Sample records for building energy simulations

  1. 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...

  2. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01T23:59:59.000Z

    generation building energy simulation program. Energy andReal-Time Building Energy Simulation Using EnergyPlus andREAL-TIME BUILDING ENERGY SIMULATION USING ENERGYPLUS AND

  3. Acquisition of building geometry in the simulation of energy performance

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2001-01-01T23:59:59.000Z

    New-Generation Building Energy Simulation Program," Energy &Classes,” Building Energy Simulation User News, Vol.21,Clarke, J.A. 1985. Energy Simulation in Building Design,

  4. 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)

  5. More Issues of Building Energy Simulation 

    E-Print Network [OSTI]

    Kang, Z.; Zhao, J.

    2006-01-01T23:59:59.000Z

    The paper investigates the development of building energy simulation software. It is shown that such applications can be used for energy forecasting, system design and operations, and energy evaluation. Several energy simulation methods are analyzed...

  6. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    E-Print Network [OSTI]

    Pang, Xiufeng

    2013-01-01T23:59:59.000Z

    creating a new-generation building energy simulationprogram. Energy and Buildings, 33: 319-331. Haves, P. ,Liu M. 2001. Use of Whole Building Simulation in On- Line

  7. 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...

  8. Energy Simulation for Buildings: Development and Training

    E-Print Network [OSTI]

    .5: Energy Efficiency April 2013 HAWAI`I NATURAL ENERGY INSTITUTE School of Ocean & Earth Science`i Natural Energy Institute School of Ocean and Earth Science and Technology University of Hawai`i April 2013Energy Simulation for Buildings: Development and Training This report presents an architectural

  9. 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

  10. 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

  11. 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...

  12. Methodology for Validating Building Energy Analysis Simulations

    SciTech Connect (OSTI)

    Judkoff, R.; Wortman, D.; O'Doherty, B.; Burch, J.

    2008-04-01T23:59:59.000Z

    The objective of this report was to develop a validation methodology for building energy analysis simulations, collect high-quality, unambiguous empirical data for validation, and apply the validation methodology to the DOE-2.1, BLAST-2MRT, BLAST-3.0, DEROB-3, DEROB-4, and SUNCAT 2.4 computer programs. This report covers background information, literature survey, validation methodology, comparative studies, analytical verification, empirical validation, comparative evaluation of codes, and conclusions.

  13. Practical Integration Approach and Whole Building Energy Simulation of Three Energy Efficient Building Technologies: Preprint

    SciTech Connect (OSTI)

    Miller, J. P.; Zhivov, A.; Heron, D.; Deru, M.; Benne, K.

    2010-08-01T23:59:59.000Z

    Three technologies that have potential to save energy and improve sustainability of buildings are dedicated outdoor air systems, radiant heating and cooling systems and tighter building envelopes. To investigate the energy savings potential of these three technologies, whole building energy simulations were performed for a barracks facility and an administration facility in 15 U.S. climate zones and 16 international locations.

  14. A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA

    E-Print Network [OSTI]

    Maile, Tobias

    2014-01-01T23:59:59.000Z

    on calibration of building energy simulation programs: Uses,resulting from energy simulations. A detailed analysis ofmore Building Energy Performance Simulation (BEPS) models.

  15. Automated Comparison of Building Energy Simulation Engines (Presentation)

    SciTech Connect (OSTI)

    Polly, B.; Horowitz, S.; Booten, B.; Kruis, N.; Christensen, C.

    2012-08-01T23:59:59.000Z

    This presentation describes the BEopt comparative test suite, which is a tool that facilitates the automated comparison of building energy simulation engines. It also demonstrates how the test suite is improving the accuracy of building energy simulation programs. Building energy simulation programs inform energy efficient design for new homes and energy efficient upgrades for existing homes. Stakeholders rely on accurate predictions from simulation programs. Previous research indicates that software tends to over-predict energy usage for poorly-insulated leaky homes. NREL is identifying, investigating, and resolving software inaccuracy issues. Comparative software testing is one method of many that NREL uses to identify potential software issues.

  16. Developing an integrated building design tool by coupling building energy simulation and computational fluid dynamics programs

    E-Print Network [OSTI]

    Zhai, Zhiqiang, 1971-

    2003-01-01T23:59:59.000Z

    Building energy simulation (ES) and computational fluid dynamics (CFD) can play important roles in building design by providing essential information to help design energy-efficient, thermally comfortable and healthy ...

  17. Real-Time Building Energy Simulation Using EnergyPlus and the Building Controls Test Bed

    SciTech Connect (OSTI)

    Pang, Xiufeng; Bhattachayra, Prajesh; O'Neill, Zheng; Haves, Philip; Wetter, Michael; Bailey, Trevor

    2011-11-01T23:59:59.000Z

    Most commercial buildings do not perform as well in practice as intended by the design and their performances often deteriorate over time. Reasons include faulty construction, malfunctioning equipment, incorrectly configured control systems and inappropriate operating procedures (Haves et al., 2001, Lee et al., 2007). To address this problem, the paper presents a simulation-based whole building performance monitoring tool that allows a comparison of building actual performance and expected performance in real time. The tool continuously acquires relevant building model input variables from existing Energy Management and Control System (EMCS). It then reports expected energy consumption as simulated of EnergyPlus. The Building Control Virtual Test Bed (BCVTB) is used as the software platform to provide data linkage between the EMCS, an EnergyPlus model, and a database. This paper describes the integrated real-time simulation environment. A proof-of-concept demonstration is also presented in the paper.

  18. Advancement of DOE's EnergyPlus Building Energy Simulation Payment

    SciTech Connect (OSTI)

    Lixing Gu; Don Shirey; Richard Raustad; Bereket Nigusse; Chandan Sharma; Linda Lawrie; Rich Strand; Curt Pedersen; Dan Fisher; Edwin Lee; Mike Witte; Jason Glazer; Chip Barnaby

    2011-03-31T23:59:59.000Z

    EnergyPlus{sup TM} is a new generation computer software analysis tool that has been developed, tested, and commercialized to support DOEâ??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. The 5-year project was managed by the National Energy Technology Laboratory and was divided into 5 budget period between 2006 and 2011. During the project period, 11 versions of EnergyPlus were released. This report summarizes work performed by an EnergyPlus development team led by the University of Central Floridaâ??s Florida Solar Energy Center (UCF/FSEC). The team members consist of DHL Consulting, C. O. Pedersen Associates, University of Illinois at Urbana-Champaign, Oklahoma State University, GARD Analytics, Inc., and WrightSoft Corporation. The project tasks involved new feature development, testing and validation, user support and training, and general EnergyPlus support. The team developed 146 new features during the 5-year period to advance the EnergyPlus capabilities. Annual contributions of new features are 7 in budget period 1, 19 in period 2, 36 in period 3, 41 in period 4, and 43 in period 5, respectively. The testing and validation task focused on running test suite and publishing report, developing new IEA test suite cases, testing and validating new source code, addressing change requests, and creating and testing installation package. The user support and training task provided support for users and interface developers, and organized and taught workshops. The general support task involved upgrading StarTeam (team sharing) software and updating existing utility software. The project met the DOE objectives and completed all tasks successfully. Although the EnergyPlus software was enhanced significantly under this project, more enhancements are needed for further improvement to ensure that EnergyPlus is able to simulate the latest technologies and perform desired HAVC system operations for the development of next generation HVAC systems. Additional development will be performed under a new 5-year project managed by the National Renewable Energy Laboratory.

  19. Building Technologies Office: EnergyPlus Energy Simulation Software

    Energy Savers [EERE]

    tools to support whole building energy modeling using EnergyPlus and advanced daylight analysis using Radiance. OpenStudio is an open source project to facilitate community...

  20. 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

  1. 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 

  2. Survey and Analysis of Weather Data for Building Energy Simulations

    SciTech Connect (OSTI)

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

    2012-01-01T23:59:59.000Z

    In recent years, calibrated energy modeling of residential and commercial buildings has gained importance in a retrofit-dominated market. Accurate weather data plays an important role in this calibration process and projected energy savings. It would be ideal to measure weather data at the building location to capture relevant microclimate variation but this is generally considered cost-prohibitive. There are data sources publicly available with high temporal sampling rates but at relatively poor geospatial sampling locations. To overcome this limitation, there are a growing number of service providers that claim to provide real time and historical weather data for 20-35 km2 grid across the globe. Unfortunately, there is limited documentation from 3rd-party sources attesting to the accuracy of this data. This paper compares provided weather characteristics with data collected from a weather station inaccessible to the service providers. Monthly average dry bulb temperature; relative humidity; direct, diffuse and horizontal solar radiation; and wind speed are statistically compared. Moreover, we ascertain the relative contributions of each weather variable and its impact on building loads. Annual simulations are calculated for three different building types, including a closely monitored and automated energy efficient research building. The comparison shows that the difference for an individual variable can be as high as 90%. In addition, annual building energy consumption can vary by 7% while monthly building loads can vary by 40% as a function of the provided location s weather data.

  3. 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.

  4. More Issues of Building Energy Simulation

    E-Print Network [OSTI]

    Kang, Z.; Zhao, J.

    2006-01-01T23:59:59.000Z

    and compared, and the predominance of the Z-transfer function method is indicated on dynamic calculation of energy consumption of heating and air-conditioning systems. The paper discusses the means to deal with several complex problems, such as thermal bridge...

  5. Interoperability of Computer Aided Design and Energy Performance Simulation to Improve Building Energy Efficiency and Performance 

    E-Print Network [OSTI]

    Chaisuparasmikul, P.

    2006-01-01T23:59:59.000Z

    The paper describes very significant novel interoperability and data modeling technology for existing building that maps a building information parametric model with an energy simulation model, establishing a seamless link between Computer Aided...

  6. 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...

  7. 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...

  8. 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

  9. EMPIRICAL VALIDATION OF BUILDING ENERGY SIMULATION SOFTWARE: ENERGYPLUS

    SciTech Connect (OSTI)

    Shrestha, Som S [ORNL] [ORNL; Maxwell, Dr. Gregory [Iowa State University] [Iowa State University

    2011-01-01T23:59:59.000Z

    This paper compares the results from a study conducted at Iowa Energy Center s Energy Resource Station with EnergyPlus simulation results. The building consists of controlled test rooms, dedicated air handling units and air-cooled chillers for the purpose of obtaining quality data suitable for empirical validation studies. Weather data were also collected at the facility and used for the simulation. Empirical validation can be performed on various levels of the program such as zone level, systems level, and plant level. This study is unique in the sense that it integrates the zones, system, and plant into one analysis. For this study, the difference between empirical and EnergyPlus predicted zone cooling loads varied from 1.7% to 10.2%, but the difference for the compressor power was as much as 22.4%. The paper also describes the potential reasons why simulation results might not match field data.

  10. 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...

  11. 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...

  12. Survey and Analysis of Weather Data for Building Energy Simulations Mahabir Bhandari, Som Shrestha, Joshua New

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

    potential energy savings measures in compliance with building code trade-offs and new legislationPage 1 Survey and Analysis of Weather Data for Building Energy Simulations Mahabir Bhandari, Som, climate, building energy simulation, EnergyPlus ABSTRACT In recent years, calibrated energy modeling

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2010-08-22T23:59:59.000Z

    This article describes the implementation of the Building Controls Virtual Test Bed (BCVTB). The BCVTB is a software environment that allows connecting different simulation programs to exchange data during the time integration, and that allows conducting hardware in the loop simulation. The software architecture is a modular design based on Ptolemy II, a software environment for design and analysis of heterogeneous systems. Ptolemy II provides a graphical model building environment, synchronizes the exchanged data and visualizes the system evolution during run-time. The BCVTB provides additions to Ptolemy II that allow the run-time coupling of different simulation programs for data exchange, including EnergyPlus, MATLAB, Simulink and the Modelica modelling and simulation environment Dymola. The additions also allow executing system commands, such as a script that executes a Radiance simulation. In this article, the software architecture is presented and the mathematical model used to implement the co-simulation is discussed. The simulation program interface that the BCVTB provides is explained. The article concludes by presenting applications in which different state of the art simulation programs are linked for run-time data exchange. This link allows the use of the simulation program that is best suited for the particular problem to model building heat transfer, HVAC system dynamics and control algorithms, and to compute a solution to the coupled problem using co-simulation.

  14. EnergyPlus: Energy Simulation Software for Buildings - Energy Innovation

    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 Power AdministrationField8, 2000Consumption SurveyEnergy Storage

  15. Origins of Analysis Methods in Energy Simulation Programs Used for High Performance Commercial Buildings

    E-Print Network [OSTI]

    Oh, Sukjoon

    2013-08-19T23:59:59.000Z

    Current designs of high performance buildings utilize hourly building energy simulations of complex, interacting systems. Such simulations need to quantify the benefits of numerous features including: thermal mass, HVAC systems and, in some cases...

  16. SENSITIVITY ANALYSIS AND APPLICATION GUIDES FOR INTEGRATED BUILDING ENERGY AND CFD SIMULATION

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 SENSITIVITY ANALYSIS AND APPLICATION GUIDES FOR INTEGRATED BUILDING ENERGY AND CFD SIMULATION Engineering Purdue University 585 Purdue Mall, West Lafayette, IN 47907-2088, USA Abstract Building energy suggestions on appropriate usage of the coupling simulation are provided. 1. Introduction Building energy

  17. COMBINED THERMAL MEASUREMENT AND SIMULATION FOR THE DETAILED ANALYSIS OF FOUR OCCUPIED LOW-ENERGY BUILDINGS

    E-Print Network [OSTI]

    Gieseler, Udo D. J.

    COMBINED THERMAL MEASUREMENT AND SIMULATION FOR THE DETAILED ANALYSIS OF FOUR OCCUPIED LOW-ENERGY BUILDINGS U.D.J. Gieseler, F.D. Heidt1 , W. Bier Division of Building Physics and Solar Energy, University energy and temperature measurements of occupied buildings very well. These buildings repre- sent small

  18. NUMERICAL DETERMINATION AND TREATMENT OF CONVECTIVE HEAT TRANSFER COEFFICIENT IN THE COUPLED BUILDING ENERGY AND CFD SIMULATION

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    BUILDING ENERGY AND CFD SIMULATION Zhiqiang Zhai* Department of Civil, Environmental and Architectural, IN 47907-2088, USA ABSTRACT The integration of building Energy Simulation (ES) and Computational Fluid, Energy Simulation, CFD, Coupling INTRODUCTION A building energy simulation (ES) program predicts building

  19. 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.

  20. Energy Audit and Simulated Conservation Opportunities for a Renovated Mixed-Use Academic Building

    E-Print Network [OSTI]

    Bejrowski, M.; Manteufel, R.; Arnold, N.; Rashed-Ali, H.

    This paper describes an energy audit performed in a 97,760 ft2 (9082 m2) academic building at the University of Texas at San Antonio (UTSA). The paper describes the building survey and a simulation of the building’s energy use using eQUEST software...

  1. Energy Audit and Simulated Conservation Opportunities for a Renovated Mixed-Use Academic Building 

    E-Print Network [OSTI]

    Bejrowski, M.; Manteufel, R.; Arnold, N.; Rashed-Ali, H.

    2008-01-01T23:59:59.000Z

    This paper describes an energy audit performed in a 97,760 ft2 (9082 m2) academic building at the University of Texas at San Antonio (UTSA). The paper describes the building survey and a simulation of the building’s energy use using eQUEST software...

  2. 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...

  3. 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...

  4. A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE

    E-Print Network [OSTI]

    LBNL-6184E A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA of California. #12;A SOFTWARE TOOL TO COMPARE MEASURED AND SIMULATED BUILDING ENERGY PERFORMANCE DATA Tobias and simulated performance data. In context of this method, we developed a software tool that provides graphing

  5. The MIT Design Advisor : simple and rapid energy simulation of early-stage building designs

    E-Print Network [OSTI]

    Urban, Bryan J. (Bryan James)

    2007-01-01T23:59:59.000Z

    Simulation tools, when applied early in the design process, can considerably reduce the energy demand of newly constructed buildings. For a simulation tool to assist with design, it must be easy to use, provide feedback ...

  6. Dynamic Simulation and Analysis of Heating Energy Consumption in a Residential Building 

    E-Print Network [OSTI]

    Liu, J.; Yang, M.; Zhao, X.; Zhu, N.

    2006-01-01T23:59:59.000Z

    In winter, much of the building energy is used for heating in the north region of China. In this study, the heating energy consumption of a residential building in Tianjin during a heating period was simulated by using the EnergyPlus energy...

  7. Dynamic Simulation and Analysis of Heating Energy Consumption in a Residential Building

    E-Print Network [OSTI]

    Liu, J.; Yang, M.; Zhao, X.; Zhu, N.

    2006-01-01T23:59:59.000Z

    In winter, much of the building energy is used for heating in the north region of China. In this study, the heating energy consumption of a residential building in Tianjin during a heating period was simulated by using the EnergyPlus energy...

  8. Test Procedures for Building Energy Simulation Tools | 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 33Frequently AskedEnergyIssuesEnergy Solar Decathlon DOE-HDBK-1046-2008 AugustTermsTest

  9. Building Energy Simulation & Modeling | 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 742Energy China U.S. Department ofJune 2,The BigSiding RetrofitforCamberlyDepartment BEopt

  10. Analyzing Two Federal Building-Integrated Photovoltaic Projects Using ENERGY-10 Simulations: Preprint

    SciTech Connect (OSTI)

    Walker, A.; Balcomb, D.; Weaver, N.; Kiss, G.; Becker-Humphry, M.

    2002-03-01T23:59:59.000Z

    A new version of the ENERGY-10 computer program simulates the performance of photovoltaic systems, in addition to presenting a wide range of opportunities to improve energy efficiency in buildings. This paper describes two test cases in which the beta release of ENERGY-10 version 1.4 was used to evaluate energy efficiency and building-integrated photovoltaics (BIPV) for two Federal building projects: an office and laboratory building at the Smithsonian Astrophysical Laboratory in Hilo, Hawaii, and housing for visiting scientists at the Smithsonian Environmental Research Center in Edgewater, Maryland. The paper describes the capabilities of the software, the method in which ENERGY-10 was used to assist in the design, and the results. ENERGY-10 appears to be an effective tool for evaluating BIPV options early in the building design process. By simulating both the building electrical load and simultaneous PV performance for each hour of the year, the ENERGY-10 program facilitates a highly accurate, integrated analysis.

  11. Performance of Coupled Building Energy and CFD Simulations Zhiqiang (John) Zhai

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    , West Lafayette, IN 47907-2088, USA Abstract The integration of building energy simulation (ES efficiency, and energy consumption. Based on the information, a building designer is able to modify his and accurate convective heat transfers that help ES to calculate more accurately total energy consumption

  12. 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...

  13. Integrating Solar Thermal and Photovoltaic Systems in Whole Building Energy Simulation 

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2010-01-01T23:59:59.000Z

    This paper introduces methodologies on how the renewable energy generated by the solar thermal and solar photovoltaic (PV) systems installed on site can be integrated in the whole building simulation analyses, which then can be available to analyze...

  14. NREL Develops Diagnostic Test Cases to Improve Building Energy Simulation Programs (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2011-12-01T23:59:59.000Z

    This technical highlight describes NREL research to develop a set of diagnostic test cases for building energy simulations in order to achieve more accurate energy use and savings predictions. The National Renewable Energy Laboratory (NREL) Residential and Commercial Buildings research groups developed a set of diagnostic test cases for building energy simulations. Eight test cases were developed to test surface conduction heat transfer algorithms of building envelopes in building energy simulation programs. These algorithms are used to predict energy flow through external opaque surfaces such as walls, ceilings, and floors. The test cases consist of analytical and vetted numerical heat transfer solutions that have been available for decades, which increases confidence in test results. NREL researchers adapted these solutions for comparisons with building energy simulation results. Testing the new cases with EnergyPlus identified issues with the conduction finite difference (CondFD) heat transfer algorithm in versions 5 and 6. NREL researchers resolved these issues for EnergyPlus version 7. The new test cases will help users and developers of EnergyPlus and other building energy tools to identify and fix problems associated with solid conduction heat transfer algorithms of building envelopes and their boundary conditions. In the long term, improvements to software algorithms will result in more accurate energy use and savings predictions. NREL researchers plan to document the set of test cases and make them available for future consideration by validation standards such as ASHRAE Standard 140: Standard Method of Test for the Evaluation of Building Energy Analysis Computer Programs. EnergyPlus users will also have access to the improved CondFD model in version 7 after its next scheduled release.

  15. Practical experience in achieving high levels of accuracy in energy simulations of existing buildings

    SciTech Connect (OSTI)

    Waltz, J.P. [Energy Resource Associates, Livermore, CA (United States)

    1995-12-01T23:59:59.000Z

    The computer simulation of existing buildings presents unique problems and opportunities. A high level of accuracy can only be achieved through optimization of three factors: (1) an intimate understanding of the simulation tool; (2) an intimate understanding of the building to be simulated; (3) careful analysis and critique of output data. Optimization of these factors regularly produces computer simulations within 5% of the measured consumption. Examples of the optimization means are provided in this article. The values of computerized simulation in an energy services (ESCO) contract are also discussed.

  16. EnergyGauge USA: A Residential Building Energy Simulation Design Tool

    E-Print Network [OSTI]

    Fairey, P.; Vieira, R. K.; Parker, D. S.; Hanson, B.; Broman, P. A.; Grant, J. B.; Fuehrlein, B.; Gu, L.

    2002-01-01T23:59:59.000Z

    of EnergyGauge USA with significant impact on measures that effect sensible loads. The development of the new correlations is described in Henderson (1998a) and is based on empirical assessment of current generation heating and cooling equipment... moisture capacitance model for the simulation to damp out unrealistic variations in air enthalpy that were observed with the current model. The model, described in Henderson (1998b) assumes that the building has a moisture capacitance that is twenty...

  17. NREL researchers discover ways to increase accuracy in building energy simulations tools to improve predictions of

    E-Print Network [OSTI]

    the wall cavities were not insulated during construction or where the insulating material has settled properties of building materials, insulation levels, and the temperature dependence of conduction throughNREL researchers discover ways to increase accuracy in building energy simulations tools to improve

  18. Simulation and Analysis of Energy Consumption of Public Building in Chongquig 

    E-Print Network [OSTI]

    Chen, G.; Lu, J.; Chen, J.

    2006-01-01T23:59:59.000Z

    Calculation and analysis of energy consumption must be on the base of simulation of building load. DeST is adopted to calculate dynamic cooling load of the main building in Chongqing city. Then water chilling unit's plant capability is checked...

  19. Simulation and Analysis of Energy Consumption of Public Building in Chongquig

    E-Print Network [OSTI]

    Chen, G.; Lu, J.; Chen, J.

    2006-01-01T23:59:59.000Z

    Calculation and analysis of energy consumption must be on the base of simulation of building load. DeST is adopted to calculate dynamic cooling load of the main building in Chongqing city. Then water chilling unit's plant capability is checked...

  20. NREL Improves Building Energy Simulation Programs Through Diagnostic Testing (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-01-01T23:59:59.000Z

    This technical highlight describes NREL research to develop Building Energy Simulation Test for Existing Homes (BESTEST-EX) to increase the quality and accuracy of energy analysis tools for the building retrofit market. Researchers at the National Renewable Energy Laboratory (NREL) have developed a new test procedure to increase the quality and accuracy of energy analysis tools for the building retrofit market. The Building Energy Simulation Test for Existing Homes (BESTEST-EX) is a test procedure that enables software developers to evaluate the performance of their audit tools in modeling energy use and savings in existing homes when utility bills are available for model calibration. Similar to NREL's previous energy analysis tests, such as HERS BESTEST and other BESTEST suites included in ANSI/ASHRAE Standard 140, BESTEST-EX compares software simulation findings to reference results generated with state-of-the-art simulation tools such as EnergyPlus, SUNREL, and DOE-2.1E. The BESTEST-EX methodology: (1) Tests software predictions of retrofit energy savings in existing homes; (2) Ensures building physics calculations and utility bill calibration procedures perform to a minimum standard; and (3) Quantifies impacts of uncertainties in input audit data and occupant behavior. BESTEST-EX includes building physics and utility bill calibration test cases. The diagram illustrates the utility bill calibration test cases. Participants are given input ranges and synthetic utility bills. Software tools use the utility bills to calibrate key model inputs and predict energy savings for the retrofit cases. Participant energy savings predictions using calibrated models are compared to NREL predictions using state-of-the-art building energy simulation programs.

  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

    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...

  2. Building Performance Simulation

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    a future with  very low energy buildings resulting in very consumption  of  low  energy  buildings,  with  site  EUI design and operation of low energy buildings through better 

  3. 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

  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. Home energy rating system building energy simulation test (HERS BESTEST). Volume 2, Tier 1 and Tier 2 tests reference results

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    1995-11-01T23:59:59.000Z

    The Home Energy Rating System (HERS) Building Energy Simulation Test (BESTEST) is a method for evaluating the credibility of software used by HERS to model energy use in buildings. The method provides the technical foundation for ''certification of the technical accuracy of building energy analysis tools used to determine energy efficiency ratings,'' as called for in the Energy Policy Act of 1992 (Title I, Subtitle A, Section 102, Title II, Part 6, Section 271). Certification is accomplished with a uniform set of test cases that Facilitate the comparison of a software tool with several of the best public-domain, state-of-the-art building energy simulation programs available in the United States. The HERS BESTEST work is divided into two volumes. Volume 1 contains the test case specifications and is a user's manual for anyone wishing to test a computer program. Volume 2 contains the reference results and suggestions for accrediting agencies on how to use and interpret the results.

  6. Experimental and Simulation Study on the Performance of Daylighting in an Industrial Building and its Energy Saving Potential

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    for office buildings, but were limited for industrial buildings, where lighting is a major electricity [2]. For office buildings, artificial lighting consumes about 20-35% of the total building with EnergyPlus simulation program. The electricity saving potential for the On/Off control and the dimming

  7. Behavioral Aspects in Simulating the Future US Building Energy Demand

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01T23:59:59.000Z

    Importance Total off- site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decreaseImportance Total off-site energy demand (2030) 20% decrease

  8. EnergyGauge USA: A Residential Building Energy Simulation Design Tool 

    E-Print Network [OSTI]

    Fairey, P.; Vieira, R. K.; Parker, D. S.; Hanson, B.; Broman, P. A.; Grant, J. B.; Fuehrlein, B.; Gu, L.

    2002-01-01T23:59:59.000Z

    The Florida Solar Energy Center (FSEC) has developed new software (EnergyGauge USA) which allows simple calculation and rating of energy use of residential buildings around the United States. In the past, most residential analysis and rating...

  9. Project REED (Residential Energy Efficiency Design) is a Web-based building performance simulation tool

    E-Print Network [OSTI]

    -based whole building simulation program that displays graphi- cally the gas and electricity cost of building to deliver powerful build- ing performance simulation tools to precisely targeted audiences. Using interface design, the web has the potential to deliver powerful new building performance simulation tools

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

    SciTech Connect (OSTI)

    Hong, T.; Shen, E.

    2009-11-01T23:59:59.000Z

    The purpose of this study is to use existing simulation tools to quantify the energy savings benefits of integrated control in office buildings. An EnergyPlus medium office benchmark simulation model (V1.0_3.0) developed by the Department of Energy (DOE) was used as a baseline model for this study. The baseline model was modified to examine the energy savings benefits of three possible control strategies compared to a benchmark case across 16 DOE climate zones. Two controllable subsystems were examined: (1) dimming of electric lighting, and (2) controllable window transmission. Simulation cases were run in EnergyPlus V3.0.0 for building window-to-wall ratios (WWR) of 33percent and 66percent. All three strategies employed electric lighting dimming resulting in lighting energy savings in building perimeter zones ranging from 64percent to 84percent. Integrated control of electric lighting and window transmission resulted in heating, ventilation, and air conditioning (HVAC) energy savings ranging from ?1percent to 40percent. Control of electric lighting and window transmission with HVAC integration (seasonal schedule of window transmission control) resulted in HVAC energy savings ranging from 3percent to 43percent. HVAC energy savings decreased moving from warm climates to cold climates and increased when moving from humid, to dry, to marine climates.

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

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01T23:59:59.000Z

    Control System. Energy and Buildings 33(2001): 477-487.control system. Energy and Buildings Lee ES, Yazdanian M ,Daylight Controls. Energy and Buildings 33(2001): 793-803.

  12. Building America 2014 House Simulation Protocols | 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 742Energy China U.S. Department ofJune 2,The Big Green372 Room 4F-033 E-mailof EnergyThe

  13. Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings

    E-Print Network [OSTI]

    Lian, Y.; Hao, Y.

    2006-01-01T23:59:59.000Z

    Buildings have a close relationship with climate. There are a lot of important factors that influence building energy consumption such as building shape coefficient, insulation work of building envelope, covered area, and the area ratio of window...

  14. Dynamic Simulation and Analysis of Factors Impacting the Energy Consumption of Residential Buildings 

    E-Print Network [OSTI]

    Lian, Y.; Hao, Y.

    2006-01-01T23:59:59.000Z

    Buildings have a close relationship with climate. There are a lot of important factors that influence building energy consumption such as building shape coefficient, insulation work of building envelope, covered area, and the area ratio of window...

  15. 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

  16. 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...

  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. IFC BIM-Based Methodology for Semi-Automated Building Energy Performance Simulation

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01T23:59:59.000Z

    the existence of an “energy simulation” view of IFC, eitherbeen defined in the “energy simulation view” of the IFC datafrom sophisticated energy simulation engines is typically

  19. Use of Computer Simulation to Reduce the Energy Consumption in a Tall Office Building in Dubai-UAE 

    E-Print Network [OSTI]

    Abu-Hijleh, B.; Abu-Dakka, M.

    2010-01-01T23:59:59.000Z

    increasing the cooling load due to its heat dissipation. Proper design for the maximization of natural light helps reduce the use of artificial lights and results in reduction in the buildings energy consumption. Computer simulation of the lighting and energy...

  20. An Exploratory Energy Analysis of Electrochromic Windows in Small and Medium Office Buildings - Simulated Results Using EnergyPlus

    SciTech Connect (OSTI)

    Belzer, David B.

    2010-08-01T23:59:59.000Z

    The Department of Energy’s (DOE) Building Technologies Program (BTP) has had an active research program in supporting the development of electrochromic (EC) windows. Electrochromic glazings used in these windows have the capability of varying the transmittance of light and heat in response to an applied voltage. This dynamic property allows these windows to reduce lighting, cooling, and heating energy in buildings where they are employed. The exploratory analysis described in this report examined three different variants of EC glazings, characterized by the amount of visible light and solar heat gain (as measured by the solar heat gain coefficients [SHGC] in their “clear” or transparent states). For these EC glazings, the dynamic range of the SHGC’s between their “dark” (or tinted) state and the clear state were: (0.22 - 0.70, termed “high” SHGC); (0.16 - 0.39, termed “low” SHGC); and (0.13 - 0.19; termed “very low” SHGC). These glazings are compared to conventional (static) glazing that meets the ASHRAE Standard 90.1-2004 energy standard for five different locations in the U.S. All analysis used the EnergyPlus building energy simulation program for modeling EC windows and alternative control strategies. The simulations were conducted for a small and a medium office building, where engineering specifications were taken from the set of Commercial Building Benchmark building models developed by BTP. On the basis of these simulations, total source-level savings in these buildings were estimated to range between 2 to 7%, depending on the amount of window area and building location.

  1. 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.

  2. Origins of Analysis Methods Used to Design High Performance Commercial Buildings: Part I, Whole-Building Energy Simulation

    E-Print Network [OSTI]

    Oh, S.; Haberl, J.S.

    loads. In this study, EnergyPlus (Crawley et al. 2001), DOE-2.1e (Winkelmann et al. 1993), eQUEST/DOE2.2 (LBNL and JJH 1998), TRACE (Trane 2013), HAP (Carrier 2013), and TRNSYS (Klein 1976) were studied as whole-building analysis simulation programs... 1987; Ouyang and Haghighat 1991; UIUC and LBNL 2012). The original WFs developed in 1967 and 1971, were also called pre-calculated WFs, which were pre-calculated for specific rooms such as light, medium, and heavy-weight constructions to be used...

  3. Building Energy Simulation Test for Existing Homes (BESTEST-EX) Methodology: Preprint

    SciTech Connect (OSTI)

    Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.

    2011-11-01T23:59:59.000Z

    The test suite represents a set of cases applying the new Building Energy Simulation Test for Existing Homes (BESTEST-EX) Methodology developed by NREL. (Judkoff et al. 2010a). The NREL team developed the test cases in consultation with the home retrofit industry (BESTEST-EX Working Group 2009), and adjusted the test specifications in accordance with information supplied by a participant with access to large utility bill datasets (Blasnik 2009).

  4. Co-Simulation of Building Energy and Control Systems with the Building

    E-Print Network [OSTI]

    , Simulink and the Modelica modeling and simulation environment Dy- mola. The additions also allow executing

  5. Software interoperability for energy simulation

    E-Print Network [OSTI]

    Hitchcock, Robert J.

    2002-01-01T23:59:59.000Z

    Tools,” in Building Energy Simulation User News, Vol. 22,Interoperability for Energy Simulation Robert J. Hitchcock,Interoperability for Energy Simulation Robert J. Hitchcock,

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01T23:59:59.000Z

    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?

  7. 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

    Michael Wetter, and Jan Hensen. Comparison of co-simulationTransactions, 104(1), Jan L. M. Hensen. A comparison of

  8. Home energy rating system building energy simulation test (HERS BESTEST): Volume 1, Tier 1 and Tier 2 tests user's manual

    SciTech Connect (OSTI)

    Judkoff, R.; Neymark, J.

    1995-11-01T23:59:59.000Z

    The Home Energy Rating System (HERS) Building Energy Simulation Test (BESTEST) is a method for evaluating the credibility of software used by HERS to model energy use in buildings. The method provides the technical foundation for ''certification of the technical accuracy of building energy analysis tools used to determine energy efficiency ratings,'' as called for in the Energy Policy Act of 1992 (Title I, subtitle A,l Section 102, Title II, Part 6, Section 271). Certification is accomplished with a uniform set of test cases that facilitate the comparison of a software tool with several of the best public-domain, state-of-the-art building energy simulation programs available in the United States. This set of test cases represents the Tier 1 and Tier 2 Tests for Certification of Rating Tools as described in DOE 10 CFR Part 437 and the HERS Council Guidelines for Uniformity (HERS Council). A third Tier of tests not included in this document is also planned.

  9. House Simulation Protocols (Building America Benchmark) - Building...

    Energy Savers [EERE]

    House Simulation Protocols. See an example of this Top Innovation in action. Find more case studies of Building America projects across the country that utilize House Simulation...

  10. Development of a geometric database structure and sketching interface for energy simulation software for buildings

    E-Print Network [OSTI]

    Zareen, Hadiba

    1996-01-01T23:59:59.000Z

    and responsive design solutions. Explicit representation of building design parameters are needed if computers are to be used to aid energy conscious design and evaluation. Energy calculation programs require data relating to building materials, occupancy...

  11. 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...

  12. 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...

  13. 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

    are Synchronous Data Flow (SDF) and Finite State Machines (FSM). We use SDF to control the communication of actors thatto simulation programs. In SDF, each actor is ?red when a ?

  14. 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.

  15. On-Site Generation Simulation with EnergyPlus for Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael; Firestone, Ryan; Curtil, Dimitri; Marnay, Chris

    2006-01-01T23:59:59.000Z

    L ABORATORY On-Site Generation Simulation with EnergyPlusemployer. On-Site Generation Simulation with EnergyPlus forin modeling distributed generation (DG), including DG with

  16. Weather data analysis based on typical weather sequence analysis. Application: energy building simulation

    E-Print Network [OSTI]

    David, Mathieu; Garde, Francois; Boyer, Harry

    2014-01-01T23:59:59.000Z

    In building studies dealing about energy efficiency and comfort, simulation software need relevant weather files with optimal time steps. Few tools generate extreme and mean values of simultaneous hourly data including correlation between the climatic parameters. This paper presents the C++ Runeole software based on typical weather sequences analysis. It runs an analysis process of a stochastic continuous multivariable phenomenon with frequencies properties applied to a climatic database. The database analysis associates basic statistics, PCA (Principal Component Analysis) and automatic classifications. Different ways of applying these methods will be presented. All the results are stored in the Runeole internal database that allows an easy selection of weather sequences. The extreme sequences are used for system and building sizing and the mean sequences are used for the determination of the annual cooling loads as proposed by Audrier-Cros (Audrier-Cros, 1984). This weather analysis was tested with the datab...

  17. 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...

  18. 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...

  19. 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...

  20. Origins of Analysis Methods in Energy Simulation Programs Used for High Performance Commercial Buildings 

    E-Print Network [OSTI]

    Oh, Sukjoon

    2013-08-19T23:59:59.000Z

    , special features such as active and passive solar systems, photovoltaic systems, and lighting and daylighting systems. Unfortunately, many high performance buildings today do not perform the way they were simulated. One potential reason...

  1. 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.

  2. NREL Evaluates the Thermal Performance of Uninsulated Walls to Improve the Accuracy of Building Energy Simulation Tools (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-01-01T23:59:59.000Z

    This technical highlight describes NREL research to develop models of uninsulated wall assemblies that help to improve the accuracy of building energy simulation tools when modeling potential energy savings in older homes. Researchers at the National Renewable Energy Laboratory (NREL) have developed models for evaluating the thermal performance of walls in existing homes that will improve the accuracy of building energy simulation tools when predicting potential energy savings of existing homes. Uninsulated walls are typical in older homes where the wall cavities were not insulated during construction or where the insulating material has settled. Accurate calculation of heat transfer through building enclosures will help determine the benefit of energy efficiency upgrades in order to reduce energy consumption in older American homes. NREL performed detailed computational fluid dynamics (CFD) analysis to quantify the energy loss/gain through the walls and to visualize different airflow regimes within the uninsulated cavities. The effects of ambient outdoor temperature, radiative properties of building materials, and insulation level were investigated. The study showed that multi-dimensional airflows occur in walls with uninsulated cavities and that the thermal resistance is a function of the outdoor temperature - an effect not accounted for in existing building energy simulation tools. The study quantified the difference between CFD prediction and the approach currently used in building energy simulation tools over a wide range of conditions. For example, researchers found that CFD predicted lower heating loads and slightly higher cooling loads. Implementation of CFD results into building energy simulation tools such as DOE2 and EnergyPlus will likely reduce the predicted heating load of homes. Researchers also determined that a small air gap in a partially insulated cavity can lead to a significant reduction in thermal resistance. For instance, a 4-in. tall air gap (Figure 1a) led to a 15% reduction in resistance. Similarly, a 2-ft tall air gap (Figure 1c) led to 54% reduction in thermal resistance. NREL researchers plan to extend this study to include additional wall configurations, and also to evaluate the performance of attic spaces with different insulation levels. NREL's objective is to address each potential issue that leads to inaccuracies in building energy simulation tools to improve the predictions.

  3. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report presents a unified method of hourly simulation of a building and analysis of performance data. The method is called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense, hence, the name PSTAR. PSTAR allows extraction of building characteristics from short-term tests on a small number of data channels. These can be used for long-term performance prediction (''ratings''), diagnostics, and control of heating, ventilating, and air conditioning systems (HVAC), comparison of design versus actual performance, etc. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI.

  4. 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.

  5. Simulation-assisted evaluation of potential energy savings: Application to an administrative building in France

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    The case study presented here falls within a project of feasibility studies to improve the energy efficiency, the carbon footprint and the environmental impacts of several administrative buildings in France. The first part of the paper briefly...

  6. Validation Methodology to Allow Simulated Peak Reduction and Energy Performance Analysis of Residential Building Envelope with Phase Change Materials: Preprint

    SciTech Connect (OSTI)

    Tabares-Velasco, P. C.; Christensen, C.; Bianchi, M.

    2012-08-01T23:59:59.000Z

    Phase change materials (PCM) represent a potential technology to reduce peak loads and HVAC energy consumption in residential buildings. This paper summarizes NREL efforts to obtain accurate energy simulations when PCMs are modeled in residential buildings: the overall methodology to verify and validate Conduction Finite Difference (CondFD) and PCM algorithms in EnergyPlus is presented in this study. It also shows preliminary results of three residential building enclosure technologies containing PCM: PCM-enhanced insulation, PCM impregnated drywall and thin PCM layers. The results are compared based on predicted peak reduction and energy savings using two algorithms in EnergyPlus: the PCM and Conduction Finite Difference (CondFD) algorithms.

  7. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    United States and China, Energy and Buildings, 2013. Underin Singapore. Energy and Buildings, 37, 167-174. Eom, J. ,building operations. Energy and Buildings, 33, 783–791.

  8. A technical framework to describe occupant behavior for building energy simulations

    SciTech Connect (OSTI)

    Turner , William; Hong , Tianzhen

    2013-12-20T23:59:59.000Z

    Green buildings that fail to meet expected design performance criteria indicate that technology alone does not guarantee high performance. Human influences are quite often simplified and ignored in the design, construction, and operation of buildings. Energy-conscious human behavior has been demonstrated to be a significant positive factor for improving the indoor environment while reducing the energy use of buildings. In our study we developed a new technical framework to describe energy-related human behavior in buildings. The energy-related behavior includes accounting for individuals and groups of occupants and their interactions with building energy services systems, appliances and facilities. The technical framework consists of four key components: i. the drivers behind energy-related occupant behavior, which are biological, societal, environmental, physical, and economical in nature ii. the needs of the occupants are based on satisfying criteria that are either physical (e.g. thermal, visual and acoustic comfort) or non-physical (e.g. entertainment, privacy, and social reward) iii. the actions that building occupants perform when their needs are not fulfilled iv. the systems with which an occupant can interact to satisfy their needs The technical framework aims to provide a standardized description of a complete set of human energy-related behaviors in the form of an XML schema. For each type of behavior (e.g., occupants opening/closing windows, switching on/off lights etc.) we identify a set of common behaviors based on a literature review, survey data, and our own field study and analysis. Stochastic models are adopted or developed for each type of behavior to enable the evaluation of the impact of human behavior on energy use in buildings, during either the design or operation phase. We will also demonstrate the use of the technical framework in assessing the impact of occupancy behavior on energy saving technologies. The technical framework presented is part of our human behavior research, a 5-year program under the U.S. - China Clean Energy Research Center for Building Energy Efficiency.

  9. On the Use of Integrated Daylighting and Energy Simulations to Drive the Design of a Large Net-Zero Energy Office Building: Preprint

    SciTech Connect (OSTI)

    Guglielmetti, R.; Pless, S.; Torcellini, P.

    2010-08-01T23:59:59.000Z

    This paper illustrates the challenges of integrating rigorous daylight and electric lighting simulation data with whole-building energy models, and defends the need for such integration to achieve aggressive energy savings. Through a case study example, we examine the ways daylighting -- and daylighting simulation -- drove the design of a large net-zero energy project. We give a detailed review of the daylighting and electric lighting design process for the National Renewable Energy Laboratory's Research Support Facility (RSF), a 220,000 ft2 net-zero energy project the author worked on as a daylighting consultant. A review of the issues involved in simulating and validating the daylighting performance of the RSF will be detailed, including daylighting simulation, electric lighting control response, and integration of Radiance simulation data into the building energy model. Daylighting was a key strategy in reaching the contractual energy use goals for the RSF project; the building's program, layout, orientation and interior/furniture design were all influenced by the daylighting design, and simulation was critical in ensuring these many design components worked together in an integrated fashion, and would perform as required to meet a very aggressive energy performance goal, as expressed in a target energy use intensity.

  10. 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...

  11. 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...

  12. Building Energy Code

    Broader source: Energy.gov [DOE]

    Note: 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...

  13. Building Energy Code

    Broader source: Energy.gov [DOE]

    ''Note: 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...

  14. Comparison of Two Statistical Approaches to Detect Abnormal Building Energy Consumption with Simulation Test

    E-Print Network [OSTI]

    Lin, G.; Claridge, D.

    2012-01-01T23:59:59.000Z

    ?or? Emea?Esim Eller?Building ? HVAC?system:?DDVAV ? Baseline?period:?March?August,1997 Simulation?Data?Sets 8 0...?ID Eller 1 Outside?airflow?ratio??increase?of??3.1% 2 Outside?airflow?ratio??decrease?of??3.1% 3 Cold?deck?leaving?temperature??increase?of?4?F 4 Cold?deck?leaving?temperature??decrease?of?4.5?F 5 Hot?deck?leaving?temperature??increase?of?10?F 6 Hot...

  15. Simulation-assisted evaluation of potential energy savings: Application to an administrative building in France 

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    CONSUMPTION 17 MWh kWh/m? Total per year 3172 166 25 Oct 2012 RETROFIT OPTIONS SIMULATION (1) ? Implementation of energy efficient schedule, fresh air rate and new setpoint for air handling units and fan coils into the BMS: ? New indoor setpoint (occ... that only 28% of the annual energy consumption comes from the working period. These observations lead to various energy savings scenarios. Table 3: 2009 Electricty consumption period disaggregation according to SIMAUDIT model % MWh Primary Energy [MWh...

  16. Building Galaxies with Simulations

    E-Print Network [OSTI]

    Romeel Davé; Kristian Finlator; Lars Hernquist; Neal Katz; Dušan Kereš; Casey Papovich; David H. Weinberg

    2005-10-20T23:59:59.000Z

    We present an overview of some of the issues surrounding current models of galaxy formation, highlighting recent insights obtained from cosmological hydrodynamic simulations. Detailed examination of gas accretion processes show a hot mode of gas cooling from near the halo's virial temperature, and a previously underappreciated cold mode where gas flows in along filaments on dynamical timescales, emitting its energy in line radiation. Cold mode dominates in systems with halo masses slightly smaller than the Milky Way and below, and hence dominates the global accretion during the heydey of galaxy formation. This rapid accretion path enables prompt assembly of massive galaxies in the early universe, and results in $z\\sim 4$ galaxy properties in broad agreement with observations, with the most massive galaxies being the most rapid star formers. Massive galaxies today are forming stars at a much reduced rate, a trend called downsizing. The trend of downsizing is naturally reproduced in simulations, owing to a transition from cold mode accretion in the early growth phase to slower hot mode accretion once their halos grow large. However, massive galaxies at the present epoch are still observed to have considerably redder colors than simulations suggest, suggesting that star formation is not sufficiently truncated in models by the transition to hot mode, and that another process not included in current simulations is required to suppress star formation.

  17. 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.

  18. Overview of validation procedures for building energy-analysis simulation codes. [SUNCAT 2. 4, DEROB 4, DOE 2. 1, BLAST

    SciTech Connect (OSTI)

    Wortman, D.; O'Doherty, B.; Judkoff, R.

    1981-03-01T23:59:59.000Z

    SERI is developing a procedure for the validation of Building Energy Analysis Simulation Codes (BEAS). These codes are being used increasingly in the building design process, both directly and as the basis for simplified design tools and guidelines. The importance of the validity of the BEAS in predicting building energy performance is obvious when one considers the money and energy which could be wasted by energy-inefficient designs. However, to date, little or no systematic effort has been made to ensure the validity of the various BEAS. The validation work at SERI consists of three distinct parts: Comparative Study, Analytical Verification, and Empirical Validation. The procedures have been developed for the first two parts, and these procedures have been implemented on a sampling of the major BEAS. Results from this work have shown major problems in two of the BEAS tested. Furthermore, when one building design was run on several of the BEAS, there were large differences in the predicted annual heating loads. The empirical validation procedure will be developed when high quality empirical data become available.

  19. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Wall, L.W.

    2009-01-01T23:59:59.000Z

    I Figure 21. Sample building energy use label expressed inanalyses of actual buildings energy consumption data confirm1983. PROGRESS IN ENERGY EFFICIENT BUILDINGS Leonard W. Wall

  20. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    Center for Building Energy Efficiency, and the China Center on Building Energy Efficiency (CERC-BEE) November,1)  CERC  Building  Energy  Efficiency  (CERC?BEE) 

  1. Southeast Energy Efficiency Alliance's Building Energy Codes...

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

    Southeast Energy Efficiency Alliance's Building Energy Codes Project Southeast Energy Efficiency Alliance's Building Energy Codes Project Building Codes Project for the 2013...

  2. Building Energy Simulation Test for Existing Homes (BESTEST-EX): Instructions for Implementing the Test Procedure, Calibration Test Reference Results, and Example Acceptance-Range Criteria

    SciTech Connect (OSTI)

    Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.; Kennedy, M.

    2011-08-01T23:59:59.000Z

    This publication summarizes building energy simulation test for existing homes (BESTEST-EX): instructions for implementing the test procedure, calibration tests reference results, and example acceptance-range criteria.

  3. Building America House Simulation Protocols (Revised)

    SciTech Connect (OSTI)

    Hendron, R.; Engebrecht, C.

    2010-10-01T23:59:59.000Z

    The House Simulation Protocol document was developed to track and manage progress toward Building America's multi-year, average whole-building energy reduction research goals for new construction and existing homes, using a consistent analytical reference point. This report summarizes the guidelines for developing and reporting these analytical results in a consistent and meaningful manner for all home energy uses using standard operating conditions.

  4. Integrating Solar Thermal and Photovoltaic Systems in Whole Building Energy Simulation

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    to achieve further energy consumption reductions. To accomplish this, the F- Chart program was used for the solar thermal system analysis and the PV F-Chart program for the solar photovoltaic (PV) system analysis. Authors show how DOE-2.1e simulation... Time series plots of space heating and service hot water loads from SYSTEMS and PLANT simulation runs Due to the fact that the solar thermal systems analysis program, F-Chart, takes into account the system efficiencies in its loads calculation...

  5. Uncertainties in Energy Consumption Introduced by Building Operations and

    E-Print Network [OSTI]

    Uncertainties in Energy Consumption Introduced by Building Operations and Weather for a Medium between predicted and actual building energy consumption can be attributed to uncertainties introduced in energy consumption due to actual weather and building operational practices, using a simulation

  6. Social Game for Building Energy Efficiency: Utility Learning, Simulation, and Analysis

    E-Print Network [OSTI]

    Konstantakopoulos, Ioannis C; Ratliff, Lillian J; Jin, Ming; Sastry, S. Shankar; Spanos, Costas J

    2014-01-01T23:59:59.000Z

    Efficiency: Utility Learning, Simulation, and Analysisthe utility learning problem as well as simulation of the

  7. Building Performance Simulation

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    of lifestyle on the energy demand of a single family house.behavior on residential energy demand for space heating.behavior on residential energy demand found that consumer

  8. Building Energy Efficient Schools

    E-Print Network [OSTI]

    McClure, J. D.; Estes, J. M.

    1985-01-01T23:59:59.000Z

    Many new school buildings consume only half the energy required by similar efficient structures designed without energy performance as a design criterion. These are comfortable and efficient while construction costs remain about the same as those...

  9. Guam- Building Energy Code

    Broader source: Energy.gov [DOE]

    NOTE: In September 2012, The Guam Building Code Council adopted the draft [http://www.guamenergy.com/outreach-education/guam-tropical-energy-code/ Guam Tropical Energy Code]. It must be adopted by...

  10. Building Performance Simulation

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    Chiller efficiency  Boiler efficiency  Daylighting control the chiller or boiler efficiency inputs to the EnergyPlus both chiller COP and  boiler efficiency are assumed to be 

  11. Building Energy Simulation Test for Existing Homes (BESTEST-EX); Phase 1 Test Procedure: Building Thermal Fabric Cases

    SciTech Connect (OSTI)

    Judkoff, R.; Polly, B.; Bianchi, M.; Neymark, J.

    2010-08-01T23:59:59.000Z

    The U.S. Department of Energy tasked NREL to develop a process for testing the reliability of models that predict retrofit energy savings, including their associated calibration methods. DOE asked NREL to conduct the work in phases so that a test procedure would be ready should DOE need it to meet legislative requirements related to residential retrofits in FY 2010. This report documents the initial 'Phase 1' test procedure.

  12. 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

    2002: measurement of energy and demand savings. Atlanta, GAML. Measured and predicted energy demand of a low energy

  13. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Wall, L.W.

    2009-01-01T23:59:59.000Z

    Seven recent energy-efficient U.S. office buildings areSeven recent energy-efficient U.S. office buildings are18, 1983. PROGRESS IN ENERGY EFFICIENT BUILDINGS Leonard W.

  14. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Wall, L.W.

    2009-01-01T23:59:59.000Z

    the case for building energy-efficiency labels. 3.1 Trendsenergy efficiency. Building energy efficiency labels are anThe use of building energy efficiency labels may be the

  15. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    a future with very low energy buildings resulting in very making  for  low  energy  buildings.   This  project  will and operation of low energy buildings.  Several studies, 

  16. Building Energy Standards

    Broader source: Energy.gov [DOE]

    The 2015 Vermont Commercial Building Energy Standards (CBES) took effect on March 1, 2015. The code is based on the 2015 IECC, with amendments to incorporate ASHRAE 90.1-2013. The new guidelines ...

  17. 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

    D. Coakley et al. / Renewable and Sustainable Energy Reviewsmodels. D. Coakley et al. / Renewable and Sustainable EnergyManual D. Coakley et al. / Renewable and Sustainable Energy

  18. Building America Webinar: Saving Energy in Multifamily Buildings...

    Energy Savers [EERE]

    More Documents & Publications Building America Webinar: Retrofit Ventilation Strategies in Multifamily Buildings Webinar Energy Saver Guide Building America...

  19. Buildings Energy Efficiency Policy

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    Efficiency Wind Biomass Natural Gas Combined Cycle Nuclear Coal IGCC Photovoltaics RangeofBuildings Energy Efficiency Policy ­ A Brief History Steven Nadel Executive Director American Council for an Energy- Efficient Economy #12;U.S. Energy Use in Relation to GDP 1970-2008 0.0 50.0 100

  20. > Web Developer Position at the T.C. Chan Center for Building Simulation and Energy > Needed Immediately: Full Time Web Developer.

    E-Print Network [OSTI]

    Plotkin, Joshua B.

    > > Web Developer Position at the T.C. Chan Center for Building Simulation and Energy Studies. > Needed Immediately: Full Time Web Developer. > > * The web developer should have a BA of professional experience developing web based applications is required. Experience with web design is a must

  1. Comparison of Simulation Methods for Evaluating Improved Fenestration Using the DOE-2.1E Building Energy Simulation Program

    E-Print Network [OSTI]

    Mukhopadhyay, J.; Haberl, J. S.

    2006-01-01T23:59:59.000Z

    - performance glazing technology pushed researchers at LBNL to develop new and more sophisticated algorithms for fenestration simulation software (Arasteh et al. 1998). Research by Rubin (1982a, 1982b) and later Arasteh et al. (1989) played a key role... performance of fenestration systems under realistic conditions and compared the results with those obtained from the Lawrence Berkeley National Laboratories (LBNL) simulation models (Klems 1989; Klems et al. 1995). DOE-2.1e gives several options...

  2. 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).

  3. Energy Consumption Analysis and Energy Conservation Evaluation of a Commercial Building in Shanghai 

    E-Print Network [OSTI]

    Chen, C.; Pan, Y.; Huang, Z.; Wu, G.

    2006-01-01T23:59:59.000Z

    The paper presents a model of a commercial building in Shanghai with energy simulation software, and after calibration, the energy consumption of this building is calculated. On the basis of the simulation and calculation, a series of energy saving...

  4. Energy Consumption Analysis and Energy Conservation Evaluation of a Commercial Building in Shanghai

    E-Print Network [OSTI]

    Chen, C.; Pan, Y.; Huang, Z.; Wu, G.

    2006-01-01T23:59:59.000Z

    The paper presents a model of a commercial building in Shanghai with energy simulation software, and after calibration, the energy consumption of this building is calculated. On the basis of the simulation and calculation, a series of energy saving...

  5. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Wall, L.W.

    2009-01-01T23:59:59.000Z

    of actual buildings energy consumption data confirm thedata bases. Actual energy consumption data are necessary toten years. The energy consumption data for new low-energy

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

    E-Print Network [OSTI]

    Hong, T.

    2011-01-01T23:59:59.000Z

    Energy-Savings Potential of Electrochromic Windows in the USPerformance Analysis of Electrochromic Windows in New Yorkthe effects of electrochromic windows and daylighting

  7. Performance comparison of U.K. low-energy cooling systems by energy simulation

    E-Print Network [OSTI]

    Olsen, Erik L. (Erik Lee), 1979-

    2002-01-01T23:59:59.000Z

    Building energy simulation is an important tool for evaluating the energy consumption of a building and can provide guidance in the design of a building and its mechanical systems. EnergyPlus is a new energy simulation ...

  8. 2014 Building America House Simulation Protocols

    SciTech Connect (OSTI)

    Wilson, E.; Engebrecht-Metzger, C.; Horowitz, S.; Hendron, R.

    2014-03-01T23:59:59.000Z

    As BA has grown to include a large and diverse cross-section of the home building and retrofit industries, it has become more important to develop accurate, consistent analysis techniques to measure progress towards the program's goals. The House Simulation Protocol (HSP) document provides guidance to program partners and managers so they can compare energy savings for new construction and retrofit projects. The HSP provides the program with analysis methods that are proven to be effective and reliable in investigating the energy use of advanced energy systems and of entire houses.

  9. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report summarizes a longer report entitled PSTAR - Primary and Secondary Terms Analysis and Renormalization. A Unified Approach to Building Energy Simulations and Short-Term Monitoring. These reports highlight short-term testing for predicting long-term performance of residential buildings. In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense; hence, the name PSTAR. Testing and monitoring the energy performance of buildings has several important applications, among them: extrapolation to long-term performance, refinement of design tools through feedback from comparing design versus actual parameters, building-as-a-calorimeter for heating, ventilating, and air conditioning (HVAC) diagnostics, and predictive load control. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI. 3 figs., 1 tab.

  10. CALIFORNIA ENERGY Large HVAC Building

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION Large HVAC Building Survey Information Database of Buildings over 100 Energy Systems: Productivity and Building Science Program. This program was funded by the California of Portland Energy Conservation, Inc. Project Management: Cathy Higgins, Program Director for New Buildings

  11. Nevada Energy Code for Buildings

    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...

  12. Role of Computer Simulation in Designing an Energy Efficient Building: Preprint

    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:Energy: Grid Integration Redefining What's PossibleRadiation Protection TechnicalResonantNovember 15 toAdvancesRockSodium Natrolite |Role of

  13. BESTEST: Test Procedures ÂŤBuilding Energy SimulationÂŽ Tools

    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 Automationj. IndirectDepartmentBENEFIT: A

  14. 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.

  15. 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.

  16. Reducing Energy Demand in Buildings Through State Energy Codes...

    Energy Savers [EERE]

    Reducing Energy Demand in Buildings Through State Energy Codes Reducing Energy Demand in Buildings Through State Energy Codes Building Codes Project for the 2013 Building...

  17. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    due to different definitions of energy use and boundary,due to different definitions of energy use and boundary, methodology for building energy data definition, collection,

  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

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

  19. Buildings | 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 being directedAnnualProperty EditCalifornia:Power LP Biomass Facility Jump to:Brunei: Energy3BuildingOS byprovide

  20. 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

  1. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1 Buildings Sector

  2. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1 Buildings

  3. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1 BuildingsContact Us

  4. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1 BuildingsContact

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

    SciTech Connect (OSTI)

    Trcka, Marija; Hensena, Jan L.M.; Wetter, Michael

    2010-06-21T23:59:59.000Z

    Integrated performance simulation of buildings HVAC systems can help in reducing energy consumption and increasing occupant comfort. However, no single building performance simulation (BPS) tool offers sufficient capabilities and flexibilities to analyze integrated building systems and to enable rapid prototyping of innovative building and system technologies. One way to alleviate this problem is to use co-simulation, as an integrated approach to simulation. This article elaborates on issues important for co-simulation realization and discusses multiple possibilities to justify the particular approach implemented in the here described co-simulation prototype. The prototype is validated with the results obtained from the traditional simulation approach. It is further used in a proof-of-concept case study to demonstrate the applicability of the method and to highlight its benefits. Stability and accuracy of different coupling strategies are analyzed to give a guideline for the required coupling time step.

  6. Building Energy Code | Department of Energy

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

    Building Codes Assistance Project (BCAP). For more detailed information about building energy codes, visit the http:www.energycodes.govstates DOE and http:...

  7. Preliminary Energy Savings Impact Evaluation: Better Buildings...

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

    Energy Savings Impact Evaluation: Better Buildings Neighborhood Program Preliminary Energy Savings Impact Evaluation: Better Buildings Neighborhood Program Preliminary Energy...

  8. Simulation- Assisted Audit of an Air Conditioned Office Building

    E-Print Network [OSTI]

    Bertagnolio, S.; Lebrun, J.; Hannay, J.; Silva, C. A.

    , an equation-based building-HVAC simulation tool is used to assist the audit. Fuel and electricity consumption are then interpreted and significant energy saving opportunities are identified....

  9. Energy Standards for State Buildings

    Broader source: Energy.gov [DOE]

    The State is still required by statute to adopt planning and construction standards for state buildings that conserve energy and optimize the energy performance of new buildings. The standards mu...

  10. Using EnergyPlus to Simulate the Dynamic Response of a Residential Building to Advanced Cooling Strategies: Preprint

    SciTech Connect (OSTI)

    Booten, C.; Tabares-Velasco, P. C.

    2012-08-01T23:59:59.000Z

    This study demonstrates the ability of EnergyPlus to accurately model complex cooling strategies in a real home with a goal of shifting energy use off peak and realizing energy savings. The house was retrofitted through the Sacramento Municipal Utility District's (SMUD) deep energy retrofit demonstration program; field tests were operated by the National Renewable Energy Laboratory (NREL). The experimental data were collected as part of a larger study and are used here to validate simulation predictions.

  11. STATE-PARAMETER IDENTIFICATION PROBLEMS FOR ACCURATE BUILDING ENERGY AUDITS

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    STATE-PARAMETER IDENTIFICATION PROBLEMS FOR ACCURATE BUILDING ENERGY AUDITS Jordan Brouns1 a fast method for computing model's sensitivities. INTRODUCTION Building energy performance simulation Universit´e de La Rochelle, LaSIE, FER 3474 CNRS, France ABSTRACT Building performance simulation often

  12. Moving Toward Zero Energy Buildings 

    E-Print Network [OSTI]

    Ginsberg, M.

    2008-01-01T23:59:59.000Z

    of Directors U.S. Department of Energy 1000 Independence Avenue, SW Washington, DC 20585 00 12 02/ 5 86 - 12 11 mark.ginsberg@ee.doe.gov Moving Toward Zero Energy Buildings When I began discussing the idea of Zero Energy Buildings in the mid...-1990s, I received sceptical looks and laughter. Today, we are seeing the concept blossom into a large number of buildings throughout the world that are net zero fossil fuel buildings. I use the term zero energy buildings to mean ?buildings...

  13. Moving Toward Zero Energy Buildings

    E-Print Network [OSTI]

    Ginsberg, M.

    2008-01-01T23:59:59.000Z

    -1990s, I received sceptical looks and laughter. Today, we are seeing the concept blossom into a large number of buildings throughout the world that are net zero fossil fuel buildings. I use the term zero energy buildings to mean ?buildings... of Directors U.S. Department of Energy 1000 Independence Avenue, SW Washington, DC 20585 00 12 02/ 5 86 - 12 11 mark.ginsberg@ee.doe.gov Moving Toward Zero Energy Buildings When I began discussing the idea of Zero Energy Buildings in the mid...

  14. 2008 BUILDING ENERGY EFFICIENCY STANDARDS

    E-Print Network [OSTI]

    2008 BUILDING ENERGY EFFICIENCY STANDARDS C A L I F O R N I A E N E RGY CO M M I S S I O N Buildings and Appliances Office #12;Acknowledgments The Building Energy Efficiency Standards (Standards and consultants. Valerie Hall, Deputy Director of the Energy Efficiency and Renewable Division provided policy

  15. Energy Department Announces Building Energy Efficiency Investments...

    Office of Environmental Management (EM)

    Building Energy Efficiency Investments in Twenty-Two States Energy Department Announces Building Energy Efficiency Investments in Twenty-Two States June 27, 2012 - 6:55pm Addthis...

  16. Revealing myths about people, energy and buildings

    E-Print Network [OSTI]

    Diamond, R.

    2011-01-01T23:59:59.000Z

    Myths about People, Energy and Buildings Rick Diamond andmyths about people, energy and buildings are current today?myths about people, energy and buildings? Who tells these

  17. Building Energy Data Exchange Specification Scoping Report |...

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

    Building Energy Data Exchange Specification Scoping Report Building Energy Data Exchange Specification Scoping Report The Building Energy Data Exchange Specification (BEDES),...

  18. Energy Sciences Building | Argonne National Laboratory

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

    Video Argonne's Energy Sciences Building Energy Sciences Building The Energy Sciences Building is a world-class scientific facility and a shining example of sustainable design....

  19. Building Energy Codes

    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 ofHydronicBuildingDepartmentDavid Cohan Program Manager

  20. Building Energy Codes Program

    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 ofHydronicBuildingDepartmentDavid Cohan

  1. 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

  2. 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

  3. 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 

  4. USE OF BESTEST PROCEDURE TO IMPROVE A BUILDING THERMAL SIMULATION PROGRAM

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    USE OF BESTEST PROCEDURE TO IMPROVE A BUILDING THERMAL SIMULATION PROGRAM T. SOUBDHAN*, T. A. MARA Validation of building energy simulation programs is of major interest to both users and modellers. KEYWORDS Building energy simulation; validation; BESTEST; inter program comparison DESCRIPTION BESTEST

  5. Natural Ventilation in Buildings: Measurement in a Wind Tunnel and Numerical Simulation with Large Eddy Simulation

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    save energy consumed by the heating, ventilating, and air- conditioning systems in a building1 Natural Ventilation in Buildings: Measurement in a Wind Tunnel and Numerical Simulation@purdue.edu Abstract Natural ventilation in buildings can create a comfortable and healthy indoor environment, and can

  6. Estimating Building Simulation Parameters via Bayesian Structure Learning

    SciTech Connect (OSTI)

    Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

    2013-01-01T23:59:59.000Z

    Many key building design policies are made using sophisticated computer simulations such as EnergyPlus (E+), the DOE flagship whole-building energy simulation engine. E+ and other sophisticated computer simulations have several major problems. The two main issues are 1) gaps between the simulation model and the actual structure, and 2) limitations of the modeling engine's capabilities. Currently, these problems are addressed by having an engineer manually calibrate simulation parameters to real world data or using algorithmic optimization methods to adjust the building parameters. However, some simulations engines, like E+, are computationally expensive, which makes repeatedly evaluating the simulation engine costly. This work explores addressing this issue by automatically discovering the simulation's internal input and output dependencies from 20 Gigabytes of E+ simulation data, future extensions will use 200 Terabytes of E+ simulation data. The model is validated by inferring building parameters for E+ simulations with ground truth building parameters. Our results indicate that the model accurately represents parameter means with some deviation from the means, but does not support inferring parameter values that exist on the distribution's tail.

  7. Energy 101: Energy Efficient Commercial Buildings

    SciTech Connect (OSTI)

    None

    2014-03-14T23:59:59.000Z

    Learn how commercial buildings can incorporate whole-building design to save energy and money while enhancing performance and comfort. This video highlights several energy-saving features of the Research Support Facility at the Energy Department's National Renewable Energy Laboratory-a model for high-performance office building design.

  8. Energy 101: Energy Efficient Commercial Buildings

    ScienceCinema (OSTI)

    None

    2014-06-26T23:59:59.000Z

    Learn how commercial buildings can incorporate whole-building design to save energy and money while enhancing performance and comfort. This video highlights several energy-saving features of the Research Support Facility at the Energy Department's National Renewable Energy Laboratory-a model for high-performance office building design.

  9. Buildings Events | Department of Energy

    Energy Savers [EERE]

    Webinar: Building America Technology-to-Market Roadmaps 3:00PM to 4:30PM EDT Zero Energy Buildings: What are they and how do we build them? 3:00PM to 4:00PM EDT Residential Energy...

  10. Building Energy Codes Collaborative Technical Assistance for...

    Energy Savers [EERE]

    State Energy Officials - 2014 BTO Peer Review Southeast Energy Efficiency Alliance's Building Energy Codes Project Reducing Energy Demand in Buildings Through State Energy Codes...

  11. Southface Energy Institute: Advanced Commercial Buildings Initiative...

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

    Southface Energy Institute: Advanced Commercial Buildings Initiative - 2015 Peer Review Southface Energy Institute: Advanced Commercial Buildings Initiative - 2015 Peer Review...

  12. Aggregate Building Simulator (ABS) Methodology Development, Application, and User Manual

    SciTech Connect (OSTI)

    Dirks, James A.; Gorrissen, Willy J.

    2011-11-30T23:59:59.000Z

    As the relationship between the national building stock and various global energy issues becomes a greater concern, it has been deemed necessary to develop a system of predicting the energy consumption of large groups of buildings. Ideally this system is to take advantage of the most advanced energy simulation software available, be able to execute runs quickly, and provide concise and useful results at a level of detail that meets the users needs without inundating them with data. The resulting methodology that was developed allows the user to quickly develop and execute energy simulations of many buildings simultaneously, taking advantage of parallel processing to greatly reduce total simulation times. The result of these simulations can then be rapidly condensed and presented in a useful and intuitive manner.

  13. Energy Department Issues Green Building Certification System...

    Office of Environmental Management (EM)

    Issues Green Building Certification System Final Rule to Support Increased Energy Measurement and Efficient Building Design Energy Department Issues Green Building Certification...

  14. Rating the energy performance of buildings

    E-Print Network [OSTI]

    Olofsson, Thomas; Meier, Alan; Lamberts, Roberto

    2004-01-01T23:59:59.000Z

    Energy and Sustainable Buildings, 2004 Available at http://Energy and Sustainable Buildings, Vol. 3, (2004), Olofsson,for a commercial office building in Melbourne, Australia,

  15. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01T23:59:59.000Z

    U.S. and China are the world’s top two economics. Together they consumed one-third of the world’s primary energy. It is an unprecedented opportunity and challenge for governments, researchers and industries in both countries to join together to address energy issues and global climate change. Such joint collaboration has huge potential in creating new jobs in energy technologies and services. Buildings in the US and China consumed about 40% and 25% of the primary energy in both countries in 2010 respectively. Worldwide, the building sector is the largest contributor to the greenhouse gas emission. Better understanding and improving the energy performance of buildings is a critical step towards sustainable development and mitigation of global climate change. This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  16. Building Energy Monitoring and Analysis

    SciTech Connect (OSTI)

    Hong, Tianzhen; Feng, Wei; Lu, Alison; Xia, Jianjun; Yang, Le; Shen, Qi; Im, Piljae; Bhandari, Mahabir

    2013-06-01T23:59:59.000Z

    This project aimed to develop a standard methodology for building energy data definition, collection, presentation, and analysis; apply the developed methods to a standardized energy monitoring platform, including hardware and software, to collect and analyze building energy use data; and compile offline statistical data and online real-time data in both countries for fully understanding the current status of building energy use. This helps decode the driving forces behind the discrepancy of building energy use between the two countries; identify gaps and deficiencies of current building energy monitoring, data collection, and analysis; and create knowledge and tools to collect and analyze good building energy data to provide valuable and actionable information for key stakeholders.

  17. New! Building Energy Standards Essentials for Plans Examiners & Building Inspectors

    E-Print Network [OSTI]

    New! Building Energy Standards Essentials for Plans Examiners & Building Inspectors Building energy codes are complex. Plans examiners and building inspectors are expected to understand and enforce energy savings. This new, hands-on course strives to provide plans examiners and building inspectors

  18. Simulated Building Energy Performance of Single Family Detached Residences Designed for Off-Grid, Off-Pipe Operation 

    E-Print Network [OSTI]

    Malhotra, M.; Haberl, J.

    2010-01-01T23:59:59.000Z

    that are essential for its offgrid, off-pipe (i.e., utility-independent) operation. The analysis used a DOE-2.1e simulation model of a 2000/ 2001 IECC (International Energy Conservation Code) standard house as a base case in three climate locations: Minneapolis, MN...

  19. IFC BIM-Based Methodology for Semi-Automated Building Energy

    E-Print Network [OSTI]

    LBNL-919E IFC BIM-Based Methodology for Semi- Automated Building Energy Performance Simulation-Automated Building Energy Performance Simulation Vladimir Bazjanac, Ph.D. Building Technologies Department Berkeley, CA 94720 v-bazjanac@lbl.gov ABSTRACT Building energy performance (BEP) simulation is still rarely

  20. 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 ...

  1. Scenario analysis of retrofit strategies for reducing energy consumption in Norwegian office buildings

    E-Print Network [OSTI]

    Engblom, Lisa A. (Lisa Allison)

    2006-01-01T23:59:59.000Z

    Model buildings were created for simulation to describe typical office buildings from different construction periods. A simulation program was written to predict the annual energy consumption of the buildings in their ...

  2. Simulating Buoyancy-Driven Airflow in Buildings by1 Coarse-Grid Fast Fluid Dynamics2

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Simulating Buoyancy-Driven Airflow in Buildings by1 Coarse-Grid Fast Fluid Dynamics2 Mingang Jin1. Introduction33 Whole-building airflow simulations are required in applications such as natural ventilation34 design, coupled building airflow and energy simulation, smoke control, and air quality diagnosis35

  3. 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...

  4. Building Energy Code

    Broader source: Energy.gov [DOE]

    In 2009 S.B. 1182 created the Oklahoma Uniform Building Code Commission. The 11-member Commission was given the power to conduct rulemaking processes to adopt new building codes. The codes adopted...

  5. 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...

  6. 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...

  7. Simulation as a Tool to Develop Guidelines of Envelope Design of a Typical Office Building in Egypt

    E-Print Network [OSTI]

    Samaan, M.M.; Ahmed, A.N.; Farag, O.M.A.; El-Sayed Khalil, M.

    2011-01-01T23:59:59.000Z

    This paper describes the use of building performance simulation software in order to develop guidelines for designing energy-efficient office building. In Egypt energy codes for all building types are being under development. On the other hand...

  8. A prediction of energy savings resulting from building infiltration control

    E-Print Network [OSTI]

    McWatters, Kenneth Rob

    1995-01-01T23:59:59.000Z

    This thesis provides a description of the methods of application of theoretical models of heat transfer in computer simulations, to determine the energy performance of a wall or building. The heat transfer simulations include calculation equations...

  9. Review of Building Energy Saving Techniques

    E-Print Network [OSTI]

    Zeng, X.; Zhu, D.

    2006-01-01T23:59:59.000Z

    The pace of building energy saving in our country is late, compared with developed countries, and the consumption of building energy is much higher. Therefore, it is imperative to open up new building energy saving techniques and heighten energy use...

  10. Review of Building Energy Saving Techniques 

    E-Print Network [OSTI]

    Zeng, X.; Zhu, D.

    2006-01-01T23:59:59.000Z

    The pace of building energy saving in our country is late, compared with developed countries, and the consumption of building energy is much higher. Therefore, it is imperative to open up new building energy saving techniques and heighten energy use...

  11. Building Energy Information Systems: User Case Studies

    E-Print Network [OSTI]

    Granderson, Jessica

    2010-01-01T23:59:59.000Z

    energy and building automation systems. Lilburn, GA:providers' use of building automation systems (BAS), orweb- based building control and automation systems and their

  12. 1 | Building America eere.energy.gov DOE's Building America

    E-Print Network [OSTI]

    1 | Building America eere.energy.gov DOE's Building America Low-E Storm Window Adoption Program Working Group #12;2 | Building America eere.energy.gov Pacific Northwest National Laboratory · Katie Cort, Larson Manufacturing Company Key Staff #12;3 | Building America eere.energy.gov Problem · Windows account

  13. BUILDING ENERGY 1987 Edition

    E-Print Network [OSTI]

    changes in lighting control and HVAC requirements. The lighting control requirements in Section 2-5319(a, are required for all alterations. The HVAC requirements of new buildings are requ ired for some HVAC alterat for a wide variety of building shapes. "SECOND GENERATioN" ALTERNATIVE HVAC COMPLIANCE CODIFIED 4

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

    Energy Savers [EERE]

    about BEopt. See an example of a Building America project that used BEopt. Find more case studies of Building America projects across the country that incorporate BEopt when...

  15. Computer Energy Modeling Techniques for Simulation Large Scale Correctional Institutes in Texas 

    E-Print Network [OSTI]

    Heneghan, T.; Haberl, J. S.; Saman, N.; Bou-Saada, T. E.

    1996-01-01T23:59:59.000Z

    Building energy simulation programs have undergone an increase in use for evaluating energy consumption and energy conservation retrofits in buildings. Utilization of computer simulation programs for large facilities with multiple buildings, however...

  16. Building Energy Code

    Broader source: Energy.gov [DOE]

    All new residential, commercial, and community-owned buildings constructed on or after January 1, 1992 that recieve financing from the Alaska Housing Finance Corporation (AHFC) must comply with...

  17. 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.

  18. The Cost of Enforcing Building Energy Codes: Phase 1

    E-Print Network [OSTI]

    Williams, Alison

    2013-01-01T23:59:59.000Z

    2006). Re: 2008 Building Energy Efficiency Standards -2010). 2008 Building Energy Efficiency Standards2010). 2008 Building Energy Efficiency Standards Residential

  19. Energy Signal Tool for Decision Support in Building Energy Systems

    SciTech Connect (OSTI)

    Henze, G. P.; Pavlak, G. S.; Florita, A. R.; Dodier, R. H.; Hirsch, A. I.

    2014-12-01T23:59:59.000Z

    A prototype energy signal tool is demonstrated for operational whole-building and system-level energy use evaluation. The purpose of the tool is to give a summary of building energy use which allows a building operator to quickly distinguish normal and abnormal energy use. Toward that end, energy use status is displayed as a traffic light, which is a visual metaphor for energy use that is either substantially different from expected (red and yellow lights) or approximately the same as expected (green light). Which light to display for a given energy end use is determined by comparing expected to actual energy use. As expected, energy use is necessarily uncertain; we cannot choose the appropriate light with certainty. Instead, the energy signal tool chooses the light by minimizing the expected cost of displaying the wrong light. The expected energy use is represented by a probability distribution. Energy use is modeled by a low-order lumped parameter model. Uncertainty in energy use is quantified by a Monte Carlo exploration of the influence of model parameters on energy use. Distributions over model parameters are updated over time via Bayes' theorem. The simulation study was devised to assess whole-building energy signal accuracy in the presence of uncertainty and faults at the submetered level, which may lead to tradeoffs at the whole-building level that are not detectable without submetering.

  20. Building America Residential Energy Efficiency Research Planning...

    Energy Savers [EERE]

    Building America Residential Energy Efficiency Research Planning Meeting: October 2011 Building America Residential Energy Efficiency Research Planning Meeting: October 2011 On...

  1. Energy Savings in Industrial Buildings 

    E-Print Network [OSTI]

    Zhou, A.; Tutterow, V.; Harris, J.

    2009-01-01T23:59:59.000Z

    , and electricity for equipment such as pumps, air compressors, and fans. Lesser, yet significant, amounts of energy are used for industrial buildings – heating, ventilation, and air conditioning (HVAC), lighting and facility use (such as office equipment). Due...

  2. Buildings Events | Department of Energy

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

    Peer Exchange Call 4:30PM to 6:00PM EDT The Federal Guiding Principles Checklist in ENERGY STAR Portfolio 6:00PM to 7:30PM EDT Better Buildings Residential Network Orientation...

  3. ENERGY STAR® Guide to Energy Efficiency Competitions for Buildings...

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

    ENERGY STAR Guide to Energy Efficiency Competitions for Buildings and Plants ENERGY STAR Guide to Energy Efficiency Competitions for Buildings and Plants This step-by-step...

  4. Addendum to the Building America House Simulation Protocols

    SciTech Connect (OSTI)

    Engebrecht-Metzger, C.; Wilson, E.; Horowitz, S.

    2012-12-01T23:59:59.000Z

    As Building America (BA) has grown to include a large and diverse cross-section of the home building and retrofit industries, it has become more important to develop accurate, consistent analysis techniques to measure progress towards the program's goals. The House Simulation Protocols (HSP) provides guidance to program partners and managers so that energy savings for new construction and retrofit projects can be compared alongside each other. The HSP provides the program with analysis methods that are proven to be effective and reliable in investigating the energy use of advanced energy systems and of entire houses.

  5. Revisit of Energy Use and Technologies of High Performance Buildings

    E-Print Network [OSTI]

    Li Ph.D., Cheng

    2014-01-01T23:59:59.000Z

    Energy performance of LEED for new construction buildings:New Buildings Institute.New Buildings Institute. 2013. Buildings database, http://

  6. Energy use in office buildings

    SciTech Connect (OSTI)

    None

    1980-10-01T23:59:59.000Z

    This is the report on Task IB, Familiarization with Additional Data Collection Plans of Annual Survey of BOMA Member and Non-Member Buildings in 20 Cities, of the Energy Use in Office Buildings project. The purpose of the work was to monitor and understand the efforts of the Building Owners and Managers Association International (BOMA) in gathering an energy-use-oriented data base. In order to obtain an improved data base encompassing a broad spectrum of office space and with information suitable for energy analysis in greater detail than is currently available, BOMA undertook a major data-collection effort. Based on a consideration of geographic area, climate, population, and availability of data, BOMA selected twenty cities for data collection. BOMA listed all of the major office space - buildings in excess of 40,000 square feet - in each of the cities. Tax-assessment records, local maps, Chamber of Commerce data, recent industrial-development programs, results of related studies, and local-realtor input were used in an effort to assemble a comprehensive office-building inventory. In order to verify the accuracy and completeness of the building lists, BOMA assembled an Ad-Hoc Review Committee in each city to review the assembled inventory of space. A questionnaire on office-building energy use and building characteristics was developed. In each city BOMA assembled a data collection team operating under the supervision of its regional affiliate to gather the data. For each city a random sample of buildings was selected, and data were gathered. Responses for over 1000 buildings were obtained.

  7. Building Design Advisor: Automated integration of multiple simulation tools K. Papamichael, J. LaPorta, H. Chauvet

    E-Print Network [OSTI]

    LBNL-40591 Preprint Building Design Advisor: Automated integration of multiple simulation tools K. Papamichael, J. LaPorta, H. Chauvet Building Technologies Program Environmental Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory Berkeley, California 94720 Abstract The 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. 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...

  10. 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...

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

    E-Print Network [OSTI]

    Katipamula, S.; Claridge, D. E.

    1991-01-01T23:59:59.000Z

    Several state owned buildings with dual-duct constant volume (DDCV) systems have been retrofitted with energy efficient variable air volume systems (VAV) as part of the Texas LoanSTAR Program. One method of determining the energy savings resulting...

  12. SIMULATION-BASED WEATHER NORMALIZATION APPROACH TO STUDY THE IMPACT OF WEATHER ON ENERGY USE OF BUILDINGS IN THE U.S.

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Srivastava, Viraj; Wang, Na

    2013-08-05T23:59:59.000Z

    Weather normalization is a crucial task in several applications related to building energy conservation such as retrofit measurements and energy rating. This paper documents preliminary results found from an effort to determine a set of weather adjustment coefficients that can be used to smooth out impacts of weather on energy use of buildings in 1020 weather location sites available in the U.S. The U.S. Department of Energy (DOE) commercial reference building models are adopted as hypothetical models with standard operations to deliver consistency in modeling. The correlation between building envelop design, HVAC system design and properties for different building types and the change in heating and cooling energy consumption caused by variations in weather is examined.

  13. Conference Proceedings distributing knowledge in building Title: An Internet-based Building Simulation Quality

    E-Print Network [OSTI]

    Amor, Robert

    -based Building Simulation Quality Assurance System Author(s): Shengjiang Lu1 , Robert Amor1 and Michael Donn2 describes the development of a distributed building simulation quality control system. The basic premise (building simulation quality assurance) was proposed, building upon the ideals of the semantic web (Donn et

  14. 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...

  15. Singapore's Zero-Energy Building's daylight monitoring system

    E-Print Network [OSTI]

    Grobe, Lars

    2010-01-01T23:59:59.000Z

    Singapore’s Zero-Energy Building’s daylight monitoringof California. Singapore’s Zero-Energy Building's daylightchambers in BCAA's Zero Energy Building in Singapore. These

  16. Singapore's Zero-Energy Building's daylight monitoring system

    E-Print Network [OSTI]

    Grobe, Lars

    2010-01-01T23:59:59.000Z

    Singapore’s Zero-Energy Building’s daylight monitoringSingapore’s Zero-Energy Building's daylight monitoringchambers in BCAA's Zero Energy Building in Singapore. These

  17. Building Energy Code

    Broader source: Energy.gov [DOE]

    All residential and commercial structures are required to comply with the state’s energy code. The 2009 New Mexico Energy Conservation Code (NMECC), effective June 2013, is based on 2009...

  18. Building Energy Code

    Broader source: Energy.gov [DOE]

    Authority for adopting the state energy codes was previously vested in the Energy Security Office of the Department of Commerce (originally the Department of Public Services). In 1999-2000, the...

  19. Building Energy-Efficient Schools

    E-Print Network [OSTI]

    ), through the National Renewable Energy Laboratory (NREL), began providing technical assistance to New to spend their Federal Emergency Management Agency (FEMA) settlement money on temporary campuses. LangstonBuilding Energy- Efficient Schools in New Orleans Lessons Learned #12;2 #12;3 The devastation

  20. Energy efficiency in public buildings through ICT based control and monitoring systems

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Energy efficiency in public buildings through ICT based control and monitoring systems G, France Keywords: energy efficiency, existing public buildings, control strategies, dynamic simulations a project entitled "Smart Energy Efficient Middleware for Public Spaces" (SEEMPubS). The project addresses

  1. Optimal Technology Investment and Operation in Zero-Net-Energy Buildings with Demand Response

    E-Print Network [OSTI]

    Stadler, Michael

    2009-01-01T23:59:59.000Z

    Net- Energy Buildings with Demand Response Michael Stadler,Net-Energy Buildings with Demand Response 1 Michael Stadlerbuilding simulation tools, e.g. , EnergyPlus, require specification of the demand response

  2. Using DOE Commercial Reference Buildings for Simulation Studies: Preprint

    SciTech Connect (OSTI)

    Field, K.; Deru, M.; Studer, D.

    2010-08-01T23:59:59.000Z

    The U.S. Department of Energy developed 256 EnergyPlus models for use in studies that aim to characterize about 70% of the U.S. commercial building stock. Sixteen building types - including restaurants, health care, schools, offices, supermarkets, retail, lodging, and warehouses - are modeled across 16 cities to represent the diversity of U.S. climate zones. Weighting factors have been developed to combine the models in proportions similar to those of the McGraw-Hill Construction Projects Starts Database for 2003-2007. This paper reviews the development and contents of these models and their applications in simulation studies.

  3. Building Energy Asset Score: Building Owners | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartment ofCodesBuilding Owners

  4. DOE Zero Energy Ready Home Webinar: Building Energy Optimization...

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

    Building Energy Optimization (BEopt) Software DOE Zero Energy Ready Home Webinar: Building Energy Optimization (BEopt) Software This webinar was presented on May 15, 2014 and gives...

  5. Impact of Climate Change Heating and Cooling Energy Use in Buildings in the United States

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Impact of Climate Change Heating and Cooling Energy Use in Buildings in the United States Haojie activities in buildings. One area directly affected by climate change is the energy consumption for heating data for use in building energy simulations by EnergyPlus. Two types of residential buildings and seven

  6. GSA Building Energy Strategy

    Office of Environmental Management (EM)

    6.5 billion in utilities each year. GSA plays a large role in this business through its energy procurements, alternative financing mechanism, regulatory intervention and...

  7. Buildings | 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 being directedAnnual Siteof EnergyInnovation in CarbonofBiotinsBostonBridgerBuckeyeEnergy

  8. 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

    of Public Buildings. Energy and Buildings (41), 426–435.and Renewable Energy, Building Technologies Program, of theand Renewable Energy, Building Technologies Program, of the

  9. Evaluation of Energy Concepts for Office Buildings

    E-Print Network [OSTI]

    Fisch, M.; Norbert, M.; Plesser, S.

    2005-01-01T23:59:59.000Z

    ) Figure 2 Average Annual Consumption of Primary Energy for 16 EVA-buildings and Reference-Studies Reference studies: Schweiz [2], EG-Audit [5], Stadt Frankfurt [6], enerkenn [3] EVA glassed buildings includes 4 buildings with existing data... buildings and analysed existing data on energy consumption suggest that glassed office buildings do not generally have a significantly higher energy consumption than regular office buildings. Introduction Over the last 10 years, some research...

  10. 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

  11. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture applications |1.1

  12. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture applications |1.12.1

  13. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture applications

  14. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture applications4.1

  15. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture applications4.15.1

  16. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture applications4.15.16.1

  17. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture

  18. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1

  19. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1Most Popular Tables

  20. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1Most Popular

  1. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1Most Popular 5.5 :

  2. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1Most Popular 5.5

  3. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy,ARMForms About Batteries Batteries AnVirtualcapture8.1Most Popular

  4. Energy Efficient Buildings Hub

    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:RevisedAdvisoryStandard |in STEMEnergyI.of Energy Energy

  5. Office Buildings - Energy Consumption

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar Apr May Jun Jul Aug SepDecadeEnergy Consumption

  6. Buildings Energy Data Book

    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 for4,645 3,625 1,006 492 742EnergyOnItem NotEnergy, science,SpeedingWu,IntelligenceYou are here Western PagesPages

  7. Commercial Buildings Integration Program | Department of Energy

    Office of Environmental Management (EM)

    Million to Support Commercial Building Efficiency These four projects will generate data, case studies, and information intended to help commercial building owners adopt new energy...

  8. 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

  9. 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

  10. A DETAILLED WEATHER DATA GENERATOR FOR BUILDINGS SIMULATION

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A DETAILLED WEATHER DATA GENERATOR FOR BUILDINGS SIMULATION L. ADELARD*, H. BOYER, F. GARDE, J@iremia.univ-reunion.fr Abstract Thermal buildings simulation softwares need meteorological files in thermal comfort, energetic@iremia.univ-reunion.fr #12;1 A DETAILLED WEATHER DATA GENERATOR FOR BUILDINGS SIMULATION L. Adelard*, H. Boyer, F. Garde, J

  11. 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

  12. Combining building thermal simulation methods and LCA methods

    E-Print Network [OSTI]

    Hansen, René Rydhof

    - 1 - Combining building thermal simulation methods and LCA methods Frank Pedersen, Researcher assessment (LCA) method into a whole building hygro-thermal simulation tool. The motivation for the work of buildings (CEN/TC 350). Combining LCA methods with hygro-thermal simulation tools enables designers

  13. Midwest Building Energy Program

    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 YourTransport(FactDepartment3311,Official FileEnergy Midsize Wind Turbines for theMidwest

  14. RADON DAUGHTER EXPOSURES IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Nero, A.V.

    2010-01-01T23:59:59.000Z

    DAUGHTER EXPOSURES IN ENERGY-EFFICIENT BUILDINGS A.V. Nero,DAUGHTER EXPOSURES IN ENERGY-EFFICIENT BUILDINGS A.V. Nero,vs. VENTILATION IN ENERGY EFFICIENT HOUSES Air change rate(

  15. Optimization of energy parameters in buildings

    E-Print Network [OSTI]

    Jain, Ruchi V

    2007-01-01T23:59:59.000Z

    When designing buildings, energy analysis is typically done after construction has been completed, but making the design decisions while keeping energy efficiency in mind, is one way to make energy-efficient buildings. The ...

  16. N. Mariana Islands- 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...

  17. Buildings | 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 Russian NuclearandJune 17,Agenda Top Innovation Spotlight: BuildingofBuzRSS

  18. Buildings Events | Department of Energy

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

    March 2015 < prev next > Sun Mon Tue Wed Thu Fri Sat 1 2 3 4 5 6 7 Home Energy Score Update: New Simulation Training & Credential Requirements for Assessors 2:00PM to 3:00PM EST 8...

  19. INDOOR AIR QUALITY MEASUREMENTS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Hollowell, C.D.

    2011-01-01T23:59:59.000Z

    Quality Measurements in Energy Efficient Buildings Craig D.Quality ~leasurements in Energy Efficient Buildings Craig D.Gregory W. Traynor Energy Efficient Buildings Program Energy

  20. Building Energy-Efficiency Best Practice Policies and Policy Packages

    E-Print Network [OSTI]

    Levine, Mark

    2014-01-01T23:59:59.000Z

    energy use in buildings and energy efficiency retrofits;example in which building and energy-efficiency experts cameTechnical Standard of Building Energy Efficiency Labeling.

  1. Assessment of Energy Impact of Window Technologies for Commercial Buildings

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    Energy, 2007 Buildings Energy Data Book, September 2007.levels (2006 Buildings Energy Data Book). Figure 1 - Shareto the 2007 Buildings Energy Data Book, among all types of

  2. 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...

  3. 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

  4. Energy Management Strategies for Existing Buildings 

    E-Print Network [OSTI]

    Gilmer, L.

    2009-01-01T23:59:59.000Z

    Energy Management Strategies for Existing Buildings Energy efficiency in the built environment: in the United States, we have over 5 million existing buildings. These buildings consume a large percentage of our resources, one of which is energy.... In the coming years, as our demands increase, our infrastructure ages, and we set goals to reduce our green house gas emissions, building energy use plays a vital role. Our success in reducing our carbon footprint lies in our ability to determine energy use...

  5. 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...

  6. Use of Computer Simulation to Reduce the Energy Consumption in a Tall Office Building in Dubai-UAE

    E-Print Network [OSTI]

    Abu-Hijleh, B.; Abu-Dakka, M.

    2010-01-01T23:59:59.000Z

    ,200 kilowatt hours per square meter, and the direct illumination falling to the earth exceeds 90000 lux in summer, the second highest in the world (Al-Sallal and Ahmed, 2007). Being on the tropic of cancer (24 deg N) results in that the UAE region...: 3D Max Design, Radiance and Daysim. Reinhart and Fitz (2009) investigated the performance of the above three programs (3D Max Design, Radiance and Daysim) through running of daylighting simulations for a room and comparing the results...

  7. Energy Analysis and Energy Conservation Options for the Addition to Records Storage Building

    E-Print Network [OSTI]

    Farzad, M.; O'Neal, D. L.

    1986-01-01T23:59:59.000Z

    analyzed using the DOE 2.1B building energy simulation program. An analysis was made for the building as specified in schematic designs and primary drawings. To reduce the solar heat gain of the building through the windows and skylights, a glass with high..., and implementing the proposed ASHRAE standards. Finally, the energy consumption of the building was compared with the energy consumption of the building with solar film and other options which conformed to the proposed ASHRAE energy standard. SUMMARY The energy...

  8. Building Energy Codes Program (BECP)

    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 ofHydronicBuildingDepartmentDavid CohanEnergy Codes

  9. Building Energy Codes 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 ofHydronicBuildingDepartmentDavid CohanEnergy CodesProgram

  10. Buildings Events | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy FutureDepartment of EnergyRolandBuilding the

  11. Buildings Events | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy FutureDepartment of EnergyRolandBuilding theAugust 2015 <

  12. Honest Buildings | 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, search OpenEIHesperia, California: EnergyHoloceneHonest Buildings Jump to:

  13. Comparative Study of Availability on Energy/Environment Commissioning Using Existing HVAC Simulation Programs for a Model Building 

    E-Print Network [OSTI]

    Niwa, H.; Nakahara, N.; Okumiya, M.; Suganaga, M.; Tanaka, H.; Pan, S.; Watanabe, T.; Zheng, M.

    2004-01-01T23:59:59.000Z

    MJ/a/?)( 191MJ/a/?) ??(primary energy total)?OA intake volume is set constant in spite of VAV7MWh/a31MWh/a38MWh/a1,589GJ/a( 25GJ/a)( 112GJ/a)( 137GJ/a)(per total floor area)?( 31W/?)?( 33W/?)?( 64W/?)( 8MJ/a/?)( 34MJ/a/?)( 41MJ.../a)( 115GJ/a)( 209GJ/a)(per total floor area)?Energy consumption in April, May and October was deducted except ff ?( 77W/?)?( 91W/?)( 168W/?)( 28MJ/a/?)( 35MJ/a/?)( 63MJ/a/?) 538MJ/a/?81MWh/a102MWh/a182MWh/a(secondaru energy tota l 0.55?VAV supply...

  14. City of Chicago- Building Energy Code

    Broader source: Energy.gov [DOE]

    The Chicago Energy Conservation Code (CECC) requires residential buildings applying for building permits to comply with energy efficient measures which go beyond those required by the [http://www...

  15. REDUCING ENERGY USE IN FLORIDA BUILDINGS

    E-Print Network [OSTI]

    Raustad, R.; Basarkar, M.; Vieira, R.

    to determine the energy saving features available which are, in most cases, stricter than the current Florida Building Code. The energy savings features include improvements to building envelop, fenestration, lighting and equipment, and HVAC efficiency...

  16. NET-ZERO ENERGY BUILDING OPERATOR TRAINING PROGRAM (NZEBOT)

    SciTech Connect (OSTI)

    Brizendine, Anthony; Byars, Nan; Sleiti, Ahmad; Gehrig, Bruce; Lu, Na

    2012-12-31T23:59:59.000Z

    The primary objective of the Net-Zero Energy Building Operator Training Program (NZEBOT) was to develop certificate level training programs for commercial building owners, managers and operators, principally in the areas of energy / sustainability management. The expected outcome of the project was a multi-faceted mechanism for developing the skill-based competency of building operators, owners, architects/engineers, construction professionals, tenants, brokers and other interested groups in energy efficient building technologies and best practices. The training program draws heavily on DOE supported and developed materials available in the existing literature, as well as existing, modified, and newly developed curricula from the Department of Engineering Technology & Construction Management (ETCM) at the University of North Carolina at Charlotte (UNC-Charlotte). The project goal is to develop a certificate level training curriculum for commercial energy and sustainability managers and building operators that: 1) Increases the skill-based competency of building professionals in energy efficient building technologies and best practices, and 2) Increases the workforce pool of expertise in energy management and conservation techniques. The curriculum developed in this project can subsequently be used to establish a sustainable energy training program that can contribute to the creation of new “green” job opportunities in North Carolina and throughout the Southeast region, and workforce training that leads to overall reductions in commercial building energy consumption. Three energy training / education programs were developed to achieve the stated goal, namely: 1. Building Energy/Sustainability Management (BESM) Certificate Program for Building Managers and Operators (40 hours); 2. Energy Efficient Building Technologies (EEBT) Certificate Program (16 hours); and 3. Energy Efficent Buildings (EEB) Seminar (4 hours). Training Program 1 incorporates the following topics in the primary five-day Building Energy/Sustainability Management Certificate program in five training modules, namely: 1) Strategic Planning, 2) Sustainability Audits, 3) Information Analysis, 4) Energy Efficiency, and 5) Communication. Training Program 2 addresses the following technical topics in the two-day Building Technologies workshop: 1) Energy Efficient Building Materials, 2) Green Roofing Systems, 3) Energy Efficient Lighting Systems, 4) Alternative Power Systems for Buildings, 5) Innovative Building Systems, and 6) Application of Building Performance Simulation Software. Program 3 is a seminar which provides an overview of elements of programs 1 and 2 in a seminar style presentation designed for the general public to raise overall public awareness of energy and sustainability topics.

  17. Integrating Renewable Energy Systems in Buildings (Presentation)

    SciTech Connect (OSTI)

    Hayter, S. J.

    2011-08-01T23:59:59.000Z

    This presentation on integrating renewable energy systems into building was presented at the August, 2011 ASHRAE Region IX CRC meetings.

  18. Re-Energize: Building Energy Smart Communities

    Broader source: Energy.gov [DOE]

    This is a document posted on the website of the U.S. Department of Energy's Better Buildings Neighborhood Program.

  19. For presentation at Building Simulation '99, International Building Performance Simulation Association (IBPSA), September 13-15, 1999, in Kyoto, Japan, and to be published in the Proceedings.

    E-Print Network [OSTI]

    .S. Department of Energy under Contract No. DE-AC03-76SF00098. THERM 2.0: A BUILDING COMPONENT MODEL FOR STEADY-dimensional heat transfer simulations require complex methods for describing the model geometry. This added #12;1 THERM 2.0: A BUILDING COMPONENT MODEL FOR STEADY-STATE TWO-DIMENSIONAL HEAT TRANSFER Charlie

  20. Building Energy-Efficiency Best Practice Policies and Policy Packages

    E-Print Network [OSTI]

    Levine, Mark

    2014-01-01T23:59:59.000Z

    study of Ningbo. Energy and Buildings(43), 2197-2202. Yin,buildings in China. Energy and Buildings, 36, 1191-1196.Public Buildings. Energy and Buildings, 41, 426:435. Hong,

  1. PROPOSED 2013 BUILDING ENERGY EFFICIENCY STANDARDS

    E-Print Network [OSTI]

    PROPOSED 2013 BUILDING ENERGY EFFICIENCY STANDARDS Title 24, Part 6, and Associated400201200415 DAY #12;2013 Building Energy Efficiency Standards Page 1 NOTICE NOTICE This version of the 2013 Building Energy Efficiency Standards is a marked version; that is, it contains underlined or struck

  2. ,/ t"tSlifornla Energy Building Regulations

    E-Print Network [OSTI]

    J ,/ t"tSlifornla 'IOt'nergy Commission Energy Building Regulations for New Residential and Nonre (Energy Building Regulations) 1-1 #12;#12;Section TABLE OF CONTENTS Title Page 1401 1402 General.--ENERGY BUILDING REGULATIONS Section 1401. General. This article contains administrative regulations

  3. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    platforms and  building automation systems (BAS), a building  automation  control,  fault  detection  and  diagnostics  (FDD),  and  continuous  system 

  4. The Cost of Enforcing Building Energy Codes: Phase 1

    E-Print Network [OSTI]

    Williams, Alison

    2013-01-01T23:59:59.000Z

    S. (2011). Utilities and Building Energy Codes: Air QualityUtility Programs and Building Energy Codes: How utilityUtility Programs and Building Energy Codes: How utility

  5. Using Dashboards to Improve Energy and Comfort in Federal Buildings

    E-Print Network [OSTI]

    Marini, Kyle

    2011-01-01T23:59:59.000Z

    Web based enterprise energy and building automation systems.from an Analysis of Building Energy Information SystemG. , & Price, P. 2009b. Building Energy Information Systems:

  6. Gauging Improvements in Urban Building Energy Policy in India

    E-Print Network [OSTI]

    Williams, Christopher

    2013-01-01T23:59:59.000Z

    constructing a net zero-energy building to house the REECCountry Report on Building Energy Codes in India. Richland,2010. Mainstreaming Building Energy Efficiency Codes in

  7. Worldwide Status of Energy Standards for Buildings - Appendices

    E-Print Network [OSTI]

    Janda, K.B.

    2008-01-01T23:59:59.000Z

    Consumption in Buildings and Energy Efficiency Projectsnon-residential buildings: Energy Efficiency of ElectricalBetter" National Building Agency "Energy Efficiency in New

  8. Gauging Improvements in Urban Building Energy Policy in India

    E-Print Network [OSTI]

    Williams, Christopher

    2013-01-01T23:59:59.000Z

    Mainstreaming Building Energy Efficiency Codes in Developing2010. Transforming the Building Energy Efficiency Market inin crafting new building energy efficiency policies and

  9. Energy Demands and Efficiency Strategies in Data Center Buildings

    E-Print Network [OSTI]

    Shehabi, Arman

    2010-01-01T23:59:59.000Z

    improving building energy efficiency has the potential toand improving building energy efficiency by exploring thecontributes to general building energy efficiency efforts by

  10. A Retrofit Tool for Improving Energy Efficiency of Commercial Buildings

    E-Print Network [OSTI]

    Levine, Mark

    2014-01-01T23:59:59.000Z

    communication on building energy efficiency policy in China.emitting country. Building energy efficiency has become antarget. One of the building energy efficiency policies the

  11. European Union Energy Performance of Building Directive and the Impact of Building Automation on Energy Efficiency

    E-Print Network [OSTI]

    Wirth, U.

    2008-01-01T23:59:59.000Z

    Gubelstrasse 22 CH-6301 Zug 00 41 41/ 7 24 55 60 wirth.ulrich@siemens.com European Union Energy Performance of Buildings Directive and The impact of Building Automation on Energy Efficiency Buildings account for 40 percent of global energy... building automation and control and technical building management based on the same may provide a demonstrable contribution to EU savings goals of 20 percent by 2020. The goal of European Directive 2002/91/EC on the total energy efficiency of buildings...

  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

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

  13. 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...

  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. Building Envelopes | Clean Energy | ORNL

    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 Envelopes MFEL.jpg The

  16. Energy Efficiency Building Code for Commercial Buildings in Sri Lanka

    SciTech Connect (OSTI)

    Busch, John; Greenberg, Steve; Rubinstein, Francis; Denver, Andrea; Rawner, Esther; Franconi, Ellen; Huang, Joe; Neils, Danielle

    2000-09-30T23:59:59.000Z

    1.1.1 To encourage energy efficient design or retrofit of commercial buildings so that they may be constructed, operated, and maintained in a manner that reduces the use of energy without constraining the building function, the comfort, health, or the productivity of the occupants and with appropriate regard for economic considerations. 1.1.2 To provide criterion and minimum standards for energy efficiency in the design or retrofit of commercial buildings and provide methods for determining compliance with them. 1.1.3 To encourage energy efficient designs that exceed these criterion and minimum standards.

  17. Building Energy Codes | 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 being directedAnnualProperty EditCalifornia:Power LP Biomass Facility Jump to:Brunei: Energy3 WindBuilding Energy

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

    Energy Savers [EERE]

    Energy Efficiency Stakeholders Meeting: March 2011 Building America Residential Energy Efficiency Stakeholders Meeting: March 2011 On this page, you may link to the summary report...

  19. Building America Residential Energy Efficiency Technical Update...

    Energy Savers [EERE]

    Residential Energy Efficiency Technical Update Meeting: August 2011 Building America Residential Energy Efficiency Technical Update Meeting: August 2011 On this page, you may link...

  20. Better Buildings Neighborhood Program: Energy Efficiency Market...

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

    Program: Energy Efficiency Market Sustainable Business Planning Better Buildings Neighborhood Program: Energy Efficiency Market Sustainable Business Planning U.S. Department of...

  1. Energy Reduction Plan for State Buildings

    Broader source: Energy.gov [DOE]

    In April 2007, Massachusetts Gov. Deval Patrick signed Executive Order 484, titled “Leading by Example: Clean Energy and Efficient Buildings.” This order establishes numerous energy targets and...

  2. Worldwide Energy Efficiency Action through Capacity Building...

    Open Energy Info (EERE)

    and Training (WEACT) Jump to: navigation, search Logo: Worldwide Energy Efficiency Action through Capacity Building and Training (WEACT) Name Worldwide Energy Efficiency Action...

  3. Residential Buildings Integration | Department of Energy

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

    Promote the use of energy efficient technologies and methods by builders through the DOE Zero Energy Ready Home program. Building Codes and Equipment Standards Provide a wide...

  4. Building Energy Optimization Tool (BEopt) Training

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

    Tool (BEopt) 2 | INNOVATION & INTEGRATION: Transforming the Energy Efficiency Market Buildings.Energy.gov The Home of the Future....Today 3 | INNOVATION & INTEGRATION:...

  5. 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

    fast urbanization makes building energy efficiency a crucials potential for building energy efficiency and on-siteor carbon effective building energy efficiency and on-site

  6. Renewable Energy Applications for Existing Buildings: Preprint

    SciTech Connect (OSTI)

    Hayter, S. J.; Kandt, A.

    2011-08-01T23:59:59.000Z

    This paper introduces technical opportunities, means, and methods for incorporating renewable energy (RE) technologies into building designs and operations. It provides an overview of RE resources and available technologies used successfully to offset building electrical and thermal energy loads. Methods for applying these technologies in buildings and the role of building energy efficiency in successful RE projects are addressed along with tips for implementing successful RE projects.

  7. 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

  8. 2014 Building America House Simulation Protocols

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platform is always evolving, soFuel Cell2 -of Energy4 AMO2014 Building

  9. On Variations of Space-heating Energy Use in Office Buildings

    SciTech Connect (OSTI)

    Lin, Hung-Wen; Hong, Tianzhen

    2013-05-01T23:59:59.000Z

    Space heating is the largest energy end use, consuming more than 7 quintillion joules of site energy annually in the U.S. building sector. A few recent studies showed discrepancies in simulated space-heating energy use among different building energy modeling programs, and the simulated results are suspected to be underpredicting reality. While various uncertainties are associated with building simulations, especially when simulations are performed by different modelers using different simulation programs for buildings with different configurations, it is crucial to identify and evaluate key driving factors to space-heating energy use in order to support the design and operation of low-energy buildings. In this study, 10 design and operation parameters for space-heating systems of two prototypical office buildings in each of three U.S. heating climates are identified and evaluated, using building simulations with EnergyPlus, to determine the most influential parameters and their impacts on variations of space-heating energy use. The influence of annual weather change on space-heating energy is also investigated using 30-year actual weather data. The simulated space-heating energy use is further benchmarked against those from similar actual office buildings in two U.S. commercial-building databases to better understand the discrepancies between simulated and actual energy use. In summary, variations of both the simulated and actual space-heating energy use of office buildings in all three heating climates can be very large. However these variations are mostly driven by a few influential parameters related to building design and operation. The findings provide insights for building designers, owners, operators, and energy policy makers to make better decisions on energy-efficiency technologies to reduce space-heating energy use for both new and existing buildings.

  10. Energy-Saving Homes, Buildings, & Manufacturing (Fact Sheet)...

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

    Energy-Saving Homes, Buildings, & Manufacturing (Fact Sheet), Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy (DOE) Energy-Saving Homes, Buildings, &...

  11. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    Breakdown of Total  Electricty Consumption ? Building A kWh/Breakdown of Total  Electricty Consumption ? Building B kWh/Breakdown of Total   Electricty Consumption ? Building C 

  12. Sandia Energy - Building a Microgrid

    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 Office of Scienceand RequirementsCoatings Initiated at PNNL's Sequim Bay CoatingsBuilding a Microgrid

  13. 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.

  14. Energy Information Agency's 2003 Commercial Building Energy Consumption Survey Tables

    Broader source: Energy.gov [DOE]

    Energy use intensities in commercial buildings vary widely and depend on activity and climate, as shown in this data table, which was derived from the Energy Information Agency's 2003 Commercial Building Energy Consumption Survey.

  15. PSNC Energy (Gas)- Green Building Rate Discount

    Broader source: Energy.gov [DOE]

    This discounted rate is available to commercial customers whose building meets the U.S. Green Building Council’s Leadership in Energy and Environmental Design (LEED) certification or equivalent. To...

  16. Advanced Energy Retrofit Guide Retail Buildings

    SciTech Connect (OSTI)

    Liu, Guopeng; Liu, Bing; Zhang, Jian; Wang, Weimin; Athalye, Rahul A.; Moser, Dave; Crowe, Eliot; Bengtson, Nick; Effinger, Mark; Webster, Lia; Hatten, Mike

    2011-09-19T23:59:59.000Z

    The Advanced Energy Retrofit Guide for Retail Buildings is a component of the Department of Energy’s Advanced Energy Retrofit Guides for Existing Buildings series. The aim of the guides is to facilitate a rapid escalation in the number of energy efficiency projects in existing buildings and to enhance the quality and depth of those projects. By presenting general project planning guidance as well as financial payback metrics for the most common energy efficiency measures, these guides provide a practical roadmap to effectively planning and implementing performance improvements for existing buildings.

  17. Advanced Energy Retrofit Guide Office Buildings

    SciTech Connect (OSTI)

    Liu, Guopeng; Liu, Bing; Wang, Weimin; Zhang, Jian; Athalye, Rahul A.; Moser, Dave; Crowe, Eliot; Bengtson, Nick; Effinger, Mark; Webster, Lia; Hatten, Mike

    2011-09-27T23:59:59.000Z

    The Advanced Energy Retrofit Guide for Office Buildings is a component of the Department of Energy’s Advanced Energy Retrofit Guides for Existing Buildings series. The aim of the guides is to facilitate a rapid escalation in the number of energy efficiency projects in existing buildings and to enhance the quality and depth of those projects. By presenting general project planning guidance as well as financial payback metrics for the most common energy efficiency measures, these guides provide a practical roadmap to effectively planning and implementing performance improvements for existing buildings.

  18. 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.

  19. Energy performance of underfloor air distribution systems

    E-Print Network [OSTI]

    Bauman, Fred; Webster, Tom; Linden, Paul; Buhl, Fred

    2007-01-01T23:59:59.000Z

    whole? building energy simulation program EnergyPlus that whole?building energy simulation program, to allow design validated whole?building energy simulation program of its 

  20. Achieving Energy Efficiency in Exis0ng Buildings How achieve significant commercial building energy efficiency?

    E-Print Network [OSTI]

    Hutyra, Lucy R.

    · Led BU Energy Audit over past 3 years · University Sustainability CommiAchieving Energy Efficiency in Exis0ng Buildings ·How achieve significant commercial building energy efficiency? Focus on HVAC. ·Our solu0on

  1. Better Buildings Summit Residential Sessions Engage Energy Pros...

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

    Better Buildings Summit Residential Sessions Engage Energy Pros Better Buildings Summit Residential Sessions Engage Energy Pros This year's DOE Better Buildings Summit, taking...

  2. Energy Department Launches Better Buildings Alliance Indoor Lighting...

    Energy Savers [EERE]

    Energy Department Launches Better Buildings Alliance Indoor Lighting Campaign for Commercial Buildings Energy Department Launches Better Buildings Alliance Indoor Lighting Campaign...

  3. Building Energy Codes Program Overview - 2014 BTO Peer Review...

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

    of Energy This presentation at the 2014 Peer Review provided an overview of the Building Technologies Office's Building Building Energy Codes Program activities. Through...

  4. Using occupancy to reduce energy consumption of buildings

    E-Print Network [OSTI]

    Balaji, Bharathan

    2011-01-01T23:59:59.000Z

    Driven Energy Management for Smart Building Automation” InDriven Energy Management for Smart Building Au- tomation” Innetwork for all our smart building solutions. For this we

  5. Worldwide Status of Energy Standards for Buildings - Appendices

    E-Print Network [OSTI]

    Janda, K.B.

    2008-01-01T23:59:59.000Z

    for NON-RESIDENTIAL BUILDINGS. This survey has been designedtypes of energy standards for buildings. Please respond asI: GENERAL OVERVIEW OF BUILDING ENERGY STANDARDS Does your

  6. 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

  7. Methodology to Analyze the Sensitivity of Building Energy Consumption to HVAC System Sensor Error 

    E-Print Network [OSTI]

    Ma, Liang

    2012-02-14T23:59:59.000Z

    This thesis proposes a methodology for determining sensitivity of building energy consumption of HVAC systems to sensor error. It is based on a series of simulations of a generic building, the model for which is based on several typical input...

  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. The Energy-Navigator -A Web Based Platform for Quality Management in Buildings 

    E-Print Network [OSTI]

    Plesser, S. Pinkernell, C.; Fisch, N.; Rumpe, B.; Kurpick, T.

    2010-01-01T23:59:59.000Z

    Energy efficient buildings require high quality standards for all their technical equipment to enable their efficient and successful operation and management. Building simulations enable engineers to design integrated HVAC ...

  10. The Energy-Navigator -A Web Based Platform for Quality Management in Buildings

    E-Print Network [OSTI]

    Plesser, S. Pinkernell, C.; Fisch, N.; Rumpe, B.; Kurpick, T.

    2010-01-01T23:59:59.000Z

    Energy efficient buildings require high quality standards for all their technical equipment to enable their efficient and successful operation and management. Building simulations enable engineers to design integrated HVAC systems with complex...

  11. Building Energy Transparency Report | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavidDepartmentRating

  12. 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

  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. Handbook of energy use for building construction

    SciTech Connect (OSTI)

    Stein, R.G.; Stein, C.; Buckley, M.; Green, M.

    1980-03-01T23:59:59.000Z

    The construction industry accounts for over 11.14% of the total energy consumed in the US annually. This represents the equivalent energy value of 1 1/4 billion barrels of oil. Within the construction industry, new building construction accounts for 5.19% of national annual energy consumption. The remaining 5.95% is distributed among new nonbuilding construction (highways, ralroads, dams, bridges, etc.), building maintenance construction, and nonbuilding maintenance construction. The handbook focuses on new building construction; however, some information for the other parts of the construction industry is also included. The handbook provides building designers with information to determine the energy required for buildings construction and evaluates the energy required for alternative materials, assemblies, and methods. The handbook is also applicable to large-scale planning and policy determination in that it provides the means to estimate the energy required to carry out major building programs.

  15. NASA Net Zero Energy Buildings Roadmap

    Office of Environmental Management (EM)

    site energy goal for new buildings * Step 1. Best-in-class energy efficiency (EE), demand-side energy use intensity (EUI) 50% reduction versus AHSRAE Standard 90.1-2010...

  16. Healthy Zero Energy Buildings ENVIRONMENTAL AREA RESEARCH

    E-Print Network [OSTI]

    from buildings. Ventilation, however, comes with a significant energy cost. Currently, heating, with roughly onethird of this energy used to heat and cool ventilation air. As buildings strive to become.energy.ca.gov/research/ environmental March 2011 The Issue Previous studies have associated low ventilation rates with reduced worker

  17. Method to assess the gross annual energy-saving potential of energy conservation technologies used in commercial buildings

    SciTech Connect (OSTI)

    Friedrich, M.; Messinger, M.T. [Pacific Northwest Lab., Richland, WA (United States)

    1995-08-01T23:59:59.000Z

    A newly developed engineering model has made it possible to assess large numbers of US commercial buildings with a relatively small number of computer simulations. The model aggregates energy use over different climates, fuel types, building sizes, and building types. The resulting information indicates the extent to which a building component affects building energy use, enabling researchers to focus on developing technologies in those areas with the highest energy-saving potential. The information also suggests which building components to focus on in those same areas for dement of building energy conservation standards. The method is currently used to analyze the effects of energy-efficiency standards to new commercial buildings constructed in the United States. With some modification, broader applications could include assessments of energy-saving retrofits to the existing building stock and assessments of the energy savings of new technologies used in both new and existing buildings.

  18. 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.

  19. Simulating Natural Ventilation in and Around Buildings by Fast Fluid Mingang Jin1

    E-Print Network [OSTI]

    Chen, Qingyan "Yan"

    1 Simulating Natural Ventilation in and Around Buildings by Fast Fluid Dynamics Mingang Jin1-765-496-7562 Fax: +1-765-494-0539 ABSTRACT Natural ventilation is a sustainable technology that can provide a well-built environment and also save energy. The application of natural ventilation to buildings requires a careful

  20. Energy Efficiency in Buildings- the Utilities View

    E-Print Network [OSTI]

    Konig, U.

    for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 RWE Energy / Energieeffizienz bei Immobilien / U. K?nig / ICEBO '08 SEITE 5 1. RWE/RWE Energy 2. German Energy Market 3. Buildings and Climate Protection 4. What does RWE do? 5. Need.... German Energy Market 3. Buildings and Climate Protection 4. What does RWE do? 5. Need for action va W GGEHEN ESL-IC-08-10-27 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008...

  1. Better Buildings Residential Network | Department of Energy

    Energy Savers [EERE]

    Call summaries See the partnerships case study Read the February issue of the Better Buildings Network View Upcoming Peer Exchange Calls* Residential Energy Efficiency...

  2. Energy Efficiency in Buildings- the Utilities View 

    E-Print Network [OSTI]

    Konig, U.

    2008-01-01T23:59:59.000Z

    for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 RWE Energy / Energieeffizienz bei Immobilien / U. K?nig / ICEBO '08 SEITE 5 1. RWE/RWE Energy 2. German Energy Market 3. Buildings and Climate Protection 4. What does RWE do? 5. Need.... German Energy Market 3. Buildings and Climate Protection 4. What does RWE do? 5. Need for action va W GGEHEN ESL-IC-08-10-27 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008...

  3. Buildings Technologies Deployment | Clean energy | ORNL

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

    are successfully deployed to the fullest extent possible. ORNL helps optimize the energy performance of buildings and industrial processes by moving technologies to full use...

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

    E-Print Network [OSTI]

    Lehrer, David; Vasudev, Janani

    2011-01-01T23:59:59.000Z

    of LEED-Certified Commercial Buildings. ” Proceedings,on Energy Efficiency in Buildings, ACEEE, Washington DC,System User Interface for Building Occupants. ” ASHRAE

  5. Co-Simulation of Detailed Whole Building with the Power System to Study Smart Grid Applications

    SciTech Connect (OSTI)

    Makhmalbaf, Atefe; Fuller, Jason C.; Srivastava, Viraj; Ciraci, Selim; Daily, Jeffrey A.

    2014-12-24T23:59:59.000Z

    Modernization of the power system in a way that ensures a sustainable energy system is arguably one of the most pressing concerns of our time. Buildings are important components in the power system. First, they are the main consumers of electricity and secondly, they do not have constant energy demand. Conventionally, electricity has been difficult to store and should be consumed as it is generated. Therefore, maintaining the demand and supply is critical in the power system. However, to reduce the complexity of power models, buildings (i.e., end-use loads) are traditionally modeled and represented as aggregated “dumb” nodes in the power system. This means we lack effective detailed whole building energy models that can support requirements and emerging technologies of the smart power grid. To gain greater insight into the relationship between building energy demand and power system performance, it is important to constitute a co-simulation framework to support detailed building energy modeling and simulation within the power system to study capabilities promised by the modern power grid. This paper discusses ongoing work at Pacific Northwest National Laboratory and presents underlying tools and framework needed to enable co-simulation of building, building energy systems and their control in the power system to study applications such as demand response, grid-based HVAC control, and deployment of buildings for ancillary services. The optimal goal is to develop an integrated modeling and simulation platform that is flexible, reusable, and scalable. Results of this work will contribute to future building and power system studies, especially those related to the integrated ‘smart grid’. Results are also expected to advance power resiliency and local (micro) scale grid studies where several building and renewable energy systems transact energy directly. This paper also reviews some applications that can be supported and studied using the framework introduced to understand their implications before they can be successfully implemented in the power system.

  6. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    HVAC consumes more electricity in September, the daily trendsHVAC Equipment Figure 44 Building 2 typical weekday electricity consumption trendHVAC Equipment Figure 45 Building 2 typical weekend electricity consumption trend

  7. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Wall, L.W.

    2009-01-01T23:59:59.000Z

    cooling, and lighting using passive systems, and optimal building design strategies to realize that potential. ASSESSMENT OF PROGRESS-

  8. Building Energy Efficiency in Rural China

    SciTech Connect (OSTI)

    Evans, Meredydd; Yu, Sha; Song, Bo; Deng, Qinqin; Liu, Jing; Delgado, Alison

    2014-04-01T23:59:59.000Z

    Rural buildings in China now account for more than half of China’s total building energy use. Forty percent of the floorspace in China is in rural villages and towns. Most of these buildings are very energy inefficient, and may struggle to meet basic needs. They are cold in the winter, and often experience indoor air pollution from fuel use. The Chinese government plans to adopt a voluntary building energy code, or design standard, for rural homes. The goal is to build on China’s success with codes in urban areas to improve efficiency and comfort in rural homes. The Chinese government recognizes rural buildings represent a major opportunity for improving national building energy efficiency. The challenges of rural China are also greater than those of urban areas in many ways because of the limited local capacity and low income levels. The Chinese government wants to expand on new programs to subsidize energy efficiency improvements in rural homes to build capacity for larger-scale improvement. This article summarizes the trends and status of rural building energy use in China. It then provides an overview of the new rural building design standard, and describes options and issues to move forward with implementation.

  9. 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...

  10. Building energy calculator : a design tool for energy analysis of residential buildings in Developing countries

    E-Print Network [OSTI]

    Smith, Jonathan Y. (Jonathan York), 1979-

    2004-01-01T23:59:59.000Z

    Buildings are one of the world's largest consumers of energy, yet measures to reduce energy consumption are often ignored during the building design process. In developing countries, enormous numbers of new residential ...

  11. 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...

  12. Midwest Building Energy Program | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOil &315_ArnibanPriority DataPART 970Midwest Building Energy Program

  13. U.S. Department of Energy Building Energy Data Exchange Specification...

    Office of Environmental Management (EM)

    U.S. Department of Energy Building Energy Data Exchange Specification U.S. Department of Energy Building Energy Data Exchange Specification This document describes the DOE Building...

  14. European Union Energy Performance of Building Directive and the Impact of Building Automation on Energy Efficiency 

    E-Print Network [OSTI]

    Wirth, U.

    2008-01-01T23:59:59.000Z

    Gubelstrasse 22 CH-6301 Zug 00 41 41/ 7 24 55 60 wirth.ulrich@siemens.com European Union Energy Performance of Buildings Directive and The impact of Building Automation on Energy Efficiency Buildings account for 40 percent of global energy... consumption. The European Union's 2002 Energy Performance of Buildings Directive takes this fact into account and formulates savings goals. A resulting European standard, and uniform certification, applicable throughout Europe, form the foundation since...

  15. Energy Impacts of Nonlinear Behavior of PCM When Applied into Building Envelope: Preprint

    SciTech Connect (OSTI)

    Tabares-Velasco, P. C.

    2012-08-01T23:59:59.000Z

    Previous research on phase change materials (PCM) for building applications has been done for several decades resulting in plenty of literature on PCM properties, temperature, and peak reduction potential. Thus, PCMs are a potential technology to reduce peak loads and HVAC energy consumption in buildings. There are few building energy simulation programs that have PCM modeling features, and even fewer have been validated. Additionally, there is no previous research that indicates the level of accuracy when simulating PCM from a building energy simulation perspective. This study analyzes the effects a nonlinear enthalpy profile has on thermal performance and expected energy benefits for PCM-enhanced insulation.

  16. 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

  17. Occupant Control of Windows: Accounting for Human Behavior in Building Simulation

    E-Print Network [OSTI]

    Borgeson, Sam; Brager, Gail

    2008-01-01T23:59:59.000Z

    performance of many low energy buildings. There is a richgrowing interest in low energy building designs are drivingcomfortable and usable low energy buildings. Specifically,

  18. NASA Net Zero Energy Buildings Roadmap

    SciTech Connect (OSTI)

    Pless, S.; Scheib, J.; Torcellini, P.; Hendron, B.; Slovensky, M.

    2014-10-01T23:59:59.000Z

    In preparation for the time-phased net zero energy requirement for new federal buildings starting in 2020, set forth in Executive Order 13514, NASA requested that the National Renewable Energy Laboratory (NREL) to develop a roadmap for NASA's compliance. NASA detailed a Statement of Work that requested information on strategic, organizational, and tactical aspects of net zero energy buildings. In response, this document presents a high-level approach to net zero energy planning, design, construction, and operations, based on NREL's first-hand experience procuring net zero energy construction, and based on NREL and other industry research on net zero energy feasibility. The strategic approach to net zero energy starts with an interpretation of the executive order language relating to net zero energy. Specifically, this roadmap defines a net zero energy acquisition process as one that sets an aggressive energy use intensity goal for the building in project planning, meets the reduced demand goal through energy efficiency strategies and technologies, then adds renewable energy in a prioritized manner, using building-associated, emission- free sources first, to offset the annual energy use required at the building; the net zero energy process extends through the life of the building, requiring a balance of energy use and production in each calendar year.

  19. Flexible Framework for Building Energy Analysis: Preprint

    SciTech Connect (OSTI)

    Hale, E.; Macumber, D.; Weaver, E.; Shekhar, D.

    2012-09-01T23:59:59.000Z

    In the building energy research and advanced practitioner communities, building models are perturbed across large parameter spaces to assess energy and cost performance in the face of programmatic and economic constraints. This paper describes the OpenStudio software framework for performing such analyses.

  20. Nonresidential Building Energy Use Disclosure Program

    E-Print Network [OSTI]

    ® program online tool for managing building energy use data. (hk) "Prospective buyer" means a person who has)"Data Verification Checklist" means a report generated by Portfolio Manager that summarizes a property's physical· ·/ Nonresidential Building Energy Use Disclosure Program California Code of Regulations Title

  1. Energy Information Handbook: Applications for Energy-Efficient Building Operations

    SciTech Connect (OSTI)

    New Buildings Institute; Pacific Northwest National Laboratory; Granderson, Jessica; Piette, Mary Ann; Rosenblum, Ben; Hu, Lily; Harris, Daniel; Mathew, Paul; Price, Phillip; Bell, Geoffrey; Katipamula, Srinivas; Brambley, Michael

    2011-10-01T23:59:59.000Z

    This handbook will give you the information you need to plan an energy-management strategy that works for your building, making it more energy efficient.

  2. Commercial Building Energy Efficiency Education Project

    SciTech Connect (OSTI)

    None

    2013-01-13T23:59:59.000Z

    The primary objective of this grant is to educate the public about carbon emissions and the energy-saving and job-related benefits of commercial building energy efficiency. investments in Illinois.

  3. Energy Efficiency Standards for State Buildings

    Broader source: Energy.gov [DOE]

    In April 2009, the legislature passed [http://data.opi.mt.gov/bills/2009/billhtml/SB0049.htm S.B. 49], creating energy efficiency standards for state-owned and state-leased buildings. Energy...

  4. Reference Buildings by Building Type: Medium office | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office Reference Buildings by

  5. Reference Buildings by Building Type: Medium office | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office Reference Buildings

  6. Thermal Energy Storage for Cooling of Commercial Buildings

    E-Print Network [OSTI]

    Akbari, H.

    2010-01-01T23:59:59.000Z

    Building Thermal Energy _Storage in ASEAN Countries,"Company, "Thermal Energy Storage for Cooling," SeminarTHERMAL FOR COOLING ENERGY STORAGE BUILDINGS OF COMMERCIAL

  7. Commercial Building Energy Asset Score Frequently Asked Questions...

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

    Frequently Asked Questions Commercial Building Energy Asset Score Frequently Asked Questions The U.S. Department of Energy's (DOE) Commercial Building Energy Asset Score program...

  8. EERE FY 2016 Budget Overview -- Energy-Saving Homes, Buildings...

    Energy Savers [EERE]

    EERE FY 2016 Budget Overview -- Energy-Saving Homes, Buildings, and Manufacturing EERE FY 2016 Budget Overview -- Energy-Saving Homes, Buildings, and Manufacturing Office of Energy...

  9. High Performance Healthcare Buildings: A Roadmap to Improved Energy Efficiency

    E-Print Network [OSTI]

    Singer, Brett C.

    2010-01-01T23:59:59.000Z

    the case to building owners for energy efficiency. Developoperation with energy efficiency in building systems. X X XBuildings: A Roadmap to Improved Energy Efficiency 11-Sept-

  10. reEnergize: Building Energy Smart Communities | Department of...

    Energy Savers [EERE]

    reEnergize: Building Energy Smart Communities reEnergize: Building Energy Smart Communities Slides presented in the "What's Working in Residential Energy Efficiency Upgrade...

  11. DOE ZERH Webinar: Building Energy Optimization Tool (BEopt) Training...

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

    DOE ZERH Webinar: Building Energy Optimization Tool (BEopt) Training DOE ZERH Webinar: Building Energy Optimization Tool (BEopt) Training The National Renewable Energy Laboratory...

  12. Better Buildings Network View | March 2015 | Department of Energy

    Energy Savers [EERE]

    Better Buildings Network View | March 2015 Better Buildings Network View | March 2015 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's...

  13. Energy Efficiency Trends in Residential and Commercial Buildings...

    Office of Environmental Management (EM)

    Efficiency Trends in Residential and Commercial Buildings - August 2010 Energy Efficiency Trends in Residential and Commercial Buildings - August 2010 Overview of building trends...

  14. Better Buildings Network View | June 2014 | Department of Energy

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

    June 2014 Better Buildings Network View | June 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential Network....

  15. Better Buildings Network View | March 2014 | Department of Energy

    Energy Savers [EERE]

    March 2014 Better Buildings Network View | March 2014 The Better Buildings Network View monthly newsletter from the U.S. Department of Energy's Better Buildings Residential...

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

    E-Print Network [OSTI]

    Lehrer, David; Vasudev, Janani

    2011-01-01T23:59:59.000Z

    Benchmarking for Net-Zero Energy Buildings. ” 12 Included ina small commercial zero-energy building (ZEB). This team hasnet-zero energy for all new commercial buildings by 2030.

  17. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    Figure 9 ? Annual electricity consumption comparison of the total annual electricity consumption, Buildings A and B mostly  measure  electricity  consumption,  cooling  loads, 

  18. Building Energy Monitoring and Analysis

    E-Print Network [OSTI]

    Hong, Tianzhen

    2014-01-01T23:59:59.000Z

    main building with large glass curtain walls and an annex.  monochromatic vacuum glass curtain wall heating systembuilding with large glass curtain walls and an annex. Total

  19. Predicted versus monitored performance of energy-efficiency measures in new commercial buildings from energy edge

    SciTech Connect (OSTI)

    Piette, M.A.; Nordman, B.; deBuen, O.; Diamond, R.

    1993-08-01T23:59:59.000Z

    Energy Edge is a research-oriented demonstration program involving 28 new commercial buildings in the Pacific Northwest. This paper discusses the energy savings and cost-effectiveness of energy-efficiency measures for the first 12 buildings evaluated using simulation models calibrated with measured end-use data. Average energy savings per building from the simulated code baseline building was 19%, less than the 30% target. The most important factor for the lower savings is that many of the installed measures differ from the measures specified in the design predictions. Only one of the first 12 buildings met the project objective of reducing energy use by more than 30% at a cost below the target of 56 mills/kWh (in 1991 dollars). Based on results from the first 12 calibrated simulation models, 29 of the 66 energy-efficiency measures, or 44%, met the levelized cost criterion. Despite the lower energy savings from individual measures, the energy-use intensities of the buildings are lower than other regional comparison data for new buildings. The authors review factors that contribute to the uncertainty regarding measured savings and suggest methods to improve future evaluations.

  20. Specification of an Information Delivery Tool to Support Optimal Holistic Environmental and Energy Management in Buildings

    E-Print Network [OSTI]

    O'Donnell, James

    2008-01-01T23:59:59.000Z

    Laboratory Buildings. ” Energy and Buildings 34 Geoghegan,consumption data. ” Energy and Buildings 24, Hampton, Dave.building operations. ” Energy and Buildings 33, (8):783–791.

  1. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

    2012-01-01T23:59:59.000Z

    requirements in building codes, energy efficiency policiesto improve the building’s energy efficiency. Lease contractsimprove the building’s energy efficiency. We focus first on

  2. Business Case for Energy Efficient Building Retrofit and Renovation...

    Energy Savers [EERE]

    More Documents & Publications Energy Efficiency Trends in Residential and Commercial Buildings - August 2010 Marketing and Market Transformation Building America...

  3. Better Buildings Quarterly Program Report | Department of Energy

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

    -- SEP Data Dashboard Austin Energy Data Dashboard Better Buildings Neighborhood Program Home Accomplishments History Better Buildings Partners Stories Interviews Videos...

  4. Energy conservation in commercial and residential buildings

    SciTech Connect (OSTI)

    Chiogioji, M.H.; Oura, E.N.

    1982-01-01T23:59:59.000Z

    Energy experts have indicated that we can, by exploiting currently available technology, cut energy consumption by 30 to 50% in new buildings and 10 to 30% in existing buildings, with no significant loss in standard of living, comfort, or convenience. This book surveys the many architectural/engineering techniques for combating energy waste in residential and commercial buildings. The experts in these 10 chapters acquaint us with what is being done and with what can be done in the design, construction, and maintenance of buildings in order to foster energy efficiency; they emphasize life-cycle costing as the only sound approach toward energy conservation. A separate abstract was prepared for each chapter; all abstracts will appear in Energy Abstracts for Policy Analysis (EAPA), with 5 appearing in Energy Research Abstracts (ERA).

  5. Buildings Success Stories | 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 off Energy.gov. Are you0 ARRAM-04-07 AuditOptimizingEnergy BuildingBuilding a 21stBuildings

  6. Thermal Solar Energy Systems for Space Heating of Buildings 

    E-Print Network [OSTI]

    Gomri, R.; Boulkamh, M.

    2010-01-01T23:59:59.000Z

    In this study, the simulation and the analysis of a solar flat plate collectors combined with a compression heat pump is carried out. The system suggested must ensure the heating of a building without the recourse to an auxiliary energy source...

  7. Energy Conservation Policy Issues and End-Use Scenarios of Savings Potential--Part 5. Energy Efficient Buildings: The Cause of Litigation Against Energy Conservation Building Codes

    E-Print Network [OSTI]

    Benenson, P.

    2011-01-01T23:59:59.000Z

    LITIGATION AGAINST ENERGY CONSERVATION BUILDING CODES I TWO-OF LITIGATION AGAINST ENERGY CONSERVATION BUILDING CODESDIFFERENT PURPOSES OF ENERGY CONSERVATION BUILDING CODES B.

  8. On the Use of Integrated Daylighting and Energy Simulations To Drive the Design of a Large Net-Zero Energy Office Building: Preprint

    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:Energy: Grid Integration Redefining What's Possible for RenewableSpeeding accessSpeedingOctoberResearch &CEATOmar The U.S.On

  9. ENERGY EFFICIENT BUILDINGS PROGRAM. CHAPTER FROM ENERGY AND ENVIRONMENT DIVISION ANNUAL REPORT 1978

    E-Print Network [OSTI]

    Sonderegger, R. C.

    2011-01-01T23:59:59.000Z

    Quality Measurements in Energy- Efficient Buildings; April,air are built into energy-efficient buildings, 2 Burnersuse to design new energy efficient buildings and to analyze

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    China demonstration energy- efficient commercial building”,China Demonstration Energy Efficient Office Building insideUS-China demonstration energy-efficient office building Peng

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

    analysis of building energy efficiency in China. Tsinghuaand energy efficiency potential in public buildings inraise the energy-efficiency awareness of building owners and

  12. 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

  13. Reference Buildings by Building Type: Primary school | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium

  14. Reference Buildings by Building Type: Small office | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding

  15. Reference Buildings by Building Type: Small office | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding

  16. Reference Buildings by Building Type: Small office | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding

  17. Buildings Events | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding Removal Ongoing at DOE's PaducahBuildings Events Buildings

  18. Snowmass Energy Frontier Simulations

    E-Print Network [OSTI]

    Jacob Anderson; Aram Avetisyan; Raymond Brock; Sergei Chekanov; Timothy Cohen; Nitish Dhingra; James Dolen; James Hirschauer; Kiel Howe; Ashutosh Kotwal; Tom LeCompte; Sudhir Malik; Patricia Mcbride; Kalanand Mishra; Meenakshi Narain; Jim Olsen; Sanjay Padhi; Michael E. Peskin; John Stupak III; Jay G. Wacker

    2013-09-01T23:59:59.000Z

    This document describes the simulation framework used in the Snowmass Energy Frontier studies for future Hadron Colliders. An overview of event generation with {\\sc Madgraph}5 along with parton shower and hadronization with {\\sc Pythia}6 is followed by a detailed description of pile-up and detector simulation with {\\sc Delphes}3. Details of event generation are included in a companion paper cited within this paper. The input parametrization is chosen to reflect the best object performance expected from the future ATLAS and CMS experiments; this is referred to as the "Combined Snowmass Detector". We perform simulations of $pp$ interactions at center-of-mass energies $\\sqrt{s}=$ 14, 33, and 100 TeV with 0, 50, and 140 additional $pp$ pile-up interactions. The object performance with multi-TeV $pp$ collisions are studied for the first time using large pile-up interactions.

  19. Building Load Simulation and Validation of an Office Building

    E-Print Network [OSTI]

    Alghimlas, F.

    2002-01-01T23:59:59.000Z

    ) and daily occupancy seven and a half hours between 0730 and 1500 from Saturday to Wednesday. The simulation period was set to be from January 1 until December 31. A typical meteorological year (TMY) was used for the coastal areas of Kuwait. The results...

  20. Buildings Events | Department of Energy

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

    January 2015 < prev next > Sun Mon Tue Wed Thu Fri Sat 28 29 30 31 1 2 3 4 5 6 7 8 9 10 Water World: Success Stories and Tools for Water Use Reduction in Your Building Portfolio...

  1. State Buildings Energy Reduction Plan

    Broader source: Energy.gov [DOE]

    The Governor of Virginia signed Executive Order 82, "Greening of State Government" in June 2009 as part of the greater RENEW VIRGINIA Initiative. This Order builds upon [http://www.lva.virginia.gov...

  2. BUI.LDING ENERGY 1987 Edition

    E-Print Network [OSTI]

    for Offices, Retail and Wholesale Stores Section Title PaaeDesign Requirements ...·.·.......·... 55Energy Building Energy Efficiency Standards Energy Conservation Standards for New Offices, Retail and Wholesale ...·...··...... - Retail and Wholesale Stores . Ventilation Requirements .... 81 85 106 122 138 154 Energy Conservation

  3. 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.

  4. Low Energy Quantum System Simulation

    E-Print Network [OSTI]

    Peter Cho; Karl Berggren

    2003-10-26T23:59:59.000Z

    A numerical method for solving Schrodinger's equation based upon a Baker-Campbell-Hausdorff (BCH) expansion of the time evolution operator is presented herein. The technique manifestly preserves wavefunction norm, and it can be applied to problems in any number of spatial dimensions. We also identify a particular dimensionless ratio of potential to kinetic energies as a key coupling constant. This coupling establishes characteristic length and time scales for a large class of low energy quantum states, and it guides the choice of step sizes in numerical work. Using the BCH method in conjunction with an imaginary time rotation, we compute low energy eigenstates for several quantum systems coupled to non-trivial background potentials. The approach is subsequently applied to the study of 1D propagating wave packets and 2D bound state time development. Failures of classical expectations uncovered by simulations of these simple systems help develop quantum intuition. Finally, we investigate the response of a Superconducting Quantum Interference Device (SQUID) to a time dependent potential. We discuss how to engineer the potential's energy and time scales so that the SQUID acts as a quantum NOT gate. The notional simulation we present for this gate provides useful insight into the design of one candidate building block for a quantum computer.

  5. Economic Energy Savings Potential in Federal Buildings

    SciTech Connect (OSTI)

    Brown, Daryl R.; Dirks, James A.; Hunt, Diane M.

    2000-09-04T23:59:59.000Z

    The primary objective of this study was to estimate the current life-cycle cost-effective (i.e., economic) energy savings potential in Federal buildings and the corresponding capital investment required to achieve these savings, with Federal financing. Estimates were developed for major categories of energy efficiency measures such as building envelope, heating system, cooling system, and lighting. The analysis was based on conditions (building stock and characteristics, retrofit technologies, interest rates, energy prices, etc.) existing in the late 1990s. The potential impact of changes to any of these factors in the future was not considered.

  6. Worldwide Status of Energy Standards for Buildings - Appendices

    E-Print Network [OSTI]

    Janda, K.B.

    2008-01-01T23:59:59.000Z

    of pakistan" Energy and Buildings 15-16 (199019] )'533 535in the IT S S R" Energy and Buildings (1990) 14· 401-409 "the IT 5 5 R " Energy and Buildings (1992) 3. Yu Matrosov "

  7. Retrofitting Existing Buildings for Demand Response & Energy Efficiency

    E-Print Network [OSTI]

    California at Los Angeles, University of

    Retrofitting Existing Buildings for Demand Response & Energy Efficiency www rate periods to avoid high charges. · Assembly Bill 1103 ­ Building Energy Efficiency Disclosure - Starting January 1, 2010, all commercial building lease transactions must disclose the energy efficiency

  8. Online map of buildings using radiant technologies

    E-Print Network [OSTI]

    Karmann, Caroline; Schiavon, Stefano; Bauman, Fred

    2014-01-01T23:59:59.000Z

    of radiant slab cooling using building simulation and fieldmeasurements. Energy and Buildings, 41, 3, 320-330.2013) Net-Zero Energy Buildings - Worldwide. Available at:

  9. 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://

  10. Effects of internal gain assumptions in building energy calculations

    SciTech Connect (OSTI)

    Christensen, C.; Perkins, R.

    1981-01-01T23:59:59.000Z

    The utilization of direct solar gains in buildings can be affected by operating profiles, such as schedules for internal gains, thermostat controls, and ventilation rates. Building energy analysis methods use various assumptions about these profiles. The effects of typical internal gain assumptions in energy calculations are described. Heating and cooling loads from simulations using the DOE 2.1 computer code are compared for various internal-gain inputs: typical hourly profiles, constant average profiles, and zero gain profiles. Prototype single-family-detached and multi-family-attached residential units are studied with various levels of insulation and infiltration. Small detached commercial buildings and attached zones in large commercial buildings are studied with various levels of internal gains. The results of this study indicate that calculations of annual heating and cooling loads are sensitive to internal gains, but in most cases are relatively insensitive to hourly variations in internal gains.

  11. Design for Energy Efficiency in Residential Buildings

    E-Print Network [OSTI]

    Song, M.; Zhang, Y.; Yang, G.

    2006-01-01T23:59:59.000Z

    -saving efficiency was 50%. Tab. 1 Difference of over all heat transfer coefficient limitation of building Exterior wall Exterior window Roof 65% energy-saving residence buildings in Beijing (>5 stories) 0.6 2.8 0.6 South of Sweden 0.17 2.5 0...

  12. Buildings Energy Program annual report, FY 1991

    SciTech Connect (OSTI)

    Secrest, T.J.

    1992-05-01T23:59:59.000Z

    The Buildings Energy Program at PNL conducts research and development (R&D) for DOE`s Office of Building Technologies (OBT). The OBT`s mission is to lead a national program supporting private and federal sector efforts to improve the energy efficiency of the nation`s buildings and to increase the use of renewable energy sources. Under an arrangement with DOE, Battelle staff also conduct research and development projects for other federal agencies and private clients. This annual report contains an account of the buildings-related research projects conducted at PNL during fiscal year (FY) 1991. A major focus of PNL`s energy projects is to improve the energy efficiency of commercial and residential buildings. Researchers who are developing solutions to energy-use problems view a building as an energy-using system. From this perspective, a desirable solution is not only one that is cost-effective and responsive to the needs of the occupants, but also one that optimizes the interaction among the energy components and systems that compose the whole.

  13. Energy Savings in Industrial Buildings

    E-Print Network [OSTI]

    Zhou, A.; Tutterow, V.; Harris, J.

    2001 5. Environmental Protection Agency (EPA), ENERGY STAR program, 2007. ?Useful Facts and Figures.? http://www.energystar.gov/index.cfm?c=energy_awareness.bus_energy_use 6. Navigant Consulting Inc. (2003), Energy Savings Estimate of Light Emitting... Diodes in Niche Lighting Applications, Prepared for Office of Energy Efficiency and Renewable Energy, U.S. Department of Energy. 7. National Renewable Energy Laboratory (NREL) (2006), Energy Sector Market Analysis, NREL/TP 620-40541 8. Sentech, Inc...

  14. House Simulation Protocols (Building America Benchmark) - Building America

    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 offOCHCO2: FinalOffers3.pdf0-45.pdf0 BudgetGoalsHealth and(JuneEnergy ENERGYTop Innovation |

  15. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    E-Print Network [OSTI]

    Wall, L.W.

    2009-01-01T23:59:59.000Z

    Engineers, 5th Energy Audit Symposium and Productivitycontributions. Numerous energy audits have taken placeabout the accuracy of energy audit procedures used to

  16. Proposed new energy standard for commercial buildings

    SciTech Connect (OSTI)

    Reilly, R.W.

    1983-09-01T23:59:59.000Z

    A project was established to develop a new energy standard for commercial buildings, using the widely accepted ASHRAE/IES Standard 90A-1980, Energy Conservation in New Building Design, as a starting point and general pattern. Under this project, 90A-1980 was analyzed to determine its effectiveness and to define shortcomings; research was conducted to develop a technical/economic basis for setting improved cost-effective requirements for energy conservation; recommendations were developed for an improved standard; and the recommendations were tested across a suite of 10 building types in 8 climates. Preliminary results from these tests indicate that design compliance with the recommendations provides 15 to 30% annual energy savings in office buildings and smaller but significant savings in other building categories (as compared to buildings designed in compliance with 90A-1980). The recommendations also provide for expanded design freedom in demonstrating compliance, especially compliance with envelope requirements. The recommendations and technical support information were presented to ASHRAE to assist in its periodic upgrading of Standard 90, and to the US Department of Energy as major input to its Congressionally-mandated process of developing minimum design standards for federal buildings and voluntary guidelines for the private sector.

  17. International Energy Agency Implementing Agreements and Annexes: A Guide for Building Technologies Program Managers

    E-Print Network [OSTI]

    Evans, Meredydd

    2008-01-01T23:59:59.000Z

    for the commercial zero-energy building (ZEB), -Improvedand operation of net-zero energy buildings Develop “Methodssoftware (for zero energy buildings) BESTEST Building Energy

  18. Reference Buildings by Building Type: Primary school | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium officeEnergyof

  19. Reference Buildings by Building Type: Small Hotel | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type:Energy

  20. Reference Buildings by Building Type: Small Hotel | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type:Energypost1980_v1.3_5.0.zip

  1. Reference Buildings by Building Type: Strip mall | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuildingEnergynew2004_v1.3_5.0.zip

  2. Sault Tribe Building Efficiency Energy Audits

    SciTech Connect (OSTI)

    Holt, Jeffrey W.

    2013-09-26T23:59:59.000Z

    The Sault Ste. Marie Tribe of Chippewa Indians is working to reduce energy consumption and expense in Tribally-owned governmental buildings. The Sault Ste. Marie Tribe of Chippewa Indians will conduct energy audits of nine Tribally-owned governmental buildings in three counties in the Upper Peninsula of Michigan to provide a basis for evaluating and selecting the technical and economic viability of energy efficiency improvement options. The Sault Ste. Marie Tribe of Chippewa Indians will follow established Tribal procurement policies and procedures to secure the services of a qualified provider to conduct energy audits of nine designated buildings. The contracted provider will be required to provide a progress schedule to the Tribe prior to commencing the project and submit an updated schedule with their monthly billings. Findings and analysis reports will be required for buildings as completed, and a complete Energy Audit Summary Report will be required to be submitted with the provider?s final billing. Conducting energy audits of the nine governmental buildings will disclose building inefficiencies to prioritize and address, resulting in reduced energy consumption and expense. These savings will allow Tribal resources to be reallocated to direct services, which will benefit Tribal members and families.

  3. Assessment of natural ventilation potentials on free-form architecture design using CFD simulations: a Learning Hub building in Singapore

    E-Print Network [OSTI]

    Szu Cheng, CHIEN

    2013-01-01T23:59:59.000Z

    DESIGN USING CF D SIMULATIONS: A LEARNING HUB BUILDING INLearning Hub computational model. In order to build up the simulation

  4. Gauging Improvements in Urban Building Energy Policy in India

    E-Print Network [OSTI]

    Williams, Christopher

    2013-01-01T23:59:59.000Z

    Urban Building Energy Policy in India Christopher WilliamsUrban Building Energy Policy in India Christopher Williamsefficiency policies and programs in India are in an active

  5. Building Energy Codes Implementation Overview - 2014 BTO Peer...

    Energy Savers [EERE]

    Building Energy Codes Implementation Overview - 2014 BTO Peer Review Building Energy Codes Implementation Overview - 2014 BTO Peer Review Presenter: Jeremiah Williams, U.S....

  6. Building Energy Codes Program Overview - 2014 BTO Peer Review...

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

    of Energy This presentation at the 2014 Peer Review provided an overview of the Building Technologies Office's Building Energy Codes Program. Through robust feedback, the BTO...

  7. Commercial Building Energy Asset Score: 2013 Pilot Overview ...

    Office of Environmental Management (EM)

    Score: 2013 Pilot Overview Commercial Building Energy Asset Score: 2013 Pilot Overview provides an overview of the 2013 pilot for the commercial building energy asset score...

  8. Commercial Building Energy Asset Scoring Tool Application Programming...

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

    Commercial Building Energy Asset Scoring Tool Application Programming Interface Commercial Building Energy Asset Scoring Tool Application Programming Interface slides from June 14,...

  9. An Extensible Sensing and Control Platform for Building Energy...

    Office of Environmental Management (EM)

    An Extensible Sensing and Control Platform for Building Energy Management An Extensible Sensing and Control Platform for Building Energy Management Lead Performer: Carnegie Mellon...

  10. DOE Commercial Building Energy Asset Rating Program Focus Groups...

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

    Commercial Building Energy Asset Rating Program Focus Groups with Primary Stakeholders in Seattle -- Final Report DOE Commercial Building Energy Asset Rating Program Focus Groups...

  11. Sustainable Energy Resources for Consumers Webinar on Building...

    Energy Savers [EERE]

    Sustainable Energy Resources for Consumers Webinar on Building Design & Passive Solar Transcript Sustainable Energy Resources for Consumers Webinar on Building Design & Passive...

  12. Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    The tables contain information about energy consumption and expenditures in U.S. commercial buildings and information about energy-related characteristics of these buildings.

  13. BuildingSync File Download | Department of Energy

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

    Download BuildingSync represents a standard schema for organizing and expressing energy audit data, developed using the standard energy data terminology defined in the Building...

  14. Energy Performance Certification of Buildings: A Policy Tool...

    Open Energy Info (EERE)

    Buildings: A Policy Tool to Improve Energy Efficiency Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Energy Performance Certification of Buildings: A Policy Tool to...

  15. DOE Zero Energy Ready Home Case Study: Weiss Building & Development...

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

    DOE Zero Energy Ready Home Case Study: Weiss Building & Development LLC., Custom Home, Downers Grove, IL DOE Zero Energy Ready Home Case Study: Weiss Building & Development LLC.,...

  16. 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...

  17. Clean Energy Finance Guide for Residential and Commercial Building...

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

    Clean Energy Finance Guide for Residential and Commercial Building Improvements - Chapter 8 Clean Energy Finance Guide for Residential and Commercial Building Improvements -...

  18. Clean Energy Finance Guide for Residential and Commercial Building...

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

    Clean Energy Finance Guide for Residential and Commercial Building Improvements - Chapter 7 Clean Energy Finance Guide for Residential and Commercial Building Improvements -...

  19. Obama Administration Launches $130 Million Building Energy Efficiency...

    Energy Savers [EERE]

    Administration Launches 130 Million Building Energy Efficiency Effort Obama Administration Launches 130 Million Building Energy Efficiency Effort February 12, 2010 - 12:00am...

  20. Behavioral Opportunities for Energy Savings in Office Buildings...

    Office of Environmental Management (EM)

    Opportunities for Energy Savings in Office Buildings: a London Field Experiment Behavioral Opportunities for Energy Savings in Office Buildings: a London Field Experiment Report...

  1. agency building energy: Topics by E-print Network

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

    Energy Storage, Conversion and Utilization Websites Summary: TO THE CALIFORNIA BUILDING ENERGY EFFICIENCY STANDARDS and GREEN BUILDING STANDARDS CODE CALIFORNIA CODE and...

  2. Simulation Technology Laboratory Building 970 hazards assessment document

    SciTech Connect (OSTI)

    Wood, C.L.; Starr, M.D.

    1994-11-01T23:59:59.000Z

    The Department of Energy Order 5500.3A requires facility-specific hazards assessments be prepared, maintained, and used for emergency planning purposes. This hazards assessment document describes the chemical and radiological hazards associated with the Simulation Technology Laboratory, Building 970. The entire inventory was screened according to the potential airborne impact to onsite and offsite individuals. The air dispersion model, ALOHA, estimated pollutant concentrations downwind from the source of a release, taking into consideration the toxicological and physical characteristics of the release site, the atmospheric conditions, and the circumstances of the release. The greatest distances at which a postulated facility event will produce consequences exceeding the ERPG-2 and Early Severe Health Effects thresholds are 78 and 46 meters, respectively. The highest emergency classification is a Site Area Emergency. The Emergency Planning Zone is 100 meters.

  3. Building on Efficiency | Department of Energy

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

    easy-to-use tools to size and finance rooftop solar panels; and download virtual energy audit software that can cut costs for building owners and help get retrofits started...

  4. Conservation and renewable energy technologies for buildings

    SciTech Connect (OSTI)

    Not Available

    1991-05-01T23:59:59.000Z

    The Office of building Technologies (OBT) pursues advanced energy efficiency and renewable technologies and accelerates the rate of adoption of these technologies in the residential and commercial sectors through research, development, and demonstration.

  5. Home Energy Ratings and Building Performance 

    E-Print Network [OSTI]

    Gardner, J.C.

    2008-01-01T23:59:59.000Z

    an accepted method to determine home efficiency based on standards developed and overseen by the Residential Energy Services Network (RESNET), a not-for-profit corporation. The paper will discuss the effect of various building systems and effects of local...

  6. Buildings Events | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding Removal Ongoing at DOE's PaducahBuildings Events

  7. Simulator Building and Parameter Optimization of an Autonomous Robotic Fish

    E-Print Network [OSTI]

    Hu, Huosheng

    Simulator Building and Parameter Optimization of an Autonomous Robotic Fish Jindong Liu, Huosheng@essex.ac.uk Abstract-- This paper presents a short review on the research of robotic fish. A simulation environment for robotic fish is built and the experiment shows that it is a convenient way to make research on the robotic

  8. The State Energy Program: Building Energy Efficiency and Renewable...

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

    * Understanding of building control equipment, systems, software and operations. * Renewable energy technology and equipment fundamentals and an understanding of how they...

  9. Building Energy Asset Score: Energy Services Companies, Engineers...

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

    enables comparison among buildings, and identifies opportunities for users to invest in energy efficiency upgrades. It is web-based and free to use. View additional information...

  10. 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.

  11. 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.

  12. Discovering unexpected information using a building energy visualization tool.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    platform to manage buildings energy. Smart buildings are already managed by BMS (Building Management SystemDiscovering unexpected information using a building energy visualization tool. Lange B.a, Rodriguez insight about buildings energy consumption. We will focus on the usage of this software to extract

  13. Country Report on Building Energy Codes in China

    SciTech Connect (OSTI)

    Shui, Bin; Evans, Meredydd; Lin, H.; Jiang, Wei; Liu, Bing; Song, Bo; Somasundaram, Sriram

    2009-04-15T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America (U.S.). This reports gives an overview of the development of building energy codes in China, including national energy policies related to building energy codes, history of building energy codes, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope and HVAC) for commercial and residential buildings in China.

  14. Country Report on Building Energy Codes in India

    SciTech Connect (OSTI)

    Evans, Meredydd; Shui, Bin; Somasundaram, Sriram

    2009-04-07T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America. This reports gives an overview of the development of building energy codes in India, including national energy policies related to building energy codes, history of building energy codes in India, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope, HVAC, lighting, and water heating) for commercial buildings in India.

  15. Country Report on Building Energy Codes in Canada

    SciTech Connect (OSTI)

    Shui, Bin; Evans, Meredydd

    2009-04-06T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America . This reports gives an overview of the development of building energy codes in Canada, including national energy policies related to building energy codes, history of building energy codes, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope, HVAC, lighting, and water heating) for commercial and residential buildings in Canada.

  16. Country Report on Building Energy Codes in Australia

    SciTech Connect (OSTI)

    Shui, Bin; Evans, Meredydd; Somasundaram, Sriram

    2009-04-02T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America (U.S.). This reports gives an overview of the development of building energy codes in Australia, including national energy policies related to building energy codes, history of building energy codes, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope, HVAC, and lighting) for commercial and residential buildings in Australia.

  17. Country Report on Building Energy Codes in Japan

    SciTech Connect (OSTI)

    Evans, Meredydd; Shui, Bin; Takagi, T.

    2009-04-15T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America (U.S.). This reports gives an overview of the development of building energy codes in Japan, including national energy policies related to building energy codes, history of building energy codes, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope, HVAC, and lighting) for commercial and residential buildings in Japan.

  18. Country Report on Building Energy Codes in Korea

    SciTech Connect (OSTI)

    Evans, Meredydd; McJeon, Haewon C.; Shui, Bin; Lee, Seung Eon

    2009-04-17T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America (U.S.). This reports gives an overview of the development of building energy codes in Korea, including national energy policies related to building energy codes, history of building energy codes, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope, HVAC, and lighting) for commercial buildings in Korea.

  19. Country Report on Building Energy Codes in the United States

    SciTech Connect (OSTI)

    Halverson, Mark A.; Shui, Bin; Evans, Meredydd

    2009-04-30T23:59:59.000Z

    This report is part of a series of reports on building energy efficiency codes in countries associated with the Asian Pacific Partnership (APP) - Australia, South Korea, Japan, China, India, and the United States of America (U.S.). This reports gives an overview of the development of building energy codes in U.S., including national energy policies related to building energy codes, history of building energy codes, recent national projects and activities to promote building energy codes. The report also provides a review of current building energy codes (such as building envelope, HVAC, lighting, and water heating) for commercial and residential buildings in the U.S.

  20. Sustainable Energy Future in China's Building Sector 

    E-Print Network [OSTI]

    Li, J.

    2007-01-01T23:59:59.000Z

    policies; this will generate significantly benefits given the fast- growing urbanization process and the number of buildings that will be constructed in the next 20 years in Chinese cities. ENERGY USE HISTORY AND OUTLOOK IN CHINA China...://www.energy.gov/ EIA. International Energy Outlook.2006. DOE, Washington. 2006. ERI. 2003. China’s Sustainable Energy Future. European Commission Directorate General for Energy and Transport. 2001. Information and Communication. Fisher-Vanden et al...

  1. Analytic target cascading in simulation-based building design R. Choudharya,*, A. Malkawib

    E-Print Network [OSTI]

    Papalambros, Panos

    Analytic target cascading in simulation-based building design R. Choudharya,*, A. Malkawib , P-criteria building performance problems are also discussed. Published by Elsevier B.V. Keywords: Simulation Building simulation's central concern is design performance. The field of building simulation is dedicated

  2. Analysis of Potential Benefits and Costs of Adopting a Commercial Building Energy Standard in South Dakota

    SciTech Connect (OSTI)

    Belzer, David B.; Cort, Katherine A.; Winiarski, David W.; Richman, Eric E.

    2005-03-04T23:59:59.000Z

    The state of South Dakota is considering adopting a commercial building energy standard. This report evaluates the potential costs and benefits to South Dakota residents from requiring compliance with the most recent edition of the ANSI/ASHRAE/IESNA 90.1-2001 Energy Standard for Buildings except Low-Rise Residential Buildings. These standards were developed in an effort to set minimum requirements for the energy efficient design and construction of new commercial buildings. The quantitative benefits and costs of adopting a commercial building energy code are modeled by comparing the characteristics of assumed current building practices with the most recent edition of the ASHRAE Standard, 90.1-2001. Both qualitative and quantitative benefits and costs are assessed in this analysis. Energy and economic impacts are estimated using results from a detailed building simulation tool (Building Loads Analysis and System Thermodynamics [BLAST] model) combined with a Life-Cycle Cost (LCC) approach to assess corresponding economic costs and benefits.

  3. Building America Webinar: Saving Energy in Multifamily Buildings |

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuilding Enclosures | DepartmentStrategies

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartmentDavidDepartment

  5. Reference Buildings by Building Type: Medium office | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Medium office Reference

  6. Reference Buildings by Building Type: Primary school | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of ContaminationHubs+18, 2012EnergyBuilding Type: Mediumpre1980_v1.3_5.0.zip

  7. Buildings Events | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014 Building America Update -Composites | Department

  8. Understanding Building Energy Codes and Standards

    SciTech Connect (OSTI)

    Bartlett, Rosemarie; Halverson, Mark A.; Shankle, Diana L.

    2003-03-01T23:59:59.000Z

    Energy codes and standards play a vital role by setting minimum requirements for energy-efficient design and construction. They outline uniform requirements for new buildings as well as additions and renovations. The Difference Between Energy Codes, Energy Standards and the Model Energy Code Energy codes--specify how buildings must be constructed or perform, and are written in mandatory, enforceable language. States or local governments adopt and enforce energy codes for their jurisdictions. Energy standards--describe how buildings should be constructed to save energy cost-effectively. They are published by national organizations such as the American Society of Heating, Refrigerating, and Air-Conditioning Engineers (ASHRAE). They are not mandatory, but serve as national recommendations, with some variation for regional climate. States and local governments frequently use energy standards as the technical basis for developing their energy codes. Some energy standards are written in mandatory, enforceable language, making it easy for jurisdictions to incorporate the provisions of the energy standards directly into their laws or regulations.

  9. 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

  10. Building Energy Codes Program | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsNovember 13, 2014 Building America Update - November 13, 2014InnovationsBuilding

  11. NREL: Technology Deployment - Building Energy Systems

    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:Energy: Grid Integration Redefining What's Possible for Renewable Energy: Grid Integration NRELCostBuilding Energy Systems NREL experts

  12. Buildings Events | Department of Energy

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

    EST ZERH Webinar: High-Performance Home Sales Training Part I 12:00PM to 1:00PM EST ESPC 2.0: How New Twists on Energy Savings Performance Contracting are Improving Energy...

  13. Energy consumption of building 39

    E-Print Network [OSTI]

    Hopeman, Lisa Maria

    2007-01-01T23:59:59.000Z

    The MIT community has embarked on an initiative to the reduce energy consumption and in accordance with the Kyoto Protocol. This thesis seeks to further expand our understanding of how the MIT campus consumes energy and ...

  14. Building Energy Use Benchmarking Guidance

    Broader source: Energy.gov [DOE]

    Guidance describes the Energy Independence and Security Act of 2007 section 432 requirement for benchmarking Federal facilities.

  15. Building Buddies (6 lessons) | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny: Theof Energy Future ofHydronicBuildingDepartment of EnergyBuilding Buddies

  16. Buildings Technologies Deployment | Clean energy | ORNL

    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 SHAREManufacturing |BuildingEnergyBuilding

  17. Building Agent Software - Energy Innovation Portal

    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, science,Energy,BubblesBuilding 9731 Building

  18. Technologies for Energy Efficient Buildings

    E-Print Network [OSTI]

    .4.2.3 Total electrical energy consumption 33 3.4.2.4 Consumer alert messages 33 3.5 Laboratory Testing of Electricity Delivery and Energy Reliability Under Award No. DE-FC26-06NT42847 Hawai`i Distributed Energy of work sponsored by an agency of the United States Government. Neither the United States Government nor

  19. DOE Commercial Building Energy Asset Score Web Service (Draft)

    SciTech Connect (OSTI)

    Elliott, Geoffrey; Wang, Na

    2013-09-30T23:59:59.000Z

    Documentation of the DOE Commercial Building Energy Asset Score application programming interface (API).

  20. 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.