Sample records for actual projected price

  1. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b. Coal Prices to

  2. General Project Sequence The following are typical steps on many projects. Actual required steps may vary from project to project

    E-Print Network [OSTI]

    Mather, Patrick T.

    General Project Sequence The following are typical steps on many projects. Actual required steps may vary from project to project depending upon the scope, complexity, and specific features. Time periods indicated will vary depending on the nature of the project and needs of the user group

  3. Table 14a. Average Electricity Prices, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0

  4. Table 14b. Average Electricity Prices, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0b. Average

  5. Table 14a. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b. CoalTotal:::a.

  6. Table 14b. Average Electricity Prices, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b.b. Average

  7. Politics, Public Opinion, and Project Design in California Road Pricing

    E-Print Network [OSTI]

    Smirti, Megan; Evans, Alexandra; Gougherty, Michael; Morris, Eric

    2007-01-01T23:59:59.000Z

    Unpublished Data) 13. Beal, Dan. Managing Director, Publicthe project is debated. Dan Beal (13) of the Automobile Clubagainst lifeline pricing. Beal (13) asserts that the

  8. A REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY

    E-Print Network [OSTI]

    Duffy, Ken

    deterministic forward commodity price which, in most cases, historical data demonstrates to be quite volatileA REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY Meimei Zhang and operating cash flow. This industry is usually considered high risk because of historically volatile

  9. An analysis of appraised values and actual transaction prices in the US CMBS market

    E-Print Network [OSTI]

    Dolan, Yili Zhong

    2007-01-01T23:59:59.000Z

    This thesis addresses the characteristics of transaction-based indices and appraisal-based indices and compares the difference between appraisal and transaction price in the United States Commercial Mortgage-Backed Securities ...

  10. Project evaluation : a practical asset pricing method

    E-Print Network [OSTI]

    Jacoby, Henry D.

    1992-01-01T23:59:59.000Z

    This paper presents a practical approach to project evaluation using techniques of modern financial economics, with a sample application to oil development under a complex tax system. The method overcomes shortcomings of ...

  11. Enrolment Report 2005-06: Actual and Projected Enrolments A. Preamble

    E-Print Network [OSTI]

    Enrolment Report 2005-06: Actual and Projected Enrolments A. Preamble In previous years, current the planning and funding of enrolment growth during that period can be found in Appendix A. C. 2005-06-time. In terms of full-time equivalents, the 2005-06 level of 60,973 FTEs represents an 82% increase in enrolment

  12. The Falling Price of Utility-Scale Solar Photovoltaic (PV) Projects...

    Office of Environmental Management (EM)

    Solar Photovoltaic (PV) Projects The Falling Price of Utility-Scale Solar Photovoltaic (PV) Projects Data courtesy of National Renewable Energy Lab. Chart by Daniel Wood. View...

  13. Photovoltaic (PV) Pricing Trends: Historical, Recent, and Near-Term Projections

    SciTech Connect (OSTI)

    Feldman, D.; Barbose, G.; Margolis, R.; Wiser, R.; Darghouth, N.; Goodrich, A.

    2012-11-01T23:59:59.000Z

    This report helps to clarify the confusion surrounding different estimates of system pricing by distinguishing between past, current, and near-term projected estimates. It also discusses the different methodologies and factors that impact the estimated price of a PV system, such as system size, location, technology, and reporting methods.These factors, including timing, can have a significant impact on system pricing.

  14. Application of price uncertainty quantification models and their impacts on project evaluations

    E-Print Network [OSTI]

    Fariyibi, Festus Lekan

    2006-10-30T23:59:59.000Z

    (EIA),16 the price of West Texas Intermediate (WTI) crude oil is projected to average $68 per barrel in both 2006 and 2007. 2.2 Uncertainty in Petroleum Project Evaluations The literature indicates an informal distinction between ?risk...

  15. Real Option Pricing with Mean-Reverting Investment and Project Value

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

    to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct resultReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract to invest in a project enjoy a long and dis- tinguished history. The classical work of McDonald and Siegel

  16. Estimating the effect of future oil prices on petroleum engineering project investment yardsticks.

    E-Print Network [OSTI]

    Mendjoge, Ashish V

    2004-09-30T23:59:59.000Z

    did not reflect the true volatility in crude oil prices. The name posted oil price was derived from a sheet that was posted in a producing field. The WTI price data were collected from Energy Information Administration (EIA) website25. EIA... projects; we correlated historical expenses data with oil price. Figs. 3.3 and 3.4 are graphs of the production and drilling costs correlations with oil price. The historical oilfield drilling and production data was taken from EIA website and the Energy...

  17. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0 Tablea. Coal

  18. Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0 Tablea. Coalb.

  19. Table 7a. Natural Gas Price, Electric Power Sector, Actual vs. Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shale gas:: Crude:a.

  20. Table 7b. Natural Gas Price, Electric Power Sector, Actual vs. Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shale gas::

  1. Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15: Nonassociated:a.

  2. "Table 7a. Natural Gas Price, Electric Power Sector, Actual vs. Projected"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Total

  3. "Table 7b. Natural Gas Price, Electric Power Sector, Actual vs. Projected"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Totalb.

  4. Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections 2013 Edition (Presentation)

    SciTech Connect (OSTI)

    Feldman, D.; Margolis, R.; James, T.; Goodrich, A.; Barbose, G.; Dargouth, N.; Weaver, S.; Wiser, R.

    2013-09-01T23:59:59.000Z

    This briefing provides a high-level overview of historical, recent, and projected near-term PV system pricing trends in the United States, drawing on several ongoing research activities from the Lawrence Berkeley National Laboratory and the National Renewable Energy Laboratory. It also discusses the different methodologies and factors that impact the estimated price of a PV system, such as system size, location, technology, and reporting methods. These factors, including timing, can have a significant impact on system pricing.

  5. Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections. 2014 Edition (Presentation)

    SciTech Connect (OSTI)

    Feldman, D.; Barbose, G.; Margolis, R.; James, T.; Weaver, S.; Darghouth, N.; Fu, R.; Davidson, C.; Booth, S.; Wiser, R.

    2014-09-01T23:59:59.000Z

    This presentation, based on research at Lawrence Berkeley National Laboratory and the National Renewable Energy Laboratory, provides a high-level overview of historical, recent, and projected near-term PV pricing trends in the United States focusing on the installed price of PV systems. It also attempts to provide clarity surrounding the wide variety of potentially conflicting data available about PV system prices. This PowerPoint is the third edition from this series.

  6. Real Option Pricing with Mean-Reverting Investment and Project Value

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

    is the valuation of the option to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it wouldReal Option Pricing with Mean-Reverting Investment and Project Value Sebastian Jaimungal , Max

  7. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected 2004

  8. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected 20044 and

  9. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected 20044

  10. Math 115 Excel Group Project 3 Worksheet Price Elasticity of Demand: U.S. Demand for Gasoline

    E-Print Network [OSTI]

    Newberger, Florence

    Math 115 Excel Group Project 3 Worksheet Price Elasticity of Demand: U.S. Demand for Gasoline 1 for Gasoline 2 4. Consider the two price-demand graphs below. The labels give the x-value. Which graph for Gasoline 3 6. Jewelry This quote is from the article "Americans Snap Up Gold Jewelry as Metal's Price Sinks

  11. Would have been consumed without measures indicated Actually consumed (2013-2014 projected) Adopted goal

    E-Print Network [OSTI]

    Barrett, Jeffrey A.

    ' Climate Commitment Solar PV Phase I Source+SiteEnergy(billionsofBTUs) Inaugural partner President Obama by 30% in new construction Thermal energy storage Combined heat and power plant Statewide Energy Partnership expanded Statewide Energy Partnership launched Campus-funded energy projects Flex Your Power "Best

  12. AEP Ohio gridSMART Demonstration Project Real-Time Pricing Demonstration Analysis

    SciTech Connect (OSTI)

    Widergren, Steven E.; Subbarao, Krishnappa; Fuller, Jason C.; Chassin, David P.; Somani, Abhishek; Marinovici, Maria C.; Hammerstrom, Janelle L.

    2014-02-01T23:59:59.000Z

    This report contributes initial findings from an analysis of significant aspects of the gridSMART® Real-Time Pricing (RTP) – Double Auction demonstration project. Over the course of four years, Pacific Northwest National Laboratory (PNNL) worked with American Electric Power (AEP), Ohio and Battelle Memorial Institute to design, build, and operate an innovative system to engage residential consumers and their end-use resources in a participatory approach to electric system operations, an incentive-based approach that has the promise of providing greater efficiency under normal operating conditions and greater flexibility to react under situations of system stress. The material contained in this report supplements the findings documented by AEP Ohio in the main body of the gridSMART report. It delves into three main areas: impacts on system operations, impacts on households, and observations about the sensitivity of load to price changes.

  13. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to

  14. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfur Content,e.7,1.1.

  15. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfur

  16. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary

  17. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net

  18. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net3 and

  19. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net3

  20. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net32005

  1. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary.a.

  2. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary.a.a.

  3. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:

  4. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3 and

  5. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3 and4

  6. ,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3

  7. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3b.

  8. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3b.b.

  9. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3b.b.2b.

  10. ,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"

  11. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected6"

  12. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

    Deacon, R.T.; Mead, W.J.; Agarwal, V.B.

    1980-02-01T23:59:59.000Z

    The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

  13. 1973 projections of consumption, production, prices and crop values for Texas winter lettuce and early spring onions

    E-Print Network [OSTI]

    Furrh, Samuel Roger

    1970-01-01T23:59:59.000Z

    ved as to style and content by Ch irman of Committee) / (Head of epartment) (Member n (Member) Mem r (Member) August, 1970 ABSTRACT 1973 Projections of Consumption, Production, Prices and Crop Values for Texas Winter Lettuce and Early Spring... On' ons. (August 1970) Samuel Roger Furrh, B. S. , Texas A&M University Directed by: Dr. Marshall R. Godwin The purpose of this study was to provide information to Texas winter lettuce and early spring oni. on producers that would aid them...

  14. Forecasting Prices andForecasting Prices and Congestion forCongestion for

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    80 100 120 140 160 180 20 30 40 50 60 70 80 90 100 110 Hours Price($/MWh) ANN/ARMA Actual Price ANN 0

  15. PowerProjections2003(avgusing5-03water,BrokerPrices)(amended...

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

    jections2003(avgusing5-03water,BrokerPrices)(amended).xls SLIP Energy WY Gross Gen from Hydro LP Dolores Gen. Total SLIP Gross Gen Avg. Plant Use SLIP Net Gen @ Plant Losses SLIP...

  16. Prices and Price Setting.

    E-Print Network [OSTI]

    R.P. Faber (Riemer)

    2010-01-01T23:59:59.000Z

    ??abstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects… (more)

  17. From Elevated Freeway to Linear Park: Land Price Impacts of Seoul, Korea's CGC Project

    E-Print Network [OSTI]

    Kang, Chang Deok; Cervero, Robert

    2008-01-01T23:59:59.000Z

    this $313 million stream-restoration project, calling it “ademolition and stream restoration was US$313 million. Figurewas demolished and the stream restoration/linear park

  18. Regional variations in US residential sector fuel prices: implications for development of building energy performance standards

    SciTech Connect (OSTI)

    Nieves, L.A.; Tawil, J.J.; Secrest, T.J.

    1981-03-01T23:59:59.000Z

    The Notice of Proposed Rulemaking for Energy Performance Standards for New Buildings presented life-cycle-cost based energy budgets for single-family detached residences. These energy budgets varied with regional climatic conditions but were all based on projections of national average prices for gas, oil and electricity. The Notice of Proposed Rulemaking indicated that further analysis of the appropriateness of various price measures for use in setting the Standards was under way. This part of that ongoing analysis addresses the availability of fuel price projections, the variation in fuel prices and escalation rates across the US and the effects of aggregating city price data to the state, Region, or national level. The study only provides a portion of the information required to identify the best price aggregation level for developing of the standards. The research addresses some of the economic efficiency considerations necessary for design of a standard that affects heterogeneous regions. The first section discusses the effects of price variation among and within regions on the efficiency of resource allocation when a standard is imposed. Some evidence of the extreme variability in fuel prices across the US is presented. In the second section, time series, cross-sectional fuel price data are statistically analyzed to determine the similarity in mean fuel prices and price escalation rates when the data are treated at increasing levels of aggregation. The findings of this analysis are reported in the third section, while the appendices contain price distributions details. The last section reports the availability of price projections and discusses some EIA projections compared with actual prices.

  19. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Innovation and the price of wind energy in the US. ” Energythe impact of energy price changes on wind turbine prices.Costs 3.6 Energy Prices Life-cycle analyses of wind projects

  20. ,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Assessment Area,"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-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), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfur Content,e.7,1.

  1. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and

  2. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary 2010"

  3. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary

  4. ,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary3a. January

  5. Application for CHE-CCE 2012 Summer Internship Title of project: "Public Acceptance of Congestion Pricing of Transportation"

    E-Print Network [OSTI]

    Keinan, Alon

    Pricing of Transportation" Worksite Location: Ithaca, NY Faculty sponsor: Rick Geddes County Cornell standards for cars and light trucks reduce greenhouse gas emissions and enhance energy independence the acceptance of variable transportation pricing. This includes extant studies that utilize data from telephone

  6. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    2.3 Wholesale Price vs. Retailof Adjustment - Regular Price, Sales Price and Wholesaleand Vertical Structure -Wholesale price (Weeks)100 Price

  7. Milk Pricing

    E-Print Network [OSTI]

    Anderson, David P.; Haigh, Michael; Stockton, Matthew; Schwart Jr., Robert B.

    2001-09-10T23:59:59.000Z

    This publication discusses the federal orders that govern the marketing of milk. The production location and form of the milk product affect the way it is priced. The different classes of milk and their prices are explained in detail....

  8. Cheese Prices

    E-Print Network [OSTI]

    Schwart Jr., Robert B.; Anderson, David P.; Knutson, Ronald D.

    2003-08-25T23:59:59.000Z

    Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

  9. Regular price

    E-Print Network [OSTI]

    D-LINK DWL-1000AP 802.11B Wireless LAN Access Point 11Mbps Best Deal On Earth! Regular price: $399.00. Sale price: $234.00. DWL-120> D-LINK ...

  10. EXPLORATION Actual Estimate

    E-Print Network [OSTI]

    FY 2015 FY 2016 FY 2017 FY 2013 President's Budget Request 3,821.2 3,712.8 3,932.8 4,076.5 4,076.5 4 Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 FY 2013EXPLORATION EXP-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY 2014

  11. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15T23:59:59.000Z

    A contract with K-class pricing divides a large set of goods or services into K classes and assigns a single price to any element of a class. Class pricing can be efficient when several different versions may be traded and ...

  12. Utility-Scale Solar 2012: An Empirical Analysis of Project Cost, Performance, and Pricing Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01T23:59:59.000Z

    cases, is competitive with wind power projects in that sameother technologies like wind power, efficiency improvementssome cases, competitive with wind power (Wiser and Bolinger

  13. SPACE TECHNOLOGY Actual Estimate

    E-Print Network [OSTI]

    SPACE TECHNOLOGY TECH-1 Actual Estimate Budget Authority (in $ millions) FY 2011 FY 2012 FY 2013 FY.6 29.5 29.5 29.5 29.5 29.5 29.5 Crosscutting Space Tech Development 120.4 187.7 293.8 272.1 266.6 259.7 247.0 Exploration Technology Development 144.6 189.9 202.0 215.5 215.7 214.5 216.5 Notional SPACE

  14. Table 13. Coal Production, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b. CoalTotal:

  15. Table 22. Energy Intensity, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome toTotal Delivered Energy

  16. Accounting for fuel price risk: Using forward natural gas prices instead of gas price forecasts to compare renewable to natural gas-fired generation

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13T23:59:59.000Z

    Against the backdrop of increasingly volatile natural gas prices, renewable energy resources, which by their nature are immune to natural gas fuel price risk, provide a real economic benefit. Unlike many contracts for natural gas-fired generation, renewable generation is typically sold under fixed-price contracts. Assuming that electricity consumers value long-term price stability, a utility or other retail electricity supplier that is looking to expand its resource portfolio (or a policymaker interested in evaluating different resource options) should therefore compare the cost of fixed-price renewable generation to the hedged or guaranteed cost of new natural gas-fired generation, rather than to projected costs based on uncertain gas price forecasts. To do otherwise would be to compare apples to oranges: by their nature, renewable resources carry no natural gas fuel price risk, and if the market values that attribute, then the most appropriate comparison is to the hedged cost of natural gas-fired generation. Nonetheless, utilities and others often compare the costs of renewable to gas-fired generation using as their fuel price input long-term gas price forecasts that are inherently uncertain, rather than long-term natural gas forward prices that can actually be locked in. This practice raises the critical question of how these two price streams compare. If they are similar, then one might conclude that forecast-based modeling and planning exercises are in fact approximating an apples-to-apples comparison, and no further consideration is necessary. If, however, natural gas forward prices systematically differ from price forecasts, then the use of such forecasts in planning and modeling exercises will yield results that are biased in favor of either renewable (if forwards < forecasts) or natural gas-fired generation (if forwards > forecasts). In this report we compare the cost of hedging natural gas price risk through traditional gas-based hedging instruments (e.g., futures, swaps, and fixed-price physical supply contracts) to contemporaneous forecasts of spot natural gas prices, with the purpose of identifying any systematic differences between the two. Although our data set is quite limited, we find that over the past three years, forward gas prices for durations of 2-10 years have been considerably higher than most natural gas spot price forecasts, including the reference case forecasts developed by the Energy Information Administration (EIA). This difference is striking, and implies that resource planning and modeling exercises based on these forecasts over the past three years have yielded results that are biased in favor of gas-fired generation (again, presuming that long-term stability is desirable). As discussed later, these findings have important ramifications for resource planners, energy modelers, and policy-makers.

  17. Utility-Scale Solar 2012: An Empirical Analysis of Project Cost, Performance, and Pricing Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2014-01-01T23:59:59.000Z

    Treasury Department’s Section 1603 Grant database, data frompilot projects, and based on Section 1603 grant data, havewith the help of the Section 1603 grant program) their heat

  18. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

    Small Regular Price Changes . . . . . . . . . . . . . . .4 The Cyclicality of Effective Prices2.3 Wholesale Price vs. Retail

  19. Essays on Three Price Judgments: Price Fairness, Price Magnitude, and Price Expectation.

    E-Print Network [OSTI]

    Bhowmick, Sandeep

    2010-01-01T23:59:59.000Z

    ??This dissertation addresses three important price judgments: price fairness, price magnitude, and price expectation. Developed over three chapters, the main objective of this research is… (more)

  20. The Impact of Tax Shocks and Oil Price Volatility on Risk - A Study of North Sea Oilfield Projects 

    E-Print Network [OSTI]

    Kretzschmar, Gavin Lee; Moles, Peter

    2006-01-01T23:59:59.000Z

    We examine the impact of market volatility and increased fiscal take on risk in strategic natural resource projects. An increase in 2006 UK oilfield taxation is used as a natural experiment for assessing the impact of a fiscal increase on oilfield...

  1. EA-1898: Southwest Regional Partnership on Carbon Sequestration Phase III Gordon Creek Project near Price, Utah in Carbon County

    Broader source: Energy.gov [DOE]

    This EA will evaluate the environmental impacts of a proposal for Phase III field deployment to demonstrate commercial-scale carbon storage technologies.This Phase III large-scale carbon dioxide injection project will combine science and engineering from many disciplines to successfully sequester and monitor carbon storage. [NOTE: This EA has been cancelled].

  2. World Oil Prices in AEO2007 (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01T23:59:59.000Z

    Over the long term, the Annual Energy Outlook 2007 (AEO) projection for world oil prices -- defined as the average price of imported low-sulfur, light crude oil to U.S. refiners -- is similar to the AEO2006 projection. In the near term, however, AEO2007 projects prices that are $8 to $10 higher than those in AEO2006.

  3. Pollution and the price of power

    SciTech Connect (OSTI)

    Dewees, D.N. [University of Toronto, Toronto, ON (Canada). Dept. of Economics

    2008-07-01T23:59:59.000Z

    This study analyses the un-priced environmental harm caused by generating electricity from fossil fuels in the ECAR control region south of the Great Lakes in 2004 and again in 2015 when the recent Clean Air Interstate Rule will have its full effect. Using existing damage values, we estimate wholesale electricity under-pricing for coal-fired plants at about $40 per MWh in 2004, almost as much again as the $45/MWh actual price. Averaging across all fuels, the price of electricity was more than $30/MWh too low. The under-pricing will still be $18/MWh for coal plants and $15 for all generation sources in 2015, a decade after CAIR was adopted. Recognizing this environmental price now could reduce pollution levels, increase energy conservation and lead to wiser choices of new generation technology.

  4. Table 10. Natural Gas Net Imports, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for

  5. Table 12. Total Coal Consumption, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0 Tablea.Total

  6. Table 13. Coal Production, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0 Tablea.Total:

  7. Table 15. Total Electricity Sales, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0b.Total

  8. Table 16. Total Energy Consumption, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statistics for0b.Total:1Total

  9. Table 22. Energy Intensity, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: ReportedEnergy Intensity,

  10. Table 6. Petroleum Net Imports, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shale gas:

  11. Table 9. Natural Gas Production, Projected vs. Actual Projected

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shaleMajor U.S.

  12. Understanding Wind Turbine Price Trends in the U.S. Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2013-01-01T23:59:59.000Z

    Innovation and the price of wind energy in the US. ” Energy3.6 Energy Prices Life-cycle analyses of wind projects findEnergy Finance (“Bloomberg NEF”). 2011c. Wind Turbine Price

  13. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crudein predicting quarterly real oil price change. variable real

  14. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),percent change in real oil price. Figure 3. Price of crude023 Understanding Crude Oil Prices James D. Hamilton June

  15. Wind Power Price Trends in the United States

    E-Print Network [OSTI]

    Bolinger, Mark

    2010-01-01T23:59:59.000Z

    price of power from new U.S. wind projects higher in 2009.should eventually help wind power regain the downward pricein Modern Energy Review] Wind Power Price Trends in the

  16. Making the Traffic Operations Case for Congestion Pricing: Operational Impacts of Congestion Pricing

    SciTech Connect (OSTI)

    Chin, Shih-Miao [ORNL; Hu, Patricia S [ORNL; Davidson, Diane [ORNL

    2011-02-01T23:59:59.000Z

    Congestion begins when an excess of vehicles on a segment of roadway at a given time, resulting in speeds that are significantly slower than normal or 'free flow' speeds. Congestion often means stop-and-go traffic. The transition occurs when vehicle density (the number of vehicles per mile in a lane) exceeds a critical level. Once traffic enters a state of congestion, recovery or time to return to a free-flow state is lengthy; and during the recovery process, delay continues to accumulate. The breakdown in speed and flow greatly impedes the efficient operation of the freeway system, resulting in economic, mobility, environmental and safety problems. Freeways are designed to function as access-controlled highways characterized by uninterrupted traffic flow so references to freeway performance relate primarily to the quality of traffic flow or traffic conditions as experienced by users of the freeway. The maximum flow or capacity of a freeway segment is reached while traffic is moving freely. As a result, freeways are most productive when they carry capacity flows at 60 mph, whereas lower speeds impose freeway delay, resulting in bottlenecks. Bottlenecks may be caused by physical disruptions, such as a reduced number of lanes, a change in grade, or an on-ramp with a short merge lane. This type of bottleneck occurs on a predictable or 'recurrent' basis at the same time of day and same day of week. Recurrent congestion totals 45% of congestion and is primarily from bottlenecks (40%) as well as inadequate signal timing (5%). Nonrecurring bottlenecks result from crashes, work zone disruptions, adverse weather conditions, and special events that create surges in demand and that account for over 55% of experienced congestion. Figure 1.1 shows that nonrecurring congestion is composed of traffic incidents (25%), severe weather (15%), work zones, (10%), and special events (5%). Between 1995 and 2005, the average percentage change in increased peak traveler delay, based on hours spent in traffic in a year, grew by 22% as the national average of hours spent in delay grew from 36 hours to 44 hours. Peak delay per traveler grew one-third in medium-size urban areas over the 10 year period. The traffic engineering community has developed an arsenal of integrated tools to mitigate the impacts of congestion on freeway throughput and performance, including pricing of capacity to manage demand for travel. Congestion pricing is a strategy which dynamically matches demand with available capacity. A congestion price is a user fee equal to the added cost imposed on other travelers as a result of the last traveler's entry into the highway network. The concept is based on the idea that motorists should pay for the additional congestion they create when entering a congested road. The concept calls for fees to vary according to the level of congestion with the price mechanism applied to make travelers more fully aware of the congestion externality they impose on other travelers and the system itself. The operational rationales for the institution of pricing strategies are to improve the efficiency of operations in a corridor and/or to better manage congestion. To this end, the objectives of this project were to: (1) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the study of actual projects, and (2) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the use of modeling and other analytical methods. Specifically, the project was to identify credible analytical procedures that FHWA can use to quantify the impacts of various congestion pricing strategies on traffic flow (throughput) and congestion.

  17. Pricing trends in the US market for wholesale power

    SciTech Connect (OSTI)

    Geschwind, D.P.; Flucke, J.M. [Burns & McDonnell, Kansas City, MO (United States)

    1996-12-31T23:59:59.000Z

    Electricity markets in the United States have undergone an interesting transformation over the last several years. With the Energy Policy Act of 1992, Congress set the stage for competition in the wholesale market for electricity. No longer could one utility hold another utility hostage by denying it transmission access. Through increased choices of suppliers, purchasers of wholesale power have, in many cases, been able to lower their power costs by purchasing power on the open market, rather than purchasing power solely from an adjacent utility. Burns & McDonnell has worked with many wholesale power purchasers over recent years to evaluate the available options for lowering their power costs. In many of these evaluations, bid solicitations were conducted to identify specific wholesale power purchase options. Through these projects, Burns & McDonnell has been able to collect a substantial amount of data on the offered prices for wholesale power over the last several years. The purpose of this paper is to compare the purchase power data collected by Burns & McDonnell over the last several years in evaluating resource options for electric utilities. Reviews of this data suggest a declining pricing trend that reflects increasing levels of competition in the wholesale power market. The paper also illustrates the difficulty in constructing new generation that can produce electricity at a cost below that of the wholesale power market. Finally, the paper addresses the difference between average cost and marginal cost pricing as it relates to the cost of producing wholesale power for sale. The paper discusses the idea that some participants in the wholesale power market may actually be offering power for prices that are lower than their cost of producing electricity. The advantages and disadvantages of this pricing approach are examined.

  18. Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

  19. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

    Perez-Arriaga, I.J. [National Electric Regulatory Commission, Madrid (Spain)] [National Electric Regulatory Commission, Madrid (Spain); Meseguer, C. [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica] [Univ. Pontificia Comillas, Madrid (Spain). Inst. de Investigacion Tecnologica

    1997-05-01T23:59:59.000Z

    Wholesale marginal electricity prices are being used in several actual competitive generation markets worldwide, both to remunerate generators and to charge consumption. These prices must account not only for energy, but also for guarantee of supply in the long and the short term. This paper: (a) provides a sound conceptual and quantitative foundation for wholesale pricing based on generation services, where any existing restrictions in operation or planning in real power markets are accounted for, (b) clearly establishes the relationship between short term marginal costs, long term marginal costs and optimal wholesale electricity prices, and (c) identifies the reasons for mismatches in cost recovery with marginal generation prices. The theoretical results are verified with a detailed realistic power system model.

  20. PRICE GOUGING | Department of Energy

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

    PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

  1. Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Derivation of Locational Marginal Prices for Restructured Wholesale Power Markets Haifeng Liu restructured wholesale power markets, the detailed derivation of LMPs as actually used in industry practice Operator (MISO). Keywords: Locational marginal pricing, wholesale power market, AC optimal power flow, DC

  2. Weighing the Costs and Benefits of Renewables Portfolio Standards: A Comparative Analysis of State-Level Policy Impact Projections

    E-Print Network [OSTI]

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-01T23:59:59.000Z

    24 Wholesale Energy and Capacity Price Changes Projected byImpacts to Alternative Wholesale Electric Price Scenarios..24 Effect of Wholesale Market Price Reductions on RPS Rate

  3. STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

  4. EXPLAINING THE PRICE OF VOLUNTARY CARBON OFFSETS MARC N. CONTE

    E-Print Network [OSTI]

    Kotchen, Matthew J.

    EXPLAINING THE PRICE OF VOLUNTARY CARBON OFFSETS MARC N. CONTE Stanford University, Stanford, CA of voluntary carbon offsets. We estimate hedonic price functions using a variety of provider- and project-profit or not-for-profit. Keywords: Voluntary carbon offsets; hedonic price method. 1. Introduction

  5. Contract/Project Management

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

    3 rd Quarter Overall Contract and Project Management Performance Metrics and Targets ContractProject Management Performance Metrics FY 2009 Target FY 2009 Actual Comment 1....

  6. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

  7. Wind Power Price Trends in the United States: Struggling to Remain Competitive in the Face of Strong Growth

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    cost (and price) of energy delivered from a wind project.wind turbines has increased due to higher commodity (materials and energy) prices, andwind power, cost trends, price trends 1.0 Introduction Driven by concerns over climate and energy

  8. Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts

    E-Print Network [OSTI]

    Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts Electricity prices in the Council's Power Plan are forecast using the AURORATM Electricity Market Model of the entire and 2006 actual electric prices have been more volatile than the Aurora forecast. This is expected because

  9. How People Actually Use Thermostats

    SciTech Connect (OSTI)

    Meier, Alan; Aragon, Cecilia; Hurwitz, Becky; Mujumdar, Dhawal; Peffer, Therese; Perry, Daniel; Pritoni, Marco

    2010-08-15T23:59:59.000Z

    Residential thermostats have been a key element in controlling heating and cooling systems for over sixty years. However, today's modern programmable thermostats (PTs) are complicated and difficult for users to understand, leading to errors in operation and wasted energy. Four separate tests of usability were conducted in preparation for a larger study. These tests included personal interviews, an on-line survey, photographing actual thermostat settings, and measurements of ability to accomplish four tasks related to effective use of a PT. The interviews revealed that many occupants used the PT as an on-off switch and most demonstrated little knowledge of how to operate it. The on-line survey found that 89% of the respondents rarely or never used the PT to set a weekday or weekend program. The photographic survey (in low income homes) found that only 30% of the PTs were actually programmed. In the usability test, we found that we could quantify the difference in usability of two PTs as measured in time to accomplish tasks. Users accomplished the tasks in consistently shorter times with the touchscreen unit than with buttons. None of these studies are representative of the entire population of users but, together, they illustrate the importance of improving user interfaces in PTs.

  10. Price changes in the gasoline market: Are Midwestern gasoline prices downward sticky?

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    This report examines a recurring question about gasoline markets: why, especially in times of high price volatility, do retail gasoline prices seem to rise quickly but fall back more slowly? Do gasoline prices actually rise faster than they fall, or does this just appear to be the case because people tend to pay more attention to prices when they`re rising? This question is more complex than it might appear to be initially, and it has been addressed by numerous analysts in government, academia and industry. The question is very important, because perceived problems with retail gasoline pricing have been used in arguments for government regulation of prices. The phenomenon of prices at different market levels tending to move differently relative to each other depending on direction is known as price asymmetry. This report summarizes the previous work on gasoline price asymmetry and provides a method for testing for asymmetry in a wide variety of situations. The major finding of this paper is that there is some amount of asymmetry and pattern asymmetry, especially at the retail level, in the Midwestern states that are the focus of the analysis. Nevertheless, both the amount asymmetry and pattern asymmetry are relatively small. In addition, much of the pattern asymmetry detected in this and previous studies could be a statistical artifact caused by the time lags between price changes at different points in the gasoline distribution system. In other words, retail gasoline prices do sometimes rise faster than they fall, but this is largely a lagged market response to an upward shock in the underlying wholesale gasoline or crude oil prices, followed by a return toward the previous baseline. After consistent time lags are factored out, most apparent asymmetry disappears.

  11. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    consumption would be reduced and incentives for production increased whenever the price of crude oil

  12. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

    Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

  13. Evidence of cost growth under cost-plus and fixed-price contracting

    SciTech Connect (OSTI)

    Scott, M.J.; Paananaen, O.H.; Redgate, T.E.; Ulibarri, C.A.; Jaksch, J.A.

    1998-09-01T23:59:59.000Z

    As defined by the US Department of Energy (DOE), privatization refers to a shifting of responsibilities for the completion of projects from a cost-plus Management and Operations (M and O) contract, to incentive-based contracts with the private sector. DOE`s new vision is to arrange cleanup work around incentives-based contracts, which are won via competitive bidding. Competition in awarding cleanup contracts can make use of market incentives to lower project costs and reduce slippage time. Fixed-price contracts encourage contractors to minimize schedule delays and cost overruns once the scope of a project has been negotiated. Conversely, cost-plus contracting offers weak incentives for contractors to select cost-minimizing production and management approaches. Because privatization explicitly allocates more risk to the contractor, it forces the government to better define its goals and methods. This study summarizes actual cost experiences with government contracts performed under cost-plus and fixed-price incentive structures at all levels of government. The first section provides some background on the problem of making contractor activity more cost-efficient. Following this are sections on the measurement of performance and the costs of projects, limitations on measurement, and findings of similar studies. The study concludes with appendices discussing the details of the performance measurement methodology and the project data sets used in the study.

  14. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark A.; Wiser, Ryan H.

    2010-01-04T23:59:59.000Z

    On December 14, 2009, the reference-case projections from Annual Energy Outlook 2010 were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in itigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings.

  15. Photovoltaic (PV) Pricing Trends: Historical, Recent, and Near-Term

    E-Print Network [OSTI]

    Photovoltaic (PV) Pricing Trends: Historical, Recent, and Near-Term Projections November 2012 #12;Photovoltaic (PV) Pricing Trends: Historical, Recent, and Near-Term Projections David Feldman1 , Galen Barbose2 , Robert Margolis1 , Ryan Wiser2 , NaĂŻm Darghouth2 , and Alan Goodrich1 1 National Renewable Energy

  16. World Oil Prices in AEO2006 (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    World oil prices in the Annual Energy Outlook 2006 (AEO) reference case are substantially higher than those in the AEO2005 reference case. In the AEO2006 reference case, world crude oil prices, in terms of the average price of imported low-sulfur, light crude oil to U.S. refiners, decline from current levels to about $47 per barrel (2004 dollars) in 2014, then rise to $54 per barrel in 2025 and $57 per barrel in 2030. The price in 2025 is approximately $21 per barrel higher than the corresponding price projection in the AEO2005 reference case.

  17. Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. “Gas Wars: Retail Gasoline Price Fluctua- tions”,were collected on retail gasoline prices, wholesale (rack)ancillary information. Retail gasoline prices, RET AIL mt ,

  18. COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    of political activity on pharmaceutical prices, focusing on the health care reform period. We characterize health care reform discussions in 1993, large-scale efforts to curb drug prices were debated and seemed everywhere from the Catastrophic Health Insurance Bill to proposals for Medicare coverage of drugs. During

  19. The Minimum Price Contract

    E-Print Network [OSTI]

    Waller, Mark L.; Amosson, Stephen H.; Welch, Mark; Dhuyvetter, Kevin C.

    2008-10-17T23:59:59.000Z

    A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

  20. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01T23:59:59.000Z

    Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest time frames prices change every five ...

  1. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

    Schroeder, Ted C.; Hogan, Robert J.; Anderson, David P.

    2009-03-02T23:59:59.000Z

    There are several value-based fed cattle pricing systems, including formula pricing, price grids and alliances. This publication describes the different cattle pricing methods and helps you decide which is best for you....

  2. Luxury condos : an analysis of sales price and hotel amenities in Manhattan

    E-Print Network [OSTI]

    Dolan, Amelia Jane

    2011-01-01T23:59:59.000Z

    The purpose of this research project is to examine the market pricing behavior of condos with hotel amenities in the Manhattan condo market. To do this, data was compiled from multiple sources to track variations in price ...

  3. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    RETAIL PRICES CONTENTS Page Tuna, Canned White Meat Tuna. (Albacore), Solid Pack, In Oil All BrandsCANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU PRICES APRIL 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market Development FISHERY

  4. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

    PRICES CONTENTS Page Tuna, Canned White Meat Tuna (Albacore), Solid Pack, In Oil All Brands ExceptCANNED FISH RETAIL PRICES JUNE ll959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDUFE, Commissioner CANNED FISH RETAIL PRICES JUNE 1959 Prepared in the Bureau of Commercial Fisheries Branch

  5. ENROLMENT REPORT 2006-07: ACTUAL AND PROJECTED ENROLMENT

    E-Print Network [OSTI]

    between 2000-01 and 2005-06. Funding was also provided to support limited graduate growth between 2000 at the University of Toronto in Fall 2006, an increase of 1,095 students over 2005-06. Full-time-equivalent (FTE. Enrolment reached 50,127 FTEs in 2005-06, compared to 41,620 in 2002-03 -- an increase of 8,507 FTEs, or 20

  6. Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary statisticsRecoverable

  7. Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary

  8. Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: Reported proved

  9. Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: Reported provedReal2.1Total

  10. Table 4. Total Petroleum Consumption, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:

  11. Table 5. Domestic Crude Oil Production, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shale gas

  12. Table 8. Total Natural Gas Consumption, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary:Principal shale gas::Total

  13. Table 10. Natural Gas Net Imports, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15 678Major

  14. Table 12. Total Coal Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b. Coal

  15. Table 15. Total Electricity Sales, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b.b. Total

  16. Table 16. Total Energy Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome to the1,033 15:b.b. Total Energy

  17. Table 4. Total Petroleum Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome toTotala. ImportedTotal

  18. Table 5. Domestic Crude Oil Production, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.WelcomeDomestic Crude Oil Production,

  19. Table 6. Petroleum Net Imports, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.WelcomeDomestic Crude: Total

  20. Table 8. Total Natural Gas Consumption, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.WelcomeDomesticb. Natural Gas

  1. Table 9. Natural Gas Production, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.WelcomeDomesticb.Major U.S. Coal

  2. Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

    2010-06-02T23:59:59.000Z

    We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

  3. Equilibrium pricing bounds on option prices Marie Chazala

    E-Print Network [OSTI]

    Boyer, Edmond

    probability measure that is equivalent to the historical one, and under which the discounted price processesEquilibrium pricing bounds on option prices Marie Chazala and Ely`es Jouinib a CREST, France price at maturity, we derive an upper bound on the call option price by putting two kind of restrictions

  4. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01T23:59:59.000Z

    the higher the product cost and retail price. Table 3.change and appliance price Room air conditioners Small (price data to clarify price

  5. Crude Oil Prices

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

    the acquisition date. See the Explanatory Notes section for additional detail. Sources: Energy Information Administration, Form FEA-F701-M-0, "Transfer Pricing Report," January...

  6. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

    Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

    1999-09-21T23:59:59.000Z

    that number by the index of the future month for which the price forecast is being determined. For example, if June Amarillo direct fed cattle prices averaged $64 per hun- dredweight (cwt.), the forecast for October would be $64 divided by 97.12, multiplied... by 99.04 = $65.27 per cwt. Adjusting for the vari- ability suggests that there is a 68 percent proba- bility that the October monthly average price would fall between $70.67 cwt. and $59.87 cwt. Seasonal Price Index for Amarillo Direct Fed Steers...

  7. ,"Colorado Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Prices",8,"Monthly","112014","1151989" ,"Release Date:","1302015"...

  8. Eco-labeling Strategies and Price-Premium: The Wine Industry Puzzle

    E-Print Network [OSTI]

    Delmas, Magali

    1 Eco-labeling Strategies and Price-Premium: The Wine Industry Puzzle Magali A. Delmas University with the actual label. In the context of the wine industry, we show that eco-certification leads to a price the organic label for agricultural products, the Energy Star label for energy appliances, and the Forest

  9. CCPExecutiveSummary Collusive Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary September 2011 Collusive Price Rigidity under Price-Matching Punishments W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Collusive Price Rigidity under Price and price rigidity are linked. This belief is formalised in the theory of the kinked demand curve

  10. The Multiple Peril Crop Insurance Actual Production History (APH) Insurance Plan

    E-Print Network [OSTI]

    Stokes, Kenneth; Barnaby, G. A. Art; Waller, Mark L.; Outlaw, Joe

    2008-10-07T23:59:59.000Z

    Economics, Professor and Extension Economist? Management, The Texas A&M System; and Extension Agricultural Economist, Kansas State University Agricultural Experiment Station and Cooperative Extension Service. The U.S. Dept. of Agriculture?s (USDA) Risk..., levels of coverage, price elections, applicable premium rates and subsidy amounts. The special provisions list program calendar dates and contain general and special statements that may further define, limit or modify coverage. MPCI?s Actual...

  11. Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets

    E-Print Network [OSTI]

    Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

    2005-01-01T23:59:59.000Z

    2 2. Annual Energy Outlook (Administration’s Annual Energy Outlook forecasted price (of Energy, Annual Energy Outlook 2004 with Projections to

  12. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support drivers, the course of fossil fuel energy prices, energy efficiency trends, and renewable energy

  13. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01T23:59:59.000Z

    The objective of the present spot pricing study carried out for SCE and PG&E is to develop the concepts which wculd lead to an experimental design for spot pricing in the two utilities. The report suggests a set of experiments ...

  14. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06T23:59:59.000Z

    On December 5, 2006, the reference case projections from 'Annual Energy Outlook 2007' (AEO 2007) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past six years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past six years at least, levelized cost comparisons of fixed-price renewable generation with variable-price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are 'biased' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2007. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past six AEO releases (AEO 2001-AEO 2006), we once again find that the AEO 2007 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. Specifically, the NYMEX-AEO 2007 premium is $0.73/MMBtu levelized over five years. In other words, on average, one would have had to pay $0.73/MMBtu more than the AEO 2007 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  15. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19T23:59:59.000Z

    On December 12, 2005, the reference case projections from ''Annual Energy Outlook 2006'' (AEO 2006) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk (see, for example, http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf). As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past five years, forward natural gas contracts (with prices that can be locked in--e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past five years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation, presuming that long-term price stability is valued. In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2006. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past five AEO releases (AEO 2001-AEO 2005), we once again find that the AEO 2006 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEX-AEO 2006 reference case comparison yields by far the largest premium--$2.3/MMBtu levelized over five years--that we have seen over the last six years. In other words, on average, one would have had to pay $2.3/MMBtu more than the AEO 2006 reference case natural gas price forecast in order to lock in natural gas prices over the coming five years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation (or other forms of generation whose costs are not tied to the price of natural gas). Fixed-price generation (like certain forms of renewable generation) obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of five years.

  16. Gasoline price data systems

    SciTech Connect (OSTI)

    Not Available

    1980-05-01T23:59:59.000Z

    Timely observation on prices of gasoline at the wholesale and retail level by geographical area can serve several purposes: (1) to facilitate the monitoring of compliance with controls on distributor margins; (2) to indicate changes in the competitive structure of the distribution system; (3) to measure the incidence of changes in crude oil and refiner costs on retail prices by grade of gasoline, by type of retail outlet, and by geographic area; (4) to identify anomalies in the retail pricing structure that may create incentives for misfueling; and (5) to provide detailed time series data for use in evaluating conservation response to price changes. In order to provide the needed data for these purposes, the following detail on gasoline prices and characteristics of the sampling procedure appear to be appropriate: (1) monthly sample observations on wholesale and retail prices by gasoline grade and type of wholesale or retail dealer, together with volume weights; (2) sample size sufficient to provide detail by state and large cities; (3) responses to be tabulated and reports provided within 30 days after date of observation; and (4) a quick response sampling procedure that can provide weekly data, at least at the national level, when needed in time of rapidly changing prices. Price detail by state is suggested due to its significance for administrative purposes and since gasoline consumption data are estimated by state from other sources. Price detail for large cities are suggested in view of their relevancy as problem areas for vehicle emissions, reflecting one of the analytical uses of the data. In this report, current reporting systems and data on gasoline prices are reviewed and evaluated in terms of the needs outlined above. Recommendations are made for ways to fill the gaps in existing data systems to meet these needs.

  17. Self-Supporting Budget Budget to Actual Comparison

    E-Print Network [OSTI]

    Hemmers, Oliver

    Self-Supporting Budget Budget to Actual Comparison System Administration University of Nevada Supporting Budgets ­ Budget to Actual Comparison Introduction

  18. Price forecasting for notebook computers.

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-01-01T23:59:59.000Z

    ??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a… (more)

  19. Final Report on Transmission Pricing in the Western Interconnection

    SciTech Connect (OSTI)

    Douglas C. Larson; Lawrence Nordell

    2003-06-25T23:59:59.000Z

    Under this project, the Committee on Regional Electric Power Cooperation (CREPC) of the Western Interstate Energy Board developed a ''western pricing and congestion management proposal'' in order to foster efficient wholesale power markets and efficient use and expansion of the transmission grid. Drafts of this paper provided useful information to states/provinces in the Western Interconnection as Western Regional Transmission Organization (RTO) transmission pricing proposals have continued to evolve. Throughout the project there has been a gradual, but incomplete agreement on pricing systems to be used by RTOs in the West.

  20. An analysis of cattle feedlot placement, feeding and marketing strategies under alternative price relationships

    E-Print Network [OSTI]

    Clary, Gregory Michael

    2012-06-07T23:59:59.000Z

    FEEDERS RELATIVE TO OPTIMUM STRATEGIES UNDER PROJECTED SLAUGHTER PRICES 51 Forecasted Slaughter Steer and Heifer Prices Decision Model for Cattle Feeders Under Pro- jected Fed Slaughter Steer and Heifer Prices 51 56 ix Page ST RATE GIES FOR USE..., strong demand for beef growing out of a serious escalation of the Vietnam conflict and an abundance of low-priced feedgrains were important factors in explaining continued feedlot expansion. The cattle feeding industry functioned under gen- erally...

  1. Natural Gas Prices Forecast Comparison--AEO vs. Natural Gas Markets

    SciTech Connect (OSTI)

    Wong-Parodi, Gabrielle; Lekov, Alex; Dale, Larry

    2005-02-09T23:59:59.000Z

    This paper evaluates the accuracy of two methods to forecast natural gas prices: using the Energy Information Administration's ''Annual Energy Outlook'' forecasted price (AEO) and the ''Henry Hub'' compared to U.S. Wellhead futures price. A statistical analysis is performed to determine the relative accuracy of the two measures in the recent past. A statistical analysis suggests that the Henry Hub futures price provides a more accurate average forecast of natural gas prices than the AEO. For example, the Henry Hub futures price underestimated the natural gas price by 35 cents per thousand cubic feet (11.5 percent) between 1996 and 2003 and the AEO underestimated by 71 cents per thousand cubic feet (23.4 percent). Upon closer inspection, a liner regression analysis reveals that two distinct time periods exist, the period between 1996 to 1999 and the period between 2000 to 2003. For the time period between 1996 to 1999, AEO showed a weak negative correlation (R-square = 0.19) between forecast price by actual U.S. Wellhead natural gas price versus the Henry Hub with a weak positive correlation (R-square = 0.20) between forecasted price and U.S. Wellhead natural gas price. During the time period between 2000 to 2003, AEO shows a moderate positive correlation (R-square = 0.37) between forecasted natural gas price and U.S. Wellhead natural gas price versus the Henry Hub that show a moderate positive correlation (R-square = 0.36) between forecast price and U.S. Wellhead natural gas price. These results suggest that agencies forecasting natural gas prices should consider incorporating the Henry Hub natural gas futures price into their forecasting models along with the AEO forecast. Our analysis is very preliminary and is based on a very small data set. Naturally the results of the analysis may change, as more data is made available.

  2. CCPExecutiveSummary Price low and

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary July 2010 Price low and then price high W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Price low and then price high or price high and then price low introductory price for a new product followed by a higher price. For example, if at least some consumers face

  3. Multi-Factor Energy Price Models Exotic Derivatives Pricing

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Multi-Factor Energy Price Models and Exotic Derivatives Pricing by Samuel Hikspoors A thesis of Statistics University of Toronto c Copyright by Samuel Hikspoors 2008 #12;Multi-Factor Energy Price Models and practitioners alike recently started to develop the tools of energy derivatives pricing

  4. Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use

    E-Print Network [OSTI]

    Bertini, Robert L.

    Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use A Review of Empirical Findings Hongwei Dong, Ph.D. Candidate John D. Hunt, Professor John Gliebe, Assistant Professor #12;Framework Oil-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

  5. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13T23:59:59.000Z

    On December 9, the reference case projections from ''Annual Energy Outlook 2005 (AEO 2005)'' were posted on the Energy Information Administration's (EIA) web site. As some of you may be aware, we at LBNL have in the past compared the EIA's reference case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables play in mitigating such risk. As such, we were curious to see how the latest AEO gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. As a refresher, our past work in this area has found that over the past four years, forward natural gas contracts (e.g., gas futures, swaps, and physical supply) have traded at a premium relative to contemporaneous long-term reference case gas price forecasts from the EIA. As such, we have concluded that, over the past four years at least, levelized cost comparisons of fixed-price renewable generation with variable price gas-fired generation that have been based on AEO natural gas price forecasts (rather than forward prices) have yielded results that are ''biased'' in favor of gas-fired generation (presuming that long-term price stability is valued). In this memo we simply update our past analysis to include the latest long-term gas price forecast from the EIA, as contained in AEO 2005. For the sake of brevity, we do not rehash information (on methodology, potential explanations for the premiums, etc.) contained in our earlier reports on this topic; readers interested in such information are encouraged to download that work from http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or, more recently (and briefly), http://eetd.lbl.gov/ea/ems/reports/54751.pdf. As was the case in the past four AEO releases (AEO 2001-AE0 2004), we once again find that the AEO 2005 reference case gas price forecast falls well below where NYMEX natural gas futures contracts were trading at the time the EIA finalized its gas price forecast. In fact, the NYMEXAEO 2005 reference case comparison yields by far the largest premium--$1.11/MMBtu levelized over six years--that we have seen over the last five years. In other words, on average, one would have to pay $1.11/MMBtu more than the AEO 2005 reference case natural gas price forecast in order to lock in natural gas prices over the coming six years and thereby replicate the price stability provided intrinsically by fixed-price renewable generation. Fixed-price renewables obviously need not bear this added cost, and moreover can provide price stability for terms well in excess of six years.

  6. The ethics of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad

    2010-07-15T23:59:59.000Z

    Dynamic pricing has garnered much interest among regulators and utilities, since it has the potential for lowering energy costs for society. But the deployment of dynamic pricing has been remarkably tepid. The underlying premise is that dynamic pricing is unfair. But the presumption of unfairness in dynamic pricing rests on an assumption of fairness in today's tariffs. (author)

  7. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    CANNED FI H RETAIL PRICE UNITED STATES DEPARTMENT OF THE I TERI R FISH AND WILDLIFE SERVICE BUREAU to obtain average retail prices for selected canned fish items. The retail prices as contained herein by the U. S . Department of Labor in order to provide information on price levels in different cities

  8. Bennett and "Proxy Actualism" Michael Nelson

    E-Print Network [OSTI]

    Zalta, Edward N.

    Bennett and "Proxy Actualism" Michael Nelson Department of Philosophy University of California and Information Stanford University Stanford, CA 94305 zalta@stanford.edu Abstract Karen Bennett has recently and addressing a worry that might have been the driving force behind Bennett's claim that Linsky and Zalta's view

  9. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark A; Bolinger, Mark; Wiser, Ryan

    2008-01-07T23:59:59.000Z

    On December 12, 2007, the reference-case projections from Annual Energy Outlook 2008 (AEO 2008) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof) or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers (though its appeal has diminished somewhat as prices have increased); and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

  10. Use the Acceptable Crop Price worksheet to determine breakeven prices for your crops. ACCEPTABLE PRICE WORKSHEET

    E-Print Network [OSTI]

    Netoff, Theoden

    Use the Acceptable Crop Price worksheet to determine breakeven prices for your crops. ACCEPTABLE PRICE WORKSHEET Prepared by: David Bau - Regional Extension Educator, Agricultural Business Management (August 2012) CROP INCOME EXAMPLE YOUR FARM EXAMPLE YOUR FARM (A) Crop Acres 400 400 176 46 (C) Price

  11. Renewable Energy & Energy Efficiency Projects Loan Guarantee...

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

    Glass Cone Drive Gearing Solutions LPO Projects Have Helped Reduce the Cost of Solar Energy 10 * PPA pricing data represents a levelized generation-weighted average of...

  12. PROJECT MANUAL FOR: Renne Library Campus

    E-Print Network [OSTI]

    Dyer, Bill

    PROJECT MANUAL FOR: Renne Library Campus Testing Center Renovation MONTANA STATE UNIVERSITY BOZEMAN Summary 01 2000 Price and Payment Procedures 01 3000 Administrative Requirements 01 4000 Quality

  13. select h.*, p.Price as Price, NestXML(p.PricingConditions,

    E-Print Network [OSTI]

    Kemper, Alfons

    select h.*, p.Price as Price, NestXML(p.PricingConditions, p.PNGImage) as AdditionalData from Hyper Passau, Germany New Supplier Market Place select p.ProductDescription, c.Supplier, c.AdditionalData, c.Price by p.ProductDescription, c.Price expires Friday, March 29, 2002 5:00:00 PM CET Register Products XML

  14. Fewer Prices than Zones Steven Stoft

    E-Print Network [OSTI]

    California at Berkeley. University of

    of the FERC or of its Office of Economic Policy. Nodal energy spot prices induce a least-cost dispatch are priced explicitly instead of implicitly through nodal energy price differences. Pricing transmission energy spot market. Even including the hub price, there are fewer CP+Hub prices than zonal prices

  15. MTBE, methanol prices rise

    SciTech Connect (OSTI)

    Morris, G.D.L.; Cornitius, T.

    1995-12-20T23:59:59.000Z

    After several months of drifting lower in line with declining autumn gasoline prices, tabs for methyl tert-butyl ether (MTBE) have turned around. There has been no big demand surge, but consumers and traders are beginning to build up inventories in advance of a series of midwinter shutdowns and turnarounds by producers. Spot prices, which dropped as low as 75 cts/gal, have rebounded to 90 cts/gal fob. Eager for a positive glimmer, methanol producers posted a 3-cts/gal increase in contract prices this month. It marks the first upward idea since February. In that time contract prices have dropped 75% from $1.55/gal to 39 cts/gal. A hard winter has hit early in much of the US sending natural gas prices up sharply. At the same time, formaldehyde and acetic acid markets remain firm, and with MTBE rebounding, methanol producers feel entitled to a piece of the action. {open_quotes}I don`t buy into this claim that MTBE demand is up and I don`t think producers can justify even a 3-cts/gal increase,{close_quotes} says one. {open_quotes}There is nothing in the economy to warrant a run-up. Housing starts are weaker, and demand is down at least 80,000 bbl/day with the MTBE shutdown.{close_quotes}

  16. Fact #766: February 11, 2013 Electricity Prices are More Stable...

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

    6: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices Fact 766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices All energy prices...

  17. Oil Prices and Terms of Trade.

    E-Print Network [OSTI]

    Mirfacihi, Azar

    2006-01-01T23:59:59.000Z

    ?? One of the central issues in international macroeconomics is relative price movements and their sources. One such price is the price of crude oil.… (more)

  18. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-01-28T23:59:59.000Z

    On December 17, 2008, the reference-case projections from Annual Energy Outlook 2009 (AEO 2009) were posted on the Energy Information Administration's (EIA) web site. We at LBNL have, in the past, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better understanding fuel price risk and the role that renewables can play in mitigating such risk. As such, we were curious to see how the latest AEO reference-case gas price forecast compares to the NYMEX natural gas futures strip. This brief memo presents our findings. Note that this memo pertains only to natural gas fuel price risk (i.e., the risk that natural gas prices might differ over the life of a gas-fired generation asset from what was expected when the decision to build the gas-fired unit was made). We do not take into consideration any of the other distinct attributes of gas-fired and renewable generation, such as dispatchability (or lack thereof), differences in capital costs and O&M expenses, or environmental externalities. A comprehensive comparison of different resource types--which is well beyond the scope of this memo--would need to account for differences in all such attributes, including fuel price risk. Furthermore, our analysis focuses solely on natural-gas-fired generation (as opposed to coal-fired or nuclear generation, for example), for several reasons: (1) price volatility has been more of a concern for natural gas than for other fuels used to generate power; (2) for environmental and other reasons, natural gas has, in recent years, been the fuel of choice among power plant developers; and (3) natural gas-fired generators often set the market clearing price in competitive wholesale power markets throughout the United States. That said, a more-complete analysis of how renewables mitigate fuel price risk would also need to consider coal, uranium, and other fuel prices. Finally, we caution readers about drawing inferences or conclusions based solely on this memo in isolation: to place the information contained herein within its proper context, we strongly encourage readers interested in this issue to read through our previous, more-detailed studies, available at http://eetd.lbl.gov/ea/EMS/reports/53587.pdf or http://eetd.lbl.gov/ea/ems/reports/54751.pdf.

  19. al uso actual: Topics by E-print Network

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

    Shale Gas Production: Potential versus Actual GHG Emissions Francis O 27 Do Concept Inventories Actually Measure Anything? Colin S. Wallace Multidisciplinary Databases and...

  20. Self-Supporting Budget Budget to Actual Comparison

    E-Print Network [OSTI]

    Hemmers, Oliver

    Self-Supporting Budget Budget to Actual Comparison System Administration University of Nevada-12 Self Supporting Budgets ­ Budget to Actual Comparison Introduction

  1. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15T23:59:59.000Z

    In ''The Ethics of Dynamic Pricing,'' Ahmad Faruqui lays out a case for improved efficiency in using dynamic prices for retail electricity tariffs and addresses various issues about the distributional effects of alternative pricing mechanisms. The principal contrast is between flat or nearly constant energy prices and time-varying prices that reflect more closely the marginal costs of energy and capacity. The related issues of fairness criteria, contracts, risk allocation, cost allocation, means testing, real-time pricing, and ethical policies of electricity market design also must be considered. (author)

  2. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

    Childs, V. C. (Virgil C.); Schlotzhauer, Elbert O.; McNeely, John G.

    1948-01-01T23:59:59.000Z

    the base price of 12.4 cents or 31.12 cents a pound. The parity price for wheat was 2.51 times 88.4 cents or $2.22 per bushel. The parity price of potatoes, however, which is calculated from the base August 1919-July 1929, was 1.66 times $1.12 a bushel....90 1.88 1.86 1.78 1.40 1.08 1.12 1920 0 24 1 36 1 44 1.51 1.62 1.70 1.62 1.42 1.15 .94 .86 1921 80 :86 :88 85 84 82 77 64 51 49 52 1922 .51 .58 .66 .68 .72 .72 .72 .74 .71 .72 .79 1923 .92 .95 1.00 1.04 1.04 1.06 1.03 .98 .98 1.01 1.00 1924 1...

  3. GHPsRUS Project

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

    Battocletti, Liz

    The GHPsRUS Project's full name is "Measuring the Costs and Benefits of Nationwide Geothermal Heat Pump Deployment." The dataset contains employment and installation price data collected by four economic surveys: (1)GHPsRUS Project Manufacturer & OEM Survey, (2) GHPsRUS Project Geothermal Loop Survey, (3) GHPsRUS Project Mechanical Equipment Installation Survey, and (4) GHPsRUS Geothermal Heat Pump Industry Survey

  4. GHPsRUS Project

    SciTech Connect (OSTI)

    Battocletti, Liz

    2013-07-09T23:59:59.000Z

    The GHPsRUS Project's full name is "Measuring the Costs and Benefits of Nationwide Geothermal Heat Pump Deployment." The dataset contains employment and installation price data collected by four economic surveys: (1)GHPsRUS Project Manufacturer & OEM Survey, (2) GHPsRUS Project Geothermal Loop Survey, (3) GHPsRUS Project Mechanical Equipment Installation Survey, and (4) GHPsRUS Geothermal Heat Pump Industry Survey

  5. Smart grid-demand side response model to mitigate prices and peak impact on the electrical system.

    E-Print Network [OSTI]

    Marwan, Marwan

    2013-01-01T23:59:59.000Z

    ??The aims of this project is to develop demand side response model which assists electricity consumers who are exposed to the market price through aggregator… (more)

  6. Residential propane prices increase

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropane prices

  7. Diesel prices decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDiesel prices

  8. Diesel prices decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel pricesDiesel prices decrease

  9. Diesel prices decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel pricesDiesel prices

  10. Diesel prices flat

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDiesel prices

  11. Convergence Speed of GARCH Option Price to Diffusion Option Price

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    Convergence Speed of GARCH Option Price to Diffusion Option Price Jin-Chuan Duan, Yazhen Wang that as the time interval between two consecutive observations shrinks to zero, a properly constructed GARCH model will weakly converge to a bivariate diffusion. Naturally the European option price under the GARCH model

  12. Convergence Speed of GARCH Option Price to Diffusion Option Price

    E-Print Network [OSTI]

    Wang, Yazhen

    Convergence Speed of GARCH Option Price to Diffusion Option Price Jin-Chuan Duan National constructed GARCH model will weakly converge to a bi- variate diffusion. Naturally the European option price under the GARCH model will also converge to its bivariate diffusion counterpart. This paper investigates

  13. Best Buys and Unit Pricing

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02T23:59:59.000Z

    This guide explains how to determine a unit price--the cost of an item based on a specific unit such as pound or ounce. Unit pricing can be used to identify foods that are the most economical....

  14. Rethinking Real Time Electricity Pricing

    E-Print Network [OSTI]

    Allcott, Hunt

    Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the .rst program to expose residential consumers to hourly ...

  15. Price forecasting for notebook computers

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-06-07T23:59:59.000Z

    This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

  16. Pricing statistics sourcebook. 5. edition

    SciTech Connect (OSTI)

    NONE

    1999-11-01T23:59:59.000Z

    Thousands of historical and current prices for crude oil, NGL, petroleum products, natural gas and electric power are presented in easy to read tables. The book includes spot, posted and future prices; prices by state and by country; and monthly and annual prices. Most monthly price series go back 25 years. This comprehensive source for energy industry prices is a must for anyone involved in planning and budgeting. The Pricing Statistics Sourcebook has all of the essential key energy price statistics needed for analysis of the US and international oil and gas industries. Also include: an appendix of IEA, OECD and OPEC member lists, conversion factors heat content of fuels; and major events affecting the oil and gas industry since 1859. The book includes a summary analysis of significant changes in key data series written by Bob Beck, Economics Editor of the Oil and Gas Journal.

  17. Pricing with uncertain customer valuations

    E-Print Network [OSTI]

    2007-10-16T23:59:59.000Z

    Building Room 329, 200 W Packer Ave, Bethlehem, PA 18015, ... of uncertainty motivates the introduction of non-linearities in the demand as a function of price ... of price-response functions, parametrized by a risk sensitivity coefficient, which

  18. National Laboratory Dorene Price

    E-Print Network [OSTI]

    : price@bnl.gov ELECTROCHEMICAL ENHANCEMENT OF BIO-ETHANOL AND METABOLITE PRODUCTION Brookhaven National as a manufacturing step in their process to produce bio-ethanol or other commercially used metabolites can implement ApplicationFiled 61/042,867 TECHNOLOGY This method accelerates the production of ethanol and other metabolites

  19. National Laboratory Dorene Price

    E-Print Network [OSTI]

    applications from a broader perspective as well as in a narrower perspective, the hydrogen fuel cell industry alanates doped with such metal catalysts. Hydrogen is one part of a balanced, strategic portfolio of energy: price@bnl.gov ACTIVATED ALUMINUM HYDRIDE HYDROGEN STORAGE COMPOSITIONS AND USES THEREOF Brookhaven

  20. Analyzing reliability of virtual machine instances with dynamic pricing in the public cloud

    SciTech Connect (OSTI)

    Lim, Seung-Hwan [ORNL; Thakur, Gautam [ORNL; Horey, James L [ORNL

    2014-01-01T23:59:59.000Z

    This study presents reliability analysis of virtual machine instances in public cloud environments in the face of dynamic pricing. Different from traditional fixed pricing, dynamic pricing allows price to dynamically fluctuate over arbitrary period of time according to external factors such as supply and demand, excess capacity, etc. This pricing option introduces a new type of fault: virtual machine instances may be unexpectedly terminated due to conflicts in the original bid price and the current offered price. This new class of fault under dynamic pricing may be more dominant than traditional faults in cloud computing environments, where resource availability associated with traditional faults is often above 99.9%. To address and understand this new type of fault, we translated two classic reliability metrics, mean time between failures and availability, to the Amazon Web Services spot market using historical price data. We also validated our findings by submitting actual bids in the spot market. We found that overall, our historical analysis and experimental validation lined up well. Based upon these experimental results, we also provided suggestions and techniques to maximize overall reliability of virtual machine instances under dynamic pricing.

  1. China, India demand cushions prices

    SciTech Connect (OSTI)

    Boyle, M.

    2006-11-15T23:59:59.000Z

    Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

  2. CCPPolicyBriefing Resale Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPPolicyBriefing Sept 2010 Resale Price Maintenance W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Resale Price Maintenance and Restrictions on Dominant Firm and Industry-Wide Adoption BACKGROUND In June 2007, the nearly 100-year-old ban on retail price maintenance was overturned

  3. Risk Price Dynamics Jaroslav Borovicka

    E-Print Network [OSTI]

    Hansen, Lars Peter

    Risk Price Dynamics Jaroslav Borovicka University of Chicago Lars Peter Hansen University November 11, 2009 Abstract We present a novel approach to depicting asset pricing dynamics by characterizing shock exposures and prices for alternative investment horizons. We quantify the shock exposures

  4. Modeling intraurban price competition: an example of gasoline pricing

    SciTech Connect (OSTI)

    Haining, R.

    1983-11-01T23:59:59.000Z

    Three interacting market models are considered as models for intraurban retail price variation for a single homogenous good, price-posted gasoline. Modifications include spatial markets instead of interacting economic sectors and supply functions independent of price levels in other markets. The final section discusses the results of fitting one of the models to gasoline data for the city of Sheffield during a period of intensifying price competition in the first quarter of 1982. It is concluded, with respect to gasoline price modeling, both independent and interacting market models exist but at different intraurban scales. 15 references, 1 figure, 1 table.

  5. Natural Gas and Crude Oil Prices in AEO (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    If oil and natural gas were perfect substitutes in all markets where they are used, market forces would be expected to drive their delivered prices to near equality on an energy-equivalent basis. The price of West Texas Intermediate (WTI) crude oil generally is denominated in terms of barrels, where 1 barrel has an energy content of approximately 5.8 million Btu. The price of natural gas (at the Henry Hub), in contrast, generally is denominated in million Btu. Thus, if the market prices of the two fuels were equal on the basis of their energy contents, the ratio of the crude oil price (the spot price for WTI, or low-sulfur light, crude oil) to the natural gas price (the Henry Hub spot price) would be approximately 6.0. From 1990 through 2007, however, the ratio of natural gas prices to crude oil prices averaged 8.6; and in the Annual Energy Outlook 2009 projections from 2008 through 2030, it averages 7.7 in the low oil price case, 14.6 in the reference case, and 20.2 in the high oil price case.

  6. Actual energy implementations and basic investigations

    SciTech Connect (OSTI)

    Nockemann, C.; Wuestenberg, H. [BAM, Berlin (Germany). Federal Inst. of Materials Research and Testing

    1995-12-31T23:59:59.000Z

    The actual implementations in guaranteeing the reliability of NDE systems applied in service inspections in nuclear power plants will be presented. The difference between the American PDI (Performance Demonstration Initiative) which is based on blind trials and the European ENIQ (European Network for Inspection Qualification) approach which is based on a mixed procedure of physical modeling, experience data and test experiments will be discussed. The ROC (Receiver Operating Characteristic) has been adapted from the signal detection theory to NDE problems at BAM to be used for basic investigations and for the validation of new exceptional NDE systems where modeling and reference to standards is not yet possible. Examples of application will be shown and critical discussed especially concerning the influence of the grading unit raster.

  7. Delivery and Hedging Delivery ties the futures price to the spot price.

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Delivery and Hedging · Delivery ties the futures price to the spot price. · On the delivery date, the settlement price of the futures contract is determined by the spot price. · Hence, when the delivery period is reached, the futures price should be very close to the spot price. · Changes in futures prices usually

  8. Dynamic LMP Response Under Alternative Price-Cap and Price-Sensitive Demand Scenarios

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    test bed, locational marginal prices, demand-bid price sensitivity, supply-offer price caps, learning that are separately settled each day by means of Locational Marginal Pricing (LMP). Under LMP, a separate price the complicated nonlinear effects of demand-bid price sensitivity and supply-offer price caps on Locational

  9. Visualizations for Real-time Pricing Demonstration

    SciTech Connect (OSTI)

    Marinovici, Maria C.; Hammerstrom, Janelle L.; Widergren, Steven E.; Dayley, Greg K.

    2014-10-13T23:59:59.000Z

    In this paper, the visualization tools created for monitoring the operations of a real-time pricing demonstration system that runs at a distribution feeder level are presented. The information these tools provide gives insights into demand behavior from automated price responsive devices, distribution feeder characteristics, impact of weather on system’s development, and other significant dynamics. Given the large number of devices that bid into a feeder-level real-time electricity market, new techniques are explored to summarize the present state of the system and contrast that with previous trends as well as future projections. To better understand the system behavior and correctly inform decision-making procedures, effective visualization of the data is imperative.

  10. Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

    2002-05-15T23:59:59.000Z

    Advocates of energy efficiency and renewable energy have long argued that such technologies can mitigate fuel price risk within a resource portfolio. Such arguments--made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001--have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that these sources provide. In evaluating this benefit, it is important to recognize that alternative price hedging instruments are available--in particular, gas-based financial derivatives (futures and swaps) and physical, fixed-price gas contracts. Whether energy efficiency and renewable energy can provide price stability at lower cost than these alternative means is therefore a key question for resource acquisition planners. In this paper we evaluate the cost of hedging gas price risk through financial hedging instruments. To do this, we compare the price of a 10-year natural gas swap (i.e., what it costs to lock in prices over the next 10 years) to a 10-year natural gas price forecast (i.e., what the market is expecting spot natural gas prices to be over the next 10 years). We find that over the past two years natural gas users have had to pay a premium as high as $0.76/mmBtu (0.53/242/kWh at an aggressive 7,000 Btu/kWh heat rate) over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost to hedge gas price risk exposure is potentially large enough - particularly if incorporated by policymakers and regulators into decision-making practices - to tip the scales away from new investments in variable-price, natural gas-fired generation and in favor of fixed-price investments in energy efficiency and renewable energy.

  11. Carbon pricing, nuclear power and electricity markets

    SciTech Connect (OSTI)

    Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

    2012-07-01T23:59:59.000Z

    In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised electricity market, looking at the impact of the seven key variables and provide conclusions on the portfolio that a utility would be advised to maintain, given the need to limit risks but also to move to low carbon power generation. Such portfolio diversification would not only limit financial investor risk, but also a number of non-financial risks (climate change, security of supply, accidents). (authors)

  12. The Effects of Price Discrimination on Buyerâs Internal Reference Price and Post-purchase Emotions.

    E-Print Network [OSTI]

    Huang, Siang-hua

    2007-01-01T23:59:59.000Z

    ??This article examines whether price discrimination affects consumer price perceptions and emotions. Questionnaires involving various purchasing scenarios indicate that all kinds of price discrimination decrease… (more)

  13. Price Discovery in Time and Space: The Course of Condominium Prices in Singapore

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2007-01-01T23:59:59.000Z

    Method for Real Estate Price Index Construction,” Journal ofAutocorrelation in House Prices,” Journal of Real Estate1997), “Quotes, Order Flow, and Price Discovery,” Journal of

  14. Joint pricing and inventory control under reference price effects.

    E-Print Network [OSTI]

    Gimpl-Heersink, Lisa

    2008-01-01T23:59:59.000Z

    ??In many firms the pricing and inventory control functions are separated. However, a number of theoretical models suggest a joint determination of inventory levels and… (more)

  15. Impact of price specials on estimates of retail meat prices

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

    ighting Technique V. V. SUM'JARA' AND CONCLUSIONS. 46 55 o3 69 Ti. me-of-the-Week to Collect Prices. Bias Reduced by Regression. Concluding Statement. REFEBENCES. APPENDIX. 89 90 95 100 115 vill LIST OF TABLES Table Page 1-1. Relative...' or individual items in Dallas and Houston. 101 3-1. Simulated BLS price estimates of 46 meat items based upon different sampling rates and weighted average price, or all data, July 1968. . . . . . . . . . . . 107 "Error" of price estimates; differences...

  16. Food for fuel: The price of ethanol

    E-Print Network [OSTI]

    Albino, Dominic K; Bar-Yam, Yaneer

    2012-01-01T23:59:59.000Z

    Conversion of corn to ethanol in the US since 2005 has been a major cause of global food price increases during that time and has been shown to be ineffective in achieving US energy independence and reducing environmental impact. We make three key statements to enhance understanding and communication about ethanol production's impact on the food and fuel markets: (1) The amount of corn used to produce the ethanol in a gallon of regular gas would feed a person for a day, (2) The production of ethanol is so energy intensive that it uses only 20% less fossil fuel than gasoline, and (3) The cost of gas made with ethanol is actually higher per mile because ethanol reduces gasoline's energy per gallon.

  17. Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2

    E-Print Network [OSTI]

    Boyer, Edmond

    The recent deregulation of energy markets has led to the development in several countries of market places for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [12] for an introduction). Thus, modelling jointly the evolution of gas

  18. Essays on Automotive Lending, Gasoline Prices, & Automotive Demand

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

    Gasoline PriceResponse to Chang- ing Gasoline Prices,” unpublishedShort-Run Price Elasticity of Gasoline Demand. ,” The Energy

  19. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Sold On Sale and Retail Gasoline Prices Log % Purchased Onhigher gasoline prices into retail prices, by investigatingexcluding California average retail gasoline price for all

  20. ,"New Mexico Natural Gas Prices"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Prices",8,"Monthly","12015","1151989" ,"Release Date:","331...

  1. ,"New York Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Prices",8,"Monthly","102014","1151989" ,"Release Date:","12312014"...

  2. Residential heating oil price

    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 ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating oil price

  3. Residential propane price

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5,propane price

  4. Residential propane price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price decreases The

  5. Residential propane price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price decreases

  6. Residential propane price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price

  7. Residential propane price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane pricepropane price

  8. Residential propane prices available

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6,propane prices

  9. Residential propane prices decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6,propane prices5,

  10. Residential propane prices increase

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase The average

  11. Residential propane prices increase

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase The

  12. Residential propane prices increase

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase Thepropane

  13. Residential propane prices increase

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase

  14. Residential propane prices increase

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropane

  15. Residential propane prices stable

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropanepropane

  16. Residential propane prices stable

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane prices

  17. Residential propane prices surges

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices surges

  18. Residential propane prices surges

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices surges5,

  19. Residential propane prices surges

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices

  20. Residential propane prices surges

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices9, 2014

  1. Residential propane prices surges

    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 ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices9,

  2. Average Commercial Price

    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 CostsLiquidsYearReserves (Billion5: Oil andCitygate Price

  3. Average Residential Price

    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 CostsLiquidsYearReserves (Billion5: OilCitygate Price

  4. Average Residential Price

    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 CostsLiquidsYearReserves (Billion5: OilCitygate Price

  5. Diesel prices decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDiesel

  6. Diesel prices decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDieselDiesel

  7. Diesel prices decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices

  8. Diesel prices decrease slightly

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel prices

  9. Diesel prices flat nationally

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDiesel

  10. Diesel prices increase

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDieselDiesel

  11. Diesel prices increase nationally

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDiesel prices

  12. Diesel prices slightly decrease

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDieselDiesel prices

  13. Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships

    E-Print Network [OSTI]

    Rothman, Daniel

    Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships Prices Affect Automobile Manufacturers and Dealerships Abstract Many consumers are keenly aware, by contrast, we investigate how gasoline prices affect the automobile industry: manufacturers and dealerships

  14. Postgraduate Scholarship Pricing temperature derivatives and modelling

    E-Print Network [OSTI]

    Banaji,. Murad

    the volumetric risk of the energy units sold, rather than the price risk of each unit. Weather derivativesPostgraduate Scholarship Pricing temperature derivatives and modelling the market price of risk: Pricing temperature derivatives and modelling the market price of risk. Main Supervisor: A. Alexandridis

  15. Price's Theorem: A General Equation for Response

    E-Print Network [OSTI]

    Walsh, Bruce

    12 Price's Theorem: A General Equation for Response It is always difficult, in retrospect, to see situation. Ac- tually, there is, namely Price's Theorem (Price 1970, 1972a), also referred to as the Price Equation. Price's theorem provides a notationally elegant way to describe any selection re- sponse. We

  16. analysis project evaluating: Topics by E-print Network

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

    uncertainties in typical oil and gas projects: 1. The oil price, 2. The investments (capex) and operating. The oil and gas reserves and production profiles, 5. The production...

  17. Participatory Pricing in Sport: An Examination of Name-Your-Own-Price and Pay-What-You-Want Pricing

    E-Print Network [OSTI]

    Reese, Jason 1985-

    2012-12-06T23:59:59.000Z

    The purpose of this study is to better understand the effects participatory pricing strategies have on consumer perceptions and behaviors in a sport event pricing scenario. Participatory pricing strategies are those that include the consumer...

  18. Economic Effects of High Oil Prices (released in AEO2006)

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

    The Annual Energy Outlook 2006 projections of future energy market conditions reflect the effects of oil prices on the macroeconomic variables that affect oil demand, in particular, and energy demand in general. The variables include real gross domestic product (GDP) growth, inflation, employment, exports and imports, and interest rates.

  19. Edgeworth Price Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline Markets

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Robbery, An Analysis of the Gasoline Crisis”, Bloomington:Dynamic Pricing in Retail gasoline Markets”, RAND Journal ofR. Gilbert. “Do Gasoline Markets Respond Asymmetrically to

  20. 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.

  1. Appendix A: Fuel Price Forecast Introduction..................................................................................................................................... 1

    E-Print Network [OSTI]

    Appendix A: Fuel Price Forecast Introduction ................................................................................................................... 17 INTRODUCTION Since the millennium, the trend for fuel prices has been one of uncertainty prices, which have traditionally been relatively stable, increased by about 50 percent in 2008. Fuel

  2. Efficient Metering Schemes with Pricing

    E-Print Network [OSTI]

    Stinson, Douglas

    Efficient Metering Schemes with Pricing Barbara Masucci Dipartimento di Informatica ed Applicazioni and Pinkas [7] introduced metering schemes. They proposed metering schemes in which any server is able and proposed metering schemes with pricing. In their schemes any server is able to construct a proof which

  3. 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.

  4. 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.

  5. 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.

  6. Natural Gas Procurement Challenges for a Project Financed Cogeneration Facility

    E-Print Network [OSTI]

    Good, R. L.; Calvert, T. B.; Pavlish, B. A.

    these criteria as inconsistent with UCC project economics and normal procurement practice. A. TERM OF CONTRACT The trend in the industry was strongly moving away from long term fixed price contracts. Natural Gas prices had moved steadily upward through..., by 1986? the problem of long term take or pay contracts in the Industry was overwhelming. Most producers had written some contracts at very low prices that had not expired while consumers were replacing contract written at high prices. However...

  7. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen

  8. Oil Prices and Long-Run Risk.

    E-Print Network [OSTI]

    READY, ROBERT

    2011-01-01T23:59:59.000Z

    ??I show that relative levels of aggregate consumption and personal oil consumption provide anexcellent proxy for oil prices, and that high oil prices predict low… (more)

  9. Issues in Parallel Branch and Price

    E-Print Network [OSTI]

    Branch and price is the technique of combining column generation methods with branch ... price has been shown to be very e ective at solving large, specially ...

  10. PRICE LEVELS AND DISPERSION WITH ASYMMETRIC INFORMATION.

    E-Print Network [OSTI]

    Bhattacharya, Tanmoy

    2011-01-01T23:59:59.000Z

    ??In the extensive literature on price dispersions that exists to date, there is a gap in the analysis of how market structure affects prices as… (more)

  11. Electricity price forecasting in a grid environment.

    E-Print Network [OSTI]

    Li, Guang, 1974-

    2007-01-01T23:59:59.000Z

    ??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

  12. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

    of households know their marginal price of electricity, andhouseholds experience substantially different nonlinear electricity pricehouseholds experience substantially different nonlinear electricity price

  13. actual intec calcines: Topics by E-print Network

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

    material microstructures were studied for materials prepared from three (more) Bennett, Barbara, 1971- 2000-01-01 2 Introduction Actual Industrial Problems Mathematics...

  14. actuales clasificaciones del: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 117 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  15. anciano consideraciones actuales: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 64 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  16. actual del franciscanismo: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 110 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  17. actual del huemul: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 110 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  18. actual del ultrasonido: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 110 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  19. actual del tabaquismo: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 110 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  20. actuales sobre criterios: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 90 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  1. actuales para determinar: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 98 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  2. actual del control: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 147 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  3. actuales del metabolismo: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 116 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  4. atpae desarrollo actual: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 114 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  5. actual del estreptococo: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 110 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  6. actual del rabdomiosarcoma: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 110 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  7. aporte actual del: Topics by E-print Network

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

    or generate figures Goldberg, Robert B. 119 This study explores how the EU Emissions Trading System (EU ETS) actually works on the ground affecting corporate climate...

  8. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

    of Oammittee) Ra A. ietrzch C. J ~) Daru. I (Heai of August l987 Price Detezlainatian for Breeding Bulls. (August 1987) Jerry Carl Namkan, B. S. , Texas A&M University; Chair of Advisory Committee: Dr. Donald E. Ferris A study using two different data... sets was conducted to determine the factors affecting the price of zmg~ Hereford hulls. In the first data set, both ~ and lagged national ~ feeder steer, utility cow, and crude oil prices, and net farm income were analyzed in a regzmsion procedure...

  9. Edgeworth Cycles and Focal Prices: Computational Dynamic Markov Equilibria

    E-Print Network [OSTI]

    Noel, Michael D.

    2004-01-01T23:59:59.000Z

    1993). “Gas Wars: Retail Gasoline Price Fluctuations”,Price Cycles: Firm Interaction in the Toronto Retail GasolinePrice Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline

  10. The Food Crises: A quantitative model of food prices including speculators and ethanol conversion

    E-Print Network [OSTI]

    Lagi, Marco; Bertrand, Karla Z; Bar-Yam, Yaneer

    2011-01-01T23:59:59.000Z

    Recent increases in basic food prices are severely impacting vulnerable populations worldwide. Proposed causes such as shortages of grain due to adverse weather, increasing meat consumption in China and India, conversion of corn to ethanol in the US, and investor speculation on commodity markets lead to widely differing implications for policy. A lack of clarity about which factors are responsible reinforces policy inaction. Here, for the first time, we construct a dynamic model that quantitatively agrees with food prices. The results show that the dominant causes of price increases are investor speculation and ethanol conversion. Models that just treat supply and demand are not consistent with the actual price dynamics. The two sharp peaks in 2007/2008 and 2010/2011 are specifically due to investor speculation, while an underlying upward trend is due to increasing demand from ethanol conversion. The model includes investor trend following as well as shifting between commodities, equities and bonds to take ad...

  11. Sensitivity Analysis of Factors Effecting the Financial Viability of Cogeneration Projects

    E-Print Network [OSTI]

    Clunie, J. F.

    1984-01-01T23:59:59.000Z

    demand and an energy charge? Is the price based on PURPA? What is the projected rate of increase in the price of electricity? Does the term of the electric contract extend throughout the period of repayment of the financing? o Projected operating... costs reasonable? Is there a fixed price contract for the construction of the project? What party is responsible for paying construction over-runs? o Permits Have all required permits and licenses necessary to construct and operate the Project...

  12. Model documentation: Electricity market module, electricity finance and pricing submodule

    SciTech Connect (OSTI)

    Not Available

    1994-04-07T23:59:59.000Z

    The purpose of this report is to define the objectives of the model, describe its basic approach, and provide detail on how it works. The EFP is a regulatory accounting model that projects electricity prices. The model first solves for revenue requirements by building up a rate base, calculating a return on rate base, and adding the allowed expenses. Average revenues (prices) are calculated based on assumptions regarding regulator lag and customer cost allocation methods. The model then solves for the internal cash flow and analyzes the need for external financing to meet necessary capital expenditures. Finally, the EFP builds up the financial statements. The EFP is used in conjunction with the National Energy Modeling System (NEMS). Inputs to the EFP include the forecast generating capacity expansion plans, operating costs, regulator environment, and financial data. The outputs include forecasts of income statements, balance sheets, revenue requirements, and electricity prices.

  13. Introduction Risk associated with an adverse price

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Introduction Risk associated with an adverse price change (price risk) is a normal part commodities are sold suggests price risk is an unavoidable part of being involved in the industry. Producers that have significant price variability. Recent domestic farm policy changes and trade barrier reductions

  14. Reservation Price Estimation by Adaptive Conjoint Analysis

    E-Print Network [OSTI]

    Schmidt-Thieme, Lars

    Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

  15. Explaining the Price of Voluntary Carbon Offsets

    E-Print Network [OSTI]

    Conte, Marc N.; Kotchen, Matthew

    2009-01-01T23:59:59.000Z

    Energy and Sustainable Development, Stanford Univer- sity. Figure 1: Histogram of carbon offset prices (

  16. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

    Problems in the establishment of natural gas prices are outlined. The tropics discussed include: US average natural gas prices; US average natural gas prices; US average fuel oil prices; and US average electric utility natural gas T and D margin in dollars Mcf.

  17. THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION

    E-Print Network [OSTI]

    Rothman, Daniel

    This draft: April 9, 2013 Abstract The price of crude oil in the U.S. never exceeded $40 per barrel until mid price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We explain the meaning of "oil price speculation," how it can

  18. Shale Gas Production: Potential versus Actual GHG Emissions

    E-Print Network [OSTI]

    Shale Gas Production: Potential versus Actual GHG Emissions Francis O'Sullivan and Sergey Paltsev, and environmental effects. In turn, the greenhouse gas and atmospheric aerosol assumptions underlying climate://globalchange.mit.edu/ Printed on recycled paper #12;1 Shale Gas Production: Potential versus Actual GHG Emissions Francis O

  19. The power of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad; Hledik, Ryan; Tsoukalis, John

    2009-04-15T23:59:59.000Z

    Using data from a generic California utility, it can be shown that it is feasible to develop dynamic pricing rates for all customer classes. These rates have the potential to reduce system peak demands from 1 to 9 percent. (author)

  20. Volatility and commodity price dynamics

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01T23:59:59.000Z

    Commodity prices tend to be volatile, and volatility itself varies over time. changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total ...

  1. Figure 4. World Oil Prices

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

    4. World Oil Prices" " (2007 dollars per barrel)" ,2007,2008,2009,2010,2011,2012,2013,2014,2015,2016,2017,2018,2019,2020,2021,2022,2023,2024,2025,2026,2027,2028,2029,2030...

  2. Investors' horizon and stock prices

    E-Print Network [OSTI]

    Parsa, Sahar

    2011-01-01T23:59:59.000Z

    This dissertation consists of three essays on the relation between investors' trading horizon and stock prices. The first chapter explores the theoretical relation between the horizon of traders and the negative externality ...

  3. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01T23:59:59.000Z

    A significant increase in the seaborne trade for coal over the past twenty years has unified formerly separate coal markets into a world market in which prices move in tandem. Due to its large domestic market, the United ...

  4. Essays on pricing under uncertainty

    E-Print Network [OSTI]

    Escobari Urday, Diego Alfonso

    2008-10-10T23:59:59.000Z

    sales from sales under average conditions, it presents is the first study to show empirical evidence of peak load pricing in airlines. (5) It controls for potential endogeneity of sales using dynamic panels. The first essay tests the empirical importance...

  5. The Price of Feed Utilities.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01T23:59:59.000Z

    TEXAS AGRICULTURAL EXPERIMENT STATION AGRICULTURAL AND MECHANICAL COLLEGE OF TEXAS W. B. BIZZELL, President BULLETIN NO. 323 September, 1924 DIVISION OF CHEMISTRY THE PRICE OF FEED UTILITIES B. YOUNGBLOOD, DIRECTOR COLLEGE STATION, BRAZOS.... SYNOPSIS The object of this Bulletin is to study the relation between the selling --:--s of commercial feeds and their content of feed utilities. The prices ounds of digestible protein, and therms of productive energy, were lated from certain available...

  6. Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions

    E-Print Network [OSTI]

    Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions R. The soft-cap market has not worked well. Spot prices for electricity in California remained consistently of different electric power markets with respect to price volatility and average market price. In particular

  7. The Effects of Price Transparency Regulation on Prices in the Healthcare Industry

    E-Print Network [OSTI]

    Mateo, Jill M.

    The Effects of Price Transparency Regulation on Prices in the Healthcare Industry Hans B Policymakers have enacted price transparency regulations in over thirty states during the past decade-state variation to address endogeneity concerns, we find that price transparency regulations reduce the price

  8. Impact on retail prices of non-neutral wholesale prices for content providers

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Impact on retail prices of non-neutral wholesale prices for content providers Giuseppe D Atlantique Rennes, France Email: bruno.tuffin@irisa.fr Abstract--The impact of wholesale prices is examined equal wholesale prices to the two content providers), the benefits coming from wholesale price

  9. An Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

    E-Print Network [OSTI]

    Lotko, William

    ), and British shipping cartels by Scott Morton (1997); research on Edgeworth cycles in retail gasoline pricing pricing data on rivals would not have been viewed as suspicious. The retail gasoline pricing data usedAn Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

  10. Not All Large Customers are Made Alike: Disaggregating Response toDefault-Service Day-Ahead Market Pricing

    SciTech Connect (OSTI)

    Hopper, Nicole; Goldman, Charles; Neenan, Bernie

    2006-05-12T23:59:59.000Z

    For decades, policymakers and program designers have gone onthe assumption that large customers, particularly industrial facilities,are the best candidates for realtime pricing (RTP). This assumption isbased partly on practical considerations (large customers can providepotentially large load reductions) but also on the premise thatbusinesses focused on production cost minimization are most likely toparticipate and respond to opportunities for bill savings. Yet fewstudies have examined the actual price response of large industrial andcommercial customers in a disaggregated fashion, nor have factors such asthe impacts of demand response (DR) enabling technologies, simultaneousemergency DR program participation and price response barriers been fullyelucidated. This second-phase case study of Niagara Mohawk PowerCorporation (NMPC)'s large customer RTP tariff addresses theseinformation needs. The results demonstrate the extreme diversity of largecustomers' response to hourly varying prices. While two-thirdsexhibitsome price response, about 20 percent of customers provide 75-80 percentof the aggregate load reductions. Manufacturing customers are mostprice-responsive as a group, followed by government/education customers,while other sectors are largely unresponsive. However, individualcustomer response varies widely. Currently, enabling technologies do notappear to enhance hourly price response; customers report using them forother purposes. The New York Independent System Operator (NYISO)'semergency DR programs enhance price response, in part by signaling tocustomers that day-ahead prices are high. In sum, large customers docurrently provide moderate price response, but there is significant roomfor improvement through targeted programs that help customers develop andimplement automated load-response strategies.

  11. Index Revision, House Price Risk, and the Market for House Price Derivatives

    E-Print Network [OSTI]

    Deng, Yongheng; Quigley, John M.

    2008-01-01T23:59:59.000Z

    bias in repeat-sales home price indices. Freddie Mac workingpaper #05–03. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

  12. Comparison of AEO 2005 natural gas price forecast to NYMEX futures prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

    revisions to the EIA’s natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

  13. Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  14. Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

    Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXs reference case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  15. Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    to estimate the base-case natural gas price forecast, but toComparison of AEO 2010 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  16. Comparison of AEO 2009 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts fromAEO series to contemporaneous natural gas prices that can be

  17. Crude oil prices and petroleum inventories : remedies for a broken oil price forecasting model.

    E-Print Network [OSTI]

    Grimstad, Dan

    2007-01-01T23:59:59.000Z

    ??The empirical relationship between crude oil prices and petroleum inventories has been exploited in a number of short-term oil price forecasting models. Some of the… (more)

  18. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    need to consider coal and other fuel prices. This work wascoal-fired generation, for example), for several reasons: (1) price

  19. Using Environmental Emissions Permit Prices to Raise Electricity Prices: Evidence from the California Electricity Market

    E-Print Network [OSTI]

    Kolstad, Jonathan; Wolak, Frank

    2003-01-01T23:59:59.000Z

    Environmental Emissions Permit Prices to Raise ElectricityEnvironmental Emissions Permit Prices to Raise Electricitythe conditions in the emissions permit market for oxides of

  20. actual situation analysis: Topics by E-print Network

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

    traffic participants. The proposed ASA includes all four levels of the traditional JDL (Joint Desel, Jrg 2 HOW TO APPLY ICA ON ACTUAL DATA ? EXAMPLE OF MARS HYPERSPECTRAL IMAGE...

  1. How many people actually see the price signal? Quantifying market failures in the end use of energy

    E-Print Network [OSTI]

    Meier, Alan; Eide, Anita

    2007-01-01T23:59:59.000Z

    landlords select the water heaters but their tenants mustin a high efficiency water heater. Another example is in thefamily home select the water heater and pay for the water

  2. adjusted loan pricing: Topics by E-print Network

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

    Spot pricing covers a range of electric utility pricing structures which relate the marginal costs of electric generation to the prices seen by utility customers. At the shortest...

  3. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01T23:59:59.000Z

    4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

  4. Edgeworth Price Cycles: Evidence from the Toronto Retail Gasoline Market

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

    Johnson. “Gas Wars: Retail Gasoline Price Fluctua- tions”,Canadian cities, retail gasoline prices are very volatileset of twelve-hourly retail gasoline prices for 22 service

  5. Essays on Automotive Lending, Gasoline Prices, & Automotive Demand

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

    National average retail gasoline prices peaked at over $so that average retail gasoline prices can be employed. Myrapid run-up in retail gasoline prices in recent history.

  6. The price of electricity from private power producers: Stage 2, Expansion of sample and preliminary statistical analysis

    SciTech Connect (OSTI)

    Comnes, G.A.; Belden, T.N.; Kahn, E.P.

    1995-02-01T23:59:59.000Z

    The market for long-term bulk power is becoming increasingly competitive and mature. Given that many privately developed power projects have been or are being developed in the US, it is possible to begin to evaluate the performance of the market by analyzing its revealed prices. Using a consistent method, this paper presents levelized contract prices for a sample of privately developed US generation properties. The sample includes 26 projects with a total capacity of 6,354 MW. Contracts are described in terms of their choice of technology, choice of fuel, treatment of fuel price risk, geographic location, dispatchability, expected dispatch niche, and size. The contract price analysis shows that gas technologies clearly stand out as the most attractive. At an 80% capacity factor, coal projects have an average 20-year levelized price of $0.092/kWh, whereas natural gas combined cycle and/or cogeneration projects have an average price of $0.069/kWh. Within each technology type subsample, however, there is considerable variation. Prices for natural gas combustion turbines and one wind project are also presented. A preliminary statistical analysis is conducted to understand the relationship between price and four categories of explanatory factors including product heterogeneity, geographic heterogeneity, economic and technological change, and other buyer attributes (including avoided costs). Because of residual price variation, we are unable to accept the hypothesis that electricity is a homogeneous product. Instead, the analysis indicates that buyer value still plays an important role in the determination of price for competitively-acquired electricity.

  7. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01T23:59:59.000Z

    effect of falling home prices on small business borrowing,”2 Understanding the Solar Home Price Premium: Electricitysocial influences on price,” Journal of Political Economy,

  8. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDiesel prices

  9. Simulation study of the impact of world oil prices on the development of the Libyan economy

    SciTech Connect (OSTI)

    Abosedra, S.S.

    1984-01-01T23:59:59.000Z

    The goal of this study was to determine quantitatively how sensitive and vulnerable the Libyan economy's aggregates are to fluctuations in world oil prices. In order to achieve the goal, a macroeconomic model of the Libyan economy was constructed using annual data from 1962-1978. The model contains 36 relations, of which 19 are behavioral equations and 17 are identities. The model was validated by both historical simulation and a one-period out-of-sample forecast. Having established the predictive ability of the model, alternative future scenarios of the Libyan economy were examined from 1980-1987 by performing an ex-ante simulation for this period. This simulation was divided into two sections. The first covers the period 1980-1983, for which actual data for Libyan oil prices and the volume of Libyan oil exports are available. The second section covers the period 1984-1987. In this section the future of the Libyan economy was simulated under a basic price scenario which reflects the most likely forecast regarding the world oil price level from 1984-1987. In addition, a sensitivity analysis was performed by establishing a new scenario for the world oil price level from 1984-1987. A comparison the results of these simulations shows the effects resulting from changes in the world oil price level on the Libyan economy.

  10. An Empirical Test of Pricing Kernel Monotonicity

    E-Print Network [OSTI]

    Beare, Brendan K.; Schmidt, Lawrence

    2011-01-01T23:59:59.000Z

    and Mancini, L. (2008). A GARCH option pricing model with ?H. H. (2011). Realized GARCH: A joint model for returns andO (2010) use an asymmet- ric GARCH model to obtain pricing

  11. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01T23:59:59.000Z

    This thesis analyzes how public utility prices should be changed over time and space. Earlier static and non spatial models of public utility pricing emerge as special cases of the theory developed here. Electricity is ...

  12. Essays on Pricing Behaviors of Energy Commodities

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

    This dissertation investigates the pricing behaviors of two major energy commodities, U.S. natural gas and crude oil, using times series models. It examines the relationships between U.S. natural gas price variations and changes in market...

  13. FOUNDATIONS OF PRICING AND INVESTMENT IN

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad CatĂłlica de Chile)

    Transmission pricing has become a central issue in the discussions regarding the redesign of deregulated issues in electricity transmission pricing and their link with the energy market. Transmission short run

  14. Essays on trades and security prices

    E-Print Network [OSTI]

    Obizhaeva, Anna

    2007-01-01T23:59:59.000Z

    This thesis consists of three chapters that investigate the complex relation between security prices and trades of market participants. In the first chapter, I study the evolution of stock prices after trades with different ...

  15. Essays on macroeconomic risks and stock prices

    E-Print Network [OSTI]

    Duarte, Fernando Manuel

    2011-01-01T23:59:59.000Z

    In this thesis, I study the relationship between macroeconomic risks and asset prices. In the first chapter, I establish that inflation risk is priced in the cross-section of stock returns: stocks that have low returns ...

  16. Pricing strategies under heterogeneous service requirements

    E-Print Network [OSTI]

    Boucherie, Richard J.

    prioriti- zation is useless; if there were no price difference between the priority classes, all users/Lucent Technologies, P.O. Box 636, Murray Hill, NJ 07974, United States. In other words: the prices of the priority

  17. Essays on Risk Sharing and Pricing

    E-Print Network [OSTI]

    Tran, Ngoc-Khanh

    2012-01-01T23:59:59.000Z

    This thesis consists of three chapters in asset pricing. Chapter 1 considers an international asset pricing setting with traded and non-traded out puts. It shows that output fluctuations in nontraded industries are a central ...

  18. Credit Price Optimisation within Retail Banking

    E-Print Network [OSTI]

    2013-10-25T23:59:59.000Z

    to a more flexible demand-based pricing strategy, see Skugge (2011). ... Ferguson (2007) bid-response models are presented for customised .... problem, the fundamental building blocks of the credit price optimisation problem is set out below.

  19. Project Cost Escalation Standards, document IEAB 2007-2 Page 1 Independent Economic Analysis Board

    E-Print Network [OSTI]

    and contracting. Inflation and Cost Escalation Principles Inflation refers to an increase in price levels over in the report and guidance is provided for using cost escalators and price indices to improve cost predictions time. Prices paid by fish and wildlife projects for inputs such as labor and materials often increase

  20. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    In comparison, the rise in coal prices has been slower andindustrial price. Finally, coal prices come from Table 4.1Fiberglass Energy Prices Diesel Coal Natural Gas Currency

  1. PRICING ENERGY DERIVATIVES BY LINEAR PROGRAMMING: TOLLING AGREEMENT CONTRACTS

    E-Print Network [OSTI]

    Uryasev, Stanislav

    PRICING ENERGY DERIVATIVES BY LINEAR PROGRAMMING: TOLLING AGREEMENT CONTRACTS Valeriy Ryabchenko for pricing energy derivatives known as tolling agreement contracts. The pricing problem is reduced energy derivatives. The problem of pricing such contracts falls into the class of multiple optimal

  2. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    1977-1978 HEATING OIL PRICES II-1 II-3 II-3 Wholesale PricesMonthly U.S. Heating Oil Prices, 1970 - 1978 . . A-16 .H-3 .continuous No. 2 heating oil price information from 1970 to

  3. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are thedriven by the world crude oil price rather than by exchange-how consumers think about oil prices and price expectations,

  4. Intraclass Price Elasticity & Electric Rate Design

    E-Print Network [OSTI]

    Gresham, K. E.

    INTRACLASS PRICE ELASTICITY &ELECTRIC RATE DESIGN KEVIN E. GRESHAM Senior Research Analyst Houston Lighting & Power Company Houston, Texas ABSTRACT PRICE ELASTICITY Electric ~ate design relies on cost incur rance for pricing and pricing... industries are already affecting electric utilities. Cogeneration is one example of competition which effects electric utilities. Utilities now have a competing source of generation which often causes load and revenue losses. Competition has specifically...

  5. Davison Health Center Price List*

    E-Print Network [OSTI]

    Royer, Dana

    student account. Please see a Health Center representative for more information. Under the Affordable CareDavison Health Center Price List* Beginning Fall 2013, visits and most services to the Health Act, many of the immunizations and lab tests below are covered by insurance (sexual health testing

  6. FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY MARKETS

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad CatĂłlica de Chile)

    FIRST PRICE AND SECOND PRICE AUCTION MODELLING FOR ENERGY CONTRACTS IN LATIN AMERICAN ELECTRICITY and capacity markets have been investigated for this purpose. Latin American mar- kets are exploring energy object first-price auction and single object second- price auction. These formats are analyzed under

  7. Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal a

    E-Print Network [OSTI]

    Jaimungal, Sebastian

    Energy Spot Price Models and Spread Options Pricing Samuel Hikspoors and Sebastian Jaimungal In this article, we construct forward price curves and value a class of two asset exchange options for energy the implied market prices of risk for this commodity. 1. Introduction The energy commodity markets

  8. A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price and

    E-Print Network [OSTI]

    Oren, Shmuel S.

    marginal price or an option contract on energy at a given strike price will be "in the money", i to price energy call options and generation capacity and to evaluate the inframarginal profit whether the plant will be able, on average, to recover its amortized fixed cost. The pricing of energy

  9. Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds W@orie.cornell.edu November 13, 2012 Abstract We consider two variants of a pricing problem under the nested logit model. In the first variant, the set of products offered to customers is fixed and we want to determine the prices

  10. 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING ................................................... 1

    E-Print Network [OSTI]

    McCarl, Bruce A.

    13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING.................................................................................................................... 16 #12;13.1 Introduction A common economic application of nonlinear programming involves price endogenous models. In the standard LP model, input and output prices or quantities are assumed fixed

  11. Design of Price Mechanisms for Network Resource Allocation via Price of Anarchy

    E-Print Network [OSTI]

    Chen, Ying-Ju

    Design of Price Mechanisms for Network Resource Allocation via Price of Anarchy Ying-Ju Chen Jiawei Zhang March 20, 2010 Abstract We study the design of price mechanisms for communication network problems on each link depends on the total traffic flows over it. The price mechanisms are characterized by a set

  12. Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Asymmetric and nonlinear pass-through of crude oil prices to gasoline and natural gas prices Ahmed distributed lags (NARDL) mod- el to examine the pass-through of crude oil prices into gasoline and natural gas the possibility to quantify the respective responses of gasoline and natural gas prices to positive and negative

  13. Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008-9

    E-Print Network [OSTI]

    1 Business Cycle Effects on Metal and Oil Prices: Understanding the Price Retreat of 2008 of macroeconomic business cycles on six metals traded on the London Metal Exchange and oil prices. Reduced GDP oil prices (as a proxy for energy inputs in metals production) are derived. The estimated trend

  14. Project Year Project Title

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    the cost of the project to labor only. The efficacy of the examples will be assessed through their useProject Year 2012-2013 Project Title Sight-Reading at the Piano Project Team Ken Johansen, Peabody) Faculty Statement The goal of this project is to create a bank of practice exercises that student pianists

  15. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    design goals for this project include low cost (less than $30 per paddle) and robustness. The projectProject Year 2001 Project Team Faculty: Allison Okamura, Mechanical Engineering, Whiting School Project Title Haptic Display of Dynamic Systems Audience 30 to 40 students per year, enrolled

  16. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    -year section of the summer project will cost $1344.) This project will be measured by the CER surveys conductedProject Year 2005 Project Team Sean Greenberg, Faculty, Philosophy Department, Krieger School of Arts & Sciences; Kevin Clark, Student, Philosophy Department, Krieger School of Arts & Sciences Project

  17. Oil Price and the Dollar Virginie Coudert

    E-Print Network [OSTI]

    Boyer, Edmond

    Oil Price and the Dollar Virginie Coudert , Val´erie Mignon , Alexis Penot§ 6th April 2005 Abstract The aim of this paper is to test whether a stable long-term relationship exists between oil prices and causality study between the two variables. Our results indicate that causality runs from oil prices

  18. COMMODITY PRICE VOLATILITY ACROSS EXCHANGE RATE REGIMES

    E-Print Network [OSTI]

    1 COMMODITY PRICE VOLATILITY ACROSS EXCHANGE RATE REGIMES John T. Cuddington* and Hong Liang** March 10, 2003 ABSTRACT This paper documents a new "stylized fact" regarding the relative price 1880 to 1996, this key relative price among two categories of tradable goods is shown to exhibit

  19. Price war with migrating customers Patrick Maille

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Price war with migrating customers Patrick Maill´e TELECOM Bretagne 2, rue de la Ch^ataigneraie CS customers churn between providers due to better prices, better reputation or better services. We propose in this paper to study the price war between two providers in the case where users' decisions are modeled

  20. Ubiquitous Computing, Customer Tracking, and Price Discrimination

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Ubiquitous Computing, Customer Tracking, and Price Discrimination Alessandro Acquisti H. John Heinz's analysis is the possibility of combining context, historical, location and other personal data to dynamically alter the price of a product for each consumer - a form of price discrimination also known

  1. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

    : In this paper, we develop a spatial price network equilibrium model in which consumers at the demand marketsMulticriteria Spatial Price Networks: Statics and Dynamics Anna Nagurney Department of Finance commodity. We provide the governing equilibrium conditions for the multicriteria spatial price problem

  2. Why Do Motor Gasoline Prices Vary Regionally? California Case Study

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    Analysis of the difference between the retail gasoline prices in California and the average U.S. retail prices.

  3. Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing

    SciTech Connect (OSTI)

    Goldman, Chuck; Hopper, Nicole; Bharvirkar, Ranjit; Neenan,Bernie; Boisvert, Dick; Cappers, Peter; Pratt, Donna; Butkins, Kim

    2005-08-25T23:59:59.000Z

    Real-time pricing (RTP) has been advocated as an economically efficient means to send price signals to customers to promote demand response (DR) (Borenstein 2002, Borenstein 2005, Ruff 2002). However, limited information exists that can be used to judge how effectively RTP actually induces DR, particularly in the context of restructured electricity markets. This report describes the second phase of a study of how large, non-residential customers' adapted to default-service day-ahead hourly pricing. The customers are located in upstate New York and served under Niagara Mohawk, A National Grid Company (NMPC)'s SC-3A rate class. The SC-3A tariff is a type of RTP that provides firm, day-ahead notice of hourly varying prices indexed to New York Independent System Operator (NYISO) day-ahead market prices. The study was funded by the California Energy Commission (CEC)'s PIER program through the Demand Response Research Center (DRRC). NMPC's is the first and longest-running default-service RTP tariff implemented in the context of retail competition. The mix of NMPC's large customers exposed to day-ahead hourly prices is roughly 30% industrial, 25% commercial and 45% institutional. They have faced periods of high prices during the study period (2000-2004), thereby providing an opportunity to assess their response to volatile hourly prices. The nature of the SC-3A default service attracted competitive retailers offering a wide array of pricing and hedging options, and customers could also participate in demand response programs implemented by NYISO. The first phase of this study examined SC-3A customers' satisfaction, hedging choices and price response through in-depth customer market research and a Constant Elasticity of Substitution (CES) demand model (Goldman et al. 2004). This second phase was undertaken to answer questions that remained unresolved and to quantify price response to a higher level of granularity. We accomplished these objectives with a second customer survey and interview effort, which resulted in a higher, 76% response rate, and the adoption of the more flexible Generalized Leontief (GL) demand model, which allows us to analyze customer response under a range of conditions (e.g. at different nominal prices) and to determine the distribution of individual customers' response.

  4. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08T23:59:59.000Z

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  5. Empirical Analysis of the Spot Market Implications ofPrice-Responsive Demand

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Bartholomew, Emily S.; Marnay, Chris

    2005-08-01T23:59:59.000Z

    Regardless of the form of restructuring, deregulatedelectricity industries share one common feature: the absence of anysignificant, rapid demand-side response to the wholesale (or, spotmarket) price. For a variety of reasons, most electricity consumers stillpay an average cost based regulated retail tariff held over from the eraof vertical integration, even as the retailers themselves are oftenforced to purchase electricity at volatile wholesale prices set in openmarkets. This results in considerable price risk for retailers, who aresometimes additionally forbidden by regulators from signing hedgingcontracts. More importantly, because end-users do not perceive real-time(or even hourly or daily) fluctuations in the wholesale price ofelectricity, they have no incentive to adjust their consumptionaccordingly. Consequently, demand for electricity is highly inelastic,which together with the non storability of electricity that requiresmarket clearing over very short time steps spawn many other problemsassociated with electricity markets, such as exercise of market power andprice volatility. Indeed, electricity generation resources can bestretched to the point where system adequacy is threatened. Economictheory suggests that even modest price responsiveness can relieve thestress on generation resources and decrease spot prices. To quantify thiseffect, actual generator bid data from the New York control area is usedto construct supply stacks and intersect them with demand curves ofvarious slopes to approximate the effect of different levels of demandresponse. The potential impact of real-time pricing (RTP) on theequilibrium spot price and quantity is then estimated. These resultsindicate the immediate benefits that could be derived from a moreprice-responsive demand providing policymakers with a measure of howprices can be potentially reduced and consumption maintained within thecapability of generation assets.

  6. Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers: AAAAnnnn UpdatedUpdatedUpdatedUpdated Literature ReviewLiterature ReviewLiterature ReviewLiterature Review

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    , such as unexpected fluctuations in energy demand, energy prices (e.g., oil, gas, coal) and weather conditions1 Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers:Carbon Price Drivers: AAAAnnnn the factors that shape the price of carbon, where one European Union Allowance is equal to one ton of CO2

  7. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2002 Project Team Faculty: Louise Pasternack, Chemistry Department, Krieger School, Krieger School of Arts & Sciences Project Title Introductory Chemistry Lab Demonstrations Audience an interactive virtual lab manual that will facilitate understanding of the procedures and techniques required

  8. Price regulation for waste hauling franchises in California: an examination of how regulators regulate pricing and the effects of competition on regulated markets

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01T23:59:59.000Z

    Thomadakis, Stavros. “Price Regulation Under Uncertainty in698. Bös, Dieter. Pricing and Price Regulation. Elsevier.Optimal Structure of Public Prices. ” The American Economic

  9. State energy price and expenditure report 1991

    SciTech Connect (OSTI)

    Not Available

    1993-09-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

  10. Retrospective Evaluation of Appliance Price Trends

    SciTech Connect (OSTI)

    Dale, Larry; Antinori, Camille; McNeil, Michael; McMahon, James E.; Fujita, K. Sydny

    2008-07-20T23:59:59.000Z

    Real prices of major appliances (refrigerators, dishwashers, heating and cooling equipment) have been falling since the late 1970s despite increases in appliance efficiency and other quality variables. This paper demonstrates that historic increases in efficiency over time, including those resulting from minimum efficiency standards, incur smaller price increases than were expected by Department of Energy (DOE) forecasts made in conjunction with standards. This effect can be explained by technological innovation, which lowers the cost of efficiency, and by market changes contributing to lower markups and economies of scale in production of higher efficiency units. We reach four principal conclusions about appliance trends and retail price setting: 1. For the past several decades, the retail price of appliances has been steadily falling while efficiency has been increasing. 2. Past retail price predictions made by DOE analyses of efficiency standards, assuming constant prices over time, have tended to overestimate retail prices. 3. The average incremental price to increase appliance efficiency has declined over time. DOE technical support documents have typically overestimated this incremental price and retail prices. 4. Changes in retail markups and economies of scale in production of more efficient appliances may have contributed to declines in prices of efficient appliances.

  11. SCIENCE: JAMES WEBB SPACE TELESCOPE (JWST) Budget Authority Actual Estimate

    E-Print Network [OSTI]

    ) Prior FY 2011 FY 2012 FY 2013 FY 2014 FY 2015 FY 2016 FY 2017 BTC Total FY 2013 President's Budget TELESCOPE (JWST) Formulation Development Operations JWST-2 FY 2013 BUDGET Budget Authority Actual Estimate (in $ millions) Prior FY 2011 FY 2012 2013 FY 2014 FY 2015 FY 2016 FY 2017 BTC Total FY 2013 President

  12. Estimating the Actual Cost of Transmission System Congestion

    E-Print Network [OSTI]

    of the utility's generation, load and tie-line flows over the study time period. Due to the common lack by most be used by a utility to estimate the actual cost of congestion on its transmission system using limited interconnected grid (i.e., the Eastern Interconnect), costs for the utility's generators, and then hourly values

  13. Shale gas production: potential versus actual greenhouse gas emissions*

    E-Print Network [OSTI]

    Shale gas production: potential versus actual greenhouse gas emissions* Francis O, monitor and verify greenhouse gas emissions and climatic impacts. This reprint is one of a series intended Environ. Res. Lett. 7 (2012) 044030 (6pp) doi:10.1088/1748-9326/7/4/044030 Shale gas production: potential

  14. Do Concept Inventories Actually Measure Anything? Colin S. Wallace

    E-Print Network [OSTI]

    Colorado at Boulder, University of

    Do Concept Inventories Actually Measure Anything? Colin S. Wallace University of Colorado Society. All rights reserved. Abstract Although concept inventories are among the most frequently used it to the Star Properties Concept Inventory. We also use IRT to explore an important psychometrics debate

  15. COORDINATING ADVICE AND ACTUAL TREATMENT Thomas A. Russ

    E-Print Network [OSTI]

    Russ, Thomas A.

    . Unfortunately, this information is not always immediately available. For example, the exact fluid infused via an intravenous line can only be determined after someone checks the infusion bottle to determine how much fluid differ in timing and exact amount from what is actually done. For example, an infusion order might call

  16. Problem definition Branch-and-Price approach Pricing: knapsack problem with conflicts Results A Branch-and-Price Algorithm for the Bin

    E-Print Network [OSTI]

    Vanderbeck, François

    Problem definition Branch-and-Price approach Pricing: knapsack problem with conflicts Results A Branch-and-Price Algorithm for the Bin Packing Problem with Conflicts Ruslan Sadykov1 François Vanderbeck Sadykov, François Vanderbeck Branch-and-price for bin packing with conflicts #12;Problem definition Branch-and-Price

  17. Charts and graphs: NUKEM Uranium price ange data; NUKEM Uranium historical price graph; U.S. DOE & euratom average contract prices for natural uranium; NUKEM SWU historical price graph; NUKEM SWU spot/secondary price range; U.S. DOE separative work prices data

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This article is the uranium market data summary. It contains data for the following subjects: (1) March 1996 transactions, (2) Uranium price range data, (3) Historical uranium price range data, (4) DOE and Euratom average contract prices for natural uranium, (5) SWU historical price data, (6) SWU/spot/secondary price range data, and (7) DOE SWU prices data.

  18. Innovative Utility Pricing for Industry

    E-Print Network [OSTI]

    Ross, J. A.

    INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

  19. Project Year Project Title

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2013-2014 Project Title German Online Placement Exam Project Team Deborah Mifflin to increased cost. As well, it lacked listening comprehension, writing and speaking components providing support, we will use Blackboard for this project. The creation will require numerous steps

  20. Project Year Project Title

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    that incorporate video taped procedures for student preview. Solution This project will create videos for more to study the procedure and techniques before coming to class. Our previous fellowship project addressedProject Year 2009 Project Title Enhancing Biology Laboratory Preparation through Video

  1. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    , there is no resource available to view the procedure before class. Solution The purpose of this project is to capture available to view the procedure before class. The purpose #12;of this project is to capture variousProject Year 2007 Project Team Kristina Obom, Faculty, Advanced Academic Programs, Krieger School

  2. SSL Pricing and Efficacy Trend Analysis for Utility Program Planning

    SciTech Connect (OSTI)

    Tuenge, Jason R.

    2013-10-01T23:59:59.000Z

    An LED lamp or luminaire can generally be found that matches or exceeds the efficacy of benchmark technologies in a given product category, and LED products continue to expand into ever-higher lumen output niches. However, the price premium for LED continues to pose a barrier to adoption in many applications, in spite of expected savings from reduced energy use and maintenance. Other factors—such as dimmability and quality of light—can also present challenges. The appropriate type, timing, and magnitude of energy efficiency activities will vary from organization to organization based on local variables and the method of evaluation. A number of factors merit consideration when prioritizing activities for development. Category-specific projections for pricing and efficacy are provided herein to assist in efficiency program planning efforts.

  3. E-Print Network 3.0 - actual decommissioning project Sample Search...

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

    Center Collection: Physics 2 Ocean & Coastal Management 47 (2004) 2148 Ecological and political issues surrounding Summary: in the United States As aptly noted by Wiseman 6,...

  4. Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: Reported provedReal Gross

  5. Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: Reported

  6. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: ReportedEnergyChangesa.

  7. Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

    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 AdministrationcontrollerNanocrystallineForeign ObjectOUR Table 1. Summary: ReportedEnergyChangesa.b.

  8. Table 3a. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome toTotala. Imported Refiner

  9. Table 3b. Imported Refiner Acquisition Cost of Crude Oil, Projected vs. Actual

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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.Welcome toTotala. Imported Refinera.b.

  10. "Table 17. Total Delivered Residential Energy Consumption, Projected vs. Actual"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Delivered

  11. "Table 18. Total Delivered Commercial Energy Consumption, Projected vs. Actual"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Delivered

  12. "Table 19. Total Delivered Industrial Energy Consumption, Projected vs. Actual"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Delivered

  13. "Table 2. Real Gross Domestic Product Growth Trends, Projected vs. Actual"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total

  14. "Table 20. Total Delivered Transportation Energy Consumption, Projected vs. Actual"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Total

  15. "Table 21. Total Energy Related Carbon Dioxide Emissions, Projected vs. Actual"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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 < RAPID Jump to:SeadovCooperativeA2. World9, 2014 International PetroleumFuel Oil8Status Total Total Total

  16. The Implications of a Gasoline Price Floor for the California Budget and Greenhouse Gas Emissions

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Emissions Surcharge Revenues Oil Price Price elas= -0.1 elasEmissions Surcharge Revenues Oil Price Price elas= -0.1 elasQuantity Daily GhG Emissions Oil Price Price elas= -0.1 elas

  17. Tracking the Sun VII: An Historical Summary of the Installed Price of Photovoltaics in the United States from 1998 to 2013

    SciTech Connect (OSTI)

    Barbose, Galen; Weaver, Samantha; Darghouth, Naim

    2014-08-26T23:59:59.000Z

    As the deployment of grid-connected solar photovoltaic (PV) systems has increased, so too has the desire to track the cost and price of these systems. This report helps to fill this need by summarizing trends in the installed price of grid-connected PV systems in the United States from 1998 through 2013, with partial data for the first half of 2014. The analysis is based on project-level data for more than 300,000 individual residential, commercial, and utility-scale PV systems installed across 33 states and representing 80% of all grid-connected PV capacity installed in the United States through 2013. It is essential to note at the outset what the data presented within this report represent. First, the data consist of prices paid to project developers or installers (prior to receipt of any incentives), and for a variety of reasons, those prices may differ from the underlying costs borne by project developers/installers. Second, the data are historical, focusing primarily on projects installed through the end of 2013, and therefore do not reflect the price of projects installed more recently (with the exception of the limited set of results presented for systems installed in the first half of 2014); nor are the data indicative of prices currently being quoted for prospective projects to be installed at a later date. For these reasons and others, the results presented in this report may differ from current PV price or cost benchmarks. Third, by focusing on the up-front price paid by the PV system owner prior, the report does not capture trends associated with PV performance or other factors that impact the levelized cost of electricity for PV. Finally, the underlying data collected for this report include third party owned (TPO) projects where either the system is leased to the site-host or the generation output is sold to the site-host under a power purchase agreement. For a subset of TPO systems, the installed price data represent appraised values rather than transaction prices, and those projects were removed from the data sample in order to eliminate any associated bias. The report presents one set of installed price trends for residential and commercial PV systems, and another set for utility-scale PV. In all cases, installed prices are identified in terms of real 2013 dollars per installed watt (DC-STC), prior to receipt of any direct financial incentives or tax credits. This report separately summarizes installed price data for utility-scale PV projects, drawing upon data also presented in LBNL’s companion report, Utility Scale Solar 2013: An Empirical Analysis of Project Cost, Performance, and Pricing Trends in the United States. For our purposes, utility-scale PV is defined to consist of ground-mounted projects larger than 5 MW. The sample of installed price data includes 97 projects with commercial operation dates spanning the period 2007- 2013. Several important features of the utility-scale data are worth noting, in addition to those noted earlier for the dataset as a whole. First, the sample includes only fully operational projects for which all individual phases are in operation and treats all phases as a single project with a commercial operation date based on the final phase. Second, installed prices reported for utility-scale projects often reflect transactions that occurred several years before project completion; the prices reported for some of these projects may not fully capture recent reductions in module costs or other changes in market conditions, and thus may exhibit a relatively large “temporal lag”.

  18. Home energy ratings systems: Actual usage may vary

    SciTech Connect (OSTI)

    Stein, J.R. [Lawrence Berkeley National Lab., CA (United States)

    1997-09-01T23:59:59.000Z

    Home energy ratings (HERS) attempt to predict typical energy costs for a given residence and estimate the savings potentials of various energy retrofits. This article discusses where the ratings could be improved to more accurately predict the actual energy consumption. Topics covered include the following: is HERS on target (scores, energy predictions, recommended energy improvements); why HERS aren`t perfect; improvements in HERS; the possibility that home energy ratings systems will become market driven. 1 fig., 2 tabs.

  19. Project scheduling using fuzzy PERT and risk management

    E-Print Network [OSTI]

    Yoo, Wi Sung

    2012-06-07T23:59:59.000Z

    Program evaluation and review techniques (PERT) is an efficient tool for large project management. In actual project control decisions, classical PERT, which is based upon beta distribution, presents a few deficiencies. Generally speaking, classical...

  20. 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.

  1. Do Americans Consume Too Little Natural Gas? An Empirical Test of Marginal Cost Pricing

    E-Print Network [OSTI]

    Davis, Lucas; Muehlegger, Erich

    2009-01-01T23:59:59.000Z

    consumption and average delivered prices by customer class, city gate prices, the spot price for North Sea crude oil (

  2. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08T23:59:59.000Z

    I explore the effects of two simultaneous changes in minimum energy efficiency and ENERGY STAR standards for clothes washers. Adapting the Mussa and Rosen (1978) and Ronnen (1991) second-degree price discrimination model, I demonstrate that clothes washer prices and menus adjusted to the new standards in patterns consistent with a market in which firms had been price discriminating. In particular, I show evidence of discontinuous price drops at the time the standards were imposed, driven largely by mid-low efficiency segments of the market. The price discrimination model predicts this result. On the other hand, in a perfectly competition market, prices should increase for these market segments. Additionally, new models proliferated in the highest efficiency market segment following the standard changes. Finally, I show that firms appeared to use different adaptation strategies at the two instances of the standards changing.

  3. State energy price and expenditure report 1994

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1994. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1994, Consumption Estimates (SEDR), published in October 1996. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources. Documentation is included describing the development of price estimates, data sources, and calculation methods. 316 tabs.

  4. Oil Price Shocks: Causes and Consequences

    E-Print Network [OSTI]

    Lutz Kilian; Key Words

    Research on oil markets conducted during the last decade has challenged long-held beliefs about the causes and consequences of oil price shocks. As the empirical and theoretical models used by economists have evolved, so has our understanding of the determinants of oil price shocks and of the interaction between oil markets and the global economy. Some of the key insights are that the real price of oil is endogenous with respect to economic fundamentals, and that oil price shocks do not occur ceteris paribus. This makes it necessary to explicitly account for the demand and supply shocks underlying oil price shocks when studying their transmission to the domestic economy. Disentangling cause and effect in the relationship between oil prices and the economy requires structural models of the global economy including oil and other commodity markets.

  5. Production and price projections for Texas grapefruit - 1975

    E-Print Network [OSTI]

    Tefertiller, Edward Harold

    1969-01-01T23:59:59.000Z

    different water supply situations as follows: l. Assumed Texas water resources as they are with no further developm nt, 2. Assu. , ed developm nt with th new Texas water Plan, and 3. Assumed maximum wat' r development. The water supp'y . o- irrigation... d as: Q = f(P, P, P . , I& T) g g' o' fcoj ' wher Q =- th quan'ity c . grnp f;o't consur. , ed p, " cap ta in th U. S Q Q' Qd Fig. 2a. Change -'n the demand. P 1 P 2 Q Q Fig. 2b. Change in the cuantity de=ended. 17 P = the U. S...

  6. Actual and Estimated Energy Savings Comparison for Deep Energy Retrofits in the Pacific Northwest

    SciTech Connect (OSTI)

    Blanchard, Jeremy; Widder, Sarah H.; Giever, Elisabeth L.; Baechler, Michael C.

    2012-10-01T23:59:59.000Z

    Seven homes from the Pacific Northwest were selected to evaluate the differences between estimated and actual energy savings achieved from deep energy retrofits. The energy savings resulting from these retrofits were estimated, using energy modeling software, to save at least 30% on a whole-house basis. The modeled pre-retrofit energy use was trued against monthly utility bills. After the retrofits were completed, each of the homes was extensively monitored, with the exception of one home which was monitored pre-retrofit. This work is being conducted by Pacific Northwest National Laboratory (PNNL) for the U.S. Department of Energy Building Technologies Program as part of the Building America Program. This work found many discrepancies between actual and estimated energy savings and identified the potential causes for the discrepancies. The differences between actual energy use and modeled energy use also suggest improvements to improve model accuracy. The difference between monthly whole-house actual and estimated energy savings ranged from 75% more energy saved than predicted by the model to 16% less energy saved for all the monitored homes. Similarly, the annual energy savings difference was between 36% and -14%, which was estimated based on existing monitored savings because an entire year of data is not available. Thus, on average, for all six monitored homes the actual energy use is consistently less than estimates, indicating home owners are saving more energy than estimated. The average estimated savings for the eight month monitoring period is 43%, compared to an estimated savings average of 31%. Though this average difference is only 12%, the range of inaccuracies found for specific end-uses is far greater and are the values used to directly estimate energy savings from specific retrofits. Specifically, the monthly post-retrofit energy use differences for specific end-uses (i.e., heating, cooling, hot water, appliances, etc.) ranged from 131% under-predicted to 77% over-predicted by the model with respect to monitored energy use. Many of the discrepancies were associated with occupant behavior which influences energy use, dramatically in some cases, actual versus modeled weather differences, modeling input limitations, and complex homes that are difficult to model. The discrepancy between actual and estimated energy use indicates a need for better modeling tools and assumptions. Despite the best efforts of researchers, the estimated energy savings are too inaccurate to determine reliable paybacks for retrofit projects. While the monitored data allows researchers to understand why these differences exist, it is not cost effective to monitor each home with the level of detail presented here. Therefore an appropriate balance between modeling and monitoring must be determined for more widespread application in retrofit programs and the home performance industry. Recommendations to address these deficiencies include: (1) improved tuning process for pre-retrofit energy use, which currently utilized broad-based monthly utility bills; (2) developing simple occupant-based energy models that better address the many different occupant types and their impact on energy use; (3) incorporating actual weather inputs to increase accuracy of the tuning process, which uses utility bills from specific time period; and (4) developing simple, cost-effective monitoring solutions for improved model tuning.

  7. Role of speculation in short-term US oil crude prices and gasoline price variability of the 2000s and the role of monetary policy price stability interventions.

    E-Print Network [OSTI]

    Norris, Leah C.

    2010-01-01T23:59:59.000Z

    ?? The objectives of this study were to analyze the short-run impact of futures contract prices on crude oil prices, the impact of crude oil… (more)

  8. Flexible procurement strategies smooth price spikes

    SciTech Connect (OSTI)

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

    2006-12-15T23:59:59.000Z

    Pace Global Energy Services has been predicting for some time that the recent peaks in spot coal prices were not sustainable and this has been borne out. The latest available data on coal supply and demand fundamental suggest that spot coal prices may decline even more rapidly than previously forecast. Price volatility over the last five years suggests that a flexible procurement strategy that is well adapted to volatile market conditions may be just as important as knowledge of market fundamentals. 3 figs.

  9. State energy price and expenditure report 1993

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

  10. State energy price and expenditure report 1992

    SciTech Connect (OSTI)

    Not Available

    1994-12-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

  11. Docket No. PA02-2-000 Price Manipulation in Western MarketsV-1 V. The Influence of Electricity Spot Prices on Electricity

    E-Print Network [OSTI]

    Laughlin, Robert B.

    of Electricity Spot Prices on Electricity Forward Prices Summary of Results The vital link between the spot price electric prices today and the forward price of electricity. Instead, forward prices should mostly reflect electricity in the West, forward gas prices should, in large part, explain forward electricity prices. Our

  12. A multiperiod optimization model to schedule large-scale petroleum development projects

    E-Print Network [OSTI]

    Husni, Mohammed Hamza

    2009-05-15T23:59:59.000Z

    ............................................................................. 79 5.3.2 Uncertainties of Oil Prices ................................................... 87 5.3.3 Flexibility of Constraints ...................................................... 89 5.3.4 Projects Staging....3 World oil prices from EIA, AEO2007 ...................................................... 50 4.4 Cash flow streams in the aggregate ........................................................... 52 4.5a Development projects P1 to P3...

  13. Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial...

    Energy Savers [EERE]

    to Solar PV in New York City? Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial to Solar PV in New York City? The goal of this study is to evaluate the...

  14. An Empirical Study of Pricing Strategies in an Online Market with High Frequency Price Information

    E-Print Network [OSTI]

    Ellison, Sara Fisher

    2011-07-12T23:59:59.000Z

    We study competition among a score of firms participating in an online market for a commodity-type memory module. Firms were able to adjust prices continuously; prices determined how the firms were ranked and listed (lowest ...

  15. Comparison of AEO 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    late January 2008, extend its natural gas futures strip anComparison of AEO 2008 Natural Gas Price Forecast to NYMEXs reference-case long-term natural gas price forecasts from

  16. The effects of oil prices and other economic indicators on housing prices in Calgary, Canada

    E-Print Network [OSTI]

    Padilla, Mercedes A. (Mercedes Angeles)

    2005-01-01T23:59:59.000Z

    This thesis aims to answer: (1) to what extent can oil prices and other economic indicators predict the changes in housing prices and rent in the Calgary single family housing market and (2) to determine what the lag time ...

  17. A uniform price auction with locational price adjustments for competitive electricity markets

    E-Print Network [OSTI]

    ; Competitive electricity markets; Poolco Alternatively, the Market Coordinator could ask the private generatingA uniform price auction with locational price adjustments for competitive electricity markets b School of Electrical Engineering, Phillips Hall, Cornell University, Ithaca, NY 14853, USA c

  18. Price dispersion in the airline industry: the effect of industry elasticity and cross-price elasticity

    E-Print Network [OSTI]

    Kim, Jong Ho

    2009-06-02T23:59:59.000Z

    This dissertation analyzes the sources of price dispersion due to the price discrimination in the U.S. airline industry. Using the multi-stage budgeting approach with the almost ideal demand system (AIDS) specification, we estimate demand for air...

  19. The Impact of Rising Food Prices on Household Welfare in India

    E-Print Network [OSTI]

    de Janvry, Alain; Sadoulet, Eliisabeth

    2009-01-01T23:59:59.000Z

    effects of cereal and oil price changes - Farmers (Rd 59)From wheat price From oil prices Overall gain Average losseffects of cereal and oil price changes – Farmers, by

  20. Sustainably Priced Energy Enterprise Development (SPEED) Goals

    Broader source: Energy.gov [DOE]

    Vermont's Sustainably Priced Energy Enterprise Development (SPEED) Program was created by legislation in 2005 to promote renewable energy development. The SPEED program itself is not a renewable...

  1. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

    The hypothesis of this paper is that crude oil, like any other unfinished commodity, is valued for the products derived from it; the purpose is to offer an empirical explanation for changes in the crude price charged by the members of OPEC. The model results show that the market-clearing prices reported to prevail for petroleum products on the principal petroleum spot market at Rotterdam are the primary determinants of changes in official crude prices. A systematic relationship between offical and spot prices is argued to have prevailed since 1974. An appendix clarifies five types of data required for the model. 13 references, 4 tables.

  2. Optimal Pricing Policies for Perishable Products

    E-Print Network [OSTI]

    company must spend more money informing its customers of the changes and risks upsetting customers who may expect prices to be reasonably static over.

  3. Summary Statistics Table 1. Crude Oil Prices

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

    Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

  4. Pricing Conspicuous Consumption Products in Recession Periods ...

    E-Print Network [OSTI]

    2012-09-26T23:59:59.000Z

    Conspicuous consumptions products as luxury cars, designer brands, and fancy hotel rooms .... mand D is driven by the brand image and the pricing strategy p.

  5. Single-Product Pricing via Robust Optimization

    E-Print Network [OSTI]

    2006-01-30T23:59:59.000Z

    manufacturing to fashion retail. Applying probabilistic ... In Section 2, we develop the robust pricing model in the presence of additive uncertainty. We analyze.

  6. Residential heating oil price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The

  7. Residential heating oil price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The6,

  8. Residential heating oil price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The6,05,

  9. Residential heating oil price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases

  10. Residential heating oil price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreasesheating

  11. Residential heating oil price decreases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price

  12. Residential heating oil price increases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil price

  13. Residential heating oil price increases

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil price9,

  14. Residential heating oil prices decline

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil price

  15. Residential propane price decreases slightly

    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 ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6, 2014propane price

  16. South Carolina Natural Gas Prices

    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) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,7416.18 5.69 5.07 5.23 4.41 4.02

  17. Gasoline Price Pass-through

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion 5Wellhead PriceB.1.Data Collection

  18. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps Develop Di-JiaDianneDiesel prices

  19. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices continue to

  20. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices continue

  1. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices continueDiesel

  2. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices

  3. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDiesel

  4. Diesel prices continue to decrease

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDieselDiesel

  5. Diesel prices continue to fall

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDiesel prices continue

  6. Diesel prices continue to increase

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDiesel prices

  7. Diesel prices continue to increase

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDiesel pricesDiesel

  8. Diesel prices continue to increase

    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 to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDieselDiesel prices

  9. Diesel prices continue to increase

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continue to increase

  10. Diesel prices continue to increase

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continue to

  11. Diesel prices continue to rise

    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 to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continue

  12. Diesel prices remain fairly stable

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDiesel pricesDiesel

  13. Diesel prices see slight drop

    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 to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDieselDiesel prices see

  14. Diesel prices up this week

    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 to UserProduct: CrudeOfficeNERSCDiesel prices top $4 per gallon The

  15. Gasoline prices decrease (long version)

    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 2,328 2,683DieselValues shown for(long24,5, 2014 Gasoline prices

  16. Gasoline prices decrease (short version)

    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 2,328 2,683DieselValues shown for(long24,5, 2014Gasoline prices

  17. Prices

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

    94.2 89.0 81.6 75.6 84.7 103.4 101.5 95.7 84.9 - 90.7 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline...

  18. Prices

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

    74.2 67.4 60.1 55.9 62.4 84.5 82.2 74.2 62.7 - 68.9 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline...

  19. Prices

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

    63.0 58.0 50.7 47.4 53.6 73.5 71.8 64.8 55.2 - 60.8 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline...

  20. Prices

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

    105.1 96.8 85.5 74.5 87.9 117.2 114.6 104.5 91.4 - 97.7 See footnotes at end of table. 56 Energy Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline...

  1. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption

  2. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.3 49.3

  3. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.3

  4. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data 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,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.368.7

  5. An empirical investigation of the price linkages between wholesale beef and slaughter cattle prices

    E-Print Network [OSTI]

    Owen, Cynthia Jane

    1987-01-01T23:59:59.000Z

    AN EMPIRICAL INVESTIGATION OF THE PRICE LINKAGES BETWEEN WHOLESALE BEEF AND SLAUGHTER CATTLE PRICES. A Thesis by CYNTHIA jANE OWEN Submitted to the Graduate College of Texas ASM University in partial fulfilment of the requirements... ~) Roy F. Gilbert ~) I. (Head of Departmen ) May 1987 ABSTRACT An Empirical Investigation of The Price Linkages Between Wholesale Beef and Slaughter Cattle Prices, (May 1987) Cynthia Jane Owen, B. S. . Univeristy of Guelph Chair of Advisory...

  6. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2002 Project Team Faculty: Gregory Hager, Computer Science, Whiting School of Engineering Fellow: Alan Chen, Biomedical Engineering, Whiting School of Engineering Project Title Robotics is complicated, time-consuming, and costly, making a robot for an introductory-level class is not practical

  7. Project Proposal Project Logistics

    E-Print Network [OSTI]

    Hall, Mary W.

    Project Proposal · Project Logistics: ­ 2-3 person teams ­ Significant implementation, worth 55 and anticipated cost of copying to/from host memory. IV. Intellectual Challenges - Generally, what makes this computation worthy of a project? - Point to any difficulties you anticipate at present in achieving high

  8. Project Year Project Title

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    operators, matrix indexing, vector computations, loops, functions, and plotting graphs, among others basic arithmetic operators, matrix indexing, and vector computations in MATLAB. After creatingProject Year 2011-2012 Project Title Online Tutorial for MATLAB Project Team Eileen Haase, Whiting

  9. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2005 Project Team Krysia Hudson, Faculty, School of Nursing, Undergraduate Instruction for Educational Resources Project Title Enhanced Web-based Learning Environments for Beginning Nursing Students (e.g., demonstrations of procedures or tasks) into the WBL systems, it will be possible to increase

  10. Project Year Project Team

    E-Print Network [OSTI]

    Gray, Jeffrey J.

    Project Year 2002 Project Team Faculty: Michael McCloskey, Cognitive Science/Neuroscience, Krieger of Arts & Sciences Project Title Cognitive Neuropsychology Audience The initial audience to access. The current procedure calls for individual students or researchers to contact the faculty member

  11. Customer response to day-ahead wholesale market electricity prices: Case study of RTP program experience in New York

    SciTech Connect (OSTI)

    Goldman, C.; Hopper, N.; Sezgen, O.; Moezzi, M.; Bharvirkar, R.; Neenan, B.; Boisvert, R.; Cappers, P.; Pratt, D.

    2004-07-01T23:59:59.000Z

    There is growing interest in policies, programs and tariffs that encourage customer loads to provide demand response (DR) to help discipline wholesale electricity markets. Proposals at the retail level range from eliminating fixed rate tariffs as the default service for some or all customer groups to reinstituting utility-sponsored load management programs with market-based inducements to curtail. Alternative rate designs include time-of-use (TOU), day-ahead real-time pricing (RTP), critical peak pricing, and even pricing usage at real-time market balancing prices. Some Independent System Operators (ISOs) have implemented their own DR programs whereby load curtailment capabilities are treated as a system resource and are paid an equivalent value. The resulting load reductions from these tariffs and programs provide a variety of benefits, including limiting the ability of suppliers to increase spot and long-term market-clearing prices above competitive levels (Neenan et al., 2002; Boren stein, 2002; Ruff, 2002). Unfortunately, there is little information in the public domain to characterize and quantify how customers actually respond to these alternative dynamic pricing schemes. A few empirical studies of large customer RTP response have shown modest results for most customers, with a few very price-responsive customers providing most of the aggregate response (Herriges et al., 1993; Schwarz et al., 2002). However, these studies examined response to voluntary, two-part RTP programs implemented by utilities in states without retail competition.1 Furthermore, the researchers had limited information on customer characteristics so they were unable to identify the drivers to price response. In the absence of a compelling characterization of why customers join RTP programs and how they respond to prices, many initiatives to modernize retail electricity rates seem to be stymied.

  12. Killing Two Birds with One Stone: Can Real-Time Pricing SupportRetail Competition and Demand Response?

    SciTech Connect (OSTI)

    Barbose, Galen; Bharvirkar, Ranjit; Goldman, Charles; Hopper,Nicole; Neenan, Bernie

    2006-04-25T23:59:59.000Z

    As retail choice states reach the end of their transitional, rate-cap periods, state regulators must decide what type of default supply service to provide to customers that have not switched to a competitive retail supplier. In a growing number of states, regulators have adopted real-time pricing (RTP) as the default service for large commercial and industrial (C&I) customers. Although this trend is driven chiefly by policy objectives related to retail competition, default service RTP may have the added benefit of stimulating demand response. To evaluate the potential role of RTP as a means to both ends--retail market development and demand response--we conducted a comprehensive review of experience with default RTP in the U.S. and examined the emergence of RTP as a product offering by competitive retail suppliers. Across the ten utilities with default RTP in place in 2005, between 5% and 35% of the applicable load remained on the rate. Based on interviews with competitive retailers, we find evidence to suggest that a comparable amount of load in these states has switched to hourly pricing arrangements with competitive retailers. Many customers on default or competitive hourly pricing are paying prices indexed to the real-time spot market, and thus have no advance knowledge of prices. Because the price responsiveness of customers under these conditions has yet to be formally analyzed, and relatively few efforts have been undertaken to help these customers become price responsive, the actual demand response impacts from hourly pricing in retail choice states remains largely an open question. However, we find that policymakers and other stakeholders in retail choice states have various strategies at their disposal to capture the potential demand response benefits from hourly pricing, while simultaneously supporting retail competition.

  13. HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS

    E-Print Network [OSTI]

    the dynamic variation in wholesale energy costs. This can be accomplished by letting retail prices varyHOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS Ahmad Faruqui and Sanem Sergici1 November 13, 2008 Since the energy crisis disrupted markets

  14. myPower Pricing Pilot Final Findings myPower Pricing Pilot Segments

    E-Print Network [OSTI]

    Understand how price signals can influence customers' energy usage patterns. Test customers' reaction that transferred energy pricing and interval consumption data to and from the customer's meter. To try multiple-way communications to transfer energy pricing and interval consumption data and allowed PSE&G to test customer

  15. Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices

    E-Print Network [OSTI]

    Tunçel, Levent

    Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices R. Shioda L. Tun for pricing a product line with several customer segments under the assumption that customers' product choices utility model and formulate it as a mixed-integer programming problem, design heuristics and valid cuts

  16. A comparison of option prices under different pricing measures in a stochastic volatility model

    E-Print Network [OSTI]

    Howison, Sam

    A comparison of option prices under different pricing measures in a stochastic volatility model with correlation Vicky Henderson Princeton University David Hobson § University of Bath Sam Howison ¶ University option prices in an incomplete stochastic volatility model with correlation. In a general setting, we

  17. PHOENIX NATURAL GAS LIMITED PRICE DETERMINATION REFERENCE Disclosures of interest

    E-Print Network [OSTI]

    Richard Taylor

    2012-01-01T23:59:59.000Z

    Member disclosures Martin Cave (Group Chairman) is a joint academic director of a Brussels-based think tank on regulation called CERRE (www.cerre.eu). This has occupied about ten days per year, mostly attending seminars in Brussels with regulators and regulatees. Another joint academic director is Prof C Waddams. They have not collaborated on any research projects, but he has chaired a panel which she was on. He has co-written a general book, or textbook, on regulation, which includes chapters on price control. The index lists three brief references to energy regulation: Baldwin, Cave &

  18. CO? price impact on Dell's supply chain : a framework for carbon footprint economic analysis

    E-Print Network [OSTI]

    Colón-Jiménez, Ely X

    2010-01-01T23:59:59.000Z

    The principal scope of this project is to design, analyze and report a case study of how to effectively account for the highly likely scenario of a CO2 price policy (cap-and-trade or tax) with regard to Dell's product and ...

  19. THESIS FOR THE DEGREE OF LICENTIATE OF PHILOSOPHY On the Pricing of

    E-Print Network [OSTI]

    Patriksson, Michael

    THESIS FOR THE DEGREE OF LICENTIATE OF PHILOSOPHY On the Pricing of Barrier Options and Related This licentiate thesis started out as a project together with Front Capital Systems AB. I am very grateful to Anna #12; About ECMI This licentiate thesis was written to conclude a øve semester ECMI (Euro­ pean

  20. Some Simple Analytics of Peak-Load Pricing

    E-Print Network [OSTI]

    Bergstrom, Ted; Mackie-Mason, Jeffrey K.

    1991-01-01T23:59:59.000Z

    the introduction o f time-of-use pricing, the questions weResponse in Time- of-Use Electricity Pricing Experiments."time of use are homothetic and identical, moving from uniform pricing

  1. Some Simple Analytics of Peak-Load Pricing

    E-Print Network [OSTI]

    Bergstrom, Ted; MacKie-Mason, Jeffrey

    1991-01-01T23:59:59.000Z

    the introduction of time-of-use pricing, the questions weResponse in Time- of-Use Electricity Pricing Experiments."time of use are homothetic and identical, moving from uniform pricing

  2. The impact of fuel price volatility on transportation mode choice

    E-Print Network [OSTI]

    Kim, Eun Hie

    2009-01-01T23:59:59.000Z

    In recent years, the price of oil has driven large fluctuations in the price of diesel fuel, which is an important cost component in freight logistics. This thesis explores the impact of fuel price volatility on supply ...

  3. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

  4. Public Comment re Price-Anderson Act | Department of Energy

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

    Public Comment re Price-Anderson Act Public Comment re Price-Anderson Act Department of Energy (DOE) Price-Anderson Act Comments from White Pine County, Nevada. The views of many...

  5. Public Comment re Price-Anderson Act | Department of Energy

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

    Comment re Price-Anderson Act Public Comment re Price-Anderson Act Comments for modification of the Price-Anderson Act Notice of Inquiry(NOI) by the Board of Mineral County...

  6. Public comment re Price-Anderson Act | Department of Energy

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

    re Price-Anderson Act Public comment re Price-Anderson Act Comments on Notice of Inquiry Concerning Preparation of Report to Congress on the Price-Anderson Act. TRW Environmental...

  7. Competition and price discrimination in the market for mailing lists

    E-Print Network [OSTI]

    Borzekowski, Ron; Thomadsen, Raphael; Taragin, Charles

    2009-01-01T23:59:59.000Z

    Katz, M. L. (1984). Price discrimination and monopolistic395–416. Shepard, A. (1991). Price discrimination and retailJ. (1952). The theory of price. New York: Macmillan. Stole,

  8. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

  9. Fact #744: September 10, 2012 Average New Light Vehicle Price...

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

    Light Vehicle Price In 2011 the average used light vehicle price was 36% higher than in 1990, while the average new light vehicle price was 67% higher than it was in 1990. The...

  10. Demand and Price Volatility: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    per capita terms. When crude oil prices are used, these aredriven by the world crude oil price rather than by exchange-uctuations in the crude oil price. The overall mean real

  11. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    per capita terms. When crude oil prices are used, these areby ‡uctuations in the crude oil price. The overall mean realcandidates are the crude oil price and the tax level. Both

  12. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    Sup) # Sup Squared Crude Oil Price Constant Years of Datafactors using the price of crude oil (Cushings, O K ) . AsN and N-squared. The price of crude oil is a significant and

  13. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    an overall scheme of crude oil price regulation that met thebegan increasing crude oil prices in 1973 but the incomeselling price minus the average costs of crude oil and

  14. Revisiting the Income Effect: Gasoline Prices and Grocery Purchases

    E-Print Network [OSTI]

    Gicheva, Dora; Hastings, Justine; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    Gasoline and Crude Oil Prices, 2000-2006 Figure I:Weekly Gasoline and Crude Oil Prices for 2001- 2006 Crudeargue that increases in oil prices may lead to recessions

  15. Natural gas pricing in the Northeastern U.S.

    E-Print Network [OSTI]

    Gunnarshaug, Jasmin

    1998-01-01T23:59:59.000Z

    This paper examines natural gas pricing at five citygate locations in the northeastern United States using daily and weekly price series for the years 1994-97. In particular, the effects of the natural gas price at Henry ...

  16. The Weak Tie Between Natural Gas and Oil Prices

    E-Print Network [OSTI]

    Ramberg, David J.

    Several recent studies establish that crude oil and natural gas prices are cointegrated, so that changes in the price of oil appear to translate into changes in the price of natural gas. Yet at times in the past, and very ...

  17. The Role of Demand Response in Default Service Pricing

    E-Print Network [OSTI]

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-01-01T23:59:59.000Z

    and Pennsylvania use the PJM real-time spot market price tosince the hourly real-time PJM prices are not known untilfive minutes. The hourly PJM price is a weighted average of

  18. Advance Booking Programs for Managing Supply, Demand, and Price Risks

    E-Print Network [OSTI]

    Cho, S.-H.; Tang, C. S.

    2010-01-01T23:59:59.000Z

    the manufacturer sets his wholesale price and the retailerto Yadav (2009), the wholesale price for pre-book orderscan be lower but the wholesale price for regular orders can

  19. Demand and Price Uncertainty: Rational Habits in International Gasoline Demand

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are theprices are driven by oil prices, moreover, and oil isby ‡uctuations in the crude oil price. The overall mean real

  20. On Accurate Trinomial GARCH Option Pricing

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    On Accurate Trinomial GARCH Option Pricing Algorithms Advisor: Prof. Yuh-Dauh Lyuu Chun-Yang Liu Department of Computer Science and Information Engineering National Taiwan University #12;Abstract The GARCH-based GARCH option pricing algorithms suffer from exponential running time, inaccuracy, or other problems