Sample records for b5 census region

  1. Hanford Site Regional Population - 2010 Census

    SciTech Connect (OSTI)

    Hamilton, Erin L.; Snyder, Sandra F.

    2011-08-12T23:59:59.000Z

    The U.S. Department of Energy conducts radiological operations in south-central Washington State. Population dose estimates must be performed to provide a measure of the impact from site radiological releases. Results of the U.S. 2010 Census were used to determine counts and distributions for the residential population located within 50-miles of several operating areas of the Hanford Site. Year 2010 was the first census year that a 50-mile population of a Hanford Site operational area exceeded the half-million mark.

  2. 1999 Commercial Buildings Characteristics--Census Region

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels for Electric Utility Plants 1998

  3. Census Snapshot: Michigan

    E-Print Network [OSTI]

    Romero, Adam P; Baumle, Amanda; Badgett, M.V. Lee; Gates, Gary J

    2007-01-01T23:59:59.000Z

    INSTITUTE CENSUS SNAPSHOT | MICHIGAN | SEPTEMBER 2007INSTITUTE CENSUS SNAPSHOT | MICHIGAN | SEPTEMBER 2007 AboutMICHIGAN Adam P. Romero, Public Policy Fellow Amanda Baumle,

  4. Census Snapshot: Oklahoma

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    WILLIAMS INSTITUTE CENSUS SNAPSHOT | OKLAHOMA | JANUARY 2008OKLAHOMA Adam P. Romero, Public Policy Fellow Clifford J.couples raising children in Oklahoma. We compare same-sex “

  5. "Table HC10.5 Space Heating Usage Indicators by U.S. Census...

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

    5 Space Heating Usage Indicators by U.S. Census Region, 2005" " Million U.S. Housing Units" ,"Housing Units (millions)","U.S. Census Region" "Space Heating Usage...

  6. Census Snapshot: New Mexico

    E-Print Network [OSTI]

    Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    THE WILLIAMS INSTITUTE CENSUS SNAPSHOT NEW MEXICO APRIL 2008NEW MEXICO Adam P. Romero, Public Policy Fellow Clifford J.raising children in New Mexico. We compare same-sex “

  7. Census Snapshot: Puerto Rico

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    WILLIAMS INSTITUTE CENSUS SNAPSHOT PUERTO RICO APRIL 2008PUERTO RICO Adam P. Romero, Public Policy Fellow Clifford J.in the Commonwealth of Puerto Rico. We compare same-sex “

  8. Oklahoma Census Snapshot: 2010

    E-Print Network [OSTI]

    Gates, Gary J.; Cooke, Abigail M.

    2011-01-01T23:59:59.000Z

    Oklahoma Census Snapshot: 2010 Same-sex couples per 1,000same-sex couples County Oklahoma Same-sex couples (adjusted)households (adjusted) Tulsa Oklahoma City Norman Shawnee

  9. The Census Taker's Hat

    E-Print Network [OSTI]

    Leonard Susskind

    2007-10-05T23:59:59.000Z

    If the observable universe really is a hologram, then of what sort? Is it rich enough to keep track of an eternally inflating multiverse? What physical and mathematical principles underlie it? Is the hologram a lower dimensional quantum field theory, and if so, how many dimensions are explicit, and how many "emerge?" Does the Holographic description provide clues for defining a probability measure on the Landscape? The purpose of this lecture is first, to briefly review a proposal for a holographic cosmology by Freivogel, Sekino, Susskind, and Yeh (FSSY), and then to develop a physical interpretation in terms of a "Cosmic Census Taker:" an idea introduced in reference [1]. The mathematical structure--a hybrid of the Wheeler DeWitt formalism and holography--is a boundary "Liouville" field theory, whose UV/IR duality is closely related to the time evolution of the Census Taker's observations. That time evolution is represented by the renormalization-group flow of the Liouville theory. Although quite general, the Census Taker idea was originally introduced in \\cite{shenker}, for the purpose of counting bubbles that collide with the Census Taker's bubble. The "Persistence of Memory" phenomenon discovered by Garriga, Guth, and Vilenkin, has a natural RG interpretation, as does slow roll inflation. The RG flow and the related C-theorem are closely connected with generalized entropy bounds.

  10. Harvesting Machine Census 1999 & 2001

    E-Print Network [OSTI]

    1 Harvesting Machine Census 1999 & 2001 231 Corstorphine Road Edinburgh EH12 7AT www.forestry.gov.uk FCTN001 SUMMARY This Technical Note contains information on the 1999 and 2001 harvesting machine censuses. As 31% fewer returns were received in 2001 a meaningful comparison of numbers cannot be made

  11. FINDING INFORMATION FOR TORONTO IN THE CENSUS OF CANADA 1901

    E-Print Network [OSTI]

    Haykin, Simon

    1 FINDING INFORMATION FOR TORONTO IN THE CENSUS OF CANADA 1901 (NOMINAL CENSUS) Go to 1901TorontoCensusDistrict,Sub-Districtandmicrofilmreelnumber To find information for an individual in the Census of Canada 1901, you need to know: - the Census Directory first, to get the street address. #12;2 Go to the Library andArchives Canada website for Census

  12. Figure 1. Census Regions and Divisions

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name: Email: Terminal2,7,7,of2014FORMUS Federal

  13. Title: Census of Canada 2001: Census Tract Profile: Winnipeg, Manitoba Data Creator /

    E-Print Network [OSTI]

    Title: Census of Canada 2001: Census Tract Profile: Winnipeg, Manitoba Data Creator / Copyright Owner: Statistics Canada Publisher: Statistics Canada Edition: 2001 Versions: N/A Publication Date: 2003. Contact: Map and GIS Librarian (gislib@yorku.ca) Citation: Canada. Statistics Canada. "Census of Canada

  14. Interfacing US Census map files with statistical graphics software: Application and use in epidemiology

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. (Lawrence Berkeley Lab., CA (United States) California Univ., Berkeley, CA (United States). School of Public Health)

    1993-03-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic map files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing). The TIGER files, accessible through purchase or Federal repository libraries, contain 24 billion characters of data describing various geographic features including coastlines, hydrography, transportation networks, political boundaries, etc. covering the entire United States. Many of these physical features are of potential interest in epidemiological case studies. Unfortunately, the TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S's high-level approach toward statistical analysis and graphical display of data. Coupling this statistical software with the map database developed for US Census data collection will facilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER database for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are useful for displaying regional statistical data; e.g., disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and appropriate if the data are not regionalized. Census tract data of AIDS incidence in San Francisco (CA) and lung cancer case locations relative to petrochemical refinery sites in Contra Costa County (CA) are used to illustrate the methods and potential uses of interfacing the TIGER database with S.

  15. " by Census Region, Census Division, Industry Group, Selected Industries, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996B2.CFMSQF2N3:Release(M)Total

  16. " by Census Region, Census Division, Industry Group, Selected Industries, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by Climate6,1996B2.CFMSQF2N3:Release(M)TotalTotal

  17. " by Census Region, Census Division, Industry Group, Selected Industries, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances by

  18. " Census Region, Census Division, Industry Group, and Selected Industries, 1994"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for Heat,25

  19. " and Electricity Generation by Census Region, Census Division, Industry Group,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for61

  20. " by Type of Supplier, Census Region, Census Division, Industry Group,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for613. Average

  1. " of Supplier, Census Region, Census Division, and Economic Characteristics"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy for613.

  2. " Electricity Generation by Census Region, Census Division, Industry Group, and"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of Energy18 Number of833A6.

  3. Table A26. Components of Total Electricity Demand by Census Region, Census Di

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18.1.

  4. Categorical Exclusion Determinations: B5.1 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1: Outdoor7:3:7:B5.1:

  5. Categorical Exclusion Determinations: B5.10 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1: Outdoor7:3:7:B5.1:0:

  6. Categorical Exclusion Determinations: B5.11 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1: Outdoor7:3:7:B5.1:0:1:

  7. Categorical Exclusion Determinations: B5.12 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1: Outdoor7:3:7:B5.1:0:1:2:

  8. CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER,

    E-Print Network [OSTI]

    CREEL CENSUS AND EXPENDITURE STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological STUDY, NORTH FORK SUN RIVER, MONTANA, 1951 Marine Biological Laboratory JUN16 1954 WOODS HOLE, MASS MAP CREEL CENSUS SUN RIVER MONTANA DRAWN i*^ ^ TRACED- _2ÂŁjLt:l SUBMITTED . 1 V N 01 1 VN ei

  9. Course Enrollment by College -Census West Lafayette -Spring 2009

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Course Enrollment by College - Census West Lafayette - Spring 2009 Freeze Date: Jan 28, 2009 Enrollment by College - Census West Lafayette - Spring 2009 Freeze Date: Jan 28, 2009 College Enrollment 01 & Meat Mrkt 6 2 15 4 8 35 AGEC42200 Technical Price Anly 6 2 15 3 8 34 AGEC42600 Mkt Mgt Agr Bus 3 7 23 4

  10. Course Enrollment by College -Census West Lafayette -Spring 2011

    E-Print Network [OSTI]

    Ginzel, Matthew

    Course Enrollment by College - Census West Lafayette - Spring 2011 Freeze Date: Jan 25, 2011 Enrollment by College - Census West Lafayette - Spring 2011 Freeze Date: Jan 25, 2011 College Enrollment 01 & Meat Mrkt 1 4 13 6 17 41 AGEC42200 Technical Price Anly 1 3 10 4 16 34 AGEC42400 Finan Mgt Agr Bus 9 27

  11. Course Enrollment by College -Census West Lafayette -Spring 2010

    E-Print Network [OSTI]

    Pittendrigh, Barry

    Course Enrollment by College - Census West Lafayette - Spring 2010 Freeze Date: Jan 26, 2010 by College - Census West Lafayette - Spring 2010 Freeze Date: Jan 26, 2010 College Enrollment 01 02 03 04 05 7 3 16 13 21 63 AGEC41200 Farm Business Mgmt 3 8 11 AGEC42100 Livestock & Meat Mrkt 1 1 3 15 7 15 42

  12. Forest Inventory and Analysis Research The Nation's Forest Census

    E-Print Network [OSTI]

    Forest Inventory and Analysis Research F I A The Nation's Forest Census The U.S. Forest Inventory Monitoring Symposium November 4, 2008 #12;Forest Inventory and Analysis Research F I A The Nation's Forest Census FIA Program Perspectives · Only comprehensive forest inventory for each of the 50 States, Puerto

  13. Interfacing US Census map files with statistical graphics software: Application and use in epidemiology. Revision 1

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. [Lawrence Berkeley Lab., CA (United States)]|[California Univ., Berkeley, CA (United States). School of Public Health

    1993-03-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic map files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing). The TIGER files, accessible through purchase or Federal repository libraries, contain 24 billion characters of data describing various geographic features including coastlines, hydrography, transportation networks, political boundaries, etc. covering the entire United States. Many of these physical features are of potential interest in epidemiological case studies. Unfortunately, the TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. Recently, the S statistical software package has been extended to include a map display function. The map function augments S`s high-level approach toward statistical analysis and graphical display of data. Coupling this statistical software with the map database developed for US Census data collection will facilitate epidemiological research. We discuss the technical background necessary to utilize the TIGER database for mapping with S. Two types of S maps, segment-based and polygon-based, are discussed along with methods to construct them from TIGER data. Polygon-based maps are useful for displaying regional statistical data; e.g., disease rates or incidence at the census tract level. Segment-based maps are easier to assemble and appropriate if the data are not regionalized. Census tract data of AIDS incidence in San Francisco (CA) and lung cancer case locations relative to petrochemical refinery sites in Contra Costa County (CA) are used to illustrate the methods and potential uses of interfacing the TIGER database with S.

  14. Census: Location-Aware Membership Management for Large-Scale Distributed Systems

    E-Print Network [OSTI]

    Cowling, James Alexander

    We present Census, a platform for building large-scale distributed applications. Census provides a membership service and a multicast mechanism. The membership service provides every node with a consistent view of the ...

  15. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM #12;Section Enrollment Report (CENSUS) - Table of Contents Subject Description NUCL NUCL-Nuclear

  16. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr &Hum-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM Report (CENSUS) - Table of Contents Subject Description NS NS-Naval Science NUCL NUCL-Nuclear Engineering

  17. "Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.

  18. "Table A33. Total Quantity of Purchased Energy Sources by Census Region, Census Division,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity

  19. NEUTRON SCATTERING SHOWS THAT CYTOCHROME b5 PENETRATES DEEPLY INTO THE LIPID BILAYER

    E-Print Network [OSTI]

    NEUTRON SCATTERING SHOWS THAT CYTOCHROME b5 PENETRATES DEEPLY INTO THE LIPID BILAYER E. P. GOGOL to lipid vesicles using neutron small-angle scattering methods. To increase scat- tering contrast between of a highly deuterated phospholipid. Small-angle neutron diffraction patterns were collected in a series of H

  20. A GSC Global Genome Census (GSC8 Meeting)

    ScienceCinema (OSTI)

    Kyrpides, Nikos [DOE JGI

    2011-04-29T23:59:59.000Z

    The Genomic Standards Consortium was formed in September 2005. It is an international, open-membership working body which promotes standardization in the description of genomes and the exchange and integration of genomic data. The 2009 meeting was an activity of a five-year funding "Research Coordination Network" from the National Science Foundation and was organized held at the DOE Joint Genome Institute with organizational support provided by the JGI and by the University of California - San Diego. Nikos Kyrpides of the DOE Joint Genome Institute discusses the notion of a global genome census at the Genomic Standards Consortium's 8th meeting at the DOE JGI in Walnut Creek, Calif. on Sept. 9, 2009.

  1. Cummins Engine Company B5.9 Propane Engine Development, Certification, and Demonstration Project

    SciTech Connect (OSTI)

    The ADEPT Group, Inc. (Los Angeles, California)

    1998-12-18T23:59:59.000Z

    The objective of this project was to successfuly develop and certify an LPG-dedicated medium-duty original equipment manufacturer (OEM) engine that could be put into production. The engine was launched into production in 1994, and more than 800 B5.9G engines are now in service in the United States and abroad. This engine is now offered by more than 30 bus and truck OEMs.

  2. 1992 National census for district heating, cooling and cogeneration

    SciTech Connect (OSTI)

    Not Available

    1993-07-01T23:59:59.000Z

    District energy systems are a major part of the energy use and delivery infrastructure of the United States. With nearly 6,000 operating systems currently in place, district energy represents approximately 800 billion BTU per hour of installed thermal production capacity, and provides over 1.1 quadrillion BTU of energy annually -- about 1.3% of all energy used in the US each year. Delivered through more that 20,000 miles of pipe, this energy is used to heat and cool almost 12 billion square feet of enclosed space in buildings that serve a diverse range of office, education, health care, military, industrial and residential needs. This Census is intended to provide a better understanding of the character and extent of district heating, cooling and cogeneration in the United States. It defines a district energy system as: Any system that provides thermal energy (steam, hot water, or chilled water) for space heating, space cooling, or process uses from a central plant, and that distributes the energy to two or more buildings through a network of pipes. If electricity is produced, the system is a cogenerating facility. The Census was conducted through surveys administered to the memberships of eleven national associations and agencies that collectively represent the great majority of the nation`s district energy system operators. Responses received from these surveys account for about 11% of all district systems in the United States. Data in this report is organized and presented within six user sectors selected to illustrate the significance of district energy in institutional, community and utility settings. Projections estimate the full extent of district energy systems in each sector.

  3. Conception rates after artificial insemination as affected by heparin binding protein-B5 in frozen semen

    E-Print Network [OSTI]

    Harris, Matthew Duncan

    1996-01-01T23:59:59.000Z

    of HBP-B5 (21, 24, and 31 kDa forms) on the sperm membranes. Bulls were classified into one of three fertility groups, High (H), Medium (M), or Low (L), according to their BBP-B5 profile. Non-lactating, multiparous Angus or Hereford cows (n--108) were...

  4. Conception rates after artificial insemination as affected by heparin binding protein-B5 in frozen semen 

    E-Print Network [OSTI]

    Harris, Matthew Duncan

    1996-01-01T23:59:59.000Z

    of HBP-B5 (21, 24, and 31 kDa forms) on the sperm membranes. Bulls were classified into one of three fertility groups, High (H), Medium (M), or Low (L), according to their BBP-B5 profile. Non-lactating, multiparous Angus or Hereford cows (n--108) were...

  5. Cytochrome b5 gene and protein of Candida tropicalis and methods relating thereto

    DOE Patents [OSTI]

    Craft, David L. (Fort Thomas, KY); Madduri, Krishna M. (Westfield, IN); Loper, John C. (Cincinnati, OH)

    2003-01-01T23:59:59.000Z

    A novel gene has been isolated which encodes cytochrome b5 (CYTb5) protein of the .omega.-hydroxylase complex of C. tropicalis 20336. Vectors including this gene, and transformed host cells are provided. Methods of increasing the production of a CYTb5 protein are also provided which involve transforming a host cell with a gene encoding this protein and culturing the cells. Methods of increasing the production of a dicarboxylic acid are also provided which involve increasing in the host cell the number of genes encoding this protein.

  6. Sampling with Synthesis: A New Approach for Releasing Public Use Census Microdata

    E-Print Network [OSTI]

    Reiter, Jerome P.

    project; sampling fractions range from .07% in India to 10% in South American countries (https the world deposit samples from censuses with the Integrated Public Use Microdata Series international

  7. Solar Census - Perfecting the Art of Automated, Remote Solar Shading Assessments (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2014-04-01T23:59:59.000Z

    To validate the work completed by Solar Census as part of the Department of Energy SunShot Incubator 8 award, NREL validated the performanec of the Solar Census Surveyor tool against the industry standard Solmetric SunEye measurements for 4 residential sites in California who experienced light to heavy shading. Using the a two one-sided test (TOST) of statistical equivalence, NREL found that the mean differences between the Solar Census and SunEye mean solar access values for Annual, Summer, and Winter readings fall within the 95% confidence intervals and the confidence intervals themselves fall within the tolerances of +/- 5 SAVs, the Solar Census calculations are statistically equivalent to the SunEye measurements.

  8. CENSUS OF BLUE STARS IN SDSS DR8

    SciTech Connect (OSTI)

    Scibelli, Samantha [Burnt Hills-Ballston Lake High School, 88 Lake Hill Road, Ballston, NY 12027 (United States); Newberg, Heidi Jo; Carlin, Jeffrey L. [Department of Physics, Applied Physics and Astronomy, Rensselaer Polytechnic Institute, 110 8th Street, Troy, NY 12180 (United States); Yanny, Brian, E-mail: heidi@rpi.edu [Experimental Astrophysics Group, Fermi National Accelerator Laboratory, P.O. Box 500, Batavia, IL 60510 (United States)

    2015-01-01T23:59:59.000Z

    We present a census of the 12,060 spectra of blue objects ((g – r){sub 0} < –0.25) in the Sloan Digital Sky Survey (SDSS) Data Release 8 (DR8). As part of the data release, all of the spectra were cross-correlated with 48 template spectra of stars, galaxies, and QSOs to determine the best match. We compared the blue spectra by eye to the templates assigned in SDSS DR8. 10,856 of the objects matched their assigned template, 170 could not be classified due to low signal-to-noise ratio, and 1034 were given new classifications. We identify 7458 DA white dwarfs, 1145 DB white dwarfs, 273 rarer white dwarfs (including carbon, DZ, DQ, and magnetic), 294 subdwarf O stars, 648 subdwarf B stars, 679 blue horizontal branch stars, 1026 blue stragglers, 13 cataclysmic variables, 129 white dwarf-M dwarf binaries, 36 objects with spectra similar to DO white dwarfs, 179, quasi-stellar objects (QSOs), and 10 galaxies. We provide two tables of these objects, sample spectra that match the templates, figures showing all of the spectra that were grouped by eye, and diagnostic plots that show the positions, colors, apparent magnitudes, proper motions, etc., for each classification. Future surveys will be able to use templates similar to stars in each of the classes we identify to automatically classify blue stars, including rare types.

  9. Census taking in the hat: FRW/CFT duality

    SciTech Connect (OSTI)

    Sekino, Yasuhiro [Department of Physics, Stanford University, Stanford, California 94305-4060 (United States); Okayama Institute for Quantum Physics, 1-9-1 Kyoyama, Okayama 700-0015 (Japan); Susskind, Leonard [Department of Physics, Stanford University, Stanford, California 94305-4060 (United States)

    2009-10-15T23:59:59.000Z

    In this paper a holographic description of eternal inflation is developed. We focus on the description of an open Friedmann-Robertson-Walker (FRW) universe that results from a tunneling event in which a false vacuum with positive vacuum energy decays to a supersymmetric vacuum with vanishing cosmological constant. The observations of a 'census taker' in the final vacuum can be organized into a holographic dual conformal field theory that lives on the asymptotic boundary of space. We refer to this bulk-boundary correspondence as FRW/CFT duality. The dual conformal field theory (CFT) is a Euclidean two-dimensional theory that includes a Liouville 2D gravity sector describing geometric fluctuations of the boundary. The renormalization-group flow of the theory is richer than in the AdS/CFT correspondence, and generates two space-time dimensions--one spacelike and one timelike. We discuss a number of phenomena such as bubble collisions, and the Garriga, Guth Vilenkin 'persistence of memory', from the dual viewpoint.

  10. Evolutionary divergence in proteins: experimental and theoretical studies on the stability and electrochemical properties of cytochrome b5

    E-Print Network [OSTI]

    Parthasarathy, Sudharsan

    2012-05-31T23:59:59.000Z

    Cytochrome b5 (CYB5) is a small ubiquitous heme binding protein whose biochemical function is electron transfer. Two isoforms of CYB5 are found in mammals, which are named based on their specific subcellular localization. ...

  11. Interfacing 1990 US Census TIGER map files with New S graphics software

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. [Lawrence Berkeley Lab., CA (United States)]|[California Univ., Berkeley, CA (United States). School of Public Health

    1992-07-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT&T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER ``line`` format into New S ``polygon/polyline`` format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

  12. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region...

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

    Central","West North Central" "Total U.S. Housing Units",111.1,25.6,17.7,7.9 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  13. "Table HC14.13 Lighting Usage Indicators by West Census Region...

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

    icators",,,"Mountain","Pacific" "Total U.S. Housing Units",111.1,24.2,7.6,16.6 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  14. "Table HC13.13 Lighting Usage Indicators by South Census Region...

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

    South Central" "Total U.S. Housing Units",111.1,40.7,21.7,6.9,12.1 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  15. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region...

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

    ,"Midwest","South","West" "Total U.S. Housing Units",111.1,20.6,25.6,40.7,24.2 "Indoor Lights Turned On During Summer" "Number of Lights Turned On" "Between 1 and 4 Hours per...

  16. Table 2: U.S. Geographic Areas and Census Regions | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23, 2014,ZaleskiThis Decision considersTable 1: Points of Entry/Exit andTable 2:

  17. Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14: Total U.S.0a.

  18. Table HC1-11a. Housing Unit Characteristics by South Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14: Total U.S.0a.1a.

  19. Table HC1-12a. Housing Unit Characteristics by West Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14: Total

  20. Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a. Housing Unit

  1. Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14Total DeliveredPrincipal shale gas:14:9a.

  2. Table A19. Components of Total Electricity Demand by Census Region and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18. Quantity

  3. Table A20. Components of Onsite Electricity Generation by Census Region and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18. QuantityComponents

  4. Table A26. Total Quantity of Purchased Energy Sources by Census Region and

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18.1.Total Quantity of

  5. Table A28. Components of Onsite Electricity Generation by Census Region, Cens

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWest Virginia"18.1.Total

  6. Table B3. Census Region, Number of Buildings and Floorspace, 1999

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013,Iowa"Dakota" ,"FullWestQuantity of2".9. Percent of.

  7. U.S. Census Regions and Divisions Map for Commercial Buildings

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New England (PADD 1A) ConnecticutProduct:2009

  8. " Generation by Census Region, Industry Group, Selected Industries, Presence of"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.4 Number46814324.

  9. " Electricity Generation by Census Region, Industry Group, and Selected"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.45.1" "

  10. " Electricity Generation by Census Region, Industry Group, and Selected"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. Appliances byA49. Total Inputs of12.1.S4.1.45.1"

  11. "Table A16. Components of Total Electricity Demand by Census Region, Industry"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Components of

  12. "Table A17. Components of Onsite Electricity Generation by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Components

  13. "Table A22. Total Quantity of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6. Components.2.

  14. "Table A24. Total Expenditures for Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.

  15. "Table A27. Components of Onsite Electricity Generation by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.Components of

  16. "Table A28. Total Expenditures for Purchased Energy Sources by Census Region"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30. Total6.Components

  17. "Table A32. Total Quantity of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity of

  18. "Table A36. Total Expenditures for Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity6.

  19. "Table A37. Total Expenditures for Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2"Quantity6.7.

  20. "Table A42. Average Prices of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates in1"

  1. "Table A42. Average Prices of Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates

  2. Table HC1-10a. Housing Unit Characteristics by Midwest Census Region,

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by TypeWeekly

  3. Table HC1-11a. Housing Unit Characteristics by South Census Region,

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by TypeWeekly1a.

  4. Table HC1-12a. Housing Unit Characteristics by West Census Region,

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by TypeWeekly1a.2a.

  5. Table HC1-9a. Housing Unit Characteristics by Northeast Census Region,

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a. Housing8a.9a.

  6. Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17questionnairesU.S. Weekly Download:Stocks by3a. Housing8a.9a.1.1

  7. "Table HC11.1 Housing Unit Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.9

  8. "Table HC11.11 Home Electronics Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436

  9. "Table HC11.13 Lighting Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3

  10. "Table HC11.2 Living Space Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home32

  11. "Table HC11.4 Space Heating Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home324

  12. "Table HC11.6 Air Conditioning Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362

  13. "Table HC11.8 Water Heating Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278 Water

  14. "Table HC11.9 Home Appliances Characteristics by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278

  15. "Table HC12.1 Housing Unit Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278

  16. "Table HC12.11 Home Electronics Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780 Home1

  17. "Table HC12.13 Lighting Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803

  18. "Table HC12.2 Living Space Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278032

  19. "Table HC12.4 Space Heating Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780324

  20. "Table HC12.6 Air Conditioning Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436278032456

  1. "Table HC12.8 Water Heating Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space

  2. "Table HC12.9 Home Appliances Characteristics by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances

  3. "Table HC13.1 Housing Unit Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing Unit

  4. "Table HC13.11 Home Electronics Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing1

  5. "Table HC13.13 Lighting Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13

  6. "Table HC13.2 Living Space Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing132

  7. "Table HC13.4 Space Heating Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing1324

  8. "Table HC13.6 Air Conditioning Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances

  9. "Table HC13.8 Water Heating Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water

  10. "Table HC13.9 Home Appliances Characteristics by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.9

  11. "Table HC14.1 Housing Unit Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.9

  12. "Table HC14.11 Home Electronics Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.901

  13. "Table HC14.13 Lighting Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783 Lighting

  14. "Table HC14.2 Living Space Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783 Lighting2

  15. "Table HC14.4 Space Heating Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances783

  16. "Table HC14.6 Air Conditioning Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space6

  17. "Table HC14.8 Water Heating Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space678

  18. "Table HC14.9 Home Appliances Characteristics by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835

  19. 2012 Census of Agriculture Underway Respond Now For many farmers across the nation, this is the time of year to finish paperwork after a busy

    E-Print Network [OSTI]

    Watson, Craig A.

    2012 Census of Agriculture Underway ­ Respond Now For many farmers across the nation. This makes it a perfect time to also fill out and return your 2012 Census of Agriculture form. The Census of Agriculture is sent to all farmers and ranchers only once every five years by USDA's National Agricultural

  20. TOWARD A SPECTROSCOPIC CENSUS OF WHITE DWARFS WITHIN 40 pc OF THE SUN

    SciTech Connect (OSTI)

    Limoges, M.-M.; Bergeron, P. [Departement de Physique, Universite de Montreal, C.P. 6128, Succ. Centre-Ville, Montreal, Quebec H3C 3J7 (Canada); Lepine, S., E-mail: limoges@astro.umontreal.ca, E-mail: bergeron@astro.umontreal.ca, E-mail: lepine@amnh.org [Department of Astrophysics, Division of Physical Sciences, American Museum of Natural History, Central Park West at 79th Street, New York, NY 1002 (United States)

    2013-05-15T23:59:59.000Z

    We present the preliminary results of a survey aimed at significantly increasing the range and completeness of the local census of spectroscopically confirmed white dwarfs. The current census of nearby white dwarfs is reasonably complete only to about 20 pc of the Sun, a volume that includes around 130 white dwarfs, a sample too small for detailed statistical analyses. This census is largely based on follow-up investigations of stars with very large proper motions. We describe here the basis of a method that will lead to a catalog of white dwarfs within 40 pc of the Sun and north of the celestial equator, thus increasing by a factor of eight the extent of the northern sky census. White dwarf candidates are identified from the SUPERBLINK proper motion database, allowing us to investigate stars down to a proper motion limit {mu} > 40 mas yr{sup -1}, while minimizing the kinematic bias for nearby objects. The selection criteria and distance estimates are based on a combination of color-magnitude and reduced proper motion diagrams. Our follow-up spectroscopic observation campaign has so far uncovered 193 new white dwarfs, among which we identify 127 DA (including 9 DA+dM and 4 magnetic), 1 DB, 56 DC, 3 DQ, and 6 DZ stars. We perform a spectroscopic analysis on a subsample of 84 DAs, and provide their atmospheric parameters. In particular, we identify 11 new white dwarfs with spectroscopic distances within 25 pc of the Sun, including five candidates to the D < 20 pc subset.

  1. Interfacing 1990 US Census TIGER map files with New S graphics software. [Topologically Integrated Geographic Encoding and Referencing (TIGER)

    SciTech Connect (OSTI)

    Rizzardi, M.; Mohr, M.S.; Merrill, D.W.; Selvin, S. (Lawrence Berkeley Lab., CA (United States) California Univ., Berkeley, CA (United States). School of Public Health)

    1992-07-01T23:59:59.000Z

    In 1990, the United States Bureau of the Census released detailed geographic base files known as TIGER/Line (Topologically Integrated Geographic Encoding and Referencing) which contain detail on the physical features and census tract boundaries of every county in the United States. The TIGER database is attractive for two reasons. First, it is publicly available through the Bureau of the Census on tape or cd-rom for a minimal fee. Second, it contains 24 billion characters of data which describe geographic features of interest to the Census Bureau such as coastlines, hydrography, transportation networks, political boundaries, etc. Unfortunately, the large TIGER database only provides raw alphanumeric data; no utility software, graphical or otherwise, is included. On the other hand New S, a popular statistical software package by AT T, has easily operated functions that permit advanced graphics in conjunction with data analysis. New S has the ability to plot contours, lines, segments, and points. However, of special interest is the New S function map and its options. Using the map function, which requires polygons as input, census tracts can be quickly selected, plotted, shaded, etc. New S graphics combined with the TIGER database has obvious potential. This paper reports on our efforts to use the TIGER map files with New S, especially to construct census tract maps of counties. While census tract boundaries are inherently polygonal, they are not organized as such in the TIGER database. This conversion of the TIGER line'' format into New S polygon/polyline'' format is one facet of the work reported here. Also we discuss the selection and extraction of auxiliary geographic information from TIGER files for graphical display using New S.

  2. Data:F929af79-8845-4275-b5a8-b6cfad2dcb64 | Open Energy Information

    Open Energy Info (EERE)

    5-b5a8-b6cfad2dcb64 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic...

  3. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 103,NO. B5,PAGES 10,161-10,176,MAY 10, 1998 Episodic imbricate thrusting and underthrusting'

    E-Print Network [OSTI]

    Demouchy, Sylvie

    JOURNAL OF GEOPHYSICAL RESEARCH, VOL. 103,NO. B5,PAGES 10,161-10,176,MAY 10, 1998 Episodic. Copyright 1998 by the American GeophysicalUnion. Paper number 97JB03541. 0148-0227/ 98/ 97JB-03541

  4. Data:9fe97b4d-ed11-40b5-930f-8956845bea87 | Open Energy Information

    Open Energy Info (EERE)

    1-40b5-930f-8956845bea87 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic...

  5. Data:603f1760-8be7-4fab-8191-bff12fe92b5f | Open Energy Information

    Open Energy Info (EERE)

    1-bff12fe92b5f No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic Information...

  6. A CENSUS OF LONG STAY PATIENTS IN GOVERNMENT MENTAL HOSPITALS IN INDIA

    E-Print Network [OSTI]

    M. Venkataswamy Reddy

    A single day census found that long-stay patients (LSP) numbering 7,307 accounted for about 48 % of the total inpatient strength of 15,345 in government mental hospitals in India. A load of 2695 (37%) LSP were in two to five years duration of stay, 2782 (38%) were in five to fifteen years duration of stay, and the remaining 1830 (25%) were staying for more than fifteen years. About 11 % of LSP were aged sixty years and above, majority (53%) were males, non-voluntary cases constituted 80%. and more than two-thirds (69%) were schizophrenics. The characteristics distributions associated with high rates of LSP at individual hospitals were identified. The load of LSP was decreased by 9 % during the period from 1993 to 1999. Key words: Census, long-stay patients, government mental hospitals, national indicators Sufficient data on long-stay patients (LSP) in government mental hospitals were lacking in India, though certain informations about some individual hospitals or a small group of hospitals have been reported (Sathyavathi and

  7. Appendix B-5

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

    as delegated by the NREL. (4) Except as otherwise provided in this subcontract, the terms "subcontracts and lower-tier subcontracts" includes, but is not limited to, purchase...

  8. Appendix B-5

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office511041cloth DocumentationProductsAlternative FuelsSanta3 TableimpurityAppeals byU.S.U.S.AppendixB0235

  9. b5.pdf

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building Floorspace (Square Feet) 1,001 to 5,00064,783 56,940West South Central

  10. b5.xls

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Building Floorspace (Square Feet) 1,001 to 5,00064,783 56,940West South

  11. JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, VOL. 118, 17591 , doi:10.1002/jgrc.20155, 2013 A three-dimensional eddy census of a high-resolution global

    E-Print Network [OSTI]

    Hamann, Bernd

    JOURNAL OF GEOPHYSICAL RESEARCH: OCEANS, VOL. 118, 1759­1 , doi:10.1002/jgrc.20155, 2013 A three-dimensional eddy census of a high-resolution global ocean simulation Mark R. Petersen,1 Sean J. Williams,1,2 Mathew from a global ocean simulation with one-tenth degree resolution and a duration of 7 years. The census

  12. Production of Hev b5 as a fluorescent biotin-binding tripartite fusion protein in insect cells

    SciTech Connect (OSTI)

    Nordlund, Henri R. [Department of Biological and Environmental Science, NanoScience Center, P.O. Box 35, FIN-40014 University of Jyvaeskylae (Finland)]. E-mail: henri.nordlund@uta.fi; Laitinen, Olli H. [AI Virtanen Institute, Department of Molecular Medicine, University of Kuopio, P.O. Box 1627, FIN-70211 Kuopio (Finland); Uotila, Sanna T.H. [Department of Biological and Environmental Science, NanoScience Center, P.O. Box 35, FIN-40014 University of Jyvaeskylae (Finland); Kulmala, Minna [Institute of Biotechnology, University of Helsinki, P.O. Box 56 (Viikinkaari 9), FIN-00014 Helsinki (Finland); Kalkkinen, Nisse [Institute of Biotechnology, University of Helsinki, P.O. Box 56 (Viikinkaari 9), FIN-00014 Helsinki (Finland); Kulomaa, Markku S. [Department of Biological and Environmental Science, NanoScience Center, P.O. Box 35, FIN-40014 University of Jyvaeskylae (Finland)

    2005-10-14T23:59:59.000Z

    The presented green fluorescent protein and streptavidin core-based tripartite fusion system provides a simple and efficient way for the production of proteins fused to it in insect cells. This fusion protein forms a unique tag, which serves as a multipurpose device enabling easy optimization of production, one-step purification via streptavidin-biotin interaction, and visualization of the fusion protein during downstream processing and in applications. In the present study, we demonstrate the successful production, purification, and detection of a natural rubber latex allergen Hev b5 with this system. We also describe the production of another NRL allergen with the system, Hev b1, which formed large aggregates and gave small yields in purification. The aggregates were detected at early steps by microscopical inspection of the infected insect cells producing this protein. Therefore, this fusion system can also be utilized as a fast indicator of the solubility of the expressed fusion proteins and may therefore be extremely useful in high-throughput expression approaches.

  13. 5/23/13 EBSCOhost ehis.ebscohost.com.libproxy.mit.edu/ehost/delivery?sid=24f6d6e6-10b5-495d-90c9-221fc19a83fe%40sessionmgr114&vid=7&hid=107 1/2

    E-Print Network [OSTI]

    Deutch, John

    strike plan, and the number and types of nuclear delivery systems required to meet future security needs power. U.S. nuclear forces can deter aggression in unstable regions of the world. Saddam Hussein hasd6e6-10b5-495d-90c9-221fc19a83fe%40sessionmgr114&vid=7&hid=107 2/2 hard-line leadership of China

  14. "Table A3. Total Primary Consumption of Combustible Energy for Nonfuel Purposes by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal" "(Data1.30.2" "Nonfuel

  15. "Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates in Dollars

  16. "Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocksa. AppliancesTotal"1" " (Estimates in

  17. "Table HC10.1 Housing Unit Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.1

  18. "Table HC10.10 Home Appliances Usage Indicators by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.10

  19. "Table HC10.11 Home Electronics Characteristics by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4 Cooled0.101

  20. "Table HC10.12 Home Electronics Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4

  1. "Table HC10.13 Lighting Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting

  2. "Table HC10.2 Living Space Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting2

  3. "Table HC10.4 Space Heating Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43 Lighting24

  4. "Table HC10.5 Space Heating Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43

  5. "Table HC10.6 Air Conditioning Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air

  6. "Table HC10.7 Air-Conditioning Usage Indicators by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air7

  7. "Table HC10.8 Water Heating Characteristics by U.S. Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air78

  8. "Table HC10.9 Home Appliances Characteristics by U.S. Census Regions, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.9

  9. "Table HC11.10 Home Appliances Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal436 Air780.90

  10. "Table HC11.12 Home Electronics Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home

  11. "Table HC11.5 Space Heating Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362 Home3245

  12. "Table HC11.7 Air-Conditioning Usage Indicators by Northeast Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627

  13. "Table HC12.10 Home Appliances Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780 Home

  14. "Table HC12.12 Home Electronics Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780

  15. "Table HC12.5 Space Heating Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal43627803245

  16. "Table HC12.7 Air-Conditioning Usage Indicators by Midwest Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space Heating8TotalTotal4362780324567

  17. "Table HC13.10 Home Appliances Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing

  18. "Table HC13.5 Space Heating Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances Housing13245

  19. "Table HC13.7 Air-Conditioning Usage Indicators by South Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7

  20. "Table HC14.10 Home Appliances Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78 Water3.90

  1. "Table HC14.12 Home Electronics Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances78

  2. "Table HC14.5 Space Heating Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space

  3. "Table HC14.7 Air-Conditioning Usage Indicators by West Census Region, 2005"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9 Home Appliances7835 Space67

  4. Data:749fbfcb-a56a-4f98-b5f7-02d31b37af83 | Open Energy Information

    Open Energy Info (EERE)

    fbfcb-a56a-4f98-b5f7-02d31b37af83 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1....

  5. Data:5ccaa7a7-0863-44b5-98fe-1e44dc285b01 | Open Energy Information

    Open Energy Info (EERE)

    ccaa7a7-0863-44b5-98fe-1e44dc285b01 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading......

  6. Data:Fe5b5ae4-e404-4654-879b-b84f08c20e25 | Open Energy Information

    Open Energy Info (EERE)

    Fe5b5ae4-e404-4654-879b-b84f08c20e25 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading......

  7. Data:60cf163f-493f-4fe2-a26c-cc15b5cbc451 | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand JumpConceptual Model,DOE Facility Database Data andDarnestown, Maryland:(Blackwell,cc15b5cbc451 No

  8. A census of precipitation features in the tropics using TRMM: radar, ice scattering, and lightning observations

    E-Print Network [OSTI]

    Nesbitt, Stephen William

    1999-01-01T23:59:59.000Z

    and two ocean regions during August, September and October 1998, this study used radar retrievals and 85 GHz Polarization Corrected Temperatures (PCTs, which passively measure relative concentrations of precipitation-sized ice particles within a cloud...

  9. Consumer Attitudes About Renewable Energy: Trends and Regional Differences

    SciTech Connect (OSTI)

    Natural Marketing Institute, Harleysville, Pennsylvania

    2011-04-01T23:59:59.000Z

    The data in this report are taken from Natural Marketing Institute's (NMI's) Lifestyles of Health and Sustainability Consumer Trends Database. Created in 2002, the syndicated consumer database contains responses from 2,000 to 4,000 nationally representative U.S. adults (meaning the demographics of the sample are consistent with U.S. Census findings) each year. NMI used the database to analyze consumer attitudes and behavior related to renewable energy and to update previously conducted related research. Specifically, this report will explore consumer awareness, concerns, perceived benefits, knowledge of purchase options, and usage of renewable energy as well as provide regional comparisons and trends over time.

  10. Data:Ff96ab4b-b24a-4e86-b1c1-70d4b0d306b5 | Open Energy Information

    Open Energy Info (EERE)

    b1c1-70d4b0d306b5 No revision has been approved for this page. It is currently under review by our subject matter experts. Jump to: navigation, search Loading... 1. Basic...

  11. Health Data Available at the Chicago Census RDC Confidential (restricted-use) versions of NCHS and AHRQ data are available to qualified

    E-Print Network [OSTI]

    Illinois at Chicago, University of

    : · Examining how the provisions of care through health care safely nets affect health outcomes for children1 Health Data Available at the Chicago Census RDC Confidential (restricted-use) versions of NCHS RDC) located at the Federal Reserve Bank of Chicago.1 Confidential versions of health data include

  12. JOURNAL OF GEOPHYSICAL RESEARCH, VOL. ???, XXXX, DOI:10.1029/, A three-dimensional eddy census of a high-resolution1

    E-Print Network [OSTI]

    California at Davis, University of

    of a high-resolution1 global ocean simulation2 Mark R. Petersen, 1 Sean J. Williams, 1,2 Mathew E. Maltrud census data set was obtained from3 a global ocean simulation with one-tenth degree resolution are at least 1000m tall, and many penetrate the14 full depth of the water column. The Antarctic Circumpolar

  13. tex21b5.tmp

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What'sis Taking Over OurThe Iron4 Self-Scrubbing:,, ,Development1U C L E A R Etest and evaluation* .: ,.-

  14. A Census of the Carina Nebula. I: Cumulative Energy Input from Massive Stars

    E-Print Network [OSTI]

    Nathan Smith

    2006-01-04T23:59:59.000Z

    (abridged) The Carina Nebula (NGC 3372) is our richest nearby laboratory in which to study feedback through UV radiation and stellar winds from very massive stars during the formation of an OB association before supernova explosions have influenced the environment. This paper takes inventory of the combined effect from all the known massive stars that power the Carina Nebula. The present-day total ionizing photon luminosity produced by the 65 O stars and 3 WNL stars in Carina is about 1e51/s, the total bolometric luminosity of all stars earlier than B2 is 2.5e7 Lsun, and the total mechanical luminosity of stellar winds is about 1e5 Lsun. The total ionizing flux was about 25 per cent higher when eta Car was on the main sequence, before it and its companion were surrounded by its obscuring dust shell, and when the 3 WNL stars were on the main sequence. For the first 3 Myr, the net ionizing flux of the 70 O-type stars in Carina was about 150 times greater than in the Orion Nebula. About 400-500 Msun has been contributed to the region by stellar wind mass loss during the past 3 Myr. The net ionizing flux and mechanical luminosity are also given for the individual clusters Tr14, 15, and 16, and Bo10 and 11, which are relevant on smaller spatial scales.

  15. Rutgers Regional Report # Regional Report

    E-Print Network [OSTI]

    Garfunkel, Eric

    , population, income, and building permits over a 32-year period from 1969 to 2001 for the 31-county Tri counties of the Tri-State (Connecticut, New Jersey, and New York) Region have been divided for analytical the nation and the Tri-State Region. What has not been fully documented, however, is the apparent shift

  16. AN INFRARED CENSUS OF DUST IN NEARBY GALAXIES WITH SPITZER (DUSTINGS). I. OVERVIEW

    SciTech Connect (OSTI)

    Boyer, Martha L.; Sonneborn, George [Observational Cosmology Laboratory, Code 665, NASA Goddard Space Flight Center, Greenbelt, MD 20771 (United States); McQuinn, Kristen B. W.; Gehrz, Robert D.; Skillman, Evan [Minnesota Institute for Astrophysics, School of Physics and Astronomy, 116 Church Street SE, University of Minnesota, Minneapolis, MN 55455 (United States); Barmby, Pauline [Department of Physics and Astronomy, University of Western Ontario, London, ON, N6A 3K7 (Canada); Bonanos, Alceste Z. [IAASARS, National Observatory of Athens, GR-15236 Penteli (Greece); Gordon, Karl D.; Meixner, Margaret [STScI, 3700 San Martin Drive, Baltimore, MD 21218 (United States); Groenewegen, M. A. T. [Royal Observatory of Belgium, Ringlaan 3, B-1180 Brussels (Belgium); Lagadec, Eric [Laboratoire Lagrange, UMR7293, Univ. Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur, F-06300 Nice (France); Lennon, Daniel [ESA—European Space Astronomy Centre, Apdo. de Correo 78, E-28691 Villanueva de la Cańada, Madrid (Spain); Marengo, Massimo [Department of Physics and Astronomy, Iowa State University, Ames, IA 50011 (United States); Sloan, G. C. [Astronomy Department, Cornell University, Ithaca, NY 14853-6801 (United States); Van Loon, Jacco Th. [Astrophysics Group, Lennard-Jones Laboratories, Keele University, Staffordshire ST5 5BG (United Kingdom); Zijlstra, Albert, E-mail: martha.boyer@nasa.gov [Jodrell Bank Centre for Astrophysics, Alan Turing Building, University of Manchester, Manchester M13 9PL (United Kingdom)

    2015-01-01T23:59:59.000Z

    Nearby resolved dwarf galaxies provide excellent opportunities for studying the dust-producing late stages of stellar evolution over a wide range of metallicity (–2.7 ? [Fe/H] ? –1.0). Here, we describe DUSTiNGS (DUST in Nearby Galaxies with Spitzer): a 3.6 and 4.5 ?m post-cryogen Spitzer Space Telescope imaging survey of 50 dwarf galaxies within 1.5 Mpc that is designed to identify dust-producing asymptotic giant branch (AGB) stars and massive stars. The survey includes 37 dwarf spheroidal, 8 dwarf irregular, and 5 transition-type galaxies. This near-complete sample allows for the building of statistics on these rare phases of stellar evolution over the full metallicity range. The photometry is >75% complete at the tip of the red giant branch for all targeted galaxies, with the exception of the crowded inner regions of IC 10, NGC 185, and NGC 147. This photometric depth ensures that the majority of the dust-producing stars, including the thermally pulsing AGB stars, are detected in each galaxy. The images map each galaxy to at least twice the half-light radius to ensure that the entire evolved star population is included and to facilitate the statistical subtraction of background and foreground contamination, which is severe at these wavelengths. In this overview, we describe the survey, the data products, and preliminary results. We show evidence for the presence of dust-producing AGB stars in eight of the targeted galaxies, with metallicities as low as [Fe/H] = –1.9, suggesting that dust production occurs even at low metallicity.

  17. Census Snapshot: Oklahoma

    E-Print Network [OSTI]

    Romero, Adam P; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    McClain McCurtain McIntosh Major Marshall County Mayes Murray Muskogee Noble Nowata Okfuskee Oklahoma

  18. Census Snapshot: West Virginia

    E-Print Network [OSTI]

    Romero, Adam P.; Rosky, Clifford J; Badgett, M.V. Lee; Gates, Gary J

    2008-01-01T23:59:59.000Z

    WEST VIRGINIA Adam P. Romero, Public Policy Fellow Cliffordraising children in West Virginia. We compare same-sex “sex married couples in West Virginia. 1 JANUARY 2008 In many

  19. Oklahoma Census Snapshot: 2010

    E-Print Network [OSTI]

    Gates, Gary J.; Cooke, Abigail M.

    2011-01-01T23:59:59.000Z

    same-sex couples (adjusted) Tulsa Sequoyah Cleveland Loganhouseholds (adjusted) Tulsa Oklahoma City Norman Shawnee

  20. Regional Production Economics for Ethylene and Propylene Derivatives

    E-Print Network [OSTI]

    McCormack, G.; Pavone, T.

    the significant p~oduction cost indices in each of 10 ~egions, and uses those indices to cal':ulate the production cost of majo~ ethylene and p~oPylene de~ivatives. The regions conside~ed a~e: B~azil, Weste~n Canada, China, Indonesia. Japan. Saudi A... 95 78 B5 7B 142 65 95 95 63 92 p~oduction costs is to dete~mine a ~ep~esentative plant capacity. SRI evaluated a va~iety of plants, with ~espect to actual capacities, and dete~mined the ~ep~esentative size of wo~ld competitive capacity...

  1. Regional Summary Pacific Region Management Context

    E-Print Network [OSTI]

    , for the Eastern Pacific Ocean, and the Western and Central Pacific Fishery Commission, for the Western PacificRegional Summary Pacific Region Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  2. HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM

    E-Print Network [OSTI]

    HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM IN PENNSYLVANIA HYDROGEN REGIONAL INFRASTRUCTURE PROGRAM date ­ November 23, 2004 · Contract end date ­ March 31, 2006 #12;Hydrogen Regional Infrastructure Program in Pennsylvania Hydrogen Regional Infrastructure Program in Pennsylvania · Objectives ­ Capture

  3. U.S. Regional Demand Forecasts Using NEMS and GIS

    SciTech Connect (OSTI)

    Cohen, Jesse A.; Edwards, Jennifer L.; Marnay, Chris

    2005-07-01T23:59:59.000Z

    The National Energy Modeling System (NEMS) is a multi-sector, integrated model of the U.S. energy system put out by the Department of Energy's Energy Information Administration. NEMS is used to produce the annual 20-year forecast of U.S. energy use aggregated to the nine-region census division level. The research objective was to disaggregate this regional energy forecast to the county level for select forecast years, for use in a more detailed and accurate regional analysis of energy usage across the U.S. The process of disaggregation using a geographic information system (GIS) was researched and a model was created utilizing available population forecasts and climate zone data. The model's primary purpose was to generate an energy demand forecast with greater spatial resolution than what is currently produced by NEMS, and to produce a flexible model that can be used repeatedly as an add-on to NEMS in which detailed analysis can be executed exogenously with results fed back into the NEMS data flow. The methods developed were then applied to the study data to obtain residential and commercial electricity demand forecasts. The model was subjected to comparative and statistical testing to assess predictive accuracy. Forecasts using this model were robust and accurate in slow-growing, temperate regions such as the Midwest and Mountain regions. Interestingly, however, the model performed with less accuracy in the Pacific and Northwest regions of the country where population growth was more active. In the future more refined methods will be necessary to improve the accuracy of these forecasts. The disaggregation method was written into a flexible tool within the ArcGIS environment which enables the user to output the results in five year intervals over the period 2000-2025. In addition, the outputs of this tool were used to develop a time-series simulation showing the temporal changes in electricity forecasts in terms of absolute, per capita, and density of demand.

  4. Housing Archetype Analysis for Home Energy-Efficient Retrofit in the Great Lakes Region

    SciTech Connect (OSTI)

    Kim, S. K.; Mrozowski, T.; Harrell-Seyburn, A.; Ehrlich, N.; Hembroff, L.; Bieburn, B.; Mazor, M.; McIntyre, A.; Mutton, C.; Parsons, G.; Syal, M. G.; Wilkinson, R.

    2014-09-01T23:59:59.000Z

    This project report details activities and results of the 'Market Characterization' project undertaken by the Cost Effective Energy Retrofit (CEER) team targeted toward the DOE goal of achieving 30%-50% reduction in existing building energy use. CEER consists of members from the Dow Chemical Company, Michigan State University, Ferris State University and Habitat for Humanity Kent County. The purpose of this market characterization project was to identify housing archetypes which are dominant within Great Lakes region and therefore offer significant potential for energy-efficient retrofit research and implementation due to the substantial number of homes possessing similar characteristics. Understanding the characteristics of housing groups referred to as 'archetypes' by vintage, style, and construction characteristics can allow research teams to focus their retrofit research and develop prescriptive solutions for those structure types which are prevalent and offer high potential uptake within a region or market. Key research activities included; literature review, statistical analysis of national and regional data of the American Housing Survey (AHS) collected by the U.S. Census Bureau, analysis of Michigan specific data, development of a housing taxonomy of architectural styles, case studies of two local markets (i.e., Ann Arbor and Grand Rapids in Michigan) and development of a suggested framework (or process) for characterizing local markets. In order to gain a high level perspective, national and regional data from the U.S. Census Bureau was analyzed using cross tabulations, multiple regression models, and logistic regression to characterize the housing stock and determine dominant house types using 21 variables.

  5. An X-ray Census of Young Stars in the Massive Southern Star-Forming Complex NGC 6357

    E-Print Network [OSTI]

    Wang, J; Feigelson, E D; Getman, K V; Broos, P S; Garmire, G P; Tsujimoto, M; Wang, Junfeng; Townsley, Leisa K.; Feigelson, Eric D.; Getman, Konstantin V.; Broos, Patrick S.; Garmire, Gordon P.; Tsujimoto, Masahiro

    2006-01-01T23:59:59.000Z

    We present the first high spatial resolution X-ray study of the massive star forming region NGC 6357, obtained in a 38 ks Chandra/ACIS observation. Inside the brightest constituent of this large HII region complex is the massive open cluster Pismis 24. It contains two of the brightest and bluest stars known, yet remains poorly studied; only a handful of optically bright stellar members have been identified. We investigate the cluster extent and Initial Mass Function and detect ~800 X-ray sources with a limiting sensitivity of 10^{30} ergs s^{-1}; this provides the first reliable probe of the rich intermediate-mass and low-mass population of this massive cluster, increasing the number of known members from optical study by a factor of ~50. The high luminosity end (log L_h[2-8 keV]\\ge 30.3 ergs s^{-1}) of the observed X-ray luminosity function in NGC 6357 is clearly consistent with a power law relation as seen in the Orion Nebula Cluster and Cepheus B, yielding the first estimate of NGC 6357's total cluster pop...

  6. A9RB1B5.tmp

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

    has since fallen because of new production outages. Intermittent supply outages in Libya will most likely persist as the country faces political instability and a deteriorated...

  7. A9RB1B5.tmp

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil ElectricityUsing EIA's

  8. An X-ray Census of Young Stars in the Massive Southern Star-Forming Complex NGC 6357

    E-Print Network [OSTI]

    Junfeng Wang; Leisa K. Townsley; Eric D. Feigelson; Konstantin V. Getman; Patrick S. Broos; Gordon P. Garmire; Masahiro Tsujimoto

    2006-09-11T23:59:59.000Z

    We present the first high spatial resolution X-ray study of the massive star forming region NGC 6357, obtained in a 38 ks Chandra/ACIS observation. Inside the brightest constituent of this large HII region complex is the massive open cluster Pismis 24. It contains two of the brightest and bluest stars known, yet remains poorly studied; only a handful of optically bright stellar members have been identified. We investigate the cluster extent and Initial Mass Function and detect ~800 X-ray sources with a limiting sensitivity of 10^{30} ergs s^{-1}; this provides the first reliable probe of the rich intermediate-mass and low-mass population of this massive cluster, increasing the number of known members from optical study by a factor of ~50. The high luminosity end (log L_h[2-8 keV]\\ge 30.3 ergs s^{-1}) of the observed X-ray luminosity function in NGC 6357 is clearly consistent with a power law relation as seen in the Orion Nebula Cluster and Cepheus B, yielding the first estimate of NGC 6357's total cluster population, a few times the known Orion population. We investigate the structure of the cluster, finding small-scale substructures superposed on a spherical cluster with 6 pc extent, and discuss its relationship to the nebular morphology. The long-standing Lx - 10^{-7}L_{bol} correlation for O stars is confirmed. Twenty-four candidate O stars and one possible new obscured massive YSO or Wolf-Rayet star are presented. Many cluster members are estimated to be intermediate-mass stars from available infrared photometry (assuming an age of 1 Myr), but only a few exhibit K-band excess. We report the first detection of X-ray emission from an Evaporating Gaseous Globule at the tip of a molecular pillar; this source is likely a B0-B2 protostar.

  9. Northwest Regional Technology Center

    E-Print Network [OSTI]

    Northwest Regional Technology Center for Homeland Security The Northwest Regional Technology Center and deployment of technologies that are effective homeland security solutions for the region, and accelerate technology transfer to the national user community. Foster a collaborative spirit across agencies

  10. SITN Regional Outreach Map

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

    Region States in Region Awardee(s) Location of Awardee(s) Contact(s) Northeast (Photovoltaics) CT * ME * MA * NH NY * RI * VT Hudson Valley Community College Troy, NY Richard...

  11. " Million Housing Units, Final...

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

    Used and End Uses in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

  12. " Million Housing Units, Final...

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

    Used and End Uses in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

  13. " Million Housing Units, Final...

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

    Used and End Uses in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

  14. " Million Housing Units, Final...

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

    1 Space Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

  15. " Million Housing Units, Final...

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

    0 Space Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

  16. " Million Housing Units, Final...

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

    9 Space Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" " ",,,"East North Central Census...

  17. " Million Housing Units, Final...

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

    8 Space Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

  18. " Million Housing Units, Final...

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

    1 Computers and Other Electronics in Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census...

  19. " Million Housing Units, Final...

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

    0 Computers and Other Electronics in Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census...

  20. " Million Housing Units, Final...

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

    9 Computers and Other Electronics in Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

  1. " Million Housing Units, Final...

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

    8 Computers and Other Electronics in Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

  2. " Million Housing Units, Final...

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

    8 Water Heating in U.S. Homes in Northeast Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Northeast Census Region" ,,,"New England Census...

  3. " Million Housing Units, Final...

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

    11 Water Heating in U.S. Homes in West Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"West Census Region" ,,,"Mountain Census Division",,,"Pacific...

  4. " Million Housing Units, Final...

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

    9 Water Heating in U.S. Homes in Midwest Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"Midwest Census Region" ,,,"East North Central Census...

  5. " Million Housing Units, Final...

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

    0 Water Heating in U.S. Homes in South Region, Divisions, and States, 2009" " Million Housing Units, Final" ,,"South Census Region" ,,,"South Atlantic Census Division",,,,,,"East...

  6. Ultracompact HII Regions

    E-Print Network [OSTI]

    Stan Kurtz; Jose Franco

    2001-11-20T23:59:59.000Z

    We review some recent observational results on the properties of ultracompact HII regions, in particular the presence of extended continuum emission surrounding ultracompact sources and the discovery of a new class of so-called ``Hypercompact'' HII regions. In addition, we discuss recent attempts to probe the density structure within UC HII regions using the technique of spectral index analysis.

  7. CENSUS AND STATISTICAL CHARACTERIZATION OF SOIL AND WATER QUALITY AT ABANDONED AND OTHER CENTRALIZED AND COMMERCIAL DRILLING-FLUID DISPOSAL SITES IN LOUISIANA, NEW MEXICO, OKLAHOMA, AND TEXAS

    SciTech Connect (OSTI)

    Alan R. Dutton; H. Seay Nance

    2003-06-01T23:59:59.000Z

    Commercial and centralized drilling-fluid disposal (CCDD) sites receive a portion of spent drilling fluids for disposal from oil and gas exploration and production (E&P) operations. Many older and some abandoned sites may have operated under less stringent regulations than are currently enforced. This study provides a census, compilation, and summary of information on active, inactive, and abandoned CCDD sites in Louisiana, New Mexico, Oklahoma, and Texas, intended as a basis for supporting State-funded assessment and remediation of abandoned sites. Closure of abandoned CCDD sites is within the jurisdiction of State regulatory agencies. Sources of data used in this study on abandoned CCDD sites mainly are permit files at State regulatory agencies. Active and inactive sites were included because data on abandoned sites are sparse. Onsite reserve pits at individual wells for disposal of spent drilling fluid are not part of this study. Of 287 CCDD sites in the four States for which we compiled data, 34 had been abandoned whereas 54 were active and 199 were inactive as of January 2002. Most were disposal-pit facilities; five percent were land treatment facilities. A typical disposal-pit facility has fewer than 3 disposal pits or cells, which have a median size of approximately 2 acres each. Data from well-documented sites may be used to predict some conditions at abandoned sites; older abandoned sites might have outlier concentrations for some metal and organic constituents. Groundwater at a significant number of sites had an average chloride concentration that exceeded nonactionable secondary drinking water standard of 250 mg/L, or a total dissolved solids content of >10,000 mg/L, the limiting definition for underground sources of drinking water source, or both. Background data were lacking, however, so we did not determine whether these concentrations in groundwater reflected site operations. Site remediation has not been found necessary to date for most abandoned CCDD sites; site assessments and remedial feasibility studies are ongoing in each State. Remediation alternatives addressed physical hazards and potential for groundwater transport of dissolved salt and petroleum hydrocarbons that might be leached from wastes. Remediation options included excavation of wastes and contaminated adjacent soils followed by removal to permitted disposal facilities or land farming if sufficient on-site area were available.

  8. CREEL CENSUS AND EXPENDITURE STUDIES,

    E-Print Network [OSTI]

    ! LIBRARY JUN11 ib5b WOODS HOLE, MASS. SPECIAL SCIENTIFIC REPORT-FISHERIES No. 141 UNITED STATES DEPARTMENT

  9. http://www.census.gov/

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythemeansIHome * AboutEconomicFAQs

  10. CDKN-CARICOM-A Regional Implementation Plan for CARICOM's Regional...

    Open Energy Info (EERE)

    CARICOM-A Regional Implementation Plan for CARICOM's Regional Climate Change Resilience Framework Jump to: navigation, search Name CDKN-CARICOM-A Regional Implementation Plan for...

  11. CEMI Western Regional Summit

    Broader source: Energy.gov [DOE]

    Please Join Assistant Secretary of Energy Dr. David Danielson for the Clean Energy Manufacturing Initiative's Western Regional Summit. Register now for this free event.

  12. Regional Analysis Briefs

    Reports and Publications (EIA)

    2028-01-01T23:59:59.000Z

    Regional Analysis Briefs (RABs) provide an overview of specific regions that play an important role in world energy markets, either directly or indirectly. These briefs cover areas that are currently major producers (Caspian Sea), have geopolitical importance (South China Sea), or may have future potential as producers or transit areas (East Africa, Eastern Mediterranean).

  13. Chandra Study of the Cepheus B Star Forming Region: Stellar Populations and the Initial Mass Function

    E-Print Network [OSTI]

    Getman, K V; Feigelson, E D; Garmire, G; Townsley, L; Tsujimoto, M; Broos, Patrick; Feigelson, Eric D.; Garmire, Gordon; Getman, Konstantin V.; Townsley, Leisa; Tsujimoto, Masahiro

    2006-01-01T23:59:59.000Z

    Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, has been observed with the ACIS detector on board the Chandra X-ray Observatory. We detect 431 X-ray sources, of which 89% are confidently identified as clustered pre-main sequence stars. Two main results are obtained. First, we provide the best census to date for the stellar population of the region. We identify many members of two rich stellar clusters: the lightly obscured Cep OB3b association, and the deeply embedded cluster in Cep B whose existence was previously traced only by a handful of radio sources and T Tauri stars. Second, we find a discrepancy between the X-ray Luminosity Functions of the Cep OB3b and the Orion Nebula Cluster. This may be due to different Initial Mass Functions of two regions (excess of ~0.3 solar mass stars), or different age distributions. Several other results are obtained. A diffuse X-ray component seen in the field is attribut...

  14. Regional Districts (Texas)

    Broader source: Energy.gov [DOE]

    Adjacent Water Control and Improvement Districts and Municipal Utility Districts can opt to form a Regional District to oversee water issues. Such districts may be created:(1) to purchase, own,...

  15. Regional Carbon Sequestration Partnerships

    Broader source: Energy.gov [DOE]

    DOE has created a network of seven Regional Carbon Sequestration Partnerships (RCSPs) to help develop the technology, infrastructure, and regulations to implement large-scale CO2 storage (also...

  16. Northeast Regional Biomass Program

    SciTech Connect (OSTI)

    Lusk, P.D.

    1992-12-01T23:59:59.000Z

    The Northeast Regional Biomass Program has been in operation for a period of nine years. During this time, state managed programs and technical programs have been conducted covering a wide range of activities primarily aim at the use and applications of wood as a fuel. These activities include: assessments of available biomass resources; surveys to determine what industries, businesses, institutions, and utility companies use wood and wood waste for fuel; and workshops, seminars, and demonstrations to provide technical assistance. In the Northeast, an estimated 6.2 million tons of wood are used in the commercial and industrial sector, where 12.5 million cords are used for residential heating annually. Of this useage, 1504.7 mw of power has been generated from biomass. The use of wood energy products has had substantial employment and income benefits in the region. Although wood and woodwaste have received primary emphasis in the regional program, the use of municipal solid waste has received increased emphasis as an energy source. The energy contribution of biomass will increase as potentia users become more familiar with existing feedstocks, technologies, and applications. The Northeast Regional Biomass Program is designed to support region-specific to overcome near-term barriers to biomass energy use.

  17. Agricultural production in the United States by county: a compilation of information from the 1974 census of agriculture for use in terrestrial food-chain transport and assessment models

    SciTech Connect (OSTI)

    Shor, R.W.; Baes, C.F. III; Sharp, R.D.

    1982-01-01T23:59:59.000Z

    Terrestrial food-chain models that simulate the transport of environmentally released radionuclides incorporate parameters describing agricultural production and practice. Often a single set of default parameters, such as that listed in USNRC Regulatory Guide 1.109, is used in lieu of site-specific information. However, the geographical diversity of agricultural practice in the United States suggests the limitations of a single set of default parameters for assessment models. This report documents default parameters with a county-wide resolution based on analysis of the 1974 US Census of Agriculture for use in terrestrial food chain models. Data reported by county, together with state-based information from the US Department of Agriculture, Economic and Statistics Service, provided the basis for estimates of model input parameters. This report also describes these data bases, their limitations, and lists default parameters by county. Vegetable production is described for four categories: leafy vegetables; vegetables and fruits exposed to airborne material; vegetables, fruits, and nuts protected from airborne materials; and grains. Livestock feeds were analyzed in categories of hay, silage, pasture, and grains. Pasture consumption was estimated from cattle and sheep inventories, their feed requirements, and reported quantities of harvested forage. The results were compared with assumed yields of the pasture areas reported. In addition, non-vegetable food production estimates including milk, beef, pork, lamb, poultry, eggs, goat milk, and honey are described. The agricultural parameters and land use information - in all 47 items - are tabulated in four appendices for each of the 3067 counties of the US reported to the Census of Agriculture, excluding those in Hawaii and Alaska.

  18. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data;

  19. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional

  20. Regional Report Issue Paper

    E-Print Network [OSTI]

    Regional Report Introduction The economy of the United States is more than three and one-half years accounting for both increasing shares of the economy and of recessionary employment losses. Manufacturing, driven by globalization and advancing information technology. Recoveries now produce jobs new

  1. LEADERSHIP HANDBOOK FOR REGIONAL COMMUNITIES

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    LEADERSHIP HANDBOOK FOR REGIONAL COMMUNITIES JOHNS HOPKINS ALUMNI ASSOCIATION & THE OFFICE OF ALUMNI RELATIONS #12;Leadership Handbook for Regional Chapters 2 CONTENTS Contents .......................................................................................................................9 Chapter Leadership

  2. Regional Competitions - EERE Commercialization Office

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

    Runner-up Teams The Six Regional Competitions The Massachusetts Institute of Technology logo. Northeast Region Lead: Massachusetts Institute of Technology (Cambridge, MA) This...

  3. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J

  4. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6

  5. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA

  6. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels

  7. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of

  8. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality

  9. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and

  10. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost

  11. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950

  12. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category

  13. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution

  14. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8)

  15. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row:

  16. Regional Transportation Coordination Study

    E-Print Network [OSTI]

    Golden Crescent Regional Planning Commission

    Committee for this study. ? Develop a coordination public transportation plan ? Identify resources required to develop the plan ? Provide policy guidance to lead the planning and coordination effort Golden Crescent Regional Transit 1... of Texas. This resource will be relied upon for further development of the Intermodal Transportation Terminal. ? FTA Section 5309 (Bus) Discretionary Support ? To assist in meeting the GCRPC?s capital replacement needs. This resource...

  17. Chandra Study of the Cepheus B Star Forming Region: Stellar Populations and the Initial Mass Function

    E-Print Network [OSTI]

    Konstantin V. Getman; Eric D. Feigelson; Leisa Townsley; Patrick Broos; Gordon Garmire; Masahiro Tsujimoto

    2006-01-18T23:59:59.000Z

    Cepheus B (Cep B) molecular cloud and a portion of the nearby Cep OB3b OB association, one of the most active regions of star formation within 1 kpc, has been observed with the ACIS detector on board the Chandra X-ray Observatory. We detect 431 X-ray sources, of which 89% are confidently identified as clustered pre-main sequence stars. Two main results are obtained. First, we provide the best census to date for the stellar population of the region. We identify many members of two rich stellar clusters: the lightly obscured Cep OB3b association, and the deeply embedded cluster in Cep B whose existence was previously traced only by a handful of radio sources and T Tauri stars. Second, we find a discrepancy between the X-ray Luminosity Functions of the Cep OB3b and the Orion Nebula Cluster. This may be due to different Initial Mass Functions of two regions (excess of ~0.3 solar mass stars), or different age distributions. Several other results are obtained. A diffuse X-ray component seen in the field is attributed to the integrated emission of unresolved low mass PMS stars. The X-ray emission from HD 217086 (O7n), the principle ionizing source of the region, follows the standard model involving many small shocks in an unmagnetized radiatively accelerated wind. The X-ray source #294 joins a number of similar superflare PMS stars where long magnetic structures may connect the protoplanetary disk to the stellar surface.

  18. CENSUS","FIPST","OWNER","PMOVER","FUELTYP","COCODE","PLTCODE","UTILNAME","PLTNAM

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS8) Distribution Category UC-950 Cost and Quality of Fuels forA 6 J 9Decade2,128

  19. Regional Energy Baseline 

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J.C.; Haberl, J.

    2011-01-01T23:59:59.000Z

    ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

  20. Regional Energy Baseline

    E-Print Network [OSTI]

    Kim, H.; Baltazar, J.C.; Haberl, J.

    ESL-TR-11-09-02 REGIONAL ENERGY BASELINE (1960 ~ 2009) 0 100 200 300 400 500 600 700 800 1960 1965 1970 1975 1980 1985 1990 1995 2000 2005 To tal En erg y U se pe r C ap ita (M MB tu) Year Total Energy... Use per Capita (1960-2009) US SEEC 12-States TX Hyojin Kim Juan-Carlos Baltazar, Ph.D. Jeff S. Haberl, Ph.D., P.E. September 2011 ENERGY SYSTEMS LABORATORY Texas Engineering Experiment Station Texas A&M University...

  1. Regional companies eye growth

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently Approved JustificationBio-Inspired PowerRegional companies eye

  2. THE BLAST VIEW OF THE STAR-FORMING REGION IN AQUILA (l = 45{sup 0}, b = 0{sup 0})

    SciTech Connect (OSTI)

    Rivera-Ingraham, Alana; Martin, Peter G.; Netterfield, Calvin B. [Department of Astronomy and Astrophysics, University of Toronto, 50 St. George Street, Toronto, ON M5S 3H4 (Canada); Ade, Peter A. R.; Griffin, Matthew; Hargrave, Peter C.; Mauskopf, Philip [Department of Physics and Astronomy, Cardiff University, 5 The Parade, Cardiff, CF24 3AA (United Kingdom); Bock, James J. [Jet Propulsion Laboratory, Pasadena, CA 91109-8099 (United States); Chapin, Edward L.; Halpern, Mark; Marsden, Gaelen; Scott, Douglas [Department of Physics and Astronomy, University of British Columbia, 6224 Agricultural Road, Vancouver, BC V6T 1Z1 (Canada); Devlin, Mark J.; Dicker, Simon R.; Klein, Jeff; Rex, Marie [Department of Physics and Astronomy, University of Pennsylvania, 209 South 33rd Street, Philadelphia, PA 19104 (United States); Gundersen, Joshua O. [Department of Physics, University of Miami, 1320 Campo Sano Drive, Carol Gables, FL 33146 (United States); Hughes, David H. [Instituto Nacional de Astrofisica Optica y Electronica (INAOE), Aptdo. Postal 51 y 72000 Puebla (Mexico); Olmi, Luca [University of Puerto Rico, Rio Piedras Campus, Physics Department, Box 23343, UPR Station, San Juan (Puerto Rico); Patanchon, Guillaume [Laboratoire APC, 10, rue Alice Domon et Leonie Duquet, 75205 Paris (France)

    2010-11-01T23:59:59.000Z

    We have carried out the first general submillimeter analysis of the field toward GRSMC 45.46+0.05, a massive star-forming region in Aquila. The deconvolved 6 deg{sup 2} (3{sup 0} x 2{sup 0}) maps provided by BLAST in 2005 at 250, 350, and 500 {mu}m were used to perform a preliminary characterization of the clump population previously investigated in the infrared, radio, and molecular maps. Interferometric CORNISH data at 4.8 GHz have also been used to characterize the Ultracompact H II regions (UCHIIRs) within the main clumps. By means of the BLAST maps, we have produced an initial census of the submillimeter structures that will be observed by Herschel, several of which are known Infrared Dark Clouds. Our spectral energy distributions of the main clumps in the field, located at {approx}7 kpc, reveal an active population with temperatures of T{approx} 35-40 K and masses of {approx}10{sup 3} M{sub sun} for a dust emissivity index {beta} = 1.5. The clump evolutionary stages range from evolved sources, with extended H II regions and prominent IR stellar population, to massive young stellar objects, prior to the formation of an UCHIIR. The CORNISH data have revealed the details of the stellar content and structure of the UCHIIRs. In most cases, the ionizing stars corresponding to the brightest radio detections are capable of accounting for the clump bolometric luminosity, in most cases powered by embedded OB stellar clusters.

  3. Colorado Regional Faults

    SciTech Connect (OSTI)

    Hussein, Khalid

    2012-02-01T23:59:59.000Z

    Citation Information: Originator: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Originator: Colorado Geological Survey (CGS) Publication Date: 2012 Title: Regional Faults Edition: First Publication Information: Publication Place: Earth Science & Observation Center, Cooperative Institute for Research in Environmental Science, University of Colorado, Boulder Publisher: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Description: This layer contains the regional faults of Colorado Spatial Domain: Extent: Top: 4543192.100000 m Left: 144385.020000 m Right: 754585.020000 m Bottom: 4094592.100000 m Contact Information: Contact Organization: Earth Science &Observation Center (ESOC), CIRES, University of Colorado at Boulder Contact Person: Khalid Hussein Address: CIRES, Ekeley Building Earth Science & Observation Center (ESOC) 216 UCB City: Boulder State: CO Postal Code: 80309-0216 Country: USA Contact Telephone: 303-492-6782 Spatial Reference Information: Coordinate System: Universal Transverse Mercator (UTM) WGS’1984 Zone 13N False Easting: 500000.00000000 False Northing: 0.00000000 Central Meridian: -105.00000000 Scale Factor: 0.99960000 Latitude of Origin: 0.00000000 Linear Unit: Meter Datum: World Geodetic System 1984 (WGS ’984) Prime Meridian: Greenwich Angular Unit: Degree Digital Form: Format Name: Shape file

  4. Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care

    E-Print Network [OSTI]

    Shihadeh, Alan

    Executive Master in Innovative . Flexible . RegionalInnovative . Flexible . Regional Health Care Learning Outcomes Health Systems, Policy and Reform - Communicating with Policy Makers - Evidence - Human Resources Management - Data and Decision Making Executive Master in Health Care Leadership (EMHCL

  5. Southern Region Watershed Management Project

    E-Print Network [OSTI]

    Coordinators and the organization, management and activities of the Southern Region Water Quality Planning1 Southern Region Watershed Management Project September 15, 2000 to September 14, 2005 Terminal responding to water quality and conservation issues with educational assistance, technology development

  6. Regional Summary Pacific Management Context

    E-Print Network [OSTI]

    . Bocaccio, Pacific ocean perch, cowcod, and darkblotched and widow rockfish are currently in rebuildingRegional Summary Pacific Management Context The Pacific Region includes California, Oregon, and Washington. Federal fisheries in this region are managed by the Pacific Fishery Management Council (PFMC

  7. 6, 1332313366, 2006 Regional pollution

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 6, 13323­13366, 2006 Regional pollution potentials of major population centers M. G. Lawrence a Creative Commons License. Atmospheric Chemistry and Physics Discussions Regional pollution potentials. Lawrence (lawrence@mpch-mainz.mpg.de) 13323 #12;ACPD 6, 13323­13366, 2006 Regional pollution potentials

  8. Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic

    E-Print Network [OSTI]

    Understanding Regional Economic Growth in IndiaUnderstanding Regional Economic Growth in India Understanding Regional Economic Growth in India* Jeffrey D. Sachs Director The Earth Institute at Columbia_ramiah@yahoo.co.uk Asian Economic Papers 1:3 © 2002 The Earth Institute at Columbia University and the Massachusetts

  9. A CENSUS OF ROTATION AND VARIABILITY IN L1495: A UNIFORM ANALYSIS OF TRANS-ATLANTIC EXOPLANET SURVEY LIGHT CURVES FOR PRE-MAIN-SEQUENCE STARS IN TAURUS

    SciTech Connect (OSTI)

    Xiao Hongyu; Covey, Kevin R.; Lloyd, James P. [Department of Astronomy, Cornell University, 226 Space Sciences Building, Ithaca, NY 14853 (United States); Rebull, Luisa [Spitzer Science Center/Caltech, M/S 220-6, 1200 East California Boulevard, Pasadena, CA 91125 (United States); Charbonneau, David [Department of Astronomy, Harvard University, 60 Garden Street, Cambridge, MA 02138 (United States); Mandushev, Georgi [Lowell Observatory, 1400 West Mars Hill Road, Flagstaff, AZ 86001 (United States); O'Donovan, Francis; Slesnick, Catherine [Astronomy Department, California Institute of Technology, 1200 East California Boulevard, Pasadena, CA 91125 (United States)

    2012-09-15T23:59:59.000Z

    We analyze light curves obtained by the Trans-atlantic Exoplanet Survey (TrES) for a field centered on the L1495 dark cloud in Taurus. The Spitzer Taurus Legacy Survey catalog identifies 179 bona fide Taurus members within the TrES field; 48 of the known Taurus members are detected by TrES, as well as 26 candidate members identified by the Spitzer Legacy team. We quantify the variability of each star in our sample using the ratio of the standard deviation of the original light curve ({sigma}{sub orig.}) to the standard deviation of a light curve that has been smoothed by 9 or 1001 epochs ({sigma}{sub 9} and {sigma}{sub 1001}, respectively). Known Taurus members typically demonstrate ({sigma}{sub orig.}/{sigma}{sub 9}) < 2.0, and ({sigma}{sub orig.}/{sigma}{sub 1001}) < 5, while field stars reveal ({sigma}{sub orig.}/{sigma}{sub 9}) {approx} 3.0 and ({sigma}{sub orig.}/{sigma}{sub 1001}) {approx} 10, as expected for light curves dominated by unstructured white noise. Of the 74 Taurus members/candidates with TrES light curves, we detect significant variability in 49 sources. Adapting a quantitative metric originally developed to assess the reliability of transit detections, we measure the amount of red and white noise in each light curve and identify 18 known or candidate Taurus members with highly significant period measurements. These appear to be the first periods measured for four of these sources (HD 282276, CX Tau, FP Tau, TrES J042423+265008), and in two other cases, the first non-aliased periods (LkCa 21 and DK Tau AB). For the remainder, the TrES measurements typically agree very well ({delta}P < 1%) with previously reported values. Including periods measured at lower confidence for 15 additional sources, we report periods for 11 objects where no previous periods were found, including 8 confirmed Taurus members. We also identify 10 of the 26 candidate Taurus members that demonstrate variability levels consistent with being bona fide T Tauri stars. A Kolomgorov-Smirnov (K-S) test confirms that these new periods confirm the distinction between the rotation period distributions of stars with and without circumstellar disks, with only a 10% probability of the two populations sharing the same parent period distribution. K-S tests do suggest, however, that the updated Taurus period distribution now more closely resembles those measured in other young star-forming clusters (i.e., NGC 2264, NGC 6530, and the ONC). This improved agreement may reflect the exclusion of long rotation periods which are detected in Taurus at lower significance, and which may be beyond the limits of detectability in more distant star-forming regions.

  10. Coordinated Regional Public Transportation Plan: Heart of Texas Region

    E-Print Network [OSTI]

    Heart of Texas Council of Governments

    2006-12-01T23:59:59.000Z

    Coordinated Regional Public Transportation Plan Heart of Texas Region Bosque, Falls, Freestone, Hill, Limestone & McLennan Counties December 1, 2006 TABLE OF CONTENTS Acknowledgements... of Texas Council of Governments (HOTCOG) and the McLennan County Youth Collaboration (MCYC) ---21 Central Texas Senior Ministries (CTSM), Hill County Transit (HCT) and Scott and White (S&W) Medical Facilities...

  11. Categorical Exclusion Determinations: B5.13 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:

  12. Categorical Exclusion Determinations: B5.14 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat and

  13. Categorical Exclusion Determinations: B5.15 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat and5:

  14. Categorical Exclusion Determinations: B5.16 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat and5:6:

  15. Categorical Exclusion Determinations: B5.17 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat

  16. Categorical Exclusion Determinations: B5.18 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat8: Wind

  17. Categorical Exclusion Determinations: B5.19 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat8:

  18. Categorical Exclusion Determinations: B5.2 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat8:2:

  19. Categorical Exclusion Determinations: B5.20 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat8:2:0:

  20. Categorical Exclusion Determinations: B5.21 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined heat8:2:0:1:

  1. Categorical Exclusion Determinations: B5.22 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined

  2. Categorical Exclusion Determinations: B5.23 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3: Electric

  3. Categorical Exclusion Determinations: B5.24 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3: Electric4:

  4. Categorical Exclusion Determinations: B5.25 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:

  5. Categorical Exclusion Determinations: B5.3 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:

  6. Categorical Exclusion Determinations: B5.4 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:4: Repair

  7. Categorical Exclusion Determinations: B5.5 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:4:

  8. Categorical Exclusion Determinations: B5.6 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:4:6: Oil

  9. Categorical Exclusion Determinations: B5.7 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:4:6: Oil7:

  10. Categorical Exclusion Determinations: B5.8 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:4:6:

  11. Categorical Exclusion Determinations: B5.9 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742Energy China U.S. Department ofJuneWaste To: Changing rates and prices1:4: Combined3:3:4:6:9:

  12. Regional Energy Efficiency Programs | Department of Energy

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

    Programs Regional Energy Efficiency Programs This presentation covers regional industrial energy efficiency programs in the Midwest, Southeast, and Southwest. Regional Energy...

  13. PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS

    E-Print Network [OSTI]

    Jiang, Huiqiang

    AND COMMUNITIES PITTSBURGH, PA. | AUGUST 2013 #12;PRETA AIR: HAZARDOUS AIR POLLUTANTS 32 PITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS REPORT PRETA AIR: HAZARDOUS AIR POLLUTANTS (HAPs)/AIR TOXICS PREPARED BY AUTHORSPITTSBURGH REGIONAL ENVIRONMENTAL THREATS ANALYSIS (PRETA) REPORT PRETA AIR: HAZARDOUS AIR

  14. 1, 497531, 2004 Regional hydrology

    E-Print Network [OSTI]

    Boyer, Edmond

    BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al hydrology controls stream microbial biofilms: evidence from a glacial catchment T. J. Battin1, , A. Wille2@pflaphy.pph.univie.ac.at) 497 #12;BGD 1, 497­531, 2004 Regional hydrology controls stream microbial biofilms T. J. Battin et al

  15. REGIONAL WATER SUPPLY PLANNING AND

    E-Print Network [OSTI]

    Mays, Larry W.

    CHAPTER 3 REGIONAL WATER SUPPLY PLANNING AND CAPACITY EXPANSION MODELS Messele Z. Ejeta California Department of Water Resources Sacramento, California Larry W. Mays Department of Civil and Environmental Engineering Arizona State University Tempe, Arizona 3.1 INTRODUCTION Water supply planning on a regional scale

  16. Presentation of Regional SDSN Center

    E-Print Network [OSTI]

    Garulli, Andrea

    ;Conference topics: Pollution in the Mediterranean sea Climate change Improving the management Energy#12;Presentation of UN SDSN and MED SDSN Regional SDSN Center for the Mediterranean Region #12;UN for the Mediterranean Basin Why a Mediterranean Network? Shared history Shared environment Shared future MED

  17. The Project The Southern Region Water Quality Regional Coordination Project is designed to promote regional collaboration,

    E-Print Network [OSTI]

    The Project The Southern Region Water Quality Regional Coordination Project is designed to promote to protect and restore water resources. Effective approaches for watershed management, pollution prevention to the research, extension and education resources available through the Land Grant University System

  18. Clean Energy Manufacturing Initiative Midwest Regional Summit...

    Office of Environmental Management (EM)

    Clean Energy Manufacturing Initiative Midwest Regional Summit: Lightweighting Breakout Session Summary Clean Energy Manufacturing Initiative Midwest Regional Summit: Lightweighting...

  19. Regional Public Coordination Transportation Plan Texoma Region #22

    E-Print Network [OSTI]

    Texoma Council of Governments

    2006-12-01T23:59:59.000Z

    in conjunction with TxDOT to increase public awareness of the project. As an integral part of this project, each of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public... Sherman TAPS TAPS TAPS operates in seven (7) counties, with three (3) of the counties in the Texoma Region. TAPS services include demand response, commuter bus services and special services. Square Miles Population ?00 Rider Trips ?05 Clay 1...

  20. Pacific Islands Region News Release

    E-Print Network [OSTI]

    Pacific Islands Region News Release Contact: Wende Goo FOR IMMEDIATE RELEASE 808-721-4098 May 27 of these unique twins by contributing more than 100 hours of work to construct a holding pen for the young seal

  1. Council's Regional Hydropower Potential Scoping

    E-Print Network [OSTI]

    Council's Regional Hydropower Potential Scoping Study Generating Resources Advisory Committee 11 to determine potential, and draw conclusions Determine if realistic, reasonable assumption for hydropower at existing non-powered dams, and upgrades at existing hydropower facilities #12;Questions Asked Can

  2. Anomalous Emission from HII regions

    E-Print Network [OSTI]

    C. Dickinson

    2008-08-04T23:59:59.000Z

    Spinning dust appears to be the best explanation for the anomalous emission that has been observed at $\\sim 10-60$ GHz. One of the best examples of spinning dust comes from a HII region in the Perseus molecular cloud. Observations of other HII regions also show tentative evidence for excess emission at frequencies $\\sim 30$ GHz, although at lower emissivity levels. A new detection of excess emission at 31 GHz in the HII region RCW175 has been made. The most plausible explanation again comes from spinning dust. HII regions are a good place to look for spinning dust as long as accurate radio data spanning the $\\sim 5-100$ GHz range is available.

  3. RAFT Regional Algal Feedstock Testbed

    Broader source: Energy.gov [DOE]

    Breakout Session 3B—Integration of Supply Chains III: Algal Biofuels Strategy RAFT Regional Algal Feedstock Testbed Kimberly Ogden, Professor, University of Arizona, Engineering Technical Lead, National Alliance for Advanced Biofuels and Bioproducts

  4. Regional 166 Direct Loan (Ohio)

    Broader source: Energy.gov [DOE]

    The Ohio Development Services Agency's (ODSA) Regional 166 Direct Loan provides low-interest loans to businesses creating new jobs or preserving existing employment opportunities in the State of Ohio.

  5. Coverage statistics for sequence census methods

    E-Print Network [OSTI]

    Evans, Steven N; Hower, Valerie; Pachter, Lior

    2010-01-01T23:59:59.000Z

    Nature Methods 2008, 5:19-21. Hower V, Evans SN, Pachter L:N Evans 1,2 , Valerie Hower 1* , Lior Pachter 1,3 Abstract

  6. Regional Transmission Projects: Finding Solutions

    SciTech Connect (OSTI)

    The Keystone Center

    2005-06-15T23:59:59.000Z

    The Keystone Center convened and facilitated a year-long Dialogue on "Regional Transmission Projects: Finding Solutions" to develop recommendations that will help address the difficult and contentious issues related to expansions of regional electric transmission systems that are needed for reliable and economic transmission of power within and across regions. This effort brought together a cross-section of affected stakeholders and thought leaders to address the problem with the collective wisdom of their experience and interests. Transmission owners sat at the table with consumer advocates and environmental organizations. Representatives from regional transmission organizations exchanged ideas with state and federal regulators. Generation developers explored common interests with public power suppliers. Together, the Dialogue participants developed consensus solutions about how to begin unraveling some of the more intractable issues surrounding identification of need, allocation of costs, and reaching consensus on siting issues that can frustrate the development of regional transmission infrastructure. The recommendations fall into three broad categories: 1. Recommendations on appropriate institutional arrangements and processes for achieving regional consensus on the need for new or expanded transmission infrastructure 2. Recommendations on the process for siting of transmission lines 3. Recommendations on the tools needed to support regional planning, cost allocation, and siting efforts. List of Dialogue participants: List of Dialogue Participants: American Electric Power American Transmission Company American Wind Energy Association California ISO Calpine Corporation Cinergy Edison Electric Institute Environmental Defense Federal Energy Regulatory Commission Great River Energy International Transmission Company ISO-New England Iowa Public Utility Board Kanner & Associates Midwest ISO National Association of Regulatory Utility Commissioners National Association of State Utility Consumer Advocates National Grid Northeast Utilities PA Office of Consumer Advocates Pacific Gas & Electric Corporation Pennsylvania Public Utility Commission PJM Interconnection The Electricity Consumers Resource Council U.S. Department of Energy US Department of the Interior Van Ness Feldman Western Interstate Energy Board Wind on the Wires Wisconsin Public Service Commission Xcel Energy

  7. Regional

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level:Energy: Grid Integration Redefining What's PossibleRadiation Protection RadiationRecord-SettingHead5 IdleRegardingIndustrial Technologies|3

  8. Southeast Texas Region Regional Public Transportation Coordination Plan

    E-Print Network [OSTI]

    Southeast Texas Regional Planning Commission

    Providers Public transportation in the southeast Texas region includes primarily demand- response service, with two localities managing fixed-route systems. Table 2 identifies the transportation providers within the region. The major transportation... citywide bus services with eleven local routes. PAT operates from 6:15am to 6:15pm five days a week. Annual ridership for BMT totaled 671,420 fixed route and 22,155 demand response trips in 2005, while PAT ridership reached 116,632 fixed route and 20...

  9. " Million Housing Units, Final...

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

    7 Space Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Space...

  10. " Million Housing Units, Final...

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

    7 Computers and Other Electronics in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South"...

  11. " Million Housing Units, Final...

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

    7 Water Heating in U.S. Homes, by Census Region, 2009" " Million Housing Units, Final" ,,"Census Region" ,"Total U.S.1 (millions)" ,,"Northeast","Midwest","South","West" "Water...

  12. Regions for Select Spot Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements Recently Approved JustificationBio-Inspired PowerRegional companiesRegions

  13. EE Regional Technology Roadmap Includes comparison

    E-Print Network [OSTI]

    EE Regional Technology Roadmap Includes comparison against 6th Power Plan (Update cyclically Data Clearinghouse BPA/RTF NEEA/Regional Programs Group Update Regional EE Technology Roadmap Lighting

  14. Panhandle Region Transportation Coordination Study

    E-Print Network [OSTI]

    Panhandle Regional Transportation Advisory Group

    drivers; shared office staff with PCS Schedule for out of county trips Amarillo MWF Notes on Service Provided Medicaid to Amarillo M-F; school trips M-F; Hereford Satellite Center; some trips to Hereford Senior Center and nursing homes Table 2............................................................................................................................ 2-5 Health and Human Services Organizations ................................................................................. 2-9 History of Regional Coordination of Public Transportation .................................................... 2...

  15. Regional Systems Development for Geothermal Energy Resources...

    Open Energy Info (EERE)

    Jump to: navigation, search OpenEI Reference LibraryAdd to library Report: Regional Systems Development for Geothermal Energy Resources Pacific Region (California and Hawaii)....

  16. Clean Cities Regional Support & Petroleum Displacement Awards...

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

    Regional Support & Petroleum Displacement Awards Clean Cities Regional Support & Petroleum Displacement Awards 2009 DOE Hydrogen Program and Vehicle Technologies Program Annual...

  17. Texas State Planning Region 3 Report of Regional Transportation Coordination

    E-Print Network [OSTI]

    Nortex Regional Planning Commission

    2006-12-01T23:59:59.000Z

    of the 24 regions studying public transportation in their area was charged with assessing Barriers, Constraints and Best Practices in public transportation. This Coordination Committee addressed this issue with enthusiasm, generating significant topics...DOT requirement that all vehicles be ADA compliant, Medicaid restrictions and Insurance as significant barriers to public transportation. Best practices included sharing of information regarding this project through publication in rural newspapers, inter...

  18. Regional Slip Tendency Analysis of the Great Basin Region

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

    Faulds, James E.

    - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

  19. Southeast Regional Carbon Sequestration Partnership

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2006-08-30T23:59:59.000Z

    The Southeast Regional Carbon Sequestration Partnership's (SECARB) Phase I program focused on promoting the development of a framework and infrastructure necessary for the validation and commercial deployment of carbon sequestration technologies. The SECARB program, and its subsequent phases, directly support the Global Climate Change Initiative's goal of reducing greenhouse gas intensity by 18 percent by the year 2012. Work during the project's two-year period was conducted within a ''Task Responsibility Matrix''. The SECARB team was successful in accomplishing its tasks to define the geographic boundaries of the region; characterize the region; identify and address issues for technology deployment; develop public involvement and education mechanisms; identify the most promising capture, sequestration, and transport options; and prepare action plans for implementation and technology validation activity. Milestones accomplished during Phase I of the project are listed below: (1) Completed preliminary identification of geographic boundaries for the study (FY04, Quarter 1); (2) Completed initial inventory of major sources and sinks for the region (FY04, Quarter 2); (3) Completed initial development of plans for GIS (FY04, Quarter 3); (4) Completed preliminary action plan and assessment for overcoming public perception issues (FY04, Quarter 4); (5) Assessed safety, regulatory and permitting issues (FY05, Quarter 1); (6) Finalized inventory of major sources/sinks and refined GIS algorithms (FY05, Quarter 2); (7) Refined public involvement and education mechanisms in support of technology development options (FY05, Quarter 3); and (8) Identified the most promising capture, sequestration and transport options and prepared action plans (FY05, Quarter 4).

  20. Developing a Regional Recovery Framework

    SciTech Connect (OSTI)

    Lesperance, Ann M.; Olson, Jarrod; Stein, Steven L.; Clark, Rebecca; Kelly, Heather; Sheline, Jim; Tietje, Grant; Williamson, Mark; Woodcock, Jody

    2011-09-01T23:59:59.000Z

    Abstract A biological attack would present an unprecedented challenge for local, state, and federal agencies; the military; the private sector; and individuals on many fronts ranging from vaccination and treatment to prioritization of cleanup actions to waste disposal. To prepare the Seattle region to recover from a biological attack, the Seattle Urban Area Security Initiative (UASI) partners collaborated with military and federal agencies to develop a Regional Recovery Framework for a Biological Attack in the Seattle Urban Area. The goal was to reduce the time and resources required to recover and restore wide urban areas, military installations, and other critical infrastructure following a biological incident by providing a coordinated systems approach. Based on discussions in small workshops, tabletop exercises, and interviews with emergency response agency staff, the partners identified concepts of operation for various areas to address critical issues the region will face as recovery progresses. Key to this recovery is the recovery of the economy. Although the Framework is specific to a catastrophic, wide-area biological attack using anthrax, it was designed to be flexible and scalable so it could also serve as the recovery framework for an all-hazards approach. The Framework also served to coalesce policy questions that must be addressed for long-term recovery. These questions cover such areas as safety and health, security, financial management, waste management, legal issues, and economic development.

  1. West Central Texas Regional Transportation Final Report 

    E-Print Network [OSTI]

    West Central Texas Council of Governments

    2006-01-01T23:59:59.000Z

    WEST CENTRAL TEXAS REGIONAL REGIONAL TRANSPORTATION TRANSPORTATION FINAL REPORT NOVEMBER 2006 West Central Texas Regional Transit Coordination Plan Final Report and Executive Summary November 2006 A&R Consulting The Goodman... Workshops 177 Appendix C - Public Meetings 183 West Central Texas Regional Transit Coordination Plan Final Report and Executive Summary November 2006 A&R Consulting The Goodman Corporation November 2006 3 EXECUTIVE SUMMARY...

  2. U.S. Energy Information Administration (EIA) - Pub

    Gasoline and Diesel Fuel Update (EIA)

    Annual Energy Outlook 2013 cases Appendix F: Regional Maps United States Census Divisions Electricity Market Module Regions Liquid Fuels Market Module Regions Oil and Gas Supply...

  3. Regional Slip Tendency Analysis of the Great Basin Region

    SciTech Connect (OSTI)

    Faulds, James E.

    2013-09-30T23:59:59.000Z

    Slip and dilation tendency on the Great Basin fault surfaces (from the USGS Quaternary Fault Database) were calculated using 3DStress (software produced by Southwest Research Institute). Slip and dilation tendency are both unitless ratios of the resolved stresses applied to the fault plane by the measured ambient stress field. - Values range from a maximum of 1 (a fault plane ideally oriented to slip or dilate under ambient stress conditions) to zero (a fault plane with no potential to slip or dilate). - Slip and dilation tendency values were calculated for each fault in the Great Basin. As dip is unknown for many faults in the USGS Quaternary Fault Database, we made these calculations using the dip for each fault that would yield the maximum slip or dilation tendency. As such, these results should be viewed as maximum slip and dilation tendency. - The resulting along?fault and fault?to?fault variation in slip or dilation potential is a proxy for along fault and fault?to?fault variation in fluid flow conduit potential. Stress Magnitudes and directions were calculated across the entire Great Basin. Stress field variation within each focus area was approximated based on regional published data and the world stress database (Hickman et al., 2000; Hickman et al., 1998 Robertson?Tait et al., 2004; Hickman and Davatzes, 2010; Davatzes and Hickman, 2006; Blake and Davatzes 2011; Blake and Davatzes, 2012; Moeck et al., 2010; Moos and Ronne, 2010 and Reinecker et al., 2005). The minimum horizontal stress direction (Shmin) was contoured, and spatial bins with common Shmin directions were calculated. Based on this technique, we subdivided the Great Basin into nine regions (Shmin <070, 070140). Slip and dilation tendency were calculated using 3DStress for the faults within each region using the mean Shmin for the region. Shmin variation throughout Great Basin are shown on Figure 3. For faults within the Great Basin proper, we applied a normal faulting stress regime, where the vertical stress (sv) is larger than the maximum horizontal stress (shmax), which is larger than the minimum horizontal stress (sv>shmax>shmin). Based on visual inspection of the limited stress magnitude data in the Great Basin, we used magnitudes such that shmin/shmax = .527 and shmin/sv= .46. These values are consistent with stress magnitude data at both Dixie Valley (Hickman et al., 2000) and Yucca Mountain (Stock et al., 1985). For faults within the Walker Lane/Eastern California Shear Zone, we applied a strike?slip faulting stress, where shmax > sv > shmin. Upon visual inspection of limited stress magnitude data from the Walker Lane and Eastern California Shear zone, we chose values such that SHmin/SHmax = .46 and Shmin/Sv= .527 representative of the region. Results: The results of our slip and dilation tendency analysis are shown in Figures 4 (dilation tendency), 5 (slip tendency) and 6 (slip tendency + dilation tendency). Shmin varies from northwest to east?west trending throughout much of the Great Basin. As such, north? to northeast?striking faults have the highest tendency to slip and to dilate, depending on the local trend of shmin. These results provide a first order filter on faults and fault systems in the Great Basin, affording focusing of local?scale exploration efforts for blind or hidden geothermal resources.

  4. Geothermal Regions | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEI Reference LibraryAdd to libraryOpen EnergyInformation|Regions

  5. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L. [Sandia National Labs., Albuquerque, NM (United States). Nonproliferation and Arms Control Analysis Dept.

    1996-11-01T23:59:59.000Z

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations. Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  6. http://2010.census.gov/2010census/data/apportionment-dens-text.

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythe InteriorWaterhepf |0/%2A

  7. Enhancing regional security agreements through cooperative monitoring

    SciTech Connect (OSTI)

    Pregenzer, A.L.

    1995-05-01T23:59:59.000Z

    This paper proposes that strengthening regional capabilities for formulating and implementing arms control and confidence-building measures is a tangible method of enhancing regional security. It discusses the importance of developing a regional infrastructure for arms control and confidence building and elucidates the role of technology in facilitating regional arms control and confidence-building agreements. In addition, it identifies numerous applications for regional cooperative monitoring in the areas of arms control, resource management, international commerce and disaster response. The Cooperative Monitoring Center at Sandia National Laboratories, whose aim is to help individual countries and regions acquire the tools they need to develop their own solutions to regional problems, is discussed briefly. The paper ends with recommendations for establishing regional cooperative monitoring centers.

  8. REALIZATION OF THE REGIONAL ADVANTAGEOUS AGRICULTURAL

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    REALIZATION OF THE REGIONAL ADVANTAGEOUS AGRICULTURAL INDUSTRIES ANALYSIS SYSTEM Kaimeng Sun Institute of Agricultural Information, Chinese Academy of Agricultural Sciences, Beijing,P. R. China 100081 Abstract: In this paper, a system for analyzing the strategic adjustment of regional agricultural

  9. DC High School Science Bowl Regionals

    Broader source: Energy.gov [DOE]

    This event is the Washington, D.C. High School Regional competition for the US National Science Bowl. The regional competition is run by the Office of Economic Impact and Diversity, and the...

  10. Regional Revolving Loan Trust Fund (New York)

    Broader source: Energy.gov [DOE]

    The Regional Revolving Loan Trust Fund Program, coordinated by the Empire State Development program, is operated in six regions by nonprofit organizations and provides working capital loans (up to ...

  11. Sandia National Laboratories: Photovoltaic Regional Testing Center...

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

    Grid Integration, Modeling, Modeling & Analysis, News, News & Events, Partnership, Photovoltaic, Photovoltaic Regional Testing Center (PV RTC), Photovoltaic Systems Evaluation...

  12. 6, 1092910958, 2006 Regional scale CO2

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ACPD 6, 10929­10958, 2006 Regional scale CO2 flux estimation using radon A. I. Hirsch Title Page Chemistry and Physics Discussions On using radon-222 and CO2 to calculate regional-scale CO2 fluxes A. I (Adam.Hirsch@noaa.gov) 10929 #12;ACPD 6, 10929­10958, 2006 Regional scale CO2 flux estimation using

  13. Biochar and Carbon Sequestration: A Regional Perspective

    E-Print Network [OSTI]

    Everest, Graham R

    Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East of England #12;Low Carbon Innovation Centre Report for EEDA Biochar and Carbon Sequestration: A Regional Perspective 20/04/2009 ii Biochar and Carbon Sequestration: A Regional Perspective A report prepared for East

  14. Segmentation into fuzzy regions using topographic distance

    E-Print Network [OSTI]

    Philipp-Foliguet, Sylvie

    recognition from fuzzy regions. Keywords: Segmentation, Fuzzy region, Watershed, Color image, TopographicSegmentation into fuzzy regions using topographic distance SYLVIE PHILIPP­FOLIGUET 1 MARCELO@dcc.ufmg.br, arnaldo@dcc.ufmg.br 3 Supported by CAPES. Abstract. This paper exposes an algorithm that leads to a fuzzy

  15. First 450-micron dust continuum mapping of the massive star-forming region NGC 3576 with the P-ArTeMiS bolometer camera

    E-Print Network [OSTI]

    P. André; V. Minier; P. Gallais; V. Reveret; J. Le Pennec; L. Rodriguez; O. Boulade; E. Doumayrou; D. Dubreuil; M. Lortholary; J. Martignac; M. Talvard; C. De Breuck; G. Hamon; N. Schneider; S. Bontemps; P. O. Lagage; E. Pantin; H. Roussel; M. Miller; C. R. Purcell; T. Hill; J. Stutzki

    2008-09-23T23:59:59.000Z

    Context: The earliest phases of massive star formation are currently much debated. Aims. In an effort to make progress, we took a census of Class0-like protostellar dense cores in the NGC 3576 region, one of the nearest and most luminous embedded sites of high-mass star formation in the Galaxy. Methods: We used the P-ArTeMiS bolometer camera on the APEX telescope to produce the first 450-micron dust continuum map of the filamentary dense clump associated with NGC 3576. Results: Combining our 450-micron observations with existing data at other wavelengths, we have identified seven massive protostellar sources along the NGC 3576 filament and placed them in the M_env - L_bol evolutionary diagram for protostars. Conclusions: Comparison with theoretical evolutionary tracks suggests that these seven protostellar sources will evolve into massive stars with masses M* ~ 15-50 Msun. Four sources are classified as candidate high-mass Class 0 objects, two sources as massive Class I objects, and one source appears to be at an intermediate stage.

  16. Cooperative monitoring of regional security agreements

    SciTech Connect (OSTI)

    Pregenzer, A.L.; Vannoni, M.; Biringer, K.L.

    1995-08-01T23:59:59.000Z

    This paper argues that cooperative monitoring plays a critical role in the implementation of regional security agreements and confidence building measures. A framework for developing cooperative monitoring options is proposed and several possibilities for relating bilateral and regional monitoring systems to international monitoring systems are discussed. Three bilateral or regional agreements are analyzed briefly to illustrate different possibilities: (1) the demilitarization of the Sinai region between Israel and Egypt in the 1970s; (2) the 1991 quadripartite agreement for monitoring nuclear facilities among Brazil, Argentina, The Argentine-Brazilian Agency for Accounting and Control of Nuclear Materials and the International Atomic Energy Agency; and (3) a bilateral Open Skies agreement between Hungary and Romania in 1991. These examples illustrate that the relationship of regional or bilateral arms control or security agreements to international agreements depends on a number of factors: the overlap of provisions between regional and international agreements; the degree of interest in a regional agreement among the international community; efficiency in implementing the agreement; and numerous political considerations.Given the importance of regional security to the international community, regions should be encouraged to develop their own infrastructure for implementing regional arms control and other security agreements. A regional infrastructure need not preclude participation in an international regime. On the contrary, establishing regional institutions for arms control and nonproliferation could result in more proactive participation of regional parties in developing solutions for regional and international problems, thereby strengthening existing and future international regimes. Possible first steps for strengthening regional infrastructures are identified and potential technical requirements are discussed.

  17. Securing non-volatile memory regions

    DOE Patents [OSTI]

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20T23:59:59.000Z

    Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

  18. Northwest Regional Technology Center, March 2013 Page 1 of 2 Around The Region In Homeland Security

    E-Print Network [OSTI]

    to homeland security in the region, and this issue highlights Puget Sound Regional Blue Force Tracking Puget Sound Regional Blue Force Tracking Initiative The Puget Sound Regional Blue Force Tracking (BFTS the Puget Sound Area Maritime Security Committee Area of Responsibility. As part of the Initiative

  19. Emitting gas regions in Mrk 493: An extensive Fe II line emission region

    E-Print Network [OSTI]

    L. C. Popovic; A. Smirnova; D. Ilic; A. Moiseev; J. Kovacevic; V. Afanasiev

    2007-01-24T23:59:59.000Z

    We performed 3D spectroscopic observations of Mrk 493 in order to investigate the Fe II emitting region and their possible connection with the Hydrogen emitting region. We found that there is a strong Fe II emission in an extensive region ~ 4" x 4" around Sy 1 nucleus. The Fe II line width indicates that these lines are originated in an intermediate line region.

  20. Enforcement Policy Statement: Regional Standards Enforcement...

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

    42 U.S.C. 6291-6309, which set forth amended energy conservation standards for central air conditioners and heat pumps, including regional standards in certain States....

  1. BPA Regional Science Bowl Begins Jan. 31

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

    Regional-Science-Bowl-Begins-Jan-31 Sign In About | Careers | Contact | Investors | bpa.gov Search News & Us Expand News & Us Projects & Initiatives Expand Projects &...

  2. Regional Analysis And Characterization Of Fractured Aquifers...

    Open Energy Info (EERE)

    Regional Analysis And Characterization Of Fractured Aquifers In The Virginia Blue Ridge And Piedmont Provinces Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  3. Regional Carbon Sequestration Partnerships Validation Phase ...

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

    Regional Carbon Sequestration Partnerships Validation Phase Core Storage R&D Storage Infrastructure Strategic Program Support NATCARBAtlas Program Plan Project Portfolio...

  4. Sandia National Laboratories: Vermont Photovoltaic Regional Test...

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

    Photovoltaic Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The...

  5. Regional Districts, Commissions, and Authorities (South Carolina)

    Broader source: Energy.gov [DOE]

    This legislation establishes a number of regional districts, commissions, and authorities with the power to implement regulations and development plans for protected park and recreational areas.

  6. Regional geophysics, Cenozoic tectonics and geologic resources...

    Open Energy Info (EERE)

    geophysics, Cenozoic tectonics and geologic resources of the Basin and Range Province and adjoining regions Jump to: navigation, search OpenEI Reference LibraryAdd to library...

  7. Southeast Regional Clean Energy Policy Analysis

    Office of Energy Efficiency and Renewable Energy (EERE)

    This report covers the states that largely fall into the Southeastern Reliability Corporation (SERC) region: Alabama, Arkansas, Georgia, Louisiana, Kentucky, Missouri, Mississippi, North Carolina, South Carolina, and Tennessee.

  8. Northwest Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  9. 2011 Municipal Consortium Northwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northwest Region Workshop, held in Seattle July 15, 2011.

  10. Pacific Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  11. Regional Resource Centers for Innovation Brochure (Revised)

    SciTech Connect (OSTI)

    Wogsland, J.

    2000-09-14T23:59:59.000Z

    This brochure describes OIT's Regional Resource Centers for Innovation (RCIs), which provide the Innovation and Invention program grantees and other small business energy innovators commercialization assistance.

  12. Northeast Region Combined Heat and Power Projects

    Broader source: Energy.gov [DOE]

    DOE's Regional CHP Technical Assistance Partnerships (CHP TAPs) have compiled a select number of combined heat and power (CHP) project profiles, which are available as Adobe Acrobat PDFs.

  13. The metallicity of circumnuclear star forming regions

    E-Print Network [OSTI]

    A. I. Diaz; E. Terlevich; M. Castellanos; G. F. Hagele

    2006-10-26T23:59:59.000Z

    We present a spectrophotometric study of circumnuclear star forming regions (CNSFR) in the early type spiral galaxies: NGC 2903, NGC 3351 and NGC 3504, all of them of over solar metallicity according to standard empirical calibrations. A detailed determination of their abundances is made after careful subtraction of the very prominent underlying stellar absorption. It is found that most regions show the highest abundances in HII region-like objects. The relative N/O and S/O abundances are discussed. In is also shown that CNSFR, as a class, segregate from the disk HII region family, clustering around smaller ``softness parameter" -- \\eta' -- values, and therefore higher ionizing temperatures.

  14. The metallicity of circumnuclear star forming regions

    E-Print Network [OSTI]

    Díaz, A I; Castellanos, M; Hägele, G F

    2006-01-01T23:59:59.000Z

    We present a spectrophotometric study of circumnuclear star forming regions (CNSFR) in the early type spiral galaxies: NGC 2903, NGC 3351 and NGC 3504, all of them of over solar metallicity according to standard empirical calibrations. A detailed determination of their abundances is made after careful subtraction of the very prominent underlying stellar absorption. It is found that most regions show the highest abundances in HII region-like objects. The relative N/O and S/O abundances are discussed. In is also shown that CNSFR, as a class, segregate from the disk HII region family, clustering around smaller ``softness parameter" -- \\eta' -- values, and therefore higher ionizing temperatures.

  15. Western Regional Emergency Medicine Student Symposium

    E-Print Network [OSTI]

    Joseph, Daniel A; Fernandez, Jorge

    2009-01-01T23:59:59.000Z

    Western Regional Emergency Medicine Student Symposium DanielFernandez, MD Keck School of Medicine of the University ofDepartment of Emergency Medicine, Los Angles, CA The Western

  16. U.S. Energy Information Administration (EIA) - Pub

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    Annual Energy Outlook 2012 cases Appendix F: Regional Maps United States census divisions Electricity market module regions Petroleum Administration for defense districts Oil and...

  17. U.S. Energy Information Administration (EIA) - Pub

    Gasoline and Diesel Fuel Update (EIA)

    Annual Energy Outlook 2011 cases Appendix F: Regional Maps United States census divisions Electricity market module regions Petroleum Administration for defense districts Oil and...

  18. anemia mga1 region: Topics by E-print Network

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

    and Plants Websites Summary: 652013 1 Regional GHG Emissions O tlook Greenhouse Gas and the Regional Power System Symposium Regional GHG Emissions - Outlook June 4, 2013...

  19. Predicting Functional Regions of Objects Chaitanya Desai

    E-Print Network [OSTI]

    Ramanan, Deva

    regions. We compare "blind" approaches that ig- nore image data, bottom-up approaches that reason about). We benchmark a wide variety of algo- rithms for producing such outputs, including blind baselines- fords little use to an observer. The central thesis of this work is that functional regions

  20. THE ECONOMIC SITUATION IN THE ECE REGION

    E-Print Network [OSTI]

    THE ECONOMIC SITUATION IN THE ECE REGION DIETER HESSE ECONOMIC ANALYSIS DIVISION UNECE #12;Major trends in the global economy so far in 2003 Global economic activity picked up ­ but uneven regional growth forces United States remains main engine of global economic growth Japan and Asian emerging

  1. Understanding Regional Economic Growth in India

    E-Print Network [OSTI]

    Understanding Regional Economic Growth in India Jeffrey D. Sachs, Nirupam Bajpai and Ananthi Ramiah Papers #12;Understanding Regional Economic Growth in India Jeffrey D. Sachs Center for International Development (CID) Harvard University Ananthi_Ramiah@harvard.edu This paper was prepared for the Asian Economic

  2. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study for this major GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year

  3. Roadmap: Associate of Arts Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study for this major.000 #12;Roadmap: Associate of Arts [RE-AA-AA] Regional College Catalog Year: 2013-2014 Page 2 of 2 | Last

  4. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 1 of 2 | Last Updated: 27-Feb-13/LNHD This roadmap is a recommended semester-by-semester plan of study.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2013-2014 Page 2 of 2

  5. Roadmap: Associate of Science Regional College

    E-Print Network [OSTI]

    Sheridan, Scott

    Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog Year: 2012-2013 Page 1 of 2 | Last Updated: 12-Mar-12/LNHD This roadmap is a recommended semester-by-semester plan of study GPA Overall GPA 61 2.000 2.000 #12;Roadmap: Associate of Science [RE-AS-AS] Regional College Catalog

  6. Cardiff School of City and Regional Planning

    E-Print Network [OSTI]

    Davies, Christopher

    Cardiff School of City and Regional Planning Undergraduate Degree Programmes www School of City and Regional Planning 11 BSc Geography (Human) 13 BSc Geography (Human) and Planning 15 to Find Us #12;Welcome 1www.cardiff.ac.uk/cplan Thank you for your interest in the Cardiff School of City

  7. MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN

    E-Print Network [OSTI]

    ................................................................................. 24 #12;v ASMFC Atlantic States Marine Fisheries Commission BOEM Bureau of Ocean Energy Management BMPMID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research #12;MID-ATLANTIC REGIONAL OCEAN RESEARCH PLAN SEPTEMBER 2012 Sea Grant Mid-Atlantic Ocean Research

  8. Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production and Regional Economic Growth

    E-Print Network [OSTI]

    Johnson, Eric E.

    Arrowhead Center: Coal Production and Regional Economic Growth Report Title: Coal Production@nmsu.edu #12;Arrowhead Center: Coal Production and Regional Economic Growth i Disclaimer This report States Government or any agency thereof. #12;Arrowhead Center: Coal Production and Regional Economic

  9. The CO2 Content of Consumption Across US Regions: A Multi-Regional

    E-Print Network [OSTI]

    , when attributed on a consumption basis, California's per capita emissions are over 25 percent higherThe CO2 Content of Consumption Across US Regions: A Multi-Regional Input-Output (MRIO) Approach: globalchange@mit.edu Website: http://globalchange.mit.edu/ #12;The CO2 Content of Consumption Across US Regions

  10. Control of Regional and Global Weather

    E-Print Network [OSTI]

    Alexander Bolonkin

    2007-01-09T23:59:59.000Z

    Author suggests and researches a new revolutionary idea for regional and global weather control. He offers to cover cities, bad regions of country, full country or a continent by a thin closed film with control clarity located at a top limit of the Earth troposphere (4 - 6 km). The film is supported at altitude by small additional atmospheric pressure and connected to ground by thin cables. It is known, the troposphere defines the Earth weather. Authors show this closed dome allows to do a full control of the weather in a given region (the day is always fine, the rain is only in night, no strong wind). The average Earth (white cloudy) reflectance equal 0.3 - 0.5. That means the Earth losses about 0.3 - 0.5 of a solar energy. The dome controls the clarity of film and converts the cold regions to subtropics and creates the hot deserts, desolate wildernesses to the prosperous regions with temperate climate. That is a realistic and the cheapest method of the weather control in the Earth at the current time. Key words: Global weather control, gigantic film dome, converting a cold region to subtropics, converting desolate wilderness to a prosperous region.

  11. Regional Climate Modeling: Progress, Challenges, and Prospects

    SciTech Connect (OSTI)

    Wang, Yuqing; Leung, Lai R.; McGregor, John L.; Lee, Dong-Kyou; Wang, Wei-Chyung; Ding, Yihui; Kimura, Fujio

    2004-12-01T23:59:59.000Z

    Regional climate modeling with regional climate models (RCMs) has matured over the past decade and allows for meaningful utilization in a broad spectrum of applications. In this paper, latest progresses in regional climate modeling studies are reviewed, including RCM development, applications of RCMs to dynamical downscaling for climate change assessment, seasonal climate predictions and climate process studies, and the study of regional climate predictability. Challenges and potential directions of future research in this important area are discussed, with the focus on those to which less attention has been given previously, such as the importance of ensemble simulations, further development and improvement of regional climate modeling approach, modeling extreme climate events and sub-daily variation of clouds and precipitation, model evaluation and diagnostics, applications of RCMs to climate process studies and seasonal predictions, and development of regional earth system models. It is believed that with both the demonstrated credibility of RCMs’ capability in reproducing not only monthly to seasonal mean climate and interannual variability but also the extreme climate events when driven by good quality reanalysis and the continuous improvements in the skill of global general circulation models (GCMs) in simulating large-scale atmospheric circulation, regional climate modeling will remain an important dynamical downscaling tool for providing the needed information for assessing climate change impacts and seasonal climate predictions, and a powerful tool for improving our understanding of regional climate processes. An internationally coordinated effort can be developed with different focuses by different groups to advance regional climate modeling studies. It is also recognized that since the final quality of the results from nested RCMs depends in part on the realism of the large-scale forcing provided by GCMs, the reduction of errors and improvement in physics parameterizations in both GCMs and RCMs remain a priority for climate modeling community.

  12. Stellar Populations in Circumnuclear Star Forming Regions

    E-Print Network [OSTI]

    A. I. Diaz; M. Alvarez-Alvarez; M. Castellanos

    2002-05-07T23:59:59.000Z

    We present a study of the stellar populations and gas physical conditions in Circumnuclear Star Forming Regions (CNSFR) based on broad and narrow band photometry and spectrophotometric data, which have been analyzed with the use of evolutionary population synthesis and photoionization models. It is found that most CNSFR show composite stellar populations of slightly different ages. They seem to have the highest abundances in HII region-like objects, showing also N/O overabundances and S/O underabundances by a factor of about three. Also, CNSFR as a class, segregate from the disk HII region family, clustering around smaller $\\eta$' values, and thereforefore higher ionizing temperatures.

  13. Enforcement Policy Statement: Compliance Period for Regional...

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

    Compliance Period for Regional Standards Applicable to Central Air Conditioners April 24, 2014 On June 27, 2011, the U.S. Department of Energy (DOE) published in the Federal...

  14. Sierra Nevada Region - Western Area Power Administration

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

    The Sierra Nevada Region is one of five offices in the Western Area Power Administration. SN markets power in northern and central California, and portions of Nevada, to wholesale...

  15. Detection Of Amplified Or Deleted Chromosomal Regions

    DOE Patents [OSTI]

    Stokke, Trond (San Fransisco, CA), Pinkel, Daniel (Walnut Creek, CA), Gray, Joe W. (San Fransisco, CA)

    1997-05-27T23:59:59.000Z

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  16. Detection of amplified or deleted chromosomal regions

    DOE Patents [OSTI]

    Stokke, Trond (San Francisco, CA); Pinkel, Daniel (Walnut Creek, CA); Gray, Joe W. (San Francisco, CA)

    1995-01-01T23:59:59.000Z

    The present invention relates to in situ hybridization methods for the identification of new chromosomal abnormalities associated with various diseases. In particular, it provides probes which are specific to a region of amplification in chromosome 20.

  17. Northwestern Indiana Regional Planning Commission (Indiana)

    Broader source: Energy.gov [DOE]

    NIRPC is a regional council of local governments serving the citizens of Lake, Porter, and LaPorte counties in Northwest Indiana. NIRPC provides a forum that enables the citizens of Northwest...

  18. INVESTIGATION OF BULK POWER MIDWEST REGION

    E-Print Network [OSTI]

    Laughlin, Robert B.

    INVESTIGATION OF BULK POWER MARKETS MIDWEST REGION November 1, 2000 The analyses and conclusions Energy Regulatory Commission, any individual Commissioner, or the Commission itself #12;3-i Contents Page . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 2-3 A. Description of the Midwest

  19. Public School Transportation National and Regional

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Public School Transportation National and Regional Perspectives: An Update Presented to Education University #12;Table of Contents I. Current Transportation Funding Policies ..................................................................................................................................1 B. Transportation Funding Options Used by States

  20. Contact Upper Great Plains Regional Office

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

    Great Plains Regional Office Mailing Address: PO Box 35800 Billings, MT 59107-5800 406-255-2800 Toll Free: 1-800-358-3415 Fax: 406-255-2900 Organizational chart with phone numbers...

  1. 2011 Municipal Consortium Northeast Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Northeast Region Workshop, held in Philadelphia, May 19–20, 2011.

  2. 2011 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in San Jose, California, August 25­–26, 2011.

  3. 2010 Municipal Consortium Southwest Region Workshop Materials

    Broader source: Energy.gov [DOE]

    This page provides links to the presentations given at the DOE Municipal Solid-State Street Lighting Consortium Southwest Region Workshop, held in Los Angeles on September 30, 2010.

  4. Sandia National Laboratories: Photovoltaic Regional Testing Center...

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

    Regional Test Center (RTC). The RTC will enable research on integrating solar panels into the statewide smart grid and help reduce the cost of solar power. The Vermont RTC...

  5. What is the Broad Line Region?

    E-Print Network [OSTI]

    Ari Laor

    2003-12-16T23:59:59.000Z

    What is the Broad Line Region (BLR) made of? What determines its location? Why is it sometimes missing? What controls its properties? Some recent results and new approaches which may shed light on these issues are briefly described.

  6. About Upper Great Plains Regional Office

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

    7,800 miles of Federal power lines, which are connected with other regional transmission systems and groups. To keep power moving through the system, we rely on our operations in...

  7. AWEA Wind Energy Regional Summit: Northeast

    Office of Energy Efficiency and Renewable Energy (EERE)

    The AWEA Wind Energy Northeast Regional Summit will connect you with New England-area wind energy professionals and offers the opportunity to discuss significant issues related to land-based and...

  8. Clusters of Extragalactic Ultra Compact HII Regions

    E-Print Network [OSTI]

    Kelsey E. Johnson; Chip Kobulnicky; Phil Massey; Peter Conti

    2001-07-10T23:59:59.000Z

    We report on the detection of optically thick free-free radio sources in the galaxies M33, NGC 253, and NGC 6946 using data in the literature. We interpret these sources as being young, embedded star birth regions, which are likely to be clusters of ultracompact HII regions. All 35 of the sources presented in this article have positive radio spectral indices alpha>0 suggesting an optically thick thermal bremsstrahlung emission arising in the HII region surrounding hot stars. Energy requirements indicate a range of a several to >500 O7V star equivalents powering each HII region. Assuming a Salpeter IMF, this corresponds to integrated stellar masses of 0.1--60,000 Msun. For roughly half of the sources in our sample, there is no obvious optical counterpart, giving further support for their deeply embedded nature. Their luminosities and radio spectral energy distributions are consistent with HII regions having electron densities from 1500 cm^-3 to 15000 cm^-3 and radii of 1 - 7 pc. We suggest that the less luminous of these sources are extragalactic ultracompact HII region complexes, those of intermediate luminosity are similar to W49 in the Galaxy, while the brightest will be counterparts to 30 Doradus. These objects constitute the lower mass range of extragalactic ``ultradense HII regions'' which we argue are the youngest stages of massive star cluster formation yet observed. This sample is beginning to fill in the continuum of objects between small associations of ultracompact HII regions and the massive extragalactic clusters that may evolve into globular clusters.

  9. Regional interpretation of Kansas aeromagnetic data

    SciTech Connect (OSTI)

    Yarger, H.L.

    1982-01-01T23:59:59.000Z

    The aeromagnetic mapping techniques used in a regional aeromagnetic survey of the state are documented and a qualitative regional interpretation of the magnetic basement is presented. Geothermal gradients measured and data from oil well records indicate that geothermal resources in Kansas are of a low-grade nature. However, considerable variation in the gradient is noted statewide within the upper 500 meters of the sedimentary section; this suggests the feasibility of using groundwater for space heating by means of heat pumps.

  10. Regions of influence for two iterative methods 

    E-Print Network [OSTI]

    Leifeste, Arlee Ross

    1966-01-01T23:59:59.000Z

    Subject Mathematics REGIONS OF INFLUENCE FOR TWO ITERATIVE METHODS A Thesis By ARLEE ROSS LEIFESTE Approved as to style and content by: (Chairman of Committee) (Head of Department) (Member) (N b )' January 1966 ACKNOWLEDGMENT The author wishes... purpose of the present discussion is to initiate a study of the "regions of influence" of the various solutions of the simul- taneous equations involved. Let the simultaneous functions be denoted and let ( y , y , , y 1 be a point of n...

  11. Residential market transformation: National and regional indicators

    SciTech Connect (OSTI)

    Van Wie McGrory, Laura L.; McNamara, Maureen; Suozzo, Margaret

    2000-06-01T23:59:59.000Z

    A variety of programs are underway to address market barriers to the adoption of energy-efficient residential technologies and practices. Most are administered by utilities, states, or regions that rely on the Energy Star as a consistent platform for program marketing and messaging. This paper reviews regional and national market transformation activities for three key residential end-uses -- air conditioning, clothes washing, and lighting -- characterizing current and ongoing programs; reporting on progress; identifying market indicators; and discussing implications.

  12. SEARCHING FOR NEW HYPERCOMPACT H II REGIONS

    SciTech Connect (OSTI)

    Sanchez-Monge, Alvaro [Osservatorio Astrofisico di Arcetri, INAF, Largo E. Fermi 5, I-50125 Firenze (Italy); Pandian, Jagadheep D. [Institute for Astronomy, University of Hawaii, 2680 Woodlawn Dr., Honolulu, HI 96822 (United States); Kurtz, Stan, E-mail: asanchez@arcetri.astro.it [Centro de RadioastronomIa y Astrofisica, Universidad Nacional Autonoma de Mexico, Apdo. Postal 3-72, 58090 Morelia, Michoacan (Mexico)

    2011-09-20T23:59:59.000Z

    Hypercompact (HC) H II regions are, by nature, very young H II regions, associated with the earliest stages of massive star formation. They may represent the transition phase as an early B-type star grows into an O-type star. Unfortunately, so few HC H II regions are presently known that their general attributes and defining characteristics are based on small number statistics. A larger sample is needed for detailed studies and good statistics. Class II methanol masers are one of the best indicators of the early stages of massive star formation. Using the Arecibo Methanol Maser Galactic Plane Survey-the most sensitive blind survey for 6.7 GHz methanol masers to date-we selected 24 HC H II region candidates. We made Expanded Very Large Array continuum observations at 3.6 and 1.3 cm to search for HC H II regions associated with these masers. We identified six potential HC H II regions in our sample based on the presence of optically thick free-free emission. Overall, we find that 30% of the methanol masers have an associated centimeter radio continuum source (separation less than 0.1 pc), which is in general agreement with previous studies.

  13. Data:8d87b4b8-b5b5-4c46-9ed6-cebef387c342 | Open Energy Information

    Open Energy Info (EERE)

    to 25 HP Sector: Commercial Description: * Available to members of the Cooperative for pump irrigation service located adjacent to its three-phase lines. Total load during peak...

  14. Data:2afd5b5b-752e-4707-ad14-837fca2462b5 | Open Energy Information

    Open Energy Info (EERE)

    subject matter experts. Jump to: navigation, search Loading... 1. Basic Information 2. Demand 3. Energy << Previous 1 2 3 Next >> Basic Information Utility name: Town of...

  15. SOUTHWEST REGIONAL PARTNERSHIP FOR CARBON SEQUESTRATION

    SciTech Connect (OSTI)

    Brian McPherson

    2004-04-01T23:59:59.000Z

    The Southwest Partnership Region includes five states (Arizona, Colorado, New Mexico, Oklahoma, Utah) and contiguous areas from three adjacent states (west Texas, south Wyoming, and west Kansas). This energy-rich region exhibits some of the largest growth rates in the nation, and it contains two major CO{sub 2} pipeline networks that presently tap natural subsurface CO{sub 2} reservoirs for enhanced oil recovery at a rate of 30 million tons per year. The ten largest coal-fired power plants in the region produce 50% (140 million tons CO{sub 2}/y) of the total CO{sub 2} from power-plant fossil fuel combustion, with power plant emissions close to half the total CO{sub 2} emissions. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state government agencies and universities, the five major electric utility industries, seven oil, gas and coal companies, three federal agencies, the Navajo Nation, several NGOs including the Western Governors Association, and data sharing agreements with four other surrounding states. The Partnership is developing action plans for possible Phase II carbon sequestration pilot tests in the region, as well as the non-technical aspects necessary for developing and carrying out these pilot tests. The establishment of a website network to facilitate data storage and information sharing, decision-making, and future management of carbon sequestration in the region is a priority. The Southwest Partnership's approach includes (1) dissemination of existing regulatory/permitting requirements, (2) assessing and initiating public acceptance of possible sequestration approaches, and (3) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region. The Partnership will also identify potential gaps in monitoring and verification approaches needed to validate long-term storage efforts.

  16. Mid-Atlantic Regional Wind Energy Institute

    SciTech Connect (OSTI)

    Courtney Lane

    2011-12-20T23:59:59.000Z

    As the Department of Energy stated in its 20% Wind Energy by 2030 report, there will need to be enhanced outreach efforts on a national, state, regional, and local level to communicate wind development opportunities, benefits and challenges to a diverse set of stakeholders. To help address this need, PennFuture was awarded funding to create the Mid-Atlantic Regional Wind Energy Institute to provide general education and outreach on wind energy development across Maryland, Virginia, Delaware, Pennsylvania and West Virginia. Over the course of the two-year grant period, PennFuture used its expertise on wind energy policy and development in Pennsylvania and expanded it to other states in the Mid-Atlantic region. PennFuture accomplished this through reaching out and establishing connections with policy makers, local environmental groups, health and economic development organizations, and educational institutions and wind energy developers throughout the Mid-Atlantic region. PennFuture conducted two regional wind educational forums that brought together wind industry representatives and public interest organizations from across the region to discuss and address wind development in the Mid-Atlantic region. PennFuture developed the agenda and speakers in collaboration with experts on the ground in each state to help determine the critical issue to wind energy in each location. The sessions focused on topics ranging from the basics of wind development; model ordinance and tax issues; anti-wind arguments and counter points; wildlife issues and coalition building. In addition to in-person events, PennFuture held three webinars on (1) Generating Jobs with Wind Energy; (2) Reviving American Manufacturing with Wind Power; and (3) Wind and Transmission. PennFuture also created a web page for the institute (http://www.midatlanticwind.org) that contains an online database of fact sheets, research reports, sample advocacy letters, top anti-wind claims and information on how to address them, wind and wildlife materials and sample model ordinances. Video and presentations from each in-person meeting and webinar recordings are also available on the site. At the end of the two-year period, PennFuture has accomplished its goal of giving a unified voice and presence to wind energy advocates in the Mid-Atlantic region. We educated a broad range of stakeholders on the benefits of wind energy and gave them the tools to help make a difference in their states. We grew a database of over 500 contacts and hope to continue the discussion and work around the importance of wind energy in the region.

  17. A Hierarchical Evaluation of Regional Climate Simulations

    SciTech Connect (OSTI)

    Leung, Lai-Yung R.; Ringler, Todd; Collins, William D.; Taylor, Mark; Ashfaq, Moetasim

    2013-08-20T23:59:59.000Z

    Global climate models (GCMs) are the primary tools for predicting the evolution of the climate system. Through decades of development, GCMs have demonstrated useful skill in simulating climate at continental to global scales. However, large uncertainties remain in projecting climate change at regional scales, which limit our ability to inform decisions on climate change adaptation and mitigation. To bridge this gap, different modeling approaches including nested regional climate models (RCMs), global stretch-grid models, and global high-resolution atmospheric models have been used to provide regional climate simulations (Leung et al. 2003). In previous efforts to evaluate these approaches, isolating their relative merits was not possible because factors such as dynamical frameworks, physics parameterizations, and model resolutions were not systematically constrained. With advances in high performance computing, it is now feasible to run coupled atmosphere-ocean GCMs at horizontal resolution comparable to what RCMs use today. Global models with local refinement using unstructured grids have become available for modeling regional climate (e.g., Rauscher et al. 2012; Ringler et al. 2013). While they offer opportunities to improve climate simulations, significant efforts are needed to test their veracity for regional-scale climate simulations.

  18. Multilateral, regional and bilateral energy trade governance

    SciTech Connect (OSTI)

    Leal-Arcas, Rafael; Grasso, Costantino; Rios, Juan Alemany (Queen Mary Univ. of London (United Kingdom))

    2014-12-01T23:59:59.000Z

    The current international energy trade governance system is fragmented and multi-layered. Streamlining it for greater legal cohesiveness and international political and economic cooperation would promote global energy security. The current article explores three levels of energy trade governance: multilateral, regional and bilateral. Most energy-rich countries are part of the multilateral trading system, which is institutionalized by the World Trade Organization (WTO). The article analyzes the multilateral energy trade governance system by focusing on the WTO and energy transportation issues. Regionally, the article focuses on five major regional agreements and their energy-related aspects and examines the various causes that explain the proliferation of regional trade agreements, their compatibility with WTO law, and then provides several examples of regional energy trade governance throughout the world. When it comes to bilateral energy trade governance, this article only addresses the European Union’s (EU) bilateral energy trade relations. The article explores ways in which gaps could be filled and overlaps eliminated whilst remaining true to the high-level normative framework, concentrating on those measures that would enhance EU energy security.

  19. IS ACTIVE REGION CORE VARIABILITY AGE DEPENDENT?

    SciTech Connect (OSTI)

    Ugarte-Urra, Ignacio [College of Science, George Mason University, 4400 University Drive, Fairfax, VA 22030 (United States); Warren, Harry P. [Space Science Division, Naval Research Laboratory, Washington, DC 20375 (United States)

    2012-12-10T23:59:59.000Z

    The presence of both steady and transient loops in active region cores has been reported from soft X-ray and extreme-ultraviolet observations of the solar corona. The relationship between the different loop populations, however, remains an open question. We present an investigation of the short-term variability of loops in the core of two active regions in the context of their long-term evolution. We take advantage of the nearly full Sun observations of STEREO and Solar Dynamics Observatory spacecraft to track these active regions as they rotate around the Sun multiple times. We then diagnose the variability of the active region cores at several instances of their lifetime using EIS/Hinode spectral capabilities. We inspect a broad range of temperatures, including for the first time spatially and temporally resolved images of Ca XIV and Ca XV lines. We find that the active region cores become fainter and steadier with time. The significant emission measure at high temperatures that is not correlated with a comparable increase at low temperatures suggests that high-frequency heating is viable. The presence, however, during the early stages, of an enhanced emission measure in the ''hot'' (3.0-4.5 MK) and ''cool'' (0.6-0.9 MK) components suggests that low-frequency heating also plays a significant role. Our results explain why there have been recent studies supporting both heating scenarios.

  20. Future regional climate change in the ten hydrologic regions of California: A climate modeling investigation

    E-Print Network [OSTI]

    Sloan, Lisa C

    2005-01-01T23:59:59.000Z

    snow accumulation (mm snow water equivalent) by region.Bell, J.L. , Jour. American Water Resources Assoc. , 591-CO, 1993. Department of Water Resources (DWR), California

  1. Regional Lead Agents and County Coordinators 2011 RESPONSIBILITY NAME COUNTY

    E-Print Network [OSTI]

    Bolding, M. Chad

    #12;Regional Lead Agents and County Coordinators 2011 RESPONSIBILITY NAME COUNTY REGION 1 Regional Lead Millie Davenport HGIC County Coordinator Matt Burns Pickens County Coordinator Marty Watt Anderson County Coordinator Morris Warner Oconee REGION 2 Regional Lead Danny Howard Greenville County Coordinator

  2. Extended emission associated with young HII regions

    E-Print Network [OSTI]

    S. P. Ellingsen; S. S. Shabala; S. E. Kurtz

    2004-12-06T23:59:59.000Z

    We have used the Australia Telescope Compact Array (ATCA) to make observations of a sample of eight young ultra-compact HII regions, selected on the basis that they have associated class II methanol maser emission. We have made observations sensitive to both compact and extended structures and find both to be present in most sources. The scale of the extended emission in our sample is in general less than that observed towards samples based on IRAS properties, or large single-dish flux densities. Our observations are consistent with a scenario where extended and compact radio continuum emission coexists within HII regions for a significant period of time. We suggest that these observations are consistent with a model where HII evolution takes place within hierarchically structured molecular clouds. This model is the subject of a companion paper (Shabala et al. 2005) and addresses both the association between compact and extended emission and UCHII region lifetime problem.

  3. The Corona Australis Star Forming Region

    E-Print Network [OSTI]

    Ralph Neuhäuser; Jan Forbrich

    2008-08-25T23:59:59.000Z

    At a distance of about 130 pc, the Corona Australis molecular cloud complex is one of the nearest regions with ongoing and/or recent star formation. It is a region with highly variable extinction of up to AV~45 mag, containing, at its core, the Coronet protostar cluster. There are now 55 known optically detected members, starting at late B spectral types. At the opposite end of the mass spectrum, there are two confirmed brown dwarf members and seven more candidate brown dwarfs. The CrA region has been most widely surveyed at infrared wavelengths, in X-rays, and in the millimeter continuum, while follow-up observations from centimeter radio to X-rays have focused on the Coronet cluster.

  4. SOUTHWEST REGIONAL PARTNERSHIP ON CARBON SEQUESTRATION

    SciTech Connect (OSTI)

    Brian McPherson; Rick Allis; Barry Biediger; Joel Brown; Jim Cappa; George Guthrie; Richard Hughes; Eugene Kim; Robert Lee; Dennis Leppin; Charles Mankin; Orman Paananen; Rajesh Pawar; Tarla Peterson; Steve Rauzi; Jerry Stuth; Genevieve Young

    2004-11-01T23:59:59.000Z

    The Southwest Partnership Region includes six whole states, including Arizona, Colorado, Kansas, New Mexico, Oklahoma, and Utah, roughly one-third of Texas, and significant portions of adjacent states. The Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. The main objective of the Southwest Partnership project is to achieve an 18% reduction in carbon intensity by 2012. The Partnership made great progress in this first year. Action plans for possible Phase II carbon sequestration pilot tests in the region are almost finished, including both technical and non-technical aspects necessary for developing and carrying out these pilot tests. All partners in the Partnership are taking an active role in evaluating and ranking optimum sites and technologies for capture and storage of CO{sub 2} in the Southwest Region. We are identifying potential gaps in all aspects of potential sequestration deployment issues.

  5. Light emitting device having peripheral emissive region

    DOE Patents [OSTI]

    Forrest, Stephen R

    2013-05-28T23:59:59.000Z

    Light emitting devices are provided that include one or more OLEDs disposed only on a peripheral region of the substrate. An OLED may be disposed only on a peripheral region of a substantially transparent substrate and configured to emit light into the substrate. Another surface of the substrate may be roughened or include other features to outcouple light from the substrate. The edges of the substrate may be beveled and/or reflective. The area of the OLED(s) may be relatively small compared to the substrate surface area through which light is emitted from the device. One or more OLEDs also or alternatively may be disposed on an edge of the substrate about perpendicular to the surface of the substrate through which light is emitted, such that they emit light into the substrate. A mode expanding region may be included between each such OLED and the substrate.

  6. FY08 LDRD Final Report Regional Climate

    SciTech Connect (OSTI)

    Bader, D C; Chin, H; Caldwell, P M

    2009-05-19T23:59:59.000Z

    An integrated, multi-model capability for regional climate change simulation is needed to perform original analyses to understand and prepare for the impacts of climate change on the time and space scales that are critical to California's future environmental quality and economic prosperity. Our intent was to develop a very high resolution regional simulation capability to address consequences of climate change in California to complement the global modeling capability that is supported by DOE at LLNL and other institutions to inform national and international energy policies. The California state government, through the California Energy Commission (CEC), institutionalized the State's climate change assessment process through its biennial climate change reports. The bases for these reports, however, are global climate change simulations for future scenarios designed to inform international policy negotiations, and are primarily focused on the global to continental scale impacts of increasing emissions of greenhouse gases. These simulations do not meet the needs of California public and private officials who will make major decisions in the next decade that require an understanding of climate change in California for the next thirty to fifty years and its effects on energy use, water utilization, air quality, agriculture and natural ecosystems. With the additional development of regional dynamical climate modeling capability, LLNL will be able to design and execute global simulations specifically for scenarios important to the state, then use those results to drive regional simulations of the impacts of the simulated climate change for regions as small as individual cities or watersheds. Through this project, we systematically studied the strengths and weaknesses of downscaling global model results with a regional mesoscale model to guide others, particularly university researchers, who are using the technique based on models with less complete parameterizations or coarser spatial resolution. Further, LLNL has now built a capability in state-of-the-science mesoscale climate modeling that complements that which it has in global climate simulation, providing potential sponsors with an end-to-end simulation and analysis program.

  7. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, Anthony M. (Menlo Park, CA)

    1998-06-02T23:59:59.000Z

    A method for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors.

  8. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, A.M.

    1996-01-30T23:59:59.000Z

    A method is disclosed for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors. 10 figs.

  9. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, Anthony M. (Menlo Park, CA)

    1996-01-01T23:59:59.000Z

    A method for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors.

  10. Silicon on insulator with active buried regions

    DOE Patents [OSTI]

    McCarthy, A.M.

    1998-06-02T23:59:59.000Z

    A method is disclosed for forming patterned buried components, such as collectors, sources and drains, in silicon-on-insulator (SOI) devices. The method is carried out by epitaxially growing a suitable sequence of single or multiple etch stop layers ending with a thin silicon layer on a silicon substrate, masking the silicon such that the desired pattern is exposed, introducing dopant and activating in the thin silicon layer to form doped regions. Then, bonding the silicon layer to an insulator substrate, and removing the silicon substrate. The method additionally involves forming electrical contact regions in the thin silicon layer for the buried collectors. 10 figs.

  11. 2030 Northwest Arkansas Regional Transportation Plan

    E-Print Network [OSTI]

    Northwest Arkansas Regional Planning Commission

    2006-04-20T23:59:59.000Z

    united front. B. Regional Transportation History An early road was established through Northwest Arkansas in the 1830s linking Fort Smith to points in southern Missouri and on to St. Louis. By the mid 1800s many roads crossed the growing region including... the historic Butterfield Overland Coach Road that linked St. Louis and San Francisco. The Civil War brought troop movements through the area with major battles being fought at Pea Ridge and Prairie Grove. The University of Arkansas was established in 1872...

  12. SPEER: Building a Regional Energy Efficiency Partnership 

    E-Print Network [OSTI]

    Lewin, D.

    2013-01-01T23:59:59.000Z

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

  13. SPEER: Building a Regional Energy Efficiency Partnership

    E-Print Network [OSTI]

    Lewin, D.

    2013-01-01T23:59:59.000Z

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

  14. Southwest Regional Partnership on Carbon Sequestration

    SciTech Connect (OSTI)

    Brian McPherson

    2006-03-31T23:59:59.000Z

    The Southwest Partnership on Carbon Sequestration completed its Phase I program in December 2005. The main objective of the Southwest Partnership Phase I project was to evaluate and demonstrate the means for achieving an 18% reduction in carbon intensity by 2012. Many other goals were accomplished on the way to this objective, including (1) analysis of CO{sub 2} storage options in the region, including characterization of storage capacities and transportation options, (2) analysis and summary of CO{sub 2} sources, (3) analysis and summary of CO{sub 2} separation and capture technologies employed in the region, (4) evaluation and ranking of the most appropriate sequestration technologies for capture and storage of CO{sub 2} in the Southwest Region, (5) dissemination of existing regulatory/permitting requirements, and (6) assessing and initiating public knowledge and acceptance of possible sequestration approaches. Results of the Southwest Partnership's Phase I evaluation suggested that the most convenient and practical ''first opportunities'' for sequestration would lie along existing CO{sub 2} pipelines in the region. Action plans for six Phase II validation tests in the region were developed, with a portfolio that includes four geologic pilot tests distributed among Utah, New Mexico, and Texas. The Partnership will also conduct a regional terrestrial sequestration pilot program focusing on improved terrestrial MMV methods and reporting approaches specific for the Southwest region. The sixth and final validation test consists of a local-scale terrestrial pilot involving restoration of riparian lands for sequestration purposes. The validation test will use desalinated waters produced from one of the geologic pilot tests. The Southwest Regional Partnership comprises a large, diverse group of expert organizations and individuals specializing in carbon sequestration science and engineering, as well as public policy and outreach. These partners include 21 state government agencies and universities, five major electric utility companies, seven oil, gas and coal companies, three federal agencies, the Navajo Nation, several NGOs, and the Western Governors Association. This group is continuing its work in the Phase II Validation Program, slated to conclude in 2009.

  15. Regional assessment of aquifers for thermal-energy storage. Volume 2. Regions 7 through 12

    SciTech Connect (OSTI)

    Not Available

    1981-06-01T23:59:59.000Z

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: Unglaciated Central Region; Glaciated Appalachians, Unglaciated Appalachians; Coastal Plain; Hawaii; and Alaska. (LCL)

  16. Regional assessment of aquifers for thermal energy storage. Volume 1. Regions 1 through 6

    SciTech Connect (OSTI)

    Not Available

    1981-06-01T23:59:59.000Z

    This volume contains information on the geologic and hydrologic framework, major aquifers, aquifers which are suitable and unsuitable for annual thermal energy storage (ATES) and the ATES potential of the following regions of the US: the Western Mountains; Alluvial Basins; Columbia LAVA Plateau; Colorado Plateau; High Plains; and Glaciated Central Region. (LCL)

  17. Regional Interagency Steering GIS Sub-Committee for FEMA's Region II Caribbean Area Division

    E-Print Network [OSTI]

    Gilbes, Fernando

    Regional Interagency Steering GIS Sub-Committee for FEMA's Region II Caribbean Area Division Jimmy RodrĂ­guez-Zamora Caribbean Area Division, San Juan, Puerto Rico 00918 Department of Homeland Security also. This effort is being carried out at the Caribbean Area Division as New York and New Jersey

  18. Minutes of Southern Region Animal Waste Team: Southern Regional Water Quality Project Animal Waste Management Topic

    E-Print Network [OSTI]

    : Southern Animal and Waste Management Quarterly 2. Format & length: Electronic, pdf and MSWord (by requestMinutes of Southern Region Animal Waste Team: Southern Regional Water Quality Project Animal Waste with the Symposium on the State of the Science: Animal Manure and Waste Management Attended by: M. Risse (UGA), T

  19. african region summary: Topics by E-print Network

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

    model (MRCM) in simulating the West African monsoon. The MRCM is built on the Regional Climate Model, ... Im, Eun-Soon 12 Regional Summary Gulf of Mexico Region Management...

  20. Drive-access transit : a regional analytical framework

    E-Print Network [OSTI]

    Sorensen, James B

    2005-01-01T23:59:59.000Z

    A framework for analyzing drive-access transit at a regional level is developed in this research. This framework is intended primarily for in-house use by regional transit agencies, yet has implications for the regional ...

  1. Interaction Region Issues at the NLC

    SciTech Connect (OSTI)

    Markiewicz, Thomas W.; Maruyama, T.; /SLAC

    2007-09-26T23:59:59.000Z

    Two detector concepts are being investigated for the Next Linear Collider. This paper discusses the current design of the interaction region for one of them, based on a 6 Tesla solenoid and silicon based tracking. Topics include masking layout, backgrounds and the suppression of final quadrupole jitter. All calculations are based on the 1 TeV design parameters.

  2. Southeast Regional Clean Energy Policy Analysis (Revised)

    SciTech Connect (OSTI)

    McLaren, J.

    2011-04-01T23:59:59.000Z

    More than half of the electricity produced in the southeastern states is fuelled by coal. Although the region produces some coal, most of the states depend heavily on coal imports. Many of the region's aging coal power facilities are planned for retirement within the next 20 years. However, estimates indicate that a 20% increase in capacity is needed over that time to meet the rapidly growing demand. The most common incentives for energy efficiency in the Southeast are loans and rebates; however, total public spending on energy efficiency is limited. The most common state-level policies to support renewable energy development are personal and corporate tax incentives and loans. The region produced 1.8% of the electricity from renewable resources other than conventional hydroelectricity in 2009, half of the national average. There is significant potential for development of a biomass market in the region, as well as use of local wind, solar, methane-to-energy, small hydro, and combined heat and power resources. Options are offered for expanding and strengthening state-level policies such as decoupling, integrated resource planning, building codes, net metering, and interconnection standards to support further clean energy development. Benefits would include energy security, job creation, insurance against price fluctuations, increased value of marginal lands, and local and global environmental paybacks.

  3. Finding Regions of Interest on Toroidal Meshes

    SciTech Connect (OSTI)

    Wu, Kesheng; Sinha, Rishi R; Jones, Chad; Ethier, Stephane; Klasky, Scott; Ma, Kwan-Liu; Shoshani, Arie; Winslett, Marianne

    2011-02-09T23:59:59.000Z

    Fusion promises to provide clean and safe energy, and a considerable amount of research effort is underway to turn this aspiration intoreality. This work focuses on a building block for analyzing data produced from the simulation of microturbulence in magnetic confinementfusion devices: the task of efficiently extracting regions of interest. Like many other simulations where a large amount of data are produced,the careful study of ``interesting'' parts of the data is critical to gain understanding. In this paper, we present an efficient approach forfinding these regions of interest. Our approach takes full advantage of the underlying mesh structure in magnetic coordinates to produce acompact representation of the mesh points inside the regions and an efficient connected component labeling algorithm for constructingregions from points. This approach scales linearly with the surface area of the regions of interest instead of the volume as shown with bothcomputational complexity analysis and experimental measurements. Furthermore, this new approach is 100s of times faster than a recentlypublished method based on Cartesian coordinates.

  4. Superfund Dredging Restoration Results in Widespread Regional

    E-Print Network [OSTI]

    Levinton, Jeffrey

    Superfund Dredging Restoration Results in Widespread Regional Reduction in Cadmium in Blue Crabs J connected to the Hudson River estuary. A major Superfund dredging cleanup in 1994-1995 removed most ofcadmiumsedimentconcentrationswithinthecovefollowing the cleanup. This unique study demonstrates the efficacy of a major dredging cleanup

  5. Root region airfoil for wind turbine

    DOE Patents [OSTI]

    Tangler, James L. (Boulder, CO); Somers, Dan M. (State College, PA)

    1995-01-01T23:59:59.000Z

    A thick airfoil for the root region of the blade of a wind turbine. The airfoil has a thickness in a range from 24%-26% and a Reynolds number in a range from 1,000,000 to 1,800,000. The airfoil has a maximum lift coefficient of 1.4-1.6 that has minimum sensitivity to roughness effects.

  6. Compilationof Regional to Global Inventoriesof Anthropogenic Emissions

    E-Print Network [OSTI]

    inventories of emissions of the trace species included in the study at the appropriate sectoral, spatial inventories calculated global emissions by large geographic areas (Vfkhelyi, 1985), with very little spatial to compile regional to global inventories of anthropogenic emissions. This discussion is by no means

  7. Regional Report New Jersey's New Economy

    E-Print Network [OSTI]

    Rutgers Regional Report New Jersey's New Economy Growth Challenges James W. Hughes Dean Edward J July 2006 #12;advanced new-economy peers--New York, Connecticut, and Massachusetts--have been experi- encing employment declines in the post­2000 period in a number of important "new economy" sectors

  8. Southern Region Water Quality Coordination Project

    E-Print Network [OSTI]

    an existing collaborative process through which new and existing technologies and management systems Committee (SRWQPC) promotes the development and delivery of effective management systems that can be adaptedSouthern Region Water Quality Coordination Project September 14, 2004 to June 1, 2005 Progress

  9. Magnetic Landscape of Sun's Polar Region

    E-Print Network [OSTI]

    S. Tsuneta; K. Ichimoto; Y. Katsukawa; B. W. Lites; K. Matsuzaki; S. Nagata; D. Orozco Suarez; T. Shimizu; M. Shimojo; R. A. Shine; Y. Suematsu; T. K. Suzuki; T. D. Tarbell; A. M. Title

    2008-08-08T23:59:59.000Z

    We present the magnetic landscape of the polar region of the Sun that is unprecedented in terms of high spatial resolution, large field of view, and polarimetric precision. These observations were carried out with the Solar Optical Telescope aboard \\emph{Hinode}. Using a Milne-Eddington inversion, we found many vertically-oriented magnetic flux tubes with field strength as strong as 1 kG that are scattered in latitude between 70-90 degree. They all have the same polarity, consistent with the global polarity of the polar region. The field vectors were observed to diverge from the center of the flux elements, consistent with a view of magnetic fields that expand and fan out with height. The polar region is also covered with ubiquitous horizontal fields. The polar regions are the source of the fast solar wind channelled along unipolar coronal magnetic fields whose photospheric source is evidently rooted in the strong field, vertical patches of flux. We conjecture that vertical flux tubes with large expansion around the photosphere-corona boundary serve as efficient chimneys for Alfven waves that accelerate the solar wind.

  10. Pennsylvania Institute of State and Regional Affairs

    E-Print Network [OSTI]

    Maroncelli, Mark

    SDCPa Pennsylvania State Data Center Institute of State and Regional Affairs Penn State Harrisburg 777 W. Harrisburg Pike Middletown, PA 17057-4898 Phone: (717) 948-6336 Fax: (717) 948-6754 E-mail: Pa in Pennsylvania since it was established at Penn State Harrisburg in 1973. The Institute was created as a means

  11. Patentanwlte in der Region Aachen Bauer, Dirk

    E-Print Network [OSTI]

    Rheinisch-Westfälische Technische Hochschule Aachen (RWTH)

    Patentanwälte in der Region Aachen Bauer, Dirk Patent- und Rechtsanwälte Bauer, Wagner, Priesmeyer, Klaus Dr. Patentanwälte Potthast & Spengler Auf der Rur, 52459 Inden Tel.: (02465) 86 29 144, mail@kleinespatent.de Busse, Frank Patent- und Rechtsanwälte Bauer, Wagner, Priesmeyer Grüner Weg 1, 52070 Aachen Tel.: (0241

  12. VANCOUVER FOREST REGION 2100 LABIEUX ROAD

    E-Print Network [OSTI]

    , Paul Kuster and Frank Ullmann, Operations Manager. Assistance in planning and fieldwork were provided days and work on weekends and nights. Funding for this project was provided by Her Majesty the Queen, through the Vancouver Regional Office Research budget and the Squamish Forest District operational budget

  13. Geology of the Shenandoah National Park Region

    E-Print Network [OSTI]

    Eaton, L. Scott

    1 Geology of the Shenandoah National Park Region 39th Annual Virginia Geological Field Conference October 2nd - 3rd, 2009 Scott Southworth U. S. Geological Survey L. Scott Eaton James Madison University Meghan H. Lamoreaux College of William & Mary William C. Burton U. S. Geological Survey Christopher M

  14. Quasar H II Regions During Cosmic Reionization

    E-Print Network [OSTI]

    Marcelo A. Alvarez; Tom Abel

    2007-09-10T23:59:59.000Z

    Cosmic reionization progresses as HII regions form around sources of ionizing radiation. Their average size grows continuously until they percolate and complete reionization. We demonstrate how this typical growth can be calculated around the largest, biased sources of UV emission, such as quasars, by further developing an analytical model based on the excursion set formalism. This approach allows us to calculate the sizes and growth of the HII regions created by the progenitors of any dark matter halo of given mass and redshift with a minimum of free parameters. Statistical variations in the size of these pre-existing HII regions are an additional source of uncertainty in the determination of very high redshift quasar properties from their observed HII region sizes. We use this model to demonstrate that the transmission gaps seen in very high redshift quasars can be understood from the radiation of only their progenitors and associated clustered small galaxies. The fit sets a lower limit on the redshift of overlap at z = 5.8 +/- 0.1. This interpretation makes the transmission gaps independent of the age of the quasars observed. If this interpretation were correct it would raise the prospects of using radio interferometers currently under construction to detect the epoch of reionization.

  15. Regional Transit System: Return on Investment Assessment

    E-Print Network [OSTI]

    Minnesota, University of

    Regional Transit System: Return on Investment Assessment May 2014 #12;1 Today's agenda Itasca transit options Enables strategic, efficient investment in long-term infrastructure, e.g., energy grid are seeking cities with good transit Transit can be a cost-efficient way to add capacity in corridors

  16. Crossing the Transition Region High Altitude Observatory,

    E-Print Network [OSTI]

    : enhanced emission at TR temperatures Much lower density in umbra and plume: (log(Ne/cm 3)=10 Lyman line profiles not reversed in umbra and plume TR above sunspots is higher and probably more extended than in the surrounding plage region ------plage -.-.-.penumbra ......umbra ____plume #12;Outline Recent observations

  17. Regional Focus on GM Crop Regulation

    E-Print Network [OSTI]

    Church, George M.

    Regional Focus on GM Crop Regulation THE RECENT MEDIA COVERAGE OF THE DEVEL- opments in Brazil for com- mercial genetically modified (GM) crops in both the scientific and regulatory arena. The release of GM crops in these coun- tries might result in the unintentional entry of GM seeds into neighboring

  18. PA Regional Nanotechnology Conference Nanotechnology for Industry

    E-Print Network [OSTI]

    Gilchrist, James F.

    4/19/2011 Present PA Regional Nanotechnology Conference Nanotechnology for Industry May 31, 2011 9 _____________________________________________________________ _____________The field of nanotechnology continues to be one of the leading forces behind our nation's ability to develop, commercialize, and produce advancements that are enabled by nanotechnology. Therefore, Drexel

  19. Southeast Regional Carbon Sequestration Partnership (SECARB)

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2005-09-30T23:59:59.000Z

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is a diverse partnership covering eleven states involving the Southern States Energy Board (SSEB) an interstate compact; regulatory agencies and/or geological surveys from member states; the Electric Power Research Institute (EPRI); academic institutions; a Native American enterprise; and multiple entities from the private sector. Figure 1 shows the team structure for the partnership. In addition to the Technical Team, the Technology Coalition, an alliance of auxiliary participants, in the project lends yet more strength and support to the project. The Technology Coalition, with its diverse representation of various sectors, is integral to the technical information transfer, outreach, and public perception activities of the partnership. The Technology Coalition members, shown in Figure 2, also provide a breadth of knowledge and capabilities in the multiplicity of technologies needed to assure a successful outcome to the project and serve as an extremely important asset to the partnership. The eleven states comprising the multi-state region are: Alabama; Arkansas; Florida; Georgia; Louisiana; Mississippi; North Carolina; South Carolina; Tennessee; Texas; and Virginia. The states making up the SECARB area are illustrated in Figure 3. The primary objectives of the SECARB project include: (1) Supporting the U.S. Department of Energy (DOE) Carbon Sequestration Program by promoting the development of a framework and infrastructure necessary for the validation and deployment of carbon sequestration technologies. This requires the development of relevant data to reduce the uncertainties and risks that are barriers to sequestration, especially for geologic storage in the SECARB region. Information and knowledge are the keys to establishing a regional carbon dioxide (CO{sub 2}) storage industry with public acceptance. (2) Supporting the President's Global Climate Change Initiative with the goal of reducing greenhouse gas intensity by 18 percent by 2012. A corollary to the first objective, this objective requires the development of a broad awareness across government, industry, and the general public of sequestration issues and establishment of the technological and legal frameworks necessary to achieve the President's goal. The information developed by the SECARB team will play a vital role in achieving the President's goal for the southeastern region of the United States. (3) Evaluating options and potential opportunities for regional CO{sub 2} sequestration. This requires characterization of the region regarding the presence and location of sources of greenhouse gases (GHGs), primarily CO{sub 2}, the presence and location of potential carbon sinks and geological parameters, geographical features and environmental concerns, demographics, state and interstate regulations, and existing infrastructure.

  20. SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHIP (SECARB)

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2004-09-01T23:59:59.000Z

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is on schedule and within budget projections for the work completed during the first year of its two year program. Work during the semiannual period (third and fourth quarter) of the project (April 1--September 30, 2004) was conducted within a ''Task Responsibility Matrix.'' Under Task 1.0 Define Geographic Boundaries of the Region, Texas and Virginia were added during the second quarter of the project and no geographical changes occurred during the third or fourth quarter of the project. Under Task 2.0 Characterize the Region, general mapping and screening of sources and sinks has been completed, with integration and Geographical Information System (GIS) mapping ongoing. The first step focused on the macro level characterization of the region. Subsequent characterization will focus on smaller areas having high sequestration potential. Under Task 3.0 Identify and Address Issues for Technology Deployment, SECARB has completed a preliminary assessment of safety, regulatory, permitting, and accounting frameworks within the region to allow for wide-scale deployment of promising terrestrial and geologic sequestration approaches. Under Task 4.0 Develop Public Involvement and Education Mechanisms, SECARB has conducted a survey and focus group meeting to gain insight into approaches that will be taken to educate and involve the public. Task 5.0 and 6.0 will be implemented beginning October 1, 2004. Under Task 5.0 Identify the Most Promising Capture, Sequestration, and Transport Options, SECARB will evaluate findings from work performed during the first year and shift the focus of the project team from region-wide mapping and characterization to a more detailed screening approach designed to identify the most promising opportunities. Under Task 6.0 Prepare Action Plans for Implementation and Technology Validation Activity, the SECARB team will develop an integrated approach to implementing and setting up measurement, monitoring and verification (MMV) programs for the most promising opportunities. During this semiannual period special attention was provided to Texas and Virginia, which were added to the SECARB region, to ensure a smooth integration of activities with the other 9 states. Milestones completed and submitted during the third and fourth quarter included: Q3-FY04--Complete initial development of plans for GIS; and Q4-FYO4--Complete preliminary action plan and assessment for overcoming public perception issues.

  1. SOUTHEAST REGIONAL CARBON SEQUESTRATION PARTNERSHP (SECARB)

    SciTech Connect (OSTI)

    Kenneth J. Nemeth

    2005-04-01T23:59:59.000Z

    The Southeast Regional Carbon Sequestration Partnership (SECARB) is on schedule and within budget projections for the work completed during the first 18-months of its two year program. Work during the semiannual period (fifth and sixth project quarters) of the project (October 1, 2004-March 31, 2005) was conducted within a ''Task Responsibility Matrix.'' Under Task 1.0 Define Geographic Boundaries of the Region, no changes occurred during the fifth or sixth quarters of the project. Under Task 2.0 Characterize the Region, refinements have been made to the general mapping and screening of sources and sinks. Integration and geographical information systems (GIS) mapping is ongoing. Characterization during this period was focused on smaller areas having high sequestration potential. Under Task 3.0 Identify and Address Issues for Technology Deployment, SECARB continues to expand upon its assessment of safety, regulatory, permitting, and accounting frameworks within the region to allow for wide-scale deployment of promising terrestrial and geologic sequestration approaches. Under Task 4.0 Develop Public Involvement and Education Mechanisms, SECARB has used results of a survey and focus group meeting to refine approaches that are being taken to educate and involve the public. Under Task 5.0 Identify the Most Promising Capture, Sequestration, and Transport Options, SECARB has evaluated findings from work performed during the first 18-months. The focus of the project team has shifted from region-wide mapping and characterization to a more detailed screening approach designed to identify the most promising opportunities. Under Task 6.0 Prepare Action Plans for Implementation and Technology Validation Activity, the SECARB team is developing an integrated approach to implementing the most promising opportunities and in setting up measurement, monitoring and verification (MMV) programs for the most promising opportunities. Milestones completed during the fifth and sixth project quarters included: (1) Q1-FY05--Assess safety, regulatory and permitting issues; and (2) Q2-FY05--Finalize inventory of major sources/sinks and refine GIS algorithms.

  2. adaptive localization regions: Topics by E-print Network

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

    22 23 24 25 Next Page Last Page Topic Index 1 Developing regional and local scenarios for climate change mitigation and adaptation Geosciences Websites Summary: Developing regional...

  3. american monsoon region: Topics by E-print Network

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

    and circulation in October Xue, Yongkang 30 Vegetation response to Holocene climate change in monsoon-influenced region Yan Zhao a, Geosciences Websites Summary: forest region;...

  4. Modeling-Computer Simulations At Nw Basin & Range Region (Biasi...

    Open Energy Info (EERE)

    Location Northwest Basin and Range Geothermal Region Exploration Technique Modeling-Computer Simulations Activity Date Usefulness useful regional reconnaissance DOE-funding...

  5. Wind energy resources atlas. Volume 1. Northwest region

    SciTech Connect (OSTI)

    Elliott, D.L.; Barchet, W.R.

    1980-04-01T23:59:59.000Z

    Information is presented concering regional wind energy resource assessment; regional features; and state features for Idaho, Montana, Oregon, Washington, and Wyoming.

  6. OE State and Regional Electricity Policy Assistance Program ...

    Energy Savers [EERE]

    OE State and Regional Electricity Policy Assistance Program OE State and Regional Electricity Policy Assistance Program The Office of Electricity Delivery and Energy Reliability...

  7. Passive Housing for an Aggressive Region | Department of Energy

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

    Passive Housing for an Aggressive Region Passive Housing for an Aggressive Region July 17, 2012 - 1:59pm Addthis Lynn Meyer Presidential Management Fellow, Office of Energy...

  8. Regional Networks for Energy Efficiency | Department of Energy

    Energy Savers [EERE]

    Regional Networks for Energy Efficiency Better Buildings Neighborhood Program Sustainability Peer Exchange Call: Regional Networks for Energy Efficiency, call slides and...

  9. ECOWAS Regional Centre for Renewable Energy and Energy Efficiency...

    Open Energy Info (EERE)

    ECOWAS Regional Centre for Renewable Energy and Energy Efficiency (ECREEE) (Redirected from West African Regional Centre for Renewable Energy and Energy Efficiency (ECREEE)) Jump...

  10. Regional Geology: GIS Database for Alternative Host Rocks and...

    Energy Savers [EERE]

    Regional Geology: GIS Database for Alternative Host Rocks and Potential Siting Guidelines Regional Geology: GIS Database for Alternative Host Rocks and Potential Siting Guidelines...

  11. Geodetic Survey At Walker-Lane Transitional Zone Region (Blewitt...

    Open Energy Info (EERE)

    Zone Region (Blewitt Et Al, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Geodetic Survey Activity Date...

  12. Field Mapping At Walker-Lane Transitional Zone Region (Shevenell...

    Open Energy Info (EERE)

    Region (Shevenell, Et Al., 2008) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness...

  13. Regional Variation in Residential Heat Pump Water Heater Performance...

    Energy Savers [EERE]

    Regional Variation in Residential Heat Pump Water Heater Performance in the United States Regional Variation in Residential Heat Pump Water Heater Performance in the United States...

  14. Elucidating graphene - Ionic Liquid interfacial region: a combined...

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

    graphene - Ionic Liquid interfacial region: a combined experimental and computational study. Elucidating graphene - Ionic Liquid interfacial region: a combined experimental and...

  15. Refraction Survey At Walker-Lane Transitional Zone Region (Heimgartner...

    Open Energy Info (EERE)

    Region (Heimgartner, Et Al., 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Refraction Survey Activity Date...

  16. Field Mapping At Walker-Lane Transitional Zone Region (Blewitt...

    Open Energy Info (EERE)

    Zone Region (Blewitt Et Al, 2005) Exploration Activity Details Location Walker-Lane Transition Zone Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness...

  17. May 29 Tribal Renewable Energy Webinar to Highlight Regional...

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

    9 Tribal Renewable Energy Webinar to Highlight Regional Transmission Planning Efforts May 29 Tribal Renewable Energy Webinar to Highlight Regional Transmission Planning Efforts May...

  18. anabaena variabilis regions: Topics by E-print Network

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

    more than any other region.1 These are the: 1) Western Alaska community development quota (CDQ) program; 2 250 North Pacific Regional Summary North Pacific Environmental...

  19. andean region salta: Topics by E-print Network

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

    more than any other region.1 These are the: 1) Western Alaska community development quota (CDQ) program; 2 260 North Pacific Regional Summary North Pacific Environmental...

  20. ashanti region ghana: Topics by E-print Network

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

    more than any other region.1 These are the: 1) Western Alaska community development quota (CDQ) program; 2 307 North Pacific Regional Summary North Pacific Environmental...

  1. asc ascarylose region: Topics by E-print Network

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

    more than any other region.1 These are the: 1) Western Alaska community development quota (CDQ) program; 2 313 North Pacific Regional Summary North Pacific Environmental...

  2. andes region: Topics by E-print Network

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

    more than any other region.1 These are the: 1) Western Alaska community development quota (CDQ) program; 2 274 North Pacific Regional Summary North Pacific Environmental...

  3. abortus ure2 region: Topics by E-print Network

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

    more than any other region.1 These are the: 1) Western Alaska community development quota (CDQ) program; 2 226 North Pacific Regional Summary North Pacific Environmental...

  4. adjacent regions implications: Topics by E-print Network

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

    in schizophrenia. A. Browne Browne, Antony 7 Regional Implications of Global Climate Change for the Great Environmental Sciences and Ecology Websites Summary: Regional...

  5. Washington Regions | U.S. DOE Office of Science (SC)

    Office of Science (SC) Website

    Regions National Science Bowl (NSB) NSB Home About High School Middle School Middle School Students Middle School Coaches Middle School Regionals Middle School Rules, Forms, and...

  6. Minnesota Regional Science Bowl for Middle School Students |...

    Office of Science (SC) Website

    Minnesota Regions Minnesota Regional Science Bowl for Middle School Students National Science Bowl (NSB) NSB Home About High School Middle School Middle School Students Middle...

  7. A Retrospective Filter Trust Region Algorithm For Unconstrained ...

    E-Print Network [OSTI]

    2010-01-05T23:59:59.000Z

    algorithm gives a good estimation of trust region radius, relaxes the condition of accepting a trial step for the usual trust region methods. Under reasonable ...

  8. DOE Releases EPRI Report on Benefits of Regional Coordination...

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

    Releases EPRI Report on Benefits of Regional Coordination in Wind Energy Transfers DOE Releases EPRI Report on Benefits of Regional Coordination in Wind Energy Transfers February...

  9. Energy Department Announces First Regional Gasoline Reserve to...

    Office of Environmental Management (EM)

    Announces First Regional Gasoline Reserve to Strengthen Fuel Resiliency Energy Department Announces First Regional Gasoline Reserve to Strengthen Fuel Resiliency May 2, 2014 -...

  10. Teleseismic-Seismic Monitoring At Nw Basin & Range Region (Biasi...

    Open Energy Info (EERE)

    Teleseismic-Seismic Monitoring At Nw Basin & Range Region (Biasi, Et Al., 2008) Exploration Activity Details Location Northwest Basin and Range Geothermal Region Exploration...

  11. Teleseismic-Seismic Monitoring At Northern Basin & Range Region...

    Open Energy Info (EERE)

    Location Northern Basin and Range Geothermal Region Exploration Technique Teleseismic-Seismic Monitoring Activity Date Usefulness useful regional reconnaissance DOE-funding...

  12. Field Mapping At Central Nevada Seismic Zone Region (Blewitt...

    Open Energy Info (EERE)

    Region (Blewitt, Et Al., 2003) Exploration Activity Details Location Central Nevada Seismic Zone Geothermal Region Exploration Technique Field Mapping Activity Date Usefulness...

  13. Teleseismic-Seismic Monitoring At Nw Basin & Range Region (Biasi...

    Open Energy Info (EERE)

    Teleseismic-Seismic Monitoring At Nw Basin & Range Region (Biasi, Et Al., 2009) Exploration Activity Details Location Northwest Basin and Range Geothermal Region Exploration...

  14. United States Regional Administrator Region 9, Arizona, California Environmental Protection 75 Haw thorne Street Haw aii, Nevada, Guam

    E-Print Network [OSTI]

    Hall, Sharon J.

    United States Regional Administrator Region 9, Arizona, California Environmental Protection 75 Haw Cities Network ASU Receives Environmental Award for Collaborative Sustainability Efforts SAN FRANCISCO - The U.S. Environmental Protection Agency's Regional Administrator Jared Blumenfeld today recognized

  15. The Midwest Regional Carbon Sequestration Partnership (MRCSP)

    SciTech Connect (OSTI)

    James J. Dooley; Robert Dahowski; Casie Davidson

    2005-12-01T23:59:59.000Z

    This final report summarizes the Phase I research conducted by the Midwest regional Carbon Sequestration Partnership (MRCSP). The Phase I effort began in October 2003 and the project period ended on September 31, 2005. The MRCSP is a public/private partnership led by Battelle with the mission of identifying the technical, economic, and social issues associated with implementation of carbon sequestration technologies in its seven state geographic region (Indiana, Kentucky, Maryland, Michigan, Ohio, Pennsylvania, and West Virginia) and identifying viable pathways for their deployment. It is one of seven partnerships that together span most of the U.S. and parts of Canada that comprise the U.S. Department of Energy's (DOE's) Regional Carbon Sequestration Program led by DOE's national Energy Technology Laboratory (NETL). The MRCSP Phase I research was carried out under DOE Cooperative Agreement No. DE-FC26-03NT41981. The total value of Phase I was $3,513,513 of which the DOE share was $2,410,967 or 68.62%. The remainder of the cost share was provided in varying amounts by the rest of the 38 members of MRCSP's Phase I project. The next largest cost sharing participant to DOE in Phase I was the Ohio Coal Development Office within the Ohio Air Quality Development Authority (OCDO). OCDO's contribution was $100,000 and was contributed under Grant Agreement No. CDO/D-02-17. In this report, the MRCSP's research shows that the seven state MRCSP region is a major contributor to the U. S. economy and also to total emissions of CO2, the most significant of the greenhouse gases thought to contribute to global climate change. But, the research has also shown that the region has substantial resources for sequestering carbon, both in deep geological reservoirs (geological sequestration) and through improved agricultural and land management practices (terrestrial sequestration). Geological reservoirs, especially deep saline reservoirs, offer the potential to permanently store CO2 for literally 100s of years even if all the CO2 emissions from the region's large point sources were stored there, an unlikely scenario under any set of national carbon emission mitigation strategies. The terrestrial sequestration opportunities in the region have the biophysical potential to sequester up to 20% of annual emissions from the region's large point sources of CO2. This report describes the assumptions made and methods employed to arrive at the results leading to these conclusions. It also describes the results of analyses of regulatory issues in the region affecting the potential for deployment of sequestration technologies. Finally, it describes the public outreach and education efforts carried out in Phase I including the creation of a web site dedicated to the MRCSP at www.mrcsp.org.

  16. Water Masers Toward Ultracompact HII Regions

    E-Print Network [OSTI]

    S. Kurtz; P. Hofner

    2005-07-01T23:59:59.000Z

    We present a survey in the 6_{16}-5_{23} rotational water transition toward 33 galactic ultracompact HII regions. Maser emission is detected toward 18 of these sources; two are new detections. High quality spectra are provided for all 18 sources. We discuss the detection rate of this survey and the correlation of various maser properties with other physical parameters. In addition, we report wide-bandwidth (316 km/s), moderate-resolution (~ 3'') water maser observations of the HH80-81 region. We report the first detection of water maser emission at the approximate velocity of the molecular core. This emission is coincident with the extreme tip of the thermal jet, and well-removed from the much stronger and well-known maser emission at the position of VLA-3.

  17. Root region airfoil for wind turbine

    DOE Patents [OSTI]

    Tangler, J.L.; Somers, D.M.

    1995-05-23T23:59:59.000Z

    A thick airfoil is described for the root region of the blade of a wind turbine. The airfoil has a thickness in a range from 24%--26% and a Reynolds number in a range from 1,000,000 to 1,800,000. The airfoil has a maximum lift coefficient of 1.4--1.6 that has minimum sensitivity to roughness effects. 3 Figs.

  18. West Central Texas Regional Transportation Final Report

    E-Print Network [OSTI]

    West Central Texas Council of Governments

    "Best Practice" Approach with Respect to Medical Transportation Program. The Medical Transportation Program is the outstanding example of successful recent regional coordination in West Central Texas. Recommendation # 1 - Coordinated... trips. CARR provides a significant level of demand response service within Brown County to Brownwood. Service is provided to other communities in Brown County such as Bangs, May, Rising Star and Zephyr. No service is provided to Abilene. No human...

  19. Regional Service Planning for the Coastal Bend

    E-Print Network [OSTI]

    Coastal Bend Council of Governments

    2006-12-01T23:59:59.000Z

    the most effective transportation possible with available resources. Coordinated Planning: ? SAFETEA-LU requires the establishment of a locally developed, coordinated public transit-human services transportation plan for all FTA human service... their service area, but 8 cite a lack of funding, community awareness, and resources as barriers to development. Corpus Christi Regional Transportation Authority: The CCRTA is the metropolitan transit authority that serves Corpus Christi and parts...

  20. Assistance Focus: Asia/Pacific Region (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2015-01-01T23:59:59.000Z

    The Clean Energy Solutions Center Ask an Expert service connects governments seeking policy information and advice with one of more than 30 global policy experts who can provide reliable and unbiased quick-response advice and information. The service is available at no cost to government agency representatives from any country and the technical institutes assisting them. This publication presents summaries of assistance provided to governments in the Asia/Pacific region, including the benefits of that assistance.

  1. GLOBAL DYNAMICS OF SUBSURFACE SOLAR ACTIVE REGIONS

    SciTech Connect (OSTI)

    Jouve, L. [UPS-OMP, Institut de Recherche en Astrophysique et Planetologie, Universite de Toulouse CNRS, 14 Avenue Edouard Belin, F-31400 Toulouse (France)] [UPS-OMP, Institut de Recherche en Astrophysique et Planetologie, Universite de Toulouse CNRS, 14 Avenue Edouard Belin, F-31400 Toulouse (France); Brun, A. S. [Laboratoire AIM, CEA/DSM-CNRS-Universite Paris Diderot, IRFU/SAp, F-91191 Gif sur Yvette (France)] [Laboratoire AIM, CEA/DSM-CNRS-Universite Paris Diderot, IRFU/SAp, F-91191 Gif sur Yvette (France); Aulanier, G., E-mail: ljouve@irap.omp.eu [LESIA, Observatoire de Paris, CNRS, UPMC, Universite Paris-Diderot, 5 Place Jules Janssen, F-92190 Meudon Cedex (France)

    2013-01-01T23:59:59.000Z

    We present three-dimensional numerical simulations of a magnetic loop evolving in either a convectively stable or unstable rotating shell. The magnetic loop is introduced into the shell in such a way that it is buoyant only in a certain portion in longitude, thus creating an {Omega}-loop. Due to the action of magnetic buoyancy, the loop rises and develops asymmetries between its leading and following legs, creating emerging bipolar regions whose characteristics are similar to those of observed spots at the solar surface. In particular, we self-consistently reproduce the creation of tongues around the spot polarities, which can be strongly affected by convection. We further emphasize the presence of ring-shaped magnetic structures around our simulated emerging regions, which we call 'magnetic necklace' and which were seen in a number of observations without being reported as of today. We show that those necklaces are markers of vorticity generation at the periphery and below the rising magnetic loop. We also find that the asymmetry between the two legs of the loop is crucially dependent on the initial magnetic field strength. The tilt angle of the emerging regions is also studied in the stable and unstable cases and seems to be affected both by the convective motions and the presence of a differential rotation in the convective cases.

  2. Physically Based Global Downscaling: Regional Evaluation

    SciTech Connect (OSTI)

    Ghan, Steven J.; Shippert, Timothy R.; Fox, Jared

    2006-02-01T23:59:59.000Z

    The climate simulated by a global atmosphere/land model with a physically-based subgrid orography scheme is evaluated in ten selected regions. Climate variables simulated for each of multiple elevation classes within each grid cell are mapped according the high-resolution distribution of surface elevation in each region. Comparison of the simulated annual mean climate with gridded observations leads to the following conclusions. At low to moderate elevations the downscaling scheme correctly simulates increasing precipitation, decreasing temperature, and increasing snow with increasing elevation within regions smaller than 100 km. At high elevations the downscaling scheme correctly simulates a decrease in precipitation with increasing elevation. Too little precipitation is simulated on the windward side of mountain ranges and too much precipitation is simulated on the lee side. The simulated sensitivity of surface air temperature to surface elevation is too strong, particularly in valleys influenced by drainage circulations. Observations show little evidence of a “snow shadow”, so the neglect of the subgrid rainshadow does not produce an unrealistic simulation of the snow distribution. Summertime snow area, which is a proxy for land ice, is much larger than observed. Summertime snow water equivalent is far less than the observed thickness of glaciers because a 1 m upper bound on snow water is applied to the simulations and because snow transport by slides is neglected. The 1 m upper bound on snow water equivalent also causes an underestimate of seasonal snow water during late winter, compared with gridded station measurements. Potential solutions to these problems are discussed.

  3. OBSERVING CORONAL NANOFLARES IN ACTIVE REGION MOSS

    SciTech Connect (OSTI)

    Testa, Paola; DeLuca, Ed; Golub, Leon; Korreck, Kelly; Weber, Mark [Smithsonian Astrophysical Observatory, 60 Garden street, MS 58, Cambridge, MA 02138 (United States); De Pontieu, Bart; Martinez-Sykora, Juan; Title, Alan [Lockheed Martin Solar and Astrophysics Lab, Org. A021S, Bldg. 252, 3251 Hanover Street, Palo Alto, CA 94304 (United States); Hansteen, Viggo [Institute of Theoretical Astrophysics, University of Oslo, P.O. Box 1029 Blindern, N-0315 Oslo (Norway); Cirtain, Jonathan; Winebarger, Amy; Kobayashi, Ken [NASA Marshall Space Flight Center, ZP 13, Huntsville, AL 35812 (United States); Kuzin, Sergey [P. N. Lebedev Physical institute of the Russian Academy of Sciences, Leninskii prospekt, 53, 119991 Moscow (Russian Federation); Walsh, Robert [University of Central Lancashire, Lancashire, Preston PR1 2HE (United Kingdom); DeForest, Craig, E-mail: ptesta@cfa.harvard.edu [Southwest Research Institute, 1050 Walnut Street, Suite 300, Boulder, CO 80302 (United States)

    2013-06-10T23:59:59.000Z

    The High-resolution Coronal Imager (Hi-C) has provided Fe XII 193A images of the upper transition region moss at an unprecedented spatial ({approx}0.''3-0.''4) and temporal (5.5 s) resolution. The Hi-C observations show in some moss regions variability on timescales down to {approx}15 s, significantly shorter than the minute-scale variability typically found in previous observations of moss, therefore challenging the conclusion of moss being heated in a mostly steady manner. These rapid variability moss regions are located at the footpoints of bright hot coronal loops observed by the Solar Dynamics Observatory/Atmospheric Imaging Assembly in the 94 A channel, and by the Hinode/X-Ray Telescope. The configuration of these loops is highly dynamic, and suggestive of slipping reconnection. We interpret these events as signatures of heating events associated with reconnection occurring in the overlying hot coronal loops, i.e., coronal nanoflares. We estimate the order of magnitude of the energy in these events to be of at least a few 10{sup 23} erg, also supporting the nanoflare scenario. These Hi-C observations suggest that future observations at comparable high spatial and temporal resolution, with more extensive temperature coverage, are required to determine the exact characteristics of the heating mechanism(s).

  4. Regional Effort to Deploy Clean Coal Technologies

    SciTech Connect (OSTI)

    Gerald Hill; Kenneth Nemeth; Gary Garrett; Kimberly Sams

    2009-01-31T23:59:59.000Z

    The Southern States Energy Board's (SSEB) 'Regional Effort to Deploy Clean Coal Technologies' program began on June 1, 2003, and was completed on January 31, 2009. The project proved beneficial in providing state decision-makers with information that assisted them in removing barriers or implementing incentives to deploy clean coal technologies. This was accomplished through two specific tasks: (1) domestic energy security and diversity; and (2) the energy-water interface. Milestones accomplished during the project period are: (1) Presentations to Annual Meetings of SSEB Members, Associate Member Meetings, and the Gasification Technologies Council. (2) Energy: Water reports - (A) Regional Efforts to Deploy Clean Coal Technologies: Impacts and Implications for Water Supply and Quality. June 2004. (B) Energy-Water Interface Challenges: Coal Bed Methane and Mine Pool Water Characterization in the Southern States Region. 2004. (C) Freshwater Availability and Constraints on Thermoelectric Power Generation in the Southeast U.S. June 2008. (3) Blackwater Interactive Tabletop Exercise - Decatur, Georgia April 2007. (4) Blackwater Report: Blackwater: Energy and Water Interdependency Issues: Best Practices and Lessons Learned. August 2007. (5) Blackwater Report: BLACKWATER: Energy Water Interdependency Issues REPORT SUMMARY. April 2008.

  5. Northern New Mexico regional airport market feasibility

    SciTech Connect (OSTI)

    Drake, R.H.; Williams, D.S.

    1998-06-01T23:59:59.000Z

    This report is about the market for airline travel in northern New Mexico. Interest in developing a northern New Mexico regional airport has periodically surfaced for a number of years. The New Mexico State Legislature passed a memorial during the 1998 Second Session calling for the conduct of a study to determine the feasibility of building a new regional airport in NNM. This report is a study of the passenger market feasibility of such an airport. In addition to commercial passenger market feasibility, there are other feasibility issues dealing with siting, environmental impact, noise, economic impact, intermodal transportation integration, region-wide transportation services, airport engineering requirements, and others. These other feasibility issues are not analyzed in any depth in this report although none were discovered to be show-stoppers as a by-product of the authors doing research on the passenger market itself. Preceding the need for a detailed study of these other issues is the determination of the basic market need for an airport with regular commercial airline service in the first place. This report is restricted to an in-depth look at the market for commercial passenger air service in NNM. 20 figs., 8 tabs.

  6. Regional Energy Deployment System (ReEDS)

    SciTech Connect (OSTI)

    Short, W.; Sullivan, P.; Mai, T.; Mowers, M.; Uriarte, C.; Blair, N.; Heimiller, D.; Martinez, A.

    2011-12-01T23:59:59.000Z

    The Regional Energy Deployment System (ReEDS) is a deterministic optimization model of the deployment of electric power generation technologies and transmission infrastructure throughout the contiguous United States into the future. The model, developed by the National Renewable Energy Laboratory's Strategic Energy Analysis Center, is designed to analyze the critical energy issues in the electric sector, especially with respect to potential energy policies, such as clean energy and renewable energy standards or carbon restrictions. ReEDS provides a detailed treatment of electricity-generating and electrical storage technologies and specifically addresses a variety of issues related to renewable energy technologies, including accessibility and cost of transmission, regional quality of renewable resources, seasonal and diurnal generation profiles, variability of wind and solar power, and the influence of variability on the reliability of the electrical grid. ReEDS addresses these issues through a highly discretized regional structure, explicit statistical treatment of the variability in wind and solar output over time, and consideration of ancillary services' requirements and costs.

  7. The logic of regionalism: a comparative study of regionalism in Europe and Asia 

    E-Print Network [OSTI]

    Kim, Mi-Kyung

    2005-02-17T23:59:59.000Z

    the balance between the state?s public power and the state?s market governability, consequently resulting in a political convergence toward a majoritarian political system based on individualism and delegative democracy. However, regionalism is realized...

  8. Studying Transition Region Phenomena with Solar-B/EIS

    E-Print Network [OSTI]

    P. R. Young

    2007-08-13T23:59:59.000Z

    Transition region lines in active regions can become strongly enhanced in coronal footpoints and active region blinkers. The weak transition region lines found in the Solar-B/EIS wavebands will thus become useful for diagnostic studies of these events. EIS count rates predicted from SOHO/CDS spectra are presented, and a Mg VII density diagnostic is highlighted.

  9. Energy Information Administration - Commercial Energy Consumption...

    Gasoline and Diesel Fuel Update (EIA)

    6A. Electricity Expenditures by Census Region for All Buildings, 2003 Total Electricity Expenditures (million dollars) Electricity Expenditures (dollars) per kWh per Square Foot...

  10. --No Title--

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    5. Electricity Consumption and Conditional Energy Intensity by Census Region for Non-Mall Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  11. Energy Information Administration - Commercial Energy Consumption...

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    5A. Electricity Consumption and Conditional Energy Intensity by Census Region for All Buildings, 2003 Total Electricity Consumption (billion kWh) Total Floorspace of Buildings...

  12. EEO Employment Data Allegheny County

    E-Print Network [OSTI]

    Sibille, Etienne

    EEO Employment Data for Allegheny County and the Pittsburgh region February 2008 University Center................................................................................................................. 2 Employment Summary by EEO Occupation Group............................................................................... 3 Employment by Detail Census Occupation Category

  13. The Chimalapas Region, Oaxaca, Mexico: a high-priority region for bird conservation in Mesoamerica

    E-Print Network [OSTI]

    Peterson, A. Townsend; Navarro-Sigü enza, Adolfo G.; Herná ndez-Bañ os, Blanca E.; Escalona-Segura, Griselda; Rebó n-Gallardo, Fanny; Rodrí guez-Ayala, Emir; Figueroa-Esquivel, Elsa M.; Cabrera-Garcí a, Leonardo

    2003-01-01T23:59:59.000Z

    The Chimalapas lie in the easternmost corner of Oaxaca (Figure 1), at the shared border of Oaxaca, Veracruz and Chiapas. With Chajul (Chiapas) and Calakmul (Campeche) they rank among the largest pristine tropical regions of Mexico, holding an impressive number... of vegetation types, including cloud forest, trop- ical rainforest, semi-deciduous tropical forest, humid pine-oak forest, and deciduous tropical forest (Binford 1989, Wendt 1989, 1993; Figure 2). The region had its geological origins in the Upper Cretaceous...

  14. AVOCADO: A Virtual Observatory Census to Address Dwarfs Origins

    E-Print Network [OSTI]

    Sánchez-Janssen, Rubén

    2011-01-01T23:59:59.000Z

    Dwarf galaxies are by far the most abundant of all galaxy types, yet their properties are still poorly understood -especially due to the observational challenge that their intrinsic faintness represents. AVOCADO aims at establishing firm conclusions on their formation and evolution by constructing a homogeneous, multiwavelength dataset for a statistically significant sample of several thousand nearby dwarfs (-18 < Mi < -14). Using public data and Virtual Observatory tools, we have built GALEX+SDSS+2MASS spectral energy distributions that are fitted by a library of single stellar population models. Star formation rates, stellar masses, ages and metallicities are further complemented with structural parameters that can be used to classify them morphologically. This unique dataset, coupled with a detailed characterization of each dwar's environment, allows for a fully comprehensive investigation of their origins and to track the (potential) evolutionary paths between the different dwarf types.

  15. Census of transient orbital resonances encountered during binary inspiral

    E-Print Network [OSTI]

    Ruangsri, Uchupol

    Transient orbital resonances have recently been identified as potentially important to the inspiral of small bodies into large black holes. These resonances occur as the inspiral evolves through moments in which two ...

  16. Importing the US 1990 Census Data into a Relational DBMS

    E-Print Network [OSTI]

    McBrien, Peter

    . of Computing, Imperial College, 180 Queen's Gate, London SW7 2BZ pjm@doc.ic.ac.uk Tuesday 9 th April 2002 1

  17. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr &Hum CLCS-Classics CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature-Materials Engineering MUS MUS-Music History & Theory NRES NRES-Natural Res & Environ Sci NUCL NUCL-Nuclear Engineering

  18. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    -Natural Res & Environ Sci NUCL NUCL-Nuclear Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech #12-Orgnztnl Bhvr &Hum Resrce OLS OLS-Organiz Ldrshp&Supervision PHAD PHAD-Pharmacy Administration PHIL PHIL

  19. FRZ Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    -Naval Science NUCL NUCL-Nuclear Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Orgnztnl Bhvr Description CLCS CLCS-Classics CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL &Hum Resrce OLS OLS-Organiz Ldrshp&Supervision PES PES-Physical Education Skills PHAD PHAD-Pharmacy

  20. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUCL NUCL-Nuclear Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL-Comparative Literature CNIT CNIT-Computer & Info Tech COM Skills PHAD PHAD-Pharmacy Administration PHIL PHIL-Philosophy PHPR PHPR-Pharmacy Practice PHRM PHRM-Pharmacy

  1. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    & Environ Sci NUCL NUCL-Nuclear Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Chinese CIC CIC Traveling Scholar CLCS CLCS-Classics CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market-Orgnztnl Bhvr &Hum Resrce OLS OLS-Organiz Ldrshp&Supervision PHAD PHAD-Pharmacy Administration PHIL PHIL

  2. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUCL NUCL-Nuclear Engineering NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing OBHR OBHR-Orgnztnl Bhvr &Hum Description CLCS CLCS-Classics CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market CMPL CMPL Resrce OLS OLS-Organiz Ldrshp&Supervision PES PES-Physical Education Skills PHAD PHAD-Pharmacy

  3. Section Enrollment Report (CENSUS) -Table of Contents Subject Description

    E-Print Network [OSTI]

    Ginzel, Matthew

    NUPH NUPH-Nuclear Pharmacy NUR NUR-Nursing NUTR NUTR-Nutrition Science OBHR OBHR-Orgnztnl Bhvr &Hum-Chinese CIC CIC Traveling Scholar CLCS CLCS-Classics CLPH CLPH-Clinical Pharmacy CMCI CMCI-CIC Common Market-Materials Engineering MUS MUS-Music History & Theory NRES NRES-Natural Res & Environ Sci NUCL NUCL-Nuclear Engineering

  4. Wade Hampton Census Area, Alaska: Energy Resources | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTown ofNationwide Permit webpage Jump to:Wachapreague, Virginia:

  5. http://factfinder.census.gov/servlet/MetadataBrowserServlet?typ

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythemeansI MEDIAN HOUSEHOLD INCOME IN

  6. http://factfinder.census.gov/servlet/MetadataBrowserServlet?typ

    National Nuclear Security Administration (NNSA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn AprilAElectronic Input Options Gary L. Hirsch SNLMaythemeansI MEDIAN HOUSEHOLD INCOME

  7. Table 38. Coal Stocks at Coke Plants by Census Division

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO) Highlights1,943,742Coalbed20112011

  8. Yukon-Koyukuk Census Area, Alaska: Energy Resources | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin: EnergyWyandanch, NewYanceyYokayoYorktownYukon,

  9. National Solar Schools Census 2014 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative JC3 RSS September 9, 2013 V-237:Multimedia andStudyLabs areNational Security

  10. Aleutians West Census Area, Alaska: Energy Resources | Open Energy

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:Ezfeedflag JumpID-fTriWildcat 1AMEEAisin SeikiandAlcopar Jump to:Alden,East

  11. Bethel Census Area, Alaska: Energy Resources | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to:EzfeedflagBiomass ConversionsSouth Carolina:

  12. National Solar Schools Census 2014 | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page onYouTube YouTube Note: Since the.pdfBreaking ofOilNEW HAMPSHIRE BUILDSEnergy 1DepartmentAugustNationalMay

  13. Lake Region Electric Cooperative | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere I Geothermal Pwer Plant Jump to: navigation,working-groupsIllinois:Lake Region Electric Cooperative

  14. EIA - Natural Gas Pipeline System - Midwest Region

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877 951,322DevelopmentConfigurationMidwest Region

  15. EIA - Natural Gas Pipeline System - Southwest Region

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest Region About U.S. Natural Gas Pipelines

  16. EIA - Natural Gas Pipeline System - Western Region

    Annual Energy Outlook 2013 [U.S. Energy Information Administration (EIA)]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688 760,877Southwest Region About U.S. Natural Gas

  17. Enforcement Policy Statement: Regional Standards Enforcement Rulemaking

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011AT&T,OfficeEnd of Year 2010 SNFEnergySession0-02 - December 23,EnergyRegional

  18. Regional Standards Enforcement Policy | Department of Energy

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 1112011 Strategic2 OPAM615_CostNSAR -Department of Energy RecoveryofRegional Standards

  19. Holocene Magmatic Geothermal Region | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are beingZealand Jump to: navigation, search OpenEIHesperia, California: EnergyHolocene Magmatic Geothermal Region

  20. Pennsylvania Regional Infrastructure Project | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin of Contamination in235-1 TermoelectricaPaving the path forIn-Vehicle,Pennsylvania Regional