Sample records for building models date

  1. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19T23:59:59.000Z

    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.

  2. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06T23:59:59.000Z

    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.

  3. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27T23:59:59.000Z

    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.

  4. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19T23:59:59.000Z

    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.

  5. Model Building Energy Code

    Broader source: Energy.gov [DOE]

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

  6. 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

  7. Better Buildings Neighborhood Program Business Models Guide:...

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

    Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model HVAC contractor business model...

  8. Building Information Modeling - A Minimum Mathematical Configuration 

    E-Print Network [OSTI]

    Bhandare, Ruchika

    2012-10-19T23:59:59.000Z

    information, whether it is in the form of drawings or documents. Building Information Modeling is the latest transformational technology that supports interactive development of design information for buildings. No single Building Information Modeling...

  9. Building Energy Modeling Library

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavidDepartment ofAmir

  10. 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 DataDepartment of Energy Your Density Isn't Your Destiny: The FutureComments fromof Energy Automation WorldofAutotune Building Energy

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

    E-Print Network [OSTI]

    s Rated Btu input Condition s Combustion air: is there at least one square inch free area per 2,000 Btu input? s Fuel or combustion odors Cooling Tower s Clean? no leaks or overflow? Slime or algae growth? s Waste oil and refrigerant properly stored and disposed of? #12;Building Name

  12. Autotune E+ Building Energy Models

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

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

  13. Better Buildings Neighborhood Program Business Models Guide ...

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

    Guide Better Buildings Neighborhood Program Business Models Guide Uses lessons learned from Better Buildings grantees, existing data, and private sector insights to highlight...

  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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb 8 201

  15. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb 8

  16. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb 83-E

  17. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb

  18. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb2-AW Feb

  19. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb2-AW

  20. 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041clothAdvanced Materials Advanced MaterialsEnergy,Envelope SHARE Building Envelopes101-HV Feb2-AWWA

  1. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

    books · "The Elements of Graphing Data", William Cleveland, 2nd Ed. · "Visualizing Data", WilliamBuilding statistical models by visualization Tom Minka CMU Statistics Dept #12;Outline-scatterplot for unpaired data · Quantile of x = fraction of points

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

    E-Print Network [OSTI]

    Terwilliger, T. C.; 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

    2008-01-01T23:59:59.000Z

    Iterative model-building, structure refinement, and densitytool for iterative model- building, structure refinement andusing RESOLVE or TEXTAL model- building, RESOLVE statistical

  3. BREA Minutes Meeting Date and Place: Tuesday, Oct. 14, 2014; Building 400, Rm RSB 2

    E-Print Network [OSTI]

    Johnson, Peter D.

    BREA Minutes Meeting Date and Place: Tuesday, Oct. 14, 2014; Building 400, Rm RSB 2 Attendees live in New York State (NYS), you can change your medical plan after the first year ­ i.e., if you in NYS. Our current insurance with CIGNA is through the Lab, which is selfinsured. How long

  4. Better Buildings Neighborhood Program Business Models Guide:...

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

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

  5. Better Buildings Neighborhood Program Business Models Guide:...

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

    Utility program administrator market utilityprogramadministratormarket.pdf More Documents & Publications Better Buildings Neighborhood Program Business Models Guide: Utility...

  6. 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

  7. Modeling of Residential Buildings and Heating Systems

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01T23:59:59.000Z

    -zone building model is used in each case. A model of the heating system is also used for the multi-storey building. Both co-heating and tracer gas measurements are used in order to adjust the parameters of each building model. A complete monitoring...

  8. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01T23:59:59.000Z

    -zone building model is used in each case. A model of the heating system is also used for the multi-storey building. Both co-heating and tracer gas measurements are used in order to adjust the parameters of each building model. A complete monitoring...

  9. St. Paul -West 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

    's cooling system is scheduled to be on. Status Color Code: On In Progress Not started Building Name BuildingSt. Paul - West Bank District Heating-to-Cooling Conversion Plan Check the date your building # Date Central Cooling On Status Date Window A/C Units installed Status 19th ave ramp 217 N/A N/A N/A 21

  10. Health Sciences 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

    system is scheduled to be on. Status Color Code: On In Progress Not started *** - Typically between May 1Health Sciences District Heating-to-Cooling Conversion Plan Check the date your building's cooling-15, as requested. Building Name Building # Date Central Cooling On Status Date Window A/C Units installed Status

  11. 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 is scheduled to be on. Status Color Code: On In Progress Not started Building Name Building # Date Central Cooling On Status Date Window A/C Units installed Status 1425 University Ave. 127 1901 University Ave SE

  12. 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.

  13. DATE

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

    4 SECTION A. Project Title: Materials and Fuels Complex (MFC) Infrastructure Upgrades - Technical Support Building SECTION B. Project Description: Materials and Fuels Complex (MFC)...

  14. Date

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

    Revised: 6122014 Template Reviewed: 6122014 Operated for the U.S. Department of Energy by Sandia Corporation P.O. Box 5800 MS-1461 Albuquerque, New Mexico 87185-1461 Date...

  15. DOE Commercial Building Benchmark Models: Preprint

    SciTech Connect (OSTI)

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

    2008-07-01T23:59:59.000Z

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

  16. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 201122 DATE:

  17. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 201122 DATE:2-

  18. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 20112219 DATE:

  19. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,09 DATE:

  20. 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.

  1. Automatic building modeling from terrestrial laser scanning

    E-Print Network [OSTI]

    Pu, Shi

    Automatic building modeling from terrestrial laser scanning Shi Pu International Institute for Geo hard to recover 3D building structures from 2D image. Recent studies ([2] [6]) show that laser scanning imagery, airborne and terrestrial laser scanning give explicit 3D information, which enables the rapid

  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. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 2011 TO:

  4. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 2011 TO:4

  5. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 2011

  6. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 201122

  7. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 20112219

  8. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 201122194

  9. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 2011221948

  10. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9, 20112219489

  11. DATE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,

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

    E-Print Network [OSTI]

    Jeong, Woon Seong

    2014-09-05T23:59:59.000Z

    the framework, and (2) the model manually created using Lawrence Berkeley National Laboratory’s Modelica Buildings library. The results show that the framework: (1) enables BIM models to be translated into ModelicaBEM models, (2) enables system interface...

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

    E-Print Network [OSTI]

    Towards a Very Low Energy Building Stock: Modeling the US Commercial Building Sector to Support and continuing development of a model of time varying energy consumption in the US commercial building stock targeting very low future energy consumption in the building stock. Model use has highlighted the scale

  14. Building Energy Modeling (BEM) 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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavidDepartment of

  15. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01T23:59:59.000Z

    VOLUME 12, NUMBER 4 HVAC&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... the uncalibrated simulations were completed. The dis- crepancies between the simulated and measured total yearly building energy use varied over ±30% with one outlier. The results show that discrepancies ranged over ±90% between the sim- ulations and the measured...

  16. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

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

  17. Distributed Probabilistic Model-Building Genetic Algorithm

    E-Print Network [OSTI]

    Dongarra, Jack

    is considered by Principal Component Analysis (PCA) when the off- springs are generated. The island modelDistributed Probabilistic Model-Building Genetic Algorithm Tomoyuki Hiroyasu1 , Mitsunori Miki1), Distributed PMBGA (DPMBGA), is proposed. In the DPMBGA, the correlation among the design variables

  18. Supersymmetric Model Building (and Sweet Spot Supersymmetry)

    E-Print Network [OSTI]

    Masahiro Ibe; Ryuichiro Kitano

    2007-12-19T23:59:59.000Z

    It has been more than twenty years since theorists started discussing supersymmetric model building/phenomenology. We review mechanisms of supersymmetry breaking/mediation and problems in each scenario. We propose a simple model to address those problems and discuss its phenomenology.

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

    SciTech Connect (OSTI)

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

    2011-02-01T23:59:59.000Z

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

  20. Model building techniques for analysis.

    SciTech Connect (OSTI)

    Walther, Howard P.; McDaniel, Karen Lynn; Keener, Donald; Cordova, Theresa Elena; Henry, Ronald C.; Brooks, Sean; Martin, Wilbur D.

    2009-09-01T23:59:59.000Z

    The practice of mechanical engineering for product development has evolved into a complex activity that requires a team of specialists for success. Sandia National Laboratories (SNL) has product engineers, mechanical designers, design engineers, manufacturing engineers, mechanical analysts and experimentalists, qualification engineers, and others that contribute through product realization teams to develop new mechanical hardware. The goal of SNL's Design Group is to change product development by enabling design teams to collaborate within a virtual model-based environment whereby analysis is used to guide design decisions. Computer-aided design (CAD) models using PTC's Pro/ENGINEER software tools are heavily relied upon in the product definition stage of parts and assemblies at SNL. The three-dimensional CAD solid model acts as the design solid model that is filled with all of the detailed design definition needed to manufacture the parts. Analysis is an important part of the product development process. The CAD design solid model (DSM) is the foundation for the creation of the analysis solid model (ASM). Creating an ASM from the DSM currently is a time-consuming effort; the turnaround time for results of a design needs to be decreased to have an impact on the overall product development. This effort can be decreased immensely through simple Pro/ENGINEER modeling techniques that summarize to the method features are created in a part model. This document contains recommended modeling techniques that increase the efficiency of the creation of the ASM from the DSM.

  1. 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.

    2012-01-01T23:59:59.000Z

    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 tools (DOE 2.1e, the F...

  2. 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.

    2012-01-01T23:59:59.000Z

    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 tools (DOE 2.1e, the F...

  3. Heterotic Model Building: 16 Special Manifolds

    E-Print Network [OSTI]

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

    2014-05-13T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Xu, X.; Wang, S.

    2006-01-01T23:59:59.000Z

    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...

  5. Date [Rev 10/99] Name [MODEL LETTER OF INTENT

    E-Print Network [OSTI]

    Baker, Chris I.

    Date [Rev 10/99] Name [MODEL LETTER OF INTENT] Title Company Name Address Reference: Proposed CRADA CRADA Dear _____________________: Per our discussions, this Letter of Intent confirms our understanding and Development Agreement (CRADA) by the CRADA Subcommittee and approval by the Director, National Institute

  6. Scripted Building Energy Modeling and Analysis (Presentation)

    SciTech Connect (OSTI)

    Macumber, D.

    2012-10-01T23:59:59.000Z

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

  7. 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)

    2008-05-01T23:59:59.000Z

    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.

  8. 3457, Page, 1 Coupled CFD/Building Envelope Model

    E-Print Network [OSTI]

    Gugercin, Serkan

    ) for the building thermal network. The final form of the state-space building envelope system is: x(t) = A x(t) + Bw3457, Page, 1 Coupled CFD/Building Envelope Model for the Purdue Living Lab Donghun KIM (kim1077 features. In the present case we develop a procedure for coupling a building envelope model to a CFD

  9. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    more sophisticated building automation systems and buildingthrough the building automation system “Automated Logic Websystem. ALC is a building automation system, offering a user

  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. Model Building with F-Theory

    E-Print Network [OSTI]

    Ron Donagi; Martijn Wijnholt

    2012-04-03T23:59:59.000Z

    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.

  12. Uncalibrated Building Energy Simulation Modeling Results

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    for the Level 1 and Level 2 models with measured data for WERC (2004 post-commissioning data). ESL-PA-06-10-01 VOLUME 12, NUMBER 4, OCTOBER 2006 1151 Figure 6. Comparison of simulated daily total energy consumption for the Level 1 and Level 2 models with 1999...,450 m2]), the simulation using 1999 data underestimates the energy use in all categories except the whole building electrical usage. Table 3 identifies the magnitude of these discrepancies for a full year’s consumption. The Level 1 model actually per...

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01T23:59:59.000Z

    , cooling and heating and weather data using multiple linear regression models based on the simplified steady-state energy balance for a whole building. Two approaches using different response variables: the energy balance load (EBL) and the building thermal...

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01T23:59:59.000Z

    , cooling and heating and weather data using multiple linear regression models based on the simplified steady-state energy balance for a whole building. Two approaches using different response variables: the energy balance load (EBL) and the building thermal...

  15. Progress in D-brane model building

    E-Print Network [OSTI]

    Fernando Marchesano

    2007-03-05T23:59:59.000Z

    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. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

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

  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.

    2008-03-01T23:59:59.000Z

    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. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    % of the world's primary energy and contributes 21% of the world's greenhouse gas emissions (DOE Buildings Data Book 2011). The largest sector of energy consumption is the ~119 million buildings in the US which New, PhD Theodore Chandler Member ASHRAE ABSTRACT Building energy models of existing buildings

  19. 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

  20. BUILDING SURROGATE MODELS BASED ON DETAILED AND APPROXIMATE SIMULATIONS

    E-Print Network [OSTI]

    Seepersad, Carolyn Conner

    - Page 1 - BUILDING SURROGATE MODELS BASED ON DETAILED AND APPROXIMATE SIMULATIONS Zhiguang Qian is taken to integrate data from approximate and detailed simulations to build a surrogate model approximate simulations form the bulk of the data, and they are used to build a model based on a Gaussian

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

    E-Print Network [OSTI]

    LBNL-5735E Validation of the Window Model of the Modelica Buildings Library Thierry Stephane MODEL OF THE MODELICA BUILDINGS LIBRARY Thierry Stephane Nouidui, Michael Wetter, and Wangda Zuo the validation of the window model of the free open-source Modelica Buildings library. This paper starts

  2. Revision Date: 8/29/11 ETME 425 -Building Systems Fall 2011

    E-Print Network [OSTI]

    Dyer, Bill

    system integration. Incorporate the elements (pumps, fans, compressors, heat exchangers, heaters. HVAC Equipment 10. Sanitary Venting and Draining 3. Heat Loss and Heat Gain 7. Building Water Supply in modern buildings - including system selection, heating and cooling load calculations, component selection

  3. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    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.

  4. 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.

    2008-02-12T23:59:59.000Z

    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.

  5. Gauge symmetry breaking in orbifold model building

    E-Print Network [OSTI]

    Michele Trapletti

    2006-11-02T23:59:59.000Z

    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.

  6. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    control logic for building energy systems. Most moderncontrol actuators. Modern digital building automation systemssystem in the lab. The lab is equipped with a modern digital control

  7. 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.

    2011-01-01T23:59:59.000Z

    information from BIM to Radiance. For Building Integrated Photovoltaic (BIPV), we have researched on how to build solar models in BIM that can calculate solar position and solar insolation. 1.2 Research on BIM simplification methods, BIM topology, and data... we will continue investigating the use of Modelica to integrate the daylighting modeling with thermal modeling. 4 c) BIPV prototypes We have developed a Building Integrated Photovoltaic (BIPV) prototype in the BIM (Autodesk Revit) platform...

  8. Building a Network Simulation Model of the Teragrid Network

    E-Print Network [OSTI]

    Jiang, Wen

    Building a Network Simulation Model of the Teragrid Network Thomas Hacker Preston Smith* Computer are building largescale cyberinfrastructure systems, which couple computing, storage, data publishing is increasingly powered by simulation and analysis that combines high performance computers

  9. Hybrid Model for Building Performance Diagnosis and Optimal Control 

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01T23:59:59.000Z

    Modern buildings require continuous performance monitoring, automatic diagnostics and optimal supervisory control. For these applications, simplified dynamic building models are needed to predict the cooling and heating requirement viewing...

  10. FORESTRY BUILDING: BUILDING EMERGENCY PLAN

    E-Print Network [OSTI]

    FORESTRY BUILDING: BUILDING EMERGENCY PLAN Date Adopted: August 18, 2009 Date Revised June 17, 2013 Prepared By: Diana Evans and Jennifer Meyer #12;PURDUE UNIVERSITY BUILDING EMERGENCY PLAN VERSION 3 2 Table Suspension or Campus Closure SECTION 3: BUILDING INFORMATION 3.1 Building Deputy/Alternate Building Deputy

  11. Form Date 4/4/01 Refrigerant Service Order Form

    E-Print Network [OSTI]

    Russell, Lynn

    Form Date 4/4/01 Refrigerant Service Order Form Service ID: Owner: Work Order #: Building: Date: Issued: Completed: Equipment ID: Technicians: Location: Model: Manufact: Serial #: Refrigerant Type Minor Maintenance Recovery Vacuum: __________Inches Dispose of Unit Refrigerant Conversion Major

  12. Thermal building simulation and computer generation of nodal models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Thermal building simulation and computer generation of nodal models H. BOYER, J.P. CHABRIAT, B in the development of several packages simulating the dynamic behaviour of buildings. This paper shows the adaptation. This article shows the chosen method in the case of our thermal simulation program for buildings, CODYRUN. #12

  13. 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)

    2008-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

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

    tools Radiance and DAYSIM. Keywords: Building Information Modeling, BIM, Daylighting Simulation, Radiance, DAYSIM 1 Introduction Building performance analyses are important aspects of designing sustainable buildings. One of the performance analyses...) with daylighting analysis tools (Radiance and DAYSIM as sample simulation tools, which are widely used to study the daylighting performance of buildings). 2 Literature review 2.1 Daylighting simulation tools Over the years many analysis tools have been...

  15. 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.

  16. 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.

  17. Greensburg, Kansas: Building a Model Green Community, How Would...

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

    Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green? April 2009 (Brochure) This brochure describes the rebuilding of Greensburg, Kansas,...

  18. A Hybrid Model and MIMO Control for Intelligent Buildings Temperature

    E-Print Network [OSTI]

    Boyer, Edmond

    A Hybrid Model and MIMO Control for Intelligent Buildings Temperature Regulation over WSN Emmanuel is to propose a model-based feedback control strategy for indoor temperature regulation in buildings equipped. In order to set a model-based Fig. 1. UFAD ventilation control approach, we first investigate

  19. A View on Future Building System Modeling and Simulation

    SciTech Connect (OSTI)

    Wetter, Michael

    2011-04-01T23:59:59.000Z

    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).

  20. 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.

    2007-04-29T23:59:59.000Z

    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.

  1. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    Learning Control for Thermal Energy Storage Systems”. In:Predictive Control of Thermal Energy Storage in Buildingmaking use of building thermal energy storage, and this work

  2. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01T23:59:59.000Z

    California ABSTRACT Passive solar design can be encouragedpassive solar buildings and the a b i l i t y to predict the thermal response of various designs.

  3. Building Energy Modeling (BEM) Program Overview

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

    effective application of advanced BEM 3 DOE's Role BEM differs from windows, heat pumps & sensors * Information technology with no "unit" cost DOE can build it * An evaluation...

  4. Drawing interfaces : building geometric models with hand-drawn sketches

    E-Print Network [OSTI]

    Branda, Ewan E. (Ewan Edward), 1964-

    1998-01-01T23:59:59.000Z

    Architects work on drawings and models, not buildings. Today, in many architectural practices, drawings and models are produced in digital format using Computer-aided Design (CAD) tools. Unquestionably, digital media have ...

  5. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

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

    2012-09-30T23:59:59.000Z

    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.

  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 of stratospheric ozone return dates and ozone recovery in CCMVal-2 models V. Eyring1, I. Cionni1, G. E. Bodeker2, A September 2010 ­ Published: 7 October 2010 Abstract. Projections of stratospheric ozone from a suite

  7. A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA

    E-Print Network [OSTI]

    A HYGROTHERMAL BUILDING MODEL BASED ON THE OBJECT-ORIENTED MODELING LANGUAGE MODELICA Christoph modeling language Modelica. As a starting point for the development of the new building model (thermal building simulation). The first results of this research are Modelica-implementations of a thermal

  8. Using Simulation Models for Building Commissioning

    E-Print Network [OSTI]

    Claridge, D. E.

    2004-01-01T23:59:59.000Z

    , Sweden. This building utilizes multiple innovative HVAC systems. They used the IDA simulation environment to assess these untested HVAC-solutions and for dimensioning. During the initial commissioning they evaluated the performance using extensive... D2 is titled Use of Whole Building Simulation in Commissioning. Regular participants of the subtask meetings have included Oliver Baumann (Germany), David Claridge, Chair (USA), Jorgen Eriksson (Sweden), Nestor Fonseca, Johnny Holst (Norway), Per...

  9. 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

    2014-01-01T23:59:59.000Z

    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.

  10. 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

    2012-06-01T23:59:59.000Z

    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.

  11. 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.

    2012-01-01T23:59:59.000Z

    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...

  12. 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

    2010-01-01T23:59:59.000Z

    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

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

    SciTech Connect (OSTI)

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

    2012-05-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Foster, Leon Lewis

    2008-07-22T23:59:59.000Z

    Building Information Modeling (BIM) is a tool that has already changed the ways projects are conceived, designed, communicated and constructed by integrating the fragmented Architecture, Engineering, and Construction (AEC) industry. BIM has proven...

  15. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Hayek, Raja Fares

    1994-01-01T23:59:59.000Z

    the Reliability of the Translator . . DEVELOPMENT OF TRANSLATION PROGRAM Vl Vl1 1X Xl 13 17 17 18 18 18 19 20 CHAPTER The Modelling Pmgram . . Modelling Progratns Criteria for Selection of a Modelling Program Selection of a Modelling Program... APPENDICES . . APPENDIX I ELINK USER'S MANUAL II ELINK TUTORIAL III ADDITIONAL RELIABILITY TESTING RUNS IV ELINK PROGRAM LISTING VITA 60 60 61 64 65 67 69 70 81 91 96 133 LIST OF FIGURES FIGURE 1. Sequence of building project phases 2...

  17. 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

    INTERFACING BIM WITH BUILDING THERMAL AND DAYLIGHTING MODELING Wei Yan, Mark Clayton, Jeff Haberl, WoonSeong Jeong, Jong Bum Kim, Sandeep Kota, Jose Luis Bermudez Alcocer, and Manish Dixit Texas A&M University, College Station, USA... the BIM authoring tools’ Application Programming Interface (API) to translate BIM into Object-Oriented Physical Models (in Modelica) for building thermal simulation, and input files of ray-tracing software (Radiance) for daylighting simulation. Based...

  18. Building environment modeling and minimum-energy control

    E-Print Network [OSTI]

    Godfrey, James Bradford

    1980-01-01T23:59:59.000Z

    be expanded to study energy loss due to vapor condensation. The mathematical model of the building environment is simplified so that optimal temperature control can be studied. Simulations of the building environment heating system using feed- back.... Heating System Simulation. . OPTIMAL TEMPERATURE CONTROL. . . A. Def i ni ti ons 8, Model for the Dynamic Programming Algorithm C. The Dynamic Programming Algorithm. . D. Stochastic External Forcing Terms. . E. Optimal Stochastic Heating Control...

  19. 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

    2012-01-01T23:59:59.000Z

    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.

  20. 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.

    2012-01-01T23:59:59.000Z

    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...

  1. Mountain building in the Nepal Himalaya: Thermal and kinematic model

    E-Print Network [OSTI]

    Avouac, Jean-Philippe

    Mountain building in the Nepal Himalaya: Thermal and kinematic model L. Bollinger a,, P. Henry b. Courtillot Abstract We model crustal deformation and the resulting thermal structure across the Nepal: thermal model; temperature-time paths; inverted metamorphism; underplating; Himalayan orogen; Nepal

  2. Development of a Model Specification for Performance Monitoring Systems for Commercial Buildings

    E-Print Network [OSTI]

    Development of a Model Specification for Performance Monitoring Systems for Commercial Buildings the development of a model specification for performance monitoring systems for commercial buildings capabilities in #12;commercial buildings by demonstrating the capabilities of commercially available technology

  3. Duct thermal performance models for large commercial buildings

    SciTech Connect (OSTI)

    Wray, Craig P.

    2003-10-01T23:59:59.000Z

    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.

  4. 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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavidDepartment ofAmir Roth,

  5. Building Energy Modeling Projects | Department of Energy

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33Frequently20,000 RussianBy:WhetherNovember 13,National RenewableEnergyView the Building

  6. Building Energy Modeling | Department of Energy

    Energy Savers [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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments EnergyFebruary 29 - MarchCodes Resources Building CodesofDepartment

  7. 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.

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

    SciTech Connect (OSTI)

    Bazjanac, Vladimir

    2007-08-01T23:59:59.000Z

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

  9. Physical Building Information Modeling for Solar Building Design and Simulation- Annual Report 2012

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    . 6 Figure 6. Radiance rendering of the wall. c) BIM to BiPV We developed a Building Integrated Photovoltaic (BiPV) prototype in a BIM platform (Autodesk Revit) to calculate solar position and determine the amount of solar insolation from given... as the weather file. ? The room is lifted up from the earth, so the floor slab is not attached to the ground. ? This one room model consists of a roof, a floor, and four walls. ? No windows and doors are installed. ? All building components are made up of a...

  10. A Climate Modelling Primer Building an EBM with Excel

    E-Print Network [OSTI]

    McCready, Mark J.

    A Climate Modelling Primer Building an EBM with Excel 1. Introduction This document tells you how this guide to get the EBM coded up in whatever programming language you have available. To get a fuller understanding of where the equations come from, you'll need a copy of the book handy. 2. The model domain

  11. 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

  12. 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

  13. 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

    2011-01-01T23:59:59.000Z

    PASSIVE SOLAR BUILDING PERFORMANCE: A THEORETICAL APPROACH TO THE DESIGNpassive solar buildings, and the concommitant inability to predict the results of various designs.Passive solar modelling is worthwhile as a tool for imple- menting one important conservative strategy -- the use of building design

  14. 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

    2013-01-01T23:59:59.000Z

    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.

  15. Building Qualitative Models of Thermodynamic Processes

    E-Print Network [OSTI]

    Forbus, Kenneth D.

    of typical fluid and thermal systems, such as refrigerators and power plants . We use explicit modeling simplified versions of a refrigerator, a steam plant, and a thermal control system . Finally, we describe a Refrigerator 66 5 .5 Modeling a shipboard propulsion plant 70 5 .6 Summary of Examples 70 6 Discussion 72 7

  16. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01T23:59:59.000Z

    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.

  17. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01T23:59:59.000Z

    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.

  18. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    T mixed T amb d OA ?T supply Cooling Fan Heating 20 Time (models for supply fan (5.6), cooling and heating coils (5.7)Solar radiation u cooling/heating coils supply fan dampers

  19. Kalman Filter in the Real Time URBIS model Date June 2010

    E-Print Network [OSTI]

    Vuik, Kees

    2010-06-03 Kalman Filter in the Real Time URBIS model Date June 2010 Author(s) R. Kranenburg Keywords NOx, Real Time URBIS, Uncertainty, Rijnmond, Kalman filter, Screening process Target Master Thesis Analysis of the uncertainty of the Real Time URBIS model with a Kalman filter 7 1 Introduction 9 2 Model

  20. REPLACEMENT/STALE DATED CHEQUE REQUEST FORM Date: ____________________________ Student Number: _________________________

    E-Print Network [OSTI]

    Sinnamon, Gordon J.

    REPLACEMENT/STALE DATED CHEQUE REQUEST FORM Date: ____________________________ Student: _________________________ Cheque Date: _____________________ CHEQUE AMOUNT: ________________________ REASON FOR REPLACEMENT Building at the address below. Please indicate how you would like to receive your replacement cheque

  1. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear

  2. Building a WIM Data Archive for Improved Modeling, Design, and

    E-Print Network [OSTI]

    Bertini, Robert L.

    Building a WIM Data Archive for Improved Modeling, Design, and Rating Christopher Monsere Assistant, Washington, D.C. August 6, 2008 #12;Outline Data Almanac PORTAL WIM Archive Quality Control Sample Uses Redundant Array of Independent Disks (RAID) Web Interface #12;QUALITY CONTROL 14 #12;WIM Archive Quality

  3. MODEL BUILDING FOR INTERACTIVE SEGMENTATION OF THE FEMORAL HEAD

    E-Print Network [OSTI]

    McKenzie, Rick

    MODEL BUILDING FOR INTERACTIVE SEGMENTATION OF THE FEMORAL HEAD G ZSEMLYE 1 , G SZÉKELY 1 1 by the user. Our first #12;study concentrates on the femoral head, containing only two well defined point the femoral neck at its smallest perimeter with a circle and the femoral head with a half-sphere. After

  4. Model Predictive Control For Wind Excited Buildings: A Benchmark Problem

    E-Print Network [OSTI]

    Kareem, Ahsan

    control force; W is the wind excitation vector of dimension 24; and are control output vec- tor , , , , , , , and were given by Yang et al (1999) and have appropriate dimensions. The wind force data acting1 Model Predictive Control For Wind Excited Buildings: A Benchmark Problem Gang Mei, Student M

  5. UNEDITED PREPRINT Building a dynamic growth model for trembling

    E-Print Network [OSTI]

    García, Oscar

    UNEDITED PREPRINT Building a dynamic growth model for trembling aspen in Western Canada without age for even-aged thinned or unthinned stands dominated by trembling aspen. Estimation used permanent sample words: Forest growth and yield, Populus tremuloides, quacking aspen, thinning, dynamical systems, TAG. 1

  6. Comparison of Building Energy Modeling Programs: HVAC Systems

    E-Print Network [OSTI]

    LBNL-6432E Comparison of Building Energy Modeling Programs: HVAC Systems Xin Zhou1 , Tianzhen Hong2 programs (BEMPs) for HVAC calculations: EnergyPlus, DeST, and DOE-2.1E. This is a joint effort between purposes, BEMPs can be divided into load modules and HVAC system modules. This technical report

  7. Model building for flavor changing Higgs couplings

    E-Print Network [OSTI]

    Avital Dery; Aielet Efrati; Yosef Nir; Yotam Soreq; Vasja Susi?

    2014-09-21T23:59:59.000Z

    If $t\\rightarrow hq$ ($q=c,u$) or $h\\rightarrow\\tau\\ell$ ($\\ell=\\mu,e$) decays are observed, it will be a clear signal of new physics. We investigate whether natural and viable flavor models can saturate the present direct upper bounds without violating the indirect constraints from low energy loop processes. We carry out our analysis in two theoretical frameworks: minimal flavor violation (MFV) and Froggatt-Nielsen symmetry (FN). The simplest models in either framework predict flavor changing couplings that are too small to be directly observed. Yet, in the MFV framework, it is possible to have lepton flavor changing Higgs couplings close to the bound if spurions related to heavy singlet neutrinos play a role. In the FN framework, it is possible to have large flavor changing couplings in both the up and the charged lepton sectors if supersymmetry plays a role.

  8. Simulation Models to Optimize the Energy Consumption of Buildings

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    of building simulation important parameters are the occupancy and the control parameters. For a simple zone model the simple hourly method (SHM) according to ISO 13790 is used. This zone model is based on a five resistances and one capacitance (5R1C...) model (Figure 5). Figure 5. Five resistances, one capacitance (5R1C) model [ISO 13790:2007, p. 29] According to ISO 13790 the intention of the simple hourly method is to have a transparent, reproducible and robust model with a limited...

  9. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSLInformationMissouri:Catalyst2-Mpage?Brophy OccurrenceModel.

  10. Modeling distributed generation in the buildings sectors

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville PowerCherries 82981-1cnHighandSWPA / SPRA /Ml'. William Hirst HirstModelingAssessing the

  11. 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.

    2014-04-16T23:59:59.000Z

    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.

  12. On the geometry of cosmological model building

    E-Print Network [OSTI]

    Erhard Scholz

    2005-11-21T23:59:59.000Z

    This article analyzes the present anomalies of cosmology from the point of view of integrable Weyl geometry. It uses P.A.M. Dirac's proposal for a weak extension of general relativity, with some small adaptations. Simple models with interesting geometrical and physical properties, not belonging to the Friedmann-Lema\\^{\\i}tre class, are studied in this frame. Those with positive spatial curvature (Einstein-Weyl universes) go well together with observed mass density $\\Omega_m$, CMB, supernovae Ia data, and quasar frequencies. They suggest a physical role for an equilibrium state of the Maxwell field proposed by I.E. Segal in the 1980s (Segal background) and for a time invariant balancing condition of vacuum energy density. The latter leads to a surprising agreement with the BF-theoretical calculation proposed by C. Castro (2002).

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

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01T23:59:59.000Z

    storage in building cooling systems. Technical report,storage in building cooling systems. Decision and Control,for the Operation of Building Cooling Systems Yudong Ma ? ,

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

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01T23:59:59.000Z

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

  15. Duct thermal performance models for large commercial buildings

    E-Print Network [OSTI]

    Wray, Craig P.

    2003-01-01T23:59:59.000Z

    Energy Efficiency in Buildings, Efficiency and Sustainability,Energy Efficiency in Buildings, Efficiency and Sustainability,Energy Efficiency in Buildings, Efficiency and Sustainability,

  16. Speeding Up the Process of Modeling Temporary Structures in a Building Information Model Using Predefined Families

    E-Print Network [OSTI]

    Sabahi, Parsa

    2012-02-14T23:59:59.000Z

    It has been less than a decade that Building Information Modeling (BIM) has been used in construction industries. During this short period of time the application of this new modeling approach has increased significantly, but still the main users...

  17. Infiltration modeling guidelines for commercial building energy analysis

    SciTech Connect (OSTI)

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

    2009-09-30T23:59:59.000Z

    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.

  18. Agents and artefacts for multiple models co-evolution Building complex system simulation as a set of interacting models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Agents and artefacts for multiple models co-evolution Building complex system simulation as a set of modelling style. [...] Thus the distinction in Cite as: AA4MM: Building complex system simulation as a set. The challenge is then to allow those scientists to build a complex simulation from their own building blocks

  19. Building 235-F Goldsim Fate And Transport Model

    SciTech Connect (OSTI)

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

    2012-09-14T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2010-06-01T23:59:59.000Z

    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.

  1. Hybrid Model for Building Performance Diagnosis and Optimal Control

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01T23:59:59.000Z

    simulation model is based on first principles, either a detailed first principles model, such as EnergyPlus (Crawley and Drury 2000), DOE-2 (Ed Kidd et al. 2001), or a simplified first principles model, such as AIRMODEL (Giebler et al. 1998) which....D. (1999). Whole building diagnostics. http://poet.lbl.gov/diagworkshop/proceedings Crawley, Drury B. (2000). EnergyPlus: energy simulation program; ASHRAE Journal Apr 2000; Vol. 42(4):49-56. Davis L. (1991). Handbook of genetic algorithms. New...

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

    E-Print Network [OSTI]

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

    2004-01-01T23:59:59.000Z

    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...

  3. Studio Education for Integrated Practice Using Building Information Modeling

    E-Print Network [OSTI]

    O?zener, Ozan O?zener

    2011-02-22T23:59:59.000Z

    ; M.Arch., Istanbul Technical University Chair of Advisory Committee: Dr. Mark J. Clayton This research study posits that an altered educational approach to design studio can produce future professionals who apply Building Information Modeling... (BIM) in the context of Integrated Project Delivery (IPD) to execute designs faster and produce designs that have demonstrably higher performance. The combination of new technologies and social/contractual constructs represents an alternative...

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

    SciTech Connect (OSTI)

    Foster, I.

    1992-12-31T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Foster, I.

    1992-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    describes the implementation of the room heat transfer model in the free open-source Modelica "Buildings

  7. Simulation and Big Data Challenges in Tuning Building Energy Models

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

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

  8. 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

  9. 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

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

    SciTech Connect (OSTI)

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

    2013-09-06T23:59:59.000Z

    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.

  11. 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 ...

  12. An Instanton Toolbox for F-Theory Model Building

    E-Print Network [OSTI]

    Joseph Marsano; Natalia Saulina; Sakura Schafer-Nameki

    2009-07-23T23:59:59.000Z

    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.

  13. 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

  14. Greensburg, Kansas: Building a Model Green Community, How Would...

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

    Study Database The Greensburg High Performance Buildings Database highlights building case studies that include design details and energy information for the town's new...

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

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01T23:59:59.000Z

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

  16. 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.

    2013-01-01T23:59:59.000Z

    Building Energy Simulation (BES) models play a significant role in the design and optimisation of buildings. Simulation models may be used to compare the cost-effectiveness of Energy- Conservation Measures (ECMs) in the design stage as well...

  17. TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    TIME-VARYING LINEAR MODEL APPROXIMATION: APPLICATION TO THERMAL AND AIRFLOW BUILDING SIMULATION Nowadays, most of the numerical tools dedicated to simulating the thermal behavior of buildings, consider is demonstrated by its application to the simulation of a multi-zones building. THERMAL AND AIRFLOW MODELS

  18. State-based Modeling of Buildings and Facilities 

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

    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...

  19. 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)

    2010-03-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    2008-01-01T23:59:59.000Z

    -ICE for the same building. The dataset collected at the demonstration building consists of total energy consumption, weather data, indoor conditions and HVAC system parameters, measured in at least hourly time steps. This paper presents the first steps in modelling...

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

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from the building so the simulation output closely follows the measured time series energy consumption data and shows...

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

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    -ICE for the same building. The dataset collected at the demonstration building consists of total energy consumption, weather data, indoor conditions and HVAC system parameters, measured in at least hourly time steps. This paper presents the first steps in modelling...

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    We have studied a low energy building on a campus of theEnergyPlus Model in a Low Energy Campus Building Junqiao HanEnergyPlus Model in a Low Energy Campus Building Junqiao Han

  4. INSERT YOUR BUILDING NAME HERE: BUILDING EMERGENCY PLAN

    E-Print Network [OSTI]

    INSERT YOUR BUILDING NAME HERE: BUILDING EMERGENCY PLAN Date Adopted: 6/4/13 Date Revised: 6/4/13 Prepared By: Tracey Simmerman #12;PURDUE UNIVERSITY BUILDING EMERGENCY PLAN VERSION 3 2 Table of Contents Suspension or Campus Closure SECTION 3: BUILDING INFORMATION 3.1 Building Deputy/Alternate Building Deputy

  5. Modeling National Impacts for the Building America Program

    SciTech Connect (OSTI)

    Coughlin, Katie M.; McNeil, Michael A.

    2006-06-15T23:59:59.000Z

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

  6. 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

  7. 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

    2014-12-15T23:59:59.000Z

    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...

  8. 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

  9. Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,*

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Ventilation performance prediction for buildings: Model Assessment Qingyan Chena,b,* , Kisup Leeb ventilation systems for buildings requires a suitable tool to assess the system performance-scale experimental, multizone network, zonal, and CFD) for predicting ventilation performance in buildings, which can

  10. PENMAN Upper Model Building a LargeScale Knowledge Base for Machine Translation

    E-Print Network [OSTI]

    Knight, Kevin

    f g et al. Abstract PENMAN Upper Model Building a Large­Scale Knowledge Base for Machine­ gineer to build up an index to a KB in a second language, such as Spanish or Japanese. USC is a three­site collabora­ tive effort to build a large­scale knowledge­based ma­ chine translation system

  11. Pseudo Dynamic Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Transitional Modeling of Building Heating Energy Demand Using Artificial1 Neural Network2 Subodh Paudel a, it is39 essential to know energy flows and energy demand of the buildings for the control of heating and40 cooling energy production from plant systems. The energy demand of the building system, thus,41

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

    E-Print Network [OSTI]

    Brana, Rodrigo

    1985-01-01T23:59:59.000Z

    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. ...

  13. Model-based benchmarking with application to laboratory buildings

    E-Print Network [OSTI]

    Federspiel, Clifford Ph.D.; Zhang, Qiang; Arens, Edward Ph.D

    2002-01-01T23:59:59.000Z

    hydraulic elevators more than buildings with counterweighted elevators. Efficient air distribution VAV laboratories will use considerably less energy

  14. Building Simulation Modelers Are we big data ready?

    E-Print Network [OSTI]

    Tennessee, University of

    · Plugs · Lights · Range · Washer · Radiated heat · Dryer · Refrigerator · Dishwasher · Heat pump air flow buildings during the development process. Fleet of Residential `Test Buildings' Two Light Commercial `Test Buildings' #12;7 Real demonstration facilities Residential homes 2800 ft2 residence 269 sensors @ 15-minutes

  15. 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)

    2010-03-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    of Automated Demand Response in a Large Office Building”, inBuilding Control Strategies and Techniques for Demand Response.Demand Response Performance with an EnergyPlus Model in a Low Energy Campus Building

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

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01T23:59:59.000Z

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

  1. A Fiber Tracking Method for Building Patient Specific Dynamic Musculoskeletal Models from

    E-Print Network [OSTI]

    Gilles, Benjamin

    A Fiber Tracking Method for Building Patient Specific Dynamic Musculoskeletal Models from Diffusion tracking algorithm based on an energy minimizing active curve that is well suited for building these strand and FEM models are complex to construct and time intensive to simulate. Recently a new simulation

  2. Computational Science Technical Note CSTN-052 Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds

    E-Print Network [OSTI]

    Hawick, Ken

    }, title = {Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds}, journal0 Computational Science Technical Note CSTN-052 Simulation Modelling and Visualisation: Toolkits for Building Artificial Worlds Daniel Peter Playne and Anton P Gerdelan and Arno Leist and Chris J Scogings

  3. A New Empirical Model for Predicting Single-Sided, Wind-Driven Natural Ventilation in Buildings

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    A New Empirical Model for Predicting Single-Sided, Wind-Driven Natural Ventilation in Buildings-sided natural ventilation is difficult due to the bi-directional flow at the opening and the complex flow around buildings. A new empirical model was developed that can predict the mean ventilation rate and fluctuating

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

    E-Print Network [OSTI]

    LBNL-5932E Validation and Application of the Room Model of the Modelica Buildings Library Authors and Technologies Division September 2012 Presented at the 9th International Modelica Conference 2012 #12;DISCLAIMER of California. #12;Validation and Application of the Room Model of the Modelica Buildings Library Thierry

  5. ThreadedComposite: A Mechanism for Building Concurrent and Parallel Ptolemy II Models

    E-Print Network [OSTI]

    ThreadedComposite: A Mechanism for Building Concurrent and Parallel Ptolemy II Models Edward A. Lee Electrical Engineering and Computer Sciences University of California at Berkeley Technical Report No. UCBComposite: A Mechanism for Building Concurrent and Parallel Ptolemy II Models Edward A. Lee UC Berkeley eal

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

    SciTech Connect (OSTI)

    Griffith, B.

    2006-11-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2009-01-01T23:59:59.000Z

    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 energy...

  8. TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    TRNSYS MODELING OF A HYBRID LIGHTING SYSTEM: BUILDING ENERGY LOADS AND CHROMATICITY ANALYSIS Frank-Solar Energy Laboratory 1500 Engineering Drive Madison, WI, 53706 USA fwburkholder@wisc.edu ABSTRACT The TRNSYS of the spectral model was necessary to perform building illumination and energy load analyses on a 2500 m2 office

  9. A Data Mining Framework for Building Intrusion Detection Models # Salvatore J. Stolfo

    E-Print Network [OSTI]

    Lee, Wenke

    A Data Mining Framework for Building Intrusion Detection Models # Wenke Lee Salvatore J. Stolfo Kui. In this paper, we describe a data mining framework for adaptively building Intrusion Detection (ID) models each network connection or host ses­ sion, and apply data mining programs to learn rules

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

    E-Print Network [OSTI]

    Fuller, Pierre (Pierre Henri)

    2009-01-01T23:59:59.000Z

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

  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.

    analysis to identify these models. However, such models tend to suffer from physically unreasonable regression coefficients and instability due to the fact that the predictor variables (i.e., climatic parameters, building internal loads, etc...

  12. 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

    2010-01-01T23:59:59.000Z

    World Energy Outlook (IEA 2008), the bottom up models supporting IPCC “economic mitigation potentials” (IPCC 2007), the buildings chapter of the US assessment

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    of building the paper precedes energy evaluation. There is method of ambiguity synthesis evaluation chiefly, but ambiguity optimization model gets weight normalization indicator by adopting commonly expert evaluation or empirical evidence method, so... and Comfort, Vol. VI-3-1 The evaluation of building energy efficiency evaluation subentry index and establishment of reference grade table The value of building energy efficiency subentry index evaluation should be graded by authoritative experts...

  14. Creative agencies : a model for building community capacity

    E-Print Network [OSTI]

    Ramaccia, Elizabeth M. (Elizabeth Marie)

    2011-01-01T23:59:59.000Z

    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. ...

  15. Design and thermal modeling of a residential building

    E-Print Network [OSTI]

    Yeh, Alice Su-Chin

    2009-01-01T23:59:59.000Z

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

  16. Experiences with Modelling Issues in Building Probabilistic Networks

    E-Print Network [OSTI]

    Utrecht, Universiteit

    and Eveline M. Helsper Institute of Information and Computing Sciences, Utrecht University, P.O. Box 80.089, 3508 TB Utrecht, The Netherlands {linda,eveline}@cs.uu.nl Abstract. Building a probabilistic network

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bou-Saada, Tarek Edmond

    1994-01-01T23:59:59.000Z

    With the increased use of building energy simulation programs, calibration of simulated data to measured data has been recognized as an important factor in substantiating how well the model fits a real building. Model calibration to measured monthly...

  19. A COMPARISON BETWEEN CODYRUN AND TRNSYS, SIMULATION MODELS FOR THERMAL BUILDINGS BEHAVIOUR.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A COMPARISON BETWEEN CODYRUN AND TRNSYS, SIMULATION MODELS FOR THERMAL BUILDINGS BEHAVIOUR. F different configurations and were build for different purposes. Simulations have been carried out on two; E.Mail : lucas@iremia.univ-reunion.fr ABSTRACT: Simulation codes of thermal behaviour could

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

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    A Occupancy Modeling and Prediction for Building Energy Management Varick L. Erickson, University.Cerpa, University of California, Merced Heating, cooling and ventilation accounts for 35% energy usage in the United and Prediction for Building Energy Management and Auditing. ACM Trans. Sensor Netw. V, N, Article A (August 2012

  1. Building sector: state of the market and two models on how to reach it

    SciTech Connect (OSTI)

    Holtz, M.J.

    1980-08-30T23:59:59.000Z

    Two subjects related to marketing solar energy in the buildings sector are discussed: first, the market size defined in terms of number of housing units and square feet of commercial floor space and their energy use characteristics and, second, several models SERI has developed and is using to move solar energy/energy efficiency into the mainstream of residential and commercial building construction. (MHR)

  2. Building ventilation : a pressure airflow model computer generation and elements of

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Building ventilation : a pressure airflow model computer generation and elements of validation H when heating a residential building, approximately 30% of the energy loss is due to air renewal[1. Thus in tropical climates, natural ventilation affects essentially the inside comfort by favouring

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

    SciTech Connect (OSTI)

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

    2011-12-01T23:59:59.000Z

    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.

  4. 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

    2014-02-28T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Dong, B.

    2013-01-01T23:59:59.000Z

    distributed Direct Digital Control System (DDC) 4 7114 7113 ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Technology Approaches 5 Core Layer: BIM-based Database BIM to BEM Real-time Data Acquisition... Technologies Research Center ESL-KT-13-12-18 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...

  6. Building Energy Simulation & Modeling | Department of Energy

    Energy Savers [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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO OverviewAttachments EnergyFebruary 29 - MarchCodes Resources BuildingInnovation |Building

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

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

  8. EIA models and capacity building in Viet Nam: an analysis of development aid programs

    SciTech Connect (OSTI)

    Doberstein, Brent

    2004-04-01T23:59:59.000Z

    There has been a decided lack of empirical research examining development aid agencies as 'agents of change' in environmental impact assessment (EIA) systems in developing countries, particularly research examining the model of environmental planning practice promoted by aid agencies as part of capacity building. This paper briefly traces a conceptual framework of EIA, then introduces the concept of 'EIA capacity building'. Using Viet Nam as a case study, the paper then outlines the empirical results of the research, focusing on the extent to which aid agency capacity-building programs promoted a Technical vs. Planning Model of EIA and on the coherence of capacity-building efforts across all aid programs. A discussion follows, where research results are interpreted within the Vietnamese context, and implications of research results are identified for three main groups of actors. The paper concludes by calling for development aid agencies to reconceptualise EIA capacity building as an opportunity to transform developing countries' development planning processes.

  9. 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...

  10. Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis -Western Cooling Efficiency Center

    E-Print Network [OSTI]

    California at Davis, University of

    Modeling Ventilation in Multifamily Buildings John Markley, University of California, Davis Efficiency Center Garth Torvestad, Benningfield Group, inc. ABSTRACT Proper ventilation is an essential that require special consideration in order to avoid excessive ventilation and energy waste. Two issues

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

    Broader source: Energy.gov [DOE]

    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...

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

    E-Print Network [OSTI]

    Fernandez, Thomas

    A FAST MODEL-BUILDING METHOD FOR TIME SERIES USING GENETIC PROGRAMMING I. Yoshihara Faculty) financial problems e.g. stock price indices and gold prices. The experiments lead us to the conclusion

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

    E-Print Network [OSTI]

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

    1993-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Song, Jing, 1972-

    2004-01-01T23:59:59.000Z

    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 ...

  15. 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...

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

    SciTech Connect (OSTI)

    Oar, D.L.

    1994-09-29T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01T23:59:59.000Z

    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 ...

  18. Generic Models in the Design of Solar Commercial Buildings , N. ISAACS1

    E-Print Network [OSTI]

    Amor, Robert

    Generic Models in the Design of Solar Commercial Buildings M. DONN1 , N. ISAACS1 School). While it is relatively simple to encapsulate the mathematical expertise of a services engineer

  19. Building Dynamic Models of Service Compositions with Simulation of Provision Resources

    E-Print Network [OSTI]

    Dustdar, Schahram

    Building Dynamic Models of Service Compositions with Simulation of Provision Resources Dragan compositions depends both on the composition structure, and on planning and management of compu- tational resources necessary for provision. Resource constraints on the service provider side have impact

  20. Duct Thermal Performance Models for Large Commercial Buildings

    E-Print Network [OSTI]

    , and Don Shirey of the Florida Solar Energy Center and Pete Jacobs of the Architectural Energy Corporation buildings, and the author is grateful for their input. Advice from Michaël Kummert of the Solar Energy and EnergyPlus. This project evolved from the ideas and work of Mark Modera (LBNL), who was the original

  1. Modeling Building Thermal Response to HVAC Zoning Virginia Smith

    E-Print Network [OSTI]

    Whitehouse, Kamin

    . Much of this wasted energy is used to heat or cool unoccupied spaces during long periods when people HVAC systems account for 38% of building energy usage. Studies have indicated at least 5-15% waste due to unoccu- pied spaces being conditioned. Our goal is to minimize this waste by retrofitting HVAC systems

  2. 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

    2009-07-01T23:59:59.000Z

    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.

  3. Handling model uncertainty in model predictive control for energy efficient buildings

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Razmara, M; Shahbakhti, M; Sangiovanni-Vincentelli, Alberto

    2014-01-01T23:59:59.000Z

    trol for the operation of building cooling systems, IEEEK. Wirth, Energy ef?cient building climate control usingSagerschnig, E. Z ? á?ceková, Building [8] J. Prí vara, S.

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

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01T23:59:59.000Z

    buildings, Proceedings of the ACEEE 1992 Summer Study on Energy Efficiency in Buildings, 1, 137-147. Kaplan, M.B., Jones, B., Jansen, J., 1990. DOE- 2.1C Model calibration with monitored end-use data, Proceedings of the ACEEE 1990 Summer Study on Energy....E. Professor Texas A&M University Energy Systems Laboratory College Station, TX ABSTRACT A simulation model used to analyze the energy performance of an existing building should be calibrated to measured consumption data from...

  5. Community Development Building Division

    E-Print Network [OSTI]

    California Energy Commission 1516 Ninth Street Sacramento, Ca 95814-5514 Re: Green Building Ordinance of Los Altos Energy Efficiency Ordinance, Green Building Regulations under the 2005 California Building by the Board on that date. The Green Building Regulation, Chapter 12.66 of the City Municipal code, will ensure

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

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2013-01-01T23:59:59.000Z

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

  7. 2.5D Dual Contouring: A Robust Approach to Creating Building Models from Aerial LiDAR

    E-Print Network [OSTI]

    Southern California, University of

    thank Tao Ju, Suya You, and anonymous reviewers for their valuable comments. #12;2 Qian-Yi Zhou, Ulrich Neumann Fig. 2. Manually created models [3] show the 2.5D nature of building structures. The aerial Li few points on building walls connecting roof boundaries. In addition, manually created building models

  8. HyperKhaler Metrics Building and Integrable Models

    E-Print Network [OSTI]

    E. H. Saidi; M. B. Sedra

    2005-12-18T23:59:59.000Z

    Methods developed for the analysis of integrable systems are used to study the problem of hyperK\\"ahler metrics building as formulated in D=2 N=4 supersymmetric harmonic superspace. We show, in particular, that the constraint equation $\\beta\\partial^{++2}\\omega -\\xi^{++2}\\exp 2\\beta\\omega =0$ and its Toda like generalizations are integrable. Explicit solutions together with the conserved currents generating the symmetry responsible of the integrability of these equations are given. Other features are also discussed

  9. Using models of nucleotide evolution to build phylogenetic trees David H. Bosa,*, David Posadab

    E-Print Network [OSTI]

    Posada, David

    Using models of nucleotide evolution to build phylogenetic trees David H. Bosa,*, David Posadab. Some phylogenetic estimators use an explicit model of nucleotide evolution to estimate evolutionary statistical methods of selecting a particular model of nucleotide evolution, and provide an empirical example

  10. 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.

    of a building and three real-time building load forecasting models were developed. They are first-order autogressive model, random walk model and linear regression model. Finally, the comparison of results show the random walk model provides the best...

  11. Data Warehouse Model to Support Optimized Operation and Energy Savings in Buildings

    E-Print Network [OSTI]

    Stack, P.; Cahill, B.; Manzoor, F.; Menzel, K.

    2011-01-01T23:59:59.000Z

    University College Cork (Ireland) Department of Civil and Environmental Engineering Data Warehouse Model to support Optimized Operation and Energy Savings in Buildings Paul Stack, Brian Cahill, Farhan Manzoor, Prof. Karsten Menzel 20... October 2011 page 1ICEBO 2011 Session 10 - Brian Cahill University College Cork (Ireland) Department of Civil and Environmental Engineering ICT for Optimised Building Operation (ITOBO) 20 October 2011 ICEBO 2011 Session 10 - Brian Cahill page 2...

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

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    -performance measures 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... requirements. This base-case model consumed a total of 7,721 GJ/yr. As shown in Figure 22, the implementation of occupancy sensors impacted the energy consumption the most, saving 11.2% of the total energy consumption. By this measure, indoor lights were...

  13. 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

    1994-11-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01T23:59:59.000Z

    building systems for low energy buildings: System analysismeasurement of six low energy buildings in different partspointed out that low energy buildings may under- perform

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

    E-Print Network [OSTI]

    Burdet, Etienne; Morand, Denis; Diab, Youssef

    2014-01-01T23:59:59.000Z

    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 ...

  17. Development of a Model Specification for Performance MonitoringSystems for Commercial Buildings

    SciTech Connect (OSTI)

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

    2006-08-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01T23:59:59.000Z

    of the cooling towers while consuming less energy. Duringtowers, the thermal storage tank and the electricity energytowers, the thermal storage tank, the campus model and the electricity energy

  19. Radiocarbon Dating

    SciTech Connect (OSTI)

    Buchholz, B A

    2007-12-20T23:59:59.000Z

    Radiocarbon dating can be used to determine the age of objects that contain components that were once alive. In the case of human remains, a radiocarbon date can distinguish between a crime scene and an archeological site. Documents, museum artifacts and art objects can be dated to determine if their age is correct for the historical context. A radiocarbon date does not confirm authenticity, but it can help identify a forgery.

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

    SciTech Connect (OSTI)

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

    2009-03-01T23:59:59.000Z

    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.

  1. 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

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

    will be converted into daylighting models to run on the daylighting simulation engines. Once the architect defines the architectural model in CAD, a simulation expert creates the simulation input file to perform daylighting analysis. Each tool has its own way... the Radiance input file is created, different Radiance utilities are called using MS Windows BATCH scripting for doing a daylighting analysis [15]. In addition to AutoCAD, Radiance also has many utility programs that help in converting different geometry...

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

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01T23:59:59.000Z

    for building heating, ventilation and air-conditioningfor Building Heating, Ventilation and Air- Conditioning

  4. 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

    2011-03-17T23:59:59.000Z

    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.

  5. 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; M& #233; gel, Oliver; Bhattacharya, Prajesh; DeForest, Nicholas; Lai, Judy

    2011-03-18T23:59:59.000Z

    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.

  6. 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)

    2003-07-01T23:59:59.000Z

    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.

  7. Building ventilation: A pressure airflow model computer generation and elements of validation

    E-Print Network [OSTI]

    Boyer, H; Adelard, L; Mara, T A

    2012-01-01T23:59:59.000Z

    The calculation of airflows is of great importance for detailed building thermal simulation computer codes, these airflows most frequently constituting an important thermal coupling between the building and the outside on one hand, and the different thermal zones on the other. The driving effects of air movement, which are the wind and the thermal buoyancy, are briefly outlined and we look closely at their coupling in the case of buildings, by exploring the difficulties associated with large openings. Some numerical problems tied to the resolving of the non-linear system established are also covered. Part of a detailled simulation software (CODYRUN), the numerical implementation of this airflow model is explained, insisting on data organization and processing allowing the calculation of the airflows. Comparisons are then made between the model results and in one hand analytical expressions and in another and experimental measurements in case of a collective dwelling.

  8. A Caveat on Building Nonlocal Models of Cosmology

    E-Print Network [OSTI]

    N. C. Tsamis; R. P. Woodard

    2014-05-18T23:59:59.000Z

    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.

  9. Property:Buildings/ModelType | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName JumpModelType

  10. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear Jump

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

    SciTech Connect (OSTI)

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

    2002-08-01T23:59:59.000Z

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

  12. State-based Modeling of Buildings and Facilities

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

    to an intelligent monitoring. DIN EN ISO 16484 proposes a method to describe functional requirements in an easy to understand way. We extended its use of state machines to our proposed concept of state based modeling. This proved to be a wholesome approach to easily...

  13. Date: 04 February 2013 Page 1 Syllabus for 4.433 Modeling Urban Energy Flows

    E-Print Network [OSTI]

    Entekhabi, Dara

    ) and complete neighborhoods that include a hundred buildings or more. Students will learn about and practice to and good working knowledge of Rhino 5 (not 4.x!). "In 2008, the world reached an invisible but momentous, access to daylight as well as walkability and bikeability at these three scales through deliberate design

  14. Modeling of Emergency Fire Evacuation Routes of UMass Buildings Dana Evernden

    E-Print Network [OSTI]

    Mountziaris, T. J.

    : Professor James M. Smith, Mechanical & Industrial Engineering This project is concerned with modeling review of the output and input files. Lastly, the research work is transferred to a web site displaying and the overall design of the building. Industrial Engineering has yet to be applied to evacuation routes

  15. 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

  16. PHOTOREALISTIC BUILDING MODELING AND VISUALIZATION IN 3-D GEOSPATIAL INFORMATION SYSTEM

    E-Print Network [OSTI]

    Shan, Jie

    PHOTOREALISTIC BUILDING MODELING AND VISUALIZATION IN 3-D GEOSPATIAL INFORMATION SYSTEM Yonghak: Despite geospatial information systems are widely used in many different fields as a powerful tool in geospatial information system (GIS). Such 3-D photorealistic visualization is able to provide geospatial

  17. Extending ER Models to Capture Database Transformations to Build Data Sets for Data Mining

    E-Print Network [OSTI]

    Ordonez, Carlos

    transformation tables in abstract form can be useful not only for optimizing the generation of new data sets stages of data transformation, mathematical functions and the powerful SQL CASE statement, which doesExtending ER Models to Capture Database Transformations to Build Data Sets for Data Mining Carlos

  18. 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)

    2003-01-01T23:59:59.000Z

    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.

  19. A Data Mining Framework for Building Intrusion Detection Models Salvatore J. Stolfo

    E-Print Network [OSTI]

    Yang, Junfeng

    A Data Mining Framework for Building Intrusion Detection Models Wenke Lee Salvatore J. Stolfo Kui W of expert knowledge, changes to IDSs are expensive and slow. In this paper, we describe a data mining, and apply data mining programs to learn rules that accurately capture the behavior of intrusions and normal

  20. Building Dynamic Models of Service Compositions With Simulation of Provision Resources

    E-Print Network [OSTI]

    Politécnica de Madrid, Universidad

    Building Dynamic Models of Service Compositions With Simulation of Provision Resources Dragan of service compositions depends both on the composition structure, and on planning and management of compu- tational resources necessary for provision. Resource constraints on the service provider side have impact

  1. QUANTITATIVE ASSESSMENT OF THE IMPACT OF 3D MODELLING OF BUILDING STRUCTURES ON

    E-Print Network [OSTI]

    Sacks, Rafael

    to the firm's overall activity, because the greatest increase in productivity is achieved in this area; that construction companies can leverage the benefits in error reduction and logistics improvements that result PRODUCTIVITY Rafael Sacks1 and Ronen Barak2 ABSTRACT Parametric three-dimensional modelling of buildings

  2. Building an Efficient Model for Afterburn Energy Release

    SciTech Connect (OSTI)

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

    2012-02-03T23:59:59.000Z

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

  3. Property:Buildings/ModelClimateZone | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1 JumpModelClimateZone

  4. Property:Buildings/ModelName | 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName Jump to:

  5. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName Jump

  6. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName

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

    SciTech Connect (OSTI)

    Don Shirey

    2008-02-28T23:59:59.000Z

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

  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.

    2012-01-01T23:59:59.000Z

    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. DEVELOPMENT OF A PILED-FOUNDATION MODEL The models discussed in Chapter 3 illustrated the importance of modelling a building's foundation

    E-Print Network [OSTI]

    Talbot, James P.

    85 Chapter 4 DEVELOPMENT OF A PILED-FOUNDATION MODEL The models discussed in Chapter 3 illustrated-isolation. It was concluded that a generic base- isolated building model requires a comprehensive model of a piled foundation of the pile head due to longitudinal and transverse motion of the pile; · interaction between neighbouring

  10. 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)

    2003-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Sun, Kaiyu

    2014-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01T23:59:59.000Z

    supply temperature Zero energy buildings vi MS Thesis, Dept.marketable zero-energy commercial buildings (ZEBs) by 2025securing net zero energy commercial buildings is development

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

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01T23:59:59.000Z

    Digital Interfaces of the Building Controls Virtual Test5] M. Wetter, "Co-simulation of building energy and controlsystems with the Building Controls Virtual Test Bed,"

  14. 3-100.1 Building Evacuation 1 Building Evacuation

    E-Print Network [OSTI]

    Glebov, Leon

    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

  15. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-04-07T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Stefan Groot Nibbelink

    2015-02-12T23:59:59.000Z

    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.

  18. GetBonNie for building, analyzing and sharing rule-based models

    SciTech Connect (OSTI)

    Hu, Bin [Los Alamos National Laboratory

    2008-01-01T23:59:59.000Z

    GetBonNie is a suite of web-based services for building, analyzing, and sharing rule-based models specified according to the conventions of the BioNetGen language (BNGL). Services include (1) an applet for drawing, editing, and viewing graphs of BNGL; (2) a network-generation engine for translating a set of rules into a chemical reaction network; (3) simulation engines that implement generate-first, on-the-fly, and network-free methods for simulating rule-based models; and (4) a database for sharing models, parameter values, annotations, simulation tasks and results.

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

    E-Print Network [OSTI]

    Nibbelink, Stefan Groot

    2015-01-01T23:59:59.000Z

    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.

  20. Buildings Interoperability Landscape ? DRAFT

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

    of Heating, Refrigerating, and Air-Conditioning Engineers BACS building automation and control system BCHP building-cooling-heating-power BPM Business Process Modeling BTO...

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

    E-Print Network [OSTI]

    Miloslav Znojil

    2015-04-13T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    2008-11-10T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    1985-10-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Wansoo Ha; Changsoo Shin

    2014-08-20T23:59:59.000Z

    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.

  5. 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.

    1985-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1985-01-01T23:59:59.000Z

    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.

  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.

    2011-03-01T23:59:59.000Z

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01T23:59:59.000Z

    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–

  9. EIA Energy Efficiency-Commercial Buildings Sector Energy Intensities...

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

    Commercial Buildings Sector Energy Intensities Commercial Buildings Sector Energy Intensities: 1992- 2003 Released Date: December 2004 Page Last Revised: August 2009 These tables...

  10. Big Questions: The Ultimate Building Blocks of Matter

    SciTech Connect (OSTI)

    Lincoln, Don

    2013-11-06T23:59:59.000Z

    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.

  11. Big Questions: The Ultimate Building Blocks of Matter

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-07T23:59:59.000Z

    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.

  12. 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.

    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 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...

  13. 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.

    2013-01-01T23:59:59.000Z

    1 Karine Lavigne 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... ICEBO-2013 Groupe ? Technologie Calibrated Results 22 ICEBO-2013 12 Groupe ? Technologie Conclusion 23 ICEBO-2013 > Calibrating model for a demand response objective : Challenging and High Effort > Capturing building and human erratic behaviour...

  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.

    1994-01-01T23:59:59.000Z

    This paper presents the development of a methodology to determine retrofit energy savings in buildings when few measured preretrofit data are available. Calibration of the DOE-2 building energy analysis computer program for a 250,000 ft2 building...

  15. 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)

    2013-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

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

    1998-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

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

    1994-01-01T23:59:59.000Z

    This paper presents the development of a methodology to determine retrofit energy savings in buildings when few measured preretrofit data are available. Calibration of the DOE-2 building energy analysis computer program for a 250,000 ft2 building...

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

    E-Print Network [OSTI]

    Tuna, Zeynep

    2012-01-01T23:59:59.000Z

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

  19. DATE: TO:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,0928 - DATE:

  20. DATE: TO:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,0928 - DATE:41

  1. SEISMIC RESPONSE PREDICTION OF NUPEC'S FIELD MODEL TESTS OF NPP STRUCTURES WITH ADJACENT BUILDING EFFECT.

    SciTech Connect (OSTI)

    XU,J.COSTANTINO,C.HOFMAYER,C.ALI,S.

    2004-03-04T23:59:59.000Z

    As part of a verification test program for seismic analysis computer codes for Nuclear Power Plant (NPP) structures, the Nuclear Power Engineering Corporation (NUPEC) of Japan has conducted a series of field model tests to address the dynamic cross interaction (DCI) effect on the seismic response of NPP structures built in close proximity to each other. The program provided field data to study the methodologies commonly associated with seismic analyses considering the DCI effect. As part of a collaborative program between the United States and Japan on seismic issues related to NPP applications, the U.S. Nuclear Regulatory Commission sponsored a program at Brookhaven National Laboratory (BNL) to perform independent seismic analyses which applied common analysis procedures to predict the building response to recorded earthquake events for the test models with DCI effect. In this study, two large-scale DCI test model configurations were analyzed: (1) twin reactor buildings in close proximity and (2) adjacent reactor and turbine buildings. This paper describes the NUPEC DCI test models, the BNL analysis using the SASSI 2000 program, and comparisons between the BNL analysis results and recorded field responses. To account for large variability in the soil properties, the conventional approach of computing seismic responses with the mean, mean plus and minus one-standard deviation soil profiles is adopted in the BNL analysis and the three sets of analysis results were used in the comparisons with the test data. A discussion is also provided in the paper to address (1) the capability of the analysis methods to capture the DCI effect, and (2) the conservatism of the practice for considering soil variability in seismic response analysis for adjacent NPP structures.

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

    SciTech Connect (OSTI)

    Not Available

    2009-04-01T23:59:59.000Z

    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.

  3. Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town - Green?

    SciTech Connect (OSTI)

    Not Available

    2008-10-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01T23:59:59.000Z

    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

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

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01T23:59:59.000Z

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

  6. Pseudo dynamic transitional modeling of building heating energy demand using artificial neural network

    E-Print Network [OSTI]

    Paudel, Subodh; Elmtiri, Mohamed; Kling, Wil L; Corre, Olivier Le; Lacarriere, Bruno

    2014-01-01T23:59:59.000Z

    R. Satake, Prediction of energy demands using neural networkof Building Heating Energy Demand Using Artificial Neuralknow energy flows and energy demand of the buildings for the

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

    E-Print Network [OSTI]

    Coughlin, Katie

    2012-01-01T23:59:59.000Z

    Building Control Strategies and Techniques for Demand Response,for commercial buildings participating in a demand responsebuildings participating in an event-driven demand response

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

    SciTech Connect (OSTI)

    Brackney, L.

    2013-04-01T23:59:59.000Z

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

  9. 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.

    system simulation module. The DOE-2.2 is the simulation engine of eQUEST. The eQUEST/DOE- 2.2 program uses an enhanced g-function algorithm, which was proposed by Eskilson (1987) at Lund University, Sweden, for fast calculation of the borehole wall... & Renewable Energy: http://apps1.eere.energy.gov/buildings/energyplus/ Eskilson, P. 1987. Thermal analysis of heat extraction boreholes. Lund, Sweden: Doctoral thesis, University of Lund, Dept. of Mathmatics. Fisher, D., & Rees, S. 2005. Modeling ground...

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

    SciTech Connect (OSTI)

    Raustad, Richard

    2013-06-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

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

    1980-01-01T23:59:59.000Z

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

  12. 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

    2010-05-14T23:59:59.000Z

    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.

  13. 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

    2013-09-01T23:59:59.000Z

    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.

  14. 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.

    2007-01-01T23:59:59.000Z

    building life-cycle. during the Cx process shou evaluation procedures throug building. We call this the Embedde Approach (ECxA). In this ap defined as a building delive which persistently verifies intent throughout the building this viewpoint, buildings... plan for the ECxA of the radiant mullion system, and are in the initial shadowing stages of the installation of the new fan coil system. During recent meetings with IW staff including their controls specialist, Research Technician James Jarrett...

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

    E-Print Network [OSTI]

    Madhani, Himanshu 1986-

    2012-11-29T23:59:59.000Z

    for scheduled, proactive and (when necessary) reactive maintenance work. Globally, use of smart phones and various applications for home and office security has amplified. With increase in use of smart phones and applications by owners, such a tool would... that the building is a smart building which is synced with the system. Smart Buildings LLC (a US-based engineering and design firm) offers this definition: ?A smart building is the integration of building, technology, and energy systems. These systems may include...

  16. Building relativistic mean field models for finite nuclei and neutron stars

    E-Print Network [OSTI]

    Wei-Chia Chen; J. Piekarewicz

    2014-08-18T23:59:59.000Z

    Background: Theoretical approaches based on density functional theory provide the only tractable method to incorporate the wide range of densities and isospin asymmetries required to describe finite nuclei, infinite nuclear matter, and neutron stars. Purpose: A relativistic energy density functional (EDF) is developed to address the complexity of such diverse nuclear systems. Moreover, a statistical perspective is adopted to describe the information content of various physical observables. Methods: We implement the model optimization by minimizing a suitably constructed chi-square objective function using various properties of finite nuclei and neutron stars. The minimization is then supplemented by a covariance analysis that includes both uncertainty estimates and correlation coefficients. Results: A new model, FSUGold2, is created that can well reproduce the ground-state properties of finite nuclei, their monopole response, and that accounts for the maximum neutron star mass observed up to date. In particular, the model predicts both a stiff symmetry energy and a soft equation of state for symmetric nuclear matter--suggesting a fairly large neutron-skin thickness in Pb208 and a moderate value of the nuclear incompressibility. Conclusions: We conclude that without any meaningful constraint on the isovector sector, relativistic EDFs will continue to predict significantly large neutron skins. However, the calibration scheme adopted here is flexible enough to create models with different assumptions on various observables. Such a scheme--properly supplemented by a covariance analysis--provides a powerful tool to identify the critical measurements required to place meaningful constraints on theoretical models.

  17. 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

    2012-01-01T23:59:59.000Z

    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?

  18. 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

    2012-01-01T23:59:59.000Z

    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 

  19. 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

    2010-01-01T23:59:59.000Z

    for Achieving Net Zero-Energy Buildings in the CommercialD. Crawley (2006) Zero Energy Buildings: A Critical Look atcalls for net-zero energy commercial buildings by 2030 (

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

    Broader source: Energy.gov [DOE]

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

  1. 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.

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    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...

  3. DATE: PAGE:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,09

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

    SciTech Connect (OSTI)

    Griffith, B.; Crawley, D.

    2006-11-01T23:59:59.000Z

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

  5. Building Songs 10

    E-Print Network [OSTI]

    Zla ba sgrol ma

    2009-11-06T23:59:59.000Z

    . Sman shad building song 10.WAV Length of track 00:06:03 Related tracks (include description/relationship if appropriate) Title of track Building Songs 10 Translation of title Description (to be used in archive entry) Male villagers... sing a building song. Genre or type (i.e. epic, song, ritual) Building song Name of recorder (if different from collector) Zla ba sgrol ma Date of recording November 6th 2009. Place of recording Gad dmar khug market Mda' ma Township, Sde dge...

  6. Building Songs 11

    E-Print Network [OSTI]

    Zla ba sgrol ma

    2009-11-06T23:59:59.000Z

    . Sman shad building song 11.WAV Length of track 00:21:12 Related tracks (include description/relationship if appropriate) Title of track Building Songs 11 Translation of title Description (to be used in archive entry) Male villagers... sing a building song. Genre or type (i.e. epic, song, ritual) Building song Name of recorder (if different from collector) Zla ba sgrol ma Date of recording November 6th 2009. Place of recording Gad dmar khug market Mda' ma Township, Sde dge...

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

    E-Print Network [OSTI]

    Zhang, Jinsong, 1975-

    2001-01-01T23:59:59.000Z

    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 ...

  8. Accounting for the Occupancy Variable in Inverse Building Energy Baselining Models

    E-Print Network [OSTI]

    Claridge, D. E.

    2001-01-01T23:59:59.000Z

    .1-1989, Energy Efficient Design of New Buildings Except Low-Rise Residential Buildings. American Society of Heating, Refrigerating and Air-conditioning Engineers. Atlanta, Georgia. Bronson, D., 1992, ?Calibrated Computer Simulations for the Analysis of Retrofit...

  9. Identification, Model Updating, and Response Prediction of an Instrumented 15-Story Steel-Frame Building

    E-Print Network [OSTI]

    Skolnik, Derek; Lei, Ying; Yu, Eunjong; Wallace, J W

    2006-01-01T23:59:59.000Z

    A. , 1998. Ductile Design of Steel Structure, McGraw Hill,monitoring of the steel-frame UCLA Factor Building,an Instrumented 15-Story Steel-Frame Building Derek Skolnik,

  10. Sizing Thermally Activated Building Systems (TABS): A Brief Literature Review and Model Evaluation

    E-Print Network [OSTI]

    Basu, Chandrayee; Schiavon, Stefano; Bauman, Fred

    2012-01-01T23:59:59.000Z

    m 2 /W Thermal resistance of the building envelope, K-m 2 /Wtemperature, envelope, slab and tubing thermal resistance,

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

    E-Print Network [OSTI]

    LBL-31305 Proceedings of ASHRAE-DOE-BTECC Conference on Building Thermal Envelopes Simplified in the envelopes of residential buildings is the primary mechanism to pro- vide ventilation to those buildings and exposure to be made and demonstrates how changes in the envelope or ventilation system would affect it

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

    SciTech Connect (OSTI)

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

    2013-01-23T23:59:59.000Z

    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.

  13. 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)

    2015-01-01T23:59:59.000Z

    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.

  14. System Modeling and Building Energy Simulations of Gas Engine Driven Heat Pump

    SciTech Connect (OSTI)

    Mahderekal, Isaac [Oak Ridge National Laboratory (ORNL); Vineyard, Edward [Oak Ridge National Laboratory (ORNL)

    2013-01-01T23:59:59.000Z

    To improve the system performance of a gas engine driven heat pump (GHP) system, an analytical modeling and experimental study has been made by using desiccant system in cooling operation (particularly in high humidity operations) and suction line waste heat recovery to augment heating capacity and efficiency. The performance of overall GHP system has been simulated with a detailed vapor compression heat pump system design model. The modeling includes: (1) GHP cycle without any performance improvements (suction liquid heat exchange and heat recovery) as a baseline (both in cooling and heating mode), (2) the GHP cycle in cooling mode with desiccant system regenerated by waste heat from engine incorporated, (3) GHP cycle in heating mode with heat recovery (recovered heat from engine). According to the system modeling results, by using the desiccant system the sensible heat ratio (SHR- sensible heat ratio) can be lowered to 40%. The waste heat of the gas engine can boost the space heating efficiency by 25% at rated operating conditions. In addtion,using EnergyPlus, building energy simulations have been conducted to assess annual energy consumptions of GHP in sixteen US cities, and the performances are compared to a baseline unit, which has a electrically-driven air conditioner with the seasonal COP of 4.1 for space cooling and a gas funace with 90% fuel efficiency for space heating.

  15. Automated Continuous Commissioning of Commercial Buildings

    E-Print Network [OSTI]

    Bailey, Trevor

    2013-01-01T23:59:59.000Z

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

  16. An arena for model building in the Cohen-Glashow very special relativity

    SciTech Connect (OSTI)

    Sheikh-Jabbari, M. M., E-mail: jabbari@theory.ipm.ac.i [Institute for Research in Fundamental Sciences, School of Physics (Iran, Islamic Republic of); Tureanu, A., E-mail: anca.tureanu@helsinki.f [University of Helsinki and Helsinki Institute of Physics, Department of Physics (Finland)

    2010-02-15T23:59:59.000Z

    The Cohen-Glashow Very Special Relativity (VSR) algebra is defined as the part of the Lorentz algebra which upon addition of CP or T invariance enhances to the full Lorentz group, plus the space-time translations. We show that noncommutative space-time, in particular noncommutative Moyal plane, with light- like noncommutativity provides a robust mathematical setting for quantum field theories which are VSR invariant and hence set the stage for building VSR invariant particle physics models. In our setting the VSR invariant theories are specified with a single deformation parameter, the noncommutativity scale {Lambda}{sub NC}. Preliminary analysis with the available data leads to {Lambda}{sub NC} {>=} 1-10 TeV.

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

    E-Print Network [OSTI]

    Janvier, Miho; Demoulin, Pascal

    2015-01-01T23:59:59.000Z

    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.

  18. San Francisco Building Code Amendments to the

    E-Print Network [OSTI]

    1 2010 San Francisco Building Code Amendments to the 2010 California Green Building Standards Code not pertain to energy) Operative date: January 1, 2011 #12;139 Chapter 13C GREEN BUILDING REQUIREMENTS shall be known as the California San Francisco Green Building Standards Code and may be cited

  19. San Francisco Building Code Amendments to the

    E-Print Network [OSTI]

    Green Building Standards Code 2010 California Residential Code Operative date: January 1, 2011 #12;2 #121 2010 San Francisco Building Code Amendments to the 2010 California Building Code 2010 California;3 CHAPTER 1 SCOPE AND ADMINISTRATION DIVISION I CALIFORNIA ADMINISTRATION No San Francisco Building Code

  20. 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.

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

    SciTech Connect (OSTI)

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

    2013-09-01T23:59:59.000Z

    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.

  2. 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

    2011-01-01T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-02-12T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Koprinska, Irena

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

  5. Fast and Informative Flow Simulations in a Building by Using Fast Fluid Dynamics Model on Graphics Processing Unit

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    Fast and Informative Flow Simulations in a Building by Using Fast Fluid Dynamics Model on Graphics solve Navier-Stokes equations and other transportation equations for energy and species at a speed of 50 it in parallel on a Graphics Processing Unit (GPU). This study validated the FFD on the GPU by simulating

  6. 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

    2006-01-01T23:59:59.000Z

    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

  7. FEDSOL: economic optimization guide for solar federal buildings projects. Model-simulation

    SciTech Connect (OSTI)

    Powell, J.W.; Rodgers, R.C. Jr.; Barnes, K.A.

    1981-01-01T23:59:59.000Z

    The FEDSOL program determines the economically optimal size of a solar energy system for a user-specified building, location, system type, and set of economic conditions; it conducts numerous breakeven and sensitivity analyses; and it calculates measures of economic performance as required under the Federal Rules. The economic model in the program is linked with the SLR (Solar Load Ratio) design method developed at Los Alamos National Laboratory to predict the performance of active systems. The economics portion of the program can, however, be used apart from the SLR method, with performance data provided by the user. An environmental data file for 243 U.S. cities is included in the program. Highly user oriented, the FEDSOL program is intended as a design and sizing tool for use by architects, engineers, and facilities managers in developing plans for Federal solar energy projects...Software Description: The program is written in the BASIC programming language for implementation on a CYBER 170/720 computer using the NOS Level 531 operating system. 47K bytes of core storage are required to operate the model.

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

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01T23:59:59.000Z

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

  9. 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.

    1985-01-01T23:59:59.000Z

    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.

  10. Stability of Proton and Maximally Symmetric Minimal Unification Model for Basic Forces and Building Blocks of Matter

    E-Print Network [OSTI]

    Yue-Liang Wu

    2007-01-17T23:59:59.000Z

    With the hypothesis that all independent degrees of freedom of basic building blocks should be treated equally on the same footing and correlated by a possible maximal symmetry, we arrive at an 4-dimensional space-time unification model. In this model the basic building blocks are Majorana fermions in the spinor representation of 14-dimensional quantum space-time with a gauge symmetry $G = SO(1,3)\\times SU(32)\\times U(1)_A \\times SU(3)_F$. The model leads to new physics including mirror particles of the standard model. It enables us to issue some fundamental questions that include: why our living space-time is 4-dimensional, why parity is not conserved in our world, how is the stability of proton, what is the origin of CP violation and what can be the dark matter.

  11. 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.

  12. 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.

  13. 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.

  14. To Be Presented at the Advanced Simulation Technology Symposium (ASTC), Washington DC, April 2004. Building Simulation Modeling Environments Using Systems Theory and Software

    E-Print Network [OSTI]

    . Building Simulation Modeling Environments Using Systems Theory and Software Architecture Principles Hessam the relationships between the realm of (i) model building and simulation execution in conjunction with (ii) softwareTo Be Presented at the Advanced Simulation Technology Symposium (ASTC), Washington DC, April 2004

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

    SciTech Connect (OSTI)

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

    2013-10-01T23:59:59.000Z

    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.

  16. Investigation of DC distribution by measuring and modelling power supply devices for buildings with PV

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    control (grid-supplied induction motors and universal motors) stand as exceptions to this rule. However. Introduction Since the last building standards or eco-labels were created, the trend is to reduce building, recent work [3] revealed that using variable speed control on these electromechanical loads (passing

  17. Resolutions of C^n/Z_n Orbifolds, their U(1) Bundles, and Applications to String Model Building

    E-Print Network [OSTI]

    S. Groot Nibbelink; M. Trapletti; M. G. A. Walter

    2007-03-06T23:59:59.000Z

    We describe blowups of C^n/Z_n orbifolds as complex line bundles over CP^{n-1}. We construct some gauge bundles on these resolutions. Apart from the standard embedding, we describe U(1) bundles and an SU(n-1) bundle. Both blowups and their gauge bundles are given explicitly. We investigate ten dimensional SO(32) super Yang-Mills theory coupled to supergravity on these backgrounds. The integrated Bianchi identity implies that there are only a finite number of U(1) bundle models. We describe how the orbifold gauge shift vector can be read off from the gauge background. In this way we can assert that in the blow down limit these models correspond to heterotic C^2/Z_2 and C^3/Z_3 orbifold models. (Only the Z_3 model with unbroken gauge group SO(32) cannot be reconstructed in blowup without torsion.) This is confirmed by computing the charged chiral spectra on the resolutions. The construction of these blowup models implies that the mismatch between type-I and heterotic models on T^6/Z_3 does not signal a complication of S-duality, but rather a problem of type-I model building itself: The standard type-I orbifold model building only allows for a single model on this orbifold, while the blowup models give five different models in blow down.

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    commercial buildings participating in a demand?response (buildings participating in an Automated Demand Response buildings  participating  in  an  event?driven  demand?response  (

  19. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D. [ed.] [Solar Energy Research Inst., Golden, CO (United States)

    1992-10-01T23:59:59.000Z

    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)

  20. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D. (ed.) (Solar Energy Research Inst., Golden, CO (United States))

    1992-01-01T23:59:59.000Z

    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. Building Stones

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

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

  2. 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.

    1998-01-01T23:59:59.000Z

    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...

  3. 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 ...

  4. 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.

    2010-01-01T23:59:59.000Z

    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...

  5. 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.

    2007-01-01T23:59:59.000Z

    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...

  6. 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.

    2006-01-01T23:59:59.000Z

    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...

  7. 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.

    1994-01-01T23:59:59.000Z

    Careful long term decisions in the design and operation of buildings can significantly improve the thermal performance and thus reduce the consumption of energy. The availability and ease of use of today's computers can be a sigruficant benefit...

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

    E-Print Network [OSTI]

    Walker, Christine E. (Christine Elaine)

    2006-01-01T23:59:59.000Z

    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 ...

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

    E-Print Network [OSTI]

    Stadler, Michael

    2012-01-01T23:59:59.000Z

    Zero-Net-Energy Buildings with Demand Response”, 22nd Annualdemand response, distributed generation, online buildingbuilding were not disaggregated to a sufficient detail by endues (e.g. refrigeration), conducting detailed demand response

  10. Building America Expert Meeting Report: Transitioning Traditional...

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

    Conditioning Strategies for Energy Efficient Houses Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Building America Best Practices...

  11. 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...

  12. 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.

    2011-06-22T23:59:59.000Z

    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.

  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.

    2014-01-01T23:59:59.000Z

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

    SciTech Connect (OSTI)

    Hadley, SW

    2004-10-11T23:59:59.000Z

    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.

  15. BUILDING NAME HEYDON-LAURENCE BUILDING

    E-Print Network [OSTI]

    Viglas, Anastasios

    BUILDING NAME HEYDON-LAURENCE BUILDING PHARMACY AND BANK BUILDING JOHN WOOLEY BUILDING OLD TEARCHER'S BUILDING PHYSICS BUILDING BAXTER'S LODGE INSTITUTE BUILDING CONSERVATION WORKS R.D.WATT BUILDING MACLEAY BUILDING THE QUARANGLE BADHAM BUILDING J.D. STEWART BUILDING BLACKBURN BUILDING MADSEN BUILDING STORE

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

    E-Print Network [OSTI]

    Jones, M.; Ledinger, S.

    2010-01-01T23:59:59.000Z

    curve - Total building demand 00:00 06:00 12:00 18:00 00:000 100 200 300 400 500 600 Electrical power [kW ] Interior Lighting Exterior Lighting Space Heating Space Cooling Pumps Heat Rejection Interior Fans Parking Garage Fans... some of the demand by the concrete core activation network. ESL-IC-10-10-05 Proceedings of the Tenth International Conference for Enhanced Building Operations, Kuwait, October 26-28, 2010 0.4 kg/s 35.3 C 12.4 g/kg 27.8 kW 0.4 kg...

  17. 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

    2014-12-23T23:59:59.000Z

    analyzed both window modeling methods with the International Energy Conservation Code (IECC) 2009 and the IECC 2012 conditions for climate zones in Texas. The results show that there are significant differences in annual building energy end-use, heating...

  18. Natural ventilation - A new method based on the Walton model applied to cross-ventilated buildings having two large external openings

    E-Print Network [OSTI]

    Bastide, Alain; Boyer, Harry

    2012-01-01T23:59:59.000Z

    In order to provide comfort in a low energy consumption building, it is preferable to use natural ventilation rather than HVAC systems. To achieve this, engineers need tools that predict the heat and mass transfers between the building's interior and exterior. This article presents a method implemented in some building software, and the results are compared to CFD. The results show that the knowledge model is not sufficiently well-described to identify all the physical phenomena and the relationships between them. A model is developed which introduces a new building-dependent coefficient allowing the use of Walton's model, as extended by Roldan to large external openings, and which better represents the turbulent phenomena near large external openings. The formulation of the mass flow rates is inversed to identify modeling problems. It appears that the discharge coefficient is not the only or best parameter to obtain an indoor static pressure compatible with CFD results, or to calculate more realistic mass fl...

  19. 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

    2014-12-23T23:59:59.000Z

    analyzed both window modeling methods with the International Energy Conservation Code (IECC) 2009 and the IECC 2012 conditions for climate zones in Texas. The results show that there are significant differences in annual building energy end-use, heating...

  20. AUTOTUNE E+ BUILDING ENERGY MODELS Joshua New, Jibonananda Sanyal, Mahabir Bhandari, and Som Shrestha

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    EnergyPlus (E+) simulations has been made publicly available. Autotune is currently being applied buildings sector. A central challenge in the domain of energy efficiency is being able to realistically of US Primary Energy Consumption (U.S. Dept. of Energy, 2010) and Production (U.S. EIA, 2009). et al

  1. A Process Using Building Information Modelling (BIM) for Improving Self-Help Housing in Texas Colonias

    E-Print Network [OSTI]

    Yenerim, Duygu

    2014-12-08T23:59:59.000Z

    as a result of self-help construction of homes without expert consultation: (1) substandard and unsafe constructions that do not meet building standards, (2) higher than average cost for energy per unit area due to poor housing conditions and poor...

  2. 2008 Residential Building Efficiency Standards 1 Efficiency Ratings and Performance Modeling Inputs

    E-Print Network [OSTI]

    Inputs for the Daiken AC (Americas), Inc. Altherma Air-to-Water Source Heat Pump System The Building-to-Water Source Heat Pump can provide space heating, space cooling and domestic water heating functions Required Compliance Software Inputs-- The Altherma Air-to-Water Source Heat Pump system is an electric heat

  3. INTRODUCTION What is research, but a blind date with knowledge.

    E-Print Network [OSTI]

    Minnesota, University of

    CHAPTER 1 INTRODUCTION What is research, but a blind date with knowledge. -Will Henry The purpose for this thesis. Rationale for Study Through many generations of experimentation and theory-building, physics has

  4. Around Buildings

    E-Print Network [OSTI]

    Treib, Marc

    1987-01-01T23:59:59.000Z

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

  5. Building Algorithm-Based Energy Efficient High Performance Computing...

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

    Building Algorithm-Based Energy Efficient High Performance Computing Systems with Resilience Event Sponsor: Mathematics and Computing Science Seminar Start Date: May 12 2015 -...

  6. BUILDING INSPECTION Building, Infrastructure, Transportation

    E-Print Network [OSTI]

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

  7. 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.

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    as well as the eventual deconstruction of buildings and civil infrastructures, environmental consciousness and performances are definitely essential. Progresses have been made to advance environmental-friendly design and construction. For example... Index (SSI) SSIi (i=1~30) )( ASSIi i )(BSSI Construction Process and Structure (CPS) CPSi (i=1~19) )( ACPSi i )(BCPS Cost Effectiveness Index (CEI) CEIi (i=1) )( ACEIi i )(BCEI However, the recommended method of Asian IB Index...

  10. 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.

  11. Co-simulation of innovative integrated HVAC systems in buildings

    E-Print Network [OSTI]

    Trcka, Marija

    2010-01-01T23:59:59.000Z

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

  12. 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

    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

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

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01T23:59:59.000Z

    of the room heat transfer model in the free open-sourcea layer-by-layer heat transfer model that computes infrared

  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

    2012-01-01T23:59:59.000Z

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

  16. Integrated Modeling of Building Energy Requirements IncorporatingSolar Assisted Cooling

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris; Wang, Juan

    2005-08-10T23:59:59.000Z

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

  17. Building 9731 tour was a huge hit

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

    of Y-12 That record was set on September 3, 1967. On that date, 4,357 people visited Building 9737 for Y-12's very first "Open House." On Saturday, September 2, 1967, they had...

  18. LAB #6 The Swaying Building

    E-Print Network [OSTI]

    2007-02-21T23:59:59.000Z

    differential equations that model the swaying of a building. Let y(t) be a measure of how far the building is bent- the displacement (in meters) of the top of the ...

  19. 300 Area Building Retention Evaluation Mitigation Plan

    SciTech Connect (OSTI)

    D. J. McBride

    2007-07-03T23:59:59.000Z

    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.

  20. Insights from Building a Prototype for Model-based On-board Diagnosis of Automotive Systems

    E-Print Network [OSTI]

    Cengarle, María Victoria

    a rigorous mathematical model (such as the combustion engine), and to try to provide the response times

  1. 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.rouchier@univmed.fr Kyoto, 2005 - 10 - 13 Modelling and the search for realism Social simulation using multi-agent paradigm (sometimes called "agent-based simulation" or "simulation with agents") has developed quickly in the last

  2. Global green building Presenter: Jane Henley

    E-Print Network [OSTI]

    Global green building Presenter: Jane Henley Chief Executive Officer World Green Building Council worldwide ·10% plus of global gross domestic product #12;World Green Building Council Growth #12;World Green Building Council #12;World Green Building Council Regional networks #12;· Champions the GBC model

  3. Building America

    SciTech Connect (OSTI)

    Brad Oberg

    2010-12-31T23:59:59.000Z

    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.

  4. 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."

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

    E-Print Network [OSTI]

    Tuna, Zeynep

    2012-01-01T23:59:59.000Z

    J.W. , (2009). Testing and Reinforced Concrete Coupling2010). "Testing and Modeling of Reinforced Concrete Couplingscale testing of four-story reinforced concrete and post-

  6. Total and Peak Energy Consumption Minimization of Building HVAC Systems Using Model Predictive Control

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

    optimal control design for HVAC systems,’’ in Proc. Dynamicelectricity consumption in hvac using learning- based model-algorithm design for hvac systems in energy efficient

  7. N = 4 supersymmetric mechanics: Harmonic superspace as a universal tool of model-building

    SciTech Connect (OSTI)

    Ivanov, E. A., E-mail: eivanov@theor.jinr.ru [Joint Institute for Nuclear Research, Bogoliubov Laboratory of Theoretical Physics (Russian Federation)

    2013-08-15T23:59:59.000Z

    We overview applications of the harmonic superspace approach in models of N = 4supersymmetric mechanics, with emphasis on some recent results.

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

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01T23:59:59.000Z

    of discomfort. Full- factorial design, defined later in thedesign model. Full-factorial design The design scenariosformulated into a full factorial design. In statistics, a

  9. Building technologies

    SciTech Connect (OSTI)

    Jackson, Roderick

    2014-07-14T23:59:59.000Z

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

  10. Building technologies

    ScienceCinema (OSTI)

    Jackson, Roderick

    2014-07-15T23:59:59.000Z

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

  11. 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

  12. Exploration and Model Building in Mobile Robot Domains Sebastian B. Thrun 1;2

    E-Print Network [OSTI]

    Clausen, Michael

    ­time. COLUMBUS employs a local, instance­based learning technique to model its environment. Rather than fitting a global monolithic model, experiences are remembered explicitly, and functions are approximated locally with the help of artificial neural networks. Many global approaches to function fitting (e.g., with a single

  13. 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.

    2010-01-01T23:59:59.000Z

    controlled internal environments. In this research a CFD model of the internal environment of an office space will be developed. The CFD model will then be calibrated using real data taken from a well-positioned wireless sensor network and weather station...

  14. 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.

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

    Energy Savers [EERE]

    Building America Residential Buildings Energy Efficiency Meeting: July 2010 Building America Residential Buildings Energy Efficiency Meeting: July 2010 On this page, you may link...

  16. 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

  17. Links between occupant complaint handling and building performance

    E-Print Network [OSTI]

    Goins, John; Moezzi, Mithra

    2012-01-01T23:59:59.000Z

    a regional model for green building practice. In many ways,I'm very proud to work in a green building. The building'sdue to this being a "green" building. I have had this issue

  18. 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.

    1985-03-01T23:59:59.000Z

    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.

  19. 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

    2014-12-06T23:59:59.000Z

    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.

  20. 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.

    2010-01-01T23:59:59.000Z

    Computational Fluid Dynamics (CFD) is a robust tool for modeling interactions within and between fluids and solids. CFD can help understand and predict phenomena that are difficult to test experimentally leading to cleaner, ...

  1. 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.

    2012-03-19T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Kelly, Scott

    2013-04-16T23:59:59.000Z

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

  3. 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

    2010-01-01T23:59:59.000Z

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

  4. 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

    2012-01-01T23:59:59.000Z

    Energy Use – Model Description and Validation Neda Yaghoobian   Mechanical and Aerospace Engineering 

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

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    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...

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

    Reports and Publications (EIA)

    2003-01-01T23:59:59.000Z

    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.

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

    E-Print Network [OSTI]

    Eran Palti

    2009-02-20T23:59:59.000Z

    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.

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

    SciTech Connect (OSTI)

    Not Available

    2014-12-01T23:59:59.000Z

    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.

  9. Modeling of a digital tool to design sustainable buildings Vida Gholipour1, 2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    -Model or "EM". Subsequently, the study presents the first contour of software based on an EM approach. Thus to reduce the risk of disregarding possible environmental impacts. The design team has to cope with problems be water conserving, non-toxic, and energy efficient, with high-quality spaces and recycled materials

  10. 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)

    2008-01-01T23:59:59.000Z

    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 ...

  11. Model Predictive Control Approach to Online Computation of Demand-Side Flexibility of Commercial Buildings HVAC Systems for Supply Following

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01T23:59:59.000Z

    of commercial building HVAC fan as ancillary service foralgorithm design for hvac systems in energy efficientoptimal control design for HVAC systems,” in Dynamic System

  12. Building Stones

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    was no good source of local building stone, rock was usuallyrock-cut shrines and especially tombs, and these are the sources

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

    E-Print Network [OSTI]

    Gubbala, Nagalakshmi V.

    1994-01-01T23:59:59.000Z

    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...

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

    E-Print Network [OSTI]

    Gubbala, Nagalakshmi V.

    1994-01-01T23:59:59.000Z

    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...

  15. 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.

    2013-09-01T23:59:59.000Z

    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.

  16. Dating the Vinland Map

    ScienceCinema (OSTI)

    None

    2013-07-17T23:59:59.000Z

    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.

  17. Passive solar buildings research

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1992-12-31T23:59:59.000Z

    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.

  18. Options for Orbifold-GUT Model Building from Five-Dimensional Supergravity

    E-Print Network [OSTI]

    McReynolds, S

    2005-01-01T23:59:59.000Z

    We examine the options for embedding supersymmetric orbifold-GUTs into five-dimensional N=2 supergravity. In particular, we focus on the allowed couplings of charged hypermultiplets for the gauge groups SU(5), SO(10) and E{6}, and compare the results with some of the models in the literature. However, we also discuss the alternative way to obtain scalars in non-trivial representations of the gauge group: coupling of tensor multiplets that are charged under the gauge group. Finally, some comments are made regarding non-compact gaugings. The main points are summarized in tables and the conclusion. Although the discussion is in the spirit of a "bottom-up" approach, in that string theory isn't a direct concern, strongly coupled string theory (and M-theory more generally) is taken as a motivating background.

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

    E-Print Network [OSTI]

    Riblett, Carl Olin

    1993-01-01T23:59:59.000Z

    . To verify the system's accuracy, ten percent (10%) of the buildings were re-inspected by the developers of the system (quality control) . The analysis of the system included a random sample of 20 buildings from the data collected. The data were analyzed...

  20. Better Buildings

    E-Print Network [OSTI]

    Neukomm, M.

    2012-01-01T23:59:59.000Z

    efficiency as top priority energy resource Revolutionary change in market Robust energy efficiency industry Prime the market for new technology Better Buildings Challenge Goals Make commercial & industrial buildings 20% more efficient by 2020... opportunities for energy efficiency 2 Great opportunities in the residential, commercial and industrial sectors 20% + savings is average Other benefits: Jobs, Environment, Competitiveness But persistent barriers exist?? ?Energy efficiency...

  1. 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.

  2. 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.

  3. Archived Reference Building Type: Strip mall

    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.

  4. 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.

  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. Building America Webinar: Ventilation in Multifamily Buildings...

    Energy Savers [EERE]

    Ventilation in Multifamily Buildings Building America Webinar: Ventilation in Multifamily Buildings This webinar was presented by research team Consortium for Advanced Residential...

  7. 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...

  8. Sensitivity of Building Energy Simulation with Building Occupancy for a University Building 

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01T23:59:59.000Z

    of Texas A&M University. The energy model for the building was created using the DOE-2 engine and validated with actual energy consumption data. As constructed building characteristics and occupancy loading data were used in the DOE-2 model. Parametric runs...

  9. Sensitivity of Building Energy Simulation with Building Occupancy for a University Building

    E-Print Network [OSTI]

    Chhajed, Shreyans

    2014-08-01T23:59:59.000Z

    of Texas A&M University. The energy model for the building was created using the DOE-2 engine and validated with actual energy consumption data. As constructed building characteristics and occupancy loading data were used in the DOE-2 model. Parametric runs...

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

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2013-01-01T23:59:59.000Z

    ON BUILDING ENERGY USE, HVAC SIZING AND THERMAL COMFORT aThe results showed that when the HVAC is controlled based onequipment sizing. When the HVAC is controlled based on the

  11. DATE: | Department of Energy

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: MaySUBJECT: 1DATE:

  12. INDOOR AIR QUALITY IN ENERGY-EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Hollowell, Craig D.

    2011-01-01T23:59:59.000Z

    new buildings incorporating energy- efficient designs, Theenergy-efficient residential, studied as possible models design.

  13. Building Science

    Broader source: Energy.gov [DOE]

    This presentation was given at the Summer 2012 DOE Building America meeting on July 25, 2012, and addressed the question ŤHow do we first do no harm with high-r enclosures??

  14. Building debris

    E-Print Network [OSTI]

    Dahmen, Joseph (Joseph F. D.)

    2006-01-01T23:59:59.000Z

    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 ...

  15. Building Stones

    E-Print Network [OSTI]

    2012-01-01T23:59:59.000Z

    1992 Are the pyramids of Egypt built of poured concreteel-Anba’ut, Red Sea coast, Egypt. Marmora 6, pp. 45 - 56.building stones of ancient Egypt are those relatively soft,

  16. Healthy buildings

    SciTech Connect (OSTI)

    Not Available

    1991-01-01T23:59:59.000Z

    This book is covered under the following headings: Healthy building strategies/productivity, Energy and design issues, Ventilation, Contaminants, Thermal, airflow, and humidity issues, School-related issues, Sources and sinks, Filtering, Operation and maintenance.

  17. Intelligent Building Energy Information and Control Systems for Low-Energy Operations and Optimal Demand Response

    E-Print Network [OSTI]

    Piette, Mary Ann

    2014-01-01T23:59:59.000Z

    As  we  develop low?energy buildings, the need for models Building Energy Information and Control Systems for Low-Building  Energy  Information  and  Control  Systems  for  Low­

  18. Healthy buildings

    SciTech Connect (OSTI)

    Geshwiler, M.; Montgomery, L.; Moran, M. (eds.)

    1991-01-01T23:59:59.000Z

    This proceedings is of the Indoor Air Quality (IAQ) Conference held September 4--8, 1991 in Washington, D.C. Entitled the IAQ 91, Healthy Buildings,'' the major topics of discussion included: healthy building strategies/productivity; energy and design issues; ventilation; contaminants; thermal, airflow, and humidity issues; school-related issues; sources and sinks; filtering; and operation and maintenance. For these conference proceedings, individual papers are processed separately for input into the Energy Data Base. (BN)

  19. 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...

  20. 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...

  1. Procedure No: Approval Date

    E-Print Network [OSTI]

    : Redding City Council Resolution: 10/15/2013 Date: 10/15/2013 #12;RPS-001 RPS ENFORCEMENT PROGRAM 1 2 TABLE: ................................................................ 5 D. Portfolio Balance Requirement Reduction: ................................................. 6 3 in California to acquire 33 percent of their annual unmet energy needs from renewable resources by 2020

  2. Building America Case Study: Community-Scale Energy Modeling (Fact Sheet), Whole-House Solutions for Existing Homes, Energy Efficiency and Renewable Energy Building Technologies Office (EERE)

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future of CSP:Brookhaven TeachingCommunity-Scale Energy Modeling

  3. INCIDENT # CHARGE SECTION OF NYS PENAL LAW DISPOSITION TYPE REPORTED TO PLACE OF OCCURRENCE DATE & TIME OF OCCURRENCE DATE & TIME REPORTED 1304224 None

    E-Print Network [OSTI]

    Johnson Jr.,, Ray

    INCIDENT # CHARGE SECTION OF NYS PENAL LAW DISPOSITION TYPE REPORTED TO PLACE OF OCCURRENCE DATE Public Safety Department Music Building 6442 Kissena Blvd., Flushing, NY 11367 April 29, 2013 2:15PM Building 6660 Kissena Blvd., Flushing, NY 11367 May 1, 2013 12:15PM May 1, 2013 2:50PM 1305279 None Petit

  4. Date: 12/6/2014 Page 1 of 2

    E-Print Network [OSTI]

    Brierley, Andrew

    activities by: 2.1. audit and assessment of buildings within NERC estate in order to provide Display EnergyNERC ISSUE: 6 Date: 12/6/2014 Page 1 of 2 NERC NERC Energy Policy Document Control Sheet Document Title Energy Policy Author(s) J Emmerson/J Eacott Document Status Original /agreed document Document

  5. Penn State Consortium for Building Energy Innovation | Department...

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

    a best practices model for commercial building design, historic adaptive re-use, and energy efficiency innovation through continuous retrofit. The Center for Building Energy...

  6. Co-Simulation of Building Energy and Control Systems with the Building Controls Virtual Test Bed

    E-Print Network [OSTI]

    Wetter, Michael

    2012-01-01T23:59:59.000Z

    and a core zone. The envelope thermal properties meet ASHRAEis the thermal zone and the building envelope model that was

  7. Green Building Performance Evaluation in the United States: Measured Results from LEED- New Construction Buildings

    E-Print Network [OSTI]

    Hewitt, D.; Turner, C.; Frankel, M.

    of energy bills and brief descriptions of actual building use from owners, plus modeled energy usage information from the U.S. Green Buildings Council‘s (USGBC) LEED submittal files. The actual building performance was viewed through several whole-building...

  8. Wave Impact Study on a Residential Building Wave Impact Study on a Residential Building

    E-Print Network [OSTI]

    Cox, Dan

    Wave Impact Study on a Residential Building Paper: Wave Impact Study on a Residential Building John residential light- frame wood buildings and wave and surge loading be- cause often little is left residential structures and wave loading. To do this, one-sixth scale residen- tial building models typical

  9. Building Interoperability

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy FutureDepartment of Energy Building Energy-EfficientBuilding

  10. Building Interoperability

    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 DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy FutureDepartment of Energy Building Energy-EfficientBuilding

  11. Building and Environment 42 (2007) 203217 Model-based analysis and simulation of airflow control systems of

    E-Print Network [OSTI]

    Melnik, Roderick

    2007-01-01T23:59:59.000Z

    , testing, operation, and management of heating, ventilation and air conditioning (HVAC) systems rely systems of ventilation units in building environments Zhuang Wua , Roderick V.N. Melnikb,Ă, Finn Borupc and simulation of the airflow control system of ventilation units is of primary importance for the design

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

    E-Print Network [OSTI]

    Wemhoff, P.

    1990-01-01T23:59:59.000Z

    consumption for air conditioning, as well as a 50 percent increase in peak cooling load and an 80 percent increase in peak heating load. In addition, building air leakage may be expected to be several times greater when duct leakage is present or when avenues...

  13. Home | Better Buildings Workforce

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

    Better Buildings Logo EERE Home | Programs & Offices | Consumer Information Search form Search Search Better Buildings Logo Connect with Us LinkedIn Twitter Better Buildings...

  14. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,0928 -

  15. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,0928 ->

  16. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,0928 ->09-32

  17. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,0928

  18. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,09282 May

  19. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,09282 May0-7,

  20. DATE: TO: FROM:

    Office of Environmental Management (EM)

    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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,Office of Policy, OAPM | Department ofCommunications3 DATE: May 9,09282