Sample records for building energy modeling

  1. 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...

  2. 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

  3. 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

  4. 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

  5. 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.

  6. 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

  7. 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.

  8. 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...

  9. 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.

  10. 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

  11. 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

  12. 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...

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01T23:59:59.000Z

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

  14. 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

  15. 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

  16. 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...

  17. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

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

  18. 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

  19. 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.

  20. 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.

  1. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

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

    2012-09-30T23:59:59.000Z

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

  2. About Building Energy 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 1,006 492 742 33Frequently20,000 RussianBy:Whether you're a16-17, 201529, 2015 8:00AM EDT to September

  3. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

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

  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. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

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

  6. 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.

  7. Building Energy Modeling (BEM) Program Overview

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

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

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

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

  9. 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.

  10. Property:Buildings/Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear

  11. Building Energy Modeling (BEM) Program Overview

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

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

  12. Category:Building Models | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomassSustainableCSLInformationMissouri:Catalyst2-Mpage?Brophy OccurrenceModel.

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

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

  14. 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...

  15. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

    chillers/cooling towers for energy conversion, an electricalconsuming energy are chillers, cooling towers, and pumps. Atconsuming energy are chillers, cooling towers, and pumps. It

  16. Comparison of Building Energy Modeling Programs: HVAC Systems

    E-Print Network [OSTI]

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

  17. 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

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01T23:59:59.000Z

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

  19. 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.

  20. Property:Buildings/ModelBuildingType | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1 Jump

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

    SciTech Connect (OSTI)

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

    2012-05-01T23:59:59.000Z

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

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

    Broader source: Energy.gov [DOE]

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

  3. Infiltration modeling guidelines for commercial building energy analysis

    SciTech Connect (OSTI)

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

    2009-09-30T23:59:59.000Z

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

  4. 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...

  5. Form:Buildings Model | 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 are8COaBulkTransmissionSitingProcess.pdf Jump to:ar-80m.pdfFillmoreGabbs ValleyCity,Forked River, NewDENERGY Input

  6. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Gugercin, Serkan

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  13. 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...

  14. 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...

  15. 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...

  16. 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.

  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

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

  18. 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

  19. 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...

  20. 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...

  1. 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...

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

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

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

  3. 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

  4. 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...

  5. 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

  6. 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.

  7. 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...

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

    E-Print Network [OSTI]

    Cerpa, Alberto E.

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

  9. 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...

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Hayek, Raja Fares

    1994-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2013-01-01T23:59:59.000Z

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

  14. 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.

  15. 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...

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

    E-Print Network [OSTI]

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

    2014-01-01T23:59:59.000Z

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

  17. Building an Efficient Model for Afterburn Energy Release

    SciTech Connect (OSTI)

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

    2012-02-03T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Dong, B.

    2013-01-01T23:59:59.000Z

    distributed Direct Digital Control System (DDC) 4 7114 7113 ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Technology Approaches 5 Core Layer: BIM-based Database BIM to BEM Real-time Data Acquisition... Technologies Research Center ESL-KT-13-12-18 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas Dec. 16-18 Introduction • Motivation Source: NBI report 2008 Energy Performance of LEED For New Construction Buildings ESL-KT-13...

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

    E-Print Network [OSTI]

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

    1993-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01T23:59:59.000Z

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

  1. 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.

  2. 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.

  3. Property:Buildings/ModelType | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName JumpModelType

  4. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelNameModelYear Jump

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

    E-Print Network [OSTI]

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

    1998-01-01T23:59:59.000Z

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

  6. 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.

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

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

  8. Property:Buildings/ModelClimateZone | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1 JumpModelClimateZone

  9. Property:Buildings/ModelName | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName Jump to:

  10. Property:Buildings/ModelTargetType | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName Jump

  11. Property:Buildings/ModelXmlFile | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1ModelName

  12. 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...

  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 more...

  14. 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...

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01T23:59:59.000Z

    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?

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01T23:59:59.000Z

    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 

  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. 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...

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

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

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

  20. 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...

  1. 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

  2. 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) 

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

    SciTech Connect (OSTI)

    Hadley, SW

    2004-10-11T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2010-05-14T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2013-01-01T23:59:59.000Z

    1 Karine Lavigne Simon Sansregret Ahmed DaoudLouis-Alexandre Leclaire CALIBRATION OF AN ENERGYPLUS BUILDING ENERGY MODEL TO ASSESS THE IMPACT OF DEMAND RESPONSE MEASURES ICEBO 2013, Montr?al Groupe ? Technologie2 ICEBO-2013 Contextualization... ICEBO-2013 Groupe ? Technologie Calibrated Results 22 ICEBO-2013 12 Groupe ? Technologie Conclusion 23 ICEBO-2013 > Calibrating model for a demand response objective : Challenging and High Effort > Capturing building and human erratic behaviour...

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

    E-Print Network [OSTI]

    Burdet, Etienne; Morand, Denis; Diab, Youssef

    2014-01-01T23:59:59.000Z

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

  7. 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...

  8. 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 ...

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

    E-Print Network [OSTI]

    Goldstein, David Baird

    2011-01-01T23:59:59.000Z

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

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

    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 ofEnergy

  11. Building Energy Modeling Overview - 2014 BTO Peer Review | Department of

    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

  12. Building Energy Modeling Overview - 2015 BTO Peer Review | Department of

    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 RenewableEnergy

  13. Property:Buildings/ModelIdfFile | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation,Pillar GroupInformationInformationYearConstruction1

  14. Commercial Buildings Sector Agent-Based Model | 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:PowerCER.png ElColumbia, North Carolina:

  15. Energy Systems Laboratory: Building a Model Repository Collection

    E-Print Network [OSTI]

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

    2008-06-05T23:59:59.000Z

    . The Energy Systems Laboratory collection in the Texas A&M Digital Repository is unique in a number of ways. After first contacting the library in March 2005, the ESL became one of Texas A&M's earliest adopters of the repository. The collection is very diverse...

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

    SciTech Connect (OSTI)

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

    2009-07-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Griffith, B.; Crawley, D.

    2006-11-01T23:59:59.000Z

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

  18. 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

  19. 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.

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-04-07T23:59:59.000Z

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

  1. 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

  2. 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...

  3. 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...

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

    SciTech Connect (OSTI)

    Raustad, Richard

    2013-06-01T23:59:59.000Z

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

  5. 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...

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

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

  7. 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

  8. 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.

  9. 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

  10. 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, 

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

    SciTech Connect (OSTI)

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

    2011-03-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Wang, W.

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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01T23:59:59.000Z

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

  14. 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 ...

  15. 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...

  16. 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

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

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01T23:59:59.000Z

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

  18. 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.

  19. 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...

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

    SciTech Connect (OSTI)

    Brackney, L.

    2013-04-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

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

  2. 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

  3. 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...

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

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

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

  5. 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.

  6. 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

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

    E-Print Network [OSTI]

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

    1998-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bueno Unzeta, Bruno

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

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

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    Our work deals with creating information assistance for commissioning (Cx) low-energy buildings throughout their life-cycle. We call this Embedded Commissioning in reference to the integration of persistent and reliable Cx information. We have...

  10. 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...

  11. 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...

  12. 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,

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

    E-Print Network [OSTI]

    Xu, X.; Wang, S.

    2006-01-01T23:59:59.000Z

    Building level energy models are important to provide accurate prediction of energy consumption for building performance diagnosis and energy efficiency assessment of retrofitting alternatives for building performance upgrading. Simplified...

  14. 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

  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 AnVirtualcapture8.1 Buildings Sector

  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 AnVirtualcapture8.1 Buildings

  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 AnVirtualcapture8.1 BuildingsContact Us

  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 BuildingsContact

  19. 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:...

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. Better Buildings Neighborhood Program Business Models Guide

    Broader source: Energy.gov [DOE]

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

  5. 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...

  6. 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...

  7. 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

  8. 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...

  9. 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

  10. 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),...

  11. 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....

  12. 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.

  13. 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

  14. 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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01T23:59:59.000Z

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

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

    Broader source: Energy.gov [DOE]

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

  17. 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

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

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

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

  19. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19T23:59:59.000Z

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

  20. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06T23:59:59.000Z

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

  1. 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...

  2. 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.

  3. 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.

  4. 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...

  5. DOE Commercial Building Benchmark Models: Preprint

    SciTech Connect (OSTI)

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

    2008-07-01T23:59:59.000Z

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

  6. 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...

  7. 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...

  8. 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,

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

    SciTech Connect (OSTI)

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

    2013-09-01T23:59:59.000Z

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

  10. Energy efficiency indicators for high electric-load buildings

    E-Print Network [OSTI]

    Aebischer, Bernard; Balmer, Markus A.; Kinney, Satkartar; Le Strat, Pascale; Shibata, Yoshiaki; Varone, Frederic

    2003-01-01T23:59:59.000Z

    Aebischer, A. Huser, 2003: Energy Consumption of InformationCalifornia Commercial Building Energy Benchmarking Database.Architekt Nr. 50, p. The Energy Data and Modelling Center,

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

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

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

  12. 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.

  13. EnergyPlusDeST DOE-2.1E Building energy modeling programs comparison

    E-Print Network [OSTI]

    ST #12; 1 IEA BESTest ASHRAE Standard 140[1] [2] 1 EnergyPlus, DeST, DOE-2, ESP, BLAST TRNSYS 1 ASHRAE RP865[1] 2ANSI/ASHRAE Standard 140 [4] 3 IEA SHC BESTest / [5] EnergyPlus [6] [7

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

    SciTech Connect (OSTI)

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

    2014-01-01T23:59:59.000Z

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

  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

    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. NREL: Continuum Magazine - Building Better: Advanced Energy Design...

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

    case study for the AEDG for K-12 School Buildings: Achieving 50% Energy Savings Toward a Net Zero Energy Building. More than 200,000 energy model runs are needed to develop a...

  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. 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...

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

    E-Print Network [OSTI]

    Choi, Jong-Hyo

    2014-12-23T23:59:59.000Z

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

  20. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2014-12-06T23:59:59.000Z

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

  2. Integrated Modeling of Building Energy Requirements IncorporatingSolar Assisted Cooling

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris; Wang, Juan

    2005-08-10T23:59:59.000Z

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

  3. 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...

  4. 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...

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

    E-Print Network [OSTI]

    Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

    2012-01-01T23:59:59.000Z

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

  6. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19T23:59:59.000Z

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

  7. 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...

  8. 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...

  9. Text-Alternative Version: Webcast of the Renewable Energy Competency Model: An Aid to Build a Renewable Energy Skilled Workforce

    Broader source: Energy.gov [DOE]

    This is the Webcast of Renewable Energy and Competency model. Led by Linda Silverman an economist at Energy Efficiency and Renewable Energy and Pam Frugoli Department of Labor. This webcast was on...

  10. 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

  11. 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

  12. A Methodology to Measure Retrofit Energy Savings in Commercial Buildings 

    E-Print Network [OSTI]

    Kissock, John Kelly

    2008-01-16T23:59:59.000Z

    . This dissertation develops a methodology to measure retrofit energy savings and the uncertainty of the savings in commercial buildings. The functional forms of empirical models of cooling and heating energy use in commercial buildings are derived from an engineering...

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

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2013-01-01T23:59:59.000Z

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

  14. Lifecycle Assessment of Beijing-Area Building Energy Use and Emissions: Summary Findings and Policy Applications

    E-Print Network [OSTI]

    Aden, Nathaniel

    2010-01-01T23:59:59.000Z

    China's building sector--A review of energy and climate models forecast,”China's building sector--A review of energy and climate models forecast,”

  15. 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

  16. 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.

  17. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

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

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

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

  19. 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...

  20. 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...

  1. 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

  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

    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

  3. 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.

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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://

  9. 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.

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

    SciTech Connect (OSTI)

    Not Available

    2014-12-01T23:59:59.000Z

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

  11. 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.

  12. 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...

  13. 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...

  14. 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

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

  16. 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...

  17. 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...

  18. 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

  19. 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

  20. 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...

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    which combines the two cooling supply fans to just one asquantitatively the two cooling supply fans in the EnergyPlussupply fan has a capacity of 25,000 cfm. Model uses district heating and cooling

  2. 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

  3. 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...

  4. 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

  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. 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

  7. 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

  8. 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...

  9. 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

  10. 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

  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

  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 applications4.1

  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 applications4.15.1

  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 applications4.15.16.1

  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

  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 AnVirtualcapture8.1

  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 AnVirtualcapture8.1Most Popular Tables

  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 AnVirtualcapture8.1Most Popular

  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 5.5 :

  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 5.5

  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

  2. 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

  3. 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

  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, science,SpeedingWu,IntelligenceYou are here Western PagesPages

  5. 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...

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

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2013-01-01T23:59:59.000Z

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

  7. 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.

  8. 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

  9. 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

  10. Building Energy Code

    Broader source: Energy.gov [DOE]

    The New Jersey Uniform Construction Code Act provides that model codes and standards publications shall not be adopted more frequently than once every three years. However, a revision or amendment...

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

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

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

  12. 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(

  13. 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 ...

  14. 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...

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

    E-Print Network [OSTI]

    Jones, M.; Ledinger, S.

    2010-01-01T23:59:59.000Z

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

  16. Markovian Models for Electrical Load Prediction in Smart Buildings

    E-Print Network [OSTI]

    California at Santa Barbara, University of

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

  17. 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–

  18. 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

  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. 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,

  3. 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...

  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 Energy Audit Report for Pearl Harbor, HI

    SciTech Connect (OSTI)

    Brown, Daryl R.; Chvala, William D.; De La Rosa, Marcus I.; Dixon, Douglas R.

    2010-09-30T23:59:59.000Z

    A building energy audit was performed by a team of engineers from Pacific Northwest National Laboratory (PNNL) under contract to the Department of Energy/Federal Energy Management Program (FEMP). The effort used the Facility Energy Decision System (FEDS) model to determine how energy is consumed at selected Pearl Harbor buildings, identify cost-effective energy retrofit measures, and calculate the potential energy and cost savings. This report documents the findings of that assessment.

  6. 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

  7. 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

  8. 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

  9. 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 <

  10. 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:

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

    E-Print Network [OSTI]

    Carreira-Perpiñán, Miguel Á.

    -conditioning (HVAC) systems [EIA 2010]. Studies suggest that 15% to 25% of HVAC energy can be saved by setting: Occupancy-based system for efficient reduction of HVAC energy," in Proceedings of the 10th International control strategy," in Proceedings of the 2nd ACM Workshop on Embedded Sensing Systems for Energy

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

    Broader source: Energy.gov [DOE]

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

  13. Better Buildings Neighborhood Program Business Models Guide: Introduction

    Broader source: Energy.gov [DOE]

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

  14. 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. 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.

  17. 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.

  18. Building Information Modeling - A Minimum Mathematical Configuration 

    E-Print Network [OSTI]

    Bhandare, Ruchika

    2012-10-19T23:59:59.000Z

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

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpen EnergyNelsoniX LtdNew EnergyCity DataNextEra2005 Country|

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual Siteof EnergyInnovation in Carbon CaptureAtriaPowerBeanBeijingEnergy

  1. 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,

  2. 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

  3. ,/ 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

  4. 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 

  5. 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

  6. 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:

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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...

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01T23:59:59.000Z

    water supplied by thermal energy storage in the centralchilled water thermal energy storage (TES) tank provides

  14. 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

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI ReferenceJumpEnergy InformationGrupo Urbas(EC-LEDS) || Open

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup | Open EnergyInformation HessHirschmannScoring Tool

  17. 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.

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

  19. 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

  20. 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...

  1. 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...

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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:...

  7. 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

  8. Intelligent Controls for Net-Zero Energy Buildings

    SciTech Connect (OSTI)

    Li, Haorong; Cho, Yong; Peng, Dongming

    2011-10-30T23:59:59.000Z

    The goal of this project is to develop and demonstrate enabling technologies that can empower homeowners to convert their homes into net-zero energy buildings in a cost-effective manner. The project objectives and expected outcomes are as follows: • To develop rapid and scalable building information collection and modeling technologies that can obtain and process “as-built” building information in an automated or semiautomated manner. • To identify low-cost measurements and develop low-cost virtual sensors that can monitor building operations in a plug-n-play and low-cost manner. • To integrate and demonstrate low-cost building information modeling (BIM) technologies. • To develop decision support tools which can empower building owners to perform energy auditing and retrofit analysis. • To develop and demonstrate low-cost automated diagnostics and optimal control technologies which can improve building energy efficiency in a continual manner.

  9. 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.

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

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOnItem Not Found Item Not Found The itemAIR57451DOE/SC0002390 Technical ReportSEPTEMBERFrom

  11. Panama-Low-Carbon Energy for Central America: Building a Regional Model |

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnual SiteofEvaluatingGroup |JilinLuOpenNorthOlympiaAnalysis) JumpPalcan s JV withPalmcoAlto,PanOpen

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

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directedAnnualProperty EditCalifornia:PowerCER.pngRoofs and Heat Islands2007) | OpenCity,Cosmos| Open| Open

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof Energy Forrestal NTFusionConstrictingThePlasma Physics

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

    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,Dist.Newof Energy Forrestal NTFusionConstrictingThePlasma

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField8,Dist.Newof Energy Forrestal NTFusionConstrictingThePlasmaWorkshop

  16. From the Building to the Grid: an Energy Revolution and Modeling Challenge Workshop Part 1

    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,Dist.Newof Energy Forrestal

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bible, Mitchell

    2011-10-21T23:59:59.000Z

    space heaters. This reheating of previously cooled air is a significant waste of energy that can be avoided through use of fan powered terminal units (FPTU?s). FPTU?s induce warmer return air to mix with the cold supply air when in heating mode (Furr...

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

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

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

  20. 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...

  1. 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, &...

  2. 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 

  3. 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

  4. 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.

  5. 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...

  6. Building Energy Information Systems: User Case Studies

    SciTech Connect (OSTI)

    Granderson, Jessica; Piette, Mary Ann; Ghatikar, Girish

    2010-03-22T23:59:59.000Z

    Measured energy performance data are essential to national efforts to improve building efficiency, as evidenced in recent benchmarking mandates, and in a growing body of work that indicates the value of permanent monitoring and energy information feedback. This paper presents case studies of energy information systems (EIS) at four enterprises and university campuses, focusing on the attained energy savings, and successes and challenges in technology use and integration. EIS are broadly defined as performance monitoring software, data acquisition hardware, and communication systems to store, analyze and display building energy information. Case investigations showed that the most common energy savings and instances of waste concerned scheduling errors, measurement and verification, and inefficient operations. Data quality is critical to effective EIS use, and is most challenging at the subsystem or component level, and with non-electric energy sources. Sophisticated prediction algorithms may not be well understood but can be applied quite effectively, and sites with custom benchmark models or metrics are more likely to perform analyses external to the EIS. Finally, resources and staffing were identified as a universal challenge, indicating a need to identify additional models of EIS use that extend beyond exclusive in-house use, to analysis services.

  7. 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.

  8. 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.

  9. 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

  10. 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...

  11. 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...

  12. 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...

  13. 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

  14. 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

  15. Building statistical models by visualization

    E-Print Network [OSTI]

    Minka,Tom

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

  16. Costa Rica-Low-Carbon Energy for Central America: Building a...

    Open Energy Info (EERE)

    Rica-Low-Carbon Energy for Central America: Building a Regional Model AgencyCompany Organization World Watch Institute Sector Energy Focus Area Renewable Energy Topics Background...

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

    E-Print Network [OSTI]

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

    2012-01-01T23:59:59.000Z

    detailed discussion on various interventions undertaken to calibrate the model. The paper concludes that BIM/IFC based approaches provide a feasible alternative to conduct energy analysis of existing buildings provided various correlations are built...

  18. 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 ...

  19. Duct thermal performance models for large commercial buildings

    E-Print Network [OSTI]

    Wray, Craig P.

    2003-01-01T23:59:59.000Z

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

  20. 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

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

    E-Print Network [OSTI]

    Terwilliger, T. C.; Los Alamos National Laboratory, Mailstop M888, Los Alamos, NM 87545, USA; Lawrence Berkeley National Laboratory, One Cyclotron Road, Building 64R0121, Berkeley, CA 94720, USA; Department of Haematology, University of Cambridge, Cambridge CB2 0XY, England

    2008-01-01T23:59:59.000Z

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

  2. A Retrospective Analysis of Commercial Building Energy Codes: 1990 – 2008

    SciTech Connect (OSTI)

    Belzer, David B.; McDonald, Sean C.; Halverson, Mark A.

    2010-10-01T23:59:59.000Z

    Building Energy Codes Program's efforts are designed to result in increased stringency in national model energy codes, more rapid and broader adoption by states and localities of updated codes, and increased compliance and enforcement. Report estimates the historical impact of Building Energy Codes Program in terms of energy savings achieved that are based upon various editions of ANSI/ASHRAE/IESNA Standard 90.1 (ASHRAE Standard 90.1).

  3. Analysis of the Chinese Market for Building Energy Efficiency

    SciTech Connect (OSTI)

    Yu, Sha; Evans, Meredydd; Shi, Qing

    2014-03-20T23:59:59.000Z

    China will account for about half of the new construction globally in the coming decade. Its floorspace doubled from 1996 to 2011, and Chinese rural buildings alone have as much floorspace as all of U.S. residential buildings. Building energy consumption has also grown, increasing by over 40% since 1990. To curb building energy demand, the Chinese government has launched a series of policies and programs. Combined, this growth in buildings and renovations, along with the policies to promote green buildings, are creating a large market for energy efficiency products and services. This report assesses the impact of China’s policies on building energy efficiency and on the market for energy efficiency in the future. The first chapter of this report introduces the trends in China, drawing on both historical analysis, and detailed modeling of the drivers behind changes in floorspace and building energy demand such as economic and population growth, urbanization, policy. The analysis describes the trends by region, building type and energy service. The second chapter discusses China’s policies to promote green buildings. China began developing building energy codes in the 1980s. Over time, the central government has increased the stringency of the code requirements and the extent of enforcement. The codes are mandatory in all new buildings and major renovations in China’s cities, and they have been a driving force behind the expansion of China’s markets for insulation, efficient windows, and other green building materials. China also has several other important policies to encourage efficient buildings, including the Three-Star Rating System (somewhat akin to LEED), financial incentives tied to efficiency, appliance standards, a phasing out of incandescent bulbs and promotion of efficient lighting, and several policies to encourage retrofits in existing buildings. In the third chapter, we take “deep dives” into the trends affecting key building components. This chapter examines insulation in walls and roofs; efficient windows and doors; heating, air conditioning and controls; and lighting. These markets have seen significant growth because of the strength of the construction sector but also the specific policies that require and promote efficient building components. At the same time, as requirements have become more stringent, there has been fierce competition, and quality has at time suffered, which in turn has created additional challenges. Next we examine existing buildings in chapter four. China has many Soviet-style, inefficient buildings built before stringent requirements for efficiency were more widely enforced. As a result, there are several specific market opportunities related to retrofits. These fall into two or three categories. First, China now has a code for retrofitting residential buildings in the north. Local governments have targets of the number of buildings they must retrofit each year, and they help finance the changes. The requirements focus on insulation, windows, and heat distribution. Second, the Chinese government recently decided to increase the scale of its retrofits of government and state-owned buildings. It hopes to achieve large scale changes through energy service contracts, which creates an opportunity for energy service companies. Third, there is also a small but growing trend to apply energy service contracts to large commercial and residential buildings. This report assesses the impacts of China’s policies on building energy efficiency. By examining the existing literature and interviewing stakeholders from the public, academic, and private sectors, the report seeks to offer an in-depth insights of the opportunities and barriers for major market segments related to building energy efficiency. The report also discusses trends in building energy use, policies promoting building energy efficiency, and energy performance contracting for public building retrofits.

  4. UNDERSTANDING FLOW OF ENERGY IN BUILDINGS USING MODAL ANALYSIS METHODOLOGY

    SciTech Connect (OSTI)

    John Gardner; Kevin Heglund; Kevin Van Den Wymelenberg; Craig Rieger

    2013-07-01T23:59:59.000Z

    It is widely understood that energy storage is the key to integrating variable generators into the grid. It has been proposed that the thermal mass of buildings could be used as a distributed energy storage solution and several researchers are making headway in this problem. However, the inability to easily determine the magnitude of the building’s effective thermal mass, and how the heating ventilation and air conditioning (HVAC) system exchanges thermal energy with it, is a significant challenge to designing systems which utilize this storage mechanism. In this paper we adapt modal analysis methods used in mechanical structures to identify the primary modes of energy transfer among thermal masses in a building. The paper describes the technique using data from an idealized building model. The approach is successfully applied to actual temperature data from a commercial building in downtown Boise, Idaho.

  5. 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.

  6. 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...

  7. 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

  8. 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...

  9. 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...

  10. 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...

  11. 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...

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

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

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

  13. 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

  14. 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

  15. Energy-consumption modelling

    SciTech Connect (OSTI)

    Reiter, E.R.

    1980-01-01T23:59:59.000Z

    A highly sophisticated and accurate approach is described to compute on an hourly or daily basis the energy consumption for space heating by individual buildings, urban sectors, and whole cities. The need for models and specifically weather-sensitive models, composite models, and space-heating models are discussed. Development of the Colorado State University Model, based on heat-transfer equations and on a heuristic, adaptive, self-organizing computation learning approach, is described. Results of modeling energy consumption by the city of Minneapolis and Cheyenne are given. Some data on energy consumption in individual buildings are included.

  16. 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-

  17. 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...

  18. 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.

  19. 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 ...

  20. A long-term, integrated impact assessment of alternative building energy code scenarios in China

    SciTech Connect (OSTI)

    Yu, Sha; Eom, Jiyong; Evans, Meredydd; Clarke, Leon E.

    2014-04-01T23:59:59.000Z

    China is the second largest building energy user in the world, ranking first and third in residential and commercial energy consumption. Beginning in the early 1980s, the Chinese government has developed a variety of building energy codes to improve building energy efficiency and reduce total energy demand. This paper studies the impact of building energy codes on energy use and CO2 emissions by using a detailed building energy model that represents four distinct climate zones each with three building types, nested in a long-term integrated assessment framework GCAM. An advanced building stock module, coupled with the building energy model, is developed to reflect the characteristics of future building stock and its interaction with the development of building energy codes in China. This paper also evaluates the impacts of building codes on building energy demand in the presence of economy-wide carbon policy. We find that building energy codes would reduce Chinese building energy use by 13% - 22% depending on building code scenarios, with a similar effect preserved even under the carbon policy. The impact of building energy codes shows regional and sectoral variation due to regionally differentiated responses of heating and cooling services to shell efficiency improvement.

  1. 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

  2. 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

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

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

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

  4. 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...

  5. 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...

  6. 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.

  7. The Structure of Tradeoffs in Model Building

    E-Print Network [OSTI]

    Weisberg, Michael

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

  8. Modeling of Residential Buildings and Heating Systems

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01T23:59:59.000Z

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

  9. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01T23:59:59.000Z

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

  10. 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.

  11. Building Energy Audit Report, for Hickam AFB, HI

    SciTech Connect (OSTI)

    Chvala, William D.; De La Rosa, Marcus I.; Brown, Daryl R.; Dixon, Douglas R.

    2010-09-30T23:59:59.000Z

    A building energy assessment was performed by a team of engineers from Pacific Northwest National Laboratory (PNNL) under contract to the Department of Energy/Federal Energy Management program (FEMP). The effort used the Facility Energy Decision System (FEDS) model to determine how energy is consumed at Hickam AFB, identify the most cost-effective energy retrofit measures, and calculate the potential energy and cost savings. This documents reports the results of that assessment.

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

    E-Print Network [OSTI]

    Mukherji, Payal Tapandev

    2011-02-22T23:59:59.000Z

    Technology BLCC Building Life Cycle Cost DOE Department of Energy BIPV Building Integrated Photovoltaic Systems BEES Building for Environmental And Economic Sustainability HVAC Heating, Ventilation and Air-Conditioning SMACNA Sheet Metal and Air..., Fee Costs Construction Costs Other Costs Financing Costs Operation Costs (Energy, water, utilities, energy price, energy price projections etc.) Maintenance Costs Initial Costs (Purchase and Acquisition) Owner?s Total Costs Residual...

  13. 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

  14. 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.

  15. 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.

  16. 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...

  17. A simplified model for estimating population-scale energy impacts of building envelope air-tightening and mechanical ventilation retrofits

    SciTech Connect (OSTI)

    Logue, J. M.; Turner, W. J.N.; Walker, I. S.; Singer, B. C.

    2015-01-01T23:59:59.000Z

    Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector's energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level. The Incremental Ventilation Energy (IVE) model developed in this study combines the output of simple air exchange models with a limited set of housing characteristics to estimate the associated change in energy demand of homes. The IVE model was designed specifically to enable modellers to use existing databases of housing characteristics to determine the impact of ventilation policy change on a population scale. The IVE model estimates of energy change when applied to US homes with limited parameterisation are shown to be comparable to the estimates of a well-validated, complex residential energy model.

  18. 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

  19. 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

  20. 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

  1. 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...

  2. 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...

  3. 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-

  4. 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...

  5. 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...

  6. 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).

  7. 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...

  8. 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...

  9. 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....

  10. 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...

  11. 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.

  12. 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, 

  13. 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

  14. 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.

  15. 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.

  16. 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

  17. 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...

  18. 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...

  19. A Buildings Module for the Stochastic Energy Deployment System

    SciTech Connect (OSTI)

    Lacommare, Kristina S H; Marnay, Chris; Stadler, Michael; Borgeson, Sam; Coffey, Brian; Komiyama, Ryoichi; Lai, Judy

    2008-05-15T23:59:59.000Z

    The U.S. Department of Energy (USDOE) is building a new long-range (to 2050) forecasting model for use in budgetary and management applications called the Stochastic Energy Deployment System (SEDS), which explicitly incorporates uncertainty through its development within the Analytica(R) platform of Lumina Decision Systems. SEDS is designed to be a fast running (a few minutes), user-friendly model that analysts can readily run and modify in its entirety through a visual programming interface. Lawrence Berkeley National Laboratory is responsible for implementing the SEDS Buildings Module. The initial Lite version of the module is complete and integrated with a shared code library for modeling demand-side technology choice developed by the National Renewable Energy Laboratory (NREL) and Lumina. The module covers both commercial and residential buildings at the U.S. national level using an econometric forecast of floorspace requirement and a model of building stock turnover as the basis for forecasting overall demand for building services. Although the module is fundamentally an engineering-economic model with technology adoption decisions based on cost and energy performance characteristics of competing technologies, it differs from standard energy forecasting models by including considerations of passive building systems, interactions between technologies (such as internal heat gains), and on-site power generation.

  20. 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).

  1. Bias in Predicting Annual Energy Use in Commercial Buildings with Regression Models Developed from Short Data Sets 

    E-Print Network [OSTI]

    Katipamula, S.; Reddy, T. A.; Claridge, D. E.

    1994-01-01T23:59:59.000Z

    An empirical or regression modeling approach is simple to develop and easy to use compared to use of detailed hourly simulations. Therefore, regression analysis has become a widely used tool in the determination of annual energy savings accruing...

  2. 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

  3. 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.

  4. 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

  5. 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

  6. 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

  7. 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

  8. 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

  9. 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

  10. 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

  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 Data Center Home Page onYouTube YouTube Note: Since the YouTube platformBuilding Removal Ongoing at DOE's PaducahBuildings Events Buildings

  12. El Salvador-Low-Carbon Energy for Central America: Building a...

    Open Energy Info (EERE)

    Regional Model Jump to: navigation, search Name El Salvador-Low-Carbon Energy for Central America: Building a Regional Model AgencyCompany Organization World Watch Institute...

  13. 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...

  14. 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...

  15. 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

  16. 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

  17. 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.

  18. 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 "

  19. 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

  20. 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

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01T23:59:59.000Z

    41957 IEA (2008). World energy outlook 2008. Paris, France,scenarios for the World Energy Outlook (IEA 2008), the

  2. 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...

  3. 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.

  4. Control and Room Temperature Optimization of Energy Efficient Buildings

    SciTech Connect (OSTI)

    Djouadi, Seddik M [ORNL] [ORNL; Kuruganti, Phani Teja [ORNL] [ORNL

    2012-01-01T23:59:59.000Z

    The building sector consumes a large part of the energy used in the United States and is responsible for nearly 40% of greenhouse gas emissions. It is therefore economically and environmentally important to reduce the building energy consumption to realize massive energy savings. In this paper, a method to control room temperature in buildings is proposed. The approach is based on a distributed parameter model represented by a three dimensional (3D) heat equation in a room with heater/cooler located at ceiling. The latter is resolved using finite element methods, and results in a model for room temperature with thousands of states. The latter is not amenable to control design. A reduced order model of only few states is then derived using Proper Orthogonal Decomposition (POD). A Linear Quadratic Regulator (LQR) is computed based on the reduced model, and applied to the full order model to control room temperature.

  5. 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...

  6. 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

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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.

  14. 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

  15. 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....

  16. 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...

  17. 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...

  18. 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,...

  19. 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...

  20. 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...

  1. 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...

  2. 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.

  3. 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...

  4. 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...

  5. 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.,...

  6. 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 -...

  7. 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 -...

  8. 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...

  9. 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...

  10. 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...

  11. 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...

  12. 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.

  13. 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...

  14. 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

  15. 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...

  16. Evaluating the Energy Performance of the First Generation of LEED-Certified Commercial Buildings

    E-Print Network [OSTI]

    Evaluating the Energy Performance of the First Generation of LEED-Certified Commercial Buildings ABSTRACT Over three hundred buildings have been certified under the Leadership in Energy and Environmental the modeled and actual energy performance of a sample of 21 of these buildings that certified under LEED

  17. 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...

  18. 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...

  19. 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

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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...

  8. GreenCharge: Managing Renewable Energy in Smart Buildings

    E-Print Network [OSTI]

    Shenoy, Prashant

    1 GreenCharge: Managing Renewable Energy in Smart Buildings Aditya Mishra, David Irwin, Prashant that combines market-based electricity pricing models with on-site renewables and modest energy storage (in renewables). We show that GreenCharge's savings for a typical home today are near 20%, which are greater than

  9. 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

  10. 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

  11. 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

  12. 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

  13. Responsive and Intelligent Building Information and Control for Low-Energy

    E-Print Network [OSTI]

    that greatly reduce energy use and peak electric power in buildings while providing or improving the services and optimization, and model predictive control to augment these models with dynamics of building system more integrated there is an opportunity for buildings to respond to common grid systems and model-ba

  14. Optimizing Energy Savings from Direct-DC in U.S. Residential Buildings

    E-Print Network [OSTI]

    Garbesi, Karina

    2012-01-01T23:59:59.000Z

    wind/fuel cell hybrid energy systems. Energy and Buildings,National Energy Modeling System PHEV plug-in hybrid electrica hybrid DC and AC power system that included energy storage

  15. 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

  16. 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.

  17. 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...

  18. 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

  19. 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

  20. 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...