National Library of Energy BETA

Sample records for mecs survey years

  1. Manufacturing Energy Consumption Survey (MECS) - Data - U.S....

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

    Archive MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Special Reports (click on table headings to sort) Title Release Year Cycle Year Format Energy-Related...

  2. Manufacturing-Industrial Energy Consumption Survey(MECS) Historical...

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

    reports, data tables and questionnaires Released: May 2008 The Manufacturing Energy Consumption Survey (MECS) is a periodic national sample survey devoted to measuring...

  3. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projections -

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

    U.S. Energy Information Administration (EIA) About the MECS Survey forms Maps MECS Terminology Archives Features First 2010 Data Press Release 2010 Data Brief Other End Use Surveys Commercial Buildings - CBECS Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows Tool Cost of Natural Gas Used in Manufacturing Sector Has Fallen MECS 2010 - Release date: September 6,

  4. Manufacturing Energy Consumption Survey (MECS) - Residential...

    Gasoline and Diesel Fuel Update (EIA)

    Early-release estimates from the 2010 MECS show that energy consumption in the manufacturing sector decreased between 2006 and 2010 MECS 2006-2010 - Release date: March 28, 2012 ...

  5. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

    Gasoline and Diesel Fuel Update (EIA)

    Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use and the Energy Intensity of Manufacturing Activity between 2002 and 2010 MECS 2010 - ...

  6. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 1 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 1 (Estimates in Btu or Physical Units) XLS Total Primary Consumption of Energy for All Purposes by Census Region, Industry Group, and Selected Industries, 1991: Part 2 (Estimates

  7. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 4 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region, Census Division, Industry Group, and Selected Industries, 1994: Part 1 (Estimates in Btu or Physical Units) XLS Total First Use (formerly Primary Consumption) of Energy for All Purposes by Census Region,

  8. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 8 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Values SIC RSE 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 XLS XLS XLS First Use of Energy for All Purposes (Fuel and Nonfuel), 1998; Level: National

  9. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 2 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms all tables + EXPAND ALL Consumption of Energy for All Purposes (First Use) Values RSE Table 1.1 By Mfg. Industry & Region (physical units) XLS PDF XLS Table 1.2 By Mfg. Industry & Region (trillion Btu) XLS PDF XLS Table 1.3 By Value of Shipments & Employment Size Category & Region XLS PDF Table 1.4 Number of Establishments Using Energy Consumed

  10. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 6 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms 2006 Data Tables Revision notice (November 2009): Tables 1.1, 1.2, 2.1, 2.2, 3.1, 3.2, 3.5, 4.1 and 4.2 have been slightly revised due to further editing. The revisions in XLS are indicated with a value of "R" in an adjacent column. In the PDF versions, the revised values are superscripted with an "R". No further revisions are anticipated for

  11. Manufacturing Energy Consumption Survey (MECS) - Data - U.S. Energy

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

    Information Administration (EIA) 10 MECS Survey Data 2010 | 2006 | 2002 | 1998 | 1994 | 1991 | Archive Data Methodology & Forms + EXPAND ALL Consumption of Energy for All Purposes (First Use) Table 1.1 By Mfg. Industry & Region (physical units) XLS PDF Table 1.2 By Mfg. Industry & Region (trillion Btu) XLS PDF Table 1.3 By Value of Shipments & Employment Size Category & Region XLS PDF Table 1.4 Number of Establishments Using Energy Consumed for All Purpose XLS PDF Table

  12. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy...

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

    Residential - RECS Transportation DOE Uses MECS Data Manufacturing Energy and Carbon Footprints Associated Analysis Manufacturing Energy Sankey Diagrams Manufacturing Energy Flows ...

  13. MECS Fuel Oil Figures

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

    Energy Consumption Survey (MECS): Consumption of Energy; U.S. Department of Commerce, Bureau of the Census, Annual Survey of Manufactures (ASM): Statistics for Industry...

  14. MECS 2006- Plastics

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Plastics (NAICS 326) Sector with Total Energy Input, October 2012 (MECS 2006)

  15. Forest Products (2010 MECS)

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Forest Products Sector (NAICS 321, 322) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014

  16. Foundries (2010 MECS)

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Foundries Sector (NAICS 3315) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014

  17. "Table 11. Fuel Economy, Selected Survey Years (Miles Per Gallon...

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

    Fuel Economy, Selected Survey Years (Miles Per Gallon)" ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",15.1,16.1,18.3,19.3,19.8,20.2 "Household Characteristics" "Census...

  18. Fabricated Metals Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  19. All Manufacturing Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  20. Chemical Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  1. Transportation Equipment Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  2. Aluminum Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  3. Textiles Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  4. Chemicals Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  5. Textiles Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  6. Aluminum Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  7. All Manufacturing Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  8. Transportation Equipment Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  9. Fabricated Metals Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-19

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  10. Machinery Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  11. Cement Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-01

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  12. Cement Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  13. Forest Products Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  14. Forest Products Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  15. Foundries Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  16. Foundries Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  17. Petroleum Refining Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  18. Petroleum Refining Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  19. MECS 2006 - All Manufacturing | Department of Energy

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

    All Manufacturing MECS 2006 - All Manufacturing Manufacturing Energy and Carbon Footprint - Sector: All Manufacturing (NAICS 31-33) with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon All Manufacturing (NAICS 31-33) More Documents & Publications All Manufacturing (2010 MECS) MECS 2006 - Alumina and Aluminum MECS 2006 - Cement

  20. MECS 2006 - Cement | Department of Energy

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

    Cement MECS 2006 - Cement Manufacturing Energy and Carbon Footprint for Cement (NAICS 327310) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Cement More Documents & Publications Cement (2010 MECS) MECS 2006 - Glass MECS 2006 - Plastics

  1. MECS 2006 - Chemicals | Department of Energy

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

    Chemicals MECS 2006 - Chemicals Manufacturing Energy and Carbon Footprint for Chemicals Sector (NAICS 325) with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Chemicals More Documents & Publications Chemicals (2010 MECS) MECS 2006 - Alumina and Aluminum MECS 2006 - Cement

  2. MECS 2006 - Fabricated Metals | Department of Energy

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

    Fabricated Metals MECS 2006 - Fabricated Metals Manufacturing Energy and Carbon Footprint for Fabricated Metals (NAICS 332) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Fabricated Metals More Documents & Publications Fabricated Metals (2010 MECS) MECS 2006 - Cement MECS 2006 - Glass

  3. MECS 2006 - Forest Products | Department of Energy

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

    Forest Products MECS 2006 - Forest Products Manufacturing Energy and Carbon Footprint for Forest Products (NAICS 321, 322) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Forest Products More Documents & Publications Forest Products (2010 MECS) MECS 2006 - Cement MECS 2006 - Transportation Equipment

  4. MECS 2006 - Petroleum Refining | Department of Energy

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

    Petroleum Refining MECS 2006 - Petroleum Refining Manufacturing Energy and Carbon Footprint for Petroleum Refining (NAICS 324110) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Petroleum Refining More Documents & Publications Petroleum Refining (2010 MECS) MECS 2006 - Alumina and Aluminum MECS 2006 - Cement

  5. Transportation Equipment (2010 MECS) | Department of Energy

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

    Transportation Equipment (2010 MECS) Transportation Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Transportation Equipment Sector (NAICS 336) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Transportation Equipment More Documents & Publications MECS 2006 - Transportation Equipment Cement (2010 MECS) Glass and Glass Products (2010

  6. Iron and Steel (2010 MECS)

    Broader source: Energy.gov [DOE]

    Manufacturing Energy and Carbon Footprint for Iron and Steel Sector (NAICS 3311, 3312) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014

  7. Cement (2010 MECS) | Department of Energy

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

    Cement (2010 MECS) Cement (2010 MECS) Manufacturing Energy and Carbon Footprint for Cement Sector (NAICS 327310) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Cement More Documents & Publications MECS 2006 - Cement Glass and Glass Products (2010 MECS) Textiles (2010 MECS) Manufacturing Energy Sankey Diagrams Manufacturing energy Sankey diagrams map the

  8. Chemicals (2010 MECS) | Department of Energy

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

    Chemicals (2010 MECS) Chemicals (2010 MECS) Manufacturing Energy and Carbon Footprint for Chemicals Sector (NAICS 325) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Chemicals More Documents & Publications All Manufacturing (2010 MECS) MECS 2006 - Chemicals Cement (2010 MECS) Manufacturing Energy Sankey Diagrams Manufacturing energy Sankey diagrams map

  9. Textiles (2010 MECS) | Department of Energy

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

    Textiles (2010 MECS) Textiles (2010 MECS) Manufacturing Energy and Carbon Footprint for Textiles Sector (NAICS 313-316) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Textiles More Documents & Publications MECS 2006 - Textiles Cement (2010 MECS) Glass and Glass Products (2010 MECS) Manufacturing Energy Sankey Diagrams Manufacturing energy Sankey diagrams

  10. Fabricated Metals (2010 MECS) | Department of Energy

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

    Fabricated Metals (2010 MECS) Fabricated Metals (2010 MECS) Manufacturing Energy and Carbon Footprint for Fabricated Metals Sector (NAICS 332) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Fabricated Metals More Documents & Publications MECS 2006 - Fabricated Metals Cement (2010 MECS) Glass and Glass Products (2010 MECS) Manufacturing Energy Sankey

  11. Machinery (2010 MECS) | Department of Energy

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

    Machinery (2010 MECS) Machinery (2010 MECS) Manufacturing Energy and Carbon Footprint for Machinery Sector (NAICS 333) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Machinery More Documents & Publications MECS 2006 - Machinery Cement (2010 MECS) Glass and Glass Products (2010 MECS) Manufacturing Energy Sankey Diagrams Manufacturing energy Sankey diagrams

  12. All Manufacturing (2010 MECS) | Department of Energy

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

    All Manufacturing (2010 MECS) All Manufacturing (2010 MECS) Manufacturing Energy and Carbon Footprint for All Manufacturing Sector (NAICS 31-33) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: June 2015 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon All Manufacturing More Documents & Publications MECS 2006 - All Manufacturing Cement (2010 MECS) Chemicals (2010 MECS) Manufacturing Energy Sankey Diagrams Manufacturing

  13. Petroleum Refining (2010 MECS) | Department of Energy

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

    Petroleum Refining (2010 MECS) Petroleum Refining (2010 MECS) Manufacturing Energy and Carbon Footprint for Petroleum Refining Sector (NAICS 324110) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Petroleum Refining More Documents & Publications MECS 2006 - Petroleum Refining Cement (2010 MECS) Foundries (2010 MECS) Manufacturing Energy Sankey Diagrams

  14. 2002 Manufacturing Energy Consumption Survey - User Needs Survey

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

    2002 Manufacturing Energy Consumption Survey: User-Needs Survey View current results. We need your help in designing the next Energy Consumption Survey (MECS) As our valued...

  15. MECS 2006 - Machinery | Department of Energy

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

    Machinery MECS 2006 - Machinery Manufacturing Energy and Carbon Footprint for Machinery (NAICS 333) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Machinery More Documents & Publications Machinery (2010 MECS

  16. Computers, Electronics, and Appliances Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  17. Plastics and Rubber Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  18. Food and Beverage Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  19. Plastics and Rubber Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  20. Computers, Electronics, and Appliances Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  1. Food and Beverage Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  2. Glass and Fiber Glass Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  3. Glass and Fiber Glass Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  4. Iron and Steel Footprint, December 2010 (MECS 2006)

    SciTech Connect (OSTI)

    none,

    2010-06-01

    Manufacturing energy and carbon footprints map fuel energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing industry sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released due to the combustion of fuel. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high-level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The energy data is primarily provided by the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), and therefore reflects consumption in the year 2006, when the survey was last completed.

  5. Iron and Steel Footprint, October 2012 (MECS 2006)

    SciTech Connect (OSTI)

    2012-10-17

    Manufacturing energy and carbon footprints map energy consumption and losses, as well as greenhouse gas emissions from fuel consumption, for fifteen individual U.S. manufacturing sectors (representing 94% of all manufacturing energy use) and for the entire manufacturing sector. By providing energy consumption and emissions figures broken down by end use, the footprints allow for comparisons of energy use and emissions sources both within and across sectors. The footprints portray a large amount of information for each sector, including: * Comparison of the energy generated offsite and transferred to facilities versus that generated onsite * Nature and amount of energy consumed by end use within facilities * Magnitude of the energy lost both outside and inside facility boundaries * Magnitude of the greenhouse gas emissions released as a result of manufacturing energy use. Energy losses indicate opportunities to improve efficiency by implementing energy management best practices, upgrading energy systems, and developing new technologies. Footprints are available below for each sector. Data is presented in two levels of detail. The first page provides a high- level snapshot of the offsite and onsite energy flow, and the second page shows the detail for onsite generation and end use of energy. The principle energy use data source is the U.S. Department of Energy (DOE) Energy Information Administration's (EIA's) Manufacturing Energy Consumption Survey (MECS), for consumption in the year 2006, when the survey was last completed.

  6. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

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

    That increase in supply has in turn lowered the price of natural gas to manufacturers Manufacturing Energy Consumption Data Show Large Reductions in Both Manufacturing Energy Use ...

  7. Manufacturing Energy Consumption Survey (MECS) - Analysis & Projection...

    Gasoline and Diesel Fuel Update (EIA)

    Most grades of steel used today - particularly high-strength steels that are lighter and more versatile - were not available a decade ago. Chemical Industry Analysis The chemical ...

  8. MECS 2006 - Alumina and Aluminum | Department of Energy

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

    Alumina and Aluminum MECS 2006 - Alumina and Aluminum Manufacturing Energy and Carbon Footprint for Alumina and Aluminum Sector (NAICS 3313) with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Alumina and Aluminum More Documents & Publications Alumina and Aluminum (2010 MECS) MECS 2006 - Cement MECS 2006 - Glass

  9. MECS 2006 - Computer, Electronics and Appliances | Department of Energy

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

    Computer, Electronics and Appliances MECS 2006 - Computer, Electronics and Appliances Manufacturing Energy Footprint for Computer, Electronics and Appliances (NAICS 334, 335) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Computers, Electronics, and Electrical Equipment More Documents & Publications MECS 2006 - Cement MECS 2006 - Glass MECS 2006 - Plastics

  10. MECS 2006 - Food and Beverage | Department of Energy

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

    Food and Beverage MECS 2006 - Food and Beverage Manufacturing Energy and Carbon Footprint for Food and Beverage (NAICS 311, 312) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Food and Beverage More Documents & Publications Food and Beverage (2010 MECS) MECS 2006 - Alumina and Aluminum MECS 2006 - Cement

  11. Alumina and Aluminum (2010 MECS) | Department of Energy

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

    Alumina and Aluminum (2010 MECS) Alumina and Aluminum (2010 MECS) Manufacturing Energy and Carbon Footprint for Alumina and Aluminum Sector (NAICS 3313) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Alumina and Aluminum More Documents & Publications MECS 2006 - Alumina and Aluminum Cement (2010 MECS) Glass and Glass Products (2010 MECS) Manufacturing

  12. Glass and Glass Products (2010 MECS) | Department of Energy

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

    Glass and Glass Products (2010 MECS) Glass and Glass Products (2010 MECS) Manufacturing Energy and Carbon Footprint for Glass Sector (NAICS 3272, 327993) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Glass and Glass Products More Documents & Publications MECS 2006 - Glass Textiles (2010 MECS) Computers, Electronics and Electrical Equipment (2010 MECS)

  13. MECS 2006 - Foundries | Department of Energy

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

    Foundries MECS 2006 - Foundries Manufacturing Energy and Carbon Footprint for Foundries (NAICS 3315) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Foundries More Documents & Publications Foundries

  14. MECS 2006 - Glass | Department of Energy

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

    Glass MECS 2006 - Glass Manufacturing Energy and Carbon Footprint for Glass (NAICS 3272, 327993) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Glass More Documents & Publications Glass and Glass Products

  15. MECS 2006 - Textiles | Department of Energy

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

    Textiles MECS 2006 - Textiles Manufacturing Energy and Carbon Footprint for Textiles (NAICS 313-316) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Textiles More Documents & Publications Textiles

  16. MECS 2006 - Transportation Equipment | Department of Energy

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

    Transportation Equipment MECS 2006 - Transportation Equipment Manufacturing Energy and Carbon Footprint for Transportation Equipment (NAICS 336) Sector with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Transportation Equipment More Documents & Publications Transportation Equipment

  17. Plastics and Rubber Products (2010 MECS) | Department of Energy

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

    Plastics and Rubber Products (2010 MECS) Plastics and Rubber Products (2010 MECS) Manufacturing Energy and Carbon Footprint for Plastics Sector (NAICS 326) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Plastics and Rubber Products More Documents & Publications MECS 2006 - Plastics Fabricated Metals (2010 MECS) Computers, Electronics and Electrical

  18. Food and Beverage (2010 MECS) | Department of Energy

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

    Food and Beverage (2010 MECS) Food and Beverage (2010 MECS) Manufacturing Energy and Carbon Footprint for Food and Beverage Sector (NAICS 311, 312) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Food and Beverage More Documents & Publications MECS 2006 - Food and Beverage All Manufacturing (2010 MECS) Cement

  19. Structure of the MecI repressor from Staphylococcus aureus in complex with the cognate DNA operator of mec

    SciTech Connect (OSTI)

    Safo, Martin K.; Ko, Tzu-Ping; Musayev, Faik N.; Zhao, Qixun; Archer, Gordon L.

    2006-04-01

    The up-and-down binding of dimeric MecI to mecA dyad DNA may account for the cooperative effect of the repressor. The dimeric repressor MecI regulates the mecA gene that encodes the penicillin-binding protein PBP-2a in methicillin-resistant Staphylococcus aureus (MRSA). MecI is similar to BlaI, the repressor for the blaZ gene of β-lactamase. MecI and BlaI can bind to both operator DNA sequences. The crystal structure of MecI in complex with the 32 base-pair cognate DNA of mec was determined to 3.8 Å resolution. MecI is a homodimer and each monomer consists of a compact N-terminal winged-helix domain, which binds to DNA, and a loosely packed C-terminal helical domain, which intertwines with its counter-monomer. The crystal contains horizontal layers of virtual DNA double helices extending in three directions, which are separated by perpendicular DNA segments. Each DNA segment is bound to two MecI dimers. Similar to the BlaI–mec complex, but unlike the MecI–bla complex, the MecI repressors bind to both sides of the mec DNA dyad that contains four conserved sequences of TACA/TGTA. The results confirm the up-and-down binding to the mec operator, which may account for cooperative effect of the repressor.

  20. MECS 1991 Publications and Tables

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

    Capability To Switch Fuels Appendices Appendix A. Detailed Tables Appendix B. Survey Design, Implementation, and Estimates (file size 141,211 bytes) pages: 22. Appendix C....

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

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

    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 ...

  2. Computers, Electronics and Electrical Equipment (2010 MECS) | Department of

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

    Energy Computers, Electronics and Electrical Equipment (2010 MECS) Computers, Electronics and Electrical Equipment (2010 MECS) Manufacturing Energy and Carbon Footprint for Computers, Electronics and Electrical Equipment Sector (NAICS 334, 335) Energy use data source: 2010 EIA MECS (with adjustments) Footprint Last Revised: February 2014 View footprints for other sectors here. Manufacturing Energy and Carbon Footprint PDF icon Computers, Electronics and Electrical Equipment More Documents

  3. MECS 2006 - Iron and Steel | Department of Energy

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

    Iron and Steel MECS 2006 - Iron and Steel Manufacturing Energy and Carbon Footprint for Iron and Steel Sector (NAICS 3311, 3312) with Total Energy Input, October 2012 (MECS 2006) All available footprints and supporting documents Manufacturing Energy and Carbon Footprint PDF icon Iron and Steel More Documents & Publications Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006

  4. Technical support document for proposed 1994 revision of the MEC thermal envelope requirements

    SciTech Connect (OSTI)

    Conner, C.C.; Lucas, R.G.

    1994-03-01

    This report documents the development of the proposed revision of the Council of American Building Officials` (CABO) 1994 supplement to the 1993 Model Energy Code (MEC) building thermal envelope requirements for maximum component U{sub 0}-value. The 1994 amendments to the 1993 MEC were established in last year`s code change cycle and did not change the envelope requirements. The research underlying the proposed MEC revision was conducted by Pacific Northwest Laboratory (PNL) for the US Department of Energy (DOE) Building Energy Standards program. The goal of this research was to develop revised guidelines based on an objective methodology that determines the most cost-effective (least total cost) combination of energy conservation measures (ECMs) (insulation levels and window types) for residential buildings. This least-cost set of ECMs was used as a basis for proposing revised MEC maximum U{sub 0}-values (thermal transmittances). ECMs include window types (for example, double-pane vinyl) and insulation levels (for example, R-19) for ceilings, walls, and floors.

  5. Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), January 2014 (MECS 2010)

    Energy Savers [EERE]

    3311, 3312), October 2012 (MECS 2006) | Department of Energy - Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006) Manufacturing Energy and Carbon Footprint - Sector: Iron and Steel (NAICS 3311, 3312), October 2012 (MECS 2006) PDF icon steel_footprint_2012.pdf More Documents & Publications MECS 2006 - Iron and Steel Iron and Steel (2010 MECS) MECS 2006 - Cement

    Iron and Steel (NAICS 3311, 3312) Process Energy Electricity and Steam Generation Losses Process Losses 49

  6. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy...

    Gasoline and Diesel Fuel Update (EIA)

    Most grades of steel used today - particularly high-strength steels that are lighter and more versatile - were not available a decade ago. Chemical Industry Analysis The chemical ...

  7. Manufacturing Energy Consumption Survey (MECS) - U.S. Energy...

    Gasoline and Diesel Fuel Update (EIA)

    ... Electricity: A form of energy generated by friction, induction, or chemical change that is ... direct process end use in which electricity is used to cause a chemical transformation. ...

  8. OzDES multifibre spectroscopy for the Dark Energy Survey: First-year operation and results

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

    Yuan, Fang

    2015-07-29

    The Australian Dark Energy Survey (OzDES) is a five-year, 100-night, spectroscopic survey on the Anglo-Australian Telescope, whose primary aim is to measure redshifts of approximately 2500 Type Ia supernovae host galaxies over the redshift range 0.1 < z < 1.2, and derive reverberation-mapped black hole masses for approximately 500 active galactic nuclei and quasars over 0.3 < z < 4.5. This treasure trove of data forms a major part of the spectroscopic follow-up for the Dark Energy Survey for which we are also targeting cluster galaxies, radio galaxies, strong lenses, and unidentified transients, as well as measuring luminous red galaxiesmore » and emission line galaxies to help calibrate photometric redshifts. Here, we present an overview of the OzDES programme and our first-year results. Between 2012 December and 2013 December, we observed over 10 000 objects and measured more than 6 000 redshifts. Our strategy of retargeting faint objects across many observing runs has allowed us to measure redshifts for galaxies as faint as mr = 25 mag. We outline our target selection and observing strategy, quantify the redshift success rate for different types of targets, and discuss the implications for our main science goals. In conclusion, we highlight a few interesting objects as examples of the fortuitous yet not totally unexpected discoveries that can come from such a large spectroscopic survey.« less

  9. OzDES multifibre spectroscopy for the Dark Energy Survey: First-year operation and results

    SciTech Connect (OSTI)

    Yuan, Fang

    2015-07-29

    The Australian Dark Energy Survey (OzDES) is a five-year, 100-night, spectroscopic survey on the Anglo-Australian Telescope, whose primary aim is to measure redshifts of approximately 2500 Type Ia supernovae host galaxies over the redshift range 0.1 < z < 1.2, and derive reverberation-mapped black hole masses for approximately 500 active galactic nuclei and quasars over 0.3 < z < 4.5. This treasure trove of data forms a major part of the spectroscopic follow-up for the Dark Energy Survey for which we are also targeting cluster galaxies, radio galaxies, strong lenses, and unidentified transients, as well as measuring luminous red galaxies and emission line galaxies to help calibrate photometric redshifts. Here, we present an overview of the OzDES programme and our first-year results. Between 2012 December and 2013 December, we observed over 10 000 objects and measured more than 6 000 redshifts. Our strategy of retargeting faint objects across many observing runs has allowed us to measure redshifts for galaxies as faint as mr = 25 mag. We outline our target selection and observing strategy, quantify the redshift success rate for different types of targets, and discuss the implications for our main science goals. In conclusion, we highlight a few interesting objects as examples of the fortuitous yet not totally unexpected discoveries that can come from such a large spectroscopic survey.

  10. Manufacturing Energy and Carbon Footprints (2006 MECS) | Department of

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

    Energy Manufacturing Energy and Carbon Footprints (2006 MECS) Manufacturing Energy and Carbon Footprints (2006 MECS) Energy and Carbon Footprints provide a mapping of energy from supply to end use in manufacturing. They show us where energy is used and lost-and where greenhouse gases (GHGs) are emitted. Footprints are available below for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. Analysis of these footprints is also

  11. PHOTOMETRIC CALIBRATION OF THE FIRST 1.5 YEARS OF THE PAN-STARRS1 SURVEY

    SciTech Connect (OSTI)

    Schlafly, E. F.; Finkbeiner, D. P.; Stubbs, C. W.; Juric, M.; Magnier, E. A.; Burgett, W. S.; Chambers, K. C.; Hodapp, K. W.; Kaiser, N.; Kudritzki, R.-P.; Morgan, J. S.; Tonry, J. L.; Wainscoat, R. J.; Grav, T.; Martin, N. F.; Rix, H.-W.; Price, P. A.

    2012-09-10

    We present a precise photometric calibration of the first 1.5 years of science imaging from the Pan-STARRS1 survey (PS1), an ongoing optical survey of the entire sky north of declination -30 Degree-Sign in five bands. Building on the techniques employed by Padmanabhan et al. in the Sloan Digital Sky Survey (SDSS), we use repeat PS1 observations of stars to perform the relative calibration of PS1 in each of its five bands, simultaneously solving for the system throughput, the atmospheric transparency, and the large-scale detector flat field. Both internal consistency tests and comparison against the SDSS indicate that we achieve relative precision of <10 mmag in g, r, and i{sub P1}, and {approx}10 mmag in z and y{sub P1}. The spatial structure of the differences with the SDSS indicates that errors in both the PS1 and SDSS photometric calibration contribute similarly to the differences. The analysis suggests that both the PS1 system and the Haleakala site will enable <1% photometry over much of the sky.

  12. National radon database documentation. Volume 4. The EPA/state residential radon surveys: Year 4. Final report 1986-1992

    SciTech Connect (OSTI)

    Not Available

    1993-01-01

    The National Radon Database has been developed by the U.S. Environmental Protection Agency (EPA) to distribute information collected in two recently completed radon surveys: the EPA/State Residential Radon Surveys, Years 1 to 6; and The National Residential Radon Survey. The goals of the state radon surveys were twofold. Some measure of the distribution of radon levels among residences was desired for major geographic areas within each state and for each state as a whole. In addition, it was desired that each state survey would be able to identify areas of potentially high residential radon concentrations (hot spots) in the state, enabling the state to focus its attention on areas where indoor radon concentrations might pose a greater health threat. The document discusses year 4, 1989-90. The areas surveyed are: California; Hawaii; Idaho; Louisiana; Nebraska; Billings, MT IHS Area; Nevada; North Carolina; Oklahoma; South Carolina; and Navajo Nation.

  13. OzDES multifibre spectroscopy for the Dark Energy Survey: First-year operation and results

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

    Yuan, Fang; Plazas, A. A.; Lidman, C.; Davis, T. M.; Childress, M.; Abdalla, F. B.

    2015-07-29

    OzDES is a five-year, 100-night, spectroscopic survey on the Anglo-Australian Telescope, whose primary aim is to measure redshifts of approximately 2,500 Type Ia supernovae host galaxies over the redshift range 0.1 morehelp calibrate photometric redshifts. Here we present an overview of the OzDES program and our first-year results. Between Dec 2012 and Dec 2013, we observed over 10,000 objects and measured more than 6,000 redshifts. Our strategy of retargeting faint objects across many observing runs has allowed us to measure redshifts for galaxies as faint as mr = 25 mag. We outline our target selection and observing strategy, quantify the redshift success rate for different types of targets, and discuss the implications for our main science goals. Finally, we highlight a few interesting objects as examples of the fortuitous yet not totally unexpected discoveries that can come from such a large spectroscopic survey.less

  14. Scheduling-shutdown-2014-MEC v4 web.xlsx

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

    Fri Sat Sun Mon Tue MEC Glenzer Optical-laser-only Glenzer Optical-laser-only Glenzer Albert Optical-laser-only Albert Oct 14 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21...

  15. Eight new Milky Way companions discovered in first-year Dark Energy Survey data

    SciTech Connect (OSTI)

    Bechtol, K.; et al.

    2015-06-30

    We report the discovery of eight new Milky Way companions in $\\sim 1800\\;{\\mathrm{deg}}^{2}$ of optical imaging data collected during the first year of the Dark Energy Survey (DES). Each system is identified as a statistically significant over-density of individual stars consistent with the expected isochrone and luminosity function of an old and metal-poor stellar population. The objects span a wide range of absolute magnitudes (MV from $-2.2$ to $-7.4\\;\\mathrm{mag}$), physical sizes ($10-170\\;\\mathrm{pc}$), and heliocentric distances ($30-330\\;\\mathrm{kpc}$). Based on the low surface brightnesses, large physical sizes, and/or large Galactocentric distances of these objects, several are likely to be new ultra-faint satellite galaxies of the Milky Way and/or Magellanic Clouds. We introduce a likelihood-based algorithm to search for and characterize stellar over-densities, as well as identify stars with high satellite membership probabilities. As a result, we also present completeness estimates for detecting ultra-faint galaxies of varying luminosities, sizes, and heliocentric distances in the first-year DES data.

  16. Eight new Milky Way companions discovered in first-year Dark Energy Survey data

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

    Bechtol, K.

    2015-06-30

    We report the discovery of eight new Milky Way companions inmore » $$\\sim 1800\\;{\\mathrm{deg}}^{2}$$ of optical imaging data collected during the first year of the Dark Energy Survey (DES). Each system is identified as a statistically significant over-density of individual stars consistent with the expected isochrone and luminosity function of an old and metal-poor stellar population. The objects span a wide range of absolute magnitudes (MV from $-2.2$ to $$-7.4\\;\\mathrm{mag}$$), physical sizes ($$10-170\\;\\mathrm{pc}$$), and heliocentric distances ($$30-330\\;\\mathrm{kpc}$$). Based on the low surface brightnesses, large physical sizes, and/or large Galactocentric distances of these objects, several are likely to be new ultra-faint satellite galaxies of the Milky Way and/or Magellanic Clouds. We introduce a likelihood-based algorithm to search for and characterize stellar over-densities, as well as identify stars with high satellite membership probabilities. As a result, we also present completeness estimates for detecting ultra-faint galaxies of varying luminosities, sizes, and heliocentric distances in the first-year DES data.« less

  17. Eight ultra-faint galaxy candidates discovered in year two of the Dark Energy Survey

    SciTech Connect (OSTI)

    Drlica-Wagner, A.

    2015-11-04

    We report the discovery of eight new ultra-faint dwarf galaxy candidates in the second year of optical imaging data from the Dark Energy Survey (DES). Six of these candidates are detected at high confidence, while two lower-confidence candidates are identified in regions of non-uniform survey coverage. The new stellar systems are found by three independent automated search techniques and are identified as overdensities of stars, consistent with the isochrone and luminosity function of an old and metal-poor simple stellar population. The new systems are faint (MV > -4.7 ) and span a range of physical sizes (17 pc < r1/2 < 181pc) and heliocentric distances (25 kpc < D? < 214 kpc). All of the new systems have central surface brightnesses consistent with known ultra-faint dwarf galaxies (? 27.5 mag arcsec -2). Roughly half of the DES candidates are more distant, less luminous, and/or have lower surface brightnesses than previously known Milky Way satellite galaxies. Most of the candidates are found in the southern part of the DES footprint close to the Magellanic Clouds. We find that the DES data alone exclude (p < 10-3) a spatially isotropic distribution of Milky Way satellites and that the observed distribution can be well, though not uniquely, described by an association between several of the DES satellites and the Magellanic system. Furthermore, our model predicts that the full sky may hold ~100 ultra-faint galaxies with physical properties comparable to the DES satellites and that 20%30% of these would be spatially associated with the Magellanic Clouds.

  18. Eight ultra-faint galaxy candidates discovered in year two of the Dark Energy Survey

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

    Drlica-Wagner, A.

    2015-11-04

    We report the discovery of eight new ultra-faint dwarf galaxy candidates in the second year of optical imaging data from the Dark Energy Survey (DES). Six of these candidates are detected at high confidence, while two lower-confidence candidates are identified in regions of non-uniform survey coverage. The new stellar systems are found by three independent automated search techniques and are identified as overdensities of stars, consistent with the isochrone and luminosity function of an old and metal-poor simple stellar population. The new systems are faint (MV > -4.7 ) and span a range of physical sizes (17 pc < r1/2more » < 181pc) and heliocentric distances (25 kpc < D⊙ < 214 kpc). All of the new systems have central surface brightnesses consistent with known ultra-faint dwarf galaxies (μ 27.5 mag arcsec -2). Roughly half of the DES candidates are more distant, less luminous, and/or have lower surface brightnesses than previously known Milky Way satellite galaxies. Most of the candidates are found in the southern part of the DES footprint close to the Magellanic Clouds. We find that the DES data alone exclude (p < 10-3) a spatially isotropic distribution of Milky Way satellites and that the observed distribution can be well, though not uniquely, described by an association between several of the DES satellites and the Magellanic system. Furthermore, our model predicts that the full sky may hold ~100 ultra-faint galaxies with physical properties comparable to the DES satellites and that 20%–30% of these would be spatially associated with the Magellanic Clouds.« less

  19. Surveys

    Broader source: Energy.gov [DOE]

    Surveys can be a useful way to gauge the opinions of your readers and learn more about your website's audiences, but you'll often need approval from the Office of Management and Budget (OMB) to run...

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

    SciTech Connect (OSTI)

    Davis, J.; Swenson, A.

    1998-07-01

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

  1. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2014 AVERAGE AGE 48.6 UNDER 30 2 30-39 5 40-49 8 50-59 17 60-69 3 70 AND UP 0 YEAR 2014 AVERAGE LENGTH 16.3 LESS THAN 10 YEARS 11 10-19 YEARS 10 20-29 YEARS 11 30-39 YEARS 3 ...

  2. First-Year Spectroscopy for the SDSS-II Supernova Survey

    SciTech Connect (OSTI)

    Zheng, Chen; Romani, Roger W.; Sako, Masao; Marriner, John; Bassett, Bruce; Becker, Andrew; Choi, Changsu; Cinabro, David; DeJongh, Fritz; Depoy, Darren L.; Dilday, Ben; Doi, Mamoru; Frieman, Joshua A.; Garnavich, Peter M.; Hogan, Craig J.; Holtzman, Jon; Im, Myungshin; Jha, Saurabh; Kessler, Richard; Konishi, Kohki; Lampeitl, Hubert

    2008-03-25

    This paper presents spectroscopy of supernovae discovered in the first season of the Sloan Digital Sky Survey-II Supernova Survey. This program searches for and measures multi-band light curves of supernovae in the redshift range z = 0.05-0.4, complementing existing surveys at lower and higher redshifts. Our goal is to better characterize the supernova population, with a particular focus on SNe Ia, improving their utility as cosmological distance indicators and as probes of dark energy. Our supernova spectroscopy program features rapid-response observations using telescopes of a range of apertures, and provides confirmation of the supernova and host-galaxy types as well as precise redshifts. We describe here the target identification and prioritization, data reduction, redshift measurement, and classification of 129 SNe Ia, 16 spectroscopically probable SNe Ia, 7 SNe Ib/c, and 11 SNe II from the first season. We also describe our efforts to measure and remove the substantial host galaxy contamination existing in the majority of our SN spectra.

  3. YEAR

    National Nuclear Security Administration (NNSA)

    69 YEAR 2014 Males 34 Females 35 YEAR 2014 SES 5 EJEK 1 EN 05 8 EN 04 5 NN (Engineering) 27 NQ (ProfTechAdmin) 22 NU (TechAdmin Support) 1 YEAR 2014 American Indian Alaska...

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    National Nuclear Security Administration (NNSA)

    42 YEAR 2014 Males 36 Females 6 PAY PLAN YEAR 2014 SES 2 EJEK 5 EN 05 7 EN 04 6 EN 03 1 NN (Engineering) 15 NQ (ProfTechAdmin) 6 YEAR 2014 American Indian Alaska Native Male...

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    National Nuclear Security Administration (NNSA)

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    National Nuclear Security Administration (NNSA)

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    92 YEAR 2012 Males 52 Females 40 YEAR 2012 SES 1 EJEK 7 EN 04 13 EN 03 1 NN (Engineering) 27 NQ (ProfTechAdmin) 38 NU (TechAdmin Support) 5 YEAR 2012 American Indian Male 0...

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    National Nuclear Security Administration (NNSA)

    558 YEAR 2013 Males 512 Females 46 YEAR 2013 SES 2 EJEK 2 EN 04 1 NN (Engineering) 11 NQ (ProfTechAdmin) 220 NU (TechAdmin Support) 1 NV (Nuc Mat Courier) 321 YEAR 2013...

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    National Nuclear Security Administration (NNSA)

    11 YEAR 2012 Males 78 Females 33 YEAR 2012 SES 2 EJEK 9 EN 05 1 EN 04 33 NN (Engineering) 32 NQ (ProfTechAdmin) 31 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 2...

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    National Nuclear Security Administration (NNSA)

    300 YEAR 2011 Males 109 Females 191 YEAR 2011 SES 9 EJEK 1 NN (Engineering) 2 NQ (ProfTechAdmin) 203 NU (TechAdmin Support) 38 NF (Future Ldrs) 47 YEAR 2011 American Indian...

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    National Nuclear Security Administration (NNSA)

    02 YEAR 2011 Males 48 Females 54 YEAR 2011 SES 5 EJEK 1 NN (Engineering) 13 NQ (ProfTechAdmin) 80 NU (TechAdmin Support) 3 YEAR 2011 American Indian Male 0 American Indian...

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    National Nuclear Security Administration (NNSA)

    8 YEAR 2013 Males 27 Females 11 YEAR 2013 SES 1 EN 05 1 EN 04 11 NN (Engineering) 8 NQ (ProfTechAdmin) 15 NU (TechAdmin Support) 2 YEAR 2013 American Indian Alaska Native Male...

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    National Nuclear Security Administration (NNSA)

    31 YEAR 2013 Males 20 Females 11 YEAR 2013 SES 2 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 12 NU (TechAdmin Support) 1 YEAR 2013 American Indian Alaska Native Male (AIAN,...

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    National Nuclear Security Administration (NNSA)

    16 YEAR 2012 Males 84 Females 32 YEAR 2012 SES 26 EJEK 2 EN 05 9 NN (Engineering) 39 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 10 YEAR 2012 American Indian Male 0 American...

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    34 YEAR 2012 Males 66 Females 68 YEAR 2012 SES 6 NN (Engineering) 15 NQ (ProfTechAdmin) 110 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 1 American Indian Female 2...

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    86 YEAR 2012 Males 103 Females 183 YEAR 2012 SES 7 EJEK 1 NN (Engineering) 1 NQ (ProfTechAdmin) 202 NU (TechAdmin Support) 30 NF (Future Ldrs) 45 YEAR 2012 American Indian Male...

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    National Nuclear Security Administration (NNSA)

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    1 YEAR 2012 Males 30 Females 11 YEAR 2012 SES 1 EN 05 1 EN 04 11 NN (Engineering) 9 NQ (ProfTechAdmin) 17 NU (TechAdmin Support) 2 YEAR 2012 American Indian Male 0 American...

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    National Nuclear Security Administration (NNSA)

    96 YEAR 2013 Males 69 Females 27 YEAR 2013 SES 1 EJEK 9 EN 04 27 NN (Engineering) 26 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska Native Male...

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    National Nuclear Security Administration (NNSA)

    31 YEAR 2012 Males 19 Females 12 YEAR 2012 SES 2 EN 04 4 NN (Engineering) 12 NQ (ProfTechAdmin) 12 NU (TechAdmin Support) 1 YEAR 2012 American Indian Male 0 American Indian...

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    National Nuclear Security Administration (NNSA)

    0 YEAR 2013 Males 48 Females 32 YEAR 2013 SES 2 EJEK 7 EN 04 11 EN 03 1 NN (Engineering) 23 NQ (ProfTechAdmin) 33 NU (TechAdmin Support) 3 YEAR 2013 American Indian Alaska...

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    National Nuclear Security Administration (NNSA)

    40 YEAR 2011 Males 68 Females 72 YEAR 2011 SES 5 EJEK 1 NN (Engineering) 16 NQ (ProfTechAdmin) 115 NU (TechAdmin Support) 3 YEAR 2011 American Indian Male 1 American Indian...

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    National Nuclear Security Administration (NNSA)

    00 YEAR 2012 Males 48 Females 52 YEAR 2012 SES 5 EJEK 1 NN (Engineering) 11 NQ (ProfTechAdmin) 80 NU (TechAdmin Support) 3 YEAR 2012 American Indian Male 0 American Indian...

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    National Nuclear Security Administration (NNSA)

    137 YEAR 2013 Males 90 Females 47 YEAR 2013 SES 2 SL 1 EJEK 30 EN 04 30 EN 03 2 NN (Engineering) 23 NQ (ProfTechAdmin) 45 NU (TechAdmin Support) 4 YEAR 2013 American Indian...

  5. YEAR

    National Nuclear Security Administration (NNSA)

    of Employees 14 GENDER YEAR 2012 Males 9 Females 5 YEAR 2012 SES 2 EJEK 2 NN (Engineering) 4 NQ (ProfTechAdmin) 6 YEAR 2012 American Indian Male 0 American Indian Female 0...

  6. YEAR

    National Nuclear Security Administration (NNSA)

    3 YEAR 2012 Males 21 Females 22 YEAR 2012 SES 3 EJEK 1 EN 03 1 NN (Engineering) 3 NQ (ProfTechAdmin) 30 NU (TechAdmin Support) 5 YEAR 2012 American Indian Male 0 American...

  7. Structure of the Mecl Repressor from Staphylococcus aureus in Complex with the Cognate DNA Operator of mec

    SciTech Connect (OSTI)

    Safo,M.; Ko, T.; Musayev, F.; Zhao, Q.; Wang, A.; Archer, G.

    2006-01-01

    The dimeric repressor MecI regulates the mecA gene that encodes the penicillin-binding protein PBP-2a in methicillin-resistant Staphylococcus aureus (MRSA). MecI is similar to BlaI, the repressor for the blaZ gene of {beta}-lactamase. MecI and BlaI can bind to both operator DNA sequences. The crystal structure of MecI in complex with the 32 base-pair cognate DNA of mec was determined to 3.8 Angstroms resolution. MecI is a homodimer and each monomer consists of a compact N-terminal winged-helix domain, which binds to DNA, and a loosely packed C-terminal helical domain, which intertwines with its counter-monomer. The crystal contains horizontal layers of virtual DNA double helices extending in three directions, which are separated by perpendicular DNA segments. Each DNA segment is bound to two MecI dimers. Similar to the BlaI-mec complex, but unlike the MecI-bla complex, the MecI repressors bind to both sides of the mec DNA dyad that contains four conserved sequences of TACA/TGTA. The results confirm the up-and-down binding to the mec operator, which may account for cooperative effect of the repressor.

  8. YEAR

    National Nuclear Security Administration (NNSA)

    Males 139 Females 88 YEAR 2012 SES 13 EX 1 EJEK 8 EN 05 23 EN 04 20 EN 03 2 NN (Engineering) 91 NQ (ProfTechAdmin) 62 NU (TechAdmin Support) 7 YEAR 2012 American Indian...

  9. YEAR

    National Nuclear Security Administration (NNSA)

    563 YEAR 2012 Males 518 Females 45 YEAR 2012 SES 1 EJEK 2 EN 04 1 EN 03 1 NN (Engineering) 12 NQ (ProfTechAdmin) 209 NU (TechAdmin Support) 2 NV (Nuc Mat Courier) 335 YEAR 2012...

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    7 YEAR 2012 Males 64 Females 33 YEAR 2012 SES 2 EJEK 3 EN 05 1 EN 04 30 EN 03 1 NN (Engineering) 26 NQ (ProfTechAdmin) 32 NU (TechAdmin Support) 2 YEAR 2012 American Indian...

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    4 YEAR 2012 Males 37 Females 7 YEAR 2012 SES 1 EJEK 6 EN 05 5 EN 04 7 EN 03 1 NN (Engineering) 17 NQ (ProfTechAdmin) 6 NU (TechAdmin Support) 1 YEAR 2012 American Indian Male 2...

  12. YEAR

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    7 YEAR 2011 Males 38 Females 9 YEAR 2011 SES 1 EJEK 6 EN 05 5 EN 04 7 EN 03 1 NN (Engineering) 19 NQ (ProfTechAdmin) 7 NU (TechAdmin Support) 1 YEAR 2011 American Indian Male 2...

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    8 YEAR 2013 Males 62 Females 26 YEAR 2013 SES 1 EJEK 3 EN 05 1 EN 04 28 EN 03 1 NN (Engineering) 25 NQ (ProfTechAdmin) 27 NU (TechAdmin Support) 2 YEAR 2013 American Indian...

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    6 YEAR 2012 Males 64 Females 32 YEAR 2012 SES 1 EJEK 5 EN 05 3 EN 04 23 EN 03 9 NN (Engineering) 18 NQ (ProfTechAdmin) 33 NU (TechAdmin Support) 4 YEAR 2012 American Indian...

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  17. The Supernova Legacy Survey: Measurement of Omega_M, Omega_Lambda, and w from the First Year Data Set

    DOE R&D Accomplishments [OSTI]

    Astier, P.; Guy, J.; Regnault, N.; Pain, R.; Aubourg, E.; Balam, D.; Basa, S.; Carlberg, R. G.; Fabbro, S.; Fouchez, D.; Hook, I. M.; Howell, D. A.; Lafoux, H.; Neill, J. D.; Palanque-Delabrouille, N.; Perrett, K.; Pritchet, C. J.; Rich, J.; Sullivan, M.; Taillet, R.; Aldering, G.; Antilogus, P.; Arsenijevic, V.; Balland, C.; Baumont, S.; Bronder, J.; Courtois, H.; Ellis, R. S.; Filiol, M.; Goncalves, A. C.; Goobar, A.; Guide, D.; Hardin, D.; Lusset, V.; Lidman, C.; McMahon, R.; Mouchet, M.; Mourao, A.; Perlmutter, S.; Ripoche, P.; Tao, C.; Walton, N.

    2005-10-14

    We present distance measurements to 71 high redshift type Ia supernovae discovered during the first year of the 5-year Supernova Legacy Survey (SNLS). These events were detected and their multi-color light-curves measured using the MegaPrime/MegaCam instrument at the Canada-France-Hawaii Telescope (CFHT), by repeatedly imaging four one-square degree fields in four bands. Follow-up spectroscopy was performed at the VLT, Gemini and Keck telescopes to confirm the nature of the supernovae and to measure their redshift. With this data set, we have built a Hubble diagram extending to z = 1, with all distance measurements involving at least two bands. Systematic uncertainties are evaluated making use of the multiband photometry obtained at CFHT. Cosmological fits to this first year SNLS Hubble diagram give the following results: {Omega}{sub M} = 0.263 {+-} 0.042 (stat) {+-} 0.032 (sys) for a flat {Lambda}CDM model; and w = -1.023 {+-} 0.090 (stat) {+-} 0.054 (sys) for a flat cosmology with constant equation of state w when combined with the constraint from the recent Sloan Digital Sky Survey measurement of baryon acoustic oscillations.

  18. Digging deeper into the Southern skies: A compact Milky Way companion discovered in first-year Dark Energy Survey data

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

    Luque, E.

    2016-02-09

    Here, the Dark Energy Survey (DES) is a 5000 sq. degree survey in the southern hemisphere, which is rapidly reducing the existing north-south asymmetry in the census of MW satellites and other stellar substructure. We use the first-year DES data down to previously unprobed photometric depths to search for stellar systems in the Galactic halo, therefore complementing the previous analysis of the same data carried out by our group earlier this year. Our search is based on a matched filter algorithm that produces stellar density maps consistent with stellar population models of various ages, metallicities, and distances over the surveymore » area. The most conspicuous density peaks in these maps have been identified automatically and ranked according to their significance and recurrence for different input models. We report the discovery of one additional stellar system besides those previously found by several authors using the same first-year DES data. The object is compact, and consistent with being dominated by an old and metal-poor population. DES J0034-4902 is found at high significance and appears in the DES images as a compact concentration of faint blue point sources at ~ 87 {kpc}.« less

  19. YEAR

    National Nuclear Security Administration (NNSA)

    2012 Males 149 Females 115 YEAR 2012 SES 17 EX 1 EJEK 7 EN 05 2 EN 04 9 EN 03 2 NN (Engineering) 56 NQ (ProfTechAdmin) 165 NU (TechAdmin Support) 4 GS 13 1 YEAR 2012 American...

  20. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 61 Females 24 PAY PLAN YEAR 2014 SES 1 EJ/EK 8 EN 04 22 NN (Engineering) 23 NQ (Prof/Tech/Admin) 28 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 3 African American Male (AA M) 0 African American Female (AA F) 0 Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 13 Hispanic Female (H F) 10 White Male (W M) 43 White Female (W F) 11

  1. YEAR

    National Nuclear Security Administration (NNSA)

    82 YEAR 2014 Males 57 Females 25 PAY PLAN YEAR 2014 SES 3 EJ/EK 4 EN 04 2 NN (Engineering) 20 NQ (Prof/Tech/Admin) 53 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 9 African American Female (AA F) 9 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 3 Hispanic Female (H F) 5 White Male (W M) 43 White Female (W F) 10 DIVERSITY TOTAL WORKFORCE

  2. YEAR

    National Nuclear Security Administration (NNSA)

    93 YEAR 2014 Males 50 Females 43 PAY PLAN YEAR 2014 EJ/EK 3 NN (Engineering) 13 NQ (Prof/Tech/Admin) 74 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 5 African American Female (AA F) 6 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 6 Hispanic Female (H F) 14 White Male (W M) 39 White Female (W F) 21 DIVERSITY

  3. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2014 Males 11 Females 2 PAY PLAN YEAR 2014 SES 2 EJ/EK 1 EN 04 1 NN (Engineering) 5 NQ (Prof/Tech/Admin) 4 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 0 African American Female (AA F) 0 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 10 White Female (W F) 2 DIVERSITY TOTAL WORKFORCE GENDER

  4. YEAR

    National Nuclear Security Administration (NNSA)

    9 YEAR 2014 Males 9 Females 10 YEAR 2014 SES 7 ED 1 EJ/EK 1 EN 05 1 NQ (Prof/Tech/Admin) 8 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 1 African American Female (AA F) 5 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 3 White Male (W M) 7 White Female (W F) 1 PAY PLAN DIVERSITY TOTAL

  5. YEAR

    National Nuclear Security Administration (NNSA)

    5 YEAR 2014 Males 92 Females 43 YEAR 2014 SES 8 EX 1 EJ/EK 4 EN 05 9 EN 04 12 EN 03 2 NN (Engineering) 57 NQ (Prof/Tech/Admin) 42 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 9 African American Female (AA F) 11 Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 12 Hispanic Female (H F) 7 White Male (W M) 66 White Female (W F) 22 PAY PLAN

  6. YEAR

    National Nuclear Security Administration (NNSA)

    563 YEAR 2014 Males 517 Females 46 PAY PLAN YEAR 2014 SES 2 EJ/EK 2 EN 04 1 NN (Engineering) 11 NQ (Prof/Tech/Admin) 218 NU (Tech/Admin Support) 2 NV (Nuc Mat Courier) 327 YEAR 2014 American Indian Alaska Native Male (AIAN M) 14 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 18 African American Female (AA F) 1 Asian American Pacific Islander Male (AAPI M) 8 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 76 Hispanic Female (H F) 21 White Male

  7. YEAR

    National Nuclear Security Administration (NNSA)

    89 YEAR 2014 Males 98 Females 91 PAY PLAN YEAR 2014 SES 14 EX 1 EJ/EK 3 EN 05 1 EN 04 4 EN 03 1 NN (Engineering) 32 NQ (Prof/Tech/Admin) 130 NU (Tech/Admin Support) 2 GS 15 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 5 African American Female (AA F) 14 Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 7 Hispanic Male (H M) 7 Hispanic Female (H F) 10 White Male

  8. YEAR

    National Nuclear Security Administration (NNSA)

    43 YEAR 2014 Males 162 Females 81 PAY PLAN YEAR 2014 SES 26 EJ/EK 3 EN 05 7 NN (Engineering) 77 NQ (Prof/Tech/Admin) 108 NU (Tech/Admin Support) 22 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 5 African American Female (AA F) 9 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 2 Hispanic Female (H F) 0 White Male (W M) 154 White Female (W F)

  9. YEAR

    National Nuclear Security Administration (NNSA)

    74 YEAR 2014 Males 96 Females 78 PAY PLAN YEAR 2014 SES 8 EJ/EK 4 EN 04 11 EN 03 1 NN (Engineering) 34 NQ (Prof/Tech/Admin) 113 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 11 Asian American Pacific Islander Male (AAPI M) 5 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 25 Hispanic Female (H F) 25 White Male (W M) 61 White

  10. YEAR

    National Nuclear Security Administration (NNSA)

    4 YEAR 2014 Males 7 Females 7 PAY PLAN YEAR 2014 SES 1 NQ (Prof/Tech/Admin) 7 GS 15 1 GS 14 2 GS 13 2 GS 10 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 3 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 4 White Female (W F) 5 DIVERSITY TOTAL WORKFORCE GENDER

  11. YEAR

    National Nuclear Security Administration (NNSA)

    16 YEAR 2014 Males 72 Females 144 PAY PLAN YEAR 2014 SES 8 EJ/EK 1 NQ (Prof/Tech/Admin) 198 NU (Tech/Admin Support) 9 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 10 African American Female (AA F) 38 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 3 Hispanic Male (H M) 15 Hispanic Female (H F) 33 White Male (W M) 44 White Female (W F) 68 DIVERSITY TOTAL

  12. YEAR

    National Nuclear Security Administration (NNSA)

    26 YEAR 2014 Males 81 Females 45 PAY PLAN YEAR 2014 SES 1 SL 1 EJ/EK 25 EN 04 26 EN 03 2 NN (Engineering) 23 NQ (Prof/Tech/Admin) 44 NU (Tech/Admin Support) 4 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 7 Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 68 White

  13. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 10 PAY PLAN YEAR 2014 SES 1 EN 05 1 EN 04 4 NN (Engineering) 12 NQ (Prof/Tech/Admin) 9 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 4 African American Female (AA F) 4 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 13 White Female (W F) 5

  14. YEAR

    National Nuclear Security Administration (NNSA)

    8 YEAR 2014 Males 18 Females 20 PAY PLAN YEAR 2014 SES 3 EJ/EK 1 EN 03 1 NN (Engineering) 3 NQ (Prof/Tech/Admin) 28 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 0 African American Male (AA M) 1 African American Female (AA F) 1 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 4 Hispanic Female (H F) 7 White Male (W M) 13 White Female (W F) 11

  15. YEAR

    National Nuclear Security Administration (NNSA)

    25 Females 10 YEAR 2014 SES 1 EN 04 11 NN (Engineering) 8 NQ (Prof/Tech/Admin) 13 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 0 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 1 African American Female (AA F) 3 Asian American Pacific Islander Male (AAPI M) 0 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 0 Hispanic Female (H F) 0 White Male (W M) 24 White Female (W F) 6 TOTAL WORKFORCE GENDER Kansas City

  16. YEAR

    National Nuclear Security Administration (NNSA)

    9 Females 24 PAY PLAN YEAR 2014 SES 1 EJ/EK 4 EN 05 3 EN 04 22 EN 03 8 NN (Engineering) 15 NQ (Prof/Tech/Admin) 27 NU (Tech/Admin Support) 3 YEAR 2014 American Indian Alaska Native Male (AIAN M) 2 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 5 African American Female (AA F) 2 Asian American Pacific Islander Male (AAPI M) 21 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 5 Hispanic Female (H F) 3 White Male (W M) 26 White Female (W F) 16

  17. YEAR

    National Nuclear Security Administration (NNSA)

    17 Females 18 PAY PLAN YEAR 2014 SES 1 EJ/EK 3 NQ (Prof/Tech/Admin) 30 NU (Tech/Admin Support) 1 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 2 African American Male (AA M) 3 African American Female (AA F) 7 Asian American Pacific Islander Male (AAPI M) 1 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 2 Hispanic Female (H F) 6 White Male (W M) 10 White Female (W F) 3 DIVERSITY TOTAL WORKFORCE GENDER Associate

  18. YEAR

    National Nuclear Security Administration (NNSA)

    8 Females 25 PAY PLAN YEAR 2014 SES 1 EJ/EK 3 EN 05 1 EN 04 25 EN 03 1 NN (Engineering) 25 NQ (Prof/Tech/Admin) 25 NU (Tech/Admin Support) 2 YEAR 2014 American Indian Alaska Native Male (AIAN M) 1 American Indian Alaskan Native Female (AIAN F) 1 African American Male (AA M) 3 African American Female (AA F) 3 Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 46 White Female (W F) 13

  19. YEAR

    National Nuclear Security Administration (NNSA)

    -9.09% YEAR 2012 2013 SES 1 1 0.00% EN 05 1 1 0.00% EN 04 11 11 0.00% NN (Engineering) 8 8 0.00% NQ (ProfTechAdmin) 17 14 -17.65% NU (TechAdmin Support) 2 2...

  20. YEAR

    National Nuclear Security Administration (NNSA)

    Females 863 YEAR 2013 SES 102 EX 3 SL 1 EJEK 89 EN 05 41 EN 04 170 EN 03 18 NN (Engineering) 448 NQ (ProfTechAdmin) 1249 NU (TechAdmin Support) 76 NV (Nuc Mat Courier) 321...

  1. YEAR

    National Nuclear Security Administration (NNSA)

    Females 942 YEAR 2012 SES 108 EX 4 SL 1 EJEK 96 EN 05 45 EN 04 196 EN 03 20 NN (Engineering) 452 NQ (ProfTechAdmin) 1291 NU (TechAdmin Support) 106 NV (Nuc Mat Courier) 335...

  2. YEAR

    National Nuclear Security Administration (NNSA)

    YEAR 2012 2013 SES 2 1 -50.00% EN 05 0 1 100.00% EN 04 4 4 0.00% NN (Engineering) 13 12 -7.69% NQ (ProfTechAdmin) 13 9 -30.77% NU (TechAdmin Support) 1 1...

  3. Year

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

    . U.S. Coal Production, 2009 - 2015 (thousand short tons) Year January - March April - June July - September October - December Total 2009 282,772 263,017 269,339 259,796 1,074,923 2010 265,702 264,982 277,505 276,180 1,084,368 2011 273,478 264,291 275,006 282,853 1,095,628 2012 266,865 241,047 258,956 249,591 1,016,458 2013 244,867 243,211 257,595 239,169 984,842 2014 245,271 245,844 255,377 253,557 1,000,049 2015 240,189 211,130 237,263 207,355 895,936 Note: Total may not equal sum of

  4. Employee Surveys

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

    Employee Surveys

  5. Energy consumption series: Development of the 1991 Manufacturing Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-05-18

    The implementation and results of the proceedings concerning the Energy Information Administration assessment of the Manufacturing Energy Consumption Survey (MECS) are documented in this report. The text and Appendices C, D, and E summarize the background of the MECS data system, the events that led to the MECS redesign, the major issues address during the review process, and the eventual 1991 MECS design that resulted. For many readers, the most useful part of the report may be Appendices A and B, which contain overall summaries of the users' groups and the industrial roundtables. These appendices capture the rationale for additional data needs as provided by the users. Also, they are a rich source of information on how manufacturers deal with energy use day-to-day, how they have addressed the need for energy efficiency improvement in the past, and the opportunities and problems associated with future efforts to improve efficiency. (VC)

  6. Energy consumption series: Development of the 1991 Manufacturing Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-05-18

    The implementation and results of the proceedings concerning the Energy Information Administration assessment of the Manufacturing Energy Consumption Survey (MECS) are documented in this report. The text and Appendices C, D, and E summarize the background of the MECS data system, the events that led to the MECS redesign, the major issues address during the review process, and the eventual 1991 MECS design that resulted. For many readers, the most useful part of the report may be Appendices A and B, which contain overall summaries of the users` groups and the industrial roundtables. These appendices capture the rationale for additional data needs as provided by the users. Also, they are a rich source of information on how manufacturers deal with energy use day-to-day, how they have addressed the need for energy efficiency improvement in the past, and the opportunities and problems associated with future efforts to improve efficiency. (VC)

  7. The U. S. transportation sector in the year 2030: results of a two-part Delphi survey.

    SciTech Connect (OSTI)

    Morrison, G.; Stephens, T.S.

    2011-10-11

    A two-part Delphi Survey was given to transportation experts attending the Asilomar Conference on Transportation and Energy in August, 2011. The survey asked respondents about trends in the US transportation sector in 2030. Topics included: alternative vehicles, high speed rail construction, rail freight transportation, average vehicle miles traveled, truck versus passenger car shares, vehicle fuel economy, and biofuels in different modes. The survey consisted of two rounds -- both asked the same set of seven questions. In the first round, respondents were given a short introductory paragraph about the topic and asked to use their own judgment in their responses. In the second round, the respondents were asked the same questions, but were also given results from the first round as guidance. The survey was sponsored by Argonne National Lab (ANL), the National Renewable Energy Lab (NREL), and implemented by University of California at Davis, Institute of Transportation Studies. The survey was part of the larger Transportation Energy Futures (TEF) project run by the Department of Energy, Office of Energy Efficiency and Renewable Energy. Of the 206 invitation letters sent, 94 answered all questions in the first round (105 answered at least one question), and 23 of those answered all questions in the second round. 10 of the 23 second round responses were at a discussion section at Asilomar, while the remaining were online. Means and standard deviations of responses from Round One and Two are given in Table 1 below. One main purpose of Delphi surveys is to reduce the variance in opinions through successive rounds of questioning. As shown in Table 1, the standard deviations of 25 of the 30 individual sub-questions decreased between Round One and Round Two, but the decrease was slight in most cases.

  8. User Survey | Argonne Leadership Computing Facility

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

    Survey User Survey Results The ALCF conducts yearly surveys to gain a better understanding of how we can improve the user experience at ALCF. Below are the numeric results of these surveys. 2014 ALCF User Survey Results 2013 ALCF User Survey Results 2012 ALCF User Survey Results 2011 ALCF User Survey Results 2010 ALCF User Survey Results 2009 ALCF User Survey Results 2008 ALCF User Survey Results

  9. The moving group targets of the seeds high-contrast imaging survey of exoplanets and disks: Results and observations from the first three years

    SciTech Connect (OSTI)

    Brandt, Timothy D.; Turner, Edwin L.; Janson, M.; Knapp, G. R.; Kuzuhara, Masayuki; McElwain, Michael W.; Schlieder, Joshua E.; Carson, J.; Biller, B.; Bonnefoy, M.; Brandner, W.; Wisniewski, John P.; Hashimoto, J.; Matsuo, T.; Dressing, C.; Moro-Martn, A.; Kudo, T.; Kusakabe, N.; Abe, L.; and others

    2014-05-01

    We present results from the first three years of observations of moving group (MG) targets in the Strategic Exploration of Exoplanets and Disks with Subaru (SEEDS) high-contrast imaging survey of exoplanets and disks using the Subaru telescope. We achieve typical contrasts of ?10{sup 5} at 1'' and ?10{sup 6} beyond 2'' around 63 proposed members of nearby kinematic MGs. We review each of the kinematic associations to which our targets belong, concluding that five, ? Pictoris (?20 Myr), AB Doradus (?100 Myr), Columba (?30 Myr), Tucana-Horogium (?30 Myr), and TW Hydrae (?10 Myr), are sufficiently well-defined to constrain the ages of individual targets. Somewhat less than half of our targets are high-probability members of one of these MGs. For all of our targets, we combine proposed MG membership with other age indicators where available, including Ca II HK emission, X-ray activity, and rotation period, to produce a posterior probability distribution of age. SEEDS observations discovered a substellar companion to one of our targets, ? And, a late B star. We do not detect any other substellar companions, but do find seven new close binary systems, of which one still needs to be confirmed. A detailed analysis of the statistics of this sample, and of the companion mass constraints given our age probability distributions and exoplanet cooling models, will be presented in a forthcoming paper.

  10. Exploring Mbar shock conditions and isochorically heated aluminum at the MEC end station of the LCLS

    SciTech Connect (OSTI)

    Fletcher, L. B.; Lee, H. J.; SLAC, aff; Barbrel, B.; Gauthier, M.; Galtier, E.; Nagler, B.; Doppner, T.; LePape, S.; Ma, T.; Pak, A.; Turnbull, D.; White, T.; Gregori, G.; Wei, M.; Falcone, R. W.; Heimann, P.; Zastrau, U.; Hastings, J. B.; Glenzer, S. H.

    2015-02-05

    Recent experiments performed at the Matter in Extreme Conditions end station (MEC) of the Linac Coherent Light Source (LCLS) have demonstrated the first spectrally resolved measurements of plasmons from isochorically heated aluminum. The experiments have been performed using a seeded 8-keV x-ray laser beam as a pump and probe to both volumetrically heat and scatter x-rays from aluminum. Collective x-ray Thomson scattering spectra show a well-resolved plasmon feature that is down-shifted in energy by 19 eV. In addition, Mbar shock pressures from laser-compressed aluminum foils using Velocity Interferometer System for Any Reflector (VISAR) have been measured. The combination of experiments fully demonstrates the possibility to perform warm dense matter studies at the LCLS with unprecedented accuracy and precision.

  11. Fact #777: April 29, 2013 For the Second Year in a Row, Survey Respondents Consider Fuel Economy Most Important When Purchasing a Vehicle

    Broader source: Energy.gov [DOE]

    A 2012 survey asked the question "Which one of the following attributes would be MOST important to you in your choice of your next vehicle?" The choices were fuel economy, dependability, low price,...

  12. TPA Public Involvement Survey

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

    Hanford Tri-Party Agencies' Annual Public Involvement Survey Activities for Calendar Year 2008 Nolan Curtis Washington State Department of Ecology Nuclear Waste Program August 5,...

  13. 2014 NERSC User Survey

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

    User Survey 2014 NERSC User Survey December 17, 2014 by Francesca Verdier Please take a few minutes to fill out NERSC's annual user survey. Your feedback is important because it allows us to judge the quality of our services, give DOE information on how we are doing, and point us to areas in which we can improve. The survey is on the web at the URL: https://www.nersc.gov/news-publications/publications-reports/user-surveys/2014/ and covers the allocation year 2014. Subscribe via RSS Subscribe

  14. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 13 4 23 12...

  15. EIA Energy Efficiency-Table 1d. Nonfuel Consumption (Site Energy...

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

    d Page Last Modified: May 2010 Table 1d. Nonfuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and...

  16. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    2009. MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 418 435 457 312 Beverage and Tobacco Product Manufacturing 134 116 125 313 Textile...

  17. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    Dollars) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 430 468 552 312 Beverage and Tobacco Product Manufacturing 98 120 131 313 Textile...

  18. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

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

    2009. MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 417 444 526 312 Beverage and Tobacco Product Manufacturing 114 128 144 313 Textile...

  19. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    Dollars ) MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 431 447 473 312 Beverage and Tobacco Product Manufacturing 122 96 109 313 Textile...

  20. Digital Surveying Directional Surveying Specialists | Open Energy...

    Open Energy Info (EERE)

    Surveying Specialists Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Digital Surveying Directional Surveying Specialists Author Directional Surveying...

  1. Monument Survey

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

    Photographs from the WIPP Permanent Marker Monument Survey John Hart & Associates, 2000 Photograph of the Gnome Marker located about 10 miles SW of the WIPP site For more...

  2. radiological. survey

    National Nuclear Security Administration (NNSA)

    7%2A en NNSA to Conduct Aerial Radiological Surveys Over San Francisco, Pacifica, Berkeley, And Oakland, CA Areas http:nnsa.energy.govmediaroompressreleasesamsca

  3. Survey Consumption

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

    purchase diaries from a subset of respondents composing a Household Transportation Panel and is reported separately. Residential Energy Consumption Survey: Consumption and...

  4. Residential Energy Consumption Survey: Quality Profile

    SciTech Connect (OSTI)

    1996-03-01

    The Residential Energy Consumption Survey (RECS) is a periodic national survey that provides timely information about energy consumption and expenditures of U.S. households and about energy-related characteristics of housing units. The survey was first conducted in 1978 as the National Interim Energy Consumption Survey (NIECS), and the 1979 survey was called the Household Screener Survey. From 1980 through 1982 RECS was conducted annually. The next RECS was fielded in 1984, and since then, the survey has been undertaken at 3-year intervals. The most recent RECS was conducted in 1993.

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

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

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

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

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

    Data collection for the 2012 Commercial Buildings Energy Consumption Survey (CBECS) took place between April and November 2013, collecting data for reference year 2012. The goal of ...

  7. Wyoming State Geological Survey | Open Energy Information

    Open Energy Info (EERE)

    navigation, search Name: Wyoming State Geological Survey Abbreviation: WSGS Address: P.O. Box 1347 Place: Laramie, Wyoming Zip: 82073 Year Founded: 1933 Phone Number:...

  8. MECS Fuel Oil Tables

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

    202-586-0018 URL: http:www.eia.govemeuconsumptionbriefsmecsmecsfueloiltables.html For questions about content, please contact the National Energy Information Center:...

  9. restructuring_mecs94

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

    able to participate--on a limited basis and, for the most part, as participants in pilot projects. There is no reason to believe that the restructuring of the electricity market...

  10. Table 2. Percent of Households with Vehicles, Selected Survey...

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

    Percent of Households with Vehicles, Selected Survey Years " ,"Survey Years" ,1983,1985,1988,1991,1994,2001 "Total",85.5450237,89.00343643,88.75545852,89.42917548,87.25590956,92.08...

  11. 2009 - Federal Viewpoint Survey Reports | Department of Energy

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

    09 - Federal Viewpoint Survey Reports 2009 - Federal Viewpoint Survey Reports The 2009 Trend report provides summary results for the Department or Energy's portion of the Federal Employee Viewpoint Survey. The report also shows how the 2009 results compare to the results of previous years. PDF icon 2009 Annual Employee Survey Results PDF icon 2009 Annual Employee Survey Comparison Report PDF icon 2009 Annual Employee Survey Trend Report Responsible Contacts Thomasina Mathews PROGRAM MANAGER

  12. Gamma radiological surveys of the Oak Ridge Reservation, Paducah Gaseous Diffusion Plant, and Portsmouth Gaseous Diffusion Plant, 1990-1993, and overview of data processing and analysis by the Environmental Restoration Remote Sensing Program, Fiscal Year 1995

    SciTech Connect (OSTI)

    Smyre, J.L.; Moll, B.W.; King, A.L.

    1996-06-01

    Three gamma radiological surveys have been conducted under auspices of the ER Remote Sensing Program: (1) Oak Ridge Reservation (ORR) (1992), (2) Clinch River (1992), and (3) Portsmouth Gaseous Diffusion Plant (PORTS) (1993). In addition, the Remote Sensing Program has acquired the results of earlier surveys at Paducah Gaseous Diffusion Plant (PGDP) (1990) and PORTS (1990). These radiological surveys provide data for characterization and long-term monitoring of U.S. Department of Energy (DOE) contamination areas since many of the radioactive materials processed or handled on the ORR, PGDP, and PORTS are direct gamma radiation emitters or have gamma emitting daughter radionuclides. High resolution airborne gamma radiation surveys require a helicopter outfitted with one or two detector pods, a computer-based data acquisition system, and an accurate navigational positioning system for relating collected data to ground location. Sensors measure the ground-level gamma energy spectrum in the 38 to 3,026 KeV range. Analysis can provide gamma emission strength in counts per second for either gross or total man-made gamma emissions. Gross count gamma radiation includes natural background radiation from terrestrial sources (radionuclides present in small amounts in the earth`s soil and bedrock), from radon gas, and from cosmic rays from outer space as well as radiation from man-made radionuclides. Man-made count gamma data include only the portion of the gross count that can be directly attributed to gamma rays from man-made radionuclides. Interpretation of the gamma energy spectra can make possible the determination of which specific radioisotopes contribute to the observed man-made gamma radiation, either as direct or as indirect (i.e., daughter) gamma energy from specific radionuclides (e.g., cesium-137, cobalt-60, uranium-238).

  13. 2012 NERSC User Survey Text

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

    2012 User Survey Text 2010/2011 User Survey Results 2009/2010 User Survey Results 2008/2009 User Survey Results 2007/2008 User Survey Results 2006 User Survey Results 2005 User Survey Results 2004 User Survey Results 2003 User Survey Results 2002 User Survey Results 2001 User Survey Results 2000 User Survey Results 1999 User Survey Results 1998 User Survey Results HPC Requirements for Science HPC Workshop Reports NERSC Staff Publications & Presentations Journal Cover Stories Galleries

  14. Robotic Surveying

    SciTech Connect (OSTI)

    Suzy Cantor-McKinney; Michael Kruzic

    2007-03-01

    ZAPATA ENGINEERING challenged our engineers and scientists, which included robotics expertise from Carnegie Mellon University, to design a solution to meet our client's requirements for rapid digital geophysical and radiological data collection of a munitions test range with no down-range personnel. A prime concern of the project was to minimize exposure of personnel to unexploded ordnance and radiation. The field season was limited by extreme heat, cold and snow. Geographical Information System (GIS) tools were used throughout this project to accurately define the limits of mapped areas, build a common mapping platform from various client products, track production progress, allocate resources and relate subsurface geophysical information to geographical features for use in rapidly reacquiring targets for investigation. We were hopeful that our platform could meet the proposed 35 acres per day, towing both a geophysical package and a radiological monitoring trailer. We held our breath and crossed our fingers as the autonomous Speedrower began to crawl across the playa lakebed. We met our proposed production rate, and we averaged just less than 50 acres per 12-hour day using the autonomous platform with a path tracking error of less than +/- 4 inches. Our project team mapped over 1,800 acres in an 8-week (4 days per week) timeframe. The expertise of our partner, Carnegie Mellon University, was recently demonstrated when their two autonomous vehicle entries finished second and third at the 2005 Defense Advanced Research Projects Agency (DARPA) Grand Challenge. 'The Grand Challenge program was established to help foster the development of autonomous vehicle technology that will some day help save the lives of Americans who are protecting our country on the battlefield', said DARPA Grand Challenge Program Manager, Ron Kurjanowicz. Our autonomous remote-controlled vehicle (ARCV) was a modified New Holland 2550 Speedrower retrofitted to allow the machine-actuated functions to be controlled by an onboard computer. The computer-controlled Speedrower was developed at Carnegie Mellon University to automate agricultural harvesting. Harvesting tasks require the vehicle to cover a field using minimally overlapping rows at slow speeds in a similar manner to geophysical data acquisition. The Speedrower had demonstrated its ability to perform as it had already logged hundreds of acres of autonomous harvesting. This project is the first use of autonomous robotic technology on a large-scale for geophysical surveying.

  15. Helicopter magnetic survey conducted to locate wells

    SciTech Connect (OSTI)

    Veloski, G.A.; Hammack, R.W.; Stamp, V.; Hall, R.; Colina, K.

    2008-07-01

    A helicopter magnetic survey was conducted in August 2007 over 15.6 sq mi at the Naval Petroleum Reserve No. 3s (NPR-3) Teapot Dome Field near Casper, Wyoming. The surveys purpose was to accurately locate wells drilled there during more than 90 years of continuous oilfield operation. The survey was conducted at low altitude and with closely spaced flight lines to improve the detection of wells with weak magnetic response and to increase the resolution of closely spaced wells. The survey was in preparation for a planned CO2 flood for EOR, which requires a complete well inventory with accurate locations for all existing wells. The magnetic survey was intended to locate wells missing from the well database and to provide accurate locations for all wells. The ability of the helicopter magnetic survey to accurately locate wells was accomplished by comparing airborne well picks with well locations from an intense ground search of a small test area.

  16. Y YEAR

    National Nuclear Security Administration (NNSA)

    2 40 -4.76% YEAR 2013 2014 Males 37 35 -5.41% Females 5 5 0% YEAR 2013 2014 SES 2 2 0% EJEK 5 4 -20.00% EN 05 5 7 40.00% EN 04 6 6 0% EN 03 1 1 0% NN...

  17. Y YEAR

    National Nuclear Security Administration (NNSA)

    79 67 -15.19% YEAR 2013 2014 Males 44 34 -22.73% Females 35 33 -5.71% YEAR 2013 2014 SES 6 4 -33.33% EJEK 1 1 0% EN 05 9 8 -11.11% EN 04 6 5 -16.67% NN...

  18. EIA Energy Efficiency-Table 4b. Value of Production by Selected...

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

    b Page Last Modified: May 2010 Table 4b. Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars ) MECS Survey Years NAICS Subsector and Industry...

  19. EIA Energy Efficiency-Table 4a. Value of Shipments by Selected...

    Gasoline and Diesel Fuel Update (EIA)

    Table 4a Page Last Modified: May 2010 Table 4a. Value of Shipments1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars ) MECS Survey Years NAICS Subsector and...

  20. EIA Energy Efficiency-Table 3d. Value Added by Selected Industries...

    Gasoline and Diesel Fuel Update (EIA)

    d Page Last Modified: May 2010 Table 3d. Value Added1 by Selected Industries, 1998, 2002, and 2006 (Current Brillion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  1. EIA Energy Efficiency-Table 3b. Value of Production a by Selected...

    Gasoline and Diesel Fuel Update (EIA)

    and 2006 > Table 3b Page Last Modified: May 2010 Table 3b. Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS...

  2. EIA Energy Efficiency-Table 3a. Value of Shipments by Selected...

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

    a Page Last Modified: May 2010 Table 3a. Value of Shipments 1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry...

  3. EIA Energy Efficiency-Table 3c. Capacity Adjusted Value of Production...

    Gasoline and Diesel Fuel Update (EIA)

    c Page Last Modified: May 2010 Table 3c. Capacity Adjusted Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS...

  4. EIA Energy Efficiency-Table 4d. Value Added by Selected Industries...

    Gasoline and Diesel Fuel Update (EIA)

    d Page Last Modified: May 2010 Table 4d. Value Added1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  5. EIA Energy Efficiency-Table 1b. Fuel Consumption for Selected...

    Gasoline and Diesel Fuel Update (EIA)

    b Page Last Modified: May 2010 Table 1b. End Uses of Fuel Consumption (Site Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector...

  6. EIA Energy Efficiency-Table 4f. Industrial Production Indexes...

    Gasoline and Diesel Fuel Update (EIA)

    f Page Last Modified: May 2010 Table 4f. Industrial Production Indexes by Selected Industries, 1998, 2002, and 2006 (2000 100) MECS Survey Years NAICS Subsector and Industry 1998...

  7. Table 1c. Off-Site Produced Energy (Site Energy)For Selected...

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

    c Page Last Modified: May 2010 Table 1c. Off-Site Produced Energy (Site Energy) for Selected Industries, 1998, 2002 and 2006 (Trillion Btu) MECS Survey Years NAICS Subsector and...

  8. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 4e. Gross Output1by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS Subsector and Industry 1998 2002...

  9. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries...

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

    e Page Last Modified: May 2010 Table 3e. Gross Output1 by Selected Industries, 1998, 2002, and 2006 (Current Billion Dollars) MECS Survey Years NAICS Subsector and Industry 1998...

  10. EIA Energy Efficiency-Table 5f. Economic Indicators a for the...

    Gasoline and Diesel Fuel Update (EIA)

    f Page Last Modified: May 2010 Table 5f. Economic Indicators 1 for the Metalcasting Industry (NAICS 3315), 1998, 2002, and 2006 MECS Survey Years Indicators 1998 2002 2006 Nominal...

  11. EIA Energy Efficiency-Table 2b. Primary Fuel Consumption for...

    Gasoline and Diesel Fuel Update (EIA)

    b Page Last Modified: May 2010 Table 2b. End Uses of Fuel Consumption (Primary 1 Energy) for Selected Industries, 1998, 2002, and 2006 (Trillion Btu) MECS Survey Years NAICS...

  12. EIA Energy Efficiency-Table 5a. Economic and Physical Indicators...

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

    a Page Last Modified: May 2010 Table 5a. Economic and Physical Indicators for the Forest Products Industry, 1998, 2002, and 2006 (NAICS 321 and NAICS 322) MECS Survey Years...

  13. EIA Energy Efficiency-Table 4c. Capacity Adjusted Value of Production...

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

    c Page Last Modified: May 2010 Table 4c. Capacity Adjusted Value of Production 1 by Selected Industries, 1998, 2002, and 2006 (Billion 2000 Dollars 2) MECS Survey Years NAICS...

  14. Energy Information Administration - Energy Efficiency-Table 5b...

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

    b Page Last Modified: June 2010 Table 5b. Consumption of Energy for All Purposes (First Use) per Ton of Steel, 1998, 2002, and 2006 (Million Btu per ton) MECS Survey Years Iron and...

  15. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

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

    Table 6. MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 429 456 539 312 Beverage and Tobacco Product Manufacturing 103 104 125 313 Textile...

  16. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    Sept 2009. MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 430 448 472 312 Beverage and Tobacco Product Manufacturing 121 96 109 313 Textile...

  17. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

    Gasoline and Diesel Fuel Update (EIA)

    Table 2. MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 428 460 537 312 Beverage and Tobacco Product Manufacturing 102 106 124 313 Textile...

  18. file://C:\\Documents and Settings\\bh5\\My Documents\\Energy Effici

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

    2009. MECS Survey Years NAICS Subsector and Industry 1998 2002 2006 311 Food Manufacturing 97.3 102.6 107.9 312 Beverage and Tobacco Product Manufacturing 109.0 90.0 99.4...

  19. Geothermal Energy Growth Continues, Industry Survey Reports

    Broader source: Energy.gov [DOE]

    A survey released by the Geothermal Energy Association (GEA) shows continued growth in the number of new geothermal power projects under development in the United States, a 20% increase since January of this year.

  20. STEP Participant Survey Report

    Broader source: Energy.gov [DOE]

    STEP Participant Survey Report, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  1. Y YEAR

    National Nuclear Security Administration (NNSA)

    7 35 -5.41% ↓ YEAR 2013 2014 Males 27 25 -7.41% ↓ Females 10 10 0% / YEAR 2013 2014 SES 1 1 0% / EN 05 1 1 0% / EN 04 11 10 -9.09% ↓ NN (Engineering) 8 8 0% / NQ (Prof/Tech/Admin) 14 15 7.14% ↑ NU (Tech/Admin Support) 2 0 -100% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 1 1 0% / African American Female (AA,F) 3 3 0% / Asian American Pacific Islander Male (AAPI,M) 0 0 0% /

  2. Y YEAR

    National Nuclear Security Administration (NNSA)

    5 79 -7.06% ↓ YEAR 2013 2014 Males 59 57 -3.39% ↓ Females 26 22 -15.38% ↓ YEAR 2013 2014 SES 1 0 -100% ↓ EJ/EK 4 3 -25.00% ↓ EN 05 3 2 -33.33% ↓ EN 04 22 22 0% / EN 03 8 8 0% / NN (Engineering) 16 15 -6.25% ↓ NQ (Prof/Tech/Admin) 28 26 -7.14% ↓ NU (Tech/Admin Support) 3 3 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 2 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 5 4 -20.00% ↓ African American Female (AA,F) 3 2

  3. Y YEAR

    National Nuclear Security Administration (NNSA)

    91 81 -10.99% ↓ YEAR 2013 2014 Males 67 56 -16.42% ↓ Females 24 25 4.17% ↑ YEAR 2013 2014 SES 1 2 100% ↑ EJ/EK 9 8 -11.11% ↓ EN 04 25 22 -12.00% ↓ NN (Engineering) 24 20 -16.67% ↓ NQ (Prof/Tech/Admin) 29 26 -10.34% ↓ NU (Tech/Admin Support) 3 3 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 2 0% / American Indian Alaskan Native Female (AIAN,F) 3 3 0% / African American Male (AA,M) 0 0 0% / African American Female (AA,F) 0 0 0% / Asian American Pacific Islander

  4. Y YEAR

    National Nuclear Security Administration (NNSA)

    21 -4.55% ↓ YEAR 2013 2014 Males 10 8 -20.00% ↓ Females 12 13 8.33% ↑ YEAR 2013 2014 SES 10 7 -30.00% ↓ EX 0 2 100% ↑ EJ/EK 1 1 0% / EN 05 0 1 100% ↑ EN 04 0 1 100% ↑ NQ (Prof/Tech/Admin) 9 8 -11.11% ↓ NU (Tech/Admin Support) 1 1 0% / ED 00 1 0 -100% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 2 1 -50.00% ↓ African American Male (AA,M) 1 1 0% / African American Female (AA,F) 5 4 -20.00% ↓ Asian

  5. Y YEAR

    National Nuclear Security Administration (NNSA)

    41 155 9.93% ↑ YEAR 2013 2014 Males 92 106 15.22% ↑ Females 49 49 0% / YEAR 2013 2014 SES 8 8 0% / EX 1 1 0% / EJ/EK 4 4 0% / EN 05 11 10 -9.09% ↓ EN 04 11 14 27.27% ↑ EN 03 2 5 150% ↑ NN (Engineering) 60 63 5.00% ↑ NQ (Prof/Tech/Admin) 44 50 13.64% ↑ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 1 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 7 10 42.86% ↑ African American Female (AA,F) 13 11 -15.38% ↓ Asian American

  6. Y YEAR

    National Nuclear Security Administration (NNSA)

    563 560 -0.53% ↓ YEAR 2013 2014 Males 518 514 -0.77% ↓ Females 45 46 2.22% ↑ YEAR 2013 2014 SES 2 2 0% / EJ/EK 2 2 0% / EN 04 1 1 0% / NN (Engineering) 11 11 0% / NQ (Prof/Tech/Admin) 218 221 1.38% ↑ NU (Tech/Admin Support) 1 2 100% ↑ NV (Nuc Mat Courier) 328 321 -2.13% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 15 15 0% / American Indian Alaskan Native Female (AIAN,F) 2 2 0% / African American Male (AA,M) 19 18 -5.26% ↓ African American Female (AA,F) 1 1 0% /

  7. Y YEAR

    National Nuclear Security Administration (NNSA)

    97 180 -8.63% ↓ YEAR 2013 2014 Males 105 89 -15.24% ↓ Females 92 91 -1.09% ↓ YEAR 2013 2014 SES 14 13 -7.14% ↓ EX 1 1 0% / EJ/EK 3 3 0% / EN 05 1 1 0% / EN 04 4 2 -50.00% ↓ EN 03 1 1 0% / EN 00 0 3 100% ↑ NN (Engineering) 35 27 -22.86% ↓ NQ (Prof/Tech/Admin) 135 126 -6.67% ↓ NU (Tech/Admin Support) 2 2 0% / GS 15 0 1 100% ↑ GS 13 1 0 -100% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 1 -50.00% ↓ American Indian Alaskan Native Female (AIAN,F) 0 0 0% /

  8. Y YEAR

    National Nuclear Security Administration (NNSA)

    *Total number of Employees 122 112 -8.20% ↓ YEAR 2013 2014 Males 90 84 -6.67% ↓ Females 32 28 -12.50% ↓ YEAR 2013 2014 SES 26 24 -7.69% ↓ EJ/EK 3 3 0% / EN 05 8 9 12.50% ↑ NN (Engineering) 48 47 -2.08% ↓ NQ (Prof/Tech/Admin) 30 26 -13.33% ↓ NU (Tech/Admin Support) 7 3 -57.14% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 3 3 0% / African American Female (AA,F) 7 6 -14.29%

  9. Y YEAR

    National Nuclear Security Administration (NNSA)

    4 79 -5.95% ↓ YEAR 2013 2014 Males 59 55 -6.78% ↓ Females 25 24 -4.00% ↓ YEAR 2013 2014 SES 3 3 0% / EJ/EK 4 4 0% / EN 04 2 1 -50.00% ↓ NN (Engineering) 20 20 0% / NQ (Prof/Tech/Admin) 55 51 -7.27% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 0 0 0% / African American Male (AA,M) 10 10 0% / African American Female (AA,F) 9 8 -11.11% ↓ Asian American Pacific Islander Male (AAPI,M) 2 2 0% / Asian American Pacific

  10. Y YEAR

    National Nuclear Security Administration (NNSA)

    8 87 -1.14% ↓ YEAR 2013 2014 Males 46 46 0% / Females 42 41 -2.38% ↓ YEAR 2013 2014 SES 1 0 -100% ↓ EJ/EK 4 2 -50.00% ↓ NN (Engineering) 12 12 0% / NQ (Prof/Tech/Admin) 68 70 2.94% ↑ NU (Tech/Admin Support) 3 3 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 2 2 0% / African American Male (AA,M) 5 5 0% / African American Female (AA,F) 5 6 20.00% ↑ Asian American Pacific Islander Male (AAPI,M) 0 0 0% / Asian

  11. Y YEAR

    National Nuclear Security Administration (NNSA)

    1 14 27.27% ↑ YEAR 2013 2014 Males 9 12 33.33% ↑ Females 2 2 0% / YEAR 2013 2014 SES 2 2 0% / EJ/EK 1 1 0% / EN 04 0 1 100% ↑ EN 00 0 1 100% ↑ NN (Engineering) 5 5 0% / NQ (Prof/Tech/Admin) 3 4 33.33% ↑ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 0 0 0% / African American Male (AA,M) 0 0 0% / African American Female (AA,F) 0 0 0% / Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian American Pacific

  12. Y YEAR

    National Nuclear Security Administration (NNSA)

    79 164 -8.38% ↓ YEAR 2013 2014 Males 100 92 -8.00% ↓ Females 79 72 -8.86% ↓ YEAR 2013 2014 SES 8 8 0% / EJ/EK 4 3 -25.00% ↓ EN 04 11 11 0% / EN 03 1 1 0% / EN 00 0 2 100% ↑ NN (Engineering) 39 32 -17.95% ↓ NQ (Prof/Tech/Admin) 111 104 -6.31% ↓ NU (Tech/Admin Support) 5 3 -40.00% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 2 100% ↑ American Indian Alaskan Native Female (AIAN,F) 2 1 -50.00% ↓ African American Male (AA,M) 4 3 -25.00% ↓ African American

  13. Y YEAR

    National Nuclear Security Administration (NNSA)

    40 36 -10.00% ↓ YEAR 2013 2014 Males 18 18 0% / Females 22 18 -18.18% ↓ YEAR 2013 2014 SES 3 2 -33.33% ↓ EJ/EK 1 1 0% / EN 03 1 1 0% / NN (Engineering) 3 3 0% / NQ (Prof/Tech/Admin) 30 27 -10.00% ↓ NU (Tech/Admin Support) 2 2 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 0 0 0% / African American Male (AA,M) 1 1 0% / African American Female (AA,F) 1 1 0% / Asian American Pacific Islander Male (AAPI,M) 0 0 0% /

  14. Y YEAR

    National Nuclear Security Administration (NNSA)

    4 30 -11.76% ↓ YEAR 2013 2014 Males 16 14 -12.50% ↓ Females 18 16 -11.11% ↓ YEAR 2013 2014 SES 1 1 0% / EJ/EK 3 1 -66.67% ↓ NQ (Prof/Tech/Admin) 29 27 -6.90% ↓ NU (Tech/Admin Support) 1 1 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 1 0% / American Indian Alaskan Native Female (AIAN,F) 2 2 0% / African American Male (AA,M) 3 3 0% / African American Female (AA,F) 7 6 -14.29% ↓ Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian American Pacific Islander

  15. Y YEAR

    National Nuclear Security Administration (NNSA)

    9 209 -8.73% ↓ YEAR 2013 2014 Males 76 76 0% / Females 153 133 -13.07% ↓ YEAR 2013 2014 SES 9 6 -33.33% ↓ EJ/EK 1 1 0% / NQ (Prof/Tech/Admin) 208 194 -6.73% ↓ NU (Tech/Admin Support) 11 8 -27.27% ↓ YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 2 2 0% / American Indian Alaskan Native Female (AIAN,F) 3 2 -33.33% ↓ African American Male (AA,M) 10 10 0% / African American Female (AA,F) 39 36 -7.69% ↓ Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian American

  16. Y YEAR

    National Nuclear Security Administration (NNSA)

    7 80 -8.05% ↓ YEAR 2013 2014 Males 62 57 -8.06% ↓ Females 25 23 -8.00% ↓ YEAR 2013 2014 SES 1 1 0% / EJ/EK 3 3 0% / EN 05 1 1 0% / EN 04 27 24 -11.11% ↓ EN 03 1 0 -100% ↓ NN (Engineering) 26 25 -3.85% ↓ NQ (Prof/Tech/Admin) 26 24 -7.69% ↓ NU (Tech/Admin Support) 2 2 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 1 1 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 3 2 -33.33% ↓ African American Female (AA,F) 3 3 0% / Asian

  17. Y YEAR

    National Nuclear Security Administration (NNSA)

    8 27 -3.57% ↓ YEAR 2013 2014 Males 18 17 -5.56% ↓ Females 10 10 0% / YEAR 2013 2014 SES 1 1 0% / EN 05 1 1 0% / EN 04 4 3 -25.00% ↓ NN (Engineering) 12 12 0% / NQ (Prof/Tech/Admin) 9 9 0% / NU (Tech/Admin Support) 1 1 0% / YEAR 2013 2014 American Indian Alaska Native Male (AIAN,M) 0 0 0% / American Indian Alaskan Native Female (AIAN,F) 1 1 0% / African American Male (AA,M) 4 4 0% / African American Female (AA,F) 3 4 33.33% ↑ Asian American Pacific Islander Male (AAPI,M) 1 1 0% / Asian

  18. Year Modules

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

    Annual photovoltaic module shipments, 2003-2013 (peak kilowatts) Year Modules 2003 80,062 2004 143,274 2005 204,996 2006 320,208 2007 494,148 2008 920,693 2009 1,188,879 2010 2,644,498 2011 3,772,075 2012 4,655,005 2013 4,984,881 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Note: Includes both U.S. Shipments and Exports.

  19. Year Modules

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

    dollars per peak watt) Year Modules 2003 $3.17 2004 $2.99 2005 $3.19 2006 $3.50 2007 $3.37 2008 $3.49 2009 $2.79 2010 $1.96 2011 $1.59 2012 $1.15 2013 $0.75 Table 4. Average value of photovoltaic modules, 2003-2013 Source: U.S. Energy Information Administration, Form EIA-63B, 'Annual Photovoltaic Cell/Module Shipments Report.' Note: Dollars are not adjusted for inflation.

  20. NEPA Litigation Surveys

    Broader source: Energy.gov [DOE]

    CEQ publishes surveys on NEPA litigation on an annual basis. These surveys identify the number of cases involving a NEPA based cause of action, Federal agencies that were identified as a lead...

  1. AASG State Geological Survey

    Broader source: Energy.gov [DOE]

    presentation at the April 2013 peer review meeting held in Denver, Colorado.Contributions to the NGDSAASG State Geological Survey

  2. ORISE: Characterization surveys

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

    Characterization surveys An ORISE technicians performs a characterization survey The Oak Ridge Institute for Science and Education (ORISE) performs independent, objective characterization surveys to define the extent of radiological contamination at sites scheduled for decontamination and decommissioning (D&D). A fundamental aspect of all D&D projects, characterization surveys provide guidance to determine the best remediation procedures and are a cost-effective method of ensuring a site

  3. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of

    Gasoline and Diesel Fuel Update (EIA)

    Elements) Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Decade Year-0 Year-1 Year-2 Year-3 Year-4 Year-5 Year-6 Year-7 Year-8 Year-9 2000's 615 717 624 481 563 655 728 848 NA 787 2010's 774

  4. 2010 - Federal Viewpoint Survey Reports | Department of Energy

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

    0 - Federal Viewpoint Survey Reports 2010 - Federal Viewpoint Survey Reports The 2010 Trend report provides summary results for the Department or Energy's portion of the Federal Employee Viewpoint Survey. The report also shows how the 2010 results compare to the results of previous years. PDF icon Department of Energy: 2010 Federal Employee Viewpoint Survey Trend Report Responsible Contacts Thomasina Mathews PROGRAM MANAGER E-mail thomasina.mathews@hq.doe.gov Phone 202-586-2657 More Documents

  5. Environmental Survey preliminary report

    SciTech Connect (OSTI)

    Not Available

    1988-04-01

    This report presents the preliminary findings from the first phase of the Environmental Survey of the United States Department of Energy (DOE) Sandia National Laboratories conducted August 17 through September 4, 1987. The objective of the Survey is to identify environmental problems and areas of environmental risk associated with Sandia National Laboratories-Albuquerque (SNLA). The Survey covers all environmental media and all areas of environmental regulation. It is being performed in accordance with the DOE Environmental Survey Manual. This phase of the Survey involves the review of existing site environmental data, observations of the operations carried on at SNLA, and interviews with site personnel. 85 refs., 49 figs., 48 tabs.

  6. Activity Stream - STIL2 Swedish Office Buildings Survey - Datasets...

    Open Energy Info (EERE)

    over 1 year ago Jay Huggins created the dataset STIL2 Swedish Office Buildings Survey over 1 year ago License License Not Specified Author Swedish Energy Agency Contact OpenEI User...

  7. Manufacturing Consumption of Energy 1994

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

    (MECS) > MECS 1994 Combined Consumption and Fuel Switching Manufacturing Energy Consumption Survey 1994 (Combined Consumption and Fuel Switching) Manufacturing Energy Consumption...

  8. Rural electric cooperatives IRP survey

    SciTech Connect (OSTI)

    Garrick, C.

    1995-11-01

    This report summarizes the integrated resource planning (IRP) practices of US rural electric cooperatives and the IRP policies which influence these practices. It was prepared by the National Renewable Energy Laboratory (NREL) and its subcontractor Garrick and Associates to assist the US Department of Energy (DOE) in satisfying the reporting requirements of Title 1, Subtitle B, Section 111(e)(3) of the Energy Policy Act of 1992 (EPAct), which states: (e) Report--Not later than 2 years after the date of the enactment of this Act, the Secretary (of the US Department of Energy) shall transmit a report to the President and to the Congress containing--(the findings from several surveys and evaluations, including:); (3) a survey of practices and policies under which electric cooperatives prepare IRPs, submit such plans to REA, and the extent to which such integrated resource planning is reflected in rates charged to customers.

  9. behavioral-survey

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

    Evacuation Behavior Survey for No-Notice Emergency Scenarios" Presentation at the 93rd TRB Annual Meeting at the Traveler Behavior and Values Committee (ADB10) - Behavioral Process subcommittee; January 13, 2014 Joshua Auld, Vadim Sokolov, Rene Bautista, Angela Fontes Transportation Research and Analysis Computing Center Argonne National Laboratory Biography The presentation details a survey on evacuation response behavior that was conducted as a part of the RTSTEP project. The survey was

  10. tracc-evacuation-survey

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

    Survey Announcement SURVEY: The Transportation Research and Analysis computing center is conducting a survey to help with improvement of emergency evacuation planning in Chicago TRACC researchers under a contract with the City of Chicago are developing a model which predicts a response of a transportation network to an evacuation event. Emergency responders from OEMC and other local emergency management personal are to use the model results for "intuition training" purposes and

  11. Community Leaders Survey

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

    Community Leaders Survey Community Leaders Survey This survey is a tracking study commissioned by the Lab that helps measure perceived progress in maintaining community relationships and listening and responding to the needs of Northern New Mexico communities. Results help shape and direct the Lab's contributions to the region's future. Latest results show nine-in-ten of the community leaders express satisfaction with LANL's economic impact on the region. Study measures changes in leaders'

  12. 2004 User Survey Results

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

    13 | Next 2004 User Survey Results Table of Contents Response Summary Respondent Demographics Overall Satisfaction and Importance All Satisfaction, Importance and Usefulness...

  13. 2006 User Survey Results

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

    to provide overall comments about NERSC: Here are the survey results: Respondent Demographics Overall Satisfaction and Importance All Satisfaction, Importance and Usefulness...

  14. 2005 User Survey Results

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

    10 | Next 2005 User Survey Results Table of Contents Response Summary Respondent Demographics All Satisfaction, Importance and Usefulness Ratings Hardware Resources Software...

  15. 2003 User Survey Results

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

    10 | Next 2003 User Survey Results Table of Contents Response Summary Respondent Demographics Overall Satisfaction and Importance All Satisfaction Topics and Changes from...

  16. Homeowner and Contractor Surveys

    Broader source: Energy.gov [DOE]

    Better Buildings Neighborhood Program Data and Evaluation Peer Exchange Call: Homeowner and Contractor Surveys, Call Slides and Discussion Summary, January 19, 2012.

  17. ORISE: Characterization surveys

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

    objective characterization surveys to define the extent of radiological contamination at sites scheduled for decontamination and decommissioning (D&D). A fundamental...

  18. The variable sky of deep synoptic surveys

    SciTech Connect (OSTI)

    Ridgway, Stephen T.; Matheson, Thomas; Mighell, Kenneth J.; Olsen, Knut A. [National Optical Astronomy Observatory, Tucson, AZ 85725 (United States); Howell, Steve B., E-mail: ridgway@noao.edu [NASA Ames Research Center, P.O. Box 1, M/S 244-30, Moffett Field, CA 94035 (United States)

    2014-11-20

    The discovery of variable and transient sources is an essential product of synoptic surveys. The alert stream will require filtering for personalized criteriaa process managed by a functionality commonly described as a Broker. In order to understand quantitatively the magnitude of the alert generation and Broker tasks, we have undertaken an analysis of the most numerous types of variable targets in the skyGalactic stars, quasi-stellar objects (QSOs), active galactic nuclei (AGNs), and asteroids. It is found that the Large Synoptic Survey Telescope (LSST) will be capable of discovering ?10{sup 5} high latitude (|b| > 20) variable stars per night at the beginning of the survey. (The corresponding number for |b| < 20 is orders of magnitude larger, but subject to caveats concerning extinction and crowding.) However, the number of new discoveries may well drop below 100 per night within less than one year. The same analysis applied to GAIA clarifies the complementarity of the GAIA and LSST surveys. Discovery of AGNs and QSOs are each predicted to begin at ?3000 per night and decrease by 50 times over four years. Supernovae are expected at ?1100 per night, and after several survey years will dominate the new variable discovery rate. LSST asteroid discoveries will start at >10{sup 5} per night, and if orbital determination has a 50% success rate per epoch, they will drop below 1000 per night within two years.

  19. 2011 NERSC User Survey (Read Only)

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

    2010/2011 User Survey Results Survey Text 2009/2010 User Survey Results 2008/2009 User Survey Results 2007/2008 User Survey Results 2006 User Survey Results 2005 User Survey Results 2004 User Survey Results 2003 User Survey Results 2002 User Survey Results 2001 User Survey Results 2000 User Survey Results 1999 User Survey Results 1998 User Survey Results HPC Requirements for Science HPC Workshop Reports NERSC Staff Publications & Presentations Journal Cover Stories Galleries facebook icon

  20. NEPA effectiveness -- a survey of academics

    SciTech Connect (OSTI)

    Canter, L.; Clark, R.

    1997-09-01

    The National Environmental Policy Act (NEPA) went into effect in the United States on January 1, 1970, just over 25 years ago. In light of this milestone, a survey of academics on the effectiveness of NEPA has been conducted regarding the preparation of environmental assessments (EAs) or environmental impact statements (EISs). This paper summarizes the results of a survey of 31 academics in 12 disciplines from 21 states. Several strengths of NEPA were identified, most importantly that NEPA encourages agencies and decision makers: (1) to acknowledge potential environmental consequences to the public, thus opening up the decision process; and (2) to think about environmental consequences before resources are committed. Surveyed participants also prioritized needs for improvement. While this survey was focused on the NEPA process in the United States, the identified issues have implications for the worldwide practice of environmental impact assessment. Finally, recommendations are described that are primarily associated with guidance, possible modifications in the NEPA process and follow-on training.

  1. A Southern Sky Survey with Fermi LAT and ASKAP

    SciTech Connect (OSTI)

    Cameron, Robert A.; /SLAC /KIPAC, Menlo Park

    2010-04-29

    We present the prospects for a future joint gamma-ray and radio survey of southern hemisphere sources using the Fermi Large Area Telescope (LAT) and the upcoming Australian Square Kilometre Array Pathfinder (ASKAP) radio telescope. ASKAP is a next generation radio telescope designed to perform surveys at GHz frequencies at a much higher survey speed than previous radio telescopes, and is scheduled to start engineering observations in 2011. The survey capabilities of both Fermi LAT and ASKAP are described, and the planned science surveys for ASKAP are summarized. We give some expected details of the Variable and Slow Transient (VAST) survey using ASKAP, which will search for transients on timescales from 5 seconds to years. Some observational properties of faint and transient sources seen at gamma-ray and radio wavelengths are summarized, and prospects and strategies for using ASKAP survey data for LAT source counterpart identification are summarized.

  2. FORM EIA-23L ANNUAL SURVEY OF DOMESTIC OIL AND GAS RESERVES

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

    Date: 7312016 Version No.: 2016.01 FORM EIA-23L ANNUAL SURVEY OF DOMESTIC OIL AND GAS RESERVES SURVEY YEAR 2015 COVER PAGE This report is mandatory under the Federal ...

  3. U.S. Maximum Number of Active Crews Engaged in Seismic Surveying...

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

    Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) U.S. Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb...

  4. Dark Energy Survey

    ScienceCinema (OSTI)

    Roodman, Aaron; Nord, Brian; Elliot, Ann

    2014-08-12

    Members of the Dark Energy Survey collaboration explain what they hope to learn by studying the southern sky with the world's most advanced digital camera, mounted on a telescope in Chile.

  5. 2000 User Survey Results

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

    "NERSC has been the most stable supercomputer center in the country particularly with the migration from the T3E to the IBM SP". "Makes supercomputing easy." Below are the survey...

  6. Dark Energy Survey

    SciTech Connect (OSTI)

    Roodman, Aaron; Nord, Brian; Elliot, Ann

    2012-12-06

    Members of the Dark Energy Survey collaboration explain what they hope to learn by studying the southern sky with the world's most advanced digital camera, mounted on a telescope in Chile.

  7. Benchmarking survey for recycling.

    SciTech Connect (OSTI)

    Marley, Margie Charlotte; Mizner, Jack Harry

    2005-06-01

    This report describes the methodology, analysis and conclusions of a comparison survey of recycling programs at ten Department of Energy sites including Sandia National Laboratories/New Mexico (SNL/NM). The goal of the survey was to compare SNL/NM's recycling performance with that of other federal facilities, and to identify activities and programs that could be implemented at SNL/NM to improve recycling performance.

  8. 2014 ALCF User Survey Results

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

    survey, improved questions, and a representative user response to the survey. Demographics ALCF users are located around the world and are representative across different...

  9. NEPA Litigation Surveys | Department of Energy

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

    NEPA Litigation Surveys NEPA Litigation Surveys CEQ publishes surveys on NEPA litigation on an annual basis. These surveys identify the number of cases involving a NEPA based cause...

  10. 2001 FEMP Customer Survey Appendices

    SciTech Connect (OSTI)

    None

    2009-01-18

    Appendix A: Survey Instrument; Appendix B: Detailed Responses; Appendix C: Adoption and Diffusion of Innovations

  11. STEP Participant Survey Executive Summary

    Broader source: Energy.gov [DOE]

    STEP Participant Survey Executive Summary, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  12. HPSS Yearly Network Traffic

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

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of IO Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for...

  13. Solar Site Survey Toolkit

    Broader source: Energy.gov [DOE]

    After a couple outings, a principal technologist at Sandia National Laboratories saw a need for a travel kit that would have the necessary tools to make the task of site surveys more manageable and safer. They have had great success using the kit in the field already.

  14. HPSS Yearly Network Traffic

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

    HPSS Yearly Network Traffic HPSS Yearly Network Traffic Yearly Summary of I/O Traffic Between Storage and Network Destinations These bar charts show the total transfer traffic for each year between storage and network destinations (systems within and outside of NERSC). Traffic for the current year is an estimate derived by scaling the known months traffic up to 12 months. The years shown are calendar years. The first graph shows the overall growth in network traffic to storage over the years.

  15. ARM User Survey Report

    SciTech Connect (OSTI)

    Roeder, LR

    2010-06-22

    The objective of this survey was to obtain user feedback to, among other things, determine how to organize the exponentially growing data within the Atmospheric Radiation Measurement (ARM) Climate Research Facility, and identify users’ preferred data analysis system. The survey findings appear to have met this objective, having received approximately 300 responses that give insight into the type of work users perform, usage of the data, percentage of data analysis users might perform on an ARM-hosted computing resource, downloading volume level where users begin having reservations, opinion about usage if given more powerful computing resources (including ability to manipulate data), types of tools that would be most beneficial to them, preferred programming language and data analysis system, level of importance for certain types of capabilities, and finally, level of interest in participating in a code-sharing community.

  16. Sloan digital sky survey

    SciTech Connect (OSTI)

    Kent, S.M.; Stoughton, C.; Newberg, H.; Loveday, J.; Petravick, D.; Gurbani, V.; Berman, E.; Sergey, G.; Lupton, R.

    1994-04-01

    The Sloan Digital Sky Survey will produce a detailed digital photometric map of half the northern sky to about 23 magnitude using a special purpose wide field 2.5 meter telescope. From this map we will select {approximately} 10{sup 6} galaxies and 10{sup 5} quasars, and obtain high resolution spectra using the same telescope. The imaging catalog will contain 10{sup 8} galaxies, a similar number of stars, and 10{sup 6} quasar candidates.

  17. 2009 Annual Employee Survey Results for

    Energy Savers [EERE]

    9 Annual Employee Survey Results for Department of Energy All Respondents 1) Interpretation of Results: The agency's overall results were favorable and showed the agency improving in most areas. The agency remained strong in areas pertaining to Job Satisfaction and Talent Management. The agency's biggest challenge is in Performance Culture. This is an area that the agency has been working on for several years and will continue to do so in 2010. Scores related to Leadership/Supervisory dimension

  18. Chinese Geological Survey | Open Energy Information

    Open Energy Info (EERE)

    Chinese Geological Survey Jump to: navigation, search Name: Chinese Geological Survey Place: China Sector: Geothermal energy Product: Chinese body which is involved in surveys of...

  19. Commercial Grade Dedication Survey and Training | Department...

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

    Survey and Training Commercial Grade Dedication Survey and Training The following is a sample plan to perform a CGD survey. The checklist items are included. In addition to,...

  20. Design Code Survey Form | Department of Energy

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

    Design Code Survey Form Design Code Survey Form Survey of Safety Software Used in Design of Structures, Systems, and Components 1. Introduction The Department's Implementation Plan ...

  1. 2001 User Survey Results

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

    Questions and Changes from Previous Years NERSC Information Management (NIM) System Web and Communications Hardware Resources Software Training User Services Comments about...

  2. 50 Years of Space

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

    50 Years of Space science-innovationassetsimagesicon-science.jpg 50 Years of Space Since 1943, some of the world's smartest and most dedicated technical people have ...

  3. 70 Years of Innovations

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

    70 Years of Innovations aboutassetsimagesicon-70th2.jpg Innovations: Celebrating 70 Years Since 1943, some of the world's smartest and most dedicated technical people have ...

  4. ORNL-5680 Radiological Surveys

    Office of Legacy Management (LM)

    DOVEV-0005/l (Supplement) ORNL-5680 Radiological Surveys of Properties in the Middlesex, New Jersey, Area R. W. Leggett D. L. Anderson F. F. Haywood D. J. Christian W. D. Cottrell R. W. Doane D. J. Crawford W. H. Shinpaugh E. B. Wagner T. E. Myrick W. A. Goldsmith Printed in the United States of America. Available from National Technical Information Service U.S. Department of Commerce 5285 Port Royal Road, Springfield, Virginia 22161 NTIS price codes-Printed Copy: A07 Microfiche ,401 I I This

  5. Health and Productivity Questionnaire (HPQ) Survey Report | Department of

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

    Energy Health and Productivity Questionnaire (HPQ) Survey Report Health and Productivity Questionnaire (HPQ) Survey Report Final Report - 2012 The U.S. Department of Energy (DOE) has been concerned about employees' health and well-being for several years, especially as they relate to workplace productivity and safety. Additionally, the DOE's reliance on an aging workforce makes it even more critical for the Department to ensure that its programs and policies support employees, regardless of

  6. Cosmological Simulations for Large-Scale Sky Surveys | Argonne Leadership

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

    Computing Facility Cosmological Simulations for Large-Scale Sky Surveys PI Name: Salman Habib PI Email: habib@anl.gov Institution: Argonne National Laboratory Allocation Program: INCITE Allocation Hours at ALCF: 80 Million Year: 2016 Research Domain: Physics The focus of cosmology today is on its two mysterious pillars, dark matter and dark energy. Large-scale sky surveys are the current drivers of precision cosmology and have been instrumental in making fundamental discoveries in these

  7. Sample design for the residential energy consumption survey

    SciTech Connect (OSTI)

    Not Available

    1994-08-01

    The purpose of this report is to provide detailed information about the multistage area-probability sample design used for the Residential Energy Consumption Survey (RECS). It is intended as a technical report, for use by statisticians, to better understand the theory and procedures followed in the creation of the RECS sample frame. For a more cursory overview of the RECS sample design, refer to the appendix entitled ``How the Survey was Conducted,`` which is included in the statistical reports produced for each RECS survey year.

  8. 70 years after Trinity

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

    70 years after Trinity 70 years after Trinity Though the world has seen many changes since Trinity, one thing has remained constant: Los Alamos remains essential to our nation's ...

  9. 2015 Uranium Marketing Annual Survey

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

    U.S. Energy Information Administration, Form EIA-858 ""Uranium Marketing Annual Survey"" (2015)." " U.S. Energy Information Administration 2015 Uranium Marketing Annual Report 15

  10. Reflection Survey | Open Energy Information

    Open Energy Info (EERE)

    (Gritto, Et Al.) Rye Patch Area Integrated Seismic Studies At The Rye Patch Geothermal Reservoir, Nevada Reflection Survey At Rye Patch Area (Laney, 2005) Rye Patch Area Federal...

  11. Federal Buildings Supplemental Survey -- Overview

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

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

  12. IRT Surveys | Open Energy Information

    Open Energy Info (EERE)

    consulting in building thermographers and thermal imaging allowing to detect energy loss and increase of energy efficiency. References: IRT Surveys1 This article is a stub....

  13. Secretary Moniz's First Year

    Broader source: Energy.gov [DOE]

    We're looking back at some of the biggest moments from Energy Secretary Ernest Moniz's first year in office.

  14. 2013 Year in Review

    Energy Savers [EERE]

    3 Year in Review i 2013 YIR May 2014 Year-in-Review: 2013 Energy Infrastructure Events and Expansions Infrastructure Security and Energy Restoration Office of Electricity Delivery and Energy Reliability U.S. Department of Energy DOE / 2013 Year in Review ii 2013 YIR For Further Information This report was prepared by the Office of Electricity Delivery and Energy Reliability under the direction of Patricia Hoffman, Assistant Secretary, and William Bryan, Deputy Assistant Secretary. Specific

  15. 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources

    SciTech Connect (OSTI)

    Sturgeon, Richard W.

    2012-06-27

    This report provides the results of the 2011 Radioactive Materials Usage Survey for Unmonitored Point Sources (RMUS), which was updated by the Environmental Protection (ENV) Division's Environmental Stewardship (ES) at Los Alamos National Laboratory (LANL). ES classifies LANL emission sources into one of four Tiers, based on the potential effective dose equivalent (PEDE) calculated for each point source. Detailed descriptions of these tiers are provided in Section 3. The usage survey is conducted annually; in odd-numbered years the survey addresses all monitored and unmonitored point sources and in even-numbered years it addresses all Tier III and various selected other sources. This graded approach was designed to ensure that the appropriate emphasis is placed on point sources that have higher potential emissions to the environment. For calendar year (CY) 2011, ES has divided the usage survey into two distinct reports, one covering the monitored point sources (to be completed later this year) and this report covering all unmonitored point sources. This usage survey includes the following release points: (1) all unmonitored sources identified in the 2010 usage survey, (2) any new release points identified through the new project review (NPR) process, and (3) other release points as designated by the Rad-NESHAP Team Leader. Data for all unmonitored point sources at LANL is stored in the survey files at ES. LANL uses this survey data to help demonstrate compliance with Clean Air Act radioactive air emissions regulations (40 CFR 61, Subpart H). The remainder of this introduction provides a brief description of the information contained in each section. Section 2 of this report describes the methods that were employed for gathering usage survey data and for calculating usage, emissions, and dose for these point sources. It also references the appropriate ES procedures for further information. Section 3 describes the RMUS and explains how the survey results are organized. The RMUS Interview Form with the attached RMUS Process Form(s) provides the radioactive materials survey data by technical area (TA) and building number. The survey data for each release point includes information such as: exhaust stack identification number, room number, radioactive material source type (i.e., potential source or future potential source of air emissions), radionuclide, usage (in curies) and usage basis, physical state (gas, liquid, particulate, solid, or custom), release fraction (from Appendix D to 40 CFR 61, Subpart H), and process descriptions. In addition, the interview form also calculates emissions (in curies), lists mrem/Ci factors, calculates PEDEs, and states the location of the critical receptor for that release point. [The critical receptor is the maximum exposed off-site member of the public, specific to each individual facility.] Each of these data fields is described in this section. The Tier classification of release points, which was first introduced with the 1999 usage survey, is also described in detail in this section. Section 4 includes a brief discussion of the dose estimate methodology, and includes a discussion of several release points of particular interest in the CY 2011 usage survey report. It also includes a table of the calculated PEDEs for each release point at its critical receptor. Section 5 describes ES's approach to Quality Assurance (QA) for the usage survey. Satisfactory completion of the survey requires that team members responsible for Rad-NESHAP (National Emissions Standard for Hazardous Air Pollutants) compliance accurately collect and process several types of information, including radioactive materials usage data, process information, and supporting information. They must also perform and document the QA reviews outlined in Section 5.2.6 (Process Verification and Peer Review) of ES-RN, 'Quality Assurance Project Plan for the Rad-NESHAP Compliance Project' to verify that all information is complete and correct.

  16. Final Year Project Report

    SciTech Connect (OSTI)

    Hubsch, Tristan

    2013-06-20

    In the last years of this eighteen-year grant project, the research efforts have focused mostly on the study of off-shell representations of supersymmetry, both on the worldline and on the world- sheet, i.e., both in supersymmetric quantum mechanics and in supersymmetric field theory in 1+1-dimensional spacetime.

  17. Comparison of the National Survey of Compensation with other surveys of research and development professionals. Final report on universe update

    SciTech Connect (OSTI)

    Newborg, J.; Spurgeon, M.; Price, B.; Evans, P.

    1981-10-01

    The National Survey of Compensation Paid Scientists and Engineers Engaged in Research and Development (NSC) has been conducted for the Department of Energy since 1967. During this time the NSC has come to be considered the most comprehensive survey of its kind available in the United States. Its methodology and results are reliable and highly useful to compensation personnel in research and development (R and D) establishments. Each year project staff pinpoint areas of improvement which are necessary and desirable. The three tasks that are the subject of this report have been undertaken to maintain and improve the NSC and increase its usefulness to participants. The three tasks are: an update of the universe listing; comparison of NSC survey methodology and results with other surveys of research and development professionals; and development of a methodology to project salaries for the near-term. Each task is described.

  18. Survey of SRF guns

    SciTech Connect (OSTI)

    Belomestnykh, S.

    2011-07-25

    Developing Superconducting RF (SRF) electron guns is an active field with several laboratories working on different gun designs. While the first guns were based on elliptic cavity geometries, Quarter Wave Resonator (QWR) option is gaining popularity. QWRs are especially well suited for producing beams with high charge per bunch. In this talk we will describe recent progress in developing both types of SRF guns. SRF guns made excellent progress in the last two years. Several guns generated beams and one, at HZDR, injected beam into an accelerator. By accomplishing this, HZDR/ELBE gun demonstrated feasibility of the SRF gun concept with a normal-conducting Cs{sub 2}Te cathode. The cathode demonstrated very good performance with the lifetime of {approx}1 year. However, for high average current/high bunch charge operation CsK{sub 2}Sb is preferred as it needs green lasers, unlike UV laser for the Cs{sub 2}Te, which makes it easier to build laser/optics systems. Other high QE photocathodes are being developed for SRF guns, most notably diamond-amplified photocathode. Several QWR guns are under development with one producing beam already. They are very promising for high bunch charge operation. The field is very active and we should expect more good results soon.

  19. The Sloan Digital Sky Survey-II Supernova Survey: Technical Summary

    SciTech Connect (OSTI)

    Frieman, Joshua A.; Bassett, Bruce; Becker, Andrew; Choi, Changsu; Cinabro, David; DeJongh, Don Frederic; Depoy, Darren L.; Doi, Mamoru; Garnavich, Peter M.; Hogan, Craig J.; Holtzman, Jon; Im, Myungshin; Jha, Saurabh; Konishi, Kohki; Lampeitl, Hubert; Marriner, John; Marshall, Jennifer L.; McGinnis, David; Miknaitis, Gajus; Nichol, Robert C.; Prieto, Jose Luis; /Ohio State U. /Rochester Inst. Tech. /Stanford U., Phys. Dept. /Pennsylvania U. /Penn State U., Astron. Astrophys. /Portsmouth U. /Tokyo U. /Tokyo U. /South African Astron. Observ. /Tokyo U. /Stanford U., Phys. Dept. /Fermilab /Fermilab /Ohio State U. /Stanford U., Phys. Dept. /Fermilab /Bristol U. /Apache Point Observ. /Liverpool John Moores U., ARI /Columbia U., CBA /Apache Point Observ. /Ohio State U. /Durham U. /Portsmouth U. /South African Astron. Observ. /Naval Academy, Annapolis /UC, Berkeley /UC, Berkeley /Ohio State U. /Stockholm U. /New Mexico State U. /Princeton U. Observ. /Tokyo U. /Washington U., Seattle, Astron. Dept. /Stanford U., Phys. Dept. /Jefferson Lab /Apache Point Observ. /Gottingen U. /Chicago U. /San Francisco State U. /DARK Cosmology Ctr. /Fermilab /Apache Point Observ. /Durham U. /Princeton U. Observ. /Apache Point Observ. /Apache Point Observ. /Apache Point Observ. /Barcelona U. /Stockholm U. /Apache Point Observ. /Lick Observ. /Sussex U. /Barcelona U. /Apache Point Observ. /Ohio State U. /Apache Point Observ. /Fermilab /DARK Cosmology Ctr. /Chicago U. /Fermilab /South African Astron. Observ. /Ohio State U. /Apache Point Observ. /Texas U., McDonald Observ. /Fermilab

    2007-09-14

    The Sloan Digital Sky Survey-II (SDSS-II) has embarked on a multi-year project to identify and measure light curves for intermediate-redshift (0.05 < z < 0.35) Type Ia supernovae (SNe Ia) using repeated five-band (ugriz) imaging over an area of 300 sq. deg. The survey region is a stripe 2.5 degrees wide centered on the celestial equator in the Southern Galactic Cap that has been imaged numerous times in earlier years, enabling construction of a deep reference image for discovery of new objects. Supernova imaging observations are being acquired between 1 September and 30 November of 2005-7. During the first two seasons, each region was imaged on average every five nights. Spectroscopic follow-up observations to determine supernova type and redshift are carried out on a large number of telescopes. In its first two three-month seasons, the survey has discovered and measured light curves for 327 spectroscopically confirmed SNe Ia, 30 probable SNe Ia, 14 confirmed SNe Ib/c, 32 confirmed SNe II, plus a large number of photometrically identified SNe Ia, 94 of which have host-galaxy spectra taken so far. This paper provides an overview of the project and briefly describes the observations completed during the first two seasons of operation.

  20. Allocation Year Rollover process

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

    Allocatio Year Rollover process Allocation Year Rollover process December 23, 2013 by Francesca Verdier Allocation Year 2013 (AY13) ends at 23:59:59 on Monday, January 13, 2014. AY14 runs from Tuesday, January 14, 2014 through Monday, January 12, 2015. The major features of the rollover are: charging acroess the AY boundary: All batch jobs will continue running during the rollover. Time accrued before midnight will be charged to AY13 repos; time accrued after midnight will be charged to AY14

  1. Geodetic Survey | Open Energy Information

    Open Energy Info (EERE)

    At Kilauea Summit Area (Keller, Et Al., 1979) Kilauea Summit Area Results Of An Experimental Drill Hole At The Summit Of Kilauea Volcano, Hawaii Geodetic Survey At Long Valley...

  2. 2014 Manufacturing Energy Consumption Survey

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

    U S C E N S U S B U R E A U 2014 Manufacturing Energy Consumption Survey Sponsored by the Energy Information Administration U.S. Department of Energy Administered and Compiled by ...

  3. 2005 Residential Energy Consumption Survey

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

    Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist. This report is mandatory under ...

  4. 2005 Residential Energy Consumption Survey

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

    Completed forms are due by March 4, 2006. If you have any questions, please call (toll-free) 1-NNN-NNN-NNNN. Ask for the Supplier Survey Specialist.. This report is mandatory under ...

  5. Applied Science and Technology Task Order Fiscal Year 2009 Year...

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

    9 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2009 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2009 Year-End ...

  6. Applied Science and Technology Task Order Fiscal Year 2008 Year...

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

    8 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2008 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2008 Year-End ...

  7. Applied Science and Technology Task Order Fiscal Year 2011 Year...

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

    1 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2011 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2011 Year-End ...

  8. Applied Science and Technology Task Order Fiscal Year 2010 Year...

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

    0 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2010 Year-End Summary Report Applied Science and Technology Task Order Fiscal Year 2010 Year-End ...

  9. I COMPREHENSIVE RADIOLOGICAL SURVEY I

    Office of Legacy Management (LM)

    im I COMPREHENSIVE RADIOLOGICAL SURVEY I Prepared by Oak Ridge Associated Universities Prprd* OFF-SITE PROPERTY H' | Prepared for Office of Operational FORMER LAKE ONTARIO ORDNANCE WORKS SITE Safety U.S. Department LEWISTON, NEW YORK I of Energy i J.D. BERGER i Radiological Site Assessment Program Manpower Education, Research, and Training Division I l*~~~~~~ ~~~~DRAFT REPORT January 1983 I I I ------- COMPREHENSIVE RADIOLOGICAL SURVEY OFF-SITE PROPERTY H' FORMER LAKE ONTARIO ORDNANCE WORKS SITE

  10. The Galaxy Evolution Explorer: Results from the First Year (Conference) |

    Office of Scientific and Technical Information (OSTI)

    SciTech Connect Conference: The Galaxy Evolution Explorer: Results from the First Year Citation Details In-Document Search Title: The Galaxy Evolution Explorer: Results from the First Year I will give an overview of the status, early data, and results from the Galaxy Evolution Explorer (GALEX), a NASA Explorer Mission launched in April 2003. GALEX is performing the first space UV sky-survey, including imaging and grism surveys in two bands (1350-1800 {angstrom} and 1800-2800 {angstrom}). I

  11. Ten Year Site Plans

    Broader source: Energy.gov [DOE]

    A Ten Year Site Plan (TYSP) is the essential planning document linking a site's real property requirements to its mission in support of the Department of Energy’s overall strategic plan. It is a...

  12. Welcome Year in Review

    National Nuclear Security Administration (NNSA)

    Training Meeting Orlando, Florida-May 23-25, 2006 Sponsored by the U.S. Department of Energy & the U.S. Nuclear Regulatory Commission Welcome & Year In Review Peter Dessaules...

  13. Geophex Airborne Unmanned Survey System

    SciTech Connect (OSTI)

    Won, I.L.; Keiswetter, D.

    1995-12-31

    Ground-based surveys place personnel at risk due to the proximity of buried unexploded ordnance (UXO) items or by exposure to radioactive materials and hazardous chemicals. The purpose of this effort is to design, construct, and evaluate a portable, remotely-piloted, airborne, geophysical survey system. This non-intrusive system will provide stand-off capability to conduct surveys and detect buried objects, structures, and conditions of interest at hazardous locations. During a survey, the operators remain remote from, but within visual distance of, the site. The sensor system never contacts the Earth, but can be positioned near the ground so that weak geophysical anomalies can be detected. The Geophex Airborne Unmanned Survey System (GAUSS) is designed to detect and locate small-scale anomalies at hazardous sites using magnetic and electromagnetic survey techniques. The system consists of a remotely-piloted, radio-controlled, model helicopter (RCH) with flight computer, light-weight geophysical sensors, an electronic positioning system, a data telemetry system, and a computer base-station. The report describes GAUSS and its test results.

  14. 2008/2009 User Survey Results

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

    Next 20082009 User Survey Results Table of Contents Response Survey Respondent Demographics Overall Satisfaction and Importance All Satisfaction and Importance Ratings...

  15. Idaho Geological Survey | Open Energy Information

    Open Energy Info (EERE)

    The Idaho Geological Survey is located in Boise, Idaho. About Information on past oil and gas exploration wells in Idaho was transferred to the Idaho Geological Survey in...

  16. radiological. survey | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    survey NNSA to Conduct Aerial Radiological Surveys Over San Francisco, Pacifica, Berkeley, And Oakland, CA Areas A U.S. Department of Energy National Nuclear Security...

  17. FAQs for Survey Forms 804 and 814

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

    intended for cracking into olefins. EIA-804 Survey form & instructions Contact: Robert Merriam, (202) 586-4615 EIA-814 Survey form & instructions Contact: Chris Buckner, (202)...

  18. Aftertreatment Research Prioritization: A CLEERS Industrial Survey...

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

    Research Prioritization: A CLEERS Industrial Survey Aftertreatment Research Prioritization: A CLEERS Industrial Survey Presentation given at the 2007 Diesel Engine-Efficiency &...

  19. Category:Telluric Survey | Open Energy Information

    Open Energy Info (EERE)

    Pages in category "Telluric Survey" This category contains only the following page. T Telluric Survey Retrieved from "http:en.openei.orgwindex.php?titleCategory:Telluric...

  20. Sloan Digital Sky Survey II (SDSS-II) Supernova Data

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

    The Sloan Digital Sky Survey (SDSS) is a series of three interlocking imaging and spectroscopic surveys, carried out over an eight-year period with a dedicated 2.5m telescope located at Apache Point Observatory in Southern New Mexico. The SDSS Supernova Survey was one of those three components of SDSS and SDSS-II, a 3-year extension of the original SDSS that operated from July 2005 to July 2008. The Supernova Survey was a time-domain survey, involving repeat imaging of the same region of sky every other night, weather permitting. The primary scientific motivation was to detect and measure light curves for several hundred supernovae through repeat scans of the SDSS Southern equatorial stripe 82 (about 2.5? wide by ~120? long). Over the course of three 3-month campaigns SDSS-II SN discovered and measured multi-band lightcurves for ~500 spectroscopically confirmed Type Ia supernovae in the redshift range z=0.05-0.4. In addition, the project harvested a few hundred light curves for SNe Ia and discovered about 80 spectroscopically confirmed core-collapse supernovae (supernova types Ib/c and II).

  1. Manufacturing Energy and Carbon Footprints (2006 MECS)

    Broader source: Energy.gov [DOE]

    Energy and Carbon Footprints provide a mapping of energy from supply to end use in manufacturing. They show us where energy is used and lost—and where greenhouse gases (GHGs) are emitted. Footprints are available below for 15 manufacturing sectors (representing 94% of all manufacturing energy use) and for U.S. manufacturing as a whole. Analysis of these footprints is also available in the U.S. Manufacturing Energy Use and Greenhouse Gas Emissions Analysis report.

  2. Iron and Steel Energy Intensities

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

    MECS Survey Year 1985 1988 1991 1994 All Energy Sources 46.47 30.61 34.77 33.98 Electricity 3.66 2.44 3.17 3.05 Natural Gas 11.33 7.86 10.25 9.97 Coal 29.13 19.12 20.08 18.40...

  3. COMPENDIUM: SURVEYS EVALUATING KNOWLEDGE AND OPINIONS CONCERNING HYDROGEN AND FUEL CELL TECHNOLOGIES

    SciTech Connect (OSTI)

    Truett, Lorena Faith; Cooper, Christy; Schmoyer, Richard L

    2008-10-01

    This compendium updates a 2003 literature review of surveys of knowledge and opinions of hydrogen and fuel cell technologies. Its purpose is to ensure that results of comparable surveys are considered in surveys conducted by the U.S. Department of Energy (DOE). Over twice as many studies related to the DOE survey have been published since 2003 than prior to that date. The fact that there have been significantly more studies implies that there have been further demonstration projects and/or increased interest in hydrogen and fuel cell technologies. The primary findings of these 15 new surveys, all of which were conducted in Europe (E) or North America (NA), to the DOE surveys are as follows: 1.Respondents who are more educated are more accepting of hydrogen technologies (NA). 2.Respondents who are more knowledgeable about hydrogen and/or fuel cells are more accepting of hydrogen technologies (E, NA). 3.When asked about issues of trust, respondents generally expressed distrust of the government or political parties but trusted scientists and environmental protection organizations (E). 4.Technical knowledge about hydrogen and fuel cell technologies is low (E, NA). 5.Respondents may express opinions about a technology even when they are lacking in knowledge of that technology (E). 6.Women and men have different priorities when deciding on an automobile purchase (E). 7.Public acceptance to hydrogen is vulnerable to perceptions of decreased safety (E, NA). 8.Public acceptance to hydrogen is vulnerable to perceptions of increased cost (E, NA). The DOE surveys are similar to surveys that examine technical knowledge of hydrogen and fuel cell technologies, although the technical questions are certainly different. The DOE surveys are also similar to the opinion surveys in that they address many of the same issues, such as safety, sources of energy information, or trust. There are many differences between the surveys reviewed in this compendium and the DOE surveys. The information for many of the surveys is collected face-to-face or electronically; however, all of the DOE surveys are conducted via telephone interviews. Most of the surveys concentrated on a specific population group, while the DOE surveys addressed five different populations (general public, students, government agencies, end users, and safety and codes officials). No survey (except the DOE survey) conducted since 2003 surveyed students knowledge and opinions of hydrogen and fuel cells. Although several surveys have solicited opinions of users (e.g., passengers of fuel-cell vehicles), no surveys were conducted of end users (industrial users needing large power supplies, commercial users needing uninterrupted power, or transportation businesses). While the International Organization for Standardization (ISO) has surveyed its membership concerning standards, the population of safety and codes officials has not been surveyed. The greatest impact and importance of the DOE surveys is that five distinct population groups are surveyed for both knowledge and opinions on hydrogen and fuel cells. Knowledge levels can be computed for each population group and can be compared across the populations and across time. Opinions can be compared with knowledge levels. A baseline of knowledge levels was derived using the results of the 2004 surveys; this baseline will be compared with the results of the knowledge evaluation for the surveys of 2008/2009 and 2011/2012. The DOE knowledge and opinion surveys are unique in coverage and purpose. It must be noted, however, that response rates for telephone surveys have decreased dramatically over time. Developments in survey methodology research will have to be followed over the next few years so that necessary adjustments are made in the 20112012 DOE hydrogen survey design, to account for cell-phone-only individuals as well as other changes in telephone usage demographics.

  4. REMS Webinar Survey | Department of Energy

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

    REMS Webinar Survey REMS Webinar Survey Survey for the inaugural DOE REMS Webinar that was held on Tuesday, March 8, 2016 at 1:00 pm EST. PDF icon REMS Webinar Survey More Documents & Publications Radiation Exposure Monitoring Systems Data Submittal Notification EERE's Usability and Analysis Techniques Guidebook

  5. Sample Employee Survey for Workplace Charging Planning

    Broader source: Energy.gov [DOE]

    Survey to determine employee interest in the benefits of employer installed charging infrastructure for their PEVs.

  6. 2013 Survey of Non-Starch Ethanol and Renewable Hydrocarbon Biofuels Producers

    SciTech Connect (OSTI)

    Schwab, A.; Geiger, J.; Lewis, J.

    2015-01-01

    In order to understand the status of the industry for non-starch ethanol and renewable hydrocarbon biofuels as of the end of calendar year 2013, the National Renewable Energy Laboratory (NREL) conducted the first of what is anticipated to be an annual survey of U.S. non-starch ethanol and renewable hydrocarbon biofuels producers. This report presents the results of this initial survey and describes the survey methodology. Subsequent surveys will report on the progress over time of the development of these facilities and companies.

  7. Facility Approvals, Security Surveys, and Nuclear Materials Surveys

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1992-09-15

    To establish Department of Energy (DOE) requirements for granting facility approvals prior to permitting safeguards and security interests on the premises and the conduct of insite security and/or nuclear material surveys of facilities with safeguards and security interests. Cancels DOE 5634.1A. Canceled by DOE O 470.1 dated 9-28-95.

  8. Facility Approvals, Security Surveys, and Nuclear Materials Surveys

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1988-02-03

    To establish the Department of Energy (DOE) requirements for granting facility approvals prior to permitting safeguards and security interests on the premises and the conduct of on-site security and/or nuclear material surveys of facilities with safeguards and security interests. Cancels DOE O 5630.7 and DOE O 5634.1. Canceled by DOE 5634.1B.

  9. 2001 FEMP Customer Survey Appendices

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

    Appendices A Report Prepared for the US Department of Energy February 2002 By TecMRKT Works and Sandia National Laboratories TecMRKT Works Nicholas P. Hall John H. Reed Ph.D Thomas P. Talerico Jeff Riggert Andrew Oh And Sandia National Laboratories Gretchen Jordan FEMP Customer Survey Appendices Table of Contents Table of Contents TABLE OF CONTENTS I LIST OF FIGURES II LIST OF TABLES III APPENDIX A: SURVEY INSTRUMENT 1 APPENDIX B: DETAILED REPONSES 42 1. Participant and Nonparticipant Profiles

  10. NERSC-8 Vendor Market Survey

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

    NERSC-8 Project Lead NERSC-8 Market Survey --- 1 --- November 15, 2012 * Seek v endor i nput t o o p6mize 6 ming, r equirements and business prac6ces * Opportunity f or v endors t o p rovide i nput p rior t o formal p rocurement p rocess We are starting our next procurement, NERSC-8, with a round of market surveys Vendor B riefing --- 2 --- NERSC's mission is to enable science NERSC Mission: To accelerate the pace of scientific discovery by providing high-performance computing, data systems and

  11. Federal Employee Viewpoint Survey | Department of Energy

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

    Policy and Guidance » Human Capital Management » Federal Employee Viewpoint Survey Federal Employee Viewpoint Survey The Federal Employee Viewpoint Survey (FedView survey) is a tool that measures employees' perceptions of whether, and to what extent, conditions characterizing successful organizations are present in their agencies. Survey results provide valuable insight into the challenges agency leaders face in ensuring the Federal Government has an effective civilian workforce and how well

  12. 2003 survey of Canadian radiation oncology residents

    SciTech Connect (OSTI)

    Yee, Don . E-mail: donyee@cancerboard.ab.ca; Fairchild, Alysa; Keyes, Mira; Butler, Jim; Dundas, George

    2005-06-01

    Purpose: Radiation oncology's popularity as a career in Canada has surged in the past 5 years. Consequently, resident numbers in Canadian radiation oncology residencies are at all-time highs. This study aimed to survey Canadian radiation oncology residents about their opinions of their specialty and training experiences. Methods and Materials: Residents of Canadian radiation oncology residencies that enroll trainees through the Canadian Resident Matching Service were identified from a national database. Residents were mailed an anonymous survey. Results: Eight of 101 (7.9%) potential respondents were foreign funded. Fifty-two of 101 (51.5%) residents responded. A strong record of graduating its residents was the most important factor residents considered when choosing programs. Satisfaction with their program was expressed by 92.3% of respondents, and 94.3% expressed satisfaction with their specialty. Respondents planning to practice in Canada totaled 80.8%, and 76.9% plan to have academic careers. Respondents identified job availability and receiving adequate teaching from preceptors during residency as their most important concerns. Conclusions: Though most respondents are satisfied with their programs and specialty, job availability and adequate teaching are concerns. In the future, limited time and resources and the continued popularity of radiation oncology as a career will magnify the challenge of training competent radiation oncologists in Canada.

  13. Status of the Dark Energy Survey Camera (DECam) Project

    SciTech Connect (OSTI)

    Flaugher, Brenna L.; Abbott, Timothy M.C.; Angstadt, Robert; Annis, Jim; Antonik, Michelle, L.; Bailey, Jim; Ballester, Otger.; Bernstein, Joseph P.; Bernstein, Rebbeca; Bonati, Marco; Bremer, Gale; /Fermilab /Cerro-Tololo InterAmerican Obs. /ANL /Texas A-M /Michigan U. /Illinois U., Urbana /Ohio State U. /University Coll. London /LBNL /SLAC /IFAE

    2012-06-29

    The Dark Energy Survey Collaboration has completed construction of the Dark Energy Camera (DECam), a 3 square degree, 570 Megapixel CCD camera which will be mounted on the Blanco 4-meter telescope at CTIO. DECam will be used to perform the 5000 sq. deg. Dark Energy Survey with 30% of the telescope time over a 5 year period. During the remainder of the time, and after the survey, DECam will be available as a community instrument. All components of DECam have been shipped to Chile and post-shipping checkout finished in Jan. 2012. Installation is in progress. A summary of lessons learned and an update of the performance of DECam and the status of the DECam installation and commissioning will be presented.

  14. Sloan Digital Sky Survey II (SDSS-II), Data Release 7, including the Legacy Survey

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

    The Sloan Digital Sky Survey (SDSS) is a series of three interlocking imaging and spectroscopic surveys, carried out over an eight-year period with a dedicated 2.5m telescope located at Apache Point Observatory in Southern New Mexico. The seventh data release (DR7) from the SDSS represents a completion of the overall, original project, though SDSS-III began in 2008 and will build upon the knowledge gained already. The SDSS Legacy Survey provided a uniform, well-calibrated map of more than 7,500 square degrees of the North Galactic Cap, and three stripes in the South Galactic Cap totaling 740 square degrees. The central stripe in the South Galactic Gap, Stripe 82, was scanned multiple times to enable a deep co-addition of the data and to enable discovery of variable objects. Legacy data supported studies ranging from asteroids and nearby stars to the large-scale structure of the universe. All of the imaging data have been processed to yield calibrated astrometric and photometric parameters and classifications. These parameters are available in one or more tables in a database accessible via the Catalog Archive Server (CAS) at http://cas.sdss.org/astro. [taken and edited from the Legacy page at http://www.sdss.org/legacy/index.html] All three surveys summarized are: 1) Legacy: an imaging survey in five bands over a contiguous 7646 deg2 high-latitude elliptical region in the Northern Galactic Cap, plus an additional 750 deg2 in the Southern Galactic Cap, together with spectroscopy of complete samples of galaxies and quasars covering about 8200 square degrees. The total imaging area in the Legacy survey is 8423 square degrees; 2) SEGUE: (Sloan Extension for Galactic Understanding and Exploration): additional imaging of 3240 deg2 of sky at lower Galactic latitudes, together with spectroscopy of 240,000 stars towards 200 sight lines covering 1400 square degrees (spread throughout the Legacy and SEGUE imaging footprints), to study the structure of the Milky Way; 3) Supernova: the equivalent of about 80 repeated imaging scans of the Southern Equatorial Stripe (ra > 310 or ra < 59; -1.25 > dec < 1.25) obtained in variable weather conditions (some clouds) to search for supernovae in the redshift range 0.1 < z < 0.4. The catalog derived from the images includes more than 350 million celestial objects, and spectra of 930,000 galaxies, 120,000 quasars, and 460,000 stars. The data are fully calibrated and reduced, carefully checked for quality, and publicly accessible through efficient databases. The data have been publicly released in a series of annual data releases, culminating in the final data release, DR7.

  15. The 43rd annual corrosion survey

    SciTech Connect (OSTI)

    Not Available

    1992-03-01

    Applying the science of corrosion prevention to energy (petroleums, oil, LNG) pipelines in actual field operating conditions is a vital aspect of safely and efficiently operating a pipeline system. Ignoring corrosion prevention will allow this never-sleeping enemy to steal the strength from steel pipelines, turning them into dangerous junk. Various methods, techniques and technologies are available to the corrosion control department of cross-country pipelines and gas distribution utilities around the world. Every year, billions of dollars on corrosion control, including everything from coatings to cathodic protection facilities to pigging, are spent to keep these energy pipeline systems in peak operational efficiency. This paper reports that for more than 4 decades, this corrosion survey has sought out the opinions of corrosion control experts, asking them what are the problems they face daily and innovative solutions they have tried to help solve these problems.

  16. Hazards Survey and Hazards Assessments

    Broader source: Directives, Delegations, and Requirements [Office of Management (MA)]

    1997-08-21

    This volume is to assist DOE Operations/Field Offices and operating contractors in complying with the DOE O 151.1 requirement that Hazards Surveys and facility-specific Hazards Assessments be prepared, maintained, and used for emergency planning purposes. Canceled by DOE G 151.1-2.

  17. Through the years

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

    years Early 1960s Researchers at PNL (now called PNNL) developed the standards and devices for setting and measuring radiation doses received by nuclear industry work- ers. Tens of thousands of people, including children, have been mea- sured by whole-body counters since the 1960s to relate their physical content of radioactive materials to sources such as food and water. 1960s PNL formulated the first use of a digital computer for complete process control of a mass spectrometer. Mid-1960s PNL

  18. Ecological Monitoring and Compliance Program Fiscal Year 1998 Report

    SciTech Connect (OSTI)

    Bechtel Nevada Ecological Services

    1998-10-01

    The Ecological Monitoring and Compliance program, funded through the U. S. Department of Energy/Nevada Operations Office, monitors the ecosystem of the Nevada Test Site and ensures compliance with laws and regulations pertaining to NTS biota. This report summarizes the program's activities conducted by Bechtel Nevada during fiscal year 1998. Twenty-one sites for seven projects were surveyed for the presence of state or federally protected species. Three projects were in or near habitat of the threatened desert tortoise and required special clearance and transect surveys. All geospatial data collected were entered into Bechtel Nevada's Ecological Geographic Information system for use in ongoing ecosystem management of the NTS.

  19. Sloan Digital Sky Survey III (SDSS-III), Data Release 9, including the Baryon Oscillation Spectroscopic Survey (BOSS)

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

    The Third Sloan Digital Sky Survey (SDSS-III) has issued Data Release 9 (DR9), the first public release of data from the Baryon Oscillation Spectroscopic Survey (BOSS). In this release BOSS, the largest of SDSS-IIIs four surveys, provides spectra for 535,995 newly observed galaxies, 102,100 quasars, and 116,474 stars, plus new information about objects in previous Sloan surveys (SDSS-I and II). Spectroscopy yields a wealth of information about astronomical objects including their motion (called redshift and written z), their composition, and sometimes also the density of the gas and other material that lies between them and observers on Earth. The new release lists spectra for galaxies with redshifts up to z = 0.8 (roughly 7 billion light years away) and quasars with redshifts between z = 2.1 and 3.5 (from 10 to 11.5 billion light years away). When BOSS is complete it will have measured 1.5 million galaxies and at least 150,000 quasars, as well as many thousands of stars and other ancillary objects for scientific projects other than BOSSs main goal. [extracts copied from LBL news release of August 8, 2012

  20. Sloan Digital Sky Survey III (SDSS-III), Data Release 9, including the Baryon Oscillation Spectroscopic Survey (BOSS)

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

    The Third Sloan Digital Sky Survey (SDSS-III) has issued Data Release 9 (DR9), the first public release of data from the Baryon Oscillation Spectroscopic Survey (BOSS). In this release BOSS, the largest of SDSS-III’s four surveys, provides spectra for 535,995 newly observed galaxies, 102,100 quasars, and 116,474 stars, plus new information about objects in previous Sloan surveys (SDSS-I and II). Spectroscopy yields a wealth of information about astronomical objects including their motion (called redshift and written z), their composition, and sometimes also the density of the gas and other material that lies between them and observers on Earth. The new release lists spectra for galaxies with redshifts up to z = 0.8 (roughly 7 billion light years away) and quasars with redshifts between z = 2.1 and 3.5 (from 10 to 11.5 billion light years away). When BOSS is complete it will have measured 1.5 million galaxies and at least 150,000 quasars, as well as many thousands of stars and other ancillary objects for scientific projects other than BOSS’s main goal. [extracts copied from LBL news release of August 8, 2012

  1. ,"Projected Year Base","Year","Summer",,,"Eastern Power Grid...

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

    2008 " ,"(Megawatts and Percent)" ,"Projected Year Base","Year","Summer",,,"Eastern Power Grid",,,"Texas Power Grid",,,"Western Power Grid" ,,,"Contiguous...

  2. ,"Projected Year Base","Year","Summer",,,"Eastern Power Grid...

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

    2009 " ,"(Megawatts and Percent)" ,"Projected Year Base","Year","Summer",,,"Eastern Power Grid",,,"Texas Power Grid",,,"Western Power Grid" ,,,"Contiguous...

  3. PRELIMINARY SURVEY OF VITRO CORPORATION

    Office of Legacy Management (LM)

    PRELIMINARY SURVEY OF VITRO CORPORATION (VITRO LABORATORIES) WEST ORANGE, NEW JERSEY Work performed by the Health and Safety Research Division Oak Ridge National Laboratory Oak Ridge, Tennessee 37830 March 1980 OAK RIDGE NATIONAL LABORATORY operated by UNION CARBIDE CORPORATION for the DEPARTMENT OF ENERGY as part of the Formerly Utilized Sites-- Remedial Actton Program VITRO CORPORATION (VITRO LABORATORIES) WEST ORANGE, NEW JERSEY At the request of the Department of Energy (DOE), a preliminary

  4. Fact Sheet Oklahoma Climatological Survey The Oklahoma Mesonet

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

    mesonet.org Revised: May 2007 Fact Sheet Oklahoma Climatological Survey The Oklahoma Mesonet The Oklahoma Mesonet is a world-class network of environmental monitoring stations. Mesonet data have the capacity to help save lives, save Oklahoma taxpayers and businesses millions of dollars annually, increase energy effciency, educate the next generation of citi- zens, and make an incalculable contribution to research projects every year. The Oklahoma Mesonet is a joint partnership between The

  5. "Speak Up" Survey Results - Hanford Site

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

    in the survey. The goal is to use the results to continuously improve Hanford's safety culture and work environment. Results for the "Speak Up" Survey An Organizational Climate and...

  6. Utah Geological Survey | Open Energy Information

    Open Energy Info (EERE)

    Logo: Utah Geological Survey Name: Utah Geological Survey Address: 1594 W. North Temple Place: Salt Lake City, Utah Zip: 84114-6100 Phone Number: 801.537.3300 Website:...

  7. Deployment of ITS: A Summary of the 2010 National Survey Results

    SciTech Connect (OSTI)

    Gordon, Stephen Reed; Trombly, Jeff

    2011-08-01

    This report presents summary results of the 2010 ITS Deployment Tracking survey, the most recent survey conducted by the ITS Deployment Tracking Project. The U.S. Department of Transportation and its member agencies, including the Research and Innovative Technology Administration, have pursued a research and development agenda, the Intelligent Transportation System (ITS) Program, designed to integrate the latest in information technologies to improve the safety, mobility, and reliability of surface transportation modes. Within metropolitan areas, implementation of these advanced technologies has been accomplished by a variety of state and local transportation and emergency management agencies as well as the private sector. In order to measure the rate of ITS deployment within the nation s largest metropolitan areas, the ITS Deployment Tracking Project has conducted a nationwide survey of state and local transportation and emergency management agencies nearly every year since 1997. The results presented in this report are intended to be a summary of the entire database from the 2010 survey. Access to the complete survey results and previous national surveys are available on-line at http://www.itsdeployment.its.dot.gov. The website also provides access to survey results in the form of downloadable reports, including a survey summary for each survey type and fact sheets. Nearly 1,600 surveys were distributed to state and local transportation agencies in 2010. A total of seven (7) survey types were distributed including: Freeway Management, Arterial Management, Transit Management, Transportation Management Center (TMC), Electronic Toll Collection (ETC), Public Safety Law Enforcement, and Public Safety Fire/Rescue. Among other things, the data collection results indicate that ITS has moved from being experimental to mainstream and interest in continuing investments in ITS continues to be very strong. When asked about future deployment plans, one-third to three-fourths of the different agency types report they will expand current deployments and about half are planning to invest in new technologies over the next three years.

  8. STEP Non-Participant Survey Report

    Broader source: Energy.gov [DOE]

    STEP Non-Participant Survey Report, from the Tool Kit Framework: Small Town University Energy Program (STEP).

  9. DC Survey 2013 | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    Management / Aerial Measuring System DC Survey 2013 DC Background Survey (.zip) DC 2013 survey Related Topics ams Emergency Response Related News Department of Energy's chief risk officer visits Nevada National Security Site NNSA sites prepared for disasters using real-time response management system NNSA emergency response assets highlighted NNSA displays helicopter in Baltimore NNSA to Conduct Aerial Radiation Monitoring Survey over Boston April 17-20

  10. Projects of the year

    SciTech Connect (OSTI)

    Hansen, T.

    2007-01-15

    The Peabody Hotel, Orlando, Florida was the site of Power Engineering magazine's 2006 Projects of the Year Awards Banquet, which kicked-off the Power-Gen International conference and exhibition. The Best Coal-fired Project was awarded to Tri-State Generation and Transmission Association Inc., owner of Springenville Unit 3. This is a 400 MW pulverized coal plant in Springeville, AZ, sited with two existing coal-fired units. Designed to fire Powder River Basin coal, it has low NOx burners and selective catalytic reduction for NOx control, dry flue gas desulfurization for SO{sub 2} control and a pulse jet baghouse for particulate control. It has a seven-stage feedwater heater and condensers to ensure maximum performance. Progress Energy-Carolinas' Asheville Power Station FGD and SCR Project was awarded the 2006 coal-fired Project Honorable Mention. This plant in Skyland, NC was required to significantly reduce NOx emissions. When completed, the improvements will reduce NOx by 93% compared to 1996 levels and SO{sub 2} by 93% compared to 2001 levels. Awards for best gas-fired, nuclear, and renewable/sustainable energy projects are recorded. The Sasyadko Coal-Mine Methane Cogeneration Plant near Donezk, Ukraine, was given the 2006 Honorable Mention for Best Renewable/Sustainable Energy Project. In November 2004, Ukraine was among 14 nations to launch the Methane to Markets partnership. The award-winning plant is fuelled by methane released during coal extraction. It generates 42 MW of power. 4 photos.

  11. Concurrent Transfers Historical Yearly Peak

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

    the graph for current year shows the data for the year-to-date peak. Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily...

  12. Planning for Years to Come

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

    Planning for Years to Come Planning for Years to Come LANL's Governing Policy on the Environment August 1, 2013 Water sampling tour for the Association of Experiential Education ...

  13. Fall 1994 wildlife and vegetation survey, Norton Air Force Base, California

    SciTech Connect (OSTI)

    Not Available

    1994-12-15

    The fall 1994 wildlife and vegetation surveys were completed October 3-7, 1994, at Norton Air Force Base (AFB), California. Two biologists from CDM Federal Programs, the U.S. Environmental Protection Agency (EPA) regional biologist and the Oak Ridge National Laboratory (ORNL) lead biologist conducted the surveys. A habitat assessment of three Installation Restoration Project (IRP) sites at Norton Air Force Base was also completed during the fall survey period. The IRP sites include: Landfill No. 2 (Site 2); the Industrial Wastewater Treatment Plant (IWTP) area; and Former Fire Training Area No. 1 (Site 5). The assessments were designed to qualitatively characterize the sites of concern, identify potential ecological receptors, and provide information for Remedial Design/Remedial Action activities. A Reference Area (Santa Ana River Wash) and the base urban areas were also characterized. The reference area assessment was performed to provide a baseline for comparison with the IRP site habitats. The fall 1994 survey is the second of up to four surveys that may be completed. In order to develop a complete understanding of all plant and animal species using the base, these surveys were planned to be conducted over four seasons. Species composition can vary widely during the course of a year in Southern California, and therefore, seasonal surveys will provide the most complete and reliable data to address changes in habitat structure and wildlife use of the site. Subsequent surveys will focus on seasonal wildlife observations and a spring vegetation survey.

  14. Avian survey and field guide for Osan Air Base, Korea.

    SciTech Connect (OSTI)

    Levenson, J.

    2006-12-05

    This report summarizes the results of the avian surveys conducted at Osan Air Base (AB). This ongoing survey is conducted to comply with requirements of the Environmental Governing Standards (EGS) for the Republic of Korea, the Integrated Natural Resources Management Plan (INRMP) for Osan AB, and the 51st Fighter Wing's Bird Aircraft Strike Hazard (BASH) Plan. One hundred ten bird species representing 35 families were identified and recorded. Seven species are designated as Natural Monuments, and their protection is accorded by the Korean Ministry of Culture and Tourism. Three species appear on the Korean Association for Conservation of Nature's (KACN's) list of Reserved Wild Species and are protected by the Korean Ministry of Environment. Combined, ten different species are Republic of Korea (ROK)-protected. The primary objective of the avian survey at Osan AB was to determine what species of birds are present on the airfield and their respective habitat requirements during the critical seasons of the year. This requirement is specified in Annex J.14.c of the 51st Fighter BASH Plan 91-212 (51 FW OPLAN 91-212). The second objective was to initiate surveys to determine what bird species are present on Osan AB throughout the year and from the survey results, determine if threatened, endangered, or other Korean-listed bird species are present on Osan AB. This overall census satisfies Criterion 13-3.e of the EGS for Korea. The final objective was to formulate management strategies within Osan AB's operational requirements to protect and enhance habitats of known threatened, endangered, and ROK-protected species in accordance with EGS Criterion 13-3.a that are also favorable for the reproduction of indigenous species in accordance with the EGS Criterion 13-3.h.

  15. Survey of the Economics of Hydrogen Technologies | Department...

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

    Survey of the Economics of Hydrogen Technologies Survey of the Economics of Hydrogen Technologies Survey of the Economics of Hydrogen Technologies PDF icon 27079.pdf More Documents ...

  16. Gamma Survey of a Permeable Reactive Barrier at Monticello, Utah...

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

    Gamma Survey of a Permeable Reactive Barrier at Monticello, Utah Gamma Survey of a Permeable Reactive Barrier at Monticello, Utah Gamma Survey of a Permeable Reactive Barrier at...

  17. Category:Static Temperature Survey | Open Energy Information

    Open Energy Info (EERE)

    Static Temperature Survey Jump to: navigation, search Geothermalpower.jpg Looking for the Static Temperature Survey page? For detailed information on Static Temperature Survey,...

  18. Department of Energy Earned Value Management Survey Results ...

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

    Department of Energy Earned Value Management Survey Results Department of Energy Earned Value Management Survey Results Humphreys & Associates, Inc. (H&A) conducted a survey of ...

  19. Housing characteristics, 1987: Residential Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1989-05-26

    This report is the first of a series of reports based on data from the 1987 RECS. The 1987 RECS is the seventh in the series of national surveys of households and their energy suppliers. These surveys provide baseline information on how households in the United States use energy. A cross section of housing types such as single-family detached homes, townhouses, large and small apartment buildings, condominiums, and mobile homes were included in the survey. Data from the RECS and a companion survey, the Residential Transportation Energy Consumption Survey (RTECS), are available to the public in published reports such as this one and on public use tapes. 10 figs., 69 tabs.

  20. User-needs study for the 1992 Commercial Buildings Energy Consumption Survey. [Energy Consumption Series

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The Commercial Buildings Energy Consumption Survey (CBECS) that is conducted by the Energy Information Administration (EIA) is the primary source of energy data for commercial buildings in the United States. The survey began in 1979 and has subsequently been conducted in 1983, 1986, and 1989. The next survey will cover energy consumption during the year 1992. The building characteristic data will be collected between August 1992 and early December 1992. Requests for energy consumption data are mailed to the energy suppliers in January 1993, with data due by March 1993. Before each survey is sent into the field, the data users' needs are thoroughly assessed. The purpose of this report is to document the findings of that user-needs assessment for the 1992 survey.

  1. User-needs study for the 1992 Commercial Buildings Energy Consumption Survey

    SciTech Connect (OSTI)

    Not Available

    1992-09-01

    The Commercial Buildings Energy Consumption Survey (CBECS) that is conducted by the Energy Information Administration (EIA) is the primary source of energy data for commercial buildings in the United States. The survey began in 1979 and has subsequently been conducted in 1983, 1986, and 1989. The next survey will cover energy consumption during the year 1992. The building characteristic data will be collected between August 1992 and early December 1992. Requests for energy consumption data are mailed to the energy suppliers in January 1993, with data due by March 1993. Before each survey is sent into the field, the data users` needs are thoroughly assessed. The purpose of this report is to document the findings of that user-needs assessment for the 1992 survey.

  2. Site survey method and apparatus

    DOE Patents [OSTI]

    Oldham, James G.; Spencer, Charles R.; Begley, Carl L.; Meyer, H. Robert

    1991-06-18

    The disclosure of the invention is directed to a site survey ground vehicle based apparatus and method for automatically detecting source materials, such as radioactivity, marking the location of the source materials, such as with paint, and mapping the location of the source materials on a site. The apparatus of the invention is also useful for collecting and analyzing samples. The apparatus includes a ground vehicle, detectors mounted at the front of the ground vehicle, and individual detector supports which follow somewhat irregular terrain to allow consistent and accurate detection, and autolocation equipment.

  3. Site survey method and apparatus

    DOE Patents [OSTI]

    Oldham, J.G.; Spencer, C.R.; Begley, C.L.; Meyer, H.R.

    1991-06-18

    The disclosure of the invention is directed to a site survey ground vehicle based apparatus and method for automatically detecting source materials, such as radioactivity, marking the location of the source materials, such as with paint, and mapping the location of the source materials on a site. The apparatus of the invention is also useful for collecting and analyzing samples. The apparatus includes a ground vehicle, detectors mounted at the front of the ground vehicle, and individual detector supports which follow somewhat irregular terrain to allow consistent and accurate detection, and autolocation equipment. 19 figures.

  4. Aggregate Transfers Historical Yearly Peak

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

    Transfers Historical Yearly Peak Aggregate Transfers Historical Yearly Peak These plots show the yearly peak days from 2000 to the present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for current year shows the data for the year-to-date peak. Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate Bandwidth Daily Aggregate

  5. Concurrent Transfers Historical Yearly Peak

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

    Transfers Historical Yearly Peak Concurrent Transfers Historical Yearly Peak These plots show the yearly peak days from 2000 to present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for current year shows the data for the year-to-date peak. Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage Concurrency Daily Storage

  6. Three years of Swift/BAT Survey of AGN: Reconciling Theory and...

    Office of Scientific and Technical Information (OSTI)

    A. ; Garching, Max Planck Inst., MPE Muenchen, Tech. U. Universe ; Gehrels, N. ; NASA, Goddard Publication Date: 2011-02-07 OSTI Identifier: 1004918 Report Number(s):...

  7. YEAR 2 BIOMASS UTILIZATION

    SciTech Connect (OSTI)

    Christopher J. Zygarlicke

    2004-11-01

    This Energy & Environmental Research Center (EERC) Year 2 Biomass Utilization Final Technical Report summarizes multiple projects in biopower or bioenergy, transportation biofuels, and bioproducts. A prototype of a novel advanced power system, termed the high-temperature air furnace (HITAF), was tested for performance while converting biomass and coal blends to energy. Three biomass fuels--wood residue or hog fuel, corn stover, and switchgrass--and Wyoming subbituminous coal were acquired for combustion tests in the 3-million-Btu/hr system. Blend levels were 20% biomass--80% coal on a heat basis. Hog fuel was prepared for the upcoming combustion test by air-drying and processing through a hammer mill and screen. A K-Tron biomass feeder capable of operating in both gravimetric and volumetric modes was selected as the HITAF feed system. Two oxide dispersion-strengthened (ODS) alloys that would be used in the HITAF high-temperature heat exchanger were tested for slag corrosion rates. An alumina layer formed on one particular alloy, which was more corrosion-resistant than a chromia layer that formed on the other alloy. Research activities were completed in the development of an atmospheric pressure, fluidized-bed pyrolysis-type system called the controlled spontaneous reactor (CSR), which is used to process and condition biomass. Tree trimmings were physically and chemically altered by the CSR process, resulting in a fuel that was very suitable for feeding into a coal combustion or gasification system with little or no feed system modifications required. Experimental procedures were successful for producing hydrogen from biomass using the bacteria Thermotoga, a deep-ocean thermal vent organism. Analytical procedures for hydrogen were evaluated, a gas chromatography (GC) method was derived for measuring hydrogen yields, and adaptation culturing and protocols for mutagenesis were initiated to better develop strains that can use biomass cellulose. Fly ash derived from cofiring coal with waste paper, sunflower hulls, and wood waste showed a broad spectrum of chemical and physical characteristics, according to American Society for Testing and Materials (ASTM) C618 procedures. Higher-than-normal levels of magnesium, sodium, and potassium oxide were observed for the biomass-coal fly ash, which may impact utilization in cement replacement in concrete under ASTM requirements. Other niche markets for biomass-derived fly ash were explored. Research was conducted to develop/optimize a catalytic partial oxidation-based concept for a simple, low-cost fuel processor (reformer). Work progressed to evaluate the effects of temperature and denaturant on ethanol catalytic partial oxidation. A catalyst was isolated that had a yield of 24 mole percent, with catalyst coking limited to less than 15% over a period of 2 hours. In biodiesel research, conversion of vegetable oils to biodiesel using an alternative alkaline catalyst was demonstrated without the need for subsequent water washing. In work related to biorefinery technologies, a continuous-flow reactor was used to react ethanol with lactic acid prepared from an ammonium lactate concentrate produced in fermentations conducted at the EERC. Good yields of ester were obtained even though the concentration of lactic acid in the feed was low with respect to the amount of water present. Esterification gave lower yields of ester, owing to the lowered lactic acid content of the feed. All lactic acid fermentation from amylose hydrolysate test trials was completed. Management activities included a decision to extend several projects to December 31, 2003, because of delays in receiving biomass feedstocks for testing and acquisition of commercial matching funds. In strategic studies, methods for producing acetate esters for high-value fibers, fuel additives, solvents, and chemical intermediates were discussed with several commercial entities. Commercial industries have an interest in efficient biomass gasification designs but are waiting for economic incentives. Utility, biorefinery, pulp and paper, or other industries are interested in lignin as a potential fuel or feedstock but need more information on properties.

  8. Multiple long-streamer technology speeds seismic survey off Brazil

    SciTech Connect (OSTI)

    Seeley, C.R.

    1995-09-18

    Now that 3D seismic is the survey of choice for most developing areas, the latest trend in conventional marine seismic acquisition has been pulling more streamers (sensor cables) behind each vessel. The goal behind the multi-streamer movement is obtaining the best data set as inexpensively as possible. PGS Exploration Inc. used its R/V Atlantic Explorer, pulling four seismic streamers measuring 4,000 m each with 160 recording channels/streamer, to complete a survey in 77 days--13 to 18 days earlier than planned--for Petroleo Brasileiro SA (Petrobras) in the Cabo Frio area of the Campos basin in Brazilian territorial waters. The survey was conducted from Jan. 19 to Apr. 4 in an area southeast of the existing Campos development, site of at least nine world records for deepwater production. It was performed in water depths ranging from 130 m to 2,000 m. Petrobras desired the 3D survey, the first int hat part of the Campos basin and the first turnkey 3D seismic contract signed by Petrobras, after its discovery of Guarajuba field last year in that region. The paper describes data acquisition and processing.

  9. 60 Years of Computing | Department of Energy

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

    60 Years of Computing 60 Years of Computing

  10. Large Synoptic Survey Telescope: From Science Drivers to Reference Design

    SciTech Connect (OSTI)

    Ivezic, Z.; Axelrod, T.; Brandt, W.N.; Burke, D.L.; Claver, C.F.; Connolly, A.; Cook, K.H.; Gee, P.; Gilmore, D.K.; Jacoby, S.H.; Jones, R.L.; Kahn, S.M.; Kantor, J.P.; Krabbendam, V.; Lupton, R.H.; Monet, D.G.; Pinto, P.A.; Saha, A.; Schalk, T.L.; Schneider, D.P.; Strauss, Michael A.; /Washington U., Seattle, Astron. Dept. /LSST Corp. /Penn State U., Astron. Astrophys. /KIPAC, Menlo Park /NOAO, Tucson /LLNL, Livermore /UC, Davis /Princeton U., Astrophys. Sci. Dept. /Naval Observ., Flagstaff /Arizona U., Astron. Dept. - Steward Observ. /UC, Santa Cruz /Harvard U. /Johns Hopkins U. /Illinois U., Urbana

    2011-10-14

    In the history of astronomy, major advances in our understanding of the Universe have come from dramatic improvements in our ability to accurately measure astronomical quantities. Aided by rapid progress in information technology, current sky surveys are changing the way we view and study the Universe. Next-generation surveys will maintain this revolutionary progress. We focus here on the most ambitious survey currently planned in the visible band, the Large Synoptic Survey Telescope (LSST). LSST will have unique survey capability in the faint time domain. The LSST design is driven by four main science themes: constraining dark energy and dark matter, taking an inventory of the Solar System, exploring the transient optical sky, and mapping the Milky Way. It will be a large, wide-field ground-based system designed to obtain multiple images covering the sky that is visible from Cerro Pachon in Northern Chile. The current baseline design, with an 8.4 m (6.5 m effective) primary mirror, a 9.6 deg{sup 2} field of view, and a 3,200 Megapixel camera, will allow about 10,000 square degrees of sky to be covered using pairs of 15-second exposures in two photometric bands every three nights on average. The system is designed to yield high image quality, as well as superb astrometric and photometric accuracy. The survey area will include 30,000 deg{sup 2} with {delta} < +34.5{sup o}, and will be imaged multiple times in six bands, ugrizy, covering the wavelength range 320-1050 nm. About 90% of the observing time will be devoted to a deep-wide-fast survey mode which will observe a 20,000 deg{sup 2} region about 1000 times in the six bands during the anticipated 10 years of operation. These data will result in databases including 10 billion galaxies and a similar number of stars, and will serve the majority of science programs. The remaining 10% of the observing time will be allocated to special programs such as Very Deep and Very Fast time domain surveys. We describe how the LSST science drivers led to these choices of system parameters.

  11. Wellbore inertial directional surveying system

    DOE Patents [OSTI]

    Andreas, Ronald D.; Heck, G. Michael; Kohler, Stewart M.; Watts, Alfred C.

    1991-01-01

    A wellbore inertial directional surveying system for providing a complete directional survey of an oil or gas well borehole to determine the displacement in all three directions of the borehole path relative to the well head at the surface. The information generated by the present invention is especially useful when numerous wells are drilled to different geographical targets from a single off-shore platform. Accurate knowledge of the path of the borehole allows proper well spacing and provides assurance that target formations are reached. The tool is lowered down into a borehole on the electrical cable. A computer positioned on the surface communicates with the tool via the cable. The tool contains a sensor block which is supported on a single gimbal, the rotation axis of which is aligned with the cylinder axis of the tool and, correspondingly, the borehole. The gyroscope measurement of the sensor block rotation is used in a null-seeking servo loop which essentially prevents rotation of the sensor block aboutthe gimbal axis. Angular rates of the sensor block about axes which are perpendicular to the gimbal axis are measured by gyroscopes in a manner similar to a strapped-down arrangement. Three accelerometers provide acceleration information as the tool is lowered within the borehole. The uphole computer derives position information based upon acceleration information and anular rate information. Kalman estimation techniques are used to compensate for system errors.

  12. Wellbore inertial directional surveying system

    DOE Patents [OSTI]

    Andreas, R.D.; Heck, G.M.; Kohler, S.M.; Watts, A.C.

    1982-09-08

    A wellbore inertial directional surveying system for providing a complete directional survey of an oil or gas well borehole to determine the displacement in all three directions of the borehole path relative to the well head at the surface. The information generated by the present invention is especially useful when numerous wells are drilled to different geographical targets from a single offshore platform. Accurate knowledge of the path of the borehole allows proper well spacing and provides assurance that target formations are reached. The tool is lowered down into a borehole on an electrical cable. A computer positioned on the surface communicates with the tool via the cable. The tool contains a sensor block which is supported on a single gimbal, the rotation axis of which is aligned with the cylinder axis of the tool and, correspondingly, the borehole. The gyroscope measurement of the sensor block rotation is used in a null-seeking servo loop which essentially prevents rotation of the sensor block about the gimbal axis. Angular rates of the sensor block about axes which are perpendicular to te gimbal axis are measured by gyroscopes in a manner similar to a strapped-down arrangement. Three accelerometers provide acceleration information as the tool is lowered within the borehole. The uphole computer derives position information based upon acceleration information and angular rate information. Kalman estimation techniques are used to compensate for system errors. 25 figures.

  13. Alaska Maximum Number of Active Crews Engaged in Seismic Surveying (Number

    Gasoline and Diesel Fuel Update (EIA)

    of Elements) Seismic Surveying (Number of Elements) Alaska Maximum Number of Active Crews Engaged in Seismic Surveying (Number of Elements) Year Jan Feb Mar Apr May Jun Jul Aug Sep Oct Nov Dec 2000 0 0 2 3 3 3 1 1 0 0 0 0 2001 0 0 0 0 2 2 0 0 0 0 0 0 2002 2 2 2 2 2 2 2 2 2 2 2 1 2003 0 0 2 2 2 2 2 2

  14. BLINDLY DETECTING MERGING SUPERMASSIVE BLACK HOLES WITH RADIO SURVEYS

    SciTech Connect (OSTI)

    Kaplan, D. L.; O'Shaughnessy, R.; Sesana, A.; Volonteri, M. E-mail: oshaughn@gravity.phys.uwm.edu E-mail: martav@umich.edu

    2011-06-20

    Supermassive black holes (SMBHs) presumably grow through numerous mergers throughout cosmic time. During each merger, SMBH binaries are surrounded by a circumbinary accretion disk that imposes a significant ({approx}10{sup 4} G for a binary of 10{sup 8} M{sub sun}) magnetic field. The motion of the binary through that field will convert the field energy to Poynting flux, with a luminosity {approx}10{sup 43} erg s{sup -1} (B/10{sup 4} G){sup 2}(M/10{sup 8} M{sub sun}){sup 2}, some of which may emerge as synchrotron emission at frequencies near 1 GHz where current and planned wide-field radio surveys will operate. We find that the short timescales of many mergers will limit their detectability with most planned blind surveys to <1 per year over the whole sky, independent of the details of the emission process and flux distribution. Including an optimistic estimate for the radio flux makes detection even less likely, with <0.1 mergers per year over the whole sky. However, wide-field radio instruments may be able to localize systems identified in advance of merger by gravitational waves. Further, radio surveys may be able to detect the weaker emission produced by the binary's motion as it is modulated by spin-orbit precession and inspiral well in advance of merger.

  15. 2013 Director's New Year Address

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

    has in store for the ALS. An immediate answer is - a celebration - as the ALS marks its 20th year of operation. We'll spend some time this year looking back at what we've...

  16. Microsoft Word - The Oppenheimer Years

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

    Oppenheimer Years 1943-1945 At 5:29:45 am MWT on July 16, 1945, the world's first atomic ... He graduated summa cum laude three years later. Oppenheimer wanted to attend graduate ...

  17. WIPP_Marks_12_Years

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

    Marks 12 Years of Operations CARLSBAD, N.M., March 28, 2011 - On Saturday, March 26, 2011, ... It has now been 12 years since WIPP received its first shipment of transuranic (TRU) ...

  18. Year's End 2012 | Jefferson Lab

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

    Year's End 2012 Year's End 2012 September 27, 2012 Throughout history, civilizations have developed their own calendars and commemorated the start of a New Year. Modern civilizations often have two calendars, the second being the financial calendar. In the United Kingdom and Japan the financial year starts on April 1. In the United States, the relevant date for the federal government is Oct. 1 - Monday, next week. Working in a national laboratory, our links to the national budget cycle are

  19. Elk Monitoring Report for Calendar Year 2012

    SciTech Connect (OSTI)

    Lindsey, Cole T.; Nugent, John J.; Wilde, Justin W.; Tiller, B

    2013-03-12

    Four complete surveys were conducted during 2012. The surveys were conducted on April 5, June 19, October 25, and December 18. During the first survey, conducted on April 5, the aerial survey crew detected 26 elk while the ground survey crew detected zero. For the June 19 survey, the aerial survey detected four elk not detected by the ground crew, while the ground crew detected 13 elk not detected by the aerial crew. A total of 17 elk were detected on June 19, 2012. On October 25, surveyors detected two herds of elk. Both the aerial and ground crews detected one herd of six, while only the ground crew detected the other herd of four. No elk were observed during the final survey, conducted on December 18.

  20. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    EIA has conducted the Residential Energy Consumption Survey (RECS) since 1978 to provide data on home energy characteristics, end uses of energy, and expenses for the four Census ...

  1. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    As a part of the Residential Energy Consumption Survey (RECS), trained interviewers measure the square footage of each housing unit. RECS square footage data allow comparison of ...

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

    Gasoline and Diesel Fuel Update (EIA)

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

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

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

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

  4. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

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

    RECS 2009 - Release date: March 28, 2011 First results from EIA's 2009 Residential Energy Consumption Survey (RECS) The 2009 RECS collected home energy characteristics data from ...

  5. 2007/2008 User Survey Results

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

    all six DOE Science Offices and a variety of home institutions: see Respondent Demographics. The survey responses provide feedback about every aspect of NERSC's operation,...

  6. 2009/2010 User Survey Results

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

    Next 20092010 User Survey Results Table of Contents Response Summary Respondent Demographics Overall Satisfaction All Satisfaction and Importance Ratings HPC Resources NERSC...

  7. 2010/2011 User Survey Results

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

    Next 20102011 User Survey Results Table of Contents Response Summary Respondent Demographics Score Legend Satisfaction and Importance Scores HPC Resources Software Services...

  8. LANSCE | User Resources | User Satisfaction Survey

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

    User Satisfaction Survey We hope that your research at the Los Alamos Neutron Science Center was productive and successful. Your feedback is important to the Department of Energy...

  9. radiological survey | National Nuclear Security Administration

    National Nuclear Security Administration (NNSA)

    San Francisco Bay Area Aerial Radiation Assessment Survey (SAN JOSE and SAN FRANCISCO, California) - A helicopter may be seen flying at low altitudes over portions of the San ...

  10. Ground Gravity Survey | Open Energy Information

    Open Energy Info (EERE)

    Et Al., 2000) Dixie Valley Geothermal Area 1999 2000 Precise Gravimetry and Geothermal Reservoir Management Ground Gravity Survey At Dixie Valley Geothermal Area (Blackwell, Et...

  11. Aeromagnetic Survey And Interpretation, Ascention Island, South...

    Open Energy Info (EERE)

    And Interpretation, Ascention Island, South Atlantic Ocean Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Aeromagnetic Survey And...

  12. FAQs for Survey Form EIA-7A

    Gasoline and Diesel Fuel Update (EIA)

    ... See the EIA Glossary for other coal definitions. How does EIA classify coal rank? Rank ... Form(Includes Instructions). Calculator Conversion calculator Who can I contact? Survey ...

  13. FAQs for Survey Form EIA-8A

    Gasoline and Diesel Fuel Update (EIA)

    ... See the EIA Glossary for other coal definitions. How does EIA classify coal rank? Rank ... Form (Includes Instructions) Calculator Conversion calculator Who can I contact? Survey ...

  14. FAQs for Survey Form EIA-3

    Gasoline and Diesel Fuel Update (EIA)

    ... See the EIA Glossary for coal definitions. How does EIA classify coal rank? Rank types ... Forms (Includes Instructions) Calculator Conversion calculator Who can I contact? Survey ...

  15. Geothermal resistivity resource evaluation survey Waunita Hot...

    Open Energy Info (EERE)

    resistivity resource evaluation survey Waunita Hot Springs project, Gunnison County, Colorado Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Geothermal...

  16. Pre-Award Accounting System Survey

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

    PRE-AWARD ACCOUNTING SYSTEM SURVEY Applicant: Funding Opportunity AnnouncementSolicitation No.: This accounting system review is designed to determine the adequacy and suitability...

  17. FAQs for Survey Form EIA-14

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

    These prices are published in the following tables of the Petroleum Marketing Monthly ... If you are interested in receiving this free software, contact the Survey Respondent ...

  18. FAQs for Survey Form EIA-182

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

    price(s) are published in the Petroleum Marketing Monthly, the Monthly Energy Review, the ... If you are interested in receiving this free software, contact the Survey Respondent ...

  19. Aeromagnetic Survey (Nannini, 1986) | Open Energy Information

    Open Energy Info (EERE)

    These surveys are based on the magnetic susceptibility contrast between magmatic rocks at depth and the sedimentary formations above. References Raffaello Nannini (1986)...

  20. Federal Buildings Supplemental Survey - Index Page

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

    Buildings 1993 Federal Buildings Supplemental Survey Overview Full Report Tables Energy usage and energy costs, by building characteristics, for federally-owned buildings in...

  1. Transfer Activity Historical Yearly Peak

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

    Activity Historical Yearly Peak Transfer Activity Historical Yearly Peak The plots below show the yearly peak days from 2000 to the present. BE CAREFUL because the graphs are autoscaling - check the scales on each axis before you compare graphs. Note that the graph for the current year shows the data for the year-to-date peak. Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In Progress Transfers Started/In

  2. YEAR

    National Nuclear Security Administration (NNSA)

    Asian American Pacific Islander Male (AAPI M) 21 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 5 Hispanic Female (H F) 3 White Male (W M) 26 White Female (W ...

  3. YEAR

    National Nuclear Security Administration (NNSA)

    Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 2 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 46 White Female (W ...

  4. YEAR

    National Nuclear Security Administration (NNSA)

    Asian American Pacific Islander Male (AAPI M) 4 Asian American Pacific Islander Female (AAPI F) 1 Hispanic Male (H M) 6 Hispanic Female (H F) 6 White Male (W M) 68 White Female (W ...

  5. YEAR

    National Nuclear Security Administration (NNSA)

    Asian American Pacific Islander Male (AAPI M) 3 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 13 Hispanic Female (H F) 10 White Male (W M) 43 White Female ...

  6. YEAR

    National Nuclear Security Administration (NNSA)

    Asian American Pacific Islander Male (AAPI M) 2 Asian American Pacific Islander Female (AAPI F) 0 Hispanic Male (H M) 12 Hispanic Female (H F) 12 White Male (W M) 34 White Female ...

  7. YEAR

    National Nuclear Security Administration (NNSA)

    White Male (W M) 13 White Female (W F) 5 DIVERSITY TOTAL WORKFORCE GENDER Savannah River ... ELIGIBLE TO RETIRE IMMEDIATELY 5 ELIGIBLE TO RETIRE IN 5 YRS BY 2019 9 Savannah River ...

  8. YEAR

    National Nuclear Security Administration (NNSA)

    2012 2013 SES 2 1 -50.00% EJEK 10 9 -10.00% EN 04 27 24 -11.11% NN (Engineering) 28 24 -14.29% NQ (ProfTechAdmin) 31 29 -6.45% NU (TechAdmin Support) 4...

  9. YEAR

    National Nuclear Security Administration (NNSA)

    SES 1 2 100.00% EJEK 2 2 0.00% EN 04 1 1 0.00% EN 03 1 0 -100.00% NN (Engineering) 12 11 -8.33% NQ (ProfTechAdmin) 216 218 0.93% NU (TechAdmin Support) 2...

  10. YEAR

    National Nuclear Security Administration (NNSA)

    2013 SES 2 2 0.00% EJEK 7 8 14.29% EN 04 11 11 0.00% EN 03 1 1 0.00% NN (Engineering) 23 24 4.35% NQ (ProfTechAdmin) 35 32 -8.57% NU (TechAdmin Support) 3 2...

  11. YEAR

    National Nuclear Security Administration (NNSA)

    1.6% 6.6% 0.7% 17.5% 49.7% 2.7% 13.4% 0.1% 0.1% 0.1% Pay Plan Males 66.5% Females 33.5% Gender AIAN M AIAN F AA M AA F AAPI M AAPI F H M H F W M W F 1.1% 1.0% 3.7% 5.8% 2.6% 1.0%...

  12. Environmental Survey Report for ORNL: Small Mammal Abundance and Distribution Survey Oak Ridge National Environmental Research Park 2009 - 2010

    SciTech Connect (OSTI)

    Giffen, Neil R; Reasor, R. Scott; Campbell, Claire L.

    2009-12-01

    This report summarizes a 1-year small mammal biodiversity survey conducted on the Oak Ridge National Environmental Research Park (OR Research Park). The task was implemented through the Oak Ridge National Laboratory (ORNL) Natural Resources Management Program and included researchers from the ORNL Environmental Sciences Division, interns in the Oak Ridge Institute for Science and Education Higher Education Research Experiences Program, and ORNL Environmental Protection Services staff. Eight sites were surveyed reservation wide. The survey was conducted in an effort to determine species abundance and diversity of small mammal populations throughout the reservation and to continue the historical inventory of small mammal presence for biodiversity records. This data collection effort was in support of the approved Wildlife Management Plan for the Oak Ridge Reservation, a major goal of which is to maintain and enhance wildlife biodiversity on the Reservation. Three of the sites (Poplar Creek, McNew Hollow, and Deer Check Station Field) were previously surveyed during a major natural resources inventory conducted in 1996. Five new sites were included in this study: Bearden Creek, Rainy Knob (Natural Area 21), Gum Hollow, White Oak Creek and Melton Branch. The 2009-2010 small mammal surveys were conducted from June 2009 to July 2010 on the Oak Ridge National Environmental Research Park (OR Research Park). The survey had two main goals: (1) to determine species abundance and diversity and (2) to update historical records on the OR Research Park. The park is located on the Department of Energy-owned Oak Ridge Reservation, which encompasses 13,580 ha. The primary focus of the study was riparian zones. In addition to small mammal sampling, vegetation and coarse woody debris samples were taken at certain sites to determine any correlations between habitat and species presence. During the survey all specimens were captured and released using live trapping techniques including Sherman and pitfall traps. In total 227 small mammals representing nine species were captured during the course of the study. The most common species found in the study was the white-footed mouse (Peromyscus leucopus). The least common species found were the deer mouse (Peromyscus maniculatus), meadow jumping mouse (Zapus hudsonius), woodland vole (Microtus pinetorum), and northern short-tailed shrew (Blarina brevicauda).

  13. 2006 XSD Scientific Software User Survey.

    SciTech Connect (OSTI)

    Jemian, P. R.

    2007-01-22

    In preparation for the 2006 XSD Scientific Software workshop, our committee sent a survey on June 16 to 100 users in the APS user community. This report contains the survey and the responses we received. The responses are presented in the order received.

  14. PADUCAH 2015 YEAR IN REVIEW

    Energy Savers [EERE]

    PADUCAH 2015 YEAR IN REVIEW "2015 has been a pivotal year at the Paducah Site. Now that we have successfully transitioned the gaseous diffusion plant from NRC oversight to DOE oversight and DOE has the entire site back for the first time in almost 20 years, major deactivation activities are under way to prepare the site for future decontamination and decommissioning. We are fortunate to have a highly skilled federal and contractor workforce in place to safely and successfully continue this

  15. The 1986 residential occupant survey

    SciTech Connect (OSTI)

    Ivey, D.L.; Alley, P.K.

    1987-04-01

    In 1986, Pacific Northwest Laboratory developed the Residential Occupant Survey-Spring '86, which was implemented. The overall purpose of the study was to collect demographic, attitudinal, and behavioral data related to the use and conservation of electricity in dwellings participating in the Bonneville Power Administration's End-Use Load and Conservation Assessment Program (ELCAP). Information was collected on the respondents' perceptions of the energy efficiency of their dwelling, temperature the dwelling was kept when people were at home and awake during the last heating season, which rooms, if any, were not heated during the last heating season, number of times the dwelling was unoccupied for at least one week, number of times pets were let out of the dwelling per day, attitudes toward energy use and conservation and several socio-demographic variables such as age, sex, and total household income. The results of the data analyses showed age to be an important factor for reported indoor temperature and perceived energy efficiency of the dwelling. The results also showed that almost 60% of the ELCAP occupants do not heat one or more rooms during the heating season, and almost 45% of the ELCAP dwellings were unoccupied for at least one week during the reporting period. In terms of the reported allocation of household income for household energy expenses, the results showed that the reported dollar amount spent for the expenses remained relatively constant over income levels.

  16. Commercial Buildings Energy Consumption Survey (CBECS) - U.S. Energy

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration (EIA) CBECS Terminology NOTE: This glossary is specific to the 1999, 2003 and 2012Commercial Buildings Energy Consumption Surveys (CBECS). CBECS glossaries for prior years can be found in the appendices of past CBECS reports. A B C D E F G H I J K L M N O P Q R S T U V W X Y Z Account Classification: The method in which suppliers of electricity, natural gas, or fuel oil classify and bill their customers. Commonly used account classifications are

  17. NETL: The First 100 Years

    SciTech Connect (OSTI)

    2015-07-21

    The National Energy Technology Laboratory celebrates 100 years of innovative energy technology development. NETL has been a leader in energy technology development. This video takes a look back at the many accomplishments over the past 100 years. These advances benefit the American people, enhance our nation's energy security and protect our natural resources.

  18. PVMapper: Report on the Second Public Opinion Survey

    SciTech Connect (OSTI)

    Juliet Carlisle; Jeffrey Joe; Stephanie Kane; Dave Koehler; David Solan

    2013-06-01

    This report has been developed as an integral part of the PVMapper project, funded by the U.S. Department of Energys Office of Energy Efficiency and Renewable Energys SunShot program. The objective of the SunShot program is to reduce the total costs of solar energy systems. The scope of PVMapper is to develop a geographic information system (GIS) based project planning tool to identify optimal utility-scale solar facility sites. The specific objectives of the project are to 1) develop the software on an open-source platform; 2) integrate the appropriate data sets and GIS layers; 3) include a measure of social risk and public acceptance; 4) enable customization of variable weights; 5) provide a free and accessible platform for software download; and 6) provide a sustainability plan to ensure future relevance of the software. When completed, PVMapper is intended to be used by solar developers, Authorities Having Jurisdiction (AHJs), and other interested parties. This project supports SunShots objective by reducing the non-hardware balance of system costs (soft costs) for utility-scale solar project development. In order to accomplish the third project objective including a measure of social risk and public acceptance within PVMapper the project team has developed a time-series public opinion survey, administered yearly over the course of the three-year project. This report highlights the results and preliminary analyses from the second survey in this series. While the results of this survey are valuable to both PVMapper and future utility-scale solar development, the time-series design is extremely important. The completion of the series enables the extension of the dataset to much richer information. For example, the research team altered this iteration to sharpen the focus on specific topics (those posing potentially higher risks) and target specific locations in the oversample (such as communities near existing facilities). Using similar approaches for each iteration leads to an increasingly greater amount of detail regarding siting risks. The need for this extended dataset to aid in siting utility-scale solar projects is evident, as developers continue to scale back initial plans due to unidentified or incorrectly quantified social risks. It should be noted that this report provides the complete dataset from the survey, encompassing the wide-ranging responses from all of the survey questions. Although the methods used to integrate these data into PVMappers siting algorithms is not the purpose of this report, allusions to integration can be found in the discussions surrounding the design of questions and types of data to be used.

  19. Good Year - Bad Year Financial Planning Workshop handout - April...

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

    unit's financial reserve balance at the end of a year or be used as an input for a TPP assessment. This metric is the most direct measure of BPA's ability to pay Treasury....

  20. Coal operators prepare for a prosperous new year

    SciTech Connect (OSTI)

    Fiscor, S.

    2008-01-15

    Results are given of the Coal Age 2008 annual Forecast Survey of 17 coal mining executives which reinforces that 2008 could be a very good year. Coal operators are planning to invest in new equipment, development and new coal mine start-ups, based on a number of demand- and supply-side fundamentals. 71% of those surveyed thought coal production in 2008 would increase from 2007 levels and US exports are expected to climb due to the weak dollar. If the tax credit on synfuels expires on 31 December 2007 production of coal synfuel will likely cease. Asked about expensive planned purchases, companies answers ranged from $80,000 for an underground scoop to $500 m for a new mine installation. However, most producers admit they will not be able to operate at full capacity. 7 figs.

  1. Please take the 2011 user survey

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

    take the 2011 user survey Please take the 2011 user survey June 6, 2011 by Francesca Verdier You are encouraged to take the 2011 user survey. Your answers are important to us and to our program sponsors in DOE. Subscribe via RSS Subscribe Browse by Date May 2016 April 2016 January 2016 December 2015 November 2015 October 2015 September 2015 August 2015 July 2015 April 2015 March 2015 January 2015 December 2014 November 2014 October 2014 August 2014 June 2014 May 2014 April 2014 March 2014

  2. Visualizing Twenty Years of Applications

    SciTech Connect (OSTI)

    Potel, Mike; Wong, Pak C.

    2014-11-01

    This issue of IEEE Computer Graphics and Applications marks the 20th anniversary of the Applications department as a regular feature of the magazine. We thought it might be interesting to look back at the 20 years of Applications department articles to assess its evolution over that time. By aggregating all twenty years of articles and applying a little statistical and visual analytics, we’ve uncovered some interesting characteristics and trends we thought we’d share to mark this 20 year milestone.

  3. Water resources data, Kentucky. Water year 1991

    SciTech Connect (OSTI)

    McClain, D.L.; Byrd, F.D.; Brown, A.C.

    1991-12-31

    Water resources data for the 1991 water year for Kentucky consist of records of stage, discharge, and water quality of streams and lakes; and water-levels of wells. This report includes daily discharge records for 115 stream-gaging stations. It also includes water-quality data for 38 stations sampled at regular intervals. Also published are 13 daily temperature and 8 specific conductance records, and 85 miscellaneous temperature and specific conductance determinations for the gaging stations. Suspended-sediment data for 12 stations (of which 5 are daily) are also published. Ground-water levels are published for 23 recording and 117 partial sites. Precipitation data at a regular interval is published for 1 site. Additional water data were collected at various sites not involved in the systematic data-collection program and are published as miscellaneous measurement and analyses. These data represent that part of the National Water Data System operated by the US Geological Survey and cooperation State and Federal agencies in Kentucky.

  4. Survey of neutron radiography facilities

    SciTech Connect (OSTI)

    Imel, G.R.; McClellan, G.G.

    1996-08-01

    A directory of neutron radiography facilities around the world was informally compiled about ten years ago under the auspices of the American Society for Testing and Materials (ASTM), Subcommittee E7.05 (Radiology, Neutron). The work lay dormant for a number of years, but was revived in earnest in the fall of 1995. At that time, letters were mailed to all the facilities with available addresses in the original directory, requesting updated information. Additionally, information was gathered at the Second Topical meeting on neutron Radiography Facility System Design and Beam Characterization (November, 1995, Shonan Village, Japan). A second mailing was sent for final confirmation and updates in January, 1996. About 75% of the information in the directory has now been confirmed by the facility management. This paper presents a summary of the information contained in the facility directory. An electronic version of the directory in Wordperfect 6.1, uuencode, or rtf format is available by sending e-mail to the authors at imel{at}anl.gov or imel{at}baobab.cad.cea.fr. A WWW site for the directory is presently under construction.

  5. 2014 Year-in-Review

    Energy Savers [EERE]

    4 Year-in-Review i 2014 YIR May 2015 Year-in-Review: 2014 Energy Infrastructure Events and Expansions Office of Electricity Delivery and Energy Reliability U.S. Department of Energy For Further Information This report was prepared by the Office of Electricity Delivery and Energy Reliability under the direction of Patricia Hoffman, Assistant Secretary, and Thomas Roston, Acting Deputy Assistant Secretary. Specific questions about this report may be directed to John Ostrich, Office of Electricity

  6. PORTSMOUTH 2015 YEAR IN REVIEW

    Energy Savers [EERE]

    PORTSMOUTH 2015 YEAR IN REVIEW At the Portsmouth site this year, it was critical to have alignment among regulatory decisions and agreements, deactivation, shipping, and preliminary work on the on-site waste disposal facility. In 2015, we made significant progress in all of those areas. Our workforce performed admirably in 2015 and we look forward to continuing our momentum in 2016." - Dr. Vincent Adams, Portsmouth Site Director, DOE Portsmouth/Paducah Project Office KEY ACCOMPLISHMENTS 

  7. Survey of Flex Fuel in 2014. CRC Project E-85-3

    SciTech Connect (OSTI)

    Alleman, Teresa L.

    2015-07-27

    ASTM D5798 sets the specifications for Ethanol Flex Fuel, which currently permits between 51 volume percent (vol%) and 83 vol% ethanol. The vapor pressure varies seasonally and geographically and is divided into four distinct classes to ensure year-round driveability. This project is the first survey of Ethanol Flex Fuel since these specification changes were made to Specification D5798.

  8. Residential Energy Consumption Survey (RECS) - Analysis & Projections...

    Gasoline and Diesel Fuel Update (EIA)

    How does EIA estimate energy consumption and end uses in U.S. homes? RECS 2009 - Release date: March 28, 2011 EIA administers the Residential Energy Consumption Survey (RECS) to a ...

  9. Commercial Buildings Energy Consumption Survey (CBECS) - Data...

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

    What is an RSE? The estimates in the Commercial Buildings Energy Consumption Survey (CBECS) are based on data reported by representatives of a statistically-designed subset of the ...

  10. 2008 B20 Survey Results (Presentation)

    SciTech Connect (OSTI)

    Alleman, T. L.; McCormick, R. L.

    2009-02-02

    Describes results of a sample survey of the quality of B20, a biodiesel blend, collected from U.S. public pumps and fleets as part of a joint effort by NREL, the NBB, and engine manufacturers.

  11. Mediation Survey Form | Department of Energy

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

    PDF icon Mediation Survey Form More Documents & Publications Microsoft Word - GC Mediation Evaluation 2-06-09.doc Mediation Brochure FIA-12-0044 - In the Matter of Cynthia Brown...

  12. 2-M Probe Survey | Open Energy Information

    Open Energy Info (EERE)

    Techniques A modified version of the 2 m temperature probe survey was tested at the Salt Wells Geothermal Area in 2005.2 This technique was used to measure temperatures at...

  13. FAQs for Survey Form EIA-782C

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

    ... software, contact the Survey Respondent Service Team at 202-586-9659. Where can I find published data from the EIA-782C? These data are published in the Petroleum Marketing ...

  14. FAQs for Survey Form EIA-821

    Gasoline and Diesel Fuel Update (EIA)

    of your email. Should I report biodiesel on the EIA-821 survey? Report B2, B5, or B20 biodiesel under the primary fuel type with which it was blended and the type of customer...

  15. LOS ALAMOS NATIONAL LABORATORY COMMUNITY LEADERS SURVEY

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

    LOS ALAMOS NATIONAL LABORATORY COMMUNITY LEADERS SURVEY SEPTEMBER 2013 LOS ALAMOS NATIONAL LABORATORY-COMMUNITY LEADERS STUDY SEPTEMBER 2013 PAGE 2 RESEARCH & POLLING, INC. TABLE OF CONTENTS I. INTRODUCTION ....................................................................................................................................................................................................................................................... 3 METHODOLOGY

  16. Commercial Grade Dedication Survey and Training

    Broader source: Energy.gov [DOE]

    This survey was conducted to obtain input from EM contractors on processes used to perform Commercial Grade Item (CGI) dedication.  The intended use of this information is to form the basis for...

  17. 2012 Hanford Climate Survey Report - ATL Report

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

    ATL Report Prepared by EurekaFacts LLC 1 Table of Contents Introduction.................................................................................................................................................... 2 Safety Culture and Climate Focus Areas and Factors .................................................................................. 3 Interpreting the Survey Results Presented in this Report ............................................................................. 4 Key

  18. 2012 Hanford Climate Survey Report - CHPRC Report

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

    CHPRC Report Prepared by EurekaFacts LLC 1 Table of Contents Introduction.................................................................................................................................................... 2 Safety Culture and Climate Focus Areas and Factors .................................................................................. 3 Interpreting the Survey Results Presented in this Report ............................................................................. 4 Key

  19. 2012 Hanford Climate Survey Report - MSA Report

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

    MSA Report Prepared by EurekaFacts LLC 1 Table of Contents Introduction.................................................................................................................................................... 2 Safety Culture and Climate Focus Areas and Factors .................................................................................. 3 Interpreting the Survey Results Presented in this Report ............................................................................. 4 Key

  20. 2012 Hanford Climate Survey Report - WCH Report

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

    WCH Report Prepared by EurekaFacts LLC 1 Table of Contents Introduction.................................................................................................................................................... 2 Safety Culture and Climate Focus Areas and Factors .................................................................................. 3 Interpreting the Survey Results Presented in this Report ............................................................................. 4 Key

  1. 2012 Hanford Climate Survey Report - WRPS Report

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

    WRPS Report Prepared by EurekaFacts LLC 1 Table of Contents Introduction.................................................................................................................................................... 2 Safety Culture and Climate Focus Areas and Factors .................................................................................. 3 Interpreting the Survey Results Presented in this Report ............................................................................. 4 Key

  2. 1999 Commercial Buildings Characteristics--Year Constructed

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

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

  3. Survey Says: Workplace Charging is Growing in Popularity and Impact |

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

    Department of Energy Survey Says: Workplace Charging is Growing in Popularity and Impact Survey Says: Workplace Charging is Growing in Popularity and Impact November 18, 2014 - 3:54pm Addthis Survey Says: Workplace Charging is Growing in Popularity and Impact Survey Says: Workplace Charging is Growing in Popularity and Impact Survey Says: Workplace Charging is Growing in Popularity and Impact Survey Says: Workplace Charging is Growing in Popularity and Impact Sarah Olexsak Workplace Charging

  4. Department of Energy Earned Value Management Survey Results | Department of

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

    Energy Department of Energy Earned Value Management Survey Results Department of Energy Earned Value Management Survey Results Humphreys & Associates, Inc. (H&A) conducted a survey of Department of Energy (DOE) Earned Value Management (EVM) and Project Management (PM) stakeholders. Two versions of the survey were distributed: DOE Federal Staff Survey (inclusive of DOE employees and contracted staff support) and the Capital Asset Project Contractors Survey (inclusive of DOE prime

  5. A B

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

    Consumption Survey: Consumption of Energy, 1985 This report, the first of a series based on the 1985 MECS, provides a comprehensive description of en ergy consumption by...

  6. Directory and survey of particle physicists

    SciTech Connect (OSTI)

    1997-04-01

    In order to develop a clearer understanding of the demographics of the U.S. particle physics workforce, the US Department of Energy, the National Science Foundation, and the Division of Particles and Fields of the American Physical Society commissioned a survey and census of particle physicists employed in the United States. This survey and census were conducted in 1995, with an update of the census in April 1997. The agencies and the scientific community were represented for the 1995 efforts by Dr. Robert Woods (DOE), Dr. William Chinowsky (NSF), and Prof. Uriel Nauenberg (DPF); for the current census, by Dr. Robert Diebold (DOE), Dr. Marvin Goldberg (NSF), and Dr. Patricia Rankin (NSF). The survey/census were carried out with the assistance of the Particle Data Group at Lawrence Berkeley National Laboratory. In order to obtain an accurate study of the current workforce and of future needs, we requested that all HEP physicists fill out and return the 1995 survey. There were 2494 respondents. For the 1997 census, a representative of each university and laboratory was asked to provide information on all persons at that institution who spend at least 50% of their research time on particle physics. In some cases this includes accelerator physicists. The total number of physicists in the 1997 census is 3492 from 155 institutions in the United States. The full survey questionnaires are shown. The primary one was addressed to individual particle physicists, while the secondary one was addressed to principal investigators and sought information about people leaving the field. There are many possible tables and plots from this survey, with a variety of correlations. Those chosen are representative of a cross-section of the demographic results. It should be emphasized that this survey was a snapshot in time, and does not have the same capabilities as would a series of surveys that are periodic in time. Care should be taken in interpreting the results of the tables and plots.

  7. Draft dry year tools (generation/planning)

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

    BPA White Book Dry Year Tools Firstgov Dry Year Tools November 9, 2006 - Final Dry Year Guide: The Final Dry Year Guide (PDF, 5 pages, 44 kb) and Figure 1 - Dry Year Strategy (PDF,...

  8. The Sloan Digital Sky Survey Monitor Telescope Pipeline (Journal...

    Office of Scientific and Technical Information (OSTI)

    The Sloan Digital Sky Survey Monitor Telescope Pipeline Citation Details In-Document Search Title: The Sloan Digital Sky Survey Monitor Telescope Pipeline You are accessing a...

  9. Commercial Buildings Energy Consumption Survey (CBECS) - U.S...

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

    The Commercial Buildings Energy Consumption Survey (CBECS) is a national-level sample survey of commercial buildings and their energy suppliers conducted quadrennially (previously ...

  10. Hubei Electric Power Survey Design Institute | Open Energy Information

    Open Energy Info (EERE)

    Survey Design Institute Jump to: navigation, search Name: Hubei Electric Power Survey&Design Institute Place: Hubei Province, China Product: Wuhan-based power project design and...

  11. Airborne Electromagnetic Survey At Chena Geothermal Area (Kolker...

    Open Energy Info (EERE)

    Phase I) Notes Fugro, Inc. performed an airborne geophysical survey using the DIGHEM (Digital Helicopter ElectroMagnetics) aircraft over a 937 km2 survey grid. An coplanar...

  12. Category:Near Infrared Surveys | Open Energy Information

    Open Energy Info (EERE)

    Infrared Surveys Retrieved from "http:en.openei.orgwindex.php?titleCategory:NearInfraredSurveys&oldid794164" Feedback Contact needs updating Image needs updating...

  13. Idaho Geological Survey and University of Idaho Explore for Geothermal...

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

    Idaho Geological Survey and University of Idaho Explore for Geothermal Energy Idaho Geological Survey and University of Idaho Explore for Geothermal Energy January 11, 2013 -...

  14. Headquarters Facilities Master Security Plan - Chapter 7, Surveys...

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

    First, survey team members assist HQ program elements in establishing, maintaining, and deactivating their LAs, VTRs, and TLAs. Second, the survey team conducts an annual ...

  15. Ground Gravity Survey At Clear Lake Area (Skokan, 1993) | Open...

    Open Energy Info (EERE)

    Ground Gravity Survey At Clear Lake Area (Skokan, 1993) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Clear Lake Area...

  16. Ground Gravity Survey At Coso Geothermal Area (1980) | Open Energy...

    Open Energy Info (EERE)

    Ground Gravity Survey At Coso Geothermal Area (1980) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Coso Geothermal...

  17. Ground Gravity Survey At Crump's Hot Springs Area (DOE GTP) ...

    Open Energy Info (EERE)

    Ground Gravity Survey At Crump's Hot Springs Area (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Crump's Hot...

  18. Category:Airborne Gravity Survey | Open Energy Information

    Open Energy Info (EERE)

    Category Edit History Category:Airborne Gravity Survey Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Geothermalpower.jpg Looking for the Airborne Gravity Survey...

  19. Ground Gravity Survey At North Brawley Geothermal Area (Biehler...

    Open Energy Info (EERE)

    Ground Gravity Survey At North Brawley Geothermal Area (Biehler, 1964) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At...

  20. Ground Gravity Survey At Cove Fort Area - Vapor (Warpinski, Et...

    Open Energy Info (EERE)

    Ground Gravity Survey At Cove Fort Area - Vapor (Warpinski, Et Al., 2002) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey...

  1. Ground Gravity Survey At Kilauea East Rift Geothermal Area (FURUMOTO...

    Open Energy Info (EERE)

    Ground Gravity Survey At Kilauea East Rift Geothermal Area (FURUMOTO, 1976) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey...

  2. Ground Gravity Survey At Snake River Plain Region (DOE GTP) ...

    Open Energy Info (EERE)

    Ground Gravity Survey At Snake River Plain Region (DOE GTP) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey At Snake River...

  3. Ground Gravity Survey At Kilauea East Rift Geothermal Area (Thomas...

    Open Energy Info (EERE)

    Ground Gravity Survey At Kilauea East Rift Geothermal Area (Thomas, 1986) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Ground Gravity Survey...

  4. Title Preactivity Survey Report for Five Tonopah Test Range Explosive...

    National Nuclear Security Administration (NNSA)

    Preactivity Survey Report for Five Tonopah Test Range Explosive Ordnance Disposal Sites ... PREACTIVITY AND RECLAMATION SURVEY REPORTS FOR FIVE TONOPAH TEST RANGE EXPLOSIVE ORDNANCE ...

  5. DOE Initiative to Improve PM and EVM, Integration Survey Results...

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

    Initiative to Improve PM and EVM, Integration Survey Results DOE Initiative to Improve PM and EVM, Integration Survey Results DOE Initiative to Improve PM and EVM, Integration ...

  6. Refraction Survey At Kilauea East Rift Geothermal Area (Broyles...

    Open Energy Info (EERE)

    East Rift Geothermal Area Exploration Technique Refraction Survey Activity Date 1976 - 1977 Usefulness not indicated DOE-funding Unknown Exploration Basis This survey was done as...

  7. Literature Survey of Crude Oil Properties Relevant to Handling...

    Office of Scientific and Technical Information (OSTI)

    Literature Survey of Crude Oil Properties Relevant to Handling and Fire Safety in Transport. Citation Details In-Document Search Title: Literature Survey of Crude Oil Properties ...

  8. Geodetic Survey At Yellowstone Region (Hellman & Ramsey, 2004...

    Open Energy Info (EERE)

    Geodetic Survey At Yellowstone Region (Hellman & Ramsey, 2004) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geodetic Survey At Yellowstone...

  9. Confirmatory Survey Report for the Quehanna Decommissioning Project, Karthaus, PA

    SciTech Connect (OSTI)

    W. C. Adams

    2007-10-30

    The survey activities consisted of visual inspections and radiological surveys including beta and gamma surface scans and surface beta activity measurements.

  10. Geodetic Survey At Central Nevada Seismic Zone Region (Blewitt...

    Open Energy Info (EERE)

    Geodetic Survey At Central Nevada Seismic Zone Region (Blewitt Et Al, 2005) Jump to: navigation, search GEOTHERMAL ENERGYGeothermal Home Exploration Activity: Geodetic Survey At...

  11. Oregon National Register and Survey Program Webpage | Open Energy...

    Open Energy Info (EERE)

    National Register and Survey Program Webpage Jump to: navigation, search OpenEI Reference LibraryAdd to library Web Site: Oregon National Register and Survey Program Webpage...

  12. Direct-Current Resistivity Survey At Kilauea East Rift Geothermal...

    Open Energy Info (EERE)

    the findings from the other resistivity surveys conducted in the area. References James Kauahikaua, Douglas Klein (1978) Results of Electric Survey in the Area of Hawaii...

  13. SU-E-T-200: IBA ProteusOne Compact Proton Therapy System Radiation Survey Results

    SciTech Connect (OSTI)

    Zhang, J; Syh, J; Syh, J; White, M; Patel, B; Song, X; Wu, H

    2014-06-01

    Purpose: This study summarizes the results of an initial radiation survey of the Willis-Knighton Cancer Center in Shreveport, Louisiana. The facility houses an IBA ProteusOne compact single room proton therapy unit coupled with a C230 cyclotron that operates at a maximum energy of 230 MeV. Methods: A calibrated survey meter was used for the photon measurements to obtain reliable results. A neutron detector was used as the measuring instrument for neutrons. The locations of the survey and measurements were planned carefully in order to get a proper evaluation of the facility shielding configuration. The walls, ceiling, vault entrance, and the adjacent environment were each surveyed with suitable measurement instruments. A total of 22 locations were chosen for radiation survey. Dose equivalent values were calculated for both the photon and the neutron radiation using measured data. Results: All measured dose values are presented in millisievert per year. The highest dose measured at the vault entrance is 0.34 mSv/year. A dedicated shielding door was not present at the time of the measurement. The vault entrance area is considered as a controlled area. The shielding design goals are not to exceed 5 mSv/year for the controlled area and 1 mSv/year the uncontrolled area. The total combined neutron and photon dose equivalent values were found to be compliant with the Louisiana Department of Environmental Quality radiation protection regulatory codes. Conclusion: In our efforts to evaluate the radiation levels at the Willis-Knighton Cancer Center proton treatment facility, we have found that all the measured values of the radiation shielding are below the critical radiation limits per year. Since the total dose measured at the vault entrance is below the shielding design goal, a shielding door is not required at this proton treatment vault.

  14. ECOLOGICAL MONITORING AND COMPLIANCE PROGRAM CALENDAR YEAR 2005 REPORT

    SciTech Connect (OSTI)

    BECHTEL NEVADA ECOLOGICAL SERVICES

    2006-03-01

    The Ecological Monitoring and Compliance program (EMAC), funded through the U.S. Department of Energy, National Nuclear Security Administration Nevada Site Office (NNSA/NSO), monitors the ecosystem of the Nevada Test Site (NTS) and ensures compliance with laws and regulations pertaining to NTS biota. This report summarizes the program’s activities conducted by Bechtel Nevada (BN) during the Calendar Year 2005. Program activities included: (1) biological surveys at proposed construction sites, (2) desert tortoise compliance, (3) ecosystem mapping and data management, (4) sensitive and protected/regulated species and unique habitat monitoring, (5) habitat restoration monitoring, and (6) biological monitoring at the Non-Proliferation Test and Evaluation Complex (NPTEC).

  15. LNG to the year 2000

    SciTech Connect (OSTI)

    Davenport, S.T.

    1984-04-01

    By 2000, about 190 MM metric-tpy of LNG will be moving in world trade, with Asia-Pacific as the dominant producer By the year 2000, approximately 190 million metric tons per year of LNG will be moving in worldwide trade. Production of LNG will be spread throughout most of the world, with Asia-Pacific as the dominant producer. LNG will be delivered only to the heavily industrialized areas of North America, Europe and Asia-Pacific. The success of any LNG project will be dependent on its individual economics, market needs, financial planning, and governmental permit processes. We hope industry will be able to put together the LNG projects required to meet the quanitities of production forecast here for the year 2000.

  16. Two Year Difference | Jefferson Lab

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

    Two Year Difference Two Year Difference May 19, 2014 On May 19, 2012, we held an Open House; on Saturday, May 17, 2014, we held an Open House; it's a habit. And what a day we had on Saturday! The weather was perfect. The extent to which we are able to open the lab is a major surprise for many visitors. They arrive with the expectation that maybe we open one building with displays. Instead, they find themselves getting into the accelerator, the Central Helium Liquefier, and ALL the experimental

  17. Residential energy consumption survey: consumption and expenditures, April 1982-March 1983. Part 1, national data

    SciTech Connect (OSTI)

    Thompson, W.

    1984-11-01

    This report presents data on the US consumption and expenditures for residential use of natural gas, electricity, fuel oil or kerosene, and liquefied petroleum gas (LPG) from April 1982 through March 1983. Data on the consumption of wood for this period are also presented. The consumption and expenditures data are based on actual household bills, obtained, with the permission of the household. from the companies supplying energy to the household. Data on wood consumption are based on respondent recall of the amount of wood burned during the winter and are subject to memory errors and other reporting errors described in the report. These data come from the 1982 Residential Energy Consumption Survey (RECS), the fifth in a series of comparable surveys beginning in 1978. The 1982 survey is the first survey to include, as part of its sample, a portion of the same households interviewed in the 1980 survey. A separate report is planned to report these longitudinal data. This summary gives the highlights of a comparison of the findings for the 5 years of RECS data. The data cover all types of housing units in the 50 states and the District of Columbia including single-family units, apartments, and mobile homes. For households with indirect energy costs, such as costs that are included in the rent or paid by third parties, the sonsumption and expenditures data are estimated and included in the figures reported here. The average household consumption of natural gas, electricity, fuel oil or kerosene, and LPG dropped in 1982 from the previous year, hitting a 5-year low since the first Residential Energy Consumption Survey (RECS) was conducted in 1978. The average consumption was 103 (+-3) million Btu per household in 1982, down from 114 (+-) million Btu in 1981. The weather was the main contributing factor. 8 figures, 46 tables.

  18. Calendar Year Reports | Department of Energy

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

    Calendar Year Reports Calendar Year Reports Audit, Inspection and Other Reports The majority of Office of Inspector General reports are public. Certain reports, however, are not public as they contain information that is protected by the Freedom of Information Act (FOIA) and Privacy Act. The provisions of these acts determine the availability of these reports. Calendar Year 2016 Calendar Year 2015 Calendar Year 2014 Calendar Year 2013 Calendar Year 2012 Calendar Year 2011 Calendar Year 2010

  19. FEMP Year in Review 2009

    SciTech Connect (OSTI)

    2009-12-01

    In 2009, the Federal Energy Management Program (FEMP)undertook an ambitious reorganization of its program structure to be more responsive to the needs of its Federal agency customers. In this Year in Review 2009, you will learn more about FEMP achievements under its new program areas.

  20. Nuclear Materials Focus Area Fiscal Year 2002 Mid Year Review

    SciTech Connect (OSTI)

    Thiel, Elizabeth Chilcote

    2002-05-01

    The Nuclear Materials Focus Area (NMFA) held its annual mid-year review on February 12 and 14, 2002, in Santa Fe, New Mexico. The purpose of this review was to examine both the technical aspects and the programmatic aspects of its technology development program. The focus area activities were reviewed by a panel consisting of personnel representing the end users of the technologies, and technical experts in nuclear materials. This year's review was somewhat different than in the past, as the stress was on how well the various projects being managed through the NMFA aligned with the two thrust areas and nine key goals and priorities recently issued by the Deputy Assistant Secretary for DOE's Office of Environmental Management (EM).

  1. Nuclear Materials Focus Area Fiscal Year 2002 Mid Year Review

    SciTech Connect (OSTI)

    Thiel, E.C.; Fuhrman, P.W.

    2002-05-30

    The Nuclear Materials Focus Area (NMFA) held its annual mid-year review on February 12 and 14, 2002, in Santa Fe, New Mexico. The purpose of this review was to examine both the technical aspects and the programmatic aspects of its technology development program. The focus area activities were reviewed by a panel consisting of personnel representing the end users of the technologies, and technical experts in nuclear materials. This year's review was somewhat different than in the past, as the stress was on how well the various projects being managed through the NMFA aligned with the two thrust areas and nine key goals and priorities recently issued by the Deputy Assistant Secretary for DOE's Office of Environmental Management (EM).

  2. Geothermal industry employment: Survey results & analysis

    SciTech Connect (OSTI)

    Not Available

    2005-09-01

    The Geothermal Energy Association (GEA) is ofteh asked about the socioeconomic and employment impact of the industry. Since available literature dealing with employment involved in the geothermal sector appeared relatively outdated, unduly focused on certain activities of the industry (e.g. operation and maintenance of geothermal power plants) or poorly reliable, GEA, in consultation with the DOE, decided to conduct a new employment survey to provide better answers to these questions. The main objective of this survey is to assess and characterize the current workforce involved in geothermal activities in the US. Several initiatives have therefore been undertaken to reach as many organizations involved in geothermal activities as possible and assess their current workforce. The first section of this document describes the methodology used to contact the companies involved in the geothermal sector. The second section presents the survey results and analyzes them. This analysis includes two major parts. The first part analyzes the survey responses, presents employment numbers that were captured and describes the major characteristics of the industry that have been identified. The second part of the analysis estimates the number of workers involved in companies that are active in the geothermal business but did not respond to the survey or could not be reached. Preliminary conclusions and the study limits and restrictions are then presented. The third section addresses the potential employment impact related to manufacturing and construction of new geothermal power facilities. Indirect and induced economic impacts related with such investment are also investigated.

  3. Manufacturing fuel-switching capability, 1988

    SciTech Connect (OSTI)

    Not Available

    1991-09-01

    Historically, about one-third of all energy consumed in the United States has been used by manufacturers. About one-quarter of manufacturing energy is used as feedstocks and raw material inputs that are converted into nonenergy products; the remainder is used for its energy content. During 1988, the most recent year for which data are available, manufacturers consumed 15.5 quadrillion British thermal units (Btu) of energy to produce heat and power and to generate electricity. The manufacturing sector also has widespread capabilities to switch from one fuel to another for either economic or emergency reasons. There are numerous ways to define fuel switching. For the purposes of the Manufacturing Energy Consumption Survey (MECS), fuel switching is defined as the capability to substitute one energy source for another within 30 days with no significant modifications to the fuel-consuming equipment, while keeping production constant. Fuel-switching capability allows manufacturers substantial flexibility in choosing their mix of energy sources. The consumption of a given energy source can be maximized if all possible switching into that energy source takes place. The estimates in this report are based on data collected on the 1988 Manufacturing Energy Consumption Survey (MECS), Forms 846 (A through C). The EIA conducts this national sample survey of manufacturing energy consumption on a triennial basis. The MECS is the only comprehensive source of national-level data on energy-related information for the manufacturing industries. The MECS was first conducted in 1986 to collect data for 1985. This report presents information on the fuel-switching capabilities of manufacturers in 1988. This report is the second of a series based on the 1988 MECS. 8 figs., 31 tabs.

  4. 2001 FEMP Customer Survey Report (Appendices) | Department of Energy

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

    Appendices) 2001 FEMP Customer Survey Report (Appendices) Appendix A: Survey Instrument Appendix B: Detailed Responses Appendix C: Adoption and Diffusion of Innovations PDF icon Appendices More Documents & Publications 2001 FEMP Customer Survey Report (Summary Report) 2001 FEMP Customer Survey Report (Main Report

  5. Industry survey for horizontal wells. Final report

    SciTech Connect (OSTI)

    Wilson, D.D.; Kaback, D.S. [CDM Federal Programs Corp., Denver, CO (United States); Denhan, M.E. [Westinghouse Savannah River Co., Aiken, SC (United States); Watkins, D. [CDM Federal Programs Corp., Aiken, SC (United States)

    1993-07-01

    An international survey of horizontal environmental wells was performed during May and June of 1993. The purpose of the survey was to provide the environmental industry with an inventory of horizontal environmental wells and information pertaining to the extent of the use of horizontal environmental wells, the variety of horizontal environmental well applications, the types of geologic and hydrogeologic conditions within which horizontal environmental wells have been installed, and the companies that perform horizontal environmental well installations. Other information, such as the cost of horizontal environmental well installations and the results of tests performed on the wells, is not complete but is provided as general information with the caveat that the information should not be used to compare drilling companies. The result of the survey is a catalogue of horizontal environmental wells that are categorized by the objective or use of the wells, the vertical depth of the wells, and the drilling company contracted to install the wells.

  6. A National Radiation Oncology Medical Student Clerkship Survey: Didactic Curricular Components Increase Confidence in Clinical Competency

    SciTech Connect (OSTI)

    Jagadeesan, Vikrant S.; Raleigh, David R.; Koshy, Matthew; Howard, Andrew R.; Chmura, Steven J.; Golden, Daniel W.

    2014-01-01

    Purpose: Students applying to radiation oncology residency programs complete 1 or more radiation oncology clerkships. This study assesses student experiences and perspectives during radiation oncology clerkships. The impact of didactic components and number of clerkship experiences in relation to confidence in clinical competency and preparation to function as a first-year radiation oncology resident are evaluated. Methods and Materials: An anonymous, Internet-based survey was sent via direct e-mail to all applicants to a single radiation oncology residency program during the 2012-2013 academic year. The survey was composed of 3 main sections including questions regarding baseline demographic information and prior radiation oncology experience, rotation experiences, and ideal clerkship curriculum content. Results: The survey response rate was 37% (70 of 188). Respondents reported 191 unique clerkship experiences. Of the respondents, 27% (19 of 70) completed at least 1 clerkship with a didactic component geared towards their level of training. Completing a clerkship with a didactic component was significantly associated with a respondent's confidence to function as a first-year radiation oncology resident (Wilcoxon ranksum P=.03). However, the total number of clerkships completed did not correlate with confidence to pursue radiation oncology as a specialty (Spearman ? P=.48) or confidence to function as a first year resident (Spearman ? P=.43). Conclusions: Based on responses to this survey, rotating students perceive that the majority of radiation oncology clerkships do not have formal didactic curricula. Survey respondents who completed a clerkship with a didactic curriculum reported feeling more prepared to function as a radiation oncology resident. However, completing an increasing number of clerkships does not appear to improve confidence in the decision to pursue radiation oncology as a career or to function as a radiation oncology resident. These results support further development of structured didactic curricula for the radiation oncology clerkship.

  7. Fiscal Year 2012 Revegetation Assessment

    SciTech Connect (OSTI)

    Jenifer Nordstrom

    2012-11-01

    This report summarizes the Fiscal Year 2012 Revegetation Assessment by Battelle Energy Alliance, LLC. This assessment was conducted to supplement documentation related to the Storm Water Pollution Prevention Plan for Construction Activities and to ensure that disturbed vegetation and soil at various locations are being restored. This report provides the following information for each site being monitored by the Idaho National Laboratory Environmental Support and Services: • Summary of each site • Assessment of vegetation status and site stabilization at each location • Actions and Resolutions for each site. Ten disturbed sites were evaluated for this assessment. Six have achieved final stabilization. The remaining four sites not meeting the criteria for final stabilization will be evaluated again in the next fiscal year.

  8. Fiscal Year 2013 Revegetation Assessment

    SciTech Connect (OSTI)

    Jenifer Nordstrom

    2013-11-01

    This report summarizes the Fiscal Year 2013 Revegetation Assessment by Battelle Energy Alliance, LLC. This assessment was conducted to supplement documentation related to the Storm Water Pollution Prevention Plan for Construction Activities and to ensure that disturbed vegetation and soil at various locations are being restored. This report provides the following information for each site being monitored by the Idaho National Laboratory Environmental Support and Services: Summary of each site Assessment of vegetation status and site stabilization at each location Actions and Resolutions for each site. Six disturbed sites were evaluated for this assessment. One has achieved final stabilization. The remaining five sites not meeting the criteria for final stabilization will be evaluated again in the next fiscal year.

  9. Utility FGD Survey, January--December 1989

    SciTech Connect (OSTI)

    Hance, S.L.; McKibben, R.S.; Jones, F.M. )

    1992-03-01

    The Utility flue gas desulfurization (FGD) Survey report, which is generated by a computerized data base management system, represents a survey of operational and planned domestic utility flue gas desulfurization (FGD) systems. It summarizes information contributed by the utility industry, system and equipment suppliers, system designers, research organizations, and regulatory agencies. The data cover system design, fuel characteristics, operating history, and actual system performance. Also included is a unit-by-unit discussion of problems and solutions associated with the boilers, scrubbers, and FGD systems. The development status (operational, under construction, or in the planning stages), system supplier, process, waste disposal practice, and regulatory class are tabulated alphabetically by utility company.

  10. 2014-Federal Viewpoint Survey Reports | Department of Energy

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

    4-Federal Viewpoint Survey Reports 2014-Federal Viewpoint Survey Reports The following highlight report focuses on the Department of Energy's areas of strengths and challenges, identifies areas of progress and opportunities for improvement. The Departments 2014 results are compared with the 2013 Government wide results. PDF icon 2014 Federal Employee Viewpoint Survey Results: Annual Employee Survey (AES) Report PDF icon 2014 Federal Employee Viewpoint Survey Results: Agency Management Report

  11. Solar Survey of PV System Owners: San Diego

    Broader source: Energy.gov [DOE]

    The purpose of the survey was to understand the motivation, challenges and benefits perceived by individuals who decided to install solar systems in the City of San Diego. Approximately 2000 surveys were sent, and 641 surveys were completed. The primary response was from the residential sector. Individuals had the option to reply electronically, using Survey Monkey, or to complete a paper survey. All responses were combined and checked to ensure that there were no duplicates.

  12. Sloan Digital Sky Survey (SDSS): Data Release 1

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

    The Sloan Digital Sky Survey (SDSS) is one of the most ambitious and influential surveys in the history of astronomy.Over eight years of operations (SDSS-I, 2000-2005; SDSS-II, 2005-2008), it obtained deep, multi-color images covering more than a quarter of the sky and created 3-dimensional maps containing more than 930,000 galaxies and more than 120,000 quasars. The SDSS used a dedicated 2.5-meter telescope at Apache Point Observatory, New Mexico, equipped with two powerful special-purpose instruments. SDSS data have supported fundamental work across an extraordinary range of astronomical disciplines, including the properties of galaxies, the evolution of quasars, the structure and stellar populations of the Milky Way, the dwarf galaxy companions of the Milky Way and M31, asteroids and other small bodies in the solar system, and the large scale structure and matter and energy contents of the universe. (Taken from home page of www.sdss.org). DR1 was the first major data release, providing images, imaging catalogs, spectra, and redshifts for download.

  13. Sloan Digital Sky Survey (SDSS): Data Release 3

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

    The Sloan Digital Sky Survey (SDSS) is one of the most ambitious and influential surveys in the history of astronomy.Over eight years of operations (SDSS-I, 2000-2005; SDSS-II, 2005-2008), it obtained deep, multi-color images covering more than a quarter of the sky and created 3-dimensional maps containing more than 930,000 galaxies and more than 120,000 quasars. The SDSS used a dedicated 2.5-meter telescope at Apache Point Observatory, New Mexico, equipped with two powerful special-purpose instruments. SDSS data have supported fundamental work across an extraordinary range of astronomical disciplines, including the properties of galaxies, the evolution of quasars, the structure and stellar populations of the Milky Way, the dwarf galaxy companions of the Milky Way and M31, asteroids and other small bodies in the solar system, and the large scale structure and matter and energy contents of the universe. (Taken from home page of www.sdss.org). DR3 provides provides images, imaging catalogs, spectra, and redshifts for download.

  14. Sloan Digital Sky Survey (SDSS): Data Release 4

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

    The Sloan Digital Sky Survey (SDSS) is one of the most ambitious and influential surveys in the history of astronomy.Over eight years of operations (SDSS-I, 2000-2005; SDSS-II, 2005-2008), it obtained deep, multi-color images covering more than a quarter of the sky and created 3-dimensional maps containing more than 930,000 galaxies and more than 120,000 quasars. The SDSS used a dedicated 2.5-meter telescope at Apache Point Observatory, New Mexico, equipped with two powerful special-purpose instruments. SDSS data have supported fundamental work across an extraordinary range of astronomical disciplines, including the properties of galaxies, the evolution of quasars, the structure and stellar populations of the Milky Way, the dwarf galaxy companions of the Milky Way and M31, asteroids and other small bodies in the solar system, and the large scale structure and matter and energy contents of the universe. (Taken from home page of www.sdss.org). DR4 provides provides images, imaging catalogs, spectra, and redshifts for download.

  15. Sloan Digital Sky Survey (SDSS): Data Release 2

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

    The Sloan Digital Sky Survey (SDSS) is one of the most ambitious and influential surveys in the history of astronomy.Over eight years of operations (SDSS-I, 2000-2005; SDSS-II, 2005-2008), it obtained deep, multi-color images covering more than a quarter of the sky and created 3-dimensional maps containing more than 930,000 galaxies and more than 120,000 quasars. The SDSS used a dedicated 2.5-meter telescope at Apache Point Observatory, New Mexico, equipped with two powerful special-purpose instruments. SDSS data have supported fundamental work across an extraordinary range of astronomical disciplines, including the properties of galaxies, the evolution of quasars, the structure and stellar populations of the Milky Way, the dwarf galaxy companions of the Milky Way and M31, asteroids and other small bodies in the solar system, and the large scale structure and matter and energy contents of the universe. (Taken from home page of www.sdss.org). DR2 provides provides images, imaging catalogs, spectra, and redshifts for download.

  16. Sloan Digital Sky Survey (SDSS): Data Release 5

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

    The Sloan Digital Sky Survey (SDSS) is one of the most ambitious and influential surveys in the history of astronomy.Over eight years of operations (SDSS-I, 2000-2005; SDSS-II, 2005-2008), it obtained deep, multi-color images covering more than a quarter of the sky and created 3-dimensional maps containing more than 930,000 galaxies and more than 120,000 quasars. The SDSS used a dedicated 2.5-meter telescope at Apache Point Observatory, New Mexico, equipped with two powerful special-purpose instruments. SDSS data have supported fundamental work across an extraordinary range of astronomical disciplines, including the properties of galaxies, the evolution of quasars, the structure and stellar populations of the Milky Way, the dwarf galaxy companions of the Milky Way and M31, asteroids and other small bodies in the solar system, and the large scale structure and matter and energy contents of the universe. (Taken from home page of www.sdss.org). DR5 provides provides images, imaging catalogs, spectra, and redshifts for download.

  17. Transferring 2001 National Household Travel Survey

    SciTech Connect (OSTI)

    Hu, Patricia S; Reuscher, Tim; Schmoyer, Richard L; Chin, Shih-Miao

    2007-05-01

    Policy makers rely on transportation statistics, including data on personal travel behavior, to formulate strategic transportation policies, and to improve the safety and efficiency of the U.S. transportation system. Data on personal travel trends are needed to examine the reliability, efficiency, capacity, and flexibility of the Nation's transportation system to meet current demands and to accommodate future demand. These data are also needed to assess the feasibility and efficiency of alternative congestion-mitigating technologies (e.g., high-speed rail, magnetically levitated trains, and intelligent vehicle and highway systems); to evaluate the merits of alternative transportation investment programs; and to assess the energy-use and air-quality impacts of various policies. To address these data needs, the U.S. Department of Transportation (USDOT) initiated an effort in 1969 to collect detailed data on personal travel. The 1969 survey was the first Nationwide Personal Transportation Survey (NPTS). The survey was conducted again in 1977, 1983, 1990, 1995, and 2001. Data on daily travel were collected in 1969, 1977, 1983, 1990 and 1995. In 2001, the survey was renamed the National Household Travel Survey (NHTS) and it collected both daily and long-distance trips. The 2001 survey was sponsored by three USDOT agencies: Federal Highway Administration (FHWA), Bureau of Transportation Statistics (BTS), and National Highway Traffic Safety Administration (NHTSA). The primary objective of the survey was to collect trip-based data on the nature and characteristics of personal travel so that the relationships between the characteristics of personal travel and the demographics of the traveler can be established. Commercial and institutional travel were not part of the survey. Due to the survey's design, data in the NHTS survey series were not recommended for estimating travel statistics for categories smaller than the combination of Census division (e.g., New England, Middle Atlantic, and Pacific), MSA size, and the availability of rail. Extrapolating NHTS data within small geographic areas could risk developing and subsequently using unreliable estimates. For example, if a planning agency in City X of State Y estimates travel rates and other travel characteristics based on survey data collected from NHTS sample households that were located in City X of State Y, then the agency could risk developing and using unreliable estimates for their planning process. Typically, this limitation significantly increases as the size of an area decreases. That said, the NHTS contains a wealth of information that could allow statistical inferences about small geographic areas, with a pre-determined level of statistical certainty. The question then becomes whether a method can be developed that integrates the NHTS data and other data to estimate key travel characteristics for small geographic areas such as Census tract and transportation analysis zone, and whether this method can outperform other, competing methods.

  18. Twenty Years of Clean Energy

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

    Twenty Years of Clean Energy For more information contact: George Douglas (303) 275-4096 e-mail: george_douglas@nrel.gov Golden, Colo., July 3, 1997--A doctor stores a life-saving vaccine in a solar-powered refrigerator in a remote Brazilian village, hundreds of miles from the nearest power line. Turbines in California harness the power of the wind to produce economically competitive electricity without producing pollution. Instead of fueling a forest fire, tinder-dry fallen timber littering the

  19. Fiscal Year 2010 Revegetation Assessment

    SciTech Connect (OSTI)

    Jenifer Nordstrom; Mike Lewis

    2010-11-01

    This report summarizes the Fiscal Year 2010 Revegetation Assessment by Battelle Energy Alliance, LLC. This assessment was conducted to supplement documentation related to the Storm Water Pollution Prevention Plan for Construction Activities and to ensure that disturbed vegetation and soil at various locations are being restored. This report provides the following information for each site being monitored by the Idaho National Laboratory Environmental Support and Services: • Summary of each site • Assessment of vegetation status and site stabilization at each location • Recommendation(s) for each site.

  20. Fiscal Year 2009 Revegetation Assessment

    SciTech Connect (OSTI)

    Michael Lewis

    2009-10-01

    This report summarizes the Fiscal Year 2009 Revegetation Assessment by Battelle Energy Alliance, LLC. This assessment was conducted to supplement documentation related to the Storm Water Pollution Prevention Plan for Construction Activities and to ensure that disturbed vegetation and soil at various locations are being restored. This report provides the following information for each site being monitored by the Idaho National Laboratory Environmental Support and Services: Summary of each site Assessment of vegetation status and site stabilization at each location Recommendation(s) for each site.