National Library of Energy BETA

Sample records for building models date

  1. Building Number/Name: Date prepared: Responsible Contractor:

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

    Building Energy Use Benchmarking Building Energy Use Benchmarking Benchmarking is the practice of comparing the measured performance of a device, process, facility, or organization to itself, its peers, or established norms, with the goal of informing and motivating performance improvement. When applied to building energy use, benchmarking serves as a mechanism to measure energy performance of a single building over time, relative to other similar buildings, or to modeled simulations of a

  2. Building Energy Modeling Library

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

    eere.energy.gov Project Overview Building Energy Modeling (BEM) Library * Define and ... currently applied to potential energy efficiency measures by building owners when ...

  3. Building Number/Name: Date prepared: Responsible Contractor:

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

    07-SX Jan 29, 2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: SOLID Period of beryllium operations (dates): Start: Early 1980s End: Mid 1990s Location(s) in facility that contained beryllium materials: Shop Description of beryllium activities: In July 2003, employees reported Beryllium tools (beryllium-copper alloy containing about 2% beryllium) may have been stored in the shop in the past. In the early 1990s, the building was used as a shop to

  4. Building Number/Name: Date prepared: Responsible Contractor:

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

    S Feb 10, 2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: SOLID Period of beryllium operations (dates): Start: Early 1980s End: Mid 1990s Location(s) in facility that contained beryllium materials: Shop Description of beryllium activities: In July 2003, employees reported Beryllium tools (beryllium-copper alloy containing about 2% beryllium) may have been stored in the shop in the past. Prior to the 1980s, the building was used as a Tank Farm

  5. DATE

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

    2011 Buildings Energy Data Book March 2012 Prepared for the Buildings Technologies Program Energy Efficiency and Renewable Energy U.S. Department of Energy by D&R International, Ltd. under contract to Pacific Northwest National Laboratory This version is dated: March 2012 This document was designed for the internal use of the United States Department of Energy. This document will be occasionally updated and, therefore, this copy may not reflect the most current version. This document was

  6. 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...

  7. Building Number/Name: Date prepared: Responsible Contractor:

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

    2-AW Feb 10,2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: SOLID Period of beryllium operations (dates): Start: Early 1980s End: Present Location(s) in facility that contained beryllium materials: Tool Crib and adjacent Supply Room, and Mechanical Maintenance Area. Description of beryllium activities: Beryllium tools (beryllium-copper alloy containing about 2% beryllium) are stored in the Tool Crib and given to employees for use in Tank Farms,

  8. Building Number/Name: Date prepared: Responsible Contractor:

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

    WA February 7, 2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: SOLID Period of beryllium operations (dates): Start: Early 1980s End: Present Location(s) in facility that contained beryllium materials: Tool Crib inside Maintenance Shop Supply Room Description of beryllium activities: Beryllium tools (beryllium-copper alloy containing about 2% beryllium) are stored in the tool crib and given to employees for use in Tank Farms. These tools are

  9. Building Number/Name: Date prepared: Responsible Contractor:

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

    22-S February 2, 2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: LIQUID matrix Period of beryllium operations (dates): (1) Start: 1960 End: 1960; and (2) in early 1970s but not later than 1975. Location(s) in facility that contained beryllium materials: (1) Laboratories 4A and 4B; and (2) Laboratory 1K. Description of beryllium activities: (1) A September 1960 report noted a laboratory study to determine what materials will pass into solution

  10. Building Number/Name: Date prepared: Responsible Contractor:

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

    3-E Jan 28, 2012 WRPS C M Smith; E A Hill PAST OPERATIONS Beryllium brought in facility: YES Form of beryllium: SOLID Period of beryllium operations (dates): Start: Early 1980s End: Present Location(s) in facility that contained beryllium materials: Tool Crib Description of beryllium activities: Beryllium tools (beryllium-copper alloy containing about 2% beryllium) are stored in a drawer in the tool crib and given to employees for use in Tank Farms. These tools are then returned to the tool

  11. Autotune Building Energy Models

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

    quantification to determine importance of individual parameters * Suite of machine learning algorithms to generate calibration functions based on building dynamics * ...

  12. DATE:

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

    DATE: February 1, 2012 TO: Procurement Directors FROM: Director, Office of Procurement and Assistance Policy Office of Procurement and Assistance Management SUBJECT: Acquisition...

  13. DATE:

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

    38 DATE: May 03, 2012 TO: Procurement Directors FROM: Director, Contract and Financial Assistance Policy Division Office of Policy Office of Procurement and Assistance Management...

  14. DATE:

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

    POLICY FLASH 2013-45 DATE: April 16, 2013 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and ...

  15. DATE:

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

    61 DATE: June 19, 2013 TO: Procurement Directors FROM: Director Policy Division Office of Procurement and Assistance Policy Office of Acquisition and Project Management SUBJECT: ...

  16. DATE:

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

    5 DATE: April 10, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  17. DATE:

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

    1 DATE: March 10, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  18. DATE:

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

    3-12 DATE: December 7, 2012 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  19. DATE:

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

    4-35 DATE: July 09, 2014 TO: Procurement Directors FROM: Director Contract and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management ...

  20. DATE:

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

    36 DATE: April 23, 2012 TO: Procurement Directors FROM: Director, Policy Division Office of Procurement and Assistance Policy Office of Procurement and Assistance Management...

  1. Property:Buildings/ModelYear | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Date. Pages using the property "BuildingsModelYear" Showing 12 pages using this property. G General Merchandise 2009 TSD...

  2. Property:Buildings/ModelBuildingType | Open Energy Information

    Open Energy Info (EERE)

    Religious Worship Service Warehouse and Storage Other Vacant Pages using the property "BuildingsModelBuildingType" Showing 12 pages using this property. G General Merchandise...

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

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

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

  4. DATE:

    Office of Legacy Management (LM)

    -RL5- DATE: September 13, 1990 TO: Alexander Williams (w 39 fusrap6 I FROM: Ed Mitchellzm SUBJECT: Elimination Recommendation for American Machine and Foundry in New York City The...

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

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

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

  6. DATE

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

    16 SECTION A. Project Title: GaRDS Vehicle X-Ray System Procurement, Installation and Operations SECTION B. Project Description: . This effort will be to procure, install, and operate a Gamma Radiation Detection System (GaRDS) capable of providing X-Ray images of incoming vehicles and delivery trucks. The scanner will be equipped with a 1 Ci Cobalt-60 gamma source and will be installed in building MFC-736. This security building is located on Taylor Blvd approximately one mile south of the

  7. DATE:

    Office of Legacy Management (LM)

    a? ,itbd States Government memorandum Department of Energy DATE: APR 15 893 REPLY TO EM-421 (W. Williams, 903-8149) ATTN OF: Authorization for Remedial Action at the Former Associate Aircraft Site in SUBJECT: Fairfield, Ohio TO: W. Seay, DOE Oak Ridge Field Office The former Associate Aircraft Tool and Manufacturing, Inc., site at 3660 Dixie Highway, Fairfield, Ohio, is designated for remedial action under the Formerly Utilized Sites Remedial Action Program (FUSRAP). Force Control Industries is

  8. Dated:

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

    cause appearing, IT IS HEREBY ORDERED: 1. The Schedule Scheduling Order is stayed pending execution of a settlement agreement and stipulated final order. Dated: ~ /,/ .,2015 Christopher T. Saucedo Hearing Officer 3 Complainant, v. UNITED STATES DEPARTMENT OF ENERGY, and NUCLEAR WASTE PARTNERSHIP, LLC, Respondents. No. HWB 14-21 (CO) CERTIFICATE OF SERVICE I hereby certify that a copy of the STIPULATED JOINT MOTION TO STAY THE SCHEDULING ORDER has been sent electronically to the following on May

  9. DATE:

    Office of Legacy Management (LM)

    DATE: AUG 12 1991 REPLY TO ATTN OF: EM-421 (J. Wagoner, 3-8147) SUBIECT: Elimination of the Duriron Company Site TO: The File I have reviewed the attached site summary and elimination recommendation for the Duriron Company Site in Dayton, Ohio. I have determined that there is little likelihood of radioactive contamination at this site. Based on the above, the Ouriron Company Site is hereby eliminated from further consideration under the Formerly Utilized Sites Remedial Action Program. W.

  10. Date

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

    Template Revised: 6/12/2014 Template Reviewed: 6/12/2014 Operated for the U.S. Department of Energy by Sandia Corporation P.O. Box 5800 MS-1461 Albuquerque, New Mexico 87185-1461 Date Contractor Name Address Attention: Based on our earlier discussions, the Contract Audit Department at Sandia Corporation, which operates Sandia National Laboratories (Sandia) will audit costs incurred through your fiscal year ending XXXXXX on the following contracts placed with your company: Contract(s) Type of

  11. DATE:

    Office of Environmental Management (EM)

    Portaledge, March 2010 | Department of Energy Cyber Security Audit and Attack Detection Toolkit: Bandolier and Portaledge, March 2010 Cyber Security Audit and Attack Detection Toolkit: Bandolier and Portaledge, March 2010 This project of the cyber security audit and attack detection toolkit will employ Bandolier Audit Files for optimizing security configurations and the Portaledge event detection capability for energy control systems. By building configuration audit and attack detection

  12. DATE

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

    5 SECTION A. Project Title: DOE-EM Traineeship in Robotics - Carnegie Mellon University SECTION B. Project Description Carnegie Mellon University (CMU) proposes to develop an Environmental Management (EM) Traineeship in robotics. The traineeship will build on the existing core robotics curricula while introducing specialized topics that ensure a thorough understanding of EM-relevant concerns. The proposed program will also incorporate supervised research opportunities with CMU faculty advisors

  13. DATE

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

    2-003 SECTION A. Project Title: CPP-684 - Remote Analytical Laboratory Facility Modifications SECTION B. Project Description The proposed activities are intended to render CPP-684 Remote Analytical Laboratory (RAL) as a limited access area by removing existing operational functions that are currently performed in the facility. In general, the activities will involve (1) removing the need for building heat and overall reduction of power consumption; (2) converting the existing fire protection

  14. DATE

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

    4 SECTION A. Project Title: Materials and Fuels Complex (MFC) Infrastructure Upgrades - Technical Support Building SECTION B. Project Description: Materials and Fuels Complex (MFC) Infrastructure Upgrades - General The number of researchers and operators at the Materials and Fuels Complex has significantly increased, and is projected to increase further in the future to support the expanding research activities at the facility. These activities will require infrastructure upgrades (office space,

  15. DATE

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

    4-017 SECTION A. Project Title: Test Reactor Area (TRA)-653 Conference Room Modifications SECTION B. Project Description: The Advanced Test Reactor (ATR) Maintenance Shop, building Test Reactor Area (TRA)-653, located at the ATR Complex, has an upstairs conference room capable of being used as one large conference room or can be split into two conference rooms by a sliding curtain divider. The current configuration causes meeting interruptions due to the one available door limiting personnel

  16. DATE:

    Office of Legacy Management (LM)

    -RL5- DATE: September 13, 1990 TO: Alexander Williams (w 39 fusrap6 I FROM: Ed Mitchellzm SUBJECT: Elimination Recommendation for American Machine and Foundry in New York City The purpose of this note is to provide the following with respect to the former American Machine and Foundry Company (AMF) in New York City, New York--FUSRAP Considered Site Recommendation (g/13/90). 1 he recommendation is to eliminate the AMF New York City sites. If you agree, then please return an "approved"

  17. DATE:

    Office of Legacy Management (LM)

    OOE F 1325.3 m e m o randum DATE: SEP 23 1988 Department of Energy IL_. 9 REPLY TO AlTN OF, NE-23 SUElJECT. Owner Searches for Potential Sites in Chicago IL, (7 TO: W . Cottrell, ORNL 0. Kozlouski, OTS W h ile in Chicago, Illinois, on September 13, 14, and 15, 1988, I drove to the suspected addresses of several potential FUSRAP sites. No owners were contacted during this activity because most of the work was done after normal working hours or while on the way to the airport when tim e would not

  18. Date:

    Office of Legacy Management (LM)

    Tetra Tech 3801 Automation Way, Suite 100, Fort Collins, CO 80525 Tel 970.223.9600 Fax 970.223.7171 www. tetratech.com Technical Memorandum To: Rick DiSalvo, Stephen Pitton, Mel Madril From: Jackie Blumberg, PE Company: U.S. Department of Energy Date: December 19, 2013 CC: Tom Chapel, PE; Amber Kauffman, PE Project No.: 114-181750 Re: OLF Berm Height Evaluation Using Site-Specific Data INTRODUCTION Tetra Tech performed statistical analyses on rainfall data collected at the Rocky Flats site over

  19. Property:Buildings/Models | Open Energy Information

    Open Energy Info (EERE)

    It links to pages that use the form Buildings Publication. Pages using the property "BuildingsModels" Showing 2 pages using this property. G General Merchandise 50% Energy...

  20. Building Energy Simulation & Modeling | Department of Energy

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

    Simulation & Modeling Building Energy Simulation & Modeling Lead Performer: Lawrence ... Development (CBERD) conducts energy efficiency research and development with a focus ...

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

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

    Building Energy Modeling Library - 2013 BTO Peer Review Building Energy Modeling Library - 2013 BTO Peer Review Commercial Buildings Integration Project for the 2013 Building...

  2. Building Energy Modeling | Department of Energy

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

    Emerging Technologies » Building Energy Modeling Building Energy Modeling About the portfolio Building energy modeling (BEM)-physics-based calculation of building energy consumption-is a multi-use tool for building energy efficiency. Established use cases include design of new buildings and deep retrofits, development of whole-building energy efficiency codes and standards (e.g., ASHRAE 90.1) and performance-path compliance with those codes (e.g., ASHRAE 90.1 "Appendix G" Performance

  3. Building Energy Modeling Projects | Department of Energy

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

    Energy Simulation Tools Competitively Awarded Projects BENEFIT: A New Hybrid Approach to Energy Modeling BUILD: User-Oriented Modeling Tools for Advanced Hybrid and ...

  4. Molecular replacement and model-building using distant homology models as

    Office of Scientific and Technical Information (OSTI)

    templates (Technical Report) | SciTech Connect Molecular replacement and model-building using distant homology models as templates Citation Details In-Document Search Title: Molecular replacement and model-building using distant homology models as templates Authors: Terwilliger, Thomas C. [1] + Show Author Affiliations Los Alamos National Laboratory [Los Alamos National Laboratory Publication Date: 2013-11-26 OSTI Identifier: 1107986 Report Number(s): LA-UR-13-29025 DOE Contract Number:

  5. Computer Model Buildings Contaminated with Radioactive Material

    Energy Science and Technology Software Center (OSTI)

    1998-05-19

    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.

  6. Category:Building Models | Open Energy Information

    Open Energy Info (EERE)

    category "Building Models" The following 12 pages are in this category, out of 12 total. G General Merchandise 2009 TSD Chicago High Plug Load 50% Energy Savings General...

  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. Better Buildings Neighborhood Program Business Models Guide: HVAC

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

    Contractor Business Model | Department of Energy HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model. PDF icon HVAC Contractor Business Model More Documents & Publications Better Buildings Neighborhood Program Business Models Guide: HVAC Contractor Business Model Conclusion Better Buildings Neighborhood Program Business Models

  9. Molecular replacement and model-building using distant homology...

    Office of Scientific and Technical Information (OSTI)

    Molecular replacement and model-building using distant homology models as templates Citation Details In-Document Search Title: Molecular replacement and model-building using...

  10. 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.

  11. Form:Buildings Model | Open Energy Information

    Open Energy Info (EERE)

    with that name already exists, you will be sent to a form to edit that page. Create or edit Retrieved from "http:en.openei.orgwindex.php?titleForm:BuildingsModel&oldid270041...

  12. Building a next-generation community ice sheet model: meeting...

    Office of Scientific and Technical Information (OSTI)

    Journal Article: Building a next-generation community ice sheet model: meeting summary Citation Details In-Document Search Title: Building a next-generation community ice sheet ...

  13. Building America Top Innovations Hall of Fame Profile … Model...

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

    Building America research has improved our ability to model hot water use so new hot water ... Energy savings for certain residential building technologies depend greatly on occupant ...

  14. Building Energy Modeling Subprogram Overview - 2016 BTO Peer...

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

    This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office's Building Energy Modeling Subprogram. Through robust feedback, the BTO Program ...

  15. Building a next-generation community ice sheet model: meeting summary

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Journal Article: Building a next-generation community ice sheet model: meeting summary Citation Details In-Document Search Title: Building a next-generation community ice sheet model: meeting summary No abstract prepared. Authors: Lipscomb, William [1] ; Price, Stephen [1] ; Bueler, Ed [2] ; Holland, David [3] ; Johnson, Jesse [4] + Show Author Affiliations Los Alamos National Laboratory UNIV OF ALASKA NEW YORK UNIV UNIV OF MONTANA Publication Date:

  16. Building the RHIC tracking lattice model

    SciTech Connect (OSTI)

    Luo, Y.; Fischer, W.; Tepikian, S.

    2010-01-27

    In this note we outline the procedure to build a realistic lattice model for the RHIC beam-beam tracking simulation. We will install multipole field errors in the arc main dipoles, arc main quadrupols and interaction region magnets (DX, D0, and triplets) and introduce a residual closed orbit, tune ripples, and physical apertures in the tracking lattice model. Nonlinearities such as local IR multipoles, second order chromaticies and third order resonance driving terms are also corrected before tracking.

  17. Date | Open Energy Information

    Open Energy Info (EERE)

    Date Jump to: navigation, search Properties of type "Date" Showing 48 properties using this type. A Property:ASHRAE 169 End Date Property:ASHRAE 169 Start Date B Property:Building...

  18. BTO Seeks Comments on Draft Building Energy Modeling Roadmap | Department

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

    of Energy BTO Seeks Comments on Draft Building Energy Modeling Roadmap BTO Seeks Comments on Draft Building Energy Modeling Roadmap The Department of Energy's Building Technologies Office (BTO) seeks input from stakeholders on a draft Building Energy Modeling Roadmap. The draft Roadmap provides background and context, then outlines steps that BTO's contractor recommends to help increase the use of BEM tools for the design and operation of energy-efficient buildings. The draft Roadmap is

  19. Scripted Building Energy Modeling and Analysis: Preprint

    SciTech Connect (OSTI)

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

    2012-08-01

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

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

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

    Program Administrator Business Model | Department of Energy Non-Utility Program Administrator Business Model Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model Better Buildings Neighborhood Program Business Models Guide: Non-Utility Program Administrator Business Model. PDF icon Non-Utility Program Administrator Business Model More Documents & Publications Better Buildings Neighborhood Program Business Models Guide: Non-Utility

  1. Commercial Buildings Sector Agent-Based Model | Open Energy Informatio...

    Open Energy Info (EERE)

    OpenEI Keyword(s): EERE tool, Commercial Buildings Sector Agent-Based Model Language: English References: Building Efficiency: Development of an Agent-based Model of the US...

  2. 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.

  3. 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.

  4. 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.

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

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

    Energy 5 BTO Peer Review Building Energy Modeling Overview - 2015 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy View the Presentation PDF icon Building Energy Modeling Overview - 2015 BTO Peer Review More Documents & Publications Building Energy Modeling Overview - 2014 BTO Peer Review Building Energy Modeling Subprogram Overview - 2016 BTO Peer Review Architecture firm Skidmore, Owings & Merrill (SOM) used EnergyPlus to design a new 380,000 square foot federal

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

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

    Energy Library - 2013 BTO Peer Review Building Energy Modeling Library - 2013 BTO Peer Review Commercial Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review PDF icon commlbldgs03_franconi_040213.pdf More Documents & Publications Technology Performance Exchange - 2013 BTO Peer Review Whole Building Performance-Based Procurement Training Autotune - 2013 BTO Peer Review

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

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

    Energy 4 BTO Peer Review Building Energy Modeling Overview - 2014 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy This presentation at the 2014 Peer Review provided an overview of the Building Technologies Office's Building Energy Modeling activities. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs. View the Presentation PDF icon Building Energy Modeling Overview - 2014 BTO Peer Review More Documents &

  8. Building Energy Modeling Subprogram Overview - 2016 BTO Peer Review |

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

    Department of Energy Modeling Subprogram Overview - 2016 BTO Peer Review Building Energy Modeling Subprogram Overview - 2016 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office's Building Energy Modeling Subprogram. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs. PDF icon 2016 BTO Peer Review Presentation-Building Energy

  9. Building Energy Modeling Program Overview - 2016 BTO Peer Review...

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

    Modeling Program Overview - 2016 BTO Peer Review Building Energy Modeling Program Overview - 2016 BTO Peer Review Presenter: Amir Roth, U.S. Department of Energy This presentation ...

  10. Building Energy Modeling Program Overview — 2016 BTO Peer Review

    Broader source: Energy.gov [DOE]

    This presentation at the 2016 Peer Review provided an overview of the Building Technologies Office’s Building Energy Modeling Program. Through robust feedback, the BTO Program Peer Review enhances existing efforts and improves future designs.

  11. 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.

  12. Building Energy Modeling (BEM) Program Overview

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

    tool Operation: HVAC fault diagnosis, dynamic control & demand response * ... control & fault-detectiondiagnosis CBEI: Consortium for Commercial Building ...

  13. Commercial Buildings Integration Program Logic Model

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

    Array of building stakeholders use building energy performance data & tools to incorporate energy efficiency into appraisal, underwriting, & other financial transactions The Commercial Integration Program accelerates the adoption of energy saving technologies and solutions in existing and new commercial buildings of all types by reducing specific technical and market barriers to spur investment in building energy performance. External Influences: DOE budget, Construction industry, Energy

  14. Residential Buildings Integration Program Logic Model

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

    Building science curriculum, student competitions & workforce development Energy ... Energy assessment tool Curriculum and competitions Tech integration solutions Industry- ...

  15. The BEAM Project: Building Efficient Architectural Models

    K-12 Energy Lesson Plans and Activities Web site (EERE)

    This activity allows students the opportunity to explore materials used in architectural engineering and gain an understanding of their insolating properties. Students will research, design, build, test and improve a structure as to achieve the highest energy efficiency possible. Structures will be tested outside on a sunny day for eight hours with temperature changes being recorded each hour. Students will gain an understanding of how the combination of building location and orientation along with building design and materials can greatly affect the energy efficiency of a building.

  16. 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.

  17. 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.

  18. 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).

  19. 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.

  20. Buildings

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

    is allowing Commercial Buildings (ISO 50003 - Buildings and Building Complexes) ... SEP program, including associated standards, protocols, and application may be used ...

  1. Building Energy Model Development for Retrofit Homes

    SciTech Connect (OSTI)

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

    2012-09-30

    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.

  2. Building Energy Modeling 0017-1505

    Energy Savers [EERE]

    ... performance), 90.4 (data centers), 189.1 (green ... from US, Japan, China, and UK (including ... IES-VE (& DOE-2.2) * TMY3 weather, tall buildings, ...

  3. Building Energy Codes Program Logic Model

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

    provide funding to help measure & improve code compliance The Building Energy Codes Program aims to "lock in" savings from energy codes by participating in code development processes and supporting local and state governments in the adoption and implementation of progressively more advanced building energy codes across the country. External Influences: DOE budget, Construction industry, Real estate market, State/local policies & budget Objectives Activities / Partners Outputs

  4. 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.

  5. 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.

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

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

    Department of Energy Commercial Reference Building Models of the National Building Stock Michael Deru, Kristin Field, Daniel Studer, Kyle Benne, Brent Griffith, and Paul Torcellini National Renewable Energy Laboratory Bing Liu, Mark Halverson, Dave Winiarski, and Michael Rosenberg Pacific Northwest National Laboratory Mehry Yazdanian Lawrence Berkeley National Laboratory Joe Huang Formerly of Lawrence Berkeley National Laboratory Drury Crawley Formerly of the U.S. Department of Energy Technical

  7. 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.

  8. Property:Buildings/ModelName | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type String. Pages using the property "BuildingsModelName" Showing 12 pages using this property. G General Merchandise 2009 TSD...

  9. Property:Buildings/ModelType | Open Energy Information

    Open Energy Info (EERE)

    Minimum Cost Max Tech PV Takeoff Cost Neutral 30% Energy Savings 50% Energy Savings 70% Energy Savings Other Pages using the property "BuildingsModelType" Showing 12 pages using...

  10. Property:Buildings/ModelTargetType | Open Energy Information

    Open Energy Info (EERE)

    are: ASHRAE 90.1 2007 ASHRAE 90.1 2004 ASHRAE 189.1 LEED Pages using the property "BuildingsModelTargetType" Showing 12 pages using this property. G General Merchandise...

  11. Property:Buildings/ModelClimateZone | Open Energy Information

    Open Energy Info (EERE)

    Climate Zone 7A Climate Zone 7B Climate Zone 8A Climate Zone 8B Pages using the property "BuildingsModelClimateZone" Showing 12 pages using this property. G General Merchandise...

  12. Model Car Race, Building Competition Illuminate Solar Energy - News

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

    Releases | NREL Model Car Race, Building Competition Illuminate Solar Energy Golden, CO. - Media Advisory Attention: Photo Editors / Assignment Editors May 7, 2003 Tapping the power of the sun will be the theme of the U.S. Department of Energy's National Renewable Energy Laboratory's (NREL) Junior Solar Sprint Solarbrate event on May 10. Visitors will see participating students race solar cars and build solar models using K'NEX construction toys. Sponsored by NREL, Kaiser-Hill, BP America,

  13. BTO Publishes Two Important Building Energy Modeling Documents | Department

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

    of Energy Publishes Two Important Building Energy Modeling Documents BTO Publishes Two Important Building Energy Modeling Documents February 10, 2016 - 3:41pm Addthis Selections from the front page of the BEM R&D roadmap draft and the recommended initiatives table. Image credit: Navigant Consulting. Selections from the front page of the BEM R&D roadmap draft and the recommended initiatives table. Image credit: Navigant Consulting. Amir Roth, Ph.D. Amir Roth, Ph.D. Building Energy

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

    SciTech Connect (OSTI)

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

    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.

  15. 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.

  16. 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 Energys 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.

  17. 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.

  18. 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.

  19. 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.

  20. Build-

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

    0. Cooling Equipment, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Build- ings*","Cooled Build- ings","Cooling Equipment (more than one may apply)" ,,,"Resid- ential- Type Central Air Condi- tioners","Heat Pumps","Indiv- idual Air Condi- tioners","District Chilled Water","Central Chillers","Pack- aged Air Condi- tioning Units","Swamp

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

    SciTech Connect (OSTI)

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

    2013-06-24

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

  2. CBERD: Building Energy Simulation and Modeling | Department of Energy

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

    Energy Simulation and Modeling CBERD: Building Energy Simulation and Modeling Figure 1: Screenshot of the alpha version of CBERD eDOT (early design optimization tool), an online tool that enables multi-parameter optimization. Source: LBNL. Figure 1: Screenshot of the alpha version of CBERD eDOT (early design optimization tool), an online tool that enables multi-parameter optimization. Source: LBNL. Figure 2: CBERD Model Predictive Control: Model identification and closed loop predictive control

  3. Evolutionary Tuning of Building Models to Monthly Electrical Consumption

    SciTech Connect (OSTI)

    Garrett, Aaron; New, Joshua Ryan; Chandler, Theodore

    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.

  4. 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...

  5. 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.

  6. 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.

  7. Build-

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

    1. Cooling Equipment, Floorspace for Non-Mall Buildings, 2003" ,"Total Floorspace (million square feet)" ,"All Build- ings*","Cooled Build- ings","Cooling Equipment (more than one may apply)" ,,,"Resid- ential- Type Central Air Condi- tioners","Heat Pumps","Indiv- idual Air Condi- tioners","District Chilled Water","Central Chillers","Pack- aged Air Condi- tioning Units","Swamp

  8. 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.

  9. Windows and Building Envelope Sub-Program Logic Model

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

    market entry & acceptance of window & building envelope product installation Improve testing & modeling capabilities, including window design tools to enable market adoption Technology pathways & research reports Improve performance & cost of near-term technologies & reduce manufacturing costs Documented low cost infiltration measurement methods Competitively funded projects to model attachments in window software tools Government, standards & industry orgs. & EE

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

    Broader source: Energy.gov [DOE]

    This Building America 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.

  12. Building 235-F Goldsim Fate And Transport Model

    SciTech Connect (OSTI)

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

    2012-09-14

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

  13. 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.

  14. OpenStudio Enhancements for Whole-building Daylighting, Airflow...

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

    ... Building Information Model Server Adopted a BIMserver approach toward the storage and ... funds have been expended to date. Budget History Feb. 1, 2013 to April 30, 2014 (current) ...

  15. 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.

  16. 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.

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

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

    Research » Building America Top Innovations Building America Top Innovations New Top Innovations are awarded annually for outstanding Building America research achievements. Each year, Building America selects cutting-edge Top Innovations that demonstrate the value of investing in high-performance research and development and guide the industry toward more energy-efficient, healthier, and longer lasting homes. Building America Top Innovations align with and support every aspect of the home

  18. Contam airflow models of three large buildings: Model descriptions and validation

    SciTech Connect (OSTI)

    Black, Douglas R.; Price, Phillip N.

    2009-09-30

    Airflow and pollutant transport models are useful for several reasons, including protection from or response to biological terrorism. In recent years they have been used for deciding how many biological agent samplers are needed in a given building to detect the release of an agent; to figure out where those samplers should be located; to predict the number of people at risk in the event of a release of a given size and location; to devise response strategies in the event of a release; to determine optimal trade-offs between sampler characteristics (such as detection limit and response time); and so on. For some of these purposes it is necessary to model a specific building of interest: if you are trying to determine optimal sampling locations, you must have a model of your building and not some different building. But for many purposes generic or 'prototypical' building models would suffice. For example, for determining trade-offs between sampler characteristics, results from one building will carry over other, similar buildings. Prototypical building models are also useful for comparing or testing different algorithms or computational pproaches: different researchers can use the same models, thus allowing direct comparison of results in a way that is not otherwise possible. This document discusses prototypical building models developed by the Airflow and Pollutant Transport Group at Lawrence Berkeley National Laboratory. The models are implemented in the Contam v2.4c modeling program, available from the National Institutes for Standards and Technology. We present Contam airflow models of three virtual buildings: a convention center, an airport terminal, and a multi-story office building. All of the models are based to some extent on specific real buildings. Our goal is to produce models that are realistic, in terms of approximate magnitudes, directions, and speeds of airflow and pollutant transport. The three models vary substantially in detail. The airport model is the simplest; the onvention center model is more detailed; and the large office building model is quite complicated. We give several simplified floor plans in this document, to explain basic features of the buildings. The actual models are somewhat more complicated; for instance, spaces that are represented as rectangles in this document sometimes have more complicated shapes in the models. (However, note that the shape of a zone is irrelevant in Contam). Consult the Contam models themselves for detailed floor plans. Each building model is provided with three ventilation conditions, representing mechanical systems in which 20%, 50%, or 80% of the building air is recirculated and the rest is provided from outdoors. Please see the section on 'Use of the models' for important information about issues to consider if you wish to modify the models to provide no mechanical ventilation or eliminate provision of outdoor air.

  19. Scalable Tuning of Building Models to Hourly Data

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    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-agnosticmore » 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.« less

  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. 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.

  2. 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.

  3. Windows and Building Envelope Sub-Program Logic Model

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

    & tools that reduce the amount of energy lost through building enclosures; contribute to ... products & systems that can reduce energy lost through building enclosures Manufacturers ...

  4. Building Energy Modeling Sub-Program Logic Model

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

    OS SDK supports E+ & RD. OS BCL has many measures. OS app supports model creation. OS server supports large scale analysis. Spawn-of-E+ uses Modelica & FMI to support third-party ...

  5. Critical Question #6: What are the Challenges and Solutions for Modeling Multifamily Buildings?

    Broader source: Energy.gov [DOE]

    There are a lot of differences between modeling single-family and multifamily buildings in regard to central systems, shared walls, shared spaces, etc. What is the best way to optimize energy efficiency packages? How does Building America work around the challenges of modeling these buildings? What tools do they have? What additions could improve the accuracy of simulation tools?

  6. 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.

  7. PROGRESS IN ENERGY EFFICIENT BUILDINGS

    SciTech Connect (OSTI)

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

    1982-12-01

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

  8. Modeling and Simulation of Human Behavior in Buildings

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

    ... Part I: Introduction to the DNAs Framework. Building and Environment, 2015. 4. X. Ren, D. Yan, T. Hong. Data Mining of Space Heating System Performance in Affordable Housing. ...

  9. 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.

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

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

    these questions) Is there value to integrating the existing models in building energy management systems with those of the grid? a. If so, what are the particular research...

  11. End-use Breakdown: The Building Energy Modeling Blog | Department of Energy

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

    End-use Breakdown: The Building Energy Modeling Blog End-use Breakdown: The Building Energy Modeling Blog RSS Welcome to the Building Technologies Office's Building Energy Modeling blog. April 14, 2016 A before-and-after image of the OpenStudio Measure "AEDG K-12 school daylighting package" demonstrates the surgical power of Measures. Source: NREL. There's a Measure for That! OpenStudio Measures are short programs that can be used to transform models, create custom visualizations and

  12. Building America Case Study: Community-Scale Energy Modeling...

    Energy Savers [EERE]

    Price Range: Not available Date completed: 1970s, 2000s Climate Zone: 3A, Hot-humid PERFORMANCE DATA Annual Energy Consumption: Average: 15,459 kWh Median: 15,252 kWh Standard ...

  13. Hybrid LCA model for assessing the embodied environmental impacts of buildings in South Korea

    SciTech Connect (OSTI)

    Jang, Minho; Hong, Taehoon; Ji, Changyoon

    2015-01-15

    The assessment of the embodied environmental impacts of buildings can help decision-makers plan environment-friendly buildings and reduce environmental impacts. For a more comprehensive assessment of the embodied environmental impacts of buildings, a hybrid life cycle assessment model was developed in this study. The developed model can assess the embodied environmental impacts (global warming, ozone layer depletion, acidification, eutrophication, photochemical ozone creation, abiotic depletion, and human toxicity) generated directly and indirectly in the material manufacturing, transportation, and construction phases. To demonstrate the application and validity of the developed model, the environmental impacts of an elementary school building were assessed using the developed model and compared with the results of a previous model used in a case study. The embodied environmental impacts from the previous model were lower than those from the developed model by 4.6–25.2%. Particularly, human toxicity potential (13 kg C{sub 6}H{sub 6} eq.) calculated by the previous model was much lower (1965 kg C{sub 6}H{sub 6} eq.) than what was calculated by the developed model. The results indicated that the developed model can quantify the embodied environmental impacts of buildings more comprehensively, and can be used by decision-makers as a tool for selecting environment-friendly buildings. - Highlights: • The model was developed to assess the embodied environmental impacts of buildings. • The model evaluates GWP, ODP, AP, EP, POCP, ADP, and HTP as environmental impacts. • The model presents more comprehensive results than the previous model by 4.6–100%. • The model can present the HTP of buildings, which the previous models cannot do. • Decision-makers can use the model for selecting environment-friendly buildings.

  14. Building Restoration Operations Optimization Model Beta Version 1.0

    Energy Science and Technology Software Center (OSTI)

    2007-05-31

    The Building Restoration Operations Optimization Model (BROOM), developed by Sandia National Laboratories, is a software product designed to aid in the restoration of large facilities contaminated by a biological material. BROOM’s integrated data collection, data management, and visualization software improves the efficiency of cleanup operations, minimizes facility downtime, and provides a transparent basis for reopening the facility. Secure remote access to building floor plans Floor plan drawings and knowledge of the HVAC system are criticalmore » to the design and implementation of effective sampling plans. In large facilities, access to these data may be complicated by the sheer abundance and disorganized state they are often stored in. BROOM avoids potentially costly delays by providing a means of organizing and storing mechanical and floor plan drawings in a secure remote database that is easily accessed. Sampling design tools BROOM provides an array of tools to answer the question of where to sample and how many samples to take. In addition to simple judgmental and random sampling plans, the software includes two sophisticated methods of adaptively developing a sampling strategy. Both tools strive to choose sampling locations that best satisfy a specified objective (i.e. minimizing kriging variance) but use numerically different strategies to do so. Surface samples are collected early in the restoration process to characterize the extent of contamination and then again later to verify that the facility is safe to reenter. BROOM supports sample collection using a ruggedized PDA equipped with a barcode scanner and laser range finder. The PDA displays building floor drawings, sampling plans, and electronic forms for data entry. Barcodes are placed on sample containers for the purpose of tracking the specimen and linking acquisition data (i.e. location, surface type, texture) to laboratory results. Sample location is determined by activating the integrated laser range finder which uses the PDA drawings to accurately measure position relative to nearby walls or other interior structures. The PDA and desktop application exchange information over a secure wireless network, Through this network, the progress of sampling activities may be monitored in real-time. PDA-acquired data is ultimately transferred over the network to the desktop where it is stored permanently in the project database. Once in the database, the data may be viewed, analyzed, or reported from the desktop. Mapping A picture is worth a thousand words. BROOM includes both inverse distance and kriging interpolation algorithms which are used to generate continuous contamination maps and display underlying confidence. Such maps greatly assist in interpreting discrete sample data and communicating results to others. Data Management The BROOM database provides a streamlined means of storing. retrieving, viewing, and analyzing the various data associated with recovery operations. Critical floor plan drawings and other pertinent images may be organized and stored in the database before an event occurs. History indicates that thousands of samples will need to be collected and analyzed by contractors, laboratories, government agencies. and other stakeholders. The BROOM database provides a secure, easy to use plafform, where these data may be centrally stored and shared among all concerned parties.« less

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

    SciTech Connect (OSTI)

    Griffith, B.

    2006-11-01

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

  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. A Good Sign for the Building Energy Modeling Industry | Department of

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

    Energy A Good Sign for the Building Energy Modeling Industry A Good Sign for the Building Energy Modeling Industry February 19, 2016 - 12:00pm Addthis Trimble’s recent acquisition of Sefaira and its pairing with SketchUp is a good sign for the BEM industry. Image credit: Sefaira. DOE. Trimble's recent acquisition of Sefaira and its pairing with SketchUp is a good sign for the BEM industry. Image credit: Sefaira. DOE. Amir Roth, Ph.D. Amir Roth, Ph.D. Building Energy Modeling Technology

  18. 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.

  19. Tips for Planning, Building, and Testing a Model Car

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

    Tips for Planning, Building, and Testing Your Lithium- Ion Battery Powered Car CONTENTS:  Teacher Overview  What Teachers Can Do To Help  Student Design Plan  Brainstorming  Materials  Chassis Design  Transmission  Gear Ratio  Wheels and Bearings  Battery  Testing  Trouble Shooting TEACHER OVERVIEW  The Lithium-ion battery powered car competition is designed to be an engineering challenge for middle school students.  Students will be exploring the

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

    SciTech Connect (OSTI)

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

    2013-01-01

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

  1. Visual-SOLAR: Modeling and Visualization of Solar Radiation Potential on Individual Building Rooftops

    Energy Science and Technology Software Center (OSTI)

    2013-05-01

    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 specificmore » characteristics, such as roof slope, roof aspect, and shadowing effects, that are critical to roof-mounted photovoltaic system. 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.« less

  2. Visual-SOLAR: Modeling and Visualization of Solar Radiation Potential on Individual Building Rooftops

    SciTech Connect (OSTI)

    2013-05-01

    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 system. 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.

  3. Junior Solar Sprint - So.. You Want To Build A Model Solar Car

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

    6 Revised 8/23/01 So... You Want To Build A Model Solar Car 2 TABLE OF CONTENTS TOPIC PAGE SOLAR ENERGY . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 4 Teacher Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . .4 Activity One . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5 Activity Two . . . . . . . . . . . . . . . . .

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

    Broader source: Energy.gov [DOE]

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

  5. Comparing EM Models to RCS Measurements for Building-Penetration Radar

    SciTech Connect (OSTI)

    Fasenfest, B; Ueberschaer, R

    2007-05-18

    For the DARPA VisiBuilding program, SRI International and Lawrence Livermore National Laboratory are using a variety of electromagnetic (EM) simulation codes and measurement techniques to analyze how radar pulses interact with building structures and materials. Of primary interest is how interior wall and corner reflections are delayed, attenuated, and dispersed by the exterior wall materials. In this paper, we compare microwave frequency-domain radar cross section (RCS) chamber measurements of scale models of simple buildings to finite-element and finite-difference full-wave time-domain and ray-tracing models. The ability to accurately reconstruct the building from these models is compared with the reconstruction from chamber measurements. We observe that careful attention to the spatial sampling in the EM models is essential to achieving good reconstruction at the higher frequencies.

  6. 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.

  7. Interactive graphical model building using telepresence and virtual reality

    SciTech Connect (OSTI)

    Cooke, C.; Stansfield, S.

    1993-10-01

    This paper presents a prototype system developed at Sandia National Laboratories to create and verify computer-generated graphical models of remote physical environments. The goal of the system is to create an interface between an operator and a computer vision system so that graphical models can be created interactively. Virtual reality and telepresence are used to allow interaction between the operator, computer, and remote environment. A stereo view of the remote environment is produced by two CCD cameras. The cameras are mounted on a three degree-of-freedom platform which is slaved to a mechanically-tracked, stereoscopic viewing device. This gives the operator a sense of immersion in the physical environment. The stereo video is enhanced by overlaying the graphical model onto it. Overlay of the graphical model onto the stereo video allows visual verification of graphical models. Creation of a graphical model is accomplished by allowing the operator to assist the computer in modeling. The operator controls a 3-D cursor to mark objects to be modeled. The computer then automatically extracts positional and geometric information about the object and creates the graphical model.

  8. End-use Breakdown: The Building Energy Modeling Blog

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

    Modeling Blog en EnergyPlus Logo Debuts on Revit Toolbar http:energy.goveerebuildingsarticlesenergyplus-logo-debuts-revit-toolbar

  9. Energy Savings Modelling of Re-tuning Energy Conservation Measures in Large Office Buildings

    SciTech Connect (OSTI)

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

    2014-10-20

    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 BASs capabilities and are not properly commissioned, operated or maintained, which leads to inefficient operation, increased energy use, and reduced lifetimes of the equipment. This paper investigates the energy savings potential of several common HVAC system re-tuning measures on a typical large office building, using the Department of Energys 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 the individual measures and combinations were simulated in 16 climate locations 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 total 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 re-tuning 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.

  10. Building Energy Code

    Broader source: Energy.gov [DOE]

    Prior to 1997, South Carolina's local governments adopted and enforced the building codes. In 1997, the law required statewide use of the most up-to-date building codes, which then required the...

  11. 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.

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

    SciTech Connect (OSTI)

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

    2006-08-01

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

  13. 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.

  14. 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.

  15. 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.

  16. Building energy analysis tool

    DOE Patents [OSTI]

    Brackney, Larry; Parker, Andrew; Long, Nicholas; Metzger, Ian; Dean, Jesse; Lisell, Lars

    2016-04-12

    A building energy analysis system includes a building component library configured to store a plurality of building components, a modeling tool configured to access the building component library and create a building model of a building under analysis using building spatial data and using selected building components of the plurality of building components stored in the building component library, a building analysis engine configured to operate the building model and generate a baseline energy model of the building under analysis and further configured to apply one or more energy conservation measures to the baseline energy model in order to generate one or more corresponding optimized energy models, and a recommendation tool configured to assess the one or more optimized energy models against the baseline energy model and generate recommendations for substitute building components or modifications.

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

    SciTech Connect (OSTI)

    Kroposki, B.; Komomua, C.; O'Malley, M.

    2013-01-01

    This report summarizes the workshop entitled: From the Building to the Grid: An Energy Revolution and Modeling Challenge. The first workshop was held May 1-2, 2012 on NREL's campus in Golden, Colorado. The second was held June 6-7, 2012 at the University College Dublin, in Dublin, Ireland.

  18. Field measurement of moisture-buffering model inputs for residential buildings

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Woods, Jason; Winkler, Jon

    2016-02-05

    Moisture adsorption and desorption in building materials impact indoor humidity. This effect should be included in building-energy simulations, particularly when humidity is being investigated or controlled. Several models can calculate this moisture-buffering effect, but accurate ones require model inputs that are not always known to the user of the building-energy simulation. This research developed an empirical method to extract whole-house model inputs for the effective moisture penetration depth (EMPD) model. The experimental approach was to subject the materials in the house to a square-wave relative-humidity profile, measure all of the moisture-transfer terms (e.g., infiltration, air-conditioner condensate), and calculate the onlymore » unmeasured term—the moisture sorption into the materials. We validated this method with laboratory measurements, which we used to measure the EMPD model inputs of two houses. After deriving these inputs, we measured the humidity of the same houses during tests with realistic latent and sensible loads and demonstrated the accuracy of this approach. Furthermore, these results show that the EMPD model, when given reasonable inputs, is an accurate moisture-buffering model.« less

  19. Equation-based languages – A new paradigm for building energy modeling, simulation and optimization

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wetter, Michael; Bonvini, Marco; Nouidui, Thierry S.

    2016-04-01

    Most of the state-of-the-art building simulation programs implement models in imperative programming languages. This complicates modeling and excludes the use of certain efficient methods for simulation and optimization. In contrast, equation-based modeling languages declare relations among variables, thereby allowing the use of computer algebra to enable much simpler schematic modeling and to generate efficient code for simulation and optimization. We contrast the two approaches in this paper. We explain how such manipulations support new use cases. In the first of two examples, we couple models of the electrical grid, multiple buildings, HVAC systems and controllers to test a controller thatmore » adjusts building room temperatures and PV inverter reactive power to maintain power quality. In the second example, we contrast the computing time for solving an optimal control problem for a room-level model predictive controller with and without symbolic manipulations. As a result, exploiting the equation-based language led to 2, 200 times faster solution« less

  20. Energy Efficient Buildings Hub | Department of Energy

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

    This model of a renovated historic building -- Building 661 -- in Philadelphia will house ... This model of a renovated historic building -- Building 661 -- in Philadelphia will house ...

  1. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Release Date: July 12, 2012 | Revised Date: June 19, 2014 The Commercial Buildings Energy Consumption Survey (CBECS) project cycle spans at least four years, beginning with ...

  2. A Bayesian Machine Learning Model for Estimating Building Occupancy from Open Source Data

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Stewart, Robert N.; Urban, Marie L.; Duchscherer, Samantha E.; Kaufman, Jason; Morton, April M.; Thakur, Gautam; Piburn, Jesse; Moehl, Jessica

    2016-01-01

    Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the artmore » by introducing the Population Data Tables (PDT), a Bayesian based informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the art by introducing the Population Data Tables (PDT), a Bayesian model and informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000 ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.« less

  3. A Bayesian Machine Learning Model for Estimating Building Occupancy from Open Source Data

    SciTech Connect (OSTI)

    Stewart, Robert N.; Urban, Marie L.; Duchscherer, Samantha E.; Kaufman, Jason; Morton, April M.; Thakur, Gautam; Piburn, Jesse; Moehl, Jessica

    2016-01-01

    Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the art by introducing the Population Data Tables (PDT), a Bayesian based informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.Understanding building occupancy is critical to a wide array of applications including natural hazards loss analysis, green building technologies, and population distribution modeling. Due to the expense of directly monitoring buildings, scientists rely in addition on a wide and disparate array of ancillary and open source information including subject matter expertise, survey data, and remote sensing information. These data are fused using data harmonization methods which refer to a loose collection of formal and informal techniques for fusing data together to create viable content for building occupancy estimation. In this paper, we add to the current state of the art by introducing the Population Data Tables (PDT), a Bayesian model and informatics system for systematically arranging data and harmonization techniques into a consistent, transparent, knowledge learning framework that retains in the final estimation uncertainty emerging from data, expert judgment, and model parameterization. PDT probabilistically estimates ambient occupancy in units of people/1000 ft2 for over 50 building types at the national and sub-national level with the goal of providing global coverage. The challenge of global coverage led to the development of an interdisciplinary geospatial informatics system tool that provides the framework for capturing, storing, and managing open source data, handling subject matter expertise, carrying out Bayesian analytics as well as visualizing and exporting occupancy estimation results. We present the PDT project, situate the work within the larger community, and report on the progress of this multi-year project.

  4. Company Company Code Fiscal Year Submission Date

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

    NAME: TITLE: SIGNATURE: DATE: Mail to: U.S. Department of Energy Financial Reporting System, EI-24 Attention: Robert Schmitt Forrestal Building, Room 2G-089 1000 Independence Ave., ...

  5. Categorical Exclusion (CX) Determinations By Date | Department...

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

    Air Conditioners RIN: 1904-AC82 CX(s) Applied: B5.1 EERE- Buildings Technology Program Date: 06172015 Location(s): Nationwide Office(s): Golden Field Office June 16, 2015...

  6. Dates Fact Sheet.cdr

    Energy Savers [EERE]

    DATES is a detection and security information/event management (SIEM) solution enabling asset owners to protect their energy control systems at the network, host, and device level from cyber attacks. DATES complements traditional, signature-based detection with multiple detection algorithms, including model- based and flow anomaly detection and cross-site attack correlation. The DATES detection and SIEM solution gives operators succinct and intuitive attack visualization, with attacks

  7. Commercial Buildings Energy Consumption Survey (CBECS) - Analysis...

    Gasoline and Diesel Fuel Update (EIA)

    Pick a date range: From: To: Go Commercial Buildings Available formats 2012 Commercial Buildings Energy Consumption Survey: Energy Usage Summary Released: March 18, 2016 EIA has ...

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

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

    Evaluation of the Effective Moisture Penetration Depth Model for Estimating Moisture Buffering in Buildings J. Woods, J. Winkler, and D. Christensen National Renewable Energy Laboratory Technical Report NREL/TP-5500-57441 January 2013 NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency & Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. National Renewable Energy Laboratory 15013 Denver West Parkway Golden, Colorado 80401

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

    SciTech Connect (OSTI)

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

    2008-11-10

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

  10. 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.

  11. 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.

  12. 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.

  13. Junior Solar Sprint - An Introduction to Building a Model Solar Car

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

    8 Revised 8/23/01 An Introduction to Building a Model Solar Car Student Guide for the Junior Solar Sprint Competition Produced by: Krisztina Holly and Akhil Madhani 2 Introduction Welcome to Junior Solar Sprint! By competing in Junior Solar Sprint, you will learn how to make your own model solar car that will run entirely from the power of the sun. Design You will experience first-hand the process of design. When you design your car, you will start with some ideas in your head and turn then into

  14. Better Buildings Neighborhood Program

    Broader source: Energy.gov [DOE]

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

  15. DATE: | Department of Energy

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

    DATE: DATE: PDF icon DATE: More Documents & Publications Policy Flash 2013-2 Policy Flash 2013-51 311 Notice Aquisition Letter 2013-05 Financial Assistance Letter 2013-03 ...

  16. 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.

  17. CBECS 2012: Building Stock Results

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

    A Look at the U.S. Commercial Building Stock: Results from EIA's 2012 Commercial Buildings Energy Consumption Survey (CBECS) CBECS 2012 - Release date: March 4, 2015 What is a commercial building? The CBECS includes buildings greater than 1,000 square feet that devote more than half of their floorspace to activity that is not residential, manufacturing, industrial, or agricultural. The 2012 CBECS collected building characteristics data from more than 6,700 U.S. commercial buildings. This report

  18. 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.

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

    Broader source: Energy.gov [DOE]

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

  20. 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.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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 . 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.

  7. Buildings Performance Database Overview

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

    Overview Buildings.energy.gov/BPD BuildingsPerformanceDatabase@ee.doe.gov 2 * The BPD statistically analyzes trends in the energy performance and physical & operational characteristics of real commercial and residential buildings. The Buildings Performance Database 3 Design Principles * The BPD contains actual data on existing buildings - not modeled data or anecdotal evidence. * The BPD enables statistical analysis without revealing information about individual buildings. * The BPD cleanses

  8. 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.

  9. 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.

  10. Big Questions: The Ultimate Building Blocks of Matter

    ScienceCinema (OSTI)

    Lincoln, Don

    2014-08-07

    The Standard Model of particle physics treats quarks and leptons as having no size at all. Quarks are found inside protons and neutrons and the most familiar lepton is the electron. While the best measurements to date support that idea, there is circumstantial evidence that suggests that perhaps the these tiny particles might be composed of even smaller building blocks. This video explains this circumstantial evidence and introduces some very basic ideas of what those building blocks might be.

  11. Better Buildings for a Brighter Future | Department of Energy

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

    program fact sheet provides an overview of the Better Buildings Neighborhood Program,and the program's accomplishmentsprogress to date. Better Buildings for a Brighter Future More...

  12. Buildings | Buildings | NREL

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

    Energy Index for Commercial Buildings Welcome to the Energy Index for Commercial Buildings. Data for this tool comes from the Energy Information Administration's (EIA) 2003 Commercial Buildings Energy Consumption Survey (CBECS). Select categories from the CBECS micro data allow users to search on common building characteristics that impact energy use. Users may select multiple criteria, however if the resulting sample size is too small, the data will be unreliable. If nothing is selected results

  13. Better Buildings for a Brighter Future | Department of Energy

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

    Buildings for a Brighter Future Better Buildings for a Brighter Future This program fact sheet provides an overview of the Better Buildings Neighborhood Program,and the program's accomplishments/progress to date. PDF icon Better Buildings for a Brighter Future More Documents & Publications The BetterBuildings View BetterBuildings for Michigan: Residential Program The Better Buildings Neighborhood View - September 2012

  14. Study of Multifamily Energy Retrofit Using Flexible Multizone Building Simulation Model

    Broader source: Energy.gov [DOE]

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

  15. DATE: TO: FROM:

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

    POLICY FLASH 2015-30 DATE: TO: FROM: June 18, 2015 Procurement DirectorsContracting Officers -- Chief Contract and Financial Assistance Policy Division Office of Policy Office ...

  16. Nuclear Speed-Dating

    Broader source: Energy.gov [DOE]

    The future of nuclear energy needs smart, creative thinkers. That's why more than 120 experts met up last week to "speed-date" each other's ideas.

  17. 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.

  18. 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.

  19. Building Awards | NREL

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

    Building Awards NREL's high-performance buildings are sustainability models for the use of energy efficiency and renewable energy technologies. Each building on NREL's South Table Mountain campus is designed to meet the Gold or Platinum standards of the U.S. Green Building Council's Leadership in Energy and Environmental Design (LEED®) program. Find information about awards for NREL's exceptional buildings below. Energy Systems Integration Facility Energy Systems Integration Facility 2014

  20. Calculating impacts of energy standards on energy demand in U.S. buildings with uncertainty in an integrated assessment model

    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

    2015-10-01

    In this paper, an integrated assessment model (IAM) uses a newly-developed Monte Carlo analysis capability 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 paper finds that aggressive building-energy codes and equipment standards are an effective, cost-saving way to reduce energy consumption in buildings and greenhouse gas emissions in U.S. states. This conclusion is robust to significant uncertainties in population, economic activity, climate, carbon prices, and technology performance and costs.

  1. SPECIAL DATE AND TIME

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

    SPECIAL DATE AND TIME Evolving views of the outer solar system: new insights from NASA's New Horizons mission's historic first Pluto fly-by Dr. Kimberly Ennico Smith NASA Ames ...

  2. Dating the Vinland Map

    ScienceCinema (OSTI)

    None

    2013-07-17

    Scientists from Brookhaven National Laboratory, the University of Arizona, and the Smithsonian Institution used carbon-dating technology to determine the age of a controversial parchment that might be the first-ever map of North America.

  3. DATE SUBMITTED: GRADE LEVEL:

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

    two total hours per visit. For more students than that, please plan a visit on another date. To make a request, please complete the form below and submit it to...

  4. Commercial Buildings Energy Consumption Survey (CBECS) - How...

    Annual Energy Outlook [U.S. Energy Information Administration (EIA)]

    Energy Usage Information Collected in the 2012 CBECS? CBECS 2012 - Release date: March 18, 2016 The Commercial Buildings Energy Consumption Survey (CBECS) project cycle spans at ...

  5. Posting Date: 5/3/16 Posting Close Date: 5/10/2016

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

    5/3/16 Posting Close Date: 5/10/2016 North American Industry Classification System (NAICS) code for the request: 236220 Estimated Subcontract/PO Value: TBD Estimated Period of Performance 8-10 Months Estimated RFP/RFQ Release Date: 5/16/2016 Estimated Award Date: 7/8/2016 Competition Type: Not Set-Aside Buyer Contact Email: Amyp@lanl.gov Title: Multi-purpose Conference, Tele-conference Building Description of Product or Service Required The objective of the construction contract is to create

  6. 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.

  7. MEMORANDUM TO: FILE DATE

    Office of Legacy Management (LM)

    LANDS u cl BUILDINGS 0 EQUIPMENT ORE OR RAW MATL 0 : : cl Cl FINAL PRODUCT 3 WASTE & RESIDUE q "E ontrol a Health Physics Protection 0 AECMED managed operations n Little or None ...

  8. 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)

  9. 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)

  10. Industrial Buildings

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

    Industrial Industrial Manufacturing Buildings Industrialmanufacturing buildings are not considered commercial, but are covered by the Manufacturing Energy Consumption Survey...

  11. History of Radiocarbon Dating

    DOE R&D Accomplishments [OSTI]

    Libby, W. F.

    1967-08-15

    The development is traced of radiocarbon dating from its birth in curiosity regarding the effects of cosmic radiation on Earth. Discussed in historical perspective are: the significance of the initial measurements in determining the course of developments; the advent of the low-level counting technique; attempts to avoid low-level counting by the use of isotopic enrichment; the gradual appearance of the environmental effect due to the combustion of fossil fuel (Suess effect); recognition of the atmosphere ocean barrier for carbon dioxide exchange; detailed understanding of the mixing mechanism from the study of fallout radiocarbon; determination of the new half-life; indexing and the assimilation problem for the massive accumulation of dates; and the proliferation of measurement techniques and the impact of archaeological insight on the validity of radiocarbon dates. (author)

  12. Transaction-based building controls framework, Volume 2: Platform descriptive model and requirements

    SciTech Connect (OSTI)

    Akyol, Bora A.; Haack, Jereme N.; Carpenter, Brandon J.; Katipamula, Srinivas; Lutes, Robert G.; Hernandez, George

    2015-07-31

    Transaction-based Building Controls (TBC) offer a control systems platform that provides an agent execution environment that meets the growing requirements for security, resource utilization, and reliability. This report outlines the requirements for a platform to meet these needs and describes an illustrative/exemplary implementation.

  13. Categorical Exclusion (CX) Determinations By Date | Department of Energy

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

    Date Categorical Exclusion (CX) Determinations By Date May 10, 2016 CX-100608 Categorical Exclusion Determination Supplemental Notice of Proposed Rulemaking (SNOPR) for Energy Conservation Standards for Residential Conventional Cooking Products RIN 1904-AD15 CX(s) Applied: B5.1 EERE-Buildings Technology Program Date: 05/10/2016 Location(s): Nationwide Office(s): Golden Field Office May 9, 2016 CX-100607 Categorical Exclusion Determination Notice of Proposed Rulemaking for New Energy Conservation

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

    SciTech Connect (OSTI)

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

    2014-01-01

    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.

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

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

    important. * If we model a whole country, no need for detailed response, but need to know dynamic response. Sophisticated models are not required. * Models should be optimized for...

  16. COST BREAKDOWN AWARD NO: START DATE: EXPIRATION DATE: FISCAL...

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

    COST BREAKDOWN AWARD NO: START DATE: EXPIRATION DATE: FISCAL YEAR BREAKDOWN OF FUNDS ELEMENTS FY FY FY FY FY TOTAL Direct Labor Overhead Materials Supplies Travel Other Direct...

  17. MEMORANDUfl J: FILE DATE

    Office of Legacy Management (LM)

    J: FILE DATE r so ---w------m FROM: 9. 34oyc -w---v----- SUBJECT: D3 Bo;s CL&;C J mL-;+J; - Rcc cap 049 'A :j: &336;s L-.fh w-f L-1 ALE"nirTE ---...

  18. Building Technologies Program: Tax Deduction Qualified Software- VisualDOE version 4.1 build 0002

    Broader source: Energy.gov [DOE]

    Provides required documentation that VisualDOE version 4.1 build 0002 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  19. Building Technologies Program: Tax Deduction Qualified Software- Green Building Studio Web Service version 3.0

    Broader source: Energy.gov [DOE]

    Provides required documentation that Green Building Studio Web Service version 3.0 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  20. 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...

  1. Greensburg, Kansas: Building a Model Green Community, How Would You Rebuild a Town- Green? April 2009 (Brochure)

    Broader source: Energy.gov [DOE]

    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.

  2. DATE: TO: FROM:

    Office of Environmental Management (EM)

    8,, United ,tates Government Department of Energ memorandum DATE: October 3, 2003 Audit Report Number: OAS-L-04-01 REPLY TO ATTN OF: IG-35 (A03DC010) SUBJECT: Audit of "Audit of Resolution of Safety Deficiencies" TO: Assistant Secretary for Environmental Management Assistant Secretary for Environment, Safety and Health Director, Policy and Internal Controls Management Director, Office of Nuclear Energy, Science and Technology Director, Office of Science INTRODUCTION AND OBJECTIVE The

  3. Development and Application of a Statistical Methodology to Evaluate the Predictive Accuracy of Building Energy Baseline Models

    SciTech Connect (OSTI)

    Granderson, Jessica; Price, Phillip N

    2014-02-21

    This  paper  documents  the  development  and  application  of  a  general  statistical  methodology to assess the accuracy of baseline energy models, focusing on its application  to  Measurement  and  Verification  (M&V)  of  whole-­building  energy  savings.  The methodology complements the principles addressed in resources such as ASHRAE Guideline  14  and  the  International  Performance  Measurement  and  Verification  Protocol. It requires fitting a baseline model to data from a ``training period’’ and using the  model  to  predict  total  electricity  consumption  during  a  subsequent  ``prediction  period.’’ We  illustrate  the  methodology  by  evaluating  five  baseline  models  using  data  from  29  buildings. The training period and prediction period were varied, and model predictions of  daily,  weekly,  and  monthly  energy  consumption  were  compared  to  meter  data  to  determine model accuracy. Several metrics were used to characterize the accuracy of the predictions, and in some cases the best-­performing model as judged by one metric was not the best performer when judged by another metric.

  4. A solar thermal cooling and heating system for a building: Experimental and model based performance analysis and design

    SciTech Connect (OSTI)

    Qu, Ming; Yin, Hongxi; Archer, David H.

    2010-02-15

    A solar thermal cooling and heating system at Carnegie Mellon University was studied through its design, installation, modeling, and evaluation to deal with the question of how solar energy might most effectively be used in supplying energy for the operation of a building. This solar cooling and heating system incorporates 52 m{sup 2} of linear parabolic trough solar collectors; a 16 kW double effect, water-lithium bromide (LiBr) absorption chiller, and a heat recovery heat exchanger with their circulation pumps and control valves. It generates chilled and heated water, dependent on the season, for space cooling and heating. This system is the smallest high temperature solar cooling system in the world. Till now, only this system of the kind has been successfully operated for more than one year. Performance of the system has been tested and the measured data were used to verify system performance models developed in the TRaNsient SYstem Simulation program (TRNSYS). On the basis of the installed solar system, base case performance models were programmed; and then they were modified and extended to investigate measures for improving system performance. The measures included changes in the area and orientation of the solar collectors, the inclusion of thermal storage in the system, changes in the pipe diameter and length, and various system operational control strategies. It was found that this solar thermal system could potentially supply 39% of cooling and 20% of heating energy for this building space in Pittsburgh, PA, if it included a properly sized storage tank and short, low diameter connecting pipes. Guidelines for the design and operation of an efficient and effective solar cooling and heating system for a given building space have been provided. (author)

  5. Integrated Modeling of Building Energy Requirements IncorporatingSolar Assisted Cooling

    SciTech Connect (OSTI)

    Firestone, Ryan; Marnay, Chris; Wang, Juan

    2005-08-10

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

  6. Media contact: Release date

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

    4, 2010 media@wch-rcc.com Local veteran-owned small business gets ARRA funds to upgrade ERDF RICHLAND, Wash.-Washington Closure Hanford has awarded a subcontract worth nearly $7 million to ERLFowler, a local small business, to design and build an operations center and three maintenance facilities at Hanford's Environmental Restoration Disposal Facility. The new facilities are part of a $100 million expansion and upgrade of ERDF funded by the American Recovery and Reinvestment Act. The expansion

  7. Better Buildings

    Broader source: Energy.gov [DOE]

    The Better Buildings Initiative aims to make commercial and industrial buildings 20% more energy efficient by 2020 and accelerate private sector investment in energy efficiency.

  8. Mercantile Buildings

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

    Mercantile Characteristics by Activity... Mercantile Mercantile buildings are those used for the sale and display of goods other than food (buildings used for the sales of food are...

  9. Education Buildings

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

    Education Characteristics by Activity... Education Education buildings are buildings used for academic or technical classroom instruction, such as elementary, middle, or high...

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

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

    Consumption Survey (CBECS) Data 2012 CBECS Survey Data 2012 | 2003 | 1999 | 1995 | 1992 | Previous Building Characteristics Consumption & Expenditures Microdata Methodology Building Characteristics A table of Relative Standard Errors (RSEs) is included as a worksheet tab in the Excel version of all building characteristics tables. See the Guide to the 2012 CBECS Detailed Tables for more information. + EXPAND ALL Summary tables Preliminary release date: March 4, 2015 Release date: May 24,

  11. DATE: REPLY TO

    Office of Legacy Management (LM)

    DOE F 1325.8 (NW ed States Governhent ilmemorandum DATE: REPLY TO ' bPfl29 1993 Al-fN OF: EM-421 (W. W illiams, 903-8149) SUBJECT: Authorization for Remedial Action at the Former Associate Aircraft Site, Fairfield, Ohio TO: Manager, DOE Oak Ridge Field Office This is to notify you that the Former Associated Aircraft Site in Fairfield, Ohio, is designated,for remedial action under the Formerly Utilized Sites Remedial Action Program (FUSRAP). This notification does not constitute a FUSRAP baseline

  12. Issuance Date:: February

    Office of Legacy Management (LM)

    Issuance Date:: February 11, 1966 POST-SHOT HYDROLOGI C SAFETY 68296 VUF-1014 FINAL REPORT FALLON, NEVADA OCTOBER 26, 1963 Hazleton-Nuclear Science Corporation October 30, 1965 SPONSORED BY THE ADVANCED RESEARCH PROJECTS AGENCY OF THE DEPARTMENT OF DEFENSE AND THE U. S.ATOMIC ENERGY COMMISSION VELA UNIFORM PROJECT LEG A L NOTICE This report was prepared as an account of Government sponsored work. Neither the United States, nor the Commission, nor any person acting on behalf of the Commission: A.

  13. 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.

  14. Archived Reference Building Type: Hospital

    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.

  15. 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."

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

    SciTech Connect (OSTI)

    Ivanov, E. A.

    2013-08-15

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

  17. Buildings*","Buildings

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

    8. Primary Space-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Space Heating","Primary Space-Heating Energy Source Used a" ,,,"Electricity","Natural Gas","Fuel Oil","District Heat" "All Buildings* ...............",4645,3982,1258,1999,282,63 "Building Floorspace" "(Square Feet)"

  18. Buildings*","Buildings

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

    1. Water-Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Water Heating","Water-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane" "All Buildings* ...............",4645,3472,1910,1445,94,27,128 "Building Floorspace"

  19. ORNL Researchers Develop ‘Autotune’ Software to Make it Quicker, Easier, and Cheaper to Model Energy Use of Buildings

    Broader source: Energy.gov [DOE]

    ORNL buildings researchers have developed automated, or “Autotune,” calibration software, which reduces the amount of time and expertise needed to optimize building parameters for cost and energy savings.

  20. Connected Buildings Interoperability Vision Webinar

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

    ... model GWAC interoperability context-setting framework EU-SGAM (smart grid architecture model) combines 3 previous ... system, Send grid- aware signals to building Monitor ...

  1. AGU Chapman Conference Hydrogeologic Processes: Building and Testing Atomistic- to Basin-Scale Models

    SciTech Connect (OSTI)

    Weaver, B.

    1994-12-31

    This report presents details of the Chapman Conference given on June 6--9, 1994 in Lincoln, New Hampshire. This conference covered the scale of processes involved in coupled hydrogeologic mass transport and a concept of modeling and testing from the atomistic- to the basin- scale. Other topics include; the testing of fundamental atomic level parameterizations in the laboratory and field studies of fluid flow and mass transport and the next generation of hydrogeologic models. Individual papers from this conference are processed separately for the database.

  2. 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.

  3. 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.

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

    Reports and Publications (EIA)

    2003-01-01

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  5. Better Buildings Neighborhood Program Business Models Guide: Home Performance Contractor Introduction

    Broader source: Energy.gov [DOE]

    The home performance contractor is a firm whose business is to deliver customized and complete home energy upgrade solutions directly to consumers. This is a relatively new contractor model; it addresses companies that provide services from the energy assessment stage of the home energy upgrade process through the installation and quality assurance stages.

  6. 2007 CBECS Large Hospital Building FAQs

    Gasoline and Diesel Fuel Update (EIA)

    FAQs Main Report | Methodology | FAQ | List of Tables CBECS 2007 - Release date: August 17, 2012 How were the data collected for this study? These data were collected with the 2007 Commercial Building Energy Consumption Survey (CBECS). See the 2007 CBECS Large Hospital Building Methodology Report for details. Why are you publishing estimates only for large hospitals and not the rest of the commercial building population? A majority of the 2007 CBECS buildings were sampled from a frame that used

  7. Building technologies

    SciTech Connect (OSTI)

    Jackson, Roderick

    2014-07-14

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

  8. Building technologies

    ScienceCinema (OSTI)

    Jackson, Roderick

    2014-07-15

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

  9. Buildings*","Buildings

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

    6. Space Heating Energy Sources, Number of Buildings for Non-Mall Buildings, 2003" ,"Number of Buildings (thousand)" ,"All Buildings*","Buildings with Space Heating","Space-Heating Energy Sources Used (more than one may apply)" ,,,"Elec- tricity","Natural Gas","Fuel Oil","District Heat","Propane","Other a" "All Buildings* ...............",4645,3982,1766,2165,360,65,372,113

  10. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-03-02

    DOE2.1E-121SUNOS is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS).« less

  11. Beardmore Building

    High Performance Buildings Database

    Priest River, ID Originally built in 1922 by Charles Beardmore, the building housed offices, mercantile shops, a ballroom and a theater. After decades of neglect under outside ownership, Brian Runberg, an architect and great-grandson of Charles Beardmore, purchased the building in 2006 and began an extensive whole building historic restoration.

  12. Posting Date: 3/15/2016 Posting Close Date: 4

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

    3/15/2016 Posting Close Date: 4 th QTR 2016 North American Industry Classification System (NAICS) code for the request: 236210 Estimated Subcontract/PO Value: TBD Estimated Period of Performance: TBD Estimated RFP/RFQ Release Date: 4 th QTR 2016 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: shanej@lanl.gov Title: Transuranic (TRU) Liquid Waste (TLW) Project Description of Product or Service Required The Transuranic (TRU) Liquid Waste (TLW) Project is a congressionally

  13. Posting Date: July 16, 2015 Posting Close Date: TBD

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

    July 16, 2015 Posting Close Date: TBD North American Industry Classification System (NAICS) code for the request: 812332 Estimated Subcontract/PO Value TBD Estimated Period of Performance 8-03-15 Estimated RFP/RFQ Release Date: TBD Estimated Award Date: FY 2018 Competition Type: Open Buyer Contact Email: pbeauparlant@lanl.gov Title: Radioactive Laundry and Respirator Services Description of Product or Service Required Radioactive Laundry and Respirator Services * Current forecasted bid

  14. Posting Date: July 16, 2015 Posting Close Date: TBD

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

    July 16, 2015 Posting Close Date: TBD North American Industry Classification System (NAICS) code for the request: 812332 Estimated SubcontractPO Value TBD Estimated Period of...

  15. Building and Calibration of a FAST Model of the SWAY Prototype Floating Wind Turbine: Preprint

    SciTech Connect (OSTI)

    Koh, J. H.; Robertson, A.; Jonkman, J.; Driscoll, F.; Ng, E. Y. K.

    2013-09-01

    Present efforts to verify and validate aero-hydro-servo-elastic numerical simulation tools that predict the dynamic response of a floating offshore wind turbine are primarily limited to code-to-code comparisons or code-to-data comparisons using data from wind-wave basin tests. In partnership with SWAY AS, the National Renewable Energy Laboratory (NREL) installed scientific wind, wave, and motion measurement equipment on the 1/6.5th-scale prototype SWAY floating wind system to collect data to validate a FAST model of the SWAY design in an open-water condition. Nanyang Technological University (NTU), through a collaboration with NREL, assisted in this validation.

  16. 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.

  17. Building Technologies Program: Tax Deduction Qualified Software-EnergyGauge Summit version 3.1 build 2

    Broader source: Energy.gov [DOE]

    Provides required documentation that EnergyGauge Summit version 3.1 build 2 meets Internal Revenue Code §179D, Notice 2006-52, dated January 31, 2007, for calculating commercial building energy and power cost savings.

  18. Building Technologies Program: Tax Deduction Qualified Software … Green Building Studio Web Service version 3.1

    Broader source: Energy.gov [DOE]

    Provides required documentation that Green Building Studio Web Service version 3.1 meets Internal Revenue Code §179D, Notice 2006-52, dated June 2, 2006, for calculating commercial building energy and power cost savings.

  19. 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.

  20. MetNet: Software to Build and Model the Biogenetic Lattice of Arabidopsis

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wurtele, Eve Syrkin; Li, Jie; Diao, Lixia; Zhang, Hailong; Foster, Carol M.; Fatland, Beth; Dickerson, Julie; Brown, Andrew; Cox, Zach; Cook, Dianne; et al

    2003-01-01

    MetNet (http://www.botany.iastate.edu/∼mash/metnetex/metabolicnetex.html) is publicly available software in development for analysis of genome-wide RNA, protein and metabolite profiling data. The software is designed to enable the biologist to visualize, statistically analyse and model a metabolic and regulatory network map of Arabidopsis , combined with gene expression profiling data. It contains a JAVA interface to an interactions database (MetNetDB) containing information on regulatory and metabolic interactions derived from a combination of web databases (TAIR, KEGG, BRENDA) and input from biologists in their area of expertise. FCModeler captures input from MetNetDB in a graphical form. Sub-networks can be identified and interpreted usingmore » simple fuzzy cognitive maps. FCModeler is intended to develop and evaluate hypotheses, and provide a modelling framework for assessing the large amounts of data captured by high-throughput gene expression experiments. FCModeler and MetNetDB are currently being extended to three-dimensional virtual reality display. The MetNet map, together with gene expression data, can be viewed using multivariate graphics tools in GGobi linked with the data analytic tools in R. Users can highlight different parts of the metabolic network and see the relevant expression data highlighted in other data plots. Multi-dimensional expression data can be rotated through different dimensions. Statistical analysis can be computed alongside the visual. MetNet is designed to provide a framework for the formulation of testable hypotheses regarding the function of specific genes, and in the long term provide the basis for identification of metabolic and regulatory networks that control plant composition and development.« less

  1. Building Conceptual Models of Field-Scale Uranium Reactive Transport in a Dynamic Vadose Zone-Aquifer-River System

    SciTech Connect (OSTI)

    Yabusaki, Steven B.; Fang, Yilin; Waichler, Scott R.

    2008-12-04

    Subsurface simulation is being used to build, test, and couple conceptual process models to better understand controls on a 0.4 km by 1.0 km uranium plume that has persisted above the drinking water standard in the groundwater of the Hanford 300 Area over the last 15 years. At this site, uranium-contaminated sediments in the vadose zone and aquifer are subject to significant variations in water levels and velocities driven by the diurnal, weekly, seasonal, and episodic Columbia River stage dynamics. Groundwater flow reversals typically occur twice a day with significant exchange of river water and groundwater in the near-river aquifer. Mixing of the dilute solution chemistry of the river with the groundwater complicates the uranium sorption behavior as the mobility of U(VI) has been shown experimentally to be a function of pH, carbonate, calcium, and uranium. Furthermore, uranium mass transfer between solid and aqueous phases has been observed to be rate-limited in the context of the high groundwater velocities resulting from the river stage fluctuations and the highly transmissive sediments (hydraulic conductivities ~1500 m/d). One- and two-dimensional vertical cross-sectional simulations of variably-saturated flow and reactive transport, based on laboratory-derived models of distributed rate mass transfer and equilibrium multicomponent surface complexation, are used to assess uranium transport at the dynamic vadose zone aquifer interface as well as changes to uranium mobility due to incursions of river water into the aquifer.

  2. Final Report - Enhanced LAW Glass Property - Composition Models - Phase 1 VSL-13R2940-1, Rev. 0, dated 9/27/2013

    SciTech Connect (OSTI)

    Kruger, Albert A.; Muller, I.; Gilbo, K.; Joseph, I.; Pegg, I. L.

    2013-11-13

    The objectives of this work are aimed at the development of enhanced LAW propertycomposition models that expand the composition region covered by the models. The models of interest include PCT, VHT, viscosity and electrical conductivity. This is planned as a multi-year effort that will be performed in phases with the objectives listed below for the current phase.  Incorporate property- composition data from the new glasses into the database.  Assess the database and identify composition spaces in the database that need augmentation.  Develop statistically-designed composition matrices to cover the composition regions identified in the above analysis.  Prepare crucible melts of glass compositions from the statistically-designed composition matrix and measure the properties of interest.  Incorporate the above property-composition data into the database.  Assess existing models against the complete dataset and, as necessary, start development of new models.

  3. Dates Fact Sheet.cdr

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

    DATES complements traditional, signature-based detection ... the unique traffic characteristics of energy control ... zones, and alert incident class, enabling correlation and ...

  4. Building America Update - July 9, 2013

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

    The EEBA conference offers educational seminars, expert presenters, and hands-on demonstrations to help builders tap into the most up-to-date building science and home performance ...

  5. Nonhydrostatic Ocean Modeling | Argonne Leadership Computing Facility

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

    Nonhydrostatic Ocean Modeling Start Date: May 11 2016 - 10:00am to 11:00am Building/Room: Building 240/Room 1404 Location: Argonne National Laboratory Speaker(s): Sean Vitousek Speaker(s) Title: Research Assistant Professor, University of Illinois at Chicago Host: Robert Jacob Processes in the ocean span a range of spatiotemporal scales. However, most numerical models are designed to simulate specific coastal processes or specific spatiotemporal scales. Furthermore, numerical models are subject

  6. Laboratory Building.

    SciTech Connect (OSTI)

    Herrera, Joshua M.

    2015-03-01

    This report is an analysis of the means of egress and life safety requirements for the laboratory building. The building is located at Sandia National Laboratories (SNL) in Albuquerque, NM. The report includes a prescriptive-based analysis as well as a performance-based analysis. Following the analysis are appendices which contain maps of the laboratory building used throughout the analysis. The top of all the maps is assumed to be north.

  7. 300 Area Building Retention Evaluation Mitigation Plan

    SciTech Connect (OSTI)

    D. J. McBride

    2007-07-03

    Evaluate the long-term retention of several facilities associated with the PNNL Capability Replacement Laboratory and other Hanfor mission needs. WCH prepared a mitigation plan for three scenarios with different release dates for specific buildings. The evaluations present a proposed plan for providing utility services to retained facilities in support of a long-term (+20 year) lifespan in addition to temporary services to buildings with specified delayed release dates.

  8. Buildings Database

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

    Energy Efficiency & Renewable Energy EERE Home | Programs & Offices | Consumer Information Buildings Database Welcome Guest Log In | Register | Contact Us Home About All Projects...

  9. Vacant Buildings

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

    Vacant Characteristics by Activity... Vacant Vacant buildings are those in which more floorspace was vacant than was used for any single commercial activity at the time of the...

  10. Service Buildings

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

    Service Characteristics by Activity... Service Service buildings are those in which some type of service is provided, other than food service or retail sales of goods. Basic...

  11. Other Buildings

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

    Other Characteristics by Activity... Other Other buildings are those that do not fit into any of the specifically named categories. Basic Characteristics See also: Equipment |...

  12. 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.

  13. Archived Reference Building Type: Hospital

    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.

  14. Property:Deployment Date | Open Energy Information

    Open Energy Info (EERE)

    Deployment Date Jump to: navigation, search Property Name Deployment Date Property Type String Retrieved from "http:en.openei.orgwindex.php?titleProperty:DeploymentDate&oldid...

  15. Property:Achievement Date | Open Energy Information

    Open Energy Info (EERE)

    Achievement Date Jump to: navigation, search Property Name Achievement Date Property Type String Retrieved from "http:en.openei.orgwindex.php?titleProperty:AchievementDate&ol...

  16. 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...

  17. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    300M Estimated Period of Performance: 5 Years Estimated RFP/RFQ Release Date: 2 nd QTR 2018 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: pia@lanl.gov Title: Staff Augmentation Services Description of Product or Service Required Staff Augmentation Services (Current subcontract expires 2019) * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note

  18. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    700K Estimated Period of Performance: TBD Estimated RFP/RFQ Release Date: FY 2018 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: m_armijo@lanl.gov Title: Poly Com Phones Description of Product or Service Required Poly Com Phones (Current subcontracts expires 2019) * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note the competition type on the

  19. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    238210 Estimated Subcontract/PO Value: TBD Estimated Period of Performance: TBD Estimated RFP/RFQ Release Date: FY 2016 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: brianhornung@lanl.gov Title: Fire Alarm Project Support Description of Product or Service Required Fire Alarm Project Support * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note

  20. Appliance Standards and Building Codes

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

    Adoption: * Support state adoption of ARRA target codes, updated model codes (IECC and Standard 90.1), and stretch codes. Compliance: * Prioritizing compliance with building energy ...

  1. Building Informatics Environment

    Energy Science and Technology Software Center (OSTI)

    2008-06-02

    The Building Informatics Environment is a modeling environment based on the Modelica language. The environment allows users to create a computer model of a building and its energy systems with various time scales and physical resolutions. The environment can be used for rapid development of, e.g., demand controls algorithms, new HVAC system solutions and new operational strategies (controls, fault detection and diagnostics). Models for building energy and control systems are made available in the environment.more » The models can be used as provided, or they can be changed and/or linked with each other in order to model the effects that a particular user is interested in.« less

  2. Hazard Communication Training - Upcoming Implementation Date...

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

    Hazard Communication Training - Upcoming Implementation Date for New Hazard Communication Standard Hazard Communication Training - Upcoming Implementation Date for New Hazard ...

  3. Passive solar buildings research

    SciTech Connect (OSTI)

    Balcomb, J.D.

    1992-12-31

    This chapter covers research advances in passive solar buildings research during the time span from 1982 through 1991. These advances fall within the following categories: (1) short-term energy monitoring, (2) heat transport by natural convection within buildings, and (3) design guidelines and design tools. In short-term energy monitoring, a simulation model of the building is calibrated, based on data taken in a 3-day test. The method accurately predicts performance over an extended period. Heat transport through doorways is characterized for complex situations that arise in passive solar buildings. Simple concepts and models adequately describe the energy transport in many situations of interest. In a new approach, design guidelines are automatically generated for any specific locality. Worksheets or an accompanying computer program allow the designer to quickly and accurately evaluate performance and investigate design alternatives. 29 refs., 19 figs., 2 tabs.

  4. Building Energy Consumption Analysis

    Energy Science and Technology Software Center (OSTI)

    2005-01-24

    DOE2.1E-121 is a set of modules for energy analysis in buildings. Modules are included to calculate the heating and cooling loads for each space in a building for each hour of a year (LOADS), to simulate the operation and response of the equipment and systems that control temperature and humidity and distribute heating, cooling and ventilation to the building (SYSTEMS), to model energy conversion equipment that uses fuel or electricity to provide the required heating,more » cooling and electricity (PLANT), and to compute the cost of energy and building operation based on utility rate schedule and economic parameters (ECONOMICS). DOE2.1E-121 contains modifications to DOE2.1E which allows 1000 zones to be modeled.« less

  5. Intelligent Buildings

    SciTech Connect (OSTI)

    Brambley, Michael R.; Armstrong, Peter R.; Kintner-Meyer, Michael CW; Pratt, Robert G.; Katipamula, Srinivas

    2001-01-01

    The topic of "intelligent buildings" (IBs) emerged in the early 1980s. Since, the term has been used to represent a variety of related, yet differing topics, each with a slightly different focus and purpose. Wiring and networking-infrastructure companies emphasize the cabling requirements for communication in intelligent buildings and the need to accommodate future needs for higher-speed broadband. Lucent (Lucent 2000) for example, defines an IB as "...one with a completely integrated wiring architecture. A single cabling system that handles all information traffic - voice, data, video, even the big building management systems."

  6. DATE:

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

    and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Implementation of Division F, Title I, Title II, and Title III ...

  7. DATE:

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

    and Financial Assistance Policy Division Office of Policy Office of Acquisition and Project Management SUBJECT: Implementation of Division D, Titles III and V, and Division E, ...

  8. Dated:

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

    CERTIFICATE OF SERVICE I hereby certify that a copy of the STIPULATED JOINT MOTION TO STAY THE SCHEDULING ORDER has been sent electronically to the following on May 12, 2015:...

  9. DATE:

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

    LLC Richland, WA 99352 U.S. Department of Energy Contract DE-AC27-08RV14800 EDTECN: UC: ... The IWFDP is integrated with the Baseline Case operating scenario documented in ORP-11242 ...

  10. DATE:

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

    ... Washington Public Power Supply System) (two wells ... notices, permits, easements, deed notifications, ... Figure C-6. 300 Area NW Fence Line Looking East into Queue. ...

  11. DATE

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

    CAES-061 292012 Rev. 04 CAES Microscopy & Characterization Suite (MaCS) Service Request Form Page 1 of 2 Contact Information: Requestor Name: *Researcher Name: Requestor Email:...

  12. DATE:

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

    ... document management system IHLW immobilized high-level waste ILAW immobilized low-activity waste ... and acceptance criteria IWFD integrated ... acceptance checklist process and is ...

  13. DATE:

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

    has been revised. The subject form has been posted on the DOE Financial Assistance web page on the Recipients Page under the Financial Assistance Forms and Information for...

  14. Date

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

    that Sandia contracts are settled for a reasonable amount and that no instances of fraud related to these contracts is apparent. We will not report on the adequacy of your...

  15. DATE:

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

    For questions concerning this policy flash, contact Kevin M. Smith at (202) 287-1614 or at Kevin.M.Smith@hq.doe.gov. Contracting Officers should contact their field counsel, the ...

  16. DATE:

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

    ... 2-15 2.8.7 Waste Temperature Control ......4-5 4.2.1 Waste Treatment and Immobilization Plant Low-Activity Waste Feed Receipt ...

  17. DATE:

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

    Briefing for Media and Retailers - Lighting eere.energy.gov 1 Consumer Light Bulb Changes: Briefing and Resources for Media and Retailers Briefing for Media and Retailers - Lighting eere.energy.gov 2 * Briefing: - To schedule interviews, please contact DOE Public Affairs at 202-586-4940 * Terms: - Lumens: Commonly a measure of brightness (technically "luminous flux") - CFL: Compact Fluorescent Lamp: The curly fluorescent bulbs - LED: Light Emitting Diode: more recently emerging

  18. DATE

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

    environments. SECTION C. Environmental Aspects Potential Sources of Impact The action consists of purchasing equipment to be used in research and teaching. The action would...

  19. DATE

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

    12 SECTION A. Project Title: Reactor Power Up Rate, Compressor Replacement, Neutron Radiography Restore, Liquid Scintillation Counter - Texas A&M University SECTION B. Project Description Texas A&M will replace an existing 54-year old compressor to improve reliability of the reactor operation and purchase a liquid scintillator counter to give the facility the ability to perform tritium analysis. Additionally, under NRC License R-83, Texas A&M will up rate the reactor power from 1MW

  20. DATE

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

    42 SECTION A. Project Title: Innovative Manufacturing Process for Improving the Erosion/Corrosion Resistance of Power Plant Components via Powder Metallurgy & Hot Isostatic Processing Methods - Electric Power Research Institute SECTION B. Project Description The objective of this project is to conduct the necessary design, processing, manufacturing, and validation studies to assess powder metallurgy/hot isostatic processing (PM/HIP) as a method to produce very large near-net shaped (NNS)

  1. DATE

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

    4-006 SECTION A. Project Title: Design of SC Walls and Slabs for Impulsive Loading - Purdue University SECTION B. Project Description Purdue University proposes to analytically investigation the behavior and strength of modular steel-plate composite (SC) slabs and floor systems, analytically investigate the behavior and performance of SC structures subjected to impulsive loading including blast effects, experimentally verify the findings of analytical investigations, and develop design

  2. DATE

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

    09 SECTION A. Project Title: High Temperature Melt Solution Calorimeter: The Thermodynamic Characterization of Oxides n Nuclear Energy - Clemson University SECTION B. Project Description Clemson University proposes to purchase a High Temperature Melt Calorimeter that will support ongoing work to advance the fundamental understanding of high-temperature ceramic materials used in nuclear energy applications through the use of melt solution calorimetry resulting in uniquely determined experimental

  3. DATE

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

    0 SECTION A. Project Title: Enhance Nuclear Education and Training at Aiken Technical College SECTION B. Project Description Aiken Technical College proposes to purchase and install a flow loop trainer to educate and train students for careers in the nuclear industry. SECTION C. Environmental Aspects / Potential Sources of Impact Chemical Use/Storage / Chemical Waste Disposal - No waste is generated during the manufacturing process, however each machine is equipped with a closed loop system

  4. DATE

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

    1 SECTION A. Project Title: Nuclear Engineering and Science Equipment for Strategic Fuels Analysis Research in the Nuclear and Radiological Engineering Program at the Georgia Institute of Technology SECTION B. Project Description Georgia Tech proposes to purchase and install an imaging system to go with the existing x-ray source in a fully equipped irradiation laboratory, addition of spectroscopic instruments to perform energy resolution measurements in supplement of imaging, and tissue

  5. DATE

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

    2 SECTION A. Project Title: Development of a Research and Education Facility for Evaluation of Environmental Degradation of Advanced Nuclear Materials in Simulated LWR Conditions - University of Idaho SECTION B. Project Description The University of Idaho proposes to a) upgrade the existing static autoclave system in order to simulate the light water reactor conditions without contaminating the high temperature waster with corrosion products; b) install a rotating a cylinder system in the

  6. DATE

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

    3 SECTION A. Project Title: Automated Chromatography System for Purification of New Reagents for An/Ln Extraction and Separation - Washington State University SECTION B. Project Description Washington State University proposes to purchase and install a Teledyne Isco CombiFlash Rf+ Luman with UV-Vis and Evaporative Light Scattering Detector to improve the current purification abilities for newly designed and synthesized organic ligands. SECTION C. Environmental Aspects / Potential Sources of

  7. DATE

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

    4 SECTION A. Project Title: In situ Raman Spectroscopy to Enhance Nuclear Materials Research and Education - University of Nevada Reno SECTION B. Project Description The University of Nevada Reno proposes to purchase and install a Raman Spectrometer on the existing water loop for in situ analysis of materials to be used to characterize the surface chemistry of various alloys, understand the effect of mechanical stress on corrosion behavior of alloys, and improve nuclear education at UNR. SECTION

  8. DATE

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

    5 SECTION A. Project Title: Nuclear Materials Science and Instrumentation Research Infrastructure Upgrade at Pennsylvania State University SECTION B. Project Description Pennsylvania State University proposes to purchase and install an inductively coupled plasma - atomic emission spectrometer (ICP- AES), glass melting furnace and crucible, and data acquisition system for use in research and education. SECTION C. Environmental Aspects / Potential Sources of Impact Chemical Use/Storage / Chemical

  9. DATE

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

    6 SECTION A. Project Title: Equipment for Education, Training, and Research in Advanced Instrumentation for Fluoride Salt Cooled High-Temperature Reactors (FHRs) at The Ohio State University SECTION B. Project Description Ohio State University proposes to purchase and install the equipment necessary to develop and benchmark a non-invasive velocity measurement technique for salt based on short-lived activation products decay, a Fourier Transform Infrared spectrometer to measure the optical

  10. DATE

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

    7 SECTION A. Project Title: Impact Test Machine for Nuclear Containment Research - University of Houston SECTION B. Project Description The University of Houston proposes to upgrade the university's Universal Element Tester with an Impact Test Machine to advance the study on impact and shear behavior of the nuclear containment structure. SECTION C. Environmental Aspects / Potential Sources of Impact The action consists of purchasing equipment to be used in research and teaching. The action would

  11. DATE

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

    8 SECTION A. Project Title: Integrated Approach to Fluoride High Temperature Reactor (FHR) Technology and Licensing Challenges - Georgia Tech SECTION B. Project Description Georgia Tech, in collaboration with Ohio State University, Texas A&M, Texas A&M - Kingsville, Oak Ridge National Laboratory and several industry and international partners, proposes to follow an integrated approach to address several key technology gaps associated with fluoride high temperature reactors, thereby

  12. DATE

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

    3 SECTION A. Project Title: Design/Prototype Fabricate Rail Car for High Rad Mat Transport - Kasgro Rail Corp. SECTION B. Project Description The purpose of this proposal is to obtain a certification from the American Association of Railroads (AAR) on a fully constructed and tested railcar system for transporting spent nuclear fuel (SNF). The transport system will allow transporting SNF by rail to occur at normal rail speeds thus eliminating delays on rail lines and all more rapid transport of

  13. DATE

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

    4 SECTION A. Project Title: Electrically-Assisted Tubing Processes for Enhancing Manufacturability of Oxide Dispersion Strengthened Structural Materials for Nuclear Reactor Applications - Northwestern University SECTION B. Project Description Northwestern University, in collaboration with Los Alamos National Laboratory, proposes to enhance the formability of nanostructured ferritic alloys (NFAs) such that high-strength thin-walled claddings can be successfully and economically manufactured for

  14. DATE

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

    5-085 SECTION A. Project Title: Deep Borehole Field Test (DBFT) Characterization Borehole Drilling and Testing, Pierce County, N.D. - Battelle Memorial Institute SECTION B. Project Description The primary goal of the DBFT program is to drill a 5,000-meter-deep characterization borehole with a 3,000-meter open-hole section across crystalline bedrock, and to conduct scientific testing to characterize the hydrogeologic, geochemical, and geomechanical properties of the near-borehole host rock. The

  15. DATE

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

    1 SECTION A. Project Title: Environmental Surveillance, Education, and Research Program - Wastren Advantage, Inc. SECTION B. Project Description Wastren Advantage, Inc. (WAI) proposes to continue the Environmental Surveillance, Education, and Research (ESER) program. Specific activities to be carried out may include, but are not limited to actions in the nature of sampling, collection, and characterization of air, water, soil, flora and fauna as well as measurement of ambient radiation levels.

  16. DATE

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

    6-002 SECTION A. Project Title: Experimental Verification of Post-Accident iPWR Aerosol Behavior - Electric Power Research Institute, Inc. SECTION B. Project Description EPRI proposes to perform a series of experiments to quantify the most influential decontamination factors and their effect on a class of integrated Pressurized Water Reactor (iPWR) containment designs. The experimental design and method includes development of a thermal hydraulic test loop with an integral reactor and

  17. DATE

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

    4 SECTION A. Project Title: Solving Critical Challenges to Enable the Xe-100 Pebble Bed Advanced Reactor Concept - X Energy, LLC SECTION B. Project Description X Energy, in collaboration with BWXT Nuclear Energy, Inc. (BWXT), Oak Ridge National Laboratory (ORNL), Idaho National Laboratory (INL), and Oregon State University (OSU), proposes to leverage prior and current DOE programs and previous Xe-100 design investments to further key pebble-bed high temperature gas-cooled reactor (HTGR)

  18. DATE

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

    6 SECTION A. Project Title: Integrated Effects Testing & Molten Chloride Fast Reactor Development - Southern Company Services, Inc. SECTION B. Project Description Southern Company Services, in collaboration with TerraPower, LLC and Oak Ridge National Laboratory (ORNL), proposes to advance the technology readiness of the Molten Chloride Fast Reactor (MCFR) technology under development by TerraPower in support of commercial offering by 2035. To support the licensing, detail design, and

  19. DATE

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

    09-001 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis are addressed. All of the

  20. DATE

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

    02 SECTION A. Project Title: INL - Off-Road ATV Use In Support of Engineering Surveys SECTION B. Project Description The proposed action will allow for off-road ATV use near T-24 and T-25 at the Idaho National Laboratory Site. The ATV(s) will be used to survey in support of engineering design for a proposed upgraded haul road within the INL Site. Currently, an Environmental Assessment is being prepared to address upgrading either T-24 or T-25 to establish a site transportation route for the

  1. DATE

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

    3 SECTION A. Project Title: INL - Site Wide Well Abandonment Activities SECTION B. Project Description The proposed action will abandon inactive wells and injection wells at the Idaho National Laboratory (INL) Site. Wells and injection wells will be abandoned as per MCP-1442, MCP-3480 and the Idaho Department of Water Resources (IDWR) requirements, as applicable. The wells to be abandoned are located both within the INL facility boundaries and outside of the INL facility boundaries. The proposed

  2. DATE

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

    5 CX Posting No.: DOE-ID-ICP-12-002 SECTION A. Project Title: ICP Routine Maintenance SECTION B. Project Description The purpose of this document is to address actions that meet the intent of the categorical exclusion (CX) B1.3 as described in 10 CFR 1021, Appendix B to Subpart D. Both typical and non-typical types of actions, such as routine maintenance, minor modifications, and custodial services required to support safe and efficient plant operations even if performed on an infrequent basis

  3. DATE

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

    2-005 SECTION A. Project Title: INTEC - U-233 Waste Stream Disposition SECTION B. Project Description The proposed action will transfer 171 drums of U-233 waste from the Advanced Mixed Waste Treatment Project (AMWTP) to INTEC for verification, treatment, and repackaging for final disposition at the Nevada National Security Site (NNSS). The U233 drums are a portion of waste historically managed as transuranic as part of the 1995 Idaho Settlement Agreement.The waste management actions will be

  4. DATE

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

    4-001 SECTION A. Project Title: INL - Idaho Completion Project Environmental and Regulatory Services Activities SECTION B. Project Description The proposed action addresses the site-wide sampling and monitoring and waste characterization sampling programs that support the Idaho Completion Project (ICP) operations. Actions include:  groundwater monitoring,  day-to-day monitoring activities (i.e., measurement of liquid or gaseous effluents for purposes of characterizing and quantifying

  5. DATE

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

    1 SECTION A. Project Title: Spent Resin Removal and Addition of New Resin to Ion Exchange (IX) Columns Located at CPP- 666 SECTION B. Project Description The proposed action will transfer spent resins from hold tanks located inside CPP-666 to on-site vendor-owned and operated resin dewatering equipment (EnergySolutions), with off-site disposal of the dewatered resins at the Nevada National Security Site. This process is required to maintain water cleanliness and remove radionuclides and

  6. DATE

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

    2 SECTION A. Project Title: Spent Resin Removal and Addition of New Resin to Ion Exchange (IX) Columns Located at CPP- 666 SECTION B. Project Description The proposed action will transfer spent resins from hold tanks located inside CPP-666 to on-site vendor-owned and operated resin dewatering equipment (EnergySolutions), with off-site disposal of the dewatered resins at the Nevada National Security Site. This process is required to maintain water cleanliness and remove radionuclides and

  7. DATE

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

    3 SECTION A. Project Title: TAN - Monitoring Well Drilling Actions SECTION B. Project Description Two new monitoring wells will be drilled in the spring of 2015 within the Test Area North facility. Both wells will be drilled to a total depth of approximately 280 ft. and will be completed with two vapor ports, two pumps, and an inflatable isolation packer. Depending on location, the annular space will be filled with bentonite, silica sand, and bentonite associated with the vapor port filter pack

  8. DATE

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

    4 SECTION A. Project Title: INTEC - CPP-603 Large Cask Adaptability SECTION B. Project Description DOE is responsible for the safe storage of Spent Nuclear Fuel (SNF) in its possession as well as obtaining data to verify the condition of SNF currently being stored in large storage casks at the INL Site. To meet this responsibility, DOE needs to open and examine the low-burnup SNF currently in long-term dry storage to verify the condition of the fuel and look for any degradation. DOE examined

  9. DATE

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

    6-001 SECTION A. Project Title: INTEC - Macroencapsulation/Overpack Operations in CPP-659 and CPP-1617 SECTION B. Project Description The proposed action will treat mixed low-level waste (MLLW) at the Idaho Nuclear Technology and Engineering Center (INTEC). The treatment process, macroencapsulation, will result in the waste stream meeting the treatment standards for debris and radioactive lead solids (RLS) for disposition at the Nevada National Security Site (NNSS). The macroencapsulation

  10. DATE

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

    EC Document No.: DOE-ID-INL-09-002 SECTION A. Project Title: Smoking Shelters SECTION B. Project Description. Install up to three prefabricated outdoor shelters for smokers. Design and install a shelter base so that shelters can be movable. The base shall be designed to prevent shelters from moving or tipping over due to high winds. Specific location for shelters is to be determined, but the shelter bases will be placed atop existing concrete or asphalt such that no subsurface soil disturbance

  11. DATE

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

    09-003 SECTION A. Project Title: Removal of Central Facilities Area (CFA)-661 Interior Walls and Mezzanine. SECTION B. Project Description The initial action to be covered under this Environmental Checklist will be removal of the mezzanines from CFA-661 to provide for material storage and work space for the National and Homeland Security (N&HS) Wireless Test Bed project. More specifically, this involves storage of electronic equipment, antennas and antenna masts, personnel supplies, and a

  12. DATE

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

    2 SECTION A. Project Title: MFC Dial Room Replacement Project SECTION B. Project Description: The proposed project is to construct and operate a new dial room at the Materials and Fuels Complex (MFC) to continue operation of the telecommunications system at the Idaho National Laboratory (INL). As part of the INL Private Branch Exchange (PBX) consolidation effort, the need to replace Central Facilities Area (CFA), Radioactive Waste Management Complex (RWMC), and Power Burst Facility (PBF) PBX

  13. DATE

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

    4 SECTION A. Project Title: Characterization of Fluidized Beds via Pressure Fluctuation Analysis SECTION B. Project Description: The purpose of this work is to conduct research using pressure as a measure of performance for fluidized beds (spouted, bubbling, or slugging) at the Center for Advanced Energy Studies (CAES). The approach to this research activity consists of two main tasks: 1. Sieving the bed media with a motorized sieve shaker - sintered aluminosilicate spheres (used in the

  14. DATE

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

    5 SECTION A. Project Title: Replace 200,000 Gallon Water Storage Tank at MFC SECTION B. Project Description: The project is to replace the current 200,000 gallon potable water tank at the Idaho National Laboratory (INL) Materials and Fuels Complex (MFC) with a new 300,000 gallon water tank. The existing tank and foundation will be removed and the waste materials managed and disposed under the direction of Waste Generator Services (WGS). The installation area for the new tank will be excavated

  15. DATE

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

    6 SECTION A. Project Title: TRA-653 HVAC Modifications SECTION B. Project Description: The proposed project plans to replace the existing blowers, swamp coolers and electric heaters in the Idaho National Laboratory (INL) Test Reactor Area-653 (TRA-653) office area with three roof mounted heating, ventilating and air conditioning (HVAC) units; and install six roof mounted HVAC units at the TRA-653 machine shop area. These modifications are needed to enhance workplace habitability, maintain a more

  16. DATE

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

    7 SECTION A. Project Title: TRA-609 Compressed Air System Drain Line Modification and Valve Replacement SECTION B. Project Description: Due to periods of insufficient water flow to the sewer ponds, the clay liners in the ponds can dry out and crack. This proposed action is to add an additional drain line, which will allow clean well water that has been used to cool compressors to then be drained into the sewer system ponds during low flow periods in order to maintain a higher, more consistent

  17. DATE

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

    CX Posting No.: DOE-ID-INL-10-008 SECTION A. Project Title: Maintenance and Modification of Well TRA-08 SECTION B. Project Description: TRA-08, a groundwater monitoring well located approximately 1.5 miles south of the ATR Complex was drilled and constructed in 1990. The well is currently used as a groundwater monitoring compliance point for the ATR Complex Cold Waste Pond Industrial Wastewater Reuse Permit (IWRP). It is also used for CERCLA groundwater monitoring by CWI. Over the life of the

  18. DATE

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

    10-009 SECTION A. Project Title Idaho Falls (IF)-608 Uninterrupted Power Supply Upgrade Project SECTION B. Project Description: This project increases the Uninterrupted Power Supply (UPS) capacity in the IF-608 Information Operations and Research Center (IORC) by removing two existing UPS systems (50 KVA and 36 KVA) and installing a 225 KVA system. A ~15 ton cooling unit will be installed on the roof for heat removal. Associated work will include additional electrical panel(s) and electrical

  19. DATE

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

    0 SECTION A. Project Title: Test Reactor Cask Implementation. SECTION B. Project Description: This proposed action is a process and facility modification. Background / Purpose & Need The Advanced Test Reactor (ATR) uses the Naval Reactors (NR) Casks to transport test trains between the Naval Reactors Facility (NRF) Expended Core Facility and the ATR. The Naval Reactor (NR) Casks, however, are approaching the end of their design life. In 1997, Bettis initiated a contract for construction of

  20. DATE

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

    EC Document No.: DOE-ID-INL-10-011 DIRECTIONS: Responsible Managers, Project Environmental Lead, and Environmental Support personnel complete this form by following the instructions found at the beginning of each section and submit to Environmental Support & Services (environmental.checklist@inl.gov). SECTION A. Project Title: CFA and ATR-Complex Analytical and R&D Laboratory Operation (Overarching) SECTION B. Project Description: This EC replaces overarching EC INL-05-017 due to changes

  1. DATE

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

    2 __________________________ 1 DOE's strategic plans included the Nuclear Energy Research and Development Roadmap" (2010 Predecisional draft) and reports such as "Facilities for the Future of Nuclear Energy Research: A Twenty-year Outlook". SECTION A. Project Title: Materials and Fuel Complex (MFC) Infrastructure Upgrades: Sewage Lagoons Upgrades SECTION B. Project Description: MFC Infrastructure Upgrades - MFC Sewage Lagoon Upgrades This EC focuses on upgrades to the existing 2.4

  2. DATE

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

    5 SECTION A. Project Title: Materials and Fuel Complex (MFC) Infrastructure Upgrades: Modular Office Units SECTION B. Project Description: MFC Infrastructure Upgrades - General The number of researchers and operators at MFC has significantly increased, and is projected to increase further in the future to support the expanding research activities at the facility. These activities will require Infrastructure upgrades (office space, potable water, wastewater treatment, communications, etc.) to

  3. DATE

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

    1 of 2 CX Posting No.: DOE-ID-INL-14-018 SECTION A. Project Title: Materials and Fuel Complex (MFC)-782 Fire Sprinkler Installation SECTION B. Project Description: MFC-782 (Machine Shop) does not currently have a fire sprinkler system. In order to be in compliance with National Fire Protection Association (NFPA) requirements, an automated sprinkler system needs to be installed. The proposed project would consist of removing existing fire water line, drain line, potable water line, fire alarm

  4. DATE

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

    Idaho National Laboratory Page 1 of 2 CX Posting No.: DOE-ID-INL-14-019 SECTION A. Project Title: Advanced Test Reactor (ATR) Electronic Message Board Installation SECTION B. Project Description: The scope of work for this project involves the installation of a new electronic information sign at the south end of the sidewalk by the guardhouse (Test Reactor Area [TRA]-658). The sign would be mounted on metal posts just south of the first sidewalk light pole. The new sign would be powered from the

  5. DATE

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

    Environmental Checklist Page 1 of 1 CX Posting No.: DOE-ID-INL-14-021 SECTION A. Project Description: Remote Closure Switch for Test Reactor Area (TRA)-786 Output Breaker SECTION B. Project Description: . The TRA-786 diesel generator output breaker has a high arc flash calculation that requires the operator to use heavy, cumbersome personal protective equipment (PPE) when closing the breaker. This breaker is located in the doorway of a trailer that is approximately 5 feet off the ground. There

  6. DATE

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

    DOE-ID-ICP-16-001 R1 SECTION A. Project Title: INTEC - Macroencapsulation/Overpack Operations in CPP-659 and CPP-1617, Rev. 1 SECTION B. Project Description The proposed action will treat mixed low-level waste (MLLW) at the Idaho Nuclear Technology and Engineering Center (INTEC). The treatment process, macroencapsulation, will result in the waste stream meeting the treatment standards for debris and radioactive lead solids (RLS) for disposition at the Nevada National Security Site (NNSS). The

  7. DATE

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

    6/23/2014 Rev. 20 Idaho National Laboratory Environmental Checklist Page 1 of 13 EC Document No.: INL-14-044 R1 DIRECTIONS: Responsible Managers, Principle Investigator/Researcher, Program Environmental Lead (PEL), and Environmental Support personnel complete this form by following the instructions found at the beginning of each section (A-G and the Approval' and Signature' blocks) and submit to Environmental Support & Services (see Environmental Points of Contact, NEPA/Environmental

  8. DATE

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

    at Raft River by the United States Geological Survey (USGS) in non-INL related work ... INL will collect samples of the tracers prior to injection to verify concentration, ...

  9. DATE

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

    also need another wash sink in the East Bay. The current method of connecting to the internet using Local Area Network (LAN) cables is cumbersome and inefficient. There is not...

  10. DATE:

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

    Corporations Section 743 Any Payment for the Election for a Federal Office or to a Political Committee Section 3003 Reporting on Conference Spending 2 The FAL addresses the ...

  11. DATE

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

    Team. The subcontractor will be required to have spill control equipment on site. A propane tank that will be relocated from CFA-666 to CFA-661 will have it's location...

  12. DATE:

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

    ... Area Network at https:twins.labworks.orgtwinsdataFormsAbout.aspx Weast, et al, 1988, CRC Handbook of Chemistry and Physics, 68 th edition, CRC Press, Boca Raton, Florida. ...

  13. Office Buildings

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

    page, please call 202-586-8800. There were enough buildings in the responding sample to report statistics for all of these types except for research and development, which has...

  14. Lodging Buildings

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

    were then asked to place the building into the following more specific categories: a hotel a motel, inn, or resort a retirement home a shelter, orphanage, or children's home a...

  15. Building America Webinar: High Performance Building Enclosures...

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

    High Performance Building Enclosures: Part I, Existing Homes Building America Webinar: High Performance Building Enclosures: Part I, Existing Homes The webinar, presented on May ...

  16. Hanford Site Assessment & Characterization/Verification of Buildings Procedure

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

    2 Revision 2 Hanford Site Assessment & Characterization/Verification of Buildings Procedure Prepared for the U.S. Department of Energy Assistant Secretary for Environmental Management Approved for Public Release; Further Dissemination Unlimited DOE-0342-002, Rev. 2 Hanford Site Wide Assessment and Characterization/Verification of Buildings Procedure Published Date: 09/08/15 Effective Date: 09/25/15 ii CHANGE SUMMARY Rev # Date-Section Changed Change Details 2 10/06/14 - 1.0 Add statement

  17. Low-Cost Gas Heat Pump for Building Space Heating

    Energy Savers [EERE]

    Low-Cost Gas Heat Pump for Building Space Heating 2015 Building Technologies Office Peer Review Michael Garrabrant mgarrabrant@stonemtntechnologies.com Stone Mountain Technologies, Inc. Project Summary Timeline: Start date: March 01, 2013 Planned end date: August 31, 2015 Key Milestones: 1. Cycle & System Design: 12/31/2014 2. Breadboard Test Results: 12/31/2014 3. Packaged Prototype Results: 04/01/2015 Budget: Total DOE $ to date: $629,730 Total future DOE $: $273,140 Target

  18. Low-Cost Gas Heat Pump fro Building Space Heating

    Office of Environmental Management (EM)

    Low-Cost Gas Heat Pump for Building Space Heating 2014 Building Technologies Office Peer Review Michael Garrabrant mgarrabrant@stonemtntechnologies.com Stone Mountain Technologies, Inc. Project Summary Timeline: Start date: March 01, 2013 Planned end date: February 28, 2015 Key Milestones: 1. Cycle & System Design: 12/31/2014 2. Breadboard Test Results: 06/30/2014 3. Packaged Prototype Results: 02/28/2015 Budget: Total DOE $ to date: $305,396 Total future DOE $: $597,474 Target

  19. Buildings Interoperability Landscape

    SciTech Connect (OSTI)

    Hardin, Dave; Stephan, Eric G.; Wang, Weimin; Corbin, Charles D.; Widergren, Steven E.

    2015-12-31

    Through its Building Technologies Office (BTO), the United States Department of Energy’s Office of Energy Efficiency and Renewable Energy (DOE-EERE) is sponsoring an effort to advance interoperability for the integration of intelligent buildings equipment and automation systems, understanding the importance of integration frameworks and product ecosystems to this cause. This is important to BTO’s mission to enhance energy efficiency and save energy for economic and environmental purposes. For connected buildings ecosystems of products and services from various manufacturers to flourish, the ICT aspects of the equipment need to integrate and operate simply and reliably. Within the concepts of interoperability lie the specification, development, and certification of equipment with standards-based interfaces that connect and work. Beyond this, a healthy community of stakeholders that contribute to and use interoperability work products must be developed. On May 1, 2014, the DOE convened a technical meeting to take stock of the current state of interoperability of connected equipment and systems in buildings. Several insights from that meeting helped facilitate a draft description of the landscape of interoperability for connected buildings, which focuses mainly on small and medium commercial buildings. This document revises the February 2015 landscape document to address reviewer comments, incorporate important insights from the Buildings Interoperability Vision technical meeting, and capture thoughts from that meeting about the topics to be addressed in a buildings interoperability vision. In particular, greater attention is paid to the state of information modeling in buildings and the great potential for near-term benefits in this area from progress and community alignment.

  20. Request Log Closedl Date Yes

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

    6 FOIA - Request Log Closedl Date Yes 01 127106 Yes 02/23/06 Yes 04/05/06 Yes 04/03/06 Yes 04/03/06 Yes 05/22/06 Yes 35/30/06 - No. - 00 1 - 002 - 003 - 004 005 006 - 307 - Dated 01 125106 0211 6106 03/29/06 03/31 106 14/03/06 1511 8/06 )5/22/06 Date Rec'd 0 I I2 5/06 02/23/06 03130/06 0313 1 106 04/03/06 05/22/06 05/22/06 HQ or Dir. Direct Transfer from HQ Direct Trans from HQ Direct Direct Transfer 'rom HQ Subject Requesting a list of all your Procurement card holders Requesting copies of any

  1. 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...

  2. Archived Reference Building Type: Outpatient health care

    Broader source: Energy.gov [DOE]

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

  3. Archived Reference Building Type: Quick service restaurant

    Broader source: Energy.gov [DOE]

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

  4. Archived Reference Building Type: Full service restaurant

    Broader source: Energy.gov [DOE]

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

  5. Archived Reference Building Type: 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: 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.

  7. 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.

  8. Archived Reference Building Type: Large Hotel

    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: Small Hotel

    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.

  10. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

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

  11. Archived Reference Building Type: Midrise Apartment

    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.

  12. Next Release Date: August 2013

    Gasoline and Diesel Fuel Update (EIA)

    in Renewable Energy Consumption and Electricity 2010 Release Date: December 11, 2012 Next Release Date: August 2013 Table 10. Renewable electric power sector net generation by energy source and State, 2009 (thousand kilowatthours) Landfill Gas/MSW Biogenic 1 Other Biomass 2 Alabama 12,535,373 - 2,050 245,980 - - - 248,030 12,783,403 Alaska 1,323,744 - - - - - 7,027 7,027 1,330,771 Arizona 6,427,345 18,299 - 136,641 - 14,145 29545 198,630 6,625,975 Arkansas 4,192,706 34,371 17,645 - - - - 52,016

  13. Building America Webinar: National Residential Efficiency Measures Database

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

    Unveiled | Department of Energy National Residential Efficiency Measures Database Unveiled Building America Webinar: National Residential Efficiency Measures Database Unveiled This webinar presented an overview of this database of residential building retrofit measures and associated estimated costs, and progress to date. File webinar_residential_efficiencydb_20110118.wmv More Documents & Publications National Residential Efficiency Measures Database Webinar Slides Building America

  14. Existing Commercial Reference Buildings Constructed In or After 1980 |

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

    Department of Energy In or After 1980 Existing Commercial Reference Buildings Constructed In or After 1980 The files on this page contain commercial reference building models for existing buildings constructed in or after 1980, organized by building type and location. These U.S. Department of Energy (DOE) reference buildings are complete descriptions for whole building energy analysis. You can also return to a summary of building types and climate zones and information about other building

  15. Home Energy Score: Analysis & Improvements to Date

    Energy Savers [EERE]

    Webinar Home Energy Score Webinar File webinar_homeenergyscore_20101117.wmv More Documents & Publications Home Energy Score Launch Commercial Building Energy Asset Score 2013 Pilot Home Energy Score Update Webinar Slides

    Home Energy Score: � Analysis & Improvements to Date � Joan Glickman Senior Advisor/Program Manager U.S. Department of Energy July 24, 2012 1 eere.energy.gov Presentation Overview 1) Background 2) Program Improvements 3) Analysis: Efficacy of Tool & Program -

  16. WEATHERIZATION PROGRAM NOTICE 16-XX EFFECTIVE DATE: SUBJECT: MULTIFAMILY WEATHERIZATION

    Energy Savers [EERE]

    6-XX EFFECTIVE DATE: SUBJECT: MULTIFAMILY WEATHERIZATION PURPOSE: To provide Grantees with consolidated guidance on previously issued Weatherization Program Notices (WPNs) on weatherizing multifamily buildings in the Weatherization Assistance Program (WAP). This supersedes WPN 10-7 and WPN 11-9 SCOPE: The provisions of this guidance apply to Grantees applying for financial assistance under the Department of Energy (DOE) WAP. LEGAL AUTHORITY: Title IV, Energy Conservation and Production Act, as

  17. Residential Buildings Integration Program

    Broader source: Energy.gov [DOE]

    Residential Buildings Integration Program Presentation for the 2013 Building Technologies Office's Program Peer Review

  18. Energy Efficient Buildings Hub

    SciTech Connect (OSTI)

    2013-04-01

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  19. Building America System Research

    SciTech Connect (OSTI)

    2013-04-01

    Residential Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

  20. Energy Efficient Buildings Hub

    Broader source: Energy.gov [DOE]

    Energy Efficient Buildings HUB Lunch Presentation for the 2013 Building Technologies Office's Program Peer Review

  1. Building Technologies Office Overview

    SciTech Connect (OSTI)

    2013-04-01

    Building Technologies Office Overview Presentation for the 2013 Building Technologies Office's Program Peer Review

  2. Commercial Buildings Consortium

    Broader source: Energy.gov [DOE]

    Commercial Buildings Integration Project for the 2013 Building Technologies Office's Program Peer Review

  3. 2005 Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    5 Buildings Energy Data Book Prepared for the Offi ce of Energy Effi ciency and Renewable Energy 2005 Buildings Energy Data Book August 2005 Prepared for the Office of Planning, Budget Formulation and Analysis Energy Efficiency and Renewable Energy U.S. Department of Energy by D&R International, Ltd. under contract to Oak Ridge National Laboratory This version is dated: August 2005 D I S C L A I M E R This document was designed for the internal use of the United States Department of Energy.

  4. Property:StartDate | Open Energy Information

    Open Energy Info (EERE)

    StartDate Jump to: navigation, search This is a property of type Date. Pages using the property "StartDate" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County...

  5. Property:EndDate | Open Energy Information

    Open Energy Info (EERE)

    EndDate Jump to: navigation, search This is a property of type Date. Pages using the property "EndDate" Showing 25 pages using this property. (previous 25) (next 25) 4 4-County...

  6. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    7 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: Itmartinez@lanl.gov Title: QA Support Description of Product or Service Required QA Support (Current subcontracts expires 2018) * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note the competition type on the forecast matrix to determine if a procurement has been set aside or is open to fair and

  7. Posting Date: 28 May, 2015 Posting Close Date: TBD

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

    5 Estimated Award Date: TBD Competition Type: TBD Buyer Contact Email: m_armijo@lanl.gov Title: Crowdsourcing Description of Product or Service Required Crowdsourcing * Current forecasted bid opportunities are subject to change or cancellation due to scope, mission, or funding requirements. * Some procurements are reserved for small businesses. Note the competition type on the forecast matrix to determine if a procurement has been set aside or is open to fair and reasonable competition. * LANL

  8. Energy Simulator Residential Buildings

    Energy Science and Technology Software Center (OSTI)

    1992-02-24

    SERI-RES performs thermal energy analysis of residential or small commercial buildings and has the capability of modeling passive solar equipment such as rock beds, trombe walls, and phase change material. The analysis is accomplished by simulation. A thermal model of the building is created by the user and translated into mathematical form by the program. The mathematical equations are solved repeatedly at time intervals of one hour or less for the period of simulation. Themore » mathematical representation of the building is a thermal network with nonlinear, temperature-dependent controls. A combination of forward finite differences, Jacobian iteration, and constrained optimization techniques is used to obtain a solution. An auxiliary interactive editing program, EDITOR, is included for creating building descriptions. EDITOR checks the validity of the input data and also provides facilities for storing and referencing several types of building description files. Some of the data files used by SERI-RES need to be implemented as direct-access files. Programs are included to convert sequential files to direct-access files and vice versa.« less

  9. Building Energy Use Benchmarking | Department of Energy

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

    Building Energy Use Benchmarking Building Energy Use Benchmarking Benchmarking is the practice of comparing the measured performance of a device, process, facility, or organization to itself, its peers, or established norms, with the goal of informing and motivating performance improvement. When applied to building energy use, benchmarking serves as a mechanism to measure energy performance of a single building over time, relative to other similar buildings, or to modeled simulations of a

  10. Commercial Buildings Partnerships | Department of Energy

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

    Commercial Buildings Partnerships Commercial Buildings Partnerships The Commercial Buildings Integration program engages market leaders to accelerate adoption of energy saving technologies and practices by the commercial buildings market and support development of new, integrated program models for building retrofit. CBI relies on these partners to test and refine resources, conduct real-world demonstrations, and facilitate the deployment of solutions to the market through peer sharing and

  11. 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.

  12. Buildings Sector Working Group

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

    July 22, 2013 AEO2014 Model Development For discussion purposes only Not for citation Overview Builldings Working Group Forrestal 2E-069 / July 22, 2013 2 * Residential projects - RECS update - Lighting model - Equipment, shell subsidies - ENERGY STAR benchmarking - Housing stock formation and decay * Commercial projects - Major end-use capacity factors - Hurdle rates - ENERGY STAR buildings * Both sectors - Consumer behavior workshop - Comparisons to STEO - AER  MER - Usual annual updates -

  13. Building Energy Codes: State and Local Code Implementation Overview

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

    Mark Lessans Fellow Building Energy Codes: State and Local Code Implementation Overview ... building code regarding energy efficiency to the revised model code and submit a ...

  14. Energy End-Use Intensities in Commercial Buildings1995 -- Tables

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

    model using survey data from the 1995 commercial buildings energy consumption survey and building energy simulations provided by the Facility Energy Decision Screening system....

  15. Btu)","per Building

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

    ,"Number of Buildings (thousand)","Floorspace (million square feet)","Floorspace per Building (thousand square feet)","Total (trillion Btu)","per Building (million Btu)","per...

  16. Building Energy Code

    Broader source: Energy.gov [DOE]

    The Rhode Island Building Code Standards Committee adopts, promulgates and administers the state building code. Compliance is determined through the building permit and inspection process by local...

  17. Residential Buildings Integration (RBI)

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

    David Lee Program Manager Residential Buildings Integration (RBI) April 22, 2014 Residential Buildings Integration (RBI) MissionVision The Residential Buildings ...

  18. Commercial Buildings Integration (CBI)

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

    Arah Schuur Program Manager Commercial Buildings Integration (CBI) April 22, 2014 Commercial Buildings Integration (CBI) 2 Commercial Buildings Integration (CBI) Mission...

  19. 1999 Commercial Buildings Characteristics

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

    Data Reports > 2003 Building Characteristics Overview 1999 Commercial Buildings Energy Consumption SurveyCommercial Buildings Characteristics Released: May 2002 Topics: Energy...

  20. Building America Building Science Translator

    Energy Savers [EERE]

    Building Science Translator February 2015 NOTICE This report was prepared as an account of work sponsored by an agency of the United States government. Neither the United States government nor any agency thereof, nor any of their employees, subcontractors, or affliated partners, make any warranty, express or implied, or assume any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represent that its use

  1. P.R. No. * Date*

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

    Low Risk (Rev 5, 2/25/2014) P.R. No. * Date* Subcontract No. or PO No. * 1 EXHIBIT G LOW RISK SECURITY REQUIREMENTS G1.0 Definitions and Acronyms (Mar 2013) Definitions and acronyms may be accessed electronically at http://www.lanl.gov/resources/_assets/docs/Exhibit-G/exhibit-g-definitions-acronyms-green.pdf G2.0 Statements Applicable to Scope of Work (May 2013) CONTRACTOR represents that all of the statements listed below are factually correct and applicable to the scope of work (SOW) for this

  2. Next Release Date: August 2013

    Gasoline and Diesel Fuel Update (EIA)

    2012 Next Release Date: August 2013 Table 20. Total renewable net summer capacity by energy source and State, 2010 (megawatts) Landfill Gas/MSW 1 Other Biomass 2 Alabama 3,272 - - 583 - - - 583 3,855 Alaska 414 - - - - - 7 7 422 Arizona 2,720 4 - 29 - 20 128 181 2,901 Arkansas 1,341 9 6 312 - - - 326 1,667 California 10,141 292 97 639 2,004 475 2,812 6,319 16,460 Colorado 662 3 10 - - 41 1,294 1,348 2,010 Connecticut 122 159 - - - - - 159 281 Delaware - 8 - - - - 2 10 10 District of Columbia -

  3. Building America Events 2014 | Department of Energy

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

    Building America Events 2014 Building America Events 2014 Event: ACI National Home Performance Conference and Trade Show Date/Time: April 29 - May 1, 2014 Description: ACI hosts the leading educational and networking events in the home performance industry in partnership with nationally-renowned experts, ffering the most comprehensive and innovative agenda. Learn more and register. Event: DOE Challenge Home Zero Energy-Ready Home Training Date/Time: April 30, 2014; 10:00am-4:00pm (with a lunch

  4. Better Buildings Neighborhood Initiative Upgrades 100,000 Buildings...

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

    ... initiative was one of several innovative models proven by the more than 40 Better ... are saving them money and improving the comfort of our buildings. | Photo by Ed Hancock, ...

  5. Buildings Interoperability Planning: Connected Buildings Interoperabil...

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

    Vision Context Steve Widergren PNNL 11 March 2015 Topics Purpose of meeting Buildings automation in the transformative time of connectivity Interoperability - a connected buildings...

  6. Building America Expert Meeting: Transforming Existing Buildings...

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

    PDF icon exptmtgideaexchange.pdf More Documents & Publications Valuing Green in the Appraisal Process - Building America Top Innovation Building America Residential Energy ...

  7. Building America Building Science Education Roadmap

    Broader source: Energy.gov [DOE]

    This roadmap outlines steps that U.S. Department of Energy Building America program must take to develop a robust building science education curriculum in coming years.

  8. Office Buildings - Types of Office Buildings

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

    administration building Insurance company headquarters building Local insurance agency Social services office Attorney's office Real estate sales office Government office State...

  9. 1999 Commercial Buildings Characteristics--Building Size

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

    (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Top Return to: "1999 CBECS-Commercial Buildings Characteristics" Specific questions...

  10. Building Technologies Program: Building America Publications

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

    and existing homes provided by the Building America Program.You may also visit the new Solution Center to find expert building science and energy efficiency resources. RSS...

  11. Building America Update - July 9, 2015 | Department of Energy

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

    9, 2015 Building America Update - July 9, 2015 July 9, 2015 - 9:54am Addthis Building Energy Optimization Version 2.4 Beta Offers Powerful Multifamily Modeling Capabilities Crowdsourcing Initiative Aims to Solve Buildings-Related Challenges: Submit Yours by July 15 Building America July 22 Webinar: Put New Tools and Content on the Building America Solution Center To Work for You! Calling All Building Science Leaders! Request for Building Science Content 2015 GreenBuilder Magazine Home of the

  12. 2007 CBECS Large Hospital Building Methodology Report

    Gasoline and Diesel Fuel Update (EIA)

    Methodology Report Main Report | Methodology | FAQ | List of Tables CBECS 2007 - Release date: August 17, 2012 Data Collection The data in the Energy Characteristics and Energy Consumed in Large Hospital Buildings in the United States in 2007 report and accompanying tables were collected in the 2007 round of the Commercial Buildings Energy Consumption Survey (CBECS). CBECS is a quadrennial survey is conducted by the Energy Information Administration (EIA) to provide basic statistical information

  13. 1999 Commercial Building Characteristics--Building Activity Comparison

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

    Building Activity Comparison Percentage of Floorspace and Buildings by Principal Building Activity, 1999 Percentage of Floorspace and Buildings by Principal Building Activity,...

  14. BSC: Building America, Building Science Consortium - 2015 Peer...

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

    BSC: Building America, Building Science Consortium - 2015 Peer Review BSC: Building America, Building Science Consortium - 2015 Peer Review Presenter: Joe Lstiburek, Building ...

  15. Building Envelope Stakeholder Workshop

    Broader source: Energy.gov [DOE]

    Oak Ridge National Laboratory is hosting a building envelope stakeholder workshop on behalf of the DOE Building Technologies Office.

  16. Residential Buildings Integration Program

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

    April 2, 2013 Residential Buildings Integration Program Building Technologies Office ... Overview of the Residential Integration Program Research Implementation tools ...

  17. Buildings | Open Energy Information

    Open Energy Info (EERE)

    influence a building, including incentives, utilities, weather, climate, and locationground temperature. Municipalities and Renewable Energy Opportunities Building...

  18. Building America Case Study: Sunnyvale Marine Climate Deep Retrofit...

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

    Partners: Builder: One Sky Homes of San Jose, CA, oneskyhomes.com Alliance for Residential Building Innovation, arbi.davisenergycom Size: 1,658 ft 2 Vintage: 1957 Date completed: ...

  19. Property:Building/StartPeriod | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search This is a property of type Date. Start of the period (first day o the month) Pages using the property "BuildingStartPeriod" Showing 25 pages using this...

  20. Property:Building/EndPeriod | Open Energy Information

    Open Energy Info (EERE)

    EndPeriod Jump to: navigation, search This is a property of type Date. End of the period (last day of the month) Pages using the property "BuildingEndPeriod" Showing 25 pages...

  1. Property:Building/YearConstruction2 | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search This is a property of type Date. Year of construction 2 (Year of construction) Pages using the property "BuildingYearConstruction2" Showing 25 pages using...

  2. Property:Buildings/PublicationYear | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search This is a property of type Date. Pages using the property "BuildingsPublicationYear" Showing 2 pages using this property. G General Merchandise 50%...

  3. Summary - Building C-400 Thermal Treatment Remedial Design Report...

    Office of Environmental Management (EM)

    Paducah, KY EM Project: Building C400 Thermal Treatment ETR Report Date: August 2007 ETR-8 United States Department of Energy Office of Environmental Management (DOE-EM) External...

  4. Modelica buildings library

    SciTech Connect (OSTI)

    Wetter, Michael; Zuo, Wangda; Nouidui, Thierry S.; Pang, Xiufeng

    2013-03-13

    This paper describes the Buildings library, a free open-source library that is implemented in Modelica, an equation-based object-oriented modeling language. The library supports rapid prototyping, as well as design and operation of building energy and control systems. First, we describe the scope of the library, which covers HVAC systems, multi-zone heat transfer and multi-zone airflow and contaminant transport. Next, we describe differentiability requirements and address how we implemented them. We describe the class hierarchy that allows implementing component models by extending partial implementations of base models of heat and mass exchangers, and by instantiating basic models for conservation equations and flow resistances. We also describe associated tools for pre- and post-processing, regression tests, co-simulation and real-time data exchange with building automation systems. Furthermore, the paper closes with an example of a chilled water plant, with and without water-side economizer, in which we analyzed the system-level efficiency for different control setpoints.

  5. Modelica buildings library

    DOE Public Access Gateway for Energy & Science Beta (PAGES Beta)

    Wetter, Michael; Zuo, Wangda; Nouidui, Thierry S.; Pang, Xiufeng

    2013-03-13

    This paper describes the Buildings library, a free open-source library that is implemented in Modelica, an equation-based object-oriented modeling language. The library supports rapid prototyping, as well as design and operation of building energy and control systems. First, we describe the scope of the library, which covers HVAC systems, multi-zone heat transfer and multi-zone airflow and contaminant transport. Next, we describe differentiability requirements and address how we implemented them. We describe the class hierarchy that allows implementing component models by extending partial implementations of base models of heat and mass exchangers, and by instantiating basic models for conservation equations andmore » flow resistances. We also describe associated tools for pre- and post-processing, regression tests, co-simulation and real-time data exchange with building automation systems. Furthermore, the paper closes with an example of a chilled water plant, with and without water-side economizer, in which we analyzed the system-level efficiency for different control setpoints.« less

  6. Commercial Buildings Energy Consumption Survey - Office Buildings

    Reports and Publications (EIA)

    2010-01-01

    Provides an in-depth look at this building type as reported in the 2003 Commercial Buildings Energy Consumption Survey. Office buildings are the most common type of commercial building and they consumed more than 17% of all energy in the commercial buildings sector in 2003. This special report provides characteristics and energy consumption data by type of office building (e.g. administrative office, government office, medical office) and information on some of the types of equipment found in office buildings: heating and cooling equipment, computers, servers, printers, and photocopiers.

  7. Archived Reference Building Type: Quick service restaurant

    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. Archived Reference Building Type: Full service restaurant

    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.

  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: 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.

  11. Energy 101: Energy Efficient Commercial Buildings

    SciTech Connect (OSTI)

    2014-03-14

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

  12. Energy 101: Energy Efficient Commercial Buildings

    ScienceCinema (OSTI)

    None

    2014-06-26

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

  13. 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.

  14. Archived Reference Building Type: Small Hotel

    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.

  15. Archived Reference Building Type: Large Hotel

    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.

  16. 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.

  17. Archived Reference Building Type: Strip mall

    Broader source: Energy.gov [DOE]

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

  18. Archived Reference Building Type: Midrise Apartment

    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 zonesis available for reference.Current versionsare also available.

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

    SciTech Connect (OSTI)

    Logue, Jennifer M.; Turner, William J. N.; Walker, Iain S.; Singer, Brett C.

    2015-01-19

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

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

    Broader source: Energy.gov [DOE]

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

  1. Better Buildings Neighborhood Program | Department of Energy

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

    Better Buildings Neighborhood Program From 2010 to 2013, the Better Buildings Neighborhood Program helped more than 40 competitively selected state and local governments develop sustainable programs to upgrade the energy efficiency of homes and buildings. These leading communities used innovation and investment in energy efficiency to expand the building improvement industry, test program delivery business models, create jobs, and save consumers hundreds of millions of dollars. From 2010 to

  2. Building America

    SciTech Connect (OSTI)

    Brad Oberg

    2010-12-31

    Builders generally use a 'spec and purchase' business management system (BMS) when implementing energy efficiency. A BMS is the overall operational and organizational systems and strategies that a builder uses to set up and run its company. This type of BMS treats building performance as a simple technology swap (e.g. a tank water heater to a tankless water heater) and typically compartmentalizes energy efficiency within one or two groups in the organization (e.g. purchasing and construction). While certain tools, such as details, checklists, and scopes of work, can assist builders in managing the quality of the construction of higher performance homes, they do nothing to address the underlying operational strategies and issues related to change management that builders face when they make high performance homes a core part of their mission. To achieve the systems integration necessary for attaining 40% + levels of energy efficiency, while capturing the cost tradeoffs, builders must use a 'systems approach' BMS, rather than a 'spec and purchase' BMS. The following attributes are inherent in a systems approach BMS; they are also generally seen in quality management systems (QMS), such as the National Housing Quality Certification program: Cultural and corporate alignment, Clear intent for quality and performance, Increased collaboration across internal and external teams, Better communication practices and systems, Disciplined approach to quality control, Measurement and verification of performance, Continuous feedback and improvement, and Whole house integrated design and specification.

  3. Building America Expert Meeting: Foundations Research Results...

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

    of Minnesota, Kohta Ueno of Building Science Corporation (BSC), and Jeff Christian of ... modeling capabilities that address variations in foundation types and soil conditions. ...

  4. Berkeley Lab to Help Build Straw Bale Building

    SciTech Connect (OSTI)

    Worsham, S.A.; Van Mechelen, G.

    1998-12-01

    The Shorebird Environmental Learning Center (SELC) is a new straw bale building that will showcase current and future technologies and techniques that will reduce the environmental impacts of building construction and operations. The building will also serve as a living laboratory to test systems and monitor their performance. The project will be the model for a building process that stops using our precious resources and reduces waste pollution. The rice straw that will be used for the bale construction is generally waste material that is typically burned--millions of tons of it a year--especially in California's San Joaquin Valley. Buildings have significant impacts on the overall environment. Building operations, including lighting, heating, and cooling, consume about 30% of the energy used in the United States. Building construction and the processes into making building materials consume an additional 8% of total energy. Construction also accounts for 39% of wood consumed in the U S, while 25% of solid waste volume is construction and demolition (C &D) debris. The SELC will incorporate a variety of materials and techniques that will address these and other issues, while providing a model of environmentally considered design for Bay Area residents and builders. Environmental considerations include energy use in construction and operations, selection of materials, waste minimization, and indoor air quality. We have developed five major environmental goals for this project: (1) Minimize energy use in construction and operations; (2) Employ material sources that are renewable, salvaged, recycled, and/or recyclable; (3) Increase building lifespan with durable materials and designs that permit flexibility and modification with minimal demolition; (4) Reduce and strive to eliminate construction debris; and (5) Avoid products that create toxic pollutants and make a healthy indoor environment.

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

    SciTech Connect (OSTI)

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

    2015-07-01

    Changing the air exchange rate of a home (the sum of the infiltration and mechanical ventilation airflow rates) affects the annual thermal conditioning energy. Large-scale changes to air exchange rates of the housing stock can significantly alter the residential sector’s energy consumption. However, the complexity of existing residential energy models is a barrier to the accurate quantification of the impact of policy changes on a state or national level.

  6. Voluntary Green Building Standards for Public Buildings

    Broader source: Energy.gov [DOE]

    NOTE: The program described below is a voluntary program that encourages state agencies to consider using green building standard. The State of Alabama does not have mandatory Green Building...

  7. Building Technologies Office 2016 Peer Review | Department of Energy

    Energy Savers [EERE]

    Emerging Technologies » Building Energy Modeling Building Energy Modeling About the portfolio Building energy modeling (BEM)-physics-based calculation of building energy consumption-is a multi-use tool for building energy efficiency. Established use cases include design of new buildings and deep retrofits, development of whole-building energy efficiency codes and standards (e.g., ASHRAE 90.1) and performance-path compliance with those codes (e.g., ASHRAE 90.1 "Appendix G" Performance

  8. Review Dates (updated May 2016) | U.S. DOE Office of Science (SC)

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

    Review Dates (updated May 2016) Project Assessment (OPA) OPA Home About Project Management SC Projects Review Dates (updated May 2016) Project Construction Photos Other Links SC Federal Project Directors (FPD) and FPD Resources Contact Information Project Assessment U.S. Department of Energy SC-28/Germantown Building 1000 Independence Ave., SW Washington, DC 20585 P: (301) 903-4840 F: (301) 903-8520 E: Email Us SC Projects Review Dates (updated May 2016) Print Text Size: A A A FeedbackShare Page

  9. Property:NEPA ApplicationDate | Open Energy Information

    Open Energy Info (EERE)

    ApplicationDate Jump to: navigation, search Property Name NEPA ApplicationDate Property Type Date This is a property of type Date. Pages using the property "NEPA ApplicationDate"...

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

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

    ventilation strategies for multifamily buildings, including how to successfully implement those strategies through smart design, specification, and construction techniques. ...

  11. Office Buildings: Consumption Tables

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

    and Type of Office Building Total (trillion Btu) per Building (million Btu) per Square Foot (thousand Btu) Dollars per Million Btu All Office Buildings 1,089 1,475 90.5 16.32...

  12. Building Energy Code

    Broader source: Energy.gov [DOE]

    In 2006 Iowa enacted H.F. 2361, requiring the State Building Commissioner to adopt energy conservation requirements based on a nationally recognized building energy code. The State Building Code...

  13. 324 Building - Hanford Site

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

    300 Area 324 Building 325 Building 400 AreaFast Flux Test Facility 618-10 and 618-11 Burial Grounds 700 Area B Plant B Reactor C Reactor Canister Storage Building and Interim ...

  14. 325 Building - Hanford Site

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

    300 Area 324 Building 325 Building 400 AreaFast Flux Test Facility 618-10 and 618-11 Burial Grounds 700 Area B Plant B Reactor C Reactor Canister Storage Building and Interim ...

  15. Types of Lighting in Commercial Buildings - Building Size and...

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

    commercial buildings. Note: Data are for non-mall buildings. Source: Energy Information Administration, 2003 Commercial Buildings Energy Consumption Survey. Office buildings and...

  16. Building America Top Innovations Hall of Fame Profile - Building...

    Energy Savers [EERE]

    Building America Top Innovations Hall of Fame Profile - Building Energy Optimization Analysis Method (BEopt) Building America Top Innovations Hall of Fame Profile - Building Energy...

  17. 3D World Building System

    ScienceCinema (OSTI)

    None

    2014-02-26

    This video provides an overview of the Sandia National Laboratories developed 3-D World Model Building capability that provides users with an immersive, texture rich 3-D model of their environment in minutes using a laptop and color and depth camera.

  18. Building Energy Code

    Broader source: Energy.gov [DOE]

    The California Building Standards Commission (BSC) is responsible for administering California's building standards adoption, publication, and implementation. Since 1989, the BSC has published tr...

  19. NREL: Buildings Research - Facilities

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

    building technologies and innovations that deliver significant energy savings in buildings, and the new facilities further extend those capabilities. In addition, the NREL...

  20. Office Buildings - Full Report

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

    administration building Insurance company headquarters building Local insurance agency Social services office Attorney's office Real estate sales office Government office State...

  1. Building America Solution Center

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

    ... Android app - iOS app (Apple) * Building Science Publications feature fully populated ... * Building America review 2012 Design * Web tool platform built using Drupal * Taxonomy ...

  2. Commercial Building Partnership

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

    goals: - show that 50% savings in new construction and 30% savings in existing buildings ... level of savings standard practice Brief History 3 | Building Technologies Office ...

  3. Building-Level Intensities

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

    . Electricity Consumption and Expenditure Intensities for Non-Mall Buildings, 2003" ,"Electricity Consumption",,,,,,"Electricity Expenditures" ,"per Building (thousand kWh)","per...

  4. Buildings | Open Energy Information

    Open Energy Info (EERE)

    work, live, learn, govern, heal, worship, and play in buildings-and they require enormous energy resources. Related Links Buildings Gateway Retrieved from "http:en.openei.orgw...

  5. Commercial Buildings Integration Program

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

    Buildings Integration Program Arah Schuur Program Manager arah.schuur@ee.doe.gov April 2, ... Commercial Buildings Integration Program Mission Accelerate voluntary uptake of ...

  6. Better Buildings Workforce Activities

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

    BETTER BUILDINGS WORKFORCE ACTIVITIES Benjamin Goldstein, Better Buildings Workforce Project Manager, U.S. Department of Energy April 24, 2014 Housekeeping and Overview 1) ...

  7. Building Energy Codes

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

    ...Impacts * Priorities for FY15 and Beyond 2 Building Energy Codes - Mission Support the building energy code and standard development, adoption, implementation and enforcement ...

  8. Building Energy Code

    Broader source: Energy.gov [DOE]

    Public Act 093-0936 (Illinois Energy Conservation Code for Commercial Buildings) was signed into law in August, 2004. The Illinois Energy Conservation Code for Commercial Buildings became...

  9. Food Sales Buildings

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

    Sales Characteristics by Activity... Food Sales Food sales buildings are buildings that are used for retail or wholesale sale of food. Basic Characteristics See also: Equipment |...

  10. Building Energy Code

    Broader source: Energy.gov [DOE]

    The Connecticut Office of the State Building Inspector establishes and enforces building, electrical, mechanical, plumbing and energy code requirements by reviewing, developing, adopting and...

  11. Office Buildings - Energy Consumption

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

    Energy Consumption Office buildings consumed more than 17 percent of the total energy used by the commercial buildings sector (Table 4). At least half of total energy, electricity,...

  12. Buildings Performance Database

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

    * Enable public access to general statistical information about buildings, without ... of real buildings. * The BPD enables statistical analysis without revealing information ...

  13. Building Technologies Program Presentation

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

    Renewable Energy Building Technologies Program Jerry Dion Acting Program Manager Building Technologies Program State Energy Advisory Board Meeting October 17, 2007 The investment ...

  14. Property:GEAReportDate | Open Energy Information

    Open Energy Info (EERE)

    the project. Pages using the property "GEAReportDate" Showing 1 page using this property. L Los Humeros III Geothermal Power Plant + 19 December 2013 + Retrieved from "http:...

  15. Categorical Exclusion (CX) Determinations By Date | Department...

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

    CX(s) Applied: DOEEA-1914 National Renewable Energy Laboratory (NREL) Date: 072815 Location(s): CO Office(s): Golden Field Office July 21, 2015 CX-100313...

  16. 1999 CBECS Principal Building Activities

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

    Data Reports > 2003 Building Characteristics Overview A Look at Building Activities in the 1999 Commercial Buildings Energy Consumption Survey The Commercial Buildings Energy...

  17. Federal Buildings Supplemental Survey -- Overview

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

    Buildings The Federal Buildings Supplemental Survey 1993 provides building-level energy-related characteristics for a special sample of commercial buildings owned by the...

  18. Health Care Buildings: Equipment Table

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

    Equipment Table Buildings, Size and Age Data by Equipment Types for Health Care Buildings Number of Buildings (thousand) Percent of Buildings Floorspace (million square feet)...

  19. Better Buildings Neighborhood Program: BetterBuildings Lowell Final Report

    SciTech Connect (OSTI)

    Heslin, Thomas

    2014-01-31

    The City of Lowell set four goals at the beginning of the Better Buildings Neighborhood Program: 1. Improve the Downtown Historic Park District’s Carbon Footprint 2. Develop a sustainable and replicable model for energy efficiency in historic buildings 3. Create and retain jobs 4. Promote multi‐stakeholder partnerships The City of Lowell, MA was awarded $5 million in May 2010 to conduct energy efficiency retrofits within the downtown National Historical Park (NHP). The City’s target was to complete retrofits in 200,000 square feet of commercial space and create 280 jobs, while adhering to the strict historical preservation regulations that govern the NHP. The development of a model for energy efficiency in historic buildings was successfully accomplished. BetterBuildings Lowell’s success in energy efficiency in historic buildings was due to the simplicity of the program. We relied strongly on the replacement of antiquated HVAC systems and air sealing and a handful of talented energy auditors and contractors. BetterBuildings Lowell was unique for the Better Buildings Neighborhood Program because it was the only program that focused solely on commercial properties. BetterBuildings Lowell did target multi‐family properties, which were reported as commercial, but the majority of the building types and uses were commercial. Property types targeted were restaurants, office buildings, museums, sections of larger buildings, mixed use buildings, and multifamily buildings. This unique fabric of building type and use allows for a deeper understanding to how different properties use energy. Because of the National Historical Park designation of downtown Lowell, being able to implement energy efficiency projects within a highly regulated historical district also provided valuable research and precedent proving energy efficiency projects can be successfully completed in historical districts and historical buildings. Our program was very successful in working with the local Historic Board, which has jurisdiction in the NHP. The Historic Board was cooperative with any exterior renovations as long as they were not changing the existing aesthetics of the property. If we were replacing a rooftop condenser it needed to be placed where the existing rooftop condenser was located. Receiving proper approval from the Historic Board for any external energy conservation measures was known by all the participating contractors. One area of the retrofits that was contentious regarded venting of the new HVAC equipment. Installing external stacks was not allowed so the contractors had to negotiate with the Historic Board regarding the proper way to vent the equipment that met the needs mechanically and aesthetically. Overall BetterBuildings Lowell was successful at implementing energy and cost saving measures into 31 commercial properties located within the NHP. The 31 retrofits had 1,554,768 square feet of commercial and multifamily housing and a total predicted energy savings exceeding 22,869 a year. Overall the City of Lowell achieved its target goals and is satisfied with the accomplishments of the BetterBuildings program. The City will continue to pursue energy efficient programs and projects.

  20. Building Controls Virtual Test Bed

    Energy Science and Technology Software Center (OSTI)

    2008-04-01

    The Building Controls Virtual Test Bed (BCVTB) is a modular software environment that is based on the Ptolemy II software environment. The BCVTB can be used for design and analysis of heterogenous systems, such as building energy and controls systems. Our additions to Ptolemy II allow users to Couple to Ptolemy II simulation software such as EnergyPlus, MATLAB/Simulink or Dymola for data exchange during run-time. Future versions of the BCVTS will also contain an interfacemore » to BACnet which is a communication protocol for building Control systems, and interfaces to digital/analog converters that allow communication with controls hardware. Through Ptolemy II, the BCVTB provides a graphical model building environment, synchronizes the exchanged data and visualizes the system evolution during run- time.« less

  1. Build Replication into Corporate Culture | Department of Energy

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

    Build Replication into Corporate Culture Build Replication into Corporate Culture This presentation addresses how to build replication into the corporate culture. PDF icon Build Replication into Corporate Culture (August 23, 2011) More Documents & Publications Implementing a Corporate Energy Management System 3M's Model Rewards and Recognition Program Engages Employees and Drives Energy Savings Efforts Replicate Best Practices

  2. 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.

  3. Events | Buildings | NREL

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

    Events Below are upcoming events related to buildings research. No current events have been scheduled

  4. Property:OpenEI/PublicationDate | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name OpenEIPublicationDate Property Type Date Description The date the resource was first published. Retrieved from "http:...

  5. Property:Geothermal/ProjectEndDate | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name GeothermalProjectEndDate Property Type Date Description Project End Date Retrieved from "http:en.openei.orgw...

  6. Property:Geothermal/ProjectStartDate | Open Energy Information

    Open Energy Info (EERE)

    Jump to: navigation, search Property Name GeothermalProjectStartDate Property Type Date Description Project Start Date Retrieved from "http:en.openei.orgw...

  7. Property:Estimated End Date | Open Energy Information

    Open Energy Info (EERE)

    Estimated End Date Jump to: navigation, search Property Name Estimated End Date Property Type String Pages using the property "Estimated End Date" Showing 4 pages using this...

  8. Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    Current and Past EditionsGlossaryPopular TablesQuery Tools Contact Us Search What Is the Buildings Energy Data Book? The Data Book includes statistics on residential and commercial building energy consumption. Data tables contain statistics related to construction, building technologies, energy consumption, and building characteristics. The Building Technologies Program within the U.S. Department of Energy's Office of Energy Efficiency and Renewable Energy developed this resource to provide a

  9. Buildings Energy Data Book

    Buildings Energy Data Book [EERE]

    4.1 Federal Buildings Energy Consumption 4.2 Federal Buildings and Facilities Characteristics 4.3 Federal Buildings and Facilities Expenditures 4.4 Legislation Affecting Energy Consumption of Federal Buildings and Facilities 5Envelope and Equipment 6Energy Supply 7Laws, Energy Codes, and Standards 8Water 9Market Transformation Glossary Acronyms and Initialisms Technology Descriptions Building Descriptions Other Data Books Biomass Energy Transportation Energy Power Technologies Hydrogen Download

  10. Buildings Energy Data Book

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

    Building Type Definition Includes These Sub-Categories from 2003 CBECS Questionnaire Education Buildings used for academic or technical classroom instruction, such as elementary, middle, or high schools, and classroom buildings on college or university campuses. Buildings on education campuses for which the main use is not classroom are included in the category relating to their use. For example, administration buildings are part of "Office", dormitories are "Lodging", and

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

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

    House Simulation Protocols have helped ensure consistent and accurate energy-efficiency assessments for tens of thousands of new and retrofit homes supported by the Building ...

  12. Building America Building Science Education Roadmap

    Energy Savers [EERE]

    ... (district heating and cooling, landfill gas generation, etc.) 14. Putting it all ... building performance to financing and insurance: e.g. energy improvement mortgages ...

  13. 1999 Commercial Buildings Characteristics--Principal Building...

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

    contact the National Energy Information Center at (202) 586-8800. Energy Information Administration Commercial Buildings Energy Consumption Survey Differences between the...

  14. Building Green in Greensburg: City Hall Building

    Broader source: Energy.gov [DOE]

    This poster highlights energy efficiency, renewable energy, and sustainable features of the high-performing City Hall building in Greensburg, Kansas.

  15. Building Green in Greensburg: Business Incubator Building

    Broader source: Energy.gov [DOE]

    This poster highlights energy efficiency, renewable energy, and sustainable features of the high-performing SunChips Business Incubator building in Greensburg, Kansas.

  16. Building America: Bringing Building Innovations to Market | Department of

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

    Energy America: Bringing Building Innovations to Market Building America: Bringing Building Innovations to Market New Building America Fact Sheet Highlights Program New Building America Fact Sheet Highlights Program Read more Building America Research-to-Market Plan Released Building America Research-to-Market Plan Released Read the plan that will guide Building America's research and development activities over the coming years. Read more Building America Projects Focus on Building

  17. Pretreated Slurries; Issue Date: August 2010; Revision Date: July 2011 (Version 07-08-2011)

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

    Summative Mass Closure Laboratory Analytical Procedure (LAP) Review and Integration: Pretreated Slurries Issue Date: August 2010 Revision Date: July 2011 (Version 07-08-2011) J. Sluiter and A. Sluiter Technical Report NREL/TP-510-48825 Revised July 2011 Technical Report Summative Mass Closure NREL/TP-510-48825 Revised July 2011 Laboratory Analytical Procedure (LAP) Review and Integration: Pretreated Slurries Issue Date: August 2010 Revision Date: July 2011 (Version 07-08-2011) J. Sluiter and A.

  18. Building Energy Modeling (BEM) Overview

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

    * Design: architecture, HVAC system selection & sizing * Operations: HVAC fault diagnosis, dynamic control & demand response * Market: code development & compliance, ratings, ...

  19. Commercial Building Envelope Technology Webinar Series | Department of

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

    Energy Commercial Building Envelope Technology Webinar Series Commercial Building Envelope Technology Webinar Series May 31, 2016 1:00PM to 1:45PM EDT Oak Ridge National Lab logo. U.S. DOE's Better Building Alliance and Oak Ridge National Laboratory (ORNL) are hosting a webinar series focused on advancing envelope technologies in commercial buildings. Register for the webinars in the series by clicking the each of the topics/dates below. Energy Efficiency - Walls. May 24, 1 to 1:45 p.m. EST

  20. Commercial Building Envelope Technology Webinar Series | Department of

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

    Energy Commercial Building Envelope Technology Webinar Series Commercial Building Envelope Technology Webinar Series May 24, 2016 1:00PM to 1:45PM EDT Oak Ridge National Lab logo. U.S. DOE's Better Building Alliance and Oak Ridge National Laboratory (ORNL) are hosting a webinar series focused on advancing envelope technologies in commercial buildings. Register for the webinars in the series by clicking the each of the topics/dates below. Energy Efficiency - Walls. May 24, 1 to 1:45 p.m. EST