National Library of Energy BETA

Sample records for reference building models

  1. Archived Reference Building Type: Warehouse

    Broader source: Energy.gov [DOE]

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

  2. Archived Reference Building Type: Warehouse

    Broader source: Energy.gov [DOE]

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

  3. Archive Reference Buildings by Building Type: Warehouse

    Broader source: Energy.gov [DOE]

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

  4. Archive Reference Buildings by Building Type: Supermarket

    Broader source: Energy.gov [DOE]

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

  5. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

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

  6. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

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

  7. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

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

  8. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

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

  9. Archived Reference Building Type: Primary school

    Broader source: Energy.gov [DOE]

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

  10. Archived Reference Building Type: Secondary school

    Broader source: Energy.gov [DOE]

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

  11. Archived Reference Building Type: Medium office

    Broader source: Energy.gov [DOE]

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

  12. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  14. Existing Commercial Reference Buildings Constructed Before 1980 — Archive

    Broader source: Energy.gov [DOE]

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

  15. New Construction Commercial Reference Buildings — Archive

    Broader source: Energy.gov [DOE]

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

  16. Archived Reference Building Type: Stand-alone retail

    Broader source: Energy.gov [DOE]

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

  17. Archive Reference Buildings by Building Type: Primary school

    Broader source: Energy.gov [DOE]

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

  18. Archive Reference Buildings by Building Type: Secondary school

    Broader source: Energy.gov [DOE]

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

  19. Archive Reference Buildings by Building Type: Stand-alone retail

    Broader source: Energy.gov [DOE]

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

  20. Archive Reference Buildings by Building Type: Fast food

    Broader source: Energy.gov [DOE]

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

  1. Archive Reference Buildings by Building Type: Small office

    Broader source: Energy.gov [DOE]

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

  2. Archive Reference Buildings by Building Type: Strip mall

    Broader source: Energy.gov [DOE]

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

  3. Archive Reference Buildings by Building Type: Large office

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  4. Archived Reference Building Type: Stand-alone retail

    Broader source: Energy.gov [DOE]

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

  5. Reference Buildings by Building Type: Primary school

    Broader source: Energy.gov [DOE]

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  6. Reference Buildings by Building Type: Large office

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  7. Reference Buildings by Building Type: Medium office

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  8. Reference Buildings by Building Type: Small office

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  9. Reference Buildings by Building Type: Small Hotel

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  10. Reference Buildings by Building Type: Midrise Apartment

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  11. Reference Buildings by Building Type: Secondary school

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  12. Reference Buildings by Building Type: Warehouse

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  13. Reference Buildings by Building Type: Supermarket

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  14. Reference Buildings by Building Type: Large Hotel

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  15. Reference Buildings by Building Type: Strip mall

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  16. Reference Buildings by Building Type: Hospital

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  17. Reference Buildings by Climate Zone and Representative City:...

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

    Reference Buildings by Climate Zone and Representative City: 4B Albuquerque, New Mexico Reference Buildings by Climate Zone and Representative City: 4B Albuquerque, New...

  18. Reference Buildings by Climate Zone and Representative City:...

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

    akfairbanksnew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska Reference Buildings by Climate Zone...

  19. Reference Buildings by Climate Zone and Representative City:...

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

    atxhoustonnew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas Reference Buildings by Climate Zone...

  20. Reference Buildings by Climate Zone and Representative City:...

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

    mdbaltimorenew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland Reference Buildings by Climate...

  1. Reference Buildings by Climate Zone and Representative City:...

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

    agaatlantanew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia Reference Buildings by Climate Zone...

  2. Reference Buildings by Climate Zone and Representative City:...

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

    usaflmiaminew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida Reference Buildings by Climate Zone...

  3. Reference Buildings by Climate Zone and Representative City:...

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

    samthelenanew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana Reference Buildings by Climate Zone...

  4. Reference Buildings by Climate Zone and Representative City:...

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

    acobouldernew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado Reference Buildings by Climate...

  5. Reference Buildings by Climate Zone and Representative City:...

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

    awaseattlenew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington Reference Buildings by Climate...

  6. Reference Buildings by Climate Zone and Representative City:...

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

    nvlasvegasnew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada Reference Buildings by Climate...

  7. Sandia Energy - Reference Model Documents

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

    Documents Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Documents Reference Model DocumentsTara Camacho-Lopez2015-05-...

  8. Reference Buildings by Climate Zone and Representative City:...

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

    hicago-oharenew2004v1-47-2.zip More Documents & Publications Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois Reference Buildings by Climate...

  9. Building Energy Modeling Library

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

    303-567-8609 April 2, 2013 Photo by : Dennis Schroeder, NREL 23250 2 | Building Technologies Office eere.energy.gov Project Overview Building Energy Modeling (BEM)...

  10. Reference Buildings by Climate Zone and Representative City:...

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

    Climate Zone and Representative City: 2B Phoenix, Arizona Reference Buildings by Climate Zone and Representative City: 2B Phoenix, Arizona In addition to the ZIP file for each...

  11. Reference Buildings by Building Type: Outpatient health care

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  12. Reference Buildings by Building Type: Full service restaurant

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  13. Reference Buildings by Building Type: Stand-alone retail

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  14. Reference Buildings by Building Type: Quick service restaurant

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  15. Commercial Reference 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 QA:QA J-E-1 SECTIONRobertsdale, Alabama (Utility Company)| Open EnergyColoradoBiomass EnergyCity,Commercial Reference

  16. SAM Photovoltaic Model Technical Reference

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

    SAM Photovoltaic Model Technical Reference P. Gilman National Renewable Energy Laboratory Technical Report NRELTP-6A20-64102 May 2015 NREL is a national laboratory of the U.S....

  17. Development of Reference Models and Design Tools (LCOE Models...

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

    Development of Reference Models and Design Tools (LCOE Models) Development of Reference Models and Design Tools (LCOE Models) Development of Reference Models and Design Tools (LCOE...

  18. SUSY Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2007-10-19

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

  19. String Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2009-11-06

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

  20. SUSY GUT Model Building

    E-Print Network [OSTI]

    Stuart Raby

    2008-08-27

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

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

    SciTech Connect (OSTI)

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

    2010-08-01

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

  2. Anomaly for Model Building

    E-Print Network [OSTI]

    Utpal Sarkar

    2006-06-19

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

  3. Sandia Energy - Reference Model Project (RMP)

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

    Project (RMP) Home Stationary Power Energy Conversion Efficiency Water Power Reference Model Project (RMP) Reference Model Project (RMP)Tara Camacho-Lopez2015-05-11T21:01:36+00:00...

  4. Model Building Energy Code

    Broader source: Energy.gov [DOE]

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

  5. Building Energy Modeling Insights | Department of Energy

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

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

  6. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

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

  7. Technical Meeting: Reference Guide for a Transaction-Based Building...

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

    Building Technologies Office (DOE-BTO) vision for a transaction-rich buildings energy ecosystem that will unlock the energy efficiency and grid services values and deliver them...

  8. An expectation model of referring expressions

    E-Print Network [OSTI]

    Krćmer, John, Ph. D. Massachusetts Institute of Technology

    2010-01-01

    This thesis introduces EMRE, an expectation-based model of referring expressions. EMRE is proposed as a model of non-syntactic dependencies - in particular, discourse-level semantic dependencies that bridge sentence gaps. ...

  9. Reference Inflow Characterization for River Resource Reference Model (RM2)

    SciTech Connect (OSTI)

    Neary, Vincent S [ORNL

    2011-12-01

    Sandia National Laboratory (SNL) is leading an effort to develop reference models for marine and hydrokinetic technologies and wave and current energy resources. This effort will allow the refinement of technology design tools, accurate estimates of a baseline levelized cost of energy (LCoE), and the identification of the main cost drivers that need to be addressed to achieve a competitive LCoE. As part of this effort, Oak Ridge National Laboratory was charged with examining and reporting reference river inflow characteristics for reference model 2 (RM2). Published turbulent flow data from large rivers, a water supply canal and laboratory flumes, are reviewed to determine the range of velocities, turbulence intensities and turbulent stresses acting on hydrokinetic technologies, and also to evaluate the validity of classical models that describe the depth variation of the time-mean velocity and turbulent normal Reynolds stresses. The classical models are found to generally perform well in describing river inflow characteristics. A potential challenge in river inflow characterization, however, is the high variability of depth and flow over the design life of a hydrokinetic device. This variation can have significant effects on the inflow mean velocity and turbulence intensity experienced by stationary and bottom mounted hydrokinetic energy conversion devices, which requires further investigation, but are expected to have minimal effects on surface mounted devices like the vertical axis turbine device designed for RM2. A simple methodology for obtaining an approximate inflow characterization for surface deployed devices is developed using the relation umax=(7/6)V where V is the bulk velocity and umax is assumed to be the near-surface velocity. The application of this expression is recommended for deriving the local inflow velocity acting on the energy extraction planes of the RM2 vertical axis rotors, where V=Q/A can be calculated given a USGS gage flow time-series and stage vs. cross-section area rating relationship.

  10. Modeling Distributed Electricity Generation in the NEMS Buildings Models

    Reports and Publications (EIA)

    2011-01-01

    This paper presents the modeling methodology, projected market penetration, and impact of distributed generation with respect to offsetting future electricity needs and carbon dioxide emissions in the residential and commercial buildings sector in the Annual Energy Outlook 2000 (AEO2000) reference case.

  11. SAM Photovoltaic Model Technical Reference

    SciTech Connect (OSTI)

    Gilman, P.

    2015-05-27

    This manual describes the photovoltaic performance model in the System Advisor Model (SAM). The U.S. Department of Energy’s National Renewable Energy Laboratory maintains and distributes SAM, which is available as a free download from https://sam.nrel.gov. These descriptions are based on SAM 2015.1.30 (SSC 41).

  12. Transaction-Based Building Controls Framework, Volume 1: Reference Guide

    SciTech Connect (OSTI)

    Somasundaram, Sriram; Pratt, Robert G.; Akyol, Bora A.; Fernandez, Nicholas; Foster, Nikolas AF; Katipamula, Srinivas; Mayhorn, Ebony T.; Somani, Abhishek; Steckley, Andrew C.; Taylor, Zachary T.

    2014-04-28

    This document proposes a framework concept to achieve the objectives of raising buildings’ efficiency and energy savings potential benefitting building owners and operators. We call it a transaction-based framework, wherein mutually-beneficial and cost-effective market-based transactions can be enabled between multiple players across different domains. Transaction-based building controls are one part of the transactional energy framework. While these controls realize benefits by enabling automatic, market-based intra-building efficiency optimizations, the transactional energy framework provides similar benefits using the same market -based structure, yet on a larger scale and beyond just buildings, to the society at large.

  13. Autotune Building Energy Models

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

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

  14. DOE Commercial Reference Buildings Summary of Changes Between...

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

    Energy Commercial Building Benchmarks (New Construction): Summary of Changes from v1.03.0 to v1.13.1, May 5, 2009 Tax Deduction Qualified Software: EnergyPlus version 5.0.0.031...

  15. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

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

  16. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

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

  17. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

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

  18. REFERENCE APPENDICES For the 2013 Building Energy Efficiency Standards

    E-Print Network [OSTI]

    through cracks, gaps and openings in the envelope of a building, driven by wind pressure and the stack of cubic feet per hour per square foot per inch of mercury pressure difference. AIRFLOW ACROSS in the case of a heat pump). See Thermostatic Expansion Valves (TXV). AIR-TO-AIR HEAT EXCHANGER is a device

  19. Biomass Scenario Model Documentation: Data and References Lin...

    Office of Scientific and Technical Information (OSTI)

    Documentation: Data and References Lin, Y.; Newes, E.; Bush, B.; Peterson, S.; Stright, D. 09 BIOMASS FUELS BIOMASS SCENARIO MODEL; BSM; BIOMASS; BIOFUEL; MODEL; DATA; REFERENCES;...

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

    E-Print Network [OSTI]

    Jeong, Woon Seong

    2014-09-05

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

  1. A View on Future Building System Modeling and Simulation

    SciTech Connect (OSTI)

    Wetter, Michael

    2011-04-01

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

  2. The Structure of Tradeoffs in Model Building

    E-Print Network [OSTI]

    Weisberg, Michael

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

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

    SciTech Connect (OSTI)

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

    2014-01-01

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

  4. Theoretical Problems of Thesaurus Building with Particular Reference to Concept Formation.

    E-Print Network [OSTI]

    Soergel, Dagobert

    Theoretical Problems of Thesaurus Building with Particular Reference to Concept Formation. Dagobert ideas. #12;- 2 - Outline A Definitions B Functions of a thesaurus B 1 Functions of the indexing language logical structure and request-oriented indexing through the checklist technique B 4 Complex thesaurus

  5. 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.

  6. Reference worldwide model for antineutrinos from reactors

    E-Print Network [OSTI]

    Marica Baldoncini; Ivan Callegari; Giovanni Fiorentini; Fabio Mantovani; Barbara Ricci; Virginia Strati; Gerti Xhixha

    2015-02-16

    Antineutrinos produced at nuclear reactors constitute a severe source of background for the detection of geoneutrinos, which bring to the Earth's surface information about natural radioactivity in the whole planet. In this framework we provide a reference worldwide model for antineutrinos from reactors, in view of reactors operational records yearly published by the International Atomic Energy Agency (IAEA). We evaluate the expected signal from commercial reactors for ongoing (KamLAND and Borexino), planned (SNO+) and proposed (Juno, RENO-50, LENA and Hanohano) experimental sites. Uncertainties related to reactor antineutrino production, propagation and detection processes are estimated using a Monte Carlo based approach, which provides an overall site dependent uncertainty on the signal in the geoneutrino energy window on the order of 3%. We also implement the off-equilibrium correction to the reference reactor spectra associated with the long-lived isotopes and we estimate a 2.4% increase of the unoscillated event rate in the geoneutrino energy window due to the storage of spent nuclear fuels in the cooling pools. We predict that the research reactors contribute to less than 0.2% to the commercial reactor signal in the investigated 14 sites. We perform a multitemporal analysis of the expected reactor signal over a time lapse of 10 years using reactor operational records collected in a comprehensive database published at www.fe.infn.it/antineutrino.

  7. 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.

  8. Reference Model for Control and Automation Systems in Electrical...

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

    Model for Control and Automation Systems in Electrical Power (October 2005) Reference Model for Control and Automation Systems in Electrical Power (October 2005) Modern...

  9. Building Energy Modeling (BEM) Program Overview

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

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

  10. Hawaii demand-side management resource assessment. Final report, Reference Volume 1: Building prototype analysis

    SciTech Connect (OSTI)

    1995-04-01

    This report provides a detailed description of, and the baseline assumptions and simulation results for, the building prototype simulations conducted for the building types designated in the Work Plan for Demand-side Management Assessment of Hawaii`s Demand-Side Resources (HES-4, Phase 2). This report represents the second revision to the initial building prototype description report provided to DBEDT early in the project. Modifications and revisions to the prototypes, based on further calibration efforts and on comments received from DBEDT Staff have been incorporated into this final version. These baseline prototypes form the basis upon which the DSM measure impact estimates and the DSM measure data base were developed for this project. This report presents detailed information for each of the 17 different building prototypes developed for use with the DOE-21E program (23 buildings in total, including resorts and hotels defined separately for each island) to estimate the impact of the building technologies and measures included in this project. The remainder of this section presents some nomenclature and terminology utilized in the reports, tables, and data bases developed from this project to denote building type and vintage. Section 2 contains a more detailed discussion of the data sources, the definition of the residential sector building prototypes, and results of the DOE-2 analysis. Section 3 provides a similar discussion for the commercial sector. The prototype and baseline simulation results are presented in a separate section for each building type. Where possible, comparison of the baseline simulation results with benchmark data from the ENERGY 2020 model or other demand forecasting models specific to Hawaii is included for each building. Appendix A contains a detailed listing of the commercial sector baseline indoor lighting technologies included in the existing and new prototypes by building type.

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

    E-Print Network [OSTI]

    Alcocer, J.; Haberl, J. S.

    2012-01-01

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

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Ihler, Alexander

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

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

    E-Print Network [OSTI]

    Ihler, Alexander

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

  15. Reference Model for Control and Automation Systems in Electrical...

    Office of Environmental Management (EM)

    Reference Model for Control and Automation Systems in Electrical Power Version 1.2 October 12, 2005 Prepared by: Sandia National Laboratories' Center for SCADA Security Jason...

  16. Sandia Energy - Floating Oscillating Water Column Reference Model...

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

    to provide publicly available technical and economic benchmarks for a variety of marine energy converters. The final reference model, an oscillating water column (OWC)...

  17. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

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

  18. 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...

  19. Uncalibrated Building Energy Simulation Modeling Results 

    E-Print Network [OSTI]

    Ahmad, M.; Culp, C.H.

    2006-01-01

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

  20. Preview Draft References for Modeling the Environment

    E-Print Network [OSTI]

    Ford, Andrew

    River, NJ, Prentice Hall. Claussen, M and multiple co-autors. 2000. Earth system models of intermediate

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

    E-Print Network [OSTI]

    Feng, Wei

    2013-01-01

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

  2. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

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

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

    E-Print Network [OSTI]

    Olive, David

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

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

    E-Print Network [OSTI]

    Xu, X.; Wang, S.

    2006-01-01

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

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

    SciTech Connect (OSTI)

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

    2008-05-01

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

  6. This Guide references: Athena Impact Estimator for Buildings v4.5

    E-Print Network [OSTI]

    (CALGreen) 2010 (and 2012 supplement) Athena Guide to Whole-Building LCA in Green Building Programs 1st Edition #12;2 ASTM E2921-13 EN 15978:2011 #12;3 Athena Guide to Whole-building LCA in Green Building ...............................................................................................................9 3 INTERPRETATION OF LCA PROVISIONS IN GREEN BUILDING PROGRAMS............................ 9 3

  7. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

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

  8. The Long and Winding Road to Building an Electronic Reference Collection

    E-Print Network [OSTI]

    Morris, Sara E.; Devlin, Frances A.

    2011-10-18

    The Starting Line • Subscriptions to aggregated reference collections – Examples: CREDO Reference, Oxford Reference Online, Gale Virtual Reference Library The Starting Line • Subscription reference titles, not sold as books – Chicago Manual of Style... – Reference E-Books • No usage! • Staff didn’t remember Record with 655 added LibGuide Proceed with Caution… • Solution – Catalog tab • “Electronic Reference Works” – Focusing on four publishers • Credo, Oxford, Sage, Gale – Getting titles...

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

    SciTech Connect (OSTI)

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

    2013-09-06

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

  14. Model Building with F-Theory

    E-Print Network [OSTI]

    Ron Donagi; Martijn Wijnholt

    2012-04-03

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

  15. JEDI Marine and Hydrokinetic Model: User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.; Previsic, M.

    2011-04-01

    The Jobs and Economic Development Impact Model (JEDI) for Marine and Hydrokinetics (MHK) is a user-friendly spreadsheet-based tool designed to demonstrate the economic impacts associated with developing and operating MHK power systems in the United States. The JEDI MHK User Reference Guide was developed to assist users in using and understanding the model. This guide provides information on the model's underlying methodology, as well as the sources and parameters used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted.

  16. Progress in D-brane model building

    E-Print Network [OSTI]

    Fernando Marchesano

    2007-03-05

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

  17. 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...

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

    E-Print Network [OSTI]

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

    2011-01-01

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

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

    SciTech Connect (OSTI)

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

    2008-03-01

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

  20. Markovian Models for Electrical Load Prediction in Smart Buildings

    E-Print Network [OSTI]

    California at Santa Barbara, University of

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

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

    E-Print Network [OSTI]

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

  2. Building Project Model Support for Automated Labor Monitoring

    E-Print Network [OSTI]

    Sacks, Rafael

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

  3. Reference wind farm selection for regional wind power prediction models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Reference wind farm selection for regional wind power prediction models Nils Siebert George.siebert@ensmp.fr, georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting is recognized today as a major requirement for a secure and economic integration of wind generation in power systems. This paper deals

  4. A Configurable Reference Modelling Language1 M. Rosemanna

    E-Print Network [OSTI]

    van der Aalst, Wil

    , Configuration, Event-driven Process Chains 1 This research project is financially supported by SAP Corporate reference models "just" depict the possible system capabilities and cannot sufficiently guide the project, Eindhoven, The Netherlands, w.m.p.v.d.aalst@tm.tue.nl Abstract Enterprise Systems (ES) are comprehensive off

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

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01

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

  6. Interfacing BIM with Building Thermal and Daylighting Modeling 

    E-Print Network [OSTI]

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

    2013-01-01

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

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

    SciTech Connect (OSTI)

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

    2008-02-12

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

  8. Gauge symmetry breaking in orbifold model building

    E-Print Network [OSTI]

    Michele Trapletti

    2006-11-02

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

  9. Reference Model 6 (RM6): Oscillating Wave Energy Converter.

    SciTech Connect (OSTI)

    Bull, Diana L; Smith, Chris; Jenne, Dale Scott; Jacob, Paul; Copping, Andrea; Willits, Steve; Fontaine, Arnold; Brefort, Dorian; Gordon, Margaret Ellen; Copeland, Robert; Jepsen, Richard A.

    2014-10-01

    This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter reference model design in a complementary manner to Reference Models 1-4 contained in the above report. In this report, a conceptual design for an Oscillating Water Column Wave Energy Converter (WEC) device appropriate for the modeled reference resource site was identified, and a detailed backward bent duct buoy (BBDB) device design was developed using a combination of numerical modeling tools and scaled physical models. Our team used the methodology in SAND2013-9040 for the economic analysis that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays, up to 100 devices. The methodology was applied to identify key cost drivers and to estimate levelized cost of energy (LCOE) for this RM6 Oscillating Water Column device in dollars per kilowatt-hour (%24/kWh). Although many costs were difficult to estimate at this time due to the lack of operational experience, the main contribution of this work was to disseminate a detailed set of methodologies and models that allow for an initial cost analysis of this emerging technology. This project is sponsored by the U.S. Department of Energy's (DOE) Wind and Water Power Technologies Program Office (WWPTO), within the Office of Energy Efficiency & Renewable Energy (EERE). Sandia National Laboratories, the lead in this effort, collaborated with partners from National Laboratories, industry, and universities to design and test this reference model.

  10. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

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

  11. Tracking stochastic resonance curves using an assisted reference model

    SciTech Connect (OSTI)

    Calderón Ramírez, Mario; Rico Martínez, Ramiro; Parmananda, P.

    2015-06-15

    The optimal noise amplitude for Stochastic Resonance (SR) is located employing an Artificial Neural Network (ANN) reference model with a nonlinear predictive capability. A modified Kalman Filter (KF) was coupled to this reference model in order to compensate for semi-quantitative forecast errors. Three manifestations of stochastic resonance, namely, Periodic Stochastic Resonance (PSR), Aperiodic Stochastic Resonance (ASR), and finally Coherence Resonance (CR) were considered. Using noise amplitude as the control parameter, for the case of PSR and ASR, the cross-correlation curve between the sub-threshold input signal and the system response is tracked. However, using the same parameter the Normalized Variance curve is tracked for the case of CR. The goal of the present work is to track these curves and converge to their respective extremal points. The ANN reference model strategy captures and subsequently predicts the nonlinear features of the model system while the KF compensates for the perturbations inherent to the superimposed noise. This technique, implemented in the FitzHugh-Nagumo model, enabled us to track the resonance curves and eventually locate their optimal (extremal) values. This would yield the optimal value of noise for the three manifestations of the SR phenomena.

  12. Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter

    SciTech Connect (OSTI)

    Yu, Y. H.; Jenne, D. S.; Thresher, R.; Copping, A.; Geerlofs, S.; Hanna, L. A.

    2015-01-01

    This report is an addendum to SAND2013-9040: Methodology for Design and Economic Analysis of Marine Energy Conversion (MEC) Technologies. This report describes an Oscillating Water Column Wave Energy Converter (OSWEC) reference model design in a complementary manner to Reference Models 1-4 contained in the above report. A conceptual design for a taut moored oscillating surge wave energy converter was developed. The design had an annual electrical power of 108 kilowatts (kW), rated power of 360 kW, and intended deployment at water depths between 50 m and 100 m. The study includes structural analysis, power output estimation, a hydraulic power conversion chain system, and mooring designs. The results were used to estimate device capital cost and annual operation and maintenance costs. The device performance and costs were used for the economic analysis, following the methodology presented in SAND2013-9040 that included costs for designing, manufacturing, deploying, and operating commercial-scale MEC arrays up to 100 devices. The levelized cost of energy estimated for the Reference Model 5 OSWEC, presented in this report, was for a single device and arrays of 10, 50, and 100 units, and it enabled the economic analysis to account for cost reductions associated with economies of scale. The baseline commercial levelized cost of energy estimate for the Reference Model 5 device in an array comprised of 10 units is $1.44/kilowatt-hour (kWh), and the value drops to approximately $0.69/kWh for an array of 100 units.

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

    E-Print Network [OSTI]

    Bickmore, Timothy

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

  14. Using Simulation Models for Building Commissioning 

    E-Print Network [OSTI]

    Claridge, D. E.

    2004-01-01

    The International Energy Agency ECBCS Annex 40 “Commissioning of Buildings and HVAC Systems for Improved Energy Performance” task investigating Use of Whole Building Simulation in Commissioning has identified the following applications of whole...

  15. Model Predictive Control for Energy Efficient Buildings

    E-Print Network [OSTI]

    Ma, Yudong

    2012-01-01

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

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

    Broader source: Energy.gov [DOE]

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

  17. MODELING PASSIVE SOLAR BUILDINGS WITH HAND CALCULATIONS

    E-Print Network [OSTI]

    Goldstein, David B.

    2011-01-01

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

  18. Learning user modelling strategies for adaptive referring expression generation in spoken dialogue systems 

    E-Print Network [OSTI]

    Janarthanam, Srinivasan Chandrasekaran

    2011-06-30

    We address the problem of dynamic user modelling for referring expression generation in spoken dialogue systems, i.e how a spoken dialogue system should choose referring expressions to refer to domain entities to users ...

  19. Information Modelling for Sustainable Buildings Matija Knig

    E-Print Network [OSTI]

    Dustdar, Schahram

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

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

    SciTech Connect (OSTI)

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

    2008-01-01

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

  1. 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.

  2. 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.

  3. Archived Reference Climate Zone: 3C San Francisco, California

    Broader source: Energy.gov [DOE]

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

  4. Archived Reference Climate Zone: 4A Baltimore, Maryland

    Broader source: Energy.gov [DOE]

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

  5. Archived Reference Climate Zone: 6A Minneapolis, Minnesota

    Broader source: Energy.gov [DOE]

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

  6. Archived Reference Climate Zone: 2B Phoenix, Arizona

    Broader source: Energy.gov [DOE]

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

  7. Some motivations Feynman-Kac models Some modeling recipes Some references Feynman-Kac particle models and their

    E-Print Network [OSTI]

    Del Moral , Pierre

    Some motivations Feynman-Kac models Some modeling recipes Some references Feynman-Kac particle;Some motivations Feynman-Kac models Some modeling recipes Some references Outline 1 Some motivations particle methods 3 Some modeling recipes Interacting sampling technique (a brief reminder) A direct

  8. Reference Model 5 (RM5): Oscillating Surge Wave Energy Converter

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMassR&D100 Winners * Impactsand engineersAcquisition OfficereferenceReference Model

  9. Comparison of Building Energy Modeling Programs: Building Loads

    E-Print Network [OSTI]

    Zhu, Dandan

    2014-01-01

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

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

    SciTech Connect (OSTI)

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

    2007-04-29

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

  11. Building Energy Simulation & Modeling | Department of Energy

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

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

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

    SciTech Connect (OSTI)

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

    2011-08-01

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

  13. Reference Buildings by Climate Zone and Representative City: 6A Minneapolis, Minnesota

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  14. Reference Buildings by Climate Zone and Representative City: 1A Miami, Florida

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  15. Reference Buildings by Climate Zone and Representative City: 7 Duluth, Minnesota

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  16. Reference Buildings by Climate Zone and Representative City: 5B Boulder, Colorado

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  17. Reference Buildings by Climate Zone and Representative City: 3B Los Angeles, California

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  18. Reference Buildings by Climate Zone and Representative City: 3B Las Vegas, Nevada

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  19. Reference Buildings by Climate Zone and Representative City: 2A Houston, Texas

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  20. Reference Buildings by Climate Zone and Representative City: 5A Chicago, Illinois

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  1. Reference Buildings by Climate Zone and Representative City: 6B Helena, Montana

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  2. Reference Buildings by Climate Zone and Representative City: 8 Fairbanks, Alaska

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  3. Reference Buildings by Climate Zone and Representative City: 3A Atlanta, Georgia

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  4. Reference Buildings by Climate Zone and Representative City: 4B Albuquerque, New Mexico

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  5. Reference Buildings by Climate Zone and Representative City: 3C San Francisco, California

    Broader source: Energy.gov [DOE]

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  6. Reference Buildings by Climate Zone and Representative City: 4A Baltimore, Maryland

    Broader source: Energy.gov [DOE]

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  7. Reference Buildings by Climate Zone and Representative City: 4C Seattle, Washington

    Office of Energy Efficiency and Renewable Energy (EERE)

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

  8. Reference Buildings by Climate Zone and Representative City: 2B Phoenix, Arizona

    Broader source: Energy.gov [DOE]

    In addition to the ZIP file for each building type, you can directly view the "scorecard" spreadsheet that summarizes the inputs and results for each location. This Microsoft Excel spreadsheet is also included in the ZIP file. For version 1.4, only the IDF file is included.

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

    E-Print Network [OSTI]

    Der, Ralf

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

  10. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

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

    2012-09-30

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

  11. Guiding the Discovery of Open Source Software Processes with a Reference Model

    E-Print Network [OSTI]

    Scacchi, Walt

    Guiding the Discovery of Open Source Software Processes with a Reference Model Chris Jensen1 that characterize the process. Keywords. Reference model, open source, process discovery 1 Introduction OSS a reference model based approach for process discovery to assist in coding process evidence to reduce the risk

  12. Some motivations Feynman-Kac models Some modeling recipes Some references Feynman-Kac particle models and their

    E-Print Network [OSTI]

    Del Moral , Pierre

    Some motivations Feynman-Kac models Some modeling recipes Some references Feynman-Kac particle recipes Some references Outline 1 Some motivations Stochastic engineering problems Some "heuristic" approximation ideas A nonlinear approach Mean field particle methods 3 Some modeling recipes Interacting

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

    Broader source: Energy.gov [DOE]

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

  14. Building

    E-Print Network [OSTI]

    Physical Facilities

    2013-11-12

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

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

    SciTech Connect (OSTI)

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

    1999-06-01

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

  16. References for "PCs and Computer Terminals in Commercial Buildings"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear,DecadeYearby the(Dollars1.840 2.318 3.119 3.206References and

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

    SciTech Connect (OSTI)

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

    2012-06-01

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

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D. E.

    2012-01-01

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

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

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

  20. Simulation Models to Optimize the Energy Consumption of Buildings 

    E-Print Network [OSTI]

    Burhenne, S.; Jacob, D.

    2008-01-01

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

  1. Studio Education for Integrated Practice Using Building Information Modeling 

    E-Print Network [OSTI]

    O?zener, Ozan O?zener

    2011-02-22

    This research study posits that an altered educational approach to design studio can produce future professionals who apply Building Information Modeling (BIM) in the context of Integrated Project Delivery (IPD) to execute ...

  2. Building Energy Modeling | Department of Energy

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

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

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

    SciTech Connect (OSTI)

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

    2012-01-01

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

  4. Archived Reference Climate Zone: 3C San Francisco, California

    Broader source: Energy.gov [DOE]

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

  5. Archived Reference Climate Zone: 4A Baltimore, Maryland

    Broader source: Energy.gov [DOE]

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

  6. Archived Reference Climate Zone: 6A Minneapolis, Minnesota

    Broader source: Energy.gov [DOE]

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

  7. Archived Reference Climate Zone: 2B Phoenix, Arizona

    Broader source: Energy.gov [DOE]

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

  8. Duct thermal performance models for large commercial buildings

    SciTech Connect (OSTI)

    Wray, Craig P.

    2003-10-01

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

  9. Building Energy Modeling (BEM) Program Overview

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

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

  10. 2003 Yerkes Summer Institute Day Lab 1 Solar System Model page-1 Building Models to Scale

    E-Print Network [OSTI]

    Collar, Juan I.

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

  11. Detection and Prediction of Errors in EPCs of the SAP Reference Model

    E-Print Network [OSTI]

    van der Aalst, Wil

    as a blueprint for roll-out projects of SAP's ERP system. It reflects Version18 4.6 of SAP R/3 which was marketedDetection and Prediction of Errors in EPCs of the SAP Reference Model J. Mendling a, H.M.W. Verbeek provide empirical evidence for these questions based on the SAP reference model. This model collection

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

    E-Print Network [OSTI]

    Sacks, Rafael

    1998-01-01

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Murphy, Kevin Patrick

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

  16. Building Statistical Models and Scoring with UDFs Carlos Ordonez

    E-Print Network [OSTI]

    Ordonez, Carlos

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

  17. Applications of formal model choice to archaeological chronology building

    E-Print Network [OSTI]

    Sahu, Sujit K

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

  18. Reference genome sequence of the model plant Setaria

    E-Print Network [OSTI]

    2012-01-01

    element pro­ tein database. The filtered models were thengene models to the S. italica transposable element database

  19. Reference Model for Control and Automation Systems in Electrical Power

    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 DeliciousMathematicsEnergyInterested PartiesBuildingBudgetFinancial Opportunities » PastamsReducing

  20. Modeling of Residential Buildings and Heating Systems 

    E-Print Network [OSTI]

    Masy, G.; Lebrun, J.

    2004-01-01

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  2. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    SciTech Connect (OSTI)

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

    2013-01-01

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

  3. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

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

  4. A toolkit for building earth system models

    SciTech Connect (OSTI)

    Foster, I.

    1993-03-01

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

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

    E-Print Network [OSTI]

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

    2014-01-01

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

  6. Immersive Representation of Building Information Model 

    E-Print Network [OSTI]

    Nseir, Hussam

    2012-07-16

    commercial BIM application in an immersive visualization environment, the BIM model needs to pass through a tough conversion process and loss a large amount of its information. This research study utilizes the Application Programming Interface (API) of a...

  7. Semantic Enrichment for Building Information Modeling

    E-Print Network [OSTI]

    Belsky, Michael; Sacks, Rafael; Brilakis, Ioannis

    2015-01-01

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

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

    E-Print Network [OSTI]

    Parker, Lynne E.

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

  9. Property:Buildings/Models | Open Energy Information

    Open Energy Info (EERE)

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

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

    SciTech Connect (OSTI)

    none,

    2013-01-01

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

  11. Building Intelligent Sensor Networks With Multiagent Graphical Models

    E-Print Network [OSTI]

    Xiang, Yang

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

  12. Machine learning method for software quality model building

    E-Print Network [OSTI]

    Matwin, Stan

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

  13. PROCEEDINGS Open Access Building Markov state models with solvent

    E-Print Network [OSTI]

    Guibas, Leonidas J.

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

  14. Category:Building Models | Open Energy Information

    Open Energy Info (EERE)

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

  15. Modeling distributed generation in the buildings sectors

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Enhancements to ASHRAE Standard 90.1 Prototype Building Models

    SciTech Connect (OSTI)

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

    2014-04-16

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

  17. Building

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

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

  18. Parabolic Trough Reference Plant for Cost Modeling with the Solar Advisor Model (SAM)

    SciTech Connect (OSTI)

    Turchi, C.

    2010-07-01

    This report describes a component-based cost model developed for parabolic trough solar power plants. The cost model was developed by the National Renewable Energy Laboratory (NREL), assisted by WorleyParsons Group Inc., for use with NREL's Solar Advisor Model (SAM). This report includes an overview and explanation of the model, two summary contract reports from WorleyParsons, and an Excel spreadsheet for use with SAM. The cost study uses a reference plant with a 100-MWe capacity and six hours of thermal energy storage. Wet-cooling and dry-cooling configurations are considered. The spreadsheet includes capital and operating cost by component to allow users to estimate the impact of changes in component costs.

  19. MULTIVARIABLE NONLINEAR MODEL REFERENCE CONTROL OF CEMENT MILLS Mehmet nder Efe1

    E-Print Network [OSTI]

    Efe, Mehmet Önder

    MULTIVARIABLE NONLINEAR MODEL REFERENCE CONTROL OF CEMENT MILLS Mehmet Önder Efe1 and Okyay Kaynak2 reference control of a cement-milling circuit that has been studied previously. The approach presented studies focusing on cement mills have appeared. Clarke (1988) discusses the predictive control technique

  20. Duct thermal performance models for large commercial buildings

    E-Print Network [OSTI]

    Wray, Craig P.

    2003-01-01

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

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

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01

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

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

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

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

  3. Infiltration modeling guidelines for commercial building energy analysis

    SciTech Connect (OSTI)

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

    2009-09-30

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

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

    E-Print Network [OSTI]

    Schindler, Konrad

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

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

    SciTech Connect (OSTI)

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

    2015-09-01

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

  6. Water Rights Analysis Package (WRAP) Modeling System Reference Manual 

    E-Print Network [OSTI]

    Wurbs, R.

    2012-10-01

    Inflows and Outflows ............................................................................................... 96 Hydroelectric Energy Generation ....................................................................................... 96 Instream... contributed to development and improvement of the model. The original WRAP, initially called TAMUWRAP, stemmed from a 1986-1988 research project at Texas A&M University, entitled Optimizing Reservoir System Operations, which was sponsored by a federal...

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

    E-Print Network [OSTI]

    Hayek, Raja Fares

    1994-01-01

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

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

    SciTech Connect (OSTI)

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

    2010-06-01

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

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

    SciTech Connect (OSTI)

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

    1985-01-01

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

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

    E-Print Network [OSTI]

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

    2004-01-01

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

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

    SciTech Connect (OSTI)

    Foster, I.

    1992-01-01

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

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

    SciTech Connect (OSTI)

    Foster, I.

    1992-12-31

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

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

    E-Print Network [OSTI]

    Foster, Leon Lewis

    2008-07-22

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

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

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

    2007-01-01

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

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

    E-Print Network [OSTI]

    Vetter, Thomas

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

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

    E-Print Network [OSTI]

    Gugercin, Serkan

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

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

    E-Print Network [OSTI]

    Tommelein, Iris D.

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

  19. Identification of parameters in building concentration dispersion model

    E-Print Network [OSTI]

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

    2012-01-01

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

  20. Scalable Tuning of Building Models to Hourly Data

    SciTech Connect (OSTI)

    Garrett, Aaron; New, Joshua Ryan

    2015-01-01

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

  1. Model building in neural networks with hidden Markov models 

    E-Print Network [OSTI]

    Wynne-Jones, Michael

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

  2. The IAU Resolutions on Astronomical Reference Systems, Time Scales, and Earth Rotation Models

    E-Print Network [OSTI]

    George H. Kaplan

    2006-02-03

    Recent resolutions passed by the International Astronomical Union (IAU) on astronomical reference systems, time scales, and Earth rotation models are the most significant set of international agreements in positional astronomy in several decades. These resolutions, the result of over ten years of international research and study, provide a coherent set of foundational standards for the treatment of astrometric data and the modeling of dynamics in the solar system. This circular explains these resolutions and provides a complete set of practical formulas for their implementation. The six main chapters cover relativity, time scales, the fundamental celestial reference system, ephemerides of solar system bodies, precession and nutation, and modeling the Earth's rotation.

  3. An Instanton Toolbox for F-Theory Model Building

    E-Print Network [OSTI]

    Joseph Marsano; Natalia Saulina; Sakura Schafer-Nameki

    2009-07-23

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

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

    E-Print Network [OSTI]

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

  5. Jobs and Economic Development Impact (JEDI) Model Geothermal User Reference Guide

    SciTech Connect (OSTI)

    Johnson, C.; Augustine, C.; Goldberg, M.

    2012-09-01

    The Geothermal Jobs and Economic Development Impact (JEDI) model, developed through the National Renewable Energy Laboratory (NREL), is an Excel-based user-friendly tools that estimates the economic impacts of constructing and operating hydrothermal and Enhanced Geothermal System (EGS) power generation projects at the local level for a range of conventional and renewable energy technologies. The JEDI Model Geothermal User Reference Guide was developed to assist users in using and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted.

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

    E-Print Network [OSTI]

    Ma, Yudong

    2010-01-01

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

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

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

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

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

    SciTech Connect (OSTI)

    Raustad, Richard

    2013-06-01

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

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

    E-Print Network [OSTI]

    Masuda, H.; Claridge, D.

    2012-01-01

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

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

    E-Print Network [OSTI]

    Chen, Xinzhong

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

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

    SciTech Connect (OSTI)

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

    2010-03-01

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

  12. State-based Modeling of Buildings and Facilities 

    E-Print Network [OSTI]

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

    2011-01-01

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

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

    E-Print Network [OSTI]

    Kang, Zhaoyi

    2015-01-01

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

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

    E-Print Network [OSTI]

    Zhao, Jian, 1964-

    1990-01-01

    The development of architectural CAD systems implies a trend of using a comprehensive building model as the storage space for all relevant data about one design project. Instead of a set of drawing files, a building is ...

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

    E-Print Network [OSTI]

    Bambrook, S.; Jacob, D.

    2008-01-01

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

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

    E-Print Network [OSTI]

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

    2006-01-01

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

  17. Transmission Line Jobs and Economic Development Impact (JEDI) Model User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.; Keyser, D.

    2013-10-01

    The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are freely available, user-friendly tools that estimate the potential economic impacts of constructing and operating power generation projects for a range of conventional and renewable energy technologies. The Transmission Line JEDI model can be used to field questions about the economic impacts of transmission lines in a given state, region, or local community. This Transmission Line JEDI User Reference Guide was developed to provide basic instruction on operating the model and understanding the results. This guide also provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data contained in the model.

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

    E-Print Network [OSTI]

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

  19. Z .Chemical Geology 145 1998 153159 z /Geochemical Earth Reference Model GERM

    E-Print Network [OSTI]

    Langmuir, Charles H.

    Z .Chemical Geology 145 1998 153­159 z /Geochemical Earth Reference Model GERM : description on a chemical characterization of the Earth, its major reservoirs, and the fluxes between them. The Z .GERM chemical Z . Z .reservoirs of the present-day Earth, from core to atmosphere; 2 present-day fluxes between

  20. CAMELEON-RT: a Software Architecture Reference Model for Distributed, Migratable, and Plastic User

    E-Print Network [OSTI]

    CAMELEON-RT: a Software Architecture Reference Model for Distributed, Migratable, and Plastic User the problem space of distributed, migratable and plastic user interfaces, and presents CAMELEON-RT1 for distributed, migratable, and plastic user inter- faces. We have developed an early implementation of a run

  1. A Taxonomy of Visualization Techniques using the Data State Reference Model

    E-Print Network [OSTI]

    Indiana University

    A Taxonomy of Visualization Techniques using the Data State Reference Model Ed H. Chi Xerox Palo In previous work, researchers have attempted to construct taxonomies of information visualization techniques, these taxonomies do not help the implementers understand how to apply and implement these techniques. In this paper

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

    SciTech Connect (OSTI)

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

    2007-01-29

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

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

    E-Print Network [OSTI]

    Thompson, Darrell

    2014-12-15

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

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

    E-Print Network [OSTI]

    Bazjanac, Vladimir

    2008-01-01

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Ip Kiun Chong, Karine

    2014-01-01

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

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

    E-Print Network [OSTI]

    Brana, Rodrigo

    1985-01-01

    This thesis focuses on buildings as a subject of attention and inquiry in a corporate setting. It attempts to draw implications for the design of a management system to deal with the special nature of buildings as a resource. ...

  8. Modeling National Impacts for the Building America Program

    E-Print Network [OSTI]

    Coughlin, Katie M.; McNeil, Michael A.

    2008-01-01

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

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

    SciTech Connect (OSTI)

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

    2010-03-01

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

  10. Petroleum Refinery Jobs and Economic Development Impact (JEDI) Model User Reference Guide

    SciTech Connect (OSTI)

    Goldberg, M.

    2013-12-31

    The Jobs and Economic Development Impact (JEDI) models, developed through the National Renewable Energy Laboratory (NREL), are user-friendly tools utilized to estimate the economic impacts at the local level of constructing and operating fuel and power generation projects for a range of conventional and renewable energy technologies. The JEDI Petroleum Refinery Model User Reference Guide was developed to assist users in employing and understanding the model. This guide provides information on the model's underlying methodology, as well as the parameters and references used to develop the cost data utilized in the model. This guide also provides basic instruction on model add-in features, operation of the model, and a discussion of how the results should be interpreted. Based on project-specific inputs from the user, the model estimates job creation, earning and output (total economic activity) for a given petroleum refinery. This includes the direct, indirect and induced economic impacts to the local economy associated with the refinery's construction and operation phases. Project cost and job data used in the model are derived from the most current cost estimations available. Local direct and indirect economic impacts are estimated using economic multipliers derived from IMPLAN software. By determining the regional economic impacts and job creation for a proposed refinery, the JEDI Petroleum Refinery model can be used to field questions about the added value refineries may bring to the local community.

  11. Modeling and Control of AHUs in Building HVAC Systems

    E-Print Network [OSTI]

    Liang, Wei

    2014-01-01

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

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

    E-Print Network [OSTI]

    Cho, S.; Haberl, J.

    2009-01-01

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

  13. Duct Thermal Performance Models for Large Commercial Buildings

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

    Sanyal, Jibonananda; New, Joshua Ryan

    2014-01-01

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Ahmad, Mushtaq

    2005-07-27

    models were created for all the buildings; the massless model with emphasis on the envelope using massless construction and typical values for system parameters and the advanced model with the inclusion of thermal mass and extensive as-built details...

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

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01

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

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

    Broader source: Energy.gov [DOE]

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

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

    SciTech Connect (OSTI)

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

    2015-01-01

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

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

    SciTech Connect (OSTI)

    Stetiu, C.

    1993-07-01

    A thermal building simulation program is a numerical model that calculates the response of the building envelopes to weather and human activity, simulates dynamic heating and cooling loads, and heating and cooling distribution systems, and models building equipment operation. The scope of the research is to supply the users of such programs with information about the dangers and benefits of simplifying the input to their models. The Introduction describes the advantages of modeling the heat transfer mechanisms in a building. The programs that perform this type of modeling have, however, limitations. The user is therefore often put in the situation of simplifying the floor plans of the building under study, but not being able to check the effects that this approximation introduces in the results of the simulation. Chapter 1 is a description of methods. It also introduces the floor plans for the office building under study and the ``reasonable`` floor plans simplifications. Chapter 2 presents DOE-2, the thermal building simulation program used in the sensitivity study. The evaluation of the accuracy of the DOE-2 program itself is also presented. Chapter 3 contains the sensitivity study. The complicated nature of the process of interpreting the temperature profile inside a space leads to the necessity of defining different building modes. The study compares the results from the model of the detailed building description with the results from the models of the same building having simplified floor plans. The conclusion is reached that a study of the effects of simplifying the floor plans of a building is important mainly for defining the cases in which this approximation is acceptable. Different results are obtained for different air conditioning/load regimes of the building. 9 refs., 24 figs.

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

    E-Print Network [OSTI]

    Dong, B.

    2013-01-01

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

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

    E-Print Network [OSTI]

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

    1994-01-01

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

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

    E-Print Network [OSTI]

    Sokol, Julia A. (Julia Alexandrovna)

    2015-01-01

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

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

    E-Print Network [OSTI]

    Goldstein, David Baird

    2011-01-01

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

  5. Creative agencies : a model for building community capacity

    E-Print Network [OSTI]

    Ramaccia, Elizabeth M. (Elizabeth Marie)

    2011-01-01

    This research investigates how existing initiatives based in artistic and non-artistic disciplines build indigenous capacity for leadership in disenfranchised communities through the application of the creative process. ...

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

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

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

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

    E-Print Network [OSTI]

    O'Donnell, James

    2013-01-01

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

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

    E-Print Network [OSTI]

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

    2013-06-02

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

  9. Experimental Wave Tank Test for Reference Model 3 Floating-Point Absorber Wave Energy Converter Project

    SciTech Connect (OSTI)

    Yu, Y. H.; Lawson, M.; Li, Y.; Previsic, M.; Epler, J.; Lou, J.

    2015-01-01

    The U.S. Department of Energy established a reference model project to benchmark a set of marine and hydrokinetic technologies including current (tidal, open-ocean, and river) turbines and wave energy converters. The objectives of the project were to first evaluate the status of these technologies and their readiness for commercial applications. Second, to evaluate the potential cost of energy and identify cost-reduction pathways and areas where additional research could be best applied to accelerate technology development to market readiness.

  10. Reference Manual for the System Advisor Model's Wind Power Performance Model

    SciTech Connect (OSTI)

    Freeman, J.; Jorgenson, J.; Gilman, P.; Ferguson, T.

    2014-08-01

    This manual describes the National Renewable Energy Laboratory's System Advisor Model (SAM) wind power performance model. The model calculates the hourly electrical output of a single wind turbine or of a wind farm. The wind power performance model requires information about the wind resource, wind turbine specifications, wind farm layout (if applicable), and costs. In SAM, the performance model can be coupled to one of the financial models to calculate economic metrics for residential, commercial, or utility-scale wind projects. This manual describes the algorithms used by the wind power performance model, which is available in the SAM user interface and as part of the SAM Simulation Core (SSC) library, and is intended to supplement the user documentation that comes with the software.

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

    E-Print Network [OSTI]

    Baker, Jack W.

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

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

    E-Print Network [OSTI]

    Avouac, Jean-Philippe

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

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

    E-Print Network [OSTI]

    Giger, Christine

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

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

    SciTech Connect (OSTI)

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

    2014-02-28

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

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

    SciTech Connect (OSTI)

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

    2011-12-01

    Building simulation enables users to explore and evaluate multiple building designs. When tools for optimization, parametrics, and uncertainty analysis are combined with analysis engines, the sheer number of discrete simulation datasets makes it difficult to keep track of the inputs. The integrity of the input data is critical to designers, engineers, and researchers for code compliance, validation, and building commissioning long after the simulations are finished. This paper discusses an application that stores inputs needed for building energy modeling in a searchable, indexable, flexible, and scalable database to help address the problem of managing simulation input data.

  17. Land-Use History and Contemporary Management Inform an Ecological Reference Model for Longleaf Pine Woodland Understory Plant Communities.

    SciTech Connect (OSTI)

    Brudvig, Lars A.; Orrock, John L.; Damschen, Ellen I.; et al, et al

    2014-01-23

    Ecological restoration is frequently guided by reference conditions describing a successfully restored ecosystem; however, the causes and magnitude of ecosystem degradation vary, making simple knowledge of reference conditions insufficient for prioritizing and guiding restoration. Ecological reference models provide further guidance by quantifying reference conditions, as well as conditions at degraded states that deviate from reference conditions. Many reference models remain qualitative, however, limiting their utility. We quantified and evaluated a reference model for southeastern U.S. longleaf pine woodland understory plant communities. We used regression trees to classify 232 longleaf pine woodland sites at three locations along the Atlantic coastal plain based on relationships between understory plant community composition, soils lol(which broadly structure these communities), and factors associated with understory degradation, including fire frequency, agricultural history, and tree basal area. To understand the spatial generality of this model, we classified all sites together. and for each of three study locations separately. Both the regional and location-specific models produced quantifiable degradation gradients–i.e., progressive deviation from conditions at 38 reference sites, based on understory species composition, diversity and total cover, litter depth, and other attributes. Regionally, fire suppression was the most important degrading factor, followed by agricultural history, but at individual locations, agricultural history or tree basal area was most important. At one location, the influence of a degrading factor depended on soil attributes. We suggest that our regional model can help prioritize longleaf pine woodland restoration across our study region; however, due to substantial landscape-to-landscape variation, local management decisions should take into account additional factors (e.g., soil attributes). Our study demonstrates the utility of quantifying degraded states and provides a series of hypotheses for future experimental restoration work. More broadly, our work provides a framework for developing and evaluating reference models that incorporate multiple, interactive anthropogenic drivers of ecosystem degradation.

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

    E-Print Network [OSTI]

    Mandelbaum, Andrew (Andrew Joseph)

    2014-01-01

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

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

    E-Print Network [OSTI]

    Song, Jing, 1972-

    2004-01-01

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

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

    E-Print Network [OSTI]

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

    1993-01-01

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

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

    E-Print Network [OSTI]

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

    1992-01-01

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

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

    SciTech Connect (OSTI)

    Oar, D.L.

    1994-09-29

    This report was prepared by Hughes Associates, Inc. to document the results of fire models for building 221-T Canyon Deck and Railroad Tunnel. Backup data is contained in document No. WHC-SD-CP-ANAL-010, Rev. 0.

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

    E-Print Network [OSTI]

    Lannon, Simon; Georgakaki, Aliki; Macdonald, Stuart

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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  5. Evaluation of Building Models Ildiko Suveg, George Vosselman

    E-Print Network [OSTI]

    Vosselman, George

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

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

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

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

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

    SciTech Connect (OSTI)

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

    2009-07-01

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

  8. EIA model documentation: World oil refining logistics demand model,``WORLD`` reference manual. Version 1.1

    SciTech Connect (OSTI)

    Not Available

    1994-04-11

    This manual is intended primarily for use as a reference by analysts applying the WORLD model to regional studies. It also provides overview information on WORLD features of potential interest to managers and analysts. Broadly, the manual covers WORLD model features in progressively increasing detail. Section 2 provides an overview of the WORLD model, how it has evolved, what its design goals are, what it produces, and where it can be taken with further enhancements. Section 3 reviews model management covering data sources, managing over-optimization, calibration and seasonality, check-points for case construction and common errors. Section 4 describes in detail the WORLD system, including: data and program systems in overview; details of mainframe and PC program control and files;model generation, size management, debugging and error analysis; use with different optimizers; and reporting and results analysis. Section 5 provides a detailed description of every WORLD model data table, covering model controls, case and technology data. Section 6 goes into the details of WORLD matrix structure. It provides an overview, describes how regional definitions are controlled and defines the naming conventions for-all model rows, columns, right-hand sides, and bounds. It also includes a discussion of the formulation of product blending and specifications in WORLD. Several Appendices supplement the main sections.

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

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

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

  10. Reference Interaction Site Model and Optimized Perturbation theories of colloidal dumbbells with increasing anisotropy

    E-Print Network [OSTI]

    Gianmarco Munaň; Francisco Gŕmez; Dino Costa; Carlo Caccamo; Francesco Sciortino; Achille Giacometti

    2015-05-26

    We investigate thermodynamic properties of anisotropic colloidal dumbbells in the frameworks provided by the Reference Interaction Site Model (RISM) theory and an Optimized Perturbation Theory (OPT), this latter based on a fourth-order high-temperature perturbative expansion of the free energy, recently generalized to molecular fluids. Our model is constituted by two identical tangent hard spheres surrounded by square-well attractions with same widths and progressively different depths. Gas-liquid coexistence curves are obtained by predicting pressures, free energies, and chemical potentials. In comparison with previous simulation results, RISM and OPT agree in reproducing the progressive reduction of the gas-liquid phase separation as the anisotropy of the interaction potential becomes more pronounced; in particular, the RISM theory provides reasonable predictions for all coexistence curves, bar the strong anisotropy regime, whereas OPT performs generally less well. Both theories predict a linear dependence of the critical temperature on the interaction strength, reproducing in this way the mean-field behavior observed in simulations; the critical density~--~that drastically drops as the anisotropy increases~--~turns to be less accurate. Our results appear as a robust benchmark for further theoretical studies, in support to the simulation approach, of self-assembly in model colloidal systems.

  11. Model-reference adaptive control applied to load-following of a space-nuclear power system

    SciTech Connect (OSTI)

    Metzger, J.D.; El-Genk, M.S.; Parlos, A.G.; New Mexico Univ., Albuquerque, NM . Inst. for Space Nuclear Power Studies; Texas A and M Univ., College Station, TX . Dept. of Nuclear Engineering)

    1989-01-01

    Nuclear power systems are presently being investigated as an alternative for both commercial and military space power systems because of their projected longevity of 7 to 10 years, their mass advantage over other space power sources at powers above approximately 25 kW{sub e}, and their ability to operate without direct illumination from the sun. These space-nuclear power systems are being designed to supply from tens of kilowatts to multimegawatts of power for continuous operation of seven years and more. Space-nuclear power systems designs that meet these requirements will not be available for refueling or maintenance during their lifetime. To ensure that the space-nuclear power system will operate safely and will respond in a predictable and desired manner, the design of the system's controller must account for changes in the system parameters over its lifetime. This paper applies model-reference adaptive control to an increase in the power demand by the load. A model-reference adaptive controller will force the actual space-nuclear power system to follow the predictable and desired response of a reference model, despite changes in the actual system's operating parameters. Included in this paper are the model-reference adaptive control algorithm, the description of the computer simulation of a space-nuclear power system and the reference model, and results that demonstrate the application of model-reference adaptive control to a change in the load power demand. The results demonstrate that model-reference adaptive control can ensure the transient response of the system despite differences between the design of the system and the as-built system as well as for variations in the systems parameters. 5 refs., 3 figs.

  12. A Reference-Dependent Regret Model for Deterministic Trade-off Studies

    SciTech Connect (OSTI)

    Kujawski, Edouard

    2005-02-25

    Today's typical multi-criteria decision analysis is based on classical expected utility theory that assumes a mythical ''Rational Individual'' immune to psychological influences such as anticipated regret. It is therefore in conflict with rational individuals who trade-off some benefits and forgo the alternative with the highest total classical utility for a more balanced alternative in order to reduce their levels of anticipated regret. This paper focuses on decision making under certainty. It presents a reference-dependent regret model (RDRM) in which the level of regret that an individual experiences depends on the absolute values rather than the differences of the utilities of the chosen and forgone alternatives. The RDRM best choice may differ from the conventional linear additive utility model, the analytic hierarchy process, and the regret theory of Bell and Loomes and Sugden. Examples are presented that indicate that RDRM is the better predictive descriptor for decision making under certainty. RDRM satisfies transitivity of the alternatives under pairwise comparisons and models rank reversal consistent with observed reasonable choices under dynamic or distinct situations. Like regret theory, the RDRM utilities of all the alternatives under consideration are interrelated. For complex trade-off studies regret is incorporated as an element of a cost-utility-regret analysis that characterizes each alternative in terms of its monetary cost, an aggregate performance utility, and a regret value. This provides decision makers adequate information to compare the alternatives and depending on their values they may trade-off some performance and/or cost to avoid high levels of regret. The result is a well-balanced alternative often preferred by reasonable decision makers to the optimal choice of classical multi-attribute utility analysis. The model can readily be extended to incorporate rejoicing to suit decision makers who seek it. The approach is illustrated using a hypothetical but realistic aircraft selection problem.

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

    E-Print Network [OSTI]

    White, Robert D.

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

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

    E-Print Network [OSTI]

    Southern California, University of

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

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

    SciTech Connect (OSTI)

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

    1994-11-01

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

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

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

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

    E-Print Network [OSTI]

    Burdet, Etienne; Morand, Denis; Diab, Youssef

    2014-01-01

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

  18. Hawaii demand-side management resource assessment. Final report, Reference Volume 3 -- Residential and commercial sector DSM analyses: Detailed results from the DBEDT DSM assessment model; Part 1, Technical potential

    SciTech Connect (OSTI)

    1995-04-01

    The Hawaii Demand-Side Management Resource Assessment was the fourth of seven projects in the Hawaii Energy Strategy (HES) program. HES was designed by the Department of Business, Economic Development, and Tourism (DBEDT) to produce an integrated energy strategy for the State of Hawaii. The purpose of Project 4 was to develop a comprehensive assessment of Hawaii`s demand-side management (DSM) resources. To meet this objective, the project was divided into two phases. The first phase included development of a DSM technology database and the identification of Hawaii commercial building characteristics through on-site audits. These Phase 1 products were then used in Phase 2 to identify expected energy impacts from DSM measures in typical residential and commercial buildings in Hawaii. The building energy simulation model DOE-2.1E was utilized to identify the DSM energy impacts. More detailed information on the typical buildings and the DOE-2.1E modeling effort is available in Reference Volume 1, ``Building Prototype Analysis``. In addition to the DOE-2.1E analysis, estimates of residential and commercial sector gas and electric DSM potential for the four counties of Honolulu, Hawaii, Maui, and Kauai through 2014 were forecasted by the new DBEDT DSM Assessment Model. Results from DBEDTs energy forecasting model, ENERGY 2020, were linked with results from DOE-2.1E building energy simulation runs and estimates of DSM measure impacts, costs, lifetime, and anticipated market penetration rates in the DBEDT DSM Model. Through its algorithms, estimates of DSM potential for each forecast year were developed. Using the load shape information from the DOE-2.1E simulation runs, estimates of electric peak demand impacts were developed. Numerous tables and figures illustrating the technical potential for demand-side management are included.

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

    SciTech Connect (OSTI)

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

    2009-03-01

    This article describes the development, calibration and validation of a combustion-cogeneration model for whole-building simulation. As part of IEA Annex 42, we proposed a parametric model for studying residentialscale cogeneration systems based on both Stirling and internal combustion engines. The model can predict the fuel use, thermal output and electrical generation of a cogeneration device in response to changing loads, coolant temperatures and flow rates, and control strategies. The model is now implemented in the publicly-available EnergyPlus, ESP-r and TRNSYS building simulation programs. We vetted all three implementations using a comprehensive comparative testing suite, and validated the model's theoretical basis through comparison to measured data. The results demonstrate acceptable-to-excellent agreement, and suggest the model can be used with confidence when studying the energy performance of cogeneration equipment in non-condensing operation.

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01

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

  1. Energy Systems Laboratory: Building a Model Repository Collection 

    E-Print Network [OSTI]

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

    2008-06-05

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

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

    SciTech Connect (OSTI)

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

    2003-07-01

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

  3. A caveat on building nonlocal models of cosmology

    SciTech Connect (OSTI)

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

    2014-09-01

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

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

    SciTech Connect (OSTI)

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

    2011-03-17

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analysed.

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

    SciTech Connect (OSTI)

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

    2011-03-18

    In an effort to create broad access to its optimization software, Lawrence Berkeley National Laboratory (LBNL), in collaboration with the University of California at Davis (UC Davis) and OSISoft, has recently developed a Software as a Service (SaaS) Model for reducing energy costs, cutting peak power demand, and reducing carbon emissions for multipurpose buildings. UC Davis currently collects and stores energy usage data from buildings on its campus. Researchers at LBNL sought to demonstrate that a SaaS application architecture could be built on top of this data system to optimize the scheduling of electricity and heat delivery in the building. The SaaS interface, known as WebOpt, consists of two major parts: a) the investment& planning and b) the operations module, which builds on the investment& planning module. The operational scheduling and load shifting optimization models within the operations module use data from load prediction and electrical grid emissions models to create an optimal operating schedule for the next week, reducing peak electricity consumption while maintaining quality of energy services. LBNL's application also provides facility managers with suggested energy infrastructure investments for achieving their energy cost and emission goals based on historical data collected with OSISoft's system. This paper describes these models as well as the SaaS architecture employed by LBNL researchers to provide asset scheduling services to UC Davis. The peak demand, emissions, and cost implications of the asset operation schedule and investments suggested by this optimization model are analyzed.

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

    E-Print Network [OSTI]

    Choi, Jong-Hyo

    2014-12-23

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

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

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

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

  8. Modeling and Simulation of Human Behavior in Buildings

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

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

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

    SciTech Connect (OSTI)

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

    2003-01-01

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

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

    E-Print Network [OSTI]

    Stine, Robert A.

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

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

    E-Print Network [OSTI]

    Schindler, Konrad

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

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

    E-Print Network [OSTI]

    Soergel, Dagobert

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

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

    E-Print Network [OSTI]

    Hamann, Bernd

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

  14. Hybrid Model for Building Performance Diagnosis and Optimal Control 

    E-Print Network [OSTI]

    Wang, S.; Xu, X.

    2003-01-01

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

  15. Property:Buildings/ModelTargetType | Open Energy Information

    Open Energy Info (EERE)

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

  16. Property:Buildings/ModelXmlFile | Open Energy Information

    Open Energy Info (EERE)

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

  17. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

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

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

    E-Print Network [OSTI]

    Scarrott, Carl

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

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

    SciTech Connect (OSTI)

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

    2003-01-01

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

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

    SciTech Connect (OSTI)

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

    1992-08-01

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

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

    E-Print Network [OSTI]

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

    2012-01-01

    Energy services play a growing role in the control of energy consumption and the improvement of energy efficiency in non-residential buildings. This work consists in the application of a simulation-based approach dedicated to whole-building energy...

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

    E-Print Network [OSTI]

    Wang, J.; Claridge, D. E.

    1998-01-01

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

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

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

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

    E-Print Network [OSTI]

    Sun, Kaiyu

    2014-01-01

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

  5. Introduction to the Buildings Sector Module of SEDS

    E-Print Network [OSTI]

    DeForest, Nicholas

    2011-01-01

    is passive. Passive technologies refer to building wall andBuilding components and equipment selection submodule Passive

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-04-07

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

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

    E-Print Network [OSTI]

    Stefan Groot Nibbelink

    2015-02-12

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

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

    E-Print Network [OSTI]

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

    2001-01-01

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

  9. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

    Esteban, Carlos Hernández

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

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

    E-Print Network [OSTI]

    Mukherji, Payal Tapandev

    2011-02-22

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

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

    E-Print Network [OSTI]

    Miloslav Znojil

    2015-04-13

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

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

    E-Print Network [OSTI]

    Wansoo Ha; Changsoo Shin

    2014-08-20

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

  14. Emergency Preparedness Desk Reference Manual

    E-Print Network [OSTI]

    Patzek, Tadeusz W.

    Emergency Preparedness Desk Reference Manual Important Phone Numbers Medical Emergencies / Hazardous Material Fire Emergencies Vehicle Accidents Evacuation Weather Emergencies Building/System Problem or Failure Threat of Violence Terrorism Interpersonal Emergencies Next Page >>> #12;Important Phone Numbers

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

    SciTech Connect (OSTI)

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

    1985-01-01

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

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

    E-Print Network [OSTI]

    Fernandez, Thomas

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

  17. Background Basic methods Model-based algorithms Model-free algorithms RTI Perspectives Conclusions References Cooperative localization in sensor networks

    E-Print Network [OSTI]

    Hero, Alfred O.

    Background Basic methods Model-based algorithms Model-free algorithms RTI Perspectives Conclusions 23, 2015 1 52 #12;Background Basic methods Model-based algorithms Model-free algorithms RTI Coates (McGill) 2 52 #12;Background Basic methods Model-based algorithms Model-free algorithms RTI

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

    E-Print Network [OSTI]

    Fox, Mark S.

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

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

    SciTech Connect (OSTI)

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

    2011-03-01

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

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

    E-Print Network [OSTI]

    Cańzio, Luis (Del Cańzio)

    2006-01-01

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

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

    E-Print Network [OSTI]

    Shadmehr, Reza

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

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    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–

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

    E-Print Network [OSTI]

    Wang, W.

    1998-01-01

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

  4. Modelling heated composite floor slabs with reference to the Cardington experiments 

    E-Print Network [OSTI]

    Gillie, Martin; Usmani, Asif; Rotter, J Michael

    2001-01-01

    This paper describes a method of modelling composite floor slabs in fire conditions using a stress-resultant approach. The FEAST suite, which consists of two main computer programs is described. The first, SRAS, is designed ...

  5. Towards a Computational Model of Musical Accompaniment: Disambiguation of Musical Analyses by Reference to Performance Data 

    E-Print Network [OSTI]

    Curry, Benjamin David

    A goal of Artificial Intelligence is to develop computational models of what would be considered intelligent behaviour in a human. One such task is that of musical performance. This research specifically focuses on aspects ...

  6. Jobs and Economic Development Impact (JEDI) Model: Offshore Wind User Reference Guide

    SciTech Connect (OSTI)

    Lantz, E.; Goldberg, M.; Keyser, D.

    2013-06-01

    The Offshore Wind Jobs and Economic Development Impact (JEDI) model, developed by NREL and MRG & Associates, is a spreadsheet based input-output tool. JEDI is meant to be a user friendly and transparent tool to estimate potential economic impacts supported by the development and operation of offshore wind projects. This guide describes how to use the model as well as technical information such as methodology, limitations, and data sources.

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

    E-Print Network [OSTI]

    Street, Michael A. (Michael Anthony)

    2013-01-01

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

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

    E-Print Network [OSTI]

    Coakley, Daniel; Raftery, Paul; Keane, Marcus

    2014-01-01

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

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

    E-Print Network [OSTI]

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

    1998-01-01

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

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

    E-Print Network [OSTI]

    Cerpa, Alberto E.

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

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

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01

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

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

    E-Print Network [OSTI]

    Nouidui, Thierry Stephane

    2014-01-01

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

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

    E-Print Network [OSTI]

    Maasoumy, Mehdi

    2014-01-01

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

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

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

    E-Print Network [OSTI]

    Jenny, Bernhard

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

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

    E-Print Network [OSTI]

    Wang, Jinrong

    1996-01-01

    -retrofit weather is generally different from the weather used for model development, the prediction error of the baseline model may be different from the fitting error. Daily and monthly baseline models were developed for a midsize commercial building with (i) dual...

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

    E-Print Network [OSTI]

    Lee, S. U.; Claridge, D.

    2002-01-01

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

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

    E-Print Network [OSTI]

    Katipamula, S.; Claridge, D. E.

    1991-01-01

    energy conserving retrofits relies on the use of a model for the daily whole building consumption, Epre, in the pre-retrofit configuration. Epre is typically a function of primary influencing parameters such as ambient temperature, humidity, building...

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

    SciTech Connect (OSTI)

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

    2013-09-01

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

  20. Sensor Characteristics Reference Guide

    SciTech Connect (OSTI)

    Cree, Johnathan V.; Dansu, A.; Fuhr, P.; Lanzisera, Steven M.; McIntyre, T.; Muehleisen, Ralph T.; Starke, M.; Banerjee, Pranab; Kuruganti, T.; Castello, C.

    2013-04-01

    The Buildings Technologies Office (BTO), within the U.S. Department of Energy (DOE), Office of Energy Efficiency and Renewable Energy (EERE), is initiating a new program in Sensor and Controls. The vision of this program is: • Buildings operating automatically and continuously at peak energy efficiency over their lifetimes and interoperating effectively with the electric power grid. • Buildings that are self-configuring, self-commissioning, self-learning, self-diagnosing, self-healing, and self-transacting to enable continuous peak performance. • Lower overall building operating costs and higher asset valuation. The overarching goal is to capture 30% energy savings by enhanced management of energy consuming assets and systems through development of cost-effective sensors and controls. One step in achieving this vision is the publication of this Sensor Characteristics Reference Guide. The purpose of the guide is to inform building owners and operators of the current status, capabilities, and limitations of sensor technologies. It is hoped that this guide will aid in the design and procurement process and result in successful implementation of building sensor and control systems. DOE will also use this guide to identify research priorities, develop future specifications for potential market adoption, and provide market clarity through unbiased information

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

    E-Print Network [OSTI]

    Lee, Kwang Ho; Schiavon, Stefano

    2013-01-01

    105, The U.S. DOE. 2010. EnergyPlus Engineering Reference:The Reference to EnergyPlus Calculations. http://The U.S. DOE. 2010. EnergyPlus Input Output Reference: The

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

    SciTech Connect (OSTI)

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

    2010-05-14

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

  3. Reference Models and Incentive Regulation of Electricity Distribution Networks: An Evaluation of Sweden’s Network Performance Assessment Model (NPAM)

    E-Print Network [OSTI]

    Jamasb, Tooraj; Pollitt, Michael G.

    (Capex), quality of service, and network losses in a single model. Aggregation of these important elements into a single model has useful efficiency and incentive properties. Firms can adjust their inputs and outputs more efficiently by weighting... long-term benchmarking model, the NPAM incorporates the main inputs and outputs of regulatory concern such as operating and maintenance expenditures (Opex), capital expenditures (Capex), service quality, and network energy losses. It is generally...

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

    E-Print Network [OSTI]

    Claridge,D.; Chen,W.J

    2014-01-01

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

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

    E-Print Network [OSTI]

    Gubbala, Nagalakshmi V.

    1994-01-01

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

  6. Definition of a 5MW/61.5m wind turbine blade reference model.

    SciTech Connect (OSTI)

    Resor, Brian Ray

    2013-04-01

    A basic structural concept of the blade design that is associated with the frequently utilized %E2%80%9CNREL offshore 5-MW baseline wind turbine%E2%80%9D is needed for studies involving blade structural design and blade structural design tools. The blade structural design documented in this report represents a concept that meets basic design criteria set forth by IEC standards for the onshore turbine. The design documented in this report is not a fully vetted blade design which is ready for manufacture. The intent of the structural concept described by this report is to provide a good starting point for more detailed and targeted investigations such as blade design optimization, blade design tool verification, blade materials and structures investigations, and blade design standards evaluation. This report documents the information used to create the current model as well as the analyses used to verify that the blade structural performance meets reasonable blade design criteria.

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    Broader source: Energy.gov [DOE]

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

  9. Hawaii demand-side management resource assessment. Final report, Reference Volume 2: Final residential and commercial building prototypes and DOE-2.1E developed UECs and EUIs; Part 3

    SciTech Connect (OSTI)

    1995-04-01

    This section contains the detailed measured impact results and market segment data for each DSM case examined for this building type. A complete index of all base and measure cases defined for this building type is shown first. This index represents an expansion of the base and measure matrix presented in Table 1 (residential) or Table 2 (commercial) for the applicable sector. Following this index, a summary report sheet is provided for each DSM measure case in the order shown in the index. The summary report sheet contains a host of information and selected graphs which define and depict the measure impacts and outline the market segment data assumptions utilized for each case in the DBEDT DSM Forecasting models. The variables and figures included in the summary report sheet are described. Numerous tables and figures are included.

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

    E-Print Network [OSTI]

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

    2015-07-02

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

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

    E-Print Network [OSTI]

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

    2013-01-01

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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

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

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

    E-Print Network [OSTI]

    Carreira-Perpińán, Miguel Á.

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

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

    E-Print Network [OSTI]

    Zhang, Jinsong, 1975-

    2001-01-01

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

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

    E-Print Network [OSTI]

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

    2006-01-01

    In order to improve the objectivity of building energy efficiency evaluation, this paper uses a new method to evaluate building energy efficiency on the basis of rough sets theory. The contribution of different subentry evaluation indicators...

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

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01

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

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

    SciTech Connect (OSTI)

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

    2013-01-23

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

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

    SciTech Connect (OSTI)

    Kavousian, A; Rajagopal, R

    2014-01-01

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

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

    Broader source: Energy.gov [DOE]

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

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

    Broader source: Energy.gov [DOE]

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

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

    E-Print Network [OSTI]

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

    2004-01-01

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

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

    E-Print Network [OSTI]

    Liu, Mian

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

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

    E-Print Network [OSTI]

    Wolberg, George

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

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

    E-Print Network [OSTI]

    Janvier, Miho; Demoulin, Pascal

    2015-01-01

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

  6. Reference Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-RichProtonAbout Us HanfordReference Materials Reference

  7. Reference Shelf

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-RichProtonAbout Us HanfordReference MaterialsReference Shelf

  8. Poroelastic references

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Christina Morency

    2014-12-12

    This file contains a list of relevant references on the Biot theory (forward and inverse approaches), the double-porosity and dual-permeability theory, and seismic wave propagation in fracture porous media, in RIS format, to approach seismic monitoring in a complex fractured porous medium such as Brady?s Geothermal Field.

  9. Poroelastic references

    DOE Data Explorer [Office of Scientific and Technical Information (OSTI)]

    Christina Morency

    This file contains a list of relevant references on the Biot theory (forward and inverse approaches), the double-porosity and dual-permeability theory, and seismic wave propagation in fracture porous media, in RIS format, to approach seismic monitoring in a complex fractured porous medium such as Brady?s Geothermal Field.

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

    SciTech Connect (OSTI)

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

    2013-09-01

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

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

    SciTech Connect (OSTI)

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

    2013-09-01

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

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

    E-Print Network [OSTI]

    Basu, Chandrayee

    2012-01-01

    Qualitative and quantitative analysis 52 Future work .. 53 References 55 Appendix A . 58 Appendix B . 60 iii MS Thesis,

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

    SciTech Connect (OSTI)

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

    2011-01-01

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

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

    SciTech Connect (OSTI)

    Wetter, Michael

    2009-02-12

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

  15. DOE Commercial Reference Buildings | Department of Energy

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

    (New Construction): Energy Use Intensities, May 5, 2009 2014-05-08 Issuance: Energy Efficiency Improvements in ANSIASHRAEIES Standard 90.1-2013; Preliminary Determination...

  16. Category:Buildings References | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIX ECoopButte County,Camilla, Georgia: Energy014771°,North Dakota:BonnBoulder, COBuildings

  17. Commercial Reference 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustmentsShirleyEnergyTher i n c i p aDepartment ofCommercial Grade Dedication (CGD) is to<overview ofin

  18. Existing Commercial Reference Buildings Constructed Before 1980 |

    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:FinancingPetroleum12, 2015Executive Order 13514 Federal Leadership inExelon response09 DOE

  19. Impact of different building ventilation modes on occupant expectations of the main IEQ factors

    E-Print Network [OSTI]

    Kim, Jungsoo; de Dear, Richard

    2012-01-01

    Buildings. [4] USGBC. Green building design and constuction:reference guide for green building design and construction.Technical manual: green star office design & office as built

  20. THE CO2 ABATEMENT POTENTIAL OF CALIFORNIA'S MID-SIZED COMMERCIAL BUILDINGS

    E-Print Network [OSTI]

    Stadler, Michael

    2010-01-01

    Electricity Generation from CHP by Building Types, Referenceimpact of mid-sized building CHP systems on CO 2 emissions.Electricity Generation from CHP by Building Types, Reference

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

    E-Print Network [OSTI]

    Kamat, Vineet R.

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

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

    E-Print Network [OSTI]

    Koprinska, Irena

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

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

    E-Print Network [OSTI]

    Southern California, University of

    2006-01-01

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

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

    SciTech Connect (OSTI)

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

    1985-01-01

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

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

    E-Print Network [OSTI]

    Coughlin, Katie

    2012-01-01

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

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

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

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

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

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

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

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

    E-Print Network [OSTI]

    Stadler, Michael

    2012-01-01

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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

  10. Heat Recovery in Building Envelopes

    E-Print Network [OSTI]

    Sherman, Max H.; Walker, Iain S.

    2001-01-01

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

  11. Reference Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-RichProtonAbout Us Hanford SiteRecoveryWatertheReference

  12. Reference Materials

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity ofkandz-cm11 Outreach Home RoomPreservation of Fe(II) by Carbon-RichProtonAbout Us HanfordReference Materials

  13. / R Reference May 25, 2010

    E-Print Network [OSTI]

    Loon, E. Emiel van

    of time searching for a simple way to do what I wanted, but at the end of the semester, I was pleasantly that the entire resulting derived work is distributed under the terms of a permission notice identical to this one, Matlab / R Reference 2 Contents 1 Help 3 2 Entering/building/indexing matrices 3 2.1 Cell arrays

  14. A Process Reference Model for Reuse in Industrial Engineering: Enhancing the ISO/IEC 15504 Framework to Cope with Organizational Reuse Maturity

    E-Print Network [OSTI]

    Mössenböck, Hanspeter

    A Process Reference Model for Reuse in Industrial Engineering: Enhancing the ISO/IEC 15504 in industrial engineering for solution providers is more and more recognized as a key to economic success for reuse in industrial engineering. Based on an overview and the background of the GDES-Reuse improvement

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

    SciTech Connect (OSTI)

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

    2013-10-01

    This presentation describes the Distributed Generation Building Energy Assessment Tool (DG-BEAT) developed by the National Renewable Energy Laboratory and the University of California Irvine. DG-BEAT is designed to allow stakeholders to assess the economics of installing stationary fuel cell systems in a variety of building types in the United States.

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

    E-Print Network [OSTI]

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

    1994-01-01

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

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

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

  18. Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple-Linear Inverse Building Energy Analysis Models, ASHRAE Research Project 1050-RP, Final Report 

    E-Print Network [OSTI]

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

    2002-11-01

    This report summarizes the results of ASHRAE Research Project 1050: Development of a Toolkit for Calculating Linear, Change-Point Linear and Multiple Linear Inverse Building Energy Analysis Models. The Inverse Modeling ...

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

    E-Print Network [OSTI]

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

    1998-01-01

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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

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

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

    E-Print Network [OSTI]

    Coffey, Brian

    2010-01-01

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

  2. Better Buildings 

    E-Print Network [OSTI]

    Neukomm, M.

    2012-01-01

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

  3. A Post-Occupancy Monitored Evaluation of the Dimmable Lighting, Automated Shading, and Underfloor Air Distribution System in The New York Times Building

    E-Print Network [OSTI]

    2013-01-01

    Boston, August 2–7, 2009. EnergyPlus Engineering Reference,buildings/energyplus/pdfs/engineeringreference.pdf Bauman,or from a calibrated EnergyPlus model (HVAC); and cost data

  4. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1992-10-01

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

  5. Passive solar buildings

    SciTech Connect (OSTI)

    Balcomb, J.D. )

    1992-01-01

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

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

    E-Print Network [OSTI]

    Walker, Christine E. (Christine Elaine)

    2006-01-01

    Commercial office buildings predominantly are designed to be ventilated and cooled using mechanical systems. In temperate climates, passive ventilation and cooling techniques can be utilized to reduce energy consumption ...

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

    E-Print Network [OSTI]

    Kelly, Scott

    2013-04-16

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

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

    E-Print Network [OSTI]

    International Association for Cryptologic Research (IACR)

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

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

    E-Print Network [OSTI]

    Bueno Unzeta, Bruno

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

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

    E-Print Network [OSTI]

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

    2010-01-01

    Increasingly, building owners are turning to ground source heat pump (GSHP) systems to improve energy efficiency. Ground-coupled heat pump (GCHP) systems with a vertical closed ground loop heat exchanger are one of the more widely used systems. Over...

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

    E-Print Network [OSTI]

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

    2006-01-01

    A green building involves complex system engineering including energy efficiency and energy utilization, water-saving and water utilization, material-saving and material utilization, and land-saving and indoor environment quality and operation...

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

    E-Print Network [OSTI]

    Chen, Shu-Ching

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

  13. Hawaii demand-side management resource assessment. Final report, Reference Volume 5: The DOETRAN user`s manual; The DOE-2/DBEDT DSM forecasting model interface

    SciTech Connect (OSTI)

    1995-04-01

    The DOETRAN model is a DSM database manager, developed to act as an intermediary between the whole building energy simulation model, DOE-2, and the DBEDT DSM Forecasting Model. DOETRAN accepts output data from DOE-2 and TRANslates that into the format required by the forecasting model. DOETRAN operates in the Windows environment and was developed using the relational database management software, Paradox 5.0 for Windows. It is not necessary to have any knowledge of Paradox to use DOETRAN. DOETRAN utilizes the powerful database manager capabilities of Paradox through a series of customized user-friendly windows displaying buttons and menus with simple and clear functions. The DOETRAN model performs three basic functions, with an optional fourth. The first function is to configure the user`s computer for DOETRAN. The second function is to import DOE-2 files with energy and loadshape data for each building type. The third main function is to then process the data into the forecasting model format. As DOETRAN processes the DOE-2 data, graphs of the total electric monthly impacts for each DSM measure appear, providing the user with a visual means of inspecting DOE-2 data, as well as following program execution. DOETRAN provides three tables for each building type for the forecasting model, one for electric measures, gas measures, and basecases. The optional fourth function provided by DOETRAN is to view graphs of total electric annual impacts by measure. This last option allows a comparative view of how one measure rates against another. A section in this manual is devoted to each of the four functions mentioned above, as well as computer requirements and exiting DOETRAN.

  14. Building Stones

    E-Print Network [OSTI]

    2012-01-01

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

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

    SciTech Connect (OSTI)

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

    2011-06-22

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

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

    E-Print Network [OSTI]

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

    2013-01-01

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

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

    SciTech Connect (OSTI)

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

    2014-01-01

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

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

    SciTech Connect (OSTI)

    Hadley, SW

    2004-10-11

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

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

    E-Print Network [OSTI]

    Jones, M.; Ledinger, S.

    2010-01-01

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

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

    E-Print Network [OSTI]

    Katipamula, S.; Claridge, D. E.

    1991-01-01

    from energy conserving retrofits relies on the use of a model for the daily whole building consumption, Epre, in the pre-retrofit configuration. Epre is typically a function of primary influencing parameters such as ambient temperature, humidity...

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

    E-Print Network [OSTI]

    Wang, Xiaorui "Ray"

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

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

    E-Print Network [OSTI]

    Dudley, Junqiao Han

    2010-01-01

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

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

    Office of Energy Efficiency and Renewable Energy (EERE)

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

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

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

  5. Hawaii demand-side management resource assessment. Final report, Reference Volume 4: The DBEDT DSM assessment model user`s manual

    SciTech Connect (OSTI)

    1995-04-01

    The DBEDT DSM Assessment Model (DSAM) is a spreadsheet model developed in Quattro Pro for Windows that is based on the integration of the DBEDT energy forecasting model, ENERGY 2020, with the output from the building energy use simulation model, DOE-2. DOE-2 provides DSM impact estimates for both energy and peak demand. The ``User`s Guide`` is designed to assist DBEDT staff in the operation of DSAM. Supporting information on model structure and data inputs are provided in Volumes 2 and 3 of the Final Report. DSAM is designed to provide DBEDT estimates of the potential DSM resource for each county in Hawaii by measure, program, sector, year, and levelized cost category. The results are provided for gas and electric and for both energy and peak demand. There are two main portions of DSAM, the residential sector and the commercial sector. The basic underlying logic for both sectors are the same. However, there are some modeling differences between the two sectors. The differences are primarily the result of (1) the more complex nature of the commercial sector, (2) memory limitations within Quattro Pro, and (3) the fact that the commercial sector portion of the model was written four months after the residential sector portion. The structure for both sectors essentially consists of a series of input spreadsheets, the portion of the model where the calculations are performed, and a series of output spreadsheets. The output spreadsheets contain both detailed and summary tables and graphs.

  6. The Economics of Green Building

    E-Print Network [OSTI]

    Eichholtz, Piet; Kok, Nils; Quigley, John M.

    2010-01-01

    the site and source energy usage of each building, inIn contrast, source energy usage refers to the aggregate ofis obtained by aggregating energy usage for natural gas,

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

    E-Print Network [OSTI]

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

    2013-01-01

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

  8. Semi-microscopic modeling of heavy-ion fusion reactions with multi-reference covariant density functional theory

    E-Print Network [OSTI]

    K. Hagino; J. M. Yao

    2015-04-15

    We describe low-lying collective excitations of atomic nuclei with the multi-reference covariant density functional theory, and combine them with coupled-channels calculations for heavy-ion fusion reactions at energies around the Coulomb barrier. To this end, we use the calculated transition strengths among several collective states as inputs to the coupled-channels calculations. This approach provides a natural way to describe anharmonic multi-phonon excitations as well as a deviation of rotational excitations from a simple rigid rotor. We apply this method to subbarrier fusion reactions of $^{58}$Ni+$^{58}$Ni, $^{58}$Ni+$^{60}$Ni and $^{40}$Ca+$^{58}$Ni systems. We find that the effect of anharmonicity tends to smear the fusion barrier distributions, better reproducing the experimental data compared to the calculations in the harmonic oscillator limit.

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

    E-Print Network [OSTI]

    Aickelin, Uwe

    2011-01-01

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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

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

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

    E-Print Network [OSTI]

    Yaghoobian, Neda; Kleissl, Jan

    2012-01-01

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

  12. BUILDING NAMES AA Architecture Building

    E-Print Network [OSTI]

    Dawson, Jeff W.

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

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

    E-Print Network [OSTI]

    Brent, Roger

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

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

    Office of Scientific and Technical Information (OSTI)

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

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

    Open Energy Info (EERE)

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

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

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

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

  17. Professional References Ready Reference E-11

    E-Print Network [OSTI]

    Professional References Ready Reference E-11 College of Engineering, Architecture & Technology College of Engineering, Architecture & Technology Career Services Office ATRC 109E Stillwater, OK 74078 requested to do so. Create a separate sheet entitled "References." Print it on the same high quality papers

  18. Supplementary Materials to "Adaptive Output-Feedback Control for Relative Degree Two Systems Based on Closed-Loop Reference Models"

    E-Print Network [OSTI]

    Qu, Zheng

    2015-09-14

    Abstract--- In this paper, a new adaptive output-feedback controller for multi-input-multi-output (MIMO) linear plant models with relative degree two is developed. The adaptive controller includes a baseline design based ...

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

    SciTech Connect (OSTI)

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

    1999-02-01

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

  20. Energy-Efficient Building HVAC Control Using Hybrid System LBMPC

    E-Print Network [OSTI]

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

    2012-01-01

    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...

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

    E-Print Network [OSTI]

    Stadler, Michael

    2012-01-01

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

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

    E-Print Network [OSTI]

    Manning, Ryan T.

    2012-12-14

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

  3. 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."

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

    E-Print Network [OSTI]

    Nordlund, Kai

    2011-01-01

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

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

    SciTech Connect (OSTI)

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

    1997-01-01

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

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

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

    Williams, W.R.

    1985-03-01

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

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

    E-Print Network [OSTI]

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

    2010-01-01

    . The work focuses on developing systematically calibrated CFD models for controlled environments that include clean rooms, health environments, pharmaceutical storage rooms and information and communication technology locations, utilizing wireless sensor...

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

    E-Print Network [OSTI]

    Wetter, Michael

    2010-01-01

    and the temperature of the boiler is con- trolled based onDampers Motors Valves Boilers Chillers Delays HeatExchangersuid ?ow systems. A dynamic boiler model is in Fluid.Boilers

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

    E-Print Network [OSTI]

    Wetter, Michael

    2013-01-01

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

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

    SciTech Connect (OSTI)

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

    2014-12-06

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

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

    SciTech Connect (OSTI)

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

    2012-03-19

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

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

    E-Print Network [OSTI]

    Schiavon, Stefano; Lee, Kwang Ho

    2013-01-01

    Huang and C. Pedersen, EnergyPlus: Creating a New-generation17] EnergyPlus.2010. EnergyPlus Engineering Reference.The Reference to EnergyPlus Calculations. http://

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

    E-Print Network [OSTI]

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

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

  17. Building America

    SciTech Connect (OSTI)

    Brad Oberg

    2010-12-31

    IBACOS researched the constructability and viability issues of using high performance windows as one component of a larger approach to building houses that achieve the Building America 70% energy savings target.

  18. CBE UFAD cost analysis tool: Life cycle cost model, issues and assumptions

    E-Print Network [OSTI]

    Webster, Tom; Benedek, Corinne; Bauman, Fred

    2008-01-01

    Building Maintenance and Repair Cost Reference. ” WhitestoneJ. Wallis and H. Lin. 2008. “CBE UFAD Cost Analysis Tool:UFAD First Cost Model, Issues and Assumptions. ” Center for

  19. Quick-Reference Guide to Optimization with

    E-Print Network [OSTI]

    Nikolic, Branislav K.

    Quick-Reference Guide to Optimization with Intel® Compilers version 11 For IA-32 processors, Intel, you may want to check correctness of your application by building it without optimization using /Od (-O0). In this compiler version, all optimization levels assume support for the SSE2 instruction set

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

    SciTech Connect (OSTI)

    Not Available

    2014-12-01

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