National Library of Energy BETA

Sample records for row factors single-family

  1. North Shore Gas- Single Family Direct Install

    Broader source: Energy.gov [DOE]

    Owners of single-family homes, condos, townhomes and two-flats may be eligible for a free installation of new programmable thermostats, pipe insulation, showerheads, Compact Fluorescent Bulbs (CFLs...

  2. The Standard Work Specifications for Single-Family Home Energy...

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

    The Standard Work Specifications for Single-Family Home Energy Upgrades are now available at your fingertips The Standard Work Specifications for Single-Family Home Energy ...

  3. Standard Work Specifications for Single-Family Home Energy Upgrades...

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

    Standard Work Specifications for Single-Family Home Energy Upgrades Summary Fact Sheet Standard Work Specifications for Single-Family Home Energy Upgrades Summary Fact Sheet The ...

  4. Experimental plan for the Single-Family Study

    SciTech Connect (OSTI)

    Berry, L.G.; Brown, M.A.; Wright, T.; White, D.L.

    1991-09-01

    The national evaluation of the Weatherization Assistance Program (WAP) consists of five separate studies. The Single-Family Study is one of three studies that will estimate program energy savings and cost effectiveness in principal WAP submarkets. This report presents the experimental plan for the Single-Family Study, which will be implemented over the next three years (1991--1993). The Single-Family Study will directly estimate energy savings for a nationally representative sample of single-family and small multifamily homes weatherized in the 1989 program year. Savings will be estimated from gas and electric utility billing records using the Princeton Scorekeeping Method (PRISM). The study will also assess nonenergy impacts (e.g., health, comfort, safety, and housing affordability), estimate cost effectiveness, and analyze factors influencing these outcomes. For homes using fuels such as wood, coal, fuel oil, kerosene, and propane as the primary source of space conditioning, energy savings will be studied indirectly. The study will assemble a large nationally representative data base. A cluster sampling approach will be used, in which about 400 subgrantees are selected in a first stage and weatherized homes are selected in a second range. To ensure that the Single-Family Study is able to identify promising opportunities for future program development, two purposively selected groups of subgrantees will be included: (1) subgrantees that install cooling measures (such as more efficient air conditioning equipment or radiant barriers), and (2) exemplary subgrantees that use state-of-the-art technologies and service delivery procedures (such as advanced audit techniques, blower door tests, infrared scanners, extensive client education, etc.). These two groups of subgrantees will be analyzed to identify the most effective program elements in specific circumstances. 14 refs., 4 figs., 3 tabs.

  5. Row fault detection system

    DOE Patents [OSTI]

    Archer, Charles Jens (Rochester, MN); Pinnow, Kurt Walter (Rochester, MN); Ratterman, Joseph D. (Rochester, MN); Smith, Brian Edward (Rochester, MN)

    2012-02-07

    An apparatus, program product and method check for nodal faults in a row of nodes by causing each node in the row to concurrently communicate with its adjacent neighbor nodes in the row. The communications are analyzed to determine a presence of a faulty node or connection.

  6. Standard Work Specifications for Single-Family Home Energy Upgrades Summary

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

    Fact Sheet | Department of Energy Standard Work Specifications for Single-Family Home Energy Upgrades Summary Fact Sheet Standard Work Specifications for Single-Family Home Energy Upgrades Summary Fact Sheet The U.S. Department of Energy (DOE), the National Renewable Energy Laboratory (NREL) and numerous industry stakeholders developed the Standard Work Specifications for Single-Family Home Energy Upgrades to define the minimum requirements for high-quality residential energy upgrades.

  7. DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders

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

    | Department of Energy Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero Floorplans: Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero Floorplans: Row Homes at

  8. The Standard Work Specifications for Single-Family Home Energy Upgrades are

    Energy Savers [EERE]

    now available€ at your fingertips! | Department of Energy The Standard Work Specifications for Single-Family Home Energy Upgrades are now available€ at your fingertips! The Standard Work Specifications for Single-Family Home Energy Upgrades are now available€ at your fingertips! This announcement contains information on the availability of the SWS Online Tool. PDF icon sws_tool_available.pdf More Documents & Publications Guidelines for Home Energy Professionals: Request for

  9. Analysis of Installed Measures and Energy Savings for Single-Family Residential Better Buildings Projects

    SciTech Connect (OSTI)

    Heaney, M.; Polly, B.

    2015-04-30

    This report presents an analysis of data for residential single-family projects reported by 37 organizations that were awarded federal financial assistance (cooperative agreements or grants) by the U.S. Department of Energy’s Better Buildings Neighborhood Program.1 The report characterizes the energy-efficiency measures installed for single-family residential projects and analyzes energy savings and savings prediction accuracy for measures installed in a subset of those projects.

  10. Level: National and Regional Data; Row: Values of Shipments and...

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

    than 50 percent. NANot available. Notes: To obtain the RSE percentage for any table cell, multiply the cell's corresponding RSE column and RSE row factors. Totals may not equal...

  11. Weatherization and Indoor Air Quality: Measured Impacts in Single Family Homes Under the Weatherization Assistance Program

    SciTech Connect (OSTI)

    Pigg, Scott; Cautley, Dan; Francisco, Paul; Hawkins, Beth A; Brennan, Terry M

    2014-09-01

    This report summarizes findings from a national field study of indoor air quality parameters in homes treated under the Weatherization Assistance Program (WAP). The study involved testing and monitoring in 514 single-family homes (including mobile homes) located in 35 states and served by 88 local weatherization agencies.

  12. The earth-coupled heat pump: Utilizing innovative technology in single family rehabilitation strategies

    SciTech Connect (OSTI)

    Not Available

    1989-11-01

    The study examines the feasibility of incorporating the use of earth-coupled heat pump technology in single-family housing rehabilitation projects, based on energy conservation attributes and financial considerations. Following evaluation of a theoretical model which indicated that installations of the heat pumps were feasible, the heat pumps were tested under actual conditions in five single family housing units which were part of the Urban Homesteading Program, and were matched with comparable units which did not receive special treatment. Energy consumption information was collected for all units for twelve months. Variables were identified, and the data was analyzed for individual housing units and compared with the results predicted by the theoretical model to determine the practicality of incorporating such technology in large scale rehabilitation projects. 14 refs., 14 figs., 3 tabs.

  13. Standard Work Specifications for Single-Family Home Energy Upgrades Summary (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2012-11-01

    The U.S. Department of Energy (DOE), the National Renewable Energy Laboratory (NREL) and numerous industry stakeholders developed the Standard Work Specifications for Single-Family Home Energy Upgrades to define the minimum requirements for high-quality residential energy upgrades. Today, the Standard Work Specifications provide a unique source for defining high-quality home energy upgrades, establishing clear expectations for homeowners, contractors, trainers, workers, program administrators, and organizations that provide financing for energy upgrades.

  14. Managing the Drivers of Air Flow and Water Vapor Transport in Existing Single-Family Homes

    SciTech Connect (OSTI)

    Cummings, James; Withers, Charles; Martin, Eric; Moyer, Neil

    2012-10-01

    This report is a revision of an earlier report titled: Measure Guideline: Managing the Drivers of Air Flow and Water Vapor Transport in Existing Single-Family Homes. Revisions include: Information in the text box on page 1 was revised to reflect the most accurate information regarding classifications as referenced in the 2012 International Residential Code. “Measure Guideline” was dropped from the title of the report. An addition was made to the reference list.

  15. Zero Energy-Ready Single-Family Homes - Building America Top Innovation |

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

    Department of Energy Photo of a zero-energy, single-family home. Building homes that are zero energy ready is a goal of the U.S. Department of Energy's (DOE) Building America program and one embodied in Building America's premier home certification program, the Challenge Home (now Zero Energy Ready Home) program. This Top Innovation highlights Building America research teams who have worked directly with builders to construct zero energy or zero energy ready homes. Since 2008, DOE Builders

  16. National impacts of the Weatherization Assistance Program in single-family and small multifamily dwellings

    SciTech Connect (OSTI)

    Brown, M.A.; Berry, L.G.; Balzer, R.A.; Faby, E.

    1993-05-01

    Since 1976, the US Department of Energy (DOE) has operated one of the largest energy conservation programs in the nation -- the low-income Weatherization Assistance Program. The program strives to increase the energy efficiency of dwellings occupied by low-income persons in order to reduce their energy consumption, lower their fuel bills, increase the comfort of their homes, and safeguard their health. It targets vulnerable groups including the elderly, people with disabilities, and families with children. The most recent national evaluation of the impacts of the Program was completed in 1984 based on energy consumption data for households weatherized in 1981. DOE Program regulations and operations have changed substantially since then: new funding sources, management principles, diagnostic procedures, and weatherization technologies have been incorporated. Many of these new features have been studied in isolation or at a local level; however, no recent evaluation has assessed their combined, nationwide impacts to date or their potential for the future. In 1990, DOE initiated such an evaluation. This evaluation is comprised of three ``impact`` studies (the Single-Family Study, High-Density Multifamily Study, and Fuel-Oil Study) and two ``policy`` studies. Altogether, these five studies will provide a comprehensive national assessment of the Weatherization Assistance Program as it existed in the 1989 Program Year (PY 1989). This report presents the results of the first phase of the Single-Family Study. It evaluates the energy savings and cost effectiveness of the Program as it has been applied to the largest portion of its client base -- low-income households that occupy single-family dwellings, mobile homes, and small (2- to 4-unit) multifamily dwellings. It is based upon a representative national sample that covers the full range of conditions under which the program was implemented in PY 1989.

  17. DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders |

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

    Department of Energy Row Homes at Perrin's Row by New Town Builders DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders Addthis 1 of 14 New Town Builders, now known as Thrive, built 26 units at the Row Homes at Perrin's Row in Denver, Colorado, to the performance criteria of the U.S. Department of Energy Zero Energy Ready Home (ZERH) program. 2 of 14 Homeowners in the three-story row homes are projected to save $682 in annual energy costs thanks to the homes' efficient

  18. The Standard Work Specifications for Single-Family Home Energy Upgrades are now available€ at your fingertips!

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

    The Standard Work Specifications for Single-Family Home Energy Upgrades are now availableat your fingertips! The National Renewable Energy Laboratory (NREL) and the U.S. Department of Energy (DOE) are pleased to announce that the Standard Work Specifications for Single-Family Home Energy Upgrades are now available via a user-friendly online tool, with specifications for manufactured housing and multifamily homes to follow. Explore the Standard Work Specifications Online Tool now. Standard work

  19. " Row: Selected SIC Codes; Column: Energy...

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

    ...lion","NGL(e)","(million","(million","Other(f)","Row" "Code(a)","Major Group and ... raw" "Natural Gas Liquids '(NGL).'" " (f) 'Other' includes all other energy that was ...

  20. Standard Work Specifications for Single-Family Home Energy Upgrades Summary (Fact Sheet), Guidelines For Home Energy Professionals, Energy Efficiency & Renewable Energy (EERE)

    Energy Savers [EERE]

    Work Specifications for Single-Family Home Energy Upgrades Summary The U.S. Department of Energy (DOE), the National Renewable Energy Laboratory (NREL) and numer- ous industry stakeholders developed the Standard Work Specifications for Single-Family Home Energy Upgrades to define the minimum requirements for high- quality residential energy upgrades. The Standard Work Specifications for Single-Family Home Energy Upgrades is the first of three documents that will be published in 2012 and 2013 as

  1. Measured energy savings and economics of retrofitting existing single- family homes: An update of the BECA-B database

    SciTech Connect (OSTI)

    Cohen, S.D.; Goldman, C.A.; Harris, J.P.

    1991-02-01

    These appendices are the companion volume to report number LBL--28147 Vol.1, with the same title. The summary data tables include physical characteristics, energy consumption, savings, and the retrofit measures installed and their costs for each retrofit project. Each existing single family residential building'' retrofit project in the BECA-B database is described. 99 refs. (BM)

  2. BLM ROW Grant Template | Open Energy Information

    Open Energy Info (EERE)

    BLM ROW Grant TemplateLegal Published NA Year Signed or Took Effect 2014 Legal Citation Not provided DOI Not Provided Check for DOI availability: http:crossref.org Online...

  3. CSLB ROW Forms | Open Energy Information

    Open Energy Info (EERE)

    various forms and information related to surface Rights of Way on or across state trust lands. Published NA Year Signed or Took Effect 2014 Legal Citation CSLB ROW Forms DOI...

  4. Measurement-Based Evaluation of Installed Filtration System Performance in Single-Family Homes

    SciTech Connect (OSTI)

    Chan, Wanyu Rengie; Singer, Brett C.

    2014-04-03

    This guide discusses important study design issues to consider when conducting an on-site evaluation of filtration system performance. The two most important dichotomies to consider in developing a study protocol are (1) whether systems are being evaluated in occupied or unoccupied homes and (2) whether different systems are being compared in the same homes or if the comparison is between systems installed in different homes. This document provides perspective and recommendations about a suite of implementation issues including the choice of particle measurement devices, selection of sampling locations, ways to control and/or monitor factors and processes that can impact particle concentrations, and data analysis approaches.

  5. " Row: NAICS Codes;"

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

    2. Number of Establishments by Usage of Cogeneration Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" " "," ",,"with Any"," Steam Turbines","Supplied","by Either","Conventional","Combustion","Turbines"," ","

  6. " Row: NAICS Codes;"

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

    2.1. Enclosed Floorspace and Number of Establishment Buildings, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All

  7. " Row: NAICS Codes;"

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2002; " " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." " "," ",,," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion Turbines",,,"Internal

  8. " Row: NAICS Codes;"

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

    1 Enclosed Floorspace and Number of Establishment Buildings, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All

  9. " Row: NAICS Codes;"

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" ,,,"with Any"," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion

  10. " Row: NAICS Codes;"

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

    9.1 Enclosed Floorspace and Number of Establishment Buildings, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All

  11. " Row: NAICS Codes;"

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

    9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010;" " Level: National Data; " " Row: NAICS Codes;" " Column: Floorspace and Buildings;" " Unit: Floorspace Square Footage and Building Counts." ,,"Approximate",,,"Approximate","Average" ,,"Enclosed Floorspace",,"Average","Number","Number" ,,"of All Buildings",,"Enclosed Floorspace","of All

  12. " Row: NAICS Codes;"

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

    3 Number of Establishments by Usage of Cogeneration Technologies, 2010;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within Cogeneration Technologies;" " Unit: Establishment Counts." ,,,"Establishments" ,,,"with Any"," Steam Turbines Supplied by Either Conventional or Fluidized Bed Boilers",,,"Conventional Combusion Turbines with Heat Recovery",,,"Combined-Cycle Combusion

  13. Improving Data Center Efficiency with Rack or Row Cooling Devices |

    Office of Environmental Management (EM)

    Department of Energy Improving Data Center Efficiency with Rack or Row Cooling Devices Improving Data Center Efficiency with Rack or Row Cooling Devices Brochure describes the results of "Chill-Off 2" comparative testing and improving data center efficiency with rack or row cooling devices. PDF icon dc_chilloff2.pdf More Documents & Publications Top ECMs for Labs and Data Centers Energy Efficiency Opportunities in Federal High Performance Computing Data Centers Case Study:

  14. Benchmarking for electric utilities, tree trimming benchmarking, service line installation to single family residence, and distribution revenue meter testing and repair

    SciTech Connect (OSTI)

    Harder, J.

    1994-12-31

    An American Public Power Association (APPA) task force study on benchmarking for electric utilities is presented. Benchmark studies were made of three activities: (1) Tree trimming; (2) Service line installation to single family residence; (3) Distribution revenue meter testing and repair criteria. The results of the study areas are summarized for 15 utilities. The methodologies used for data collection and analysis are discussed. 28 figs., 9 tabs.

  15. NMSLO Affidavit of Completion of ROW Construction | Open Energy...

    Open Energy Info (EERE)

    NMSLO Affidavit of Completion of ROW Construction Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- OtherOther: NMSLO Affidavit of Completion of...

  16. NMSLO Application for ROW Easement | Open Energy Information

    Open Energy Info (EERE)

    Application for ROW EasementLegal Published NA Year Signed or Took Effect 2014 Legal Citation Not provided DOI Not Provided Check for DOI availability: http:crossref.org...

  17. NMSLO Surface Division ROW FAQs | Open Energy Information

    Open Energy Info (EERE)

    Surface Division ROW FAQsLegal Published NA Year Signed or Took Effect 2007 Legal Citation Not provided DOI Not Provided Check for DOI availability: http:crossref.org Online...

  18. Improving Data Center Efficiency with Rack or Row Cooling Devices

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

    Challenging conventional cooling systems Rack/row-mounted cooling devices can replace or supplement conventional cooling systems and result in energy savings. Conventional data center cool- ing is achieved with computer room air conditioners (CRACs) or computer room air handlers (CRAHs). These CRAC and CRAH units are typically installed in data centers on top of raised-foors that are used for cooling air distribution. Such under-foor air distribution is not required by the new rack/row-mounted

  19. Characteristics RSE Column Factor: Total

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

    and 1994 Vehicle Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  20. " Row: NAICS Codes; Column: Energy Sources...

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

    Gas(d)","NGL(e)","Coal","and Breeze","Other(f)","Factors" ,,"Total United States" ,"RSE ... raw" "Natural Gas Liquids '(NGL).'" " (f) 'Other' includes energy that respondents ...

  1. " Row: NAICS Codes; Column: Energy Sources...

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

    Oil","Fuel Oil(d)","Natural Gas(e)","NGL(f)","Coal","and Breeze","Other(g)","Factors" ... marketing subsidiaries of utilities." " (f) Examples of Liquefied Petroleum Gases ...

  2. " Row: NAICS Codes; Column: Electricity Components;"

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

    1 Electricity: Components of Net Demand, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," ",,,,,," " " "," ",,,"Total ","Sales and","Net Demand","RSE" "NAICS"," ",,"Transfers ","Onsite","Transfers","for","Row"

  3. Final row of solar panels installed at Livermore | National Nuclear

    National Nuclear Security Administration (NNSA)

    Security Administration row of solar panels installed at Livermore | National Nuclear Security Administration Facebook Twitter Youtube Flickr RSS People Mission Managing the Stockpile Preventing Proliferation Powering the Nuclear Navy Emergency Response Recapitalizing Our Infrastructure Countering Nuclear Terrorism About Our Programs Our History Who We Are Our Leadership Our Locations Budget Our Operations Library Bios Congressional Testimony Fact Sheets Newsletters Press Releases Photo

  4. New energy-conserving passive solar single-family homes. Cycle 5, Category 2 HUD solar heating and cooling demonstration program

    SciTech Connect (OSTI)

    Not Available

    1981-01-01

    The 91 new single-family, energy-conserving passive solar homes described represent award winning designs of the series of five demonstration cycles of the HUD program. Information is presented to help builders and lenders to understand passive solar design, to recognize passive solar buildings, and to provide specific design, construction, and marketing suggestions and details. The first section describes the concept of passive solar energy, explains the various functions which passive solar systems must perform, and discusses the various types of passive systems found in the Cycle 5 projects. The second section discusses each of the 91 solar homes. The third section details the issues of climate requirements and site design concerns, gives examples of building construction, and suggests how to market solar homes. The appendices address more technical aspects of the design and evaluation of passive solar homes.

  5. File:03-CO-b - ROW Process for State Land Board Land.pdf | Open...

    Open Energy Info (EERE)

    CO-b - ROW Process for State Land Board Land.pdf Jump to: navigation, search File File history File usage Metadata File:03-CO-b - ROW Process for State Land Board Land.pdf Size of...

  6. File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf | Open...

    Open Energy Info (EERE)

    03CAAStateLandLeasingProcessAndLandAccessROWs.pdf Jump to: navigation, search File File history File usage Metadata File:03CAAStateLandLeasingProcessAndLandAccessROWs.pdf Size of...

  7. File:03AKBRightOfWaysROWs.pdf | Open Energy Information

    Open Energy Info (EERE)

    AKBRightOfWaysROWs.pdf Jump to: navigation, search File File history File usage Metadata File:03AKBRightOfWaysROWs.pdf Size of this preview: 463 599 pixels. Other resolution:...

  8. File:03HIEConstructionUponAStateHighwayROW.pdf | Open Energy...

    Open Energy Info (EERE)

    HIEConstructionUponAStateHighwayROW.pdf Jump to: navigation, search File File history File usage Metadata File:03HIEConstructionUponAStateHighwayROW.pdf Size of this preview: 463...

  9. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    0.5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Residual Fuel Oil(b) Alternative Energy Sources(c) Coal Coke NAICS Total Establishments Not Electricity Natural Distillate and Code(a) Selected Subsectors and Industry Consuming Residual Fuel Oil(d Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food

  10. Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings;

    Gasoline and Diesel Fuel Update (EIA)

    9.1 Enclosed Floorspace and Number of Establishment Buildings, 2010; Level: National Data; Row: NAICS Codes; Column: Floorspace and Buildings; Unit: Floorspace Square Footage and Building Counts. Approximate Approximate Average Enclosed Floorspace Average Number Number of All Buildings Enclosed Floorspace of All Buildings of Buildings Onsite NAICS Onsite Establishments(b) per Establishment Onsite per Establishment Code(a) Subsector and Industry (million sq ft) (counts) (sq ft) (counts) (counts)

  11. " Row: NAICS Codes; Column: Electricity Components;"

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

    1 Electricity: Components of Net Demand, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and

  12. " Row: NAICS Codes; Column: Energy Sources;"

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

    1. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," ","

  13. " Row: NAICS Codes; Column: Energy Sources;"

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

    2. Fuel Consumption, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," ","

  14. " Row: NAICS Codes; Column: Energy Sources;"

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

    1 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," ","

  15. " Row: NAICS Codes; Column: Energy Sources;"

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

    2 Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," ","

  16. " Row: NAICS Codes; Column: Energy Sources;"

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

    4 Number of Establishments by Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS","

  17. " Row: NAICS Codes; Column: Energy Sources;"

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

    1 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," ","

  18. " Row: NAICS Codes; Column: Energy Sources;"

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

    2 Offsite-Produced Fuel Consumption, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "NAICS"," ","

  19. " Row: NAICS Codes; Column: Energy Sources;"

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

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," ",," " " "," ","Any Combustible" "NAICS","

  20. " Row: NAICS Codes; Column: Energy Sources;"

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

    1 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,,,,"Coke" ,,,,"Net",,"Residual","Distillate","Natural Gas(d)",,"LPG and","Coal","and Breeze" "NAICS",,"Total",,"Electricity(b)",,"Fuel Oil","Fuel

  1. " Row: NAICS Codes; Column: Energy Sources;"

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

    2 Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Net",,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural

  2. " Row: NAICS Codes; Column: Energy Sources;"

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

    3.4 Number of Establishments by Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS","

  3. " Row: NAICS Codes; Column: Energy Sources;"

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

    1 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",,,," "," "," ",," "," "," "," "," " " "," ",,,,,,,,,,,"Coke" " "," ","

  4. " Row: NAICS Codes; Column: Energy Sources;"

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

    2 Offsite-Produced Fuel Consumption, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,,,"Residual","Distillate",,,"LPG and",,,"Coke" "Code(a)","Subsector and Industry","Total",,"Electricity(b)",,"Fuel Oil","Fuel Oil(c)","Natural

  5. " Row: NAICS Codes; Column: Energy Sources;"

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

    1 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." ,,,,,,,,,"Coke" ,,,,"Residual","Distillate","Natural Gas(d)","LPG and","Coal","and Breeze" "NAICS",,"Total","Electricity(b)","Fuel Oil","Fuel

  6. " Row: NAICS Codes; Column: Energy Sources;"

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

    2 Offsite-Produced Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." "NAICS",,,,"Residual","Distillate",,"LPG and",,"Coke" "Code(a)","Subsector and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural

  7. " Row: NAICS Codes; Column: Energy Sources;"

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

    4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS","

  8. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    2. Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,,"RSE" "SIC"," ","

  9. Level: National Data; Row: Employment Sizes within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    4 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 562.6 4.7 2.4 50-99 673.1 5.1 2.4 100-249 1,072.8 6.5 3.0 250-499 1,564.3

  10. Level: National Data; Row: Employment Sizes within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    4 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Employment Sizes within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Employment Size Under 50 625.5 3.3 1.7 50-99 882.3 5.8 2.5 100-249 1,114.9 5.8 2.5 250-499 2,250.4

  11. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2006 Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any Combustible NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 183 0 105 38 Q 0 W 8 3112 Grain and Oilseed Milling 36 0 Q 13 W 0 0 6 311221 Wet Corn Milling W 0 0 0 0 0 0 W 31131 Sugar

  12. Level: National Data; Row: NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    3.4 Number of Establishments by Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Net Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,113 326 1,462 11,395 2,920 67 13 1,240 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 148 311221 Wet Corn Milling 47 47 W 17

  13. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    2.4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any Combustible NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal and Breeze Other(f) Total United States 311 Food 592 W Q Q Q 0 0 345 3112 Grain and Oilseed Milling 85 0 W 15 Q 0 0 57 311221 Wet Corn Milling 8 0 0 0 0 0 0 8 31131 Sugar

  14. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 13,269 13,265 144 2,413 10,373 4,039 64 W 1,496 3112 Grain and Oilseed Milling 602 602 9 201 489 268 30 0 137 311221 Wet Corn

  15. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. NAICS Total Not Electricity Natural Distillate Residual Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil LPG Other(f) Total United States 311 Food 67 21 49 W 19 10 W W W 3112 Grain and Oilseed Milling 35 7 29 W 7 3 0 W W 311221 Wet Corn Milling 18 4 17 0 4 W 0 W

  16. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Not Electricity Natural Distillate Residual and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil Coal Breeze Other(f) Total United States 311 Food 2,920 325 1,945 171 174 25 W 0 0 15 3112 Grain and Oilseed Milling 269 36 152 Q Q W W 0 0 W

  17. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Natural Gas(b) Alternative Energy Sources(c) Coal Coke NAICS Total Not Electricity Distillate Residual and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Fuel Oil Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 11,395 1,830 6,388 484 499 245 Q 555 0 203 3112

  18. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Residual Fuel Oil(b) Alternative Energy Sources(c) Coal Coke NAICS Total Not Electricity Natural Distillate and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 326 178 23 0 150 Q 0 Q 0 W 3112 Grain and

  19. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Not Natural Distillate Residual and Code(a) Subsector and Industry Receipts(d) Switchable Switchable Gas Fuel Oil Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 14,109 708 8,259 384 162 0 Q 105 0 84 3112 Grain and Oilseed Milling 580 27 472 3 Q 0 W W 0 W 311221 Wet

  20. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Not Electricity Natural Residual and Code(a) Subsector and Industry Consumed(d) Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 1,462 276 900 Q 217 8 0 25 0 16 3112 Grain and Oilseed Milling 174 10 131 W 4 W 0 W 0 W 311221

  1. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. NAICS Total Establishments Not Electricity Natural Distillate Residual Code(a) Selected Subsectors and Industry Consuming Coal(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil LPG Other(f) Total United States 311 Food 64 19 54 0 17 6 W W W 3112 Grain and Oilseed Milling 30 13 24 0 12 W 0 W W 311221 Wet

  2. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Establishments Not Electricity Natural Distillate Residual and Code(a) Selected Subsectors and Industry Consuming LPG(d) Switchable Switchable Receipts(e) Gas Fuel Oil Fuel Oil Coal Breeze Other(f) Total United States 311 Food 4,039 600 2,860 356 221 Q W 0 0 16 3112 Grain and Oilseed Milling

  3. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Natural Gas(b) Alternative Energy Sources(c) Coal Coke NAICS Total Establishments Not Electricity Distillate Residual and Code(a) Selected Subsectors and Industry Consuming Natural Gas(d Switchable Switchable Receipts(e) Fuel Oil Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 10,373 1,667

  4. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Establishments Not Natural Distillate Residual and Code(a) Selected Subsectors and Industry with Electricity Receipts(d Switchable Switchable Gas Fuel Oil Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 13,265 765 11,829 482 292 Q Q 51 Q Q 3112 Grain and Oilseed

  5. Level: National Data; Row: NAICS Codes; Column: Energy Sources;

    Gasoline and Diesel Fuel Update (EIA)

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources; Unit: Establishment Counts. Coal Coke NAICS Total Establishments Not Electricity Natural Residual and Code(a) Selected Subsectors and Industry Consuming Distillate Fuel Oil(d Switchable Switchable Receipts(e) Gas Fuel Oil Coal LPG Breeze Other(f) Total United States 311 Food 2,416 221 2,115 82 160 Q 0 Q 0 30 3112 Grain and

  6. Level: National Data; Row: Values of Shipments within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    3 Consumption Ratios of Fuel, 2006; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 330.6 3.6 2.0 20-49 550.0 4.5 2.2

  7. Level: National Data; Row: Values of Shipments within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    3 Consumption Ratios of Fuel, 2010; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2

  8. " Row: NAICS Codes; Column: Electricity Components;"

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

    1.1 Electricity: Components of Net Demand, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Electricity Components;" " Unit: Million Kilowatthours." " "," " " "," ",,,"Total ","Sales and","Net Demand" "NAICS"," ",,"Transfers ","Onsite","Transfers","for" "Code(a)","Subsector and

  9. " Row: NAICS Codes; Column: Energy Sources;"

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

    6 Quantity of Purchased Energy Sources, 2002;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,"Coke" " "," ","

  10. " Row: NAICS Codes; Column: Energy Sources;"

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

    6 Quantity of Purchased Energy Sources, 2006;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural

  11. " Row: NAICS Codes; Column: Energy Sources;"

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

    6 Quantity of Purchased Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ",,"Residual","Distillate","Natural

  12. " Row: Employment Sizes within NAICS Codes;"

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

    3. Consumption Ratios of Fuel, 1998;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per

  13. " Row: Employment Sizes within NAICS Codes;"

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

    4 Consumption Ratios of Fuel, 2002;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar" " "," ","Consumption","per Dollar","of Value","RSE" "NAICS",,"per

  14. " Row: Employment Sizes within NAICS Codes;"

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

    4 Consumption Ratios of Fuel, 2006;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic

  15. " Row: Employment Sizes within NAICS Codes;"

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

    4 Consumption Ratios of Fuel, 2010;" " Level: National Data; " " Row: Employment Sizes within NAICS Codes;" " Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Economic

  16. " Row: NAICS Codes; Column: Energy Sources;"

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

    4 Number of Establishments by Offsite-Produced Fuel Consumption, 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," "," ",," " " "," ","Any",,,,,,,,,"RSE" "NAICS","

  17. " Row: NAICS Codes; Column: Energy Sources;"

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

    1 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Physical Units or Btu." " "," "," ",," "," "," "," "," "," "," " " "," ",,,,,,,,"Coke" " "," "," ","Net","Residual","Distillate","Natural

  18. " Row: NAICS Codes; Column: Energy Sources;"

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

    2 Fuel Consumption, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," ",," "," "," "," "," "," "," " " "," " "NAICS"," "," ","Net","Residual","Distillate",,"LPG and",,"Coke"," "

  19. " Row: Selected SIC Codes; Column: Energy Sources;"

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

    S5.1. Selected Byproducts in Fuel Consumption, 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," ","Waste"," ",," " " "," "," ","Blast"," "," ","Pulping Liquor","

  20. U.S. gasoline price decreases for 17th week in a row (short version)

    Gasoline and Diesel Fuel Update (EIA)

    gasoline price decreases for 17th week in a row (short version) The U.S. average retail price for regular gasoline fell for the 17th week in a row to $2.04 a gallon on Monday. That's down 2.2 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration.

  1. Self-organization of S adatoms on Au(111): ?3R30 rows at low coverage

    SciTech Connect (OSTI)

    Walen, Holly; Liu, Da -Jiang; Oh, Junepyo; Lim, Hyunseob; Evans, J. W.; Kim, Yousoo; Thiel, P. A.

    2015-07-06

    Using scanning tunneling microscopy, we observe an adlayer structure that is dominated by short rows of S atoms, on unreconstructed regions of a Au(111) surface. This structure forms upon adsorption of low S coverage (less than 0.1 monolayer) on a fully reconstructed cleansurface at 300 K, then cooling to 5 K for observation. The rows adopt one of three orientations that are rotated by 30 from the close-packed directions of the Au(111) substrate, and adjacent S atoms in the rows are separated by ?3 times the surface lattice constant, a. Monte Carlo simulations are performed on lattice-gas models, we derived using a limited cluster expansion based on density functional theory energetics. Furthermore, models which include long-range pairwise interactions (extending to 5a), plus selected trio interactions, successfully reproduce the linear rows of S atoms at reasonable temperatures.

  2. U.S. gasoline price decreases for 17th week in a row (long version)

    Gasoline and Diesel Fuel Update (EIA)

    26, 2015 U.S. gasoline price decreases for 17th week in a row (long version) The U.S. average retail price for regular gasoline fell for the 17th week in a row to $2.04 a gallon on Monday. That's down 2.2 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Pump prices were highest in the West Coast states at 2.33 a gallon, down 5.3 cents from a week ago. Prices were lowest in the Gulf Coast region at 1.85 a gallon, up 6-tenths of a penny

  3. Fact #777: April 29, 2013 For the Second Year in a Row, Survey Respondents

    Office of Environmental Management (EM)

    Consider Fuel Economy Most Important When Purchasing a Vehicle | Department of Energy 77: April 29, 2013 For the Second Year in a Row, Survey Respondents Consider Fuel Economy Most Important When Purchasing a Vehicle Fact #777: April 29, 2013 For the Second Year in a Row, Survey Respondents Consider Fuel Economy Most Important When Purchasing a Vehicle A 2012 survey asked the question "Which one of the following attributes would be MOST important to you in your choice of your next

  4. Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS)

    Energy Savers [EERE]

    DOE-STD-1047-2008 August 2008 DOE STANDARD Safety Functions and Other Features of Remotely Operated Weapon Systems (ROWS) U.S. Department of Energy AREA SAFT Washington, D.C. 20585 DISTRIBUTION STATEMENT A. Approved for public release; distribution is unlimited. NOT MEASUREMENT SENSITIVE DOE-STD-1047-2008 TABLE OF CONTENTS FOREWORD ....................................................................................................................... i 1. SCOPE AND PURPOSE

  5. Chicagoland Single-Family Housing Characterization

    SciTech Connect (OSTI)

    Spanier, J.; Scheu, R.; Brand, L.; Yang, J.

    2012-06-01

    In this report, the PARR team identifies housing characteristics and energy use for fifteen housing types in the Chicagoland (Cook County, Illinois) region and specifies measure packages that provide an optimum level of energy savings based on a BEopt analysis. The analysis is based on assessor data and actual energy consumption data on 432,605 houses representing approximately 30% of the population.

  6. Chicagoland Single-Family Housing Characterization

    SciTech Connect (OSTI)

    Spanier, J.; Scheu, R.; Brand, L.; Yang, J.

    2012-06-01

    In this report, the PARR team identifies housing characteristics and energy use for fifteen housing types (groups) in the Chicagoland (Cook County, Illinois) region and specifies measure packages that provide an optimum level of energy savings based on a BEopt analysis. The analysis is based on assessor data and actual energy consumption data on 432,605 houses representing approximately 30% of the population.

  7. Methodology and assumptions for evaluating heating and cooling energy requirements in new single-family residential buildings: Technical support document for the PEAR (Program for Energy Analysis of Residences) microcomputer program

    SciTech Connect (OSTI)

    Huang, Y.J.; Ritschard, R.; Bull, J.; Byrne, S.; Turiel, I.; Wilson, D.; Hsui, C.; Foley, D.

    1987-01-01

    This report provides technical documentation for a software package called PEAR (Program for Energy Analysis of Residences) developed by LBL. PEAR offers an easy-to-use and accurate method of estimating the energy savings associated with various energy conservation measures used in site-built, single-family homes. This program was designed for use by non-technical groups such as home builders, home buyers or others in the buildings industry, and developed as an integral part of a set of voluntary guidelines entitled Affordable Housing Through Energy Conservation: A Guide to Designing and Constructing Energy Efficient Homes. These guidelines provide a method for selecting and evaluating cost-effective energy conservation measures based on the energy savings estimated by PEAR. This work is part of a Department of Energy program aimed at conducting research that will improve the energy efficiency of the nation's stock of conventionally-built and manufactured homes, and presenting the results to the public in a simplified format.

  8. Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference;

    Gasoline and Diesel Fuel Update (EIA)

    6 Percent of Establishments by Levels of Price Difference that Would Cause Fuel Switching from Coal to a Less Expensive Substitute, 2010; Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference; Unit: Establishment Counts. Would Switch Would Not Estimate to More NAICS Establishments Switch Due 1 to 10 11 to 25 26 to 50 Over 50 Cannot Expensive Code(a) Subsector and Industry Able to Switch(b) to Price Percent Percent Percent Percent Be Provided Substitute Total United States

  9. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    Gasoline and Diesel Fuel Update (EIA)

    0 Reasons that Made Electricity Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Million kWh. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS Electricity Consumed Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry as a Fuel Electricity Fuel Use Another Fuel the Products

  10. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    Gasoline and Diesel Fuel Update (EIA)

    1 Reasons that Made Natural Gas Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Billion cubic feet. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS Natural Gas Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry Consumed as a FueNatural Gas Fuel Use Another Fuel the

  11. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    Gasoline and Diesel Fuel Update (EIA)

    2 Reasons that Made Coal Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Million short tons. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS Coal Consumed Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry as a Fuel Coal Fuel Use Another Fuel the Products Fuel

  12. Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable;

    Gasoline and Diesel Fuel Update (EIA)

    3 Reasons that Made LPG Unswitchable, 2006; Level: National Data; Row: NAICS Codes; Column: Reasons that Made Quantity Unswitchable; Unit: Million barrels. Total Amount of Total Amount of Equipment is Not Switching Unavailable Long-Term Unavailable Combinations of NAICS LPG Consumed Unswitchable Capable of Using Adversely Affects Alternative Environmenta Contract Storage for Another Columns F, G, Code(a) Subsector and Industry as a Fuel LPG Fuel Use Another Fuel the Products Fuel

  13. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

    Gasoline and Diesel Fuel Update (EIA)

    Nonswitchable Minimum and Maximum Consumption, 2010; Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential; Unit: Physical Units. Actual Minimum Maximum Energy Sources Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million kilowatthour 745,247 727,194 770,790 Natural Gas (billion cubic feet) 5,064 4,331 5,298 Distillate Fuel Oil (thousand barrels) 22 20 82 Residual Fuel Oil (thousand barrels) 13 9 46 Coal (thousand short

  14. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    2 Capability to Switch LPG to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Million Barrels. Coal Coke NAICS Total Not Electricity Natural Distillate Residual and Code(a) Selected Subsectors and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Fuel Oil Coal Breeze Other(e) Total United States 311 Food 1 * 1 * * * * 0 0 * 3112 Grain and Oilseed Milling * * * * * * * 0

  15. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Million Barrels. Coal Coke NAICS Total Not Electricity Natural Residual and Code(a) Selected Subsectors and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 4 * 3 * * * 0 * 0 * 3112 Grain and Oilseed Milling * * * * * * 0 *

  16. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

    Gasoline and Diesel Fuel Update (EIA)

    Table 7.1 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Physical Units. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources

  17. Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 7.2 Average Prices of Purchased Energy Sources, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping

  18. " Level: National Data;" " Row: NAICS Codes;"

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

    2 Reasons that Made Coal Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million short tons." ,,,,"Reasons that Made Coal Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable

  19. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Reasons that Made LPG Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million barrels." ,,,,"Reasons that Made LPG Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable

  20. " Level: National Data;" " Row: NAICS Codes;"

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

    4 Reasons that Made Distillate Fuel Oil Unswitchable, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Reasons that Made Quantity Unswitchable;" " Unit: Million barrels." ,,,,"Reasons that Made Distillate Fuel Oil Unswitchable" " "," ",,,,,,,,,,,,," " ,,"Total Amount of ","Total Amount of","Equipment is Not","Switching","Unavailable

  1. " Level: National Data;" " Row: NAICS Codes;"

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

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,,"RSE" "NAICS"," ","Total","

  2. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total","

  3. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Natural Gas(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total","

  4. " Level: National Data;" " Row: NAICS Codes;"

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

    5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Residual Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total","

  5. " Level: National Data;" " Row: NAICS Codes;"

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

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2002; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total","

  6. " Level: National Data;" " Row: NAICS Codes;"

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

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2002;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke",,"RSE" "NAICS"," ","Total","

  7. " Level: National Data;" " Row: NAICS Codes;"

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

    11 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total"," ","Not","Electricity","Natural","Distillate","Residual"

  8. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  9. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Natural Gas(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  10. " Level: National Data;" " Row: NAICS Codes;"

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

    5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  11. " Level: National Data;" " Row: NAICS Codes;"

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

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2006; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  12. " Level: National Data;" " Row: NAICS Codes;"

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

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  13. " Level: National Data;" " Row: NAICS Codes;"

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

    1 Number of Establishments with Capability to Switch Coal to Alternative Energy Sources, 2010;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Coal(b)",,,"Alternative Energy Sources(c)" "NAICS"," ","Total Establishments"," ","Not","Electricity","Natural","Distillate","Residual"

  14. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Number of Establishments with Capability to Switch LPG to Alternative Energy Sources, 2010;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"LPG(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total Establishments","

  15. " Row: Energy-Management Activities within NAICS Codes;"

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

    C9.1. Number of Establishments by Participation in Energy-Management Activity, 1998;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and General Amounts of Establishment-Paid Activity Cost;" " Unit: Establishment Counts." " "," "," ",,,,,," " " "," ",,,"General","Amount of

  16. " Row: Energy-Management Activities within NAICS Codes;"

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

    1 Number of Establishments by Participation in Energy-Management Activity, 2002;" " Level: National Data; " " Row: Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Financial Support for Activity;" " Unit: Establishment Counts." " "," "," ",,,,," " " "," ",,," Source of Financial Support for Activity",,,"RSE" "NAICS","

  17. " Row: General Energy-Management Activities within NAICS Codes;"

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

    1 Number of Establishments by Participation in General Energy-Management Activities, 2006;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Assistance;" " Unit: Establishment Counts." ,,,," Source of Assistance" "NAICS Code(a)","Energy-Management Activity","No

  18. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Establishment Counts." " "," "," ",," "," "," "," "," "," "," ",," " " "," ","Any" "NAICS","

  19. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." ,,"Any",,,,,,,,,"Shipments" "NAICS",,"Energy","Net","Residual","Distillate",,"LPG and",,"Coke and",,"of Energy Sources"

  20. " Row: Specific Energy-Management Activities within NAICS Codes;"

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

    4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006;" " Level: National Data; " " Row: Specific Energy-Management Activities within NAICS Codes;" " Column: Participation;" " Unit: Establishment Counts." "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","Don't Know","Not Applicable" ,,"Total United States" "

  1. " Level: National Data;" " Row: NAICS Codes;"

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

    3 Number of Establishments with Capability to Switch Natural Gas to Alternative Energy Sources, 2010;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Natural Gas(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total Establishments","

  2. " Level: National Data;" " Row: NAICS Codes;"

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

    0.5 Number of Establishments with Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2010;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,,"Residual Fuel Oil(b)",,,," Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total Establishments","

  3. " Level: National Data;" " Row: NAICS Codes;"

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

    7 Number of Establishments with Capability to Switch Electricity to Alternative Energy Sources, 2010; " " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Electricity Receipts(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total Establishments ","

  4. " Level: National Data;" " Row: NAICS Codes;"

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

    9 Number of Establishments with Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2010;" " Level: National Data;" " Row: NAICS Codes;" " Column: Energy Sources;" " Unit: Establishment Counts." ,,"Distillate Fuel Oil(b)",,,"Alternative Energy Sources(c)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total Establishments","

  5. " Row: Energy Sources;" " Column: Consumption Potential;"

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

    Nonswitchable Minimum and Maximum Consumption, 2010; " " Level: National and Regional Data;" " Row: Energy Sources;" " Column: Consumption Potential;" " Unit: Physical Units." ,"Actual","Minimum","Maximum" "Energy Sources","Consumption","Consumption(a)","Consumption(b)" ,"Total United States" "Electricity Receipts(c) (million kilowatthours)",745247,727194,770790

  6. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

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

    2 Capability to Switch Natural Gas to Alternative Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Billion Cubic Feet." ,,"Natural Gas",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  7. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

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

    4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2010;" " Level: National and Regional Data;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Million Barrels." ,,"Residual Fuel Oil",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  8. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

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

    6 Capability to Switch Electricity to Alternative Energy Sources, 2010; " " Level: National and Regional Data;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Million Kilowatthours." ,,"Electricity Receipts",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  9. " Row: NAICS Codes, Value of Shipments and Employment Sizes;"

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

    8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2010; " " Level: National and Regional Data;" " Row: NAICS Codes, Value of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: Million Barrels." ,,"Distillate Fuel Oil",,,"Alternative Energy Sources(b)" ,,,,,,,,,,"Coal Coke" "NAICS"," ","Total","

  10. " Row: General Energy-Management Activities within NAICS Codes;"

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

    1 Number of Establishments by Participation in General Energy-Management Activities, 2010;" " Level: National Data; " " Row: General Energy-Management Activities within NAICS Codes;" " Column: Participation and Source of Assistance;" " Unit: Establishment Counts." ,,,," Source of Assistance" "NAICS Code(a)","Energy-Management Activity","No

  11. Self-organization of S adatoms on Au(111): √3R30° rows at low coverage

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

    Walen, Holly; Liu, Da -Jiang; Oh, Junepyo; Lim, Hyunseob; Evans, J. W.; Kim, Yousoo; Thiel, P. A.

    2015-07-06

    Using scanning tunneling microscopy, we observe an adlayer structure that is dominated by short rows of S atoms, on unreconstructed regions of a Au(111) surface. This structure forms upon adsorption of low S coverage (less than 0.1 monolayer) on a fully reconstructed cleansurface at 300 K, then cooling to 5 K for observation. The rows adopt one of three orientations that are rotated by 30° from the close-packed directions of the Au(111) substrate, and adjacent S atoms in the rows are separated by √3 times the surface lattice constant, a. Monte Carlo simulations are performed on lattice-gas models, we derivedmore » using a limited cluster expansion based on density functional theory energetics. Furthermore, models which include long-range pairwise interactions (extending to 5a), plus selected trio interactions, successfully reproduce the linear rows of S atoms at reasonable temperatures.« less

  12. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    0 Capability to Switch Coal to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Thousand Short Tons. NAICS Total Not Electricity Natural Distillate Residual Code(a) Subsector and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Fuel Oil LPG Other(e) Total United States 311 Food 6,603 1,013 5,373 27 981 303 93 271 86 3112 Grain and Oilseed Milling 5,099 658 4,323

  13. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    2 Capability to Switch LPG to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Thousand Barrels. Coal Coke NAICS Total Not Electricity Natural Distillate Residual and Code(a) Subsector and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Fuel Oil Coal Breeze Other(e) Total United States 311 Food 850 159 549 Q 86 8 * 0 0 Q 3112 Grain and Oilseed Milling Q 2 Q 1 Q

  14. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    2 Capability to Switch Natural Gas to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Billion Cubic Feet. Coal Coke NAICS Total Not Electricity Distillate Residual and Code(a) Subsector and Industry Consumed(c) Switchable Switchable Receipts(d) Fuel Oil Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 618 165 379 8 109 12 1 38 0 10 3112 Grain and Oilseed Milling 115

  15. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Thousand Barrels. Coal Coke NAICS Total Not Electricity Natural Distillate and Code(a) Subsector and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 4,124 2,134 454 0 1,896 284 0 Q 0 Q 3112 Grain and Oilseed Milling

  16. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    6 Capability to Switch Electricity to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Million Kilowatthours. Coal Coke NAICS Total Not Natural Distillate Residual and Code(a) Subsector and Industry Receipts(c) Switchable Switchable Gas Fuel Oil Fuel Oil Coal LPG Breeze Other(d) Total United States 311 Food 73,551 1,887 55,824 711 823 0 111 45 0 205 3112 Grain and Oilseed Milling

  17. Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    8 Capability to Switch Distillate Fuel Oil to Alternative Energy Sources, 2006; Level: National Data and Regional Totals; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Thousand Barrels. Coal Coke NAICS Total Not Electricity Natural Residual and Code(a) Subsector and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 2,723 127 2,141 4 111 * 0 5 0 7 3112 Grain and Oilseed Milling 153 6

  18. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    1 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS Total Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Other(f) Code(a) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States

  19. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    2 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Residual and LPG and (excluding Coal Code(a) End Use Total Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Other(f) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fuel --

  20. Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    4.4 Number of Establishments by Offsite-Produced Fuel Consumption, 2006; Level: National Data; Row: NAICS Codes (3-Digit Only); Column: Energy Sources Unit: Establishment Counts. Any NAICS Energy Residual Distillate LPG and Coke Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal and Breeze Other(g) Total United States 311 Food 14,128 14,109 326 1,462 11,395 2,920 67 13 1,149 3112 Grain and Oilseed Milling 580 580 15 174 445 269 35 0 144 311221

  1. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments

    Gasoline and Diesel Fuel Update (EIA)

    1.4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 14,128 14,113 326 1,475 11,399 2,947 67 15

  2. Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

    Gasoline and Diesel Fuel Update (EIA)

    .4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2010; Level: National Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit: Establishment Counts. Any Shipments NAICS Energy Net Residual Distillate LPG and Coke and of Energy Sources Code(a) Subsector and Industry Source(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States 311 Food 13,269 13,265 151 2,494 10,376 4,061 64 7

  3. Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be fielded in 2015 Table 10.17 Percent of Establishments by Levels of Price Difference that Would Cause Fuel Switching from LPG to a Less Expensive Substitute, 2010; Level: National Data; Row: NAICS Codes; Column: Levels of Price Difference; Unit: Establishment Counts. Would Switch Would Not Estimate to More NAICS Establishments Switch Due 1 to 10 11 to 25 26 to 50 Over 50 Cannot Expensive Code(a) Subsector and Industry Able to Switch(b) to Price Percent Percent Percent Percent

  4. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

    Gasoline and Diesel Fuel Update (EIA)

    3 Number of Establishments by Usage of Cogeneration Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Subsector and Industry Establishments(b) in Use(c) In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know In Use(d) Not in Use Don't Know Total United States 311 Food 14,128 297

  5. Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies;

    Gasoline and Diesel Fuel Update (EIA)

    3 Number of Establishments by Usage of Cogeneration Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within Cogeneration Technologies; Unit: Establishment Counts. Establishments with Any Cogeneration NAICS Technology Code(a) Selected Subsectors and Industry Establishments(b) in Use(c) In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know In Use(d) Not in Use(e) Don't Know Total United

  6. Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2006; Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes; Column: Participation; Unit: Establishment Counts. NAICS Code(a) Energy-Management Activity No Participation Participation(b) Don't Know Not Applicable Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Full-Time Energy Manager (c) 159,258 9,922 25,553 -- Set Goals for

  7. Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be fielded in 2015 Table 8.4 Number of Establishments by Participation in Specific Energy-Management Activities, 2010; Level: National Data; Row: Specific Energy-Management Activities within NAICS Codes; Column: Participation; Unit: Establishment Counts. NAICS Code(a) Energy-Management Activity No Participation Participation(b) Don't Know No Steam Used Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES Full-Time Energy Manager (c) 142,267 12,536 15,365 -- Set Goals for

  8. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21

  9. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547

  10. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION

  11. Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17

  12. Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential;

    Gasoline and Diesel Fuel Update (EIA)

    Table 10.1 Nonswitchable Minimum and Maximum Consumption, 2006; Level: National and Regional Data; Row: Energy Sources; Column: Consumption Potential; Unit: Physical Units. Actual Minimum Maximum Energy Sources Consumption Consumption(a) Consumption(b) Total United States Electricity Receipts(c) (million kilowatthour 854,102 826,077 889,281 Natural Gas (billion cubic feet) 5,357 4,442 5,649 Distillate Fuel Oil (thousand barrels) 22,139 19,251 101,340 Residual Fuel Oil (thousand barrels) 39,925

  13. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    0 Capability to Switch Coal to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Million Short Tons. NAICS Total Not Electricity Natural Distillate Residual Code(a) Selected Subsectors and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Fuel Oil LPG Other(e) Total United States 311 Food 8 2 7 * 1 * * * * 3112 Grain and Oilseed Milling 6 1 4 0 1 * 0 * * 311221 Wet Corn

  14. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    2 Capability to Switch Natural Gas to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Billion Cubic Feet. Coal Coke NAICS Total Not Electricity Distillate Residual and Code(a) Selected Subsectors and Industry Consumed(c) Switchable Switchable Receipts(d) Fuel Oil Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 563 139 416 12 72 26 4 35 * 13 3112 Grain and Oilseed Milling

  15. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    4 Capability to Switch Residual Fuel Oil to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Million Barrels. Coal Coke NAICS Total Not Electricity Natural Distillate and Code(a) Selected Subsectors and Industry Consumed(c) Switchable Switchable Receipts(d) Gas Fuel Oil Coal LPG Breeze Other(e) Total United States 311 Food 2 1 1 * 1 * 0 0 0 * 3112 Grain and Oilseed Milling * * * 0 * * 0 0

  16. Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    6 Capability to Switch Electricity to Alternative Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes, Value of Shipments and Employment Sizes; Column: Energy Sources; Unit: Million Kilowatthours. Coal Coke NAICS Total Not Natural Distillate Residual and Code(a) Selected Subsectors and Industry Receipts(c) Switchable Switchable Gas Fuel Oil Fuel Oil Coal LPG Breeze Other(d) Total United States 311 Food 75,673 2,403 70,987 666 1,658 Q 406 Q Q 141 3112 Grain and Oilseed

  17. Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;

    Gasoline and Diesel Fuel Update (EIA)

    1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing

  18. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 6.1 Consumption Ratios of Fuel, 2006 Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 879.8 5.0 2.2 3112 Grain and Oilseed Milling 6,416.6 17.5 5.7 311221 Wet Corn Milling 21,552.1 43.6

  19. Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be fielded in 2015 Table 6.1 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value NAICS per Employee of Value Added of Shipments Code(a) Subsector and Industry (million Btu) (thousand Btu) (thousand Btu) Total United States 311 Food 871.7 4.3 1.8 3112 Grain and Oilseed Milling 6,239.5 10.5 3.6 311221 Wet Corn Milling 28,965.0 27.1

  20. Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components;

    Gasoline and Diesel Fuel Update (EIA)

    3 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood NAICS Total Onsite and Code(a) Subsector and Industry Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States 311 Food 4,563 4,249 * 313 3112 Grain and Oilseed Milling 2,845 2,819 0 27 311221 Wet Corn Milling 2,396 2,370 0 27 31131 Sugar Manufacturing 951 951 0 * 3114 Fruit

  1. Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 11.5 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of NAICS Sales and Utility Nonutility Code(a) Subsector and Industry Transfers Offsite Purchaser(b) Purchaser(c) Total United States 311 Food 111 86 25 3112 Grain and Oilseed Milling 72 51 21 311221 Wet Corn Milling 55 42 13 31131 Sugar Manufacturing 7 3 4

  2. Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources

    Gasoline and Diesel Fuel Update (EIA)

    August 2009 Next MECS will be conducted in 2010 Table 3.6 Selected Wood and Wood-Related Products in Fuel Consumption, 2006 Level: National and Regional Data; Row: Selected NAICS Codes; Column: Energy Sources Unit: Trillion Btu. Wood Residues and Wood-Related Pulping Liquor Wood Byproducts and NAICS or Biomass Agricultural Harvested Directly from Mill Paper-Related Code(a) Subsector and Industry Black Liquor Total(b) Waste(c) from Trees(d) Processing(e) Refuse(f) Total United States 311 Food 0

  3. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes

    Gasoline and Diesel Fuel Update (EIA)

    1.3 First Use of Energy for All Purposes (Fuel and Nonfuel), 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources and Shipments; Unit: Trillion Btu. Shipments Economic Net Residual Distillate LPG and Coke and of Energy Sources Characteristic(a) Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Natural Gas(e) NGL(f) Coal Breeze Other(g) Produced Onsite(h) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,166 367 23

  4. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes

    Gasoline and Diesel Fuel Update (EIA)

    2.3 Nonfuel (Feedstock) Use of Combustible Energy, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes Column: Energy Sources Unit: Trillion Btu Economic Residual Distillate LPG and Coke and Characteristic(a) Total Fuel Oil Fuel Oil(b) Natural Gas(c) NGL(d) Coal Breeze Other(e) Total United States Value of Shipments and Receipts (million dollars) Under 20 47 0 3 5 Q 20 1 17 20-49 112 7 Q 20 1 12 1 64 50-99 247 29 Q 26 88 33 * 68 100-249 313 28 1 97 12 48 43 85

  5. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    2 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Electricity Components; Unit: Million Kilowatthours. Sales and Net Demand Economic Total Onsite Transfers for Characteristic(a) Purchases Transfers In(b) Generation(c) Offsite Electricity(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 107,618 56 1,447 28 109,094 20-49 97,570 181 5,220 307 102,664 50-99 104,082 Q 3,784 2,218

  6. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    4 Electricity: Components of Onsite Generation, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Onsite-Generation Components; Unit: Million Kilowatthours. Renewable Energy (excluding Wood Economic Total Onsite and Characteristic(a) Generation Cogeneration(b) Other Biomass)(c) Other(d) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,447 450 Q Q 20-49 5,220 5,106 29 Q 50-99 3,784 3,579 29 Q 100-249 17,821 17,115 484

  7. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    6 Electricity: Sales to Utility and Nonutility Purchasers, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Utility and Nonutility Purchasers; Unit: Million Kilowatthours. Total of Economic Sales and Utility Nonutility Characteristic(a) Transfers Offsite Purchaser(b) Purchaser(c) Total United States Value of Shipments and Receipts (million dollars) Under 20 28 28 0 20-49 307 227 80 50-99 2,218 1,673 545 100-249 2,647 1,437 1,210 250-499 3,736 2,271

  8. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    3.3 Fuel Consumption, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Net Residual Distillate LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Natural Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,139 367 23 45 535 14 21 3 131 20-49 1,122 333 13 19 530 8 93 5 122 50-99 1,309 349 22 17 549 10 157 8 197

  9. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    4.3 Offsite-Produced Fuel Consumption, 2006; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy Sources; Unit: Trillion Btu. Economic Residual Distillate Natural LPG and Coke and Characteristic(a) Total Electricity(b) Fuel Oil Fuel Oil(c) Gas(d) NGL(e) Coal Breeze Other(f) Total United States Value of Shipments and Receipts (million dollars) Under 20 1,066 367 23 45 535 13 21 3 59 20-49 1,063 334 13 18 530 8 93 5 63 50-99 1,233 357 22 16 549 10 157 8

  10. Level: National and Regional Data; Row: Values of Shipments and Employment Sizes;

    Gasoline and Diesel Fuel Update (EIA)

    2 Consumption Ratios of Fuel, 2010; Level: National and Regional Data; Row: Values of Shipments and Employment Sizes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value Economic per Employee of Value Added of Shipments Characteristic(a) (million Btu) (thousand Btu) (thousand Btu) Total United States Value of Shipments and Receipts (million dollars) Under 20 405.4 4.0 2.1 20-49 631.3 4.7 2.2 50-99 832.0 4.9 2.3 100-249 1,313.4 6.2

  11. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    2. Nonfuel (Feedstock) Use of Combustible Energy, 1998;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ",,,,,,,,,"RSE" "NAICS"," ","

  12. " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;"

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

    4 Number of Establishments by Nonfuel (Feedstock) Use of Combustible Energy, 2002;" " Level: National Data; " " Row: NAICS Codes (3-Digit Only); Column: Energy Sources;" " Unit: Establishment Counts." " "," ","Any "," "," "," "," "," "," "," "," ",," " " "," ","Combustible",,,,,,,,"RSE"

  13. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    .1. Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ","Any",," "," ",,"

  14. " Row: NAICS Codes; Column: Energy Sources and Shipments;"

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

    4 Number of Establishments by First Use of Energy for All Purposes (Fuel and Nonfuel), 2002;" " Level: National Data; " " Row: NAICS Codes; Column: Energy Sources and Shipments;" " Unit: Establishment Counts." " "," "," "," "," "," "," "," "," "," "," ",," " " "," ","Any",," "," ",,"

  15. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    N7.1. Consumption Ratios of Fuel, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per

  16. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    1 Consumption Ratios of Fuel, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." " "," ",,,"Consumption"," " " "," ",,"Consumption","per Dollar"," " " "," ","Consumption","per Dollar","of Value","RSE" "NAICS"," ","per

  17. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    1 Consumption Ratios of Fuel, 2006;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments" "Code(a)","Subsector and Industry","(million

  18. " Row: NAICS Codes; Column: Energy-Consumption Ratios;"

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

    " "Next MECS will be fielded in 2015" "Table 6.1 Consumption Ratios of Fuel, 2010;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: Energy-Consumption Ratios;" " Unit: Varies." ,,,,"Consumption" ,,,"Consumption","per Dollar" ,,"Consumption","per Dollar","of Value" "NAICS",,"per Employee","of Value Added","of Shipments"

  19. " Row: Selected SIC Codes; Column: Energy Sources and Shipments;"

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

    2. First Use of Energy for All Purposes (Fuel and Nonfuel), 1998;" " Level: National Data; " " Row: Selected SIC Codes; Column: Energy Sources and Shipments;" " Unit: Trillion Btu." " "," "," "," "," "," "," "," "," "," "," ",," " " "," "," ",," "," ",," "," ",,"

  20. " Row: Specific Energy-Management Activities within NAICS Codes;"

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

    4 Number of Establishments by Participation in Specific Energy-Management Activities, 2010;" " Level: National Data; " " Row: Specific Energy-Management Activities within NAICS Codes;" " Column: Participation;" " Unit: Establishment Counts." "NAICS Code(a)","Energy-Management Activity","No Participation","Participation(b)","Don't Know","No Steam Used" ,,"Total United States" "

  1. U.S. diesel fuel price decreases for the second week in a row

    Gasoline and Diesel Fuel Update (EIA)

    diesel fuel price decreases for the second week in a row The U.S. average retail price for on-highway diesel fuel fell to $2.86 a gallon on Monday. That's down 5.3 cents from a week ago, based on the weekly price survey by the U.S. Energy Information Administration. Diesel prices were highest in the Central Atlantic region at 3.23 a gallon, down 8 cents from a week ago. Prices were lowest in the Gulf Coast states at 2.72 a gallon, down 4.8 cents.

  2. Data Sharing Report Characterization of Isotope Row Facilities Oak Ridge National Laboratory Oak Ridge TN

    SciTech Connect (OSTI)

    Weaver, Phyllis C

    2013-12-12

    The U.S. Department of Energy (DOE) Oak Ridge Office of Environmental Management (EM-OR) requested that Oak Ridge Associated Universities (ORAU), working under the Oak Ridge Institute for Science and Education (ORISE) contract, provide technical and independent waste management planning support using funds provided by the American Recovery and Reinvestment Act (ARRA). Specifically, DOE EM-OR requested ORAU to plan and implement a survey approach, focused on characterizing the Isotope Row Facilities located at the Oak Ridge National Laboratory (ORNL) for future determination of an appropriate disposition pathway for building debris and systems, should the buildings be demolished. The characterization effort was designed to identify and quantify radiological and chemical contamination associated with building structures and process systems. The Isotope Row Facilities discussed in this report include Bldgs. 3030, 3031, 3032, 3033, 3033A, 3034, 3036, 3093, and 3118, and are located in the northeast quadrant of the main ORNL campus area, between Hillside and Central Avenues. Construction of the isotope production facilities was initiated in the late 1940s, with the exception of Bldgs. 3033A and 3118, which were enclosed in the early 1960s. The Isotope Row facilities were intended for the purpose of light industrial use for the processing, assemblage, and storage of radionuclides used for a variety of applications (ORNL 1952 and ORAU 2013). The Isotope Row Facilities provided laboratory and support services as part of the Isotopes Production and Distribution Program until 1989 when DOE mandated their shutdown (ORNL 1990). These facilities performed diverse research and developmental experiments in support of isotopes production. As a result of the many years of operations, various projects, and final cessation of operations, production was followed by inclusion into the surveillance and maintenance (S&M) project for eventual decontamination and decommissioning (D&D). The process for D&D and final dismantlement of facilities requires that the known contaminants of concern (COCs) be evaluated and quantified and to identify and quantify any additional contaminants in order to satisfy the waste acceptance criteria requirements for the desired disposal pathway. Known facility contaminants include, but are not limited to, asbestos-containing material (ACM), radiological contaminants, and chemical contaminants including polychlorinated biphenyls (PCBs) and metals.

  3. Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;

    Gasoline and Diesel Fuel Update (EIA)

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Subsector and Industry Establishments(b) In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know In Use(e) Not in Use Don't Know Total United States 311 Food 14,128 1,632 9,940 2,556 3,509 8,048 2,571 1,590

  4. Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies;

    Gasoline and Diesel Fuel Update (EIA)

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2010; Level: National Data; Row: NAICS Codes; Column: Usage within General Energy-Saving Technologies; Unit: Establishment Counts. NAICS Code(a) Selected Subsectors and Industry Establishments(b) In Use(e) Not in Use(f) Don't Know In Use(e) Not in Use(f) Don't Know In Use(e) Not in Use(f) Don't Know In Use(e) Not in Use(f) Don't Know In Use(e) Not in Use(f) Don't Know Total United States 311 Food 13,271 1,849 10,454 968

  5. Health hazard evaluation report HETA 96-0137-2607, Yankee Atomic Electric Company, Rowe, Massachusetts

    SciTech Connect (OSTI)

    Sylvain, D.C.

    1996-10-01

    In response to a request from the Health and Safety Supervisor at the Yankee Nuclear Power Station (SIC-4911), Rowe, Massachusetts, an investigation was begun into ozone (10028156) exposure during plasma arc cutting and welding. Welders had reported chest tightness, dry cough, and throat and bronchial irritation. The nuclear power station was in the process of being decommissioned, and workers were dismantling components using welding and cutting methods. Of the operations observed during the site visit, the highest ozone concentrations were generated during plasma arc cutting, followed by metal inert gas (MIG) welding and arc welding. During plasma arc cutting the average and peak concentrations exceeded the NIOSH ceiling recommended exposure limit of 0.1 part per million. The author concludes that ozone exposure during plasma arc cutting and MIG welding presented a health hazard to welders. The author recommends that improvements be made in the local exhaust ventilation, that nitrogen-dioxide levels be monitored during hot work, and that many exposed workers wear protective clothing, use ultraviolet blocking lotion, and continue the use appropriate shade of eye protection.

  6. First principles investigation of the initial stage of H-induced missing-row reconstruction of Pd(110) surface

    SciTech Connect (OSTI)

    Padama, Allan Abraham B. [Department of Applied Physics, Osaka University, Suita, Osaka 565-0871 (Japan); Kasai, Hideaki, E-mail: kasai@dyn.ap.eng.osaka-u.ac.jp [Department of Applied Physics, Osaka University, Suita, Osaka 565-0871 (Japan); Center for Atomic and Molecular Technologies, Osaka University, Suita, Osaka 565-0871 (Japan)

    2014-06-28

    The pathway of H diffusion that will induce the migration of Pd atom is investigated by employing first principles calculations based on density functional theory to explain the origin of missing-row reconstruction of Pd(110).The calculated activation barrier and the H-induced reconstruction energy reveal that the long bridge-to-tetrahedral configuration is the energetically favored process for the initial stage of reconstruction phenomenon. While the H diffusion triggers the migration of Pd atom, it is the latter process that significantly contributes to the activated missing-row reconstruction of Pd(110). Nonetheless, the strong interaction between the diffusing H and the Pd atoms dictates the occurrence of reconstructed surface.

  7. Study of Row Phase Dependent Skew Quadrupole Fields in Apple-II Type EPUs at the ALS

    SciTech Connect (OSTI)

    Steier, C.; Marks, S.; Prestemon, Soren; Robin, David; Schlueter, Ross; Wolski, Andrzej

    2004-05-07

    Since about 5 years, Apple-II type Elliptically Polarizing Undulators (EPU) have been used very successfully at the ALS to generate high brightness photon beams with arbitrary polarization. However, both EPUs installed so far cause significant changes of the vertical beamsize, especially when the row phase is changed to change the polarization of the photons emitted. Detailed measurements indicate this is caused by a row phase dependent skew quadrupole term in the EPUs. Magnetic measurements revealed the same effect for the third EPU to be installed later this year. All measurements to identify and quantify the effect with beam will be presented, as well as some results of magnetic bench measurements and numeric field simulations.

  8. Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching

    DOE Patents [OSTI]

    He, Jianliang (Naperville, IL); Rote, Donald M. (Lagrange, IL)

    1996-01-01

    A stabilization and propulsion system comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the super conducting magnets on the vehicle.

  9. Double row loop-coil configuration for high-speed electrodynamic maglev suspension, guidance, propulsion and guideway directional switching

    DOE Patents [OSTI]

    He, J.; Rote, D.M.

    1996-05-21

    A stabilization and propulsion system are disclosed comprising a series of loop-coils arranged in parallel rows wherein two rows combine to form one of two magnetic rails. Levitation and lateral stability are provided when the induced field in the magnetic rails interacts with the superconducting magnets mounted on the magnetic levitation vehicle. The loop-coils forming the magnetic rails have specified dimensions and a specified number of turns and by constructing differently these specifications, for one rail with respect to the other, the angle of tilt of the vehicle can be controlled during directional switching. Propulsion is provided by the interaction of a traveling magnetic wave associated with the coils forming the rails and the superconducting magnets on the vehicle. 12 figs.

  10. " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"

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

    1.3. Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components"

  11. " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"

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

    8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components"

  12. " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;"

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

    8 Number of Establishments by Quantity of Purchased Electricity, Natural Gas, and Steam, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: Establishment Counts." ,,,"Electricity","Components",,,"Natural","Gas","Components",,"Steam","Components"

  13. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

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

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2002;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," ",,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed

  14. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

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

    2 Number of Establishments by Usage of General Energy-Saving Technologies, 2006;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." ,,,"Computer Control of Building Wide Evironment(c)",,,"Computer Control of Processes or Major Energy-Using Equipment(d)",,,"Waste Heat Recovery",,,"Adjustable - Speed Motors",,,"Oxy - Fuel

  15. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    Next MECS will be conducted in 2010 Table 5.3 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(d) LPG and Coke and Breeze) NAICS for Electricity(b) Fuel Oil Diesel Fuel(c) (billion NGL(e) (million Code(a) End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons)

  16. Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity;

    Gasoline and Diesel Fuel Update (EIA)

    4 End Uses of Fuel Consumption, 2006; Level: National Data; Row: End Uses within NAICS Codes; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal NAICS Net Demand Residual and LPG and (excluding Coal Code(a) End Use for Electricity(b) Fuel Oil Diesel Fuel(c) Natural Gas(d) NGL(e) Coke and Breeze) Total United States 311 - 339 ALL MANUFACTURING INDUSTRIES TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23

  17. " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;"

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

    1. Number of Establishments by Usage of General Energy-Saving Technologies, 1998;" " Level: National Data; " " Row: NAICS Codes;" " Column: Usage within General Energy-Saving Technologies;" " Unit: Establishment Counts." " "," "," ",,,"Computer","Control of","Processes"," "," "," ",,,," ",," " " "," ","Computer

  18. HIA 2015 DOE Zero Energy Ready Home Case Study: New Town Builders, Town Homes at Perrin's Row, Wheat Ridge, CO

    Energy Savers [EERE]

    Town Homes at Perrin's Row Wheat Ridge, CO DOE ZERO ENERGY READY HOME(tm) The U.S. Department of Energy invites home builders across the country to meet the extraordinary levels of excellence and quality specified in DOE's Zero Energy Ready Home program (formerly known as Challenge Home). Every DOE Zero Energy Ready Home starts with ENERGY STAR Certified Homes Version 3.0 for an energy-efficient home built on a solid foundation of building science research. Advanced technologies are designed in

  19. Delivering Energy Efficiency to Middle Income Single Family Households

    SciTech Connect (OSTI)

    none,

    2011-12-01

    Provides state and local policymakers with information on successful approaches to the design and implementation of residential efficiency programs for households ineligible for low-income programs.

  20. Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;

    Gasoline and Diesel Fuel Update (EIA)

    Coke and Shipments Net Residual Distillate Natural LPG and Coal Breeze of Energy Sources NAICS Total(b) Electricity(c) Fuel Oil Fuel Oil(d) Gas(e) NGL(f) (million (million Other(g) Produced Onsite(h) Code(a) Subsector and Industry (trillion Btu) (million kWh) (million bbl) (million bbl) (billion cu ft) (million bbl) short tons) short tons) (trillion Btu) (trillion Btu) Total United States RSE Column Factors: 0.9 1 1.2 1.8 1 1.6 0.8 0.9 1.2 0.4 311 Food 1,123 67,521 2 3 567 1 8 * 89 0 311221 Wet

  1. U.S. gasoline prices decreases for 16th week in a row; breaking previous record set in 2008 (short version)

    Gasoline and Diesel Fuel Update (EIA)

    gasoline prices decreases for 16th week in a row; breaking previous record set in 2008 (short version) The U.S. average retail price for regular gasoline fell 7.3 cents from a week ago to $2.07 a gallon on Monday. This marks a record of 16 consecutive weeks of price drops and breaks the previous record set at the end of 2008, based on the weekly price survey by the U.S. Energy Information Administration.

  2. " Row: End Uses;"

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

    HVAC (e)",280,3,5,417,5,5,6.6 " Facility Lighting",212,"--","--","--","--","--",1.1 " ... HVAC (e)",41,2,3,68,1,"*",6.4 " Facility Lighting",33,"--","--","--","--","--",1.3 " Other ...

  3. " Row: End Uses;"

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

    HVAC (f)",285,4,4,378,5,2 " Facility Lighting",215,"--","--","--","--","--" " Other ... HVAC (f)",38,3,3,57,1,"*" " Facility Lighting",29,"--","--","--","--","--" " Other ...

  4. " Row: End Uses;"

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

    HVAC (f)",236,"Q",4,306,4,3 " Facility Lighting",177,"--","--","--","--","--" " Other ... HVAC (f)",29,"Q",3,45,1,"Q" " Facility Lighting",22,"--","--","--","--","--" " Other ...

  5. " Row: End Uses;" " ...

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

    ...,79355,1,1,392,1,"*","--",5.7 " Facility Lighting","--",61966,"--","--","--","--","--","--...707,"*",1,57,"*","*","--",7.2 " Facility Lighting","--",9494,"--","--","--","--","--","--"...

  6. " Row: End Uses;" " ...

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

    ..."--",271,4,6,403,4,4,"--",5.7 " Facility Lighting","--",211,"--","--","--","--","--","--",... *","--",7.2 " Facility Lighting","--",32,"--","--","--","--","--","--",1...

  7. " Row: End Uses;"

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

    HVAC (f)",83480,1,1,367,1,"*" " Facility Lighting",62902,"--","--","--","--","--" " Other ... (f)",11142,"*","*",56,"*","*" " Facility Lighting",8470,"--","--","--","--","--" " Other ...

  8. " Row: End Uses;" " ...

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

    ...f)","--",265,4,4,378,5,2,"--" " Facility Lighting","--",198,"--","--","--","--","--","--" ...f)","--",34,3,3,57,1,"*","--" " Facility Lighting","--",26,"--","--","--","--","--","--" " ...

  9. " Row: End Uses;" " ...

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

    ..."--",77768,1,1,367,1,"*","--" " Facility Lighting","--",58013,"--","--","--","--","--","--...,9988,"*","*",56,"*","*","--" " Facility Lighting","--",7651,"--","--","--","--","--","--" ...

  10. " Row: End Uses;" " ...

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

    ...","--",222,"Q",4,306,4,3,"--" " Facility Lighting","--",165,"--","--","--","--","--","--" ...","--",26,"Q",3,45,1,"Q","--" " Facility Lighting","--",20,"--","--","--","--","--","--" " ...

  11. " Row: End Uses;"

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

    (f)",69090,"*",1,297,1,"*" " Facility Lighting",51946,"--","--","--","--","--" " Other ... (f)",8543,"*",1,43,"*","*" " Facility Lighting",6524,"--","--","--","--","--" " Other ...

  12. " Row: End Uses;"

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

    (e)",81980,1,1,406,1,"*",6.6 " Facility Lighting",62019,"--","--","--","--","--",1.1 " ...)",12126,"*",1,66,"*","*",6.4 " Facility Lighting",9668,"--","--","--","--","--",1.3 " ...

  13. " Row: End Uses;" " ...

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

    ..."--",262,3,5,417,5,5,"--",6.6 " Facility Lighting","--",196,"--","--","--","--","--","--",..."--",38,2,3,68,1,"*","--",6.4 " Facility Lighting","--",30,"--","--","--","--","--","--",1...

  14. " Row: End Uses;" " ...

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

    ...,76840,1,1,406,1,"*","--",6.6 " Facility Lighting","--",57460,"--","--","--","--","--","--...241,"*",1,66,"*","*","--",6.4 " Facility Lighting","--",8831,"--","--","--","--","--","--"...

  15. " Row: End Uses;"

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  16. " Row: End Uses;" " ...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  17. " Row: NAICS Codes;" " Column...

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

    and Industry","Establishments(b)","In Use(e)","Not in Use(f)","Don't Know","In Use(e)","Not in Use(f)","Don't Know","In Use(e)","Not in Use(f)","Don't Know","In ...

  18. U.S. gasoline prices decreases for 16th week in a row; breaking previous record set in 2008 (long version)

    Gasoline and Diesel Fuel Update (EIA)

    18, 2015 U.S. gasoline prices decreases for 16th week in a row; breaking previous record set in 2008 (long version) The U.S. average retail price for regular gasoline fell 7.3 cents from a week ago to $2.07 a gallon on Monday. This marks a record of 16 consecutive weeks of price drops and breaks the previous record set at the end of 2008, based on the weekly price survey by the U.S. Energy Information Administration. Pump prices were highest in the West Coast states at 2.38 a gallon, down 10.8

  19. Table HC1-5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit,

    Gasoline and Diesel Fuel Update (EIA)

    5a. Housing Unit Characteristics by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Housing Unit Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Homes Two to Four Units Five or More Units 0.4 0.4 1.8 2.1 1.4 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Census Region and Division Northeast ......................................

  20. Table HC7-5a. Home Office Equipment by Type of Owner-Occupied Housing Unit,

    Gasoline and Diesel Fuel Update (EIA)

    5a. Home Office Equipment by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.3 2.1 3.0 1.6 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Households Using Office Equipment .......................... 67.5 59.0 2.0 1.7 4.8 7.0

  1. Table HC7-6a. Home Office Equipment by Type of Rented Housing Unit,

    Gasoline and Diesel Fuel Update (EIA)

    6a. Home Office Equipment by Type of Rented Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.0 0.9 3.0 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Households Using Office Equipment .......................... 28.7 9.2 6.5 12.1 0.9 7.5 Personal Computers 1

  2. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Air Conditioning by Type of Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.6 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 82.9 58.7 6.5 12.4 5.3 4.9 Air Conditioners Not Used ............ 2.1 1.1 Q 0.6 Q 21.8 Households Using Electric Air-Conditioning 1

  3. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    4a. Appliances by Type of Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.6 1.9 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.2 Kitchen Appliances Cooking Appliances Oven ........................................... 101.7 69.1 9.4 16.7 6.6 4.3 1

  4. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    5a. Appliances by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.3 0.4 2.1 3.1 1.3 Total ............................................... 72.7 63.2 2.1 1.8 5.7 6.7 Kitchen Appliances Cooking Appliances Oven ...........................................

  5. appl_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    6a. Appliances by Type of Rented Housing Unit, Million U.S. Households, 2001 Appliance Types and Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Kitchen Appliances Cooking Appliances Oven ........................................... 33.4 10.1 7.3 14.9 1.1

  6. spaceheat_household2001.pdf

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

    6a. Space Heating by Type of Rented Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.8 1.1 0.9 2.5 Total ............................................... 34.3 10.5 7.4 15.2 1.1 6.9 Heat Home ..................................... 33.7 10.4 7.4 14.8 1.1 6.9 Do Not Heat Home

  7. untitled

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

    4a. Home Office Equipment by Type of Housing Unit, Million U.S. Households, 2001 Home Office Equipment RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.4 0.5 1.7 1.5 2.2 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.1 Households Using Office Equipment .......................... 96.2 68.2 8.5 13.8 5.8 4.5 Personal Computers 1 ................... 60.0 46.4

  8. Assessment of G3(MP2)//B3 theory including a pseudopotential for molecules containing first-, second-, and third-row representative elements

    SciTech Connect (OSTI)

    Rocha, Carlos Murilo Romero; Morgon, Nelson Henrique; Custodio, Rogrio; Pereira, Douglas Henrique; Departamento de Cincias Exatas e Biotecnolgicas, Universidade Federal do Tocantins, Campus de Gurupi, 77410-530 Gurupi, Tocantins

    2013-11-14

    G3(MP2)//B3 theory was modified to incorporate compact effective potential (CEP) pseudopotentials, providing a theoretical alternative referred to as G3(MP2)//B3-CEP for calculations involving first-, second-, and third-row representative elements. The G3/05 test set was used as a standard to evaluate the accuracy of the calculated properties. G3(MP2)//B3-CEP theory was applied to the study of 247 standard enthalpies of formation, 104 ionization energies, 63 electron affinities, 10 proton affinities, and 22 atomization energies, comprising 446 experimental energies. The mean absolute deviations compared with the experimental data for all thermochemical results presented an accuracy of 1.4 kcal mol{sup ?1} for G3(MP2)//B3 and 1.6 kcal mol{sup ?1} for G3(MP2)//B3-CEP. Approximately 75% and 70% of the calculated properties are found with accuracy between 2 kcal mol{sup ?1} for G3(MP2)//B3 and G3(MP2)//B3-CEP, respectively. Considering a confidence interval of 95%, the results may oscillate between 4.2 kcal mol{sup ?1} and 4.6 kcal mol{sup ?1}, respectively. The overall statistical behavior indicates that the calculations using pseudopotential present similar behavior with the all-electron theory. Of equal importance to the accuracy is the CPU time, which was reduced by between 10% and 40%.

  9. " Row: NAICS Codes; Column: Electricity...

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

    "Energy Consumption Survey.'" X-Input-Content-Type: applicationvnd.ms-excel X-Translator-Status: translating "Table N13.1. Electricity: Components of Net Demand,...

  10. " Row: Industry-Specific Technologies...

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

    ... ," Forehearth Designed for Minimal Energy Use (i)",184,9122,2026,8.5 ," ... ," Forehearth Designed for Minimal Energy Use (i)",121,730,175,25 ," ...

  11. Zero Energy-Ready Single-Family Homes - Building America Top...

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

    Find case studies of Building America projects across the country that demonstrate zero ... More Documents & Publications Building America Top Innovations 2013 Profile - Zero ...

  12. Building America Top Innovations 2013 Profile Zero Energy-Ready Single-Family Homes

    SciTech Connect (OSTI)

    none,

    2013-09-01

    Building homes that are zero energy-ready is a goal of the U.S. Department of Energys Building America program and one embodied in Building Americas premier home certification program, the Challenge Home program. This case study describes several examples of successful zero energy-ready home projects completed by Building America teams and partner builders.

  13. California Solar Initiative- Single-Family Affordable Solar Housing (SASH) Program

    Broader source: Energy.gov [DOE]

    The California Solar Initiative (CSI), enacted by SB 1 of 2006, provides financial incentives for installing solar technologies through a variety of smaller sub-programs. Of the $3.2 billion in t...

  14. Durable Airtightness in Single-Family Dwellings: Field Measurements and Analysis

    SciTech Connect (OSTI)

    Chan, Wanyu; Walker, Iain; Sherman, Max

    2015-06-01

    Durability of the building envelope is important to new homes that are increasingly built with improved levels of airtightness. It is also important to weatherized homes such that energy savings from retrofit measures, such as air sealing, are persistent. This paper presents a comparison of air leakage measurements collected in November 2013 through March 2014, with two sets of prior data collected between 2001-2003 from 17 new homes located near Atlanta, GA, and 17 homes near Boise, ID that were weatherized in 2007-2008. The purpose of the comparison is to determine if there are changes to the airtightness of building envelopes over time. The air leakage increased in all but one of the new homes, with a mean increase of about 25%. A regression analysis was performed to describe the relationship between prior and current measurements in terms of normalized leakage (NL).

  15. A Meta-Analysis of Single-Family Deep Energy Retrofit Performance...

    Office of Scientific and Technical Information (OSTI)

    Technologies Division Country of Publication: United States Language: English Subject: 32 ENERGY CONSERVATION, CONSUMPTION, AND UTILIZATION Word Cloud More Like This Full Text...

  16. Managing the Drivers of Air Flow and Water Vapor Transport in Existing Single Family Homes (Revised)

    SciTech Connect (OSTI)

    Cummings, J.; Withers, C.; Martin, E.; Moyer, N.

    2012-10-01

    This document focuses on managing the driving forces which move air and moisture across the building envelope. While other previously published Measure Guidelines focus on elimination of air pathways, the ultimate goal of this Measure Guideline is to manage drivers which cause air flow and water vapor transport across the building envelope (and also within the home), control air infiltration, keep relative humidity (RH) within acceptable limits, avoid combustion safety problems, improve occupant comfort, and reduce house energy use.

  17. Building America Top Innovations 2013 Profile … Zero Energy-Ready Single-Family Homes

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

    AMERICA TOP INNOVATIONS 2013 PROFILE Building homes that are zero energy ready is a goal of the U.S. Department of Energy's Building America program and one embodied in Building America's premier home certification program, the Challenge Home program. A net zero energy home is one that produces as much energy as the home uses. Solar power from photovoltaic panels can provide the energy but before the panels go on, there is a lot the builder can do to reduce the amount of power the home will

  18. Building America Top Innovations 2013 Profile – Zero Energy-Ready Single-Family Homes

    Broader source: Energy.gov [DOE]

    Many Building America teams (ARBI, BA-PIRC, BSC, CARB, IBACOS, NorthernSTAR, PHI, etc.) have worked with home builders to design and test zero-energy-ready homes.

  19. California Solar Initiative- Single-Family Affordable Solar Housing (SASH) Program

    Broader source: Energy.gov [DOE]

    The California Solar Initiative (CSI) provides financial incentives for installing solar technologies through a variety of smaller sub-programs. Of the $3.2 billion in total funding for the CSI, ...

  20. Reducing Power Factor Cost

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

    Low power factor is expensive and inefficient. Many utility companies charge you an additional fee if your power factor is less than 0.95. Low power factor also reduces your electrical system's distribu- tion capacity by increasing current flow and causing voltage drops. This fact sheet describes power factor and explains how you can improve your power factor to reduce electric bills and enhance your electrical system's capacity. REDUCING POWER FACTOR COST To understand power factor, visualize a

  1. The MX Factor

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

    The MX Factor National Security Science Latest Issue:July 2015 past issues All Issues submit The MX Factor Data from atmospheric test films persuaded Department of Defense...

  2. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    5a. Air Conditioning by Type of Owner-Occupied Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Owner- Occupied Units Type of Owner-Occupied Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.8 Households With Electric Air-Conditioning Equipment ........ 59.5 58.7 6.5 12.4 5.3 5.2 Air Conditioners Not Used ............ 1.2 1.1 Q 0.6 Q 23.3 Households Using

  3. ac_household2001.pdf

    Gasoline and Diesel Fuel Update (EIA)

    6a. Air Conditioning by Type of Rented Housing Unit, Million U.S. Households, 2001 Air Conditioning Characteristics RSE Column Factor: Total Rented Units Type of Rented Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.8 0.5 1.4 1.2 1.6 Households With Electric Air-Conditioning Equipment ........ 23.4 58.7 6.5 12.4 5.3 6.1 Air Conditioners Not Used ............ 0.9 1.1 Q 0.6 Q 23.0 Households Using Electric Air-Conditioning

  4. spaceheat_household2001.pdf

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

    4a. Space Heating by Type of Housing Unit, Million U.S. Households, 2001 Space Heating Characteristics RSE Column Factor: Total Type of Housing Unit RSE Row Factors Single-Family Apartments in Buildings With Mobile Home Two to Four Units Five or More Units 0.5 0.5 1.5 1.4 1.7 Total ............................................... 107.0 73.7 9.5 17.0 6.8 4.4 Heat Home ..................................... 106.0 73.4 9.4 16.4 6.8 4.5 Do Not Heat Home ........................ 1.0 0.3 Q 0.6 Q 19.0 No

  5. The MX Factor

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

    MX Factor Test films played a strategic-planning role in the debates of the late 1970s and early 1980s about where and how to deploy the MX intercontinental ballistic missile...

  6. FGF growth factor analogs

    DOE Patents [OSTI]

    Zamora, Paul O.; Pena, Louis A.; Lin, Xinhua; Takahashi, Kazuyuki

    2012-07-24

    The present invention provides a fibroblast growth factor heparin-binding analog of the formula: ##STR00001## where R.sub.1, R.sub.2, R.sub.3, R.sub.4, R.sub.5, X, Y and Z are as defined, pharmaceutical compositions, coating compositions and medical devices including the fibroblast growth factor heparin-binding analog of the foregoing formula, and methods and uses thereof.

  7. Douglas Factors | Department of Energy

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

    Douglas Factors Douglas Factors The Merit Systems Protection Board in its landmark decision, Douglas vs. Veterans Administration, 5 MSPR 280, established criteria that supervisors must consider in determining an appropriate penalty to impose for an act of employee misconduct. These twelve factors are commonly referred to as "Douglas Factors". PDF icon The Douglas Factors More Documents & Publications Douglas Factors NETL AFGE 1995 Douglas Factors NETL AFGE 1104 VBH-0060 - In the

  8. Multi-factor authentication

    DOE Patents [OSTI]

    Hamlet, Jason R; Pierson, Lyndon G

    2014-10-21

    Detection and deterrence of spoofing of user authentication may be achieved by including a cryptographic fingerprint unit within a hardware device for authenticating a user of the hardware device. The cryptographic fingerprint unit includes an internal physically unclonable function ("PUF") circuit disposed in or on the hardware device, which generates a PUF value. Combining logic is coupled to receive the PUF value, combines the PUF value with one or more other authentication factors to generate a multi-factor authentication value. A key generator is coupled to generate a private key and a public key based on the multi-factor authentication value while a decryptor is coupled to receive an authentication challenge posed to the hardware device and encrypted with the public key and coupled to output a response to the authentication challenge decrypted with the private key.

  9. Geothermal Plant Capacity Factors

    SciTech Connect (OSTI)

    Greg Mines; Jay Nathwani; Christopher Richard; Hillary Hanson; Rachel Wood

    2015-01-01

    The capacity factors recently provided by the Energy Information Administration (EIA) indicated this plant performance metric had declined for geothermal power plants since 2008. Though capacity factor is a term commonly used by geothermal stakeholders to express the ability of a plant to produce power, it is a term frequently misunderstood and in some instances incorrectly used. In this paper we discuss how this capacity factor is defined and utilized by the EIA, including discussion on the information that the EIA requests from operations in their 923 and 860 forms that are submitted both monthly and annually by geothermal operators. A discussion is also provided regarding the entities utilizing the information in the EIA reports, and how those entities can misinterpret the data being supplied by the operators. The intent of the paper is to inform the facility operators as the importance of the accuracy of the data that they provide, and the implications of not providing the correct information.

  10. Radiation View Factor With Shadowing

    Energy Science and Technology Software Center (OSTI)

    1992-02-24

    FACET calculates the radiation geometric view factor (alternatively called shape factor, angle factor, or configuration factor) between surfaces for axisymmetric, two-dimensional planar and three-dimensional geometries with interposed third surface obstructions. FACET was developed to calculate view factors as input data to finite element heat transfer analysis codes.

  11. A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.

    SciTech Connect (OSTI)

    Less, Brennan; Walker, Iain

    2014-03-01

    The current state of Deep Energy Retrofit (DER) performance in the U.S. has been assessed in 116 homes in the United States (US), using actual and simulated data gathered from the available domestic literature. Substantial airtightness reductions averaging 63% (n=48) were reported (two- to three-times more than in conventional retrofits), with average post-retrofit airtightness of 4.7 Air Changes per House at 50 Pascal (ACH50) (n=94). Yet, mechanical ventilation was not installed consistently. In order to avoid indoor air quality (IAQ) issues, all future DERs should comply with ASHRAE 62.2-2013 requirements or equivalent. Projects generally achieved good energy results, with average annual net-site and net-source energy savings of 47%20% and 45%24% (n=57 and n=35), respectively, and carbon emission reductions of 47%22% (n=23). Net-energy reductions did not vary reliably with house age, airtightness, or reported project costs, but pre-retrofit energy usage was correlated with total reductions (MMBtu). Annual energy costs were reduced $1,283$804 (n=31), from a pre-retrofit average of $2,738$1,065 to $1,588$561 post-retrofit (n=25 and n=39). The average reported incremental project cost was $40,420$30,358 (n=59). When financed on a 30-year term, the median change in net-homeownership cost was only $1.00 per month, ranging from $149 in savings to an increase of $212 (mean=$15.67$87.74; n=28), and almost half of the projects resulted in reductions in net-cost. The economic value of a DER may be much greater than is suggested by these net-costs, because DERs entail substantial non-energy benefits (NEBs), and retrofit measures may add value to a home at resale similarly to general remodeling, PV panel installation, and green/energy efficient home labels. These results provide estimates of the potential of DERs to address energy use in existing homes across climate zones that can be used in future estimates of the technical potential to reduce household energy use and greenhouse gas emissions through DERs.

  12. A Meta-Analysis of Single-Family Deep Energy Retrofit Performance in the U.S.

    SciTech Connect (OSTI)

    Less, Brennan; Walker, Iain

    2014-08-01

    The current state of Deep Energy Retrofit (DER) performance in the U.S. has been assessed in 116 homes in the United States, using actual and simulated data gathered from the available domestic literature. Substantial airtightness reductions averaging 63% (n=48) were reported (two- to three-times more than in conventional retrofits), with average post-retrofit airtightness of 4.7 Air Changes per House at 50 Pascal (ACH50) (n=94). Yet, mechanical ventilation was not installed consistently. In order to avoid indoor air quality (IAQ) issues, all future DERs should comply with ASHRAE 62.2-2013 requirements or equivalent. Projects generally achieved good energy results, with average annual net-site and net-source energy savings of 47%20% and 45%24% (n=57 and n=35), respectively, and carbon emission reductions of 47%22% (n=23). Net-energy reductions did not vary reliably with house age, airtightness, or reported project costs, but pre-retrofit energy usage was correlated with total reductions (MMBtu).

  13. Critical Question #7: What are the Best Practices for Single-Family Ventilation in All Climate Regions?

    Broader source: Energy.gov [DOE]

    Why ventilate? What are the ultimate goals of ventilation requirements in codes and standards? What are the characteristics of an effective ventilation system in new vs. existing construction? What are the risks and solutions associated with ventilation in hot-humid climates?

  14. Inelastic Scattering Form Factors

    Energy Science and Technology Software Center (OSTI)

    1992-01-01

    ATHENA-IV computes form factors for inelastic scattering calculations, using single-particle wave functions that are eigenstates of motion in either a Woods-Saxon potential well or a harmonic oscillator well. Two-body forces of Gauss, Coulomb, Yukawa, and a sum of cut-off Yukawa radial dependences are available.

  15. ERYTHROPOIETIC FACTOR PURIFICATION

    DOE Patents [OSTI]

    White, W.F.; Schlueter, R.J.

    1962-05-01

    A method is given for purifying and concentrating the blood plasma erythropoietic factor. Anemic sheep plasma is contacted three times successively with ion exchange resins: an anion exchange resin, a cation exchange resin at a pH of about 5, and a cation exchange resin at a pH of about 6. (AEC)

  16. All row, planar fault detection system

    DOE Patents [OSTI]

    Archer, Charles Jens; Pinnow, Kurt Walter; Ratterman, Joseph D; Smith, Brian Edward

    2013-07-23

    An apparatus, program product and method for detecting nodal faults may simultaneously cause designated nodes of a cell to communicate with all nodes adjacent to each of the designated nodes. Furthermore, all nodes along the axes of the designated nodes are made to communicate with their adjacent nodes, and the communications are analyzed to determine if a node or connection is faulty.

  17. Gas turbine row #1 steam cooled vane

    DOE Patents [OSTI]

    Cunha, Frank J. (Longwood, FL)

    2000-01-01

    A design for a vane segment having a closed-loop steam cooling system is provided. The vane segment comprises an outer shroud, an inner shroud and an airfoil, each component having a target surface on the inside surface of its walls. A plurality of rectangular waffle structures are provided on the target surface to enhance heat transfer between each component and cooling steam. Channel systems are provided in the shrouds to improve the flow of steam through the shrouds. Insert legs located in cavities in the airfoil are also provided. Each insert leg comprises outer channels located on a perimeter of the leg, each outer channel having an outer wall and impingement holes on the outer wall for producing impingement jets of cooling steam to contact the airfoil's target surface. Each insert leg further comprises a plurality of substantially rectangular-shaped ribs located on the outer wall and a plurality of openings located between outer channels of the leg to minimize cross flow degradation.

  18. " Row: End Uses within NAICS Codes;"

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

    (g)",69090,"*",1,297,1,"*" ," Facility Lighting",51946,"--","--","--","--","--" ," Other ... (g)",6192,"*","*",32,"*","*" ," Facility Lighting",6082,"--","--","--","--","--" ," Other ...

  19. " Row: End Uses within NAICS Codes;"

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

    HVAC (g)",236,"Q",4,306,4,3 ," Facility Lighting",177,"--","--","--","--","--" ," Other ... (g)",21,"*","Q",33,"*","*" ," Facility Lighting",21,"--","--","--","--","--" ," Other ...

  20. " Row: End Uses within NAICS Codes;"

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

    ...)","--",265,4,4,378,5,2,"--" ," Facility Lighting","--",198,"--","--","--","--","--","--" ...--",21,"*","*",30,1,"*","--" ," Facility Lighting","--",18,"--","--","--","--","--","--" ...

  1. " Row: End Uses within NAICS Codes;"

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

    ...--",77768,1,1,367,1,"*","--" ," Facility Lighting","--",58013,"--","--","--","--","--","--...6036,"*","*",29,"*","*","--" ," Facility Lighting","--",5291,"--","--","--","--","--","--" ...

  2. " Row: End Uses within NAICS Codes;"

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

    (g)",83480,1,1,367,1,"*" ," Facility Lighting",62902,"--","--","--","--","--" ," Other ... (g)",6217,"*","*",29,"*","*" ," Facility Lighting",5472,"--","--","--","--","--" ," Other ...

  3. " Row: End Uses within NAICS Codes;"

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

    (f)",84678,1,1,392,1,"*",5.7 ," Facility Lighting",66630,"--","--","--","--","--",1 ," ...,5402,"*","*",26,"*","*",2.2 ," Facility Lighting",4785,"--","--","--","--","--",1 ," ...

  4. " Row: End Uses within NAICS Codes;"

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

    ...",64945,"*",1,297,1,"*","--" ," Facility Lighting","--",48453,"--","--","--","--","--","--...5949,"*","*",32,"*","*","--" ," Facility Lighting","--",5809,"--","--","--","--","--","--" ...

  5. " Row: End Uses within NAICS Codes;"

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

    (g)",81980,1,1,406,1,"*",6.6 ," Facility Lighting",62019,"--","--","--","--","--",1.1 ," ...5037,"*","*",36,"*","*",11.3 ," Facility Lighting",4826,"--","--","--","--","--",1.3 ," ...

  6. " Row: End Uses within NAICS Codes;"

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

    ...79355,1,1,392,1,"*","--",5.7 ," Facility Lighting","--",61966,"--","--","--","--","--","--...,"*","*",26,"*","*","--",2.2 ," Facility Lighting","--",4492,"--","--","--","--","--","--"...

  7. " Row: End Uses within NAICS Codes;"

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

    (g)",280,3,5,417,5,5,6.6 ," Facility Lighting",212,"--","--","--","--","--",1.1 ," ...g)",17,"*","*",37,1,"*",11.3 ," Facility Lighting",16,"--","--","--","--","--",1.3 ," ...

  8. " Row: End Uses within NAICS Codes;"

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

    (f)",289,4,6,403,4,4,5.7 ," Facility Lighting",227,"--","--","--","--","--",1 ," Other ... (f)",18,1,1,26," *"," *",2.2 ," Facility Lighting",16,"--","--","--","--","--",1 ," Other ...

  9. " Row: End Uses within NAICS Codes;"

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

    ...,"--",222,"Q",4,306,4,3,"--" ," Facility Lighting","--",165,"--","--","--","--","--","--" ...",20,"*","Q",33,"*","*","--" ," Facility Lighting","--",20,"--","--","--","--","--","--" ...

  10. " Row: End Uses within NAICS Codes;"

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

    ...--",271,4,6,403,4,4,"--",5.7 ," Facility Lighting","--",211,"--","--","--","--","--","--",... *"," *","--",2.2 ," Facility Lighting","--",15,"--","--","--","--","--","--",1 ...

  11. " Row: End Uses within NAICS Codes;"

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

    ...--",262,3,5,417,5,5,"--",6.6 ," Facility Lighting","--",196,"--","--","--","--","--","--",...6,"*","*",37,1,"*","--",11.3 ," Facility Lighting","--",15,"--","--","--","--","--","--",1...

  12. " Row: End Uses within NAICS Codes;"

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

    HVAC (g)",285,4,4,378,5,2 ," Facility Lighting",215,"--","--","--","--","--" ," Other ... (g)",21,"*","*",30,1,"*" ," Facility Lighting",19,"--","--","--","--","--" ," Other ...

  13. " Row: End Uses within NAICS Codes;"

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

    ...76840,1,1,406,1,"*","--",6.6 ," Facility Lighting","--",57460,"--","--","--","--","--","--..."*","*",36,"*","*","--",11.3 ," Facility Lighting","--",4526,"--","--","--","--","--","--"...

  14. Update rows? | OpenEI Community

    Open Energy Info (EERE)

    - 11:01 Groups Menu You must login in order to post into this group. Recent content Hello-Sorry for the delay in... Use of DynamicAggregationProcessor I submitted a pull...

  15. " Row: NAICS Codes; Column: Energy Sources...

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

    ... energy consumption quantities should be minimal due to the relatively much " "higher ... energy consumption quantities should be minimal due to the relatively much " "higher ...

  16. " Row: NAICS Codes (3-Digit Only); Column...

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

    1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  17. " Row: Selected SIC Codes; Column: Energy...

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

    1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  18. " Row: NAICS Codes; Column: Energy Sources...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (d) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (e) ...

  19. " Row: Selected SIC Codes; Column: Energy...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (e) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (f) ...

  20. " Row: Selected SIC Codes; Column: Energy...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (d) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (e) ...

  1. " Row: NAICS Codes (3-Digit Only); Column...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (d) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (e) ...

  2. " Row: NAICS Codes; Column: Energy Sources...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (e) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (f) ...

  3. " Row: Selected SIC Codes; Column: Energy...

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

    ... 1, 2, and 4 fuel oils and Nos. 1, 2, and 4" "diesel fuels." " (c) 'Natural Gas' ... gas brokers, marketers," "and any marketing subsidiaries of utilities." " (d) ...

  4. Anthrax Lethal Factor

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

    Thiang Yian Wong, Robert Schwarzenbacher and Robert C. Liddington The Burnham Institute, 10901 North Torrey Pines Road, La Jolla, CA 92037. Anthrax Toxin is a major virulence factor in the infectious disease, Anthrax1. This toxin is produced by Bacillus anthracis, which is an encapsulated, spore-forming, rod-shaped bacterium. Inhalation anthrax, the most deadly form, is contracted through breathing spores. Once spores germinate within cells of the immune system called macrophages2, bacterial

  5. The MX Factor

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

    MX Factor Test films played a strategic-planning role in the debates of the late 1970s and early 1980s about where and how to deploy the MX intercontinental ballistic missile (LGM-118 Peacekeeper). The deployment would have to ensure that the missiles could survive a first strike by an adversary. Military planners were considering placing the missiles in clusters of hardened concrete shelters in the hot, dry Great Basin Desert of Nevada and Utah. Films of atmospheric tests at the Nevada Test

  6. Nucleon Electromagnetic Form Factors

    SciTech Connect (OSTI)

    Marc Vanderhaeghen; Charles Perdrisat; Vina Punjabi

    2007-10-01

    There has been much activity in the measurement of the elastic electromagnetic proton and neutron form factors in the last decade, and the quality of the data has greatly improved by performing double polarization experiments, in comparison with previous unpolarized data. Here we review the experimental data base in view of the new results for the proton, and neutron, obtained at JLab, MAMI, and MIT-Bates. The rapid evolution of phenomenological models triggered by these high-precision experiments will be discussed, including the recent progress in the determination of the valence quark generalized parton distributions of the nucleon, as well as the steady rate of improvements made in the lattice QCD calculations.

  7. 1989 CBECS EUI

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

    5. Electricity Consumption and Expenditure Intensities, 1992 Building Characteristics RSE Column Factor: Electricity Consumption Electricity Expenditures RSE Row Factor per...

  8. DOE Tour of Zero: Row Homes at Perrin's Row by New Town Builders...

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

    Water-saving EPA WaterSense-rated fixtures and a "smart" hot water recirculation loop reduce wasted water down the drain waiting for hot water inside. Drought-tolerant, ...

  9. Factor CO2 | Open Energy Information

    Open Energy Info (EERE)

    Factor CO2 Jump to: navigation, search Name: Factor CO2 Place: Bilbao, Spain Zip: 48008 Product: Spain-based consultancy specializing in climate change projects. References: Factor...

  10. Human Factors Engineering Analysis Tool

    Energy Science and Technology Software Center (OSTI)

    2002-03-04

    HFE-AT is a human factors engineering (HFE) software analysis tool (AT) for human-system interface design of process control systems, and is based primarily on NUREG-0700 guidance.

  11. SECTION M_Evaluation Factors

    National Nuclear Security Administration (NNSA)

    SECTION M EVALUATION FACTORS FOR AWARD TABLE OF CONTENTS M-1 EVALUATION OF PROPOSALS .....................................................................................2 M-2 BASIS FOR CONTRACT AWARD ...................................................................................3 M-3 TECHNICAL AND MANAGEMENT CRITERIA ..........................................................3 M-4 COST CRITERION

  12. Reducing Power Factor Cost | Department of Energy

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

    Reducing Power Factor Cost Reducing Power Factor Cost Low power factor is expensive and inefficient. Many utility companies charge an additional fee if your power factor is less than 0.95. Low power factor also reduces your electrical system's distribution capacity by increasing current flow and causing voltage drops. This fact sheet describes power factor and explains how you can improve your power factor to reduce electric bills and enhance your electrical system's capacity. PDF icon Reducing

  13. Human factors in software development

    SciTech Connect (OSTI)

    Curtis, B.

    1986-01-01

    This book presents an overview of ergonomics/human factors in software development, recent research, and classic papers. Articles are drawn from the following areas of psychological research on programming: cognitive ergonomics, cognitive psychology, and psycholinguistics. Topics examined include: theoretical models of how programmers solve technical problems, the characteristics of programming languages, specification formats in behavioral research and psychological aspects of fault diagnosis.

  14. Transcription factor-based biosensor

    DOE Patents [OSTI]

    2013-10-08

    The present invention provides for a system comprising a BmoR transcription factor, a .sigma..sup.54-RNA polymerase, and a pBMO promoter operatively linked to a reporter gene, wherein the pBMO promoter is capable of expression of the reporter gene with an activated form of the BmoR and the .sigma..sup.54-RNA polymerase.

  15. IPCC Emission Factor Database | Open Energy Information

    Open Energy Info (EERE)

    Emission Factor Database Jump to: navigation, search Tool Summary LAUNCH TOOL Name: IPCC Emission Factor Database AgencyCompany Organization: World Meteorological Organization,...

  16. Industrial Power Factor Analysis Guidebook. (Technical Report...

    Office of Scientific and Technical Information (OSTI)

    Industrial Power Factor Analysis Guidebook. Citation Details In-Document Search Title: Industrial Power Factor Analysis Guidebook. You are accessing a document from the ...

  17. Factors Impacting Decommissioning Costs - 13576

    SciTech Connect (OSTI)

    Kim, Karen; McGrath, Richard

    2013-07-01

    The Electric Power Research Institute (EPRI) studied United States experience with decommissioning cost estimates and the factors that impact the actual cost of decommissioning projects. This study gathered available estimated and actual decommissioning costs from eight nuclear power plants in the United States to understand the major components of decommissioning costs. Major costs categories for decommissioning a nuclear power plant are removal costs, radioactive waste costs, staffing costs, and other costs. The technical factors that impact the costs were analyzed based on the plants' decommissioning experiences. Detailed cost breakdowns by major projects and other cost categories from actual power plant decommissioning experiences will be presented. Such information will be useful in planning future decommissioning and designing new plants. (authors)

  18. Human factors in waste management

    SciTech Connect (OSTI)

    Moray, N.

    1994-10-01

    This article examines the role of human factors in radioactive waste management. Although few problems and ergonomics are special to radioactive waste management, some problems are unique especially with long term storage. The entire sociotechnical system must be looked at in order to see where improvement can take place because operator errors, as seen in Chernobyl and Bhopal, are ultimately the result of management errors.

  19. Factors Affecting PMU Installation Costs

    Office of Environmental Management (EM)

    September 2014 United States Department of Energy Washington, DC 20585 Department of Energy | September 2014 Factors Affecting PMU Installation Costs | Page ii Acknowledgments This report was sponsored by the U.S. Department of Energy's Office of Electricity Delivery and Energy Reliability (DOE-OE) and drafted by the Oak Ridge National Laboratory (ORNL). The effort was directed and supported by DOE program manager Joseph Paladino. The lead authors are Marcus Young of ORNL and Alison Silverstein

  20. Cone Penetrometer N Factor Determination Testing Results

    SciTech Connect (OSTI)

    Follett, Jordan R.

    2014-03-05

    This document contains the results of testing activities to determine the empirical 'N Factor' for the cone penetrometer in kaolin clay simulant. The N Factor is used to releate resistance measurements taken with the cone penetrometer to shear strength.

  1. Clothes Washer Test Cloth Correction Factor Information

    Broader source: Energy.gov [DOE]

    This page contains the information used to determine the test cloth correction factors for each test cloth lot.

  2. Human factors: a necessary tool for industry

    SciTech Connect (OSTI)

    Starcher, K.O.

    1984-03-09

    The need for human factors (ergonomics) input in the layout of a ferroelectric ceramics laboratory is presented as an example of the overall need for human factors professionals in industry. However, even in the absence of one trained in human factors, knowledge of a few principles in ergonomics will provide many possibilities for improving performance in the industrial environment.

  3. Antenna factorization in strongly ordered limits

    SciTech Connect (OSTI)

    Kosower, David A.

    2005-02-15

    When energies or angles of gluons emitted in a gauge-theory process are small and strongly ordered, the emission factorizes in a simple way to all orders in perturbation theory. I show how to unify the various strongly ordered soft, mixed soft-collinear, and collinear limits using antenna factorization amplitudes, which are generalizations of the Catani-Seymour dipole factorization function.

  4. Factors fragmenting the Russian Federation

    SciTech Connect (OSTI)

    Brown, E.

    1993-10-06

    This paper examines the factors that threaten the future of the Russian Federation (RF). The observations are based on a study that focused on eight republics: Mordova, Udmurtia, Tatarstan, Mari El, Bashkortostan, Kabardino-Balkaria, Buryatia, and Altay Republic. These republics were selected for their geographic and economic significance to the RF. Tatarstan, Bashkortostan, Udmurtia, and Mari El are located on important supply routes, such as the Volga River and the trans-Siberian railroad. Some of these republics are relatively wealthy, with natural resources such as oil (e.g., Tatarstan and Bashkortostan), and all eight republics play significant roles in the military-industrial complex. The importance of these republics to the RF contrasts to the relative insignificance of the independence-minded Northern Caucasus area. The author chose not to examine the Northern Caucasus region (except Kabardino-Balkaria) because these republics may have only a minor impact on the rest of the RF if they secede. Their impact would be minimized because they lie on the frontiers of the RF. Many Russians believe that {open_quotes}it might be best to let such a troublesome area secede.{close_quotes}

  5. Level: National Data; Row: General Energy-Management Activities...

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

    Next MECS will be fielded in 2015 Table 8.1 Number of ... 10,646 709 3,132 165 Electricity Load Control 154,406 ... 496 1,748 297 Technical Information (k) 152,416 17,751 8,431 ...

  6. Level: National Data; Row: NAICS Codes; Column: Energy Sources...

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

    ... within 324. Their influence on energy consumption quantities should be minimal due to the relatively much higher energy intensities of correctly classified petroleum refineries. ...

  7. File:UtilityROW.pdf | Open Energy Information

    Open Energy Info (EERE)

    19:08, 26 November 2012 Thumbnail for version as of 19:08, 26 November 2012 1,275 2,100, 3 pages (38 KB) Dklein2012 (Talk | contribs) You cannot overwrite this file. Edit...

  8. Dense LU Factorization on Multicore Supercomputer Nodes (Conference...

    Office of Scientific and Technical Information (OSTI)

    DIMENSIONS; DISTRIBUTION; FACTORIZATION; IMPLEMENTATION; PERFORMANCE; PROCESSING; ROTATION; SUPERCOMPUTERS dense LU factorization; mapping; numerical algorithms; linear algebra...

  9. Synthetic heparin-binding growth factor analogs

    DOE Patents [OSTI]

    Pena, Louis A.; Zamora, Paul; Lin, Xinhua; Glass, John D.

    2007-01-23

    The invention provides synthetic heparin-binding growth factor analogs having at least one peptide chain that binds a heparin-binding growth factor receptor, covalently bound to a hydrophobic linker, which is in turn covalently bound to a non-signaling peptide that includes a heparin-binding domain. The synthetic heparin-binding growth factor analogs are useful as soluble biologics or as surface coatings for medical devices.

  10. Industrial Power Factor Analysis Guidebook. Electrotek Concepts...

    Office of Scientific and Technical Information (OSTI)

    low power factors, increased conductor and transformer losses, and lower voltages. Utilities must supply both active and reactive power and compensate for these losses. Power...

  11. Summary - Major Risk Factors Integrated Facility Disposition...

    Office of Environmental Management (EM)

    Office of Environmental Management (DOE-EM) External Technical Review of the Major Risk Factors Integrated Facility Disposition Project (IFDP) Oak Ridge, TN Why DOE-EM Did...

  12. EcoFactor Inc | Open Energy Information

    Open Energy Info (EERE)

    Name: EcoFactor Inc Place: Millbrae, California Zip: 94030 Product: California-based home energy management service provider. Coordinates: 37.60276, -122.395444 Show Map...

  13. CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS...

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

    Journal Article: CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS AFFECTING FUSION. Citation Details In-Document Search Title: CONTROL OF MECHANICALLY ACTIVATED...

  14. CONTROL OF MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS...

    Office of Scientific and Technical Information (OSTI)

    MECHANICALLY ACTIVATED POLYMERSOME FUSION: FACTORS AFFECTING FUSION. Henderson, Ian M.; Paxton, Walter F Abstract not provided. Sandia National Laboratories (SNL-NM), Albuquerque,...

  15. Emission Factors (EMFAC) | Open Energy Information

    Open Energy Info (EERE)

    The EMission FACtors (EMFAC) model is used to calculate emission rates from all motor vehicles, such as passenger cars to heavy-duty trucks, operating on highways, freeways...

  16. 1989 CBECS EUI

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

    . Consumption for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Consumption RSE Row Factor Number of Buildings (thousand)...

  17. 1989 CBECS EUI

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

    . Expenditures for Sum of Major Fuels, 1992 Building Characteristics RSE Column Factor: All Buildings Sum of Major Fuel Expenditures RSE Row Factor Number of Buildings (thousand)...

  18. 1989 CBECS EUI

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

    . Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of Buildings...

  19. 1989 CBECS EUI

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

    Table 3.2. Total Energy Consumption by Major Fuel, 1992 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) RSE Row Factor Number of...

  20. 1995 CECS C&E Tables

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

    Major Fuel, 1995 Building Characteristics RSE Column Factor: All Buildings Total Energy Consumption (trillion Btu) Primary Electricity (trillion Btu) RSE Row Factor Number of...

  1. Gauss Sum Factorization with Cold Atoms

    SciTech Connect (OSTI)

    Gilowski, M.; Wendrich, T.; Mueller, T.; Ertmer, W.; Rasel, E. M. [Institut fuer Quantenoptik, Leibniz Universitaet Hannover, Welfengarten 1, D-30167 Hannover (Germany); Jentsch, Ch. [Astrium GmbH-Satellites, 88039 Friedrichshafen (Germany); Schleich, W. P. [Institut fuer Quantenphysik, Universitaet Ulm, Albert-Einstein-Allee 11, D-89081 Ulm (Germany)

    2008-01-25

    We report the first implementation of a Gauss sum factorization algorithm by an internal state Ramsey interferometer using cold atoms. A sequence of appropriately designed light pulses interacts with an ensemble of cold rubidium atoms. The final population in the involved atomic levels determines a Gauss sum. With this technique we factor the number N=263193.

  2. Section M: Evaluations Factors for Award

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

    V SECTION M EVALUATION FACTORS FOR AWARD Request for Proposal # DE-RP36-07GO97036 PART V SECTION M EVALUATION FACTORS FOR AWARD TABLE OF CONTENTS M.1 Evaluation of Proposals ..........................................................................................1 M.2 Evaluation Criteria..................................................................................................1 M.3 Basis For Award

  3. Two-Factor Authentication | Department of Energy

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

    Authentication Two-Factor Authentication computer-767784_960_720.jpg Two-Factor Authentication (2FA) (also known as 2-Step Verification) is a system that employs two methods to identify an individual. More secure than reusable passwords, when a token's random number is combined with a secret PIN, the resulting passcode provides positive identification, and more reliable user authentication.

  4. Synthetic heparin-binding factor analogs

    DOE Patents [OSTI]

    Pena, Louis A.; Zamora, Paul O.; Lin, Xinhua; Glass, John D.

    2010-04-20

    The invention provides synthetic heparin-binding growth factor analogs having at least one peptide chain, and preferably two peptide chains branched from a dipeptide branch moiety composed of two trifunctional amino acid residues, which peptide chain or chains bind a heparin-binding growth factor receptor and are covalently bound to a non-signaling peptide that includes a heparin-binding domain, preferably by a linker, which may be a hydrophobic linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

  5. Two-Factor Identify Proofing Process | Department of Energy

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

    Identify Proofing Process Two-Factor Identify Proofing Process

  6. Carbon Dioxide Emission Factors for Coal

    Reports and Publications (EIA)

    1994-01-01

    The Energy Information Administration (EIA) has developed factors for estimating the amount of carbon dioxide emitted, accounting for differences among coals, to reflect the changing "mix" of coal in U.S. coal consumption.

  7. Relativistic Thomson Scatter from Factor Calculation

    Energy Science and Technology Software Center (OSTI)

    2009-11-01

    The purpose of this program is calculate the fully relativistic Thomson scatter from factor in unmagnetized plasmas. Such calculations are compared to experimental diagnoses of plasmas at such facilities as the Jupiter laser facility here a LLNL.

  8. Orderings for incomplete factorization preconditioning of nonsymmetric

    Office of Scientific and Technical Information (OSTI)

    problems (Journal Article) | SciTech Connect Orderings for incomplete factorization preconditioning of nonsymmetric problems Citation Details In-Document Search Title: Orderings for incomplete factorization preconditioning of nonsymmetric problems Numerical experiments are presented whereby the effect of reorderings on the convergence of preconditioned Krylov subspace methods for the solution of nonsymmetric linear systems is shown. The preconditioners used in this study are different

  9. Proton form factor effects in hydrogenic atoms

    SciTech Connect (OSTI)

    Daza, F. Garcia; Kelkar, N. G.; Nowakowski, M.

    2011-10-21

    The proton structure corrections to the hyperfine splittings in electronic and muonic hydrogen are evaluated using the Breit potential with electromagnetic form factors. In contrast to other methods, the Breit equation with q{sup 2} dependent form factors is just an extension of the standard Breit equation which gives the hyperfine splitting Hamiltonian. Precise QED corrections are comparable to the structure corrections which therefore need to be evaluated ab initio.

  10. Communication-avoiding symmetric-indefinite factorization

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

    Ballard, Grey Malone; Becker, Dulcenia; Demmel, James; Dongarra, Jack; Druinsky, Alex; Peled, Inon; Schwartz, Oded; Toledo, Sivan; Yamazaki, Ichitaro

    2014-11-13

    We describe and analyze a novel symmetric triangular factorization algorithm. The algorithm is essentially a block version of Aasen's triangular tridiagonalization. It factors a dense symmetric matrix A as the product A=PLTLTPT where P is a permutation matrix, L is lower triangular, and T is block tridiagonal and banded. The algorithm is the first symmetric-indefinite communication-avoiding factorization: it performs an asymptotically optimal amount of communication in a two-level memory hierarchy for almost any cache-line size. Adaptations of the algorithm to parallel computers are likely to be communication efficient as well; one such adaptation has been recently published. As a result,more » the current paper describes the algorithm, proves that it is numerically stable, and proves that it is communication optimal.« less

  11. Hadronic form factors in kaon photoproduction

    SciTech Connect (OSTI)

    Syukurilla, L. Mart, T.

    2014-09-25

    We have revisited the effect of hadronic form factors in kaon photoproduction process by utilizing an isobaric model developed for kaon photoproduction off the proton. The model is able to reproduce the available experimental data nicely as well as to reveal the origin of the second peak in the total cross section, which was the main source of confusion for decades. Different from our previous study, in the present work we explore the possibility of using different hadronic form factors in each of the K?N vertices. The use of different hadronic form factors, e.g. dipole, Gaussian, and generalized dipole, has been found to produce a more flexible isobar model, which can provide a significant improvement in the model.

  12. Human factors in nuclear technology - a history

    SciTech Connect (OSTI)

    Jones, D.B. )

    1992-01-01

    Human factors, human factors engineering (HFE), or ergonomics did not receive much formal attention in nuclear technology prior to the Three Mile Island Unit 2 (TMI-2) incident. Three principal reasons exist for this lack of concern. First, emerging technologies show little concern with how people will use a new system. Making the new technology work is considered more important than the people who will use it. Second, the culture of the users of nuclear power did not recognize a need for human factors. Traditional utilities had well established and effective engineering designs for control of electric power generation, while medicine considered the use of nuclear isotopes another useful tool, not requiring special ergonomics. Finally, the nuclear industry owed much to Admiral Rickover. He was definitely opposed.

  13. Chiral extrapolation of nucleon magnetic form factors

    SciTech Connect (OSTI)

    P. Wang; D. Leinweber; A. W. Thomas; R.Young

    2007-04-01

    The extrapolation of nucleon magnetic form factors calculated within lattice QCD is investigated within a framework based upon heavy baryon chiral effective-field theory. All one-loop graphs are considered at arbitrary momentum transfer and all octet and decuplet baryons are included in the intermediate states. Finite range regularization is applied to improve the convergence in the quark-mass expansion. At each value of the momentum transfer (Q{sup 2}), a separate extrapolation to the physical pion mass is carried out as a function of m{sub {pi}} alone. Because of the large values of Q{sup 2} involved, the role of the pion form factor in the standard pion-loop integrals is also investigated. The resulting values of the form factors at the physical pion mass are compared with experimental data as a function of Q{sup 2} and demonstrate the utility and accuracy of the chiral extrapolation methods presented herein.

  14. Communication-avoiding symmetric-indefinite factorization

    SciTech Connect (OSTI)

    Ballard, Grey Malone; Becker, Dulcenia; Demmel, James; Dongarra, Jack; Druinsky, Alex; Peled, Inon; Schwartz, Oded; Toledo, Sivan; Yamazaki, Ichitaro

    2014-11-13

    We describe and analyze a novel symmetric triangular factorization algorithm. The algorithm is essentially a block version of Aasen's triangular tridiagonalization. It factors a dense symmetric matrix A as the product A=PLTLTPT where P is a permutation matrix, L is lower triangular, and T is block tridiagonal and banded. The algorithm is the first symmetric-indefinite communication-avoiding factorization: it performs an asymptotically optimal amount of communication in a two-level memory hierarchy for almost any cache-line size. Adaptations of the algorithm to parallel computers are likely to be communication efficient as well; one such adaptation has been recently published. As a result, the current paper describes the algorithm, proves that it is numerically stable, and proves that it is communication optimal.

  15. Human factors challenges for advanced process control

    SciTech Connect (OSTI)

    Stubler, W.F.; O`Hara, J..M.

    1996-08-01

    New human-system interface technologies provide opportunities for improving operator and plant performance. However, if these technologies are not properly implemented, they may introduce new challenges to performance and safety. This paper reports the results from a survey of human factors considerations that arise in the implementation of advanced human-system interface technologies in process control and other complex systems. General trends were identified for several areas based on a review of technical literature and a combination of interviews and site visits with process control organizations. Human factors considerations are discussed for two of these areas, automation and controls.

  16. Annotated bibliography of human factors applications literature

    SciTech Connect (OSTI)

    McCafferty, D.B.

    1984-09-30

    This bibliography was prepared as part of the Human Factors Technology Project, FY 1984, sponsored by the Office of Nuclear Safety, US Department of Energy. The project was conducted by Lawrence Livermore National Laboratory, with Essex Corporation as a subcontractor. The material presented here is a revision and expansion of the bibliographic material developed in FY 1982 as part of a previous Human Factors Technology Project. The previous bibliography was published September 30, 1982, as Attachment 1 to the FY 1982 Project Status Report.

  17. Derivation of dose conversion factors for tritium

    SciTech Connect (OSTI)

    Killough, G. G.

    1982-03-01

    For a given intake mode (ingestion, inhalation, absorption through the skin), a dose conversion factor (DCF) is the committed dose equivalent to a specified organ of an individual per unit intake of a radionuclide. One also may consider the effective dose commitment per unit intake, which is a weighted average of organ-specific DCFs, with weights proportional to risks associated with stochastic radiation-induced fatal health effects, as defined by Publication 26 of the International Commission on Radiological Protection (ICRP). This report derives and tabulates organ-specific dose conversion factors and the effective dose commitment per unit intake of tritium. These factors are based on a steady-state model of hydrogen in the tissues of ICRP's Reference Man (ICRP Publication 23) and equilibrium of specific activities between body water and other tissues. The results differ by 27 to 33% from the estimate on which ICRP Publication 30 recommendations are based. The report also examines a dynamic model of tritium retention in body water, mineral bone, and two compartments representing organically-bound hydrogen. This model is compared with data from human subjects who were observed for extended periods. The manner of combining the dose conversion factors with measured or model-predicted levels of contamination in man's exposure media (air, drinking water, soil moisture) to estimate dose rate to an individual is briefly discussed.

  18. Test of factorization in diffractive deep inelastic scattering...

    Office of Scientific and Technical Information (OSTI)

    Test of factorization in diffractive deep inelastic scattering and photoproduction at HERA Citation Details In-Document Search Title: Test of factorization in diffractive deep ...

  19. Research on Factors Relating to Density and Climate Change |...

    Open Energy Info (EERE)

    on Factors Relating to Density and Climate Change Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Research on Factors Relating to Density and Climate Change Agency...

  20. First Climate formerly Factor Consulting | Open Energy Information

    Open Energy Info (EERE)

    First Climate formerly Factor Consulting Jump to: navigation, search Name: First Climate (formerly Factor Consulting) Place: Germany Sector: Carbon Product: Former Swiss-based...

  1. Module: Emission Factors for Deforestation | Open Energy Information

    Open Energy Info (EERE)

    www.leafasia.orgtoolstechnical-guidance-series-emission-factors-defo Cost: Free Language: English Module: Emission Factors for Deforestation Screenshot Logo: Module: Emission...

  2. HUMAN FACTORS GUIDANCE FOR CONTROL ROOM EVALUATION

    SciTech Connect (OSTI)

    OHARA,J.; BROWN,W.; STUBLER,W.; HIGGINS,J.; WACHTEL,J.; PERSENSKY,J.J.

    2000-07-30

    The Human-System Interface Design Review Guideline (NUREG-0700, Revision 1) was developed by the US Nuclear Regulatory Commission (NRC) to provide human factors guidance as a basis for the review of advanced human-system interface technologies. The guidance consists of three components: design review procedures, human factors engineering guidelines, and a software application to provide design review support called the ``Design Review Guideline.'' Since it was published in June 1996, Rev. 1 to NUREG-0700 has been used successfully by NRC staff, contractors and nuclear industry organizations, as well as by interested organizations outside the nuclear industry. The NRC has committed to the periodic update and improvement of the guidance to ensure that it remains a state-of-the-art design evaluation tool in the face of emerging and rapidly changing technology. This paper addresses the current research to update of NUREG-0700 based on the substantial work that has taken place since the publication of Revision 1.

  3. 1989 CBECS EUI

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  4. 1995 CECS C&E Tables

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

    reported for fewer than 20 buildings. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding RSE column and RSE row factors. * See Glossary for...

  5. Buildings and Energy in the 1980's (TABLES)

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

    than 10 households were sampled. Notes: * To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. * Because of rounding, data may...

  6. Measurement of the ??*?? and ??*??' transition form factors

    SciTech Connect (OSTI)

    del Amo Sanchez, P.; Lees, J. P.; Poireau, V.; Prencipe, E.; Tisserand, V.; GarraTico, J.; Grauges, E.; Martinelli, M.; Milanes, D. A.; Palano, A.; Pappagallo, M.; Eigen, G.; Stugu, B.; Sun, L.; Brown, D. N.; Kerth, L. T.; Kolomensky, Yu.?G.; Lynch, G.; Osipenkov, I. L.; Koch, H.; Schroeder, T.; Asgeirsson, D. J.; Hearty, C.; Mattison, T. S.; McKenna, J. A.; Khan, A.; Blinov, V. E.; Botov, A. A.; Buzykaev, A. R.; Druzhinin, V. P.; Golubev, V. B.; Kravchenko, E. A.; Onuchin, A. P.; Serednyakov, S. I.; Skovpen, Yu.?I.; Solodov, E. P.; Todyshev, K.?Yu.; Yushkov, A. N.; Bondioli, M.; Curry, S.; Kirkby, D.; Lankford, A. J.; Mandelkern, M.; Martin, E. C.; Stoker, D. P.; Atmacan, H.; Gary, J. W.; Liu, F.; Long, O.; Vitug, G. M.; Campagnari, C.; Hong, T. M.; Kovalskyi, D.; Richman, J. D.; West, C. A.; Eisner, A. M.; Heusch, C. A.; Kroseberg, J.; Lockman, W. S.; Martinez, A. J.; Schalk, T.; Schumm, B. A.; Seiden, A.; Winstrom, L. O.; Cheng, C. H.; Doll, D. A.; Echenard, B.; Hitlin, D. G.; Ongmongkolkul, P.; Porter, F. C.; Rakitin, A. Y.; Andreassen, R.; Dubrovin, M. S.; Meadows, B. T.; Sokoloff, M. D.; Bloom, P. C.; Ford, W. T.; Gaz, A.; Nagel, M.; Nauenberg, U.; Smith, J. G.; Wagner, S. R.; Ayad, R.; Toki, W. H.; Jasper, H.; Petzold, A.; Spaan, B.; Kobel, M. J.; Schubert, K. R.; Schwierz, R.; Bernard, D.; Verderi, M.; Clark, P. J.; Playfer, S.; Watson, J. E.; Andreotti, M.; Bettoni, D.; Bozzi, C.; Calabrese, R.; Cecchi, A.; Cibinetto, G.; Fioravanti, E.; Franchini, P.; Garzia, I.; Luppi, E.; Munerato, M.; Negrini, M.; Petrella, A.; Piemontese, L.; Baldini-Ferroli, R.; Calcaterra, A.; de Sangro, R.; Finocchiaro, G.; Nicolaci, M.; Pacetti, S.; Patteri, P.; Peruzzi, I. M.; Piccolo, M.; Rama, M.; Zallo, A.; Contri, R.; Guido, E.; Lo Vetere, M.; Monge, M. R.; Passaggio, S.; Patrignani, C.; Robutti, E.; Bhuyan, B.; Prasad, V.; Lee, C. L.; Morii, M.; Edwards, A. J.; Adametz, A.; Marks, J.; Uwer, U.; Bernlochner, F. U.; Ebert, M.; Lacker, H. M.; Lueck, T.; Volk, A.; Dauncey, P. D.; Tibbetts, M.; Behera, P. K.; Mallik, U.; Chen, C.; Cochran, J.; Crawley, H. B.; Meyer, W. T.; Prell, S.; Rosenberg, E. I.; Rubin, A. E.; Gritsan, A. V.; Guo, Z. J.; Arnaud, N.; Davier, M.; Derkach, D.; Firmino da Costa, J.; Grosdidier, G.; Le Diberder, F.; Lutz, A. M.; Malaescu, B.; Perez, A.; Roudeau, P.; Schune, M. H.; Serrano, J.; Sordini, V.; Stocchi, A.; Wang, L.; Wormser, G.; Lange, D. J.; Wright, D. M.; Bingham, I.; Chavez, C. A.; Coleman, J. P.; Fry, J. R.; Gabathuler, E.; Hutchcroft, D. E.; Payne, D. J.; Touramanis, C.; Bevan, A. J.; Di Lodovico, F.; Sacco, R.; Sigamani, M.; Cowan, G.; Paramesvaran, S.; Wren, A. C.; Brown, D. N.; Davis, C. L.; Denig, A. G.; Fritsch, M.; Gradl, W.; Hafner, A.; Alwyn, K. E.; Bailey, D.; Barlow, R. J.; Jackson, G.; Lafferty, G. D.; Anderson, J.; Cenci, R.; Jawahery, A.; Roberts, D. A.; Simi, G.; Tuggle, J. M.; Dallapiccola, C.; Salvati, E.; Cowan, R.; Dujmic, D.; Sciolla, G.; Zhao, M.; Lindemann, D.; Patel, P. M.; Robertson, S. H.; Schram, M.; Biassoni, P.; Lazzaro, A.; Lombardo, V.; Palombo, F.; Stracka, S.; Cremaldi, L.; Godang, R.; Kroeger, R.; Sonnek, P.; Summers, D. J.; Nguyen, X.; Simard, M.; Taras, P.; De Nardo, G.; Monorchio, D.; Onorato, G.; Sciacca, C.; Raven, G.; Snoek, H. L.; Jessop, C. P.; Knoepfel, K. J.; LoSecco, J. M.; Wang, W. F.; Corwin, L. A.; Honscheid, K.; Kass, R.; Blount, N. L.; Brau, J.; Frey, R.; Igonkina, O.; Kolb, J. A.; Rahmat, R.; Sinev, N. B.; Strom, D.; Strube, J.; Torrence, E.; Castelli, G.; Feltresi, E.; Gagliardi, N.; Margoni, M.; Morandin, M.; Posocco, M.; Rotondo, M.; Simonetto, F.; Stroili, R.; Ben-Haim, E.; Bomben, M.; Bonneaud, G. R.; Briand, H.; Calderini, G.; Chauveau, J.; Hamon, O.; Leruste, Ph.; Marchiori, G.; Ocariz, J.; Prendki, J.; Sitt, S.; Biasini, M.; Manoni, E.; Rossi, A.; Angelini, C.; Batignani, G.; Bettarini, S.; Carpinelli, M.; Casarosa, G.; Cervelli, A.; Forti, F.; Giorgi, M. A.; Lusiani, A.; Neri, N.; Paoloni, E.; Rizzo, G.; Walsh, J. J.; LopesPegna, D.; Lu, C.; Olsen, J.; Smith, A. J. S.; Telnov, A. V.; Anulli, F.; Baracchini, E.; Cavoto, G.; Faccini, R.; Ferrarotto, F.; Ferroni, F.; Gaspero, M.; LiGioi, L.; Mazzoni, M. A.; Piredda, G.; Renga, F.; Buenger, C.; Hartmann, T.; Leddig, T.; Schrder, H.; Waldi, R.; Adye, T.; Olaiya, E. O.; Wilson, F. F.; Emery, S.; Hamel de Monchenault, G.; Vasseur, G.; Yche, Ch.; Allen, M. T.; Aston, D.; Bard, D. J.; Bartoldus, R.; Benitez, J. F.; Cartaro, C.; Convery, M. R.; Dorfan, J.; Dubois-Felsmann, G. P.; Dunwoodie, W.; Field, R. C.; FrancoSevilla, M.; Fulsom, B. G.; Gabareen, A. M.; Graham, M. T.; Grenier, P.; Hast, C.; Innes, W. R.; Kelsey, M. H.; Kim, H.; Kim, P.; Kocian, M. L.; Leith, D. W. G. S.; Lewis, P.; Li, S.; Lindquist, B.; Luitz, S.; Luth, V.; Lynch, H. L.

    2011-09-06

    We study the reactions e?e??e?e??(') in the single-tag mode and measure the ??*??(') transition form factors in the momentum-transfer range from 4 to 40 GeV. The analysis is based on 469 fb? of integrated luminosity collected at PEP-II with the BABAR detector at e?e? center-of-mass energies near 10.6 GeV.

  7. Transcription factor-based biosensors for detecting dicarboxylic acids

    DOE Patents [OSTI]

    Dietrich, Jeffrey; Keasling, Jay

    2014-02-18

    The invention provides methods and compositions for detecting dicarboxylic acids using a transcription factor biosensor.

  8. 1992 CBECS C&E Table 3.29

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

    per Square Foot and Load Factors, 1992 Building Characteristics RSE Column Factor: All Demand-Metered Buildings Peak Watts per Square Foot Load Factor RSE Row Factor Number of...

  9. Identification and Control of Factors that Affect EGR Cooler Fouling |

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

    Department of Energy Control of Factors that Affect EGR Cooler Fouling Identification and Control of Factors that Affect EGR Cooler Fouling Key factors that cause exhaust gas recirculation cooler fouling were identified through extensive literature search and controlled experiment was devised to study the impact of a few key factors on deposition. PDF icon deer08_styles.pdf More Documents & Publications Factors Impacting EGR Cooler Fouling - Main Effects and Interactions The Impact of PM

  10. Form factor dark matter (Journal Article) | SciTech Connect

    Office of Scientific and Technical Information (OSTI)

    Form factor dark matter Citation Details In-Document Search Title: Form factor dark matter We present a dynamical alternative to inelastic dark matter as a way of reconciling the modulating signal seen at DAMA with null results at other direct detection experiments. The essential ingredient is a new form factor which introduces momentum dependence in the interaction of dark matter with nuclei. The role of the form factor is to suppress events at low momentum transfer. We find that a form factor

  11. Various factors affect coiled tubing limits

    SciTech Connect (OSTI)

    Yang, Y.S.

    1996-01-15

    Safety and reliability remain the primary concerns in coiled tubing operations. Factors affecting safety and reliability include corrosion, flexural bending, internal (or external) pressure and tension (or compression), and mechanical damage due to improper use. Such limits as coiled tubing fatigue, collapse, and buckling need to be understood to avoid disaster. With increased use of coiled tubing, operators will gain more experience. But at the same time, with further research and development of coiled tubing, the manufacturing quality will be improved and fatigue, collapse, and buckling models will become more mature, and eventually standard specifications will be available. This paper reviews the uses of coiled tubing and current research on mechanical behavior of said tubing. It also discusses several models used to help predict fatigue and failure levels.

  12. Chiral corrections to hyperon axial form factors

    SciTech Connect (OSTI)

    Jiang Fujiun; Tiburzi, B. C.

    2008-05-01

    We study the complete set of flavor-changing hyperon axial-current matrix elements at small momentum transfer. Using partially quenched heavy baryon chiral perturbation theory, we derive the chiral and momentum behavior of the axial and induced pseudoscalar form factors. The meson pole contributions to the latter posses a striking signal for chiral physics. We argue that the study of hyperon axial matrix elements enables a systematic lattice investigation of the efficacy of three-flavor chiral expansions in the baryon sector. This can be achieved by considering chiral corrections to SU(3) symmetry predictions, and their partially quenched generalizations. In particular, despite the presence of eight unknown low-energy constants, we are able to make next-to-leading order symmetry breaking predictions for two linear combinations of axial charges.

  13. Fermilab | Science Next Door: Fermilab's Community Newsletter

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

    October 2015 Facebook row spacer Twitter row spacer YouTube row spacer Subscribe | Fermilab Home row spacer row spacer row spacer row spacer row spacer Welcome to Science Next...

  14. Fragmentation, NRQCD and Factorization in Heavy Quarkonium Production

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect Fragmentation, NRQCD and Factorization in Heavy Quarkonium Production Citation Details In-Document Search Title: Fragmentation, NRQCD and Factorization in Heavy Quarkonium Production We discuss factorization in heavy quarkonium production in high energy collisions using NRQCD. Infrared divergences at NNLO are not matched by conventional NRQCD matrix elements. However, we show that gauge invariance and factorization require that conventional NRQCD

  15. Major Risk Factors Integrated Facility Disposition Project - Oak Ridge |

    Energy Savers [EERE]

    Department of Energy Integrated Facility Disposition Project - Oak Ridge Major Risk Factors Integrated Facility Disposition Project - Oak Ridge Full Document and Summary Versions are available for download PDF icon Major Risk Factors Integrated Facility Disposition Project - Oak Ridge PDF icon Summary - Major Risk Factors Integrated Facility Disposition Project (IFDP) Oak Ridge, TN More Documents & Publications Major Risk Factors to the Integrated Facility Disposition Project Compilation

  16. Study of Factors Affecting Shrub Establishment on the Monticello, Utah,

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

    Disposal Cell Cover | Department of Energy Study of Factors Affecting Shrub Establishment on the Monticello, Utah, Disposal Cell Cover Study of Factors Affecting Shrub Establishment on the Monticello, Utah, Disposal Cell Cover Study of Factors Affecting Shrub Establishment on the Monticello, Utah, Disposal Cell Cover PDF icon Study of Factors Affecting Shrub Establishment on the Monticello, Utah, Disposal Cell Cover More Documents & Publications Changes in Vegetation at the Monticello,

  17. Voluntary Reporting of Greenhouse Gases Program - Electricity Factors

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

    Voluntary Reporting Program > Coefficients Voluntary Reporting of Greenhouse Gases Program (Voluntary Reporting of Greenhouse Gases Program Fuel Carbon Dioxide Emission Coefficients) Voluntary Reporting of Greenhouse Gases Program Fuel Emission Coefficients Table 1: Carbon Dioxide Emission Factors for Stationary Combustion Table 2: Carbon Dioxide Emission Factors for Transportation Fuels Table 3: Generic Methane and Nitrous Oxide Emission Factors for Stationary Fuel Combustion Table 4:

  18. Human Factors Aspects of Operating Small Reactors

    SciTech Connect (OSTI)

    OHara, J.M.; Higgins, J.; Deem, R.; Xing, J.; DAgostino, A.

    2010-11-07

    The nuclear-power community has reached the stage of proposing advanced reactor designs to support power generation for decades to come. They are considering small modular reactors (SMRs) as one approach to meet these energy needs. While the power output of individual reactor modules is relatively small, they can be grouped to produce reactor sites with different outputs. Also, they can be designed to generate hydrogen, or to process heat. Many characteristics of SMRs are quite different from those of current plants, and so may require a concept of operations (ConOps) that also is different. The U.S. Nuclear Regulatory Commission (NRC) has begun examining the human factors engineering- (HFE) and ConOps- aspects of SMRs; if needed, they will formulate guidance to support SMR licensing reviews. We developed a ConOps model, consisting of the following dimensions: Plant mission; roles and responsibilities of all agents; staffing, qualifications, and training; management of normal operations; management of off-normal conditions and emergencies; and, management of maintenance and modifications. We are reviewing information on SMR design to obtain data about each of these dimensions, and have identified several preliminary issues. In addition, we are obtaining operations-related information from other types of multi-module systems, such as refineries, to identify lessons learned from their experience. Here, we describe the project's methodology and our preliminary findings.

  19. Confinement and the safety factor profile

    SciTech Connect (OSTI)

    Batha, S.H.; Levinton, F.M.; Scott, S.D.

    1995-12-01

    The conjecture that the safety factor profile, q(r), controls the improvement in tokamak plasmas from poor confinement in the Low (L-) mode regime to improved confinement in the supershot regime has been tested in two experiments on the Tokamak Fusion Test Reactor (TFTR). First, helium was puffed into the beam-heated phase of a supershot discharge which induced a degradation from supershot to L-mode confinement in about 100 msec, far less than the current relaxation time. The q and shear profiles measured by a motional Stark effect polarimeter showed little change during the confinement degradation. Second, rapid current ramps in supershot plasmas altered the q profile, but were observed not to change significantly the energy confinement. Thus, enhanced confinement in supershot plasmas is not due to a particular q profile which has enhanced stability or transport properties. The discharges making a continuous transition between supershot and L-mode confinement were also used to test the critical-electron-temperature-gradient transport model. It was found that this model could not reproduce the large changes in electron and ion temperature caused by the change in confinement.

  20. LPS-inducible factor(s) from activated macrophages mediates cytolysis of Naegleria fowleri amoebae

    SciTech Connect (OSTI)

    Cleary, S.F.; Marciano-Cabral, F.

    1986-03-01

    Soluble cytolytic factors of macrophage origin have previously been described with respect to their tumoricidal activity. The purpose of this study was to investigate the mechanism and possible factor(s) responsible for cytolysis of the amoeba Naegleria fowleri by activated peritoneal macrophages from B6C3F1 mice. Macrophages or conditioned medium (CM) from macrophage cultures were incubated with /sup 3/H-Uridine labeled amoebae. Percent specific release of label served as an index of cytolysis. Bacille Calmette-Guerin (BCG) and Corynebacterium parvum macrophages demonstrated significant cytolysis of amoebae at 24 h with an effector to target ratio of 10:1. Treatment of macrophages with inhibitors of RNA or protein synthesis blocked amoebicidal activity. Interposition of a 1 ..mu..m pore membrane between macrophages and amoebae inhibited killing. Inhibition in the presence of the membrane was overcome by stimulating the macrophages with LPS. CM from SPS-stimulated, but not unstimulated, cultures of activated macrophages was cytotoxic for amoebae. The activity was heat sensitive and was recovered from ammonium sulfate precipitation of the CM. Results indicate that amoebicidal activity is mediated by a protein(s) of macrophage origin induced by target cell contact or stimulation with LPS.

  1. Nominal Performance Biosphere Dose Conversion Factor Analysis

    SciTech Connect (OSTI)

    Wasiolek, Maryla A.

    2000-12-21

    The purpose of this report was to document the process leading to development of the Biosphere Dose Conversion Factors (BDCFs) for the postclosure nominal performance of the potential repository at Yucca Mountain. BDCF calculations concerned twenty-four radionuclides. This selection included sixteen radionuclides that may be significant nominal performance dose contributors during the compliance period of up to 10,000 years, five additional radionuclides of importance for up to 1 million years postclosure, and three relatively short-lived radionuclides important for the human intrusion scenario. Consideration of radionuclide buildup in soil caused by previous irrigation with contaminated groundwater was taken into account in the BDCF development. The effect of climate evolution, from the current arid conditions to a wetter and cooler climate, on the BDCF values was evaluated. The analysis included consideration of different exposure pathway's contribution to the BDCFs. Calculations of nominal performance BDCFs used the GENII-S computer code in a series of probabilistic realizations to propagate the uncertainties of input parameters into the output. BDCFs for the nominal performance, when combined with the concentrations of radionuclides in groundwater allow calculation of potential radiation doses to the receptor of interest. Calculated estimates of radionuclide concentration in groundwater result from the saturated zone modeling. The integration of the biosphere modeling results (BDCFs) with the outcomes of the other component models is accomplished in the Total System Performance Assessment (TSPA) to calculate doses to the receptor of interest from radionuclides postulated to be released to the environment from the potential repository at Yucca Mountain.

  2. Dose factor entry and display tool for BNCT radiotherapy

    DOE Patents [OSTI]

    Wessol, Daniel E. (Bozeman, MT); Wheeler, Floyd J. (Idaho Falls, ID); Cook, Jeremy L. (Greeley, CO)

    1999-01-01

    A system for use in Boron Neutron Capture Therapy (BNCT) radiotherapy planning where a biological distribution is calculated using a combination of conversion factors and a previously calculated physical distribution. Conversion factors are presented in a graphical spreadsheet so that a planner can easily view and modify the conversion factors. For radiotherapy in multi-component modalities, such as Fast-Neutron and BNCT, it is necessary to combine each conversion factor component to form an effective dose which is used in radiotherapy planning and evaluation. The Dose Factor Entry and Display System is designed to facilitate planner entry of appropriate conversion factors in a straightforward manner for each component. The effective isodose is then immediately computed and displayed over the appropriate background (e.g. digitized image).

  3. QCD Factorization for heavy quarkonium production at collider energies

    Office of Scientific and Technical Information (OSTI)

    (Journal Article) | SciTech Connect QCD Factorization for heavy quarkonium production at collider energies Citation Details In-Document Search Title: QCD Factorization for heavy quarkonium production at collider energies In this talk, I briefly review several models of the heavy quarkonium production at collider energies, and discuss the status of QCD factorization for these production models. Authors: Qiu Jianwei [1] ; Physics Department, Brookhaven National Laboratory, Upton, New York

  4. Factors Affecting PMU Installation Costs (October 2014) | Department of

    Energy Savers [EERE]

    Energy Factors Affecting PMU Installation Costs (October 2014) Factors Affecting PMU Installation Costs (October 2014) The Department of Energy investigated the major cost factors that affected PMU installation costs for the synchrophasor projects funded through the Recovery Act Smart Grid Programs. The data was compiled through interviews with the nine projects that deployed production grade synchrophasor systems. The study found that while the costs associated with PMUs as stand-alone

  5. Human Factors Engineering Analysis Tool - Energy Innovation Portal

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

    Human Factors Engineering Analysis Tool Software tool that enables easy and quick selection of applicable regulatory guidelines as starting point for human factors engineering (HFE) analyses Savannah River National Laboratory Contact SRNL About This Technology Technology Marketing Summary A new software tool enables the easy and quick selection of applicable regulatory guidelines as a starting point for human factors engineering (HFE) analyses. Once selected, each guideline can be viewed on

  6. Test of factorization in diffractive deep inelastic scattering and

    Office of Scientific and Technical Information (OSTI)

    photoproduction at HERA (Journal Article) | SciTech Connect Test of factorization in diffractive deep inelastic scattering and photoproduction at HERA Citation Details In-Document Search Title: Test of factorization in diffractive deep inelastic scattering and photoproduction at HERA The QCD factorization theorem in diffraction is tested by comparing diffractive jet production data to QCD predictions based on fits to inclusive diffractive cross section data. H1 measured dijet production with

  7. Theory of factors limiting high gradient operation of warm accelerating

    Office of Scientific and Technical Information (OSTI)

    structures (Technical Report) | SciTech Connect Theory of factors limiting high gradient operation of warm accelerating structures Citation Details In-Document Search Title: Theory of factors limiting high gradient operation of warm accelerating structures This final report summarizes the research performed during the time period from 8/1/2010 to 7/31/2013. It consists of two parts describing our studies in two directions: (a) analysis of factors limiting operation of dielectric-loaded

  8. Major Risk Factors to the Integrated Facility Disposition Project |

    Energy Savers [EERE]

    Department of Energy to the Integrated Facility Disposition Project Major Risk Factors to the Integrated Facility Disposition Project The scope of the Integrated Facility Disposition Project (IFDP) needs to comprehensively address a wide range of environmental management risks at the Oak Ridge Reservation (ORO). PDF icon Major Risk Factors to the Integrated Facility Disposition Project More Documents & Publications Major Risk Factors Integrated Facility Disposition Project - Oak Ridge

  9. EPA Rainfall Erosivity Factor Calculator Website | Open Energy...

    Open Energy Info (EERE)

    Calculator Website Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: EPA Rainfall Erosivity Factor Calculator Website Abstract This website allows...

  10. Crystal structure of elongation factor 4 bound to a clockwise...

    Office of Scientific and Technical Information (OSTI)

    Search Title: Crystal structure of elongation factor 4 bound to a clockwise ratcheted ribosome Authors: Gagnon, Matthieu G. ; Lin, Jinzhong ; Bulkley, David ; Steitz, Thomas A. ...

  11. EPA - Rainfall Erosivity Factor Calculator webpage | Open Energy...

    Open Energy Info (EERE)

    Not Provided DOI Not Provided Check for DOI availability: http:crossref.org Online Internet link for EPA - Rainfall Erosivity Factor Calculator webpage Citation Environmental...

  12. QCD Factorization for heavy quarkonium production at collider...

    Office of Scientific and Technical Information (OSTI)

    Title: QCD Factorization for heavy quarkonium production at collider energies In this talk, I briefly review several models of the heavy quarkonium production at collider energies, ...

  13. Development of the Electricity Carbon Emission Factors for Russia...

    Open Energy Info (EERE)

    Russia Jump to: navigation, search Name Development of the Electricity Carbon Emission Factors for Russia AgencyCompany Organization European Bank for Reconstruction and...

  14. Factors Affecting HCCI Combustion Phasing for Fuels with Single...

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

    Affecting HCCI Combustion Phasing for Fuels with Single- and Dual-Stage Chemistry Factors Affecting HCCI Combustion Phasing for Fuels with Single- and Dual-Stage Chemistry 2004 ...

  15. Analytical evaluation of atomic form factors: Application to Rayleigh scattering

    SciTech Connect (OSTI)

    Safari, L.; Santos, J. P.; Amaro, P.; Jnkl, K.; Fratini, F.

    2015-05-15

    Atomic form factors are widely used for the characterization of targets and specimens, from crystallography to biology. By using recent mathematical results, here we derive an analytical expression for the atomic form factor within the independent particle model constructed from nonrelativistic screened hydrogenic wave functions. The range of validity of this analytical expression is checked by comparing the analytically obtained form factors with the ones obtained within the Hartee-Fock method. As an example, we apply our analytical expression for the atomic form factor to evaluate the differential cross section for Rayleigh scattering off neutral atoms.

  16. Factors Impacting EGR Cooler Fouling - Main Effects and Interactions...

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

    Impacting EGR Cooler Fouling - Main Effects and Interactions Factors Impacting EGR Cooler Fouling - Main Effects and Interactions Presentation given at the 16th Directions in...

  17. Electromagnetic form factors and the hypercentral constituent quark model

    SciTech Connect (OSTI)

    Sanctis, M. De; Giannini, M. M.; Santopinto, E.; Vassallo, A.

    2007-12-15

    We present new results concerning the electromagnetic form factors of the nucleon using a relativistic version of the hypercentral constituent quark model and a relativistic current.

  18. Method for determining formation quality factor from well log...

    Office of Scientific and Technical Information (OSTI)

    well log data and its application to seismic reservoir characterization Citation Details In-Document Search Title: Method for determining formation quality factor from well log ...

  19. An extracytoplasmic function sigma factor-dependent periplasmic...

    Office of Scientific and Technical Information (OSTI)

    for survival and Shewanella harbors multiple ECF (extracytoplasmic function) genes and cognate anti-sigma factor genes. Here we comparatively analyzed two of the...

  20. Scaling factor inconsistencies in neutrinoless double beta decay

    SciTech Connect (OSTI)

    Cowell, S. [Theoretical Division, Los Alamos National Laboratory, Los Alamos, New Mexico 87545 (United States)

    2006-02-15

    The modern theory of neutrinoless double beta decay includes a scaling factor that has often been treated inconsistently in the literature. The nuclear contribution to the decay half-life can be suppressed by 15%-20% when scaling factors are mismatched. Correspondingly, is overestimated.

  1. Consideration of Factors Affecting Strip Effluent PH and Sodium Content

    SciTech Connect (OSTI)

    Peters, T.

    2015-07-29

    A number of factors were investigated to determine possible reasons for why the Strip Effluent (SE) can sometimes have higher than expected pH values and/or sodium content, both of which have prescribed limits. All of the factors likely have some impact on the pH values and Na content.

  2. Lifestyle Factors in U.S. Residential Electricity Consumption

    SciTech Connect (OSTI)

    Sanquist, Thomas F.; Orr, Heather M.; Shui, Bin; Bittner, Alvah C.

    2012-03-30

    A multivariate statistical approach to lifestyle analysis of residential electricity consumption is described and illustrated. Factor analysis of selected variables from the 2005 U.S. Residential Energy Consumption Survey (RECS) identified five lifestyle factors reflecting social and behavioral choices associated with air conditioning, laundry usage, personal computer usage, climate zone of residence, and TV use. These factors were also estimated for 2001 RECS data. Multiple regression analysis using the lifestyle factors yields solutions accounting for approximately 40% of the variance in electricity consumption for both years. By adding the associated household and market characteristics of income, local electricity price and access to natural gas, variance accounted for is increased to approximately 54%. Income contributed only {approx}1% unique variance to the 2005 and 2001 models, indicating that lifestyle factors reflecting social and behavioral choices better account for consumption differences than income. This was not surprising given the 4-fold range of energy use at differing income levels. Geographic segmentation of factor scores is illustrated, and shows distinct clusters of consumption and lifestyle factors, particularly in suburban locations. The implications for tailored policy and planning interventions are discussed in relation to lifestyle issues.

  3. Using partial safety factors in wind turbine design and testing

    SciTech Connect (OSTI)

    Musial, W.D.; Butterfield, C.

    1997-09-01

    This paper describes the relationship between wind turbine design and testing in terms of the certification process. An overview of the current status of international certification is given along with a description of limit-state design basics. Wind turbine rotor blades are used to illustrate the principles discussed. These concepts are related to both International Electrotechnical Commission and Germanischer Lloyd design standards, and are covered using schematic representations of statistical load and material strength distributions. Wherever possible, interpretations of the partial safety factors are given with descriptions of their intended meaning. Under some circumstances, the authors` interpretations may be subjective. Next, the test-load factors are described in concept and then related to the design factors. Using technical arguments, it is shown that some of the design factors for both load and materials must be used in the test loading, but some should not be used. In addition, some test factors not used in the design may be necessary for an accurate test of the design. The results show that if the design assumptions do not clearly state the effects and uncertainties that are covered by the design`s partial safety factors, outside parties such as test labs or certification agencies could impose their own meaning on these factors.

  4. Dual chain synthetic heparin-binding growth factor analogs

    DOE Patents [OSTI]

    Zamora, Paul O.; Pena, Louis A.; Lin, Xinhua

    2009-10-06

    The invention provides synthetic heparin-binding growth factor analogs having two peptide chains each branched from a branch moiety, such as trifunctional amino acid residues, the branch moieties separated by a first linker of from 3 to about 20 backbone atoms, which peptide chains bind a heparin-binding growth factor receptor and are covalently bound to a non-signaling peptide that includes a heparin-binding domain, preferably by a second linker, which may be a hydrophobic second linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

  5. Dual chain synthetic heparin-binding growth factor analogs

    DOE Patents [OSTI]

    Zamora, Paul O.; Pena, Louis A.; Lin, Xinhua

    2012-04-24

    The invention provides synthetic heparin-binding growth factor analogs having two peptide chains each branched from a branch moiety, such as trifunctional amino acid residues, the branch moieties separated by a first linker of from 3 to about 20 backbone atoms, which peptide chains bind a heparin-binding growth factor receptor and are covalently bound to a non-signaling peptide that includes a heparin-binding domain, preferably by a second linker, which may be a hydrophobic second linker. The synthetic heparin-binding growth factor analogs are useful as pharmaceutical agents, soluble biologics or as surface coatings for medical devices.

  6. The structure of the nucleon: Elastic electromagnetic form factors

    SciTech Connect (OSTI)

    Punjabi, V.; Perdrisat, C. F.; Jones, M. K.; Brash, E. J.; Carlson, C. E.

    2015-07-10

    Precise proton and neutron form factor measurements at Jefferson Lab, using spin observables, have recently made a significant contribution to the unraveling of the internal structure of the nucleon. Accurate experimental measurements of the nucleon form factors are a test-bed for understanding how the nucleon's static properties and dynamical behavior emerge from QCD, the theory of the strong interactions between quarks. There has been enormous theoretical progress, since the publication of the Jefferson Lab proton form factor ratio data, aiming at reevaluating the picture of the nucleon. We will review the experimental and theoretical developments in this field and discuss the outlook for the future.

  7. Property:Geothermal/LoadFactor | Open Energy Information

    Open Energy Info (EERE)

    to: navigation, search This is a property of type Number. Pages using the property "GeothermalLoadFactor" Showing 25 pages using this property. (previous 25) (next 25) 4 4 UR...

  8. Factors Controlling The Geochemical Evolution Of Fumarolic Encrustatio...

    Open Energy Info (EERE)

    Smokes (VTTS). The six-factor solution model explains a large proportion (low of 74% for Ni to high of 99% for Si) of the individual element data variance. Although the primary...

  9. CDPHE Construction Storm Water Forms R-Factor Waiver Application...

    Open Energy Info (EERE)

    CDPHE Construction Storm Water Forms R-Factor Waiver Application Jump to: navigation, search OpenEI Reference LibraryAdd to library Legal Document- Permit ApplicationPermit...

  10. Phenomenology of semileptonic B -meson decays with form factors...

    Office of Scientific and Technical Information (OSTI)

    of semileptonic B -meson decays with form factors from lattice QCD Authors: Du, Daping ; El-Khadra, A. X. ; Gottlieb, Steven ; Kronfeld, A. S. ; Laiho, J. ; Lunghi, E. ; Van de...

  11. On the Consistency of QCBED Structure Factor Measurements for...

    Office of Scientific and Technical Information (OSTI)

    for bond-charge mapping. The standard deviation in the resulting distribution of derived X-ray structure factors is found to be an order of magnitude smaller than that in...

  12. Table 5.8. U.S. Vehicle Fuel Consumption by Family Income, 1994

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

    and 1994 Vehicle Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  13. Table 5.10. U.S. Average Vehicle Fuel Consumption by Family...

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

    1993 Household Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  14. Table 5.9. U.S. Average Vehicle-Miles Traveled by Family Income...

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

    1993 Household Characteristics RSE Column Factor: Total 1993 Family Income Below Poverty Line Eli- gible for Fed- eral Assist- ance 1 RSE Row Factor: Less than 5,000 5,000...

  15. Charm and bottom hadronic form factors with QCD sum rules

    SciTech Connect (OSTI)

    Bracco, M. E.; Rodrigues, B. O.; Cerqueira, A. Jr.

    2013-03-25

    We present a brief review of some calculations of form factors and coupling constants in vertices with charm and bottom mesons in the framework of QCD sum rules. We first discuss the motivation for this work, describing possible applications of these form factors to charm and bottom decays processes. We first make a summarize of the QCD sum rules method. We give special attention to the uncertainties of the method introducing by the intrinsic variation of the parameters. Finally we conclude.

  16. Article Published on LED Lumen Maintenance and Light Loss Factors

    Broader source: Energy.gov [DOE]

    An article has been published in LEUKOS: The Journal of the Illuminating Engineering Society of North America (IES) that may be of interest to the solid-state lighting community. Entitled "Lumen Maintenance and Light Loss Factors: Consequences of Current Design Practices for LEDs," the article was written by Michael Royer of Pacific Northwest National Laboratory and discusses complications related to the lamp lumen depreciation (LLD) light loss factor and LEDs.

  17. Nonrelativistic QCD factorization and the velocity dependence of NNLO poles

    Office of Scientific and Technical Information (OSTI)

    in heavy quarkonium production (Journal Article) | SciTech Connect Nonrelativistic QCD factorization and the velocity dependence of NNLO poles in heavy quarkonium production Citation Details In-Document Search Title: Nonrelativistic QCD factorization and the velocity dependence of NNLO poles in heavy quarkonium production We study the transition of a heavy quark pair from octet to singlet color configurations at next-to-next-to-leading order in heavy quarkonium production. We show that the

  18. Phenylimidazoles as Potent and Selective Inhibitors of Coagulation Factor

    Office of Scientific and Technical Information (OSTI)

    XIa with in Vivo Antithrombotic Activity (Journal Article) | SciTech Connect Phenylimidazoles as Potent and Selective Inhibitors of Coagulation Factor XIa with in Vivo Antithrombotic Activity Citation Details In-Document Search Title: Phenylimidazoles as Potent and Selective Inhibitors of Coagulation Factor XIa with in Vivo Antithrombotic Activity Authors: Hangeland, Jon J. ; Friends, Todd J. ; Rossi, Karen A. ; Smallheer, Joanne M. ; Wang, Cailan ; Sun, Zhong ; Corte, James R. ; Fang,

  19. Key factors for determining groundwater impacts due to leakage from

    Office of Scientific and Technical Information (OSTI)

    geologic carbon sequestration reservoirs (Journal Article) | SciTech Connect Journal Article: Key factors for determining groundwater impacts due to leakage from geologic carbon sequestration reservoirs Citation Details In-Document Search Title: Key factors for determining groundwater impacts due to leakage from geologic carbon sequestration reservoirs The National Risk Assessment Partnership (NRAP) is developing a science-based toolset for the analysis of potential impacts to groundwater

  20. Is the proton electromagnetic form factor modified in nuclei? (Conference)

    Office of Scientific and Technical Information (OSTI)

    | SciTech Connect SciTech Connect Search Results Conference: Is the proton electromagnetic form factor modified in nuclei? Citation Details In-Document Search Title: Is the proton electromagnetic form factor modified in nuclei? Guided by the recent experimental confirmation of the validity of the Effective Momentum Approximation (EMA) in quasi-elastic scattering off nuclei, we have re-examined the extraction of the Longitudinal and Transverse Response Functions in medium-weight and heavy

  1. Is the proton electromagnetic form factor modified in nuclei? (Conference)

    Office of Scientific and Technical Information (OSTI)

    | SciTech Connect Is the proton electromagnetic form factor modified in nuclei? Citation Details In-Document Search Title: Is the proton electromagnetic form factor modified in nuclei? × You are accessing a document from the Department of Energy's (DOE) SciTech Connect. This site is a product of DOE's Office of Scientific and Technical Information (OSTI) and is provided as a public service. Visit OSTI to utilize additional information resources in energy science and technology. A paper copy

  2. Structural basis for Tetrahymena telomerase processivity factor Teb1

    Office of Scientific and Technical Information (OSTI)

    binding to single-stranded telomeric-repeat DNA (Journal Article) | SciTech Connect SciTech Connect Search Results Journal Article: Structural basis for Tetrahymena telomerase processivity factor Teb1 binding to single-stranded telomeric-repeat DNA Citation Details In-Document Search Title: Structural basis for Tetrahymena telomerase processivity factor Teb1 binding to single-stranded telomeric-repeat DNA Authors: Zeng, Zhixiong ; Min, Bosun ; Huang, Jing ; Hong, Kyungah ; Yang, Yuting ;

  3. Classical strongly coupled quark-gluon plasma. V. Structure factors

    SciTech Connect (OSTI)

    Cho, Sungtae; Zahed, Ismail

    2010-10-15

    We show that the classical and strongly coupled quark-gluon plasma is characterized by a multiple of structure factors that obey generalized Orstein-Zernicke equations. We use the canonical partition function and its associated density functional to derive analytical equations for the density and charge monopole structure factors for arbitrary values of {Gamma}=V/K, the ratio of the mean potential to the Coulomb energy. The results are compared with SU(2) molecular dynamics simulations.

  4. Factors Impacting EGR Cooler Fouling - Main Effects and Interactions |

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

    Department of Energy Impacting EGR Cooler Fouling - Main Effects and Interactions Factors Impacting EGR Cooler Fouling - Main Effects and Interactions Presentation given at the 16th Directions in Engine-Efficiency and Emissions Research (DEER) Conference in Detroit, MI, September 27-30, 2010. PDF icon deer10_styles.pdf More Documents & Publications Identification and Control of Factors that Affect EGR Cooler Fouling The Impact of PM and HC on EGR Cooler Fouling EGR Cooler Fouling -

  5. Structural basis of JAZ repression of MYC transcription factors in

    Office of Scientific and Technical Information (OSTI)

    jasmonate signalling (Journal Article) | SciTech Connect Structural basis of JAZ repression of MYC transcription factors in jasmonate signalling Citation Details In-Document Search Title: Structural basis of JAZ repression of MYC transcription factors in jasmonate signalling Authors: Zhang, Feng ; Yao, Jian ; Ke, Jiyuan ; Zhang, Li ; Lam, Vinh Q. ; Xin, Xiu-Fang ; Zhou, X. Edward ; Chen, Jian ; Brunzelle, Joseph ; Griffin, Patrick R. ; Zhou, Mingguo ; Xu, H. Eric ; Melcher, Karsten ; He ,

  6. Tetrahydroquinoline Derivatives as Potent and Selective Factor XIa

    Office of Scientific and Technical Information (OSTI)

    Inhibitors (Journal Article) | SciTech Connect Tetrahydroquinoline Derivatives as Potent and Selective Factor XIa Inhibitors Citation Details In-Document Search Title: Tetrahydroquinoline Derivatives as Potent and Selective Factor XIa Inhibitors Authors: Quan, Mimi L. ; Wong, Pancras C. ; Wang, Cailan ; Woerner, Francis ; Smallheer, Joanne M. ; Barbera, Frank A. ; Bozarth, Jeffrey M. ; Brown, Randi L. ; Harpel, Mark R. ; Luettgen, Joseph M. ; Morin, Paul E. ; Peterson, Tara ; Ramamurthy,

  7. Constructing the S-matrix With Complex Factorization

    SciTech Connect (OSTI)

    Schuster, Philip C.; Toro, Natalia; /Stanford U., ITP

    2009-06-19

    A remarkable connection between BCFW recursion relations and constraints on the S-matrix was made by Benincasa and Cachazo in 0705.4305, who noted that mutual consistency of different BCFW constructions of four-particle amplitudes generates nontrivial (but familiar) constraints on three-particle coupling constants - these include gauge invariance, the equivalence principle, and the lack of non-trivial couplings for spins > 2. These constraints can also be derived with weaker assumptions, by demanding the existence of four-point amplitudes that factorize properly in all unitarity limits with complex momenta. From this starting point, we show that the BCFW prescription can be interpreted as an algorithm for fully constructing a tree-level S-matrix, and that complex factorization of general BCFW amplitudes follows from the factorization of four-particle amplitudes. The allowed set of BCFW deformations is identified, formulated entirely as a statement on the three-particle sector, and using only complex factorization as a guide. Consequently, our analysis based on the physical consistency of the S-matrix is entirely independent of field theory. We analyze the case of pure Yang-Mills, and outline a proof for gravity. For Yang-Mills, we also show that the well-known scaling behavior of BCFW-deformed amplitudes at large z is a simple consequence of factorization. For gravity, factorization in certain channels requires asymptotic behavior {approx} 1/z{sup 2}.

  8. Cosmic Reionization On Computers III. The Clumping Factor

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

    Kaurov, Alexander A.; Gnedin, Nickolay Y.

    2015-09-09

    We use fully self-consistent numerical simulations of cosmic reionization, completed under the Cosmic Reionization On Computers project, to explore how well the recombinations in the ionized intergalactic medium (IGM) can be quantified by the effective "clumping factor." The density distribution in the simulations (and, presumably, in a real universe) is highly inhomogeneous and more-or-less smoothly varying in space. However, even in highly complex and dynamic environments, the concept of the IGM remains reasonably well-defined; the largest ambiguity comes from the unvirialized regions around galaxies that are over-ionized by the local enhancement in the radiation field ("proximity zones"). This ambiguity precludesmore » computing the IGM clumping factor to better than about 20%. Furthermore, we discuss a "local clumping factor," defined over a particular spatial scale, and quantify its scatter on a given scale and its variation as a function of scale.« less

  9. Selection of powder factor in large diameter blastholes

    SciTech Connect (OSTI)

    Eloranta, J.

    1995-12-31

    This paper documents the relationship between material handling and processing costs compared to blasting cost. The old adage, The cheapest crushing is done in the pit, appears accurate in this case study. Comparison of the accumulated cost of: powder, selected wear materials and electricity; indicate a strong, inverse correlation with powder factor (lbs powder/long ton of rock). In this case, the increased powder cost is more than offset by electrical savings alone. Measurable, overall costs decline while shovel and crusher productivity rise by about 5% when powder factor rises by 15%. These trends were previously masked by the effects of: weather, ore grade fluctuations and accounting practices. Attempts to correlate increased powder factor to: wear materials in the crushing plant and to shovel hoist rope life have not shown the same benefit.

  10. The structure of the nucleon: Elastic electromagnetic form factors

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

    Punjabi, V.; Perdrisat, C. F.; Jones, M. K.; Brash, E. J.; Carlson, C. E.

    2015-07-10

    Precise proton and neutron form factor measurements at Jefferson Lab, using spin observables, have recently made a significant contribution to the unraveling of the internal structure of the nucleon. Accurate experimental measurements of the nucleon form factors are a test-bed for understanding how the nucleon's static properties and dynamical behavior emerge from QCD, the theory of the strong interactions between quarks. There has been enormous theoretical progress, since the publication of the Jefferson Lab proton form factor ratio data, aiming at reevaluating the picture of the nucleon. We will review the experimental and theoretical developments in this field and discussmore » the outlook for the future.« less

  11. Factors Affecting Power Output by Photovoltaic Cells Lesson

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

    Suzanne McClung Unit Title: Option C: Energy Subject: Chemistry Lesson Title: Factors Affecting Power Output by Photovoltaic Cells Grade Level(s): IB 2 (Senior - 3 rd year of chemistry) Lesson Length: 2-90 minute blocks with 30 minutes for wrap up in a 3 rd class period Date(s): * Learning Goals o Students will make observations of voltage and current in a solar panel system o Students will calculate power of a solar panel system o Students will determine the effect of a factor on the power

  12. Greybody factors for MyersPerry black holes

    SciTech Connect (OSTI)

    Boonserm, Petarpa; Chatrabhuti, Auttakit Ngampitipan, Tritos; Visser, Matt

    2014-11-15

    The MyersPerry black holes are higher-dimensional generalizations of the usual (3+1)-dimensional rotating Kerr black hole. They are of considerable interest in KaluzaKlein models, specifically within the context of brane-world versions thereof. In the present article, we shall consider the greybody factors associated with scalar field excitations of the MyersPerry spacetimes, and develop some rigorous bounds on these greybody factors. These bounds are of relevance for characterizing both the higher-dimensional Hawking radiation, and the super-radiance, that is expected for these spacetimes.

  13. Critical Factors Driving the High Volumetric Uptake of Methane in

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

    Cu-3(btc)(2) | Center for Gas SeparationsRelevant to Clean Energy Technologies | Blandine Jerome Critical Factors Driving the High Volumetric Uptake of Methane in Cu-3(btc)(2) Previous Next List Hulvey, Zeric; Vlaisavljevich, Bess; Mason, Jarad A.; Tsivion, Ehud; Dougherty, Timothy P.; Bloch, Eric D.; Head-Gordon, Martin; Smit, Berend; Long, Jeffrey R.; Brown, Craig M. Critical Factors Driving the High Volumetric Uptake of Methane in Cu-3(btc)(2). J. Amer. Chem. Soc., 137, 10816-10825

  14. File:App Misc Easement ROW.pdf | Open Energy Information

    Open Energy Info (EERE)

    file size: 1.54 MB, MIME type: applicationpdf, 4 pages) File history Click on a datetime to view the file as it appeared at that time. DateTime Thumbnail Dimensions User...

  15. Microsoft PowerPoint - 6_Rowe-Future Challenges for Global Fuel...

    National Nuclear Security Administration (NNSA)

    International Atomic Energy Agency (IAEA), Nuclear Fuel Cycle Information System (NFCIS) web site IAEA Safeguards Begins Here 4 Future Challenges for Global Fuel Cycle Material...

  16. File:Guidelines-for-leasing-row-tracts.pdf | Open Energy Information

    Open Energy Info (EERE)

    this file. Metadata This file contains additional information, probably added from the digital camera or scanner used to create or digitize it. If the file has been modified from...

  17. Fact #777: April 29, 2013 For the Second Year in a Row, Survey...

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

    Year Fuel Economy Dependability Low Price Quality Safety 1980 42% 31% 14% 4% 9% 100% 1981 20% 40% 21% 7% 12% 100% 1983 13% 38% 30% 11% 9% 101% 1985 8% 41% 29% 12% 10% 100% 1987 4% ...

  18. Self-organization of S adatoms on Au(111): √3R30° rows at...

    Office of Scientific and Technical Information (OSTI)

    This content will become publicly available on July 6, 2016 Title: Self-organization of S ... will become publicly available on July 6, 2016 Publisher's Version of Record 10.1063...

  19. DOE ZERH Case Study: New Town Builders, Town Homes at Perrin's Row, Wheat Ridge, CO

    SciTech Connect (OSTI)

    none,

    2015-09-01

    Case study of a DOE 2015 Housing Innovation Award winning multifamily project with 26 units in the cold climate that got a HERS 54 without PV, or HERS 28 with PV, with 2x6 24” on center walls with R-23 blown fiberglass; slab foundation with R-10 rigid at slab edge; plus R-10 rigid exterior; R-22 ICF basement walls; vented attic with R-50 blown fiberglass; 92 AFUE furnace, 13 SEER AC.

  20. UPDATING THE NRC GUIDANCE FOR HUMAN FACTORS ENGINEERING REVIEWS.

    SciTech Connect (OSTI)

    O HARA,J.M.; BROWN,W.S.; HIGGINS,J.C.; PERSENSKY,J.J.; LEWIS,P.M.; BONGARRA,J.

    2002-09-15

    The U.S. Nuclear Regulatory Commission (NRC) reviews the human factors engineering (HFE) aspects of nuclear plants. NUREG-0800 (Standard Review Plan), Chapter 18, ''Human Factors Engineering,'' is the principal NRC staff guidance document. Two main documents provide the review criteria to support the evaluations. The HFE Program Review Model (NUREG-0711) addresses the design process from planning to verification and validation to design implementation. The Human-System Interface Design Review Guidelines (NUREG-0700) provides the guidelines for the review of the HFE aspects of human-system interface technology, such as alarms, information systems, controls, and control room design. Since these documents were published in 1994 and 1996 respectively, they have been used by NRC staff, contractors, nuclear industry organizations, as well as by numerous organizations outside the nuclear industry. Using feedback from users and NRC research conducted in recent years, both documents have been revised and updated. This was done to ensure that they remain state-of-the-art evaluation tools for changing nuclear industry issues and emerging technologies. This paper describes the methodology used to revise and update the documents and summarizes the changes made to each and their current contents. Index Terms for this report are: Control system human factors, Ergonomics, Human factors, Nuclear power generation safety.

  1. Human Factors Evaluation of Advanced Electric Power Grid Visualization Tools

    SciTech Connect (OSTI)

    Greitzer, Frank L.; Dauenhauer, Peter M.; Wierks, Tamara G.; Podmore, Robin

    2009-04-01

    This report describes initial human factors evaluation of four visualization tools (Graphical Contingency Analysis, Force Directed Graphs, Phasor State Estimator and Mode Meter/ Mode Shapes) developed by PNNL, and proposed test plans that may be implemented to evaluate their utility in scenario-based experiments.

  2. The Modern description of semileptonic meson form factors

    SciTech Connect (OSTI)

    Hill, Richard J.

    2006-06-01

    I describe recent advances in our understanding of the hadronic form factors governing semileptonic meson transitions. The resulting framework provides a systematic approach to the experimental data, as a means of extracting precision observables, testing nonperturbative field theory methods, and probing a poorly understood limit of QCD.

  3. Nucleon form factors program with SBS at JLAB

    SciTech Connect (OSTI)

    Wojtsekhowski, Bogdan B.

    2014-12-01

    The physics of the nucleon form factors is the basic part of the Jefferson Laboratory program. We review the achievements of the 6-GeV era and the program with the 12- GeV beam with the SBS spectrometer in Hall A, with a focus on the nucleon ground state properties.

  4. Effect of Environmental Factors on Sulfur Gas Emissions from Drywall

    SciTech Connect (OSTI)

    Maddalena, Randy

    2011-08-20

    Problem drywall installed in U.S. homes is suspected of being a source of odorous and potentially corrosive indoor pollutants. The U.S. Consumer Product Safety Commission's (CPSC) investigation of problem drywall incorporates three parallel tracks: (1) evaluating the relationship between the drywall and reported health symptoms; (2) evaluating the relationship between the drywall and electrical and fire safety issues in affected homes; and (3) tracing the origin and the distribution of the drywall. To assess the potential impact on human health and to support testing for electrical and fire safety, the CPSC has initiated a series of laboratory tests that provide elemental characterization of drywall, characterization of chemical emissions, and in-home air sampling. The chemical emission testing was conducted at Lawrence Berkeley National Laboratory (LBNL). The LBNL study consisted of two phases. In Phase 1 of this study, LBNL tested thirty drywall samples provided by CPSC and reported standard emission factors for volatile organic compounds (VOCs), aldehydes, reactive sulfur gases (RSGs) and volatile sulfur compounds (VSCs). The standard emission factors were determined using small (10.75 liter) dynamic test chambers housed in a constant temperature environmental chamber. The tests were all run at 25 C, 50% relative humidity (RH) and with an area-specific ventilation rate of {approx}1.5 cubic meters per square meter of emitting surface per hour [m{sup 3}/m{sup 2}/h]. The thirty samples that were tested in Phase 1 included seventeen that were manufactured in China in 2005, 2006 and 2009, and thirteen that were manufactured in North America in 2009. The measured emission factors for VOCs and aldehydes were generally low and did not differ significantly between the Chinese and North American drywall. Eight of the samples tested had elevated emissions of volatile sulfur-containing compounds with total RSG emission factors between 32 and 258 micrograms per square meter per hour [{micro}g/m{sup 2}/h]. The dominant sulfur containing compounds in the RSG emission stream were hydrogen sulfide with emission factors between 17-201 {micro}g/m{sup 2}/h, and sulfur dioxide with emission factors between 8-64 {micro}g/m{sup 2}/h. The four highest emitting samples also had a unique signature of VSC emissions including > 40 higher molecular weight sulfur-containing compounds although the emission rate for the VSCs was several orders of magnitude lower than that of the RSGs. All of the high emitting drywall samples were manufactured in China in 2005-2006. Results from Phase 1 provided baseline emission factors for drywall samples manufactured in China and in North America but the results exclude variations in environmental conditions that may exist in homes or other built structures, including various combinations of temperature, RH, ventilation rate and the influence of coatings such as texture and paints. The objective of Phase 2 was to quantify the effect of temperature and RH on the RSG emission factors for uncoated drywall, and to measure the effect of plaster and paint coatings on RSG emission factors from drywall. Additional experiments were also performed to assess the influence of ventilation rate on measured emission factors for drywall.

  5. DOE Order 458.1 Property Clearance Requirements and Factors Considered...

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

    and Factors Considered to Update Its Clearance Limits DOE Order 458.1 Property Clearance Requirements and Factors Considered to Update Its Clearance Limits Carlos Corredor, ...

  6. Factors driving wind power development in the United States

    SciTech Connect (OSTI)

    Bird, Lori A.; Parsons, Brian; Gagliano, Troy; Brown, Matthew H.; Wiser, Ryan H.; Bolinger, Mark

    2003-05-15

    In the United States, there has been substantial recent growth in wind energy generating capacity, with growth averaging 24 percent annually during the past five years. About 1,700 MW of wind energy capacity was installed in 2001, while another 410 MW became operational in 2002. This year (2003) shows promise of significant growth with more than 1,500 MW planned. With this growth, an increasing number of states are experiencing investment in wind energy projects. Wind installations currently exist in about half of all U.S. states. This paper explores the key factors at play in the states that have achieved a substantial amount of wind energy investment. Some of the factors that are examined include policy drivers, such as renewable portfolio standards (RPS), federal and state financial incentives, and integrated resource planning; as well as market drivers, such as consumer demand for green power, natural gas price volatility, and wholesale market rules.

  7. Performance of non-conventional factorization approaches for neutron kinetics

    SciTech Connect (OSTI)

    Bulla, S.; Nervo, M.

    2013-07-01

    The use of factorization techniques provides a interesting option for the simulation of the time-dependent behavior of nuclear systems with a reduced computational effort. While point kinetics neglects all spatial and spectral effects, quasi-statics and multipoint kinetics allow to produce results with a higher accuracy for transients involving relevant modifications of the neutron distribution. However, in some conditions these methods can not work efficiently. In this paper, we discuss some possible alternative formulations for the factorization process for neutron kinetics, leading to mathematical models of reduced complications that can allow an accurate simulation of transients involving spatial and spectral effects. The performance of these innovative approaches are compared to standard techniques for some test cases, showing the benefits and shortcomings of the method proposed. (authors)

  8. Factors that affect electric-utility stranded commitments

    SciTech Connect (OSTI)

    Hirst, E.; Hadley, S.; Baxter, L.

    1996-07-01

    Estimates of stranded commitments for U.S. investor-owned utilities range widely, with many falling in the range of $100 to $200 billion. These potential losses exist because some utility-owned power plants, long-term power-purchase contracts and fuel-supply contracts, regulatory assets, and expenses for public-policy programs have book values that exceed their expected market values under full competition. This report quantifies the sensitivity of stranded- commitment estimates to the various factors that lead to these above- market-value estimates. The purpose of these sensitivity analyses is to improve understanding on the part of state and federal regulators, utilities, customers, and other electric-industry participants about the relative importance of the factors that affect stranded- commitment amounts.

  9. Measurement of the gamma gamma* -> pi0 transition form factor

    SciTech Connect (OSTI)

    Aubert, B.

    2009-06-02

    We study the reaction e{sup +}e{sup -} {yields} e{sup +}e{sup -}{pi}{sup 0} in the single tag mode and measure the differential cross section d{sigma}/dQ{sup 2} and the {gamma}{gamma}* {yields} {pi}{sup 0} transition form factor in the mometum transfer range from 4 to 40 GeV{sup 2}. At Q{sup 2} > 10 GeV{sup 2} the measured form factor exceeds the asymptotic limit predicted by perturbative QCD. The analysis is based on 442 fb{sup -1} of integrated luminosity collected at PEP-II with the BABAR detector at e{sup +}e{sup -} center-of-mass energies near 10.6 GeV.

  10. Structure of Plasmodium falciparum ADP-ribosylation factor 1

    SciTech Connect (OSTI)

    Cook, William J.; Smith, Craig D.; Senkovich, Olga; Holder, Anthony A.; Chattopadhyay, Debasish

    2011-09-26

    Vesicular trafficking may play a crucial role in the pathogenesis and survival of the malaria parasite. ADP-ribosylation factors (ARFs) are among the major components of vesicular trafficking pathways in eukaryotes. The crystal structure of ARF1 GTPase from Plasmodium falciparum has been determined in the GDP-bound conformation at 2.5 {angstrom} resolution and is compared with the structures of mammalian ARF1s.

  11. Method for determining formation quality factor from seismic data

    DOE Patents [OSTI]

    Taner, M. Turhan; Treitel, Sven

    2005-08-16

    A method is disclosed for calculating the quality factor Q from a seismic data trace. The method includes calculating a first and a second minimum phase inverse wavelet at a first and a second time interval along the seismic data trace, synthetically dividing the first wavelet by the second wavelet, Fourier transforming the result of the synthetic division, calculating the logarithm of this quotient of Fourier transforms and determining the slope of a best fit line to the logarithm of the quotient.

  12. Transcription factors for modification of lignin content in plants

    SciTech Connect (OSTI)

    Wang, Huanzhong; Chen, Fang; Dixon, Richard A.

    2015-06-02

    The invention provides methods for modifying lignin, cellulose, xylan, and hemicellulose content in plants, and for achieving ectopic lignification and, for instance, secondary cell wall synthesis in pith cells, by altered regulation of a WRKY transcription factor. Nucleic acid constructs for altered WRKY-TF expression are described. Transgenic plants are provided that comprise modified pith cell walls, and lignin, cellulose, and hemicellulose content. Plants described herein may be used, for example, as improved biofuel feedstock and as highly digestible forage crops.

  13. Limiting Factors for Convective Cloud Top Height in the Tropics

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

    Limiting Factors for Convective Cloud Top Height in the Tropics M. P. Jensen and A. D. Del Genio National Aeronautics and Space Administration Goddard Institute for Space Studies Columbia University New York, New York Introduction Populations of tropical convective clouds are mainly comprised of three types: shallow trade cumulus, mid-level cumulus congestus and deep convective clouds (Johnson et al. 1999). Each of these cloud types has different impacts on the local radiation and water budgets.

  14. Factors Affecting HCCI Combustion Phasing for Fuels with Single- and

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

    Dual-Stage Chemistry | Department of Energy Affecting HCCI Combustion Phasing for Fuels with Single- and Dual-Stage Chemistry Factors Affecting HCCI Combustion Phasing for Fuels with Single- and Dual-Stage Chemistry 2004 Diesel Engine Emissions Reduction (DEER) Conference Presentation: Sandia National Laboratories PDF icon 2004_deer_dec.pdf More Documents & Publications Microsoft PowerPoint - DEER03-P.ppt HCCI and Stratified-Charge CI Engine Combustion Research Improving Efficiency and

  15. Method for factor analysis of GC/MS data

    DOE Patents [OSTI]

    Van Benthem, Mark H; Kotula, Paul G; Keenan, Michael R

    2012-09-11

    The method of the present invention provides a fast, robust, and automated multivariate statistical analysis of gas chromatography/mass spectroscopy (GC/MS) data sets. The method can involve systematic elimination of undesired, saturated peak masses to yield data that follow a linear, additive model. The cleaned data can then be subjected to a combination of PCA and orthogonal factor rotation followed by refinement with MCR-ALS to yield highly interpretable results.

  16. Human factors engineering report for the cold vacuum drying facility

    SciTech Connect (OSTI)

    IMKER, F.W.

    1999-06-30

    The purpose of this report is to present the results and findings of the final Human Factors Engineering (HFE) technical analysis and evaluation of the Cold Vacuum Drying Facility (CVDF). Ergonomics issues are also addressed in this report, as appropriate. This report follows up and completes the preliminary work accomplished and reported by the Preliminary HFE Analysis report (SNF-2825, Spent Nuclear Fuel Project Cold Vacuum Drying Facility Human Factors Engineering Analysis: Results and Findings). This analysis avoids redundancy of effort except for ensuring that previously recommended HFE design changes have not affected other parts of the system. Changes in one part of the system may affect other parts of the system where those changes were not applied. The final HFE analysis and evaluation of the CVDF human-machine interactions (HMI) was expanded to include: the physical work environment, human-computer interface (HCI) including workstation and software, operator tasks, tools, maintainability, communications, staffing, training, and the overall ability of humans to accomplish their responsibilities, as appropriate. Key focal areas for this report are the process bay operations, process water conditioning (PWC) skid, tank room, and Central Control Room operations. These key areas contain the system safety-class components and are the foundation for the human factors design basis of the CVDF.

  17. Critical success factors in implementing process safety management

    SciTech Connect (OSTI)

    Wilson, D.J. [Chevron USA, Inc., New Orleans, LA (United States)

    1996-08-01

    This paper focuses on several {open_quotes}Critical Success Factors {close_quotes} which will determine how well employees will embrace and utilize the changes being asked of them to implement Process Safety Management (PSM). These success factors are applicable to any change which involves asking employees to perform activities differently than they are currently performing them. This includes changes in work processes (the way we arrange and conduct a set of tasks) or changes in work activities (how we perform individual tasks). Simply developing new work processes and explaining them to employees is not enough to ensure that employees will actually utilize them -- no matter how good these processes are. To ensure successful, complete implementation of Process Safety Management, we must manage the transition from how we perform our work now to how we will perform it after PSM is implemented. Environmental and safety performance improvements, facility reliability and operability increases, and employee effectiveness and productivity gains CAN NOT be achieved until Process Safety Management processes are fully implemented. To successfully implement management of change, mechanical integrity, or any of the other processes in PSM, each of the following critical success factors must be carefully considered and utilized as appropriate. They are: (1) Vision of a Future State, Current State Assessment, and a Detailed Plan to Achieve the Future State, (2) Management Commitment, (3) Ownership by Key Individuals, (4) Justification for Actions, (5) Autonomy to Customize the Process, (6) Feedback Mechanism to Adjust Activities, and (7) Process to Refocus & Redirect Efforts.

  18. Dirac equation in low dimensions: The factorization method

    SciTech Connect (OSTI)

    Snchez-Monroy, J.A.; Quimbay, C.J.

    2014-11-15

    We present a general approach to solve the (1+1) and (2+1)-dimensional Dirac equations in the presence of static scalar, pseudoscalar and gauge potentials, for the case in which the potentials have the same functional form and thus the factorization method can be applied. We show that the presence of electric potentials in the Dirac equation leads to two KleinGordon equations including an energy-dependent potential. We then generalize the factorization method for the case of energy-dependent Hamiltonians. Additionally, the shape invariance is generalized for a specific class of energy-dependent Hamiltonians. We also present a condition for the absence of the Klein paradox (stability of the Dirac sea), showing how Dirac particles in low dimensions can be confined for a wide family of potentials. - Highlights: The low-dimensional Dirac equation in the presence of static potentials is solved. The factorization method is generalized for energy-dependent Hamiltonians. The shape invariance is generalized for energy-dependent Hamiltonians. The stability of the Dirac sea is related to the existence of supersymmetric partner Hamiltonians.

  19. Automatic Blocking Of QR and LU Factorizations for Locality

    SciTech Connect (OSTI)

    Yi, Q; Kennedy, K; You, H; Seymour, K; Dongarra, J

    2004-03-26

    QR and LU factorizations for dense matrices are important linear algebra computations that are widely used in scientific applications. To efficiently perform these computations on modern computers, the factorization algorithms need to be blocked when operating on large matrices to effectively exploit the deep cache hierarchy prevalent in today's computer memory systems. Because both QR (based on Householder transformations) and LU factorization algorithms contain complex loop structures, few compilers can fully automate the blocking of these algorithms. Though linear algebra libraries such as LAPACK provides manually blocked implementations of these algorithms, by automatically generating blocked versions of the computations, more benefit can be gained such as automatic adaptation of different blocking strategies. This paper demonstrates how to apply an aggressive loop transformation technique, dependence hoisting, to produce efficient blockings for both QR and LU with partial pivoting. We present different blocking strategies that can be generated by our optimizer and compare the performance of auto-blocked versions with manually tuned versions in LAPACK, both using reference BLAS, ATLAS BLAS and native BLAS specially tuned for the underlying machine architectures.

  20. Transfer Factors for Contaminant Uptake by Fruit and Nut Trees

    SciTech Connect (OSTI)

    Napier, Bruce A.; Fellows, Robert J.; Minc, Leah D.

    2013-11-20

    Transfer of radionuclides from soils into plants is one of the key mechanisms for long-term contamination of the human food chain. Nearly all computer models that address soil-to-plant uptake of radionuclides use empirically-derived transfer factors to address this process. Essentially all available soil-to-plant transfer factors are based on measurements in annual crops. Because very few measurements are available for tree fruits, samples were taken of alfalfa and oats and the stems, leaves, and fruits and nuts of almond, apple, apricot, carob, fig, grape, nectarine, pecan, pistachio (natural and grafted), and pomegranate, along with local surface soil. The samples were dried, ground, weighed, and analyzed for trace constituents through a combination of induction-coupled plasma mass spectrometry and instrumental neutron activation analysis for a wide range of naturally-occurring elements. Analysis results are presented and converted to soil-to-plant transfer factors. These are compared to commonly used and internationally recommended values. Those determined for annual crops are very similar to commonly-used values; those determined for tree fruits show interesting differences. Most macro- and micronutrients are slightly reduced in fruits; non-essential elements are reduced further. These findings may be used in existing computer models and may allow development of tree-fruit-specific transfer models.

  1. Preparation and characterization of cobalt-substituted anthrax lethal factor

    SciTech Connect (OSTI)

    Saebel, Crystal E.; Carbone, Ryan; Dabous, John R.; Lo, Suet Y. [Department of Chemistry and Biochemistry, Laurentian University, 935 Ramsey Lake Rd., Sudbury, Ontario, Canada P3E 2C6 (Canada)] [Department of Chemistry and Biochemistry, Laurentian University, 935 Ramsey Lake Rd., Sudbury, Ontario, Canada P3E 2C6 (Canada); Siemann, Stefan, E-mail: ssiemann@laurentian.ca [Department of Chemistry and Biochemistry, Laurentian University, 935 Ramsey Lake Rd., Sudbury, Ontario, Canada P3E 2C6 (Canada)] [Department of Chemistry and Biochemistry, Laurentian University, 935 Ramsey Lake Rd., Sudbury, Ontario, Canada P3E 2C6 (Canada)

    2011-12-09

    Highlights: Black-Right-Pointing-Pointer Cobalt-substituted anthrax lethal factor (CoLF) is highly active. Black-Right-Pointing-Pointer CoLF can be prepared by bio-assimilation and direct exchange. Black-Right-Pointing-Pointer Lethal factor binds cobalt tightly. Black-Right-Pointing-Pointer The electronic spectrum of CoLF reveals penta-coordination. Black-Right-Pointing-Pointer Interaction of CoLF with thioglycolic acid follows a 2-step mechanism. -- Abstract: Anthrax lethal factor (LF) is a zinc-dependent endopeptidase involved in the cleavage of mitogen-activated protein kinase kinases near their N-termini. The current report concerns the preparation of cobalt-substituted LF (CoLF) and its characterization by electronic spectroscopy. Two strategies to produce CoLF were explored, including (i) a bio-assimilation approach involving the cultivation of LF-expressing Bacillus megaterium cells in the presence of CoCl{sub 2}, and (ii) direct exchange by treatment of zinc-LF with CoCl{sub 2}. Independent of the method employed, the protein was found to contain one Co{sup 2+} per LF molecule, and was shown to be twice as active as its native zinc counterpart. The electronic spectrum of CoLF suggests the Co{sup 2+} ion to be five-coordinate, an observation similar to that reported for other Co{sup 2+}-substituted gluzincins, but distinct from that documented for the crystal structure of native LF. Furthermore, spectroscopic studies following the exposure of CoLF to thioglycolic acid (TGA) revealed a sequential mechanism of metal removal from LF, which likely involves the formation of an enzyme: Co{sup 2+}:TGA ternary complex prior to demetallation of the active site. CoLF reported herein constitutes the first spectroscopic probe of LF's active site, which may be utilized in future studies to gain further insight into the enzyme's mechanism and inhibitor interactions.

  2. Gyromagnetic factors in {sup 144-150}Nd

    SciTech Connect (OSTI)

    Giannatiempo, A.

    2011-09-15

    The U(5) to SU(3) evolution of the nuclear structure in the even {sup 144-156}Nd isotopes has been investigated in the framework of the interacting boson approximation (IBA-2) model, taking into account the effect of the partial Z=64 subshell closure on the structure of the states of a collective nature. The analysis, which led to a satisfactory description of excitation energy patterns, quadrupole moments, and decay properties of the states (even when important M1 components were present in the transitions), is extended to the available data on g factors, in {sup 144-150}Nd. Their values are reasonably reproduced by the calculations.

  3. On the relationship between formation resistivity factor and porosity

    SciTech Connect (OSTI)

    Perez-Rosales, C.

    1982-08-01

    A theory on the relationship between formation resistivity factor and porosity is presented. This theory considers that, from the standpoint of the flow of electric current within a porous medium saturated with a conducting fluid, the pore space can be divided into flowing and stagnant regions. This assumption leads to a general expression, and formulas currently used in practice are special cases of this expression. The validity of the new expression is established by the use of data corresponding to sandstones and packings and suspensions of particles. For the case of natural rocks, the theory confirms Darcy's equation and gives an interpretation of the physical significance of the so-called cementation exponent.

  4. Greybody factors and charges in Kerr/CFT

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

    Cvetič, Mirjam; Larsen, Finn

    2009-09-01

    We compute greybody factors for near extreme Kerr black holes in D = 4 and D = 5. In D = 4 we include four charges so that our solutions can be continuously deformed to the BPS limit. In D = 5 we include two independent angular momenta so Left-Right symmetry is incorporated. We discuss the CFT interpretation of our emission amplitudes, including the overall frequency dependence and the dependence on all black hole parameters. We find that all additional parameters can be incorporated Kerr/CFT, with central charge independent of U(1) charges.

  5. Fermilab | Science Next Door | Subscription Form

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

    Facebook row spacer Twitter row spacer YouTube row spacer Subscribe | Fermilab Home row spacer row spacer row spacer Subscribe to Science Next Door If you would like to receive...

  6. EIA-Voluntary Reporting of Greenhouse Gases Program - Emission Factors and

    Gasoline and Diesel Fuel Update (EIA)

    Global Warming Emission Factors Voluntary Reporting of Greenhouse Gases Program Emission Factors and Global Warming Potentials The greenhouse gas emission factors and global warming potentials (GWPs) presented on this page should be used for preparing emission inventories and calculating emission reductions submitted to U.S. Energy Information Administration (EIA) on Form EIA-1605(b). Fuel and Energy Emission Factors: Instructions | HTML | Tables Electricity Emission Factors: Instructions |

  7. Buildings and Energy in the 1980's

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

    Table R8.87p. Total and Average Primary Consumption and Expenditures for All Major Energy Sources in Residential Buildings, 1987 Total Average RSE Row Factors Expenditures (million...

  8. 1992 CBECS C & E

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

    of District Heat by End Use, 1989 District Heat Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  9. 1992 CBECS C & E

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

    0. Consumption of Fuel Oil by End Use, 1989 Fuel Oil Consumption (trillion Btu) Space Water a Total Heating Heating Other RSE Building Row Characteristics Factor 1.0 NF NF NF RSE...

  10. 1992 CBECS C & E

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

    of Natural Gas by End Use, 1989 Natural Gas Consumption (trillion Btu) Space Water a Total Heating Heating Cooking Other RSE Building Row Characteristics Factor 1.0 NF...

  11. Table 4

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

    112 70 83 98 99 117 150 5.89 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  12. Table 4

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

    125 43 101 95 99 130 149 8.25 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  13. Table 4

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

    125 69 112 131 137 158 7.36 Notes: -- To obtain the RSE percentage for any table cell, multiply the corresponding column and row factors. -- Because of rounding, data may...

  14. file://C:\Documents%20and%20Settings\VM3\My%20Documents\hc6-10a

    Gasoline and Diesel Fuel Update (EIA)

    0a. Usage Indicators by Midwest Census Region, Million U.S. Households, 2001 ____________________________________________________________________________________________ | | | | | Midwest Census Region | | |___________________________________| | | | | | | | Census Division | | | |_______________________| | | | | | | Total | | East North| West North| Usage Indicators | U.S. | Total | Central | Central | |___________|___________|___________|___________| RSE | | | | | Row RSE Column Factor: | 0.5 |

  15. Asymptotic, multigroup flux reconstruction and consistent discontinuity factors

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

    Trahan, Travis J.; Larsen, Edward W.

    2015-05-12

    Recent theoretical work has led to an asymptotically derived expression for reconstructing the neutron flux from lattice functions and multigroup diffusion solutions. The leading-order asymptotic term is the standard expression for flux reconstruction, i.e., it is the product of a shape function, obtained through a lattice calculation, and the multigroup diffusion solution. The first-order asymptotic correction term is significant only where the gradient of the diffusion solution is not small. Inclusion of this first-order correction term can significantly improve the accuracy of the reconstructed flux. One may define discontinuity factors (DFs) to make certain angular moments of the reconstructed fluxmore » continuous across interfaces between assemblies in 1-D. Indeed, the standard assembly discontinuity factors make the zeroth moment (scalar flux) of the reconstructed flux continuous. The inclusion of the correction term in the flux reconstruction provides an additional degree of freedom that can be used to make two angular moments of the reconstructed flux continuous across interfaces by using current DFs in addition to flux DFs. Thus, numerical results demonstrate that using flux and current DFs together can be more accurate than using only flux DFs, and that making the second angular moment continuous can be more accurate than making the zeroth moment continuous.« less

  16. table6.3_02.xls

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

    3 Consumption Ratios of Fuel, 2002; Level: National Data; Row: Values of Shipments within NAICS Codes; Column: Energy-Consumption Ratios; Unit: Varies. Consumption Consumption per Dollar Consumption per Dollar of Value RSE NAICS per Employee of Value Added of Shipments Row Code(a) Economic Characteristic(b) (million Btu) (thousand Btu) (thousand Btu) Factors Total United States RSE Column Factors: 1 1 1 311 - 339 ALL MANUFACTURING INDUSTRIES Value of Shipments and Receipts (million dollars)

  17. Control of mechanically activated polymersome fusion: Factors affecting fusion

    SciTech Connect (OSTI)

    Henderson, Ian M.; Paxton, Walter F.

    2014-12-15

    Previously we have studied the mechanically-activated fusion of extruded (200 nm) polymer vesicles into giant polymersomes using agitation in the presence of salt. In this study we have investigated several factors contributing to this phenomenon, including the effects of (i) polymer vesicle concentration, (ii) agitation speed and duration, and iii) variation of the salt and its concentration. It was found that increasing the concentration of the polymer dramatically increases the production of giant vesicles through the increased collisions of polymersomes. Our investigations also found that increasing the frequency of agitation increased the efficiency of fusion, though ultimately limited the size of vesicle which could be produced due to the high shear involved. Finally it was determined that salt-mediation of the fusion process was not limited to NaCl, but is instead a general effect facilitated by the presence of solvated ionic compounds, albeit with different salts initiating fusion at different concentration.

  18. Control of mechanically activated polymersome fusion: Factors affecting fusion

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

    Henderson, Ian M.; Paxton, Walter F.

    2014-12-15

    Previously we have studied the mechanically-activated fusion of extruded (200 nm) polymer vesicles into giant polymersomes using agitation in the presence of salt. In this study we have investigated several factors contributing to this phenomenon, including the effects of (i) polymer vesicle concentration, (ii) agitation speed and duration, and iii) variation of the salt and its concentration. It was found that increasing the concentration of the polymer dramatically increases the production of giant vesicles through the increased collisions of polymersomes. Our investigations also found that increasing the frequency of agitation increased the efficiency of fusion, though ultimately limited the sizemore » of vesicle which could be produced due to the high shear involved. Finally it was determined that salt-mediation of the fusion process was not limited to NaCl, but is instead a general effect facilitated by the presence of solvated ionic compounds, albeit with different salts initiating fusion at different concentration.« less

  19. Making tensor factorizations robust to non-gaussian noise.

    SciTech Connect (OSTI)

    Chi, Eric C.; Kolda, Tamara Gibson

    2011-03-01

    Tensors are multi-way arrays, and the CANDECOMP/PARAFAC (CP) tensor factorization has found application in many different domains. The CP model is typically fit using a least squares objective function, which is a maximum likelihood estimate under the assumption of independent and identically distributed (i.i.d.) Gaussian noise. We demonstrate that this loss function can be highly sensitive to non-Gaussian noise. Therefore, we propose a loss function based on the 1-norm because it can accommodate both Gaussian and grossly non-Gaussian perturbations. We also present an alternating majorization-minimization (MM) algorithm for fitting a CP model using our proposed loss function (CPAL1) and compare its performance to the workhorse algorithm for fitting CP models, CP alternating least squares (CPALS).

  20. Factorization method and new potentials from the inverted oscillator

    SciTech Connect (OSTI)

    Bermudez, David Fernndez C, David J.

    2013-06-15

    In this article we will apply the first- and second-order supersymmetric quantum mechanics to obtain new exactly-solvable real potentials departing from the inverted oscillator potential. This system has some special properties; in particular, only very specific second-order transformations produce non-singular real potentials. It will be shown that these transformations turn out to be the so-called complex ones. Moreover, we will study the factorization method applied to the inverted oscillator and the algebraic structure of the new Hamiltonians. -- Highlights: We apply supersymmetric quantum mechanics to the inverted oscillator potential. The complex second-order transformations allow us to build new non-singular potentials. The algebraic structure of the initial and final potentials is analyzed. The initial potential is described by a complex-deformed HeisenbergWeyl algebra. The final potentials are described by polynomial Heisenberg algebras.

  1. Factors relevant to utility integration of intermittent renewable technologies

    SciTech Connect (OSTI)

    Wan, Yih-huei; Parsons, B.K.

    1993-08-01

    This study assesses factors that utilities must address when they integrate intermittent renewable technologies into their power-supply systems; it also reviews the literature in this area and has a bibliography containing more than 350 listings. Three topics are covered: (1) interface (hardware and design-related interconnection), (2) operability/stability, and (3) planning. This study finds that several commonly held perceptions regarding integration of intermittent renewable energy technologies are not valid. Among findings of the study are the following: (1) hardware and system design advances have eliminated most concerns about interface; (2) cost penalties have not occurred at low to moderate penetration levels (and high levels are feasible); and (3) intermittent renewable energy technologies can have capacity values. Obstacles still interfering with intermittent renewable technologies are also identified.

  2. Energy Price Indices and Discount Factors for Life-Cycle Cost...

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

    Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2015 Energy Price Indices and Discount Factors for Life-Cycle Cost Analysis - 2015 Handbook describes the annual...

  3. Central safety factor and β N control on NSTX-U via beam power...

    Office of Scientific and Technical Information (OSTI)

    Central safety factor and N control on NSTX-U via beam power and plasma boundary shape ... Title: Central safety factor and N control on NSTX-U via beam power and plasma boundary ...

  4. Human Factors for Situation Assessment in Grid Operations

    SciTech Connect (OSTI)

    Guttromson, Ross T.; Schur, Anne; Greitzer, Frank L.; Paget, Mia L.

    2007-08-08

    Executive Summary Despite advances in technology, power system operators must assimilate overwhelming amounts of data to keep the grid operating. Analyses of recent blackouts have clearly demonstrated the need to enhance the operators situation awareness (SA). The long-term objective of this research is to integrate valuable technologies into the grid operator environment that support decision making under normal and abnormal operating conditions and remove non-technical barriers to enable the optimum use of these technologies by individuals working alone and as a team. More specifically, the research aims to identify methods and principles to increase SA of grid operators in the context of system conditions that are representative or common across many operating entities and develop operationally relevant experimental methods for studying technologies and operational practices which contribute to SA. With increasing complexity and interconnectivity of the grid, the scope and complexity of situation awareness have grown. New paradigms are needed to guide research and tool development aimed to enhance and improve operations. In reviewing related research, operating practices, systems, and tools, the present study established a taxonomy that provides a perspective on research and development surrounding power grid situation awareness and clarifies the field of human factors/SA for grid operations. Information sources that we used to identify critical factors underlying SA included interviews with experienced operational personnel, available historical summaries and transcripts of abnormal conditions and outages (e.g., the August 14, 2003 blackout), scientific literature, and operational policies/procedures and other documentation. Our analysis of August 2003 blackout transcripts and interviews adopted a different perspective than previous analyses of this material, and we complemented this analysis with additional interviews. Based on our analysis and a broad literature review, we advocate a new perspective on SA in terms of sensemaking, also called situated or ecological decision making, where the focus of the investigation is to understand why the decision maker(s) experienced the situation the way they did, or why what they saw made sense to them at the time. This perspective is distinct from the traditional branch of human factors research in the field which focuses more on ergonomics and the transactional relationship between the human operator and the systems. Consistent with our findings from the literature review, we recognized an over-arching need to focus SA research on issues surrounding the concept of shared knowledge; e.g., awareness of what is happening in adjacent areas as well as ones own area of responsibility. Major findings were: a) Inadequate communication/information sharing is pervasive, b) Information is available, but not used. Many tools and mechanisms exist for operators to build awareness of the physical grid system, yet the transcripts reveal that they still need to call and exchange information with operators of neighboring areas to improve or validate their SA. The specific types of information that they request are quite predictable and, in most cases, cover information that could be available to both operators and reliability coordinators through readily available displays or other data sources, c) Shared Knowledge is Required on Operations/Actions as Well as Physical Status. In an ideal, technologically and organizationally perfect world, every control room and every reliability coordinator may have access to complete data across all regional control areas and yet, there would still be reason for the operators to call each other to gain and improve their SA of power grid operations, and d) Situation Awareness as sensemaking and shared knowledge.

  5. Meson transition form factors in light-front holographic QCD

    SciTech Connect (OSTI)

    Brodsky, Stanley J.; Cao Fuguang; de Teramond, Guy F.

    2011-10-01

    We study the photon-to-meson transition form factors (TFFs) F{sub M}{gamma}(Q{sup 2}) for {gamma}{gamma}{sup *}{yields}M using light-front holographic methods. The Chern-Simons action, which is a natural form in five-dimensional anti-de Sitter (AdS) space, is required to describe the anomalous coupling of mesons to photons using holographic methods and leads directly to an expression for the photon-to-pion TFF for a class of confining models. Remarkably, the predicted pion TFF is identical to the leading order QCD result where the distribution amplitude has asymptotic form. The Chern-Simons form is local in AdS space and is thus somewhat limited in its predictability. It only retains the qq component of the pion wave function, and further, it projects out only the asymptotic form of the meson distribution amplitude. It is found that in order to describe simultaneously the decay process {pi}{sup 0}{yields}{gamma}{gamma} and the pion TFF at the asymptotic limit, a probability for the qq component of the pion wave function P{sub qq}=0.5 is required, thus giving indication that the contributions from higher Fock states in the pion light-front wave function need to be included in the analysis. The probability for the Fock state containing four quarks P{sub qqqq}{approx}10%, which follows from analyzing the hadron matrix elements for a dressed current model, agrees with the analysis of the pion elastic form factor using light-front holography including higher Fock components in the pion wave function. The results for the TFFs for the {eta} and {eta}{sup '} mesons are also presented. The rapid growth of the pion TFF exhibited by the BABAR data at high Q{sup 2} is not compatible with the models discussed in this article, whereas the theoretical calculations are in agreement with the experimental data for the {eta} and {eta}{sup '} TFFs.

  6. Decommissioning Cost Estimating Factors And Earned Value Integration

    SciTech Connect (OSTI)

    Sanford, P.C.; Cimmarron, E.

    2008-07-01

    The Rocky Flats 771 Project progressed from the planning stage of decommissioning a plutonium facility, through the strip-out of highly-contaminated equipment, removal of utilities and structural decontamination, and building demolition. Actual cost data was collected from the strip-out activities and compared to original estimates, allowing the development of cost by equipment groupings and types and over time. Separate data was developed from the project control earned value reporting and compared with the equipment data. The paper discusses the analysis to develop the detailed factors for the different equipment types, and the items that need to be considered during characterization of a similar facility when preparing an estimate. The factors are presented based on direct labor requirements by equipment type. The paper also includes actual support costs, and examples of fixed or one-time start-up costs. The integration of the estimate and the earned value system used for the 771 Project is also discussed. The paper covers the development of the earned value system as well as its application to a facility to be decommissioned and an existing work breakdown structure. Lessons learned are provided, including integration with scheduling and craft supervision, measurement approaches, and verification of scope completion. In summary: The work of decommissioning the Rocky Flats 771 Project process equipment was completed in 2003. Early in the planning process, we had difficulty in identifying credible data and implementing processes for estimating and controlling this work. As the project progressed, we were able to collect actual data on the costs of removing plutonium contaminated equipment from various areas over the life of this work and associate those costs with individual pieces of equipment. We also were able to develop and test out a system for measuring the earned value of a decommissioning project based on an evolving estimate. These were elements that would have been useful to us in our early planning process, and we would expect that they would find application elsewhere as the DOE weapons complex and some commercial nuclear facilities move towards closure. (authors)

  7. Global Agricultural Supply and Demand: Factors Contributing to the Recent Increase in Food Commodity Prices

    SciTech Connect (OSTI)

    none,

    2008-05-01

    This report discusses the factors that have led to global food commodity price inflaction and addresses the resulting implications.

  8. A Model for Water Factor Measurements With Fission-Neutron Logging Tools

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

    (May 1983) | Department of Energy A Model for Water Factor Measurements With Fission-Neutron Logging Tools (May 1983) A Model for Water Factor Measurements With Fission-Neutron Logging Tools (May 1983) A Model for Water Factor Measurements With Fission-Neutron Logging Tools (May 1983) PDF icon A Model for Water Factor Measurements With Fission-Neutron Logging Tools (May 1983) More Documents & Publications Field Calibration Facilities for Environmental Measurement of Radium, Thorium, and

  9. A Review of Operational Water Consumption and Withdrawal Factors for Electricity Generating Technologies

    SciTech Connect (OSTI)

    Macknick, Jordan; Newmark, Robin; Heath, Garvin; Hallett, K. C.

    2011-03-01

    This report provides estimates of operational water withdrawal and water consumption factors for electricity generating technologies in the United States. Estimates of water factors were collected from published primary literature and were not modified except for unit conversions. The presented water factors may be useful in modeling and policy analyses where reliable power plant level data are not available.

  10. Extracellular nonmitogenic angiogenesis factor and method of isolation thereof from wound fluid

    DOE Patents [OSTI]

    Banda, Michael J. (San Francisco, CA); Werb, Zena (San Francisco, CA); Knighton, David R. (San Francisco, CA); Hunt, Thomas K. (San Francisco, CA)

    1985-01-01

    A nonmitogenic angiogenesis factor is isolated from wound fluid by dialysis to include materials in the molecular size range of 2,000 to 14,000, lyophilization, and chromatography. The nonmitogenic angiogenesis factor is identified by activity by corneal implant assay and by cell migration assay. The angiogenesis factor is also characterized by inactivity by mitogenesis assay.

  11. Extracellular nonmitogenic angiogenesis factor and method of isolation thereof from wound fluid

    DOE Patents [OSTI]

    Banda, M.J.; Werb, Z.; Knighton, D.R.; Hunt, T.K.

    1985-03-05

    A nonmitogenic angiogenesis factor is isolated from wound fluid by dialysis to include materials in the molecular size range of 2,000 to 14,000, lyophilization, and chromatography. The nonmitogenic angiogenesis factor is identified by activity by corneal implant assay and by cell migration assay. The angiogenesis factor is also characterized by inactivity by mitogenesis assay. 3 figs.

  12. Factors governing sustainable groundwater pumping near a river

    SciTech Connect (OSTI)

    Zhang, Y.; Hubbard, S.S.; Finsterle, S.

    2011-01-15

    The objective of this paper is to provide new insights into processes affecting riverbank filtration (RBF). We consider a system with an inflatable dam installed for enhancing water production from downstream collector wells. Using a numerical model, we investigate the impact of groundwater pumping and dam operation on the hydrodynamics in the aquifer and water production. We focus our study on two processes that potentially limit water production of an RBF system: the development of an unsaturated zone and riverbed clogging. We quantify river clogging by calibrating a time-dependent riverbed permeability function based on knowledge of pumping rate, river stage, and temperature. The dynamics of the estimated riverbed permeability reflects clogging and scouring mechanisms. Our results indicate that (1) riverbed permeability is the dominant factor affecting infiltration needed for sustainable RBF production; (2) dam operation can influence pumping efficiency and prevent the development of an unsaturated zone beneath the riverbed only under conditions of sufficient riverbed permeability; (3) slow river velocity, caused by dam raising during summer months, may lead to sedimentation and deposition of fine-grained material within the riverbed, which may clog the riverbed, limiting recharge to the collector wells and contributing to the development of an unsaturated zone beneath the riverbed; and (4) higher river flow velocities, caused by dam lowering during winter storms, scour the riverbed an thus increase its permeability. These insights can be used as the basis for developing sustainable water management of a RBF system.

  13. Hyperdynamics boost factor achievable with an ideal bias potential

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

    Huang, Chen; Perez, Danny; Voter, Arthur F.

    2015-08-20

    Hyperdynamics is a powerful method to significantly extend the time scales amenable to molecular dynamics simulation of infrequent events. One outstanding challenge, however, is the development of the so-called bias potential required by the method. In this work, we design a bias potential using information about all minimum energy pathways (MEPs) out of the current state. While this approach is not suitable for use in an actual hyperdynamics simulation, because the pathways are generally not known in advance, it allows us to show that it is possible to come very close to the theoretical boost limit of hyperdynamics while maintainingmore » high accuracy. We demonstrate this by applying this MEP-based hyperdynamics (MEP-HD) to metallic surface diffusion systems. In most cases, MEP-HD gives boost factors that are orders of magnitude larger than the best existing bias potential, indicating that further development of hyperdynamics bias potentials could have a significant payoff. Lastly, we discuss potential practical uses of MEP-HD, including the possibility of developing MEP-HD into a true hyperdynamics.« less

  14. Factors affecting coking pressures in tall coke ovens

    SciTech Connect (OSTI)

    Grimley, J.J.; Radley, C.E.

    1995-12-01

    The detrimental effects of excessive coking pressures, resulting in the permanent deformation of coke oven walls, have been recognized for many years. Considerable research has been undertaken worldwide in attempts to define the limits within which a plant may safely operate and to quantify the factors which influence these pressures. Few full scale techniques are available for assessing the potential of a coal blend for causing wall damage. Inference of dangerous swelling pressures may be made however by the measurement of the peak gas pressure which is generated as the plastic layers meet and coalesce at the center of the oven. This pressure is referred to in this report as the carbonizing pressure. At the Dawes Lane cokemaking plant of British Steel`s Scunthorpe Works, a large database has been compiled over several years from the regulator measurement of this pressure. This data has been statistically analyzed to provide a mathematical model for predicting the carbonizing pressure from the properties of the component coals, the results of this analysis are presented in this report.

  15. Major Risk Factors Integrated Facility Disposition Project - Oak Ridge

    Office of Environmental Management (EM)

    D D e e p p a a r r t t m m e e n n t t o o f f E E n n e e r r g g y y O O f f f f i i c c e e o o f f E E n n v v i i r r o o n n m m e e n n t t a a l l M M a a n n a a g g e e m m e e n n t t ( ( E E M M ) ) E E n n g g i i n n e e e e r r i i n n g g a a n n d d T T e e c c h h n n o o l l o o g g y y External Technical Review (ETR) Report Major Risk Factors Integrated Facility Disposition Project (IFDP) Oak Ridge, TN AUGUST 1, 2008 Acknowledgement The External Technical Review of the

  16. Factors influencing radiation therapy student clinical placement satisfaction

    SciTech Connect (OSTI)

    Bridge, Pete; Carmichael, Mary-Ann

    2014-02-15

    Introduction: Radiation therapy students at Queensland University of Technology (QUT) attend clinical placements at five different clinical departments with varying resources and support strategies. This study aimed to determine the relative availability and perceived importance of different factors affecting student support while on clinical placement. The purpose of the research was to inform development of future support mechanisms to enhance radiation therapy students experience on clinical placement. Methods: This study used anonymous Likert-style surveys to gather data from years 1 and 2 radiation therapy students from QUT and clinical educators from Queensland relating to availability and importance of support mechanisms during clinical placements in a semester. Results: The study findings demonstrated student satisfaction with clinical support and suggested that level of support on placement influenced student employment choices. Staff support was perceived as more important than physical resources; particularly access to a named mentor, a clinical educator and weekly formative feedback. Both students and educators highlighted the impact of time pressures. Conclusions: The support offered to radiation therapy students by clinical staff is more highly valued than physical resources or models of placement support. Protected time and acknowledgement of the importance of clinical education roles are both invaluable. Joint investment in mentor support by both universities and clinical departments is crucial for facilitation of effective clinical learning.

  17. Highly Efficient Small Form Factor LED Retrofit Lamp

    SciTech Connect (OSTI)

    Steven Allen; Fred Palmer; Ming Li

    2011-09-11

    This report summarizes work to develop a high efficiency LED-based MR16 lamp downlight at OSRAM SYLVANIA under US Department of Energy contract DE-EE0000611. A new multichip LED package, electronic driver, and reflector optic were developed for these lamps. At steady-state, the lamp luminous flux was 409 lumens (lm), luminous efficacy of 87 lumens per watt (LPW), CRI (Ra) of 87, and R9 of 85 at a correlated color temperature (CCT) of 3285K. The LED alone achieved 120 lumens per watt efficacy and 600 lumen flux output at 25 C. The driver had 90% electrical conversion efficiency while maintaining excellent power quality with power factor >0.90 at a power of only 5 watts. Compared to similar existing MR16 lamps using LED sources, these lamps had much higher efficacy and color quality. The objective of this work was to demonstrate a LED-based MR16 retrofit lamp for replacement of 35W halogen MR16 lamps having (1) luminous flux of 500 lumens, (2) luminous efficacy of 100 lumens per watt, (3) beam angle less than 40{sup o} and center beam candlepower of at least 1000 candelas, and (4) excellent color quality.

  18. Factors controlling pathogen destruction during anaerobic digestion of biowastes

    SciTech Connect (OSTI)

    Smith, S.R. . E-mail: s.r.smith@imperial.ac.uk; Lang, N.L.; Cheung, K.H.M.; Spanoudaki, K.

    2005-07-01

    Anaerobic digestion is the principal method of stabilising biosolids from urban wastewater treatment in the UK, and it also has application for the treatment of other types of biowaste. Increasing awareness of the potential risks to human and animal health from environmental sources of pathogens has focused attention on the efficacy of waste treatment processes at destroying pathogenic microorganisms in biowastes recycled to agricultural land. The degree of disinfection achieved by a particular anaerobic digester is influenced by a variety of interacting operational variables and conditions, which can often deviate from the ideal. Experimental investigations demonstrate that Escherichia coli and Salmonella spp. are not damaged by mesophilic temperatures, whereas rapid inactivation occurs by thermophilic digestion. A hydraulic, biokinetic and thermodynamic model of pathogen inactivation during anaerobic digestion showed that a 2 log{sub 10} reduction in E. coli (the minimum removal required for agricultural use of conventionally treated biosolids) is likely to challenge most conventional mesophilic digesters, unless strict maintenance and management practices are adopted to minimise dead zones and by-pass flow. Efficient mixing and organic matter stabilisation are the main factors controlling the rate of inactivation under mesophilic conditions and not a direct effect of temperature per se on pathogenic organisms.

  19. Applying Human Factors during the SIS Life Cycle

    SciTech Connect (OSTI)

    Avery, K.

    2010-05-05

    Safety Instrumented Systems (SIS) are widely used in U.S. Department of Energy's (DOE) nonreactor nuclear facilities for safety-critical applications. Although use of the SIS technology and computer-based digital controls, can improve performance and safety, it potentially introduces additional complexities, such as failure modes that are not readily detectable. Either automated actions or manual (operator) actions may be required to complete the safety instrumented function to place the process in a safe state or mitigate a hazard in response to an alarm or indication. DOE will issue a new standard, Application of Safety Instrumented Systems Used at DOE Nonreactor Nuclear Facilities, to provide guidance for the design, procurement, installation, testing, maintenance, operation, and quality assurance of SIS used in safety significant functions at DOE nonreactor nuclear facilities. The DOE standard focuses on utilizing the process industry consensus standard, American National Standards Institute/ International Society of Automation (ANSI/ISA) 84.00.01, Functional Safety: Safety Instrumented Systems for the Process Industry Sector, to support reliable SIS design throughout the DOE complex. SIS design must take into account human-machine interfaces and their limitations and follow good human factors engineering (HFE) practices. HFE encompasses many diverse areas (e.g., information display, user-system interaction, alarm management, operator response, control room design, and system maintainability), which affect all aspects of system development and modification. This paper presents how the HFE processes and principles apply throughout the SIS life cycle to support the design and use of SIS at DOE nonreactor nuclear facilities.

  20. Multifocal Glioblastoma Multiforme: Prognostic Factors and Patterns of Progression

    SciTech Connect (OSTI)

    Showalter, Timothy N.; Andrel, Jocelyn; Andrews, David W.; Curran, Walter J.; Daskalakis, Constantine; Werner-Wasik, Maria

    2007-11-01

    Purpose: To assess the progression patterns in patients with multifocal glioblastoma multiforme who had undergone whole brain radiotherapy (WBRT), the historical standard, versus three-dimensional conformal radiotherapy, and to identify predictive treatment and pretreatment factors. Methods and Materials: The records of 50 patients with multifocal glioblastoma multiforme treated with RT were reviewed. Univariate analyses were performed using survival methods and the Cox proportional hazards regression method. Multivariate analyses were performed using the Cox proportional hazards regression method. Results: The mean age was 61 years, and 71% had a Karnofsky performance status (KPS) score of {>=}70. Of the 50 patients, 32% underwent WBRT and 68%, three-dimensional conformal RT. Progression was local in all evaluable patients, as determined by imaging in 38 patients and early neurologic progression in 12. The median time to progression (TTP) was 3.1 months, and the median survival time (MST) was 8.1 months. The significant independent predictors of TTP on multivariate analysis were a KPS score <70 (p = 0.001), the extent of surgery (p = 0.040), a radiation dose <60 Gy (p = 0.027), and the lack of chemotherapy (p = 0.001). The significant independent predictors of a reduced MST were a KPS score <70 (p = 0.022) and the absence of salvage surgery (p = 0.011) and salvage chemotherapy (p = 0.003). Conclusion: Local progression was observed in all patients. On multivariate analysis, no significant difference was found in the TTP or MST between three-dimensional conformal radiotherapy and WBRT. The KPS was a consistent independent predictor of both TTP and MST. On the basis of the progression pattern, we do not recommend WBRT as a mandatory component of the treatment of multifocal glioblastoma multi0011for.