress from closeable rooms are absent. The model duct construction element presented here contains all of the standards, definitions and code language needed to replace the current duct construction element of the local or state code. The content of this paper was used as a principal source for language adopted for the 1991 Florida Energy Efficiency Code For Building Construction. Addressed are the most appropriate standards required for the closure and sealing of metal duct, rigid fibrous glass duct, and nonmetallic flexible duct. Also addressed are (1) detailed requirements for the sealing of mechanical closets when they function as plenum chambers, (2) detailed requirements for the sealing of enclosed support platforms or air handlers and furnaces when they function as return duct, (3) detailed requirements for the sealing of uninhabitable cavities of the building structure, when they function as duct, and (4) detailed requirements for the egress of air from enclosed rooms which receive supply air. Where necessary, commentary is provided to explain the options available for implementing the model code provision as well as its ramifications. All provisions of this model code are compatible with the requirements, standards and guidelines contained in related documents published by the following organizations: the Southern Building Code Congress International, Inc., the Sheet Metal and Air Conditioning Contractors National Association, the American Society of Heating, Refrigerating and Air conditioning Engineers, Underwriters Laboratories, Inc., the Air Conditioning Contractors Of America, the Thermal Insulation Manufacturers Association, the National Fire Protection Association, and the Gypsum Association.

Wemhoff, P.

1990-01-01T23:59:59.000Z

397

Building Energy Conservation in China  

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

Building Energy Conservation in China Building Energy Conservation in China Speaker(s): Zhang Fulin Date: January 29, 2013 - 11:15am Location: 90-3122 Seminar Host/Point of Contact: Haley Gilbert Mr. Zhang Fulin is a Senior Engineer and Director of the Division of Energy Efficiency in Buildings, Department of Energy Efficiency in Buildings and Science &Technology of the Ministry of Housing and Urban-Rural Development (MOHURD) in China. He is tasked with developing China building energy conservation policies and regulations and is responsible for the approval of major China building energy efficiency projects. Mr. Zhang has been working in the field of building energy efficiency for more than two decades. He will speak about current laws and regulations governing building energy efficiency practice in China,

398

Time/Date  

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

J. J. Rhyne Los Alamos National Laboratory (23) See "Experiments Schedule" ReceptionBanquet Argonne Guest House Building 460 6:00 p.m. - Reception 6:30 p.m. - Dinner 6:00 School...

399

Building Technologies Office: Commercial Building Activities  

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

on Twitter Bookmark Building Technologies Office: Commercial Building Activities on Google Bookmark Building Technologies Office: Commercial Building Activities on Delicious...

400

Building Technologies Office: Buildings Performance Database  

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

on Twitter Bookmark Building Technologies Office: Buildings Performance Database on Google Bookmark Building Technologies Office: Buildings Performance Database on Delicious...

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

Embedded Commissioning for Building Design  

E-Print Network (OSTI)

Building Commissioning has a broad scope that extends to all phases of building delivery. We view commissioning as a building delivery embedded process that persistently verifies and validates design intent throughout the building lifecycle process. In the building lifecycle approach, buildings are considered to have cradle-to-grave life spans. They are modeled through a variety of different developmental phases. In this research project, we intend to build the necessary theory and tools to support the embedded commissioning process as a co-function of building lifecycle.

Akin, O.; Turkaslan-Bulbul, M. T.; Gursel, I.; Garrett, J. H.; Akinci, B.; Wang, H.

2004-01-01T23:59:59.000Z

402

Publications | Building Energy Codes Program  

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

Center » [all items] Center » [all items] 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 Publications To receive updates about BECP publications subscribe to the BECP Mailing List. Additional resources are also available from the Building America Solution Center. 189.1 Progress Indicator Report Energy Use Comparison between 189.1-2009 and 90.1-2010 Document type: Presentation Publication Date: June 2011 Focus: Code Development, Green and Advanced Codes Presentation given at the ASHRAE Annual Meeting, ASHRAE Standard 189.1 Committee; June 29, 2011; Montreal Canada.Main topics included: Progress Indicator and Prototype Models developed by Pacific

403

Around Buildings  

E-Print Network (OSTI)

Around Buildings W h y startw i t h buildings and w o r k o u t wa r d ? For one, buildings are difficult t o a v o i d these

Treib, Marc

1987-01-01T23:59:59.000Z

404

Integrated Modeling of Building Energy Requirements IncorporatingSolar Assisted Cooling  

DOE Green Energy (OSTI)

This paper expands on prior Berkeley Lab work on integrated simulation of building energy systems by the addition of active solar thermal collecting devices, technology options not previously considered (Siddiqui et al 2005). Collectors can be used as an alternative or additional source of hot water to heat recovery from reciprocating engines or microturbines. An example study is presented that evaluates the operation of solar assisted cooling at a large mail sorting facility in southern California with negligible heat loads and year-round cooling loads. Under current conditions solar thermal energy collection proves an unattractive option, but is a viable carbon emission control strategy.

Firestone, Ryan; Marnay, Chris; Wang, Juan

2005-08-10T23:59:59.000Z

405

Rule-based Mamdani-type fuzzy modelling of thermal performance of multi-layer precast concrete panels used in residential buildings in Turkey  

Science Conference Proceedings (OSTI)

Heat insulation applied on outer wall surfaces of buildings for the purpose of conserving energy, can be analyzed experimentally, mathematically and by using simulation modelling. In this study, simulation modelling of insulation layer (d"2), for residential ... Keywords: Insulation, Prefabricated panel, Rule-based Mamdani-type fuzzy modelling, Thermal analysis

M. Tosun; K. Dincer; S. Baskaya

2011-05-01T23:59:59.000Z

406

BUILDING INSPECTION Building, Infrastructure, Transportation  

E-Print Network (OSTI)

BUILDING INSPECTION Building, Infrastructure, Transportation City of Redwood City 1017 Middlefield Sacramento, Ca 95814-5514 Re: Green Building Ordinance and the Building Energy Efficiency Standards Per of Redwood City enforce the current Title 24 Building Energy Efficiency Standards as part

407

Education Buildings  

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

Education Education Characteristics by Activity... Education Education buildings are buildings used for academic or technical classroom instruction, such as elementary, middle, or high schools, and classroom buildings on college or university campuses. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Education Buildings... Seventy percent of education buildings were part of a multibuilding campus. Education buildings in the South and West were smaller, on average, than those in the Northeast and Midwest. Almost two-thirds of education buildings were government owned, and of these, over three-fourths were owned by a local government. Tables: Buildings and Size Data by Basic Characteristics Establishment, Employment, and Age Data by Characteristics

408

Commercial Buildings  

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

Exterior glass windows of office tower Commercial Buildings Commercial building systems research explores different ways to integrate the efforts of research in windows, lighting,...

409

Lodging Buildings  

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

a nursing home, assisted living center, or other residential care building a half-way house some other type of lodging Lodging Buildings by Subcategory Figure showing lodging...

410

EERE: Buildings  

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

Commercial Building Initiative works with commercial builders and owners to reduce energy use and optimize building performance, comfort, and savings. Solid-State Lighting...

411

Table 1b. U.S. Commercial Buildings Weather-Adjusted Site Energy ...  

U.S. Energy Information Administration (EIA)

U.S. Commercial Buildings Weather-Adjusted Site Energy. Released Date: December 2004 ... 3 Laboratory buildings are included in the "Other" category.

412

Modeling of Heat Transfer in Rooms in the Modelica Buildings Library  

E-Print Network (OSTI)

infrared radia- tion and solar radiation. Figure 1 shows theIn the window model, a solar radiation balance is solved forexterior shade. The model solar radiation balance implements

Wetter, Michael

2013-01-01T23:59:59.000Z

413

Modeling of Heat Transfer in Rooms in the Modelica Buildings Library  

E-Print Network (OSTI)

for convective and radiative heat transfer yielded a twofoldModeling of Heat Transfer in Rooms in the Modelica “of California. MODELING OF HEAT TRANSFER IN ROOMS IN THE

Wetter, Michael

2013-01-01T23:59:59.000Z

414

Property:Building/YearConstruction2 | Open Energy Information  

Open Energy Info (EERE)

YearConstruction2 YearConstruction2 Jump to: navigation, search This is a property of type Date. Year of construction 2 (Year of construction) Pages using the property "Building/YearConstruction2" Showing 25 pages using this property. (previous 25) (next 25) S Sweden Building 05K0001 + 1921 + Sweden Building 05K0002 + 1999 + Sweden Building 05K0003 + 1960 + Sweden Building 05K0004 + 1914 + Sweden Building 05K0005 + 1940 + Sweden Building 05K0006 + 1995 + Sweden Building 05K0007 + 1900 + Sweden Building 05K0008 + 1997 + Sweden Building 05K0009 + 1980 + Sweden Building 05K0010 + 1777 + Sweden Building 05K0011 + 1995 + Sweden Building 05K0012 + 2000 + Sweden Building 05K0013 + 1850 + Sweden Building 05K0014 + 1650 + Sweden Building 05K0015 + 1878 + Sweden Building 05K0016 + 1700 +

415

DATE: TO: FROM:  

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

d d POLICY FLASH 2010-64 DATE: TO: FROM: July 7,201 0 Procurement Directors Office of Procurement and Assistance Policy, MA-6 I Office of Procurement and Assistance Management SUBJECT: Federal Acquisition Circular 2005-42 SUMMARY: Attached for your information is a summary of Federal Acquisition Circular (FAC) 2005-42 which makes changes to the Federal Acquisition Regulation (FAR). The FAC has eleven rules (seven final and four interim) and one technical amendment. Attached is a short overview of the rules to include its effective date and applicability date. To view FAC 2005-42 go to the Federal Register Browse web link at http://www.~~oaccess.~ov/fr/browse.html and search for the Federal Register Volume 75, Number 115 for Wednesday, June 16,2010.

416

MEMORANDUfl J: FILE DATE  

Office of Legacy Management (LM)

J: FILE DATE J: FILE DATE // //r /so -----------w------m FROM: 9. 34oyc -w--------v----- SUBJECT: D3 Bo;s CL&;C J mL-;+J; - Rcc cap 049 /'A :j$: &336;s L-.fh~ w-f L-1 ALE"nirTE __ ------------- --- ---_------------------ CITY: &u+M- - &. -w---v------ ---B-------w STATE: 0 h' -a---- OWNER(S) --pi::;- l>cl, b af.5 CA.-*>J CD Current: Gr;W i- ~U~&;P~ -------------,,' ,-,,,,-, Owner contacted 0 yes jg no; -------------------------- if yes, date contacted ------m------ TYPE OF OPERATION --w--w----------- & Research & Development a Facility Type 0 Production scale testing Cl Pilot Scale 0 Bench Scale Process 0 Theoretical Studies w Sample & Analysis 0 Manufacturing 0 University 0 Research Organization 0 Government Sponsored Facility

417

History of Radiocarbon Dating  

DOE R&D Accomplishments (OSTI)

The development is traced of radiocarbon dating from its birth in curiosity regarding the effects of cosmic radiation on Earth. Discussed in historical perspective are: the significance of the initial measurements in determining the course of developments; the advent of the low-level counting technique; attempts to avoid low-level counting by the use of isotopic enrichment; the gradual appearance of the environmental effect due to the combustion of fossil fuel (Suess effect); recognition of the atmosphere ocean barrier for carbon dioxide exchange; detailed understanding of the mixing mechanism from the study of fallout radiocarbon; determination of the new half-life; indexing and the assimilation problem for the massive accumulation of dates; and the proliferation of measurement techniques and the impact of archaeological insight on the validity of radiocarbon dates. (author)

Libby, W. F.

1967-08-15T23:59:59.000Z

418

Building Technologies Office: Residential Buildings  

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

building sector by at least 50%. Photo of people walking around a new home. Visitors Tour Solar Decathlon Homes Featuring the Latest in Energy Efficient Building Technology...

419

Performance of High-Performance Glazing in IECC Compliant Building Simulation Model  

E-Print Network (OSTI)

Current specifications for glazing in the 2000 IECC code adopted by Texas imply the use of low-E glazing. However, the trends in the development of highperformance glazing technology indicate that windows have the potential to provide net positive energy benefits making it inevitable for future versions of the IECC to incorporate high-performance glazing. This study examines the performance of a number of such glazing options when incorporated in the IECC compliant residential building. The results show that in some cases the resultant energy consumption obtained from installing high-performance windows was lower than the energy consumption of a base-case windowless house (Approximately 6% total energy savings, and 40% heating).

Mukhopadhyay, J.; Haberl, J. S.

2006-08-01T23:59:59.000Z

420

Buildings Performance Database Helps Building Owners, Investors...  

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

Buildings Performance Database Helps Building Owners, Investors Evaluate Energy Efficient Buildings Buildings Performance Database June 2013 A new database of building features and...

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

Building Technologies Office: Buildings NewsDetail  

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

NewsDetail on Twitter Bookmark Building Technologies Office: Buildings NewsDetail on Google Bookmark Building Technologies Office: Buildings NewsDetail on Delicious Rank Building...

422

Release Date: August 2010 Next Release Date: August 2011  

U.S. Energy Information Administration (EIA)

Release Date: August 2010 Next Release Date: August 2011 U.S. Energy Information Administration/Renewable Energy Annual 2008 Table 1.14 Total Biomass Electricity Net ...

423

commercial buildings | OpenEI  

Open Energy Info (EERE)

buildings buildings Dataset Summary Description Emissions from energy use in buildings are usually estimated on an annual basis using annual average multipliers. Using annual numbers provides a reasonable estimation of emissions, but it provides no indication of the temporal nature of the emissions. Therefore, there is no way of understanding the impact on emissions from load shifting and peak shaving technologies such as thermal energy storage, on-site renewable energy, and demand control. Source NREL Date Released April 11th, 2011 (3 years ago) Date Updated April 11th, 2011 (3 years ago) Keywords buildings carbon dioxide emissions carbon footprinting CO2 commercial buildings electricity emission factors ERCOT hourly emission factors interconnect nitrogen oxides NOx SO2

424

Modeling of Heat Transfer in Rooms in the Modelica Buildings Library  

E-Print Network (OSTI)

for one-dimensional heat conduction in a solid only needs todifferent models to compute heat conduction through opaqueone-dimensional heat conduction through multi-layered

Wetter, Michael

2013-01-01T23:59:59.000Z

425

Quantum Dating Market  

E-Print Network (OSTI)

We consider the dating market decision problem under the quantum mechanics point of view. Quantum states whose associated amplitudes are modified by men strategies are used to represent women. Grover quantum search algorithm is used as a playing strategy. Success is more frequently obtained by playing quantum than playing classic.

O. G. Zabaleta; C. M. Arizmendi

2010-03-04T23:59:59.000Z

426

Date: _______________ Vendor Name: _______________________________  

E-Print Network (OSTI)

: ________________________ City, State, Zip:_______________________ Phone # : __________________ Fax, Nuclear Magnetic Resonance e. ___ Fire Safety-Extinguishing Systems, Bldg. Security Alarm Systems on ReX Released Re-released Faxed to Purchasing Date Initials 6-15-11 REV 0.00 0.00 0.00 0.00 0.00 0

Fabrikant, Sara Irina

427

Psychophysiological signal processing for building a user model in adaptive e-learning systems  

Science Conference Proceedings (OSTI)

User's psychophysiological state model allows taking into account learner's emotional and physiological states during technology-based learning. The capability of recognizing the "human factor" considerably improves the Human-Computer-Interaction process ... Keywords: adaptive e-learning, biofeedback sensors, learner's psychophysiological state, physiological data processing, user model

Tatiana Rikure; Leonid Novitsky

2008-12-01T23:59:59.000Z

428

Towards building performance models for data-intensive workloads in public clouds  

Science Conference Proceedings (OSTI)

The cloud computing paradigm provides the "illusion" of infinite resources and, therefore, becomes a promising candidate for large-scale data-intensive computing. In this paper, we explore experiment-driven performance models for data-intensive workloads ... Keywords: multi-tenancy, performance model, performance variables, prediction techniques

Rizwan Mian; Patrick Martin; Farhana Zulkernine; Jose Luis Vazquez-Poletti

2013-04-01T23:59:59.000Z

429

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

430

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

431

Co-simulation of innovative integrated HVAC systems in buildings  

E-Print Network (OSTI)

Canada: International Building Perfor- mance SimulationExternal coupling between building energy simulation andexternal coupling of building energy and air ow modeling

Trcka, Marija

2010-01-01T23:59:59.000Z

432

Building Distributed Energy Performance Optimization for China a Regional Analysis of Building Energy Costs and CO2 Emissions  

E-Print Network (OSTI)

Department of Energy Commercial Reference Building Models ofthe National Building Stock. Golden, Colorado: Nationaland Renewable Energy, Building Technologies Program, of the

Feng, Wei

2013-01-01T23:59:59.000Z

433

Service Buildings  

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

Service Service Characteristics by Activity... Service Service buildings are those in which some type of service is provided, other than food service or retail sales of goods. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Service Buildings... Most service buildings were small, with almost ninety percent between 1,001 and 10,000 square feet. Tables: Buildings and Size Data by Basic Characteristics Establishment, Employment, and Age Data by Characteristics Number of Service Buildings by Predominant Building Size Category Figure showing number of service buildings by size. If you need assistance viewing this page, please contact 202-586-8800. Equipment Table: Buildings, Size, and Age Data by Equipment Types Predominant Heating Equipment Types in Service Buildings

434

A Modelica-based Model Library for Building Energy and Control Systems  

E-Print Network (OSTI)

and the temperature of the boiler is con- trolled based onDampers Motors Valves Boilers Chillers Delays HeatExchangersuid ?ow systems. A dynamic boiler model is in Fluid.Boilers

Wetter, Michael

2010-01-01T23:59:59.000Z

435

Using Random Effects to Build Impact Models When the Available Historical Record Is Short  

Science Conference Proceedings (OSTI)

The analysis of the affect of weather and climate on human activities requires the construction of impact models that are able to describe the complex links between weather and socioeconomic data. In practice, one of the biggest challenges is the ...

Filipe Aires

2012-11-01T23:59:59.000Z

436

Partition wall subsystem modeling and effect on the coupled building system response  

E-Print Network (OSTI)

damage. The value of the maximum demand, D i , correspondingHowever, the maximum interstory demands on the PWs were atPW model: maximum interstory drift demands at each floor

Wood, Richard Lee

2012-01-01T23:59:59.000Z

437

Seismic Performance, Modeling, and Failure Assessment of Reinforced Concrete Shear Wall Buildings  

E-Print Network (OSTI)

of Structural Engineering, ASCE, V. 117, No. 5, pp. 1514-J. P. , (2007). Update to ASCE/SEI 41 Concrete Provisions.Model for Confined Concrete", ASCE Journal of Structural

Tuna, Zeynep

2012-01-01T23:59:59.000Z

438

Decarbonising the English residential sector: modelling policies, technologies and behaviour within a heterogeneous building stock  

E-Print Network (OSTI)

Housing Energy Fact File HHLD Household HLP Heat Loss Parameter HTCC Heat Transfer Convective Coefficient IAM Integrated Assessment Model IEA International Energy Agency LED Light Emitting Diode LEED Leadership in Energy and Environmental Design... Housing Energy Fact File HHLD Household HLP Heat Loss Parameter HTCC Heat Transfer Convective Coefficient IAM Integrated Assessment Model IEA International Energy Agency LED Light Emitting Diode LEED Leadership in Energy and Environmental Design...

Kelly, Scott

2013-04-16T23:59:59.000Z

439

Property:Event/Date | Open Energy Information  

Open Energy Info (EERE)

Property Property Edit with form History Facebook icon Twitter icon » Property:Event/Date Jump to: navigation, search Property Name Event/Date Property Type Date Description The date on which an event occurs. Pages using the property "Event/Date" Showing 25 pages using this property. (previous 25) (next 25) 1 11th Annual Workshop on Greenhouse Gas Emission Trading + 3 October 2011 + 11th Annual Workshop on Greenhouse Gas Emission Trading Day 2 + 4 October 2011 + 15th International Business Forum: Low Carbon High Growth - Business Models for a Changing Climate + 21 October 2012 + 18th Africa Partnership Forum + 25 April 2012 + 2 2012 Bonn Climate Change Conference + 14 May 2012 + 7 7th Asia Clean Energy Forum + 4 June 2012 + A ASEAN Roadmapping Workshop + 2 June 2011 +

440

Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green? April 2009 (Brochure)  

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

GO-102009-2829 * April 2009 GO-102009-2829 * April 2009 Cover photo courtesy of Lynn Billman, NREL Printed with a renewable source ink on paper containing at least 50% wastepaper, including 10% postconsumer waste. For Additional Information, Please Contact: Energy Efficiency and Renewable Energy Information Center 1-877-EERE-INF (1-877-337-3463) www.eere.energy.gov Prepared by NREL, a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. How would you rebuild a town - green? Greensburg, Kansas: Building a Model Green Community Energy Efficiency & Renewable Energy Case Study Database

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

Mercantile Buildings  

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

Mercantile Mercantile Characteristics by Activity... Mercantile Mercantile buildings are those used for the sale and display of goods other than food (buildings used for the sales of food are classified as food sales). This category includes enclosed malls and strip shopping centers. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Mercantile Buildings... Almost half of all mercantile buildings were less than 5,000 square feet. Roughly two-thirds of mercantile buildings housed only one establishment. Another 20 percent housed between two and five establishments, and the remaining 12 percent housed six or more establishments. Tables: Buildings and Size Data by Basic Characteristics Establishment, Employment, and Age Data by Characteristics

442

Other Buildings  

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

Other Other Characteristics by Activity... Other Other buildings are those that do not fit into any of the specifically named categories. Basic Characteristics [ See also: Equipment | Activity Subcategories | Energy Use ] Other Buildings... Other buildings include airplane hangars; laboratories; buildings that are industrial or agricultural with some retail space; buildings having several different commercial activities that, together, comprise 50 percent or more of the floorspace, but whose largest single activity is agricultural, industrial/manufacturing, or residential; and all other miscellaneous buildings that do not fit into any other CBECS category. Since these activities are so diverse, the data are probably less meaningful than for other activities; they are provided here to complete

443

HEMORANDUH TO: FILE DATE  

Office of Legacy Management (LM)

HEMORANDUH HEMORANDUH TO: FILE DATE 1123 lLjl ---WV-------------- FROM: P. s&w+ -------v-----s-- SUBJECT: lJ+ - e;& SITE NAME: LJo"zL - /L,' de Cd -J--h=- ALTERNATE l --e-e-- ------w------- ---,,,' ,m--, NAME: ---------------------- CITY: LL-pL~ ------------ ------------- STATE3 e--w-- OWNER tS) -----w-- Past I --k-!!.l~ -pa L . -v-----w------- Current: Owner contac?-ed 0 yes 0 no; if yes, I+Lff A zid;&m - -------------------------- date contacted ------B--m--- TYPE OF OPERATION ----------------- a Research 81 Development a Facility Type 0 Production scale testing 0 Pilot Scale 0 Bench Scale Procesr 0 Theoretical Studies 0 Sample & Analysis m Manuf acturinq 0 University 0 Research Organization 0 Government Sponrored Facility 0 Other

444

FROM: DATE: TO:  

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

DATE: DATE: TO: POLICY FLASH 2010-48 May 06,20 1 0 Procurement Directors Office of Procurement and Assistance Policy, MA-6 1 Office of Procurement and Assistance Management SUBJECT: Acquisition LetterIFinancial Assistance Letter (ALIFAL) 201 0-06, Acquiring Information Technology, Requirement to Comply With Internet Protocol Version 6 (IPv6) SUMMARY: ALIFAL 201 0-06 provides notice that the Civilian Agency Acquisition Council and the Defense Acquisition Regulations Council are issuing a final rule amending the Federal Acquisition Regulation (FAR) to require that Internet Protocol Version 6 (IPv6) compliant products be included in all new information technology (IT) acquisitions using Internet Protocol (IP). ALIFAL 2010-06, accordingly, updates the IPv6 guidance provided in AL-2006-04.

445

TO: FILE DATE  

Office of Legacy Management (LM)

tlEi?ORANDUH tlEi?ORANDUH TO: FILE DATE FFtOil: c ----'- Y '%d 6- ----_----_ SUBJECT: SITE NAME: ----------STATE: Owner contacted 0 yes qno; if yes, date contacted ---------__-- TYPE OF OPERATION ----~_--_--~----_ &Research & Development @ Praduction scale testing. 0 Pilat Scale 0 Bench Scale Process a Theoretical Studies 0 Sample & Analysis tin Facility Type R Manufacturing IJ University 0 Research Organization IJ Gavernment Sponsored Facility 0 Other ----------------' --~- 0 Production E Disposal/Storage TYPE OF CONTRACT ~~_-~--_---_--__ P Prime 0 I Cl Subcontractor Other information (i.e., cost K Purchase Order jZM pati !& MC4 + fixed fee, unit price, time 81 material, etc) ---------------------_----~-- OWNERSHIP: AEC/MED AEC/MED GOVT GOVT

446

Simulation of the Post-Retrofit Thermal Energy Use for the Perry-Castaneda Library Building with the Use of Simplified System Models  

E-Print Network (OSTI)

Several state owned buildings with dual-duct constant volume (DDCV) systems are being retrofitted with energy efficient variable air volume (VAV) systems as part of Texas LoanSTAR Program. One method of determining the energy savings resulting from energy conserving retrofits relies on the use of a model for the daily whole building consumption, Epre, in the pre-retrofit configuration. Epre is typically a function of primary influencing parameters such as ambient temperature, humidity, building internal gains and others (Figure 1). Following the retrofit, the energy saved, E,av is determined using measured daily consumption, Emea3 as shown in Figure 1. This method is being used in the Texas LoanSTAR monitoring and analysis program for buildings that have adequate pre-retrofit monitored data. Unfortunately, in the Perry-Castaneda Library (PCL) building, the retrofits were completed before the monitoring instrumentation was installed. Therefore, no pre-retrofit monitored data are available for this building. Hence another method to estimate savings is needed. Such a method was developed and tested (Katipamula and Claridge 1991). This method was based on the use of the ASHRAE TC 4.7 simplified energy analysis procedure (SEAP). It involved developing one model each for the VAV (post-retrofit system) and the DDCV (pre-retrofit system) systems.

Katipamula, S.; Claridge, D. E.

1991-01-01T23:59:59.000Z

447

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

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

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...

448

Name: Sani Daher Date of Degree: July, 1996  

E-Print Network (OSTI)

heat pump system model of the Building Loads Analysis and System Thermodynamics (BLAST) software. BLAST exchanger model used in the ground loop heat exchanger simulation software (GLHEPRO) into the water loop is a comprehensive building simulation program used for the calculation of building loads and the design #12;iiii

449

Buildings*","Buildings  

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

8. Primary Space-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" 8. Primary Space-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Space Heating","Primary Space-Heating Energy Source Used a" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat" "All Buildings* ...............",4645,3982,1258,1999,282,63 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2552,2100,699,955,171,"Q" "5,001 to 10,000 ..............",889,782,233,409,58,"Q" "10,001 to 25,000 .............",738,659,211,372,32,"Q" "25,001 to 50,000 .............",241,225,63,140,8,9

450

Buildings*","Buildings  

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

6. Space Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" 6. Space Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Space Heating","Space-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane","Other a" "All Buildings* ...............",4645,3982,1766,2165,360,65,372,113 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2552,2100,888,1013,196,"Q",243,72 "5,001 to 10,000 ..............",889,782,349,450,86,"Q",72,"Q" "10,001 to 25,000 .............",738,659,311,409,46,18,38,"Q"

451

Buildings*","Buildings  

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

1. Water-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" 1. Water-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Water Heating","Water-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane" "All Buildings* ...............",4645,3472,1910,1445,94,27,128 "Building Floorspace" "(Square Feet)" "1,001 to 5,000 ...............",2552,1715,1020,617,41,"N",66 "5,001 to 10,000 ..............",889,725,386,307,"Q","Q",27 "10,001 to 25,000 .............",738,607,301,285,16,"Q",27

452

Commercial Buildings Energy Consumption Survey (CBECS) - Analysis &  

Gasoline and Diesel Fuel Update (EIA)

All Reports & Publications All Reports & Publications Search By: Go Pick a date range: From: To: Go Commercial BuildingsAvailable formats PDF Modeling Distributed Generation in the Buildings Sectors Released: August 29, 2013 This report focuses on how EIA models residential and commercial sector distributed generation, including combined heat and power, for the Annual Energy Outlook. PDF Distributed Generation System Characteristics and Costs in the Buildings Sector Released: August 7, 2013 EIA works with technology experts to project the cost and performance of future residential and commercial sector photovoltaic (PV) and small wind installations rather than developing technology projections in-house. These reports have always been available by request. By providing the reports

453

Reducing Toxic Exposure In Buildings: Application of Computational Fluid  

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

Reducing Toxic Exposure In Buildings: Application of Computational Fluid Reducing Toxic Exposure In Buildings: Application of Computational Fluid Dynamics (CFD) Speaker(s): Buvana Jayaraman Date: December 8, 2005 - 12:00pm Location: Bldg. 90 I investigate three applications related to toxic exposure in buildings and demonstrate the use of Computational Fluid Dynamics (CFD) to address important issues: 1. Improving containment of airborne hazardous materials in an existing room containing a downdraft table. CFD is used to find a ventilation configuration that ensures better containment of the hazardous material and hence improved worker safety. 2. Modeling gas transport in a large indoor space. The goal of this study is to understand how the level of detail of the CFD model affects its accuracy. Comparison of predictions with experimental data will be presented. 3. Understanding

454

Building Energy Codes 101: An Introduction | Building Energy Codes Program  

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

Codes 101: An Introduction Codes 101: An Introduction In order to provide a basic introduction to the varied and complex issues associated with building energy codes, the U.S. Department of Energy's Building Energy Codes Program, with valued assistance from the International Codes Council and ASHRAE, has prepared Building Energy Codes 101: An Introduction. This guide is designed to speak to a broad audience with an interest in building energy efficiency, including state energy officials, architects, engineers, designers, and members of the public. Publication Date: Wednesday, February 17, 2010 BECP_Building Energy Codes 101_February2010_v00.pdf Document Details Last Name: Britt Initials: M Affiliation: PNNL Document Number: PNNL-70586 Focus: Adoption Code Development Compliance Building Type:

455

Building simple multiscale visualizations of outcrop geology using virtual reality modeling language (VRML)  

Science Conference Proceedings (OSTI)

Geological data collected from outcrop are inherently three-dimensional (3D) and span a variety of scales, from the megascopic to the microscopic. This presents challenges in both interpreting and communicating observations. The Virtual Reality Modeling ... Keywords: Carbonates, GIS, Mud-mounds, Photorealistic, VRML

John B. Thurmond; Peter A. Drzewiecki; Xueming Xu

2005-08-01T23:59:59.000Z

456

Development of an ash particle deposition model considering build-up and removal mechanisms  

SciTech Connect

Slagging and fouling on heat exchanger surfaces in power boilers fired with fossil fuels and fuel mixtures has a significant influence on boiler efficiency and availability. Mathematical modelling has long been considered a suitable method to assist boiler operators to determine optimized operating conditions for an existing furnace. The ultimate goal in ash deposition prediction is hereby the determination of the total amount of material deposited and hence the determination of the total reduction in efficiency. Depending on the fuels fired the total deposited mass is a combination of ash particle deposition and ash particle erosion due to non-sticky particles. The novel ash particle deposition model presented in this work considers deposition of sticky ash particles, cleansing of deposit by non-sticky sand particles and sticking of sand due to contact with sticky ash. The steady-state modelling results for the total amount of ash deposited on the deposition probe of an entrained flow reactor presented in this work agree well with the experimental data. Only at very high fractions of sand added as non-sticky material, a significant influence of the sand on the overall mass deposited was found. Since the model considers sticking of non-sticking sand due to contact with sticky ash, the fraction of sand deposited on the probe was especially studied. Using a correction factor to consider the influence of operating time on the steady-state simulations led to good agreement between simulations and experimental data. 12 refs., 10 figs.

Kjell Strandstroem; Christian Muellera; Mikko Hupa [Abo Akademi Process Chemistry Centre, Abo (Finland)

2007-12-15T23:59:59.000Z

457

Vacant Buildings  

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

of 275 thousand cubic feet per building, 29.9 cubic feet per square foot, at an average cost of 475 per thousand cubic feet. Energy Consumption in Vacant Buildings by Energy...

458

Building America  

SciTech Connect

IBACOS researched the constructability and viability issues of using high performance windows as one component of a larger approach to building houses that achieve the Building America 70% energy savings target.

Brad Oberg

2010-12-31T23:59:59.000Z

459