National Library of Energy BETA

Sample records for building models date

  1. Building Energy Modeling Library

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

    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)...

  2. Building

    E-Print Network [OSTI]

    Physical Facilities

    2013-11-12

    MATHEMATICAL SCIENCES BUILDING. BUILDING EMERGENCY PLAN. Date Adopted: Sept 20, 2013. Date Revised: Sep 20. 2013. Prepared By: Kelly ...

  3. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19

    I review some of the latest directions in supersymmetric model building, focusing on SUSY breaking mechanisms in the minimal supersymmetric standard model [MSSM], the "little" hierarchy and $\\mu$ problems, etc. I then discuss SUSY GUTs and UV completions in string theory.

  4. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06

    In this talk I review some recent progress in heterotic and F theory model building. I then consider work in progress attempting to find the F theory dual to a class of heterotic orbifold models which come quite close to the MSSM.

  5. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27

    I discuss an evolution of SUSY GUT model building, starting with the construction of 4d GUTs, to orbifold GUTs and finally to orbifold GUTs within the heterotic string. This evolution is an attempt to obtain realistic string models, perhaps relevant for the LHC. This review is in memory of the sudden loss of Julius Wess, a leader in the field, who will be sorely missed.

  6. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    solar radiation, occupancy, and electrical devices in the buildings as a function of weather information, time, and date.solar radiation, occupancy, and electrical devices in the buildings as a function of weather information, time, and date.

  7. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19

    A simple algorithm to calculate the group theory factor entering in anomalies at four and six dimensions for SU(N) and SO(N) groups in terms of the Casimir invariants of their subgroups is presented. Explicit examples of some of the lower dimensional representations of $SU(n), n \\leq 5$ and SO(10) groups are presented, which could be used for model building in four and six dimensions.

  8. Model Building Energy Code

    Broader source: Energy.gov [DOE]

    The Energy Efficiency Building Performance Standards (EEBPS) are statewide minimum requirements that all new construction and additions to existing buildings must satisfy. Exceptions include...

  9. Building Energy Modeling Insights | Department of Energy

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

    RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. September 3, 2015 Unmet Hours is a question-and-answer resource for the building energy modeling...

  10. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

    LBNL-6034E Comparison of Building Energy Modeling Programs: Building Loads Dandan Zhu1 , Tianzhen Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U;Comparison of Building Energy Modeling Programs: Building Loads A joint effort between Lawrence Berkeley

  11. Building Name: ____________________________________________ Address: __________________________________________ Completed by: ___________________________________________ Date: ______________ File Number: ___________________

    E-Print Network [OSTI]

    input? s Fuel or combustion odors Cooling Tower s Clean? no leaks or overflow? Slime or algae growth air s Actual temperatures supply air mixed air return air outdoor air Coils s Heating fluid discharge temperature T cooling fluid discharge temperature T s Controls (describe) s Condition (note date) Humidifier

  12. Autotune Building Energy Models

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels Research atDepartmentAuditsDepartment of(TEG)ofAutotune Building

  13. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

    Stromberg, and S.O. Woodall. "Passive Solar Buildings: ASome Analytic Models of Passive Solar Building Per­at the Third National Passive Solar Conference, San Jose,

  14. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    Model Predictive Control and Thermal Storage: a Simple 3.3of Building Thermal Storage”. In: ASHRAE Transactions 96.2 (and Passive Building Thermal Storage”. In: International

  15. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

    of day for simple passive buildings with free-floating (and S.O. Woodall. "Passive Solar Buildings: A Compilation ofAnalytic Models of Passive Solar Building Per­ formance."

  16. Conference Dates: November 21-24, 2013 Conference Venue: Administration Building, National Chengchi University

    E-Print Network [OSTI]

    Conference Dates: November 21-24, 2013 Conference Venue: Administration Building, National Chengchi and Development #12;Welcome Message from Conference Honorary Chair On behalf of ILAS, a co-host of this conference with National Chengchi University, I would like to welcome you all to the 27th Pacific Asia Conference

  17. Integrating Building Information Modeling with Object-Oriented Physical Modeling for Building Thermal Simulation 

    E-Print Network [OSTI]

    Jeong, Woon Seong

    2014-09-05

    This study presents a Building Information Modeling (BIM) to Building Energy Modeling (BEM) translation framework (BIM2BEM) through the integration of BIM with Object-Oriented Physical Modeling (OOPM) for building thermal simulation to support...

  18. DATE:

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

    3-12 DATE: December 7, 2012 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management...

  19. DATE:

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

    4-35 DATE: July 09, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management...

  20. The Structure of Tradeoffs in Model Building

    E-Print Network [OSTI]

    Weisberg, Michael

    The Structure of Tradeoffs in Model Building John Matthewson Australia National University Michael of model building depending on their theoretical goals (1966). His own discussion argued that a three three types of tradeoff relevant for model building. After giving definitions for these, we investigate

  1. hs building_warden_instructions Page 1 of 3 Date issued: 17-Feb-12 Health and Safety

    E-Print Network [OSTI]

    Hickman, Mark

    hs ­ building_warden_instructions Page 1 of 3 Date issued: 17-Feb-12 Health and Safety Instructions for Building Wardens ON HEARING THE ALARM SOUND OR WHEN NOTIFIED OF AN EMERGENCY EVACUATION · Make sure staff do not re-enter buildings until authorised. vi. Debrief staff following the incident. vii. Take

  2. 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]

    Webb, Peter

    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

  3. Better Buildings Neighborhood Program Business Models Guide

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  4. DATE:

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers Co -VANaval ,, *' ;x-L*Qwner -RL5- DATE:

  5. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  6. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  7. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  8. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  9. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  10. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:5

  11. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:5

  12. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  13. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  14. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartmentEnergyEveryCustomerD= DOE/RG-0067 o y e=Burden45 DATE:

  15. Building Energy Modeling (BEM) Program Overview

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

    Amir Roth, Ph.D. amir.roth@ee.doe.gov Building Energy Modeling (BEM) Program Overview http:energy.goveerebuildingsbuilding-energy-modeling 2 BEM: An Energy-Efficiency...

  16. Report on High Performance Building's Energy Modeling, Physical Building Information Modeling for Solar Building Design and Simulation 

    E-Print Network [OSTI]

    Alcocer, J.; Haberl, J. S.

    2012-01-01

    This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy ...

  17. Better Buildings Neighborhood Program Business Models Guide: Program Administrator Description

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Program Administrator Business Models, Program Administrator Description.

  18. MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL

    E-Print Network [OSTI]

    Ihler, Alexander

    MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler using real data from a network of optical counting sensors in a campus building. Index Terms--- sensor Knowledge of the number of people in a building at a given time is crucial for applications

  19. MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL

    E-Print Network [OSTI]

    Ihler, Alexander

    MODELING COUNT DATA FROM MULTIPLE SENSORS: A BUILDING OCCUPANCY MODEL Jon Hutchins, Alexander Ihler using real data from a network of optical counting sensors in a campus building. Index Terms-- sensor Knowledge of the number of people in a building at a given time is crucial for applications

  20. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    . With buildings being the largest single sector of energy consumption, building efficiency is one of the fastest of energy efficiency for buildings is being able to realistically model specific building types; however

  1. Dates of Orders Placed with Messrs Düllmann, Dortmund for High Power Installations in the Various Buildings and for the Supply of Electrical Equipment

    E-Print Network [OSTI]

    1958-01-01

    Dates of Orders Placed with Messrs Düllmann, Dortmund for High Power Installations in the Various Buildings and for the Supply of Electrical Equipment

  2. Model Simulating Real Domestic Hot Water Use - Building America...

    Energy Savers [EERE]

    Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Model Simulating Real Domestic Hot Water Use - Building America Top Innovation Image of a pipe...

  3. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01

    &R RESEARCH OCTOBER 2006 1141 Uncalibrated Building Energy Simulation Modeling Results Mushtaq Ahmad Charles H. Culp, PhD, PE Associate Member ASHRAE Fellow ASHRAE Received June 23, 2005; accepted April 17, 2006 Uncalibrated simulations have provided useful... was to analyze the performance of four uncali- brated simulation models using DOE-2.1E Version 119 (Ayres and Stamper 1995) as the simula- tion package. The four buildings were randomly selected from a building data base (LoanSTAR 2005). Three of the four...

  4. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    ALC) system. ALC is a building automation system, offering aModern digital building automation systems satisfy thesemore sophisticated building automation systems and building

  5. Building an MLR Model Building a multiple linear regression (MLR) model from data is one of the

    E-Print Network [OSTI]

    Olive, David

    Chapter 3 Building an MLR Model Building a multiple linear regression (MLR) model from data is one- imation to the data can be difficult. Model building is an iterative process. Given the problem and data, spend about 1/8 of the budget to collect data and build an initial MLR model. Spend another 1

  6. Multi-model assessment of stratospheric ozone return dates and ozone recovery in

    E-Print Network [OSTI]

    Wirosoetisno, Djoko

    Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models. (2010) Multi-model assessment of stratospheric ozone return dates and ozone recovery in CCMVal-2 models Chemistry and Physics Multi-model assessment of stratospheric ozone return dates and ozone recovery

  7. Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation 

    E-Print Network [OSTI]

    Xu, X.; Wang, S.

    2006-01-01

    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...

  8. Iterative-build OMIT maps: map improvement by iterative model building and refinement without model bias

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States); Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Adams, Paul D. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Read, Randy J. [Department of Haematology, University of Cambridge, Cambridge CB2 0XY (United Kingdom); Zwart, Peter H. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Hung, Li-Wei [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2008-05-01

    An OMIT procedure is presented that has the benefits of iterative model building density modification and refinement yet is essentially unbiased by the atomic model that is built. A procedure for carrying out iterative model building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite ‘iterative-build’ OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based information present elsewhere in the unit cell. The procedure may have applications in the validation of specific features in atomic models as well as in overall model validation. The procedure is demonstrated with a molecular-replacement structure and with an experimentally phased structure and a variation on the method is demonstrated by removing model bias from a structure from the Protein Data Bank.

  9. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    Control for Active and Passive Building Thermal Storage”.Control for Active and Passive Building Thermal StorageControl for Active and Passive Building Thermal Storage

  10. Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Introduction.

  11. Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Retailer Business Model Conclusion, Summary of Retailer Insights.

  12. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model.

  13. Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Remodeler Business Model Conclusion, Summary of Remodeler Insights.

  14. Model Building with F-Theory

    E-Print Network [OSTI]

    Ron Donagi; Martijn Wijnholt

    2012-04-03

    Despite much recent progress in model building with D-branes, it has been problematic to find a completely convincing explanation of gauge coupling unification. We extend the class of models by considering F-theory compactifications, which may incorporate unification more naturally. We explain how to derive the charged chiral spectrum and Yukawa couplings in N=1 compactifications of F-theory with G-flux. In a class of models which admit perturbative heterotic duals, we show that the F-theory and heterotic computations match.

  15. Progress in D-brane model building

    E-Print Network [OSTI]

    Fernando Marchesano

    2007-03-05

    The state of the art in D-brane model building is briefly reviewed, focusing on recent achievements in the construction of D=4 N = 1 type II string vacua with semi-realistic gauge sectors. Such progress relies on a better understanding of the spectrum of BPS D-branes, the effective field theory obtained from them and the explicit construction of vacua. We first consider D-branes in standard Calabi-Yau compactifications, and then the more involved case of compactifications with fluxes. We discuss how the non-trivial interplay between D-branes and fluxes modifies the previous model-building rules, as well as provides new possibilities to connect string theory to particle physics.

  16. Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2011 

    E-Print Network [OSTI]

    Yan, W.; Haberl, J.; Clayton, M.; Jeong, W.; Kim, J.; Kota, S.; Alcocer, J.; Dixit, M.

    2011-01-01

    This report was created for the National Science Foundation-Physical Building Information Modeling (NSF-PBIM) project. This report describes the analysis of a solar office building using the following software: the legacy ...

  17. Methodology for Modeling Building Energy Performance across the Commercial Sector

    SciTech Connect (OSTI)

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

    2008-03-01

    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.

  18. Markovian Models for Electrical Load Prediction in Smart Buildings

    E-Print Network [OSTI]

    California at Santa Barbara, University of

    Markovian Models for Electrical Load Prediction in Smart Buildings Muhammad Kumail Haider, Asad,13100004,ihsan.qazi}@lums.edu.pk Abstract. Developing energy consumption models for smart buildings is important develop parsimo- nious Markovian models of smart buildings for different periods in a day for predicting

  19. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    LBNL-5566E SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION Author(s), James O;SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION James O'Donnell1 Richard See2 , Cody exist within industry-standard data models as used by present-day whole-building energy simulation

  20. Building Project Model Support for Automated Labor Monitoring

    E-Print Network [OSTI]

    Sacks, Rafael

    that full integration of automated data monitoring systems with building project models BPM is an effectiveBuilding Project Model Support for Automated Labor Monitoring R. Sacks1 ; R. Navon2 ; and E ADC , offers a solution to the problem. Integration with a computerized building project model BPM

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

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01

    Clothing Model Impact on Building Energy PerformanceInsulation Models on Building Energy Performance K. H. LeeModel Impact on Building Energy Performance is one of the

  2. Interfacing BIM with Building Thermal and Daylighting Modeling 

    E-Print Network [OSTI]

    Yan, Wei; Clayton, Mark; Haberl, Jeff; WoonSeong, Jeong; Bun Kim, Jong; Sandeep, Kota; Bermudez, Jose; Dixit, Manish

    2013-01-01

    and development of system interfaces between Building Information Modeling (BIM) and Building Energy Modeling (BEM), for supporting integrated architectural design and energy simulation. Our methods utilize the BIM authoring tools’ Application Programming..., and B. Saxhof. (2003). Solar energy houses: strategies, technologies, examples. Earthscan. Lee, G., R. Sacks, and C. M. Eastman. (2006). Specifying parametric building object behavior (BOB) for a building information modeling system. Automation...

  3. Iterative build OMIT maps: Map improvement by iterative model-building and refinement without model bias

    SciTech Connect (OSTI)

    Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England; Terwilliger, Thomas; Terwilliger, T.C.; Grosse-Kunstleve, Ralf Wilhelm; Afonine, P.V.; Moriarty, N.W.; Zwart, P.H.; Hung, L.-W.; Read, R.J.; Adams, P.D.

    2008-02-12

    A procedure for carrying out iterative model-building, density modification and refinement is presented in which the density in an OMIT region is essentially unbiased by an atomic model. Density from a set of overlapping OMIT regions can be combined to create a composite 'Iterative-Build' OMIT map that is everywhere unbiased by an atomic model but also everywhere benefiting from the model-based information present elsewhere in the unit cell. The procedure may have applications in the validation of specific features in atomic models as well as in overall model validation. The procedure is demonstrated with a molecular replacement structure and with an experimentally-phased structure, and a variation on the method is demonstrated by removing model bias from a structure from the Protein Data Bank.

  4. Gauge symmetry breaking in orbifold model building

    E-Print Network [OSTI]

    Michele Trapletti

    2006-11-02

    We review the gauge symmetry breaking mechanism due to orbifold projections in orbifold model building. We explicitly show the existence of a scale of breaking if such a symmetry breaking is due to freely-acting orbifold operators only, i.e. in case the breaking is realized non-locally in the internal space. We show that such a scale is related to the compactification moduli only, and that there are no extra continuous parameters, at least in semirealistic models with N=1 SUSY in four dimensions. In this sense, the mechanism is peculiarly different from the standard Higgs (or Hosotani) symmetry breaking mechanism. We show that the mechanism also differs from that present in standard orbifold models where, even in presence of discrete Wilson lines, a scale of breaking is generically missing, since the breaking is localized in specific points in the internal space. We review a set of background geometries where the described non-local breaking is realized, both in the case of two and six extra dimensions. In the latter case, relevant in string model building, we consider both heterotic and open string compactifications.

  5. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

    solution”. In: Energy and Buildings 52.0 (2012), pp. 39–49.with GenOpt”. In: Energy and Buildings 42.7 (2010), pp.lation Program”. In: Energy and Buildings 33.4 (2001), pp.

  6. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    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.

  7. Relational Agents: A Model and Implementation of Building User Trust

    E-Print Network [OSTI]

    Bickmore, Timothy

    ; essentially a passive strategy for relationship building. What these systems lack are explicit behaviorsRelational Agents: A Model and Implementation of Building User Trust Timothy Bickmore, Justine}@media.mit.edu ABSTRACT Building trust with users is crucial in a wide range of applications, such as advice

  8. Using Simulation Models for Building Commissioning 

    E-Print Network [OSTI]

    Claridge, D. E.

    2004-01-01

    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...

  9. Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Conclusion, Summary of HVAC Contractor Insights.

  10. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

    Solar Buildings: A Compilation of Data and Results." Sandia Laboratories, SAND 77-1204, Albuquerque, New Mexico,

  11. Information Modelling for Sustainable Buildings Matija Knig

    E-Print Network [OSTI]

    Dustdar, Schahram

    for Energy Efficiency (EE) and the use of Renewable Energy Sources (RES) in buildings. How- ever in buildings related to energy efficiency. Categories and Subject Descriptors H.4.0 [Information Systems- pects of building sustainability, especially Energy Efficiency (EE) and Renewable Energy Sources (RES

  12. Iterative model building, structure refinement and density modification with the PHENIX AutoBuild wizard

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States); Grosse-Kunstleve, Ralf W.; Afonine, Pavel V.; Moriarty, Nigel W.; Zwart, Peter H. [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Hung, Li-Wei [Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States); Read, Randy J. [Department of Haematology, University of Cambridge, Cambridge CB2 0XY (United Kingdom); Adams, Paul D., E-mail: terwilliger@lanl.gov [Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720 (United States); Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545 (United States)

    2008-01-01

    The highly automated PHENIX AutoBuild wizard is described. The procedure can be applied equally well to phases derived from isomorphous/anomalous and molecular-replacement methods. The PHENIX AutoBuild wizard is a highly automated tool for iterative model building, structure refinement and density modification using RESOLVE model building, RESOLVE statistical density modification and phenix.refine structure refinement. Recent advances in the AutoBuild wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model-completion algorithms and automated solvent-molecule picking. Model-completion algorithms in the AutoBuild wizard include loop building, crossovers between chains in different models of a structure and side-chain optimization. The AutoBuild wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 to 3.2 Ĺ, resulting in a mean R factor of 0.24 and a mean free R factor of 0.29. The R factor of the final model is dependent on the quality of the starting electron density and is relatively independent of resolution.

  13. Better Buildings Neighborhood Program Business Models Guide: Introduction

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  14. Better Buildings Neighborhood Program Business Models Guide: Executive Summary

    Broader source: Energy.gov [DOE]

    Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight business models that can help develop a sustainable residential energy efficiency market.

  15. A View on Future Building System Modeling and Simulation

    SciTech Connect (OSTI)

    Wetter, Michael

    2011-04-01

    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).

  16. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

    Zhu, Dandan

    2014-01-01

    Shruti Kaserekar (2010). Solar gain and cooling loadcoefficient assumptions, the solar position calculation, andthe sky diffuse solar models. 2. DeST and EnergyPlus both

  17. Iterative model-building, structure refinement, and density modification with the PHENIX AutoBuild Wizard

    SciTech Connect (OSTI)

    Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England; Terwilliger, Thomas; Terwilliger, T.C.; Grosse-Kunstleve, Ralf Wilhelm; Afonine, P.V.; Moriarty, N.W.; Zwart, P.H.; Hung, L.-W.; Read, R.J.; Adams, P.D.

    2007-04-29

    The PHENIX AutoBuild Wizard is a highly automated tool for iterative model-building, structure refinement and density modification using RESOLVE or TEXTAL model-building, RESOLVE statistical density modification, and phenix.refine structure refinement. Recent advances in the AutoBuild Wizard and phenix.refine include automated detection and application of NCS from models as they are built, extensive model completion algorithms, and automated solvent molecule picking. Model completion algorithms in the AutoBuild Wizard include loop-building, crossovers between chains in different models of a structure, and side-chain optimization. The AutoBuild Wizard has been applied to a set of 48 structures at resolutions ranging from 1.1 {angstrom} to 3.2 {angstrom}, resulting in a mean R-factor of 0.24 and a mean free R factor of 0.29. The R-factor of the final model is dependent on the quality of the starting electron density, and relatively independent of resolution.

  18. Building Energy Simulation & Modeling | Department of Energy

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

    Documents & Publications Architecture firm Skidmore, Owings & Merrill (SOM) used EnergyPlus to design a new 380,000 square foot federal office building in West Virginia. The...

  19. Building Nonlinear Data Models with Self--Organizing Maps

    E-Print Network [OSTI]

    Der, Ralf

    Building Nonlinear Data Models with Self--Organizing Maps Ralf Der 1 , Gerd Balzuweit 1 , Michael.e. the observations are given by y = f (x) + j, where j is the noise which may or may not depend on x. Building a data the extraction of nonlinear data models in high dimensional spaces with modified self­organizing maps. Our algo

  20. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

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

    2012-09-30

    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.

  1. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Introduction

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model Introduction.

  2. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    SciTech Connect (OSTI)

    Sanyal, Jibonananda [ORNL] [ORNL; New, Joshua Ryan [ORNL] [ORNL; Edwards, Richard [ORNL] [ORNL; Parker, Lynne Edwards [ORNL] [ORNL

    2014-01-01

    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 can often extend in the order of a few thousand parameters which have to be calibrated manually by an expert for realistic energy modeling. This makes it challenging and expensive thereby making building energy modeling unfeasible for smaller projects. In this paper, we describe the Autotune research which employs machine learning algorithms to generate agents for the different 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 EnergyPlus 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-effective calibration of building models.

  3. Characterizing Indoor Airflow and Pollutant Transport using Simulation Modeling for Prototypical Buildings. I. Office Buildings

    SciTech Connect (OSTI)

    Sohn, M.D.; Daisey, J.M.; Feustel, H.E.

    1999-06-01

    This paper describes the first efforts at developing a set of prototypical buildings defined to capture the key features affecting airflow and pollutant transport in buildings. These buildings will be used to model airflow and pollutant transport for emergency response scenarios when limited site-specific information is available and immediate decisions must be made, and to better understand key features of buildings controlling occupant exposures to indoor pollutant sources. This paper presents an example of this approach for a prototypical intermediate-sized, open style, commercial building. Interzonal transport due to a short-term source release, e.g., accidental chemical spill, in the bottom and the upper floors is predicted and corresponding HVAC system operation effects and potential responses are considered. Three-hour average exposure estimates are used to compare effects of source location and HVAC operation.

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

    SciTech Connect (OSTI)

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

    2012-06-01

    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.

  5. Inclusion of Building Envelope Thermal Lag Effects in Linear Regression Models of Daily Basis Building Energy Use Data 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01

    Inclusion?of?Building?Envelope?Thermal?Lag? Effects?in?Linear?Regression?Models?of?Daily? Basis?Building?Energy?Use?Data The?12th International?Conference?for?Enhanced?Building?Operations October?22nd?26th,?2012 Manchester,?UK Hiroko...?enhanced?building?operations. October?18?20,?2011,? Brooklyn,?NY. Rabl,?A.?and?Rialhe,?A.?(1992).?Energy?Signature?Models?for?Commercial?Buildings:?Test?with?Measured?Data?and?Interpretation. Energy?and?Buildings,?19,?143?154. Shao,?X.?and?Claridge,?D.E.?(2006).?Use?of?first?law?energy?balance?as?a?screening?tool?for?building?energy...

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

    Towards a Very Low Energy Building Stock: Modeling the USconditioning. Very low energy buildings in particular tendand customization in most low energy buildings, the best

  7. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01

    In practice, building operation systems are only adjusted during commissioning. This is done manually and leads to failure-free but often inefficient operation. This work deals with the development of simulation models to describe and optimize...

  8. Studio Education for Integrated Practice Using Building Information Modeling 

    E-Print Network [OSTI]

    O?zener, Ozan O?zener

    2011-02-22

    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 ...

  9. Building Energy Modeling | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of EnergyEmerging Technologies » Building Energy

  10. Modeling and Analysis of Solar Radiation Potentials on Building Rooftops

    SciTech Connect (OSTI)

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

    2012-01-01

    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.

  11. Dating Concurrent Objects: Real-Time Modeling and Schedulability Analysis

    E-Print Network [OSTI]

    Johnsen, Einar Broch

    . This research is partly funded by the EU projects IST-33826 CREDO: Modeling and Analysis of Evolutionary Structures for Distributed Services (http://credo.cwi.nl) and FP7-231620 HATS: Highly Adaptable and Trust

  12. Duct thermal performance models for large commercial buildings

    SciTech Connect (OSTI)

    Wray, Craig P.

    2003-10-01

    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.

  13. Building Energy Modeling (BEM) Program Overview

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of Energy America:Antonio,BuildingDepartment ofAmir

  14. 2003 Yerkes Summer Institute Day Lab 1 Solar System Model page-1 Building Models to Scale

    E-Print Network [OSTI]

    Collar, Juan I.

    2003 Yerkes Summer Institute Day Lab 1 ­ Solar System Model page-1 Building Models to Scale visualize our solar neighborhood? One way is to build a scale model. Take, for example, the model of a BMW Z Introduction Can you picture the dimensions of the solar system? Probably not. The sizes and distances involved

  15. NREL's Building Component Library for Use with Energy Models

    DOE Data Explorer [Office of Scientific and Technical Information (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.

  16. Sacks R. (1998), `Issues in the Development and Implementation of a Building Project Model for an Automated Building System', International Journal of Construction Information Technology, Salford University, Salford

    E-Print Network [OSTI]

    Sacks, Rafael

    1998-01-01

    of an Automated, Computer Integrated Building Realization System is to automatically generate all. Keywords: Building Project Model, Computer Integrated Construction, Automated Building System. INTRODUCTION for an Automated Building System', International Journal of Construction Information Technology, Salford University

  17. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Conclusion

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Conclusion, Summary of Non-utility Program Administrator Insights.

  18. Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Market

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Market.

  19. Designing and Building a Graphical Model Library in Standard ML

    E-Print Network [OSTI]

    Murphy, Kevin Patrick

    Designing and Building a Graphical Model Library in Standard ML Clint Morgan December 2004 Abstract This paper discusses several design considerations for a probabilistic graphical model library. The library, dubbed GM, currently only contains a small subset of desirable features for such a library. In particular

  20. Building Statistical Models and Scoring with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

    77204, USA ABSTRACT Multidimensional statistical models are generally computed outside a relational DBMS are computed inside the DBMS in a single table scan exploiting SQL and User-Defined Functions (UDFs into the Teradata DBMS. Two major database processing tasks are discussed: building a model and scoring a data set

  1. Applications of formal model choice to archaeological chronology building

    E-Print Network [OSTI]

    Sahu, Sujit K

    Applications of formal model choice to archaeological chronology building Sujit K. Sahu, Faculty important than in the analysis and interpretation of chronological data, especially when information from several sources must be drawn together. Di#11;erent statistical models may, however, provide widely di#11

  2. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01

    of the central heating plant, with measurements of water temperatures and flow rates is used to adjust the parameters of the boiler model....

  3. Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials in a building roof for a

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials in "Energy and Buildings 70 (2014) http://www.sciencedirect.com/science/article/pii/ S0378778813007962" DOI : 10.1016/j.enbuild.2013.11.079 #12;Manuscript submitted to Energy and Buildings S.GUICHARD 2013 2

  4. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    SciTech Connect (OSTI)

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

    2013-01-01

    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.

  5. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth's weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  6. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

    An earth system model is a computer code designed to simulate the interrelated processes that determine the earth`s weather and climate, such as atmospheric circulation, atmospheric physics, atmospheric chemistry, oceanic circulation, and biosphere. I propose a toolkit that would support a modular, or object-oriented, approach to the implementation of such models.

  7. Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis 

    E-Print Network [OSTI]

    Kota, S.; Haberl, J.S.; Clayton, M.; Yan, W.

    2014-01-01

    ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Authors: Sandeep Kota; Jeff S. Haberl, Ph.D.; Mark J. Clayton, Ph.D.; Wei Yan, Ph.D. Corresponding Author: Wei Yan, Ph.D. Telephone: 1 979 8450584.... Email: wyan@tamu.edu Department of Architecture, Texas A&M University, College Station, Texas. ESL-PA-14-07-03 Building Information Modeling (BIM)-Based Daylighting Simulation and Analysis Abstract: Daylighting is an important aspect...

  8. Immersive Representation of Building Information Model 

    E-Print Network [OSTI]

    Nseir, Hussam

    2012-07-16

    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...

  9. Semantic Enrichment for Building Information Modeling

    E-Print Network [OSTI]

    Belsky, Michael; Sacks, Rafael; Brilakis, Ioannis

    2015-01-01

    developed that can infer such relationships from the geometry and spatial topology. Tools such as Siemens Synchronous Technology (Siemens), for example, can use data from multiple CAD systems. Given a model in B- rep the tools can process it into a feature... models are usually generated in heterogeneous computing platforms and as a result the semantics are hidden in information structures of different product data formats. This imposes difficulties for seamless interoperability and efficient reuse...

  10. Building Energy Model Calibration using EnergyPlus, Machine Learning, and SupercomputingAutotune

    E-Print Network [OSTI]

    Parker, Lynne E.

    Building Energy Model Calibration using EnergyPlus, Machine Learning, and Supercomputing barriers to DOE's Building Technology Program (BTP) goals and the adoption of building energy modeling that accurately reflects reality. Typically, a building modeler uses the software tool they have most experience

  11. Property:Buildings/Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformationModelXmlFile JumpModels Jump

  12. Building America Top Innovations 2012: Model Simulating Real Domestic Hot Water Use

    SciTech Connect (OSTI)

    none,

    2013-01-01

    This Building America Top Innovations profile describes Building America research that is improving domestic hot water modeling capabilities to more effectively address one of the largest energy uses in residential buildings.

  13. Building Emergency Action Plan Facility Name: _____________________

    E-Print Network [OSTI]

    Powers, Robert

    Building Emergency Action Plan (Template) Facility Name: _____________________ Date Prepared .....................................................................................................................................................3 2. Building Description..................................................................................................................................3 3. Building Emergency Personnel

  14. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

    Building Intelligent Sensor Networks With Multiagent Graphical Models Yang Xiang University of these agents as well as the sensors that they manage forms an intelligent sensor network. The task to process: what is the small set of devices that is highly likely the culprit of abnormality? A sensor network

  15. Machine learning method for software quality model building

    E-Print Network [OSTI]

    Matwin, Stan

    Machine learning method for software quality model building Maurício Amaral de Almeida1 and Stan Ontario, K1N 6N5 Canada {malmeida,stan}@csi.uottawa.ca Abstract Software quality prediction can be cast to software quality prediction. As it often happens in real-life applications, significant part of the project

  16. PROCEEDINGS Open Access Building Markov state models with solvent

    E-Print Network [OSTI]

    Guibas, Leonidas J.

    PROCEEDINGS Open Access Building Markov state models with solvent dynamics Chen Gu1 , Huang timescale dynamics. However, the solvent information in molecular simulations are often ignored in current methods, because of the large number of solvent molecules in a system and the indistinguishability

  17. Estimate of recharge from radiocarbon dating of groundwater and numerical flow and transport modeling

    E-Print Network [OSTI]

    Zhu, Chen

    of radioactive waste repositories. A case study of a regional aquifer in northeastern Arizona shows the rechargeEstimate of recharge from radiocarbon dating of groundwater and numerical flow and transport ages using a linked numerical 14 C transport and flow model while hydraulic conductivity values

  18. Category:Building Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION JEnvironmentalBowerbank,Cammack Village,8199089°,Analytical Modeling Jump to:Biomass

  19. Modeling distributed generation in the buildings sectors

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO), 19992, 19999,33.0Modeling

  20. Enhancements to ASHRAE Standard 90.1 Prototype Building Models

    SciTech Connect (OSTI)

    Goel, Supriya; Athalye, Rahul A.; Wang, Weimin; Zhang, Jian; Rosenberg, Michael I.; Xie, YuLong; Hart, Philip R.; Mendon, Vrushali V.

    2014-04-16

    This report focuses on enhancements to prototype building models used to determine the energy impact of various versions of ANSI/ASHRAE/IES Standard 90.1. Since the last publication of the prototype building models, PNNL has made numerous enhancements to the original prototype models compliant with the 2004, 2007, and 2010 editions of Standard 90.1. Those enhancements are described here and were made for several reasons: (1) to change or improve prototype design assumptions; (2) to improve the simulation accuracy; (3) to improve the simulation infrastructure; and (4) to add additional detail to the models needed to capture certain energy impacts from Standard 90.1 improvements. These enhancements impact simulated prototype energy use, and consequently impact the savings estimated from edition to edition of Standard 90.1.

  1. Building

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

    DIV. Electricity Consumption and Expenditure Intensities by Census Division, 1999" ,"Electricity Consumption",,,"Electricity Expenditures" ,"per Building (thousand kWh)","per...

  2. Duct thermal performance models for large commercial buildings

    E-Print Network [OSTI]

    Wray, Craig P.

    2003-01-01

    Summer Study on Energy Efficiency in Buildings, EfficiencySummer Study on Energy Efficiency in Buildings, EfficiencySummer Study on Energy Efficiency in Buildings, Efficiency

  3. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01

    control for active and passive building thermal storage.control for active and passive building thermal storagecontrollers for active and passive building thermal storage

  4. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    whole building energy simulation program. In: IBPSA BuildingExchange Protocols for Energy Simulation of HVAC&R EquipmentInteroperability for Energy Simulation. buildingSmart (2010)

  5. Infiltration modeling guidelines for commercial building energy analysis

    SciTech Connect (OSTI)

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

    2009-09-30

    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.

  6. AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA

    E-Print Network [OSTI]

    Schindler, Konrad

    AUTOMATED MODELING OF 3D BUILDING ROOFS USING IMAGE AND LIDAR DATA N. Demir* , E. Baltsavias, Detection, 3D Modelling ABSTRACT: In this work, an automated approach for 3D building roof modelling of accurate and complete 3D building models with high degree of automation. Aerial images and LiDAR data

  7. Conversion of three-dimensional graphic building models into input data for building energy calculation program 

    E-Print Network [OSTI]

    Hayek, Raja Fares

    1994-01-01

    Building energy use calculation programs require descriptions of the building geometry as well as data relating to climate, materials, occupancy, among other aspects. Powerful micro-computers and sophisticated building ...

  8. Air Dispersion Modeling for Building 3026C/D Demolition

    SciTech Connect (OSTI)

    Ward, Richard C; Sjoreen, Andrea L; Eckerman, Keith F

    2010-06-01

    This report presents estimates of dispersion coefficients and effective dose for potential air dispersion scenarios of uncontrolled releases from Oak Ridge National Laboratory (ORNL) buildings 3026C, 3026D, and 3140 prior to or during the demolition of the 3026 Complex. The Environmental Protection Agency (EPA) AERMOD system1-6 was used to compute these estimates. AERMOD stands for AERMIC Model, where AERMIC is the American Meteorological Society-EPA Regulatory Model Improvement Committee. Five source locations (three in building 3026D and one each in building 3026C and the filter house 3140) and associated source characteristics were determined with the customer. In addition, the area of study was determined and building footprints and intake locations of air-handling systems were obtained. In addition to the air intakes, receptor sites consisting of ground level locations on four polar grids (50 m, 100 m, 200 m, and 500 m) and two intersecting lines of points (50 m separation), corresponding to sidewalks along Central Avenue and Fifth Street. Three years of meteorological data (2006 2008) were used each consisting of three datasets: 1) National Weather Service data; 2) upper air data for the Knoxville-Oak Ridge area; and 3) local weather data from Tower C (10 m, 30 m and 100 m) on the ORNL reservation. Annual average air concentration, highest 1 h average and highest 3 h average air concentrations were computed using AERMOD for the five source locations for the three years of meteorological data. The highest 1 h average air concentrations were converted to dispersion coefficients to characterize the atmospheric dispersion as the customer was interested in the most significant response and the highest 1 h average data reflects the best time-averaged values available from the AERMOD code. Results are presented in tabular and graphical form. The results for dose were obtained using radionuclide activities for each of the buildings provided by the customer.7 Radiation dose was calculated assuming complete release of the building inventory as information was lacking regarding the portion of the building inventory expected to be released. Thus the results are derived using an extremely conservative release as documented in the Preliminary Hazard Screening report.7 To more closely approximate the result of a release, one must estimate the fraction of the total inventory released and multiply the results described above by that fraction. An example of how this calculation is accomplished is provided. Should an actual uncontrolled release occur, the results of this modeling effort could only be used to establish a rough order-of-magnitude for the event.

  9. Experiences of Using Models and Information of Building Automation System in Commissioning 

    E-Print Network [OSTI]

    Keranen, H.; Kalema, T.; Pesonen, A.

    2004-01-01

    Simulation programs are widely used in the design of heating and cooling devices. However, modeling of the whole building with simulation programs is exceptional at least in Finland. We have built and utilized whole building models in a...

  10. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-01-01

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  11. FORTRAN M as a language for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1992-12-31

    FORTRAN M is a small set of extensions to FORTRAN 77 that supports a modular or object-oriented approach to the development of parallel programs. In this paper, I discuss the use of FORTRAN M as a tool for building earth system models on massively parallel computers. I hypothesize that the use of FORTRAN M has software engineering advantages and outline experiments that we are conducting to investigate this hypothesis.

  12. Legal Issues and Risks Associated with Building Information Modeling Technology

    E-Print Network [OSTI]

    Foster, Leon Lewis

    2008-07-22

    International Alliance for Interoperability IFC Industry Foundation Classes IPD Integrated Project Delivery NIBS National Institute of Building Standards NIST National Institute of Standards and Technology VDC Virtual Design and Construction 1 CHAPTER 1... to generate cost and schedule savings. BIM is expected to drive the construction industry towards a ?model based? process and gradually move the industry away from a ?2D Based? process. 1.3 DEFINITION AND CHARACTERISTICS OF BIM BIM is not merely a 3D...

  13. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Introduction

    Broader source: Energy.gov [DOE]

    Introduction to the Utility Program Administrator Business Model, as posted on the Better Buildings Neighborhood Program website.

  14. Building Shape Models from Lousy Data Marcel Luthi, Thomas Albrecht, and Thomas Vetter

    E-Print Network [OSTI]

    Vetter, Thomas

    Building Shape Models from Lousy Data Marcel L¨uthi, Thomas Albrecht, and Thomas Vetter Department information. We propose a method for building a statistical shape model from such "lousy" data sets propose a method for building statistical shape models from data sets which can include incomplete

  15. Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings

    E-Print Network [OSTI]

    Gugercin, Serkan

    Model Reduction for Indoor-Air Behavior in Control Design for Energy-Efficient Buildings Jeff models for the indoor-air environment in control design for energy efficient buildings. In one method by a desire to incorporate models of the indoor-air environment in the design of energy efficient buildings

  16. Developing a Model for Planning and Controlling Production in Small Sized Building Firms Proceedings IGLC `98

    E-Print Network [OSTI]

    Tommelein, Iris D.

    Developing a Model for Planning and Controlling Production in Small Sized Building Firms Proceedings IGLC `98 DEVELOPING A MODEL FOR PLANNING AND CONTROLLING PRODUCTION IN SMALL SIZED BUILDING FIRMS process of a model for planning and controlling production in small sized building companies, as well

  17. Identification of parameters in building concentration dispersion model

    E-Print Network [OSTI]

    Calogine, D; Ndoumbe, S; Rivičre, C; Miranville, F

    2012-01-01

    The aim of this work is to simulate the pollutants transport in buildings. Focusing mainly on the presence of CO2, firstly we resolve the airflow equations for two typical validation cases, the Rao case and the IEA case. These numerical results are compared to the most known software and they are used to evaluate of the evolution of CO2 concentration in the different rooms. In order to obtain the different parameters and filters of the proposed model we use a statistical method based on Bayesian inference. The final comparison of results is coherent but a complementary experimental procedure is necessary to calibrate and refine the model

  18. Scalable Tuning of Building Models to Hourly Data

    SciTech Connect (OSTI)

    Garrett, Aaron; New, Joshua Ryan

    2015-01-01

    Energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Manual tuning requires a skilled professional, is prohibitively expensive for small projects, imperfect, non-repeatable, non-transferable, and not scalable to the dozens of sensor channels that smart meters, smart appliances, and cheap/ubiquitous sensors are beginning to make available today. A scalable, automated methodology is needed to quickly and intelligently calibrate building energy models to all available data, increase the usefulness of those models, and facilitate speed-and-scale penetration of simulation-based capabilities into the marketplace for actualized energy savings. The ``Autotune'' project is a novel, model-agnostic methodology which leverages supercomputing, large simulation ensembles, and big data mining with multiple machine learning algorithms to allow automatic calibration of simulations that match measured experimental data in a way that is deployable on commodity hardware. This paper shares several methodologies employed to reduce the combinatorial complexity to a computationally tractable search problem for hundreds of input parameters. Accuracy metrics are provided which quantify model error to measured data for either monthly or hourly electrical usage from a highly-instrumented, emulated-occupancy research home.

  19. Model building in neural networks with hidden Markov models 

    E-Print Network [OSTI]

    Wynne-Jones, Michael

    This thesis concerns the automatic generation of architectures for neural networks and other pattern recognition models comprising many elements of the same type. The requirement for such models, with automatically ...

  20. Building America - IBACOS

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

    America - IBACOS 2014 Building Technologies Office Peer Review Duncan Prahl, dprahl@ibacos.com IBACOS, Inc. Project Summary Timeline: Start date: January 2013 Planned end date:...

  1. Ergonomic Evaluation for Office Workers Name: Date

    E-Print Network [OSTI]

    Slatton, Clint

    Ergonomic Evaluation for Office Workers Name: Date: Department: Campus Box #: Telephone Number: Fax Number: Building: Room Number: Email Address: Supervisor: Evaluation Date/Time: Symptoms : Respond

  2. Functional Testing Protocols for Commercial Building Efficiency Baseline Modeling Software

    SciTech Connect (OSTI)

    Jump, David; Price, Phillip N.; Granderson, Jessica; Sohn, Michael

    2013-09-06

    This document describes procedures for testing and validating proprietary baseline energy modeling software accuracy in predicting energy use over the period of interest, such as a month or a year. The procedures are designed according to the methodology used for public domain baselining software in another LBNL report that was (like the present report) prepared for Pacific Gas and Electric Company: ?Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing Protocols? (referred to here as the ?Model Analysis Report?). The test procedure focuses on the quality of the software?s predictions rather than on the specific algorithms used to predict energy use. In this way the software vendor is not required to divulge or share proprietary information about how their software works, while enabling stakeholders to assess its performance.

  3. An Instanton Toolbox for F-Theory Model Building

    E-Print Network [OSTI]

    Joseph Marsano; Natalia Saulina; Sakura Schafer-Nameki

    2009-07-23

    Several dimensionful parameters needed for model building can be engineered in a certain class of SU(5) F-theory GUTs by adding extra singlet fields which are localized along pairwise intersections of D7-branes. The values of these parameters, however, depend on dynamics external to the GUT which causes the singlets to acquire suitable masses or expectation values. In this note, we demonstrate that D3-instantons which wrap the same 4-cycle as one of the intersecting D7's can provide precisely the needed dynamics to generate several important scales, including the supersymmetry-breaking scale and the right-handed neutrino mass. Furthermore, these instantons seem unable to directly generate the \\mu term suggesting that, at least in this class of models, it should perhaps be tied to one of the other scales in the problem. More specifically, we study the simple system consisting of a pair of D7-branes wrapping del Pezzo surfaces which intersect along a curve $\\Sigma$ of genus 0 or 1 and classify all instanton configurations which can potentially contribute to the superpotential. This allows one to formulate topological conditions which must be imposed on \\Sigma for various model-building applications. Along the way, we also observe that the construction of arXiv:0808.1286 which engineers a linear superpotential in fact realizes an O'Raifeartaigh model at the KK scale whose 1-loop Coleman-Weinberg potential generically leads to a metastable, long-lived SUSY-breaking vacuum.

  4. Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation

    E-Print Network [OSTI]

    Building Scientific Workflows for Earth System Modelling with Windows Workflow Foundation Matthew J developed a framework for the composition, execution and management of integrated Earth system models

  5. Model Predictive Control for the Operation of Building Cooling Systems

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01

    and passive building thermal storage. International Journalcooling towers, the thermal storage tank and the electricityand passive building thermal storage inventory: Part 1.

  6. Validation of the Window Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,transfer in rooms in the Modelica "Buildings" library. Proc.

  7. Estimation of Building Parameters Using Simplified Energy Balance Model and Metered Whole Building Energy Use 

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01

    This paper presents and evaluates an indirect data-driven method to estimate influential building parameters: air exchange rates and overall heat transfer coefficients of building envelopes from the separately metered energy use for electricity...

  8. Equivalent Static Wind Loads on Buildings: New Model Xinzhong Chen1

    E-Print Network [OSTI]

    Chen, Xinzhong

    Equivalent Static Wind Loads on Buildings: New Model Xinzhong Chen1 and Ahsan Kareem2 Abstract: In current design practice, spatiotemporally varying wind loads on buildings are modeled as equivalent static static wind load for any given peak response of buildings with uncoupled responses in the three primary

  9. Rapid model building of ?-sheets in electron-density maps

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2010-03-01

    A method for rapid model building of ?-sheets at moderate resolution is presented. A method for rapidly building ?-sheets into electron-density maps is presented. ?-Strands are identified as tubes of high density adjacent to and nearly parallel to other tubes of density. The alignment and direction of each strand are identified from the pattern of high density corresponding to carbonyl and C{sup ?} atoms along the strand averaged over all repeats present in the strand. The ?-strands obtained are then assembled into a single atomic model of the ?-sheet regions. The method was tested on a set of 42 experimental electron-density maps at resolutions ranging from 1.5 to 3.8 Ĺ. The ?-sheet regions were nearly completely built in all but two cases, the exceptions being one structure at 2.5 Ĺ resolution in which a third of the residues in ?-sheets were built and a structure at 3.8 Ĺ in which under 10% were built. The overall average r.m.s.d. of main-chain atoms in the residues built using this method compared with refined models of the structures was 1.5 Ĺ.

  10. State-based Modeling of Buildings and Facilities 

    E-Print Network [OSTI]

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

    2011-01-01

    State-Based Modeling of Buildings and Facilities Univ.-Prof. Dr. Ing. M. Norbert Fisch IGS TU Braunschweig http://www.igs.bau.tu-bs.de Dipl.-Inform. Claas Pinkernell synavision GmbH http://www.synavision.de Dipl.-Inform. Markus... Look Software Engineering RWTH Aachen University http://www.se-rwth.de Dipl.-Ing. Architekt Stefan Plesser synavision GmbH http://www.synavision.de Univ.-Prof. Dr. Bernhard Rumpe Software Engineering RWTH Aachen University http...

  11. Efficient Multi-Level Modeling and Monitoring of End-use Energy Profile in Commercial Buildings

    E-Print Network [OSTI]

    Kang, Zhaoyi

    2015-01-01

    buildings”. In: Energy Efficiency 5.2 (2012), pp. 149–162. [Sys- tems for Energy-Efficiency in Buildings. ACM. 2011, pp.Efficient Multi-Level Modeling and Monitoring of End-use

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

    E-Print Network [OSTI]

    Zhao, Jian, 1964-

    1990-01-01

    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 ...

  13. Improved Building Energy Performance Modelling through Comparison of Measured Data with Simulated Results 

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    2008-01-01

    the building and comparing simulated results to the measured data. The simulated building energy performance results achieved in the first stage of computer modelling show a reasonable correlation with measured data, however, further work is required to create...

  14. A Decision-Making Model for the Asian Intelligent Building Index 

    E-Print Network [OSTI]

    Hong, J.; Chen, Z.; Li, H.; Xu, Q.

    2006-01-01

    The paper presents a multi-criteria decision-making model to evaluate the sustainable performances of intelligent buildings based on the Asian IB index, which is recommended by the Asian Institute of Intelligent Buildings. To undertake this task...

  15. FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda

    E-Print Network [OSTI]

    FORTRAN M AS A LANGUAGE FOR BUILDING EARTH SYSTEM MODELS \\Lambda Ian Foster Mathematics as a tool for building earth system models on massively parallel computers. I hypothesize that the use to investigate this hypothe­ sis. 2. Earth System Models An earth system model is a computer code designed

  16. BUILDING ROBUST APPEARANCE MODELS USING ON-LINE FEATURE SELECTION

    SciTech Connect (OSTI)

    PORTER, REID B. [Los Alamos National Laboratory; LOVELAND, ROHAN [Los Alamos National Laboratory; ROSTEN, ED [Los Alamos National Laboratory

    2007-01-29

    In many tracking applications, adapting the target appearance model over time can improve performance. This approach is most popular in high frame rate video applications where latent variables, related to the objects appearance (e.g., orientation and pose), vary slowly from one frame to the next. In these cases the appearance model and the tracking system are tightly integrated, and latent variables are often included as part of the tracking system's dynamic model. In this paper we describe our efforts to track cars in low frame rate data (1 frame/second) acquired from a highly unstable airborne platform. Due to the low frame rate, and poor image quality, the appearance of a particular vehicle varies greatly from one frame to the next. This leads us to a different problem: how can we build the best appearance model from all instances of a vehicle we have seen so far. The best appearance model should maximize the future performance of the tracking system, and maximize the chances of reacquiring the vehicle once it leaves the field of view. We propose an online feature selection approach to this problem and investigate the performance and computational trade-offs with a real-world dataset.

  17. A Study of Building Information Modeling Usage through the Perceived Utilization of Facilities Management Training, Building Information Modeling Technical Specifications, and a Quality Building Information Model for Facilities Management at Higher Educational Institutions in Texas 

    E-Print Network [OSTI]

    Thompson, Darrell

    2014-12-15

    The research for this study investigated the correlation between the perceived usage of Building Information Modeling in Facilities Management and; the perceived training level of the FM personnel, the perceived specification requirement...

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

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

    STANDARD (NBIMS) ON BUILDING ENERGY PERFORMANCE SIMULATIONare pertinent to building energy performance simulation andprobable impact on building energy performance simulation

  19. Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Modeling Zero Energy Building: technical and economical optimization Maria Ferrara1-2 , Joseph by the recast of Energy Performance of Buildings. The aim of this work is to provide a useful method to deal combines the use of TRNSYS, building energy simulation program, with GenOpt, Generic Optimization program

  20. Natural ventilation in buildings : modeling, control and optimization

    E-Print Network [OSTI]

    Ip Kiun Chong, Karine

    2014-01-01

    Natural ventilation in buildings has the potential to reduce the energy consumption usually associated with mechanical cooling while maintaining thermal comfort and air quality. It is important to know how building parameters, ...

  1. Buildings and corporate strategy : towards a management system model

    E-Print Network [OSTI]

    Brana, Rodrigo

    1985-01-01

    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. ...

  2. Modeling National Impacts for the Building America Program

    E-Print Network [OSTI]

    Coughlin, Katie M.; McNeil, Michael A.

    2008-01-01

    build up its energy demand forecasts [1]. Building AmericaEnergy Outlook (AEO), which provides a forecast of energy supply and demanddemand is recalculated each year based on forecast ?oor space growth, e?ciency trends, energy

  3. Rapid model building of ?-helices in electron-density maps

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2010-03-01

    A method for rapid model building of ?-helices at moderate resolution is presented. A method for the identification of ?-helices in electron-density maps at low resolution followed by interpretation at moderate to high resolution is presented. Rapid identification is achieved at low resolution, where ?-helices appear as tubes of density. The positioning and direction of the ?-helices is obtained at moderate to high resolution, where the positions of side chains can be seen. The method was tested on a set of 42 experimental electron-density maps at resolutions ranging from 1.5 to 3.8 Ĺ. An average of 63% of the ?-helical residues in these proteins were built and an average of 76% of the residues built matched helical residues in the refined models of the proteins. The overall average r.m.s.d. between main-chain atoms in the modeled ?-helices and the nearest atom with the same name in the refined models of the proteins was 1.3 Ĺ.

  4. Modeling and Control of AHUs in Building HVAC Systems

    E-Print Network [OSTI]

    Liang, Wei

    2014-01-01

    integration. R and is easily implemented into • The algorithm is based on WebCTRL , building automation systems.

  5. Development of a High-Performance Office Building Simulation Model for a Hot and Humid Climate 

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2009-01-01

    applicable to office buildings in hot and humid climates and to develop a high-performance (maximum energy-efficient) building model that only uses technologies readily available in the contemporary market. The high-performance model showed 48% total... HIGH-PERFORMANCE OFFICE BUILDING SIMULATION MODEL FOR A HOT AND HUMID CLIMATE Soolyeon Cho1 and Jeff S. Haberl2 1The Catholic University of America, Washington, D.C., USA 2Texas A&M University, College Station, TX, USA ABSTRACT...

  6. Duct Thermal Performance Models for Large Commercial Buildings

    E-Print Network [OSTI]

    Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department in the Building Technologies Department were also helpful and supportive of this work, particularly regarding buildings, and the author is grateful for their input. Advice from Michaël Kummert of the Solar Energy

  7. Building Simulation Modelers are we big-data ready?

    SciTech Connect (OSTI)

    Sanyal, Jibonananda; New, Joshua Ryan

    2014-01-01

    Recent advances in computing and sensor technologies have pushed the amount of data we collect or generate to limits previously unheard of. Sub-minute resolution data from dozens of channels is becoming increasingly common and is expected to increase with the prevalence of non-intrusive load monitoring. Experts are running larger building simulation experiments and are faced with an increasingly complex data set to analyze and derive meaningful insight. This paper focuses on the data management challenges that building modeling experts may face in data collected from a large array of sensors, or generated from running a large number of building energy/performance simulations. The paper highlights the technical difficulties that were encountered and overcome in order to run 3.5 million EnergyPlus simulations on supercomputers and generating over 200 TBs of simulation output. This extreme case involved development of technologies and insights that will be beneficial to modelers in the immediate future. The paper discusses different database technologies (including relational databases, columnar storage, and schema-less Hadoop) in order to contrast the advantages and disadvantages of employing each for storage of EnergyPlus output. Scalability, analysis requirements, and the adaptability of these database technologies are discussed. Additionally, unique attributes of EnergyPlus output are highlighted which make data-entry non-trivial for multiple simulations. Practical experience regarding cost-effective strategies for big-data storage is provided. The paper also discusses network performance issues when transferring large amounts of data across a network to different computing devices. Practical issues involving lag, bandwidth, and methods for synchronizing or transferring logical portions of the data are presented. A cornerstone of big-data is its use for analytics; data is useless unless information can be meaningfully derived from it. In addition to technical aspects of managing big data, the paper details design of experiments in anticipation of large volumes of data. The cost of re-reading output into an analysis program is elaborated and analysis techniques that perform analysis in-situ with the simulations as they are run are discussed. The paper concludes with an example and elaboration of the tipping point where it becomes more expensive to store the output than re-running a set of simulations.

  8. MODELING OF HEAT TRANSFER IN ROOMS IN THE MODELICA "BUILDINGS" LIBRARY

    E-Print Network [OSTI]

    MODELING OF HEAT TRANSFER IN ROOMS IN THE MODELICA "BUILDINGS" LIBRARY Michael Wetter, Wangda Zuo describes the implementation of the room heat transfer model in the free open-source Modelica "Buildings the model is de- composed into submodels for the individual heat transfer phenomena. We also discuss

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

    E-Print Network [OSTI]

    Ahmad, Mushtaq

    2005-07-27

    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...

  10. Modeling of Heat Transfer in Rooms in the Modelica Buildings Library

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01

    Multizone Air- flow Model in Modelica. ” Edited by ChristianRecent developments of the Modelica buildings library forof the 8-th International Modelica Conference. Modelica

  11. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Conclusion

    Broader source: Energy.gov [DOE]

    Conclusion of the Utility Program Administrator Business Model Guide, as posted on the U.S. Department of Energy's Better Buildings Neighborhood Program website.

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

    SciTech Connect (OSTI)

    Stetiu, C.

    1993-07-01

    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.

  13. Real-Time Building Energy Modeling, fault Detection and Diagnostic for a DoD Building 

    E-Print Network [OSTI]

    Dong, B.

    2013-01-01

    -12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Introduction • Motivation Source: NBI report 2008 Energy Performance of LEED For New Construction Buildings ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy... performance to help decision making ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Building Facts • Each 150K sf2 Barrack– Compartments, classrooms and cafeteria/galley• Cooling– Two absorption...

  14. Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model 

    E-Print Network [OSTI]

    Reddy, S. N.; Hunn, B. D.; Hood, D. B.

    1994-01-01

    for whole-building electric, cooling, and heating energy use, and were compared with savings calculated using a regression model developed under the LoanSTAR program. Finally, to validate the model, postretrofit DOE-2 results were compared with measured...

  15. Deriving archetype templates for urban building energy models based on measured monthly energy use

    E-Print Network [OSTI]

    Sokol, Julia A. (Julia Alexandrovna)

    2015-01-01

    Interest in urban energy modeling has grown among planners and policy-makers as more and more municipalities set targets for reduction of greenhouse gas emissions. Urban-scale building energy models can help evaluate the ...

  16. HGSYSTEM/UF{sub 6} model enhancements for plume rise and dispersion around buildings, lift-off of buoyant plumes, and robustness of numerical solver

    SciTech Connect (OSTI)

    Hanna, S.R.; Chang, J.C.

    1997-01-01

    The HGSYSTEM/UF{sub 6} model was developed for use in preparing Safety Analysis Reports (SARs) by estimating the consequences of possible accidental releases of UF{sub 6} to the atmosphere at the gaseous diffusion plants (GDPs) located in Portsmouth, Ohio, and Paducah, Kentucky. Although the latter report carries a 1996 date, the work that is described was completed in late 1994. When that report was written, the primary release scenarios of interest were thought to be gas pipeline and liquid tank ruptures over open terrain away from the influence of buildings. However, upon further analysis of possible release scenarios, the developers of the SARs decided it was necessary to also consider accidental releases within buildings. Consequently, during the fall and winter of 1995-96, modules were added to HGSYSTEM/UF{sub 6} to account for flow and dispersion around buildings. The original HGSYSTEM/UF{sub 6} model also contained a preliminary method for accounting for the possible lift-off of ground-based buoyant plumes. An improved model and a new set of wind tunnel data for buoyant plumes trapped in building recirculation cavities have become available that appear to be useful for revising the lift-off algorithm and modifying it for use in recirculation cavities. This improved lift-off model has been incorporated in the updated modules for dispersion around buildings.

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

    E-Print Network [OSTI]

    Goldstein, David Baird

    2011-01-01

    performance of 5 passive buildings. 3a. See Ref. 3a and thewell-performing passive building requires the use of anwork for unmanaged passive buildings; that is, buildings

  18. Creative agencies : a model for building community capacity

    E-Print Network [OSTI]

    Ramaccia, Elizabeth M. (Elizabeth Marie)

    2011-01-01

    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. ...

  19. Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    % of all natural gas produced in the United States thereby contributing 40% of the carbon dioxide emmissions in the United States [17]. The Department of Energy's (DOE) Building Technologies Office (BTO) has

  20. SIMMODEL: A DOMAIN DATA MODEL FOR WHOLE BUILDING ENERGY SIMULATION

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

    of a user interface for the EnergyPlus whole building energy2004) IFC HVAC Interface to EnergyPlus - A Case of Expandedsoftware. Tools such as EnergyPlus and DOE-2 use custom

  1. Interoperability Building Information Modeling and acoustical analysis software - A demonstration of a performing arts hall design process

    E-Print Network [OSTI]

    Kim, Sunyoung; Coffeen, Robert C.; Sanguinetti, Paola

    2013-06-02

    By sharing and managing the database for a building model, Building Information Modeling (BIM) facilitates the design process at less cost. Some of BIM software has capabilities for acoustical analysis, but it is limited to noise level demonstration...

  2. Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings

    E-Print Network [OSTI]

    Baker, Jack W.

    Incorporating modeling uncertainties in the assessment of seismic collapse risk of buildings Abbie Carlo Seismic reliability a b s t r a c t The primary goal of seismic provisions in building codes is to protect life safety through the prevention of structural collapse. To evaluate the extent to which current

  3. Mountain building in Taiwan: A thermokinematic model Martine Simoes,1,2,3

    E-Print Network [OSTI]

    Avouac, Jean-Philippe

    Mountain building in Taiwan: A thermokinematic model Martine Simoes,1,2,3 Jean Philippe Avouac,1, our study sheds new light onto mountain building processes in Taiwan and allows for reappraising the initial structural architecture of the passive margin. Citation: Simoes, M., J. P. Avouac, O. Beyssac, B

  4. Building Evidence for Active Travel: Counting and Modeling Non-motorized Traffic

    E-Print Network [OSTI]

    Bertini, Robert L.

    Building Evidence for Active Travel: Counting and Modeling Non-motorized Traffic #12;Scope of Talk & maintenance · Test hypotheses and build theory #12;Multi-use Trails in Indianapolis #12;Min Max Mean Week Days B MN* Active Infrared MM MN* Passive infrared P, MM MN MM MN Pressure Pads P P, B? Pneumatic tubes B

  5. Fusion of Feature-and Area-Based Information for Urban Buildings Modeling from Aerial Imagery

    E-Print Network [OSTI]

    Giger, Christine

    Fusion of Feature- and Area-Based Information for Urban Buildings Modeling from Aerial Imagery on Graph Cuts. The fusion pro- cess exploits the advantages of both information sources and thus yields the complete geometry of the build- ing. The fusion of those sparse features is very fragile as there is no way

  6. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    SciTech Connect (OSTI)

    Sun, Kaiyu; Yan , Da; Hong , Tianzhen; Guo, Siyue

    2014-02-28

    Overtime is a common phenomenon around the world. Overtime drives both internal heat gains from occupants, lighting and plug-loads, and HVAC operation during overtime periods. Overtime leads to longer occupancy hours and extended operation of building services systems beyond normal working hours, thus overtime impacts total building energy use. Current literature lacks methods to model overtime occupancy because overtime is stochastic in nature and varies by individual occupants and by time. To address this gap in the literature, this study aims to develop a new stochastic model based on the statistical analysis of measured overtime occupancy data from an office building. A binomial distribution is used to represent the total number of occupants working overtime, while an exponential distribution is used to represent the duration of overtime periods. The overtime model is used to generate overtime occupancy schedules as an input to the energy model of a second office building. The measured and simulated cooling energy use during the overtime period is compared in order to validate the overtime model. A hybrid approach to energy model calibration is proposed and tested, which combines ASHRAE Guideline 14 for the calibration of the energy model during normal working hours, and a proposed KS test for the calibration of the energy model during overtime. The developed stochastic overtime model and the hybrid calibration approach can be used in building energy simulations to improve the accuracy of results, and better understand the characteristics of overtime in office buildings.

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

    SciTech Connect (OSTI)

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

    2011-12-01

    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.

  8. Improvements to building energy usage modeling during early design stages and retrofits

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01

    A variety of improvements to the MIT Design Advisor, a whole-building energy usage modeling tool intended for use during early design stages, are investigated. These include changes to the thermal mass temperature distribution ...

  9. Building robust chemical reaction mechanisms : next generation of automatic model construction software

    E-Print Network [OSTI]

    Song, Jing, 1972-

    2004-01-01

    Building proper reaction mechanisms is crucial to model the system dynamic properties for many industrial processes with complex chemical reaction phenomena. Because of the complexity of a reaction mechanism, computer-aided ...

  10. Using Fourier Series to Model Hourly Energy Use in Commercial Buildings 

    E-Print Network [OSTI]

    Dhar, A.; Reddy, T. A.; Claridge, D. E.

    1993-01-01

    Fourier series analysis is eminently suitable for modeling strongly periodic data. Weather independent energy use such as lighting and equipment load in commercial buildings is strongly periodic and is thus appropriate for Fourier series treatment...

  11. Statistical Modeling of Daily Energy Consumption in Commercial Buildings Using Multiple Regression and Principal Component Analysis 

    E-Print Network [OSTI]

    Reddy, T. A.; Claridge, D.; Wu, J.

    1992-01-01

    Statistical models of energy use in commercial buildings are being increasingly used not only for predicting retrofit savings but also for identifying improper operation of HVAC systems. The conventional approach involves using multiple regression...

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

    SciTech Connect (OSTI)

    Oar, D.L.

    1994-09-29

    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.

  13. Modelling Urban scale Retrofit, Pathways to 2050 Low Carbon Residential Building Stock 

    E-Print Network [OSTI]

    Lannon, Simon; Georgakaki, Aliki; Macdonald, Stuart

    A bottom up engineering modelling approach has been used to investigate the pathways to 2050 low carbon residential building stock. The impact of housing retrofit, renewable technologies, occupant behaviour, and grid decarbonisation is measured at a...

  14. Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Department of Energy held a webcast titled "Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce" on Monday, October 22, 2012. The Renewable Energy Competency...

  15. Evaluation of Building Models Ildiko Suveg, George Vosselman

    E-Print Network [OSTI]

    Vosselman, George

    . The strategy presented in this paper uses Geographic Information System (GIS) maps and domain knowledge, evaluation function, mutual information, geometric constraints. Abstract This paper presents a knowledge-based approach for automatic 3D building reconstruction. By combining the aerial image analysis with information

  16. Scalable Tuning of Building Models to Hourly Data Aaron Garretta

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    building energy use by 50% by 2030 compared with a 2010 baseline. Many simulation-based analysis tools to the dozens of sensor channels that smart meters, smart appliances, and sensors are making available-and-scale penetration of simulation-based capabilities into the marketplace for actualized energy savings. The "Autotune

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

    SciTech Connect (OSTI)

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

    2009-07-01

    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.

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

    E-Print Network [OSTI]

    Haszeldine, Stuart

    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

  19. Building Energy Modeling Library - 2013 BTO Peer Review | Department of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:FinancingPetroleum Based Fuels| Department of Energy America:Antonio,BuildingDepartment

  20. Building Energy Code

    Broader source: Energy.gov [DOE]

    Prior to 1997, South Carolina's local governments adopted and enforced the building codes. In 1997, the law required statewide use of the most up-to-date building codes, which then required the...

  1. Experimental Validation of Building Vibration Propagation Using a Four Story Laboratory Model

    E-Print Network [OSTI]

    White, Robert D.

    Experimental Validation of Building Vibration Propagation Using a Four Story Laboratory Model@acentech.com Robert D. White, Assistant Professor, Tufts University, Dept. of Mechanical Engineering, R vibration levels at each floor. Mathematical models of column, beam, and slab elements were developed

  2. User Assisted Modeling of Buildings from Aerial Images* J. Li, R. Nevatia and S. Nornoha

    E-Print Network [OSTI]

    Southern California, University of

    gabled roof. Models can be created by only one or two clicks in many cases. Efficient editing. The approach is designed to be efficient in user time and effort while pre- serving the quality of the models created. Currently our system is able to handle the rectangular buildings with flat roof or symmetric

  3. RESRAD-BUILD: A computer model for analyzing the radiological doses resulting from the remediation and occupancy of buildings contaminated with radioactive material

    SciTech Connect (OSTI)

    Yu, C.; LePoire, D.J.; Jones, L.G. [and others

    1994-11-01

    The RESRAD-BUILD computer code is a pathway analysis model designed to evaluate the potential radiological dose incurred by an individual who works or lives in a building contaminated with radioactive material. The transport of radioactive material inside the building from one compartment to another is calculated with an indoor air quality model. The air quality model considers the transport of radioactive dust particulates and radon progeny due to air exchange, deposition and resuspension, and radioactive decay and ingrowth. A single run of the RESRAD-BUILD code can model a building with up to: three compartments, 10 distinct source geometries, and 10 receptor locations. A shielding material can be specified between each source-receptor pair for external gamma dose calculations. Six exposure pathways are considered in the RESRAD-BUILD code: (1) external exposure directly from the source; (2) external exposure to materials deposited on the floor; (3) external exposure due to air submersion; (4) inhalation of airborne radioactive particulates; (5) inhalation of aerosol indoor radon progeny; and (6) inadvertent ingestion of radioactive material, either directly from the sources or from materials deposited on the surfaces of the building compartments. 4 refs., 23 figs., 4 tabs.

  4. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    2 Building energy performance simulation (BEPS)generation building energy simulation program. Energy Buildwhen using building energy simulation. Build Serv Eng Res

  5. Integrated canopy, building energy and radiosity model for 3D urban design

    E-Print Network [OSTI]

    Burdet, Etienne; Morand, Denis; Diab, Youssef

    2014-01-01

    We present an integrated, three dimensional, model of urban canopy, building energy and radiosity, for early stage urban designs and test it on four urban morphologies. All sub-models share a common descriptions of the urban morphology, similar to 3D urban design master plans and have simple parameters. The canopy model is a multilayer model, with a new discrete layer approach that does not rely on simplified geometry such as canyon or regular arrays. The building energy model is a simplified RC equivalent model, with no hypotheses on internal zoning or wall composition. We use the CitySim software for the radiosity model. We study the effects of convexity, the number of buildings and building height, at constant density and thermal characteristics. Our results suggest that careful three dimensional morphology design can reduce heat demand by a factor of 2, especially by improving insolation of lower levels. The most energy efficient morphology in our simulations has both the highest surface/volume ratio and ...

  6. Modelling Residential-Scale Combustion-Based Cogeneration in Building Simulation

    SciTech Connect (OSTI)

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

    2009-03-01

    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.

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01

    Performance with an EnergyPlus Model in a Low Energy CampusPerformance with an EnergyPlus Model in a Low Energy Campusevents. In this paper, an EnergyPlus model of the building

  8. Energy Systems Laboratory: Building a Model Repository Collection 

    E-Print Network [OSTI]

    Koenig, Jay; Haberl, Jeff S.; Gilman, Don; Hughes, Sherrie

    2008-06-05

    • Metadata • Upload to Repository • Train replacements • Batch Loading • File structure created • Passed to Digital Initiatives The Model Collection • Well Organized • Self-Sufficient • Diverse • Large • Rapidly Growing Video Interview with Jeff Haberl, PhD ...

  9. Improving macromolecular atomic models at moderate resolution by automated iterative model building, statistical density modification and refinement

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-07-01

    A procedure for iterative model-building, statistical density modification and refinement at moderate resolution (up to about 2.8 Ĺ) is described. An iterative process for improving the completeness and quality of atomic models automatically built at moderate resolution (up to about 2.8 Ĺ) is described. The process consists of cycles of model building interspersed with cycles of refinement and combining phase information from the model with experimental phase information (if any) using statistical density modification. The process can lead to substantial improvements in both the accuracy and completeness of the model compared with a single cycle of model building. For eight test cases solved by MAD or SAD at resolutions ranging from 2.0 to 2.8 Ĺ, the fraction of models built and assigned to sequence was 46–91% (mean of 65%) after the first cycle of building and refinement, and 78-95% (mean of 87%) after 20 cycles. In an additional test case, an incorrect model of gene 5 protein (PDB code 2gn5; r.m.s.d. of main-chain atoms from the more recent refined structure 1vqb at 1.56 Ĺ) was rebuilt using only structure-factor amplitude information at varying resolutions from 2.0 to 3.0 Ĺ. Rebuilding was effective at resolutions up to about 2.5 Ĺ. The resulting models had 60-80% of the residues built and an r.m.s.d. of main-chain atoms from the refined structure of 0.20 to 0.62 Ĺ. The algorithm is useful for building preliminary models of macromolecules suitable for an experienced crystallographer to extend, correct and fully refine.

  10. A caveat on building nonlocal models of cosmology

    SciTech Connect (OSTI)

    Tsamis, N.C.; Woodard, R.P. E-mail: woodard@phys.ufl.edu

    2014-09-01

    Nonlocal models of cosmology might derive from graviton loop corrections to the effective field equations from the epoch of primordial inflation. Although the Schwinger-Keldysh formalism would automatically produce causal and conserved effective field equations, the models so far proposed have been purely phenomenological. Two techniques have been employed to generate causal and conserved field equations: either varying an invariant nonlocal effective action and then enforcing causality by the ad hoc replacement of any advanced Green's function with its retarded counterpart, or else introducing causal nonlocality into a general ansatz for the field equations and then enforcing conservation. We point out here that the two techniques access very different classes of models, and that neither one of them may represent what would actually arise from fundamental theory.

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

    SciTech Connect (OSTI)

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

    2011-03-17

    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.

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

    SciTech Connect (OSTI)

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

    2011-03-18

    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.

  13. Analysis of the Impact of Using Improved Multi-Layer Window Models for Code-Compliant Residential Building Energy Simulation in Texas 

    E-Print Network [OSTI]

    Choi, Jong-Hyo

    2014-12-23

    are a crucial building component that affects a building’s heating and cooling energy. Currently, there are two window modeling methods, the Transmittance, Absorptance and Reflectance (TAR) method, and the Multi-Layer Window (MLW) method. MLW method...

  14. Model Simulating Real Domestic Hot Water Use - Building America Top

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX F Wetlandsof Energy Model Repair Specifications

  15. Modeling and Simulation of Human Behavior in Buildings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankADVANCED MANUFACTURING OFFICESpecialAPPENDIX F Wetlandsof Energy Model RepairCladdings:Tianzhen Hong,

  16. Automated main-chain model building by template matching and iterative fragment extension

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-01-01

    A method for automated macromolecular main-chain model building is described. An algorithm for the automated macromolecular model building of polypeptide backbones is described. The procedure is hierarchical. In the initial stages, many overlapping polypeptide fragments are built. In subsequent stages, the fragments are extended and then connected. Identification of the locations of helical and ?-strand regions is carried out by FFT-based template matching. Fragment libraries of helices and ?-strands from refined protein structures are then positioned at the potential locations of helices and strands and the longest segments that fit the electron-density map are chosen. The helices and strands are then extended using fragment libraries consisting of sequences three amino acids long derived from refined protein structures. The resulting segments of polypeptide chain are then connected by choosing those which overlap at two or more C{sup ?} positions. The fully automated procedure has been implemented in RESOLVE and is capable of model building at resolutions as low as 3.5 Ĺ. The algorithm is useful for building a preliminary main-chain model that can serve as a basis for refinement and side-chain addition.

  17. Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy

    E-Print Network [OSTI]

    Stine, Robert A.

    Variable Selection in Data Mining: Building a Predictive Model for Bankruptcy Dean P. Foster and Robert A. Stine Department of Statistics The Wharton School of the University of Pennsylvania consequences of over-fitting (e.g. ?). Many in- teresting problems, particularly classification problems

  18. Segmentation of building models from dense 3D point-clouds Joachim Bauer

    E-Print Network [OSTI]

    Schindler, Konrad

    , Institute for Computer Graphics and Vision, Graz University of Technology {bauer,karner,klausSegmentation of building models from dense 3D point-clouds Joachim Bauer , Konrad Karner , Konrad Schindler , Andreas Klaus , Christopher Zach VRVis Research Center for Virtual Reality and Visualization

  19. Attorneys Interacting with Legal Information Systems: Tools for Mental Model Building and Task Integration

    E-Print Network [OSTI]

    Soergel, Dagobert

    Attorneys Interacting with Legal Information Systems: Tools for Mental Model Building and Task Integration Anita Komlodi Department of Information Systems, UMBC 1000 Hilltop Circle, Baltimore, MD 21250, +1-410-455-3212, komlodi@umbc.edu Dagobert Soergel College of Information Studies, University of Maryland 4105 Hornbake

  20. Towards building an anatomically correct solid eye model with volumetric representation of retinal morphology

    E-Print Network [OSTI]

    Hamann, Bernd

    Towards building an anatomically correct solid eye model with volumetric representation of retinal volumetric retinal morphology) has many applications in the field of ophthalmology, including evaluation of ophthalmic instruments and optometry/ophthalmology training. We present a method that uses volumetric OCT

  1. Hybrid Model for Building Performance Diagnosis and Optimal Control 

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01

    S. (1983). Raising the open U value by passive means. Proc. 8th Nat. Passive Solar Conf. Glorieta, NM, pp.839-842. Bahai H. and Esat I.I. (1994). A hybrid model for analysis of complex stress distribution in threaded connectors. Computers... Research Centre of Finland. Kalogirou SA, Neocleous CC and Schizas CN. (1997). Heating load estimation using artificial neural networks. In: Proc. CLIMA 2000 Conf., Brussels (Belgium). Klein S.A., Beckman W.A. et al. (1994). TRNSYS-A Transient System...

  2. Property:Buildings/ModelTargetType | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformation TotalPropertyModelTargetType

  3. Property:Buildings/ModelXmlFile | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformationModelXmlFile Jump to:

  4. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceIIInformationEnergy InformationInformationModelXmlFile Jump

  5. Building a Statistical Model toBuilding a Statistical Model to Predict Reactor TemperaturesPredict Reactor Temperatures

    E-Print Network [OSTI]

    Scarrott, Carl

    ENGXT +++= )F( ­ Temperature at Channel (i,j) ­ Fuel Irradiation for Channel (r,s) ­ Direct and Neutron(.)?How to Model F(.)? l Effect of Fuel Irradiation on Temperatures l Direct Non-Linear Effect l Neutron Diffusion Region Cold Outer Region l Similar Behaviour ­ Sharp Increase ­ Constant l Weak Relationship l Scatter

  6. Automated side-chain model building and sequence assignment by template matching

    SciTech Connect (OSTI)

    Terwilliger, Thomas C., E-mail: terwilliger@lanl.gov [Mail Stop M888, Los Alamos National Laboratory, Los Alamos, NM 87545 (United States)

    2003-01-01

    A method for automated macromolecular side-chain model building and for aligning the sequence to the map is described. An algorithm is described for automated building of side chains in an electron-density map once a main-chain model is built and for alignment of the protein sequence to the map. The procedure is based on a comparison of electron density at the expected side-chain positions with electron-density templates. The templates are constructed from average amino-acid side-chain densities in 574 refined protein structures. For each contiguous segment of main chain, a matrix with entries corresponding to an estimate of the probability that each of the 20 amino acids is located at each position of the main-chain model is obtained. The probability that this segment corresponds to each possible alignment with the sequence of the protein is estimated using a Bayesian approach and high-confidence matches are kept. Once side-chain identities are determined, the most probable rotamer for each side chain is built into the model. The automated procedure has been implemented in the RESOLVE software. Combined with automated main-chain model building, the procedure produces a preliminary model suitable for refinement and extension by an experienced crystallographer.

  7. ESPRE 2. 1 engineering model: Simplified energy analysis methods for residential buildings

    SciTech Connect (OSTI)

    Merriam, R.L. (Little (Arthur D.), Inc., Cambridge, MA (United States))

    1992-08-01

    The design and operation of ESPRE (EPRI Simplified Program for Residential Energy) are described in this engineering manual. ESPRE, which is implemented in MS-DOS, carries out hourly simulations of thermal loads and energy use for space conditioning and water heating in residential buildings. The program design objectives are summarized and the model limitations and strengths are described. Fundamental assumptions underlying the program are specified. Explanation of the overall program structure provides a basis for outlining specific approaches to determination of the hourly building loads and energy use and water heater performance. The important elements of the building loads analysis are described in detail, including the interactions of the heat tow and the equipment behavior. Algorithms for the individual thermal load components are shown. A number of residential system options for heating and cooling the building are available with the model. Parameters considered by the equipment models are described. Interactions between the water heater and space conditioning equipment are considered. The purpose of the documentation is to enhance an understanding of the program to facilitate its proper use. As with any program, the accuracy of the analysis will depend on its proper use.

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

    E-Print Network [OSTI]

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

    2012-01-01

    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...

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

    E-Print Network [OSTI]

    Wang, J.; Claridge, D. E.

    1998-01-01

    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...

  10. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    representa- tions of building data or statistical indices.c information such as building data, occupancy schedules,of complex measured building data into relatively few input

  11. Stochastic Modeling of Overtime Occupancy and Its Application in Building Energy Simulation and Calibration

    E-Print Network [OSTI]

    Sun, Kaiyu

    2014-01-01

    Calibrated building energy simulation and its application inparameters in energy simulation of office buildings. EnergyApplication in Building Energy Simulation and Calibration

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-04-07

    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.

  13. Dates Fact Sheet.cdr

    Energy Savers [EERE]

    detection with multiple detection algorithms, including model- based and flow anomaly detection and cross-site attack correlation. The DATES detection and SIEM...

  14. Model building with the non-supersymmetric heterotic SO(16)xSO(16) string

    E-Print Network [OSTI]

    Stefan Groot Nibbelink

    2015-02-12

    In this talk we review recent investigations of the non-supersymmetric heterotic SO(16)xSO(16) string on orbifolds and smooth Calabi-Yaus. Using such supersymmetry preserving backgrounds allows one to re-employ commonly known model building techniques. We will argue that tachyons do not appear on smooth Calabi-Yaus to leading order in alpha' and g_s. Twisted tachyons may arise on singular orbifolds, where some of these approximations break down. However, they get lifted in full blow-up. Finally, we show that model searches is viable by identifying over 12,000 of SM-like models on various orbifold geometries.

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

    E-Print Network [OSTI]

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

    2001-01-01

    Study on Energy Efficiency in Buildings, American CouncilSummer Study on Energy Efficiency in Buildings, Volume 3,

  16. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

    U.S. Department of Energy Better Buildings Neighborhood Program: Business Models Guide, October 27, 2011.

  17. Motivation Overview Automatic Segmentation Algorithm Building Colour Models Volumetric Graph-Cut Results Conclusion Automatic 3D Object Segmentation in Multiple

    E-Print Network [OSTI]

    Esteban, Carlos Hernández

    Motivation Overview Automatic Segmentation Algorithm Building Colour Models Volumetric Graph Segmentation in Multiple Views using Volumetric Graph-Cuts #12;Motivation Overview Automatic Segmentation Algorithm Building Colour Models Volumetric Graph-Cut Results Conclusion Motivation Neill Campbell, George

  18. Study of Possible Applications of Currently Available Building Information Modeling Tools for the Analysis of Initial Costs and Energy Costs for Performing Life Cycle Cost Analysis 

    E-Print Network [OSTI]

    Mukherji, Payal Tapandev

    2011-02-22

    forms the core, it has become necessary to use computer building models for examining these changes. The building modeling softwares are enumerated. The case studies have highlighted that the evaluation of the alternatives are primarily to achieve energy...

  19. Quantum control and the challenge of non-Hermitian model-building

    E-Print Network [OSTI]

    Miloslav Znojil

    2015-04-13

    In the context of traditional quantum-control considerations it is conjectured that one of the promising new strategies of the constructive model building could be sought in a non-stationary upgrade of the formalism of PT-symmetric quantum mechanics. This upgrade is briefly reviewed and characterized by the simultaneous participation of a triplet of Hilbert spaces in the representation of a single quantum system.

  20. Building accurate initial models using gain functions for waveform inversion in the Laplace domain

    E-Print Network [OSTI]

    Wansoo Ha; Changsoo Shin

    2014-08-20

    We suggest an initial model building technique using time gain functions in the Laplace domain. Applying the gain expressed as a power of time is equivalent to taking the partial derivative of the Laplace-domain wavefield with respect to a damping constant. We construct an objective function, which minimizes the logarithmic differences between the gained field data and the partial derivative of the modeled data with respect to the damping constant. We calculate the modeled wavefield, the partial derivative wavefield, and the gradient direction in the Laplace domain using the analytic Green's function starting from a constant velocity model. This is an efficient method to generate an accurate initial model for a following Laplace-domain inversion. Numerical examples using two marine field datasets confirm that a starting model updated once from a scratch using the gradient direction calculated with the proposed method can be successfully used for a subsequent Laplace-domain inversion.

  1. 3-100.1 Building Evacuation 1 Building Evacuation

    E-Print Network [OSTI]

    Hua, Kien A.

    3-100.1 Building Evacuation 1 SUBJECT: Building Evacuation Effective Date: 10-20-10 Policy Number and Safety APPLICABILITY/ACCOUNTABILITY: This policy applies to all individuals in all buildings on all University of Central Florida campuses. BACKGROUND INFORMATION: University buildings occasionally need

  2. Data Collection Handbook to Support Modeling Impacts of Radioactive Material in Soil and Building Structures

    SciTech Connect (OSTI)

    Yu, Charley; Kamboj, Sunita; Wang, Cheng; Cheng, Jing-Jy

    2015-09-01

    This handbook is an update of the 1993 version of the Data Collection Handbook and the Radionuclide Transfer Factors Report to support modeling the impact of radioactive material in soil. Many new parameters have been added to the RESRAD Family of Codes, and new measurement methodologies are available. A detailed review of available parameter databases was conducted in preparation of this new handbook. This handbook is a companion document to the user manuals when using the RESRAD (onsite) and RESRAD-OFFSITE code. It can also be used for RESRAD-BUILD code because some of the building-related parameters are included in this handbook. The RESRAD (onsite) has been developed for implementing U.S. Department of Energy Residual Radioactive Material Guidelines. Hydrogeological, meteorological, geochemical, geometrical (size, area, depth), crops and livestock, human intake, source characteristic, and building characteristic parameters are used in the RESRAD (onsite) code. The RESRAD-OFFSITE code is an extension of the RESRAD (onsite) code and can also model the transport of radionuclides to locations outside the footprint of the primary contamination. This handbook discusses parameter definitions, typical ranges, variations, and measurement methodologies. It also provides references for sources of additional information. Although this handbook was developed primarily to support the application of RESRAD Family of Codes, the discussions and values are valid for use of other pathway analysis models and codes.

  3. A model for thermally driven heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.; Otis, D.R.

    1985-01-01

    A model for transient interzone heat and air flow transport in passive solar buildings is presented incorporating wall boundary layers in stratified zones, and with interzone transport via apertures (doors and windows). The model includes features that have been observed in measurements taken in more than a dozen passive solar buildings. The model includes integral formulations of the laminar and turbulent boundary layer equations for the vertical walls which are then coupled to a one-dimensional core model for each zone. The cores in each zone exchange mass and energy through apertures that are modeled by an orifice type equation. The procedure is transient in that time dependence is retained only in the core equations which are solved by an explicit method. The model predicts room stratification of about 2/sup 0/C/m (1.1/sup 0/F/ft) for a room-to-room temperature difference of 0.56/sup 0/C(1/sup 0/F) which is in general agreement with the data.

  4. Model for thermally driven heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.; Otis, D.R.

    1985-01-01

    A model for transient interzone heat and air flow transport in passive solar buildings is presented incorporating wall boundary layers in stratified zones, and with interzone transport via apertures (doors and windows). The model includes features that have been observed in measurements taken in more than a dozen passive solar buildings. The model includes integral formulations of the laminar and turbulent boundary layer equations for the vertical walls which are then coupled to a one-dimensional core model for each zone. The cores in each zone exchange mass and energy through apertures that are modeled by an orifice type equation. The procedure is transient in that time dependence is retained only in the core equations which are solved by an explicit method. The model predicts room stratification of about 2/sup 0/C/m (1.1/sup 0/F/ft) for a room-to-room temperature difference of 0.56/sup 0/C(1/sup 0/F) which is in general agreement with the data. 38 references, 10 figures, 1 table.

  5. Model-Building with Interpolated Temporal Data R I (Bob) McKay*, Hoang Tuan Hao*, Naoki Mori *, Nguyen Xuan Hoai*,

    E-Print Network [OSTI]

    Fernandez, Thomas

    Page 1 Model-Building with Interpolated Temporal Data R I (Bob) McKay*, Hoang Tuan Hao*, Naoki Mori, and build a model from the interpolated data. However this process introduces an unquantified risk is fraught with danger if the interpolated data is then used for model-building. In this circumstance, we

  6. How To Build Enterprise Data Models To Achieve Compliance To Standards Or Regulatory Requirements (and share data).

    E-Print Network [OSTI]

    Fox, Mark S.

    How To Build Enterprise Data Models To Achieve Compliance To Standards Or Regulatory Requirements models at their core. In an ontology-based enterprise model, business rules and definitions-Oxley, inference constitutes a model-based proof of compliance. In this paper, we detail the development

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

    SciTech Connect (OSTI)

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

    2011-03-01

    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.

  8. The 1,000 dollar home : a scalable business model to build disaster relief dwellings and upgrade slums

    E-Print Network [OSTI]

    Cańzio, Luis (Del Cańzio)

    2006-01-01

    This thesis proposes a new model for the private markets to build disaster relief dwellings or to upgrade degraded neighborhoods of very low income communities. The study offers a way to empower the dwellers of very poor ...

  9. Biological Learning and Control: Shadmehr and Mussa-Ivaldi 1 9 Building generative models: structural learning, and

    E-Print Network [OSTI]

    Shadmehr, Reza

    Biological Learning and Control: Shadmehr and Mussa-Ivaldi 1 9 Building generative models as a function of time (passive dynamics), and as a function of the input (active dynamics). What's more

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    Physical Modeling with Modelica. Kluwer Academic Publisher,Using SPARK as a solver for modelica. In Proc. of SimBuild,Proceedings of the 2nd Modelica conference, pages 55–1 – 55–

  11. A Methodology to Develop Monthly Energy Use Models From Utility Billing Data For Seasonally Scheduled Buildings: Application to Schools 

    E-Print Network [OSTI]

    Wang, W.

    1998-01-01

    TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A Thesis by WENYAN WANG Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements... for the degree of MASTER OF SCIENCE December 1998 Major Subject: Mechanical Engineering A METHODOLOGY TO DEVELOP MONTHLY ENERGY USE MODELS FROM UTILITY BILLING DATA FOR SEASONALLY SCHEDULED BUILDINGS: APPLICATION TO SCHOOLS A Thesis by WENYAN WANG Submitted...

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

    E-Print Network [OSTI]

    Street, Michael A. (Michael Anthony)

    2013-01-01

    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 ...

  13. A review of methods to match building energy simulation models to measured data

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

    for viewing building energy data: Part II. J Sol Energy Engfor viewing building energy data: Part I. J Sol Energy Engindices for building energy data [M.S. thesis]. Texas A&M

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

    E-Print Network [OSTI]

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

    1998-01-01

    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 ...

  15. College of Engineering General Inspection Report Date:__________________Room#:______________ Inspector:____________________

    E-Print Network [OSTI]

    Saskatchewan, University of

    College of Engineering General Inspection Report DateFlammable:___________Flammable:______________ Corrosive:________Toxic:_________Oxidizer:__________ 11) No propane stored in building 12) Greasy

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

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    for Energy-Efficiency in Building (BuildSys 2010). Permission to make digital or hard copies of part or all

  17. Modeling and Optimal Control Algorithm Design for HVAC Systems in Energy Efficient Buildings

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01

    Litz. Simulation of thermal building behaviour in modelica.of the 2nd International Modelica Conference, volume 154.building behaviour using Modelica. Mathematical and Computer

  18. Validation and Application of the Room Model of the Modelica Buildings Library

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

    Recent developments of the Modelica buildings library forthe 8th International Modelica Conference. Dresden, Germany,Transfer in Rooms in the Modelica "Buildings" Library," in

  19. Model Predictive Control of Regulation Services from Commercial Buildings to the Smart Grid

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01

    Services from Commercial Buildings to the Smart Grid Mehdicommercial building hvac fan as ancillary service for smartbuildings flexibility can be utilized for frequency regulation provision in the smart

  20. Data gathering to build and validate small-scale social models for simulation. Two ways: strict control and stake-holders involvement

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Data gathering to build and validate small-scale social models for simulation. Two ways: strict. Nowadays, it has become a norm to assess results with actually comparable data and to build the hypothesis for the right use of empirical data in the building of models (Moss and Edmonds, 2005). In this paper, we focus

  1. This course teaches essential methods, algorithms, and data models for building geospatial software. Students are introduced to raster and

    E-Print Network [OSTI]

    Jenny, Bernhard

    This course teaches essential methods, algorithms, and data models for building geospatial software. Students are introduced to raster and vector data models and algorithms for the manipulation of this course, algorithms for modeling, analyzing and visualizing geographic informa- tion are discussed

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

    E-Print Network [OSTI]

    Wang, Jinrong

    1996-01-01

    -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...

  3. Computer Modeling VRF Heat Pumps in Commercial Buildings using EnergyPlus

    SciTech Connect (OSTI)

    Raustad, Richard

    2013-06-01

    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.

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

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01

    , Proceedings of the ACEEE 1988 Summer Study on Energy Efficiency in Buildings, 10, 14-26. Balcomb, J.D., Burch, J.D., Subbarao, K., 1993. Short-term energy monitoring of residences, ASHRAE Transactions, 99 (2): 935-944. Balcomb, J.D., Burch, J.D...-259. Sorooshian, S., Gupta, V.K., 1983. Automatic calibration of conceptual rainfall-runoff models - the question of parameter observability and uniqueness, Water Resources Res., 19 (1): 260- 268. Subbarao, K., Burch, J., Hancock, C.E., Lekov, A., Balcomb, J.D...

  5. Big Questions: The Ultimate Building Blocks of Matter

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-07

    The Standard Model of particle physics treats quarks and leptons as having no size at all. Quarks are found inside protons and neutrons and the most familiar lepton is the electron. While the best measurements to date support that idea, there is circumstantial evidence that suggests that perhaps the these tiny particles might be composed of even smaller building blocks. This video explains this circumstantial evidence and introduces some very basic ideas of what those building blocks might be.

  6. 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]

    Katipamula, S.; Claridge, D. E.

    1991-01-01

    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...

  7. Commercial Building Energy Baseline Modeling Software: Performance Metrics and Method Testing with Open Source Models and Implications for Proprietary Software Testing

    SciTech Connect (OSTI)

    Price, Phillip N.; Granderson, Jessica; Sohn, Michael; Addy, Nathan; Jump, David

    2013-09-01

    The overarching goal of this work is to advance the capabilities of technology evaluators in evaluating the building-level baseline modeling capabilities of Energy Management and Information System (EMIS) software. Through their customer engagement platforms and products, EMIS software products have the potential to produce whole-building energy savings through multiple strategies: building system operation improvements, equipment efficiency upgrades and replacements, and inducement of behavioral change among the occupants and operations personnel. Some offerings may also automate the quantification of whole-building energy savings, relative to a baseline period, using empirical models that relate energy consumption to key influencing parameters, such as ambient weather conditions and building operation schedule. These automated baseline models can be used to streamline the whole-building measurement and verification (M&V) process, and therefore are of critical importance in the context of multi-measure whole-building focused utility efficiency programs. This report documents the findings of a study that was conducted to begin answering critical questions regarding quantification of savings at the whole-building level, and the use of automated and commercial software tools. To evaluate the modeling capabilities of EMIS software particular to the use case of whole-building savings estimation, four research questions were addressed: 1. What is a general methodology that can be used to evaluate baseline model performance, both in terms of a) overall robustness, and b) relative to other models? 2. How can that general methodology be applied to evaluate proprietary models that are embedded in commercial EMIS tools? How might one handle practical issues associated with data security, intellectual property, appropriate testing ‘blinds’, and large data sets? 3. How can buildings be pre-screened to identify those that are the most model-predictable, and therefore those whose savings can be calculated with least error? 4. What is the state of public domain models, that is, how well do they perform, and what are the associated implications for whole-building measurement and verification (M&V)? Additional project objectives that were addressed as part of this study include: (1) clarification of the use cases and conditions for baseline modeling performance metrics, benchmarks and evaluation criteria, (2) providing guidance for determining customer suitability for baseline modeling, (3) describing the portfolio level effects of baseline model estimation errors, (4) informing PG&E’s development of EMIS technology product specifications, and (5) providing the analytical foundation for future studies about baseline modeling and saving effects of EMIS technologies. A final objective of this project was to demonstrate the application of the methodology, performance metrics, and test protocols with participating EMIS product vendors.

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

    SciTech Connect (OSTI)

    Dudley, Junqiao Han; Black, Doug; Apte, Mike; Piette, Mary Ann; Berkeley, Pam

    2010-05-14

    We have studied a low energy building on a campus of the University of California. It has efficient heating, ventilation, and air conditioning (HVAC) systems, consisting of a dual-fan/dual-duct variable air volume (VAV) system. As a major building on the campus, it was included in two demand response (DR) events in the summers of 2008 and 2009. With chilled water supplied by thermal energy storage in the central plant, cooling fans played a critical role during DR events. In this paper, an EnergyPlus model of the building was developed and calibrated. We compared both whole-building and HVAC fan energy consumption with model predictions to understand why demand savings in 2009 were much lower than in 2008. We also used model simulations of the study building to assess pre-cooling, a strategy that has been shown to improve demand saving and thermal comfort in many types of building. This study indicates a properly calibrated EnergyPlus model can reasonably predict demand savings from DR events and can be useful for designing or optimizing DR strategies.

  9. Modeling to predict positive pressurization required to control mold growth from infiltration in a building in College Station, Texas 

    E-Print Network [OSTI]

    Claridge,D.; Chen,W.J

    2014-01-01

    -IC-14-09-27a Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 Outline • Prevention of Mold growth • Modeling Building Infiltration • Results, Discussion and Conclusions ESL-IC-14...-09-27a Proceedings of the 14th International Conference for Enhanced Building Operations, Beijing, China, September 14-17, 2014 Prevention of Mold Growth • Battle of dry time and wet time 0 24 Bathroom Door Closed Bathroom Door Open Exhaust Fan On Daily...

  10. Chemical Storage Map Building: Room: Date

    E-Print Network [OSTI]

    & Eyewash Free-Standing Cabinet Fume Hood Natural Gas Outlet Gas Cylinder Floor-Standing Equipment Hazards shown on the right side of the map template. d. Label natural gas outlets with the symbol shown Refrigerator and/or Freezer 2.2 Non Toxic/Flam Gases 1 cu ft 2.3 Toxic gases 1 cu ft 3 Flammable Liquid 5 gals

  11. Better Buildings Neighborhood Program Business Models Guide: Contractor/Retailer Business Models

    Office of Energy Efficiency and Renewable Energy (EERE)

    Business models information focused on remodelers, HVAC (heating, ventilation, and air conditioning) contractors, home performance contractors, or retailers.

  12. Better Buildings Neighborhood Program Business Models Guide: Home Performance Contractor Business Model

    Broader source: Energy.gov [DOE]

    The home performance contractor model walks through the “one-stop-shop” model for home energy upgrades. It illustrates both the opportunities and barriers for starting as a home performance contractor company from the beginning, rather than expanding from an existing model, such as a remodeler.

  13. The Elusive Present: Hidden Past and Future Dependency and Why We Build Models

    E-Print Network [OSTI]

    Pooneh M. Ara; Ryan G. James; James P. Crutchfield

    2015-07-02

    Modeling a temporal process as if it is Markovian assumes the present encodes all of the process's history. When this occurs, the present captures all of the dependency between past and future. We recently showed that if one randomly samples in the space of structured processes, this is almost never the case. So, how does the Markov failure come about? That is, how do individual measurements fail to encode the past? And, how many are needed to capture dependencies between the past and future? Here, we investigate how much information can be shared between the past and future, but not be reflected in the present. We quantify this elusive information, give explicit calculational methods, and draw out the consequences. The most important of which is that when the present hides past-future dependency we must move beyond sequence-based statistics and build state-based models.

  14. ghMulti-Level Approach for Model-Based Predictive Control (MPC) in Buildings: A Preliminary Overview 

    E-Print Network [OSTI]

    Candanedo, J. A.; Dehkordi, V. R.

    2013-01-01

    Model-based predictive control (MPC) has emerged in recent years as a promising approach to building operation. MPC uses models of the system(s) under control -and knowledge about future disturbances- to select an optimal set of actions. Despite its...

  15. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    improve building energy simulation in  an  urban context, 38] J.A.  Clarke, Energy Simulation in Building Design, J.  Neymark, Building Energy Simulation Test (BESTEST) and 

  16. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    An experimental study, Energy and Buildings 43 (2011) 573?and  nthropogenic heat, Energy and  Buildings 25 (1997) 99?in  an  urban context, Energy and Buildings 43 (2011) 1549?

  17. Occupancy Modeling and Prediction for Building Energy Management VARICK L. ERICKSON, University of California, Merced

    E-Print Network [OSTI]

    Carreira-Perpińán, Miguel Á.

    control strategy," in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy-Efficiency in Building (BuildSys 2010). This material is based upon work partially supported by the National Science

  18. Modeling VOC sorption of building materials and its impact on indoor air quality

    E-Print Network [OSTI]

    Zhang, Jinsong, 1975-

    2001-01-01

    Sorption of volatile organic compounds (VOCs) by building materials can have significant effect on the indoor VOC concentration levels and indoor air quality in buildings. The objective of this study was to investigate ...

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

    E-Print Network [OSTI]

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

    2006-01-01

    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...

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

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01

    apps1.eere.energy.gov/buildings/energyplus/ [Internet] [building for CZ03 in EnergyPlus v7.0 under 2 different heatassistance in learning EnergyPlus, which could not have been

  1. Tools for macromolecular model building and refinement into electron cryo-microscopy reconstructions

    SciTech Connect (OSTI)

    Brown, Alan; Long, Fei; Nicholls, Robert A.; Toots, Jaan; Emsley, Paul; Murshudov, Garib, E-mail: garib@mrc-lmb.cam.ac.uk [MRC Laboratory of Molecular Biology, Francis Crick Avenue, Cambridge CB2 0QH (United Kingdom)

    2015-01-01

    A description is given of new tools to facilitate model building and refinement into electron cryo-microscopy reconstructions. The recent rapid development of single-particle electron cryo-microscopy (cryo-EM) now allows structures to be solved by this method at resolutions close to 3 Ĺ. Here, a number of tools to facilitate the interpretation of EM reconstructions with stereochemically reasonable all-atom models are described. The BALBES database has been repurposed as a tool for identifying protein folds from density maps. Modifications to Coot, including new Jiggle Fit and morphing tools and improved handling of nucleic acids, enhance its functionality for interpreting EM maps. REFMAC has been modified for optimal fitting of atomic models into EM maps. As external structural information can enhance the reliability of the derived atomic models, stabilize refinement and reduce overfitting, ProSMART has been extended to generate interatomic distance restraints from nucleic acid reference structures, and a new tool, LIBG, has been developed to generate nucleic acid base-pair and parallel-plane restraints. Furthermore, restraint generation has been integrated with visualization and editing in Coot, and these restraints have been applied to both real-space refinement in Coot and reciprocal-space refinement in REFMAC.

  2. Modeling the Air Flow in the 3410 Building Filtered Exhaust Stack System

    SciTech Connect (OSTI)

    Recknagle, Kurtis P.; Barnett, J. M.; Suffield, Sarah R.

    2013-01-23

    Additional ventilation capacity has been designed for the 3410 Building filtered exhaust stack system. The updated system will increase the number of fans from two to three and will include ductwork to incorporate the new fan into the existing stack. Stack operations will involve running various two-fan combinations at any given time. The air monitoring system of the existing two-fan stack was previously found to be in compliance with the ANSI/HPS N13.1-1999 standard, however it is not known if the modified (three-fan) system will comply. Subsequently, a full-scale three-dimensional (3-D) computational fluid dynamics (CFD) model of the modified stack system has been created to examine the sampling location for compliance with the standard. The CFD modeling results show good agreement with testing data collected from the existing 3410 Building stack and suggest that velocity uniformity and flow angles will remain well within acceptance criteria when the third fan and associated ductwork is installed. This includes two-fan flow rates up to 31,840 cfm for any of the two-fan combinations. For simulation cases in which tracer gas and particles are introduced in the main duct, the model predicts that both particle and tracer gas coefficients of variance (COVs) may be larger than the acceptable 20 percent criterion of the ANSI/HPS N13.1-1999 standard for each of the two-fan, 31,840 cfm combinations. Simulations in which the tracers are introduced near the fans result in improved, though marginally acceptable, COV values for the tracers. Due to the remaining uncertainty that the stack will qualify with the addition of the third fan and high flow rates, a stationary air blender from Blender Products, Inc. is considered for inclusion in the stack system. A model of the air blender has been developed and incorporated into the CFD model. Simulation results from the CFD model that includes the air blender show striking improvements in tracer gas mixing and tracer particle dispersion. The results of these simulations suggest the air blender should be included in the stack system to ensure qualification of the stack.

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

    SciTech Connect (OSTI)

    Kavousian, A; Rajagopal, R

    2014-01-01

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

  4. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Market

    Broader source: Energy.gov [DOE]

    Utility Program Administrator Market, as posted on the U.S. Department of Energy's Better Buildings Neighborhood Program website.

  5. Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Business Model

    Broader source: Energy.gov [DOE]

    The following sections focus on the five core components of a utility’s business model, highlighting the critical elements of how utilities function within the market and how other organizations within the market can best collaborate with them.

  6. Building model generation project : generating a model of the MIT campus terrain

    E-Print Network [OSTI]

    Kulikov, Vitaliy Y. (Vitaliy Yurievich), 1981-

    2004-01-01

    Possession of a complete, automatically generated and frequently updated model of the MIT campus leads the way to many valuable applications, ranging from three-dimensional navigation to virtual tours. In this thesis, we ...

  7. How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite element model

    E-Print Network [OSTI]

    Liu, Mian

    How does trench coupling lead to mountain building in the Subandes? A viscoelastoplastic finite cause of the Andean mountain building. The present-day crustal shortening in the Andes is clear from the cyclic trench coupling leads to long-term mountain building, which has been concentrated in the Subandes

  8. Building Modeling and Simulation, Instructor Michael Bobker Spring 2014 General Syllabus (subject to refinement/updating)

    E-Print Network [OSTI]

    Wolberg, George

    and engineers. Curriculum will cover basic building systems, how they use energy, and how their performance can (Seminar and LAB) 3 Credits Instructor: Michael Bobker, Director, Building Performance Lab of the CUNY understanding of, and applied practice in building performance simulation. This emerging field utilizes

  9. From coronal observations to MHD simulations, the building blocks for 3D models of solar flares

    E-Print Network [OSTI]

    Janvier, Miho; Demoulin, Pascal

    2015-01-01

    Solar flares are energetic events taking place in the Sun's atmosphere, and their effects can greatly impact the environment of the surrounding planets. In particular, eruptive flares, as opposed to confined flares, launch coronal mass ejections into the interplanetary medium, and as such, are one of the main drivers of space weather. After briefly reviewing the main characteristics of solar flares, we summarize the processes that can account for the build up and release of energy during their evolution. In particular, we focus on the development of recent 3D numerical simulations that explain many of the observed flare features. These simulations can also provide predictions of the dynamical evolution of coronal and photospheric magnetic field. Here we present a few observational examples that, together with numerical modelling, point to the underlying physical mechanisms of the eruptions.

  10. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

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

    2013-09-01

    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.

  11. Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation

    SciTech Connect (OSTI)

    and Ben Polly, Joseph Robertson; Polly, Ben; Collis, Jon

    2013-09-01

    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.

  12. Building Long-Term Sustained Capacity and Influencing Decisions: The U.S. DOE SEP Capacity Model

    SciTech Connect (OSTI)

    McCarthy, Patrick [TecMarket Works; Hall, Nick [TecMarket Works; Schweitzer, Martin [ORNL; Lambert, Faith [U.S. Department of Energy

    2011-01-01

    This paper presents a state-level systems model that incorporates traditional behavior change models into a more extensive framework for explaining energy efficiency and renewable energy impacts. The model was developed from a seminal national study of state energy programs covering a broad array of programmatic topic areas. The study examined a wide range of program offerings within 24 states, involving over 25 years of state efforts. While specific priorities and outcomes varied greatly across the states for each of the topic areas, consistent systems-level capacity-building patterns were revealed. This model demonstrates how the U.S. Department of Energy s (DOE s) State Energy Program (SEP) and non-SEP resources, when incorporated into a framework of essential capacity-building components, can lead to energy efficiency and renewable energy achievements. This paper then features two case study illustrations of the model.

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-02-12

    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.

  14. Real-time drill monitoring and control using building information models augmented with 3D imaging data

    E-Print Network [OSTI]

    Kamat, Vineet R.

    Real-time drill monitoring and control using building information models augmented with 3D imaging and incorporating point cloud data obtained from 3D imaging technologies1 into the drilling process in was de bridge deck. Once the point clouds were processed, zones which are safe for drilling were automatically

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

    E-Print Network [OSTI]

    Koprinska, Irena

    to building a single yearly model. I. INTRODUCTION PREDICTING the future electricity demand, also called 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

  16. Soil Dynamics and Earthquake Engineering 26 (2006) 694707 Plain strain soilstructure interaction model for a building supported by

    E-Print Network [OSTI]

    Southern California, University of

    2006-01-01

    Soil Dynamics and Earthquake Engineering 26 (2006) 694­707 Plain strain soil­structure interaction, CA 90089-2531, USA Accepted 3 January 2006 Abstract A simple theoretical model for soil­structure interaction in water saturated poroelastic soils is presented, developed to explore if the apparent building­foundation­soil

  17. Description and preliminary validation of a model for natural convection heat and air transport in passive solar buildings

    SciTech Connect (OSTI)

    Jones, G.F.; Balcomb, J.D.

    1985-01-01

    We have proposed a transient, quasi-two-dimensional, numerical model for interzone heat flow and airflow in passive solar buildings. The paths for heat flow and airflow are through connecting apertures such as doorways, hallways, and stairways. The model includes the major features that influence interzone convection as determined from the results of our flow visualization tests and temperature and airflow measurements taken in more than a dozen passive solar buildings. The model includes laminar and turbulent quasi-steady boundary-layer equations at vertical heated or cooled walls which are coupled to a one-dimensional core model for each zone. The cores in each zone exchange air and energy through the aperture which is modelled by a Bernoulli equation. Preliminary results from the model are in general agreement with data obtained in full-scale buildings and laboratory experiments. The model predicts room-core temperature stratification of about 2/sup 0/C/m (1.1/sup 0/ F/ft) and maximum aperture velocities of 0.08 m/s (15 ft/min.) for a room-to-room temperature difference of 1/sup 0/F.

  18. Statistical Analysis of Baseline Load Models for Non-Residential Buildings

    E-Print Network [OSTI]

    Coughlin, Katie

    2012-01-01

    and the daily cooling degree hours using 65 F as the baseassociated with cooling-degree hours. For each building, a

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

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    to lower building carbon footprint. The Distributed Energyenergy consumption, and carbon footprint. DER-CAM is used toenergy purchases and carbon footprint, future installations

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

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    Building Energy System Selection and Operation,” paper to be presented at Microgen’II: Second International Confer-ence of Microgeneration and

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

    E-Print Network [OSTI]

    Stadler, Michael

    2012-01-01

    CHP capabilities, and it is visible from Figure 6 that these technologies contribute a lot to the heat supply of the building (

  2. Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model

    Office of Energy Efficiency and Renewable Energy (EERE)

    This presentation was delivered at the U.S. Department of Energy Building America Technical Update meeting on April 29-30, 2013, in Denver, Colorado.

  3. Heat Recovery in Building Envelopes

    E-Print Network [OSTI]

    Sherman, Max H.; Walker, Iain S.

    2001-01-01

    Model For Infiltration Heat Recovery. Proceedings 21st AivcLBNL 47329 HEAT RECOVERY IN BUILDING ENVELOPES Max H.contribution because of heat recovery within the building

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

    SciTech Connect (OSTI)

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

    2013-10-01

    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.

  5. The Framework of an Optimization Model for the Thermal Design of Building Envelopes 

    E-Print Network [OSTI]

    Al-Homoud, M. S.; Degelman, L. O.; Boyer, L. L.

    1994-01-01

    to the decision making process of building design. In dealing with the building as a thermal system, the proper selection of its components and their relationships can be organized using a systems approach. This can be achieved by coupling an optimization...

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

    Potential for Achieving Net Zero-Energy Buildings in thea commitment to delivering net-zero energy new (and in someplan calls for net-zero energy commercial buildings by

  7. 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]

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

    2002-11-01

    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 ...

  8. A Methodology to Identify Monthly Energy Use Models from Utility Bill Data for Seasonally Scheduled Buildings: Application to K-12 Schools 

    E-Print Network [OSTI]

    Wang, W.; Claridge, D. E.; Reddy, T. A.

    1998-01-01

    The measured energy savings from retrofits in buildings is often determined as the difference between the energy consumption predicted by a baseline model and the measured energy consumption during the post retrofit period. Most baseline models...

  9. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    55] A.W.  Pratt, Heat Transmission in Buildings, John Wiley through radiative transmission, conductive heat transfer (

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

    clean energy future." Energy policy 29(14): 1179- CBI (2008) US Department of Energy, Commercial Building Initiative

  11. Media contact: Release date

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter By SarahMODELING Release date: Todd A. NelsonJune 3,4,

  12. Media contact: Release date

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter By SarahMODELING Release date: Todd A. NelsonJune

  13. Media contact: Release date

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter By SarahMODELING Release date: Todd A. NelsonJuneJune

  14. Media contact: Release date

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter By SarahMODELING Release date: Todd A.

  15. Media contact: Release date

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matter By SarahMODELING Release date: Todd A.February 10,

  16. Better Buildings 

    E-Print Network [OSTI]

    Neukomm, M.

    2012-01-01

    replicable programs/solutions. Emphasis on home energy improvement Federal Performance-based Contracting Challenge ?Leverage ARRA ?Overcome Barriers ?Drive Action/Change ?Grow Partnerships Better Buildings promotes energy efficiency as top... Senior Executive --Announce innovations/market solutions Take Action -Showcase project within 9 months -Organization wide plan, schedule and milestones within 9 months Report Results -Share information and implementation models -Share...

  17. Building Technologies Program: Tax Deduction Qualified Software ? Green Building Studio Web Service version 3.1

    Broader source: Energy.gov [DOE]

    Provides required documentation that Green Building Studio Web Service version 3.1 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  18. Building Technologies Program: Tax Deduction Qualified Software- Green Building Studio Web Service version 3.0

    Broader source: Energy.gov [DOE]

    Provides required documentation that Green Building Studio Web Service version 3.0 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  19. Building Technologies Program: Tax Deduction Qualified Software- VisualDOE version 4.1 build 0002

    Broader source: Energy.gov [DOE]

    Provides required documentation that VisualDOE version 4.1 build 0002 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  20. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1992-10-01

    Developments in passive solar buildings that took place from the early 1970`s through 1989 are described. Much of the work covered was federally sponsored during the period 1975 through 1986. About half the volume is devoted to quantitative methods for modeling, simulation, and design analysis of passive buildings; the other half summarizes the quantitative results of testing and monitoring of models and buildings. The following are covered: building solar gain modeling, simulation analysis, simplified methods, materials and components, analytical results for specific systems, test modules, building integration, performance monitoring and results, and design tools. (MHR)

  1. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D. )

    1992-01-01

    Developments in passive solar buildings that took place from the early 1970's through 1989 are described. Much of the work covered was federally sponsored during the period 1975 through 1986. About half the volume is devoted to quantitative methods for modeling, simulation, and design analysis of passive buildings; the other half summarizes the quantitative results of testing and monitoring of models and buildings. The following are covered: building solar gain modeling, simulation analysis, simplified methods, materials and components, analytical results for specific systems, test modules, building integration, performance monitoring and results, and design tools. (MHR)

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

    E-Print Network [OSTI]

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

    2007-01-01

    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...

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

    E-Print Network [OSTI]

    Walker, Christine E. (Christine Elaine)

    2006-01-01

    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 ...

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

    E-Print Network [OSTI]

    Kelly, Scott

    2013-04-16

    propensity to consume more energy are also more likely to have higher energy efficiency. Internal dwelling temperature is one of the most important parameters for explaining residential energy demand over a heterogeneous building stock. Yet bottom up...

  5. A Challenge Obfuscation Method for Thwarting Model Building Attacks on PUFs

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

    additive func- tions such as Arbiter PUF (APUF) and k-sum PUF as building units. Nevertheless, both APUFs variations that occur during hardware device manufacturing. More importantly, secrecy of a PUF is derived

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

    E-Print Network [OSTI]

    Bueno Unzeta, Bruno

    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 ...

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

    E-Print Network [OSTI]

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

    2010-01-01

    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...

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

    E-Print Network [OSTI]

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

    2006-01-01

    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...

  9. Commercial-Residential Buildings' Vulnerability Component of the Florida Public Hurricane Loss Model

    E-Print Network [OSTI]

    Chen, Shu-Ching

    Commercial-Residential Buildings' Vulnerability Component of the Florida Public Hurricane Loss to be surveyed and defined. Within this context the State of Florida has created the Florida Public Hurricane

  10. Building Stones

    E-Print Network [OSTI]

    2012-01-01

    3). Photographs by the author. Building Stones, Harrell, UEEOxford Short Citation: Harrell, 2012, Building Stones. UEE.Harrell, James A. , 2012, Building Stones. In Willeke

  11. Use of Source Term and Air Dispersion Modeling in Planning Demolition of Highly Alpha-Contaminated Buildings

    SciTech Connect (OSTI)

    Droppo, James G.; Napier, Bruce A.; Rishel, Jeremy P.; Bloom, Richard W.

    2011-06-22

    The current cleanup of structures related to cold-war production of nuclear materials includes the need to demolish a number of highly alpha-contaminated structures. The process of planning for the demolition of such structures includes unique challenges related to ensuring the protection of both workers and the public. Pre-demolition modeling analyses were conducted to evaluate potential exposures resulting from the proposed demolition of a number of these structures. Estimated emission rates of transuranic materials during demolition are used as input to an air-dispersion model. The climatological frequencies of occurrence of peak air and surface exposures at locations of interest are estimated based on years of hourly meteorological records. The modeling results indicate that downwind deposition is the main operational limitation for demolition of a highly alpha-contaminated building. The pre-demolition modeling directed the need for better contamination characterization and/or different demolition methods—and in the end, provided a basis for proceeding with the planned demolition activities. Post-demolition modeling was also conducted for several contaminated structures, based on the actual demolition schedule and conditions. Comparisons of modeled and monitoring results are shown. Recent monitoring data from the demolition of a UO3 plant shows increments in concentrations that were previously identified in the pre-demolition modeling predictions; these comparisons confirm the validity and value of the pre-demolition source-term and air dispersion computations for planning demolition activities for other buildings with high levels of radioactive contamination.

  12. Calibration of an EnergyPlus Building Energy Model to Assess the Impact of Demand Response Measures 

    E-Print Network [OSTI]

    Lavigne, K.; Sansregret, S.; Daoud, A.; Leclair, L. A.

    2013-01-01

    Simon Sansregret Ahmed DaoudLouis-Alexandre Leclaire CALIBRATION OF AN ENERGYPLUS BUILDING ENERGY MODEL TO ASSESS THE IMPACT OF DEMAND RESPONSE MEASURES ICEBO 2013, Montr?al Groupe ? Technologie2 ICEBO-2013 Contextualization > Hydro..., Static fan pressure, Plug load intensity, etc. > Establish an optimization plan (? ? simulated and measured profiles) ? Parameter selection and their limits ? Calibration period (annual or specific period) ? Objective function and type of algorithm...

  13. Modeling the effect of climate change on U.S. state-level buildings energy demands in an integrated assessment framework

    SciTech Connect (OSTI)

    Zhou, Yuyu; Clarke, Leon E.; Eom, Jiyong; Kyle, G. Page; Patel, Pralit L.; Kim, Son H.; Dirks, James A.; Jensen, Erik A.; Liu, Ying; Rice, Jennie S.; Schmidt, Laurel C.; Seiple, Timothy E.

    2014-01-01

    As long-term socioeconomic transformation and energy service expansion show large spatial heterogeneity, advanced understanding of climate impact on building energy use at the sub-national level will offer useful insights into climate policy and regional energy system planning. In this study, we presented a detailed building energy model with a U.S. state-level representation, nested in the GCAM integrated assessment framework. We projected state-level building energy demand and its spatial pattern over the century, considering the impact of climate change based on the estimates of heating and cooling degree days derived from downscaled USGS CASCaDE temperature data. The result indicates that climate change has a large impact on heating and cooling building energy and fuel use at the state level, exhibiting large spatial heterogeneity across states (ranges from -10% to +10%). The sensitivity analysis reveals that the building energy demand is subject to multiple key factors, such as the magnitude of climate change, the choice of climate models, and the growth of population and GDP, and that their relative contributions vary greatly across the space. The scale impact in building energy use modeling highlights the importance of constructing a building energy model with the spatially-explicit representation of socioeconomics, energy system development, and climate change. These findings will help the climate-based policy decision and energy system, especially utility planning related to building sector at the U.S. state and regional level facing the potential climate change.

  14. University Of California, Berkeley Valley Life Sciences Building

    E-Print Network [OSTI]

    University Of California, Berkeley Valley Life Sciences Building (VLSB) Building Emergency Plan Date Revised: January 2014 Prepared By: Derek Apodaca #12;TABLE OF CONTENTS I. BUILDING INFORMATION 1. Building Name 2. Building Coordinator Name 3. Alternate BC Name 4. Emergency Assembly Area Location 5

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

    SciTech Connect (OSTI)

    Hadley, SW

    2004-10-11

    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.

  16. Whole Building Energy Simulation

    Broader source: Energy.gov [DOE]

    Whole building energy simulation, also referred to as energy modeling, can and should be incorporated early during project planning to provide energy impact feedback for which design considerations...

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

    E-Print Network [OSTI]

    Jones, M.; Ledinger, S.

    2010-01-01

    to pro- vide hot water above 95 C. The chiller then continues to operate unless the heating water falls below 75 C. The chiller operates on an on-off control strategy with hystere- sis. Annual energy performance Two air set-points are considered... 24 Sum [MWh] 2223 3115 total annual building load, 2223MWh. Conclusions to be drawn from figure 10 are outlined in three regions. Simulation results indicate that the building will have a baseload outside of occupation hours between 0 and 100 k...

  18. Simulation of the Post-Retrofit Thermal Energy Use for the University Teaching Center (UTC) Building with the Use of Simplified System Models 

    E-Print Network [OSTI]

    Katipamula, S.; Claridge, D. E.

    1991-01-01

    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...

  19. Calibration of Building Energy Models: Supercomputing, Big-Data and Machine-Learning

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    . EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus can often extend in the order of a few thousand parameters which have. Millions of EnergyPlus simulations are run on supercomputers which are subsequently used to train machine

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01

    Study of Energy Efficiency in Buildings, Pacific Grove, CA,Study of Energy Efficiency in Buildings, Pacific Grove, CA,Study of Energy Efficiency in Buildings, Pacific Grove, CA,

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    This brochure describes the rebuilding of Greensburg, Kansas, highlighting the Greensburg High Performance Buildings Database as a source of information for energy-efficient building techniques.

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    504 78. Joe A. Clarke. Energy Simulation in Building Design.interoperability for energy simulation. In Proceedings ofgeneration building energy simulation program. Energy and

  3. Validation of Simulated Thermal Comfort using a Calibrated Building Energy Simulation (BES) model in the context of Building Performance Evaluation & Optimisation 

    E-Print Network [OSTI]

    Coakley, D.; Corry, E. J.; Keane, M. M.

    2013-01-01

    as assessing various performance optimisation measures during the operational stage. Common metrics used to indicate Building Energy Performance include Energy cost, Carbon Dioxide emissions and Indoor Thermal Comfort (Predicted Mean Vote - PMV / Predicted...

  4. Archived Reference Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  5. Please cite this article in press as: T. Zhang, et al., Modelling electricity consumption in office buildings: An agent based approach. Energy Buildings (2011), doi:10.1016/j.enbuild.2011.07.007

    E-Print Network [OSTI]

    Aickelin, Uwe

    2011-01-01

    Please cite this article in press as: T. Zhang, et al., Modelling electricity consumption in office behaviour, to simulate the electricity consumption in office buildings. Based on a case study, we use office electricity consumption problems. This paper theoretically contributes to an integration

  6. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    T.   Williamson, Urban surface energy balance modelsmodel of the international urban energy balance model comparison, threedimensional urban energy balance model for studying 

  7. An indoorâ??outdoor building energy simulator to study urban modification effects on building energy use â?? Model description and validation

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

    T.   Williamson, Urban surface energy balance modelsmodel of the international urban energy balance model comparison, The International Urban Energy Balance Models  Comparison 

  8. BUILDING NAMES AA Architecture Building

    E-Print Network [OSTI]

    Dawson, Jeff W.

    P18$ P16 BUILDING NAMES AA Architecture Building AC Recreation and Athletics Centre AH Alumni Hall AP Azrieli Pavillion AT Azrieli Theatre CB Canal Building CO Residence Commons DT Dunton Tower FH Interaction Building (HCI) HP Herzberg Laboratories IH Ice House LA Loeb Building LE Leeds House LH Lanark

  9. Assessment of Building Energy-Saving Policies and Programs in China During the 11th Five Year Plan

    E-Print Network [OSTI]

    Zhou, Nan

    2011-01-01

    buildings, adoption of renewable energy sources. To date,buildings, as well as renewable energy application, whereaspromotes the use of renewable energy by encouraging local

  10. Existing Commercial Reference Buildings Constructed In or After 1980 — Archive

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location.

  11. Building risk prediction models -with a focus on Genome-Wide Association Studies

    E-Print Network [OSTI]

    Brent, Roger

    Kooperberg Charles Kooperberg Predictive models for GWAS #12;Risk prediction models Based on data: (Di , Xi1;Selection of predictors. Selection of predictors on the same data as training and/or evaluating models can data to evaluate your model as is part of your cross-validation procedure biases your results

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield MunicipalTechnical Report:Speeding accessby aLED Street LightingFrom the Building to the Grid: An

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButtePower VenturesInformation EU-UNDP Climate Change Capacity Building

  14. From the Building to the Grid: An Energy Revolution and Modeling Challenge

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journal Article)Forthcoming UpgradesArea: PADD 1 to PADD 2 From the Building

  15. A Fourier series model to predict hourly heating and cooling energy use in commercial buildings with outdoor temperature as the only weather variable

    SciTech Connect (OSTI)

    Dhar, A. [Enron Corp., Houston, TX (United States); Reddy, T.A. [Drexel Univ., Philadelphia, PA (United States). Civil and Architectural Engineering Dept.; Claridge, D.E. [Texas A and M Univ., College Station, TX (United States). Energy Systems Lab.

    1999-02-01

    Accurate modeling of hourly heating and cooling energy use in commercial buildings can be achieved by a Generalized Fourier Series (GFS) approach involving weather variables such as dry-bulb temperature, specific humidity and horizontal solar flux. However, there are situations when only temperature data is available. The objective of this paper is to (i) describe development of a variant of the GFS approach which allows modeling both heating and cooling hourly energy use in commercial buildings with outdoor temperature as the only weather variable and (ii) illustrate its application with monitored hourly data from several buildings in Texas. It is found that the new Temperature based Fourier Series (TFS) approach (1) provides better approximation to heating energy use than the existing GFS approach, (ii) can indirectly account for humidity and solar effects in the cooling energy use, (iii) offers physical insight into the operating pattern of a building HVAC system and (iv) can be used for diagnostic purposes.

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

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01

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

  17. Building Technologies Program: Tax Deduction Qualified Software-EnergyGauge Summit version 3.1 build 2

    Broader source: Energy.gov [DOE]

    Provides required documentation that EnergyGauge Summit version 3.1 build 2 meets Internal Revenue Code §179D, Notice 2006-52, dated January 31, 2007, for calculating commercial building energy and power cost savings.

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

    E-Print Network [OSTI]

    Stadler, Michael

    2012-01-01

    Modeling with Combined Heat and Power Applications”,DG) equipment, combined heat and power (CHP), and electrical

  19. Challenges, Benefits, & Risks Associated with Integrated Project Delivery and Building Information Modeling

    E-Print Network [OSTI]

    Manning, Ryan T.

    2012-12-14

    that inefficiencies in the traditional project delivery methods have been identified. Parallel modeling is the most obvious of the inefficiencies. In parallel modeling, the Contractor re-creates the Architect/Engineer’s BIM model, which was developed during the design...

  20. Live Webinar on Better Buildings Case Competition: Energy Efficiency in the Restaurant Franchise Model Case Study

    Broader source: Energy.gov [DOE]

    The Energy Department will present a live webinar titled "A Side of Savings: Energy Efficiency in the Restaurant Franchise Model Case Study."

  1. Contrib. Plasma Phys. 51, No. 1, 5 21 (2011) / DOI 10.1002/ctpp.201000504 A One-Dimensional Particle-in-Cell Model of Plasma Build-Up in

    E-Print Network [OSTI]

    Nordlund, Kai

    2011-01-01

    -Dimensional Particle-in-Cell Model of Plasma Build-Up in Vacuum Arcs H. Timko1,2 , K. Matyash3 , R. Schneider3 , F, accepted 9 March 2010 Published online 5 January 2011 Key words Vacuum arcs, electrical discharges, plasma build-up, PIC simulations. Understanding the mechanism of plasma build-up in vacuum arcs is essential

  2. Dating the Vinland Map

    ScienceCinema (OSTI)

    None

    2013-07-17

    Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

  3. Reduced-order modeling and simulated annealing optimization for efficient residential building utility bill calibration q

    E-Print Network [OSTI]

    accuracy. a r t i c l e i n f o Article history: Received 16 May 2014 Received in revised form 17 February. The National Renewable Energy Laboratory's BEopt/DOE-2.2 is used to evaluate an automated regression the calibration procedure. Substituting actual BEopt/DOE-2.2 model simulations with the statistical models reduces

  4. The challenge of building agent-based models of the economy

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    with behavioral knowledge Can include: Real estate, capital markets, taxes, foreign exchange, liquidity, stock in search of a model takes it as given that all our models have failed completely in the crisis -- which stock mkt, ... Credit markets: Gallegati, Delligati, ... Labor market: Clower and Howitt Mortgage

  5. In order to create a simulation model of a building, it is usually necessary to make a

    E-Print Network [OSTI]

    be the partial derivative of total building energy consumption with respect to the effective solar transmissivity on the building energy consumption. Such behavior as opening doors, leaving windows open, changing the thermostat on building energy consumption. In order to gage the accuracy of a simulation, it is necessary to estimate

  6. 300 Area Building Retention Evaluation Mitigation Plan

    SciTech Connect (OSTI)

    D. J. McBride

    2007-07-03

    Evaluate the long-term retention of several facilities associated with the PNNL Capability Replacement Laboratory and other Hanfor mission needs. WCH prepared a mitigation plan for three scenarios with different release dates for specific buildings. The evaluations present a proposed plan for providing utility services to retained facilities in support of a long-term (+20 year) lifespan in addition to temporary services to buildings with specified delayed release dates.

  7. Computer programs for developing source terms for a UF{sub 6} dispersion model to simulate postulated UF{sub 6} releases from buildings

    SciTech Connect (OSTI)

    Williams, W.R.

    1985-03-01

    Calculational methods and computer programs for the analysis of source terms for postulated releases of UF{sub 6} are presented. Required thermophysical properties of UF{sub 6}, HF, and H{sub 2}O are described in detail. UF{sub 6} reacts with moisture in the ambient environment to form HF and H{sub 2}O. The coexistence of HF and H{sub 2}O significantly alters their pure component properties, and HF vapor polymerizes. Transient compartment models for simulating UF{sub 6} releases inside gaseous diffusion plant feed and withdrawl buildings and cascade buildings are also described. The basic compartment model mass and energy balances are supported by simple heat transfer, ventilation system, and deposition models. A model that can simulate either a closed compartment or a steady-state ventilation system is also discussed. The transient compartment models provide input to an atmospheric dispersion model as output.

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

    E-Print Network [OSTI]

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

    2010-01-01

    . 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...

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    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

  10. Modeling of Heat Transfer in Rooms in the Modelica Buildings Library

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01

    infrared radia- tion and solar radiation. Figure 1 shows theconvective and infrared and solar radiation heat transfer inIn the window model, a solar radiation balance is solved for

  11. Calculating Impacts of Energy Standards on Energy Demand in U.S. Buildings under Uncertainty with an Integrated Assessment Model: Technical Background Data

    SciTech Connect (OSTI)

    Scott, Michael J.; Daly, Don S.; Hathaway, John E.; Lansing, Carina S.; Liu, Ying; McJeon, Haewon C.; Moss, Richard H.; Patel, Pralit L.; Peterson, Marty J.; Rice, Jennie S.; Zhou, Yuyu

    2014-12-06

    This report presents data and assumptions employed in an application of PNNL’s Global Change Assessment Model with a newly-developed Monte Carlo analysis capability. The model is used to analyze the impacts of more aggressive U.S. residential and commercial building-energy codes and equipment standards on energy consumption and energy service costs at the state level, explicitly recognizing uncertainty in technology effectiveness and cost, socioeconomics, presence or absence of carbon prices, and climate impacts on energy demand. The report provides a summary of how residential and commercial buildings are modeled, together with assumptions made for the distributions of state–level population, Gross Domestic Product (GDP) per worker, efficiency and cost of residential and commercial energy equipment by end use, and efficiency and cost of residential and commercial building shells. The cost and performance of equipment and of building shells are reported separately for current building and equipment efficiency standards and for more aggressive standards. The report also details assumptions concerning future improvements brought about by projected trends in technology.

  12. Numerical Modeling of 90Sr and 137Cs Transport from a Spill in the B-Cell of the 324 Building, Hanford Site 300 Area

    SciTech Connect (OSTI)

    Rockhold, Mark L.; Bacon, Diana H.; Freedman, Vicky L.; Lindberg, Michael J.; Clayton, Ray E.

    2012-03-19

    To characterize the extent of contamination under the 324 Building, a pit was excavated on the north side of the building in 2010 by Washington Closure Hanford LLC (WCH). Horizontal closed-end steel access pipes were installed under the foundation of the building from this pit and were used for measuring temperatures and exposure rates under the B-Cell. The deployed sensors measured elevated temperatures of up to 61 C (142 F) and exposure rates of up to 8,900 R/hr. WCH suspended deactivation of the facility because it recognized that building safety systems and additional characterization data might be needed for remediation of the contaminated material. The characterization work included additional field sampling, laboratory measurements, and numerical flow and transport modeling. Laboratory measurements of sediment physical, hydraulic, and geochemical properties were performed by Pacific Northwest National Laboratory (PNNL) and others. Geochemical modeling and subsurface flow and transport modeling also were performed by PNNL to evaluate the possible extent of contamination in the unsaturated sand and gravel sediments underlying the building. Historical records suggest that the concentrated 137Cs- and 90Sr-bearing liquid wastes that were spilled in B-Cell were likely from a glass-waste repository testing program associated with the Federal Republic of Germany (FRG). Incomplete estimates of the aqueous chemical composition (no anion data provided) of the FRG waste solutions were entered into a geochemical speciation model and were charge balanced with nitrate to estimate waste composition. Additional geochemical modeling was performed to evaluate reactions of the waste stream with the concrete foundation of the building prior to the stream entering the subsurface.

  13. Centrifuge Modeling of Deep Excavations and Their Interaction With Adjacent Buildings

    E-Print Network [OSTI]

    Elshafie, M. Z. E. B.; Choy, C. K. C.; Mair, R. J.

    ., ASCE 127 (3): 203-224. Madabhushi, S.P.G, Houghton, N.E. and Haigh, S.K., 2006, “A new automatic sand pourer for model preparation at University of Cambridge,” ICPMG’06 – © 2006 Taylor & Francis group, London, ISBN 0-415-41586-1, pp. 217-222. Mair... , “Calibration and use of a new automatic sand pourer,” ICPMG’06 – © 2006 Taylor & Francis group, London, ISBN 0-415-41586-1, pp. 265-270. 41 FIGURE CAPTIONS Fig. 1 – Front view of the centrifuge model Fig. 2 – Schematic diagram of the centrifuge...

  14. Building America

    SciTech Connect (OSTI)

    Brad Oberg

    2010-12-31

    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.

  15. Building America Case Study: Community-Scale Energy Modeling (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-12-01

    IBACOS analyzed pre-retrofit daily utility data to sort homes by energy consumption, allowing for better targeting of homes for physical audits. Following ASHRAE Guideline 14 normalization procedures, electricity consumption of 1,166 all electric production-built homes' was modeled. The homes were in two communities--one built in the 1970s and the other in the mid-2000s.

  16. AN RT-UML MODEL FOR BUILDING FASTER-THAN-REAL-TIME SIMULATORS

    E-Print Network [OSTI]

    Katsaros, Panagiotis

    demanding, requiring a consistent specification for developing such systems. This paper presents guidelines, obtaining and storing system and the model data during the auditing interval, and auditing, that is, examining a) if the system has been #12;modified during the last auditing interval (system reformations), b

  17. A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING

    E-Print Network [OSTI]

    Fernandez, Thomas

    generation, initial values of the parameters in an model (offspring) are inherited from the parents. step-2 series and applied it to lots of time series: (1) computer generated chaos e.g. Logistic, Loessler is made by using a set of finite number of past values measured from the system )x,,x,(xfx~ n-t2-t1-tt

  18. Model building with intersecting D6-branes on smooth Calabi-Yau manifolds

    E-Print Network [OSTI]

    Eran Palti

    2009-02-20

    We study intersecting D6-branes in Calabi-Yau manifolds that are smooth hypersurfaces in weighted projective spaces. We develop the techniques for calculating intersection numbers between special Lagrangian sub-manifolds defined as fixed loci of anti-holomorphic involutions. We present global Pati-Salam and MSSM-like models that are supersymmetric up to a decoupled hidden sector.

  19. Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

    Reports and Publications (EIA)

    2003-01-01

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  20. Better Buildings Neighborhood Program Business Models Guide: Home Performance Contractor Introduction

    Broader source: Energy.gov [DOE]

    The home performance contractor is a firm whose business is to deliver customized and complete home energy upgrade solutions directly to consumers. This is a relatively new contractor model; it addresses companies that provide services from the energy assessment stage of the home energy upgrade process through the installation and quality assurance stages.

  1. GEOMETRIC REASONING IN 3D BUILDING MODELS USING MULTIVARIATE POLYNOMIALS AND CHARACTERISTIC SETS

    E-Print Network [OSTI]

    Behnke, Sven

    .g. points or planes that represent walls or roof halves, and therefore their position and their relations systems which meet the requirements of an efficient implementation. Geometric constraints can be expressed by the modeller. While there are efficient methods to solve non-linear equation systems numerically, we have

  2. Existing Commercial Reference Buildings Constructed Before 1980 — Archive

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary of building types and...

  3. Building technologies

    SciTech Connect (OSTI)

    Jackson, Roderick

    2014-07-14

    After growing up on construction sites, Roderick Jackson is now helping to make buildings nationwide far more energy efficient.

  4. Building technologies

    ScienceCinema (OSTI)

    Jackson, Roderick

    2014-07-15

    After growing up on construction sites, Roderick Jackson is now helping to make buildings nationwide far more energy efficient.

  5. Models and analysis of yeast mating response : tools for model building, from documentation to time-dependent stimulation

    E-Print Network [OSTI]

    Thomson, Ty M. (Ty Matthew)

    2008-01-01

    Molecular signaling systems allow cells to sense and respond to environmental stimuli. Quantitative modeling can be a valuable tool for evaluating and extending our understanding of signaling systems. In particular, studies ...

  6. Building Energy Optimization Analysis Method (BEopt) - Building...

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

    Building Energy Optimization Analysis Method (BEopt) - Building America Top Innovation Building Energy Optimization Analysis Method (BEopt) - Building America Top Innovation House...

  7. Beardmore Building

    High Performance Buildings Database

    Priest River, ID Originally built in 1922 by Charles Beardmore, the building housed offices, mercantile shops, a ballroom and a theater. After decades of neglect under outside ownership, Brian Runberg, an architect and great-grandson of Charles Beardmore, purchased the building in 2006 and began an extensive whole building historic restoration.

  8. Architecture and Environmental Building Design

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    1 56% 2% 7% 2% 5% 28% Architecture and Environmental Building Design 33% response rate Full Seeking Employment as of the date they completed the survey- 27% 69% 19% 12% Landscape Architecture 46" Architecture, Master of Architecture (M.Arch) Fulltime Employment Amanda Levete Architects, Design, Part II

  9. Archived Reference Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  10. An integrated cyberinfrastructure for real-time data acquisition and decision making in smart buildings and coral reef monitoring

    E-Print Network [OSTI]

    Shin, Peter Hongsuck

    2010-01-01

    6.1 Smart Building . . . . . . . . . . . . . . . . . .4.2.5 Simulation Models for Smart Building: . .4.2.6 Building Control Logic for Smart Building: 4.2.7

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

    E-Print Network [OSTI]

    Madhani, Himanshu 1986-

    2012-11-29

    -least one owner with similar type of house as in other group. 1st group is shown a video demonstration of this tool and provided with a model with certain maintenance issues. The video provides step by step tutorial on how the participants can deal..., this tool with the help of web-based search engines could provide links to tutorial videos. Companies like Google could get involved in developing this tool further and could have their search engine attached to the maintenance alerts. This would help...

  12. Investigation of techniques to build generation system models for reliability evaluation 

    E-Print Network [OSTI]

    Gubbala, Nagalakshmi V.

    1994-01-01

    of the Proposed Method 1. Two State Unit 2. Three State Unit . 3. n State Unit B. Results and Discussion 1. Case Studies Using IEEE-RTS 2. Case Studies Using EPRI Synthetic System 3. The System Described in Reference [8] 4. CPU Times for Different Models... Transform 1. Count of Operations 3 7 10 11 12 13 16 16 17 20 24 25 27 30 33 39 39 40 43 44 46 48 50 VJn CHAPTER Page 2. Derivation D. Mathematical Comparison E. System Studies 1. IEEE-RTS 2. EPRI Synthetic 3. Results 4...

  13. Building and Calibration of a FAST Model of the SWAY Prototype Floating Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Koh, J. H.; Robertson, A.; Jonkman, J.; Driscoll, F.; Ng, E. Y. K.

    2013-09-01

    Present efforts to verify and validate aero-hydro-servo-elastic numerical simulation tools that predict the dynamic response of a floating offshore wind turbine are primarily limited to code-to-code comparisons or code-to-data comparisons using data from wind-wave basin tests. In partnership with SWAY AS, the National Renewable Energy Laboratory (NREL) installed scientific wind, wave, and motion measurement equipment on the 1/6.5th-scale prototype SWAY floating wind system to collect data to validate a FAST model of the SWAY design in an open-water condition. Nanyang Technological University (NTU), through a collaboration with NREL, assisted in this validation.

  14. OpenStudio Enhancements for Whole-Building Daylighting, Airflow...

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

    for Whole-Building Daylighting, Airflow, and Energy Modeling Leveraging Interoperable Building Information Modeling Data - 2014 BTO Peer Review OpenStudio Enhancements for...

  15. EMERGENCY MANAGEMENT Effective Date

    E-Print Network [OSTI]

    Fernandez, Eduardo

    SUBJECT: EMERGENCY MANAGEMENT Effective Date: 4-7-14 Policy Number: 1.14 Supersedes: Policy 4 assets and ensure continued operations during and after all manner of emergencies, whether natural or man- made, by implementing appropriate emergency management policies, plans, and procedures designed

  16. Building Energy Performance Analysis of an Academic Building Using IFC BIM-Based Methodology 

    E-Print Network [OSTI]

    Aziz, Z.; Arayici, Y.; Shivachev, D.

    2012-01-01

    This paper discusses the potential to use an Industry Foundation Classes (IFC)/Building Information Modelling (BIM) based method to undertake Building Energy Performance analysis of an academic building. BIM/IFC based methodology provides a...

  17. MetNet: Software to Build and Model the Biogenetic Lattice ofArabidopsis

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

    Wurtele, Eve Syrkin; Li, Jie; Diao, Lixia; Zhang, Hailong; Foster, Carol M.; Fatland, Beth; Dickerson, Julie; Brown, Andrew; Cox, Zach; Cook, Dianne; et al

    2003-01-01

    MetNet (http://www.botany.iastate.edu/?mash/metnetex/metabolicnetex.html) is publicly available software in development for analysis of genome-wide RNA, protein and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory network map ofArabidopsis, combined with gene expression profiling data. It contains a JAVA interface to an interactions database (MetNetDB) containing information on regulatory and metabolic interactions derived from a combination of web databases (TAIR, KEGG, BRENDA) and input from biologists in their area of expertise. FCModeler captures input from MetNetDB in a graphical form. Sub-networks can be identified and interpreted using simple fuzzy cognitivemore »maps. FCModeler is intended to develop and evaluate hypotheses, and provide a modelling framework for assessing the large amounts of data captured by high-throughput gene expression experiments. FCModeler and MetNetDB are currently being extended to three-dimensional virtual reality display. The MetNet map, together with gene expression data, can be viewed using multivariate graphics tools in GGobi linked with the data analytic tools in R. Users can highlight different parts of the metabolic network and see the relevant expression data highlighted in other data plots. Multi-dimensional expression data can be rotated through different dimensions. Statistical analysis can be computed alongside the visual. MetNet is designed to provide a framework for the formulation of testable hypotheses regarding the function of specific genes, and in the long term provide the basis for identification of metabolic and regulatory networks that control plant composition and development.« less

  18. MetNet: Software to Build and Model the Biogenetic Lattice of Arabidopsis

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

    Wurtele, Eve Syrkin; Li, Jie; Diao, Lixia; Zhang, Hailong; Foster, Carol M.; Fatland, Beth; Dickerson, Julie; Brown, Andrew; Cox, Zach; Cook, Dianne; et al

    2003-01-01

    MetNet (http://www.botany.iastate.edu/?mash/metnetex/metabolicnetex.html) is publicly available software in development for analysis of genome-wide RNA, protein and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory network map of Arabidopsis , combined with gene expression profiling data. It contains a JAVA interface to an interactions database (MetNetDB) containing information on regulatory and metabolic interactions derived from a combination of web databases (TAIR, KEGG, BRENDA) and input from biologists in their area of expertise. FCModeler captures input from MetNetDB in a graphical form. Sub-networks can be identified and interpreted usingmore »simple fuzzy cognitive maps. FCModeler is intended to develop and evaluate hypotheses, and provide a modelling framework for assessing the large amounts of data captured by high-throughput gene expression experiments. FCModeler and MetNetDB are currently being extended to three-dimensional virtual reality display. The MetNet map, together with gene expression data, can be viewed using multivariate graphics tools in GGobi linked with the data analytic tools in R. Users can highlight different parts of the metabolic network and see the relevant expression data highlighted in other data plots. Multi-dimensional expression data can be rotated through different dimensions. Statistical analysis can be computed alongside the visual. MetNet is designed to provide a framework for the formulation of testable hypotheses regarding the function of specific genes, and in the long term provide the basis for identification of metabolic and regulatory networks that control plant composition and development. « less

  19. Heat recovery in building envelopes

    E-Print Network [OSTI]

    Walker, Iain S.; Sherman, Max H.

    2003-01-01

    2003). Infiltration heat recovery – ASHRAE Research ProjectModel for Infiltration Heat Recovery, Proc. 21 st AnnualN ATIONAL L ABORATORY Heat Recovery in Building Envelopes

  20. Heat recovery in building envelopes

    E-Print Network [OSTI]

    Walker, Iain S.; Sherman, Max H.

    2003-01-01

    2003). Infiltration heat recovery – ASHRAE Research ProjectModel for Infiltration Heat Recovery, Proc. 21 st AnnualWalker, I.S. (2001). "Heat Recovery in Building Envelopes".

  1. Passive solar buildings research

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1992-12-31

    This chapter covers research advances in passive solar buildings research during the time span from 1982 through 1991. These advances fall within the following categories: (1) short-term energy monitoring, (2) heat transport by natural convection within buildings, and (3) design guidelines and design tools. In short-term energy monitoring, a simulation model of the building is calibrated, based on data taken in a 3-day test. The method accurately predicts performance over an extended period. Heat transport through doorways is characterized for complex situations that arise in passive solar buildings. Simple concepts and models adequately describe the energy transport in many situations of interest. In a new approach, design guidelines are automatically generated for any specific locality. Worksheets or an accompanying computer program allow the designer to quickly and accurately evaluate performance and investigate design alternatives. 29 refs., 19 figs., 2 tabs.

  2. EMERGENCY ACTION DATE OF LAST REVISION: 12 July 2013

    E-Print Network [OSTI]

    Stuart, Steven J.

    EMERGENCY ACTION PLAN DATE OF LAST REVISION: 12 July 2013 #12;REVISION RECORD original issue #12;CAC-C EMERGENCY ACTION PLAN 8/6/13-4:13 PM page 3 C O N T E N T S 1.0 PURPOSE................................................................................ 4 2.0 REPORTING EMERGENCIES.................................................. 4 3.0 BUILDING

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

    E-Print Network [OSTI]

    Riblett, Carl Olin

    1993-01-01

    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. ...

  4. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  5. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  6. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  7. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  8. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201 WRPS C M

  9. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201 WRPS C

  10. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201 WRPS C3-E

  11. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201 WRPS

  12. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201 WRPS2-AW

  13. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201 WRPS2-AWS

  14. Building Number/Name: Date prepared: Responsible Contractor:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 OutreachProductswsicloudwsiclouddenDVA N C E D B L OBransen PlasmaEnergy,Recognizing Top101-HV Feb 8 201

  15. Building Technologies Office Overview

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

    Roland Risser Director, Building Technologies Office Building Technologies Office Energy Efficiency Starts Here. 2 Building Technologies Office Integrated Approach: Improving...

  16. Model building on the non-factorisable type IIA $\\bf{T^6/(\\mathbb{Z}_4\\times?\\mathcal{R})}$ orientifold

    E-Print Network [OSTI]

    Alexander Seifert; Gabriele Honecker

    2015-11-10

    We construct global semi-realistic supersymmetric models with intersecting D6-branes on the non-factorisable orientifold $T^6/(\\mathbb{Z}_4\\times\\Omega\\mathcal{R})$. The non-factorisable structure gives rise to differences compared to the factorisable case: additional conditions for the three-cycles to be Lagrangian and extra constraints on the wrapping numbers for building fractional cycles.

  17. Building America Expert Meeting: Transforming Existing Buildings...

    Energy Savers [EERE]

    Transforming Existing Buildings through New Media--An Idea Exchange Building America Expert Meeting: Transforming Existing Buildings through New Media--An Idea Exchange This report...

  18. Building America Residential Buildings Energy Efficiency Meeting...

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

    Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings Energy Efficiency Meeting: July 2010 On this page, you may link to the summary report and...

  19. Comparison of building energy use data between the United States and China

    E-Print Network [OSTI]

    Xia Ph.D., Jianjun

    2014-01-01

    for providing building data and related information.structure are comparable. Building data and information,consider the use of a building data model. For example,

  20. Building Capacity to Transform Zambia: What Motivates Government Officials to Learn Planning-related Skills?

    E-Print Network [OSTI]

    Kudo, Kana

    2015-01-01

    Department (2005). Capacity Building in Africa: An OEDModel): JICA Capacity Building Project for Implementation ofUnderstanding Capacity-Building Needs: Current Models for

  1. Building debris

    E-Print Network [OSTI]

    Dahmen, Joseph (Joseph F. D.)

    2006-01-01

    This thesis relates architectural practices to intelligent use of resources and the reuse of derelict spaces. The initial investigation of rammed earth as a building material is followed by site-specific operations at the ...

  2. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

  3. Archive Reference Buildings by Building Type: Supermarket

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the reference buildings for new construction commercial buildings, organized by building type and location. A summary of building types and climate zones is...

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

    E-Print Network [OSTI]

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

    2009-01-01

    methods for real-time forecasting of building electrical demand, ASHRAE Transaction vol.97(1):710-721 D.C. Montgomery, C. L. Jennings, M. Kulahci. 2007. Introduction to time series analysis and forecasting, ISBN 978-0-471-65397-4. L Ljung, T. S...?derstr?m, 1987, Theory and application of recursive identification, ISBN 978-0-262-12095-1 ESL-IC-09-11-03 Proceedings of the Ninth International Conference for Enhanced Building Operations, Austin, Texas, November 17 - 19, 2009 ...

  5. Better Buildings Data and Summary Report - 2014 BTO Peer Review...

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

    Neighborhood Program grantees) to test energy upgrade business models and improve building energy efficiency across the country. This data is used to populate the Building...

  6. Energy End-Use Intensities in Commercial Buildings1995 -- Tables

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

    model using survey data from the 1995 commercial buildings energy consumption survey and building energy simulations provided by the Facility Energy Decision Screening system....

  7. Detailed Building Reconstruction With Shape Templates

    E-Print Network [OSTI]

    Schindler, Konrad

    Detailed Building Reconstruction With Shape Templates Konrad Schindler 1 and Joachim Bauer 2 1, Austria bauer@vrvis.at Abstract: We present a model-based method for detailed automatic building reconstruction from images. The method starts with recovering a coarse building model consisting of the main

  8. UMass Progress in 3D Building Model Acquisition \\Lambda Robert T. Collins, Allen R. Hanson, Edward M. Riseman

    E-Print Network [OSTI]

    Collins, Robert T.

    of building classes, including peaked roof and multi­level flat roofed structures are described. Recent work efficient ex­ ploitation of the tremendous volume of informa­ tion collected daily by national sensors the efficiency and reliability of the re­ construction process. This paper is organized as follows. Section 2

  9. Building Technologies Office Overview

    SciTech Connect (OSTI)

    2013-04-01

    Building Technologies Office Overview Presentation for the 2013 Building Technologies Office's Program Peer Review

  10. Building America System Research

    SciTech Connect (OSTI)

    2013-04-01

    Residential Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

  11. Energy Efficient Buildings Hub

    SciTech Connect (OSTI)

    2013-04-01

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  12. Building Load Simulation and Validation of an Office Building 

    E-Print Network [OSTI]

    Alghimlas, F.

    2002-01-01

    This paper describes the methodology to develop a well defined energy simulation model for an office building in Kuwait using DOE2.1E program. The two story building has approximately a total airconditioned area of about 23,470 m2 (77,000 ft2...

  13. Final Report - Enhanced LAW Glass Property - Composition Models - Phase 1 VSL-13R2940-1, Rev. 0, dated 9/27/2013

    SciTech Connect (OSTI)

    Kruger, Albert A.; Muller, I.; Gilbo, K.; Joseph, I.; Pegg, I. L.

    2013-11-13

    The objectives of this work are aimed at the development of enhanced LAW propertycomposition models that expand the composition region covered by the models. The models of interest include PCT, VHT, viscosity and electrical conductivity. This is planned as a multi-year effort that will be performed in phases with the objectives listed below for the current phase.  Incorporate property- composition data from the new glasses into the database.  Assess the database and identify composition spaces in the database that need augmentation.  Develop statistically-designed composition matrices to cover the composition regions identified in the above analysis.  Prepare crucible melts of glass compositions from the statistically-designed composition matrix and measure the properties of interest.  Incorporate the above property-composition data into the database.  Assess existing models against the complete dataset and, as necessary, start development of new models.

  14. Office Buildings - Full Report

    Gasoline and Diesel Fuel Update (EIA)

    PDF Office Buildings Although no one building type dominates the commercial buildings sector, office buildings are the most common and account for more than 800,000 buildings or 17...

  15. Summary - Building C-400 Thermal Treatment Remedial Design Report...

    Office of Environmental Management (EM)

    Paducah, KY EM Project: Building C400 Thermal Treatment ETR Report Date: August 2007 ETR-8 United States Department of Energy Office of Environmental Management (DOE-EM) External...

  16. Research Student Administration Marjorie and Arnold Ziff Building

    E-Print Network [OSTI]

    Rzepa, Henry S.

    PG RES 683 MEMORANDUM from Research Student Administration Marjorie and Arnold Ziff Building From: Mrs J Y Findlay Senior Assistant Registrar Research Student Administration To: Directors of Faculty Secretaries/Administrators Date: 04 January 2011

  17. Protocol number: ###### Protocol date: ##/##/####

    E-Print Network [OSTI]

    Casagrandi, Renato

    /07/2012 PROBLEMS 072648 TECNOLOGIES OF AERONAUTICS CONTROL 7.50 26 26/06/2012 SYSTEMS 072652 DYNAMIC MODELS

  18. Chronological information and uncertainty Radiocarbon dating & calibration -Paula Reimer

    E-Print Network [OSTI]

    Sengun, Mehmet Haluk

    uncertainty · Estimated ± 1 - 2 (± 8-32 years) · Measured off-line ± 0.2 (± 2) - ok in gas counting systems.17 (lab error multiplier) #12;14C calibration uncertainties Animation: M. Blaauw #12;Constant initial 14C interpol. Too much weight on individual dates? #12;Which age-depth model? 800 cm core 9 14 C dates

  19. Comparison of Control Strategies for Energy Efficient Building HVAC Systems

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2014-01-01

    transfer in rooms in the modelica buildings library. [18] A.Building models are first captured in Modelica [1]to leverage Modelica’s rich building component library and

  20. The Provincial Cemeteries of Naga ed-Deir: A Comprehensive Study of Tomb Models Dating from the Late Old Kingdom to the Late Middle Kingdom

    E-Print Network [OSTI]

    Kroenke, Karin Roberta

    2010-01-01

    SCENES MODEL TYPE T K T K T K T K T K Bakery Brewery Butchershop Bakery-brewery scene Bakery-butcher scene Brewery-butcher scene Bakery-brewery-butcher

  1. Buildings & Connective

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    Signage Program Complete New Signage, Wayfinding, Campus Identity Program 2 4 4 0 2 2 0 4 2 4 2 5 16 47 Sciences Greenway Interim Landscape New Green Pathway Connecting Parking, Building Entrances Courtyard 2 2 0 0 4 2 0 0 4 2 2 0 16 34 Ashland/Taylor Lot G/K Interim Green Gate Provide New Green

  2. Student Name: Z: Program: Date

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Student Name: Z: Program: Date: Advisor: Contact: 4 YEAR FLIGHT PLAN FOR PRE-HEALTH PROFESSIONS BS://www.science.fau.edu/student_services/ Academic Program Information SHARI GOLDSTEIN, Assoc. Dir. Pre-Health Professions Program Office Location: Z: Program: Date: Advisor: Contact: Flight Plan: Pre-Health Professions (BS in NEUROSCIENCE

  3. Student Name: Z: Program: Date

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Student Name: Z: Program: Date: Advisor: Contact: 4 YEAR FLIGHT PLAN FOR PRE-HEALTH PROFESSIONS BS Program Information SHARI GOLDSTEIN, Assoc. Dir. Pre-Health Professions Program Office Location: SE308 Services. #12;Student Name: Z: Program: Date: Advisor: Contact: Flight Plan: Pre-Health Professions (BS

  4. Student Name: Z: Program: Date

    E-Print Network [OSTI]

    Fernandez, Eduardo

    Student Name: Z: Program: Date: Advisor: Contact: 4 YEAR FLIGHT PLAN: BA in GEOGRAPHY FAU: Program: Date: Advisor: Contact: Flight Plan: BA in Geography NOTE: Some students may be required. 1. Utilize DARS / print and read audit. 2. Visit tutoring resources on campus. 3. Aim for an overall

  5. Buildings*","Buildings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7 Relative Standard ErrorsYear Jan Feb MarA6. BuildingB7. Building6.

  6. Buildings*","Buildings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7 Relative Standard ErrorsYear Jan Feb MarA6. BuildingB7. Building6.8.

  7. Btu)","per Building

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

    ,"Number of Buildings (thousand)","Floorspace (million square feet)","Floorspace per Building (thousand square feet)","Total (trillion Btu)","per Building (million Btu)","per...

  8. Building Technologies Office Overview

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

    Roland Risser Director, Building Technologies Office Building Technologies Office Overview Our Homes and Buildings Use 40% of Our Nation's Energy and 75% of Electricity Energy Use...

  9. Building Performance Simulation

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01

    Y (2008). DeST—An integrated building simulation toolkit,Part ? : Fundamentals. Building Simulation, 1: 95 ? 110.Y (2008). DeST—An integrated building simulation toolkit,

  10. Building Energy Code

    Broader source: Energy.gov [DOE]

    The Rhode Island Building Code Standards Committee adopts, promulgates and administers the state building code. Compliance is determined through the building permit and inspection process by local...

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

    E-Print Network [OSTI]

    Wemhoff, P.

    1994-01-01

    program, thou h Its attachment by pi Ing Is analo ous to that opan externa11~-mounte8air conditioner. The AD standards are contained in Part 3280, and the HUD regulations in Part 3282, of 24 CFR Ch. XX installed and site-installed space conditioning...C-:+:-- -' plenum chamber. i 2. Enclosed support platforms conta air stream 3. Through-wall, through-floor, and I ceiling returns. (d) Return Air Requirements (e) HUD-Regulated Manufactured Hon Buildings 1. System design. 2 Closure requirements. (0 Air...

  12. Accessible buildings Moderately accessible buildings*

    E-Print Network [OSTI]

    Lee, Dongwon

    Campus neighborhood map Moderately accessible paths** Accessible building entrance via parking lot to the University Park campus. This map, provided by UAC, is designed to assist persons with disabilities in finding accessibility. Your observations and suggestions regarding architectural For more information on UAC, you can

  13. 1999 Commercial Building Characteristics--Building Activity Comparison

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

    Building Activity Comparison Percentage of Floorspace and Buildings by Principal Building Activity, 1999 Percentage of Floorspace and Buildings by Principal Building Activity,...

  14. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  15. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  16. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  17. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed before 1980, organized by building type and location. A summary ofbuilding types and climate zones is available for reference. Current versions are also available.

  18. Energy 101: Energy Efficient Commercial Buildings

    ScienceCinema (OSTI)

    None

    2014-06-26

    Learn how commercial buildings can incorporate whole-building design to save energy and money while enhancing performance and comfort. This video highlights several energy-saving features of the Research Support Facility at the Energy Department's National Renewable Energy Laboratory-a model for high-performance office building design.

  19. Energy 101: Energy Efficient Commercial Buildings

    SciTech Connect (OSTI)

    2014-03-14

    Learn how commercial buildings can incorporate whole-building design to save energy and money while enhancing performance and comfort. This video highlights several energy-saving features of the Research Support Facility at the Energy Department's National Renewable Energy Laboratory-a model for high-performance office building design.

  20. Buildings Interoperability Planning: Connected Buildings Interoperabil...

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

    Vision Context Steve Widergren PNNL 11 March 2015 Topics Purpose of meeting Buildings automation in the transformative time of connectivity Interoperability - a connected buildings...

  1. The Economics of Green Building

    E-Print Network [OSTI]

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

    2010-01-01

    Rental Sample Control Buildings PSM Controls Rated BuildingsSample Control Buildings PSM Controls Appendix Table A2 (Sample Control Buildings PSM Controls Rated Buildings Sales

  2. Application of the Gebhart-Block Model for Predicting Vertical Temperature Distribution in a Large Space Building with Natural Ventilation 

    E-Print Network [OSTI]

    Huang, C.; Song, Y.; Luo, X.

    2006-01-01

    Based on the Block model for predicting vertical temperature distribution in a large space, this paper describes an improved Gebhart-Block model for predicting vertical temperature distribution of a large space with natural ventilation...

  3. Building Envelope Stakeholder Workshop

    Broader source: Energy.gov [DOE]

    Oak Ridge National Laboratory is hosting a building envelope stakeholder workshop on behalf of the DOE Building Technologies Office.

  4. 1 Zoology Building 2 Cruickshank Building

    E-Print Network [OSTI]

    Neri, Peter

    1 Zoology Building 2 Cruickshank Building 3 23 St Machar Drive 4 King's Museum (Old Town House) 5 The Hub 6 St Mary's 7 Fraser Noble Building 8 Elphinstone Road Halls 9 The Sir Duncan Rice Library 10 Meston Building 11 Chaplaincy Centre 12 Confucius Institute 13 Security Office/Mailroom 14 Counselling

  5. CBEI: Enhancing OpenStudio for Airflow and Daylight Modeling...

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

    for Whole-Building Daylighting, Airflow, and Energy Modeling Leveraging Interoperable Building Information Modeling Data - 2014 BTO Peer Review Building Energy Modeling...

  6. 6th ACM Symposium on Solid Modeling and Applications, to appear June, 2001 Out-of-Core Build of a Topological Data Structure from Polygon Soup

    E-Print Network [OSTI]

    McMains, Sara

    not provide this information, which the ap- plication must then derive as it builds its own topological data. In this paper, we describe a new out-of-core al- gorithm that can build a topological data structure efficiently in memory, it is efficient for the application to build up its own topological data structure by in

  7. TITLE: Integrated Building Energy Efficiency HOSTS: Howard Chong, Brandon Hencey, and Kenneth Schlather

    E-Print Network [OSTI]

    Walter, M.Todd

    TITLE: Integrated Building Energy Efficiency HOSTS: Howard Chong, Brandon Hencey, and Kenneth Schlather DATE: May 28, 12-1pm, 300 Rice Hall Abstract: Several strands of building energy efficiency work of building energy efficiency work at Cornell. These include: Cooperative Extension, which has strength

  8. Categorical Exclusion (CX) Determinations By Date | Department...

    Office of Environmental Management (EM)

    (CX) Determinations By Date Categorical Exclusion (CX) Determinations By Date August 25, 2015 CX-012469: Categorical Exclusion Determination Gas Analysis Services CX(s) Applied:...

  9. Buildings*","Buildings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7 Relative Standard ErrorsYear Jan Feb MarA6. BuildingB7.

  10. Building America Building Science Translator

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p a l De pEnergy IndustrialofofBuilding Science Translator February

  11. Berkeley Lab to Help Build Straw Bale Building

    SciTech Connect (OSTI)

    Worsham, S.A.; Van Mechelen, G.

    1998-12-01

    The Shorebird Environmental Learning Center (SELC) is a new straw bale building that will showcase current and future technologies and techniques that will reduce the environmental impacts of building construction and operations. The building will also serve as a living laboratory to test systems and monitor their performance. The project will be the model for a building process that stops using our precious resources and reduces waste pollution. The rice straw that will be used for the bale construction is generally waste material that is typically burned--millions of tons of it a year--especially in California's San Joaquin Valley. Buildings have significant impacts on the overall environment. Building operations, including lighting, heating, and cooling, consume about 30% of the energy used in the United States. Building construction and the processes into making building materials consume an additional 8% of total energy. Construction also accounts for 39% of wood consumed in the U S, while 25% of solid waste volume is construction and demolition (C &D) debris. The SELC will incorporate a variety of materials and techniques that will address these and other issues, while providing a model of environmentally considered design for Bay Area residents and builders. Environmental considerations include energy use in construction and operations, selection of materials, waste minimization, and indoor air quality. We have developed five major environmental goals for this project: (1) Minimize energy use in construction and operations; (2) Employ material sources that are renewable, salvaged, recycled, and/or recyclable; (3) Increase building lifespan with durable materials and designs that permit flexibility and modification with minimal demolition; (4) Reduce and strive to eliminate construction debris; and (5) Avoid products that create toxic pollutants and make a healthy indoor environment.

  12. Bias in Predicting Annual Energy Use in Commercial Buildings with Regression Models Developed from Short Data Sets 

    E-Print Network [OSTI]

    Katipamula, S.; Reddy, T. A.; Claridge, D. E.

    1994-01-01

    An empirical or regression modeling approach is simple to develop and easy to use compared to use of detailed hourly simulations. Therefore, regression analysis has become a widely used tool in the determination of annual energy savings accruing...

  13. Text-Alternative Version: Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Office of Energy Efficiency and Renewable Energy (EERE)

    This is the Webcast of Renewable Energy and Competency model. Led by Linda Silverman an economist at Energy Efficiency and Renewable Energy and Pam Frugoli Department of Labor. This webcast was on...

  14. Date of Injury Date Time In Time Out

    E-Print Network [OSTI]

    : NORMAL Work Schedule (ie: MF, 8am5pm)First Name Last Name # of hours missed from work #12;RISK MGTDate of Injury Date Time In Time Out Total time worked medical appt no work within restrictions Next Medical Appointment(s): Tuesday of each week. Risk Mgt email: workcomp@colostate.edu; fax

  15. Building Blocks of the Universe

    E-Print Network [OSTI]

    Mehlhase, Sascha; The ATLAS collaboration

    2015-01-01

    This article presents possibilities to impart knowledge of and enthusiasm for particle physics to essentially all non-expert target audiences by the use of LEGO bricks and models of particle physics experiments built from these. Methods of using LEGO models, both as a passive exhibit and as part of interactive outreach events, are presented, along with a historical review of the “Build Your Own Particle Detector” programme and the corresponding idea of hosting competitions in building detector models in LEGO pieces as a perfect setting to grasp people’s attention, get them involved and ultimately convey knowledge in particle physics to them.

  16. Archived Reference Building Type: Stand-alone retail

    Broader source: Energy.gov [DOE]

    Here you will find past versions of the commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. A summary of building types and climate zones is available for reference. Current versions are also available.

  17. Do not write below this line ISSO Use Only ISSO Adviser || Date Received || Visa/Permit in Sage || Finances || Date sent to SEVIS/RTI || Date emailed

    E-Print Network [OSTI]

    Snider, Barry B.

    || Finances || Date sent to SEVIS/RTI || Date emailed International Students and Scholars Office| Academic

  18. 3D World Building System

    ScienceCinema (OSTI)

    None

    2014-02-26

    This video provides an overview of the Sandia National Laboratories developed 3-D World Model Building capability that provides users with an immersive, texture rich 3-D model of their environment in minutes using a laptop and color and depth camera.

  19. Building America Top Innovations Hall of Fame Profile - Building...

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

    Building America Top Innovations Hall of Fame Profile - Building America's Top Innovations Propel the Home Building Industry toward Higher Performance Building America Top...

  20. Building Science-Based Climate Maps - Building America Top Innovation...

    Energy Savers [EERE]

    Building Science-Based Climate Maps - Building America Top Innovation Building Science-Based Climate Maps - Building America Top Innovation Photo showing climate zone maps based on...

  1. Better Buildings Neighborhood Initiative Upgrades 100,000 Buildings...

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

    Buildings Neighborhood Initiative Upgrades 100,000 Buildings, Saves 730 Million on Energy Bills Better Buildings Neighborhood Initiative Upgrades 100,000 Buildings, Saves...

  2. Modeling and Control of Passive Chilled Beams with Underfloor Air Distribution of Ventilation in Office Buildings in Humid Climates 

    E-Print Network [OSTI]

    Negandhi, Vanita K

    2015-08-10

    other. Finally, summertime stratification measurements were taken in the offices and were combined with a CFD model of a single zone in Star CCM+ 9.04 to establish temperature and airflow profiles in the zones. These comfort studies were conducted...

  3. 2014 NEJC Save the Date (Spanish)

    Broader source: Energy.gov [DOE]

    2014 National Environmental Justice Conference and Training Program Save the Date, March 26 to 28, 2014

  4. LABORATORY SAFETY CHECKLIST LABORATORY: DATE

    E-Print Network [OSTI]

    Fleming, Andrew J.

    LABORATORY SAFETY CHECKLIST LABORATORY: DATE: RESPONSIBLE OFFICER: INSPECTION BY: Boxes/A indicates the item does not apply to this laboratory. 1 HAZARD IDENTIFICATION /x/NA Comments 1 in the laboratory? 1.2 Are current copies available of: (a) permits for notifiable or prohibited carcinogens, (b

  5. Dated:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding Low-Cost2 DOE HQSiteoC. DoranDatabase Help March 9,

  6. DATE:

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

    OR ALLEGED VIOLATIONS, FINES, AND PENALTIES, 3) ASSIGNMENT AND ADMINISTRATION OF CONTRACTS AND SUBCONTRACTS, 4) SMALL BUSINESS SUBCONTRACTING PLAN, 5) MATERIAL SAFETY DATA...

  7. DATE:

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

    to the instructions for Recipients on the form and content of their Annual Indirect Cost Proposal and Reconciliation submissions. This flash and its attachments will be...

  8. DATE

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

    CAES-061 292012 Rev. 04 CAES Microscopy & Characterization Suite (MaCS) Service Request Form Page 1 of 2 Contact Information: Requestor Name: *Researcher Name: Requestor Email:...

  9. DATE:

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

    assistance actions, will be provided in a separate Acquisition LetterFinancial Assistance Letter (ALFAL). AL-2011-04 addresses the following provisions of the Energy and...

  10. DATE:

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

    Act, 2014, Pub. L. No. 113-76. SUMMARY: Acquisition Letter (AL) 2014-04 and Financial Assistance Letter (FAL) 2014-01 have been revised to remove language from Section 502 that...

  11. DATE:

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

    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...

  12. DATE:

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

    Agreements and Acknowledgments SUMMARY: Acquisition Letter (AL) 2013-08 and Financial Assistance Letter (FAL) 2013-05 provide Contracting Officers with notice of the recently...

  13. DATE:

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

    Act, 2015, Pub.L. No 113-235. SUMMARY: Acquisition Letter (AL) 2015-04 and Financial Assistance Letter (FAL) 2015-03 provide implementing instructions and guidance for Division...

  14. DATE:

    Office of Environmental Management (EM)

    competitions. Word versions of the four templates will be available in the STRIPES Library. This Flash and its attachments will be available online within a day, at the...

  15. DATE:

    Energy Savers [EERE]

    be e-mailed directly to the Procurement Directors and made available in the STRIPES Library. This Flash and its attachments will be available online within a day, at the...

  16. DATE:

    Office of Legacy Management (LM)

    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...

  17. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding inCustomer-Comments Sign InTAMUiv e in663 DARHTJDA 1/31/13

  18. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding inCustomer-Comments Sign InTAMUiv e in663 DARHTJDA

  19. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding inCustomer-Comments Sign InTAMUiv e in663 DARHTJDA7:53 am,

  20. DATE:

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would like submit theCovalent Bonding inCustomer-Comments Sign InTAMUiv e in663 DARHTJDA7:53