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Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
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We encourage you to perform a real-time search of NLEBeta
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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 E+ Building Energy Models  

SciTech Connect (OSTI)

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

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

2012-01-01T23:59:59.000Z

3

Building Energy Modeling (BEM) Overview  

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

& Annex 58: validation-grade experiments Targeted research & advanced development * Modelica Buildings Library & IEA Annex 60 * Modelica + Functional Mockup Interface * Will form...

4

Scripted Building Energy Modeling and Analysis (Presentation)  

SciTech Connect (OSTI)

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

Macumber, D.

2012-10-01T23:59:59.000Z

5

Building Energy Modeling | Department of Energy  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative FuelsBSCmemo.pdf BSCmemo.pdfBiopower BasicsEmerging Technologies » Building Energy

6

Comparison of Building Energy Modeling Programs: Building Loads  

E-Print Network [OSTI]

Energy, the U.S.-China Clean Energy Research Center for Building Energy Efficiency, of the U National Laboratory, USA and Tsinghua University, China Under the U.S.-China Clean Energy Research Center the US-China Clean Energy Research Center on Building Energy Efficiency (CERC-BEE). Energy Foundation

7

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 Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 < prev nextInvestigation |Mark LessansEnergyEnergy

8

Model Predictive Control for Energy Efficient Buildings  

E-Print Network [OSTI]

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

Ma, Yudong

2012-01-01T23:59:59.000Z

9

Uncalibrated Building Energy Simulation Modeling Results  

E-Print Network [OSTI]

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...

Ahmad, M.; Culp, C.H.

10

Scripted Building Energy Modeling and Analysis: Preprint  

SciTech Connect (OSTI)

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

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

2012-08-01T23:59:59.000Z

11

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

12

Methodology for Modeling Building Energy Performance across the Commercial Sector  

SciTech Connect (OSTI)

This report uses EnergyPlus simulations of each building in the 2003 Commercial Buildings Energy Consumption Survey (CBECS) to document and demonstrate bottom-up methods of modeling the entire U.S. commercial buildings sector (EIA 2006). The ability to use a whole-building simulation tool to model the entire sector is of interest because the energy models enable us to answer subsequent 'what-if' questions that involve technologies and practices related to energy. This report documents how the whole-building models were generated from the building characteristics in 2003 CBECS and compares the simulation results to the survey data for energy use.

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

2008-03-01T23:59:59.000Z

13

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

SciTech Connect (OSTI)

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

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

2011-02-01T23:59:59.000Z

14

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

E-Print Network [OSTI]

Clappier, A new building energy model coupled with an urban a Detailed Building Energy Model with a Physically?Based existing building energy models emerged from the engineering

Yaghoobian, Neda; Kleissl, Jan

2012-01-01T23:59:59.000Z

15

Building Energy Model Development for Retrofit Homes  

SciTech Connect (OSTI)

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

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

2012-09-30T23:59:59.000Z

16

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' ResearchThe Office ofReporting (Connecticut) | Department ofproject from a

17

Model Predictive Control for Energy Efficient Buildings  

E-Print Network [OSTI]

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

Ma, Yudong

2012-01-01T23:59:59.000Z

18

Model Predictive Control for Energy Efficient Buildings  

E-Print Network [OSTI]

feedback control. Green buildings are expected to maintainHigh-performance green buildings are expected to maintain

Ma, Yudong

2012-01-01T23:59:59.000Z

19

Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents  

SciTech Connect (OSTI)

Building Energy Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposes. EnergyPlus is the flagship Department of Energy software that performs BEM for different types of buildings. The input to EnergyPlus 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.

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

2014-01-01T23:59:59.000Z

20

Simulation Models to Optimize the Energy Consumption of Buildings  

E-Print Network [OSTI]

Page 1 of paper submitted to ICEBO 2008 Berlin SIMULATION MODELS TO OPTIMIZE THE ENERGY CONSUMPTION OF BUILDINGS Sebastian Burhenne Fraunhofer-Institute for Solar Energy Systems Freiburg, Germany Dirk Jacob Fraunhofer...-Institute for Solar Energy Systems Freiburg, Germany ABSTRACT 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...

Burhenne, S.; Jacob, D.

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

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

E-Print Network [OSTI]

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

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

22

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.

23

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

E-Print Network [OSTI]

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

Coffey, Brian

2010-01-01T23:59:59.000Z

24

Building environment modeling and minimum-energy control  

E-Print Network [OSTI]

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...

Godfrey, James Bradford

1980-01-01T23:59:59.000Z

25

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

26

Model Predictive Control for Energy Efficient Buildings  

E-Print Network [OSTI]

is to minimize the total energy consumptions (1.1a) whilethe closed-loop total energy consumption u J = N ?1 |u ? (violation and total energy consumption. It is observed that

Ma, Yudong

2012-01-01T23:59:59.000Z

27

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

SciTech Connect (OSTI)

Today, many large commercial buildings use sophisticated building automation systems (BASs) to manage a wide range of building equipment. While the capabilities of BASs have increased over time, many buildings still do not fully use the BAS's capabilities and are not properly commissioned, operated or maintained, which leads to inefficient operation, increased energy use, and reduced lifetimes of the equipment. This report investigates the energy savings potential of several common HVAC system retuning measures on a typical large office building prototype model, using the Department of Energy's building energy modeling software, EnergyPlus. The baseline prototype model uses roughly as much energy as an average large office building in existing building stock, but does not utilize any re-tuning measures. Individual re-tuning measures simulated against this baseline include automatic schedule adjustments, damper minimum flow adjustments, thermostat adjustments, as well as dynamic resets (set points that change continuously with building and/or outdoor conditions) to static pressure, supply air temperature, condenser water temperature, chilled and hot water temperature, and chilled and hot water differential pressure set points. Six combinations of these individual measures have been formulated - each designed to conform to limitations to implementation of certain individual measures that might exist in typical buildings. All of these measures and combinations were simulated in 16 cities representative of specific U.S. climate zones. The modeling results suggest that the most effective energy savings measures are those that affect the demand-side of the building (air-systems and schedules). Many of the demand-side individual measures were capable of reducing annual HVAC system energy consumption by over 20% in most cities that were modeled. Supply side measures affecting HVAC plant conditions were only modestly successful (less than 5% annual HVAC energy savings for most cities for all measures). Combining many of the retuning measures revealed deep savings potential. Some of the more aggressive combinations revealed 35-75% reductions in annual HVAC energy consumption, depending on climate and building vintage.

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

2012-06-01T23:59:59.000Z

28

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

SciTech Connect (OSTI)

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

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

2012-05-01T23:59:59.000Z

29

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...

30

Infiltration modeling guidelines for commercial building energy analysis  

SciTech Connect (OSTI)

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

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

2009-09-30T23:59:59.000Z

31

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...

32

Model Predictive Control for Energy Efficient Buildings  

E-Print Network [OSTI]

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

Ma, Yudong

2012-01-01T23:59:59.000Z

33

Category:Building Models | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBostonFacilityCascade SierraStatus Status of cases issued

34

Property:Buildings/Models | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jumplinks to pages

35

Simulation and Big Data Challenges in Tuning Building Energy Models  

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

36

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

E-Print Network [OSTI]

Modeling (BEM) is an approach to model the energy usage in buildings for design and retrofit purposesCalibration of Building Energy Models: Supercomputing, Big-Data and Machine-Learning Jibonananda Sanyal, Joshua New, Richard Edwards Energy and Environmental Sciences Directorate Building Energy

Wang, Xiaorui "Ray"

37

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

E-Print Network [OSTI]

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

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

38

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

E-Print Network [OSTI]

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

Gugercin, Serkan

39

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

40

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

E-Print Network [OSTI]

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...

Alcocer, J.; Haberl, J. S.

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

E-Print Network [OSTI]

to the difference between the total energy entering and leaving the system. That is, CV entering leaving air cond sol occ E C H E E E Q Q Q Q Q E E ? ? ? ? ? ? ? ? ? ? (1) where Qair, Qcond, Qsol, Qocc, and QE are building heat load components from air... is defined as (Shao, 2006): BL E C H E C H air cond sol occ E Q E E fE E E Q Q Q Q ? ? ? ? ? ? ? ? ? ? ? (2) where EE is the metered whole-building non-cooling electricity use. The multiplicative factor f represents a fraction of EE which...

Masuda, H.; Claridge, D.

2012-01-01T23:59:59.000Z

42

Calibrating Building Energy Models Using Supercomputer Trained Machine Learning Agents  

E-Print Network [OSTI]

% of all natural gas produced in the United States thereby contributing 40% of the carbon dioxide a significant stake in improving the energy footprint and efficiency of the build- ings sector for economic- ergy savings. The large number of existing buildings that do not employ energy efficient technologies

Wang, Xiaorui "Ray"

43

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

E-Print Network [OSTI]

Submission of manuscript to Energy and Buildings A thermal model for Phase Change Materials: Stéphane GUICHARD Physics and Mathematical Engineering Laboratory for Energy and Environment (PIMENT in "Energy and Buildings 70 (2014) http://www.sciencedirect.com/science/article/pii/ S0378778813007962" DOI

Paris-Sud XI, Université de

44

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

E-Print Network [OSTI]

An energy analysis was performed on the Texas A & M University at Qatar building in Doha, Qatar. The building and its HVAC systems were modeled using EnergyPlus. Building chilled water and electrical data were collected to validate the computer...

Bible, Mitchell

2011-10-21T23:59:59.000Z

45

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

E-Print Network [OSTI]

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...?for?simple?energy?performance?analysis ? 24?hour?cycle?variations?are?averaged?out?in?daily?data. ? The?dominant?driving?terms?of?most?buildings?follow?a?24?h?cycle.?(Rabl,?1992)? solar?irradiance,?OA?temperature,?ventilation,?occupancy?level,?lights?and?equipment?loads,? delayed?loads?due?to?thermal...

Masuda, H.; Claridge, D. E.

2012-01-01T23:59:59.000Z

46

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]

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...

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

2013-01-01T23:59:59.000Z

47

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

SciTech Connect (OSTI)

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

Don Shirey

2008-02-28T23:59:59.000Z

48

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

E-Print Network [OSTI]

use analysis for use in the frame of an energy efficiency service process. Focus is given to the calibration of a simplified dynamic hourly building energy simulation model by means of available energy use data and to the integration of the calibration...

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

2012-01-01T23:59:59.000Z

49

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

E-Print Network [OSTI]

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

Cerpa, Alberto E.

50

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

E-Print Network [OSTI]

AUTOMATIC CALIBRATION OF A BUILDING ENERGY SIMULATION MODEL USING A GLOBAL OPTIMIZATION PROGRAM Seung Uk Lee Research Associate Texas A&M University Energy Systems Laboratory College Station, TX David E. Claridge, Ph.D., P....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...

Lee, S. U.; Claridge, D.

2002-01-01T23:59:59.000Z

51

Handling model uncertainty in model predictive control for energy efficient buildings  

E-Print Network [OSTI]

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.

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

2014-01-01T23:59:59.000Z

52

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

E-Print Network [OSTI]

42 Occupancy Modeling and Prediction for Building Energy Management VARICK L. ERICKSON, University, University of California, Merced Heating, cooling and ventilation accounts for 35% energy usage in the United into building conditioning system for usage-based demand control conditioning strategies. Using strategies based

Carreira-Perpiñán, Miguel Á.

53

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

SciTech Connect (OSTI)

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

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

1982-12-01T23:59:59.000Z

54

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

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

55

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

SciTech Connect (OSTI)

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.

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

2014-02-28T23:59:59.000Z

56

Building an Efficient Model for Afterburn Energy Release  

SciTech Connect (OSTI)

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

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

2012-02-03T23:59:59.000Z

57

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

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

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

58

Building America Residential Buildings Energy Efficiency Meeting...  

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

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

59

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

E-Print Network [OSTI]

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

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

2014-01-01T23:59:59.000Z

60

Using Fourier Series to Model Hourly Energy Use in Commercial Buildings  

E-Print Network [OSTI]

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...

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

1993-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

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

E-Print Network [OSTI]

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 ...

Mandelbaum, Andrew (Andrew Joseph)

2014-01-01T23:59:59.000Z

62

Energy 101: Energy Efficient Commercial Buildings  

ScienceCinema (OSTI)

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.

None

2014-06-26T23:59:59.000Z

63

Energy 101: Energy Efficient Commercial Buildings  

SciTech Connect (OSTI)

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.

None

2014-03-14T23:59:59.000Z

64

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

E-Print Network [OSTI]

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

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

1998-01-01T23:59:59.000Z

65

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

E-Print Network [OSTI]

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

Coffey, Brian

2010-01-01T23:59:59.000Z

66

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...

67

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...

68

Building Energy Standards  

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...

69

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...

70

Determination of Retrofit Savings Using a Calibrated Building Energy Simulation Model  

E-Print Network [OSTI]

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...

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

1994-01-01T23:59:59.000Z

71

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

E-Print Network [OSTI]

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...

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

2011-01-01T23:59:59.000Z

72

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

SciTech Connect (OSTI)

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

Hadley, SW

2004-10-11T23:59:59.000Z

73

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

made in the energy efficiency of buildings. Better cost dataimproving energy efficiency of buildings is being addressedimprovement of energy efficiency in buildings are briefly

Wall, L.W.

2009-01-01T23:59:59.000Z

74

Building Energy Code  

Broader source: Energy.gov [DOE]

'''''Note: The California Energy Commission adopted the 2013 Building Energy Efficiency Standards for new residential and commercial construction on May 31, 2012. The new standards are expected to...

75

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

E-Print Network [OSTI]

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...

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

2013-01-01T23:59:59.000Z

76

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...

77

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

E-Print Network [OSTI]

Regression models of measured energy use in buildings are widely used as baseline models to determine retrofit savings from measured energy consumption. It is less expensive to determine savings from monthly utility bills when they are available...

Wang, J.; Claridge, D. E.

1998-01-01T23:59:59.000Z

78

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

E-Print Network [OSTI]

and total floor area using the revision screens must to be emphasized. Figures 6 and 7 show the EnerCAD 92. 06 revision screens. 28 1. Proj. : OFFICE BUILDING 2. Site: ROCHESTER, NBW YORK 8 3. Rev. No. : SAMPLE CASE PAGE 1 4. Building Type: Office... and E. ter for MAIN MENU 08-30-1993 00 46 34 Fig. 6. EnerCAD 92. 06 first revision screen Proj . OFFICE BUILDING Sate. ROCHESTER, NEW YORK 4 Rev. No SAMpLE CAsE PAGE 2 The followrng d:faults were derrved f om your Input. Occ p ol' = 290 persors H W...

Hayek, Raja Fares

2012-06-07T23:59:59.000Z

79

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

E-Print Network [OSTI]

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

Street, Michael A. (Michael Anthony)

2013-01-01T23:59:59.000Z

80

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

E-Print Network [OSTI]

programs. The Leadership in Energy and Environmental Design (LEED) sustainable building program provides a set of criteria for rating sustainable buildings (U.S. Green Building Council 2009). The Estidama rating program, currently in its pilot phase...

Jones, M.; Ledinger, S.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

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

E-Print Network [OSTI]

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

Goldstein, David Baird

2011-01-01T23:59:59.000Z

82

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

E-Print Network [OSTI]

combination of the total energy consumption and the peakalso reduces the total energy consumption of the occupancyTotal and Peak Energy Consumption Minimization of Building

Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

83

BUILDING ENERGY 1987 Edition  

E-Print Network [OSTI]

BUILDING ENERGY EFFICIENCY STANDARDS 1987 Edition 1988 SUPPLEMENT December 1987 Supplement May 1988 at: http://www.energy.ca.gov/title24/ #12;California Energy Commission Charles R. Imbrecht, Chairman, Executive Director Energy Efficiency & Local Aaalatance Dlvlalon Building and Appliance Efficiency Office

84

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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jump to:ModelType Jump

85

Property:Buildings/ModelXmlFile | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jump to:ModelType

86

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:Year in Review: Top Five EEREDepartmentFebruaryResistance HeatingPowerDepartment of-Energy

87

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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarreisVolcanicPowerRaftColumbia RuralCommercial AlgaeAgent-Based

88

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

SciTech Connect (OSTI)

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

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

2009-07-01T23:59:59.000Z

89

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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jump to: navigation,

90

Property:Buildings/ModelTargetType | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jump to:

91

Property:Buildings/ModelYear | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 No revision hasInformationInyo County,InformationInformation Pellets JumpModelName Jump

92

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

E-Print Network [OSTI]

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

Feng, Wei

2013-01-01T23:59:59.000Z

93

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

SciTech Connect (OSTI)

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

Wetter, Michael

2009-04-07T23:59:59.000Z

94

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

E-Print Network [OSTI]

the US EIA Commercial Buildings Energy Consumption Survey (2: US commercial building stock energy consumption and floorof time varying energy consumption in the US commercial

Coffey, Brian

2010-01-01T23:59:59.000Z

95

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

E-Print Network [OSTI]

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

Piette, Mary Ann

2014-01-01T23:59:59.000Z

96

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...

97

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

E-Print Network [OSTI]

PRODUCT AND PROCESS MODELING FOR FUNCTIONAL PERFORMANCE TESTING IN LOW- ENERGY BUILDING EMBEDDED COMMISSIONING CASES Omer Akin, Kwang Jun Lee, Asli Akcamete, Burcu Akinci, and James Garrett, Jr. School of Architecture and Department... south zone and north zone indoor temperature ((T south + T north ) / 2)) is below the pump set point (60 o F) or if the schedule calls for it (Gong and Claridge, 2006). We discovered that some of the wiring connecting the sensors to the control...

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

2007-01-01T23:59:59.000Z

98

Computer Modeling VRF Heat Pumps in Commercial Buildings using EnergyPlus  

SciTech Connect (OSTI)

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

Raustad, Richard

2013-06-01T23:59:59.000Z

99

Energy Department Announces Building Energy Efficiency Investments...  

Energy Savers [EERE]

Energy Department Announces Building Energy Efficiency Investments in Twenty-Two States Energy Department Announces Building Energy Efficiency Investments in Twenty-Two States June...

100

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

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.

Wall, L.W.

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

Building Energy Monitoring and Analysis  

E-Print Network [OSTI]

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, 

Hong, Tianzhen

2014-01-01T23:59:59.000Z

102

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

E-Print Network [OSTI]

new buildings after 2020 are net-zero energy, but note thatRamping up to net-zero energy new buildings by 2020 and a

Coffey, Brian

2010-01-01T23:59:59.000Z

103

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

SciTech Connect (OSTI)

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

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

2011-03-01T23:59:59.000Z

104

Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model  

Broader source: Energy.gov [DOE]

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

105

Building Energy Efficient Schools  

E-Print Network [OSTI]

for extremely inefficient buildings. To accomplish this, the school administrator must be an active participant in the design process. Energy efficient school design is a team effort involving the architect, engineer, and school administrator. This paper...

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

1985-01-01T23:59:59.000Z

106

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

E-Print Network [OSTI]

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

Yaghoobian, Neda; Kleissl, Jan

2012-01-01T23:59:59.000Z

107

Building Energy Use Benchmarking | Department of Energy  

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

Energy Data Management Building Energy Use Benchmarking Building Energy Use Benchmarking Benchmarking is the practice of comparing the measured performance of a device, process,...

108

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

E-Print Network [OSTI]

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...

Wang, W.

109

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

E-Print Network [OSTI]

consumed 74% of all electrictity and 34% of all natural gas produced in the United States thereby) Building Technologies Office (BTO) has a significant stake in improving the energy footprint and efficiency build- ings that do not employ energy efficient technologies present a low-hanging fruit that could

Wang, Xiaorui "Ray"

110

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

E-Print Network [OSTI]

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

Lee, Kwang Ho; Schiavon, Stefano

2013-01-01T23:59:59.000Z

111

A methodology to develop monthly energy use models from utility billing data for seasonally scheduled buildings: application to schools  

E-Print Network [OSTI]

be determined with two separate models for the baseline: a 3-P model for non-summer months, and a mean model for the summer months. (Landman 1996). This thesis proposes a methodology for developing baseline models of energy use for buildings such as schools...

Wang, Wenyan

1998-01-01T23:59:59.000Z

112

Buildings | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orA BRIEFAprilBudgetAbout » BuildingBuildings Buildings

113

INDOOR AIR QUALITY IN ENERGY-EFFICIENT BUILDINGS  

E-Print Network [OSTI]

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

Hollowell, Craig D.

2011-01-01T23:59:59.000Z

114

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

SciTech Connect (OSTI)

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

Brackney, L.

2013-04-01T23:59:59.000Z

115

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

E-Print Network [OSTI]

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

Wang, Xiaorui "Ray"

116

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

E-Print Network [OSTI]

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...

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

117

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

SciTech Connect (OSTI)

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.

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

2013-01-01T23:59:59.000Z

118

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

E-Print Network [OSTI]

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

Coffey, Brian

2010-01-01T23:59:59.000Z

119

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

E-Print Network [OSTI]

beam normal radiation that is later divided into visible and infrared components. The visible radiation is piped to luminaires inside the building using optical fibers, while the infrared radiation is focused annual building energy loads (lighting, cooling, and heating) and illumination chromaticity values

Wisconsin at Madison, University of

120

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 the adoption of the 2008 Building Energy Efficiency Standards to Jon Leber, PE, (November 13, 1947 - February

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

Abstract--Energy efficiency for the buildings is vital for the environment and sustainability. Buildings are responsible for  

E-Print Network [OSTI]

. Index Terms-- Green Buildings, Energy Efficiency, Energy Modeling, Smart Energy, Energy1 Abstract--Energy efficiency for the buildings is vital for the environment and sustainability. Buildings are responsible for significant energy consumption and carbon dioxide emissions in the United

Jain, Raj

122

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]

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...

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

1998-01-01T23:59:59.000Z

123

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...

124

Energy Conservation in Public Buildings  

Broader source: Energy.gov [DOE]

The Florida Energy Conservation and Sustainable Buildings Act requires the use of energy-efficient equipment and design, and solar energy devices for heating and cooling state buildings where life...

125

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

E-Print Network [OSTI]

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

Bueno Unzeta, Bruno

126

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

E-Print Network [OSTI]

-Institute for Solar Energy Systems Freiburg, Germany Dirk Jacob Fraunhofer-Institute for Solar Energy Systems Freiburg, Germany ABSTRACT This work forms part of the ModBen project conducted by Fraunhofer ISE. This paper aims to compare actual... is a complex building. The complexity comes from the architectural design that ESL-IC-08-10-70 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 Page 2 of paper submitted...

Bambrook, S.; Jacob, D.

127

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...

128

Buildings Performance Database | Department of Energy  

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

Consumers Billions Tools EnergyPlus Whole Building Energy Simulation OpenStudio Energy Simulation Application Suite Buildings Performance Database Building Energy Software Tools...

129

Building Energy Monitoring and Analysis  

E-Print Network [OSTI]

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,

Hong, Tianzhen

2014-01-01T23:59:59.000Z

130

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

SciTech Connect (OSTI)

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

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

2013-01-01T23:59:59.000Z

131

Hybrid Model of Existing Buildings for Transient Thermal Performance Estimation  

E-Print Network [OSTI]

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

Xu, X.; Wang, S.

2006-01-01T23:59:59.000Z

132

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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating SolarElectricEnergyCTBarre BiomassTHISBrickyardRepower JumpBuildingChangeprovide

133

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

commercial and residential buildings, appliances and equipment, and the vali- dation of computational tools for estimating energy usage.

Wall, L.W.

2009-01-01T23:59:59.000Z

134

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

E-Print Network [OSTI]

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...

Chhajed, Shreyans

2014-08-01T23:59:59.000Z

135

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),...

136

Evaluation of Automated Model Calibration Techniques for Residential Building Energy Simulation  

SciTech Connect (OSTI)

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

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

2013-09-01T23:59:59.000Z

137

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.

138

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

E-Print Network [OSTI]

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

Yaghoobian, Neda; Kleissl, Jan

2012-01-01T23:59:59.000Z

139

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."

140

EnergyPlusDeST DOE-2.1E Building energy modeling programs comparison  

E-Print Network [OSTI]

4 EnergyPlus DeST 4 #12; 4 4.1 CAVVAV ASHRAE Standard 90.1-2004 EnergyPlus DeST #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

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1 Building

142

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1 Building6.1

143

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1 Building6.17.1

144

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1 Building6.17.18.1

145

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...

146

Moving Toward Zero Energy Buildings  

E-Print Network [OSTI]

that are extremely energy efficient and produce enough of their own power that, over the course of a year, they produce as much as they need to operate.? Some may call them zero emissions, eco-buildings, green buildings, solar buildings. I don?t quibble with a... 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...

Ginsberg, M.

2008-01-01T23:59:59.000Z

147

SUSY Model Building  

E-Print Network [OSTI]

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.

Stuart Raby

2007-10-19T23:59:59.000Z

148

String Model Building  

E-Print Network [OSTI]

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.

Stuart Raby

2009-11-06T23:59:59.000Z

149

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

SciTech Connect (OSTI)

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

Wetter, Michael

2009-02-12T23:59:59.000Z

150

Flexible Framework for Building Energy Analysis: Preprint  

SciTech Connect (OSTI)

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.

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

2012-09-01T23:59:59.000Z

151

DOE Commercial Building Benchmark Models: Preprint  

SciTech Connect (OSTI)

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

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

2008-07-01T23:59:59.000Z

152

Building Energy Monitoring and Analysis  

SciTech Connect (OSTI)

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.

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

2013-06-01T23:59:59.000Z

153

Energy Department Issues Green Building Certification System...  

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

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

154

Rating the energy performance of buildings  

E-Print Network [OSTI]

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

Olofsson, Thomas; Meier, Alan; Lamberts, Roberto

2004-01-01T23:59:59.000Z

155

Building Energy Monitoring and Analysis  

SciTech Connect (OSTI)

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.

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

2013-06-01T23:59:59.000Z

156

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

SciTech Connect (OSTI)

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.

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

2013-09-01T23:59:59.000Z

157

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

SciTech Connect (OSTI)

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.

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

158

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

159

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

E-Print Network [OSTI]

. One method of determining the energy savings resulting from energy conserving retrofits relies on the use of a model for the daily whole building consumption, Epre, in the pre-retrofit configuration. Epre is typically a function of primary influencing...

Katipamula, S.; Claridge, D. E.

1991-01-01T23:59:59.000Z

160

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

E-Print Network [OSTI]

building itself. 4b. A Trombe wall is a south-facing heavywall. The inventor of the Trombe wall discusses some of itsOther windows illuminate Trombe walls of l~ foot concrete. (

Goldstein, David Baird

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Energy Efficient State Building Initiative  

Broader source: Energy.gov [DOE]

In June 2008, Governor Mitch Daniels issued an executive order establishing an energy efficient state buildings initiative. The order requires the Indiana Department of Administration (DOA) to...

162

SUSY GUT Model Building  

E-Print Network [OSTI]

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.

Stuart Raby

2008-08-27T23:59:59.000Z

163

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)

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.

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

164

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

E-Print Network [OSTI]

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

Maasoumy, Mehdi; Sangiovanni-Vincentelli, Alberto

2012-01-01T23:59:59.000Z

165

2008 Building Energy2008 Building Energyg gy Efficiency Standards  

E-Print Network [OSTI]

Buildings p , p g , Luminaire Power, etc. for Nonresidential Buildings 4 #12;What is New for 2008? R d l B ld What is New for 2008? R d l B ldResidential BuildingsResidential Buildings Mandatory Measures2008 Building Energy2008 Building Energyg gy Efficiency Standards g gy Efficiency Standardsfficie

166

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

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

The State Energy Program: Building Energy Efficiency and Renewable Energy Capacity in the States The State Energy Program: Building Energy Efficiency and Renewable Energy Capacity...

167

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...

168

Anomaly for Model Building  

E-Print Network [OSTI]

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.

Utpal Sarkar

2006-06-19T23:59:59.000Z

169

Review of Building Energy Saving Techniques  

E-Print Network [OSTI]

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...

Zeng, X.; Zhu, D.

2006-01-01T23:59:59.000Z

170

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

171

A Methodology to Measure Retrofit Energy Savings in Commercial Buildings  

E-Print Network [OSTI]

. 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...

Kissock, John Kelly

2008-01-16T23:59:59.000Z

172

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

E-Print Network [OSTI]

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

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

173

Building Energy-Efficient Schools  

E-Print Network [OSTI]

assistance included: · Energy audits of open and operating school facilities. · Consultation on energyBuilding Energy- Efficient Schools in New Orleans Lessons Learned #12;2 #12;3 The devastation energy efficiency in the rebuilding and renovating of New Orleans K-12 schools after Hurricanes Katrina

174

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

E-Print Network [OSTI]

% 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

Wang, Xiaorui "Ray"

175

CALIFORNIA ENERGY Large HVAC Building  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION Large HVAC Building Survey Information Database of Buildings over 100 Design of Large Commercial HVAC Systems research project, one of six research elements in the Integrated Design of Large Commercial HVAC Systems Integrated Design of Small Commercial HVAC Systems Integrated

176

Energy efficiency buildings program, FY 1980  

SciTech Connect (OSTI)

A separate abstract was prepared on research progress in each group at LBL in the energy efficient buildings program. Two separate abstracts were prepared for the Windows and Lighting Program. Abstracts prepared on other programs are: Energy Performance of Buildings; Building Ventilation and Indoor Air Quality Program; DOE-21 Building Energy Analysis; and Building Energy Data Compilation, Analysis, and Demonstration. (MCW)

Not Available

1981-05-01T23:59:59.000Z

177

Energy Signal Tool for Decision Support in Building Energy Systems  

SciTech Connect (OSTI)

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.

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

2014-12-01T23:59:59.000Z

178

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

E-Print Network [OSTI]

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

Pang, Xiufeng

2013-01-01T23:59:59.000Z

179

Energy Conservation in State Buildings  

Broader source: Energy.gov [DOE]

Maryland's policy for energy efficiency in state buildings is governed by a series of related policies adopted at different times. One of the earliest policies, adopted in 1985, established Life...

180

Energy Information Administration (EIA)- Commercial Buildings...  

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

Stock: Results from EIA's 2012 CBECS 2012 building stock results Source: U.S. Energy Information Administration, Commercial Buildings Energy Consumption Survey 2012, March...

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

Energy Department Invests $6 Million to Increase Building Energy...  

Energy Savers [EERE]

Energy Department Invests 6 Million to Increase Building Energy Code Compliance Rates Energy Department Invests 6 Million to Increase Building Energy Code Compliance Rates August...

182

Energy use in office buildings  

SciTech Connect (OSTI)

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.

None

1980-10-01T23:59:59.000Z

183

State Building Energy Standards  

Broader source: Energy.gov [DOE]

In June 2007, South Carolina enacted legislation (the Energy Independence and Sustainable Construction Act of 2007) to promote effective energy and environmental standards for construction,...

184

Revisit of Energy Use and Technologies of High Performance Buildings  

E-Print Network [OSTI]

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

Li Ph.D., Cheng

2014-01-01T23:59:59.000Z

185

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

SciTech Connect (OSTI)

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.

Not Available

2014-12-01T23:59:59.000Z

186

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

SciTech Connect (OSTI)

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.

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

2011-11-01T23:59:59.000Z

187

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

E-Print Network [OSTI]

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...

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

2006-01-01T23:59:59.000Z

188

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

E-Print Network [OSTI]

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

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

189

Building Energy-Efficiency Best Practice Policies and Policy Packages  

E-Print Network [OSTI]

A. B. (1992). Energy-Efficiency Buildings: Institutionalec.europa.eu/energy/efficiency/buildings/buildings_en.htm20). Plan on energy efficiency building to be announced,

Levine, Mark

2014-01-01T23:59:59.000Z

190

High Performance Healthcare Buildings: A Roadmap to Improved Energy Efficiency  

E-Print Network [OSTI]

Integrated design, incorporation of models from other advanced buildingsand building operators. Communication with users through integrated designintegrated design process has great potential to advance cost-effective reductions in energy intensity – often while improving building

Singer, Brett C.

2010-01-01T23:59:59.000Z

191

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 Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd: ScopeDepartment1,Energy ForBryanR BUILDINGCold

192

Commercial Building Energy Asset Score | Department of Energy  

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

Refrigerator Standards Save Consumers Billions Tools EnergyPlus Whole Building Energy Simulation OpenStudio Energy Simulation Application Suite Buildings Performance...

193

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...

194

Integrated Building Energy Systems Design Considering Storage Technologies  

E-Print Network [OSTI]

L ABORATORY Integrated Building Energy Systems Design7301 Integrated building energy systems design considering

Stadler, Michael

2009-01-01T23:59:59.000Z

195

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

E-Print Network [OSTI]

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...

Chaisuparasmikul, P.

2006-01-01T23:59:59.000Z

196

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2007 10,998 9,933 10,998 10,643 10,998through 1996) inDecadeDecade Year-0Year Jan Feb Mar AprEnergy

197

Buildings Energy Databook  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural122 Water5833 ENERGY9262

198

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

E-Print Network [OSTI]

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

Coakley, Daniel; Raftery, Paul; Keane, Marcus

2014-01-01T23:59:59.000Z

199

Understanding Building Energy Codes and Standards  

SciTech Connect (OSTI)

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.

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

2003-03-01T23:59:59.000Z

200

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

E-Print Network [OSTI]

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

Schiavon, Stefano; Lee, Kwang Ho

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Noncommutative Standard Model: Model Building  

E-Print Network [OSTI]

A noncommutative version of the usual electro-weak theory is constructed. We discuss how to overcome the two major problems: 1) although we can have noncommutative U(n) (which we denote by $U_{\\star}(n)$) gauge theory we cannot have noncommutative SU(n) and 2) the charges in noncommutative QED are quantized to just $0, \\pm 1$. We show how the problem with charge quantization, as well as with the gauge group, can be resolved by taking $U_{\\star}(3)\\times U_{\\star}(2)\\times U_{\\star}(1)$ gauge group and reducing the extra U(1) factors in an appropriate way. Then we proceed with building the noncommutative version of the standard model by specifying the proper representations for the entire particle content of the theory, the gauge bosons, the fermions and Higgs. We also present the full action for the noncommutative Standard Model (NCSM). In addition, among several peculiar features of our model, we address the {\\it inherent} CP violation and new neutrino interactions.

M. Chaichian; P. Presnajder; M. M. Sheikh-Jabbari; A. Tureanu

2003-08-12T23:59:59.000Z

202

GSA Building Energy Strategy  

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:YearRound-UpHeatMulti-Dimensional Subject: Guidance for natural gas as aGEAGNEPGREETBuilding Energy

203

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural122 Water583393411146

204

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas

205

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural

206

RADON DAUGHTER EXPOSURES IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

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(

Nero, A.V.

2010-01-01T23:59:59.000Z

207

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...

208

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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector GeneralDepartmentAUDIT REPORTOpenWendeGuo FengBoulder, CO) JumpNRELEnergyGHGsEnergyJump to:

209

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas VehicleCurrent and

210

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas VehicleCurrent

211

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas VehicleCurrent2.1

212

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas VehicleCurrent2.13.1

213

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1

214

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1Contact Us Users

215

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1Contact Us

216

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1Contact UsGlossary

217

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1Contact

218

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1ContactExplore

219

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1ContactExplore 5.5

220

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural Gas5.1ContactExplore

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural U.S. Residential5The

222

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:Year in Review: Top Five EEREDepartmentFebruaryResistanceBuilding EnergyEnergyBuildingaMarch

223

Buildings Events | 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomenthe HouseStudents Heal the LandRemarks asFactEnergy AssetTheBuilding theApril 2015

224

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...

225

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...

226

Assessment of Energy Impact of Window Technologies for Commercial Buildings  

E-Print Network [OSTI]

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

Hong, Tianzhen

2014-01-01T23:59:59.000Z

227

INDOOR AIR QUALITY MEASUREMENTS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

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

Hollowell, C.D.

2011-01-01T23:59:59.000Z

228

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

E-Print Network [OSTI]

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–

Wetter, Michael

2010-01-01T23:59:59.000Z

229

Commercial Building Energy Asset Score Features | Department...  

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

year built, climate zone, building type, year the energy Asset Score is issued Source energy use intensity and the corresponding score Potential source energy use and score...

230

Energy Department Launches Better Buildings Workforce Guidelines...  

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

energy-related jobs: Energy Auditor, Commissioning Professional, BuildingStationary Engineer, Facility Manager, and Energy Manager. These voluntary workforce guidelines will...

231

Markovian Models for Electrical Load Prediction in Smart Buildings  

E-Print Network [OSTI]

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

California at Santa Barbara, University of

232

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

E-Print Network [OSTI]

of envelope and shading elements on the total annual energy consumption for heating and cooling. As a second% of the total energy consumption in the European Union [1]. The recast of the Directive on the Energy. As the results in term of energy efficiency are evaluated at a global (or at least European) scale

Paris-Sud XI, Université de

233

Penn State Consortium for Building Energy Innovation  

Broader source: Energy.gov [DOE]

The Penn State Consortium for Building Energy Innovation (formerly the Energy Efficient Buildings Hub) develops, demonstrates, and deploys energy-saving technologies that can achieve 50% energy reduction in small- and medium-sized buildings. Its headquarters serves as a test bed for real-world integration of technology and market solutions.

234

Building Energy Audit Report for Pearl Harbor, HI  

SciTech Connect (OSTI)

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.

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

2010-09-30T23:59:59.000Z

235

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]

ESL-TR-91/12-03 ENERGY SYSTEMS LABORATORY TECHNICAL REPORT REPRINTED WITH PERMISSION Simulation of the Post-Retrofit Thermal Energy Use for the University Teaching Center (UTC) Building with the Use of Simplified System Models Srinivas Katipamula, P.... Texas 77843 (409) 845-6402. or (409) 845-3251 INTRODUCTION 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...

Katipamula, S.; Claridge, D. E.

1991-01-01T23:59:59.000Z

236

Energy-Efficient Commercial Buildings Tax Deduction  

Broader source: Energy.gov [DOE]

The federal Energy Policy Act of 2005 established a tax deduction for energy-efficient commercial buildings applicable to qualifying systems and buildings placed in service from January 1, 2006,...

237

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...

238

REDUCING ENERGY USE IN FLORIDA BUILDINGS  

E-Print Network [OSTI]

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...

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

239

Better Buildings | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehicles » Alternative FuelNewsWashingtonAuditsBetter Buildings Better

240

Commercial Building Energy Asset Score  

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:YearRound-Up fromDepartmentTieCelebrate Earth Codesthe Natural ResourcesCommercial Building Energy

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Buildings Events | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orA BRIEFAprilBudgetAbout » Building

242

Building a Water-Energy Nexus Modelling Tool for New York City.  

E-Print Network [OSTI]

?? Increasing demands for energy and water from a growing urban population challenges resource availability and infrastructure capacity in cities worldwide. Planning for infrastructure systems… (more)

Segerström, Rebecka

2011-01-01T23:59:59.000Z

243

Integrating Renewable Energy Systems in Buildings (Presentation)  

SciTech Connect (OSTI)

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

Hayter, S. J.

2011-08-01T23:59:59.000Z

244

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.

245

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

E-Print Network [OSTI]

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

Dudley, Junqiao Han

2010-01-01T23:59:59.000Z

246

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.

247

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.

248

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

249

A High-Fidelity Energy Monitoring and Feedback Architecture for Reducing Electrical Consumption in Buildings  

E-Print Network [OSTI]

will allow us to build models of energy usage aggregatedview allows us to build models of energy usage that can beus – it provides localization of the occupant; it provides a screen for visualizing energy usage

Jiang, Xiaofan

2010-01-01T23:59:59.000Z

250

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:Year in Review: Top Five EEREDepartmentFebruaryResistanceBuilding EnergyEnergyBuildingaMarchMay

251

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

E-Print Network [OSTI]

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...

Wirth, U.

2008-01-01T23:59:59.000Z

252

High Performance Healthcare Buildings: A Roadmap to Improved Energy Efficiency  

E-Print Network [OSTI]

operation with energy efficiency in building systems. X X Xoperation with energy efficiency in building systems. 10.3.energy efficiency improvements in healthcare buildings. A

Singer, Brett C.

2010-01-01T23:59:59.000Z

253

A Retrofit Tool for Improving Energy Efficiency of Commercial Buildings  

E-Print Network [OSTI]

For Energy Efficiency of Public Building -- GB 50189.communication on building energy efficiency policy in China.Improving energy efficiency in existing buildings. ASHRAE

Levine, Mark

2014-01-01T23:59:59.000Z

254

Worldwide Status of Energy Standards for Buildings - Appendices  

E-Print Network [OSTI]

Organization: Energy Efficiency Building Code (EEBC-92)to increase energy efficiency in buildings: Infonnationabout energy efficiency for buildings in: Jamaica 22.

Janda, K.B.

2008-01-01T23:59:59.000Z

255

Commercial Building Energy Asset Score Sample Report | Department...  

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

Sample Report Commercial Building Energy Asset Score Sample Report Example report showing the results of an energy asset score rating on a building Commercial Building Energy Asset...

256

Energy Efficiency Building Code for Commercial Buildings in Sri Lanka  

SciTech Connect (OSTI)

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.

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

2000-09-30T23:59:59.000Z

257

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

E-Print Network [OSTI]

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...

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

2010-01-01T23:59:59.000Z

258

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...

259

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...

260

Renewable Energy Applications for Existing Buildings: Preprint  

SciTech Connect (OSTI)

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.

Hayter, S. J.; Kandt, A.

2011-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

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

E-Print Network [OSTI]

Efficiency and Renewable Energy, Building TechnologiesEfficiency and Renewable Energy, Building TechnologiesBuilding Stock. Golden, Colorado: National Renewable Energy

Feng, Wei

2013-01-01T23:59:59.000Z

262

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

E-Print Network [OSTI]

Summer Study on Energy Efficiency in Buildings August 12,Standard for Energy Efficiency of Public Buildings. Energyfor Energy Efficiency of Residential Buildings in Hot Summer

Feng, Wei

2013-01-01T23:59:59.000Z

263

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

E-Print Network [OSTI]

This thesis documents the usefulness and accuracy of uncalibrated simulations to determine for what end-uses these simulations should be used. The study was divided into three segments 1)comparison of the accuracy of two simulation models, massless...

Ahmad, Mushtaq

2005-07-27T23:59:59.000Z

264

Intelligent Controls for Net-Zero Energy Buildings  

SciTech Connect (OSTI)

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.

Li, Haorong; Cho, Yong; Peng, Dongming

2011-10-30T23:59:59.000Z

265

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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Power BasicsGermany: EnergyPowerInformationHomer Electric Assn Inc Jump

266

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

E-Print Network [OSTI]

simulating effects of the waste heat from air?conditioning 8]). Anthropogenic waste heat (e.g. from transportation,temperature and HVAC waste heat from EnergyPlus are passed

Yaghoobian, Neda; Kleissl, Jan

2012-01-01T23:59:59.000Z

267

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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of InspectorConcentrating Solar Powerstories onFocusOski Energy LLC Place:FerrySprings, California:ElectricOpen

268

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds"OfficeTourFrom clusters to clouds From

269

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds"OfficeTourFrom clusters to clouds

270

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing ZirconiaPolicyFeasibilityFieldMinds"OfficeTourFrom clusters to cloudsFrom

271

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: Crystal structureComposite--FOR IMMEDIATEDOEFinal R eport f orFrom the

272

Building Momentum | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orA BRIEFAprilBudget FormulationCamberly HomesBuilding

273

Energy Survey and Energy Savings in an Office Building with Aid of Building Software.  

E-Print Network [OSTI]

?? Simulation is one of the best Analytical tools for Building Research .Energy Efficient Buildings are of great concern which is gaining importance steeply in… (more)

Lu, Yinghao

2008-01-01T23:59:59.000Z

274

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.

275

Building Energy Information Systems: User Case Studies  

SciTech Connect (OSTI)

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.

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

2010-03-22T23:59:59.000Z

276

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...

277

INTEGRATED ENERGY SYSTEMS: PRODUCTIVITY & BUILDING SCIENCE  

E-Print Network [OSTI]

Integrated Design of Commercial Building Ceiling Systems Integrated Design of Residential Ducting & Air FlowINTEGRATED ENERGY SYSTEMS: PRODUCTIVITY & BUILDING SCIENCE Productivity and Interior Environments Integrated Design of Large Commercial HVAC Systems Integrated Design of Small Commercial HVAC Systems

278

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...

279

Advanced Energy Retrofit Guide Retail Buildings  

SciTech Connect (OSTI)

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.

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

280

Advanced Energy Retrofit Guide Office Buildings  

SciTech Connect (OSTI)

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.

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

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Building Energy Codes Program | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious RankCombustion |Energy UsageAUDITVehiclesTankless orA BRIEFAprilBudget FormulationCamberly Homes -Building

282

2015 Building Energy Summit | 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 Fuels DataCombinedDepartment ofCareersWindProjectEnergyDepartment of4Building

283

Understanding Building Infrastructure and Building Operation through DOE Asset Score Model: Lessons Learned from a Pilot Project  

SciTech Connect (OSTI)

The U.S. Department of Energy (DOE) is developing a national voluntary energy asset score system to help building owners to evaluate the as-built physical characteristics (including building envelope, the mechanical and electrical systems) and overall building energy efficiency, independent of occupancy and operational choices. The energy asset score breaks down building energy use information by simulating building performance under typical operating and occupancy conditions for a given use type. A web-based modeling tool, the energy asset score tool facilitates the implementation of the asset score system. The tool consists of a simplified user interface built on a centralized simulation engine (EnergyPlus). It is intended to reduce both the implementation cost for the users and increase modeling standardization compared with an approach that requires users to build their own energy models. A pilot project with forty-two buildings (consisting mostly offices and schools) was conducted in 2012. This paper reports the findings. Participants were asked to collect a minimum set of building data and enter it into the asset score tool. Participants also provided their utility bills, existing ENERGY STAR scores, and previous energy audit/modeling results if available. The results from the asset score tool were compared with the building energy use data provided by the pilot participants. Three comparisons were performed. First, the actual building energy use, either from the utility bills or via ENERGY STAR Portfolio Manager, was compared with the modeled energy use. It was intended to examine how well the energy asset score represents a building’s system efficiencies, and how well it is correlated to a building’s actual energy consumption. Second, calibrated building energy models (where they exist) were used to examine any discrepancies between the asset score model and the pilot participant buildings’ [known] energy use pattern. This comparison examined the end use breakdowns and more detailed time series data. Third, ASHRAE 90.1 prototype buildings were also used as an industry standard modeling approach to test the accuracy level of the asset score tool. Our analysis showed that the asset score tool, which uses simplified building simulation, could provide results comparable to a more detailed energy model. The buildings’ as-built efficiency can be reflected in the energy asset score. An analysis between the modeled energy use through the asset score tool and the actual energy use from the utility bills can further inform building owners about the effectiveness of their building’s operation and maintenance.

Wang, Na; Goel, Supriya; Gorrissen, Willy J.; Makhmalbaf, Atefe

2013-06-24T23:59:59.000Z

284

Energy Efficiency Evaluation and Planning for Existing Buildings...  

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

Program Areas Sustainable Buildings & Campuses Energy Efficiency Evaluation and Planning for Existing Buildings Energy Efficiency Evaluation and Planning for Existing...

285

Assessment of Energy Impact of Window Technologies for Commercial Buildings  

E-Print Network [OSTI]

average commercial buildings site energy usage of 91 kBtu/commercial buildings, even though the average Energy Usage

Hong, Tianzhen

2014-01-01T23:59:59.000Z

286

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

E-Print Network [OSTI]

from energy conserving retrofits. The regression modeling approach is accurate and reliable if several months of data (more than six months) are used to develop the model. If such is not the case, the regression models can, unfortunately, lead...

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

1994-01-01T23:59:59.000Z

287

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

E-Print Network [OSTI]

· 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

Hutyra, Lucy R.

288

Energy Efficiency Trends in Residential and Commercial Buildings...  

Energy Savers [EERE]

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

289

Worldwide Status of Energy Standards for Buildings - Appendices  

E-Print Network [OSTI]

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

Janda, K.B.

2008-01-01T23:59:59.000Z

290

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...

291

Energy Management Systems Package for Small Commercial Buildings...  

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

Energy Management Systems Package for Small Commercial Buildings Energy Management Systems Package for Small Commercial Buildings Commercial Buildings Integration Project for the...

292

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

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

The State Energy Program: Building Energy Efficiency and Renewable Energy Capacity in the States Prepared for Oak Ridge National Laboratory June 30, 2010 Submitted by TecMarket...

293

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

E-Print Network [OSTI]

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...

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

2012-01-01T23:59:59.000Z

294

Building statistical models by visualization  

E-Print Network [OSTI]

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

Minka,Tom

295

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

SciTech Connect (OSTI)

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).

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

2010-10-01T23:59:59.000Z

296

DEVELOPMENT OF A FLEXIBLE, MULTIZONE, MULTIFAMILY BUILDING SIMULATION MODEL  

SciTech Connect (OSTI)

Weatherization of multifamily buildings is gaining increased attention in the U.S. Available energy audit tools for multifamily buildings were found to need desirable improvements. On the wish list of field experts for enhanced features was the basic ability to model multizone buildings (i.e., one thermal zone per dwelling unit) with simplified user inputs, which allows a better analysis of decentralized and centralized HVAC and domestic hot water systems of multifamily buildings without having to create detailed building models. To address the desired capabilities, development of an enhanced energy audit tool was begun in 2011. The tool is a strategically structured, flexible, one-zone-per-unit, DOE-2.1e model coupled with a simplified user interface to model small to large multifamily buildings with decentralized or centralized systems and associated energy measures. This paper describes the modeling concept and its implementation.

Malhotra, Mini [ORNL] [ORNL; Im, Piljae [ORNL] [ORNL

2012-01-01T23:59:59.000Z

297

Handbook of energy use for building construction  

SciTech Connect (OSTI)

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.

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

1980-03-01T23:59:59.000Z

298

Analysis of the Chinese Market for Building Energy Efficiency  

SciTech Connect (OSTI)

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.

Yu, Sha; Evans, Meredydd; Shi, Qing

2014-03-20T23:59:59.000Z

299

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

E-Print Network [OSTI]

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 ...

Engblom, Lisa A. (Lisa Allison)

2006-01-01T23:59:59.000Z

300

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 Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd:June 2015 < prev nextInvestigation |Mark

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Autotune Building Energy Models  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-Up fromDepartmentTie Ltd: Scope ChangeL-01-06 AuditAugust 5,ReDevelopments

302

UNDERSTANDING FLOW OF ENERGY IN BUILDINGS USING MODAL ANALYSIS METHODOLOGY  

SciTech Connect (OSTI)

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.

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

2013-07-01T23:59:59.000Z

303

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

Energy Savers [EERE]

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

304

BUILDING COSMOLOGICAL MODELS VIA NONCOMMUTATIVE GEOMETRY MATILDE MARCOLLI  

E-Print Network [OSTI]

of theoretical high energy physics models that are capable of producing a range of predictions, bothBUILDING COSMOLOGICAL MODELS VIA NONCOMMUTATIVE GEOMETRY MATILDE MARCOLLI and cosmology to formulate testable predictions that can be confronted with the data. While model building

Marcolli, Matilde

306

Better Buildings Neighborhood Program | Department of Energy  

Energy Savers [EERE]

helped more than 40 competitively selected state and local governments develop sustainable programs to upgrade the energy efficiency of homes and buildings. These leading...

307

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...

308

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

E-Print Network [OSTI]

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

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

309

Building Energy Monitoring and Analysis  

E-Print Network [OSTI]

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

Hong, Tianzhen

2014-01-01T23:59:59.000Z

310

Energy and Buildings 42 (2010) 16371646 Contents lists available at ScienceDirect  

E-Print Network [OSTI]

and Buildings journal homepage: www.elsevier.com/locate/enbuild A decision tree method for building energy of a building energy demand predictive model based on the decision tree method. This method is able to classify of decision tree method can classify and predict building energy demand levels accurately (93% for training

Fung, Benjamin C. M.

311

Midwest Building Energy Program | 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 on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Office of Inspector General Office0-72.pdfGeorgeDoesn't32 MasterAcquisiti ----Energy3-SE-1505)Midwest Building

312

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

E-Print Network [OSTI]

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

Lehrer, David; Vasudev, Janani

2011-01-01T23:59:59.000Z

313

Building Energy Efficiency in Rural China  

SciTech Connect (OSTI)

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.

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

2014-04-01T23:59:59.000Z

314

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

E-Print Network [OSTI]

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 ...

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

2004-01-01T23:59:59.000Z

315

Energy-consumption modelling  

SciTech Connect (OSTI)

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.

Reiter, E.R.

1980-01-01T23:59:59.000Z

316

NASA Net Zero Energy Buildings Roadmap  

SciTech Connect (OSTI)

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.

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

2014-10-01T23:59:59.000Z

317

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

E-Print Network [OSTI]

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

Wang, Xiaorui "Ray"

318

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

SciTech Connect (OSTI)

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.

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

2014-04-01T23:59:59.000Z

319

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

SciTech Connect (OSTI)

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.

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

2010-08-01T23:59:59.000Z

320

Building Energy Audit Report, for Hickam AFB, HI  

SciTech Connect (OSTI)

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.

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

2010-09-30T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

Energy Efficiency in Buildings- the Utilities View  

E-Print Network [OSTI]

PAGE 1 Energy Efficiency in Buildings - the Utilities View U. K?nig RWE Energy AG The energy to lead ESL-IC-08-10-27 Proceedings of the Eighth International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 RWE... International Conference for Enhanced Building Operations, Berlin, Germany, October 20-22, 2008 RWE Energy / Energieeffizienz bei Immobilien / U. K?nig / ICEBO '08 SEITE 3 RWE ? One of the five leading Energy Companies in Europe > Nr 1 producer of electricity...

Konig, U.

322

Energy Information Handbook: Applications for Energy-Efficient Building Operations  

SciTech Connect (OSTI)

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.

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

323

Building energy retrofitting: from energy audit to renovation proposals.  

E-Print Network [OSTI]

?? Abstract The built environment is responsible for 40% of the global energy demand (1). To reduce building energy consumption, regulations are enhancing the appeal… (more)

Clément, Paul Francois

2012-01-01T23:59:59.000Z

324

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

325

Better Buildings Neighborhood Program Business Models Guide:...  

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

Guide: Utility Program Administrator Market Better Buildings Neighborhood Program Business Models Guide: Utility Program Administrator Market Utility program administrator market...

326

Energy Efficiency Standards for Public Buildings  

Broader source: Energy.gov [DOE]

In May 2008, Idaho enacted HB 422 (the Energy Efficient State Building Act) to reduce the amount of energy consumed by state facilities. To the extent feasible and practical, all major facility...

327

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...

328

Commercial Building Energy Efficiency Education Project  

SciTech Connect (OSTI)

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.

None

2013-01-13T23:59:59.000Z

329

Energy Efficient Retrofits and Green Building Practices  

E-Print Network [OSTI]

. Moreover, the increase in demand is also causing rise in pollution levels. Therefore, the subject of energy efficient retrofits and green building practices is becoming increasingly important. Based on the latest walkthrough energy audit it is proven...

Rahman, M.

2010-01-01T23:59:59.000Z

330

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

SciTech Connect (OSTI)

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.

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

2015-01-01T23:59:59.000Z

331

Information Modelling for Sustainable Buildings Matija Knig  

E-Print Network [OSTI]

Information Modelling for Sustainable Buildings Matija König Department of Construction Informatics- tainable buildings, addressing the needs of the various stakehold- ers. A Sustainable Building Profile (SBP, sustainable building profile 1. INTRODUCTION Currently, information, knowledge and data related to various as

Dustdar, Schahram

332

Building Energy Monitoring and Analysis  

E-Print Network [OSTI]

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

Hong, Tianzhen

2014-01-01T23:59:59.000Z

333

Modeling of Residential Buildings and Heating Systems  

E-Print Network [OSTI]

-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...

Masy, G.; Lebrun, J.

2004-01-01T23:59:59.000Z

334

The Structure of Tradeoffs in Model Building  

E-Print Network [OSTI]

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

Weisberg, Michael

335

About the Buildings Performance Database | Department of Energy  

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

Refrigerator Standards Save Consumers Billions Tools EnergyPlus Whole Building Energy Simulation OpenStudio Energy Simulation Application Suite Buildings Performance...

336

Energy Department Announces $5 Million for Residential Building...  

Office of Environmental Management (EM)

Announces 5 Million for Residential Building Energy Efficiency Research and University-Industry Partnerships Energy Department Announces 5 Million for Residential Building Energy...

337

BuildingSync File Download | Department of Energy  

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

energy audit data, developed using the standard energy data terminology defined in the Building Energy Data Exchange Specification (BEDES). Learn more about BuildingSync or view...

338

Building Energy-Efficiency Best Practice Policies and Policy Packages  

E-Print Network [OSTI]

the Building Energy Efficiency Market in India - Lessonson the high-energy-performance market, most constructionand Market-based Mechanisms to Improve Building Energy

Levine, Mark

2014-01-01T23:59:59.000Z

339

The Cost of Enforcing Building Energy Codes: Phase 1  

E-Print Network [OSTI]

the Community Energy Challenge in Illinois. Washington, DC:Improving Energy Code Compliance in Illinois's Buildings.Improving Energy Code Compliance in Illinois's Buildings.

Williams, Alison

2013-01-01T23:59:59.000Z

340

Thermal Energy Storage for Cooling of Commercial Buildings  

E-Print Network [OSTI]

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

Akbari, H.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

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...

342

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....

343

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...

344

Energy conservation in commercial and residential buildings  

SciTech Connect (OSTI)

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).

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

1982-01-01T23:59:59.000Z

345

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...

346

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...

347

A Buildings Module for the Stochastic Energy Deployment System  

SciTech Connect (OSTI)

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.

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

2008-05-15T23:59:59.000Z

348

A View on Future Building System Modeling and Simulation  

SciTech Connect (OSTI)

This chapter presents what a future environment for building system modeling and simulation may look like. As buildings continue to require increased performance and better comfort, their energy and control systems are becoming more integrated and complex. We therefore focus in this chapter on the modeling, simulation and analysis of building energy and control systems. Such systems can be classified as heterogeneous systems because they involve multiple domains, such as thermodynamics, fluid dynamics, heat and mass transfer, electrical systems, control systems and communication systems. Also, they typically involve multiple temporal and spatial scales, and their evolution can be described by coupled differential equations, discrete equations and events. Modeling and simulating such systems requires a higher level of abstraction and modularisation to manage the increased complexity compared to what is used in today's building simulation programs. Therefore, the trend towards more integrated building systems is likely to be a driving force for changing the status quo of today's building simulation programs. Thischapter discusses evolving modeling requirements and outlines a path toward a future environment for modeling and simulation of heterogeneous building systems.A range of topics that would require many additional pages of discussion has been omitted. Examples include computational fluid dynamics for air and particle flow in and around buildings, people movement, daylight simulation, uncertainty propagation and optimisation methods for building design and controls. For different discussions and perspectives on the future of building modeling and simulation, we refer to Sahlin (2000), Augenbroe (2001) and Malkawi and Augenbroe (2004).

Wetter, Michael

2011-04-01T23:59:59.000Z

349

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

E-Print Network [OSTI]

3 Commercial and Residential Building Site Energy Usagecommercial and residential prototype buildings discussed in the previous section is simulated in EnergyPlus (DOE, 2011). The energy usage

Feng, Wei

2013-01-01T23:59:59.000Z

350

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]

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

Benenson, P.

2011-01-01T23:59:59.000Z

351

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

E-Print Network [OSTI]

and Renewable Energy, Office of Building Technology,and Renewable Energy, Office of Building Technology,and renewable energy improvements to the building. One of

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

2006-01-01T23:59:59.000Z

352

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

E-Print Network [OSTI]

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

Sonderegger, R. C.

2011-01-01T23:59:59.000Z

353

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

E-Print Network [OSTI]

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

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

2006-01-01T23:59:59.000Z

354

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...

355

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...

356

Buildings Events | Department of Energy  

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

December 2014 < prev next > Sun Mon Tue Wed Thu Fri Sat 30 1 2 3 4 5 6 BENEFIT Funding Opportunity - Webinar 2 3:00PM to 4:00PM EST Buildings of the Future Research Project Launch...

357

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

358

PV Integration by Building Energy Management System  

E-Print Network [OSTI]

. However, to validate global control algorithms, a simulator capable of interoperating with energy[kWh]. Econs (k) Total energy consumed by the load [kWh]. E (i, k) Energy consumed by the service i duringPV Integration by Building Energy Management System Rim.Missaoui¹, Ghaith.Warkozek¹, Seddik. Bacha

Boyer, Edmond

359

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

360

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

E-Print Network [OSTI]

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

Coffey, Brian

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Economic Energy Savings Potential in Federal Buildings  

SciTech Connect (OSTI)

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.

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

2000-09-04T23:59:59.000Z

362

Design for Energy Efficiency in Residential Buildings  

E-Print Network [OSTI]

-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...

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

2006-01-01T23:59:59.000Z

363

The Cost of Enforcing Building Energy Codes: Phase 1  

E-Print Network [OSTI]

Summer Study on Energy Efficiency in Buildings (pp. 5-387 -Summer Study on Energy Efficiency in Buildings. pp. 8-249Summer Study on Energy Efficiency in Buildings. pp. 4-275 -

Williams, Alison

2013-01-01T23:59:59.000Z

364

Gauging Improvements in Urban Building Energy Policy in India  

E-Print Network [OSTI]

Summer Study on Energy Efficiency in Buildings, 4:351–366.Summer Study on Energy Efficiency in Buildings, 8:209–224.Summer Study on Energy Efficiency in Buildings, 10-196– 212.

Williams, Christopher

2013-01-01T23:59:59.000Z

365

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

366

Buildings Energy Program annual report, FY 1991  

SciTech Connect (OSTI)

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.

Secrest, T.J.

1992-05-01T23:59:59.000Z

367

PROGRESS IN ENERGY EFFICIENT BUILDINGS  

E-Print Network [OSTI]

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

Wall, L.W.

2009-01-01T23:59:59.000Z

368

Green Buildings in Green Cities: Integrating Energy Efficiency into the Real Estate Industry  

E-Print Network [OSTI]

Efficiency and Renewable Energy, Building TechnologiesEfficiency and Renewable Energy, Building TechnologiesEfficiency and Renewable Energy, Building Technologies

Bardhan, Ashok; Kroll, Cynthia A.

2011-01-01T23:59:59.000Z

369

Control and Room Temperature Optimization of Energy Efficient Buildings  

SciTech Connect (OSTI)

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.

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

2012-01-01T23:59:59.000Z

370

Sault Tribe Building Efficiency Energy Audits  

SciTech Connect (OSTI)

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.

Holt, Jeffrey W.

2013-09-26T23:59:59.000Z

371

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...

372

Energy Efficiency Program for State Government Buildings  

Broader source: Energy.gov [DOE]

In April 2008, Kentucky enacted legislation ([http://www.lrc.ky.gov/record/08rs/hb2.htm HB 2]) to improve the energy performance of all state-owned and state-leased buildings. The legislation...

373

Green Energy Technology in Public Buildings  

Broader source: Energy.gov [DOE]

Enacted in June 2007, [http://www.leg.state.or.us/07reg/measpdf/hb2600.dir/hb2620.en.pdf House Bill 2620] introduced a unique requirement for installing solar energy systems on public buildings. In...

374

BetterBuildings Financing Energy Efficiency Retrofits in the...  

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

BetterBuildings Financing Energy Efficiency Retrofits in the Commercial Sector - Part 1 BetterBuildings Financing Energy Efficiency Retrofits in the Commercial Sector - Part 1...

375

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...

376

Apply: Building Energy Efficiency Frontiers and Incubator Technologies...  

Energy Savers [EERE]

Apply: Building Energy Efficiency Frontiers and Incubator Technologies (BENEFIT) - 2014 (DE-FOA-0001027) Apply: Building Energy Efficiency Frontiers and Incubator Technologies...

377

Energy Department's New Buildings Solution Center Shares Proven...  

Office of Environmental Management (EM)

Department's New Buildings Solution Center Shares Proven Strategies for Energy Efficiency Programs Energy Department's New Buildings Solution Center Shares Proven Strategies for...

378

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...

379

Commercial Buildings Energy Consumption Survey 2003 - Detailed Tables  

Reports and Publications (EIA)

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

2008-01-01T23:59:59.000Z

380

Better Buildings Webinar: Making Utility Energy Efficiency Funds...  

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

of Energy's Better Buildings will host a webinar on innovative collaborations with utilities to bring big energy savings to their building portfolios and help reduce utility...

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Gauging Improvements in Urban Building Energy Policy in India  

E-Print Network [OSTI]

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

Williams, Christopher

2013-01-01T23:59:59.000Z

382

Commercial Building Energy Asset Score Sample Report | Department...  

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

Score Sample Report Commercial Building Energy Asset Score Sample Report Example report showing the results of an energy asset score rating on a building energyassetscoresample...

383

Making Buildings Better: Indie Energy & the Geothermal Breakthrough...  

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

Making Buildings Better: Indie Energy & the Geothermal Breakthrough Making Buildings Better: Indie Energy & the Geothermal Breakthrough March 24, 2011 - 4:26pm Addthis April Saylor...

384

Energy Savings Through Improved Mechanical Systems and Building...  

Office of Environmental Management (EM)

Energy Savings Through Improved Mechanical Systems and Building Envelope Technologies (DE-FOA-0000621) Energy Savings Through Improved Mechanical Systems and Building Envelope...

385

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....

386

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...

387

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...

388

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,...

389

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...

390

Modeling Building Thermal Response to HVAC Zoning Virginia Smith  

E-Print Network [OSTI]

Modeling Building Thermal Response to HVAC Zoning Virginia Smith Department of Computer Science HVAC systems account for 38% of building energy usage. Studies have indicated at least 5-15% waste due to unoccu- pied spaces being conditioned. Our goal is to minimize this waste by retrofitting HVAC systems

Whitehouse, Kamin

391

Buildings Technologies Deployment | Clean energy | ORNL  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScienceCareersEnergy,Services »"Building theBuildingBuilding

392

Buildings Energy Data Book: 9.4 High Performance Buildings  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural12 Building

393

Discovering unexpected information using a building energy visualization tool.  

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

394

Country Report on Building Energy Codes in India  

SciTech Connect (OSTI)

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.

Evans, Meredydd; Shui, Bin; Somasundaram, Sriram

2009-04-07T23:59:59.000Z

395

Country Report on Building Energy Codes in Canada  

SciTech Connect (OSTI)

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.

Shui, Bin; Evans, Meredydd

2009-04-06T23:59:59.000Z

396

Country Report on Building Energy Codes in China  

SciTech Connect (OSTI)

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.

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

2009-04-15T23:59:59.000Z

397

Country Report on Building Energy Codes in Australia  

SciTech Connect (OSTI)

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.

Shui, Bin; Evans, Meredydd; Somasundaram, Sriram

2009-04-02T23:59:59.000Z

398

Country Report on Building Energy Codes in Japan  

SciTech Connect (OSTI)

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.

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

2009-04-15T23:59:59.000Z

399

Country Report on Building Energy Codes in Korea  

SciTech Connect (OSTI)

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.

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

2009-04-17T23:59:59.000Z

400

Country Report on Building Energy Codes in the United States  

SciTech Connect (OSTI)

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.

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

2009-04-30T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

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:Year in Review: Top Five EEREDepartmentFebruaryResistanceBuilding

402

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

E-Print Network [OSTI]

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

Garbesi, Karina

2012-01-01T23:59:59.000Z

403

Energy consumption of building 39  

E-Print Network [OSTI]

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

Hopeman, Lisa Maria

2007-01-01T23:59:59.000Z

404

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

E-Print Network [OSTI]

and energy use intensity by fuel type and end use), based on historical data and user-defined scenarios for future projections.

Coffey, Brian

2010-01-01T23:59:59.000Z

405

Technologies for Energy Efficient Buildings  

E-Print Network [OSTI]

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

406

Duct Thermal Performance Models for Large Commercial Buildings  

E-Print Network [OSTI]

Energy Technologies Division Indoor Environment Department Lawrence Berkeley National Laboratory Berkeley Secretary for Energy Efficiency and Renewable Energy, Building Technologies Program, of the U.S. Department) for his assistance in defining the duct surface heat transfer models described in the body of this report

407

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:YearRound-Up fromDepartmentTie Ltd:June 2015 < prevBuilding the Distribution Grid ofFebruary

408

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:YearRound-Up fromDepartmentTie Ltd:June 2015 < prevBuilding the Distribution Grid ofFebruaryJune

409

NEEP Building Energy Codes Project  

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 RankCombustion | Department ofT ib l L d F S i DOEToward a PeacefulDrivingItNational CouncilNEEP Building

410

Building Technologies Office | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of Energy Power Systems EngineeringDepartment of4 Federal6Clean Energy |-FormerofBuilding RemovalBuilding

411

Integrating energy expertise into building design  

SciTech Connect (OSTI)

Most commercial buildings designed to today will use more energy to operate, and cost more to design and construct than necessary. Significant energy savings cold be achieved with little or not increase in first cost if energy-efficient design technologies were used. Research into integration of building systems indicates that by considering energy performance early in the design process, energy savings between 30% and 50% of current energy consumption rates are technically and economically feasible. However, most building design teams do not adequately consider the energy impacts of design decisions to achieve these savings. The US Department of Energy has initiated a project, led by Pacific Northwest Laboratory, to develop advanced computer-based technologies that will help designers take advantage of these large potential energy savings. The objective of this work is to develop automated, intelligent, energy design assistance that can be integrated into computer aided design systems of the future. This paper examines the need for this technology by identifying the impediments to energy-efficient design, identifies essential and desirable features of such systems, presents the concept under development in this effort, illustrates how energy expertise might be incorporated into design, and discusses the importance of an integrated approach. 8 refs., 1 fig.

Brambley, M.R.; Stratton, R.C. (Pacific Northwest Lab., Richland, WA (USA)); Bailey, M.L. (USDOE Assistant Secretary for Conservation and Renewable Energy, Washington, DC (USA). Office of the Deputy Assistant Secretary for Building Technologies)

1990-08-01T23:59:59.000Z

412

Capacity Building in Wind Energy for PICs  

E-Print Network [OSTI]

indicates that significant wind energy potential exists. · A monitoring project showed that in Rarotonga system. · About 30 other islands could have potential for grid connected wind turbines in the 100-1000 k1 Capacity Building in Wind Energy for PICs Presentation of the project Regional Workshop Suva

413

Energy-Aware Meeting Scheduling Algorithms for Smart Buildings  

E-Print Network [OSTI]

The increasing worldwide concern over the energy con- sumption of commercial buildings calls for new approaches; Build- ing energy efficiency 1 Introduction The energy consumption of commercial buildings is of growingEnergy-Aware Meeting Scheduling Algorithms for Smart Buildings Abhinandan Majumdar Computer Systems

Albonesi, David H.

414

DOE Commercial Building Energy Asset Score Web Service (Draft)  

SciTech Connect (OSTI)

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

Elliott, Geoffrey; Wang, Na

2013-09-30T23:59:59.000Z

415

Renewable energy in commercial buildings  

E-Print Network [OSTI]

è la geotermia. Le energie eolica e solare si attestanospecialmente quelle solari ed eolica, si presentano inproduzione dell'energia eolica. L’ANALISI DEL CICLO DI VITA

Scarpa, Massimiliano; Schiavon, Stefano; Zecchin, Roberto

2008-01-01T23:59:59.000Z

416

ENERGY UTILIZATION ANALYSIS OF BUILDINGS  

E-Print Network [OSTI]

Solar Energy, Cairo, Egypt, June 16 - 22, 1978 RECEIVED LBL7826 LAWRENCE BEPXVlfV LABORATORY JUN 141978 LIBRARY AND DOCUMENTS SECTION TWO-WEEK LOAN

Lokmanhekim, M.

2011-01-01T23:59:59.000Z

417

Evolutionary Tuning of Building Models to Monthly Electrical Consumption  

SciTech Connect (OSTI)

Building energy models of existing buildings are unreliable unless calibrated so they correlate well with actual energy usage. Calibrating models is costly because it is currently an art which requires significant manual effort by an experienced and skilled professional. An automated methodology could significantly decrease this cost and facilitate greater adoption of energy simulation capabilities into the marketplace. The Autotune project is a novel methodology which leverages supercomputing, large databases of simulation data, and machine learning to allow automatic calibration of simulations to match measured experimental data on commodity hardware. This paper shares initial results from the automated methodology applied to the calibration of building energy models (BEM) for EnergyPlus (E+) to reproduce measured monthly electrical data.

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

2013-01-01T23:59:59.000Z

418

Buildings Events | Department of Energy  

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

the DOE Zero Energy Ready Home Program 12:00PM to 1:00PM EDT 21 22 23 24 25 26 27 Alaska Rural Energy Conference 12:00PM to 9:00PM AKDT US DOE Housing Innovation Awards 11:30AM to...

419

Energy Savings in Industrial Buildings  

E-Print Network [OSTI]

The industrial sector accounts for more than one-third of total energy use in the United States and emits 28.7 percent of the country’s greenhouse gases. Energy use in the industrial sector is largely for steam and process heating systems...

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

420

An in-depth Analysis of Space Heating Energy Use in Office Buildings  

E-Print Network [OSTI]

load reduction for a net zero energy building, ACEEE Summergreen building or net zero energy building goals, which

Lin, Hung-Wen

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

Building Operator Certification: Improving Commercial Building Energy Efficiency Through Operator Training and Certification  

E-Print Network [OSTI]

Building Operator Certification (BOC) is a competency-based certification for building operators designed to improve the energy efficiency of commercial buildings. Operators earn certification by attending training sessions and completing project...

Putnam, C.; Mulak, A.

2001-01-01T23:59:59.000Z

422

Buildings Energy Data Book: 9.4 High Performance Buildings  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural12 Building Performance31

423

Buildings Energy Data Book: 9.4 High Performance Buildings  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural12 Building4 Case Study,

424

Buildings Energy Data Book: 9.4 High Performance Buildings  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural12 Building4 Case Study,5

425

Building Energy-Efficiency Best Practice Policies and Policy Packages  

E-Print Network [OSTI]

in China. Vienna: Renewable Energy & Energy EfficiencyY. , & Zeng, D. (2011). China Renewable Energy Architecture155 Building-Integrated Renewable Energy

Levine, Mark

2014-01-01T23:59:59.000Z

426

Commercial 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOfCoal_Budget_Fact_Sheet.pdf More DocumentsAt an estimated cost of $38

427

Energy Efficient Industrial Building Design  

E-Print Network [OSTI]

" or precooled air concept of ventilation, with a high temperature hot-water/chilled-water changeover piping system. Extensive energy recovery systems would be provided for production equipment and oil mist control would be by local captive systems, rather...

Holness, G. V. R.

1983-01-01T23:59:59.000Z

428

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

E-Print Network [OSTI]

in the LCA of low energy buildingsEnergy and Buildingsin the LCA of low energy buildingsEnergy and Buildingsof conventional and low-energy buildings: A review article,”

Aden, Nathaniel

2010-01-01T23:59:59.000Z

429

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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth (AOD)ProductssondeadjustsondeadjustAboutScienceCareersEnergy,Services » PPPOAmerica »of

430

A Hybrid Model and MIMO Control for Intelligent Buildings Temperature  

E-Print Network [OSTI]

to effectively handle the discrete and nonlinear perturbations. Keywords: Energy applications; Hybrid modeling and the resulting system is described as a hybrid state-space model. The distributed sensing capabilities associatedA Hybrid Model and MIMO Control for Intelligent Buildings Temperature Regulation over WSN Emmanuel

Boyer, Edmond

431

A Model for Evaluation of Life-Cycle Energy Savings of Occupancy Sensors for Control of Lighting and Ventilation in Office Buildings  

E-Print Network [OSTI]

Lighting and ventilation represent the majority of the air conditioning loads in office buildings in hot humid climates. Use of motion sensors is one way to minimize the energy used for these loads. This paper describes the methods used...

Degelman, L. O.

2000-01-01T23:59:59.000Z

432

A Meta-Analysis of Energy Savings from Lighting Controls in Commercial Buildings  

E-Print Network [OSTI]

Efficiency and Renewable Energy, Building TechnologiesEfficiency and Renewable Energy, Building Technologies

Williams, Alison

2012-01-01T23:59:59.000Z

433

Quantifying National Energy Savings Potential of Lighting Controls in Commercial Buildings  

E-Print Network [OSTI]

Efficiency and Renewable Energy, Building TechnologiesEfficiency and Renewable Energy, Building Technologies

Williams, Alison

2013-01-01T23:59:59.000Z

434

Duct thermal performance models for large commercial buildings  

SciTech Connect (OSTI)

Despite the potential for significant energy savings by reducing duct leakage or other thermal losses from duct systems in large commercial buildings, California Title 24 has no provisions to credit energy-efficient duct systems in these buildings. A substantial reason is the lack of readily available simulation tools to demonstrate the energy-saving benefits associated with efficient duct systems in large commercial buildings. The overall goal of the Efficient Distribution Systems (EDS) project within the PIER High Performance Commercial Building Systems Program is to bridge the gaps in current duct thermal performance modeling capabilities, and to expand our understanding of duct thermal performance in California large commercial buildings. As steps toward this goal, our strategy in the EDS project involves two parts: (1) developing a whole-building energy simulation approach for analyzing duct thermal performance in large commercial buildings, and (2) using the tool to identify the energy impacts of duct leakage in California large commercial buildings, in support of future recommendations to address duct performance in the Title 24 Energy Efficiency Standards for Nonresidential Buildings. The specific technical objectives for the EDS project were to: (1) Identify a near-term whole-building energy simulation approach that can be used in the impacts analysis task of this project (see Objective 3), with little or no modification. A secondary objective is to recommend how to proceed with long-term development of an improved compliance tool for Title 24 that addresses duct thermal performance. (2) Develop an Alternative Calculation Method (ACM) change proposal to include a new metric for thermal distribution system efficiency in the reporting requirements for the 2005 Title 24 Standards. The metric will facilitate future comparisons of different system types using a common ''yardstick''. (3) Using the selected near-term simulation approach, assess the impacts of duct system improvements in California large commercial buildings, over a range of building vintages and climates. This assessment will provide a solid foundation for future efforts that address the energy efficiency of large commercial duct systems in Title 24. This report describes our work to address Objective 1, which includes a review of past modeling efforts related to duct thermal performance, and recommends near- and long-term modeling approaches for analyzing duct thermal performance in large commercial buildings.

Wray, Craig P.

2003-10-01T23:59:59.000Z

435

SOLAR MODELLING OF COMMERCIAL BUILDINGS Robert Amor, Michael Donn and Ian van der Werff  

E-Print Network [OSTI]

SOLAR MODELLING OF COMMERCIAL BUILDINGS Robert Amor, Michael Donn and Ian van der Werff Energy of modelling the thermal response of buildings. There have been two major obstacles precluding these programs of the research was: "to develop two energy thermal simulation programs as design tools for New Zealand buildings

Amor, Robert

436

Sustainable Energy Future in China's Building Sector  

E-Print Network [OSTI]

, The Netherlands and Finland (11W/m²). Heating and hot water consumption represent 2/3 of energy demand in buildings in China. The thermal performance and heating system efficiency need to be improved dramatically in order to contain the soaring... Efficiency Standard for New Residential Buildings in 1995, the average energy consumption for heating in China is about 90~100kWh/m²a 3 which is still almost twice of that in Sweden, Denmark, The Netherlands and Finland (40~50KWh/m²a). Furthermore...

Li, J.

2007-01-01T23:59:59.000Z

437

Energy-Efficient Building HVAC Control Using Hybrid System LBMPC  

E-Print Network [OSTI]

Improving the energy-efficiency of heating, ventilation, and air-conditioning (HVAC) systems has the potential to realize large economic and societal benefits. This paper concerns the system identification of a hybrid system model of a building-wide HVAC system and its subsequent control using a hybrid system formulation of learning-based model predictive control (LBMPC). Here, the learning refers to model updates to the hybrid system model that incorporate the heating effects due to occupancy, solar effects, outside air temperature (OAT), and equipment, in addition to integrator dynamics inherently present in low-level control. Though we make significant modeling simplifications, our corresponding controller that uses this model is able to experimentally achieve a large reduction in energy usage without any degradations in occupant comfort. It is in this way that we justify the modeling simplifications that we have made. We conclude by presenting results from experiments on our building HVAC testbed, which s...

Aswani, Anil; Taneja, Jay; Krioukov, Andrew; Culler, David; Tomlin, Claire

2012-01-01T23:59:59.000Z

438

Control of Greenhouse Gas Emissions by Optimal DER Technology Investment and Energy Management in Zero-Net-Energy Buildings  

E-Print Network [OSTI]

and Energy Management in Zero-Net-Energy Buildings Michaeland Energy Management in Zero-Net-Energy Buildings 1 Michaelgoal of achieving zero-net-energy commercial buildings (

Stadler, Michael

2010-01-01T23:59:59.000Z

439

Department of Energy Completes Demolition of K-33 Building -...  

Office of Environmental Management (EM)

Completes Demolition of K-33 Building - Largest Completed Demo Project in Oak Ridge History Department of Energy Completes Demolition of K-33 Building - Largest Completed Demo...

440

Energy-Efficient Building Standards for State Facilities  

Broader source: Energy.gov [DOE]

Via Executive Order 27, Maine requires that construction or renovation of state buildings must incorporate "green building" standards that would achieve "significant" energy efficiency and...

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Commercial Building Energy Asset Score 2013 Pilot | Department...  

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

understanding of the following: Time requirements for collecting and entering data How energy use intensity (EUI) estimates of a wide range of buildings and building types vary...

442

Energy and Commerce Departments Announce New Centers for Building...  

Office of Environmental Management (EM)

Commerce Departments Announce New Centers for Building Operations Excellence Energy and Commerce Departments Announce New Centers for Building Operations Excellence June 19, 2012 -...

443

Building America Best Practices Series: Volume 12. EnergyRenovations...  

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

Building America Best Practices Series: Volume 12. Energy Renovations-Insulation: A Guide for Contractors to Share With Homeowners Building America Best Practices Series: Volume...

444

Energy Department Launches Virtual Hackathon to Build the Next...  

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

Launches Virtual Hackathon to Build the Next Big Solar Software Solutions Energy Department Launches Virtual Hackathon to Build the Next Big Solar Software Solutions February 20,...

445

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

SciTech Connect (OSTI)

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

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

2005-03-04T23:59:59.000Z

446

Building Technologies Program | Clean Energy | ORNL  

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

Building Technologies Program SHARE Building Technologies Program The Building Technologies Program Office administratively facilitates the integration of ORNL research across...

447

REDESIGN OF HVAC SYSTEM TO IMPROVE ENERGY EFFICIENCY OF EDUCATIONAL BUILDING.  

E-Print Network [OSTI]

??An energy modeling software was used to analyze the current building configuration and simulations were performed in an attempt to redesign the current HVAC system… (more)

Hagene, Brian Matthew

2012-01-01T23:59:59.000Z

448

Building Solutions | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address: 160Benin: EnergyBoston Areais a villageBucyrus, NorthBuhler, Kansas: EnergyREDD Capacity

449

Buildings Events | 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' ResearchTheMarketing,Energy- Mixed HumidBing Liu, PacificThisView14,

450

Building Technologies | 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6Energy, science, and technology forBudget byTechnologySecurity

451

Better Buildings Energy Data Accelerator  

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:YearRound-Up fromDepartmentTie Ltd: ScopeDepartment ofEnergyBeowawe7:forOFFICE 0 |Energy Data

452

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

E-Print Network [OSTI]

Retrieved from National Renewable Energy Laboratory: http://Golden, Colorado: National Renewable Energy Laboratory.for Energy Efficiency and Renewable Energy, Building

Feng, Wei

2013-01-01T23:59:59.000Z

453

Estimation of the relationship between remotely sensed anthropogenic heat discharge and building energy use  

SciTech Connect (OSTI)

This paper examined the relationship between remotely sensed anthropogenic heat discharge and energy use from residential and commercial buildings across multiple scales in the city of Indianapolis, Indiana, USA. Anthropogenic heat discharge was estimated based on a remote sensing-based surface energy balance model, which was parameterized using land cover, land surface temperature, albedo, and meteorological data. Building energy use was estimated using a GIS-based building energy simulation model in conjunction with Department of Energy/ Energy Information Administration survey data, Assessor's parcel data, GIS floor areas data, and remote sensing-derived building height data.

Zhou, Yuyu; Weng, Qihao; Gurney, Kevin R.; Shuai, Yanmin; Hu, Xuefei

2012-01-01T23:59:59.000Z

454

SPEER: Building a Regional Energy Efficiency Partnership  

E-Print Network [OSTI]

SPEER: Building a Regional Energy Efficiency Partnership Clean Air Through Energy Efficiency Conference – San Antonio, TX Doug Lewin December 18, 2013 ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy Efficiency Conference, San Antonio, Texas... Dec. 16-18 SPEER • Member-based, non-profit organization • The Newest Regional Energy Efficiency Organization (REEO) • Founded in 2011 • 38 members from wide cross section of E.E. industries ESL-KT-13-12-52 CATEE 2013: Clean Air Through Energy...

Lewin, D.

2013-01-01T23:59:59.000Z

455

Green Energy Standards for Public Buildings  

Broader source: Energy.gov [DOE]

In March 2012, West Virginia enacted the Green Buildings Act, which applies to all new construction of public buildings, buildings receiving state grant funds, and buildings receiving state...

456

Energy Audit Results for Residential Building Energy Efficiency  

E-Print Network [OSTI]

Energy Audit Results for Residential Building Energy Efficiency Forrest City Phases I and II This report analyses complete energy audit results from 28 homes within the Forest City residential complex. Relationships between temperature, humidity, comfort, and energy consumption are detailed. Recommendations

457

Building Energy Asset Score | 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 FuelsBSCmemo.pdf BSCmemo.pdfBiopower Basics BiopowerAprilBuildingOctoberof

458

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

SciTech Connect (OSTI)

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

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

1993-08-01T23:59:59.000Z

459

Tools for Assessing Building Energy Use in Industrial Plants  

E-Print Network [OSTI]

This presentation will cover a brief history of building energy measures savings potential for industrial plants and briefly characterize building energy measures and their savings identified over approximately the past 15 years in energy audits...

Martin, M.; MacDonald, M.

2007-01-01T23:59:59.000Z

460

Building Energy Efficiency in China - Status, Trends, Targets, and Solutions  

E-Print Network [OSTI]

It is well accepted that the reduction of building energy consumption is one of the most effective actions fro reducing the emission of CO2 and for protection of energy resources world wide. Understanding and comparing the real building energy...

Xia, J.

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Building Energy Code for the District of Columbia  

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...

462

Using occupancy to reduce energy consumption of buildings  

E-Print Network [OSTI]

network for all our smart building solutions. For this weDriven Energy Management for Smart Building Automation” Inused in a variety of smart building scenarios. In terms of

Balaji, Bharathan

2011-01-01T23:59:59.000Z

463

Achieving 50% Energy Savings in Office Buildings, Advanced Energy Design Guides: Office Buildings (Brochure)  

SciTech Connect (OSTI)

This fact sheet summarizes recommendations for designing new office buildings that result in 50% less energy use than conventional designs meeting minimum code requirements. The recommendations are drawn from the Advanced Energy Design Guide for Small to Medium Office Buildings, an ASHRAE publication that provides comprehensive recommendations for designing low-energy-use office buildings with gross floor areas up to 100,000 ft2 (see sidebar). Designed as a stand-alone document, this fact sheet provides key principles and a set of prescriptive design recommendations appropriate for smaller office buildings with insufficient budgets to fully implement best practices for integrated design and optimized performance. The recommendations have undergone a thorough analysis and review process through ASHRAE, and have been deemed the best combination of measures to achieve 50% savings in the greatest number of office buildings.

Not Available

2014-09-01T23:59:59.000Z

464

Building Energy Efficiency in India: Compliance Evaluation of Energy Conservation Building Code  

SciTech Connect (OSTI)

India is experiencing unprecedented construction boom. The country doubled its floorspace between 2001 and 2005 and is expected to add 35 billion m2 of new buildings by 2050. Buildings account for 35% of total final energy consumption in India today, and building energy use is growing at 8% annually. Studies have shown that carbon policies will have little effect on reducing building energy demand. Chaturvedi et al. predicted that, if there is no specific sectoral policies to curb building energy use, final energy demand of the Indian building sector will grow over five times by the end of this century, driven by rapid income and population growth. The growing energy demand in buildings is accompanied by a transition from traditional biomass to commercial fuels, particularly an increase in electricity use. This also leads to a rapid increase in carbon emissions and aggravates power shortage in India. Growth in building energy use poses challenges to the Indian government. To curb energy consumption in buildings, the Indian government issued the Energy Conservation Building Code (ECBC) in 2007, which applies to commercial buildings with a connected load of 100 kW or 120kVA. It is predicted that the implementation of ECBC can help save 25-40% of energy, compared to reference buildings without energy-efficiency measures. However, the impact of ECBC depends on the effectiveness of its enforcement and compliance. Currently, the majority of buildings in India are not ECBC-compliant. The United Nations Development Programme projected that code compliance in India would reach 35% by 2015 and 64% by 2017. Whether the projected targets can be achieved depends on how the code enforcement system is designed and implemented. Although the development of ECBC lies in the hands of the national government – the Bureau of Energy Efficiency under the Ministry of Power, the adoption and implementation of ECBC largely relies on state and local governments. Six years after ECBC’s enactment, only two states and one territory out of 35 Indian states and union territories formally adopted ECBC and six additional states are in the legislative process of approving ECBC. There are several barriers that slow down the process. First, stakeholders, such as architects, developers, and state and local governments, lack awareness of building energy efficiency, and do not have enough capacity and resources to implement ECBC. Second, institution for implementing ECBC is not set up yet; ECBC is not included in local building by-laws or incorporated into the building permit process. Third, there is not a systematic approach to measuring and verifying compliance and energy savings, and thus the market does not have enough confidence in ECBC. Energy codes achieve energy savings only when projects comply with codes, yet only few countries measure compliance consistently and periodic checks often indicate poor compliance in many jurisdictions. China and the U.S. appear to be two countries with comprehensive systems in code enforcement and compliance The United States recently developed methodologies measuring compliance with building energy codes at the state level. China has an annual survey investigating code compliance rate at the design and construction stages in major cities. Like many developing countries, India has only recently begun implementing an energy code and would benefit from international experience on code compliance. In this paper, we examine lessons learned from the U.S. and China on compliance assessment and how India can apply these lessons to develop its own compliance evaluation approach. This paper also provides policy suggestions to national, state, and local governments to improve compliance and speed up ECBC implementation.

Yu, Sha; Evans, Meredydd; Delgado, Alison

2014-03-26T23:59:59.000Z

465

Better Buildings | 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 Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural1222014AdvancedNews

466

2005 Buildings Energy Data Book  

Buildings Energy Data Book [EERE]

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorization for(EV) Road UserNatural U.S. Residential5

467

Research on Commercial Patterns of China Existing Building Energy Retrofit Based on Energy Management Contract  

E-Print Network [OSTI]

Existing building energy retrofit is one of the keys of building energy efficiency in China. According to experience in developed countries, implementation of energy management contract (EMC) is crucial to promote existing building energy retrofit...

Han, Z.; Liu, C.; Sun, J.

2006-01-01T23:59:59.000Z

468

Building America Webinar: Who's Successfully Doing Deep Energy Retrofits?  

Broader source: Energy.gov [DOE]

The webinar on June 25, 2014, focused on specific Building America projects that highlighted real-world examples of deep energy retrofits (DER) that are meeting with technical and market success. Presenters focused on technical strategies, modeled and actual performance results, and project costs.

469

Building America Webinar: Who's Successfully Doing Deep Energy Retrofits?  

Broader source: Energy.gov [DOE]

The webinar will focus on specific Building America projects and case studies that highlight real-world examples of deep energy retrofits that are meeting with technical and market success. Presenters will focus on technical strategies, modeled and actual performance results, and project costs.

470

Trends in energy use in commercial buildings -- Sixteen years of EIA's commercial buildings energy consumption survey  

SciTech Connect (OSTI)

The Commercial Buildings Energy Consumption Survey (CBECS) collects basic statistical information on energy consumption and energy-related characteristics of commercial buildings in the US. The first CBECS was conducted in 1979 and the most recent was completed in 1995. Over that period, the number of commercial bindings and total amount of floorspace increased, total consumption remained flat, and total energy intensity declined. By 1995, there were 4.6 million commercial buildings and 58.8 billion square feet of floorspace. The buildings consumed a total of 5.3 quadrillion Btu (site energy), with a total intensity of 90.5 thousand Btu per square foot per year. Electricity consumption exceeded natural gas consumption (2.6 quadrillion and 1.9 quadrillion Btu, respectively). In 1995, the two major users of energy were space heating (1.7 quadrillion Btu) and lighting (1.2 quadrillion Btu). Over the period 1979 to 1995, natural gas intensity declined from 71.4 thousand to 51.0 thousand Btu per square foot per year. Electricity intensity did not show a similar decline (44.2 thousand Btu per square foot in 1979 and 45.7 thousand Btu per square foot in 1995). Two types of commercial buildings, office buildings and mercantile and service buildings, were the largest consumers of energy in 1995 (2.0 quadrillion Btu, 38% of total consumption). Three building types, health care, food service, and food sales, had significantly higher energy intensities. Buildings constructed since 1970 accounted for half of total consumption and a majority (59%) of total electricity consumption.

Davis, J.; Swenson, A.

1998-07-01T23:59:59.000Z

471

Building Technologies 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 Data Center Home Page on Delicious Rank EERE: Alternative Fuels Data CenterEnergyAuthorizationSunShotAppealsBudgetEnergyBuilding

472

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

E-Print Network [OSTI]

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

Zhai, Zhiqiang, 1971-

2003-01-01T23:59:59.000Z

473

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

SciTech Connect (OSTI)

Buildings in the United States and China consumed 41percent and 28percent of the total primary energy in 2011, respectively. Good energy data are the cornerstone to understanding building energy performance and supporting research, design, operation, and policy making for low energy buildings. This paper presents initial outcomes from a joint research project under the U.S.-China Clean Energy Research Center for Building Energy Efficiency. The goal is to 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. This paper first reviews and compares several popular existing building energy monitoring systems in both countries. Next a standard energy data model is presented. A detailed, measured building energy data comparison was conducted for a few office buildings in both countries. Finally issues of data collection, quality, sharing, and analysis methods are discussed. It was found that buildings in both countries performed very differently, had potential for deep energy retrofit, but that different efficiency measures should apply.

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

2013-10-30T23:59:59.000Z

474

Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager  

Broader source: Energy.gov [DOE]

Advanced Benchmarking: Benchmark Building Energy Use Quickly and Accurately Using EPA's ENERGY STAR Portfolio Manager Webinar.

475

Department of Energy Commercial Building Benchmarks (New Construction): Energy Use Intensities, May 5, 2009  

Broader source: Energy.gov [DOE]

This file contains the energy use intensities (EUIs) for the benchmark building files by building type and climate zone.

476

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

E-Print Network [OSTI]

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

Basu, Chandrayee

2012-01-01T23:59:59.000Z

477

Using Qualified Energy Conservation Bonds for Public Building...  

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

Using Qualified Energy Conservation Bonds for Public Building Upgrades: Reducing Energy Bills in the City of Philadelphia Using Qualified Energy Conservation Bonds for Public...

478

Thermal Energy Storage for Cooling of Commercial Buildings  

E-Print Network [OSTI]

of Commercial Building Thermal Energy _Storage in ASEANGas Electric Company, "Thermal Energy Storage for Cooling,"LBL--25393 DE91 ,THERMAL ENERGY STORAGE FOR COOLING OF

Akbari, H.

2010-01-01T23:59:59.000Z

479

Building Energy-Efficiency Best Practice Policies and Policy Packages  

E-Print Network [OSTI]

ABORATORY Building Energy-Efficiency Best Practice Policiesleveraging for energy-efficiency BEE Best Practice Policiesgoverning energy efficiency and discuss best practices for

Levine, Mark

2014-01-01T23:59:59.000Z

480

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

SciTech Connect (OSTI)

This document highlights DOE's Office of Energy Efficiency and Renewable Energy's advancements in saving energy in homes, buildings, and industrial plants.

Not Available

2012-09-01T23:59:59.000Z

Note: This page contains sample records for the topic "building energy modeling" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

Modeling and Analysis of Solar Radiation Potentials on Building Rooftops  

SciTech Connect (OSTI)

The active application of photovoltaic for electricity generation could effectively transform neighborhoods and commercial districts into small, localized power plants. This application, however, relies heavily on an accurate estimation of the amount of solar radiation that is available on individual building rooftops. While many solar energy maps exist at higher spatial resolution for concentrated solar energy applications, the data from these maps are not suitable for roof-mounted photovoltaic for several reasons, including lack of data at the appropriate spatial resolution and lack of integration of building-specific characteristics into the models used to generate the maps. To address this problem, we have developed a modeling framework for estimating solar radiation potentials on individual building rooftops that is suitable for utility-scale applications as well as building-specific applications. The framework uses light detection and ranging (LIDAR) data at approximately 1-meter horizontal resolution and 0.3-meter vertical resolution as input for modeling a large number of buildings quickly. One of the strengths of this framework is the ability to parallelize its implementation. Furthermore, the framework accounts for building specific characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic systems. The resulting data has helped us to identify the so-called solar panel sweet spots on individual building rooftops and obtain accurate statistics of the variation in solar radiation as a function of time of year and geographical location.

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

2012-01-01T23:59:59.000Z

482

Commercial Building Energy Asset Rating Tool User's Guide  

SciTech Connect (OSTI)

The U.S. Department of Energy’s Commercial Building Energy Asset Rating Tool is a web-based system that is designed to allow building owners, managers, and operators to more accurately assess the energy performance of their commercial buildings. This document provide a step-by-step instruction on how to use the tool.

Wang, Na; Makhmalbaf, Atefe; Matsumoto, Steven W.

2012-05-01T23:59:59.000Z

483

Data and Analytics to Inform Energy Retrofit of High Performance Buildings  

SciTech Connect (OSTI)

Buildings consume more than one-third of the world?s primary energy. Reducing energy use in buildings with energy efficient technologies is feasible and also driven by energy policies such as energy benchmarking, disclosure, rating, and labeling in both the developed and developing countries. Current energy retrofits focus on the existing building stocks, especially older buildings, but the growing number of new high performance buildings built around the world raises a question that how these buildings perform and whether there are retrofit opportunities to further reduce their energy use. This is a new and unique problem for the building industry. Traditional energy audit or analysis methods are inadequate to look deep into the energy use of the high performance buildings. This study aims to tackle this problem with a new holistic approach powered by building performance data and analytics. First, three types of measured data are introduced, including the time series energy use, building systems operating conditions, and indoor and outdoor environmental parameters. An energy data model based on the ISO Standard 12655 is used to represent the energy use in buildings in a three-level hierarchy. Secondly, a suite of analytics were proposed to analyze energy use and to identify retrofit measures for high performance buildings. The data-driven analytics are based on monitored data at short time intervals, and cover three levels of analysis ? energy profiling, benchmarking and diagnostics. Thirdly, the analytics were applied to a high performance building in California to analyze its energy use and identify retrofit opportunities, including: (1) analyzing patterns of major energy end-use categories at various time scales, (2) benchmarking the whole building total energy use as well as major end-uses against its peers, (3) benchmarking the power usage effectiveness for the data center, which is the largest electricity consumer in this building, and (4) diagnosing HVAC equipment using detailed time-series operating data. Finally, a few energy efficiency measures were identified for retrofit, and their energy savings were estimated to be 20percent of the whole-building electricity consumption. Based on the analyses, the building manager took a few steps to improve the operation of fans, chillers, and data centers, which will lead to actual energy savings. This study demonstrated that there are energy retrofit opportunities for high performance buildings and detailed measured building performance data and analytics can help identify and estimate energy savings and to inform the decision making during the retrofit process. Challenges of data collection and analytics were also discussed to shape best practice of retrofitting high performance buildings.

Hong , Tianzhen; Yang, Le; Hill, David; Feng , Wei

2014-01-25T23:59:59.000Z

484

Automatic calibration of a building energy performance model and remote fault detection for continuous commissioning using a global optimization program  

E-Print Network [OSTI]

for energy waste. 2) An nnportant characteristic of this automated calibration process is that it may be possible to effectively use short-term measurements. The Short Term Energy Monitoring (STEM) is a method that Subbarao et al. (1990), Balcomb et al... %). The apparent savings fiom the retrofit of the DDCV system with VAV was about 684 GJ in cooling energy and 324 GJ in heating energy for a three-week period in June-July 1991. Balcomb et al. (1994) used the short-term energy monitoring (STEM) method...

Lee, Seung Uk

2002-01-01T23:59:59.000Z

485

EModel: A New Tool for Analyzing Building Energy Use Data  

E-Print Network [OSTI]

information system and data analysis theory to introduce EModel, a new tool for the analysis of building energy use data. EModel simplifies the previously laborious tasks of data browsing, reformatting and modeling through a user-friendly, Windows... intervals as short as a second. As a consequence of this, enormous quantities of energy use data are now available for analysis. Shoshona Zuboff discussed this phenomena in her seminal work, In The Age of the Smart Machine (Zuboff 1988). She proposed...

Haberl, J. S.; Claridge, D. E.; Kissock, J. K.; Reddy, T. A.

486

Zero Energy Buildings | Department of Energy  

Office of Environmental Management (EM)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf TheViolations |Join theZ:\ENROLL\H1.ENRLender

487

Building Energy Code | 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists' ResearchTheMarketing,Energy- Mixed Humid AffordableforColdDepartmentEnergy

488

A Retrofit Tool for Improving Energy Efficiency of Commercial Buildings  

SciTech Connect (OSTI)

Existing buildings will dominate energy use in commercial buildings in the United States for three decades or longer and even in China for the about two decades. Retrofitting these buildings to improve energy efficiency and reduce energy use is thus critical to achieving the target of reducing energy use in the buildings sector. However there are few evaluation tools that can quickly identify and evaluate energy savings and cost effectiveness of energy conservation measures (ECMs) for retrofits, especially for buildings in China. This paper discusses methods used to develop such a tool and demonstrates an application of the tool for a retrofit analysis. The tool builds on a building performance database with pre-calculated energy consumption of ECMs for selected commercial prototype buildings using the EnergyPlus program. The tool allows users to evaluate individual ECMs or a package of ECMs. It covers building envelope, lighting and daylighting, HVAC, plug loads, service hot water, and renewable energy. The prototype building can be customized to represent an actual building with some limitations. Energy consumption from utility bills can be entered into the tool to compare and calibrate the energy use of the prototype building. The tool currently can evaluate energy savings and payback of ECMs for shopping malls in China. We have used the tool to assess energy and cost savings for retrofit of the prototype shopping mall in Shanghai. Future work on the tool will simplify its use and expand it to cover other commercial building types and other countries.

Levine, Mark; Feng, Wei; Ke, Jing; Hong, Tianzhen; Zhou, Nan

2013-06-06T23:59:59.000Z

489

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

Energy Savers [EERE]

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

490

Analysis Methodology for Large Organizations' Investments in Energy Retrofit of Buildings  

E-Print Network [OSTI]

This paper presents a formal methodology that supports large organizations' investments in energy retrofit of buildings. The methodology is a scalable modeling approach based on normative models and Bayesian calibration. Normative models are a light...

Heo, Y.; Augenbroe, G.

2011-01-01T23:59:59.000Z

491

Scenarios of Building Energy Demand for China with a Detailed Regional Representation  

SciTech Connect (OSTI)

Building energy consumption currently accounts for 28% of China’s total energy use and is expected to continue to grow induced by floorspace expansion, income growth, and population change. Fuel sources and building services are also evolving over time as well as across regions and building types. To understand sectoral and regional difference in building energy use and how socioeconomic, physical, and technological development influence the evolution of the Chinese building sector, this study developed a building energy use model for China downscaled into four climate regions under an integrated assessment framework. Three building types (rural residential, urban residential, and commercial) were modeled specifically in each climate region. Our study finds that the Cold and Hot Summer Cold Winter regions lead in total building energy use. The impact of climate change on heating energy use is more significant than that of cooling energy use in most climate regions. Both rural and urban households will experience fuel switch from fossil fuel to cleaner fuels. Commercial buildings will experience rapid growth in electrification and energy intensity. Improved understanding of Chinese buildings with climate change highlighted in this study will help policy makers develop targeted policies and prioritize building energy efficiency measures.

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

2014-02-07T23:59:59.000Z

492

Energy Efficient Buildings Hub | 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:Year in Review: TopEnergyIDIQBusinessin Jamaica, N.Y.Energy Efficiency

493

Recent Developments of the Modelica "Buildings" Library for Building Energy and Control Systems  

E-Print Network [OSTI]

Recent Developments of the Modelica "Buildings" Library for Building Energy and Control Systems 94720, USA Abstract At the Modelica 2009 conference, we introduced the Buildings library, a freely develop an open-source Modelica library for building en- ergy and control systems. The library is freely

494

Energy and Energy Cost Savings Analysis of the IECC for Commercial Buildings  

SciTech Connect (OSTI)

The purpose of this analysis is to assess the relative energy and energy cost performance of commercial buildings designed to meet the requirements found in the commercial energy efficiency provisions of the International Energy Conservation Code (IECC). Section 304(b) of the Energy Conservation and Production Act (ECPA), as amended, requires the Secretary of Energy to make a determination each time a revised version of ASHRAE Standard 90.1 is published with respect to whether the revised standard would improve energy efficiency in commercial buildings. As many states have historically adopted the IECC for both residential and commercial buildings, PNNL has evaluated the impacts of the commercial provisions of the 2006, 2009, and 2012 editions of the IECC. PNNL also compared energy performance with corresponding editions of ANSI/ASHRAE/IES Standard 90.1 to help states and local jurisdictions make informed decisions regarding model code adoption.

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

2013-08-30T23:59:59.000Z

495

The Building Energy Report Card is used to compare the actual annual energy consumption of buildings to a  

E-Print Network [OSTI]

's area (Gross Square Feet or GSF). The report card accounts for all forms of energy used in a building.e. kBtu) and is divided by the building's area to proved a unit of energy intensity which is expressedThe Building Energy Report Card is used to compare the actual annual energy consumption

Ciocan-Fontanine, Ionut

496

On Variations of Space-heating Energy Use in Office Buildings  

SciTech Connect (OSTI)

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

Lin, Hung-Wen; Hong, Tianzhen

2013-05-01T23:59:59.000Z

497

Building Energy Efficiency Technologies - Energy Innovation Portal  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6Energy, science, and technology forBudget byTechnology

498

Improved Building Energy Consumption with the Help of Modern ICT  

E-Print Network [OSTI]

Kyoto process and the global combat against climate change will require more intensive energy saving efforts especially in all developed countries. Key for the success in building sector is the energy efficiency of the existing building stock...

Pietilainen, J.

2003-01-01T23:59:59.000Z

499

Lab Helps FAA Build Energy-Efficient Control Towers | Department...  

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

Lab Helps FAA Build Energy-Efficient Control Towers Lab Helps FAA Build Energy-Efficient Control Towers April 23, 2010 - 10:57am Addthis With help from the Pacific Northwest...

500

Tribal Renewable Energy Foundational Course: Direct Use for Building...  

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

Direct Use for Building Heat and Hot Water Tribal Renewable Energy Foundational Course: Direct Use for Building Heat and Hot Water Watch the U.S. Department of Energy Office of...