Sample records for non-opec short-term energy

  1. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    day Forecast -1.0 2012 2013 2014 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC Source: Short-Term Energy Outlook, November 2013 -1 0...

  2. Short-Term Energy Outlook

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

    Chart Gallery for April 2015 Short-Term Energy Outlook U.S. Energy Information Administration Independent Statistics & Analysis 0 20 40 60 80 100 120 140 160 180 200 220 Jan 2014...

  3. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy33

  4. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term

  5. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term(STEO)

  6. Short-Term Energy Outlook September 2013

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

    September 2013 1 September 2013 Short-Term Energy Outlook (STEO) Highlights Monthly average crude oil prices increased for the fourth consecutive month in August 2013, as...

  7. Short-Term Energy Outlook April 2014

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

    -0.5 0.0 0.5 1.0 1.5 2013 2014 2015 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC World Crude Oil and Liquid Fuels Production Growth...

  8. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1

  9. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights

  10. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights 1

  11. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO) Highlights

  12. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)

  13. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)

  14. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)June

  15. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1(STEO)(STEO)June

  16. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3

  17. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October 2014

  18. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenatural

  19. Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenatural

  20. Short Term Energy Outlook, February 2003

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy

  1. Short Term Energy Outlook, January 2003

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy3

  2. Short Term Energy Outlook, March 2003

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San3 1 Short-Term Energy33

  3. Short-term energy outlook, January 1999

    SciTech Connect (OSTI)

    NONE

    1999-01-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares the Short-Term Energy Outlook (energy supply, demand, and price projections) monthly. The forecast period for this issue of the Outlook extends from January 1999 through December 2000. Data values for the fourth quarter 1998, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the January 1999 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 28 figs., 19 tabs.

  4. Short-term energy outlook, July 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from July 1998 through December 1999. Values for second quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the July 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. 28 figs., 19 tabs.

  5. Short-Term Energy Outlook- May 2003

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer3 1 Short-Term

  6. Short-term energy outlook quarterly projections. Third quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-07-01T23:59:59.000Z

    This document presents the 1997 third quarter short term energy projections. Information is presented for fossil fuels and renewable energy.

  7. Short-term energy outlook quarterly projections. First quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-02-07T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short- term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets.

  8. Short-term energy outlook, April 1999

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

    The forecast period for this issue of the Outlook extends from April 1999 through December 2000. Data values for the first quarter 1999, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the April 1999 version of the Short-Term Integrated forecasting system (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 25 figs., 19 tabs.

  9. Short-term energy outlook. Quarterly projections, Third quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202). The feature article for this issue is Demand, Supply and Price Outlook for Reformulated Gasoline, 1995.

  10. Short-term energy outlook annual supplement, 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-06T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  11. Short-term energy outlook, annual supplement 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

    The Short-Term Energy Outlook Annual Supplement (Supplement) is published once a year as a complement to the Short-Term Energy Outlook (Outlook), Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts.

  12. Short-term energy outlook. Quarterly projections, Third quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-08-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the third quarter of 1995 through the fourth quarter of 1996. Values for the second quarter of 1995, however, are preliminary EIA estimates.

  13. August 2012 Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S.NA (Barrels per

  14. September 2012 Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San Juan Montana Thrust

  15. Short Term Energy Outlook ,November 2002

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San JuanGasData

  16. Short Term Energy Outlook ,October 2002

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San JuanGasDataOctober

  17. Short Term Energy Outlook, December 2002

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San

  18. Short-Term Energy Outlook April 2014

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels

  19. Short-Term Energy Outlook February 2014

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels4 1

  20. Short-Term Energy Outlook January 2014

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels4

  1. Short-Term Energy Outlook July 2013

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels41

  2. Short-Term Energy Outlook June 2013

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer Fuels411

  3. Short-Term Energy Outlook March 2014

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer

  4. Short-Term Energy Outlook May 2014

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and Summer(STEO)

  5. Short-Term Energy Outlook September 2013

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1and

  6. Short-Term Energy Outlook September 2014

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1andOutlook

  7. Short-term energy outlook: Quarterly projections. Second quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-05-02T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent projections with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the second quarter of 1995 through the fourth quarter of 1996. Values for the first quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the second quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

  8. Management and Conservation Short-Term Impacts of Wind Energy

    E-Print Network [OSTI]

    Beck, Jeffrey L.

    Management and Conservation Short-Term Impacts of Wind Energy Development on Greater Sage associated with wind energy development on greater sage-grouse populations. We hypothesized that greater sage-grouse nest, brood, and adult survival would decrease with increasing proximity to wind energy infrastructure

  9. Short-Term Solar Energy Forecasting Using Wireless Sensor Networks

    E-Print Network [OSTI]

    Cerpa, Alberto E.

    Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Stefan Achleitner, Tao Liu an advantage for output power prediction. Solar Energy Prediction System Our prediction model is based variability of more then 100 kW per minute. For practical usage of solar energy, predicting times of high

  10. Short-term energy outlook. Volume 2. Methodology

    SciTech Connect (OSTI)

    Not Available

    1982-05-01T23:59:59.000Z

    This volume updates models and forecasting methodologies used and presents information on new developments since November 1981. Chapter discusses the changes in forecasting methodology for motor gasoline demand, electricity sales, coking coal, and other petroleum products. Coefficient estimates, summary statistics, and data sources for many of the short-term energy models are provided. Chapter 3 evaluates previous short-term forecasts for the macroeconomic variables, total energy, petroleum supply and demand, coal consumption, natural gas, and electricity fuel shares. Chapter 4 reviews the relationship of total US energy consumption to economic activity between 1960 and 1981.

  11. Short-term energy outlook. Quarterly projections, second quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    The Energy Information Administration prepares quarterly, short-term energy supply, demand, and price projections. The forecasts in this issue cover the second quarter of 1996 through the fourth quarter of 1997. Changes to macroeconomic measures by the Bureau of Economic Analysis have been incorporated into the STIFS model used.

  12. Short-term energy outlook: Quarterly projections, Third quarter 1992

    SciTech Connect (OSTI)

    Not Available

    1992-08-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The principal users of the Outlook are managers and energy analysts in private industry and government. The forecast period for this issue of the Outlook extends from the third quarter of 1992 through the fourth quarter of 1993. Values for the second quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  13. Short-term energy outlook, Quarterly projections. Third quarter 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-04T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the third quarter of 1993 through the fourth quarter of 1994. Values for the second quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  14. Short-Term Energy Outlook: Quarterly projections. Fourth quarter 1993

    SciTech Connect (OSTI)

    Not Available

    1993-11-05T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.) The forecast period for this issue of the Outlook extends from the fourth quarter of 1993 through the fourth quarter of 1994. Values for the third quarter of 1993, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications.

  15. Short-term energy outlook quarterly projections: First quarter 1993

    SciTech Connect (OSTI)

    Not Available

    1993-02-03T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. (See Short-Term Energy Outlook Annual Supplement, DOE/EIA-0202.). The forecast period for this issue of the Outlook extends from the first quarter of 1993 through the fourth quarter of 1994. Values for the fourth quarter of 1992, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data are EIA data published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  16. Short-term energy outlook. Quarterly projections, first quarter 1995

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). The forecast period for this issue of the Outlook extends from the first quarter of 1995 through the fourth quarter of 1996. Values for the fourth quarter of 1994, however, are preliminary EIA estimates or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1995 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

  17. Short-term energy outlook: Quarterly projections, fourth quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-10-14T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for printed publication in January, April, July, and October in the Short-Term Energy Outlook. The details of these projections, as well as monthly updates on or about the 6th of each interim month, are available on the internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The forecast period for this issue of the Outlook extends from the fourth quarter of 1997 through the fourth quarter of 1998. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the fourth quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. 19 tabs.

  18. Short-term energy outlook, quarterly projections, second quarter 1998

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections. The details of these projections, as well as monthly updates, are available on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. The paper discusses outlook assumptions; US energy prices; world oil supply and the oil production cutback agreement of March 1998; international oil demand and supply; world oil stocks, capacity, and net trade; US oil demand and supply; US natural gas demand and supply; US coal demand and supply; US electricity demand and supply; US renewable energy demand; and US energy demand and supply sensitivities. 29 figs., 19 tabs.

  19. Short-term energy outlook. Quarterly projections, first quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-02-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Outlook. The forecast period for this issue of the Outlook extends from the first quarter of 1996 through the fourth quarter of 1997. Values for the fourth quarter of 1995, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled into the first quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the Short-Term Integrated Forecasting System (STIFS). The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook.

  20. Short-term energy outlook: Quarterly projections, second quarter 1997

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the second quarter of 1997 through the fourth quarter of 1998. Values for the first quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the second quarter 1997 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the Short-Term Integrated Forecasting System (STIFS). 34 figs., 19 tabs.

  1. Short-term energy outlook, Annual supplement 1995

    SciTech Connect (OSTI)

    NONE

    1995-07-25T23:59:59.000Z

    This supplement is published once a year as a complement to the Short- Term Energy Outlook, Quarterly Projections. The purpose of the Supplement is to review the accuracy of the forecasts published in the Outlook, make comparisons with other independent energy forecasts, and examine current energy topics that affect the forecasts. Chap. 2 analyzes the response of the US petroleum industry to the recent four Federal environmental rules on motor gasoline. Chap. 3 compares the EIA base or mid case energy projections for 1995 and 1996 (as published in the first quarter 1995 Outlook) with recent projections made by four other major forecasting groups. Chap. 4 evaluates the overall accuracy. Chap. 5 presents the methology used in the Short- Term Integrated Forecasting Model for oxygenate supply/demand balances. Chap. 6 reports theoretical and empirical results from a study of non-transportation energy demand by sector. The empirical analysis involves the short-run energy demand in the residential, commercial, industrial, and electrical utility sectors in US.

  2. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003 Short-Term

  3. Short-Term Energy and Winter Fuels Outlook October 2013

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer3 1 Short-Term3

  4. Short-Term Test Results: Multifamily Home Energy Efficiency Retrofit

    SciTech Connect (OSTI)

    Lyons, J.

    2013-01-01T23:59:59.000Z

    Multifamily deep energy retrofits (DERs) represent great potential for energy savings, while also providing valuable insights on research-generated efficiency measures, cost-effectiveness metrics, and risk factor strategies for the multifamily housing industry. The Bay Ridge project is comprised of a base scope retrofit with a goal of achieving 30% savings (relative to pre-retrofit), and a DER scope with a goal of 50% savings (relative to pre-retrofit). The base scope has been applied to the entire complex, except for one 12-unit building which underwent the DER scope. Findings from the implementation, commissioning, and short-term testing at Bay Ridge include air infiltration reductions of greater than 60% in the DER building; a hybrid heat pump system with a Savings to Investment Ratio (SIR) > 1 (relative to a high efficiency furnace) which also provides the resident with added incentive for energy savings; and duct leakage reductions of > 60% using an aerosolized duct sealing approach. Despite being a moderate rehab instead of a gut rehab, the Bay Ridge DER is currently projected to achieve energy savings ? 50% compared to pre-retrofit, and the short-term testing supports this estimate.

  5. Short-term energy outlook. Quarterly projections, third quarter 1996

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in January, April, July, and October in the Outlook. The forecast period for this issue of the Outlook extends from the third quarter of 1996 through the fourth quarter of 1997. Values for the second quarter of 1996, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available (for example, electricity sales and generation are simulated using actual weather data). The historical energy data, compiled in the third quarter 1996 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service.

  6. Short-term energy outlook, quarterly projections, first quarter 1998

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    The forecast period for this issue of the Outlook extends from the first quarter of 1998 through the fourth quarter of 1999. Values for the fourth quarter of 1997, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the first quarter 1998 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are adjusted by EIA to reflect EIA assumptions which may affect the macroeconomic outlook. By varying the assumptions, alternative cases are produced by using the STIFS model. 24 figs., 19 tabs.

  7. Short term thermal energy storage Institut fr Kernenergetik und Energiesysteme, University of Stuttgart, Stuttgart, FRG

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    477 Short term thermal energy storage A. Abhat Institut für Kernenergetik und Energiesysteme the problem of short term thermal energy storage for low temperature solar heating applications. The techniques of sensible and latent heat storage are discussed, with particular emphasis on the latter

  8. Energy Information Administration/Short-Term Energy Outlook - April 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,

  9. Energy Information Administration/Short-Term Energy Outlook - April 2006

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1 April

  10. Energy Information Administration/Short-Term Energy Outlook - August 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1 April5

  11. Energy Information Administration/Short-Term Energy Outlook - February 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1

  12. Energy Information Administration/Short-Term Energy Outlook - January 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6 1January

  13. Energy Information Administration/Short-Term Energy Outlook - July 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,6

  14. Energy Information Administration/Short-Term Energy Outlook - June 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 1

  15. Energy Information Administration/Short-Term Energy Outlook - May 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 1

  16. Energy Information Administration/Short-Term Energy Outlook - October 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15 1

  17. Energy Information Administration/Short-Term Energy Outlook - September 2005

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. Coal Flow,65 15 15

  18. Fact #836: September 1, Non-OPEC Countries Supply Nearly Two...

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

    per day) Year Non-OPEC Countries OPEC Countries Total Percent OPEC Canada Mexico Russia Other Non-OPEC Nigeria Saudi Arabia Venezuela Other OPEC Countries 1960 0.12 0.02 0.00...

  19. Fact #836: September 1, 2014 Non-OPEC Countries Supply Nearly...

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

    Fact 836: September 1, 2014 Non-OPEC Countries Supply Nearly Two-thirds of U.S. Petroleum Imports - Dataset Fact 836: September 1, 2014 Non-OPEC Countries Supply Nearly...

  20. Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

  1. Newporter Apartments: Deep Energy Retrofit Short-Term Results

    SciTech Connect (OSTI)

    Gordon, A.; Howard, L.; Kunkle, R.; Lubliner, M.; Auer, D.; Clegg, Z.

    2012-12-01T23:59:59.000Z

    This project demonstrates a path to meet the goal of the Building America program to reduce home energy use by 30% in multi-family buildings. The project demonstrates cost effective energy savings targets as well as improved comfort and indoor environmental quality (IEQ) associated with deep energy retrofits by a large public housing authority as part of a larger rehabilitation effort. The project focuses on a typical 1960's vintage low-rise multi-family apartment community (120 units in three buildings).

  2. Long vs. short-term energy storage:sensitivity analysis.

    SciTech Connect (OSTI)

    Schoenung, Susan M. (Longitude 122 West, Inc., Menlo Park, CA); Hassenzahl, William V. (,Advanced Energy Analysis, Piedmont, CA)

    2007-07-01T23:59:59.000Z

    This report extends earlier work to characterize long-duration and short-duration energy storage technologies, primarily on the basis of life-cycle cost, and to investigate sensitivities to various input assumptions. Another technology--asymmetric lead-carbon capacitors--has also been added. Energy storage technologies are examined for three application categories--bulk energy storage, distributed generation, and power quality--with significant variations in discharge time and storage capacity. Sensitivity analyses include cost of electricity and natural gas, and system life, which impacts replacement costs and capital carrying charges. Results are presented in terms of annual cost, $/kW-yr. A major variable affecting system cost is hours of storage available for discharge.

  3. April 2013 Short-Term Energy and Summer Fuels Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title: Telephone:shortOil and Natural8U.S. Energy8 Appendix7

  4. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perThe Energy

  5. December 2012 Short-Term Energy Outlook (STEO)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015Year109 AppendixCosts ofMarch2Q)4(82)6)k(STEO)  EIA

  6. February 2013 Short-Term Energy Outlook (STEO)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,99 Diagram 4. FOR

  7. January 2013 Short-Term Energy Outlook (STEO)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricityrgy Consumption Series(STEO)

  8. March 2013 Short-Term Energy Outlook (STEO)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration (EIA)Administration(STEO)

  9. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gas Summary

  10. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gas

  11. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural Gascontinue

  12. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural

  13. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 and $2.75

  14. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 and

  15. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71 andabout

  16. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural71

  17. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20 per

  18. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20

  19. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA NA60,290Natural714.20late

  20. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NA

  1. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003

  2. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through the

  3. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through the

  4. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003through

  5. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin

  6. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin7

  7. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May 2003throughin78

  8. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May

  9. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtu in

  10. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtu

  11. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per MMBtulate

  12. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 per

  13. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perThe

  14. Natural Gas Summary from the Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30 2013 Macroeconomic team:6-2015 Illinois NA NA NAIn the May5.57 perTheThe

  15. Short-Term Energy Outlook April 1999-Summer Gasoline Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October‹Summer

  16. Short-Term Energy Outlook April 2000--STEO Preface

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1

  17. Short-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes

    E-Print Network [OSTI]

    Yener, Aylin

    for energy recharge. Under the assumption of an increasing concave power-rate relationship, the short completion time of a given amount of data were found for an energy harvesting node under the assumptionShort-Term Throughput Maximization for Battery Limited Energy Harvesting Nodes Kaya Tutuncuoglu

  18. DOE/EIA-0202(85/1Q) Short-Term Energy Outlook Quarterly Projections

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term Energy

  19. DOE/EIA-0202(85/2Q) Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term

  20. DOE/EIA-0202(85/3Q) Short-Term Energy Outlook Quarterly Projections

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q) Short-Term3Q)

  1. Short-Term Energy Tests of a Credit Union Building in Idaho (Draft)

    SciTech Connect (OSTI)

    Subbarao, K.; Balcomb, J. D.

    1993-01-01T23:59:59.000Z

    This report describes tests and results of the energy performance of a credit union building in Idaho. The building is in the Energy Edge Program administered by the Bonneville Power Administration (BPA). BPA provided incentives to incorporate innovative features designed to conserve energy use by the building. It is of interest to determine the actual performance of these features. The objective of this project was to evaluate the applicability of the SERI short-term energy monitoring (STEM) method to nonresidential buildings.

  2. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenaturalSpecialShort-Term

  3. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date. The Short-Term

  4. Short-Term Energy Outlook Supplement: Uncertainties in the Short-Term Global Petroleum and Other Liquids Supply Forecast

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34Summer 2013

  5. Short-term energy outlook. Quarterly projections, 2nd quarter 1994

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares quarterly, short-term energy supply, demand, and price projections for publication in February, May, August, and November in the Short-Term Energy Outlook (Outlook). An annual supplement analyzes the performance of previous forecasts, compares recent cases with those of other forecasting services, and discusses current topics related to the short-term energy markets. The forecast period for this issue of the Outlook extends from the second quarter of 1994 through the fourth quarter of 1995. Values for the first quarter of 1994, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in the Weekly Petroleum Status Report) or are calculated from model simulations using the latest exogenous information available. The historical energy data, compiled into the second quarter 1994 version of the Short-Term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding. The STIFS database is archived quarterly and is available from the National Technical Information Service. The cases are produced using the STIFS. The STIFS model is driven principally by three sets of assumptions or inputs: estimates of key macroeconomic variables, world oil price assumptions, and assumptions about the severity of weather. Macroeconomic estimates are produced by DRI/McGraw-Hill but are adjusted by EIA to reflect EIA assumptions about the world price of crude oil, energy product prices, and other assumptions which may affect the macroeconomic outlook. The EIA model is available on computer tape from the National Technical Information Service.

  6. DSM savings verification through short-term pre-and-post energy monitoring at 90 facilities

    SciTech Connect (OSTI)

    Misuriello, H.

    1994-12-31T23:59:59.000Z

    This paper summarizes the DSM impact results obtained from short-term energy measurements performed at sites monitored as part of the Commercial, Industrial and Agricultural (CIA) Retrofit Incentives Evaluation Program sponsored by the Pacific Gas & Electric Company. The DSM measures include those typically found in these sectors; i.e., lighting, motors, irrigation pumps and HVAC modifications. The most important findings from the site measurements are the estimated annual energy and demand savings. Although there may be large differences of projected energy savings for individual sites, when viewed in the aggregate the total energy savings for the program were found to be fairly comparable to engineering estimates. This paper describes the lessons learned from attempting in-situ impact evaluations of DSM savings under both direct and custom rebate approaches. Impact parameters of interest include savings under both direct and custom rebate approaches. Impact parameters of interest include gross first-year savings and load shape impacts. The major method discussed in this paper is short-term before/after field monitoring of affected end-uses; however, the complete impact evaluation method also includes a billing analysis component and a hybrid statistical/engineering model component which relies, in part, on the short-term end-use data.

  7. DOE/EIA-0202(87/1Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q) Energy

  8. DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly Projections

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy Outlook Quarterly

  9. DOE/EIA-0202(84/1Q) Short-Term Energy Outlook Quarterly Projections

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)

  10. DOE/EIA-0202(84/2QH Short-Term Energy Outlook Quarterly Projections

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)2QH

  11. DOE/EIA-0202(84/3Q) Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY1Q)2QH3Q)

  12. DOE/EIA-0202(84/4Q) Short-Term Energy Outlook Quarterly Projections

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P

  13. DOE/EIA-0202(85/4Q) Short-Term Energy Outlook OBIS Quarterly

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)

  14. DOE/EIA-0202(87/2Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)

  15. DOE/EIA-0202(87/3Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)3Q)

  16. DOE/EIA-0202(87/4Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)7/1Q)3Q)4Q)

  17. DOE/EIA-0202(88/2Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy Information

  18. DOE/EIA-0202(88/3Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy Information3Q)

  19. DOE/EIA-0202|83/2Q)-1 Short-Term Energy Outlook

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 1

  20. Short-term energy outlook, October 1998. Quarterly projections, 1998 4. quarter

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

    The Energy Information Administration (EIA) prepares The Short-Term Energy Outlook (energy supply, demand, and price projections) monthly for distribution on the Internet at: www.eia.doe.gov/emeu/steo/pub/contents.html. In addition, printed versions of the report are available to subscribers in January, April, July and October. The forecast period for this issue of the Outlook extends from October 1998 through December 1999. Values for third quarter of 1998 data, however, are preliminary EIA estimates (for example, some monthly values for petroleum supply and disposition are derived in part from weekly data reported in EIA`s Weekly Petroleum Status Report) or are calculated from model simulations that use the latest exogenous information available (for example, electricity sales and generation are simulated by using actual weather data). The historical energy data, compiled in the October 1998 version of the Short-term Integrated Forecasting System (STIFS) database, are mostly EIA data regularly published in the Monthly Energy Review, Petroleum Supply Monthly, and other EIA publications. Minor discrepancies between the data in these publications and the historical data in this Outlook are due to independent rounding.

  1. DOE/EIA-0202(88/1Q) Energy Information Administration Short-Term

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term

  2. Short-Term Energy Monitoring (STEM): Application of the PSTAR method to a residence in Fredericksburg, Virginia

    SciTech Connect (OSTI)

    Subbarao, K.; Burch, J.D.; Hancock, C.E.; Lekov, A.; Balcomb, J.D.

    1988-09-01T23:59:59.000Z

    This report describes a project to assess the thermal quality of a residential building based on short-term tests during which a small number of data channels are measured. The project is called Short- Term Energy Monitoring (STEM). Analysis of the data provides extrapolation to long-term performance. The test protocol and analysis are based on a unified method for building simulations and short-term testing called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance is best satisfied in the least squares sense; hence, the name PSTAR. The mathematical formulation of PSTAR is detailed in earlier reports. This report describes the short-term tests and data analysis performed using the PSTAR method on a residential building in Fredricksburg, Virginia. The results demonstrate the ability of the PSTAR method to provide a realistically complex thermal model of a building, and determine from short-term tests the statics as well as the dynamics of a building, including solar dynamics. 10 refs., 12 figs., 2 tabs.

  3. Methodology for Analyzing Energy and Demand Savings From Energy Services Performance Contract Using Short-Term Data

    E-Print Network [OSTI]

    Liu, Z.; Haberl, J. S.; Cho, S.; Lynn, B.; Cook, M.

    2006-01-01T23:59:59.000Z

    ..iilJlf t '_:pUIltaD ? (e) (d) ? ? I I , , ., ? BJ ? AmmJl.thm:pIIILt1II:l ....iind?t.m'.m1R.Dl (,) (f) r ~ ~, ~I-----------'l,----------f .. AmmJl.thJII.:p1mt1ll:1 ., February 9, 2009 Energy Systems Laboratory 10 CONCLUSIONSCASE STUDIESMETHODOLOGY DEMAND SAVINGS...METHODOLOGY FOR ANALYZING ENERGY AND DEMAND SAVINGS FROM ENERGY SERVICES PERFORMANCE CONTRACT USING SHORT-TERM DATA Zi Liu, Jeff Haberl, Soolyeon Cho Energy Systems Laboratory Texas A&M University System College Station, TX 77843 Bobby...

  4. IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 24, NO. 1, MARCH 2009 125 Short-Term Prediction of Wind Farm Power

    E-Print Network [OSTI]

    Kusiak, Andrew

    IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 24, NO. 1, MARCH 2009 125 Short-Term Prediction of Wind Farm Power: A Data Mining Approach Andrew Kusiak, Member, IEEE, Haiyang Zheng, and Zhe Song, Student Member, IEEE Abstract--This paper examines time series models for predicting the power of a wind

  5. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report presents a unified method of hourly simulation of a building and analysis of performance data. The method is called Primary and Secondary Terms Analysis and Renormalization (PSTAR). In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense, hence, the name PSTAR. PSTAR allows extraction of building characteristics from short-term tests on a small number of data channels. These can be used for long-term performance prediction (''ratings''), diagnostics, and control of heating, ventilating, and air conditioning systems (HVAC), comparison of design versus actual performance, etc. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI.

  6. Probabilistic wind power forecasting -European Wind Energy Conference -Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Probabilistic wind power forecasting - European Wind Energy Conference - Milan, Italy, 7-10 May 2007 Probabilistic short-term wind power forecasting based on kernel density estimators J´er´emie Juban jeremie.juban@ensmp.fr; georges.kariniotakis@ensmp.fr Abstract Short-term wind power forecasting tools

  7. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest RegionatSearchScheduled System OutagesNewsMaterialsX-rayOur‹ Analysis &

  8. QUARTER SHORT-TERM ENERGY OUTLOOK QUARTERLY PROJECTIONS ENERGY INFORMATION ADMINISTRATION

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S.Feet) Year Weekly7 (Released July1Q)

  9. QUARTER SHORT-TERM ENERGY OUTLOOK QUARTERLY PROJECTIONS ENERGY INFORMATION ADMINISTRATION

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S.Feet) Year Weekly7 (Released

  10. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October

  11. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1 October‹

  12. Short-Term Energy Outlook Supplement: Energy-weighted industrial production indices

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34 1andOutlook4

  13. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenaturalSpecial Analysis +

  14. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenaturalSpecial Analysis

  15. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenaturalSpecial AnalysisAll

  16. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration (EIA)propanenaturalSpecial

  17. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328Administration

  18. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date. The

  19. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date. TheSummer

  20. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date. TheSummerCoal

  1. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date.

  2. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date.Global Petroleum

  3. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date.Global

  4. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release Date.GlobalPrices

  5. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule Release

  6. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule ReleaseEconomic Assumptions

  7. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule ReleaseEconomic

  8. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule ReleaseEconomicMarket Prices

  9. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9, 2015 Residentialdrivers to pullEconomic AssumptionsMarket

  10. Short Term Energy Monitoring: What Does This Information Mean to the Facility Energy Manager?

    E-Print Network [OSTI]

    Bryant, J. A.; Carlson, K. A.

    2000-01-01T23:59:59.000Z

    off. Major results for this test were: Lighting: The total demand level of all lighting was found to be about 277 kW. The lighting energy used during a typical academic workweek in the Engineering Physics Building-Office side was determined... 3). EPB teaching side has a higher demand, 2 10 kW than the EPB office side at 67 kW. After the lights, AHUs and pumps were shut off in the building, a baseload of 100 kW and 25 kW were found for the teaching and office sides respectively...

  11. American Solar Energy Society Proc. ASES Annual Conference, Raleigh, NC, 2011 SHORT-TERM IRRADIANCE VARIABILITY

    E-Print Network [OSTI]

    Perez, Richard R.

    © American Solar Energy Society ­ Proc. ASES Annual Conference, Raleigh, NC, 2011 SHORT, as hypothesized in Hoff and Perez's optimum point. #12;© American Solar Energy Society ­ Proc. ASES Annual is the factor that determines whether the combined relative fluctuations of two solar systems add up when

  12. Short-Term Test Results: Transitional Housing Energy Efficiency Retrofit in the Hot-Humid Climate

    SciTech Connect (OSTI)

    Sutherland, K.; Martin, E.

    2013-02-01T23:59:59.000Z

    This project evaluates the renovation of a 5,800 ft2, multi-use facility located in St. Petersburg, on the west coast of central Florida, in the hot humid climate. An optimal package of retrofit measures was designed to deliver 30-40% annual energy cost savings for this building with annual utility bills exceeding $16,000 and high base load consumption. Researchers projected energy cost savings for potential retrofit measures based on pre-retrofit findings and disaggregated, weather normalized utility bills as a basis for simulation true-up. A cost-benefit analysis was conducted for the seven retrofit measures implemented; adding attic insulation and sealing soffits, tinting windows, improving whole building air-tightness, upgrading heating and cooling systems and retrofitting the air distribution system, replacing water heating systems, retrofitting lighting, and replacing laundry equipment. The projected energy cost savings for the full retrofit package based on a post-retrofit audit is 35%. The building's architectural characteristics, vintage, and residential and commercial uses presented challenges for both economic projections and retrofit measure construction.

  13. Microsoft PowerPoint - Arseneau_EIA_ShortTermDriversofEnergyPrices.ppt [Compatibility Mode]

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,Information Administration390 2.387NASEO 2006/07Summer8

  14. European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. State-of-the-Art on Methods and Software Tools for Short-Term Prediction of Wind Energy Production G. Giebel*, L. Landberg, Risoe National Roskilde, Denmark Abstract: The installed wind energy capacity in Europe today is 20 GW, while

  15. Microsoft Word - STEO supplement non-OPEC supply Final-2.doc

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 1 Short-TermJuly805)09 1 May08

  16. QIP Short Term Course Application of Renewable

    E-Print Network [OSTI]

    Kumar, M. Jagadesh

    QIP Short Term Course on Application of Renewable Energy sources (December 11-17, 2013) Course mitigation and credit · PV modules/arrays · Batteries · Hybrid systems (wind, hydro etc.) · Life cycle cost:gntiwari@ces.iitd.ernet.in Application Form QIP Short-Term Course on Applications of Renewable Energy Sources (December 11-17, 2013) Name

  17. PSTAR: Primary and secondary terms analysis and renormalization: A unified approach to building energy simulations and short-term monitoring: A summary

    SciTech Connect (OSTI)

    Subbarao, K.

    1988-09-01T23:59:59.000Z

    This report summarizes a longer report entitled PSTAR - Primary and Secondary Terms Analysis and Renormalization. A Unified Approach to Building Energy Simulations and Short-Term Monitoring. These reports highlight short-term testing for predicting long-term performance of residential buildings. In the PSTAR method, renormalized parameters are introduced for the primary terms such that the renormalized energy balance equation is best satisfied in the least squares sense; hence, the name PSTAR. Testing and monitoring the energy performance of buildings has several important applications, among them: extrapolation to long-term performance, refinement of design tools through feedback from comparing design versus actual parameters, building-as-a-calorimeter for heating, ventilating, and air conditioning (HVAC) diagnostics, and predictive load control. By combining realistic building models, simple test procedures, and analysis involving linear equations, PSTAR provides a powerful tool for analyzing building energy as well as testing and monitoring. It forms the basis for the Short-Term Energy Monitoring (STEM) project at SERI. 3 figs., 1 tab.

  18. Short-Term Energy Outlook Supplement: Status of Libyan Loading Ports and Oil and Natural Gas Fields

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S. Natural GasquestionnairesquestionnairesGasA.San34

  19. Short-Term Energy Outlook Supplement: 2013 Outlook for Gulf of Mexico Hurricane-Related Production Outages

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule ReleaseEconomicMarket Prices3

  20. Annual Energy Outlook 2012

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

    energy crops, natural gas, coal, extra-heavy oil, bitumen (oil sands), and kerogen (oil shale, not to be confused with shale oiltight oil). Includes both OPEC and non-OPEC...

  1. Short-Termed Integrated Forecasting System: 1993 Model documentation report

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    The purpose of this report is to define the Short-Term Integrated Forecasting System (STIFS) and describe its basic properties. The Energy Information Administration (EIA) of the US Energy Department (DOE) developed the STIFS model to generate short-term (up to 8 quarters), monthly forecasts of US supplies, demands, imports exports, stocks, and prices of various forms of energy. The models that constitute STIFS generate forecasts for a wide range of possible scenarios, including the following ones done routinely on a quarterly basis: A base (mid) world oil price and medium economic growth. A low world oil price and high economic growth. A high world oil price and low economic growth. This report is written for persons who want to know how short-term energy markets forecasts are produced by EIA. The report is intended as a reference document for model analysts, users, and the public.

  2. SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE

    E-Print Network [OSTI]

    Heinemann, Detlev

    SATELLITE BASED SHORT-TERM FORECASTING OF SOLAR IRRADANCE - COMPARISON OF METHODS AND ERROR Forecasting of solar irradiance will become a major issue in the future integration of solar energy resources method was used to derive motion vector fields from two consecutive images. The future image

  3. Understanding the strengths and weaknesses of a new-generation numerical weather prediction model for application to short-term wind energy prediction.

    E-Print Network [OSTI]

    Fowler, Padriac

    2012-01-01T23:59:59.000Z

    ??Wind power is a growing economy and science. It has far reaching consequences in all aspects of society and if goals of energy sustainability and (more)

  4. Electricity storage for short term power system service (Smart...

    Open Energy Info (EERE)

    Electricity storage for short term power system service (Smart Grid Project) Jump to: navigation, search Project Name Electricity storage for short term power system service...

  5. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Southern Study Area

    SciTech Connect (OSTI)

    Freedman, Jeffrey M.; Manobianco, John; Schroeder, John; Ancell, Brian; Brewster, Keith; Basu, Sukanta; Banunarayanan, Venkat; Hodge, Bri-Mathias; Flores, Isabel

    2014-04-30T23:59:59.000Z

    This Final Report presents a comprehensive description, findings, and conclusions for the Wind Forecast Improvement Project (WFIP)--Southern Study Area (SSA) work led by AWS Truepower (AWST). This multi-year effort, sponsored by the Department of Energy (DOE) and National Oceanographic and Atmospheric Administration (NOAA), focused on improving short-term (15-minute 6 hour) wind power production forecasts through the deployment of an enhanced observation network of surface and remote sensing instrumentation and the use of a state-of-the-art forecast modeling system. Key findings from the SSA modeling and forecast effort include: 1. The AWST WFIP modeling system produced an overall 10 20% improvement in wind power production forecasts over the existing Baseline system, especially during the first three forecast hours; 2. Improvements in ramp forecast skill, particularly for larger up and down ramps; 3. The AWST WFIP data denial experiments showed mixed results in the forecasts incorporating the experimental network instrumentation; however, ramp forecasts showed significant benefit from the additional observations, indicating that the enhanced observations were key to the model systems ability to capture phenomena responsible for producing large short-term excursions in power production; 4. The OU CAPS ARPS simulations showed that the additional WFIP instrument data had a small impact on their 3-km forecasts that lasted for the first 5-6 hours, and increasing the vertical model resolution in the boundary layer had a greater impact, also in the first 5 hours; and 5. The TTU simulations were inconclusive as to which assimilation scheme (3DVAR versus EnKF) provided better forecasts, and the additional observations resulted in some improvement to the forecasts in the first 1 3 hours.

  6. Short-term hydroelectric generation model. Model documentation report

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Energy Information Administration`s (EIA) Short-Term Hydroelectric Generation Model (STHGM), describe its basic approach, and to provide details on the model structure. This report is intended as a reference document for model analysts, users, and the general public. Documentation of the model is in accordance with the EIA`s legal obligation to provide adequate documentation in support of its models.

  7. Short-Term Energy Outlook January 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data Either

  8. Short-Term Energy Outlook May 2014

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data EitherMay 2014 1

  9. Semester, Academic Year and Short Term SUNY Programs

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    Semester, Academic Year and Short Term SUNY Programs: Asia #12;1 Table of Contents How to Use Year 10 Japan Short-term 12 Korea Semester & Academic Year 13 Korea Short-term 17 Programs in Other Contact Information 23 How to Use this Booklet This handout contains listings of all the programs offered

  10. Short-term and long-term reliability studies in the deregulated power systems

    E-Print Network [OSTI]

    Li, Yishan

    2006-04-12T23:59:59.000Z

    -term reliability in deregulated power systems. Short-term reliability is for operational purposes and is mainly concerned with security. Thus the way energy is dispatched and the actions the system operator takes to remedy an insecure system state...

  11. Short term forecasting of solar radiation based on satellite data

    E-Print Network [OSTI]

    Heinemann, Detlev

    Short term forecasting of solar radiation based on satellite data Elke Lorenz, Annette Hammer term time range of 30 minutes to 6 hours. As far as short term horizons are concerned, satellite data index images according to the Heliosat method, a semi-empirical methode to derive radiation from

  12. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Italy Semester, Academic Year and Short Term #12;1 Table of Contents How to Use This Booklet 1 A Brief Overview 2 Semester and Academic Year Programs 3 Short Term Programs 8 Contact of programs offered in Italy by SUNY campuses. These listings provide a summary about the basic

  13. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: France Semester, Academic Year and Short Term #12;1 Table of Contents How to Use This Booklet 1 A Brief Overview 2 Semester and Academic Year Programs 3 Short Term Programs 6 SUNY Programs in Canada and other Francophone Locations 9 Recommended non-SUNY Program 11 Contact Information for all SUNY

  14. Short-term CO? abatement in the European power sector

    E-Print Network [OSTI]

    Delarue, Erik D.

    2008-01-01T23:59:59.000Z

    This paper focuses on the possibilities for short term abatement in response to a CO2 price through fuel switching in the European power sector. The model E-Simulate is used to simulate the electricity generation in Europe ...

  15. Vehicle Technologies Office: Short-Term Lightweight Materials Research

    Broader source: Energy.gov [DOE]

    In the short term, replacing heavy steel components with materials such as high-strength steel, aluminum, or glass fiber-reinforced polymer composites can decrease component weight by 10-60 percent.

  16. A model for short term electric load forecasting

    E-Print Network [OSTI]

    Tigue, John Robert

    1975-01-01T23:59:59.000Z

    A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE, III Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree of MASTER OF SCIENCE May 1975 Major... Subject: Electrical Engineering A MODEL FOR SHORT TERM ELECTRIC LOAD FORECASTING A Thesis by JOHN ROBERT TIGUE& III Approved as to style and content by: (Chairman of Committee) (Head Depart t) (Member) ;(Me r (Member) (Member) May 1975 ABSTRACT...

  17. A Dual Algorithm for the Short Term Power Production Planning with Network

    E-Print Network [OSTI]

    , with and without energy losses. In this model the variables are phase voltage angles and active power generated de Ingenier'ia, Montevideo, Uruguay 1 #12; 1 Introduction The demand of electric power in a country in savings of order of a million dollar per year in a medium size utility. Short term planning is performed

  18. Status and evaluation of hybrid electric vehicle batteries for short term applications. Final report

    SciTech Connect (OSTI)

    Himy, A. [Westinghouse Electric Co., Pittsburgh, PA (United States). Machinery Technology Div.

    1995-07-01T23:59:59.000Z

    The objective of this task is to compile information regarding batteries which could be use for electric cars or hybrid vehicles in the short term. More specifically, this study applies lead-acid batteries and nickel-cadmium battery technologies which are more developed than the advanced batteries which are presently being investigated under USABC contracts and therefore more accessible in production efficiency and economies of scale. Moreover, the development of these batteries has advanced the state-of-the-art not only in terms of performance and energy density but also in cost reduction. The survey of lead-acid battery development took the biggest part of the effort, since they are considered more apt to be used in the short-term. Companies pursuing the advancement of lead-acid batteries were not necessarily the major automobile battery manufacturers. Innovation is found more in small or new companies. Other battery systems for short-term are discussed in the last part of this report. We will review the various technologies investigated, their status and prognosis for success in the short term.

  19. Short-term production and synoptic influences on atmospheric 7

    E-Print Network [OSTI]

    Short-term production and synoptic influences on atmospheric 7 Be concentrations Ilya G. Usoskin,1; published 21 March 2009. [1] Variations of the cosmogenic radionuclide 7 Be in the global atmosphere the variations in the 7 Be concentration in the atmosphere for the period from 1 January to 28 February 2005

  20. SHORT-TERM GENERATION ASSET VALUATION: A REAL OPTIONS APPROACH

    E-Print Network [OSTI]

    Tseng, Chung-Li

    using real options to value power plants with unit commitment constraints over a short-term period. We forward-moving Monte Carlo simulation with backward-moving dynamic programming. We assume that the power significantly overvalue a power plant. With deregulation of the electricity industry a global trend, utilities

  1. SUNY Programs: Semester, Academic Year and Short Term

    E-Print Network [OSTI]

    Suzuki, Masatsugu

    SUNY Programs: Spain Semester, Academic Year and Short Term #12;1 Table of Contents How to Use of programs offered in Spain by SUNY campuses. These listings provide a summary about the characteristics by the SUNY campuses in Spain. In addition, there are some excellent programs in Spain outside the SUNY system

  2. ANALYSIS OF SHORT-TERM SOLAR RADIATION DATA Gayathri Vijayakumar

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    ANALYSIS OF SHORT-TERM SOLAR RADIATION DATA Gayathri Vijayakumar Sanford A. Klein William A beckman@engr.wisc.edu ABSTRACT Solar radiation data are available for many locations on an hourly basis annual performance, although solar radiation can exhibit wide variations during an hour. Variations

  3. analyzing short-term noise: Topics by E-print Network

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

    122 Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Environmental Sciences and Ecology Websites Summary: Short term effects of...

  4. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    Measuring Short-term Air Conditioner Demand Reductions forMeasuring Short-term Air Conditioner Demand Reductions forpilots have shown that air conditioner (AC) electric loads

  5. SULFURIC ACID REMOVAL PROCESS EVALUATION: SHORT-TERM RESULTS

    SciTech Connect (OSTI)

    Gary M. Blythe; Richard McMillan

    2002-03-04T23:59:59.000Z

    The objective of this project is to demonstrate the use of alkaline reagents injected into the furnace of coal-fired boilers as a means of controlling sulfuric acid emissions. Sulfuric acid controls are becoming of increasing interest to utilities with coal-fired units for a number of reasons. Sulfuric acid is a Toxic Release Inventory species, a precursor to acid aerosol/condensable emissions, and can cause a variety of plant operation problems such as air heater plugging and fouling, back-end corrosion, and plume opacity. These issues will likely be exacerbated with the retrofit of SCR for NOX control on some coal-fired plants, as SCR catalysts are known to further oxidize a portion of the flue gas SO{sub 2} to SO{sub 3}. The project is testing the effectiveness of furnace injection of four different calcium- and/or magnesium-based alkaline sorbents on full-scale utility boilers. These reagents have been tested during four one- to two-week tests conducted on two FirstEnergy Bruce Mansfield Plant units. One of the sorbents tested was a magnesium hydroxide slurry produced from a wet flue gas desulfurization system waste stream, from a system that employs a Thiosorbic{reg_sign} Lime scrubbing process. The other three sorbents are available commercially and include dolomite, pressure-hydrated dolomitic lime, and commercial magnesium hydroxide. The dolomite reagent was injected as a dry powder through out-of-service burners, while the other three reagents were injected as slurries through air-atomizing nozzles into the front wall of upper furnace, either across from the nose of the furnace or across from the pendant superheater tubes. After completing the four one- to two-week tests, the most promising sorbents were selected for longer-term (approximately 25-day) full-scale tests. The longer-term tests are being conducted to confirm the effectiveness of the sorbents tested over extended operation and to determine balance-of-plant impacts. This reports presents the results of the short-term tests; the long-term test results will be reported in a later document. The short-term test results showed that three of the four reagents tested, dolomite powder, commercial magnesium hydroxide slurry, and byproduct magnesium hydroxide slurry, were able to achieve 90% or greater removal of sulfuric acid compared to baseline levels. The molar ratio of alkali to flue gas sulfuric acid content (under baseline conditions) required to achieve 90% sulfuric acid removal was lowest for the byproduct magnesium hydroxide slurry. However, this result may be confounded because this was the only one of the three slurries tested with injection near the top of the furnace across from the pendant superheater platens. Injection at the higher level was demonstrated to be advantageous for this reagent over injection lower in the furnace, where the other slurries were tested.

  6. SULFURIC ACID REMOVAL PROCESS EVALUATION: SHORT-TERM RESULTS

    SciTech Connect (OSTI)

    Gary M. Blythe; Richard McMillan

    2002-02-04T23:59:59.000Z

    The objective of this project is to demonstrate the use of alkaline reagents injected into the furnace of coal-fired boilers as a means of controlling sulfuric acid emissions. Sulfuric acid controls are becoming of increasing interest to utilities with coal-fired units for a number of reasons. Sulfuric acid is a Toxic Release Inventory species, a precursor to acid aerosol/condensable emissions, and can cause a variety of plant operation problems such as air heater plugging and fouling, back-end corrosion, and plume opacity. These issues will likely be exacerbated with the retrofit of SCR for NO{sub x} control on some coal-fired plants, as SCR catalysts are known to further oxidize a portion of the flue gas SO{sub 2} to SO{sub 3}. The project is testing the effectiveness of furnace injection of four different calcium- and/or magnesium-based alkaline sorbents on full-scale utility boilers. These reagents have been tested during four one- to two-week tests conducted on two First Energy Bruce Mansfield Plant units. One of the sorbents tested was a magnesium hydroxide slurry produced from a wet flue gas desulfurization system waste stream, from a system that employs a Thiosorbic{reg_sign} Lime scrubbing process. The other three sorbents are available commercially and include dolomite, pressure-hydrated dolomitic lime, and commercial magnesium hydroxide. The dolomite reagent was injected as a dry powder through out-of-service burners, while the other three reagents were injected as slurries through air-atomizing nozzles into the front wall of upper furnace, either across from the nose of the furnace or across from the pendant superheater tubes. After completing the four one- to two-week tests, the most promising sorbents were selected for longer-term (approximately 25-day) full-scale tests. The longer-term tests are being conducted to confirm the effectiveness of the sorbents tested over extended operation and to determine balance-of-plant impacts. This reports presents the results of the short-term tests; the long-term test results will be reported in a later document. The short-term test results showed that three of the four reagents tested, dolomite powder, commercial magnesium hydroxide slurry, and byproduct magnesium hydroxide slurry, were able to achieve 90% or greater removal of sulfuric acid compared to baseline levels. The molar ratio of alkali to flue gas sulfuric acid content (under baseline conditions) required to achieve 90% sulfuric acid removal was lowest for the byproduct magnesium hydroxide slurry. However, this result may be confounded because this was the only one of the three slurries tested with injection near the top of the furnace across from the pendant superheater platens. Injection at the higher level was demonstrated to be advantageous for this reagent over injection lower in the furnace, where the other slurries were tested.

  7. Short-term measurements for the determination of envelope retrofit performance

    SciTech Connect (OSTI)

    Subbarao, K.; Mort, D.; Burch, J.

    1985-06-01T23:59:59.000Z

    Short-term monitoring for estimating thermal parameters of a building, along with an analytical technique to (1) determine the long-term performance and (2) calculate the parameters from a building description, has many valuable applications, which include energy ratings, diagnostics, and retrofit analysis. In this paper we address issues relating to reducing uncertainties in estimating thermal parameters with emphasis on retrofit applications. In general, it is necessary to impose a known heat flow with a suitable profile to reliably estimate the parameters. This is demonstrated with test cell measurements taken before and after changes were made to the test cell. The eventual goal of this project is to develop a practical methodology to determine long-term retrofit performance from short-term tests.

  8. The Wind Forecast Improvement Project (WFIP): A Public/Private Partnership for Improving Short Term Wind Energy Forecasts and Quantifying the Benefits of Utility Operations the Northern Study Area.

    SciTech Connect (OSTI)

    Finley, Cathy [WindLogics

    2014-04-30T23:59:59.000Z

    This report contains the results from research aimed at improving short-range (0-6 hour) hub-height wind forecasts in the NOAA weather forecast models through additional data assimilation and model physics improvements for use in wind energy forecasting. Additional meteorological observing platforms including wind profilers, sodars, and surface stations were deployed for this study by NOAA and DOE, and additional meteorological data at or near wind turbine hub height were provided by South Dakota State University and WindLogics/NextEra Energy Resources over a large geographical area in the U.S. Northern Plains for assimilation into NOAA research weather forecast models. The resulting improvements in wind energy forecasts based on the research weather forecast models (with the additional data assimilation and model physics improvements) were examined in many different ways and compared with wind energy forecasts based on the current operational weather forecast models to quantify the forecast improvements important to power grid system operators and wind plant owners/operators participating in energy markets. Two operational weather forecast models (OP_RUC, OP_RAP) and two research weather forecast models (ESRL_RAP, HRRR) were used as the base wind forecasts for generating several different wind power forecasts for the NextEra Energy wind plants in the study area. Power forecasts were generated from the wind forecasts in a variety of ways, from very simple to quite sophisticated, as they might be used by a wide range of both general users and commercial wind energy forecast vendors. The error characteristics of each of these types of forecasts were examined and quantified using bulk error statistics for both the local wind plant and the system aggregate forecasts. The wind power forecast accuracy was also evaluated separately for high-impact wind energy ramp events. The overall bulk error statistics calculated over the first six hours of the forecasts at both the individual wind plant and at the system-wide aggregate level over the one year study period showed that the research weather model-based power forecasts (all types) had lower overall error rates than the current operational weather model-based power forecasts, both at the individual wind plant level and at the system aggregate level. The bulk error statistics of the various model-based power forecasts were also calculated by season and model runtime/forecast hour as power system operations are more sensitive to wind energy forecast errors during certain times of year and certain times of day. The results showed that there were significant differences in seasonal forecast errors between the various model-based power forecasts. The results from the analysis of the various wind power forecast errors by model runtime and forecast hour showed that the forecast errors were largest during the times of day that have increased significance to power system operators (the overnight hours and the morning/evening boundary layer transition periods), but the research weather model-based power forecasts showed improvement over the operational weather model-based power forecasts at these times. A comprehensive analysis of wind energy forecast errors for the various model-based power forecasts was presented for a suite of wind energy ramp definitions. The results compiled over the year-long study period showed that the power forecasts based on the research models (ESRL_RAP, HRRR) more accurately predict wind energy ramp events than the current operational forecast models, both at the system aggregate level and at the local wind plant level. At the system level, the ESRL_RAP-based forecasts most accurately predict both the total number of ramp events and the occurrence of the events themselves, but the HRRR-based forecasts more accurately predict the ramp rate. At the individual site level, the HRRR-based forecasts most accurately predicted the actual ramp occurrence, the total number of ramps and the ramp rates (40-60% improvement in ramp rates over the coarser resolution forecast

  9. Conditional Reliability Modeling of Short-term River Basin Management

    E-Print Network [OSTI]

    Salazar, A.; Wurbs, R. A.

    2003-01-01T23:59:59.000Z

    CONDITIONAL RELIABILITY MODELING OF SHORT-TERM RIVER BASIN MANAGEMENT ASCE Texas Section Spring Meeting 2003 By: A.Andr?s Salazar, Ph.D. Freese and Nichols, Inc. and Ralph A. Wurbs, P.E., Ph.D. Texas A&M University 2 TEXAS WATER AVAILABITY MODEL...-88Year Storage (x 1000 ac-ft) Periods without shortage = 657 out of 672 (97.8%) What is the probability of satisfying demand when reservoir falls below 100,000 ac-ft? 9 CONDITIONAL RELIABILITY Statistical analysis of small sequences. Simulation 1...

  10. Oxygenate Supply/Demand Balances in the Short-Term Integrated Forecasting Model (Released in the STEO March 1998)

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    The blending of oxygenates, such as fuel ethanol and methyl tertiary butyl ether (MTBE), into motor gasoline has increased dramatically in the last few years because of the oxygenated and reformulated gasoline programs. Because of the significant role oxygenates now have in petroleum product markets, the Short-Term Integrated Forecasting System (STIFS) was revised to include supply and demand balances for fuel ethanol and MTBE. The STIFS model is used for producing forecasts in the Short-Term Energy Outlook. A review of the historical data sources and forecasting methodology for oxygenate production, imports, inventories, and demand is presented in this report.

  11. aneurysm repair short-term: Topics by E-print Network

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

    is socially excessive. The empirical analysis shows that the short-term debt to reserves ratio is a robust predictor of -nancial crises, and that greater short-term...

  12. Development of Short-term Demand Forecasting Model Application in Analysis of Resource Adequacy

    E-Print Network [OSTI]

    Development of Short-term Demand Forecasting Model And its Application in Analysis of Resource will present the methodology, testing and results from short-term forecasting model developed by Northwest and applied the short-term forecasting model to Resource Adequacy analysis. These steps are presented below. 1

  13. 1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal Generation Scheduling

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Catlica de Chile)

    long and mid-term models, have been used to optimize the amount of hydro energy to be used during1256 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 4, NOVEMBER 2003 Short-Term Hydrothermal are obtained for each of both hydro and thermal units. Future cost curves of hydro generation, obtained from

  14. Economic Evaluation of Short-Term Wind Power Forecasts in ERCOT: Preliminary Results; Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Hodge, B. M.; Brinkman, G.; Ela, E.; Milligan, M.; Banunarayanan, V.; Nasir, S.; Freedman, J.

    2012-09-01T23:59:59.000Z

    Historically, a number of wind energy integration studies have investigated the value of using day-ahead wind power forecasts for grid operational decisions. These studies have shown that there could be large cost savings gained by grid operators implementing the forecasts in their system operations. To date, none of these studies have investigated the value of shorter-term (0 to 6-hour-ahead) wind power forecasts. In 2010, the Department of Energy and National Oceanic and Atmospheric Administration partnered to fund improvements in short-term wind forecasts and to determine the economic value of these improvements to grid operators, hereafter referred to as the Wind Forecasting Improvement Project (WFIP). In this work, we discuss the preliminary results of the economic benefit analysis portion of the WFIP for the Electric Reliability Council of Texas. The improvements seen in the wind forecasts are examined, then the economic results of a production cost model simulation are analyzed.

  15. Estimating long-term mean winds from short-term wind data

    SciTech Connect (OSTI)

    Barchet, W.R.; Davis, W.E.

    1983-08-01T23:59:59.000Z

    The estimation of long-term mean winds from short-term data is especially important in the area of wind energy. It is desirable to obtain reliable estimates of the long-term wind speed from as short a period of on-site measurements as possible. This study examined seven different methods of estimating the long-term average wind speed and compared the performance of these techniques. Three linear, three weather pattern, and one eigenvector methods were compared for measurement periods ranging from 3 months to 36 months. Average errors, both relative and absolute, and the rms errors in the techniques were determined. The best technique for less than 12 months of measurement was the eigenvector method using weekly mean wind speeds. However, this method was only slightly better than the linear adjusted method. When 12 or more months of data were used, the difference in errors between techniques was found to be slight.

  16. Short-term Wind Power Forecasting Using Advanced Statistical T.S. Nielsen1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Forecasting Using Advanced Statistical Methods T.S. Nielsen1 , H. Madsen1 , H considered in the ANEMOS project for short-term fore- casting of wind power. The total procedure typically in for prediction of wind power or wind speed, estimating the uncertainty of the wind power forecast, and finally

  17. ANN-based Short-Term Load Forecasting in Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    ANN-based Short-Term Load Forecasting in Electricity Markets Hong Chen Claudio A. Ca~nizares Ajit1 Abstract--This paper proposes an Artificial Neu- ral Network (ANN)-based short-term load forecasting, electricity markets, spot prices, Artificial Neural Networks (ANN) I. Introduction Short

  18. Short-Term Generation Asset Valuation Chung-Li Tseng, Graydon Barz

    E-Print Network [OSTI]

    Short-Term Generation Asset Valuation Chung-Li Tseng, Graydon Barz Department of Civil Engineering 94305, USA chungli@eng.umd.edu, gbarz@leland.stanford.edu Abstract In this paper we present a method for valuing a power plant over a short-term period using Monte Carlo sim- ulation. The power plant valuation

  19. Short-term effects of salinity declines on juvenile hard clams, Mercenaria mercenaria.

    E-Print Network [OSTI]

    Florida, University of

    be compounded or mitigated by other factors, such as other environmental conditions or handling effects. #12Short-term effects of salinity declines on juvenile hard clams, Mercenaria mercenaria. Final report to Florida Sea Grant, for a Program Development Award Project title: Short-term effects of rapid salinity

  20. Session: Short-term forecasting of wind power (BT2.5) Track: Technical

    E-Print Network [OSTI]

    Session: Short-term forecasting of wind power (BT2.5) Track: Technical BEST PRACTICE IN THE USE) Armines / Ecole des Mines Short-term forecasting of wind power for about 48 hours in advance is an established technique by now. Any utility getting over a few percent wind power penetration is buying a system

  1. A field study evaluation of short-term refined Gaussian dispersion models

    SciTech Connect (OSTI)

    Piper, A.

    1996-12-31T23:59:59.000Z

    A tracer study was conducted at the Duke Forest Site in Chapel Hill, North Carolina in January, 1995 to evaluate the ability of three short-term refined Gaussian dispersion models to predict the fate of volume source emissions under field study conditions. Study participants included the American Petroleum Institute (API), the US Environmental Protection Agency (EPA), the US Department of Energy (DOE), the University of North Carolina at Chapel Hill (UNC), and private consulting firms. The models evaluated were Industrial Source Complex--Short Term versions 2 and 3 (ISC2, ISC3) and the American Meteorological Society (AMS) Environmental Protection Agency (EPA) Regulatory Model Improvement Committee (AERMIC) model, AERMOD. All three models are based on the steady-state Gaussian plume dispersion equation, which predicts concentrations at downwind receptor locations when integrated over the distance between the source and receptor. Chemicals were released at known rates and measurements were taken at various points in the study field using Tedlar bag point sampling and open-path Fourier Transform infrared (OP-FTIR) monitoring. The study found that ISC and AERMOD underpredicted the measured concentrations for each dataset collected in the field study. ISC and AERMOD each underpredicted the OPFTIR dataset by a factor of approximately 1.6. ISC underpredicted the Tedlar{reg_sign} dataset by approximately 2.1, while AERMOD underpredicted by a factor of approximately 2.6. Regardless of source configuration or measurement technique used, under-prediction with respect to the measured concentration was consistently observed. This indicates that safety factors or other corrections may be necessary in predicting contaminant concentrations over the distances examined in this study, i.e., in the near field of less than 200 meters.

  2. Vehicle Technologies Office: Short-Term Lightweight Materials Research

    Office of Environmental Management (EM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "of EnergyEnergyENERGYWomen Owned SmallOf The 2012Nuclear GuideReport |(GATE) |EnergyDepartment(Advanced

  3. Environmental Studies Short-Term Study Abroad Program

    E-Print Network [OSTI]

    Papautsky, Ian

    GEOG263: People and Environment: Part III: Energy and Mineral Resources GEOG573: The Urban Habitat (3 & Policy EVST/POL602: Global Biodiversity Law & Policy (3 hrs) #12;

  4. Short-Term Effects of Air Pollution on Wheeze in Asthmatic Children in Fresno, California

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    of winter air pollution on respira- tory health of asthmaticChildrens Health Short-Term Effects of Air Pollution onEnvironmental Health Perspectives Effects of air pollution

  5. An Exploration of Participant Motives and Motivational Tensions in Short-Term Medical Service Trips

    E-Print Network [OSTI]

    Sykes, Kevin James

    2014-05-31T23:59:59.000Z

    Short-term medical service trips (MSTs) are an increasingly popular, although not new, way for healthcare providers from high-income countries (HICs) to provide healthcare in low- and middle-income countries (LMICs). In ...

  6. Short-term Migration, Rural Workfare Programs and Urban Labor Markets: Evidence from India

    E-Print Network [OSTI]

    Bandyopadhyay, Antar

    , a simple calibration exercise reveals that small changes in short-term migration can have large impacts of migration in developing countries (Banerjee and Duo, 2007; Badiani and Sar, 2009; Morten, 2012). In 2007

  7. Evaluation of forecasting techniques for short-term demand of air transportation

    E-Print Network [OSTI]

    Wickham, Richard Robert

    1995-01-01T23:59:59.000Z

    Forecasting is arguably the most critical component of airline management. Essentially, airlines forecast demand to plan the supply of services to respond to that demand. Forecasts of short-term demand facilitate tactical ...

  8. Short-term irradiance variability: Preliminary estimation of station pair correlation as a function of distance

    E-Print Network [OSTI]

    Review Short-term irradiance variability: Preliminary estimation of station pair correlation, 2010; SMUD, 2010; IEA, 2010). In a recently published article, Hoff and Perez (2010a,b) advanced

  9. SPE 124332 (revised) Hierarchical Long-Term and Short-Term Production Optimization

    E-Print Network [OSTI]

    Van den Hof, Paul

    . In our study we used a 3-dimensional reservoir in a fluvial depositional environment with a production at maximizing short-term production. The optimal life-cycle waterflooding strategy that includes short

  10. SHORT-TERM FORECASTING OF SOLAR RADIATION BASED ON SATELLITE DATA WITH STATISTICAL METHODS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT-TERM FORECASTING OF SOLAR RADIATION BASED ON SATELLITE DATA WITH STATISTICAL METHODS Annette governing the insolation, forecasting of solar radiation makes the description of development of the cloud

  11. Off-site Lodging (short-term) | Advanced Photon Source

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administration the1 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) forOdds2

  12. Electricity storage for short term power system service (Smart Grid

    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 on Google Bookmark EERE: Alternative Fuels Data Center Home5b9fcbce19 NoPublic Utilities Address:011-DNA Jump37. It is classifiedProject) | Open Energy Information ENS

  13. Characterizing short-term stability for Boolean networks over any distribution of transfer functions

    E-Print Network [OSTI]

    C. Seshadhri; Andrew M. Smith; Yevgeniy Vorobeychik; Jackson Mayo; Robert C. Armstrong

    2014-09-15T23:59:59.000Z

    We present a characterization of short-term stability of random Boolean networks under \\emph{arbitrary} distributions of transfer functions. Given any distribution of transfer functions for a random Boolean network, we present a formula that decides whether short-term chaos (damage spreading) will happen. We provide a formal proof for this formula, and empirically show that its predictions are accurate. Previous work only works for special cases of balanced families. It has been observed that these characterizations fail for unbalanced families, yet such families are widespread in real biological networks.

  14. Managing Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach

    E-Print Network [OSTI]

    Ahmed, Shabbir

    , the price of which follows supply and demand imbalances. Electricity prices, which were tightly controlled that occurred in the Midwest during the week of June 22, 1998, when the day-ahead electricity price departedManaging Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach Samer Takriti

  15. Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including a

    E-Print Network [OSTI]

    Oliveira, Aurélio R. L.

    Primal-Dual Interior Point Method Applied to the Short Term Hydroelectric Scheduling Including that minimizes losses in the transmission and costs in the generation of a hydroelectric power system, formulated such perturbing parameter. Keywords-- Hydroelectric power system, Network flow, Predispatch, Primal-dual interior

  16. Short-term Forecasting of Offshore Wind Farm Production Developments of the Anemos Project

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Forecasting of Offshore Wind Farm Production ­ Developments of the Anemos Project J.a.brownsword@rl.ac.uk 6 Overspeed GmBH & Co.KG, 26129 Oldenburg, Germany Email: h.p.waldl@overspeed.de Key words: Offshore to the large dimensions of offshore wind farms, their electricity production must be known well in advance

  17. Interference of a short-term exposure to nitrogen dioxide with allergic airways responses to allergenic

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Interference of a short-term exposure to nitrogen dioxide with allergic airways responses, 4 (2002) 251-260" DOI : 10.1080/096293502900000113 #12;Abstract Nitrogen dioxide (NO2) is a common and may depend to concentration of pollutant. Keywords: Mouse model of asthma; nitrogen dioxide; air

  18. Ethical Considerations for Short-term Experiences by Trainees in Global Health

    E-Print Network [OSTI]

    Tipple, Brett

    -constrained health care set- tings, trainees from resource-replete environments may have inflated ideas aboutCOMMENTARY Ethical Considerations for Short-term Experiences by Trainees in Global Health John A. Crump, MB, ChB, DTM&H Jeremy Sugarman, MD, MPH, MA A CADEMIC GLOBAL HEALTH PROGRAMS ARE BURGEON- ing.1

  19. SHORT-TERM EFFECTS OF SOIL AMENDMENT WITH TREE LEGUME BIOMASS ON CARBON AND NITROGEN

    E-Print Network [OSTI]

    Lehmann, Johannes

    SHORT-TERM EFFECTS OF SOIL AMENDMENT WITH TREE LEGUME BIOMASS ON CARBON AND NITROGEN IN PARTICLE-to-N ratio of the added plant material seems to control the eects of soil amendment with tree legume biomass to the total quantity of C and N pre- sent. Physical fractionation of SOM can help to identify more active

  20. Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal

    E-Print Network [OSTI]

    Abdel-Aal, Radwan E.

    Short Term Hourly Load Forecasting Using Abductive Networks R. E. Abdel-Aal Center for Applied for this purpose. This paper proposes using the alternative technique of abductive networks, which offers with statistical and empirical models. Using hourly temperature and load data for five years, 24 dedicated models

  1. SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS

    E-Print Network [OSTI]

    Heinemann, Detlev

    SHORT TERM PREDICTIONS FOR THE POWER OUTPUT OF ENSEMBLES OF WIND TURBINES AND PV-GENERATORS Hans. For the conventional power park, the power production of the wind turbines presents a fluctuating 'negative load PRODUCTION OF WIND TURBINES For the forecast of the power production of wind turbines two approaches may

  2. Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric Models

    E-Print Network [OSTI]

    Mesbah, Mounir

    pollution, semi parametric models. 1.1 Introduction Time-series studies of air pollution and health was an overestimation of the eect of air pollution on health. More recently, in a issue of Epidemiology, Ramsay et al1 Longitudinal Analysis of Short term Bronchiolitis Air Pollution Association using Semi Parametric

  3. A Hierarchical Bayesian Model for Improving Short-Term Forecasting of Hospital Demand by Including Meteorological

    E-Print Network [OSTI]

    Sahu, Sujit K

    A Hierarchical Bayesian Model for Improving Short-Term Forecasting of Hospital Demand by Including Sarran4 Abstract The effect of weather on health has been widely researched, and the ability to forecast, better predictions of hospital demand that are more sensitive to fluctuations in weather can allow

  4. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Final Report

    E-Print Network [OSTI]

    Reddy, T. A.; Elleson, J.; Haberl, J. S.

    2000-01-01T23:59:59.000Z

    This is the final report for ASHRAE Research Project 1004-RP: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents the results of the development and application of the methodology to Case Study #2...

  5. Short term effects of moderate carbon prices on land use in the New Zealand emissions trading

    E-Print Network [OSTI]

    Silver, Whendee

    Short term effects of moderate carbon prices on land use in the New Zealand emissions trading Zealand Emissions Trading Scheme (NZ ETS) was introduced through the Climate Change Response Act............................................................................ 14 #12;1 1 Introduction The New Zealand Emissions Trading Scheme (NZ ETS) was legislated through

  6. Long-and Short-Term Climate Influences on Southwestern Shrublands

    E-Print Network [OSTI]

    -New findings raise questions about long and short-term climatic effects on Southwestern shrublands. Millennial encroachment acceler- ated during the 1950's drought, when both winters and summers went dry, and continues, NM. Gen. Tech. Rep. INT-GTR-338. Ogden, UT: u.s. Department of Agriculture, Forest Service

  7. Combination of Long Term and Short Term Forecasts, with Application to Tourism

    E-Print Network [OSTI]

    Abu-Mostafa, Yaser S.

    Combination of Long Term and Short Term Forecasts, with Application to Tourism Demand Forecasting that are combined. As a case study, we consider the problem of forecasting monthly tourism numbers for inbound tourism to Egypt. Specifically, we con- sider 33 source countries, as well as the aggregate. The novel

  8. PRIMARY RESEARCH PAPER Short-term responses of decomposers to flow restoration

    E-Print Network [OSTI]

    LeRoy, Carri J.

    most stream restoration projects, lack pre-restoration data and clearly defined goals, making et al., 2005; Bernhardt et al., 2005). Biotic recovery in response to stream restoration can be rapidPRIMARY RESEARCH PAPER Short-term responses of decomposers to flow restoration in Fossil Creek

  9. Performance and nutrient utilization of steers fed short term reconstituted grains

    E-Print Network [OSTI]

    Simpson, Edward James

    1982-01-01T23:59:59.000Z

    experiment. The ration's were composed on a dry basis of 86X grain and 14X of the same protein supplement used in the feeding experiment. Eight Beefmaster crossbred steers of the same origin and weight as those used in the growth trial were assigned...PERFORMANCE AND NUTRIENT UTILIZATION OF STEERS FED SHORT TERM RECONSTITUTED GRAINS A Thesis by EDWARD JAMES SIMPSON, JR. Submitted to the Graduate College of Texas ASM University in partial fulfillment of the requirement for the degree...

  10. Short term generation scheduling in photovoltaic-utility grid with battery storage

    SciTech Connect (OSTI)

    Marwali, M.K.C.; Ma, H.; Shahidehpour, S.M. [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering] [Illinois Inst. of Tech., Chicago, IL (United States). Dept. of Electrical and Computer Engineering; Abdul-Rahman, K.H. [Siemens Energy and Automation, Brooklyn Park, MN (United States)] [Siemens Energy and Automation, Brooklyn Park, MN (United States)

    1998-08-01T23:59:59.000Z

    This paper presents an efficient approach to short term resource scheduling for an integrated thermal and photovoltaic-battery generation. The proposed model incorporated battery storage for peak load shaving. Several constraints including battery capacity, minimum up/down time and ramp rates for thermal units, as well as natural photovoltaic (PV) capacity are considered in the proposed model. A case study composed of 26 thermal units and a PV-battery plant is presented to test the efficiency of the method.

  11. Ramp Forecasting Performance from Improved Short-Term Wind Power Forecasting: Preprint

    SciTech Connect (OSTI)

    Zhang, J.; Florita, A.; Hodge, B. M.; Freedman, J.

    2014-05-01T23:59:59.000Z

    The variable and uncertain nature of wind generation presents a new concern to power system operators. One of the biggest concerns associated with integrating a large amount of wind power into the grid is the ability to handle large ramps in wind power output. Large ramps can significantly influence system economics and reliability, on which power system operators place primary emphasis. The Wind Forecasting Improvement Project (WFIP) was performed to improve wind power forecasts and determine the value of these improvements to grid operators. This paper evaluates the performance of improved short-term wind power ramp forecasting. The study is performed for the Electric Reliability Council of Texas (ERCOT) by comparing the experimental WFIP forecast to the current short-term wind power forecast (STWPF). Four types of significant wind power ramps are employed in the study; these are based on the power change magnitude, direction, and duration. The swinging door algorithm is adopted to extract ramp events from actual and forecasted wind power time series. The results show that the experimental short-term wind power forecasts improve the accuracy of the wind power ramp forecasting, especially during the summer.

  12. Short-term Wind Power Prediction for Offshore Wind Farms -Evaluation of Fuzzy-Neural Network Based Models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term Wind Power Prediction for Offshore Wind Farms - Evaluation of Fuzzy-Neural Network Based of wind power capacities are likely to take place offshore. As for onshore wind parks, short-term wind of offshore farms and their secure integration to the grid. Modeling the behavior of large wind farms

  13. ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    ORIGINAL PAPER Short-term effect of tillage intensity on N2O and CO2 emissions Pascal Boeckx negative to positive. We studied the short-term effect of tillage intensity on N2O and CO2 emissions. We site, an intermediately aerated Luvisol in Belgium, were similar. Nitrous oxide and CO2 emissions were

  14. Effects of various uranium leaching procedures on soil: Short-term vegetation growth and physiology. Progress report, April 1994

    SciTech Connect (OSTI)

    Edwards, N.T.

    1994-08-01T23:59:59.000Z

    Significant volumes of soil containing elevated levels of uranium exist in the eastern United States. The contamination resulted from the development of the nuclear industry in the United States requiring a large variety of uranium products. The contaminated soil poses a collection and disposal problem of a magnitude that justifies the development of decontamination methods. Consequently, the Department of Energy (DOE) Office of Technology Development formed the Uranium Soils Integrated Demonstration (USID) program to address the problem. The fundamental goal of the USID task group has been the selective extraction/leaching or removal of uranium from soil faster, cheaper, and safer than what can be done using current conventional technologies. The objective is to selectively remove uranium from soil without seriously degrading the soil`s physicochemical characteristics and without generating waste that is difficult to manage and/or dispose of. However, procedures developed for removing uranium from contaminated soil have involved harsh chemical treatments that affect the physicochemical properties of the soil. The questions are (1) are the changes in soil properties severe enough to destroy the soil`s capacity to support and sustain vegetation growth and survival? and (2) what amendments might be made to the leached soil to return it to a reasonable vegetation production capacity? This study examines the vegetation-support capacity of soil that had been chemically leached to remove uranium. The approach is to conduct short-term germination and phytotoxicity tests for evaluating soils after they are subjected to various leaching procedures followed by longer term pot studies on successfully leached soils that show the greatest capacity to support plant growth. This report details the results from germination and short-term phytotoxicity testing of soils that underwent a variety of leaching procedures at the bench scale at ORNL and at the pilot plant at Fernald.

  15. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data Either scripts

  16. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data Either scripts1 :

  17. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data Either scripts1

  18. Short-Term Energy Outlook - U.S. Energy Information Administration (EIA)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data Either scripts12

  19. Non-OPEC oil supply continues to grow

    SciTech Connect (OSTI)

    Knapp, D.H. [International Energy Agency, Paris (France)

    1995-12-25T23:59:59.000Z

    Global reserves of crude oil remain at 1 trillion bbl, according to OGJ`s annual survey of producing countries. Significant gains are in Brazil, Colombia, Congo, Egypt, Libya, Nigeria, Oman, and Papua New Guinea. Decreases were reported by Indonesia, Norway, the U.K., Iran, Canada, Mexico, and the US. Natural gas reserves slipped to 4.9 quadrillion cu ft. The major production trend is a lasting surge from outside of OPEC. This year`s Worldwide Production report begins with a detailed analysis of this crucial development by an international authority. This article discusses the OECD outlook by region and the turnaround in production in the former Soviet Union.

  20. Research on Short-term Load Forecasting of the Thermoelectric Boiler Based on a Dynamic RBF Neural Network

    E-Print Network [OSTI]

    Dai, W.; Zou, P.; Yan, C.

    2006-01-01T23:59:59.000Z

    As thermal inertia is the key factor for the lag of thermoelectric utility regulation, it becomes very important to forecast its short-term load according to running parameters. In this paper, dynamic radial basis function (RBF) neural network...

  1. Using futures prices to filter short-term volatility and recover a latent, long-term price series for oil

    E-Print Network [OSTI]

    Herce, Miguel Angel

    2006-01-01T23:59:59.000Z

    Oil prices are very volatile. But much of this volatility seems to reflect short-term,transitory factors that may have little or no influence on the price in the long run. Many major investment decisions should be guided ...

  2. The short-term effects of two chaining treatments on populations of Tabanus abactor Philip (Diptera: Tabanidae)

    E-Print Network [OSTI]

    Holmes, Steven Paul

    1998-01-01T23:59:59.000Z

    THE SHORT-TERM EFFECTS OF TWO CHAINING TREATMENTS ON POPULATIONS OF Tabanus abactor Philip (DIPTERA: TABANIDAE) A Thesis by STEVEN PAUL HOLMES Submitted to the Office of Graduate Studies of Texas AkM University in partial fulfillment... of the requirements For the degree of MASTER OF SCIENCE May 1998 Major Subject: Entomology THE SHORT-TERM EFFECTS OF TWO CHAINING TREATMENTS ON POPULATIONS OF Tabaaas abacrar Philip HIIPTERAt TABANIDAE) A Thesis STEVEN PAUL HOLMES Submitted to Texas Adt...

  3. Short term effects of commercial polychlorinated biphenyl (PCB) mixtures and individual PCB congeners in female Sprague-Dawley rats

    E-Print Network [OSTI]

    Chen, Yu-Chyu

    1992-01-01T23:59:59.000Z

    SHORT TERM EFFECTS OF COMMERCIAL POLYCHLORINATED BIPHENYL (PCB) MIXTURFS AND INDIVIDUAL PCB CONGENERS IN FEMALE SPRAGUE-DAWLEY RATS A Thesis by YU-CHYU CHEN Submitted to the Office of Graduate Studies of Texas A&M University in partial... fulfillment of the requirements for the degree of MASTER OF SCIENCE December 1992 Major subject: Toxicology SHORT TERM EFFECTS OF COMMERCIAL POLYCHLORINATED BIPHENYL (PCB) MIXTURES AND INDIVIDUAL PCB CONGENERS IN FEMALE SPRAGUE-DAWLEY RATS A Thesis...

  4. EVALUATING SHORT-TERM CLIMATE VARIABILITY IN THE LATE HOLOCENE OF THE NORTHERN GREAT PLAINS

    SciTech Connect (OSTI)

    Joseph H. Hartman

    1999-09-01T23:59:59.000Z

    This literature study investigated methods and areas to deduce climate change and climate patterns, looking for short-term cycle phenomena and the means to interpret them. Many groups are actively engaged in intensive climate-related research. Ongoing research might be (overly) simplified into three categories: (1) historic data on weather that can be used for trend analysis and modeling; (2) detailed geological, biological (subfossil), and analytical (geochemical, radiocarbon, etc.) studies covering the last 10,000 years (about since last glaciation); and (3) geological, paleontological, and analytical (geochemical, radiometric, etc.) studies over millions of years. Of importance is our ultimate ability to join these various lines of inquiry into an effective means of interpretation. At this point, the process of integration is fraught with methodological troubles and misconceptions about what each group can contribute. This project has met its goals to the extent that it provided an opportunity to study resource materials and consider options for future effort toward the goal of understanding the natural climate variation that has shaped our current civilization. A further outcome of this project is a proposed methodology based on ''climate sections'' that provides spatial and temporal correlation within a region. The method would integrate cultural and climate data to establish the climate history of a region with increasing accuracy with progressive study and scientific advancement (e. g., better integration of regional and global models). The goal of this project is to better understand natural climatic variations in the recent past (last 5000 years). The information generated by this work is intended to provide better context within which to examine global climate change. The ongoing project will help to establish a basis upon which to interpret late Holocene short-term climate variability as evidenced in various studies in the northern Great Plains, northern hemisphere, and elsewhere. Finally these data can be integrated into a history of climate change and predictive climate models. This is not a small undertaking. The goals of researchers and the methods used vary considerably. The primary task of this project was literature research to (1) evaluate existing methodologies used in geologic climate change studies and evidence for short-term cycles produced by these methodologies and (2) evaluate late Holocene climate patterns and their interpretations.

  5. Short-term Variations in the Galactic Environment of the Sun

    E-Print Network [OSTI]

    Priscilla C. Frisch; Jonathan D. Slavin

    2006-01-17T23:59:59.000Z

    The galactic environment of the Sun varies over short timescales as the Sun and interstellar clouds travel through space. Small variations in the dynamics, ionization, density, and magnetic field strength of the interstellar medium (ISM) surrounding the Sun yield pronounced changes in the heliosphere. We discuss essential information required to understand short-term variations in the galactic environment of the Sun, including the distribution and radiative transfer properties of nearby ISM, and variations in the boundary conditions of the heliosphere as the Sun traverses clouds. The most predictable transitions are when the Sun emerged from the Local Bubble interior and entered the cluster of local interstellar clouds flowing past the Sun, within the past 140,000 years, and again when the Sun entered the local interstellar cloud now surrounding and inside of the solar system, sometime during the past 44,000 years.

  6. Application of Ensemble Sensitivity Analysis to Observation Targeting for Short-term Wind Speed Forecasting

    SciTech Connect (OSTI)

    Zack, J; Natenberg, E; Young, S; Manobianco, J; Kamath, C

    2010-02-21T23:59:59.000Z

    The operators of electrical grids, sometimes referred to as Balancing Authorities (BA), typically make critical decisions on how to most reliably and economically balance electrical load and generation in time frames ranging from a few minutes to six hours ahead. At higher levels of wind power generation, there is an increasing need to improve the accuracy of 0- to 6-hour ahead wind power forecasts. Forecasts on this time scale have typically been strongly dependent on short-term trends indicated by the time series of power production and meteorological data from a wind farm. Additional input information is often available from the output of Numerical Weather Prediction (NWP) models and occasionally from off-site meteorological towers in the region surrounding the wind generation facility. A widely proposed approach to improve short-term forecasts is the deployment of off-site meteorological towers at locations upstream from the wind generation facility in order to sense approaching wind perturbations. While conceptually appealing, it turns out that, in practice, it is often very difficult to derive significant benefit in forecast performance from this approach. The difficulty is rooted in the fact that the type, scale, and amplitude of the processes controlling wind variability at a site change from day to day if not from hour to hour. Thus, a location that provides some useful forecast information for one time may not be a useful predictor a few hours later. Indeed, some processes that cause significant changes in wind power production operate predominantly in the vertical direction and thus cannot be monitored by employing a network of sensors at off-site locations. Hence, it is very challenging to determine the type of sensors and deployment locations to get the most benefit for a specific short-term forecast application. Two tools recently developed in the meteorological research community have the potential to help determine the locations and parameters to measure in order to get the maximum positive impact on forecast performance for a particular site and short-term look-ahead period. Both tools rely on the use of NWP models to assess the sensitivity of a forecast for a particular location to measurements made at a prior time (i.e. the look-ahead period) at points surrounding the target location. The fundamental hypothesis is that points and variables with high sensitivity are good candidates for measurements since information at those points are likely to have the most impact on the forecast for the desired parameter, location and look-ahead period. One approach is called the adjoint method (Errico and Vukicevic, 1992; Errico, 1997) and the other newer approach is known as Ensemble Sensitivity Analysis (ESA; Ancell and Hakim 2007; Torn and Hakim 2008). Both approaches have been tested on large-scale atmospheric prediction problems (e.g. forecasting pressure or precipitation over a relatively large region 24 hours ahead) but neither has been applied to mesoscale space-time scales of winds or any other variables near the surface of the earth. A number of factors suggest that ESA is better suited for short-term wind forecasting applications. One of the most significant advantages of this approach is that it is not necessary to linearize the mathematical representation of the processes in the underlying atmospheric model as required by the adjoint approach. Such a linearization may be especially problematic for the application of short-term forecasting of boundary layer winds in complex terrain since non-linear shifts in the structure of boundary layer due to atmospheric stability changes are a critical part of the wind power production forecast problem. The specific objective of work described in this paper is to test the ESA as a tool to identify measurement locations and variables that have the greatest positive impact on the accuracy of wind forecasts in the 0- to 6-hour look-ahead periods for the wind generation area of California's Tehachapi Pass during the warm (high generation) season. The paper is organized

  7. Winchester/Camberley Homes New Construction Test House Design, Construction, and Short-Term Testing in a Mixed-Humid Climate

    SciTech Connect (OSTI)

    Mallav, D.; Wiehagen, J.; Wood, A.

    2012-10-01T23:59:59.000Z

    The NAHB Research Center partnered with production builder Winchester/Camberley Homes to build a DOE Building America New Construction Test House (NCTH). This single family, detached house, located in the mixed-humid climate zone of Silver Spring, MD, was completed in June 2011. The primary goal for this house was to improve energy efficiency by 30% over the Building America B10 benchmark by developing and implementing an optimized energy solutions package design that could be cost effectively and reliably constructed on a production basis using quality management practices. The intent of this report is to outline the features of this house, discuss the implementation of the energy efficient design, and report on short-term testing results. During the interactive design process of this project, numerous iterations of the framing, air sealing, insulation, and space conditioning systems were evaluated for energy performance, cost, and practical implementation. The final design featured numerous advanced framing techniques, high levels of insulation, and the HVAC system entirely within conditioned space. Short-term testing confirmed a very tight thermal envelope and efficient and effective heating and cooling. In addition, relevant heating, cooling, humidity, energy, and wall cavity moisture data will be collected and presented in a future long-term report.

  8. A Calibration Methodology for Retrofit Projects Using Short-Term Monitoring and Disaggregated Energy Use Data

    E-Print Network [OSTI]

    Soebarto, V. I.; Degelman, L. O.

    1996-01-01T23:59:59.000Z

    , ventilation, fan motors, and domestic hot water heating. To de- termine the lighting and receptacle loads, the obser- vations were conducted during the day and night. This included counting the number of f~tures and equipment that were on or off during...

  9. Session 4: "Short-Term Energy Prices - What Drivers Matter Most?"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data 2010Feet)PercentCoal1.ReportEnwgy1:4:

  10. Short-Term Energy Outlook Supplement: Summer 2013 Outlook for Residential Electric Bills

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data EitherMay 2014

  11. Short-Term Energy Outlook Supplement: Weather Sensitivity in Natural Gas Markets

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data EitherMay

  12. Buildings in a Test Tube: Validation of the Short-Term Energy Monitoring (STEM) Method (Preprint)

    SciTech Connect (OSTI)

    Judkoff, R.; Balcomb, J.D. (National Renewable Energy Laboratory); Barker, G.; Hancock, E. (Mountain Energy Partnership); Subbarao, K.

    2001-02-26T23:59:59.000Z

    This paper is extracted from a full-length technical report that presents a detailed analysis of the differences in thermal performance between the SIP and frame units and describes the validation of the STEM method.

  13. Daily/Hourly Hydrosystem Operation : How the Columbia River System Responds to Short-Term Needs.

    SciTech Connect (OSTI)

    Columbia River System Operation Review (U.S.)

    1994-02-01T23:59:59.000Z

    The System Operation Review, being conducted by the Bonneville Power Administration, the US Army Corps of Engineers, and the US Bureau of Reclamation, is analyzing current and potential future operations of the Columbia River System. One goal of the System Operations Review is to develop a new System Operation Strategy. The strategy will be designed to balance the many regionally and nationally important uses of the Columbia River system. Short-term operations address the dynamics that affect the Northwest hydro system and its multiple uses. Demands for electrical power and natural streamflows change constantly and thus are not precisely predictable. Other uses of the hydro system have constantly changing needs, too, many of which can interfere with other uses. Project operators must address various river needs, physical limitations, weather, and streamflow conditions while maintaining the stability of the electric system and keeping your lights on. It takes staffing around the clock to manage the hour-to-hour changes that occur and the challenges that face project operators all the time.

  14. Comparison of observed and predicted short-term tracer gas concentrations in the atmosphere

    SciTech Connect (OSTI)

    Cotter, S.J.; Miller, C.W.; Lin, W.C.T.

    1985-01-01T23:59:59.000Z

    The Savannah River Laboratory is in the process of conducting a series of atmospheric tracer studies. The inert gas sulfurhexafluoride is released from a height of 62 m for 15 min and concentrations in air are measured on sampling arcs up to 30 km downwind of the release point. Maximum 15 min. air concentrations from 14 of these tracer tests have been compared with the ground-level, centerline air concentration predicted with a Gaussian plume atmospheric transport model using eight different sets of atmospheric dispersion parameters. Preliminary analysis of the results from these comparisons indicates that the dispersion parameters developed at Juelich, West Germany, based on tracers released from a height of 50 m, give the best overall agreement between the predicted and observed values. The median value of the ratio of predicted to observed air concentrations for this set of parameters is 1.3, and the correlation coefficient between the log of the predictions and the log of the observations is 0.72. For the commonly used Pasquill-Gifford dispersion parameters, the values of these same statistics are 4.4 and 0.68, respectively. The Gaussian plume model is widely used to predict air concentrations resulting from short-term radionuclide release to the atmosphere. The results of comparisons such as these must be considered whenever the Gaussian model is used for such purposes. 22 references, 3 tables.

  15. Short-term and creep shear characteristics of a needlepunched thermally locked geosynthetic clay liner

    SciTech Connect (OSTI)

    Siebken, J.R. [National Seal Co., Galesburg, IL (United States). Technical Services; Swan, R.H. Jr.; Yuan, Z. [GeoSyntec Consultants, Atlanta, GA (United States). Soil-Geosynthetic Interaction Testing Lab.

    1997-11-01T23:59:59.000Z

    A series of constant-rate direct shear tests were conducted on a needlepunched thermally locked geosynthetic clay liner (GCL) in accordance with ASTM Test Method for Determining the Coefficient of Soil and Geosynthetic or Geosynthetic and Geosynthetic Friction by the Direct Shear Method (D 5321). The test results demonstrate that the needlepunched thermally locked reinforcing fibers provide substantial short-term shear strength to a GCL. However, there is a growing concern that the long-term shear strength to a GCL. However, there is a growing concern that the long-term shear strength of this type of GCL can be affected due to the potential of creep within the reinforcing fibers under sustained constant loads which occur in the field. An attempt was made to address this concern through an incrementally-loaded creep shear test conducted in a newly developed constant-load (creep) shear testing device. The results of the creep shear test to date show that the GCL has undergone relatively small shear displacements with incremental shear rates decreasing with time within each loading phase.

  16. Assumptions to the Annual Energy Outlook 2013

    Gasoline and Diesel Fuel Update (EIA)

    Key assumptions The level of oil production by OPEC is a key factor influencing the oil price projections incorporated into AEO2013. Non-OPEC production, worldwide regional...

  17. Comparative effects of sodium channel blockers in short term rat whole embryo culture

    SciTech Connect (OSTI)

    Nilsson, Mats F, E-mail: Mats.Nilsson@farmbio.uu.se [Department of Pharmaceutical Biosciences, Uppsala University (Sweden); Skld, Anna-Carin; Ericson, Ann-Christin; Annas, Anita; Villar, Rodrigo Palma [AstraZeneca R and D Sdertlje (Sweden); Cebers, Gvido [AstraZeneca R and D, iMed, 141 Portland Street, Cambridge, MA 02139 (United States); Hellmold, Heike; Gustafson, Anne-Lee [AstraZeneca R and D Sdertlje (Sweden); Webster, William S [Department of Anatomy and Histology, University of Sydney (Australia)

    2013-10-15T23:59:59.000Z

    This study was undertaken to examine the effect on the rat embryonic heart of two experimental drugs (AZA and AZB) which are known to block the sodium channel Nav1.5, the hERG potassium channel and the L-type calcium channel. The sodium channel blockers bupivacaine, lidocaine, and the L-type calcium channel blocker nifedipine were used as reference substances. The experimental model was the gestational day (GD) 13 rat embryo cultured in vitro. In this model the embryonic heart activity can be directly observed, recorded and analyzed using computer assisted image analysis as it responds to the addition of test drugs. The effect on the heart was studied for a range of concentrations and for a duration up to 3 h. The results showed that AZA and AZB caused a concentration-dependent bradycardia of the embryonic heart and at high concentrations heart block. These effects were reversible on washout. In terms of potency to cause bradycardia the compounds were ranked AZB > bupivacaine > AZA > lidocaine > nifedipine. Comparison with results from previous studies with more specific ion channel blockers suggests that the primary effect of AZA and AZB was sodium channel blockage. The study shows that the short-term rat whole embryo culture (WEC) is a suitable system to detect substances hazardous to the embryonic heart. - Highlights: Study of the effect of sodium channel blocking drugs on embryonic heart function We used a modified method rat whole embryo culture with image analysis. The drugs tested caused a concentration dependent bradycardia and heart block. The effect of drugs acting on multiple ion channels is difficult to predict. This method may be used to detect cardiotoxicity in prenatal development.

  18. Seismic Activity of the Earth, the Cosmological Vectorial Potential And Method of a Short-term Earthquakes Forecasting

    E-Print Network [OSTI]

    Yu. A. Baurov; Yu. A. Baurov; Yu. A. Baurov Jr.; A. A. Spitalnaya; A. A. Abramyan; V. A. Solodovnikov

    2008-08-20T23:59:59.000Z

    To the foundation of a principally new short-term forecasting method there has been laid down a theory of surrounding us world's creation and of physical vacuum as a result of interaction of byuons - discrete objects. The definition of the byuon contains the cosmological vector-potential A_g - a novel fundamental vector constant. This theory predicts a new anisotropic interaction of nature objects with the physical vacuum. A peculiar "tap" to gain new energy (giving rise to an earthquake) are elementary particles because their masses are proportional to the modulus of some summary potential A_sum that contains potentials of all known fields. The value of A_sum cannot be larger than the modulus of A_g. In accordance with the experimental results a new force associated with A_sum ejects substance from the area of the weakened A_sum along a conical formation with the opening of 100 +- 10 and the axis directed along the vector A_sum. This vector has the following coordinates in the second equatorial coordinate system: right ascension alpha = 293 +- 10, declination delta = 36 +- 10. Nearly 100% probability of an earthquake (earthquakes of 6 points strong and more by the Richter scale) arises when in the process of the earth rotation the zenith vector of a seismically dangerous region and/or the vectorial potential of Earth's magnetic fields are in a certain way oriented relative to the vector A_g. In the work, basic models and standard mechanisms of earthquakes are briefly considered, results of processing of information on the earthquakes in the context of global spatial anisotropy caused by the existence of the vector A_g, are presented, and an analysis of them is given.

  19. Short-term effects of oestradiol, T3 or insulin infusions on plasma concentrations and estimated hepatic balances

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Short-term effects of oestradiol, T3 or insulin infusions on plasma concentrations and estimated infusions on interme- diary and hepatic metabolism were studied in 4 preruminant male calves fed milk replac/kg BW), infused during the first h after feeding. Metabolite concentrations were determined

  20. Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets in gcc

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

  1. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    and evaluation of renewable energy policies, is an advisorevaluation of renewable energy policies,and on the costs,provides policy analysis on renewable energy in the United

  2. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    design and evaluation of renewable energy policies, is anreport, Na- tional Renewable Energy Laboratory, Golden, CO,applications, National Renewable Energy Laboratory, Golden,

  3. Selling Random Energy

    E-Print Network [OSTI]

    Bitar, Eilyan Yamen

    2011-01-01T23:59:59.000Z

    generation in short term energy markets, IEEE Trans. Powerentity into a forward energy market. For my Family, Tony,into a forward energy market. Assuming that coalitional

  4. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    wind energy in studies that were often based on scaling the output of single wind turbinesturbine [3][10]. A large body of experience with and analysis of wind energy

  5. alleviates short-term cyclosporin: Topics by E-print Network

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

    response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead energy markets....

  6. allergen-dose short-term experimental: Topics by E-print Network

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

    response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead energy markets....

  7. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    research area includes the economics of distributed photovoltaic systems, the integration of large-scale renewable energy projects into the electric power

  8. Integrating short-term demand response into long-term investment planning

    E-Print Network [OSTI]

    De Jonghe, Cedric; Hobbs, Benjamin F.; Belmans, Ronnie

    2011-03-20T23:59:59.000Z

    in the storage reservoir in hour j [MWh] storedj Amount of energy in the storage reservoir at the end of hour j [MWh] sgj Amount of energy generated from the storage reservoir in hour j [MWh] wcap Level of installed wind power capacity [MW] wcurtj Wind...

  9. Modular High-Temperature Gas-Cooled Reactor short term thermal response to flow and reactivity transients

    SciTech Connect (OSTI)

    Cleveland, J.C.

    1988-01-01T23:59:59.000Z

    The analyses reported here have been conducted at the Oak Ridge National Laboratory (ORNL) for the US Nuclear Regulatory Commission's (NRC's) Division of Regulatory Applications of the Office of Nuclear Regulatory Research. The short-term thermal response of the Modular High-Temperature Gas-Cooled Reactor (MHTGR) is analyzed for a range of flow and reactivity transients. These include loss of forced circulation (LOFC) without scram, moisture ingress, spurious withdrawal of a control rod group, hypothetical large and rapid positive reactivity insertion, and a rapid core cooling event. The coupled heat transfer-neutron kinetics model is also described.

  10. International LNG trade : the emergence of a short-term market

    E-Print Network [OSTI]

    Athanasopoulos, Panagiotis G

    2006-01-01T23:59:59.000Z

    Natural gas is estimated to be the fastest growing component of world primary energy consumption. Liquefied natural gas (LNG) supply chain is a way of transporting natural gas over seas, by following a procedure of gas ...

  11. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    2010. Quantifying PV power output variability. Solar EnergyOutput power correlation between adjacent wind power plants. Journal of Solarpower system demonstrate that scaling the output from an individual solar

  12. ShortPK: A Short-Term Public Key Scheme for Broadcast Authentication in Sensor Networks

    E-Print Network [OSTI]

    Du, Wenliang "Kevin"

    on energy consumption. Categories and Subject Descriptors: C.2.1 [Computer-Communication Networks]: Network Engineering Building II, North Carolina State University, Raleigh, NC 27695; email: pning Wang, Wenliang Du, Xiaogang Liu Syracuse University and Peng Ning North Carolina State University

  13. Prediction of short-term and long-term VOC emissions from SBR bitumen-backed carpet under different temperatures

    SciTech Connect (OSTI)

    Yang, S.; Chen, Q. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Building Technology Program; Bluyssen, P.M. [TNO Building and Construction Research, Delft (Netherlands)

    1998-12-31T23:59:59.000Z

    This paper presents two models for volatile organic compound (VOC) emissions from carpet. One is a numerical model using the computational fluid dynamics (CFD) technique for short-term predictions, the other an analytical model for long-term predictions. The numerical model can (1) deal with carpets that are not new, (2) calculate the time-dependent VOC distributions in a test chamber or room, and (3) consider the temperature effect on VOC emissions. Based on small-scale chamber data, both models were used to examine the VOC emissions under different temperatures from polypropene styrene-butadiene rubber (SBR) bitumen-backed carpet. The short-term predictions show that the VOC emissions under different temperatures can be modeled solely by changing the carpet diffusion coefficients. A formulation of the Arrhenius relation was used to correlate the dependence of carpet diffusion coefficient with temperature. The long-term predictions show that it would take several years to bake out the VOCs, and temperature would have a major impact on the bake-out time.

  14. Risk management considerations for seismic upgrading of an older facility for short-term residue stabilization

    SciTech Connect (OSTI)

    Additon, S.L.; Peregoy, W.L. [TENERA Rocky Flats, LLC, Golden, CO (United States); Foppe, T.L. [Foppe and Associates, Inc., Golden, CO (United States)

    1999-06-01T23:59:59.000Z

    Building 707 and its addition, Building 707A, were selected, after the production mission of Rocky Flats was terminated a few years ago, to stabilize many of the plutonium residues remaining at the site by 2002. The facility had undergone substantial safety improvements to its safety systems and conduct of operations for resumption of plutonium operations in the early 1990s and appeared ideally suited for this new mission to support accelerated Site closure. During development of a new authorization basis, a seismic evaluation was performed. This evaluation addressed an unanalyzed expansion joint and suspect connection details for the precast concrete tilt-up construction and concluded that the seismic capacity of the facility is less than half of that determined by previous analysis. Further, potential seismic interaction was identified between a collapsing Building 707 and the seismically upgraded Building 707A, possibly causing the partial collapse of the latter. Both the operating contractor and the Department of Energy sought a sound technical basis for deciding how to proceed. This paper addresses the risks of the as-is facility and possible benefits of upgrades to support a decision on whether to upgrade the seismic capacity of Building 707, accept the risk of the as-is facility for its short remaining mission, or relocate critical stabilization missions. The paper also addresses the Department of Energy`s policy on natural phenomena.

  15. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests; Literature Review and Site Selection, Nov. 1997 (Revised Feb. 1998)

    E-Print Network [OSTI]

    Haberl, J. S.; Claridge, D. E.; Reddy, T. A.; Elleson, J.

    1997-01-01T23:59:59.000Z

    This is the preliminary report contains the literature review and site selection recommendations for ASHRAE Research Project RP 1004 "Determining Long-term Performance of Cool Storage Systems From Short-term Tests"....

  16. OFermilab OFF-SITE SHORT-TERM HOUSING-2013--2014 Housing Office/Aspen East

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas Conchas recoveryLaboratory | NationalJohnSecurityControls |NavyNuclearLifeOFermilab OFF-SITE

  17. Short-Term Arctic Cloud Statistics at NSA from the Infrared Cloud Imager

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2)Sharing Smart GridShift End Shift End A shiftDecember

  18. Short-Term Oxidation Studies on Nicrofer- 6025HT in Air at Elevated

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2)Sharing Smart GridShift End Shift End ASupplement: Weather3

  19. Short-term Human Vision Protection from Intense Light Sources | Princeton

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmosphericNuclear Security Administrationcontroller systemsBi (2)Sharing Smart GridShift End Shift End ASupplement:Plasma

  20. New policy imperatives for energy producers

    SciTech Connect (OSTI)

    El Mallakh, R.; El Mallakh, D.H. (eds.)

    1980-01-01T23:59:59.000Z

    Conferences sponsored by the International Research Center for Energy and Economic Development are organized toward increasing the understanding of the multifaceted problems in energy - economic, technical, and political - that confront not just the consuming industrial powers but the developing OPEC and non-OPEC producers and, in particular, the Third World countries whose plight is extreme. All types were represented at this 6th conference, and the 21 papers mirror the diversity of ideas and, at the same time, the very real areas where cooperation and coordination are clearly both possible and desirable. A separate abstract was prepared for each paper for Energy Abstracts for Policy Analysis (EAPA); one abstract was selected for Energy Research Abstracts (ERA).

  1. Enhanced Short-Term Wind Power Forecasting and Value to Grid Operations: Preprint

    SciTech Connect (OSTI)

    Orwig, K.; Clark, C.; Cline, J.; Benjamin, S.; Wilczak, J.; Marquis, M.; Finley, C.; Stern, A.; Freedman, J.

    2012-09-01T23:59:59.000Z

    The current state of the art of wind power forecasting in the 0- to 6-hour time frame has levels of uncertainty that are adding increased costs and risk on the U.S. electrical grid. It is widely recognized within the electrical grid community that improvements to these forecasts could greatly reduce the costs and risks associated with integrating higher penetrations of wind energy. The U.S. Department of Energy has sponsored a research campaign in partnership with the National Oceanic and Atmospheric Administration (NOAA) and private industry to foster improvements in wind power forecasting. The research campaign involves a three-pronged approach: 1) a 1-year field measurement campaign within two regions; 2) enhancement of NOAA's experimental 3-km High-Resolution Rapid Refresh (HRRR) model by assimilating the data from the field campaign; and 3) evaluation of the economic and reliability benefits of improved forecasts to grid operators. This paper and presentation provides an overview of the regions selected, instrumentation deployed, data quality and control, assimilation of data into HRRR, and preliminary results of HRRR performance analysis.

  2. Short-Term Load Forecasting Error Distributions and Implications for Renewable Integration Studies: Preprint

    SciTech Connect (OSTI)

    Hodge, B. M.; Lew, D.; Milligan, M.

    2013-01-01T23:59:59.000Z

    Load forecasting in the day-ahead timescale is a critical aspect of power system operations that is used in the unit commitment process. It is also an important factor in renewable energy integration studies, where the combination of load and wind or solar forecasting techniques create the net load uncertainty that must be managed by the economic dispatch process or with suitable reserves. An understanding of that load forecasting errors that may be expected in this process can lead to better decisions about the amount of reserves necessary to compensate errors. In this work, we performed a statistical analysis of the day-ahead (and two-day-ahead) load forecasting errors observed in two independent system operators for a one-year period. Comparisons were made with the normal distribution commonly assumed in power system operation simulations used for renewable power integration studies. Further analysis identified time periods when the load is more likely to be under- or overforecast.

  3. Laboratory Studies of the Short-term Responses of Freshwater Fish to Electromagnetic Fields

    SciTech Connect (OSTI)

    Bevelhimer, Mark S [ORNL; Cada, Glenn F [ORNL; Fortner, Allison M [ORNL; Schweizer, Peter E [ORNL; Riemer, Kristina P [ORNL

    2013-01-01T23:59:59.000Z

    Hydrokinetic energy technologies are being proposed as an environmentally preferred means of generating electricity from river and tidal currents. Among the potential issues that must be investigated in order to resolve environmental concerns are the effects on aquatic organisms of electromagnetic fields created by underwater generators and transmission cables. The behavioral responses of common freshwater fishes to static and variable electromagnetic fields (EMF) that may be emitted by hydrokinetic projects were evaluated in laboratory experiments. Various fish species were exposed to either static (DC) EMF fields created by a permanent bar magnet or variable (AC) EMF fields created by a switched electromagnet for 48 h, fish locations were recorded with a digital imaging system, and changes in activity level and distribution relative to the magnet position were quantified at 5-min intervals. Experiments with fathead minnows, redear sunfish, striped bass, lake sturgeon, and channel catfish produced mixed results. Except for fathead minnows there was no effect on activity level. Only redear sunfish and channel catfish exhibited a change in distribution relative to the position of the magnet with an apparent attraction to the EMF source. In separate experiments, rapid behavioral responses of paddlefish and lake sturgeon to onset of the AC field were recorded with high-speed video. Paddlefish did not react to a variable, 60-Hz magnetic field like that which would be emitted by an AC generator or cable, but lake sturgeon consistently responded to the variable, AC-generated magnetic field with a variety of altered swimming behaviors. These results will be useful for determining under what circumstances cables or generators need to be positioned to minimize interactions with sensitive species.

  4. Microstructural evolution of delta ferrite in SAVE12 steel under heat treatment and short-term creep

    SciTech Connect (OSTI)

    Li, Shengzhi, E-mail: lishengzhi@sjtu.edu.cn [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Eliniyaz, Zumrat; Zhang, Lanting; Sun, Feng [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Shen, Yinzhong [School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Nuclear Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China); Shan, Aidang, E-mail: adshan@sjtu.edu.cn [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)] [School of Materials Science and Engineering, Shanghai Jiao Tong University, Shanghai 200240 (China)

    2012-11-15T23:59:59.000Z

    This research focused on the formation and microstructural evolution of delta ferrite phase in SAVE12 steel. The formation of delta ferrite was due to the high content of ferrite forming alloy elements such as Cr, W, and Ta. This was interpreted through either JMatPro-4.1 computer program or Cr{sub eq} calculations. Delta ferrite was found in bamboo-like shape and contained large amount of MX phase. It was surrounded by Laves phases before creep or aging treatment. Annealing treatments were performed under temperatures from 1050 Degree-Sign C to 1100 Degree-Sign C and various time periods to study its dissolution kinetics. The result showed that most of the delta ferrite can be dissolved by annealing in single phase austenitic region. Dissolution process of delta ferrite may largely depend on dissolution kinetic factors, rather than on thermodynamic factors. Precipitation behavior during short-term (1100 h) creep was investigated at temperature of 600 Degree-Sign C under a stress of 180 MPa. The results demonstrated that delta ferrite became preferential nucleation sites for Laves phase at the early stage of creep. Laves phase on the boundary around delta ferrite showed relatively slower growth and coarsening rate than that inside delta ferrite. - Highlights: Black-Right-Pointing-Pointer Delta ferrite is systematically studied under heat treatment and short-term creep. Black-Right-Pointing-Pointer Delta ferrite contains large number of MX phase and is surrounded by Laves phases before creep or aging treatment. Black-Right-Pointing-Pointer Formation of delta ferrite is interpreted by theoretical and empirical methods. Black-Right-Pointing-Pointer Most of the delta ferrite is dissolved by annealing in single phase austenitic region. Black-Right-Pointing-Pointer Delta ferrite becomes preferential nucleation sites for Laves phase at the early stage of creep.

  5. Short-Term Energy Outlook Supplement: 2014 Outlook for Gulf of Mexico Hurricane-Related Production Outages

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S. Regional Weather Data EitherMay 2014 14

  6. Apolipoprotein E Genotype-Dependent Paradoxical Short-Term Effects of {sup 56}Fe Irradiation on the Brain

    SciTech Connect (OSTI)

    Haley, Gwendolen E. [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States) [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States); Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR (United States); Villasana, Laura; Dayger, Catherine; Davis, Matthew J. [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States)] [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States); Raber, Jacob, E-mail: raberj@ohsu.edu [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States) [Department of Behavioral Neuroscience, Oregon Health and Science University, Portland, OR (United States); Division of Neuroscience, Oregon National Primate Research Center, Beaverton, OR (United States); Department of Neurology, Oregon Health and Science University, Portland, OR (United States)

    2012-11-01T23:59:59.000Z

    Purpose: In humans, apolipoprotein E (apoE) is encoded by three major alleles ({epsilon}2, {epsilon}3, and {epsilon}4) and, compared to apoE3, apoE4 increases the risk of developing Alzheimer disease and cognitive impairments following various environmental challenges. Exposure to irradiation, including that of {sup 56}Fe, during space missions poses a significant risk to the central nervous system, and apoE isoform might modulate this risk. Methods and Materials: We investigated whether apoE isoform modulates hippocampus-dependent cognitive performance starting 2 weeks after {sup 56}Fe irradiation. Changes in reactive oxygen species (ROS) can affect cognition and are induced by irradiation. Therefore, after cognitive testing, we assessed hippocampal ROS levels in ex vivo brain slices, using the ROS-sensitive fluorescent probe, dihydroethidium (DHE). Brain levels of 3-nitrotyrosine (3-NT), CuZn superoxide dismutase (CuZnSOD), extracellular SOD, and apoE were assessed using Western blotting analysis. Results: In the water maze, spatial memory retention was impaired by irradiation in apoE2 and apoE4 mice but enhanced by irradiation in apoE3 mice. Irradiation reduced DHE-oxidation levels in the enclosed blade of the dentate gyrus and levels of 3-NT and CuZnSOD in apoE2 but not apoE3 or apoE4 mice. Finally, irradiation increased apoE levels in apoE3 but not apoE2 or apoE4 mice. Conclusions: The short-term effects of {sup 56}Fe irradiation on hippocampal ROS levels and hippocampus-dependent spatial memory retention are apoE isoform-dependent.

  7. Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests, Progress Report, 6-99, Revised 12-99

    E-Print Network [OSTI]

    Reddy, T. A.; Elleson, J.; Haberl, J. S.

    1999-01-01T23:59:59.000Z

    This is the Spring 1999 progress report on ASHRAE Research Project RP 1004: Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests. This report presents an update concerning the work that has been accomplished since the June...

  8. > REPLACE THIS LINE WITH YOUR PAPER IDENTIFICATION NUMBER (DOUBLE-CLICK HERE TO EDIT) < 1 An Analytical Framework for Short-Term Resource

    E-Print Network [OSTI]

    markets, strategic behavior, capacity gaming. I. INTRODUCTION HE electric system is said to be reliable markets, is capacity. Since sellers need not offer all their capacity to serve the demand, they may engage An Analytical Framework for Short-Term Resource Adequacy in Competitive Electricity Markets Pablo A. Ruiz

  9. Estimation of original gas in place from short-term shut-in pressure data for commingled tight gas reservoirs with no crossflow

    E-Print Network [OSTI]

    Khuong, Chan Hung

    2012-06-07T23:59:59.000Z

    gas production (GP) under these circumstances. This research studies different empirical methods to estimate the original gas in place (OGIP) for one-layer or commingled two-layer tight gas reservoirs without crossflow, from short-term (72-hour) shut...

  10. A Methodology to Characterize Ideal Short-term Counting Conditions and Improve AADT Estimation Accuracy Using a Regression-based Correcting

    E-Print Network [OSTI]

    Bertini, Robert L.

    -established and robust with clear guidelines to collect short-term count data, to analyze data and develop annual average a statewide system of non-motorized data. From a planning point of view, a key measure of traffic volumes continuous counts comes from the AASHTO Guidelines for Traffic Data Programs, prepared in 1992 (AASHTO, 1992

  11. Modeling the Oil Transition: A Summary of the Proceedings of the DOE/EPA Workshop on the Economic and Environmental Implications of Global Energy Transitions

    SciTech Connect (OSTI)

    Greene, David L [ORNL

    2007-02-01T23:59:59.000Z

    The global energy system faces sweeping changes in the next few decades, with potentially critical implications for the global economy and the global environment. It is important that global institutions have the tools necessary to predict, analyze and plan for such massive change. This report summarizes the proceedings of an international workshop concerning methods of forecasting, analyzing, and planning for global energy transitions and their economic and environmental consequences. A specific case, it focused on the transition from conventional to unconventional oil and other energy sources likely to result from a peak in non-OPEC and/or global production of conventional oil. Leading energy models from around the world in government, academia and the private sector met, reviewed the state-of-the-art of global energy modeling and evaluated its ability to analyze and predict large-scale energy transitions.

  12. U.S. Energy Information Administration (EIA)

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

    of 2011. Figure DataThe AEO2011 Reference case also includes signifi cant long-term potential for supply from non-OPEC producers. In several resource-rich regions (including...

  13. An assay of duck hepatitis virus induced interferon, produced in duck embryo fibro-blasts which have experienced short term treatment with DDT

    E-Print Network [OSTI]

    Bauder, Richard Burgess

    1973-01-01T23:59:59.000Z

    AN ASSAY OP DUCK HEPATITIS VIRUS INDUCED INTERFERON, PRODUCED IN DUCK EMBRYO FIBROBLASTS WHICH HAVE EXPERIENCED SHORT TERM TREATMENT WITH DDT A Thesis by BURGESS BAUDER Submitted to the Graduate College of Texas A&M University in Partial... WITH DDT A Thesi. s by /'. ". " . "i BURGESS BAUDER Approved as to style and content by: (Chairm of Committee) (Head of Depar ent) (Member) (Member) (Member) August 1973 ABSTRACT An Assay of Duck Hepatitis Virus Induced Interferon, Produced...

  14. arXiv:1007.3122v2[q-bio.NC]30Jan2013 Robust Short-Term Memory without Synaptic

    E-Print Network [OSTI]

    Johnson, Samuel

    been stored in samuel.johnson@imperial.ac.uk 1 #12;our brains previously (not very credible). Here wearXiv:1007.3122v2[q-bio.NC]30Jan2013 Robust Short-Term Memory without Synaptic Learning Samuel Johnson1,2, , J. Marro3 , and Joaqu´in J. Torres3 1 Department of Mathematics, Imperial College London, SW

  15. Fact #836: September 1, 2014 Non-OPEC Countries Supply Nearly Two-thirds of

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFYOxide Emission Standards, Modeland- DatasetU.S.

  16. BWRSAR (Boiling Water Reactor Severe Accident Response) calculations of reactor vessel debris pours for Peach Bottom short-term station blackout

    SciTech Connect (OSTI)

    Hodge, S.A.; Ott, L.J.

    1988-01-01T23:59:59.000Z

    This paper describes recent analyses performed by the BWR Severe Accident Technology (BWRSAT) Program at Oak Ridge National Laboratory to estimate the release of debris from the reactor vessel for the unmitigated short-term station blackout accident sequence. Calculations were performed with the BWR Severe Accident Response (BWRSAR) code and are based upon consideration of the Peach Bottom Atomic Power Station. The modeling strategies employed within BWRSAR for debris relocation within the reactor vessel are briefly discussed and the calculated events of the accident sequence, including details of the calculated debris pours, are presented. 4 refs., 13 figs., 3 tabs.

  17. Energy Independence for North America - Transition to the Hydrogen...

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

    Non-OPEC*** 3,407 ***includes but not limited to Angola, Colombia, Russia, China, Norway and United Kingdom. 175.60 billion barrels U.S. PADD V 4.85 billion barrels U.S. PADD...

  18. Analysis of novel, above-ground thermal energy storage concept utilizing low-cost, solid medium .

    E-Print Network [OSTI]

    Barineau, Mark Michael

    2010-01-01T23:59:59.000Z

    ??Clean energy power plants cannot effectively match peak demands without utilizing energy storage technologies. Currently, several solutions address short term demand cycles, but little work (more)

  19. Methodology Development for Determining Long-Term Performance of Cool Storage Systems from Short-Term Tests

    E-Print Network [OSTI]

    Reddy, T.A.; Elleson, J.S.; Haberl, J.S.

    . For example, if storage is used to shift load year-round, ml=1 and m2=12. particular period during the day/week/year Analysis with Short Data Sets A few studies discussed in the RP-l004 literature review (Reddy et al. 1998b) investigated the annual predictive... temperature-dependent regres sion models of energy use identified from short data sets are AC-02-19-3 (RP-1004) ESL-PA-02-01-02 able to predict annual energy use has been investigated with monitored data by Kissock et al. (1998) for two-parameter single...

  20. analytical energy forecasting: Topics by E-print Network

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

    COMMISSION Tom Gorin Lynn Marshall Principal Author Tom Gorin Project 11 Short-Term Solar Energy Forecasting Using Wireless Sensor Networks Computer Technologies and...

  1. Final Technical Report DOE Award DE-FG02-07ER41515 QUEST Camera Short Term Maintenance

    Office of Scientific and Technical Information (OSTI)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinan antagonist Journal Article: Crystal structureComposite--FOR IMMEDIATEDOE Award DE-FG02-07ER41515 QUEST

  2. A Study on the Tritium Behavior in the Rice Plant after a Short-Term Exposure of HTO

    SciTech Connect (OSTI)

    Yook, D-S.; Lee, K. J.; Choi, Y-H.

    2002-02-26T23:59:59.000Z

    In many Asian countries including Korea, rice is a very important food crop. Its grain is consumed by humans and its straw is used to feed animals. In Korea, there are four CANDU type reactors that release relatively large amounts of tritium into the environment. Since 1997, KAERI (Korea Atomic Energy Research Institute) has carried out the experimental studies to obtain domestic data on various parameters concerning the direct contamination of plant. In this study, the behavior of tritium in the rice plant is predicted and compared with the measurement performed at KAERI. Using the conceptual model of the soil-plant-atmosphere tritiated water transport system which was suggested by Charles E. Murphy, tritium concentrations in the soil and in leaves to time were derived. If the effect of tritium concentration in the soil is considered, the tritium concentration in leaves is described as a double exponential model. On the other hand if the tritium concentration in the soil is disregarded, the tritium concentration in leaves is described by a single exponential term as other models (e.g. Belot's or STAR-H3 model). Also concentration of organically bound tritium in the seed is predicted and compared with measurements. The results can be used to predict the tritium concentration in the rice plant at a field around the site and the ingestion dose following the release of tritium to the environment.

  3. Modeling Energy Market Volatility Using REMI October 2010

    E-Print Network [OSTI]

    Johnson, Eric E.

    Sources: WTI prices from EIA, Short Term Energy Outlook, Table 2 and GDP deflator from Bureau of Economic ($2005) Henry Hub Spot Price Sources: WTI prices from EIA, Short Term Energy Outlook, Table 2 and GDP Percent Change In Real Coal Price ($2005 Per short ton) Sources: Coal prices from EIA, Annual Energy

  4. INFRARED OBSERVATIONS OF THE MILLISECOND PULSAR BINARY J1023+0038: EVIDENCE FOR THE SHORT-TERM NATURE OF ITS INTERACTING PHASE IN 2000-2001

    SciTech Connect (OSTI)

    Wang, Xuebing; Wang, Zhongxiang [Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030 (China)] [Key Laboratory for Research in Galaxies and Cosmology, Shanghai Astronomical Observatory, Chinese Academy of Sciences, 80 Nandan Road, Shanghai 200030 (China); Morrell, Nidia [Las Campanas Observatory, Observatories of the Carnegie Institution of Washington, La Serena (Chile)] [Las Campanas Observatory, Observatories of the Carnegie Institution of Washington, La Serena (Chile)

    2013-02-20T23:59:59.000Z

    We report our multi-band infrared (IR) imaging of the transitional millisecond pulsar system J1023+0038, a rare pulsar binary known to have an accretion disk in 2000-2001. The observations were carried out with ground-based and space telescopes from near-IR to far-IR wavelengths. We detected the source in near-IR JH bands and Spitzer 3.6 and 4.5 {mu}m mid-IR channels. Combined with the previously reported optical spectrum of the source, the IR emission is found to arise from the companion star, with no excess emission detected in the wavelength range. Because our near-IR fluxes are nearly equal to those obtained by the 2MASS all-sky survey in 2000 February, the result indicates that the binary did not contain the accretion disk at the time, whose existence would have raised the near-IR fluxes to twice larger values. Our observations have thus established the short-term nature of the interacting phase seen in 2000-2001: the accretion disk existed for at most 2.5 yr. The binary was not detected by the WISE all-sky survey carried out in 2010 at its 12 and 22 {mu}m bands and our Herschel far-IR imaging at 70 and 160 {mu}m. Depending on the assumed properties of the dust, the resulting flux upper limits provide a constraint of <3 Multiplication-Sign 10{sup 22}-3 Multiplication-Sign 10{sup 25} g on the mass of the dust grains that possibly exist as the remnants of the previously seen accretion disk.

  5. Design of subsea energy storage chamber

    E-Print Network [OSTI]

    Greenlee, Alison S

    2009-01-01T23:59:59.000Z

    Energy generated from offshore resources is not reliable over short periods of time. Although wind and wave energy is fairly consistent in the long run, their short term capacity fluctuations prohibit these resources from ...

  6. International Statistical Review (2012), 80, 1, 223 doi:10.1111/j.1751-5823.2011.00168.x Short-Term Wind Speed Forecasting

    E-Print Network [OSTI]

    Genton, Marc G.

    2012-01-01T23:59:59.000Z

    @stat.tamu.edu Summary The emphasis on renewable energy and concerns about the environment have led to large-scale wind mix and develop diverse sources of clean, renewable energy. Cost-effective energy that can be produced to 1990), to increase the amount of renewable energy to 20% of the energy supply, and to reduce

  7. Market Power in the World Oil Market: Evidence for an OPEC Cartel and an Oligopolistic Non-OPEC Fringe

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    contributions to the existing literature. First, it takes to data the theoretical model of optimal nonrenewable- ilicza & Pindyck, 1976; Pindyck, 1976; Cremer & Weitzman, 1976), stock effects in extraction costs

  8. Market Power in the World Oil Market: Evidence for an OPEC Cartel and an Oligopolistic Non-OPEC Fringe

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    important contributions to the existing literature. First, it takes to data the theoretical model of optimal (Hny- ilicza & Pindyck, 1976; Pindyck, 1976; Cremer & Weitzman, 1976), stock effects in extraction

  9. Fact #836: September 1, Non-OPEC Countries Supply Nearly Two-thirds of U.S.

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFYOxide Emission Standards, Modeland-

  10. Country analysis briefs: 1994. Profiles of major world energy producers, consumers, and transport centers

    SciTech Connect (OSTI)

    NONE

    1995-05-01T23:59:59.000Z

    Country Analysis Briefs: 1994 is a compilation of country profiles prepared by the Energy Markets and Contingency Information Division (EMCID) of the Office of Energy Markets and End Use. EMCID maintains Country Analysis Briefs (CABs) for specific countries or geographical areas that are important to world energy markets. As a general rule, CABs are prepared for all members of the Organization of Petroleum Exporting Countries (OPEC), major non-OPEC oil producers (i.e., the North Sea, Russia), major energy transit areas (i.e., Ukraine), and other areas of current interest to energy analysts and policy makers. As of January 1995, EMCID maintained over 40 CABs, updated on an annual schedule and subject to revision as events warrant. This report includes 25 CABs updated during 1994. All CABs contain a profile section, a map showing the country`s location, and a narrative section. The profile section includes outlines of the country`s economy, energy sector, and environment. The narrative provides further information and discussion of these topics. Some CABs also include a detailed map displaying locations of major oil and gas fields, pipelines, ports, etc. These maps were created as a result of special individual requests and so are not typically a standard feature of the CABs. They are presented here wherever available as a supplement to the information contained in the CABs.

  11. Automatic calibration of a building energy performance model and remote fault detection for continuous commissioning using a global optimization program

    E-Print Network [OSTI]

    Lee, Seung Uk

    2002-01-01T23:59:59.000Z

    for energy waste. 2) An nnportant characteristic of this automated calibration process is that it may be possible to effectively use short-term measurements. The Short Term Energy Monitoring (STEM) is a method that Subbarao et al. (1990), Balcomb et al... %). The apparent savings fiom the retrofit of the DDCV system with VAV was about 684 GJ in cooling energy and 324 GJ in heating energy for a three-week period in June-July 1991. Balcomb et al. (1994) used the short-term energy monitoring (STEM) method...

  12. Analysis of novel, above-ground thermal energy storage concept utilizing low-cost, solid medium

    E-Print Network [OSTI]

    Barineau, Mark Michael

    2010-01-01T23:59:59.000Z

    Clean energy power plants cannot effectively match peak demands without utilizing energy storage technologies. Currently, several solutions address short term demand cycles, but little work has been done to address seasonal ...

  13. Locked into Copenhagen pledges - Implications of short-term emission targets for the cost and feasibility of long-term climate goals

    SciTech Connect (OSTI)

    Riahi, Keywan; Kriegler, Elmar; Johnson, Nils; Bertram, Christoph; den Elzen, Michel; Eom, Jiyong; Schaeffer, Michiel; Edmonds, James A.; Isaac, Morna; Krey, Volker; Longden, Thomas; Luderer, Gunnar; Mejean, Aurelie; McCollum, David; Mima, Silvana; Turton, Hal; Van Vuuren, Detlef; Wada, Kenichi; Bosetti, Valentina; Capros, Pantelis; Criqui, Patrick; Hamdi-Cherif, Meriem; Kainuma, M.; Edenhofer, Ottmar

    2015-01-01T23:59:59.000Z

    This paper provides an overview of the AMPERE intermodeling comparison with focus on the implications of near-term policies for the costs and attainability of long-term climate objectives. Ten modeling teams participated in the project to explore the consequences of global emissions following the proposed policy stringency of the national pledges from the Copenhagen Accord and Cancn Agreements to 2030. Specific features compared to earlier assessments are the explicit consideration of near-term 2030 emissions targets as well as the systematic sensitivity analysis for the availability and potential of mitigation technologies. Our estimates show that a 2030 mitigation effort comparable to the pledges would result in a further "lock-in" of the energy system into fossil fuels and thus impede the required energy transformation to reach low greenhouse-gas stabilization levels (450ppm CO2e). Major implications include significant increases in mitigation costs, increased risk that low stabilization targets become unattainable, and reduced chances of staying below the proposed temperature change target of 2C. With respect to technologies, we find that following the pledge pathways to 2030 would narrow policy choices, and increases the risks that some currently optional technologies, such as nuclear or carbon capture and storage (CCS), will become "a must" by 2030.

  14. Short-term and long-term behaviour of glass-fibre/matrix composite materials under monoaxial and biaxial loading as a function of the interface quality

    SciTech Connect (OSTI)

    Krawczak, P.; Pabiot, J. [Ecole des Mines, Douai (France). Dept. Technologie des Polymeres et Composites

    1993-12-31T23:59:59.000Z

    In order to reveal the essential role of the quality of the fiber/matrix interface in the definition of the final characteristics of glass/resin composite materials, the authors have investigated the behavior of composite samples, differing only by the interface quality, under the laws of loading, which are used most in industrial fields: (1) monoaxial tension with monitoring of acoustic emission spectra, (2) interlaminar shear, (3) crack initiation and crack growth in mode 1, (4) viscoelasticity in bending, and (5) biaxial monotonic tension, cyclic loading with increasing amplitude and dynamic fatigue. Biaxial tests were carried out on industrial tubing systems under internal pressure, the other tests on standard flat test pieces. In tension and interlaminar shear, the influence of fiber/matrix adhesion is not always very clear; it depends on the damage criterium and on the type of reinforcement used. The incidence of this parameter appears generally to be more pronounced through mode 1 fracture mechanics and viscoelasticity studies. Concerning the study of tubing systems, the level of sensitivity to the interface quality is dependent on the loading mode and the end of life criteria which have been chosen, weeping or limits of linearity. The results show that the nature of the fiber/matrix interface can strongly affect the mechanical behavior of composites. For instance, one can notice variations due to interface: (1) up to 50% on initiation and growth energies, (2) of more than 40% on the damping at glass transition temperature, (3) as high as 37% in term of circumferential stress at first damage, (4) the fatigue lifetime can be multiplied by ten.

  15. Short term accommodation and Bed and Breakfasts

    E-Print Network [OSTI]

    Kühn, Reimer

    hotels in central London. *Premier Inn County Hall Belvedere Road London SE1 7PB Website: http.indianymca.org Journey's ­ Kings Cross 54 ­ 58 Caledonian Road Kings Cross London N1 9DP Tel: 020 7833 3893 http.dovercastlehostel.com Ashlee House 261 ­ 265 Grays Inn Road Kings Cross London WC1X 8QT Tel: 020 7833 9400 Fax: 020 7833 9677

  16. Short-Term Farm Credit in Texas.

    E-Print Network [OSTI]

    Lee, Virgil P.

    1927-01-01T23:59:59.000Z

    .. 27.1 ............................................... For automob~les.. 7.8 For other purposes. ............................................. 4.5 Production: 1 60.6 A noticeable feature of this table is the relatively high percentage of loans...

  17. Comfort control for short-term occupancy

    E-Print Network [OSTI]

    Fountain, M.; Brager, G. S.; Arens, Edward A; Bauman, Fred; Benton, C.

    1994-01-01T23:59:59.000Z

    to a thermostat-controlled fan-coil unit i n each room. TheThe t y p i c a l fan-coil and w a l l units are i n this

  18. Umea University Education Short-Term Program

    E-Print Network [OSTI]

    Viglas, Anastasios

    refrigerators, freezers and kitchen utensils that you can share. The housing with IHO includes: · Private room

  19. APPLICATION FORM Short term course on

    E-Print Network [OSTI]

    Srivastava, Kumar Vaibhav

    Address: Prof. Tapan K. Sengupta High Performance Computing Lab Department of Aerospace Venue : IIT Kanpur, Kanpur Organized by: High Performance Computing Lab, Dept. of Aerospace Engineering

  20. Online short-term solar power forecasting

    SciTech Connect (OSTI)

    Bacher, Peder; Madsen, Henrik [Informatics and Mathematical Modelling, Richard Pedersens Plads, Technical University of Denmark, Building 321, DK-2800 Lyngby (Denmark); Nielsen, Henrik Aalborg [ENFOR A/S, Lyngsoe Alle 3, DK-2970 Hoersholm (Denmark)

    2009-10-15T23:59:59.000Z

    This paper describes a new approach to online forecasting of power production from PV systems. The method is suited to online forecasting in many applications and in this paper it is used to predict hourly values of solar power for horizons of up to 36 h. The data used is 15-min observations of solar power from 21 PV systems located on rooftops in a small village in Denmark. The suggested method is a two-stage method where first a statistical normalization of the solar power is obtained using a clear sky model. The clear sky model is found using statistical smoothing techniques. Then forecasts of the normalized solar power are calculated using adaptive linear time series models. Both autoregressive (AR) and AR with exogenous input (ARX) models are evaluated, where the latter takes numerical weather predictions (NWPs) as input. The results indicate that for forecasts up to 2 h ahead the most important input is the available observations of solar power, while for longer horizons NWPs are the most important input. A root mean square error improvement of around 35% is achieved by the ARX model compared to a proposed reference model. (author)

  1. Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development

    E-Print Network [OSTI]

    Walter, M.Todd

    Energy Transitions: A Systems Approach Including Marcellus Shale Gas Development A Report Engineering) W. VA #12;Energy Transitions: A Systems Approach August 2011 version Page 2 Energy Transitions sources globally, some very strong short-term drivers of energy transitions reflect rising concerns over

  2. Short-Term Exchange Financial Statement Non-degree, Short-Term, Special Students

    E-Print Network [OSTI]

    for tuition with the estimated cost of your program. Do the same for each category A-G even if you to discuss Visa alternatives. STUDENT INFORMATION LAST/FAMILY NAME, capitalized First/Given Name Middle Name information regarding health insurance visit the ISSS website at http://www.vanderbilt.edu/isss/resources

  3. Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and

    E-Print Network [OSTI]

    Simunic, Tajana

    Renewable Energy Prediction for Improved Utilization and Efficiency in Datacenters and Backbone requirements prevent easy integration with highly variable renewable energy sources. Short-term green energy of 11%. Their energy needs are supplied mainly by non-renewable, or brown energy sources, which

  4. Country Analysis Briefs

    Reports and Publications (EIA)

    2028-01-01T23:59:59.000Z

    An ongoing compilation of country energy profiles. The Energy Information Administration (EIA) maintains Country Analysis Briefs (CABs) for specific countries that are important to world energy markets, including members of the Organization of the Petroleum Exporting Countries (OPEC), major non-OPEC oil producers, major energy transit countries, major energy consumers, and other areas of current interest to energy analysts and policy makers.

  5. A global perspective on energy markets and economic integration.

    SciTech Connect (OSTI)

    Baker, Arnold Barry

    2006-04-01T23:59:59.000Z

    What will be the effect of Iraqi domestic instability on Iraqi oil production Negotiations for Iranian nuclear technology on Iranian oil supplies Saudi commitment to expanded oil production President Putin's policies on Russian oil and natural gas supplies President Chavez's policies on Venezuelan oil supplies Instability in Nigeria Higher oil prices on world economic growth Effect of economic growth on oil demand in China, India, U.S., etc. Higher oil prices on non-OPEC oil supplies

  6. 1112 IEEE TRANSACTIONS ON ENERGY CONVERSION, VOL. 25, NO. 4, DECEMBER 2010 Short-Horizon Prediction of Wind Power

    E-Print Network [OSTI]

    Kusiak, Andrew

    (wind energy in particular) has grown sig- nificantly in the last years. As a relatively new industry, wind energy must address numerous questions, including providing accurate short-term prediction of wind of the generated power [1]. Long-term wind speed and power prediction is of interest to management of energy

  7. Energy technology progress for sustainable development

    SciTech Connect (OSTI)

    Arvizu, D.E.; Drennen, T.E.

    1997-03-01T23:59:59.000Z

    Energy security is a fundamental part of a country`s national security. Access to affordable, environmentally sustainable energy is a stabilizing force and is in the world community`s best interest. The current global energy situation however is not sustainable and has many complicating factors. The primary goal for government energy policy should be to provide stability and predictability to the market. This paper differentiates between short-term and long-term issues and argues that although the options for addressing the short-term issues are limited, there is an opportunity to alter the course of long-term energy stability and predictability through research and technology development. While reliance on foreign oil in the short term can be consistent with short-term energy security goals, there are sufficient long-term issues associated with fossil fuel use, in particular, as to require a long-term role for the federal government in funding research. The longer term issues fall into three categories. First, oil resources are finite and there is increasing world dependence on a limited number of suppliers. Second, the world demographics are changing dramatically and the emerging industrialized nations will have greater supply needs. Third, increasing attention to the environmental impacts of energy production and use will limit supply options. In addition to this global view, some of the changes occurring in the US domestic energy picture have implications that will encourage energy efficiency and new technology development. The paper concludes that technological innovation has provided a great benefit in the past and can continue to do so in the future if it is both channels toward a sustainable energy future and if it is committed to, and invested in, as a deliberate long-term policy option.

  8. UNITED STATES OF AMERICA105 FERC 61,307 FEDERAL ENERGY REGULATORY COMMISSION

    E-Print Network [OSTI]

    Laughlin, Robert B.

    UNITED STATES OF AMERICA105 FERC ¶ 61,307 FEDERAL ENERGY REGULATORY COMMISSION Before Commissioners manipulated short-term prices for electric energy or natural gas in the West or otherwise exercised undue investigatory agencies, including the Department of Justice, the Commodity Futures Trading Commission

  9. Benchmarking & Energy Master Planning in Schools

    E-Print Network [OSTI]

    Bronk, S.

    2014-01-01T23:59:59.000Z

    We change the way people use energy Benchmarking & Energy Master Planning in Schools ESL-KT-14-11-03 CATEE 2014: Clean Air Through Efficiency Conference, Dallas, Texas Nov. 18-20 Project implementation barriers ? Obtaining management commitment... ? Access to comprehensive measurement tools & methodologies ? Short-term planning horizons ? Available budget to fund projects ? Personnel time to design and plan project because of competing priorities ? Internal expertise to implement projects...

  10. ORIGINAL PAPER Introduction to the Special Issues: Short-term

    E-Print Network [OSTI]

    Olufsen, Mette Sofie

    School, and hosted by the American Institute of Mathematics (AIM), Palo Alto, California, October 9, Raleigh, USA 123 Cardiovasc Eng DOI 10.1007/s10558-007-9053-5 #12;the population demographics move toward

  11. ORIGINAL CONTRIBUTION Ozone and Short-term Mortality

    E-Print Network [OSTI]

    Dominici, Francesca

    . With the National Morbidity, Mortality, and Air Pollution Study (NMMAPS), we have developed na- tional approaches Ambient Air Qual- ity Standard (NAAQS) for ozone, adding a daily maximum 8-hour stan- dard of 80 ppb.19 Because of the relevance of epidemiologic evi- dence to the NAAQS for ozone and other pollutants

  12. Vehicle Technologies Office: Short-Term Lightweight Materials...

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

    face barriers in cost and manufacturing. Manufacturers also face issues with joining, corrosion, repair, and recycling when they combine aluminum with other materials. VTO has...

  13. Integrated Short Term Navigation of a Towed Underwater Body \\Lambda

    E-Print Network [OSTI]

    LeGland, François

    is con­ sidered. An underwater body, to be called here­ after the fish, is towed by a surface ship centimeters, the trajectory of the fish relative to its otherwise unknown initial position, during a few­ cated on board of the fish, can be integrated. INS measurements are known to track accurately the high

  14. Integrated Short Term Navigation of a Towed Underwater Body*

    E-Print Network [OSTI]

    LeGland, François

    . An underwater body, to be called here- after the fish, is towed by a surface ship at the end of a few hundred of the fish relative to its otherwise unknown initial position, during a few minutes experiment, so, acceleration measurements pro- vided by an INS (inertial navigation system) lo- cated on board of the fish, can

  15. Short-term microbial testing of shale oil materials

    SciTech Connect (OSTI)

    Rao, T.K.; Epler, J.L.; Guerin, M.R.; Clark, B.R.

    1980-01-01T23:59:59.000Z

    Paraho/Sohio Shale Oil was found to be mutagenic in the Ames assay when assayed with the frameshift strain TA98 and incorporating metabolic activation with rat liver homogenates (Aroclor induced S-9). The mutagenic activity was contributed by the organic constituents of the basic and the neutral fractions. Hydrotreatment of the shale oil abolished the mutagenic activity. Results obtained in the yeast assay supported these observations. Refined oil samples from Paraho/Sohio refinery were not mutagenic. The samples rank for their mutagenic activity as coal oils > shale oil > natural petroleum crudes.

  16. Short-term earthquake prediction by reverse analysis of lithosphere ...

    E-Print Network [OSTI]

    2006-01-17T23:59:59.000Z

    Dec 13, 2005 ... to the prediction of avalanches in a wide class of the complex systems, formed separately or jointly by nature and society. 4. The only decisive...

  17. When Do I Report a Short Term Disability Claim?

    E-Print Network [OSTI]

    Weaver, Harold A. "Hal"

    the patient may include information relating to any advice, diagnosis, prognosis, treatment or care of my, prescriptions or treatment, including x-ray plates and hospital records, records of drug or alcohol abuse and treatment, communicable disease, Human Immunodeficiency Syndrome (HIV), or Acquired Immune Deficiency

  18. assess short term: Topics by E-print Network

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

    and demand response programs in wholesale power markets with congestion managed by locational marginal prices are derived from DC optimal power flow solutions for day-ahead...

  19. Microsoft Word - Alcoa_short-term_amendments_CX.docx

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

    the same level of service under an existing power sales contract to the Intalco smelter in Ferndale, WA. These amendments would further extend this service for up to an...

  20. Short-term agricultural financial analysis expert system: prototype development

    E-Print Network [OSTI]

    Karkosh, Kedric Lee

    1989-01-01T23:59:59.000Z

    82 97 VITA 100 vii LIST OF TABLES Page TABLE I Farm Income and Return (1980 - 1986) TABLE 2 MARBLE Knowledge Base Organization TABLE 3 Items Used in FinARS TABLE 4 Criteria and Measures Used in AFAES Financial 18 Condition Expert System 19... assets for the period of 1980 to 1986 equal to a -3. 97X. Return on equity showed an even more significant decline over the period, from a level of 1. 1X in 1980 it declined to a low of -15. 4X in 1984 [USDA April 1988]. Assets values were also...

  1. Timing, Short-term Plasticity, and Metaplasticity of STP

    E-Print Network [OSTI]

    Chen, Weixiang

    2013-01-01T23:59:59.000Z

    A, Segev I, Tsodyks M, Stricker C (2004) Multiple mechanismsA, Segev I, Tsodyks M, Stricker C (2004) Multiple mechanismsA, Segev I, Tsodyks M, Stricker C (2004) Multiple mechanisms

  2. Short-Term Operation Scheduling in Renewable-Powered Microgrids

    E-Print Network [OSTI]

    Bornemann, Jens

    of demand forecast error. Mean of wind power forecast error. Cooling time constant of a unit. Variance of demand forecast error. Variance of wind power forecast error. Step size of the subgradient method. UC. Cold start-up cost of a unit. Dual function. Forecasted demand in time interval . Emission function

  3. Hidden State and ShortTerm Memory: A bibliography

    E-Print Network [OSTI]

    Littman, Michael L.

    for hidden markov models. 1993. [ Baum et al., 1970 ] Leonard E. Baum, Ted Petrie, George Soules, and Norman. [ McCallum, 1992 ] R. Andrew McCallum. First results with utile distinction memory for re­ inforcement. [ Moore, 1991 ] Andrew W. Moore. Variable res­ olution dynamic programming: Efficiently learning action

  4. Vehicle Technologies Office: Short-Term Lightweight Materials...

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

    term, replacing heavy steel components with materials such as high-strength steel, aluminum, or glass fiber-reinforced polymer composites can decrease component weight by 10-60...

  5. RESEARCH ARTICLE Empirical assessment of short-term variability from

    E-Print Network [OSTI]

    Variability of solar power is a key driver in increasing the cost of integrating solar power into the electric, we characterize the variability in power output of six photovoltaic plants in the USA and Canada, already generate 9% and 22% of their electricity from wind and solar power and have found means to address

  6. Short-term earthquake prediction by reverse analysis of lithosphere ...

    E-Print Network [OSTI]

    2006-01-17T23:59:59.000Z

    Dec 13, 2005 ... a International Institute for Earthquake Prediction Theory and Mathematical Geophysics, Russian Ac. Sci., Warshavskoe sh.,. 79, korp.

  7. Creep Prediction Using The Non-Linear Strain Energy Equivalence Theory

    E-Print Network [OSTI]

    Creep Prediction Using The Non-Linear Strain Energy Equivalence Theory Jennifer K. Lynch, Ph Theory, a semi-empirical model, is utilized to predict long- term creep from short-term compressive-axial compression are performed at strain rates of 3 and 0.03 %/minute to predict creep behavior and stress

  8. Short-Term Load Forecasting This paper discusses the state of the art in short-term load fore-

    E-Print Network [OSTI]

    Gross, George

    spectrum of time intervals. In therange of seconds, when load variationsare small and random, the automatic by a number of generation control functions such as hydro scheduling, unit commitment, hydro-ther- mal present, functions such as fuel, hydro, and maintenance scheduling are performed to ensure that the load

  9. The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    as on how short-term mechanisms ­ and policy action ­ can smooth the negative impacts of energy price shocks1 The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model Céline Guivarcha, * , Stéphane Hallegattea,b , Renaud Crassousa

  10. Historical Monthly Energy Review

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,992000 Short-TermSeptember 2002

  11. European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind Generation by a Dynamic

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    European Wind Energy Conference & Exhibition EWEC 2003, Madrid, Spain. Forecasting of Regional Wind. Abstract-Short-term wind power forecasting is recognized nowadays as a major requirement for a secure and economic integration of wind power in a power system. In the case of large-scale integration, end users

  12. Impacts of Rising Construction and Equipment Costs on Energy Industries (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01T23:59:59.000Z

    Costs related to the construction industry have been volatile in recent years. Some of the volatility may be related to higher energy prices. Prices for iron and steel, cement, and concrete -- commodities used heavily in the construction of new energy projects -- rose sharply from 2004 to 2006, and shortages have been reported. How such price fluctuations may affect the cost or pace of new development in the energy industries is not known with any certainty, and short-term changes in commodity prices are not accounted for in the 25-year projections in Annual Energy Outlook 2007. Most projects in the energy industries require long planning and construction lead times, which can lessen the impacts of short-term trends.

  13. Energy Intensity Baselining and Tracking Guidance | Department of 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsing Zirconia Nanoparticles asSecondCareerFebruary 2005 1 Short-TermTechnical

  14. Energy data collection as a necessary activity for developing countries

    SciTech Connect (OSTI)

    Loebl, A.S.; Cagle, J.D.

    1980-01-01T23:59:59.000Z

    This paper examines the reasons for energy data collection by developing countries and includes an examination of the special requirements of Costa Rica for energy data collection. A primary reason for national data collection is to support the planning function, and this is particularly significant where energy planning and economic development are concerned. Energy data are necessary to support all phases of planning: short-term; mid-term; and long-range and/or strategic planning. These different planning requirements are discussed. Energy data are also necessary to support national management, as well as the economic-development functions. These latter requirements are also discussed briefly.

  15. Choosing an electrical energy future for the Pacific Northwest: an alternative scenario

    SciTech Connect (OSTI)

    Beers, J.R.; Cavanagh, R.C.; Lash, T.R.; Mott, L.

    1980-05-19T23:59:59.000Z

    A strategy is presented for averting the short-term energy supply uncertainties that undermine prospects for stable economic development in the Pacific Northwest. This strategy is based on: an analysis of the present electric power consumption by various end-use sectors; comparison of incentives to promote energy conservation and lower demand growth; analysis of alternatives to current dependency on hydro power; and a study of the cost of planning and implementing future power supply programs. (LCL)

  16. Group Home Energy Efficiency Retrofit for 30% Energy Savings: Washington, D.C. (Fact Sheet)

    SciTech Connect (OSTI)

    Not Available

    2013-11-01T23:59:59.000Z

    Energy efficiency retrofits (EERs) face many challenges on the path to scalability. Limited budgets, cost effectiveness, risk factors, and accessibility impact the type and the extent of measures that can be implemented feasibly to achieve energy savings goals. Group home retrofits can face additional challenges than those in single family homes - such as reduced access (occupant-in-place restrictions) and lack of incentives for occupant behavioral change. This project studies the specification, implementation, and energy savings from an EER in a group home, with an energy savings goal of 30%. This short term test report chronicles the retrofit measures specified, their projected cost-effectiveness using building energy simulations, and the short term test results that were used to characterize pre-retrofit and post-retrofit conditions. Additionally, the final report for the project will include analysis of pre- and post-retrofit performance data on whole building energy use, and an assessment of the energy impact of occupant interface with the building (i.e., window operation). Ultimately, the study's results will be used to identify cost effective EER measures that can be implemented in group homes, given constraints that are characteristic of these buildings. Results will also point towards opportunities for future energy savings.

  17. Business Case for Energy Efficiency in Support of Climate Change Mitigation, Economic and Societal Benefits in the United States

    SciTech Connect (OSTI)

    Bojda, Nicholas; Ke, Jing; de la Rue du Can, Stephane; E. Letschert, Virginie; E. McMahon, James; McNeil, Michael A.

    2011-06-01T23:59:59.000Z

    This study seeks to provide policymakers and other stakeholders with actionable information towards a road map for reducing energy consumption in the most cost-effective way. A major difference between the current study and some others is that we focus on individual equipment types that might be the subject of policies - such as labels, energy performance standards, and incentives - to affect market transformation in the short term, and on high-efficiency technology options that are available today. The approach of the study is to assess the impact of short-term actions on long-term impacts. Short term market transformation is assumed to occur by 2015, while long-term energy demand reduction impacts are assessed in 2030. In the intervening years, most but not all of the equipment studied will turn over completely. The 15-year time frame is significant for many products however, indicating that delay of implementation postpones impacts such as net economic savings and mitigation of emissions of carbon dioxide. Such delays would result in putting in place energy-wasting technologies, postponing improvement until the end of their service life, or potentially resulting in expensive investment either in additional energy supplies or in early replacement to achieve future energy or emissions reduction targets.

  18. wf01 - Energy_Expenditures.xlsx

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquids Reserve Class3a.86,77,1996 N| Short-Term

  19. Microsoft Word - Household Energy Use CA

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 1 Short-TermJuly8 1 0 20 40 60

  20. Occupant-in-Place Energy Efficiency Retrofit in a Group Home for 30% Energy Savings in Climate Zone 4

    SciTech Connect (OSTI)

    Moore, M.

    2013-08-01T23:59:59.000Z

    Energy efficiency retrofits (EERs) face many challenges on the path to scalability. Limited budgets, cost effectiveness, risk factors, and accessibility impact the type and the extent of measures that can be implemented feasibly to achieve energy savings goals. Group home retrofits can face additional challenges than those in single family homes - such as reduced access (occupant-in-place restrictions) and lack of incentives for occupant behavioral change. This project studies the specification, implementation, and energy savings from an EER in a group home, with an energy savings goal of 30%. This short term test report chronicles the retrofit measures specified, their projected cost-effectiveness using building energy simulations, and the short term test results that were used to characterize pre-retrofit and post-retrofit conditions. Additionally, the final report for the project will include analysis of pre- and post-retrofit performance data on whole building energy use, and an assessment of the energy impact of occupant interface with the building (i.e., window operation). Ultimately, the study's results will be used to identify cost effective EER measures that can be implemented in group homes, given constraints that are characteristic of these buildings. Results will also point towards opportunities for future energy savings.

  1. DOE/EIA-0207/2 Residential Energy Consumption Survey:

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 11 Order

  2. DOE/EIA-0262/1 Residential Energy Consumption Survey:

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 11

  3. DOE/EIA-0314(82) Residential Energy Consumption Survey:

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 11272/S

  4. Inventing an Energy Internet: Concepts, Architectures and Protocols for Smart Energy Utilization

    ScienceCinema (OSTI)

    Lefteri Tsoukalas

    2010-01-08T23:59:59.000Z

    In recent years, the Internet is revolutionizing information availability much like the Power Grid revolutionized energy availability a century earlier. We will explore the differences and similarities of these two critical infrastructures and identify ways for convergence which may lead to an energy internet. Pricing signals, nodal forecasting, and short-term elasticities are key concepts in smart energy flows respecting the delicate equilibrium involved in generation-demand and aiming at higher efficiencies. We will discuss how intelligent forecasting approaches operating at multiple levels (including device or nodal levels) can ameliorate the challenges of power storage. In addition to higher efficiencies, an energy internet may achieve significant reliability and security improvements and offer greater flexibility and transparency in the overall energy-environmental relation.

  5. DOE/EIA-0202(86/1Q) Energy Information Administration Washington, DC

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q) Energy

  6. DOE/EIA-0202(86/2Q) Energy Information Administration Washington, DC

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q) Energy2Q)

  7. DOE/EIA-0202(86/3Q) Energy Information Administration Washington, DC

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q) Energy2Q)3Q)

  8. Carbon dioxide release from ocean thermal energy conversion (OTEC) cycles

    SciTech Connect (OSTI)

    Green, H.J. (Solar Energy Research Inst., Golden, CO (USA)); Guenther, P.R. (Scripps Institution of Oceanography, La Jolla, CA (USA))

    1990-09-01T23:59:59.000Z

    This paper presents the results of recent measurements of CO{sub 2} release from an open-cycle ocean thermal energy conversion (OTEC) experiment. Based on these data, the rate of short-term CO{sub 2} release from future open-cycle OTEC plants is projected to be 15 to 25 times smaller than that from fossil-fueled electric power plants. OTEC system that incorporate subsurface mixed discharge are expected to result in no long-term release. OTEC plants can significantly reduce CO{sub 2} emissions when substituted for fossil-fueled power generation. 12 refs., 4 figs., 3 tabs.

  9. II Now Available State Energy Data Report 1992

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment >7,992000 Short-TermSeptember» ;, II

  10. Energy

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarlyEnergyDepartment ofDepartment ofof EnergyYou$ EGcG ENERGY MEASUREMENTS;/:4,4 (; . 1.;Suire

  11. DOE/EIA-0035(93/05) Energy R*y

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy Outlook353/06)4)5)

  12. DOE/EIA-0035(93/07) Monthly Energy Review W S. IRA W,

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy Outlook353/06)4)5)7)

  13. DOE/EIA-0193/P PRELIMINARY CONSERVATION TABLES FROM THE NATIONAL INTERIM ENERGY CONSUMPTION SURVEY

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P PRELIMINARY

  14. DOE/EIA-0202(86/4Q) Energy Information Administration Short-Ter

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term Energy3/P1Q)6/1Q)

  15. DOE/EIA-0207/3 Residential Energy Consumption Survey: Conservation

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 11 Order3

  16. DOE/EIA-0272/S The National Interim Energy Consumption Survey:

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781Title:DOBEIA-0202(83/4Q) Short-Term2Q) Energy1Q) 1992 11272/S The

  17. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series toESnet4: Networking for37 East and WestLydiaEnabling timeEnergeticsEnergy

  18. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary)morphinanInformation Desert Southwest Region service area. TheEPSCI Home It is the|ResourcesCareersEmploymentEnergy

  19. Energy

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment > Voluntary826Industry forEmergingM

  20. ENERGY

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) "ofEarly Career Scientists'Montana.Program - LibbyofThisStatement ||More EmphasisofEMABTank WasteEnvironmental

  1. An Investigation of word encoding strategy and verbal short term memory in developmental dyslexia

    E-Print Network [OSTI]

    Kennedy, Hazel

    2006-01-01T23:59:59.000Z

    Dyslexic children have been shown to have poorer phonological awareness and phonological memory skills than normal readers. Evidence from a number of studies shows that normal readers show impaired recall for phonologically ...

  2. Short-Term Monitoring to Diagnose Comfort Problems in a Residence in Central Texas

    E-Print Network [OSTI]

    Kootin-Sanwu, V.; Sresthaputra, A.; Haberl, J. S.

    2000-01-01T23:59:59.000Z

    on the house (i.e., cleaning the cooling coils, enlarging the compressor and relining of the return duct). Measurements were then repeated to determine that the problem had been f ~ e d . This paper describes the case study residence, the measurements used...

  3. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    uctuations on the load following capability of an isolatedS. , Yamayee, Z. , 1981. Load-Following and Spinning-ReserveEconomic dispatch or load following to adjust the output of

  4. Freeway Short-Term Traffic Flow Forecasting by Considering Traffic Volatility Dynamics and Missing Data Situations

    E-Print Network [OSTI]

    Zhang, Yanru

    2012-10-19T23:59:59.000Z

    , assuming constant variance when perform forecasting. This method does not consider the volatility nature of traffic flow data. This paper demonstrated that the variance part of traffic flow data is not constant, and dependency exists. A volatility model...

  5. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    correlation between adjacent wind power plants, Journal of9] H. Holttinen, Hourly wind power variations in the nordicwith large amounts of wind power, VTT, Espoo, Final Report,

  6. Short-Term Effects of Air Pollution on Wheeze in Asthmatic Children in Fresno, California

    E-Print Network [OSTI]

    2010-01-01T23:59:59.000Z

    etal. 2003a, 2003b), nitrogen dioxide (NO 2 ) (Just etal.exposure to traffic and nitrogen dioxide. Epidemiology 16(concentrations of nitrogen dioxide on airway responses to

  7. Short-term supply chain management in upstream natural gas systems

    E-Print Network [OSTI]

    Selot, Ajay

    2009-01-01T23:59:59.000Z

    Natural gas supply chain planning and optimization is important to ensure security and reliability of natural gas supply. However, it is challenging due to the distinctive features of natural gas supply chains. These ...

  8. Efficacy of short-term administration of altrenogest to postpone ovulation in mares

    E-Print Network [OSTI]

    James, Aida Nioma

    2012-06-07T23:59:59.000Z

    , would sufficiently suppress LH thereby delaying ovulation. The objective of this experiment was to elucidate the potential for oral administration of altrenogest (17-Allyl-17phydroxyestra-4,9,1 1-trien-3-one) to postpone ovulation of a preovulatory...

  9. Short-Term Oxidation Studies on Nicrofer- 6025HT in Air at Elevated...

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

    Several advanced air separation unit (ASU) designs being considered for use in coal gasification rely on the use of solid state mixed ionic and electronic conductors....

  10. TPWRS-00322-2007.R2 1 Short-Term Resource Adequacy in

    E-Print Network [OSTI]

    Gross, George

    in terms of a price-sensitive demand curve. The program gives incentives for providing capacity to markets to the electricity market design. Index Terms-- capacity payments, capacity requirements, capacity withholding for ensuring resource adequacy in electricity markets are the offered capacities of the existing supply sources

  11. A Proposed Design for a Short-Term Resource Adequacy Program

    E-Print Network [OSTI]

    is formulated so as to give incentives for providing capacity to markets and to mete out penalties for non the explicit representation of the strategic behavior of market players, capacity withholding impacts to the electricity market design area. Index Terms-- capacity payments, capacity requirements, capacity withholding

  12. Issues in Assessing Short-Term Water Supply Capabilities of Reservoir Systems

    E-Print Network [OSTI]

    Schnier, Spencer Thomas

    2012-07-16T23:59:59.000Z

    ................................................................................. 59 5.1 Effect of First 60 Years versus Last 60 Years Period-of-Analysis on Reliabilities ............................................................................................ 64 5.2 Annual Volume Reliabilities for the Equal Weight... CHAPTER I INTRODUCTION ................................................................................ 1 1.1. Motivation for the Research .................................................... 1 1.2. Research Objectives...

  13. Sediment-Contact and Survival of Fingernail Clams: Implications for Conducting Short-Term

    E-Print Network [OSTI]

    Cope, W. Gregory

    Sediment-Contact and Survival of Fingernail Clams: Implications for Conducting Short toxicity tests have been used as indicators of whole sediment toxicity. However, many species commonly contact with sediment and associated porewater. We assessed the feasibility of porewater toxicity tests

  14. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    Term power ?uctuation of wind turbines: Analyzing data frome?ects of distributed wind turbines. part 1. coherence andto utilities by multiple wind turbines. IEEE Transactions on

  15. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    effects of distributed wind turbines. part 1. coherence andutilities by multiple wind turbines, IEEE Transactions onpower fluctuation of wind turbines: Analyzing data from the

  16. Evidence of two different types of short term solar modulation of regional surface temperature and cloud

    E-Print Network [OSTI]

    Edmonds, Ian

    2014-01-01T23:59:59.000Z

    Recent work indicates that 27 day variations in cosmic ray flux during 2007 2009 are phase locked to 27 day variations in cloud and surface temperature at Shetland. Here we extend the study to other regions including Central England, US and Australia and to several other annual intervals that exhibit strong 27 day variation in cosmic ray flux and sunspot area. Band pass filtering was used to obtain 27 day components of daily maximum temperature in each region and 27 day components of cloud variation were determined, in Australia only, from solar exposure records. When cosmic ray flux is the dominant influence phase locked variations in surface temperature occur in each of the regions with, however, in phase or anti phase variation in different regions. Similar phase locking of 27 day variation in surface temperature to sunspot area variation occurs when sunspot activity is the dominant influence with indications that changes from in phase to anti phase variation are linked to flipping of sunspot activity from...

  17. Short-term modulation of Indian summer monsoon rainfall by West Asian dust

    SciTech Connect (OSTI)

    Vinoj, V.; Rasch, Philip J.; Wang, Hailong; Yoon, Jin-Ho; Ma, Po-Lun; Landu, Kiranmayi; Singh, Balwinder

    2014-03-16T23:59:59.000Z

    The Indian summer monsoon is the result of a complex interplay between radiative heating, dynamics and cloud and aerosol interactions. Despite increased scientific attention, the effect of aerosols on monsoons still remains uncertain. Here we present both observational evidence and numerical modeling results demonstrating a remote aerosol link to Indian summer monsoon rainfall. Rainfall over central India is positively correlated to natural aerosols over the Arabian Sea and West Asia. Simulations using a state-of-the-art global climate model support this remote aerosol link and indicate that dust aerosols induce additional moisture transport and convergence over Central India, producing increased monsoon rainfall. The convergence is driven through solar heating and latent heating within clouds over West Asia that increases surface winds over the Arabian Sea. On the other hand, sea-salt aerosol tends to counteract the effect of dust and reduces rainfall. Our findings highlight the importance of natural aerosols in modulating the strength of the Indian summer monsoon, and motivate additional research in how changes in background aerosols of natural origin may be influencing long-term trends in monsoon precipitation.

  18. Original Contribution Effect Modification by Community Characteristics on the Short-term Effects of

    E-Print Network [OSTI]

    Dominici, Francesca

    , number of ozone monitors, weather, and use of air conditioning. Their study included data on 98 US urban pollution. air conditioning; air pollution; continental population groups; income; mortality; ozone, use of air conditioning, population characteristics, or other factors. Given the highly reactive

  19. SHORT-TERM THERMAL RESISTANCE OF ZOEAE OF 10 SPECIES OF CRABS FROM PUGET SOUND, WASHINGTON

    E-Print Network [OSTI]

    G. PA'ITEN1 ABSTRACT Zoeae of 10 crab species were subjected to tests that simulated thermal stress. In the State of Washington, for example, nuclear power plants are being planned for construction by municipali of power plant chemicals to aquatic life. Battelle Pac. Northwest Lab., Richland, Wash., WASH· 1249, U

  20. Next Generation Short-Term Forecasting of Wind Power Overview of the ANEMOS Project.

    E-Print Network [OSTI]

    Boyer, Edmond

    of difficulties to the power system operation. This is due to the fluctuating nature of wind generation to the management of wind generation. Accurate and reliable forecasting systems of the wind production are widely

  1. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    B. , 2007. Utility wind integration and operating impact2010. Western wind and solar integration study. Tech. rep. ,is commonly used in wind integration studies. Murata et

  2. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    B. Parsons, Utility wind integration and operating impactReport: 2006 Minnesota Wind Integration Study, Volume I.detailed solar and wind integration studies. V. C ONCLUSIONS

  3. Predictors of short-term decay of cell phone contacts in a large scale communication network

    E-Print Network [OSTI]

    Reader, Troy; Hachen, David; Chawla, Nitesh V

    2011-01-01T23:59:59.000Z

    Under what conditions is an edge present in a social network at time t likely to decay or persist by some future time t + Delta(t)? Previous research addressing this issue suggests that the network range of the people involved in the edge, the extent to which the edge is embedded in a surrounding structure, and the age of the edge all play a role in edge decay. This paper uses weighted data from a large-scale social network built from cell-phone calls in an 8-week period to determine the importance of edge weight for the decay/persistence process. In particular, we study the relative predictive power of directed weight, embeddedness, newness, and range (measured as outdegree) with respect to edge decay and assess the effectiveness with which a simple decision tree and logistic regression classifier can accurately predict whether an edge that was active in one time period continues to be so in a future time period. We find that directed edge weight, weighted reciprocity and time-dependent measures of edge long...

  4. Global Sensitivity Analysis for the Short-term Prediction of System Variables

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    and demand response programs in wholesale power markets with congestion managed by locational marginal prices the accuracy of the proposed prediction method. Index Terms--Wholesale power market, locational marginal price Marginal Prices (LMPs), the pricing of power in accordance with the loca- tion and timing of its injection

  5. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    Term variability of solar power, Lawrence Berkeley Nationaldue to wind and solar power, Environmental Science &and Predictability of Solar Power Andrew D. Mills and Ryan

  6. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    017F.PDF KEMA, Inc. 2011. PJM Empirical Analysis of DemandMethods. Prepared for the PJM Markets Implementation~/media/markets-ops/dsr/pjm-analysis-of-dr-baseline-methods-

  7. LONG-AND SHORT-TERM PRODUCTION SCHEDULING AT LKAB'S KIRUNA MINE

    E-Print Network [OSTI]

    in the manufacture of steel end-products. For about half a century, iron ore at Kiruna was extracted exclusively via or two 25-ton-capacity electric Load Haul Dump Units (LHDs) operating on a sublevel within each to prevent LHD drivers from driving over and damaging LHD cables. The site on which each LHD operates is also

  8. Studies of asphalt air blowing and development of a new short-term aging technique

    E-Print Network [OSTI]

    Vassiliev, Nicolai

    2001-01-01T23:59:59.000Z

    In this work asphalt air blowing has been studied from two perspectives. First, the process itself was investigated in terms of the effect of air-blowing conditions on the properties of the asphalt materials obtained. It was found that according...

  9. Intercomparison study of atmospheric mercury models: 1. Comparison of models with short-term measurements

    E-Print Network [OSTI]

    , Quebec, Canada f GKSS -- Research Centre, Max-Plank-Strasse 1, D-21502 Geesthacht, Germany g National

  10. Short-term effects of gaseous pollutants on cause-specific mortality in Wuhan, China

    SciTech Connect (OSTI)

    Zhengmin Qian; Qingci He; Hung-Mo Lin (and others) [Pennsylvania State College of Medicine, Hershey, PA (United States)

    2007-07-15T23:59:59.000Z

    This study was to determine the acute mortality effects of the gaseous pollutants in Wuhan, China a city with 7.5 million permanent residents during the period from 2000 to 2004. The major sources of air pollution in the city are motor vehicles and the use of coal for domestic cooking, heating, and industrial processes. In recent years, combustion of gas has been the most common method for domestic cooking. There is a large coal-combustion smelter in the district. There are approximately 4.5 million residents in Wuhan who live in the city's core area of 201 km{sup 2}, where air pollution levels are highest, and pollution ranges are wider than the majority of the cities in the published literature. We used the generalized additive model to analyze pollution, mortality, and covariate data. We found consistent NO{sub 2} effects on mortality with the strongest effects on the same day. Every 10-{mu}g/m{sup 3} increase in NO{sub 2} daily concentration on the same day was associated with an increase in nonaccidental cardiovascular, stroke, cardiac, respiratory, and cardiopulmonary mortality. These effects were stronger among the elderly than among the young. Formal examination of exposure-response curves suggests no-threshold linear relationships between daily mortality and NO{sub 2}, where the NO{sub 2} concentrations ranged from 19.2 to 127.4 {mu}g/m{sup 3}. SO{sub 2} and O{sub 3} were not associated with daily mortality. The exposure response relationships demonstrated heterogeneity, with some curves showing nonlinear relationships for SO{sub 2} and O{sub 3}. We conclude that there is consistent evidence of acute effects of NO{sub 2} on mortality and suggest that a no-threshold linear relationship exists between NO{sub 2} and mortality. 36 refs., 7 tabs.

  11. Microsoft Word - Alcoa_short-term_amendments2_CX.docx

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

    the same level of service under an existing power sales contract to the Intalco smelter in Ferndale, WA. These amendments would further extend this service for up to an...

  12. Short-term genome evolution of Listeria monocytogenes in a non-controlled environment

    E-Print Network [OSTI]

    Orsi, Renato H.

    Background: While increasing data on bacterial evolution in controlled environments are available, our understanding of

  13. A PROPOSED DESIGN FOR A SHORT-TERM RESOURCE ADECUACY PROGRAM

    E-Print Network [OSTI]

    Gross, George

    supervisor, George Gross, and the faculty in the power group and the ECE department for their commitment

  14. Assessment and Recommendations Overcoming in Short-Term Grid System Regulatory

    E-Print Network [OSTI]

    Intelligent Europe (EIE) DG-Grid Report D2 October 2005 #12;Acknowledgement This document is a result.dg-grid.org 2 #12;3 #12;4 #12;Contents Acknowledgement

  15. A Journal of Integrative Biology Short-Term Low-Salinity Tolerance by the Longhorn

    E-Print Network [OSTI]

    Evans, David H.

    ), 20% SW, or 10% SW for 24 or 72 hr. Plasma osmolality, sodium, potassium, and chloride concentrations) are necessary for ion homeostasis. We immunolocalized these proteins to the mitochondrion-rich cell of the gill, these results suggest that down to 20% SW longhorn sculpin are capable of completely regulating ion levels over

  16. The influence of diet on the short-term lipid response to acute exercise

    E-Print Network [OSTI]

    Bounds, Roger Glenn

    1996-01-01T23:59:59.000Z

    (Goodyear 1990, Swank, 1987). The reported triglyceride response to acute exercise has been variable with some claiming no change (Angelopoulos and Robertson 1993). However, in the days (24 to 72 hours) atter an exercise bout, triglyceride has usually... been shown to decrease (Dufaux 1982, Kantor 1984, Cullinane 1982, Thompson 1980). Total cholesterol and LDL-C have been shown to increase (Kantor 1987, Dufaux 1982, Durstine 1983, Cullinane 1982) or decrease (Thompson 1980, Goodyear 1990), leading...

  17. E-Print Network 3.0 - affects short-term recovery Sample Search...

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

    Obviously if the outdated node crashes the recovery process ends... , and how it is affected by the linear recovery interaction. The following section is devoted... present...

  18. Effects of oil treating on shell egg quality during short-term storage

    E-Print Network [OSTI]

    Schwall, Donald Vincent

    1960-01-01T23:59:59.000Z

    of Texas A, 8 c N, College for cooperating in the study and. providing the refrigerated storage fac111ti es. Nr. Fred. Gardner for providing valuable assistance in labora- tory techniques and. presentation of the data. Nr. John W1111am for aiding... test followsa Test ~HH U 't 1 . . . . . . . . . . . . 82. e 2 . . . . . . . . . . . . 81. C 3 . . . . . . . . . . . . 81. 6 5 . . . . . , . . . , . . 78. 5 6 . . . . . , . . . . . . 8O. 5 average . oaoo o ta o 81HO There wa. , no sigrificant d...

  19. Guidelines for improvement on the short term of electricity distribution network regulation for

    E-Print Network [OSTI]

    ...............................................................27 2.2.2 Incremental OPEX + CAPEX due to DG

  20. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    measurements using smart meter household data produce theof program households. Smart meters lower the cost of usingsample sizes with smart meter data can be far larger than

  1. Weight loss success among overweight children : what predicts short-term outcome?

    E-Print Network [OSTI]

    Mockus, Danute Stase

    2010-01-01T23:59:59.000Z

    J, Perry CL, Johnson CC, Williston BJ, Stone EJ, Yang M,J, Perry CL, Johnson CC, Williston BJ, Stone EJ, Yang M,J, Perry CL, Johnson CC, Williston BJ, Stone EJ, Yang M,

  2. Evaluation of short-term climate change prediction in multi-model CMIP5 decadal hindcasts

    E-Print Network [OSTI]

    Webster, Peter J.

    events such as trop- ical cyclone activity. On decadal timescales, some aspects of internal climate skill of individual models have been analyzed separately for multi-year prediction horizons over

  3. The impact of combined heat and noise on short-term retention

    E-Print Network [OSTI]

    Parent, John Scott

    2012-06-07T23:59:59.000Z

    monitor located in the chamber and required only a mouse to provide the responses. The paper and pencil math tasks were performed at the computer desk that contained the monitors. Noise was presented to the subject through normal stereo speakers located... into the chamber after being offered some fluids. In the chamber, the subject was asked to sit down in a chair located in front of the color monitor. The desk in the chamber actually had two color monitors, each one facing away from each other, allowing two...

  4. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    Output power correlation between adjacent wind power plants, Journal of Solarpower system demonstrate that scaling the output from an individual solar

  5. Revised 7/28/10 BRODY SCHOOL OF MEDICINE SHORT TERM VISITOR HEALTH QUESTIONNAIRE

    E-Print Network [OSTI]

    (Mo/Day/Yr) _______________ First M. Last Do you currently have: a cough that produces phlegm? _____ Yes ______ No a cough that produces blood? _____ Yes ______ No a cold or sinus infection? _____ Yea

  6. A view of short term biological testing of petroleum lube oil base stocks

    SciTech Connect (OSTI)

    Lepinske, G.J. (Calumet Industries, Inc., Chicago, IL (US))

    1989-01-01T23:59:59.000Z

    The biological activity of petroleum products has been the subject of continuing scientific studies for several decades. Even prior to 1960, documentation existed which related petroleum products to skin cancer in workers and experimental animals. The Hazard Communication Standard, published in 1983, brought about a general awareness of the situation which had previously been considered an esoteric subject by many. Lube oil refiners who were now required by the Department of Labor to evaluate the potential hazards of their product could look to the IARC Monographs for some direction. Unfortunately, this document is a scientific compendium not worded suitably to become the basis for law, nor was it intended for that purpose. Questions concerning definitions were raised. The author discusses examples of two widely different naphthenic raw distillates. For the evaluation of new candidate distillates this paper presents the key variables which need to be studied.

  7. Short-term Effects of a Partial Drawdown on Fish Condition in a Eutrophic Reservoir

    E-Print Network [OSTI]

    García-Berthou, Emili

    than roach (Rutilus rutilus) to poor water quality and a potential good indicator of water pollution. The weight­length relationship (i.e. condition) of roach and bleak also varied significantly during the draw- down following the same tendency in both species, losing and recovering their weight (4.99% in roach

  8. Implications of Wide-Area Geographic Diversity for Short- Term Variability of Solar Power

    E-Print Network [OSTI]

    Mills, Andrew

    2010-01-01T23:59:59.000Z

    term Variability of PV Plants 3 Methodology 3.1 Estimationis rapidly increasing. PV plants as large as 60 MW arein Europe, while 500 MW PV plants are in various stages of

  9. Implications of geographic diversity for short-term variability and predictability of solar power.

    E-Print Network [OSTI]

    Mills, Andrew

    2013-01-01T23:59:59.000Z

    expe- rience with large PV plants, however, demonstratesrapid changes in the output of PV plants are possible. Earlyis rapidly in- creasing. PV plants as large as 60 MW are

  10. 1 Short-Term Advance Prediction of the San Simeon Earthquake ...

    E-Print Network [OSTI]

    Ilya Zaliapin

    2004-02-14T23:59:59.000Z

    1International Institute of Earthquake Prediction Theory and Mathematical Geophysics, Russian Ac. Sci.,. Moscow; 2Institute of Geophysics and Planetary...

  11. Measuring Short-term Air Conditioner Demand Reductions for Operations and Settlement

    E-Print Network [OSTI]

    Bode, Josh

    2013-01-01T23:59:59.000Z

    Ernest Orlando Lawrence Berkeley National Laboratory. LBNL-2008. Ernest Orlando Lawrence Berkeley National Laboratory.Ernest Orlando Lawrence Berkeley National Laboratory. LBNL-

  12. Effects of Biomass Fuels on Engine & System Out Emissions for Short Term

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPC ENABLE: ECM Summary ECMWear |Characteristics |

  13. Author's personal copy Short-term vegetation response to wildfire in the eastern Sierra Nevada

    E-Print Network [OSTI]

    Hebblewhite, Mark

    in unburned areas (Cook et al., 1994; Sachro et al., 2005), but the timeframe of this transi- tion varies (Cook et al., 1994; Merrill et al.,1980) and forbs (Merrill et al.,1980). Burned areas may also greenup earlier than unburned areas due to increased solar radiation and provide high quality forage early

  14. Business Case for Energy Efficiency in Support of Climate Change Mitigation, Economic and Societal Benefits in India

    SciTech Connect (OSTI)

    McNeil, Michael A.; Ke, Jing; Can, Stephane de la Rue du; Letschert, Virginie E.; McMahon, James E.

    2011-12-02T23:59:59.000Z

    This study seeks to provide policymakers and other stakeholders with actionable information towards a road map for reducing energy consumption cost-effectively. We focus on individual end use equipment types (hereafter referred to as appliance groups) that might be the subject of policies - such as labels, energy performance standards, and incentives - to affect market transformation in the short term, and on high-efficiency technology options that are available today. the high efficiency or Business Case scenario is constructed around a model of cost-effective efficiency improvement. Our analysis demonstrates that a significant reduction in energy consumption and emissions is achievable at net negative cost, that is, as a profitable investment for consumers. Net savings are calculated assuming no additional costs to energy consumption such as carbon taxes. Savings relative to the base case as calculated in this way is often referred to as economic savings potential. So far, the Indian market has responded favorably to government efficiency initiatives, with Indian manufacturers producing a higher fraction of high-efficiency equipment than before program implementation. This study highlights both the financial benefit and the scope of potential impact for adopting this equipment, all of which is already readily available on the market. The approach of the study is to assess the impact of short-term actions on long-term impacts. Short-term market transformation is assumed to occur by 2015, while long-term energy demand reduction impacts are assessed in 2030. In the intervening years, most but not all of the equipment studied will turn over completely. The Business Case concentrates on technologies for which cost-effectiveness can be clearly demonstrated.

  15. Northwest Energy Efficient Manufactured Housing Program Specification Development

    SciTech Connect (OSTI)

    Hewes, T.; Peeks, B.

    2013-02-01T23:59:59.000Z

    The Hood River Passive Project was developed by Root Design Build of Hood River Oregon using the Passive House Planning Package (PHPP) to meet all of the requirements for certification under the European Passive House standards. The Passive House design approach has been gaining momentum among residential designers for custom homes and BEopt modeling indicates that these designs may actually exceed the goal of the U.S. Department of Energy's (DOE) Building America program to reduce home energy use by 30%-50% (compared to 2009 energy codes for new homes). This report documents the short term test results of the Shift House and compares the results of PHPP and BEopt modeling of the project.

  16. US energy industry financial developments, 1994 first quarter

    SciTech Connect (OSTI)

    Not Available

    1994-06-23T23:59:59.000Z

    This report traces key financial trends in the US energy industry for the first quarter of 1994. Financial data (only available for publicly-traded US companies) are included in two broad groups -- fossil fuel production and rate-regulated electric utilities. All financial data are taken from public sources such as energy industry corporate reports and press releases, energy trade publications, and The Wall Street Journal`s, Earnings Digest. Return on equity is calculated from data available from Standard and Poor`s Compustat data service. Since several major petroleum companies disclose their income by lines of business and geographic area. These data are also presented in this report. Although the disaggregated income concept varies by company and is not strictly comparable to corporate income, relative movements in income by lines of business and geographic area are summarized as useful indicators of short-term changes in the underlying profitability of these operations.

  17. World Oil Price Cases (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

    World oil prices in Annual Energy Outlook 2005 are set in an environment where the members of OPEC (Organization of the Petroleum Exporting Countries) are assumed to act as the dominant producers, with lower production costs than other supply regions or countries. Non-OPEC oil producers are assumed to behave competitively, producing as much oil as they can profitability extract at the market price for oil. As a result, the OPEC member countries will be able effectively to set the price of oil when they can act in concert by varying their aggregate production. Alternatively, OPEC members could target a fixed level of production and let the world market determine the price.

  18. Assessment of state plans for Title III of the National Energy Conservation Policy Act (NECPA)

    SciTech Connect (OSTI)

    Not Available

    1982-10-01T23:59:59.000Z

    The purpose of the study reported is to assess the quality of the state plans for managing federal funds granted under the Institutional Conservation Program (ICP) to support energy conservation activities in schools, hospitals, local government buildings, and public care institutions, and to estimate the effects of the various state plans on the overall ability of the national ICP to meet its objectives, which are to save energy, reduce budget pressures on local institutions, and to encourage the use of more abundant fuel types. A further goal was to insure that active state involvement in the short-term CIP effort would foster the longer ragne state commitment to this national policy of energy conservation. The state planws and their energy conservation measure formulas are assessed, and their energy conservation measure scenarios are ranked and analyzed. (LEW)

  19. Transportation Energy Futures: Key Opportunities and Tools for Decision Makers (Brochure)

    SciTech Connect (OSTI)

    Not Available

    2012-12-01T23:59:59.000Z

    The Transportation Energy Futures (TEF) project examines underexplored greenhouse gas-abatement and oil-savings opportunities by consolidating transportation energy knowledge, conducting advanced analysis, and exploring additional opportunities for sound strategic action. Led by NREL, in collaboration with Argonne National Laboratory, the project's primary goal is to provide analysis to accompany DOE-EERE's long-term transportation energy planning by addressing high-priority questions, informing domestic decisions about transportation energy strategies, priorities, and investments. Research and analysis were conducted with an eye toward short-term actions that support long-term energy goals The project looks beyond technology to examine each key question in the context of the marketplace, consumer behavior, industry capabilities, and infrastructure. This updated fact sheet includes a new section on initial project findings.

  20. US energy industry financial developments, First quarter 1995

    SciTech Connect (OSTI)

    NONE

    1995-06-19T23:59:59.000Z

    This report traces key developments in US energy companies` financial performance for the first quarter of 1995. Financial data (only available for publicly-traded US companies) are included in two broad groups -- fossil fuel production and rate-regulated utilities. All financial data are taken from public sources such as corporate reports and press releases, energy trade publications, and The Wall Street Journal`s Earnings Digest. Return on equity is calculated from data available from Standard and Poor`s Compustat data service. Since several major petroleum companies disclose their income by lines of business and geographic area, these data are also presented in this report. Although the disaggregated income concept varies by company and is not strictly comparable to corporate income, relative movements in income by lines of business and geographic area are summarized as useful indicators of short-term changes in the underlying profitability of these operations.

  1. Super Energy Efficiency Design (S.E.E.D.) Home Evaluation

    SciTech Connect (OSTI)

    German, A.; Dakin, B.; Backman, C.; Weitzel, E.; Springer, D.

    2012-12-01T23:59:59.000Z

    This report describes the results of evaluation by the Alliance for Residential Building Innovation (ARBI) Building America team of the 'Super Energy Efficient Design' (S.E.E.D) home, a 1,935 sq. ft., single-story spec home located in Tucson, AZ. This prototype design was developed with the goal of providing an exceptionally energy efficient yet affordable home and includes numerous aggressive energy features intended to significantly reduce heating and cooling loads such as structural insulated panel (SIP) walls and roof, high performance windows, an ERV, an air-to-water heat pump with mixed-mode radiant and forced air delivery, solar water heating, and rooftop PV. Source energy savings are estimated at 45% over the Building America B10 Benchmark. System commissioning, short term testing, long term monitoring and detailed analysis of results was conducted to identify the performance attributes and cost effectiveness of the whole house measure package.

  2. Annual energy outlook 1994: With projections to 2010

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    The Annual Energy Outlook 1994 (AEO94) presents the midterm energy forecasts of the Energy Information Administration (EIA). This year`s report presents projects and analyses of energy supply, demand, and prices through 2010, based for the first time on results from the National Energy Modeling System (NEMS). NEMS is the latest in a series of computer-based energy modeling systems used over the past 2 decades by EIA and its predecessor organization, the Federal Energy Administration, to analyze and forecast energy consumption and supply in the midterm period (about 20 years). Quarterly forecasts of energy supply and demand for 1994 and 1995 are published in the Short-Term Energy Outlook (February 1994). Forecast tables for 2000, 2005, and 2010 for each of the five scenarios examined in the AEO94 are provided in Appendices A through E. The five scenarios include a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices. Appendix F provides detailed comparisons of the AEO94 forecasts with those of other organizations. Appendix G briefly described the NEMS and the major AEO94 forecast assumptions. Appendix H summarizes the key results for the five scenarios.

  3. Aquifer thermal energy storage. International symposium: Proceedings

    SciTech Connect (OSTI)

    NONE

    1995-05-01T23:59:59.000Z

    Aquifers have been used to store large quantities of thermal energy to supply process cooling, space cooling, space heating, and ventilation air preheating, and can be used with or without heat pumps. Aquifers are used as energy sinks and sources when supply and demand for energy do not coincide. Aquifer thermal energy storage may be used on a short-term or long-term basis; as the sole source of energy or as a partial storage; at a temperature useful for direct application or needing upgrade. The sources of energy used for aquifer storage are ambient air, usually cold winter air; waste or by-product energy; and renewable energy such as solar. The present technical, financial and environmental status of ATES is promising. Numerous projects are operating and under development in several countries. These projects are listed and results from Canada and elsewhere are used to illustrate the present status of ATES. Technical obstacles have been addressed and have largely been overcome. Cold storage in aquifers can be seen as a standard design option in the near future as it presently is in some countries. The cost-effectiveness of aquifer thermal energy storage is based on the capital cost avoidance of conventional chilling equipment and energy savings. ATES is one of many developments in energy efficient building technology and its success depends on relating it to important building market and environmental trends. This paper attempts to provide guidance for the future implementation of ATES. Individual projects have been processed separately for entry onto the Department of Energy databases.

  4. Annual energy outlook 1995, with projections to 2010

    SciTech Connect (OSTI)

    NONE

    1995-01-01T23:59:59.000Z

    The Annual Energy Outlook 1995 (AEO95) presents the midterm energy forecasts of the Energy Information Administration (EIA). This year`s report presents projections and analyses of energy supply, demand, and prices through 2010, based on results from the National Energy Modeling System (NEMS). Quarterly forecasts of energy supply and demand for 1995 and 1996 are published in the Short-Term Energy Outlook (February 1995). Forecast tables for the five cases examined in the AEO95 are provided in Appendixes A through C. Appendix A gives historical data and forecasts for selected years from 1992 through 2010 for the reference case. Appendix B presents two additional cases, which assume higher and lower economic growth than the reference case. Appendix C presents two cases that assume higher and lower world oil prices. Appendix D presents a summary of the forecasts in units of oil equivalence. Appendix E presents a summary of household energy expenditures. Appendix F provides detailed comparisons of the AEO95 forecasts with those of other organizations. Appendix G briefly describes NEMS and the major AEO95 forecast assumptions. Appendix H presents a stand-alone high electricity demand case. Appendix 1 provides a table of energy conversion factors and a table of metric conversion factors. 89 figs., 23 tabs.

  5. Sum-Rate Optimal Power Policies for Energy Harvesting Transmitters in an Interference Channel

    E-Print Network [OSTI]

    Tutuncuoglu, Kaya

    2011-01-01T23:59:59.000Z

    This paper considers a two-user Gaussian interference channel with energy harvesting transmitters. Different than conventional battery powered wireless nodes, energy harvesting transmitters have to adapt transmission to availability of energy at a particular instant. In this setting, the optimal power allocation problem to maximize sum throughput within a given deadline is formulated. The convergence of the proposed iterative coordinate descent method for the problem is proved and the short-term throughput maximizing offline power allocation policy is found. Examples for interference regions with known sum capacities are given with directional water-filling interpretations when possible. Next, stochastic data arrivals are addressed. Finally online and/or distributed near-optimal policies are proposed. Performance of the proposed algorithms are demonstrated through simulations.

  6. Energy efficient laboratory fume hood

    DOE Patents [OSTI]

    Feustel, Helmut E. (Albany, CA)

    2000-01-01T23:59:59.000Z

    The present invention provides a low energy consumption fume hood that provides an adequate level of safety while reducing the amount of air exhausted from the hood. A low-flow fume hood in accordance with the present invention works on the principal of providing an air supply, preferably with low turbulence intensity, in the face of the hood. The air flow supplied displaces the volume currently present in the hood's face without significant mixing between the two volumes and with minimum injection of air from either side of the flow. This air flow provides a protective layer of clean air between the contaminated low-flow fume hood work chamber and the laboratory room. Because this protective layer of air will be free of contaminants, even temporary mixing between the air in the face of the fume hood and room air, which may result from short term pressure fluctuations or turbulence in the laboratory, will keep contaminants contained within the hood. Protection of the face of the hood by an air flow with low turbulence intensity in accordance with a preferred embodiment of the present invention largely reduces the need to exhaust large amounts of air from the hood. It has been shown that exhaust air flow reductions of up to 75% are possible without a decrease in the hood's containment performance.

  7. World Oil Prices and Production Trends in AEO2008 (released in AEO2008)

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    Annual Energy Outlook 2008 (AEO) defines the world oil price as the price of light, low-sulfur crude oil delivered in Cushing, Oklahoma. Since 2003, both "above ground" and "below ground" factors have contributed to a sustained rise in nominal world oil prices, from $31 per barrel in 2003 to $69 per barrel in 2007. The AEO2008 reference case outlook for world oil prices is higher than in the AEO2007 reference case. The main reasons for the adoption of a higher reference case price outlook include continued significant expansion of world demand for liquids, particularly in non-OECD (Organization for Economic Cooperation and Development) countries, which include China and India; the rising costs of conventional non-OPEC (Organization of the Petroleum Exporting Countries) supply and unconventional liquids production; limited growth in non-OPEC supplies despite higher oil prices; and the inability or unwillingness of OPEC member countries to increase conventional crude oil production to levels that would be required for maintaining price stability. The Energy Information Administration will continue to monitor world oil price trends and may need to make further adjustments in future AEOs.

  8. Renewable Energy and Energy Efficiency Feasibility Study. . Health and Wellness Center; and the: Renewable Energy and Energy Efficiency Feasibility Study. Stockbridge Munsee Community. Mohican Family Center.

    SciTech Connect (OSTI)

    DeRocher, Andy; Barrnett, Michael

    2014-03-14T23:59:59.000Z

    The results of the Renewable Energy and Energy Efficiency Feasibility Study of Stockbridge Munsee Communitys Health and Wellness Center (HWC) indicate that a variety of renewable energy options and energy conservation measures (ECMs) exist for the facility. A requirement of the Request for Proposal for this study was to assess renewable energy options that could offset 30 to 100 percent of the HWCs energy use. This study identifies that a geothermal system is the most cost effective renewable energy option available to decrease the HWCs energy consumption by 30 to 100 percent. Currently the HWC performs in the lowest 8 percent of buildings in its building category, as scored in the EPA portfolio manager benchmarking tool. Multiple ECM opportunities have been identified with paybacks of less than five years to yield an estimated 25?percent decrease in annual energy consumption. The ECMs within this payback period are estimated to save $26,800 per year with an implementation cost of just $4,650 (0.2 year payback). For the Mohican Family Center document: The results of the Renewable Energy and Energy Efficiency Feasibility Study of Stockbridge Munsee Communitys Mohican Family Center (MFC) indicate that a variety of renewable energy options and energy conservation measures (ECMs) exist for the facility. A requirement of the Request for Proposal for this study was to assess renewable energy options that could offset 30 to 100 percent of the MFCs energy use. This study identifies that a geothermal system is the most cost effective renewable energy option available to decrease the MFCs energy consumption by 30 to 100 percent. Currently the MFC performs better than 80 percent of buildings in its building category, as scored in the EPA portfolio manager benchmarking tool. Multiple ECM opportunities have been identified with short term paybacks to yield an estimated 13?percent decrease in energy consumption. The ECMs within this payback period are estimated to save $3,100 per year with an implementation cost of under $20,000.

  9. Business Case for Energy Efficiency in Support of Climate Change Mitigation, Economic and Societal Benefits in China

    SciTech Connect (OSTI)

    McNeil, Michael A.; Bojda, Nicholas; Ke, Jing; Qin, Yining; de la Rue du Can, Stephane; Fridley, David; Letschert, Virginie E.; McMahon, James E.

    2011-08-18T23:59:59.000Z

    This study seeks to provide policymakers and other stakeholders with actionable information towards a road map for reducing energy consumption cost-effectively. We focus on individual end use equipment types (hereafter referred to as appliance groups) that might be the subject of policies - such as labels, energy performance standards, and incentives - to affect market transformation in the short term, and on high-efficiency technology options that are available today. As the study title suggests, the high efficiency or Business Case scenario is constructed around a model of cost-effective efficiency improvement. Our analysis demonstrates that a significant reduction in energy consumption and emissions is achievable at net negative cost, that is, as a profitable investment for consumers. Net savings are calculated assuming no additional costs to energy consumption such as carbon taxes. Savings relative to the base case as calculated in this way is often referred to as 'economic savings potential'. Chinese energy demand has grown dramatically over the last few decades. While heavy industry still plays a dominant role in greenhouse gas emissions, demand from residential and commercial buildings has also seen rapid growth in percentage terms. In the residential sector this growth is driven by internal migration from the countryside to cities. Meanwhile, income in both urban and rural subsectors allows ownership of major appliances. While residences are still relatively small by U.S. or European standards, nearly all households own a refrigerator, a television and an air conditioner. In the future, ownership rates are not expected to grow as much as in other developing countries, because they are already close to saturation. However, the gradual turnover of equipment in the world's largest consumer market provides a huge opportunity for greenhouse gas mitigation. In addition to residences, commercial floor space has expanded rapidly in recent years, and construction continues at a rapid pace. Growth in this sector means that commercial lighting and HVAC will play an increasingly important role in energy demand in China. The outlook for efficiency improvement in China is encouraging, since the Chinese national and local governments have implemented significant policies to contain energy intensity and announced their intention to continue and accelerate these. In particular, the Chinese appliance standards program, first established in 1989, was significantly strengthened and modernized after the passage of the Energy Conservation Law of 1997. Since then, the program has expanded to encompass over 30 equipment types (including motor vehicles). The current study suggests that, in spite of these efforts, there is significant savings to be captured through wide adoption of technologies already available on the Chinese market. The approach of the study is to assess the impact of short-term actions on long-term impacts. 'Short-term' market transformation is assumed to occur by 2015, while 'long-term' energy demand reduction impacts are assessed in 2030. In the intervening years, most but not all of the equipment studied will turn over completely. Early in 2011, the Chinese government announced a plan to reduce carbon dioxide emissions intensity (per unit GDP) by 16% by 2015 as part of the 12th five year plan. These targets are consistent with longer term goals to reduce emissions intensity 40-45% relative to 2005 levels by 2020. The efforts of the 12th FYP focus on short-term gains to meet the four-year targets, and concentrate mainly in industry. Implementation of cost-effective technologies for all new equipment in the buildings sector thus is largely complementary to the 12th FYP goals, and would provide a mechanism to sustain intensity reductions in the medium and long term. The 15-year time frame is significant for many products, in the sense that delay of implementation postpones economic benefits and mitigation of emissions of carbon dioxide. Such delays would result in putting in place energy-wasting technologies, postponin

  10. Commercial and Industrial Base Intermittent Resource Management Pilot

    E-Print Network [OSTI]

    Kiliccote, Sila

    2011-01-01T23:59:59.000Z

    Economic Dispatch RTUC Real-Time Unit Dispatch Commitment STUC Short Term Unit Commitment TES Thermal Energy Storage

  11. PostScript file created: April 17, 2005 Comparison of short-term and long-term earthquake forecast models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    forecast models for southern California Agn`es Helmstetter1,3 , Yan Y. Kagan2 and David D. Jackson2 1, Columbia University, New York Abstract We consider the problem of forecasting earthquakes on two different time scales: years, and days. We evaluate some published forecast models on these time scales

  12. Short-Term Effects of Experimental Burning and Thinning on Soil Respiration in an Old-Growth,

    E-Print Network [OSTI]

    North, Malcolm

    sustainability and CO2 sequestration, we evaluated the effects of burning and thin- ning treatments on soil application of these forest management practices. Soil respiration, including autotrophic and hetero- trophic and Schlesinger 1992), forest management activities, such as burning and thinning, can also change soil environ

  13. Short-Term Own-Price and Spillover Effects of Distressed Residential Properties: The Case of a Housing Crash

    E-Print Network [OSTI]

    Ahmad, Sajjad

    spillover effects of foreclosure on no-default transactions are based on data from a stable housing-market period. In this paper, we use 2008 transactions from a housing market with a relatively large number transactions, prior to 2008. For markets, such as Las Vegas during 2008, when the market "crashed

  14. Short-term effects of air pollution: a panel study of blood markers in patients with chronic pulmonary disease

    E-Print Network [OSTI]

    2009-01-01T23:59:59.000Z

    monoxide [NO], nitrogen dioxide [NO 2 ], carbon monoxide [monoxide (NO), nitrogen dioxide (NO 2 ), carbon monoxide (dioxide; NO 2 , nitrogen dioxide; CO, carbon monoxide; NO,

  15. Comparative genomics reveals mechanism for short-term and long-term clonal transitions in pandemic Vibrio cholerae

    SciTech Connect (OSTI)

    Chun, Jongsik; Grim, Christopher J.; Hasan, Nur A.; Lee, Je H.; Choi, Seon Y.; Haley, Bradd J.; Taviani, Elisa; Jeon, Yoon-Seong; Kim, Dong W.; Lee, Jae-Hak; Brettin, T.; Bruce, David; Challacombe, Jean; Detter, J. C.; Han, Cliff F.; Munk, A. C.; Chertkov, Olga; Meincke, Linda; Saunders, Elizabeth; Walters, Ronald A.; Huq, Anwar; Nair, G. B.; Colwell, Rita R.

    2009-09-08T23:59:59.000Z

    Vibrio cholerae, the causative agent of cholera, is a bacterium autochthonous to the aquatic environment, and a serious public health threat.

  16. The long-term and the short-term at a cropping municipal sewage sludge disposal facility

    SciTech Connect (OSTI)

    Welby, C.W. (North Carolina State Univ., Raleigh, NC (United States). Dept. of Marine, Earth and Atmospheric Sciences)

    1994-03-01T23:59:59.000Z

    The City of Raleigh, NC, chose land application of municipal sewage sludge as a means of reducing pollution to the Neuse River. The Neuse River Waste Water Treatment Plant (NRWWTP) is located in the Piedmont Province of North Carolina. The soils at the facility are derived largely from the Rolesville Granite. Sewage sludge is applied to over 640 acres of cropland, owned in fee or leased. In making the policy decision for use of the sludge land application method 20 or so years ago, the City had to evaluate the potential for heavy metal accumulation in the soils and plants as well as the potential for ground-water contamination from the nitrate-nitrogen. The city also had to make a policy decision about limiting the discharge of heavy metals to the sewer system. Study of data from monitoring wells demonstrate that well position is a key in determining whether or not nitrate-nitrogen contamination is detected. Data from a three-year study suggest that nitrate-nitrogen moves fairly rapidly t the water table, although significant buildup in nitrogen-nitrogen may take a number of years. Evidence exists suggesting that the time between application of sewage sludge and an increase of nitrate-nitrogen at the water table may be on the order of nine months to a year. It is apparent that in the case of municipal sewage sludge application one can anticipate some nitrate-nitrogen buildup and that the public policy on drinking water standards must recognize this fact.

  17. Short-term and long-term success of electrical cardioversion in atrial fibrillation in managed care system

    E-Print Network [OSTI]

    Kuppahally, Suman S; Foster, Elyse; Shoor, Stanford; Steimle, Anthony E

    2009-01-01T23:59:59.000Z

    electrical cardioversion (logistic regression) Parameter p-value Age: ? 65 vs.electrical cardioversion (logistic regression) Parameter p-value Age: ? 65 and > 65 years Sex: Male vs.

  18. Neurocomputing 70 (2007) 16261629 A biophysical model of short-term plasticity at the calyx of Held

    E-Print Network [OSTI]

    Graham, Bruce

    of Held Matthias H. Henniga,b,?, Michael Postlethwaitec , Ian D. Forsythed , Bruce P. Grahama a Computing November 2006 Abstract The calyx of Held is a giant glutamatergic synapse in the auditory system 2006 Elsevier B.V. All rights reserved. Keywords: Calyx of Held; Synaptic transmission; Synaptic

  19. Acute Respiratory Health Effects in Asthmatic and Nonasthmatic Children Associated with Short-Term Exposure to Air Pollutants

    E-Print Network [OSTI]

    Irwin, Mark E.

    . Environ.Health Perspect.,63, 39-44. Whittemore,A.S., and Korn,E.L. (1980). Asthmaand air pollution-Term Exposure to Air Pollutants Author(s): Lisa Kan, Barry Wiggs, Mark Irwin, Irene Yee Source: The CanadianMemorandumof Intenton TransboundaryAir Pollution(1983). Impactassessment-Work Group I. Final Report,Section 4, pp. 1

  20. Stylosanthes guianensis as a short-term fallow crop for improving upland rice productivity in northern Laos

    E-Print Network [OSTI]

    van Kessel, Chris

    ) to 83 days after rice sowing (DARS) in two experiments. In experiment 1, stylo was grown as a one of 55% when stylo was seeded at the same time as rice (0 DARS). When stylo was seeded later than 15 DARS

  1. Short-term variability of comet C/2012 S1 (ISON) at 4.8 AU from the Sun

    E-Print Network [OSTI]

    Santos-Sanz, Pablo; Morales, Nicols; Duffard, Rene; Pozuelos, Francisco; Moreno, Fernando; Fernndez-Valenzuela, Estela

    2015-01-01T23:59:59.000Z

    We observed comet C/2012 S1 (ISON) during six nights in February 2013 when it was at 4.8 AU from the sun. At this distance and time the comet was not very active and it was theoretically possible to detect photometric variations likely due to the rotation of the cometary nucleus. The goal of this work is to obtain differential photometry of the comet inner coma using different aperture radii in order to derive a possible rotational period. Large field of view images were obtained with a 4k x 4k CCD at the f/3 0.77m telescope of La Hita Observatory in Spain. Aperture photometry was performed in order to get relative magnitude variation versus time. Using calibrated star fields we also obtained ISON's R-magnitudes versus time. We applied a Lomb-Scargle periodogram analysis to get possible periodicities for the observed brightness variations, directly related with the rotation of the cometary nucleus. The comet light curve obtained is very shallow, with a peak-to-peak amplitude of 0.03 $\\pm$ 0.02 mag. A tentativ...

  2. Improved water allocation utilizing probabilistic climate forecasts: Short-term water contracts in a risk management framework

    E-Print Network [OSTI]

    Arumugam, Sankar

    . Thus, integrated supply and demand management can be achieved. In this paper, a single period multiuser, forecast consumers, water managers and reservoir operators, have difficulty interpreting such products in a risk management framework A. Sankarasubramanian,1 Upmanu Lall,2 Francisco Assis Souza Filho,3

  3. High throughput prediction of the long term stability of pharmaceutical macromolecules from short term multi-instrument spectroscopic data

    E-Print Network [OSTI]

    Maddux, Nathaniel

    2013-05-31T23:59:59.000Z

    Diagram (EPD) technique 7 2.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 7 2.2 Review of experimental methods . . . . . . . . . . . . . . . . . . . . . . . . . 11 2.2.1 X-Ray Crystallography (XRC) and Nuclear... Appendix A - DART script used in Chapter 5 135 Appendix B - Regression functions used in Appendix A 164 x List of Figures 2.1 An empirical phase diagram (EPD) assists in the visualization of data set re- sulting from the methods listed in Table 1. Figures A...

  4. SHORT-TERM SEA-LEVEL CHANGES AND COASTAL EROSION PAUL D. KOMAR AND DAVID B. ENFIELD

    E-Print Network [OSTI]

    Nifio are shifts in the storm paths and a temporary rise in sea level. An El Niiio is a breakdown in the western Pacific by the trade winds. The release creates a "wave" of sea-level rise, which first propagates. INTRODUCTION The long-term and progressive rise in sea level has been citedjustifiably as a major cause

  5. Short-term antibiotic treatment has differing long-term impacts on the human throat and gut microbiome

    E-Print Network [OSTI]

    Jakobsson, H.

    2010-01-01T23:59:59.000Z

    microflora in Helicobacter pylori- infected patients. Jantibiotics to eradicate Helicobacter pylori. Ann Intern Mednormal microbiota after Helicobacter pylori treatment. Scand

  6. Combined effects of short-term rainfall patterns and soil texture on nitrogen cycling -- A Modeling Analysis

    SciTech Connect (OSTI)

    Gu, C.; Riley, W.J.

    2009-11-01T23:59:59.000Z

    Precipitation variability and magnitude are expected to change in many parts of the world over the 21st century. We examined the potential effects of intra-annual rainfall patterns on soil nitrogen (N) transport and transformation in the unsaturated soil zone using a deterministic dynamic modeling approach. The model (TOUGHREACT-N), which has been tested and applied in several experimental and observational systems, mechanistically accounts for microbial activity, soil-moisture dynamics that respond to precipitation variability, and gaseous and aqueous tracer transport in the soil. Here, we further tested and calibrated the model against data from a precipitation variability experiment in a tropical system in Costa Rica. The model was then used to simulate responses of soil moisture, microbial dynamics, nitrogen (N) aqueous and gaseous species, N leaching, and N trace-gas emissions to changes in rainfall patterns; the effect of soil texture was also examined. The temporal variability of nitrate leaching and NO, N{sub 2}, and N{sub 2}O effluxes were significantly influenced by rainfall dynamics. Soil texture combined with rainfall dynamics altered soil moisture dynamics, and consequently regulated soil N responses to precipitation changes. The clay loam soil more effectively buffered water stress during relatively long intervals between precipitation events, particularly after a large rainfall event. Subsequent soil N aqueous and gaseous losses showed either increases or decreases in response to increasing precipitation variability due to complex soil moisture dynamics. For a high rainfall scenario, high precipitation variability resulted in as high as 2.4-, 2.4-, 1.2-, and 13-fold increases in NH{sub 3}, NO, N{sub 2}O and NO{sub 3}{sup -} fluxes, respectively, in clay loam soil. In sandy loam soil, however, NO and N{sub 2}O fluxes decreased by 15% and 28%, respectively, in response to high precipitation variability. Our results demonstrate that soil N cycling responses to increasing precipitation variability depends on precipitation amount and soil texture, and that accurate prediction of future N cycling and gas effluxes requires models with relatively sophisticated representation of the relevant processes.

  7. Summary of the recommendations At the January meeting, Dr. Dreyfus listed several important short-term goals the

    E-Print Network [OSTI]

    of a special fund to give the OCRWM increased access to revenues coming into the Nuclear Waste Fund-characterization activities, including underground excavation and surface-based testing, as well as research in other underground excavation, surface-based testing and mapping, thermal testing, and waste package development

  8. A New Porcine Sponge Material for Temporary Embolization: An Experimental Short-Term Pilot Study in Swine

    SciTech Connect (OSTI)

    Louail, B.; Sapoval, M. [Hopital Europeen Georges Pompidou, Department of Cardiovascular Radiology (France)], E-mail: marc.sapoval@egp.aphp.fr; Bonneau, M. [Centre de Recherche en Imagerie Interventionnelle APHP- INRA (France); Wasseff, M. [Hopital Lariboisiere, Department of Pathology (France); Senechal, Q.; Gaux, J-C. [Hopital Europeen Georges Pompidou, Department of Cardiovascular Radiology (France)

    2006-10-15T23:59:59.000Z

    Purpose. To evaluate the safety and efficacy of a porcine-derived gelfoam, Curaspon, for the temporary occlusion of the visceral arteries. Methods. Curaspon was used for the selective embolization of segmentary hepatic, unilateral polar renal, and single lumbar arteries of 10 pigs under general anesthesia. Sequential angiographic checks were carried out and the pigs killed between 3 days and 2 weeks later. Macroscopic and microscopic studies using standard techniques were used to evaluate the immediate efficacy of embolization, duration of and completeness of recanalization on angiography, macroscopic appearance of target-organ ischemia, and microscopic analysis of inflammatory reaction. Results. Immediate arterial occlusion was obtained in all cases. Renal arteries showed a total recanalization in 63% of cases on day 7 and 100% on day 14. Total hepatic recanalization was obtained in 100% of animals on day 7. All lumbar arteries were recanalized on day 14. Microscopic analysis in the kidney revealed a mild inflammatory reaction and a progressive lysis of the Curaspon (87% of samples at day 3 showed a persistence of Curaspon and 5% at day 14). In some cases, localized and partial destruction of the arterial wall was visualized. In the liver the same patterns were observed but resolved more completely and more rapidly. Conclusions. Curaspon is an efficient material for the temporary occlusion of visceral and parietal arteries in pigs. However, arterial aneurysms were observed and a relationship of these with the material cannot be excluded.

  9. Historical and Short-Term Controls on Sulfate Reduction and Alkalinity Generation in Three Aquatic Ecosystems of

    E-Print Network [OSTI]

    Vallino, Joseph J.

    precipitation, pyrite, sediments #12;Introduction First described as acid rain in 1852 by Scottish chemist Angus.19 to 13.47 mEq m-2 y-1 in freshwater sediments. Keywords: Sulfate reduction, alkalinity, acid Smith, all forms of atmospheric acid deposition continue to be an environmental problem faced

  10. Short-term Study Abroad Programs: Where They Came From, How They Work, and Why They Often Don't

    E-Print Network [OSTI]

    Lemmons, Kelly

    2013-12-04T23:59:59.000Z

    This dissertation shows that the ideology of liberalism formed the basis of the Doctrine of Study Abroad (DSA). The DSA was formed in the 1940s and 1950s and teaches that any time spent studying abroad is beneficial and increases tolerance...

  11. Cloud tracking with optical flow for short-term solar forecasting Philip Wood-Bradley, Jos Zapata, John Pye

    E-Print Network [OSTI]

    , photovoltaic systems, and grid regulation (Mathiesen & Kleissl, 2011; Martínez López, et al, 2002). A method apart with a size of 640 by 480 pixels, were processed to determine the time taken for clouds to reach irradiance is essential for the effective operation of many solar applications such as solar thermal systems

  12. Short-Term and Long-Term Technology Needs/Matching Status at Idaho National Engineering and Environmental Laboratory

    SciTech Connect (OSTI)

    S. L. Claggett

    1999-12-01T23:59:59.000Z

    This report identifies potential technology deployment opportunities for the Environmental Management (EM) programs at the Idaho National Engineering and Environmental Laboratory (INEEL). The focus is on identifying candidates for Accelerated Site Technology Deployment (ASTD) proposals within the Environmental Restoration and Waste Management areas. The 86 technology needs on the Site Technology Coordination Group list were verified in the field. Six additional needs were found, and one listed need was no longer required. Potential technology matches were identified and then investigated for applicability, maturity, cost, and performance. Where promising, information on the technologies was provided to INEEL managers for evaluation. Eleven potential ASTD projected were identified, seven for near-term application and four for application within the next five years.

  13. Excuse Policy It is the policy of University Health Services not to provide students with excuses for short-term

    E-Print Network [OSTI]

    Wisconsin at Madison, University of

    therapeutic relationship. This policy helps UHS to direct its finite resources toward providing health care health care. It is in accord with the university policy that does not require its employees to provideExcuse Policy It is the policy of University Health Services not to provide students with excuses

  14. Short-term antibiotic treatment has differing long-term impacts on the human throat and gut microbiome

    SciTech Connect (OSTI)

    Jakobsson, H.; Jernberg, C.; Andersson, A.F.; Sjolund-Karlsson, M.; Jansson, J.K.; Engstrand, L.

    2010-01-15T23:59:59.000Z

    Antibiotic administration is the standard treatment for the bacterium Helicobacter pylori, the main causative agent of peptic ulcer disease and gastric cancer. However, the long-term consequences of this treatment on the human indigenous microbiota are relatively unexplored. Here we studied short- and long-term effects of clarithromycin and metronidazole treatment, a commonly used therapy regimen against H. pylori, on the indigenous microbiota in the throat and in the lower intestine. The bacterial compositions in samples collected over a four year period were monitored by analyzing the 16S rRNA gene using 454-based pyrosequencing and terminal-restriction fragment length polymorphism (T-RFLP). While the microbial communities of untreated control subjects were relatively stable over time, dramatic shifts were observed one week after antibiotic treatment with reduced bacterial diversity in all treated subjects in both locations. While the microbiota of the different subjects responded uniquely to the antibiotic treatment some general trends could be observed; such as a dramatic decline in Actinobacteria in both throat and feces immediately after treatment. Although the diversity of the microbiota subsequently recovered to resemble the pre treatment states, the microbiota remained perturbed in some cases for up to four years post treatment. In addition, four years after treatment high levels of the macrolide resistance gene erm(B) were found, indicating that antibiotic resistance, once selected for, can persist for longer periods of time than previously recognized. This highlights the importance of a restrictive antibiotic usage in order to prevent subsequent treatment failure and potential spread of antibiotic resistance.

  15. Social performance as a predictor of peer nominations in newly formed groups: a short-term longitudinal study

    E-Print Network [OSTI]

    Kinnee, Chandra Leigh Spencer

    1995-01-01T23:59:59.000Z

    : Make Friends, Keep Friends, Parents, Siblings, School, work, and Problem Behavior. High scores on these scales are indicative of inadequacy in functioning in that area. Subjects were academically atrisk adolescents who participated in a university...

  16. National Renewable Energy Laboratory Innovation for Our Energy Future

    E-Print Network [OSTI]

    and Integration Studies Our researchers measure the impact of wind and solar power plant output and the additional to predict wind plant output remains low for short-term (hourly or daily) operation in wind power plants. We informed deci- sions when considering wind power output for power plants. Our research includes efforts

  17. Evaluation of Affordable Prototype Houses at Two Levels of Energy Efficiency

    SciTech Connect (OSTI)

    Hendron, R.; Barker, G.; Hancock, E.; Reeves, P.

    2006-10-01T23:59:59.000Z

    Two high performance prototype houses were built in Carbondale, Colorado, as part of the U.S. Department of Energy's Building America (BA) Program. Each prototype was a 1256 ft2 (117 m2), 1-story, 3-bedroom house, and met the local requirements for affordable housing. The National Renewable Energy Laboratory (NREL) performed short-term field testing and DOE-2.2 simulations in support of this project at the end of December 2004. We also installed long-term monitoring equipment in one of the houses, and are currently tracking the performance of key building systems under occupied conditions. One of the houses (designated H1) included a package of cost-effective energy efficiency features that placed it well above the Energy Star level, targeting a Home Energy Rating System (HERS) score of 88-89. The other (designated H2) was a BA research house, targeting a HERS score of 94-95, and 45% whole-house energy savings compared to the BA Benchmark. Preliminary results from the field evaluation indicate that the energy savings for both houses will exceed the design targets established for the project, although the performance of certain building systems, including the ventilation and foundation systems, leave some room for improvement.

  18. Renewable Energy | Department of Energy

    Office of Environmental Management (EM)

    Technologies Renewable Energy Renewable Energy Renewable energy increases energy security, creates jobs, and powers our clean energy economy. Renewable energy increases energy...

  19. Energy Efficiency Standards and Labels in North America: Opportunities for Harmonization

    SciTech Connect (OSTI)

    Vanwiemcgrory, Laura; Wiel, Stephen; Van Wie McGrory, Laura; Harrington, Lloyd

    2002-05-16T23:59:59.000Z

    To support the North American Energy Working Group's Expert Group on Energy Efficiency (NAEWG-EE), USDOE commissioned the Collaborative Labeling and Appliance Standards Program (CLASP) to prepare a resource document comparing current standards, labels, and test procedure regulations in Canada, Mexico, and the United States. The resulting document reached the following conclusions: Out of 24 energy-using products for which at least one of the three countries has energy efficiency regulations, three products -- refrigerators/freezers, split system central air conditioners, and room air conditioners -- have similar or identical minimum energy performance standards (MEPS) in the three countries. These same three products, as well as three-phase motors, have similar or identical test procedures throughout the region. There are 10 products with different MEPS and test procedures, but which have the short-term potential to develop common test procedures, MEPS, and/or labels. Three other noteworthy areas where possible energy efficiency initiatives have potential for harmonization are standby losses, uniform endorsement labels, and a new standard or label on windows. This paper explains these conclusions and presents the underlying comparative data.

  20. Indiana Energy Energy Challenges

    E-Print Network [OSTI]

    Ginzel, Matthew

    Indiana Energy Conference Energy Challenges And Opportunities November 5, 2013 ­ 9:00 a.m. ­ 5:00 p spectrum of business sectors including: Energy Community Manufacturing Policymakers Finance Engineering of Energy & Water: A Well of Opportunity Our water and energy systems are inextricably linked. Energy