Sample records for industrial output growth

  1. Trade policy and its impact on economic growth: Can openness speed up output growth?

    E-Print Network [OSTI]

    Krivobokova, Tatyana

    Trade policy and its impact on economic growth: Can openness speed up output growth? Felicitas Nowak-Lehmann D. 1. Introduction ''Economic theory generally supports the conclusion that trade trade, while others have failed to demonstrate this linkage''. (U. S. International Trade Commission

  2. New Model Demonstrates Offshore Wind Industry's Job Growth Potential...

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

    Model Demonstrates Offshore Wind Industry's Job Growth Potential New Model Demonstrates Offshore Wind Industry's Job Growth Potential May 18, 2015 - 3:11pm Addthis The U.S....

  3. Apparatus for silicon web growth of higher output and improved growth stability

    DOE Patents [OSTI]

    Duncan, Charles S. (Penn Hills, PA); Piotrowski, Paul A. (Monroeville, PA)

    1989-01-01T23:59:59.000Z

    This disclosure describes an apparatus to improve the web growth attainable from prior web growth configurations. This apparatus modifies the heat loss at the growth interface in a manner that minimizes thickness variations across the web, especially regions of the web adjacent to the two bounding dendrites. In the unmodified configuration, thinned regions of web, adjacent to the dendrites, were found to be the origin of crystal degradation which ultimately led to termination of the web growth. According to the present invention, thinning adjacent to the dendrites is reduced and the incidence of crystal degradation is similarly reduced.

  4. Geothermal Energy Growth Continues, Industry Survey Reports

    Broader source: Energy.gov [DOE]

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

  5. innovati nNREL's Industry Growth Forum Boosts Clean Energy

    E-Print Network [OSTI]

    innovati nNREL's Industry Growth Forum Boosts Clean Energy Commercialization Efforts For more than's premier event for early-stage clean energy investment. The forum features presentations from the most innovative, promising, and emergent clean energy companies; provocative panels led by thought leaders

  6. Industrial policy and the Indian electronics industry

    E-Print Network [OSTI]

    Love, Robert (Robert Eric)

    2008-01-01T23:59:59.000Z

    Recently, production within India's Electronics sector amounted to a low $12 billion when compared to the global output of $1400 billion. The slow growth in the local industry is often judged to be the result of late ...

  7. Output Growth and Its Volatility: The Gold Standard through the Great Moderation

    E-Print Network [OSTI]

    Ahmad, Sajjad

    of real GDP growth and some form of a generalized autoregressive conditional heteroskedasticity (GARCH GARCH or exponential GARCH (EGARCH) process, capturing the movement in volatility. The neglect persistence in the conditional volatility or integrated GARCH (IGARCH). That is, typically all persistence

  8. Looking Ahead - Biofuels, H2, & Vehicles: 21st Industry Growth Forum

    SciTech Connect (OSTI)

    Gardner, D.

    2008-10-28T23:59:59.000Z

    This presentation on the future of biofuels, hydrogen, and hybrid vehicles was presented at NREL's 21st Industry Growth Forum in Denver, Colorado, on October 28, 2008.

  9. 22nd NREL Industry Growth Forum Opening Remarks - Day 2 (Presentation)

    SciTech Connect (OSTI)

    Perry, T.

    2009-11-04T23:59:59.000Z

    A presentation at the 22nd Industry Growth Forum by Tod Perry that provides information and statistics about the presenting companies.

  10. Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State Level, 19631997

    E-Print Network [OSTI]

    Growth and Technological Leadership in US Industries: A Spatial Econometric Analysis at the State, industry level, technological leadership, spatial econometrics JEL codes: C21, I23, O33, R12 Copyright 2007 spatial econometric techniques, and focus on capturing the geographical dimension of growth

  11. Growth, Industrialization, and the Intergenerational Correlation of Advantage

    E-Print Network [OSTI]

    Levine, David I.; Jellema, Jon R.

    2005-01-01T23:59:59.000Z

    Advantage The shift from feudalism to industrial capitalismranging from European feudalism and the Indian caste systemrigidity of Western-style feudalism and other pre-capitalist

  12. Sustainability Policy and Green Growth of the South Korean Construction Industry 

    E-Print Network [OSTI]

    Jeong, Hwayeon

    2011-10-21T23:59:59.000Z

    South Korea is among a host of countries trying to achieve sustainable development across whole industry sectors by adopting "Green Growth" as the vision of the national development in the Korean government. The government has executed a vast effort...

  13. Economic Impact of Alternative Growth Promotant Strategies on the United States Beef Industry.

    E-Print Network [OSTI]

    Williams, R. Lynn; Dietrich, R.A.; Byers, F.M.

    1991-01-01T23:59:59.000Z

    - -TDOC Z TA24S .7 8873 NO.1701 ? ? B-1701 December 1991 of Alternative Growth Promotant Strategies on the United States Beef Industry The Texas Agricultural Experiment Station J. Charles Lee, Interim Director The Texas A&M University...

  14. An analysis of industrial composition and growth in the Upper Rio Grande State Planning Region

    E-Print Network [OSTI]

    Zeghidi, Khaled

    1978-01-01T23:59:59.000Z

    . Jones The purpose of this study was to describe in detail the indus- trial composition and past growth of a six-county area of the Upper Rio Grande State Planning Region, and identify the industries in which each county had a comparative advantage.... Knowledge of the historical changes, the composition of in- dustries and industries for which an area has comparative advantages is important in regional economic development efforts. The measure- ment of industrial mix and competitive-share of a given...

  15. Global investments for sustainable growth in the wireless telecommunication industry

    E-Print Network [OSTI]

    Matsuda, Osamu, M.B.A. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    Since its establishment in 1992, NTT DoCoMo had accomplished rapid growth by developing innovative strategies and meeting consumer demands. However, the population-based penetration rate of Japanese wireless phones now ...

  16. Knowledge Diffusion and Industry Growth By Serguey Braguinsky

    E-Print Network [OSTI]

    Braguinsky, Serguey

    knowledge transmission but also a competitive environment that rewards the right kind of knowledge and human-to-firm transmission of technological and managerial choices. But not all knowledge is created equal. We document both cotton spinning industry circa late 19th century, which paved the way for this country's ascendance

  17. NREL: Continuum Magazine - Industry Growth Forum Cultivates Clean Energy

    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: National5Saleshttp://www.fnal.gov/directorate/nalcal/nalcal02_07_05_files/nalcal.gifNREL NRELChemicalIndustry Photo of a

  18. A Survey of the U.S. ESCO Industry: Market Growth and Development from 2008 to 2011

    E-Print Network [OSTI]

    Satchwell, Andrew

    2010-01-01T23:59:59.000Z

    Market Trends in the U.S. ESCO Industry: Results from the2007. “A Survey of the U.S. ESCO Industry: Market Growth andInstitutional Markets for ESCO Services: Comparing Programs,

  19. The Role of Policy in PV Industry Growth: Past, Present and Future

    E-Print Network [OSTI]

    Delaware, University of

    Kurdgelashvili Center for Energy and Environmental Policy, University of Delaware, USA 2.1 INTRODUCTION Recently, new building codes requiring zero- energy capable operation, and solar energy mandates) and public2 The Role of Policy in PV Industry Growth: Past, Present and Future John Byrne and Lado

  20. AEO2014: Preliminary Industrial Output

    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'26,282.1chemical7Host and Presentor3 Oil andFor AEO

  1. Comparisons of four categories of waste recycling in China's paper industry based on physical input-output life-cycle assessment model

    SciTech Connect (OSTI)

    Liang Sai [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Zhang, Tianzhu, E-mail: zhangtz@mail.tsinghua.edu.cn [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); Xu Yijian [School of Environment, State Key Joint Laboratory of Environment Simulation and Pollution Control, Tsinghua University, Beijing 100084 (China); China Academy of Urban Planning and Design, Beijing 100037 (China)

    2012-03-15T23:59:59.000Z

    Highlights: Black-Right-Pointing-Pointer Using crop straws and wood wastes for paper production should be promoted. Black-Right-Pointing-Pointer Bagasse and textile waste recycling should be properly limited. Black-Right-Pointing-Pointer Imports of scrap paper should be encouraged. Black-Right-Pointing-Pointer Sensitivity analysis, uncertainties and policy implications are discussed. - Abstract: Waste recycling for paper production is an important component of waste management. This study constructs a physical input-output life-cycle assessment (PIO-LCA) model. The PIO-LCA model is used to investigate environmental impacts of four categories of waste recycling in China's paper industry: crop straws, bagasse, textile wastes and scrap paper. Crop straw recycling and wood utilization for paper production have small total intensity of environmental impacts. Moreover, environmental impacts reduction of crop straw recycling and wood utilization benefits the most from technology development. Thus, using crop straws and wood (including wood wastes) for paper production should be promoted. Technology development has small effects on environmental impacts reduction of bagasse recycling, textile waste recycling and scrap paper recycling. In addition, bagasse recycling and textile waste recycling have big total intensity of environmental impacts. Thus, the development of bagasse recycling and textile waste recycling should be properly limited. Other pathways for reusing bagasse and textile wastes should be explored and evaluated. Moreover, imports of scrap paper should be encouraged to reduce large indirect impacts of scrap paper recycling on domestic environment.

  2. NREL's Industry Growth Forum Boosts Clean Energy Commercialization Efforts (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2010-12-01T23:59:59.000Z

    For more than a decade, the National Renewable Energy Laboratory's (NREL) Industry Growth Forum has been the nation's premier event for early-stage clean energy investment. The forum features presentations from the most innovative, promising, and emergent clean energy companies; provocative panels led by thought leaders; and organized networking opportunities. It is the perfect venue for growing cleantech companies to present their business to a wide range of investors.

  3. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    SHIP - Solar heat for industrial processes. Internationalsolar power could be used to provide process heat for

  4. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power Industry -

  5. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power Industry -2.

  6. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power Industry -2.3.

  7. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power Industry

  8. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power IndustryA. Net

  9. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power IndustryA.

  10. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power IndustryA.A.

  11. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power IndustryA.A.B.

  12. SAS Output

    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-14 Dec-14Table 4.April 25,Ronald L.1997Million

  13. SAS Output

    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-14 Dec-14Table 4.April 25,Ronald L.1997MillionMajor U.S.

  14. SAS Output

    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-14 Dec-14Table 4.April 25,Ronald L.1997MillionMajor U.S.

  15. SAS Output

    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-14 Dec-14Table 4.April 25,Ronald L.1997MillionMajor

  16. SAS Output

    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-14 Dec-14Table 4.April 25,Ronald

  17. SAS Output

    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-14 Dec-14Table 4.April 25,RonaldRecoverable Coal Reserves

  18. SAS Output

    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-14 Dec-14Table 4.April 25,RonaldRecoverable Coal

  19. SAS Output

    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-14 Dec-14Table 4.April 25,RonaldRecoverable

  20. SAS Output

    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-14 Dec-14Table 4.April 25,RonaldRecoverableRecoverable

  1. SAS Output

    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-14 Dec-14Table 4.April

  2. SAS Output

    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-14 Dec-14Table 4.April19. Average Number of Employees at

  3. SAS Output

    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-14 Dec-14Table 4.April19. Average Number of Employees

  4. SAS Output

    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-14 Dec-14Table 4.April19. Average Number of

  5. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal

  6. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.

  7. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3. Coal

  8. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3. Coal4.

  9. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3.

  10. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3.6. U.S.

  11. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3.6.

  12. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3.6.8.

  13. SAS Output

    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-14 Dec-14Table 4.April19. Average Number ofCoal2.3.6.8.9.

  14. SAS Output

    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-14 Dec-14Table 4.April19. Average Number

  15. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0. Average Sales

  16. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0. Average Sales1.

  17. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0. Average

  18. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0. Average3.

  19. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0. Average3.4.

  20. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0. Average3.4.Coal

  1. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0.

  2. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0.Coal Production

  3. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0.Coal

  4. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0.CoalCoal

  5. SAS Output

    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-14 Dec-14Table 4.April19. Average Number0.CoalCoalMajor

  6. SAS Output

    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-14 Dec-14Table 4.April19. Average

  7. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835 2.812Average

  8. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835

  9. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835Average Price

  10. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835Average

  11. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835Average Steam

  12. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835Average

  13. SAS Output

    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:DeploymentSiteInformation4propanepropane9, 2014835AverageU.S.

  14. SAS Output

    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:DeploymentSiteInformation4propanepropane9,

  15. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. Coal

  16. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. CoalAverage

  17. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. CoalAverageCoal

  18. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S.

  19. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. U.S. Coke

  20. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. U.S.

  1. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. U.S.2. Coal

  2. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. U.S.2. CoalU.S.

  3. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. U.S.2.

  4. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S. U.S.2.Quantity

  5. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S.

  6. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S.Average Price of

  7. SAS Output

    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:DeploymentSiteInformation4propanepropane9, U.S.Average Price of

  8. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    oil, starch and corn refining, since these can be a source of fuel products. The sugar cane industry

  9. EPICS : input / output controller (IOC) application developer's guide. EPICS release 3.12 specific documentation.[Experimental Physics and Industrial Control System

    SciTech Connect (OSTI)

    Kraimer, M. R.

    2002-01-30T23:59:59.000Z

    This document describes the core software that resides in an Input/Output Controller (IOC), one of the major components of EPICS. EPICS consists of a set of software components and tools that Application Developers use to create a control system. The basic components are: OPI--Operator Interface. This is a UNIX based workstation which can run various EPICS tools; IOC--Input/Output Controller. This is a VME/VXI based chassis containing a processor, various I/O modules and VME modules that provide access to other I/O buses such as GPIB; and LAN--Local Area Network. This is the communication network which allows the IOCs and OPIs to communicate. EPICS provides a software component, Channel Access, which provides network transparent communication between a Channel Access client and an arbitrary number of Channel Access servers. This report is intended for anyone developing EPICS IOC databases and/or new record/device/driver support.

  10. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    of its electricity requirements in the USA (US DOE, 2002)USA, where motor-driven systems account for 63% of industrial electricity

  11. World population growth, industrialization, energy demand, and environmental goals are presently driving rapid global change in emissions with complex conse-

    E-Print Network [OSTI]

    Mauzerall, Denise

    395 World population growth, industrialization, energy demand, and environmental goalsPollution Intercontinental transport of pollution between Asia, North America, and Europe takes place via the prevailing by the scientific community as a global pol- lutant for which regulation can best be accomplished by a global

  12. World population growth, industrialization, energy demand, and environmental goals are presently driving rapid global change in emissions with complex conse-

    E-Print Network [OSTI]

    Mauzerall, Denise

    377 World population growth, industrialization, energy demand, and environmental goalsPollution Intercontinental transport of pollution between Asia, North America, and Europe takes place via the prevailing by the scientific community as a global pol- lutant for which regulation can best be accomplished by a global

  13. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    iron and steel production. IEA Greenhouse Gas R&D Programme,tempera- ture range. IEA/Caddet, Sittard, The Netherlands.industry. Cheltenham, UK, IEA Greenhouse Gas R&D Programme,

  14. Industry

    E-Print Network [OSTI]

    Bernstein, Lenny

    2008-01-01T23:59:59.000Z

    process residual like bagasse are now available (Cornland etsugar in- dustry uses bagasse and the edible oils industrySection 7.4.7. ). The use of bagasse for energy is likely to

  15. Industry

    SciTech Connect (OSTI)

    Bernstein, Lenny; Roy, Joyashree; Delhotal, K. Casey; Harnisch, Jochen; Matsuhashi, Ryuji; Price, Lynn; Tanaka, Kanako; Worrell, Ernst; Yamba, Francis; Fengqi, Zhou; de la Rue du Can, Stephane; Gielen, Dolf; Joosen, Suzanne; Konar, Manaswita; Matysek, Anna; Miner, Reid; Okazaki, Teruo; Sanders, Johan; Sheinbaum Parado, Claudia

    2007-12-01T23:59:59.000Z

    This chapter addresses past, ongoing, and short (to 2010) and medium-term (to 2030) future actions that can be taken to mitigate GHG emissions from the manufacturing and process industries. Globally, and in most countries, CO{sub 2} accounts for more than 90% of CO{sub 2}-eq GHG emissions from the industrial sector (Price et al., 2006; US EPA, 2006b). These CO{sub 2} emissions arise from three sources: (1) the use of fossil fuels for energy, either directly by industry for heat and power generation or indirectly in the generation of purchased electricity and steam; (2) non-energy uses of fossil fuels in chemical processing and metal smelting; and (3) non-fossil fuel sources, for example cement and lime manufacture. Industrial processes also emit other GHGs, e.g.: (1) Nitrous oxide (N{sub 2}O) is emitted as a byproduct of adipic acid, nitric acid and caprolactam production; (2) HFC-23 is emitted as a byproduct of HCFC-22 production, a refrigerant, and also used in fluoroplastics manufacture; (3) Perfluorocarbons (PFCs) are emitted as byproducts of aluminium smelting and in semiconductor manufacture; (4) Sulphur hexafluoride (SF{sub 6}) is emitted in the manufacture, use and, decommissioning of gas insulated electrical switchgear, during the production of flat screen panels and semiconductors, from magnesium die casting and other industrial applications; (5) Methane (CH{sub 4}) is emitted as a byproduct of some chemical processes; and (6) CH{sub 4} and N{sub 2}O can be emitted by food industry waste streams. Many GHG emission mitigation options have been developed for the industrial sector. They fall into three categories: operating procedures, sector-wide technologies and process-specific technologies. A sampling of these options is discussed in Sections 7.2-7.4. The short- and medium-term potential for and cost of all classes of options are discussed in Section 7.5, barriers to the application of these options are addressed in Section 7.6 and the implication of industrial mitigation for sustainable development is discussed in Section 7.7. Section 7.8 discusses the sector's vulnerability to climate change and options for adaptation. A number of policies have been designed either to encourage voluntary GHG emission reductions from the industrial sector or to mandate such reductions. Section 7.9 describes these policies and the experience gained to date. Co-benefits of reducing GHG emissions from the industrial sector are discussed in Section 7.10. Development of new technology is key to the cost-effective control of industrial GHG emissions. Section 7.11 discusses research, development, deployment and diffusion in the industrial sector and Section 7.12, the long-term (post-2030) technologies for GHG emissions reduction from the industrial sector. Section 7.13 summarizes gaps in knowledge.

  16. Druid; 2001-05-29 PRELIMINARY Industrial Dynamics and Endogenous Growth

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    , Sweden ABSTRACT Economic growth can be described at the macro level, but it can never be explained and Gunnar Eliasson Royal Institute of Technology (KTH), Stockholm, Sweden 1. The Nature of Economic Growth

  17. Changing Trends in the Bulk Chemicals and Pulp and Paper Industries (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

    Compared with the experience of the 1990s, rising energy prices in recent years have led to questions about expectations of growth in industrial output, particularly in energy-intensive industries. Given the higher price trends, a review of expected growth trends in selected industries was undertaken as part of the production of Annual Energy Outlook 2005 (AEO). In addition, projections for the industrial value of shipments, which were based on the Standard Industrial Classification (SIC) system in AEO2004, are based on the North American Industry Classification System (NAICS) in AEO2005. The change in industrial classification leads to lower historical growth rates for many industrial sectors. The impacts of these two changes are highlighted in this section for two of the largest energy-consuming industries in the U.S. industrial sector-bulk chemicals and pulp and paper.

  18. Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01T23:59:59.000Z

    Efficiency Scenario (non-residential sector only) – AssumesIndia: Industry and Non Residential Sectors Jayant Sathaye,and support. The Non Residential sector analysis benefited

  19. Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors

    E-Print Network [OSTI]

    Sathaye, Jayant

    2011-01-01T23:59:59.000Z

    essential to monitor and study energy consumption trends.and study energy consumption trends. E.S. 3. Industry Themonitor and study energy consumption trends. From a policy

  20. Network Growth and Consolidation: The Effects of Cohesion and Diversity on the Biotechnology Industry Network

    E-Print Network [OSTI]

    White, Douglas R.

    topologies ­ such as metabolic networks or the World Wide Web ­ in that they tend to be assortative (Newman Industry Network *** Includes Color Figures *** Word Count 7,087 inclusive Jason Owen-Smith Walter W

  1. Processing factors contributing to growth and decline in the steel industry

    E-Print Network [OSTI]

    Dufalla, Michele (Michele Helene)

    2007-01-01T23:59:59.000Z

    During the second half of the twentieth century, a technological shift occurred in the steel industry. A different mix of refining and melting furnaces were used, with increasing use being made of basic oxygen and electric ...

  2. Strategies for Low Carbon Growth In India: Industry and Non Residential Sectors

    SciTech Connect (OSTI)

    Sathaye, Jayant; de la Rue du Can, Stephane; Iyer, Maithili; McNeil, Michael; Kramer, Klaas Jan; Roy, Joyashree; Roy, Moumita; Chowdhury, Shreya Roy

    2011-04-15T23:59:59.000Z

    This report analyzed the potential for increasing energy efficiency and reducing greenhouse gas emissions (GHGs) in the non-residential building and the industrial sectors in India. The first two sections describe the research and analysis supporting the establishment of baseline energy consumption using a bottom up approach for the non residential sector and for the industry sector respectively. The third section covers the explanation of a modeling framework where GHG emissions are projected according to a baseline scenario and alternative scenarios that account for the implementation of cleaner technology.

  3. Technology transfer, resources import, and economic growth of newly industrializing countries

    SciTech Connect (OSTI)

    Cheung, Y.H.

    1984-01-01T23:59:59.000Z

    The general characteristics of developing economies are poor resources endowments and relatively backward technologies. These characteristics are considered to be obstacles to economic growth. Yet, despite embodying these characteristics, Hong Kong, Korea, Singapore, and Taiwan have grown rapidly in the past two decades. Their phenomenal growth is attributed to rapid export expansion which serves as a vehicle in securing the financing of resources import and technology transfer. The important role of export expansion was investigated in models of economic growth and international trade. The models generally fall into two classes. The first class is solely concerned with the importation of resources while the second class emphasizes transfer of technology. This dissertation presents a new class of model combining the two existing classes. In the new model, resources are being introduced into the technology transfer model developed by Feldstein and Hartman, Berglas and Jones, and Khang. Thus, the new model contains two types of imports instead of one. The two imports are advanced capital, which embodies advanced technology, and resources. The new model explains fully the phenomenal growth of the four Asian NICs by demonstrating that rapid economic growth requires massive technology transfer and the alleviation of resource constraints.

  4. A Survey of the U.S. ESCO Industry: Market Growth and Development from 2000 to 2006

    E-Print Network [OSTI]

    Hopper, Nicole; Goldman, Charles; Gilligan, Donald; Singer, Terry E.; Birr, Dave

    2007-01-01T23:59:59.000Z

    5 3.1 ESCO Industry21 Appendix A: ESCO Companies Included inSummary: Figure ES-1. ESCO Industry Activity: 1990-

  5. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. 22nd NREL Industry Growth Forum

    E-Print Network [OSTI]

    and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. 22nd NREL Industry Growth ForumNREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency;National Renewable Energy Laboratory Innovation for Our Energy Future The 22nd NREL Industry Growth Forum

  6. A Survey of the U.S. ESCO Industry: Market Growth and Development from 2000 to 2006

    E-Print Network [OSTI]

    Hopper, Nicole; Goldman, Charles; Gilligan, Donald; Singer, Terry E.; Birr, Dave

    2007-01-01T23:59:59.000Z

    the size and breadth of the energy efficiency market hasenergy efficiency, renewables and onsite generation markets, present updated industry size and

  7. A.E. Opubor and O.E. Nwuneli, The Development and Growth of the Film Industry in Nigeria

    E-Print Network [OSTI]

    Cham, Mbye B.

    1981-01-01T23:59:59.000Z

    and cultural imperialism in Nigeria and Africa today.dominate the film market in Nigeria in spite of politicaloriented film industry in Nigeria. Mbye B. Cham Associate ~

  8. Access to affordable and reliable energy has been a cornerstone of the world's increasing prosperity and economic growth since the beginning of the industrial revolution. Our use of energy in the twenty-first century must also be

    E-Print Network [OSTI]

    prosperity and economic growth since the beginning of the industrial revolution. Our use of energy game-changing energy technologies, while setting up an organization with a culture of speed, efficiency

  9. Managing growth In The knowledge economy : lessons from the bust and boom of San Francisco's technology industry

    E-Print Network [OSTI]

    Donaldson, Laurel G. (Laurel Gabrielle)

    2014-01-01T23:59:59.000Z

    Municipal policy-makers have embraced the promise of the innovation-based "Next Economy" as the latest policy prescription for growth. However, recent evidence suggests that the agglomeration of high-skill, high-wage ...

  10. Serial Input Output

    SciTech Connect (OSTI)

    Waite, Anthony; /SLAC

    2011-09-07T23:59:59.000Z

    Serial Input/Output (SIO) is designed to be a long term storage format of a sophistication somewhere between simple ASCII files and the techniques provided by inter alia Objectivity and Root. The former tend to be low density, information lossy (floating point numbers lose precision) and inflexible. The latter require abstract descriptions of the data with all that that implies in terms of extra complexity. The basic building blocks of SIO are streams, records and blocks. Streams provide the connections between the program and files. The user can define an arbitrary list of streams as required. A given stream must be opened for either reading or writing. SIO does not support read/write streams. If a stream is closed during the execution of a program, it can be reopened in either read or write mode to the same or a different file. Records represent a coherent grouping of data. Records consist of a collection of blocks (see next paragraph). The user can define a variety of records (headers, events, error logs, etc.) and request that any of them be written to any stream. When SIO reads a file, it first decodes the record name and if that record has been defined and unpacking has been requested for it, SIO proceeds to unpack the blocks. Blocks are user provided objects which do the real work of reading/writing the data. The user is responsible for writing the code for these blocks and for identifying these blocks to SIO at run time. To write a collection of blocks, the user must first connect them to a record. The record can then be written to a stream as described above. Note that the same block can be connected to many different records. When SIO reads a record, it scans through the blocks written and calls the corresponding block object (if it has been defined) to decode it. Undefined blocks are skipped. Each of these categories (streams, records and blocks) have some characteristics in common. Every stream, record and block has a name with the condition that each stream, record or block name must be unique in its category (i.e. all streams must have different names, but a stream can have the same name as a record). Each category is an arbitrary length list which is handled by a 'manager' and there is one manager for each category.

  11. NEMS industrial module documentation report

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2010) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of output of industrial activity. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

  12. Industry Supply Chain Development (Ohio)

    Broader source: Energy.gov [DOE]

    Supply Chain Development programs are focused on targeted industries that have significant growth opportunities for Ohio's existing manufacturing sector from emerging energy resources and...

  13. Reliable Gas Turbine Output: Attaining Temperature Independent Performance

    E-Print Network [OSTI]

    Neeley, J. E.; Patton, S.; Holder, F.

    % of the electric system, could create reliability and operational problems. This paper explores the potential for maintaining constant, reliable outputs from gas turbines by cooling ambient air temperatures before the air is used in the compressor section... strides have been made in the development of both aircraft, aircraft-derivative, and industrial gas turbines. The Basic Cycle The basic gas turbine engine consists of a compressor, a combustor, and a turbine in series. The intake air is compressed...

  14. Energy efficiency opportunities in China. Industrial equipment and small cogeneration

    SciTech Connect (OSTI)

    NONE

    1995-02-01T23:59:59.000Z

    A quick glance at comparative statistics on energy consumption per unit of industrial output reveals that China is one of the least energy efficient countries in the world. Energy waste not only impedes economic growth, but also creates pollution that threatens human health, regional ecosystems, and the global climate. China`s decision to pursue economic reform and encourage technology transfer from developed countries has created a window of opportunity for significant advances in energy efficiency. Policy changes, technical training, public education, and financing can help China realize its energy conservation potential.

  15. Overload protection circuit for output driver

    DOE Patents [OSTI]

    Stewart, Roger G. (Neshanic Station, NJ)

    1982-05-11T23:59:59.000Z

    A protection circuit for preventing excessive power dissipation in an output transistor whose conduction path is connected between a power terminal and an output terminal. The protection circuit includes means for sensing the application of a turn on signal to the output transistor and the voltage at the output terminal. When the turn on signal is maintained for a period of time greater than a given period without the voltage at the output terminal reaching a predetermined value, the protection circuit decreases the turn on signal to, and the current conduction through, the output transistor.

  16. DUAL-OUTPUT HOLA FIRMWARE AND TESTS

    E-Print Network [OSTI]

    another channel (thus, "dual-output" HOLA) · Another LDC+ROMB block was added to receive data from side S32PCI64 "SOLAR" mezzanine card: Provides access to S-LINK via PCI bus The first prototype of dual-outputDUAL-OUTPUT HOLA FIRMWARE AND TESTS Anton Kapliy Mel Shochet Fukun Tang Daping Weng #12;Summary

  17. Industrial Permit

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

    Protection Obeying Environmental Laws Industrial Permit Industrial Permit The Industrial Permit authorizes the Laboratory to discharge point-source effluents under the...

  18. Water Power Calculator Temperature and Analog Input/Output Module Ambient Temperature Testing

    SciTech Connect (OSTI)

    Mark D. McKay

    2011-02-01T23:59:59.000Z

    Water Power Calculator Temperature and Analog input/output Module Ambient Temperature Testing A series of three ambient temperature tests were conducted for the Water Power Calculator development using the INL Calibration Laboratory’s Tenney Environmental Chamber. The ambient temperature test results demonstrate that the Moore Industries Temperature Input Modules, Analog Input Module and Analog Output Module, ambient temperature response meet or exceed the manufactures specifications

  19. A shift-share analysis of industrial composition and growth in the Lower Rio Grande Valley State Planning Region of Texas

    E-Print Network [OSTI]

    Shapiro, Barry Ira

    1978-01-01T23:59:59.000Z

    , including how the area differs from others; w. 'th the objective of identifying industries in which it has compara- tive advantages. In the second step, this information together with an a"ses -ment o( the region's available resources, including... possibilities. Prior to each analysis, a descriptior. of employment and wage trends was undertaken to provide a basi. s for the shift-share analysis. The state's industrial mix was stronger than that of the nation and the state enjoyed comparative advantage...

  20. OUTPUT REGULATION OF NONLINEAR NEUTRAL SYSTEMS

    E-Print Network [OSTI]

    Fridman, Emilia

    OUTPUT REGULATION OF NONLINEAR NEUTRAL SYSTEMS Emilia Fridman1 Department of Electrical Engineering, Tel-Aviv University Ramat-Aviv, Tel-Aviv 69978, Israel emilia@eng.tau.ac.il Summary. Output regulation regulation, regulator equations, center manifold 1 Introduction One of the most important problems in control

  1. Bayesian Learning of unobservable output 1 Bayesian Learning of unobservable output

    E-Print Network [OSTI]

    Provence Aix-Marseille I, Université de

    Bayesian Learning of unobservable output 1 Bayesian Learning of unobservable output aggregating the consistency of our method and illustrate its efficiency using simulations. Although up to our knowledge there are no similar algorithms for unobservable output, we compared in our simulations to supervised approaches

  2. Rome 2007 2nd International Industrial Diamond Conference Proceedings, Rome April 19-Development of a Procedure for Fatigue Crack Growth in PCD

    E-Print Network [OSTI]

    and the crack morphology. #12;1. Background Polycrystalline diamond cutters are known to fail during drilling polycrystalline diamond material inevitably leads to premature degradation of the cutter's ability to drill rockRome 2007 2nd International Industrial Diamond Conference Proceedings, Rome April 19- 20, 2007

  3. Industrial Engineering Industrial Advisory Board

    E-Print Network [OSTI]

    Gelfond, Michael

    Industrial Engineering Industrial Advisory Board (IAB) #12;PURPOSE: The Texas Tech University - Industrial Engineering Industrial Ad- visory Board (IAB) is an association of professionals with a com- mon goal - promoting and developing the Texas Tech Department of Industrial Engineering and its students

  4. PETROLEUM INDUSTRY INFORMATION REPORTING ACT

    E-Print Network [OSTI]

    compliance. The Energy Commission uses the new refinery reports when creating the Weekly Fuels Watch Report refinery production and inventories. Monthly data of refinery inputs and outputs have a variety of regular use data by refineries to support analyses of total energy use by industry type within the state

  5. POLE PLACEMENT BY STATIC OUTPUT FEEDBACK FOR ...

    E-Print Network [OSTI]

    SIAM (#1) 1035 2001 Apr 10 12:32:38

    2002-06-04T23:59:59.000Z

    topology) subset U of such systems, where the real pole placement map is not surjective. It follows that, for ... Key words. linear systems, static output control feedback, pole placement. AMS subject .... is an integral power of 2. In the opposite ...

  6. Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs

    E-Print Network [OSTI]

    Venditti, David A.

    Anisotropic grid–adaptive strategies are presented for viscous flow simulations in which the accurate prediction of multiple aerodynamic outputs (such as the lift, drag, and moment coefficients) is required from a single ...

  7. Iron and steel industry process model

    SciTech Connect (OSTI)

    Sparrow, F.T.; Pilati, D.; Dougherty, T.; McBreen, E.; Juang, L.L.

    1980-01-01T23:59:59.000Z

    The iron and steel industry process model depicts expected energy-consumption characteristics of the iron and steel industry and ancillary industries for the next 25 years by means of a process model of the major steps in steelmaking, from ore mining and scrap recycling to the final finishing of carbon, alloy, and stainless steel into steel products such as structural steel, slabs, plates, tubes, and bars. Two plant types are modeled: fully integrated mills and mini-mills. User-determined inputs into the model are as follows: projected energy and materials prices; projected costs of capacity expansion and replacement; energy-conserving options, both operating modes and investments; the internal rate of return required on investment; and projected demand for finished steel. Nominal input choices in the model for the inputs listed above are as follows: National Academy of Sciences Committee on Nuclear and Alternative Energy Systems Demand Panel nominal energy-price projections for oil, gas, distillates, residuals, and electricity and 1975 actual prices for materials; actual 1975 costs; new technologies added; 15% after taxes; and 1975 actual demand with 1.5%/y growth. The model reproduces the base-year (1975) actual performance of the industry; then, given the above nominal input choices, it projects modes of operation and capacity expansion that minimize the cost of meeting the given final demands for each of 5 years, each year being the midpoint of a 5-year interval. The output of the model includes the following: total energy use and intensity (Btu/ton) by type, by process, and by time period; energy conservation options chosen; utilization rates for existing capacity; capital-investment decisions for capacity expansion.

  8. SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY

    E-Print Network [OSTI]

    Perez, Richard R.

    SOLAR ENERGY (conditionally accepted 1/2010) QUANTIFYING PV POWER OUTPUT VARIABILITY Thomas E create major problems that will require major mitigation efforts. #12;SOLAR ENERGY (conditionally industry believe it could constrain the penetration of gridconnected PV. The U.S. Department of Energy

  9. adaptive growth strategy: Topics by E-print Network

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

    effective ionization and dielectric relaxation times scales 3 146 National Industrial Hemp Strategy ii March 2008Executive Summary Growth of the Canadian Industrial Hemp Sector...

  10. PV output smoothing with energy storage.

    SciTech Connect (OSTI)

    Ellis, Abraham; Schoenwald, David Alan

    2012-03-01T23:59:59.000Z

    This report describes an algorithm, implemented in Matlab/Simulink, designed to reduce the variability of photovoltaic (PV) power output by using a battery. The purpose of the battery is to add power to the PV output (or subtract) to smooth out the high frequency components of the PV power that that occur during periods with transient cloud shadows on the PV array. The control system is challenged with the task of reducing short-term PV output variability while avoiding overworking the battery both in terms of capacity and ramp capability. The algorithm proposed by Sandia is purposely very simple to facilitate implementation in a real-time controller. The control structure has two additional inputs to which the battery can respond. For example, the battery could respond to PV variability, load variability or area control error (ACE) or a combination of the three.

  11. Single Inductor Dual Output Buck Converter

    E-Print Network [OSTI]

    Eachempatti, Haritha

    2010-07-14T23:59:59.000Z

    of value 3V. The main focus areas are low cross regulation between the outputs and supply of completely independent load current levels while maintaining desired values (1.2V,1.5V) within well controlled ripple levels. Dynamic hysteresis control is used...

  12. Porous radiant burners having increased radiant output

    DOE Patents [OSTI]

    Tong, Timothy W. (Tempe, AZ); Sathe, Sanjeev B. (Tempe, AZ); Peck, Robert E. (Tempe, AZ)

    1990-01-01T23:59:59.000Z

    Means and methods for enhancing the output of radiant energy from a porous radiant burner by minimizing the scattering and increasing the adsorption, and thus emission of such energy by the use of randomly dispersed ceramic fibers of sub-micron diameter in the fabrication of ceramic fiber matrix burners and for use therein.

  13. Bioenergy technology balancing energy output with environmental

    E-Print Network [OSTI]

    Levi, Ran

    E2.3 Bioenergy technology ­ balancing energy output with environmental benefitsbenefits John bioenergy Farmers historically used 25% land for horse feed #12;Energy crops are `solar panels' Solar energy° 50° #12;Same climate data (A1F1 scenario for 2050 - 2080) but the genotype is one which is less

  14. Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs

    E-Print Network [OSTI]

    Peraire, Jaime

    Anisotropic Grid Adaptation for Multiple Aerodynamic Outputs David A. Venditti and David L Anisotropic grid­adaptive strategies are presented for viscous flow simulations in which the accurate estimation and Hessian-based anisotropic grid adaptation. Airfoil test cases are presented to demonstrate

  15. Libyan oil industry

    SciTech Connect (OSTI)

    Waddams, F.C.

    1980-01-01T23:59:59.000Z

    Three aspects of the growth and progress of Libya's oil industry since the first crude oil discovery in 1961 are: (1) relations between the Libyan government and the concessionary oil companies; (2) the impact of Libyan oil and events in Libya on the petroleum markets of Europe and the world; and (3) the response of the Libyan economy to the development of its oil industry. The historical review begins with Libya's becoming a sovereign nation in 1951 and traces its subsequent development into a position as a leading world oil producer. 54 references, 10 figures, 55 tables.

  16. Gasification world database 2007. Current industry status

    SciTech Connect (OSTI)

    NONE

    2007-10-15T23:59:59.000Z

    Information on trends and drivers affecting the growth of the gasification industry is provided based on information in the USDOE NETL world gasification database (available on the www.netl.doe.gov website). Sectors cover syngas production in 2007, growth planned through 2010, recent industry changes, and beyond 2010 - strong growth anticipated in the United States. A list of gasification-based power plant projects, coal-to-liquid projects and coal-to-SNG projects under consideration in the USA is given.

  17. UFO - The Universal FeynRules Output

    E-Print Network [OSTI]

    Céline Degrande; Claude Duhr; Benjamin Fuks; David Grellscheid; Olivier Mattelaer; Thomas Reiter

    2012-07-31T23:59:59.000Z

    We present a new model format for automatized matrix-element generators, the so- called Universal FeynRules Output (UFO). The format is universal in the sense that it features compatibility with more than one single generator and is designed to be flexible, modular and agnostic of any assumption such as the number of particles or the color and Lorentz structures appearing in the interaction vertices. Unlike other model formats where text files need to be parsed, the information on the model is encoded into a Python module that can easily be linked to other computer codes. We then describe an interface for the Mathematica package FeynRules that allows for an automatic output of models in the UFO format.

  18. UFO - The Universal FeynRules Output

    E-Print Network [OSTI]

    Degrande, Céline; Fuks, Benjamin; Grellscheid, David; Mattelaer, Olivier; Reiter, Thomas

    2011-01-01T23:59:59.000Z

    We present a new model format for automatized matrix-element generators, the so- called Universal FeynRules Output (UFO). The format is universal in the sense that it features compatibility with more than one single generator and is designed to be flexible, modular and agnostic of any assumption such as the number of particles or the color and Lorentz structures appearing in the interaction vertices. Unlike other model formats where text files need to be parsed, the information on the model is encoded into a Python module that can easily be linked to other computer codes. We then describe an interface for the Mathematica package FeynRules that allows for an automatic output of models in the UFO format.

  19. Boosting America's Hydropower Output | 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't Your Destiny: The FutureCommentsEnergyandapproximatelyBoosting America's Hydropower Output

  20. Characterizing detonator output using dynamic witness plates

    SciTech Connect (OSTI)

    Murphy, Michael John [Los Alamos National Laboratory; Adrian, Ronald J [Los Alamos National Laboratory

    2009-01-01T23:59:59.000Z

    A sub-microsecond, time-resolved micro-particle-image velocimetry (PIV) system is developed to investigate the output of explosive detonators. Detonator output is directed into a transparent solid that serves as a dynamic witness plate and instantaneous shock and material velocities are measured in a two-dimensional plane cutting through the shock wave as it propagates through the solid. For the case of unloaded initiators (e.g. exploding bridge wires, exploding foil initiators, etc.) the witness plate serves as a surrogate for the explosive material that would normally be detonated. The velocity-field measurements quantify the velocity of the shocked material and visualize the geometry of the shocked region. Furthermore, the time-evolution of the velocity-field can be measured at intervals as small as 10 ns using the PIV system. Current experimental results of unloaded exploding bridge wire output in polydimethylsiloxane (PDMS) witness plates demonstrate 20 MHz velocity-field sampling just 300 ns after initiation of the wire.

  1. Comparison of CAISO-run Plexos output with LLNL-run Plexos output

    SciTech Connect (OSTI)

    Schmidt, A; Meyers, C; Smith, S

    2011-12-20T23:59:59.000Z

    In this report we compare the output of the California Independent System Operator (CAISO) 33% RPS Plexos model when run on various computing systems. Specifically, we compare the output resulting from running the model on CAISO's computers (Windows) and LLNL's computers (both Windows and Linux). We conclude that the differences between the three results are negligible in the context of the entire system and likely attributed to minor differences in Plexos version numbers as well as the MIP solver used in each case.

  2. OTHER INDUSTRIES

    Broader source: Energy.gov [DOE]

    AMO funded research results in novel technologies in diverse industries beyond the most energy intensive ones within the U.S. Manufacturing sector. These technologies offer quantifiable energy...

  3. Steady-state bumpless transfer under controller uncertainty using the state/output feedback topology

    SciTech Connect (OSTI)

    Zheng, K.; Lee, A.H.; Bentsman, J.; Taft, C.W. [University of Illinois, Urbana, IL (United States)

    2006-01-15T23:59:59.000Z

    Linear quadratic (LQ) bumpless transfer design introduced recently by Turner and Walker gives a very convenient and straightforward computational procedure for the steady-state bumpless transfer operator synthesis. It is, however, found to be incapable of providing convergence of the output of the offline controller to that of the online controller in several industrial applications, producing bumps in the plant output in the wake of controller transfer. An examination of this phenomenon reveals that the applications in question are characterized by a significant mismatch, further referred to as controller uncertainty, between the dynamics of the implemented controllers and their models used in the transfer operator computation. To address this problem, while retaining the convenience of the Turner and Walker design, a novel state/output feedback bumpless transfer topology is introduced that employs the nominal state of the offline controller and, through the use of an additional controller/model mismatch compensator, also the offline controller output. A corresponding steady-state bumpless transfer design procedure along with the supporting theory is developed for a large class of systems. Due to these features, it is demonstrated to solve a long-standing problem of high-quality steady-state bumpless transfer from the industry standard low-order nonlinear multiloop PID-based controllers to the modern multiinput-multioutput (MIMO) robust controllers in the megawatt/throttle pressure control of a typical coal-fired boiler/turbine unit.

  4. Assessment of Energy Efficiency Improvement and CO2 Emission Reduction Potentials in the Cement Industry in China

    E-Print Network [OSTI]

    Hasanbeigi, Ali

    2013-01-01T23:59:59.000Z

    Economic Output in Chinese Cement Kilns,” Proceedings of thereduction of China’s cement industry. Energy Policy 45 (751. Kong, Xiangzhong (China Cement Association, CCA), 2009.

  5. Steam Path Audits on Industrial Steam Turbines

    E-Print Network [OSTI]

    Mitchell, D. R.

    in sellable power output as a result of improved turbine efficiency. The Lyondell facility is a combined cycle power plant where a gas turbine: heat recovery system supplies steam to the steam turbine. Since this steam is a bypropuct of the gas turbine...steam Path Audits on Industrial steam Turbines DOUGLAS R. MITCHELL. ENGINEER. ENCOTECH, INC., SCHENECTADY, NEW YORK ABSTRACT The electric utility industry has benefitted from steam path audits on steam turbines for several years. Benefits...

  6. World crude output overcomes Persian Gulf disruption

    SciTech Connect (OSTI)

    Not Available

    1992-02-01T23:59:59.000Z

    Several OPEC producers made good on their promises to replace 2.7 MMbpd of oil exports that vanished from the world market after Iraq took over Kuwait. Even more incredibly, they accomplished this while a breathtaking 1.2- MMbopd reduction in Soviet output took place during the course of 1991. After Abu Dhabi, Indonesia, Iran, Libya, Nigeria, Saudi Arabia and Venezuela turned the taps wide open, their combined output rose 2.95 MMbopd. Put together with a 282,000-bopd increase by Norway and contributions from smaller producers, this enabled world oil production to remain within 400,000 bopd of its 1990 level. The 60.5-MMbopd average was off by just 0.7%. This paper reports that improvement took place in five of eight regions. Largest increases were in Western Europe and Africa. Greatest reductions occurred in Eastern Europe and the Middle East. Fifteen nations produced 1 MMbopd or more last year, compared with 17 during 1990.

  7. Telematics industry dynamics and strategies for converging technologies

    E-Print Network [OSTI]

    Luis, Rodrigo, 1973-

    2004-01-01T23:59:59.000Z

    The Telematics Industry faces tremendous challenges for growth. Regardless of the efforts and investment from vehicle manufacturers and suppliers, telematics has not been that profitable industry that many analyst forecasted ...

  8. DOE Report Tracks Maturation of U.S. Wind Industry

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2007-01-01T23:59:59.000Z

    the Growth of the U.S. Wind Industry The U.S. Department ofAnnual Report on U.S. Wind Power Installation, Cost, andkey trends in the U.S. wind industry, in many cases using

  9. applications radioprotecao industrial: Topics by E-print Network

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

    16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 421 National Industrial Hemp Strategy ii March 2008Executive Summary Growth of the Canadian Industrial Hemp Sector...

  10. arab oil industry: Topics by E-print Network

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

    U.S. Impact and Strategies (3) TECH 562 Kostic, Milivoje M. 492 National Industrial Hemp Strategy ii March 2008Executive Summary Growth of the Canadian Industrial Hemp Sector...

  11. Soft-Input Soft-Output Sphere Decoding Christoph Studer

    E-Print Network [OSTI]

    Soft-Input Soft-Output Sphere Decoding Christoph Studer Integrated Systems Laboratory ETH Zurich Soft-input soft-output (SISO) detection in multiple-input multiple-output (MIMO) systems constitutes Laboratory ETH Zurich, 8092 Zurich, Switzerland Email: boelcskei@nari.ee.ethz.ch Abstract--Soft-input soft

  12. Output error identification of hydrogenerator conduit dynamics

    SciTech Connect (OSTI)

    Vogt, M.A.; Wozniak, L. (Illinois Univ., Urbana, IL (USA)); Whittemore, T.R. (Bureau of Reclamation, Denver, CO (USA))

    1989-09-01T23:59:59.000Z

    Two output error model reference adaptive identifiers are considered for estimating the parameters in a reduced order gate position to pressure model for the hydrogenerator. This information may later be useful in an adaptive controller. Gradient and sensitivity functions identifiers are discussed for the hydroelectric application and connections are made between their structural differences and relative performance. Simulations are presented to support the conclusion that the latter algorithm is more robust, having better disturbance rejection and less plant model mismatch sensitivity. For identification from recorded plant data from step gate inputs, the other algorithm even fails to converge. A method for checking the estimated parameters is developed by relating the coefficients in the reduced order model to head, an externally measurable parameter.

  13. HAMILTONCLARK NREL 22nd Industry Growth Forum

    E-Print Network [OSTI]

    in a CreditConstrained World November 2009 John J. McKenna 703-288-5277 john semi-works plant ­ Venture financing difficult due to timing (post meltdown) ­ Other biofuels refineries ­ Waste Management (NYSE:WM): feedstock supply at landfills ­ Strategic investors understood

  14. Geothermal Energy Growth Continues, Industry Survey Reports ...

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

    economic benefits, according to GEA. "These new projects will result in the infusion of roughly 15 billion in capital investment in the western states, and create 7,000...

  15. Beacon Power Corporation NREL Industry Growth Forum

    E-Print Network [OSTI]

    with General Electric · Awarded "Engineer of the Year" @ GE · B.S. and M.S. degrees in M.E. from MIT · 65;7 From Flywheel to 20 MW Plant 7 #12;88 Base Business Model · Build, own/co-own and operate merchant (outright or co-investment) · Sell regulation systems outside the U.S. with strategic partners · Sell other

  16. Commissioning of output factors for uniform scanning proton beams

    SciTech Connect (OSTI)

    Zheng Yuanshui; Ramirez, Eric; Mascia, Anthony; Ding Xiaoning; Okoth, Benny; Zeidan, Omar; Hsi Wen; Harris, Ben; Schreuder, Andries N.; Keole, Sameer [ProCure Proton Therapy Center, 5901 West Memorial Road, Oklahoma City, Oklahoma 73142 (United States); ProCure Treatment Centers, 420 North Walnut Street, Bloomington, Indiana 47404 (United States); ProCure Proton Therapy Center, 5901 West Memorial Road, Oklahoma City, Oklahoma 73142 (United States)

    2011-04-15T23:59:59.000Z

    Purpose: Current commercial treatment planning systems are not able to accurately predict output factors and calculate monitor units for proton fields. Patient-specific field output factors are thus determined by either measurements or empirical modeling based on commissioning data. The objective of this study is to commission output factors for uniform scanning beams utilized at the ProCure proton therapy centers. Methods: Using water phantoms and a plane parallel ionization chamber, the authors first measured output factors with a fixed 10 cm diameter aperture as a function of proton range and modulation width for clinically available proton beams with ranges between 4 and 31.5 cm and modulation widths between 2 and 15 cm. The authors then measured the output factor as a function of collimated field size at various calibration depths for proton beams of various ranges and modulation widths. The authors further examined the dependence of the output factor on the scanning area (i.e., uncollimated proton field), snout position, and phantom material. An empirical model was developed to calculate the output factor for patient-specific fields and the model-predicted output factors were compared to measurements. Results: The output factor increased with proton range and field size, and decreased with modulation width. The scanning area and snout position have a small but non-negligible effect on the output factors. The predicted output factors based on the empirical modeling agreed within 2% of measurements for all prostate treatment fields and within 3% for 98.5% of all treatment fields. Conclusions: Comprehensive measurements at a large subset of available beam conditions are needed to commission output factors for proton therapy beams. The empirical modeling agrees well with the measured output factor data. This investigation indicates that it is possible to accurately predict output factors and thus eliminate or reduce time-consuming patient-specific output measurements for proton treatments.

  17. Integrating Fermentation and Transesterification Industrial Scale Processes

    E-Print Network [OSTI]

    Pike, Ralph W.

    Integrating Fermentation and Transesterification Industrial Scale Processes in the Lower l d CO2 hanol, acetic acid etc. from CO2 Algae growth for use as biomass M lti it i O ti i ti P bl

  18. Industrial Applications for Micropower: A Market Assessment,...

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

    generation equipment less than 1 MW) such as microturbines, fuel cells, and reciprocating engines offers promise to renew growth in the U.S. industrial sector. Based on the...

  19. Beer and Economic Growth Dr. Martin Shields

    E-Print Network [OSTI]

    Beer and Economic Growth Dr. Martin Shields Regional Economics Institute Colorado State University to the rest of the world #12;Industry Trends · Over the past 10 years, the growth in craft beer has significantly altered the industry · While overall beer sales are relatively flat, market share of craft brewers

  20. Glass needs for a growing photovoltaics industry

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

    Burrows, Keith; Fthenakis, Vasilis

    2015-01-01T23:59:59.000Z

    With the projected growth in photovoltaics, the demand for glass for the solar industry will far exceed the current supply, and thousands of new float-glass plants will have to be built to meet its needs over the next 20 years. Such expansion will provide an opportunity for the solar industry to obtain products better suited to their needs, such as low-iron glass and borosilicate glass at the lowest possible price. While there are no significant technological hurdles that would prevent the flat glass industry from meeting the solar industry’s projected needs, to do so will require advance planning and substantialmore »investments.« less

  1. Glass needs for a growing photovoltaics industry

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

    Burrows, Keith [Columbia Univ., New York, NY (United States); Fthenakis, Vasilis [Columbia Univ., New York, NY (United States); Brookhaven National Lab. (BNL), Upton, NY (United States)

    2015-01-01T23:59:59.000Z

    With the projected growth in photovoltaics, the demand for glass for the solar industry will far exceed the current supply, and thousands of new float-glass plants will have to be built to meet its needs over the next 20 years. Such expansion will provide an opportunity for the solar industry to obtain products better suited to their needs, such as low-iron glass and borosilicate glass at the lowest possible price. While there are no significant technological hurdles that would prevent the flat glass industry from meeting the solar industry’s projected needs, to do so will require advance planning and substantial investments.

  2. Regulatory Reform to Promote Clean Energy: The Potential of Output-Based Emissions Standards

    SciTech Connect (OSTI)

    Cox, Matthew [Georgia Institute of Technology] [Georgia Institute of Technology; Brown, Dr. Marilyn Ann [Georgia Institute of Technology] [Georgia Institute of Technology; Jackson, Roderick K [ORNL] [ORNL

    2011-01-01T23:59:59.000Z

    Barriers to industrial energy-efficient technologies hinder their use. A number of EPA analyses and industrial experts have found that the utilization of input-based emissions standards (measured in parts-per-million or pounds/MMBtu) in the Clean Air Act creates a regulatory barrier to the installation and deployment of technologies that emit fewer criteria pollutants and use energy more efficiently. Changing emission management strategies to an output-based emissions standard (measured in tons of pollutant emitted) is a way to ameliorate some of these barriers. Combined heat and power (CHP) is one of the key technologies that would see increased industrial application if the emissions standards were modified. Many states have made this change since the EPA first approved it in 2000, although direction from the Federal government could speed implementation modifications. To analyze the national impact of accelerated state adoption of output-based standards on CHP technologies, this paper uses detailed National Energy Modeling System (NEMS) and spreadsheet analysis illustrating two phased-in adoption scenarios for output-based emissions standards in the industrial sector. Benefit/cost metrics are calculated from a private and public perspective, and also a social perspective that considers the criteria and carbon air pollution emissions. These scenarios are compared to the reference case of AEO 2010 and are quite favorable, with a social benefit-cost ratio of 16.0 for a five-year phase-in scenario. In addition, the appropriateness of the Federal role, applicability, technology readiness, and administrative feasibility are discussed.

  3. Output power characteristics and performance of TOPAZ II Thermionic Fuel Element No. 24

    SciTech Connect (OSTI)

    Luchau, D.W.; Bruns, D.R. [Team Specialty Services, Inc., TOPAZ International Program, 901 University Blvd., SE, Albuquerque, New Mexico 87106 (United States); Izhvanov, O.; Androsov, V. [JV INERTEK, Scientific Industrial Association ``Luch``, 24 Zheleznodorozhnaya, Podolsk, (Russia) 142100

    1996-03-01T23:59:59.000Z

    A final report on the output power characteristics and capabilities of single cell TOPAZ II Thermionic Fuel Element (TFE) No. 24 is presented. Thermal power tests were conducted for over 3000 hours to investigate converter performance under normal and adverse operating conditions. Experiments conducted include low power testing, high power testing, air introduction to the interelectrode gap, collector temperature optimization, thermal modeling, and output power characteristic measurements. During testing, no unexpected degradation in converter performance was observed. The TFE has been removed from the test stand and returned to Scientific Industrial Association {open_quote}{open_quote}LUCH{close_quote}{close_quote} for materials analysis and report. This research was conducted at the Thermionic System Evaluation Test (TSET) Facility at the New Mexico Engineering Research Institute (NMERI) as a part of the Topaz International Program (TIP) by the Air Force Phillips Laboratory (PL). {copyright} {ital 1996 American Institute of Physics.}

  4. Method and apparatus for varying accelerator beam output energy

    DOE Patents [OSTI]

    Young, Lloyd M. (Los Alamos, NM)

    1998-01-01T23:59:59.000Z

    A coupled cavity accelerator (CCA) accelerates a charged particle beam with rf energy from a rf source. An input accelerating cavity receives the charged particle beam and an output accelerating cavity outputs the charged particle beam at an increased energy. Intermediate accelerating cavities connect the input and the output accelerating cavities to accelerate the charged particle beam. A plurality of tunable coupling cavities are arranged so that each one of the tunable coupling cavities respectively connect an adjacent pair of the input, output, and intermediate accelerating cavities to transfer the rf energy along the accelerating cavities. An output tunable coupling cavity can be detuned to variably change the phase of the rf energy reflected from the output coupling cavity so that regions of the accelerator can be selectively turned off when one of the intermediate tunable coupling cavities is also detuned.

  5. average power output: Topics by E-print Network

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

    in the bucket). For low Carroll, David L. 7 High power multi-output piezoelectric transformers. Open Access Theses and Dissertations Summary: ??Piezoelectric transformers have...

  6. action potential output: Topics by E-print Network

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

    HF efficiency, but does not necessarily yield a higher measurable power (power in the bucket). For low Carroll, David L. 376 A Spatial Analysis of Multivariate Output from...

  7. advisory capability output: Topics by E-print Network

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

    HF efficiency, but does not necessarily yield a higher measurable power (power in the bucket). For low Carroll, David L. 453 A Spatial Analysis of Multivariate Output from...

  8. Sandia National Laboratories: simulating solar-power-plant output...

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

    simulating solar-power-plant output variability Sandia PV Team Publishes Book Chapter On January 21, 2014, in Computational Modeling & Simulation, Energy, Modeling & Analysis,...

  9. MIT and Automotive Industries MIT Industry Brief

    E-Print Network [OSTI]

    Ceder, Gerbrand

    MIT and Automotive Industries MIT Industry Brief MIT's Industrial Liaison Program (ILP) can bring@ilp.mit.edu, or visit http://ilp-www.mit.edu. MIT and Automotive Industries The Massachusetts Institute of Technology (MIT) is a leading center of research and education on topics important to the automotive industry

  10. Verification of hourly forecasts of wind turbine power output

    SciTech Connect (OSTI)

    Wegley, H.L.

    1984-08-01T23:59:59.000Z

    A verification of hourly average wind speed forecasts in terms of hourly average power output of a MOD-2 was performed for four sites. Site-specific probabilistic transformation models were developed to transform the forecast and observed hourly average speeds to the percent probability of exceedance of an hourly average power output. (This transformation model also appears to have value in predicting annual energy production for use in wind energy feasibility studies.) The transformed forecasts were verified in a deterministic sense (i.e., as continuous values) and in a probabilistic sense (based upon the probability of power output falling in a specified category). Since the smoothing effects of time averaging are very pronounced, the 90% probability of exceedance was built into the transformation models. Semiobjective and objective (model output statistics) forecasts were made compared for the four sites. The verification results indicate that the correct category can be forecast an average of 75% of the time over a 24-hour period. Accuracy generally decreases with projection time out to approx. 18 hours and then may increase due to the fairly regular diurnal wind patterns that occur at many sites. The ability to forecast the correct power output category increases with increasing power output because occurrences of high hourly average power output (near rated) are relatively rare and are generally not forecast. The semiobjective forecasts proved superior to model output statistics in forecasting high values of power output and in the shorter time frames (1 to 6 hours). However, model output statistics were slightly more accurate at other power output levels and times. Noticeable differences were observed between deterministic and probabilistic (categorical) forecast verification results.

  11. The effects of energy policies in China on GDP, industrial output and new energy profits1

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    include those involving environmental protection or financial incentives. Ever since the 1978 reform

  12. EIA Energy Efficiency-Table 3e. Gross Output by Selected Industries, 1998,

    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 40CoalLease(Billion2,128 2,469DecadeOrigin State GlossaryEnergy )and 2002 e

  13. EIA Energy Efficiency-Table 4e. Gross Output by Selected Industries, 1998,

    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 40CoalLease(Billion2,128 2,469DecadeOrigin State GlossaryEnergy )andand 2002

  14. Interactive Computing 1 Input/Output and Complex Arithmetic

    E-Print Network [OSTI]

    Verschelde, Jan

    Interactive Computing 1 Input/Output and Complex Arithmetic interactive Python scripts complex Software (MCS 507 L-3) Interactive Computing 30 August 2013 1 / 33 #12;Interactive Computing 1 Input/Output and Complex Arithmetic interactive Python scripts complex arithmetic 2 Python Coding Style and pylint coding

  15. A Note on Platt's Probabilistic Outputs for Support Vector Machines

    E-Print Network [OSTI]

    Abu-Mostafa, Yaser S.

    A Note on Platt's Probabilistic Outputs for Support Vector Machines Hsuan-Tien Lin (htlin, National Chengchi University, Taipei 116, Taiwan Abstract. Platt's probabilistic outputs for Support Vector Machines (Platt, 2000) has been popular for applications that require posterior class probabilities

  16. Output regulation problem for differentiable families of linear systems

    E-Print Network [OSTI]

    Politècnica de Catalunya, Universitat

    The output regulation problem arose as one of the main research topics in linear control theory in the 1970s regulation when modeled by a global or a local differentiable family. Partially supported by DGICYT n.PB97Output regulation problem for differentiable families of linear systems Albert Compta and Marta Pe

  17. Challenges in Predicting Power Output from Offshore Wind Farms

    E-Print Network [OSTI]

    Pryor, Sara C.

    Challenges in Predicting Power Output from Offshore Wind Farms R. J. Barthelmie1 and S. C. Pryor2 Abstract: Offshore wind energy is developing rapidly in Europe and the trend is towards large wind farms an offshore wind farm, accurate assessment of the wind resource/power output from the wind farm is a necessity

  18. A Counterexample to Additivity of Minimum Output Entropy

    E-Print Network [OSTI]

    M. B. Hastings

    2009-12-30T23:59:59.000Z

    We present a random construction of a pair of channels which gives, with non-zero probability for sufficiently large dimensions, a counterexample to the minimum output entropy conjecture. As shown by Shor, this implies a violation of the additivity conjecture for the classical capacity of quantum channels. The violation of the minimum output entropy conjecture is relatively small.

  19. Energy Efficiency Services Sector: Workforce Size and Expectations for Growth

    E-Print Network [OSTI]

    Goldman, Charles

    2010-01-01T23:59:59.000Z

    Osborn 2005. “Review of U.S. ESCO industry market trends: an2007. “A Survey of the U.S. ESCO Industry: Market Growth andContractors.. 21 Table 3-2. Job categories in ESCO

  20. Industrial Users

    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 for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOf SmartIndustrial Users The

  1. Industry @ ALS

    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 for4,645 3,625 1,006 492 742EnergyOnItemResearch > The Energy Materials Center at CornellOf SmartIndustrial Users

  2. Industrial Users

    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 Science (SC) EnvironmentalGyroSolé(tm)HydrogenRFP »summerlectures [ICO]default Sign InIndustrial

  3. Most efficient quantum thermoelectric at finite power output

    E-Print Network [OSTI]

    Robert S. Whitney

    2014-03-13T23:59:59.000Z

    Machines are only Carnot efficient if they are reversible, but then their power output is vanishingly small. Here we ask, what is the maximum efficiency of an irreversible device with finite power output? We use a nonlinear scattering theory to answer this question for thermoelectric quantum systems; heat engines or refrigerators consisting of nanostructures or molecules that exhibit a Peltier effect. We find that quantum mechanics places an upper bound on both power output, and on the efficiency at any finite power. The upper bound on efficiency equals Carnot efficiency at zero power output, but decays with increasing power output. It is intrinsically quantum (wavelength dependent), unlike Carnot efficiency. This maximum efficiency occurs when the system lets through all particles in a certain energy window, but none at other energies. A physical implementation of this is discussed, as is the suppression of efficiency by a phonon heat flow.

  4. Saving Output to a File (Using Codeblocks or Dev-C++) Saving Your Output to a File

    E-Print Network [OSTI]

    Sokol, Dina

    Saving Output to a File (Using Codeblocks or Dev-C++) Saving Your Output to a File To save | New | Source File. d. In the new window, right-click and select Paste. e. Then select "File | Save as" to save and name the file. i. In the window that pops up, the bottom fill-in box is labelled "Save as type

  5. Mechanical & Industrial Engineering

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Mechanical & Industrial Engineering 1 Welcome MIE Industrial Advisory Board October 15, 2010 #12;Mechanical & Industrial Engineering 2 MIE Dorothy Adams Undergraduate/Graduate Secretary David Schmidt Associate Professor & Graduate Program Director #12;Mechanical & Industrial Engineering 3 MIE James Rinderle

  6. Industrial Decision Making 

    E-Print Network [OSTI]

    Elliott, R. N.; McKinney, V.; Shipley, A.

    2008-01-01T23:59:59.000Z

    and industrial investment decision-making. The paper will also address several important questions: • Why has industrial investment declined? • What is the outlook for industrial investment? • How can programs engage industry for future opportunities?...

  7. INDUSTRIAL ENGINEERING Industrial engineering is concerned

    E-Print Network [OSTI]

    INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. The focus of industrial engineering is on process improvement

  8. INDUSTRIAL ENGINEERING Industrial engineering is concerned

    E-Print Network [OSTI]

    INDUSTRIAL ENGINEERING Industrial engineering is concerned with looking at the "big picture" of systems that allow organizations and individuals to perform at their best. Industrial engineers bridge should be used and how they should be used. Industrial engineers design and run the factories and systems

  9. System for monitoring an industrial or biological process

    DOE Patents [OSTI]

    Gross, Kenneth C. (Argonne, IL); Wegerich, Stephan W. (Argonne, IL); Vilim, Rick B. (Argonne, IL); White, Andrew M. (Skokie, IL)

    1998-01-01T23:59:59.000Z

    A method and apparatus for monitoring and responding to conditions of an industrial process. Industrial process signals, such as repetitive manufacturing, testing and operational machine signals, are generated by a system. Sensor signals characteristic of the process are generated over a time length and compared to reference signals over the time length. The industrial signals are adjusted over the time length relative to the reference signals, the phase shift of the industrial signals is optimized to the reference signals and the resulting signals output for analysis by systems such as SPRT.

  10. Correction method for in-air output ratio for output variations occurring with changes in backscattered radiation

    SciTech Connect (OSTI)

    Tajiri, Minoru; Tokiya, Yuji; Watanabe, Kazuhiro [Research Center Hospital for Charged Particle Therapy, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba 263-8555 (Japan); International University of Health and Welfare, 1-4-3, Mita, Minato-ku, Tokyo 108-8329 (Japan); Research Center Hospital for Charged Particle Therapy, National Institute of Radiological Sciences, 4-9-1, Anagawa, Inage-ku, Chiba 263-8555 (Japan)

    2012-02-15T23:59:59.000Z

    Purpose: The in-air output ratio (S{sub c}) for a rectangular field is usually obtained using an equivalent square field formula. However, it is well-known that S{sub c} obtained using an equivalent square field formula differs slightly from the measured S{sub c}. Though several correction methods have been suggested for the monitor-backscatter effect, the authors propose a more simple correction method for a rectangular field. Methods: For rectangular fields and equivalent square fields, the authors assumed that the output variation was the product of six output variations for each backscattering area at the top of the collimator jaws, and the correction factor was the ratio of the output variation for a rectangular field to the output variation for an equivalent square field. The output variation was measured by using a telescope measurement. Results: The differences between the measured and corrected S{sub c} ranged from -0.20% to 0.28% for symmetric rectangular fields by applying the correction factor to S{sub c} obtained using an equivalent square field formula. This correction method is also available for asymmetric rectangular fields. Conclusions: The authors propose a method to correct S{sub c} obtained using an equivalent square field formula, and a method to obtain the output variation for a field defined by collimator jaws.

  11. Community Climate System Model (CCSM) Experiments and Output Data

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

    The CCSM web makes the source code of various versions of the model freely available and provides access to experiments that have been run and the resulting output data.

  12. The Effect of Signal Quality on Six Cardiac Output Estimators

    E-Print Network [OSTI]

    Mark, Roger Greenwood

    The effect of signal quality on the accuracy of cardiac output (CO) estimation from arterial blood pressure (ABP) was evaluated using data from the MIMIC II database. Thermodilution CO (TCO) was the gold standard. A total ...

  13. Development of Regional Wind Resource and Wind Plant Output Datasets...

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

    50-47676 March 2010 Development of Regional Wind Resource and Wind Plant Output Datasets Final Subcontract Report 15 October 2007 - 15 March 2009 3TIER Seattle, Washington National...

  14. Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output Perturbation

    E-Print Network [OSTI]

    Washington at Seattle, University of

    Calibrated Probabilistic Mesoscale Weather Field Forecasting: The Geostatistical Output. This is typically not feasible for mesoscale weather prediction carried out locally by organizations without by simulating realizations of the geostatistical model. The method is applied to 48-hour mesoscale forecasts

  15. Corticospinal Output to Hindlimb Muscles in the Primate

    E-Print Network [OSTI]

    Hudson, Heather M

    2011-05-31T23:59:59.000Z

    The overall goal of this study was to investigate the properties of corticospinal output to a wide range of hindlimb muscles in the primate and to map the representation of individual muscles in hindlimb motor cortex. ...

  16. Grid adaptation for functional outputs of compressible flow simulations

    E-Print Network [OSTI]

    Venditti, David Anthony, 1973-

    2002-01-01T23:59:59.000Z

    An error correction and grid adaptive method is presented for improving the accuracy of functional outputs of compressible flow simulations. The procedure is based on an adjoint formulation in which the estimated error in ...

  17. Process and Intermediate Calculations User AccessInputs Outputs

    E-Print Network [OSTI]

    Process and Intermediate Calculations User AccessInputs Outputs Fire Behavior & Probability STARFire System Flow Valuation Processing Temporal Schedules Smoke · Zones · Zone impact · Emissions Fire and compare Valuation (Structured Elicit Process) 1) Value Layers: · Point (housing, cultural trees, etc

  18. An Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios

    E-Print Network [OSTI]

    , and the different means of generating power. We build a flexible framework for creating new industry sectors, supply of Future Electricity Generation Scenarios Joe Marriott Submitted in Partial Fulfillment of the Requirements in the input- output model of the U.S. economy, the power generation sector is an excellent candidate

  19. Industrial ecology Prosperity Game{trademark}

    SciTech Connect (OSTI)

    Beck, D.; Boyack, K.; Berman, M.

    1998-03-01T23:59:59.000Z

    Industrial ecology (IE) is an emerging scientific field that views industrial activities and the environment as an interactive whole. The IE approach simultaneously optimizes activities with respect to cost, performance, and environmental impact. Industrial Ecology provides a dynamic systems-based framework that enables management of human activity on a sustainable basis by: minimizing energy and materials usage; insuring acceptable quality of life for people; minimizing the ecological impact of human activity to levels that natural systems can sustain; and maintaining the economic viability of systems for industry, trade and commerce. Industrial ecology applies systems science to industrial systems, defining the system boundary to incorporate the natural world. Its overall goal is to optimize industrial activities within the constraints imposed by ecological viability, globally and locally. In this context, Industrial systems applies not just to private sector manufacturing and services but also to government operations, including provision of infrastructure. Sandia conducted its seventeenth Prosperity Game{trademark} on May 23--25, 1997, at the Hyatt Dulles Hotel in Herndon, Virginia. The primary sponsors of the event were Sandia National Laboratories and Los Alamos National Laboratory, who were interested in using the format of a Prosperity Game to address some of the issues surrounding Industrial Ecology. Honorary game sponsors were: The National Science Foundation; the Committee on Environmental Improvement, American Chemical Society; the Industrial and Engineering Chemistry Division, American Chemical Society; the US EPA--The Smart Growth Network, Office of Policy Development; and the US DOE-Center of Excellence for Sustainable Development.

  20. State Level Analysis of Industrial Energy Use 

    E-Print Network [OSTI]

    Elliott, R. N.; Shipley, A. M.; Brown, E.

    2003-01-01T23:59:59.000Z

    in the global aluminum market. Similarly, increases in electricity prices combined with declining old-growth timber inventories lead to a decline in the wood products and primary paper industries. The outlook for these industries is equally uncertain.... Available: http://www.eia.doe.gov/cneaf/electricity/esr/ esr sum.html. Washington, D.C.: USDOE. [DOE/EIA] Department of Energy, Energy Information Administration. 2000. Annual Energy Outlook 2001. DOE/EIA 0383(2001). Washington, D.C.: Department...

  1. Rising U.S. oil output leads world oil supply growth

    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) -heating oil pricepropanepropane780 2.835 2.812

  2. Rethinking the industrial landscape : the future of the Ford Rouge complex

    E-Print Network [OSTI]

    Bodurow Rea, Constance Corinne

    1991-01-01T23:59:59.000Z

    The growth and decline of manufacturing industries in the past century and the industrial landscape that this activity has produced has had profound physical, environmental, social and economic impact on the communities ...

  3. Industrial Energy: Counseling the Marriage Between Energy Users and Efficiency Programs

    E-Print Network [OSTI]

    Russell, C.

    2013-01-01T23:59:59.000Z

    to reduce utility bills can become a strategic partnership for boosting industry competitiveness and economic growth. This approach necessarily involves capital investment choices. Aside from the usual technical analyses, industry managers and program...

  4. Econometric model of the U.S. sheep and mohair industries for policy analysis 

    E-Print Network [OSTI]

    Ribera Landivar, Luis Alejandro

    2005-08-29T23:59:59.000Z

    The U.S. sheep industry has been declining in size for many years. Many factors have contributed to the decline of the sheep industry including declining consumption of lamb and mutton, the growth in manmade fiber use, ...

  5. Photovoltaic industry progress through 1984

    SciTech Connect (OSTI)

    Watts, R.L.; Smith, S.A.; Dirks, J.A.

    1985-04-01T23:59:59.000Z

    The growth of the US photovoltaics (PV) industry over the past decade has been impressive. First designed to provide power for satellites using high-cost production techniques, PV is now the economical choice in many remote terrestrial applications. The remarkable growth of PV in terms of quality of cells and modules, production techniques, and system design, was initiated by a cooperative effort of the US Government and the domestic PV manufacturers. European and Japanese firms entered the PV industry later, but are also growing rapidy. The Europeans continue to supply PV systems for village electrification and water pumping to many Third World countries. The Japanese have been developing the amorphous silicon (A-Si) technology by expanding its use in consumer goods. The world PV industry saw dramatic changes in industry ownership and in the emphasis on developing new and improved technology during 1984. The objective of this report is to present information on the developments of the world PV industry and focuses on developments occurring in 1984. Information is presented on a regional basis (US, Europe, Japan, other) to avoid disclosing company-confidential data. All information was gleaned from several sources, including a review of the technical literature and direct contacts with PV manufacturers. Prior to publishing the regional totals, all numbers were compared with those of other sources. The information contained in this report is prepared for use by the Department of Energy for their use in long-term R and D planning. However, this information should also be of interest by PV manufacturers and to those who may be contemplating entering the PV market. PV shipments for 1984, government supports for PV, and various PV market sectors are discussed.

  6. External research and energy efficiency in the process industries

    SciTech Connect (OSTI)

    Kaarsberg, T.M.; Foust, T.D.

    1997-07-01T23:59:59.000Z

    The process industries in the US are under enormous pressure. These industries, even more than US industry on average, face skyrocketing environmental costs, a rapidly changing electricity market, potential climate change policies, aging infrastructure and strong international competition. To be profitable they must reduce their costs and environmental impacts while increasing their product quality, turnaround time, productivity and output. Most of these industries have already cut costs and labor as much as possible. Therefore, to survive, these industries must innovate. History shows that industries that are the most innovative are the most successful. These industries are vital to the US economy. For example, the metals, pulp and paper, chemicals and the petroleum refining industries account for more than $800 billion in products shipped and employ more than three million workers. Although the US has shifted dramatically toward services with 77% of workers and 74% of GDP now in the service sector, what many have missed is that the process industries are important customers for many of these new services. ServOnly the last two years of NSF industrial R and D data provide any breakout of non-manufacturing R and D. This paper discusses the past, current and possible future role of eternal research and development (R and D)--much of which is now in the service sector--in fostering innovation and thus energy efficiency in these industries. The authors suggest that these industries are more innovative than previously thought because of external research.

  7. Nonlinear quantum input-output analysis using Volterra series

    E-Print Network [OSTI]

    Jing Zhang; Yu-xi Liu; Re-Bing Wu; Kurt Jacobs; Sahin Kaya Ozdemir; Lan Yang; Tzyh-Jong Tarn; Franco Nori

    2014-08-04T23:59:59.000Z

    Quantum input-output theory plays a very important role for analyzing the dynamics of quantum systems, especially large-scale quantum networks. As an extension of the input-output formalism of Gardiner and Collet, we develop a new approach based on the quantum version of the Volterra series which can be used to analyze nonlinear quantum input-output dynamics. By this approach, we can ignore the internal dynamics of the quantum input-output system and represent the system dynamics by a series of kernel functions. This approach has the great advantage of modelling weak-nonlinear quantum networks. In our approach, the number of parameters, represented by the kernel functions, used to describe the input-output response of a weak-nonlinear quantum network, increases linearly with the scale of the quantum network, not exponentially as usual. Additionally, our approach can be used to formulate the quantum network with both nonlinear and nonconservative components, e.g., quantum amplifiers, which cannot be modelled by the existing methods, such as the Hudson-Parthasarathy model and the quantum transfer function model. We apply our general method to several examples, including Kerr cavities, optomechanical transducers, and a particular coherent feedback system with a nonlinear component and a quantum amplifier in the feedback loop. This approach provides a powerful way to the modelling and control of nonlinear quantum networks.

  8. The world of quantum noise and the fundamental output process

    E-Print Network [OSTI]

    V. P. Belavkin; O. Hirota; R. Hudson

    2005-10-04T23:59:59.000Z

    A stationary theory of quantum stochastic processes of second order is outlined. It includes KMS processes in wide sense like the equilibrium finite temperature quantum noise given by the Planck's spectral formula. It is shown that for each stationary noise there exists a natural output process output process which is identical to the noise in the infinite temperature limit, and flipping with the noise if the time is reversed at finite temperature. A canonical Hilbert space representation of the quantum noise and the fundamental output process is established and a decomposition of their spectra is found. A brief explanation of quantum stochastic integration with respect to the input-output processes is given using only correlation functions. This provides a mathematical foundation for linear stationary filtering transformations of quantum stochastic processes. It is proved that the colored quantum stationary noise and its time-reversed version can be obtained in the second order theory by a linear nonadapted filtering of the standard vacuum noise uniquely defined by the canonical creation and annihilation operators on the spectrum of the input-output pair.

  9. New Industrial Park Energy Supply for Economical Energy Conservation

    E-Print Network [OSTI]

    Scott, D.; Marda, R. S.; Hodson, J. S.; Williams, M.

    1982-01-01T23:59:59.000Z

    steam inlet conditions of 550 psig and 825?~. The gross output from this machine is 11.6 MW(ej. Process steam for the industrial users is rdmoved from the turbine cycle at the topping turbi~e exhaust. Approximately 840,000 lb/hr of prdcess steam...

  10. Optimal Scheduling of Industrial Combined Heat and Power Plants

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    -output relationships that are thermodynamically sound, such as the Willans line for steam turbines. Furthermore, we-switching for boilers and supplementary firing for gas turbines, and transitional behavior. Transitional behavior economies such as India and China. Many of the CHP plants are industrial CHP plants that supply steam

  11. Electric Utility Industry Update

    Broader source: Energy.gov [DOE]

    Presentation—given at the April 2012 Federal Utility Partnership Working Group (FUPWG) meeting—covers significant electric industry trends and industry priorities with federal customers.

  12. Uranium industry annual 1997

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    This report provides statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing.

  13. CASL Industry Council Meeting

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

    IndustryCouncil.shtml The new members that joined the Industry Council include NPP owneroperators with analysis capability: Tyrone Stevens of Exelon, and SMR vendors:...

  14. Microwave generated electrodeless lamp for producing bright output

    SciTech Connect (OSTI)

    Wood, Ch. H.; Ury, M. G.

    1985-03-26T23:59:59.000Z

    A microwave generated electrodeless light source for producing a bright output comprising a lamp structure including a microwave chamber and a plasma medium-containing lamp envelope having a maximum dimension which is substantially less than a wavelength disposed therein. To provide the desired radiation output the interior of the chamber is coated with a UV-reflective material and the chamber has an opening for allowing UV radiation to exit, which is covered with a metallic mesh. The chamber is arranged to be near-resonant at a single wavelength, and the lamp envelope has a fill including mercury at an operating pressure of 1-2 atmospheres, while a power density of at least 250-300 (watts/cm/sup 3/) is coupled to the envelope to result in a relatively high deep UV output at a relatively high brightness.

  15. Industrial Combustion Technology Roadmap. A Technology Roadmap by and for the Industrial Combustion Community

    SciTech Connect (OSTI)

    none,

    2002-10-01T23:59:59.000Z

    The U.S. combustion industry is among the most productive, efficient, and technologically sophisticated in the world and remains vital to the nation’s economic competitiveness and national security. As the industry looks forward, it confronts tremendous growth opportunities but also significant technical and market challenges. Future industry success will depend on the industry's ability to respond to competitive pressures as well as public expectations for a clean and sustainable industry. Much progress has been made in understanding the fundamental science of combustion; however, much more is needed as regulatory and competitive forces push the industry to develop combustion equipment with better performance, lower environmental impact, and greater flexibility. Immense opportunities exist for companies to develop and apply new technology responding to these needs. Unfortunately, few companies can accept the high technical and financial risk required for the research if the technology is not adopted widely enough to provide a payback on their investment.

  16. Self-consistent input-output formulation of quantum feedback

    SciTech Connect (OSTI)

    Yanagisawa, M. [Department of Engineering, The Australian National University, Canberra, ACT 0200 (Australia); Hope, J. J. [Department of Quantum Science, The Australian National University, Canberra, ACT 0200 (Australia)

    2010-12-15T23:59:59.000Z

    A simple method of analyzing quantum feedback circuits is presented. The classical analysis of feedback circuits can be generalized to apply to quantum systems by mapping the field operators of various outputs to other inputs via the standard input-output formalism. Unfortunately, this has led to unphysical results such as the violation of the Heisenberg uncertainty principle for in-loop fields. This paper shows that this general approach can be redeemed by ensuring a self-consistently Hermitian Hamiltonian. The calculations are based on a noncommutative calculus of operator derivatives. A full description of several examples of quantum linear and nonlinear feedback for optical systems is presented.

  17. Motor-output variability in a ballistic task

    E-Print Network [OSTI]

    Weeks, Douglas Lane

    1981-01-01T23:59:59.000Z

    MOTOR-OUTPUT VARIABILIT'f IN A BALLISTIC TASK A Thesis by DOUGLAS LANE WEEKS Submitted to the Graduate College of Texas ASM University in partsal fulfillment of the requirement for the degree of MASTER OF SCIENCE August 1981 Major Subject...: Physical Education MOTOR-OUTPUT VARIABILITY IN A BALLISTIC TASK A Thesis by DOUGLAS LANE WEEKS Approved as to style and content by: Chairman of Committee , ember C ee. yc ace Member )g p~ Head of Department August 1981 ADS!RACT !Notor...

  18. Enabling long term value added partnership in the healthcare industry

    E-Print Network [OSTI]

    Duarte Oliveira, Jorge Miguel dos Santos Fradinho

    2005-01-01T23:59:59.000Z

    The USA healthcare industry has recently undergone significant pressure to become competitive and think innovatively due to its increased growth as a percentage of the GDP, which was as much as 14. 1% in 2001. Additionally ...

  19. Oilfield Equipment Market - Global and U.S. Industry Analysis...

    Open Energy Info (EERE)

    U.S. Industry Analysis, Size, Share, Growth, Trends and Forecast Home > Groups > Increase Natural Gas Energy Efficiency John55364's picture Submitted by John55364(95) Contributor...

  20. Making Industry Part of the Climate Solution

    SciTech Connect (OSTI)

    Lapsa, Melissa Voss [ORNL; Brown, Dr. Marilyn Ann [Georgia Institute of Technology; Jackson, Roderick K [ORNL; Cox, Matthew [Georgia Institute of Technology; Cortes, Rodrigo [Georgia Institute of Technology; Deitchman, Benjamin H [ORNL

    2011-06-01T23:59:59.000Z

    Improving the energy efficiency of industry is essential for maintaining the viability of domestic manufacturing, especially in a world economy where production is shifting to low-cost, less regulated developing countries. Numerous studies have shown the potential for significant cost-effective energy-savings in U.S. industries, but the realization of this potential is hindered by regulatory, information, workforce, and financial obstacles. This report evaluates seven federal policy options aimed at improving the energy efficiency of industry, grounded in an understanding of industrial decision-making and the barriers to efficiency improvements. Detailed analysis employs the Georgia Institute of Technology's version of the National Energy Modeling System and spreadsheet calculations, generating a series of benefit/cost metrics spanning private and public costs and energy bill savings, as well as air pollution benefits and the social cost of carbon. Two of the policies would address regulatory hurdles (Output-Based Emissions Standards and a federal Energy Portfolio Standard with Combined Heat and Power); three would help to fill information gaps and workforce training needs (the Superior Energy Performance program, Implementation Support Services, and a Small Firm Energy Management program); and two would tackle financial barriers (Tax Lien Financing and Energy-Efficient Industrial Motor Rebates). The social benefit-cost ratios of these policies appear to be highly favorable based on a range of plausible assumptions. Each of the seven policy options has an appropriate federal role, broad applicability across industries, utilizes readily available technologies, and all are administratively feasible.

  1. INTRODUCTION The power industry is at the dawn of a new era

    E-Print Network [OSTI]

    Shihada, Basem

    that there may be almost 81 percent drop in output power over the span of just five minutes in a solar photoINTRODUCTION The power industry is at the dawn of a new era of transformation, triggered witnessed an increasing focus on the next gener- ation power grid from both industry and research. The goals

  2. A 350 MHz, 200 kW CW, Multiple Beam Inductive Output Tube - Final Report

    SciTech Connect (OSTI)

    R.Lawrece Ives; George Collins; David Marsden Michael Read; Edward Eisen; Takuchi Kamura, Philipp Borchard

    2012-11-28T23:59:59.000Z

    This program developed a 200 kW CW, 350 MHz, multiple beam inductive output tube (MBIOT) for driving accelerator cavities. The MBIOT operates at 30 kV with a gain of 23 dB. The estimated efficiency is 70%. The device uses seven electron beams, each transmitting 1.4 A of current. The tube is approximately six feet long and weighs approximately 400 lbs. The prototype device will be evaluated as a potential RF source for the Advanced Photon Source at Argonne National Laboratory (ANL). Because of issues related to delivery of the electron guns, it was not possible to complete assembly and test of the MBIOT during the Phase II program. The device is being completed with support from Calabazas Creek Research, Inc., Communications & Power Industries, LLC. and the Naval Surface Weapons Center (NSWC) in Dahlgren, VA. The MBIOT will be initially tested at NSWC before delivery to ANL. The testing at NSWC is scheduled for February 2013.

  3. Industry Analysis February 2013

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    technology ­ Clean tech/ clean technology #12;7 Industry Studies · IbisWorld ­ U.S. and global industry-Industries · Biodiesel ­ Biofuel ­ Alternate fuels ­ Green fuels ­ Renewable fuels/energy ­ Green energy ­ Green Canada, Census, Industry Canada, the OECD, European Union, IMF, World Bank, UN . . . Never pay for stats

  4. INDUSTRIAL ENGINEERING GRADUATE PROGRAMS

    E-Print Network [OSTI]

    Gelfond, Michael

    : Occupational biomechanics, work physiology, industrial ergonomics, environmental hygiene, cognitive engineeringINDUSTRIAL ENGINEERING GRADUATE PROGRAMS The Master of Science in Industrial Engineering (M Systems and Engineering (M.S.M.S.E.), the Doctor of Philosophy in Industrial Engineering, and the Doctor

  5. Control of fuel cell power output Federico Zenith, Sigurd Skogestad *

    E-Print Network [OSTI]

    Skogestad, Sigurd

    Control of fuel cell power output Federico Zenith, Sigurd Skogestad * Department of Chemical A simplified dynamic model for fuel cells is developed, based on the concept of instantaneous characteristic, which is the set of values of current and voltage that a fuel cell can reach instantaneously

  6. On Optimal Distributed Output-Feedback Control over Acyclic Graphs

    E-Print Network [OSTI]

    Gattami, Ather

    2012-01-01T23:59:59.000Z

    In this paper, we consider the problem of distributed optimal control of linear dynamical systems with a quadratic cost criterion. We study the case of output feedback control for two interconnected dynamical systems, and show that the linear optimal solution can be obtained from a combination of two uncoupled Riccati equations and two coupled Riccati equations.

  7. TRICOLOR LIGHT EMITTING DIODE DOT MATRIX DISPLAY SYSTEM WITHAUDIO OUTPUT

    E-Print Network [OSTI]

    Pang, Grantham

    1 TRICOLOR LIGHT EMITTING DIODE DOT MATRIX DISPLAY SYSTEM WITHAUDIO OUTPUT Grantham Pang, Chi emitting diodes; tricolor display; audio communication. I. Introduction This paper relates to a tricolor broadcasting through the visible light rays transmitted by the display panel or assembly. Keywords: light

  8. The effects of output transformers on distortion in audio amplifiers

    E-Print Network [OSTI]

    Lanier, Ross Edwin

    1949-01-01T23:59:59.000Z

    Introduction ~. . . . . . . . , . . . . . . ~. . . . . 7 Frequency Discrimination. . . . . . . . . . . . . . . . 9 Harmonic Distortion. ~ ~. . . . ~ 21 Distortion by the Intermodulationmethod. . . . . . . . 47 Comparison of Harmonic and Intermodulation... current in the primary as a function of frequency . 19 Output voltage of transformer 3 without direct current in the primary as a function of frequency 20 Block diagram for measuring distortion by the harmonic method 26 Per cent harmonic distortion...

  9. ANALOG-DIGITAL INPUT OUTPUT SYSTEM FOR APPLE CO

    E-Print Network [OSTI]

    Groppi, Christopher

    Initialization Program - ADIOS INITB Appendix 2 Test Program - ADIOS TEST Appendix 3 AND9513 Utilization Appendix HI-506A. Multiplexer F. Sprague UHP -507 Relay Driver G. Teledyne Solid-State Relays H. Advanced bus driver, a 4-bit relay driver, or two solid-state relays. Three of the digital output bits can

  10. Convergent relaxations of polynomial matrix inequalities and static output feedback

    E-Print Network [OSTI]

    Henrion, Didier

    (LMI) relaxations to solve non-convex polynomial matrix in- equality (PMI) optimization problems minimizers that satisfy the PMI. The approach is successfully applied to PMIs arising from static output- mulated as polynomial matrix inequality (PMI) optimization problems in the controller parameters

  11. Combined Heat & Power (CHP) -A Clean Energy Solution for Industry

    E-Print Network [OSTI]

    Parks, H.; Hoffman, P.; Kurtovich, M.

    From the late 1970's to the early 1990's cogeneration or CHP saw enormous growth, especially in the process industries. By 1994, CHP provided 42 GW of electricity generation capacity -about 6 percent of the U.S. total. Three manufacturing industries...

  12. Industrial energy efficiency policy in China

    SciTech Connect (OSTI)

    Price, Lynn; Worrell, Ernst; Sinton, Jonathan; Yun, Jiang

    2001-05-01T23:59:59.000Z

    Chinese industrial sector energy-efficiency policy has gone through a number of distinct phases since the founding of the People s Republic in 1949. An initial period of energy supply growth in the 1950s, 1960s, and 1970s was followed by implementation of significant energy efficiency programs in the 1980s. Many of these programs were dismantled in the 1990s during the continuing move towards a market-based economy. In an effort to once again strengthen energy efficiency, the Chinese government passes the Energy Conservation Law in 1997 which provides broad guidance for the establishment of energy efficiency policies. Article 20 of the Energy Conservation Law requires substantial improvement in industrial energy efficiency in the key energy-consuming industrial facilities in China. This portion of the Law declares that ''the State will enhance energy conservation management in key energy consuming entities.'' In 1999, the industrial sector consumed nearly 30 EJ, or 76 percent of China's primary energy. Even though primary energy consumption has dropped dramatically in recent years, due mostly to a decline in coal consumption, the Chinese government is still actively developing an overall policy for energy efficiency in the industrial sector modeled after policies in a number of industrialized countries. This paper will describe recent Chinese government activities to develop industrial sector energy-efficiency targets as a ''market-based'' mechanism for improving the energy efficiency of key industrial facilities.

  13. Lemniscate growth

    E-Print Network [OSTI]

    2012-05-08T23:59:59.000Z

    May 8, 2012 ... [8], (mem)Brane theory [3], elliptic growth [11], and non-Newtonian Hele-Shaw flows [5]. ...... a loose connection to non-Newtonian fluids.

  14. Education for the ManufacturingEducation for the Manufacturing Industries of the FutureIndustries of the Future

    E-Print Network [OSTI]

    Brock, David

    Growth. Every $1.00 in manufactured goods generates an additional $1.43 worth of additional economic© ATI 2006 Education for the ManufacturingEducation for the Manufacturing Industries of the FutureIndustries of the Future presented to thepresented to the 2006 MIT Manufacturing Summit:2006 MIT Manufacturing Summit

  15. Modeling the determinants of industry political power: industry winners in the Economic Recovery Tax Act of 1981

    E-Print Network [OSTI]

    Kardell, Amy Louise

    2004-09-30T23:59:59.000Z

    to take advantage of the new tax law; the new tax law did not significantly benefit all industries. Thus to claim that all corporations and all industries benefit uniformly from state actions would be misleading. The eight industries that benefited... claimed that these provisions would stimulate economic growth. Ironically in 1981, the same year in which the Economic Recovery Tax Act was passed, the Council of State Planning Agencies reported that the corporate tax incentives (primarily given...

  16. Observer-Controllers for Output Regulation: the Internal Model Principle Revisited

    E-Print Network [OSTI]

    Pao, Lucy Y.

    Observer-Controllers for Output Regulation: the Internal Model Principle Revisited Jason H. Laks rejection;tracking;model predictive control;output feedback control 1 Introduction Output regulation, the design of an output regulating observer-controller is less clear. This latter approach is based

  17. On Hastings' counterexamples to the minimum output entropy additivity conjecture

    E-Print Network [OSTI]

    Fernando G. S. L. Brandao; Michal Horodecki

    2009-07-19T23:59:59.000Z

    Hastings recently reported a randomized construction of channels violating the minimum output entropy additivity conjecture. Here we revisit his argument, presenting a simplified proof. In particular, we do not resort to the exact probability distribution of the Schmidt coefficients of a random bipartite pure state, as in the original proof, but rather derive the necessary large deviation bounds by a concentration of measure argument. Furthermore, we prove non-additivity for the overwhelming majority of channels consisting of a Haar random isometry followed by partial trace over the environment, for an environment dimension much bigger than the output dimension. This makes Hastings' original reasoning clearer and extends the class of channels for which additivity can be shown to be violated.

  18. Optical device with conical input and output prism faces

    DOE Patents [OSTI]

    Brunsden, Barry S. (Chicago, IL)

    1981-01-01T23:59:59.000Z

    A device for radially translating radiation in which a right circular cylinder is provided at each end thereof with conical prism faces. The faces are oppositely extending and the device may be severed in the middle and separated to allow access to the central part of the beam. Radiation entering the input end of the device is radially translated such that radiation entering the input end at the perimeter is concentrated toward the output central axis and radiation at the input central axis is dispersed toward the output perimeter. Devices are disclosed for compressing beam energy to enhance drilling techniques, for beam manipulation of optical spatial frequencies in the Fourier plane and for simplification of dark field and color contrast microscopy. Both refracting and reflecting devices are disclosed.

  19. An Advanced simulation Code for Modeling Inductive Output Tubes

    SciTech Connect (OSTI)

    Thuc Bui; R. Lawrence Ives

    2012-04-27T23:59:59.000Z

    During the Phase I program, CCR completed several major building blocks for a 3D large signal, inductive output tube (IOT) code using modern computer language and programming techniques. These included a 3D, Helmholtz, time-harmonic, field solver with a fully functional graphical user interface (GUI), automeshing and adaptivity. Other building blocks included the improved electrostatic Poisson solver with temporal boundary conditions to provide temporal fields for the time-stepping particle pusher as well as the self electric field caused by time-varying space charge. The magnetostatic field solver was also updated to solve for the self magnetic field caused by time changing current density in the output cavity gap. The goal function to optimize an IOT cavity was also formulated, and the optimization methodologies were investigated.

  20. Simple SPICE model for comparison of CMOS output driver circuits

    E-Print Network [OSTI]

    Hermann, John Karl

    1993-01-01T23:59:59.000Z

    to monitor the ground nodes of output driver circuits for noise. Both relative performance and noise levels are generated through the simulations. A test device was built to confirm that the model was effective in speed and noise comparisons. Values were... on CMOS technologies. Journal model is IEEE 'I?ansactions on Automatic Control. A. Literature Survey Research has been done in the past concerning noise generated by digital logic de- vices. In particular, Advanced CMOS Logic (ACL) integrated circuits...

  1. Input-output multiplier distributions from probabilistic production paths

    SciTech Connect (OSTI)

    Konecny, R.T.

    1987-01-01T23:59:59.000Z

    In the standard Leontief input-output model, a single dominant technology is assumed in the production of a particular commodity. However, in the real world, quite similar commodities are produced by firms with vastly different technologies. In addressing this limitation, the Probabilistic Production Path model (PPP) is used to investigate both the method of production and identity of the producer. An important feature of the PPP model is the consideration of the effects that heterogeneous technologies and dissimilar trade patterns have on the properties of the distribution of input-output multipliers. The derivation of the distribution of output multipliers is generalized for discrete probabilities based on market shares. Due to the complexity of the generalized solution, a simulation model is used to approximate the multiplier distribution. Results of the model show that the distributional properties of the multipliers are unpredictable, with the majority of the distributions being multimodal. Typically, the mean of the multipliers lies in a trough between two modes. Multimodal multiplier distributions were found to have a tighter symmetric interval than the corresponding standard normal confidence interval. Therefore, the use of the normal confidence interval appears to be sufficient, though overstated, for the construction of confidence intervals in the PPP model.

  2. Development of output user interface software to support analysis

    SciTech Connect (OSTI)

    Wahanani, Nursinta Adi, E-mail: sintaadi@batan.go.id; Natsir, Khairina, E-mail: sintaadi@batan.go.id; Hartini, Entin, E-mail: sintaadi@batan.go.id [Center for Development of Nuclear Informatics - National Nuclear Energy Agency, PUSPIPTEK, Serpong, Tangerang, Banten (Indonesia)

    2014-09-30T23:59:59.000Z

    Data processing software packages such as VSOP and MCNPX are softwares that has been scientifically proven and complete. The result of VSOP and MCNPX are huge and complex text files. In the analyze process, user need additional processing like Microsoft Excel to show informative result. This research develop an user interface software for output of VSOP and MCNPX. VSOP program output is used to support neutronic analysis and MCNPX program output is used to support burn-up analysis. Software development using iterative development methods which allow for revision and addition of features according to user needs. Processing time with this software 500 times faster than with conventional methods using Microsoft Excel. PYTHON is used as a programming language, because Python is available for all major operating systems: Windows, Linux/Unix, OS/2, Mac, Amiga, among others. Values that support neutronic analysis are k-eff, burn-up and mass Pu{sup 239} and Pu{sup 241}. Burn-up analysis used the mass inventory values of actinide (Thorium, Plutonium, Neptunium and Uranium). Values are visualized in graphical shape to support analysis.

  3. Ring laser having an output at a single frequency

    DOE Patents [OSTI]

    Hackell, Lloyd A. (Livermore, CA)

    1991-01-01T23:59:59.000Z

    A ring laser is disclosed that produces a single frequency of laser radiation in either the pulsed mode of operation or the continuous waveform (cw) mode of operation. The laser comprises a ring laser in a bowtie configuration, a birefringent gain material such as Nd:YLF, an improved optical diode that supports laser oscillation having a desired direction of travel and linear polarization, and a Q-switch. An output coupler (mirror) having a high reflectivity, such as 94%, is disclosed. Also disclosed is a self-seeded method of operation in which the laser can provide a pulse or a series of pulses of high power laser radiation at a consistent single frequency with a high degree of amplitude stability and temporal stability. In operation, the laser is operated in continuous waveform (cw) at a low power output with the Q-switch introducing a loss into the resonating cavity. Pumping is continued at a high level, causing the gain material to store energy. When a pulse is desired, the Q-switch is actuated to substantially reduce the losses so that a pulse can build up based on the low level cw oscillation. The pulse quickly builds, using the stored energy in the gain medium to provide a high power output pulse. The process may be repeated to provide a series of high power pulses of a consistent single frequency.

  4. The Industrial Electrification Program

    E-Print Network [OSTI]

    Harry, I. L.

    1982-01-01T23:59:59.000Z

    EPRI's role as the research organization of the electric power industry, in coordination with potential user industries, is to 1) define the viability of candidate electrification technologies by monitoring the state-of-the-art and continuously...

  5. Electrotechnologies in Process Industries

    E-Print Network [OSTI]

    Amarnath, K. R.

    The Industrial Program at the Electric Power Research Institute (EPRI) promotes the efficient use of electricity to improve the competitive position of the American industry. Electrotechnologies that improve productivity, improve quality...

  6. and Industrial Engineering

    E-Print Network [OSTI]

    Mountziaris, T. J.

    technologicalandlogisticssystemsbygathering, structuring, and managing information. Indus- trial engineers apply their knowledge not only45 Mechanical and Industrial Engineering 220 Engineering Lab Degrees: Bachelor of Science in Mechanical Engineering Bachelor of Science in Industrial Engineering Contact: James R. Rinderle

  7. Demographics and industry returns

    E-Print Network [OSTI]

    Pollet, Joshua A.; DellaVigna, Stefano

    2007-01-01T23:59:59.000Z

    Industry category Child care Children’s books Children’s clothing Toysindustry Child care Children’s books Children’s clothing ToysIndustries are associated with high demand by children (child care, toys) and

  8. INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY

    E-Print Network [OSTI]

    Pohl, Karsten

    INDUSTRIAL ENGINEER APPRENTICE OPPORTUNITY SUMMER 2013 Industrial Engineering COOP Student needed-Fri, for summer 2013. Student must be enrolled in BS Engineering program. (Preferably completed 2-3 yrs

  9. Industry Analysis October 2010

    E-Print Network [OSTI]

    Abolmaesumi, Purang

    Different regulations for some industries in Canada, the U.S. and Europe ie. telecommunications, energy of energy, materials, industrial waste, byproducts #12;Contact Constance Adamson Stauffer Library adamsonc

  10. Geothermal Industry Partnership Opportunities

    Broader source: Energy.gov [DOE]

    Here you'll find links to information about partnership opportunities and programs for the geothermal industry.

  11. Business models and strategies in the video game industry : an analysis of Activision-Blizzard and Electronic Arts

    E-Print Network [OSTI]

    Lee, Ruri

    2013-01-01T23:59:59.000Z

    In recent years the video game industry has been of great importance in the business world beyond the role of a cultural medium. With its huge size and potential for more growth, the industry has attracted many newcomers. ...

  12. Mechanical & Industrial Engineering

    E-Print Network [OSTI]

    Mountziaris, T. J.

    Mechanical & Industrial Engineering Mario A. Rotea Professor and Department Head #12;2Mechanical & Industrial Engineering Outline · Undergraduate Degree Programs · Graduate Degree Programs · The Faculty · The Research · Summary #12;3Mechanical & Industrial Engineering Undergraduate Programs ­ BSME & BSIE 0 20 40 60

  13. Industrial Dojo Program Fosters Industrial Internet Development...

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

    share on LinkedIn (Opens in new window) Click to share on Tumblr (Opens in new window) GE Launches Cloud Foundry 'Industrial Dojo,' Contributes to Open Source to Foster Continued...

  14. LANSCE | Lujan Center | Industrial Users

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

    Industrial Users The Lujan Neutron Scattering Center offers a diverse set of capabilities and instruments for industrial projects. Industrial users are invited to contact Fredrik...

  15. Pacific Rim Summit on Industrial Biotechnology & Bioenergy

    Broader source: Energy.gov [DOE]

    The ninth annual Pacific Rim Summit on Industrial Biotechnology and Bioenergy will be held from December 7–9, 2014, in San Diego, California, at the Westin Gaslamp Quarter. Bringing together representatives from various countries all around the Pacific Rim, this event will focus on the growth of the industrial biotechnology and bioenergy sectors in North America and the Asia-Pacific region. Glenn Doyle, BETO's Deployment & Demonstration Technology Manager, will be moderating and speaking at a session on entitled "Utilizing Strategic Partnerships to Grow Your Business" on December 9.

  16. The Contribution of Services and other Sectors to Australian Productivity Growth 1980-2004

    E-Print Network [OSTI]

    de Gispert, Adrià

    The Contribution of Services and other Sectors to Australian Productivity Growth 1980-2004 A Report pointers to the Australian literature on sectoral productivity growth. Finally, we would like to thank ................................................................................................................................6 Labour Productivity: Macroeconomic Trends and Industry Patterns

  17. Faculty for Factory: A University-Industry Link Program in Jordan

    E-Print Network [OSTI]

    , mining, cement, and inorganic chemicals · Industrial production growth rate is about 1% #12;Challenges for mechatronics in Jordan · The size of the "production, automation, and manufacturing" industry is small and rubber 9. Construction 10. Wood industry and furniture #12;FFF Projects over the years 0 20 40 60 80 100

  18. Uranium industry annual 1998

    SciTech Connect (OSTI)

    NONE

    1999-04-22T23:59:59.000Z

    The Uranium Industry Annual 1998 (UIA 1998) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. It contains data for the period 1989 through 2008 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data provides a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Data on uranium raw materials activities for 1989 through 1998, including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment, are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2008, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, and uranium inventories, are shown in Chapter 2. The methodology used in the 1998 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. The Form EIA-858 ``Uranium Industry Annual Survey`` is shown in Appendix D. For the readers convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix E along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 24 figs., 56 tabs.

  19. Uranium industry annual 1994

    SciTech Connect (OSTI)

    NONE

    1995-07-05T23:59:59.000Z

    The Uranium Industry Annual 1994 (UIA 1994) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing during that survey year. The UIA 1994 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the 10-year period 1985 through 1994 as collected on the Form EIA-858, ``Uranium Industry Annual Survey.`` Data collected on the ``Uranium Industry Annual Survey`` (UIAS) provide a comprehensive statistical characterization of the industry`s activities for the survey year and also include some information about industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1994, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. A feature article, ``Comparison of Uranium Mill Tailings Reclamation in the United States and Canada,`` is included in the UIA 1994. Data on uranium raw materials activities including exploration activities and expenditures, EIA-estimated resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities, including purchases of uranium and enrichment services, and uranium inventories, enrichment feed deliveries (actual and projected), and unfilled market requirements are shown in Chapter 2.

  20. INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering

    E-Print Network [OSTI]

    Rohs, Remo

    78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take of industries including consulting, technology development, software, supply chain manufacturing, engineering

  1. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

    2009-06-02T23:59:59.000Z

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  2. Method and system for managing an electrical output of a turbogenerator

    DOE Patents [OSTI]

    Stahlhut, Ronnie Dean (Bettendorf, IA); Vuk, Carl Thomas (Denver, IA)

    2010-08-24T23:59:59.000Z

    The system and method manages an electrical output of a turbogenerator in accordance with multiple modes. In a first mode, a direct current (DC) bus receives power from a turbogenerator output via a rectifier where turbogenerator revolutions per unit time (e.g., revolutions per minute (RPM)) or an electrical output level of a turbogenerator output meet or exceed a minimum threshold. In a second mode, if the turbogenerator revolutions per unit time or electrical output level of a turbogenerator output are less than the minimum threshold, the electric drive motor or a generator mechanically powered by the engine provides electrical energy to the direct current bus.

  3. Long-Term Nuclear Industry Outlook - 2004

    SciTech Connect (OSTI)

    Reichmuth, Barbara A.; Wood, Thomas W.; Johnson, Wayne L.

    2004-09-30T23:59:59.000Z

    The nuclear industry has become increasingly efficient and global in nature, but may now be poised at a crossroads between graceful decline and profound growth as a viable provider of electrical energy. Predicted population and energy-demand growth, an increased interest in global climate change, the desire to reduce the international dependence on oil as an energy source, the potential for hydrogen co-generation using nuclear power reactors, and the improved performance in the nuclear power industry have raised the prospect of a “nuclear renaissance” in which nuclear power would play an increasingly more important role in both domestic and international energy market. This report provides an assessment of the role nuclear-generated power will plan in the global energy future and explores the impact of that role on export controls.

  4. Energy Efficiency in the Pulp and Paper Industry: Simulation of Steam Challenge and CHP Incentives with ITEMS

    E-Print Network [OSTI]

    Roop, J. M.

    in manufacturing as reported in the 1991 Manufacturing Energy Consumption Survey (MECS) (6). For simulation of the model, the major drivers are industry output and fuel prices (the latter may be taken from any of a number of publications; the simulations... for this paper use [7]). Output forecasts are derived from the technical appendix to the same source. The MECS data are used to calibrate the end uses for each industry and the fuel types for each industry. This is done with varying success. Food processing...

  5. Characterization of Stem Growth and Chemical Composition in Sorghum Bicolor

    E-Print Network [OSTI]

    Anderson Jr, Robert Taylor

    2014-03-31T23:59:59.000Z

    Sorghum bicolor is a subtropical grass grown throughout the world for human consumption, animal feed and for the growing biofuels industry. In this thesis I characterize sorghum stem growth and chemical composition, and identify QTL and candidate...

  6. A study of Korean shipbuilders' strategy for sustainable growth

    E-Print Network [OSTI]

    Won, Duck Hee

    2010-01-01T23:59:59.000Z

    This paper aims to develop potential strategies for Korean shipbuilders for sustainable growth by understanding the characteristics of the shipbuilding industry and the current market situation. Before the financial meltdown ...

  7. Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Spatial Interference Mitigation for Multiple Input Multiple Output Ad Hoc Networks: MISO Gains beamforming for a multiple input single output (MISO) ad hoc network to increase the density of successful

  8. Design of a 3.3 V analog video line driver with controlled output impedance

    E-Print Network [OSTI]

    Ramachandran, Narayan Prasad

    2004-09-30T23:59:59.000Z

    impedance of the line. The main requirements for design are high output swing, high linearity, matched impedance to the line and power efficiency. These requirements are addressed by a class AB amplifier whose output impedance can be controlled through...

  9. Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical Region

    E-Print Network [OSTI]

    Chalkiadakis, Georgios

    Predicting the Power Output of Distributed Renewable Energy Resources within a Broad Geographical potentially dis- tributed renewable energy resources (su years, estimating the power output of in- herently intermittent and potentially distributed renewable

  10. Industrial Retrofits are Possible

    E-Print Network [OSTI]

    Stobart, E. W.

    . In April of 1987, the provincial government initiated a program to assist industrial energy users to reduce their energy usage. This program was designed to concentrate on an in-depth analysis of the complete operations of industrial plants... with the analyses being performed by specialist, private sector, engineering consultants. The program is in 3 phases providing an Ontario industrial plant with an Energy Analysis, a Feasibility Analysis Grant and a Project Engineering Design Grant...

  11. Presentations for Industry

    Broader source: Energy.gov [DOE]

    Learn energy-saving strategies from leading manufacturing companies and energy experts. The presentations are organized below by topic area. In addition, industrial energy managers, utilities, and...

  12. About Industrial Distributed Energy

    Broader source: Energy.gov [DOE]

    The Advanced Manufacturing Office's (AMO's) Industrial Distributed Energy activities build on the success of predecessor DOE programs on distributed energy and combined heat and power (CHP) while...

  13. Industrial Demand Module

    Gasoline and Diesel Fuel Update (EIA)

    Boiler, Steam, and Cogeneration (BSC) Component. The BSC Component satisfies the steam demand from the PA and BLD Components. In some industries, the PA Component produces...

  14. New players, opportunities and frustrations in the global marketplace -- Results of an industry-wide survey

    SciTech Connect (OSTI)

    Schwartz, R.

    1998-07-01T23:59:59.000Z

    Review of the annual industry-wide survey of the independent power industry, including top players, market shares, company growth rates, player activities by country and market expectations. The author offers fresh analysis on industry trends based on the survey, conducted through direct interviews with nearly 200 global power developers. Unlike other overviews offering demand projections of various power markets, this survey takes a look at the industry itself.

  15. Soft-Input Soft-Output King Decoder for Coded MIMO Wireless Communications

    E-Print Network [OSTI]

    Soft-Input Soft-Output King Decoder for Coded MIMO Wireless Communications Giuseppe PAPA, Domenico,{domenico.ciuonzo,gianmarco.romano,pierluigi.salvorossi}@unina2.it Abstract--This paper presents a Soft-Input Soft-Output (SISO) version of the King Decoder (KD for Multiple-Input Multiple-Output (MIMO) communication systems. More specifically, four versions of the KD

  16. A Framework to Determine the Probability Density Function for the Output Power of Wind Farms

    E-Print Network [OSTI]

    Liberzon, Daniel

    A Framework to Determine the Probability Density Function for the Output Power of Wind Farms Sairaj to the power output of a wind farm while factoring in the availability of the wind turbines in the farm availability model for the wind turbines, we propose a method to determine the wind-farm power output pdf

  17. The electrical and lumen output characteristics of an RF lamp

    SciTech Connect (OSTI)

    Alexandrovich, B.M.; Godyak, V.A.; Piejak, R.B. [Osram Sylvania Inc., Beverly, MA (United States)

    1996-12-31T23:59:59.000Z

    Low pressure rf discharges have been studied for over a century. Their first practical application for lighting was proposed by Tesla in 1891. Since then hundreds of patents have been published attempting to implement rf lighting. However, progress in understanding rf discharge phenomena (mostly driven by plasma processing needs) and dramatic improvement in the performance/cost ratio of rf power sources have recently opened the door for development of rf light sources. Today commercial inductively coupled electrodeless lamps are offered by Matsuhita, Philips and GE. In this work the authors present measurements of the electrical characteristics and lumen output from a 2.65 MHz driven inductively coupled light source. Measurements were made on a spherical lamp of 3.125 inch diameter with a re-entrant cavity that houses a cylindrical ferrite core around which is wrapped the primary coil.

  18. Growing Hawaii's agriculture industry,

    E-Print Network [OSTI]

    Program Overview Growing Hawaii's agriculture industry, one business at a time Website: http-3547 agincubator@ctahr.hawaii.edu Grow Your Business If you are looking to start an agriculture-related business with our program · Positively impact the agriculture industry in Hawaii with their success

  19. Geothermal industry assessment

    SciTech Connect (OSTI)

    Not Available

    1980-07-01T23:59:59.000Z

    An assessment of the geothermal industry is presented, focusing on industry structure, corporate activities and strategies, and detailed analysis of the technological, economic, financial, and institutional issues important to government policy formulation. The study is based principally on confidential interviews with executives of 75 companies active in the field. (MHR)

  20. Industrial Optimization Compact Course

    E-Print Network [OSTI]

    Kirches, Christian

    Industrial Optimization Compact Course and Challenge Workshop Optimization plays a crucial role of the processes are typically nonlinear and dyna- mic. Thus, complex dynamic optimization or optimal control in industrial optimization. February 17­20, 2014 ·9.00­17.00 IWR ·Im Neuenheimer Feld 368 ·69120 Heidelberg www

  1. The growth of the coal trade: an overview

    SciTech Connect (OSTI)

    Not Available

    1981-08-01T23:59:59.000Z

    A brief overview is given of the growth of the seaborne coal industry, primarily in North America. Major consumers of the future are expected to be electric utilities, steel and cement industries in Europe and Japan. Projected coal consumption data and coal imports of European Economic Community to year 2000 are presented in tables. (JMT)

  2. Uranium industry annual 1996

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    The Uranium Industry Annual 1996 (UIA 1996) provides current statistical data on the US uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1996 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. Data on uranium raw materials activities for 1987 through 1996 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2006, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. A feature article, The Role of Thorium in Nuclear Energy, is included. 24 figs., 56 tabs.

  3. INDUSTRIAL&SYSTEMS Industrial and Systems engineers use

    E-Print Network [OSTI]

    Rohs, Remo

    78 INDUSTRIAL&SYSTEMS Industrial and Systems engineers use engineering and business principles companies compete in today's global marketplace. The Industrial and Systems engineer's task is to take · Industrial and Systems Engineering Bachelor of Science 128 units · Industrial and Systems Engineering

  4. Update to industrial drivers in the AEO2015 as a result of new input-output data

    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'26,282.1 26,672.1MonthFeet) Year Jan Feb Mar AprUpdate

  5. Uranium industry annual 1995

    SciTech Connect (OSTI)

    NONE

    1996-05-01T23:59:59.000Z

    The Uranium Industry Annual 1995 (UIA 1995) provides current statistical data on the U.S. uranium industry`s activities relating to uranium raw materials and uranium marketing. The UIA 1995 is prepared for use by the Congress, Federal and State agencies, the uranium and nuclear electric utility industries, and the public. It contains data for the period 1986 through 2005 as collected on the Form EIA-858, ``Uranium Industry Annual Survey``. Data collected on the ``Uranium Industry Annual Survey`` provide a comprehensive statistical characterization of the industry`s plans and commitments for the near-term future. Where aggregate data are presented in the UIA 1995, care has been taken to protect the confidentiality of company-specific information while still conveying accurate and complete statistical data. Data on uranium raw materials activities for 1986 through 1995 including exploration activities and expenditures, EIA-estimated reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities for 1994 through 2005, including purchases of uranium and enrichment services, enrichment feed deliveries, uranium fuel assemblies, filled and unfilled market requirements, uranium imports and exports, and uranium inventories are shown in Chapter 2. The methodology used in the 1995 survey, including data edit and analysis, is described in Appendix A. The methodologies for estimation of resources and reserves are described in Appendix B. A list of respondents to the ``Uranium Industry Annual Survey`` is provided in Appendix C. For the reader`s convenience, metric versions of selected tables from Chapters 1 and 2 are presented in Appendix D along with the standard conversion factors used. A glossary of technical terms is at the end of the report. 14 figs., 56 tabs.

  6. Strategic Rate Design: The Role of Industrial Tariffs

    E-Print Network [OSTI]

    Rosenblum, J. I.; House, R.

    STRA TEGIC RA TE DESIGN: THE ROLE OF INDUSTRIAL TARIFFS Jeffrey 1. Rosenblum Rate Design Section Public Utility Commission of Texas Austin, Texas ABSTRACT Strategic rate design refers to the use of deliberate pricing strategies... occurred in cogeneration capacity in Texas. The utilities use their rate tariffs strategically to influence the growth of self-generation. This paper will discuss several aspects of strategic rate design to influence industrial energy sales (measured...

  7. Industrial process surveillance system

    DOE Patents [OSTI]

    Gross, K.C.; Wegerich, S.W.; Singer, R.M.; Mott, J.E.

    1998-06-09T23:59:59.000Z

    A system and method are disclosed for monitoring an industrial process and/or industrial data source. The system includes generating time varying data from industrial data sources, processing the data to obtain time correlation of the data, determining the range of data, determining learned states of normal operation and using these states to generate expected values, comparing the expected values to current actual values to identify a current state of the process closest to a learned, normal state; generating a set of modeled data, and processing the modeled data to identify a data pattern and generating an alarm upon detecting a deviation from normalcy. 96 figs.

  8. Understanding the Growth of the Cellulosic Ethanol Industry

    SciTech Connect (OSTI)

    Sandor, D.; Wallace, R.; Peterson, S.

    2008-04-01T23:59:59.000Z

    This report identifies, outlines, and documents a set of plausible scenarios for producing significant quantities of lignocellulosic ethanol in 2017. These scenarios can provide guidance for setting government policy and targeting government investment to the areas with greatest potential impact.

  9. 22nd NREL Industry Growth Forum Denver, Colorado

    E-Print Network [OSTI]

    Solar Coolerado Ecovative Design Ener-G-Rotors Evolutionary Genomics Exro Technologies Green Pacific

  10. 22nd NREL Industry Growth Forum November 2009

    E-Print Network [OSTI]

    Time Ex-Situ process CONSTRAINTS - No Heat - Room Temp - Proven c-Si - Dist. Micro Mfg Plants - No CVD TEMPERATURE nc-Si SOLAR PV PRICED BELOW GRID POWER AND SURFACE FUNCTIONALIZED GROUP IVA NANOPARTICLE MATERIALS - Monolithic - Micro Mfg Plants Process - Low cycle time - Air Atmosphere - No sintering & CVD - Plant Ramp

  11. NREL: News Feature - New Initiatives Debut at Industry Growth...

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

    chances of becoming commercially successful. Photo by Dennis Schroeder The clean energy revolution is now, and the Energy Department is stepping up its commitment to help...

  12. Sources of productivity growth in the American coal industry

    E-Print Network [OSTI]

    Ellerman, Thomas M.

    1998-01-01T23:59:59.000Z

    This paper develops new techniques to assess the expanse of the geographic market under varying supply and demand conditions and applies these techniques to the current wholesale electricity market in the western United ...

  13. New Model Demonstrates Offshore Wind Industry's Job Growth Potential...

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

    has developed a tool to estimate jobs and other economic impacts associated with offshore wind development in the United States. The modeling tool, which illustrates the potential...

  14. New Model Demonstrates Offshore Wind Industry's Job Growth Potential |

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2:Introduction toManagement ofConverDynNet-Zero Campus atEnergy

  15. Solar Trackers Market - Global Industry Analysis, Size, Share, Growth,

    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-f < RAPID‎ |RippeyInformationSodaAtlassource HistoryPowerTrends and

  16. New Model Demonstrates Offshore Wind Industry's Job Growth Potential |

    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 2015of 2005 attheMohammed Khan -DepartmentDepartment

  17. The US Geothermal Industry: Three Decades of Growth | 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-f <MaintainedInformation 2EnergyCityGreenElectricity

  18. Fail safe controllable output improved version of the Electromechanical battery

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01T23:59:59.000Z

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition.

  19. Fail safe controllable output improved version of the electromechanical battery

    DOE Patents [OSTI]

    Post, R.F.

    1999-01-19T23:59:59.000Z

    Mechanical means are provided to control the voltages induced in the windings of a generator/motor. In one embodiment, a lever is used to withdraw or insert the entire stator windings from the cavity where the rotating field exists. In another embodiment, voltage control and/or switching off of the output is achievable with a variable-coupling generator/motor. A stator is made up of two concentric layers of windings, with a larger number of turns on the inner layer of windings than the outer layer of windings. The windings are to be connected in series electrically, that is, their voltages add vectorially. The mechanical arrangement is such that one or both of the windings can be rotated with respect to the other winding about their common central axis. Another improved design for the stator assembly of electromechanical batteries provides knife switch contacts that are in electrical contact with the stator windings. The operation of this embodiment depends on the fact that an abnormally large torque will be exerted on the stator structure during any short-circuit condition. 4 figs.

  20. SARAH 3.2: Dirac Gauginos, UFO output, and more

    E-Print Network [OSTI]

    Florian Staub

    2013-02-12T23:59:59.000Z

    SARAH is a Mathematica package optimized for the fast, efficient and precise study of supersymmetric models beyond the MSSM: a new model can be defined in a short form and all vertices are derived. This allows SARAH to create model files for FeynArts/FormCalc, CalcHep/CompHep and WHIZARD/OMEGA. The newest version of SARAH now provides the possibility to create model files in the UFO format which is supported by MadGraph 5, MadAnalysis, GoSam, and soon by Herwig++. Furthermore, SARAH also calculates the mass matrices, RGEs and one-loop corrections to the mass spectrum. This information is used to write source code for SPheno in order to create a precision spectrum generator for the given model. This spectrum-generator-generator functionality as well as the output of WHIZARD and CalcHep model files have seen further improvement in this version. Also models including Dirac Gauginos are supported with the new version of SARAH, and additional checks for the consistency of model implementations have been created.

  1. Methodological and Practical Considerations for DevelopingMultiproject Baselines for Electric Power and Cement Industry Projects inCentral America

    SciTech Connect (OSTI)

    Murtishaw, Scott; Sathaye, Jayant; Galitsky, Christina; Dorion,Kristel

    2004-09-02T23:59:59.000Z

    The Lawrence Berkeley National Laboratory (Berkeley Lab) andthe Center for Sustainable Development in the Americas (CSDA) conductedtechnical studies and organized two training workshops to developcapacity in Central America for the evaluation of climate changeprojects. This paper describes the results of two baseline case studiesconducted for these workshops, one for the power sector and one for thecement industry, that were devised to illustrate certain approaches tobaseline setting. Multiproject baseline emission rates (BERs) for themain Guatemalan electricity grid were calculated from 2001 data. Inrecent years, the Guatemalan power sector has experienced rapid growth;thus, a sufficient number of new plants have been built to estimateviable BERs. We found that BERs for baseload plants offsetting additionalbaseload capacity ranged from 0.702 kgCO2/kWh (using a weighted averagestringency) to 0.507 kgCO2/kWh (using a 10th percentile stringency),while the baseline for plants offsetting load-followingcapacity is lowerat 0.567 kgCO2/kWh. For power displaced from existing load-followingplants, the rate is higher, 0.735 kgCO2/kWh, as a result of the age ofsome plants used for meeting peak loads and the infrequency of their use.The approved consolidated methodology for the Clean Development Mechanismyields a single rate of 0.753 kgCO2/kWh. Due to the relatively smallnumber of cement plants in the region and the regional nature of thecement market, all of Central America was chosen as the geographicboundary for setting cement industry BERs. Unfortunately, actualoperations and output data were unobtainable for most of the plants inthe region, and many data were estimated. Cement industry BERs rangedfrom 205 kgCO2 to 225 kgCO2 per metric ton of cement.

  2. Industrial Decision Making

    E-Print Network [OSTI]

    Elliott, R. N.; McKinney, V.; Shipley, A.

    2008-01-01T23:59:59.000Z

    Domestic industrial investment has declined due to unfavorable energy prices, and external markets. Investment behavior has changed over the past few years, and will continue due to high labor costs, tight markets and an unstable U.S. economy...

  3. AI Industrial Engineering 

    E-Print Network [OSTI]

    Unknown

    2011-08-17T23:59:59.000Z

    This paper describes the California Energy Commission’s (Commission) energy policies and programs that save energy and money for California’s manufacturing and food processing industries to help retain businesses in-state and reduce greenhouse gases...

  4. Uranium Industry Annual, 1992

    SciTech Connect (OSTI)

    Not Available

    1993-10-28T23:59:59.000Z

    The Uranium Industry Annual provides current statistical data on the US uranium industry for the Congress, Federal and State agencies, the uranium and electric utility industries, and the public. The feature article, ``Decommissioning of US Conventional Uranium Production Centers,`` is included. Data on uranium raw materials activities including exploration activities and expenditures, resources and reserves, mine production of uranium, production of uranium concentrate, and industry employment are presented in Chapter 1. Data on uranium marketing activities including domestic uranium purchases, commitments by utilities, procurement arrangements, uranium imports under purchase contracts and exports, deliveries to enrichment suppliers, inventories, secondary market activities, utility market requirements, and uranium for sale by domestic suppliers are presented in Chapter 2.

  5. Industrial energy use indices 

    E-Print Network [OSTI]

    Hanegan, Andrew Aaron

    2008-10-10T23:59:59.000Z

    Energy use index (EUI) is an important measure of energy use which normalizes energy use by dividing by building area. Energy use indices and associated coefficients of variation are computed for major industry categories ...

  6. Animal Industries Building 

    E-Print Network [OSTI]

    Unknown

    2011-08-17T23:59:59.000Z

    Plant managers around the world are interested in improving the energy efficiency of their facilities while both growing and modernizing their manufacturing capabilities. Emerging industrial technologies, both at the ...

  7. Animal Industries Building 

    E-Print Network [OSTI]

    Unknown

    2011-08-17T23:59:59.000Z

    Industrial steam users recognize the need to reduce system cost in order to remain internationally competitive. Steam systems are a key utility that influence cost significantly, and represent a high value opportunity ...

  8. Utility and Industrial Partnerships

    E-Print Network [OSTI]

    Sashihara, T. F.

    In the past decade, many external forces have shocked both utilities and their large industrial customers into seeking more effective ways of coping and surviving. One such way is to develop mutually beneficial partnerships optimizing the use...

  9. Engineering Industrial & Systems

    E-Print Network [OSTI]

    Berdichevsky, Victor

    powerful tool sets used in industry today. -Brent Gillett, BSIE 2007 Advanced Planning Engineer at BMW I the skills necessary to be successful in today's global environment. EDGE exposes and trains engineering

  10. Clean Energy Manufacturing Initiative Industrial Efficiency and...

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

    Industrial Efficiency and Energy Productivity Video Clean Energy Manufacturing Initiative Industrial Efficiency and Energy Productivity Video Addthis Description Industrial...

  11. Industrial Development Fund (North Carolina)

    Broader source: Energy.gov [DOE]

    The Industrial Development Fund provides financing grants and loans through designated municipalities and counties to assist in infrastructure improvements for targeted industrial projects. The...

  12. Industrial Energy Efficiency: Designing Effective State Programs...

    Energy Savers [EERE]

    Industrial Energy Efficiency: Designing Effective State Programs for the Industrial Sector Industrial Energy Efficiency: Designing Effective State Programs for the Industrial...

  13. Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst

    E-Print Network [OSTI]

    Mountziaris, T. J.

    9/13/2007 Mechanical and Industrial Engineering Industry Advisory Board University of Massachusetts Amherst Department of Mechanical and Industrial Engineering About the Mechanical and Industrial Engineering Industry Advisory Board The purpose of the Mechanical and Industrial Engineering Industry Advisory

  14. Data error detection and device controller failure detection in an input/output system

    SciTech Connect (OSTI)

    Katzman, J.A.; Bartlett, J.F.; Bixler, R.M.; Davidow, W.H.; Despotakis, J.A.; Graziano, P.J.; Green, M.D.; Greig, D.A.; Hayashi, S.J.; Mackie, D.R.

    1987-06-09T23:59:59.000Z

    This patent describes an input/output system for a multiprocessor system of the kind in which separate processor modules are interconnected for parallel processing, each of the processor modules having a central processing unit and a memory, at least some of the processor modules having an input/output channel, the input/output system comprising, at least one device controller for controlling the transfer of data between multiple different ones of the processor modules and a peripheral device.

  15. Societal and technical issues in the industrial development of Saudi Arabia and Egypt

    E-Print Network [OSTI]

    Kundukulam, Vibin A. (Vibin Anto)

    2011-01-01T23:59:59.000Z

    Sustained industrial development in developing nations has been an impetus for economic growth and technological advancements for the past several decades, in addition to being a major contributor to poverty reduction. ...

  16. INTRODUCTION The power output of insect flight muscles is proportional to muscle

    E-Print Network [OSTI]

    Nieh, James

    #12;2239 INTRODUCTION The power output of insect flight muscles is proportional to muscle polaris) to forage in suboptimal thermal conditions (Heinrich, 1993). Recently, bumble bee (Bombus

  17. Fault-Tolerant Resynthesis with Dual-Output LUTs Ju-Yueh Lee1

    E-Print Network [OSTI]

    He, Lei

    utilization rate in real designs motivates us to utilize non-occupied SRAM bits of dual-output LUTs for fault

  18. Glass Needs for a Growing Photovoltaics Industry Keith Burrows1

    E-Print Network [OSTI]

    1 Glass Needs for a Growing Photovoltaics Industry Keith Burrows1 and Vasilis Fthenakis1,2* 1 Center for Life Cycle Analysis, Columbia University, New York, NY 2 Photovoltaics Environmental Research Center, Brookhaven National Lab, Upton, NY Abstract With the projected growth in photovoltaics

  19. "Greening" Industrial Steam Generation via On-demand Steam Systems

    E-Print Network [OSTI]

    Smith, J. P.

    2010-01-01T23:59:59.000Z

    impact have not kept pace with other industrialized nations. The U.S. is confronted with looming tipping points with respect to energy supply and GHG emissions that represent very tangible constraints on future economic growth and quality of life. A...

  20. Policies on Japan's Space Industry

    E-Print Network [OSTI]

    with space emerging countries 3. Step up leading-edge science and technology as an innovation engine (1Policies on Japan's Space Industry Shuichi Kaneko Director, Space Industry Office Manufacturing Industries Bureau Ministry of Economy, Trade and Industry (METI) #12;Japan's Space Policy is based

  1. Florida Growth Fund (Florida)

    Broader source: Energy.gov [DOE]

    The Florida Growth Fund can provide investments in technology and growth-related companies through co-investments with other institutional investors. The Fund awards preference to companies...

  2. Emulsified industrial oils recycling

    SciTech Connect (OSTI)

    Gabris, T.

    1982-04-01T23:59:59.000Z

    The industrial lubricant market has been analyzed with emphasis on current and/or developing recycling and re-refining technologies. This task has been performed for the United States and other industrialized countries, specifically France, West Germany, Italy and Japan. Attention has been focused at emulsion-type fluids regardless of the industrial application involved. It was found that emulsion-type fluids in the United States represent a much higher percentage of the total fluids used than in other industrialized countries. While recycling is an active matter explored by the industry, re-refining is rather a result of other issues than the mere fact that oil can be regenerated from a used industrial emulsion. To extend the longevity of an emulsion is a logical step to keep expenses down by using the emulsion as long as possible. There is, however, another important factor influencing this issue: regulations governing the disposal of such fluids. The ecological question, the respect for nature and the natural balances, is often seen now as everybody's task. Regulations forbid dumping used emulsions in the environment without prior treatment of the water phase and separation of the oil phase. This is a costly procedure, so recycling is attractive since it postpones the problem. It is questionable whether re-refining of these emulsions - as a business - could stand on its own if these emulsions did not have to be taken apart for disposal purposes. Once the emulsion is separated into a water and an oil phase, however, re-refining of the oil does become economical.

  3. ARM: ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

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

    Coulter, Richard; Widener, Kevin; Bharadwaj, Nitin; Johnson, Karen; Martin, Timothy

    ARSCL: multiple outputs from first Clothiaux algorithms on Vaisala or Belfort ceilometers, Micropulse lidar, and MMCR

  4. Industrial Assessment Center

    SciTech Connect (OSTI)

    Dr. Diane Schaub

    2007-03-05T23:59:59.000Z

    Since its inception, the University of Florida Industrial Assessment Center has successfully completed close to 400 energy assessments of small to medium manufacturing facilities in Florida, southern Georgia and southern Alabama. Through these efforts, recommendations were made that would result in savings of about $5 million per year, with an implementation rate of 20-25%. Approximately 80 engineering students have worked for the UF-IAC, at least 10 of whom went on to work in energy related fields after graduation. Additionally, through the popular course in Industrial Energy Management, many students have graduated from the University of Florida with a strong understanding and support of energy conservation methods.

  5. Solar industrial process heat

    SciTech Connect (OSTI)

    Lumsdaine, E.

    1981-04-01T23:59:59.000Z

    The aim of the assessment reported is to candidly examine the contribution that solar industrial process heat (SIPH) is realistically able to make in the near and long-term energy futures of the United States. The performance history of government and privately funded SIPH demonstration programs, 15 of which are briefly summarized, and the present status of SIPH technology are discussed. The technical and performance characteristics of solar industrial process heat plants and equipment are reviewed, as well as evaluating how the operating experience of over a dozen SIPH demonstration projects is influencing institutional acceptance and economoc projections. Implications for domestic energy policy and international implications are briefly discussed. (LEW)

  6. Industrial Equipment Impacts Infrastructure

    Energy Savers [EERE]

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov You are being directed offOCHCO2: FinalOffers3.pdf0-45.pdf05 IdentifiedPathways to SustainedIndustrial AssessmentIndustrial

  7. Continuing consolidation in the coal industry

    SciTech Connect (OSTI)

    Gaalaas, T. [Pace Global Energy Services LLC (United States)

    2006-08-15T23:59:59.000Z

    Extensive consolidation has occurred in the coal industry over the past decade. The greatest degree of consolidation has occurred in Northern Appalachia, the Illinois Basin, and the Wyoming portion of the Powder River Basin (PRB), which are the coal supply regions where most observers expect the greatest growth in coal production over the next decade. In addition to reducing the number of alternative suppliers, high level of concentration also tend to result in higher prices, more volatile spot markets, and lower levels of reliability. Therefore, coal-fired generators purchasing in these regions need to respond proactively and strategically to these market trends. 2 figs.

  8. Ontario's Industrial Energy Services Program

    E-Print Network [OSTI]

    Ploeger, L. K.

    .8%! ! ! ! OTHER 8.4%! l4.9%! l4.0%! ! ! ! TOTAL 100.0%! 100.0%! 100.0%! ! PROGRAM STRATEGY Ontario's Industrial Energy Services Program was designed to: lead industrial energy consumers to the realization that increased energy efficiency generates... ONTARIO'S INDUSTRIAL ENERGY SERVICES PROGRAM LINDA K. PLOEGER, GENERAL MANAGER, INDUSTRY PROGRAMS ONTARIO MINISTRY OF ENERGY TORONTO, ONTARIO, ABSTRACT The Ontario Ministry of Energy began offering its new Industrial Energy Services Program...

  9. Consumption, Social Capital, and the 'Industrious Revolution' in Early Modern Germany

    E-Print Network [OSTI]

    Ogilvie, Sheilagh

    Consumption, Social Capital, and the “Industrious Revolution” in Early Modern Germany SHEILAGH OGILVIE Faculty of Economics, University of Cambridge Acknowledgements: I am grateful to Marco Belfanti, André... ; labour; discrimination; gender; Germany 1 Expanding market consumption is widely ascribed a key role in European economic growth before industrialization. A “Consumer Revolution” between 1650 and 1800 is thought to have seen the middle classes...

  10. Incorporating Undesirable Outputs into Malmquist TFP Index: Environmental Performance Growth of Chinese Coal-Fired Power Plants

    E-Print Network [OSTI]

    Yang, Hongliang; Pollitt, Michael G.

    potential remains with regards to the efficiency improvement and emissions control in Chinese coal-fired power plants....

  11. Estimating Solar PV Output Using Modern Space/Time Geostatistics (Presentation)

    SciTech Connect (OSTI)

    Lee, S. J.; George, R.; Bush, B.

    2009-04-29T23:59:59.000Z

    This presentation describes a project that uses mapping techniques to predict solar output at subhourly resolution at any spatial point, develop a methodology that is applicable to natural resources in general, and demonstrate capability of geostatistical techniques to predict the output of a potential solar plant.

  12. Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB

    E-Print Network [OSTI]

    Qiu, Robert Caiming

    Experimental Results on Multiple-Input Single-Output (MISO) Time Reversal for UWB Systems with multiple-input single- output (MISO) antennas over ultra-wideband (UWB) channels. In particular, temporal and spatial focusing as well as array gain are studied based on a (4 × 1) MISO scheme in an office environment

  13. Mechanism of low-frequency fluctuations of the output power of gas-discharge lasers

    SciTech Connect (OSTI)

    Melekhin, G.V.; Stepanov, V.A.; Chirkin, M.V.

    1984-08-01T23:59:59.000Z

    Fluctuations of the output power of gas-discharge lasers arising on account of the random character of the processes of ionization and electron-impact excitation of atomic levels are described. Low-frequency fluctuations of the output power of a cataphoretic He--Cd laser are examined as an example.

  14. Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu

    E-Print Network [OSTI]

    Lavaei, Javad

    Optimization on Solar Panels: Finding the Optimal Output Brian Y. Lu January 1, 2013 1 Introduction of solar panel: Routing the configuration between solar cells with a switch matrix. However, their result models and control policies for the optimal output of solar panels. The smallest unit on a solar panel

  15. Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization and Integrated Control

    E-Print Network [OSTI]

    Potkonjak, Miodrag

    1 Optimizing the Output of a Human-Powered Energy Harvesting System with Miniaturization mechanical energy from human foot-strikes and explore its configuration and control towards optimized energy output. Dielectric Elastomers (DEs) are high-energy density, soft, rubber-like material

  16. Non-Additivity of Minimum Output p-$\\mathbf{R\\acute{e}nyi}$ Entropy

    E-Print Network [OSTI]

    Nengkun Yu; Mingsheng Ying

    2012-12-24T23:59:59.000Z

    Hastings disproved additivity conjecture for minimum output entropy by using random unitary channels. In this note, we employ his approach to show that minimum output $p-$R\\'{e}nyi entropy is non-additive for $p\\in(0,p_0)\\cup(1-p_0,1)$ where $p_0\\approx 0.2855$.

  17. Generating Isolated Outputs in a Multilevel Modular Capacitor Clamped DC-DC Converter

    E-Print Network [OSTI]

    Tolbert, Leon M.

    balance between the fuel cell and any energy storage inside the vehicle, and provides continuous power) for Hybrid Electric and Fuel Cell Vehicles Faisal H. Khan1 , Leon M. Tolbert2 1 Electric Power Research transformers to generate isolated ac outputs. These isolated outputs can be rectified and filtered to obtain

  18. Selection of Output Function in Nonlinear Feedback Linearizing Excitation Control for Power Systems

    E-Print Network [OSTI]

    Pota, Himanshu Roy

    Selection of Output Function in Nonlinear Feedback Linearizing Excitation Control for Power Systems for power systems. Depending on the relative degree of the system which depends on the output function Power systems are large, complex, and highly nonlinear interconnected dynamic systems. The power demand

  19. Statistical post processing of model output from the air quality model LOTOS-EUROS

    E-Print Network [OSTI]

    Stoffelen, Ad

    are calculated with R, a language for statistical computing. The routine STEP in R is used to remove variablesStatistical post processing of model output from the air quality model LOTOS-EUROS Annemiek Pijnappel De Bilt, 2011 | Stageverslag #12;#12;Statistical post processing of model output from the air

  20. Modeling of passive microwave responses in convective situations using output from mesoscale models

    E-Print Network [OSTI]

    Pardo-Carrión, Juan R.

    Modeling of passive microwave responses in convective situations using output from mesoscale models using output from nonhydrostatic mesoscale atmospheric model, Meso-NH, simulations. The radiative for a systematic evaluation of the mesoscale cloud models. An overall good agreement is obtained for both

  1. Fine-grained Photovoltaic Output Prediction using a Bayesian Ensemble Prithwish Chakraborty1,2

    E-Print Network [OSTI]

    Ramakrishnan, Naren

    generation is increasingly reliant on renewable power sources, e.g., solar (pho- tovoltaic or PV) and wind Increasingly, local and distributed power generation e.g., through solar (photovoltaic or PV), wind, fuel cells and intermittent in their energy output, which makes integration with the power grid challenging. PV output

  2. Quality assurance of solar thermal systems with the ISFH-Input/Output-Procedure

    E-Print Network [OSTI]

    Quality assurance of solar thermal systems with the ISFH- Input/Output-Procedure Peter Paerisch different solar systems. The simulation model was validated with measured data. The deviation between meas * Tel. +49 (0)5151-999503, Fax: +49 (0)5151-999500, Email: paerisch@isfh.de Abstract Input/Output

  3. Industry Partners Panel

    Broader source: Energy.gov [DOE]

    Industry Panel presenters include: Michael G. Andrew, Director - Academic and Technical Programs, Advanced Products and Materials, Johnson Controls Power Solutions Michael A. Fetcenko, Vice President and Managing Director, BASF Battery Materials – Ovonic, BASF Corporation Adam Kahn, Founder and CEO, AKHAN Technologies, Inc. Stephen E. Zimmer, Executive Director, United States Council for Automotive Research (USCAR)

  4. Industrial Energy Use Indices

    E-Print Network [OSTI]

    Hanegan, A.; Heffington, W. M.

    2007-01-01T23:59:59.000Z

    of variations for all industry types in warm versus cold regions of the U.S. generally is greater than unity. Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used...

  5. INTERMOUNTAIN INDUSTRIAL ASSESSMENT CENTER

    SciTech Connect (OSTI)

    MELINDA KRAHENBUHL

    2010-05-28T23:59:59.000Z

    The U. S. Department of Energy’s Intermountain Industrial Assessment Center (IIAC) at the University of Utah has been providing eligible small- and medium-sized manufacturers with no-cost plant assessments since 2001, offering cost-effective recommendations for improvements in the areas of energy efficiency, pollution prevention, and productivity improvement.

  6. Predicting the Energy Output of Wind Farms Based on Weather Data: Important Variables and their Correlation

    E-Print Network [OSTI]

    Vladislavleva, Katya; Neumann, Frank; Wagner, Markus

    2011-01-01T23:59:59.000Z

    Wind energy plays an increasing role in the supply of energy world-wide. The energy output of a wind farm is highly dependent on the weather condition present at the wind farm. If the output can be predicted more accurately, energy suppliers can coordinate the collaborative production of different energy sources more efficiently to avoid costly overproductions. With this paper, we take a computer science perspective on energy prediction based on weather data and analyze the important parameters as well as their correlation on the energy output. To deal with the interaction of the different parameters we use symbolic regression based on the genetic programming tool DataModeler. Our studies are carried out on publicly available weather and energy data for a wind farm in Australia. We reveal the correlation of the different variables for the energy output. The model obtained for energy prediction gives a very reliable prediction of the energy output for newly given weather data.

  7. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, Richard F. (Walnut Creek, CA)

    1999-01-01T23:59:59.000Z

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range.

  8. Method for leveling the power output of an electromechanical battery as a function of speed

    DOE Patents [OSTI]

    Post, R.F.

    1999-03-16T23:59:59.000Z

    The invention is a method of leveling the power output of an electromechanical battery during its discharge, while at the same time maximizing its power output into a given load. The method employs the concept of series resonance, employing a capacitor the parameters of which are chosen optimally to achieve the desired near-flatness of power output over any chosen charged-discharged speed ratio. Capacitors are inserted in series with each phase of the windings to introduce capacitative reactances that act to compensate the inductive reactance of these windings. This compensating effect both increases the power that can be drawn from the generator before inductive voltage drops in the windings become dominant and acts to flatten the power output over a chosen speed range. The values of the capacitors are chosen so as to optimally flatten the output of the generator over the chosen speed range. 3 figs.

  9. Model documentation report: Industrial sector demand module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1997-01-01T23:59:59.000Z

    This report documents the objectives, analytical approach, and development of the National Energy Modeling System (NEMS) Industrial Demand Model. The report catalogues and describes model assumptions, computational methodology, parameter estimation techniques, and model source code. This document serves three purposes. First, it is a reference document providing a detailed description of the NEMS Industrial Model for model analysts, users, and the public. Second, this report meets the legal requirement of the Energy Information Administration (EIA) to provide adequate documentation in support of its models. Third, it facilitates continuity in model development by providing documentation from which energy analysts can undertake model enhancements, data updates, and parameter refinements as future projects. The NEMS Industrial Demand Model is a dynamic accounting model, bringing together the disparate industries and uses of energy in those industries, and putting them together in an understandable and cohesive framework. The Industrial Model generates mid-term (up to the year 2015) forecasts of industrial sector energy demand as a component of the NEMS integrated forecasting system. From the NEMS system, the Industrial Model receives fuel prices, employment data, and the value of industrial output. Based on the values of these variables, the Industrial Model passes back to the NEMS system estimates of consumption by fuel types.

  10. Modular industrial solar retrofit project (MISR)

    SciTech Connect (OSTI)

    Alvis, R.L.

    1980-01-01T23:59:59.000Z

    The intent of this paper is to describe a major Department of Energy (DOE) thrust to bring line-focus solar thermal technology to commercial readiness. This effort is referred to as the MISR Project. The project is based upon the premise that thermal energy is the basic solar thermal system output and that low-temperature, fossil fuel applications are technically the first that should be retrofitted. Experience has shown that modularity in system design and construction offers potential for reducing engineering design costs, reduces manufacturing costs, reduces installation time and expense, and improves system operational reliability. The modular design effort will be sponsored by Sandia National Laboratories with industry doing the final designs. The operational credibility of the systems will be established by allowing selected industrial thermal energy users to purchase MISR systems from suppliers and operate them for two years. Industries will be solicited by DOE/Albuquerque Operations Office to conduct these experiments on a cost sharing basis. The MISR system allowed in the experiments will have been previously qualified for the application. The project is divided into three development phases which represent three design and experiment cycles. The first cycle will use commercially available trough-type solar collectors and will incorporate 5 to 10 experiments of up to 5000 m/sup 2/ of collectors each. The project effort began in March 1980, and the first cycle is to be completed in 1985. Subsequent cycles will begin at 3-year intervals. The project is success oriented, and if the first cycle reaches commercial readiness, the project will be terminated. If not, a second, and possibly a third, development cycle will be conducted.

  11. Transforming the Oil Industry into the Energy Industry

    E-Print Network [OSTI]

    Sperling, Daniel; Yeh, Sonia

    2009-01-01T23:59:59.000Z

    Transforming the Oil Industry into the Energy Industry BYculprit. It consumes half the oil used in the world andconsuming two thirds of the oil and causing about one third

  12. Innovative New Industrial Technologies: An Industry/DOE Joint Endeavor

    E-Print Network [OSTI]

    Gross, T. J.

    The Department of Energy’s Office of Industrial Programs supports research and development leading to improved energy efficiency and greater overall productivity in the industrial sector. Its basic strategy is a program of cost-shared R...

  13. INDUSTRIAL ASSOCIATESHIP SCHEME Centre for Industrial Consultancy and Sponsored Research

    E-Print Network [OSTI]

    Bhashyam, Srikrishna

    this scheme: #12;(i) Energy Energy Storage (1990) Strategies for Energy Saving in Industry (1993) Pollution Control Equipment (2001) Acoustics and Noise Control for Industry (2005) Urban Air Quality

  14. Energy use and CO2 emissions of China’s industrial sector from a global perspective

    SciTech Connect (OSTI)

    Zhou, Sheng; Kyle, G. Page; Yu, Sha; Clarke, Leon E.; Eom, Jiyong; Luckow, Patrick W.; Chaturvedi, Vaibhav; Zhang, Xiliang; Edmonds, James A.

    2013-07-10T23:59:59.000Z

    The industrial sector has accounted for more than 50% of China’s final energy consumption in the past 30 years. Understanding the future emissions and emissions mitigation opportunities depends on proper characterization of the present-day industrial energy use, as well as industrial demand drivers and technological opportunities in the future. Traditionally, however, integrated assessment research has handled the industrial sector of China in a highly aggregate form. In this study, we develop a technologically detailed, service-oriented representation of 11 industrial subsectors in China, and analyze a suite of scenarios of future industrial demand growth. We find that, due to anticipated saturation of China’s per-capita demands of basic industrial goods, industrial energy demand and CO2 emissions approach a plateau between 2030 and 2040, then decrease gradually. Still, without emissions mitigation policies, the industrial sector remains heavily reliant on coal, and therefore emissions-intensive. With carbon prices, we observe some degree of industrial sector electrification, deployment of CCS at large industrial point sources of CO2 emissions at low carbon prices, an increase in the share of CHP systems at industrial facilities. These technological responses amount to reductions of industrial emissions (including indirect emission from electricity) are of 24% in 2050 and 66% in 2095.

  15. INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering

    E-Print Network [OSTI]

    Rohs, Remo

    78 INDUSTRIAL & SYSTEMS Industrial and Systems engineers use engineering and business principles of physical and human resources. These engineers are involved in developing manufacturing systems to help companies compete in todays global marketplace. The Industrial and Systems engineers task is to take limited

  16. Finding the quantum thermoelectric with maximal efficiency and minimal entropy production at given power output

    E-Print Network [OSTI]

    Robert S. Whitney

    2015-03-16T23:59:59.000Z

    We investigate the nonlinear scattering theory for quantum systems with strong Seebeck and Peltier effects, and consider their use as heat-engines and refrigerators with finite power outputs. This article gives detailed derivations of the results summarized in Phys. Rev. Lett. 112, 130601 (2014). It shows how to use the scattering theory to find (i) the quantum thermoelectric with maximum possible power output, and (ii) the quantum thermoelectric with maximum efficiency at given power output. The latter corresponds to a minimal entropy production at that power output. These quantities are of quantum origin since they depend on system size over electronic wavelength, and so have no analogue in classical thermodynamics. The maximal efficiency coincides with Carnot efficiency at zero power output, but decreases with increasing power output. This gives a fundamental lower bound on entropy production, which means that reversibility (in the thermodynamic sense) is impossible for finite power output. The suppression of efficiency by (nonlinear) phonon and photon effects is addressed in detail; when these effects are strong, maximum efficiency coincides with maximum power. Finally, we show in particular limits (typically without magnetic fields) that relaxation within the quantum system does not allow the system to exceed the bounds derived for relaxation-free systems, however, a general proof of this remains elusive.

  17. Coal industry annual 1997

    SciTech Connect (OSTI)

    NONE

    1998-12-01T23:59:59.000Z

    Coal Industry Annual 1997 provides comprehensive information about US coal production, number of mines, prices, productivity, employment, productive capacity, and recoverable reserves. US Coal production for 1997 and previous years is based on the annual survey EIA-7A, Coal Production Report. This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report includes a national total coal consumption for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. 14 figs., 145 tabs.

  18. Coal industry annual 1993

    SciTech Connect (OSTI)

    Not Available

    1994-12-06T23:59:59.000Z

    Coal Industry Annual 1993 replaces the publication Coal Production (DOE/FIA-0125). This report presents additional tables and expanded versions of tables previously presented in Coal Production, including production, number of mines, Productivity, employment, productive capacity, and recoverable reserves. This report also presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for a wide audience including the Congress, Federal and State agencies, the coal industry, and the general public. In addition, Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility Power Producers who are not in the manufacturing, agriculture, mining, construction, or commercial sectors. This consumption is estimated to be 5 million short tons in 1993.

  19. BTU Accounting for Industry

    E-Print Network [OSTI]

    Redd, R. O.

    1979-01-01T23:59:59.000Z

    , salesmen cars, over the highway trucks, facilities startup, waste used as fuel and fuels received for storage. This is a first step in the DOE's effort to establish usage guidelines for large industrial users and, we note, it requires BTU usage data...-generated electricity, heating, ventilating, air conditioning, in-plant transportation, ore hauling, raw material storage and finished product warehousing. Categories which are excluded are corporate and divisional offices, basic research, distribution centers...

  20. Industrial Waste Heat Recovery

    E-Print Network [OSTI]

    Ward, M. E.; Solomon, N. G.; Tabb, E. S.

    1980-01-01T23:59:59.000Z

    INDUSTRIAL WASTE HEAT RECOVREY M. E. Ward and N. G. Solomon E. S. Tabb Solar Turbines International and Gas Research Institute San Diego, California Chicago, Illinois ABSTRACT i I One hundred fifty reports were reviewed along with interviews... tests, promising low temperature heat exchanger tube alloys and coated surfaces were identified. 1INTROUCTION of advanced technology heat recovery techniques 1_ Recovering waste heat from the flue gases of the pr~ary objective. Specific objectives...

  1. Industrial Energy Efficiency Assessments

    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't YourTransport(Fact Sheet),EnergyImprovementINDIAN COUNTRYBarriers to Industrial

  2. The impact of government policies on industrial evolution : the case of China's automotive industry

    E-Print Network [OSTI]

    Luo, Jianxi

    2006-01-01T23:59:59.000Z

    Governmental industrial policies have great influence on industrial performances and development trajectories. The infant industry theory has been the dominating theoretical foundation of the industrial policies in developing ...

  3. Industrial Heat Pump Design Options

    E-Print Network [OSTI]

    Gilbert, J. S.

    There are numerous industries that can incorporate heat pumps into their operations to save energy costs and payoff the investment in well under two years. Many of these industries can cut energy costs associated with evaporation by over 75...

  4. Industrial Heat Pump Design Options 

    E-Print Network [OSTI]

    Gilbert, J. S.

    1985-01-01T23:59:59.000Z

    There are numerous industries that can incorporate heat pumps into their operations to save energy costs and payoff the investment in well under two years. Many of these industries can cut energy costs associated with evaporation by over 75...

  5. A National Resource for Industry

    E-Print Network [OSTI]

    alloys, and metal matrix composite products carbon fibe's manufacturing industries. These industries call upon ORNL's expertise in materials synthesis, characterization-efficient manufacturing processes and materials targeting products of the future. The Department of Energy's first

  6. Electrotechnologies and Industrial Pollution Control

    E-Print Network [OSTI]

    Schmidt, P. S.

    The role of electrotechnologies in the control of emissions and effluents from industrial processes is discussed. Matrices are presented identifying those electrotechnologies which impact pollution in various industries. Specific examples...

  7. Deaerators in Industrial Steam Systems

    SciTech Connect (OSTI)

    Not Available

    2006-01-01T23:59:59.000Z

    This revised ITP tip sheet on deaerators in industrial steam systems provides how-to advice for improving industrial steam systems using low-cost, proven practices and technologies.

  8. Modeling the semiconductor industry dynamics

    E-Print Network [OSTI]

    Wu, Kailiang

    2008-01-01T23:59:59.000Z

    The semiconductor industry is an exciting and challenging industry. Strong demand at the application end, plus the high capital intensity and rapid technological innovation in manufacturing, makes it difficult to manage ...

  9. Texas Industries of the Future

    E-Print Network [OSTI]

    Ferland, K.

    The purpose of the Texas Industries of the Future program is to facilitate the development, demonstration and adoption of advanced technologies and adoption of best practices that reduce industrial energy usage, emissions, and associated costs...

  10. Fracking: An Industry Under Pressure

    E-Print Network [OSTI]

    Melville, Jo

    2013-01-01T23:59:59.000Z

    is able to squeeze out of oil and gas wells, it is a hugehugely to the local oil and gas industries, household incomeMore importantly, the oil and gas industry -- mostly through

  11. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian (Glenmont, NY); Bievenue, Thomas J. (Delmar, NY); Burdett, John H. (Charlton, NY); Gallagher, Brian W. (Guilderland, NY); Shakshober, Stuart M. (Hudson, NY); Chen, Zewu (Schenectady, NY); Moore, Michael D. (Alplaus, NY)

    2008-06-08T23:59:59.000Z

    An x-ray source assembly and method of operation are provided having enhanced output stability. The assembly includes an anode having a source spot upon which electrons impinge and a control system for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  12. X-ray source assembly having enhanced output stability, and fluid stream analysis applications thereof

    DOE Patents [OSTI]

    Radley, Ian; Bievenue, Thomas J.; Burdett Jr., John H.; Gallagher, Brian W.; Shakshober, Stuart M.; Chen, Zewu; Moore, Michael D.

    2007-04-24T23:59:59.000Z

    An x-ray source assembly (2700) and method of operation are provided having enhanced output stability. The assembly includes an anode (2125) having a source spot upon which electrons (2120) impinge and a control system (2715/2720) for controlling position of the anode source spot relative to an output structure. The control system can maintain the anode source spot location relative to the output structure (2710) notwithstanding a change in one or more operating conditions of the x-ray source assembly. One aspect of the disclosed invention is most amenable to the analysis of sulfur in petroleum-based fuels.

  13. Innovative Utility Pricing for Industry

    E-Print Network [OSTI]

    Ross, J. A.

    tariffs can re a market for power during the time when it has sult in benefits to industry, to the electric abundant capacity available. From the other rate utility, and to other ratepayers on the electric payers' perspective, there will be a continued...INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic...

  14. Study of domestic social and economic impacts of ocean thermal energy conversion (OTEC) commercial development. Volume II. Industry profiles

    SciTech Connect (OSTI)

    None

    1981-12-22T23:59:59.000Z

    Econoimc profiles of the industries most affected by the construction, deployment, and operation of Ocean Thermal Energy Conversion (OTEC) powerplants are presented. Six industries which will contribute materials and/or components to the construction of OTEC plants have been identified and are profiled here. These industries are: steel industry, concrete industry, titanium metal industry, fabricated structural metals industry, fiber glass-reinforced plastics industry, and electrical transmission cable industry. The economic profiles for these industries detail the industry's history, its financial and economic characteristics, its technological and production traits, resource constraints that might impede its operation, and its relation to OTEC. Some of the historical data collected and described in the profile include output, value of shipments, number of firms, prices, employment, imports and exports, and supply-demand forecasts. For most of the profiled industries, data from 1958 through 1980 were examined. In addition, profiles are included on the sectors of the economy which will actualy construct, deploy, and supply the OTEC platforms.

  15. Industrial Energy Audit Guidebook: Guidelines for Conducting...

    Open Energy Info (EERE)

    Industry Resource Type: Guidemanual Website: china.lbl.govsiteschina.lbl.govfilesLBNL-3991E.Industrial%20Energy Industrial Energy Audit Guidebook: Guidelines for Conducting...

  16. Local Option- Industrial Facilities and Development Bonds

    Broader source: Energy.gov [DOE]

    Under the Utah Industrial Facilities and Development Act, counties, municipalities, and state universities in Utah may issue Industrial Revenue Bonds (IRBs) or Industrial Development Bonds (IDBs)...

  17. Federal Utility Partnership Working Group Industry Commitment...

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

    Industry Commitment Federal Utility Partnership Working Group Industry Commitment Investor-owned electric utility industry members of the Edison Electric Institute pledge to assist...

  18. Design of Dual-Output Alternators With Switched-Mode Rectification

    E-Print Network [OSTI]

    Hassan, Gimba

    The push to introduce dual-voltage (42 V/14 V) automotive electrical systems necessitates power generation solutions capable of supplying power to multiple outputs. A number of approaches for implementing dual-voltage ...

  19. Limitation of the output power of cw electric-discharge CO{sub 2} lasers

    SciTech Connect (OSTI)

    Nevdakh, Vladimir V [B.I. Stepanov Institute of Physics, National Academy of Sciences of Belarus, Minsk (Belarus)

    1999-04-30T23:59:59.000Z

    The output power of a sealed-off tunable cw CO{sub 2} laser was optimised. The dependences of the small-signal gain for the 10P(20) line and of the output powers for different transmittances of the cavity on the discharge current were determined. The distributed loss coefficient and the saturation parameter were measured. The saturation parameter increased continuously with increase in the discharge current, leading to a mismatch between the output power and gain maxima. It was established that the principal factor limiting the output power of cw electric-discharge CO{sub 2} lasers is not an increase in the temperature of the active medium but the dissociation of CO{sub 2} molecules. When the latter is minimised in order to achieve the maximum laser power, low gas temperatures are not required. (lasers)

  20. Output dominance as a predictor of humor content in verbal productions

    E-Print Network [OSTI]

    Hull, Rachel Gayle

    2000-01-01T23:59:59.000Z

    -dominance-ordered feature lists generated for each of the concepts. It was hypothesized that juxtapositions judged funny would rely more often on properties with significantly different output dominance scores per concept, while those judged not funny would involve fewer...

  1. Examining the Variability of Wind Power Output in the Regulation Time Frame: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Shedd, S.; Florita, A.

    2012-08-01T23:59:59.000Z

    This work examines the distribution of changes in wind power for different time scales in the regulation time frame as well as the correlation of changes in power output for individual wind turbines in a wind plant.

  2. Motor output in a bimanual continuation-tapping task is independent of visual cues 

    E-Print Network [OSTI]

    Miller, Louisa

    2009-07-03T23:59:59.000Z

    Presented are two studies examining the role of vision on motor output in the continuation-tapping paradigm (Stevens, 1886). The role of vision is measured by comparisons of motor performance under three visual feedback conditions: freeview...

  3. Multilevel Cascade H-bridge Inverter DC Voltage Estimation Through Output Voltage Sensing

    E-Print Network [OSTI]

    Tolbert, Leon M.

    system as the inverter power supply may vary. For example, interface of solar panels or fuel cell. The output voltage is then processed by a DSP unit that uses the signals that command the switches

  4. Primate Motor Cortex: Individual and Ensemble Neuron-Muscle Output Relationships

    E-Print Network [OSTI]

    Griffin, Darcy Michelle

    2008-07-30T23:59:59.000Z

    The specific aims of this study were to: 1) investigate the encoding of forelimb muscle activity timing and magnitude by corticomotoneuronal (CM) cells, 2) test the stability of primary motor cortex (M1) output to forelimb ...

  5. Augmentation of Power Output of Axisymmetric Ducted Wind Turbines by Porous Trailing Edge Disks

    E-Print Network [OSTI]

    widnall, sheila

    2014-06-30T23:59:59.000Z

    This paper presents analytical and experimental results that demonstrated that the power output from a ducted wind turbine can be dramatically increased by the addition of a trailing edge device such as a porous disk. In ...

  6. Input-Output as a Method of Evaluahon of the Economic Impact of Water Resources Development

    E-Print Network [OSTI]

    Canion, R. L.; Trock, W. L.

    In this report the results of a study of the use of input-output analysis to evaluate the economic impact of water resources development are presented. Blackburn Crossing reservoir on the Upper Neches river was the subject development...

  7. Code design for multiple-input multiple-output broadcast channels

    E-Print Network [OSTI]

    Uppal, Momin Ayub

    2009-06-02T23:59:59.000Z

    Recent information theoretical results indicate that dirty-paper coding (DPC) achieves the entire capacity region of the Gaussian multiple-input multiple-output (MIMO) broadcast channel (BC). This thesis presents practical code designs for Gaussian...

  8. Concatenated codes for the multiple-input multiple-output quasi-static fading channel

    E-Print Network [OSTI]

    Gulati, Vivek

    2005-02-17T23:59:59.000Z

    CONCATENATED CODES FOR THE MULTIPLE-INPUT MULTIPLE-OUTPUT QUASI-STATIC FADING CHANNEL A Dissertation by VIVEK GULATI Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of DOCTOR OF PHILOSOPHY December 2004 Major Subject: Electrical Engineering CONCATENATED CODES FOR THE MULTIPLE-INPUT MULTIPLE-OUTPUT QUASI-STATIC FADING CHANNEL A Dissertation by VIVEK GULATI Submitted to Texas A&M University in partial fulfillment...

  9. Exploring the circadian outputs and function of HPT-1 in Neurospora crassa

    E-Print Network [OSTI]

    Vickery, Justin Wayde

    2013-09-28T23:59:59.000Z

    EXPLORING THE CIRCADIAN OUTPUTS AND FUNCTIONS OF HTP-1 IN NEUROSPORA CRASSA An Undergraduate Research Scholars Thesis by JUSTIN WAYDE VICKERY Submitted to Honors and Undergraduate Research Texas A&M University in partial fulfillment... ......................................................................................................................... 25 1 ABSTRACT Exploring the circadian outputs and functions of HPT-1 in N. crassa. (May 2014) Justin Wayde Vickery Department of Biology Texas A&M University Research Advisor: Dr. Deborah Bell-Pedersen Department of Biology...

  10. The Department of Industrial and Systems Engineering (ISE) at RENSSELAER POLYTECHNIC INSTITUTE in Troy, NY invites applications for a tenure-track faculty position at the Assistant or

    E-Print Network [OSTI]

    Mitchell, John E.

    The Department of Industrial and Systems Engineering (ISE) at RENSSELAER POLYTECHNIC INSTITUTE in Industrial and Systems Engineering or a closely related field. The ISE department is in a period of growth undergraduate and graduate courses in both the Industrial Systems Engineering curriculum, develop and maintain

  11. Coal Industry Annual 1995

    SciTech Connect (OSTI)

    NONE

    1996-10-01T23:59:59.000Z

    This report presents data on coal consumption, coal distribution, coal stocks, coal prices, coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States. This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 21 million short tons for 1995.

  12. Industrial Cogeneration Application

    E-Print Network [OSTI]

    Mozzo, M. A.

    INDUSTRIAL COGENERATION APLLICATION Martin A. Mozzo, Jr., P.E. American Standard, Inc. New York,New York ABSTRACT Cogeneration is the sequential use of a single fuel source to generate electrical and thermal energy. It is not a new technology... been reviewing the potential of cogeneration at some of our key facilities. Our plan is to begin with a Pilot Plant 500 KW steam turbine generator to be install~d and operating in 1986. Key points to be discuss~d in the paper are: 1...

  13. Coal industry annual 1996

    SciTech Connect (OSTI)

    NONE

    1997-11-01T23:59:59.000Z

    This report presents data on coal consumption, coal distribution, coal stocks, coal prices, and coal quality, and emissions for Congress, Federal and State agencies, the coal industry, and the general public. Appendix A contains a compilation of coal statistics for the major coal-producing States.This report does not include coal consumption data for nonutility power producers that are not in the manufacturing, agriculture, mining, construction, or commercial sectors. Consumption for nonutility power producers not included in this report is estimated to be 24 million short tons for 1996. 14 figs., 145 tabs.

  14. Industrial energy use indices

    E-Print Network [OSTI]

    Hanegan, Andrew Aaron

    2008-10-10T23:59:59.000Z

    and colder are determined by annual average temperature weather data). Data scatter may have several explanations, including climate, plant area accounting, the influence of low cost energy and low cost buildings used in the south of the U.S. iv... the average EUI for an energy type. The combined CoV from all of the industries considered, which accounts for 8,200 plants from all areas of the continental U.S., is 290%. This paper discusses EUIs and their variations based on electricity and natural...

  15. Natural Gas Industrial Price

    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-14 Dec-14 Jan-15LiquidBG 0 20Year Jan Feb2009 20103 5.53

  16. Industrial Green | Jefferson Lab

    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. DOEThe Bonneville PowerCherries 82981-1cnHigh SchoolIn Other News link to facebook link to04948Industrial Green

  17. CASL - Industry Council

    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 for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and8 FY0Link to Resources Industry

  18. CASL - Industry Council Resources

    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 for4,645 3,625govInstrumentstdmadapInactiveVisiting the TWPSuccess Stories Siteandscience, and8 FY0Link to Resources IndustryCASL

  19. Industrial Energy Efficiency

    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't YourTransport(Fact Sheet),EnergyImprovementINDIAN COUNTRYBarriers to Industrial Energy

  20. Industrial Energy Efficiency Assessments

    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't YourTransport(Fact Sheet),EnergyImprovementINDIAN COUNTRYBarriers to IndustrialEnergy

  1. Optimization of the LCLS X-ray FEL output performance in the presence of strong undulator wakefields

    E-Print Network [OSTI]

    Reiche, S; Emma, P; Fawley, W M; Huang, Z; Nuhn, H D; Stupakov, G V

    2005-01-01T23:59:59.000Z

    Optimization of the LCLS X-ray FEL output performance in the presence of strong undulator wakefields

  2. Productivity of the U.S. freight rail industry: a review of the past and prospects for the future

    E-Print Network [OSTI]

    Kriem, Youssef

    2011-01-01T23:59:59.000Z

    Productivity growth in the U.S. freight rail industry has slowed in recent years, raising the issue of the sustainability of the significant improvements achieved during the past three decades. Indeed, between 1979 and ...

  3. Output Harmonic Termination Techniques for AlGaN/GaN HEMT Power Amplifiers Using Active Integrated Antenna Approach

    E-Print Network [OSTI]

    Itoh, Tatsuo

    Output Harmonic Termination Techniques for AlGaN/GaN HEMT Power Amplifiers Using Active Integrated 1200, Los Angeles, CA 90045 Abstract -- In this paper, effects of output harmonic terminations on PAE termination, we observe a substantial increase in PAE and output power. Further, we demonstrate the high

  4. U.S. Motor Vehicle Output and Other GDP, 1968-2007 Danilo J. Santini, Ph. D.

    E-Print Network [OSTI]

    Kemner, Ken

    U.S. Motor Vehicle Output and Other GDP, 1968-2007 Danilo J. Santini, Ph. D. Senior Economist, and perform publicly and display publicly, by or on behalf of the Government. 1 #12;U.S. Motor Vehicle Output of motor vehicle output" on the rest of the economy over the period 1968-2007. We statistically assess

  5. Whitacre College of Engineering Industrial Engineering Department

    E-Print Network [OSTI]

    Gelfond, Michael

    Whitacre College of Engineering Industrial Engineering Department Department Chair and Professor of Industrial Engineering. The Industrial Engineering Department at Texas Tech University has a distinguished industrial engineering education and provide appropriate service to the department, university

  6. Faculty of Engineering & Design Industrial Placements

    E-Print Network [OSTI]

    Burton, Geoffrey R.

    Faculty of Engineering & Design Industrial Placements A guide for industry #12;Industrial placements The Faculty of Engineering & Design has built close links with engineering companies through research, projects, placements and graduate employees. We know that working with industry ensures our

  7. Competitive developments in the electric supply industry

    SciTech Connect (OSTI)

    Bruder, G.F.; Lively, M.

    1996-12-31T23:59:59.000Z

    Competition in the electric supply industry is outlined. The following topics are discussed: six impending major developments in the electric industry; recent and projected developments in the industry; where is the industry headed?; and what the future holds.

  8. Research Projects in Industrial Technology.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration. Industrial Technology Section.

    1990-06-01T23:59:59.000Z

    The purpose of this booklet is to briefly describe ongoing and completed projects being carried out by Bonneville Power Administration's (BPA) Industrial Technology Section. In the Pacific Northwest, the industrial sector is the largest of the four consuming sectors. It accounted for thirty-nine percent of the total firm demand in the region in 1987. It is not easy to asses the conservation potential in the industrial sector. Recognizing this, the Northwest Power Planning Council established an objective to gain information on the size, cost, and availability of the conservation resource in the industrial sector, as well as other sectors, in its 1986 Power Plan. Specifically, the Council recommended that BPA operate a research and development program in conjunction with industry to determine the potential costs and savings from efficiency improvements in industrial processes which apply to a wide array of industrial firms.'' The section, composed of multidisciplinary engineers, provides technical support to the Industrial Programs Branch by designing and carrying out research relating to energy conservation in the industrial sector. The projects contained in this booklet are arranged by sector --industrial, utility, and agricultural -- and, within each sector, chronologically from ongoing to completed, with those projects completed most recently falling first. For each project the following information is given: its objective approach, key findings, cost, and contact person. Completed projects also include the date of completion, a report title, and report number.

  9. Biomedical | Chemical & Biomolecular | Civil & Environmental | Electrical & Computer | Industrial | Mechanical | Petroleum Careers in Industrial Engineering

    E-Print Network [OSTI]

    Glowinski, Roland

    | Mechanical | Petroleum Careers in Industrial Engineering Manufacturing, service and retail industries hireBiomedical | Chemical & Biomolecular | Civil & Environmental | Electrical & Computer | Industrial a significant number of industrial engineers. Specific industries include automobile manufacturers, electronics

  10. The Industrialization of Thermoelectric Power Generation Technology...

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

    The Industrialization of Thermoelectric Power Generation Technology The Industrialization of Thermoelectric Power Generation Technology Presents module and system requirements for...

  11. ITP Industrial Materials: Development and Commercialization of...

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

    Industrial Materials: Development and Commercialization of Alternative Carbon Fiber Precursors and Conversion Technologies ITP Industrial Materials: Development and...

  12. SPIDERS Joint Capability Technology Demonstration Industry Day...

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

    SPIDERS Joint Capability Technology Demonstration Industry Day Presentations SPIDERS Joint Capability Technology Demonstration Industry Day Presentations Presentations from the...

  13. Office of Industry Research and Technology Programs Greetings to Industry

    E-Print Network [OSTI]

    Ginzel, Matthew

    Assistant Vice President, Corporate & Foundation Relations Inside this issue... Greetings to Industry. The founding members are American Axle and Manufacturing, Eaton Corpora- tion and John Deere. This applied

  14. Modeling the Energy Output from an In-Stream Tidal Turbine Farm

    E-Print Network [OSTI]

    Ye Li; Barbara J. Lence; Sander M. Calisal

    Abstract—This paper is based on a recent paper presented in the 2007 IEEE SMC conference by the same authors [1], discussing an approach to predicting energy output from an instream tidal turbine farm. An in-stream tidal turbine is a device for harnessing energy from tidal currents in channels, and functions in a manner similar to a wind turbine. A group of such turbines distributed in a site is called an in-stream tidal turbine farm which is similar to a wind farm. Approaches to estimating energy output from wind farms cannot be fully transferred to study tidal farms, however, because of the complexities involved in modeling turbines underwater. In this paper, we intend to develop an approach for predicting energy output of an in-stream tidal turbine farm. The mathematical formulation and basic procedure for predicting power output of a stand-alone turbine 1 is presented, which includes several highly nonlinear terms. In order to facilitate the computation and utilize the formulation for predicting power output from a turbine farm, a simplified relationship between turbine distribution and turbine farm energy output is derived. A case study is then conducted by applying the numerical procedure to predict the energy output of the farms. Various scenarios are implemented according to the environmental conditions in Seymour Narrows, British Columbia, Canada. Additionally, energy cost results are presented as an extension. Index Terms—renewable energy, in-stream turbine, tidal current, tidal power, vertical axis turbine, farm system modeling, in-stream tidal turbine farm 1 A stand-alone turbine refers to a turbine around which there is no other turbine that might potentially affect the performance of this turbine.

  15. System and method for cancelling the effects of stray magnetic fields from the output of a variable reluctance sensor

    DOE Patents [OSTI]

    Chen, Chingchi (Ann Arbor, MI); Degner, Michael W. (Farmington Hills, MI)

    2002-11-19T23:59:59.000Z

    A sensor system for sensing a rotation of a sensing wheel is disclosed. The sensor system has a sensing coil in juxtaposition with the sensing wheel. Moreover, the sensing coil has a sensing coil output signal indicative of the rotational speed of the sensing wheel. Further, a cancellation coil is located remotely from the sensing coil and connected in series therewith. Additionally, the cancellation coil has a cancellation coil output signal indicative of an environmental disturbance which is effecting the sensing coil output signal. The cancellation coil output signal operates to cancel the effects of the environmental disturbance on the sensing coil output signal.

  16. A combined compensation method for the output voltage of an insulated core transformer power supply

    SciTech Connect (OSTI)

    Yang, L.; Yang, J., E-mail: jyang@mail.hust.edu.cn; Liu, K. F.; Qin, B.; Chen, D. Z. [State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Wuhan 430074 (China)

    2014-06-15T23:59:59.000Z

    An insulated core transformer (ICT) power supply is an ideal high-voltage generator for irradiation accelerators with energy lower than 3 MeV. However, there is a significant problem that the structure of the segmented cores leads to an increase in the leakage flux and voltage differences between rectifier disks. A high level of consistency in the output of the disks helps to achieve a compact structure by improving the utilization of both the rectifier components and the insulation distances, and consequently increase the output voltage of the power supply. The output voltages of the disks which are far away from the primary coils need to be improved to reduce their inhomogeneity. In this study, by investigating and comparing the existing compensation methods, a new combined compensation method is proposed, which increases the turns on the secondary coils and employs parallel capacitors to improve the consistency of the disks, while covering the entire operating range of the power supply. This method turns out to be both feasible and effective during the development of an ICT power supply. The non-uniformity of the output voltages of the disks is less than 3.5% from no-load to full-load, and the power supply reaches an output specification of 350 kV/60 mA.

  17. FAQS Reference Guide – Industrial Hygiene

    Broader source: Energy.gov [DOE]

    This reference guide addresses the competency statements in the November 2007 edition of DOE-STD-1138-2007, Industrial Hygiene Functional Area Qualification Standard.

  18. China's Nuclear Industry After Fukushima

    E-Print Network [OSTI]

    YUAN, Jingdong

    2013-01-01T23:59:59.000Z

    s Nuclear Industry After Fukushima Jingdong YUAN SummaryT he March 2011 Fukushima nuclear accident has had aand speedy responses to Fukushima-like and other unexpected

  19. Promoting Sustainable Economic Growth in Mexico (Fact Sheet)

    SciTech Connect (OSTI)

    Watson, A.; Butheau, M.; Sandor, D.

    2013-11-01T23:59:59.000Z

    Mexico is the second largest economy in Latin America, with rapid growth occurring in the industrial and services sectors. A forward-thinking country on climate change, the nation recognizes that the threat of higher temperatures, changes in precipitation patterns, and more frequent weather-related disasters could pose a substantial risk to its expanding economy.

  20. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1. Total

  1. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1. Total2.

  2. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1. Total2.3.

  3. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1. Total2.3..

  4. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.

  5. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.3. Revenue

  6. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.3.

  7. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.3.6.

  8. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.3.6.7.

  9. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.3.6.7.8.

  10. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2. For9,250NetThousand1.3.6.7.8.9.

  11. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.

  12. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric Power

  13. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. Net

  14. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA. Net

  15. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA. NetB.

  16. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA. NetB.A.

  17. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.

  18. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6. Net

  19. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6. Net7.

  20. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6.

  1. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6.9. Net

  2. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6.9.

  3. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6.9.1.

  4. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB. NetA.6.9.1.2.

  5. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.

  6. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net

  7. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5. Net

  8. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5. Net6.

  9. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5.

  10. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5.8. Net

  11. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5.8.

  12. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5.8.0.

  13. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4. Net5.8.0.1.

  14. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.

  15. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3. Useful

  16. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3. Useful4.

  17. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3. Useful4..

  18. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3.

  19. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3.B.

  20. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3.B.3.

  1. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3.B.3.4.

  2. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3.B.3.4.5.

  3. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric PowerB.4.3.B.3.4.5.6.

  4. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. Electric

  5. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer Capacity

  6. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer

  7. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer9. Total

  8. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer9.

  9. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer9.1.

  10. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer9.1.2.

  11. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net Summer9.1.2.3.

  12. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. Net

  13. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA. Coal:

  14. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA. Coal:B. Coal:

  15. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA. Coal:B.

  16. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA. Coal:B.D.

  17. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA. Coal:B.D.E.

  18. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA. Coal:B.D.E.F.

  19. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.

  20. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B. Petroleum

  1. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B. PetroleumC.

  2. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.

  3. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E. Petroleum

  4. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E.

  5. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E.A.

  6. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E.A.B.

  7. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E.A.B.C.

  8. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E.A.B.C.D.

  9. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB. NetA.B.E.A.B.C.D.E.

  10. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.

  11. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. Natural Gas:

  12. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. Natural Gas:B.

  13. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. Natural Gas:B.C.

  14. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. Natural

  15. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. NaturalE. Natural

  16. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. NaturalE.

  17. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. NaturalE.D. Wood

  18. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. NaturalE.D.

  19. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. NaturalE.D.F.

  20. SAS Output

    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 IRaghurajiConventionalMississippi"site.1 Relative Standard Errors forA2.1. ElectricB.A. NaturalE.D.F.A.