Sample records for future electricity price

  1. Futures pricing in electricity markets based on stable CARMA spot models

    E-Print Network [OSTI]

    Gerkmann, Ralf

    Futures pricing in electricity markets based on stable CARMA spot models Gernot M¨uller Vortrag im years, electricity markets throughout the world have undergone massive changes due to deregulations risk but also against price movements. Consequently, statistical modeling and estimation of electricity

  2. 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 ...

  3. Renewable Electricity Futures Study

    E-Print Network [OSTI]

    Renewable Electricity Futures Study Exploration of High-Penetration Renewable Electricity Futures PDF Volume 4 PDF #12;Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Citations Renewable Electricity Futures Study (Entire Report) National Renewable Energy Laboratory. (2012

  4. Renewable Electricity Futures Study

    E-Print Network [OSTI]

    Renewable Electricity Futures Study End-use Electricity Demand Volume 3 of 4 Volume 2 PDF Volume 3;Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U Sandor, D. National Renewable Energy Laboratory Suggested Citations Renewable Electricity Futures Study

  5. Renewable Electricity Futures Study

    E-Print Network [OSTI]

    Renewable Electricity Futures Study Bulk Electric Power Systems: Operations and Transmission by the Alliance for Sustainable Energy, LLC. #12;Renewable Electricity Futures Study Edited By Hand, M.M. National Suggested Citations Renewable Electricity Futures Study (Entire Report) National Renewable Energy Laboratory

  6. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M. M.

    2012-09-01T23:59:59.000Z

    This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

  7. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-10-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

  8. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-11-01T23:59:59.000Z

    This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

  9. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2013-04-01T23:59:59.000Z

    This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

  10. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01T23:59:59.000Z

    Electric rate design relies on cost incurrance for pricing and pricing structures. However, as utilities move into a marketing mode, rate design needs to respond more to customer reactions to pricing changes. Intraclass price elasticities aid rate...

  11. Renewable Electricity Futures Study

    E-Print Network [OSTI]

    Renewable Electricity Futures Study Executive Summary NREL is a national laboratory of the U for Sustainable Energy, LLC. Volume 2 PDF Volume 3 PDF Volume 1 PDF Volume 4 PDF #12;Renewable Electricity Futures. National Renewable Energy Laboratory Suggested Citations Renewable Electricity Futures Study (Entire Report

  12. Primer on electricity futures and other derivatives

    SciTech Connect (OSTI)

    Stoft, S.; Belden, T.; Goldman, C.; Pickle, S.

    1998-01-01T23:59:59.000Z

    Increased competition in bulk power and retail electricity markets is likely to lower electricity prices, but will also result in greater price volatility as the industry moves away from administratively determined, cost-based rates and encourages market-driven prices. Price volatility introduces new risks for generators, consumers, and marketers. Electricity futures and other derivatives can help each of these market participants manage, or hedge, price risks in a competitive electricity market. Futures contracts are legally binding and negotiable contracts that call for the future delivery of a commodity. In most cases, physical delivery does not take place, and the futures contract is closed by buying or selling a futures contract on or near the delivery date. Other electric rate derivatives include options, price swaps, basis swaps, and forward contracts. This report is intended as a primer for public utility commissioners and their staff on futures and other financial instruments used to manage price risks. The report also explores some of the difficult choices facing regulators as they attempt to develop policies in this area.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    to electricity generators to the same price projections fromPrices Delivered to Electricity Generators, Nominal $/MMBtu Each AEO projection

  14. 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

    to electricity generators to the same price projections fromPrices Delivered to Electricity Generators, Nominal $/MMBtu Each AEO projection

  15. 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

  16. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-08-01T23:59:59.000Z

    This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented in a Power Systems Engineering Research Center webinar on September 4, 2012.

  17. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M.; Mai, T.

    2012-08-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented in an Union of Concerned Scientists webinar on June 12, 2012.

  18. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-08-01T23:59:59.000Z

    This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. This presentation was presented in a Wind Powering America webinar on August 15, 2012 and is now available through the Wind Powering America website.

  19. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M.

    2012-10-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It is being presented at the Utility Variable-Generation Integration Group Fall Technical Workshop on October 24, 2012.

  20. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M. M.

    2012-08-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented in a webinar given by the California Energy Commission.

  1. Wholesale Electricity PriceWholesale Electricity Price and Retail Requirements,and Retail Requirements,

    E-Print Network [OSTI]

    Requirements, and Natural Gas Priceand Natural Gas Price ForecastsForecasts Michael Schilmoeller Power Natural gas price #12;Page 2 3 Current Electricity Price ForecastCurrent Electricity Price Forecast recent electricity requirements forecast Most recent (11/28/2008) natural gas price forecast

  2. 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...

  3. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M. M.

    2012-08-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented to the 2012 Western Conference of Public Service Commissioners, during their June, 2012, meeting. The Western Conference of Public Service Commissioners is a regional association within the National Association of Regulatory Utility Commissioners (NARUC).

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    gas price forecasts with contemporaneous natural gas pricesreference-case natural gas price forecast, and that have notof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    gas price forecasts with contemporaneous natural gas pricesreference-case natural gas price forecast, and that have notof AEO 2008 Natural Gas Price Forecast to NYMEX Futures

  6. 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

    the base-case natural gas price forecast, but to alsogas price forecasts with contemporaneous natural gas pricesof AEO 2010 Natural Gas Price Forecast to NYMEX Futures

  7. 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

  8. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    DeMeo, E.

    2012-08-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented at Wind Powering America States Summit. The Summit, which follows the American Wind Energy Association's (AWEA's) annual WINDPOWER Conference and Exhibition, provides state Wind Working Groups, state energy officials, U.S. Energy Department and national laboratory representatives, and professional and institutional partners an opportunity to review successes, opportunities, and challenges for wind energy and plan future collaboration.

  9. 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

  10. ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS

    E-Print Network [OSTI]

    1 ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS BY JOSEPH MULHOLLAND temperature superconductors (HTS) may impact the national electrical system over the next 25 years dollars. However, the savings from superconductivity are offset somewhat by the high cost of manufacturing

  11. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-08-01T23:59:59.000Z

    This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented at the 2012 RE AMP Annual Meeting. RE-AMP is an active network of 144 nonprofits and foundations across eight Midwestern states working on climate change and energy policy with the goal of reducing global warming pollution economy-wide 80% by 2050.

  12. Electricity Forward Prices: A High-Frequency Empirical Analysis

    E-Print Network [OSTI]

    Longstaff, Francis; Wang, Ashley

    2002-01-01T23:59:59.000Z

    and Optimal Hedging in Electricity Forward Markets. JournalP. 2002. Modelling Electricity Prices: Interna- tionalPricing and Risk Managing Electricity Derivatives. The U.S.

  13. ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis

    E-Print Network [OSTI]

    Longstaff, Francis A; Wang, Ashley

    2002-01-01T23:59:59.000Z

    and Optimal Hedging in Electricity Forward Markets. JournalP. 2002. Modelling Electricity Prices: Interna- tionalPricing and Risk Managing Electricity Derivatives. The U.S.

  14. Oil futures prices in a production economy with investment constraints

    E-Print Network [OSTI]

    Kogan, Leonid

    2008-01-01T23:59:59.000Z

    We document a new stylized fact regarding the term structure of futures volatility. We show that the relationship between the volatility of futures prices and the slope of the term structure of prices is non-monotone and ...

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

    Energy Savers [EERE]

    Information Resources Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial to Solar PV in New York City? Solar Real-Time Pricing: Is Real-Time Electricity...

  16. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

    to time-of-day electricity pricing: first empirical results.S. The trouble with electricity markets: understandingresidential peak-load electricity rate structures. Journal

  17. Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power

    E-Print Network [OSTI]

    Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price as traded on the wholesale, short-term (spot) market at the Mid-Columbia trading hub. This price represents noted. BASE CASE FORECAST The base case wholesale electricity price forecast uses the Council's medium

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

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

    Fact 766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices All energy prices vary from month to month and year to year. However, when comparing the...

  19. 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

  20. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat, Department the price of wholesale electricity soared to an unprecedented level of $7,500 per MwH (see [14-order threshold autoregressive model (TAR(1)) for wholesale electricity prices. (For discussion of TAR models, see

  1. Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa

    E-Print Network [OSTI]

    Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

  2. 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)

  3. The Information in Option Volume for Future Stock Prices

    E-Print Network [OSTI]

    Gabrieli, John

    that option trading volume contains information about future stock prices. Taking advantage of a unique dataThe Information in Option Volume for Future Stock Prices Jun Pan MIT Sloan School of Management set, we construct put-call ratios from option volume initiated by buyers to open new positions. Stocks

  4. 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.

  5. 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

  6. Technique for estimating jet fuel prices from energy futures market

    SciTech Connect (OSTI)

    Vineyard, T.A.

    1988-05-01T23:59:59.000Z

    This report presents a statistical analysis of future prices of petroleum products for use in predicting the monthly average retail price of kerosene-type jet fuel. The method of least squares was employed to examine the relationship between kerosene-type jet fuel retail prices and energy futures prices. Regression equations were constructed for four of the petroleum commodities traded on the energy futures market: heating oil No. 2, leaded regular gasoline, crude oil, and unleaded gasoline. Thirty-nine regression equations were estimated by the method of least squares to relate the cash price of kerosene-type jet fuel to the futures prices of the above four petroleum commodities for contract periods of 1 to 12 months. The analysis revealed that 19 of the 39 first-order linear regression equations provided a good fit to the data. Specifically, heating oil No. 2 performed better than the order energy futures in predicting the price of kerosene-type jet fuel. The only information required to use these regression equations are energy futures prices which are available daily from the Wall Street Journal. 5 refs., 4 tabs.

  7. Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions

    E-Print Network [OSTI]

    Darghouth, Naim

    2014-01-01T23:59:59.000Z

    efficiency of real-time electricity pricing. Energy JournalTime-varying retail electricity prices: Theory and practice.Electricity Deregulation: Choices and Challenges.

  8. Competitive Charging Station Pricing for Plug-in Electric Vehicles

    E-Print Network [OSTI]

    Huang, Jianwei

    . To overcome this challenge, we develop a low-complexity algorithm that efficiently computes the pricingCompetitive Charging Station Pricing for Plug-in Electric Vehicles Wei Yuan, Member, IEEE, Jianwei considers the problem of charging station pricing and station selection of plug-in electric vehicles (PEVs

  9. Managing electricity reliability risk through the futures markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2000-10-01T23:59:59.000Z

    In competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, often cease to exist. Typically, the burden falls to an independent system operator (ISO) to insure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, we model a spot market for electricity and futures markets for both electricity and AS. By assuming that each participant seeks to maximize its expected utility of wealth and that all markets clear, we solve for the optional quantities of electricity and AS traded in each market by all participants, as well as the corresponding market-clearing prices. We show that future prices for both electricity and AS depend on expectations of the spot price, statistical aspects of system demand, and production cost parameters. More important, our model captures the fact that electricity and AS are substitute products for the generators, implying that anticipated changes in the spot market will affect the equilibrium futures positions of both electricity and AS. We apply our model to the California electricity and AS markets to test its viability.

  10. Gold Bullion International The Price and Future of Gold

    E-Print Network [OSTI]

    Aronov, Boris

    of the first metals to be discovered by man · Gold was discovered in Ancient times and used by the ancient© Gold Bullion International The Price and Future of Gold November 2010 #12;© Gold Bullion an important part of a diversified portfolio because its price increases in response to events that cause

  11. Price-elastic demand in deregulated electricity markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2003-05-01T23:59:59.000Z

    The degree to which any deregulated market functions efficiently often depends on the ability of market agents to respond quickly to fluctuating conditions. Many restructured electricity markets, however, experience high prices caused by supply shortages and little demand-side response. We examine the implications for market operations when a risk-averse retailer's end-use consumers are allowed to perceive real-time variations in the electricity spot price. Using a market-equilibrium model, we find that price elasticity both increases the retailers revenue risk exposure and decreases the spot price. Since the latter induces the retailer to reduce forward electricity purchases, while the former has the opposite effect, the overall impact of price responsive demand on the relative magnitudes of its risk exposure and end-user price elasticity. Nevertheless, price elasticity decreases cumulative electricity consumption. By extending the analysis to allow for early settlement of demand, we find that forward stage end-user price responsiveness decreases the electricity forward price relative to the case with price-elastic demand only in real time. Moreover, we find that only if forward stage end-user demand is price elastic will the equilibrium electricity forward price be reduced.

  12. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    3. Price Variations of Wholesale Electricity Markets for NYC4. Price Variations of Wholesale Electricity Markets for NYCDemand in New York Wholesale Electricity Market using

  13. Optimization Online - Convex Hull Pricing in Electricity Markets ...

    E-Print Network [OSTI]

    Dane Schiro

    2015-03-19T23:59:59.000Z

    Mar 19, 2015 ... Convex Hull Pricing in Electricity Markets: Formulation, Analysis, and Implementation Challenges. Dane Schiro (dschiro ***at*** iso-ne.com)

  14. Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price Forecast

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix D: Wholesale Electricity Price.................................................................................................................................. 27 INTRODUCTION The Council prepares and periodically updates a 20-year forecast of wholesale to forecast wholesale power prices. AURORAxmp® provides the ability to inco

  15. Presentation to EAC: Renewable Electricity Futures Activities...

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

    Presentation to the Electricity Advisory Committee, October 29, 2010, on Renewable Electricity Futures Activities & Status. The presentation provides a high-level overview of the...

  16. Dynamic pricing for residential electric customers: a ratepayer advocate's perspective

    SciTech Connect (OSTI)

    Brand, Stefanie A.

    2010-07-15T23:59:59.000Z

    New Jersey's Rate Counsel urges that the consideration of alternative pricing mechanisms aimed at encouraging a reduction or shift in residential electricity usage include recognition of the needs and wishes of consumers. Without consumer buy-in, any such pricing mechanisms will fail. To achieve the desired goals, customers must be able to understand and react to the pricing signals. (author)

  17. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    due dates · Location of event points ­ At demand points ­ At some energy pricing/availability levels periods with same energy pricing/power level · Only valid for single stage plants November 11, 2009 EnergyOptimal Scheduling under Variable Electricity Pricing and Availability Pedro M. Castro Iiro

  18. 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

  19. 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.

  20. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat Carnegie of wholesale electricity soared to an unprecedented $7,500 per megawatt-hour (MwH) (see FERC, 1998). Models

  1. Analysis on various pricing scenarios in a deregulated electricity market 

    E-Print Network [OSTI]

    Afanador Delgado, Catalina

    2006-10-30T23:59:59.000Z

    The electricity pricing structure in Texas has changed after deregulation (January 2002). The Energy Systems Laboratory has served as a technical consultant on electricity purchases to several universities in the Texas A&M University System since...

  2. Analysis on various pricing scenarios in a deregulated electricity market

    E-Print Network [OSTI]

    Afanador Delgado, Catalina

    2006-10-30T23:59:59.000Z

    The electricity pricing structure in Texas has changed after deregulation (January 2002). The Energy Systems Laboratory has served as a technical consultant on electricity purchases to several universities in the Texas A&M University System since...

  3. Properties of Electricity Prices and the Drivers of Interconnector Revenue

    E-Print Network [OSTI]

    Parail, Vladimir

    of generation technology and the relationship between the prices of alternative fuels are other such factors. If coal becomes prohibitively expensive relative to gas and it is possible to satisfy all demand using gas fired generation, above a certain price... threshold, the relationship between the price of electricity and the price of coal would be non- existent. However, if there is no spare capacity in the system, expensive coal would always be the marginal generation technology. In that case, coal...

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

    E-Print Network [OSTI]

    b School of Electrical Engineering, Phillips Hall, Cornell University, Ithaca, NY 14853, USA cA uniform price auction with locational price adjustments for competitive electricity markets of Agricultural, Resource and Managerial Economics (ARME), Warren Hall, Cornell University, Ithaca, NY 14853, USA

  5. Forecasting Model for Crude Oil Price Using Artificial Neural Networks and Commodity Futures Prices

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01T23:59:59.000Z

    This paper presents a model based on multilayer feedforward neural network to forecast crude oil spot price direction in the short-term, up to three days ahead. A great deal of attention was paid on finding the optimal ANN model structure. In addition, several methods of data pre-processing were tested. Our approach is to create a benchmark based on lagged value of pre-processed spot price, then add pre-processed futures prices for 1, 2, 3,and four months to maturity, one by one and also altogether. The results on the benchmark suggest that a dynamic model of 13 lags is the optimal to forecast spot price direction for the short-term. Further, the forecast accuracy of the direction of the market was 78%, 66%, and 53% for one, two, and three days in future conclusively. For all the experiments, that include futures data as an input, the results show that on the short-term, futures prices do hold new information on the spot price direction. The results obtained will generate comprehensive understanding of the cr...

  6. Price distortions in the commodity futures markets

    E-Print Network [OSTI]

    Helfrich, Devin B

    2012-01-01T23:59:59.000Z

    Speculation is not monolithic; it comes in many forms. A certain level of speculation is required for commodity futures markets to function. On the other hand, certain types of trading activities by speculators may damage ...

  7. The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates and Retail Electricity Tariffs in Australia.1

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates that the introduction of a carbon price signal will have on wholesale electricity prices, carbon-pass-through rates is used to determine optimal dispatch of generation plant and wholesale prices within the ANEM model. We

  8. 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.

  9. 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.

  10. Renewable Electricity Futures Study. Executive Summary

    SciTech Connect (OSTI)

    Mai, T.; Sandor, D.; Wiser, R.; Schneider, T.

    2012-12-01T23:59:59.000Z

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  11. 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.

  12. EFFICIENT PRICING IN ELECTRICITY MARKETS: WHO IS ON REAL-TIME PRICING

    E-Print Network [OSTI]

    Fontana, Michelle

    2011-08-08T23:59:59.000Z

    When prices are set properly, they serve as important signals to guide customers to consume the efficient quantity of a good. However, in electricity markets many consumers do not pay prices that reflect the scarcity of power. The true social cost...

  13. ,"New Mexico Natural Gas Price Sold to Electric Power Consumers...

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

    ,,"(202) 586-8800",,,"3292015 10:05:26 PM" "Back to Contents","Data 1: New Mexico Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

  14. The Role of Electricity Pricing Policy in Industrial Siting Decisions

    E-Print Network [OSTI]

    Tam, C. S.

    1981-01-01T23:59:59.000Z

    policy of electricity plays a significant role in the siting decisions of energy intensive industries, it is therefore imperative for the policy makers to understand the long term impact of their policies. This paper will examine the current pricing...

  15. ,"New York Natural Gas Price Sold to Electric Power Consumers...

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

    ,,"(202) 586-8800",,,"2262015 9:13:19 AM" "Back to Contents","Data 1: New York Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

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

    E-Print Network [OSTI]

    2004-01-01T23:59:59.000Z

    Response to Day-ahead Wholesale Market Electricity Prices:Response to Day-ahead Wholesale Market Electricity Prices:Mitigating Price Spikes in Wholesale Markets through Market-

  17. Multi-objective Optimization for Pricing System Security in Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    marginal prices throughout the system. Keywords--Electricity markets, locational marginal prices, maximum1 Multi-objective Optimization for Pricing System Security in Electricity Markets Federico Milano while yielding better market conditions through increased transaction levels and improved locational

  18. A Quantitative Analysis of Pricing Behavior In California's Wholesale Electricity Market During Summer 2000

    E-Print Network [OSTI]

    Joskow, Paul; Kahn, Edward

    2004-06-16T23:59:59.000Z

    A Quantitative Analysis of Pricing Behavior In California's Wholesale Electricity Market During Summer 2000...

  19. IEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling by Manifold

    E-Print Network [OSTI]

    markets. Index Terms-- Electricity spot price, locational marginal price, electricity forward curveIEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling and prediction of electricity price curves by applying the manifold learning methodology. Cluster analysis based

  20. IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 877 Electricity Price Curve Modeling

    E-Print Network [OSTI]

    Huo, Xiaoming

    --Electricity forward curve, electricity spot price, forecasting, locational marginal price, manifold learning. IIEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 23, NO. 3, AUGUST 2008 877 Electricity Price Curve approach for the modeling and analysis of electricity price curves by ap- plying the manifold learning

  1. 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.

  2. Renewable Electricity Futures for the United States

    SciTech Connect (OSTI)

    Mai, Trieu; Hand, Maureen; Baldwin, Sam F.; Wiser , Ryan; Brinkman, G.; Denholm, Paul; Arent, Doug; Porro, Gian; Sandor, Debra; Hostick, Donna J.; Milligan, Michael; DeMeo, Ed; Bazilian, Morgan

    2014-04-14T23:59:59.000Z

    This paper highlights the key results from the Renewable Electricity (RE) Futures Study. It is a detailed consideration of renewable electricity in the United States. The paper focuses on technical issues related to the operability of the U. S. electricity grid and provides initial answers to important questions about the integration of high penetrations of renewable electricity technologies from a national perspective. The results indicate that the future U. S. electricity system that is largely powered by renewable sources is possible and the further work is warranted to investigate this clean generation pathway. The central conclusion of the analysis is that renewable electricity generation from technologies that are commercially available today, in combination with a more flexible electric system, is more than adequate to supply 80% of the total U. S. electricity generation in 2050 while meeting electricity demand on an hourly basis in every region of the United States.

  3. 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

    Gas Price Forecast W ith natural gas prices significantlyof AEO 2006 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

  4. 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

    Natural Gas Price Forecast Although natural gas prices areof AEO 2007 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

  5. Modifications to incorporate competitive electricity prices in the annual energy outlook 1998 - electricity market module

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

    The purpose of this report is to describe modifications to the Electricity Market Module (EMM) for the Annual Energy Outlook 1998. It describes revisions necessary to derive competitive electricity prices and the corresponding reserve margins.

  6. 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.

  7. A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ

    E-Print Network [OSTI]

    Carmona, Rene

    A STRUCTURAL MODEL FOR ELECTRICITY PRICES RENE CARMONA, MICHAEL COULON, AND DANIEL SCHWARZ Abstract pricing in electricity markets, thus extending the growing branch of liter- ature which describes power prices for electricity. We capture both the heavy-tailed nature of spot prices and the complex dependence

  8. Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions

    SciTech Connect (OSTI)

    Darghouth, Naim; Barbose, Galen; Wiser, Ryan

    2013-01-09T23:59:59.000Z

    This scoping study investigates the impact of, and interactions among, three key sources of uncertainty in the future value of bill savings from customer-sited PV, focusing in particular on residential customers. These three sources of uncertainty are: changes to electricity market conditions that would affect retail electricity prices, changes to the types of retail rate structures available to residential customers with PV, and shifts away from standard net-metering toward other compensation mechanisms for residential PV. We investigate the impact of a range of electricity market scenarios on retail electricity prices and rate structures, and the resulting effects on the value of bill savings from PV. The scenarios include various levels of renewable and solar energy deployment, high and low natural gas prices, the possible introduction of carbon pricing, and greater or lesser reliance on utility-scale storage and demand response. We examine the bill savings from PV with time-invariant, flat residential retail rates, as well as with time-varying retail rates, including time-of-use (TOU) rates and real-time pricing (RTP). In addition, we explore a flat rate with increasing-block pricing (IBP). We evaluate the bill savings from PV with net metering, as currently allowed in many states, as well as scenarios with hourly netting, a partial form of net metering. This scoping study is the first known effort to evaluate these types of interactions in a reasonably comprehensive fashion, though by no means have we considered every possible change to electricity market conditions, retail rate structures, or PV compensation mechanisms. It focuses solely on the private value of bill savings for residential PV and does not seek to quantify the broader social or economic cost or value of solar electricity. Our analysis applies assumptions based loosely on California’s electricity market in a future year (2030); however, it is neither intended to forecast California’s future market, nor are our conclusions intended to have implications specific only to the California market. That said, some of the findings are unique to our underlying assumptions, as described further within the main body of the report, along with other key limitations.

  9. Renewable Electricity Futures Study. Volume 1: Exploration of High-Penetration Renewable Electricity Futures

    SciTech Connect (OSTI)

    Mai, T.; Wiser, R.; Sandor, D.; Brinkman, G.; Heath, G.; Denholm, P.; Hostick, D.J.; Darghouth, N.; Schlosser, A.; Strzepek, K.

    2012-06-01T23:59:59.000Z

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  10. 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

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someprices and the AEO gas price projections over the past two

  11. 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

    This study proposes two methods, (1) a probabilistic method based on historical oil prices and (2) a method based on Gaussian simulation, to model future prices of oil. With these methods to model future oil prices, we can calculate the ranges...

  12. Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast

    E-Print Network [OSTI]

    ............................................................................................................................... 12 Oil Price Forecast Range. The price of crude oil was $25 a barrel in January of 2000. In July 2008 it averaged $127, even approachingSixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction

  13. Concept for Management of the Future Electricity System (Smart...

    Open Energy Info (EERE)

    Management of the Future Electricity System (Smart Grid Project) Jump to: navigation, search Project Name Concept for Management of the Future Electricity System Country Denmark...

  14. The Pricing of Electricity to Aluminum Smelters in the Northwest

    E-Print Network [OSTI]

    Foley, T. J.

    rate for electricity recogniZing the alternative value of electricity in other markets. The alternative revenue Bonneville could receive for this power on a nonfirm baSIS is estimated to be 13.8 mills/kWh in the peflod March through July and 18..." THE PRICING OF ELECTRICITY,TO ALUMINUM SMELTERS IN THE NORTHWEST Thomas J. Foley Northwest Power Planning Counc'l Portland, Oregon The Bonneville Power Administration IS a federal agency marketing electriC power in the Pacific Northwest...

  15. 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

    Gas Price Forecast With natural gas prices significantlyto the EIA’s natural gas price forecasts in AEO 2004 and AEOon the AEO 2005 natural gas price forecasts will likely once

  16. Electricity pricing for conservation and load shifting

    SciTech Connect (OSTI)

    Orans, Ren; Woo, C.K.; Horii, Brian; Chait, Michele; DeBenedictis, Andrew

    2010-04-15T23:59:59.000Z

    The electricity industry is facing the challenge of increasing costs of reliably meeting demand growth and fully complying with legislative renewable portfolio standards and greenhouse gas reduction targets. However, an electric utility's existing tariffs often don't have rates that increase with consumption volume or vary by time of use, thus not fully exploiting the potential benefits from customer conservation and load shifting. (author)

  17. Addressing the Level of Florida's Electricity Prices Theodore Kury1

    E-Print Network [OSTI]

    Jawitz, James W.

    such transactions occur; · Florida, compared to other states in the region, relies greatly on natural gas which has Utility Research Center Department of Economics University of Florida September 28, 2011 ratepayers; · Electric utilities also buy on the spot market and prices can fluctuate quickly when

  18. Pricing and Firm Conduct in California's Deregulated Electricity Market

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-080 Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy. University of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www

  19. Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with

    E-Print Network [OSTI]

    Bhatia, Sangeeta

    Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex for Information and Decision Systems, Massachusetts Institute of Technology, Cambridge, MA, USA {mardavij, mdrine loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based

  20. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01T23:59:59.000Z

    In this paper we investigate predictability of electricity prices in the Canadian provinces of Alberta and Ontario, as well as in the US Mid-C market. Using scale-dependent detrended fluctuation analysis, spectral analysis, and the probability distribution analysis we show that the studied markets exhibit strongly anti-persistent properties suggesting that their dynamics can be predicted based on historic price records across the range of time scales from one hour to one month. For both Canadian markets, the price movements reveal three types of correlated behavior which can be used for forecasting. The discovered scenarios remain the same on different time scales up to one month as well as for on- and off- peak electricity data. These scenarios represent sharp increases of prices and are not present in the Mid-C market due to its lower volatility. We argue that extreme price movements in this market should follow the same tendency as the more volatile Canadian markets. The estimated values of the Pareto indi...

  1. Electricity prices in a competitive environment: Marginal cost pricing of generation services and financial status of electric utilities. A preliminary analysis through 2015

    SciTech Connect (OSTI)

    NONE

    1997-08-01T23:59:59.000Z

    The emergence of competitive markets for electricity generation services is changing the way that electricity is and will be priced in the United States. This report presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated {open_quotes}cost-of-service{close_quotes} pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity patterns, production costs, and the financial integrity of electricity suppliers? This study is not intended to be a cost-benefit analysis of wholesale or retail competition, nor does this report include an analysis of the macroeconomic impacts of competitive electricity prices.

  2. IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price

    E-Print Network [OSTI]

    Cańizares, Claudio A.

    IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors to forecast electricity market prices and improve forecast accuracy. However, no studies have been reported, the application of electricity market price forecasts to short-term operation scheduling of two typical

  3. Forecasting electricity spot market prices with a k-factor GIGARCH process.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Forecasting electricity spot market prices with a k-factor GIGARCH process. Abdou Kâ Diongue this method to the German electricity price market for the period August 15, 2000 - De- cember 31, 2002 and we, Pelacchi and Venturini (2002) investigate several markets. In addition, electricity spot prices exhibit

  4. 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

    Figure 2 for 5-year price projections), the EIA has, in AEOgenerators to the same price projections from AEO 2001-2006.Strip to AEO 2007 Gas Price Projection Picking the Correct

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    market-based forward price projections argues for furtherAEO 2008 and NYMEX price projections. Nominal ˘/kWh (at 7000that exceed the AEO price projection) described above. If

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    range of different plausible price projections, using eitherreference-case fuel price projection from the EIA or someHenry Hub to the same price projections from AEO 2007-2008.

  7. 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

  8. 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

  9. 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

  10. 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

  11. 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

  12. SOLAR ENERGY AND OUR ELECTRICITY FUTURE

    E-Print Network [OSTI]

    SOLAR ENERGY AND OUR ELECTRICITY FUTURE Sandia is a multiprogram laboratory operated by Sandia;Outline of Today's Discussion Background Solar Cells and the Photoelectric Effect From Cells to PV Systems Modeling PV Performance Concentrating Solar Power (CSP) Some things not addressed in this presentation

  13. On the Stochastic Properties of Carbon Futures Prices Julien Chevallier

    E-Print Network [OSTI]

    , in the wider context of the European Union Emissions Trading Scheme (EU ETS) and the price formation

  14. A Study of Pricing for Cloud Resources Department of Electrical and Computer

    E-Print Network [OSTI]

    Li, Baochun

    A Study of Pricing for Cloud Resources Hong Xu Department of Electrical and Computer Engineering University of Toronto bli@eecg.toronto.edu ABSTRACT We present a study of pricing cloud resources of various applications and usage pricing of cloud computing. We show that a uniform price does not suffer

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

    E-Print Network [OSTI]

    because natural gas fired electric generating plants are on the margin much of the time in Western marketsBiennial 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

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

    E-Print Network [OSTI]

    2004-01-01T23:59:59.000Z

    of Residential Response in Time of Use Pricing Experiments”An Application to Time-of-Use Electricity Pricing” The RandAcross Time-of-Use Electricity Pricing Experiments”

  17. Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic

    E-Print Network [OSTI]

    Obradovic, Zoran

    tested by attempting to capture relationships between present and past share prices using simpleTime Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box the predictability of electricity price under new market regulations and the engineering aspects of large scale

  18. Utility-Aware Deferred Load Balancing in the Cloud Driven by Dynamic Pricing of Electricity

    E-Print Network [OSTI]

    Gupta, Rajesh

    in energy prices along with the rise of cloud computing brings up the issue of making clouds energy. In this paper, we use deferral with dynamic pricing of electricity for energy efficiency while using utilityUtility-Aware Deferred Load Balancing in the Cloud Driven by Dynamic Pricing of Electricity

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

    E-Print Network [OSTI]

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 9, 2009 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [10] for an introduction). Thus, modelling jointly the evolution of gas

  20. Dynamic pricing and stabilization of supply and demand in modern electric power grids

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a mechanism for real-time pricing of electricity in smart power grids, with price stability as the primary concern. In previous publications the authors argued that relaying the real-time wholesale market ...

  1. Gas production response to price signals: Implications for electric power generators

    SciTech Connect (OSTI)

    Ferrell, M.L.

    1995-12-31T23:59:59.000Z

    Natural gas production response to price signals is outlined. The following topics are discussed: Structural changes in the U.S. gas exploration and production industry, industry outlook, industry response to price signals, and implications for electric power generators.

  2. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15T23:59:59.000Z

    An effort to determine the effect of restructuring on prices finds that, on average, prices for industrial customers in restructured states were lower, relative to predicted prices, than prices for industrial customers in non-restructured states. This preliminary analysis also finds that these price changes are explained primarily by high pre-restructuring prices, not whether or not a state restructured. (author)

  3. Deregulating Residential Electricity Markets: What's on Offer? Catherine Waddams Price1

    E-Print Network [OSTI]

    Feigon, Brooke

    Deregulating Residential Electricity Markets: What's on Offer? Catherine Waddams Price1 ESRC Centre on Electricity Pricing, 16 August 2007 1. Introduction The Australian Energy Markets Commission is considering the development of the gas and electricity markets in Victoria, and in particular the role of the safety net

  4. Historical Costs of Coal-Fired Electricity and Implications for the Future James McNerney,a,b

    E-Print Network [OSTI]

    Historical Costs of Coal-Fired Electricity and Implications for the Future James Mc, Cambridge, MA 02139-4307, USA Abstract We study the costs of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation costs, energy

  5. A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based on Continuous Time Lattices

    E-Print Network [OSTI]

    Albanese, Claudio

    A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based.tompaidis@mccombs.utexas.edu Corresponding author. Tel. 512-4715252, Fax 512-4710587. #12;A Numerical Method for Pricing Electricity method for pricing derivatives on electricity prices. The method is based on approximating the generator

  6. Term Structure of Commodities Futures. Forecasting and Pricing. Marcos Escobar, Nicols Hernndez, Luis Seco

    E-Print Network [OSTI]

    Seco, Luis A.

    1 Term Structure of Commodities Futures. Forecasting and Pricing. Marcos Escobar, Nicolás Hernández that often exhibit sudden changes from backwardation into contango (such as energy, agricultural products generation purposes. It also provides the "risk neutral" processes needed for derivatives pricing, answering

  7. Past, present and future evolution of oil prices

    E-Print Network [OSTI]

    Corsetti, Manuel

    2010-01-01T23:59:59.000Z

    This thesis reviews how oil price has evolved throughout time since it was discovered and commercially exploited in 1859 in Pennsylvania. Rather than a pure economic study, this thesis illustrates how major historic and ...

  8. A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES

    E-Print Network [OSTI]

    Carmona, Rene

    the relationship between prices and underlying drivers more easily than in most other marketsA SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES RENE CARMONA AND MICHAEL and the methods which have been proposed to handle them in spot and forward price models. We devote special

  9. Pricing of Fluctuations in Electricity Markets John N. Tsitsiklis and Yunjian Xu

    E-Print Network [OSTI]

    Tsitsiklis, John

    generation may result in (i) higher energy costs due 1 #12;Tsitsiklis and Xu: Pricing of Fluctuations, and lowering volatility in wholesale prices (US Department of Energy 2006, Spees and Lave 2008, Chao 2010Pricing of Fluctuations in Electricity Markets John N. Tsitsiklis and Yunjian Xu Laboratory

  10. Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging

    E-Print Network [OSTI]

    Giannakis, Georgios

    owners may also benefit from lower energy cost in the face of spiking gasoline prices. Although1 Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging Nasim Yahya Soltani price intelligently for individual customers to elicit desirable load curves. In this context

  11. Power Systems Engineering Research Center Renewable Electricity Futures

    E-Print Network [OSTI]

    Van Veen, Barry D.

    Power Systems Engineering Research Center Renewable Electricity Futures Trieu Mai Electricity of the extent to which renewable energy supply can meet the electricity demands of the contiguous United States renewable electricity generation levels: from 30% up to 90% (focusing on 80%) of all U.S. electricity

  12. The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future

    E-Print Network [OSTI]

    Weinert, Jonathan X.

    2007-01-01T23:59:59.000Z

    households and the share spent on transportation both rose considerably. E2W prices decreased, gasoline prices rose and electricity

  13. ,"New Jersey Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7, 2008"PricePrice Sold to Electric

  14. 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

  15. Forecasting the conditional volatility of oil spot and futures prices with structural breaks and long memory models

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Forecasting the conditional volatility of oil spot and futures prices with structural breaks of oil spot and futures prices using three GARCH-type models, i.e., linear GARCH, GARCH with structural that oil price fluctuations influence economic activity and financial sector (e.g., Jones and Kaul, 1996

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    the Energy Information Administration’s (EIA) web site. Wein the past, compared the EIA’s reference-case long-termfuel price projection from the EIA or some other long-term

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    the Energy Information Administration’s (EIA) web site. Wein the past, compared the EIA’s reference-case long-termfuel price projection from the EIA or some other long-term

  18. 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

    the Energy Information Administration’s (EIA) web site. Wein the past, compared the EIA’s reference-case long-termfuel price projection from the EIA or some other long-term

  19. 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

    the Energy Information Administration’s (EIA) web site. Wein the past, compared the EIA’s reference case long-termgas price forecasts from the EIA. As such, we have concluded

  20. THE IMPACT OF SUBSIDY MECHANISMS ON BIOMASS AND OIL SHALE BASED ELECTRICITY COST PRICES

    E-Print Network [OSTI]

    E. Latőšov; A. Volkova; A. Siirde

    This paper provides electricity cost price estimates for biomass-based CHP plants and oil shale power plants to be constructed before 2013 and 2015 that can serve as references for more detailed case-specific studies. Calcula-tion results give electricity costs prices under different CO2 quota

  1. Multi-product pricing for electric Shmuel S. Oren, Stephen A. Smith and Robert B. Wilson

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Multi-product pricing for electric power Shmuel S. Oren, Stephen A. Smith and Robert B. Wilson Smith is with the Leavey School of Business, Santa Clara University, Santa Clara, CA 95053. Robert Butterworth & Co (Publishers) Ltd #12;Multi-product pricing for electric power: S. S. Oren, S. A. Smith ctnd R

  2. Renewable Electricity Futures: Exploration of Up to 80% Renewable Electricity Penetration in the United States (Presentation)

    SciTech Connect (OSTI)

    Hand, M.; DeMeo, E.; Hostick, D.; Mai, T.; Schlosser, C. A.

    2013-04-01T23:59:59.000Z

    This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

  3. Econometric model and futures markets commodity price forecasting

    E-Print Network [OSTI]

    Just, Richard E.; Rausser, Gordon C.

    1979-01-01T23:59:59.000Z

    Versus CCll1rnercial Econometric M:ldels." Uni- versity ofWorking Paper No. 72 ECONOMETRIC ! 'econometric forecasts with the futures

  4. Convex Hull Pricing in Electricity Markets: Formulation, Analysis ...

    E-Print Network [OSTI]

    Dane Schiro

    2015-05-01T23:59:59.000Z

    May 1, 2015 ... Consequently, each Independent System Operator (ISO) uses ... Mathematically, the ISO pricing methods differ in sometimes subtle but ...

  5. Atmospheric Mercury Deposition Impacts of Future Electric Power Generation

    E-Print Network [OSTI]

    , a number of scenarios for future emissions from coal-fired electricity generation plants in the UnitedAtmospheric Mercury Deposition Impacts of Future Electric Power Generation Mark D. Cohen Physical on 2000 data submitted to Environment Canada's National Pollutant Release Inventory (NPRI). Finally

  6. Application of neural networking in live cattle futures market: an approach to price-forecasting

    E-Print Network [OSTI]

    Chou, Chien-Ju

    1993-01-01T23:59:59.000Z

    APPLICATION OF NEURAL NETWORKING IN LIVE CATTLE FUTURES MARKET: AN APPROACH TO PRICE-FORECASTING A Thesis by CHIEN-JU CHOU Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfilhnent of the requirements... for the degree of MASTER OF SCIENCE August 1993 Major Subject: Animal Science APPLICATION OF NEURAL NETWORKING IN LIVE CATTLE FUTURES MARKET: AN APPROACH TO PRICE-FORECASTING A Thesis by CHIBN-JU CHOU Approved as to style and content by: John P. Walter...

  7. Anti-competitive impacts of secret strategic pricing in the electricity industry

    SciTech Connect (OSTI)

    Shepherd, W.G.

    1997-02-15T23:59:59.000Z

    Strategic price discrimination in the electric power industry is the topic of the article. In particular, long-term and secret price discounts are discussed in terms of their effect on utility competition. It is stated that such discounts may arrest or block movement toward competition, allowing many or most private utilities to remain near monopolies. Regulatory action is identified as a mean to control anti-competitive pricing tactics.

  8. Reduced form electricity spot price modeling with a view towards spike risk

    E-Print Network [OSTI]

    Gerkmann, Ralf

    Reduced form electricity spot price modeling with a view towards spike risk Prof. Dr. Meyer. Februar 2010, 16:15 Uhr Seminarraum, Ludwigstraße 33 I The recent deregulation of electricity markets has led to the creation of energy exchanges, where the electricity is freely traded. We study the most

  9. Pricing and Hedging Electricity Supply Contracts: a Case with Tolling Agreements

    E-Print Network [OSTI]

    Pricing and Hedging Electricity Supply Contracts: a Case with Tolling Agreements Shi-Jie Deng Email Customized electric power contracts catering to specific business and risk management needs have gained increasing popularity among large energy firms in the restructured electricity in- dustry. A tolling

  10. Equity Effects of Increasing-Block Electricity Pricing

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Evidence from Residential Electricity Demand,” Review ofLester D. “The Demand for Electricity: A Survey,” The BellResidential Demand for Electricity under Inverted Block

  11. Real-Time Pricing of Electricity: An Assessment

    E-Print Network [OSTI]

    Baughman, M. L.; Zarnikau, J.

    . This paper reviews one of these new rate design proposals, "spot market" or "real-time" pricing, and discusses some recent implementations in Texas....

  12. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

    L.R. Modeling alternative residential peak-load electricitydemand response to residential critical peak pricing (CPP)analysis of California residential customer response to

  13. Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices

    E-Print Network [OSTI]

    Howison, Sam

    Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices Michael@maths.ox.ac.uk (01865 280613) Sam Howison Oxford-Man Institute, University of Oxford, Blue Boar Court, 9 Alfred Street on stochastic processes for underlying factors (fuel prices, power demand and generation capacity availability

  14. Effect of real-time electricity pricing on renewable generators and system emissions

    E-Print Network [OSTI]

    Connolly, Jeremiah P. (Jeremiah Peter)

    2008-01-01T23:59:59.000Z

    Real-time retail pricing (RTP) of electricity, in which the retail price is allowed to vary with very little time delay in response to changes in the marginal cost of generation, offers expected short-run and long-run ...

  15. 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

  16. Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets

    SciTech Connect (OSTI)

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

    2005-06-30T23:59:59.000Z

    The purpose of this article is to compare the accuracy of forecasts for natural gas prices as reported by the Energy Information Administration's Short-Term Energy Outlook (STEO) and the futures market for the period from 1998 to 2003. The analysis tabulates the existing data and develops a statistical comparison of the error between STEO and U.S. wellhead natural gas prices and between Henry Hub and U.S. wellhead spot prices. The results indicate that, on average, Henry Hub is a better predictor of natural gas prices with an average error of 0.23 and a standard deviation of 1.22 than STEO with an average error of -0.52 and a standard deviation of 1.36. This analysis suggests that as the futures market continues to report longer forward prices (currently out to five years), it may be of interest to economic modelers to compare the accuracy of their models to the futures market. The authors would especially like to thank Doug Hale of the Energy Information Administration for supporting and reviewing this work.

  17. Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

    Options in a Competitive Wholesale Electricity Market,”cases to cover the full wholesale cost of the power. Fromusing three di?erent wholesale price scenarios. The ?rst is

  18. Real-Time Pricing- A Flexible Alternative for Electrical Power Supply

    E-Print Network [OSTI]

    Reynolds, S. D.; Frye, A. O. Jr.

    REAL-TIME PRICING - A FLEXIBLE ALTERNATIVE ..OR ELECTRICAL POWER SUPPLY S. D. REYNOLDS Manager of Industrial Marketing & Services Tennessee Valley Authority Chattanooga, Tennessee ABSTRACT In an increasingly competitive operating... conditions to more tl,an 240 mills per kilo,~atthollr 78 REAL-TIME PRICING A FLEXIBLE ALTERNATIVE rOR ELECTRICAL POWER SUPPLY S. D. REYNOLDS Manager of Industrial Marketing & Services Tennessee Valley Authority Chattanooga, Tennessee ABSTRACT...

  19. Short run effects of a price on carbon dioxide emissions from U.S. electric generators

    SciTech Connect (OSTI)

    Adam Newcomer; Seth A. Blumsack; Jay Apt; Lester B. Lave; M. Granger Morgan [Carnegie Mellon University, Pittsburgh, PA (United States). Carnegie Mellon Electricity Industry Center

    2008-05-01T23:59:59.000Z

    The price of delivered electricity will rise if generators have to pay for carbon dioxide emissions through an implicit or explicit mechanism. There are two main effects that a substantial price on CO{sub 2} emissions would have in the short run (before the generation fleet changes significantly). First, consumers would react to increased price by buying less, described by their price elasticity of demand. Second, a price on CO{sub 2} emissions would change the order in which existing generators are economically dispatched, depending on their carbon dioxide emissions and marginal fuel prices. Both the price increase and dispatch changes depend on the mix of generation technologies and fuels in the region available for dispatch, although the consumer response to higher prices is the dominant effect. We estimate that the instantaneous imposition of a price of $35 per metric ton on CO{sub 2} emissions would lead to a 10% reduction in CO{sub 2} emissions in PJM and MISO at a price elasticity of -0.1. Reductions in ERCOT would be about one-third as large. Thus, a price on CO{sub 2} emissions that has been shown in earlier work to stimulate investment in new generation technology also provides significant CO{sub 2} reductions before new technology is deployed at large scale. 39 refs., 4 figs., 2 tabs.

  20. Renewable Electricity Futures Study. Volume 2: Renewable Electricity Generation and Storage Technologies

    SciTech Connect (OSTI)

    Augustine, C.; Bain, R.; Chapman, J.; Denholm, P.; Drury, E.; Hall, D.G.; Lantz, E.; Margolis, R.; Thresher, R.; Sandor, D.; Bishop, N.A.; Brown, S.R.; Cada, G.F.; Felker, F.

    2012-06-01T23:59:59.000Z

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  1. Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand

    SciTech Connect (OSTI)

    Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

    2012-06-01T23:59:59.000Z

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  2. Renewable Electricity Futures Study. Volume 4: Bulk Electric Power Systems: Operations and Transmission Planning

    SciTech Connect (OSTI)

    Milligan, M.; Ela, E.; Hein, J.; Schneider, T.; Brinkman, G.; Denholm, P.

    2012-06-01T23:59:59.000Z

    The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

  3. Implications of changing natural gas prices in the United States electricity sector for SO and life cycle GHG emissions

    E-Print Network [OSTI]

    Jaramillo, Paulina

    Implications of changing natural gas prices in the United States electricity sector for SO 2 , NO X of changing natural gas prices in the United States electricity sector for SO2, NOX and life cycle GHG to projections of low natural gas prices and increased supply. The trend of increasing natural gas use

  4. Reproduced with permission of the copyright owner. Further reproduction prohibited without permission. Estimating the Volatility of Wholesale Electricity Spot Prices in the US

    E-Print Network [OSTI]

    Marathe, Achla

    permission. Estimating the Volatility of Wholesale Electricity Spot Prices in the US Lester Hadsell; Achla

  5. Linear Clearing Prices in Non-Convex European Day-Ahead Electricity Markets

    E-Print Network [OSTI]

    Martin, Alexander; Pokutta, Sebastian

    2012-01-01T23:59:59.000Z

    The European power grid can be divided into several market areas where the price of electricity is determined in a day-ahead auction. Market participants can provide continuous hourly bid curves and combinatorial bids with associated quantities given the prices. The goal of our auction is to maximize the economic surplus of all participants subject to transmission constraints and the existence of linear prices. In general strict linear prices do not exist in non-convex markets. Therefore we enforce the existence of linear prices where no one incurs a loss and only combinatorial bids might see a not realized gain. The resulting optimization problem is an MPEC that can not be solved efficiently by a standard solver. We present an exact algorithm and a fast heuristic for this type of problem. Both algorithms decompose the MPEC into a master MIP and price subproblems (LPs). The modeling technique and the algorithms are applicable to all MIP based combinatorial auctions.

  6. Understanding Competitive Pricing and Market Power in Wholesale Electricity Markets

    E-Print Network [OSTI]

    Borenstein, Severin

    1999-01-01T23:59:59.000Z

    and Market Power in Wholesale Electricity Markets SeverinM a r k e t Power i n Wholesale Electricity Markets Severinthe competitiveness of the wholesale electricity market i n

  7. Future Competitive Positioning of Electric Utilities and their Customers

    E-Print Network [OSTI]

    Schrock, D.; Parker, G.; Baechler, M.

    This paper addresses the future competitive positioning of electric and gas utilities and their industrial customers. Each must respond to a dramatic reshaping of the utility industry while confronting aggressive environmental pressures and taking...

  8. Electrical ship demand modeling for future generation warships

    E-Print Network [OSTI]

    Sievenpiper, Bartholomew J. (Bartholomew Jay)

    2013-01-01T23:59:59.000Z

    The design of future warships will require increased reliance on accurate prediction of electrical demand as the shipboard consumption continues to rise. Current US Navy policy, codified in design standards, dictates methods ...

  9. The effects of utility DSM programs on electricity costs and prices

    SciTech Connect (OSTI)

    Hirst, E.

    1991-11-01T23:59:59.000Z

    More and more US utilities are running more and larger demand-side management (DSM) programs. Assessing the cost-effectiveness of these programs raises difficult questions for utilities and their regulators. Should these programs aim to minimize the total cost of providing electric-energy services or should they minimize the price of electricity This study offers quantitative estimates on the tradeoffs between total costs and electricity prices. This study uses a dynamic model to assess the effects of energy-efficiency programs on utility revenues, total resource costs, electricity prices, and electricity consumption for the period 1990 to 2010. These DSM programs are assessed under alternative scenarios. In these cases, fossil-fuel prices, load growth, the amount of excess capacity the utility has in 1990, planned retirements of power plants, the financial treatment of DSM programs, and the costs of energy- efficient programs vary. These analyses are conducted for three utilities: a base'' that is typical of US utilities; a surplus'' utility that has excess capacity, few planned retirements, and slow growth in fossil-fuel prices and incomes; and a deficit'' utility that has little excess capacity, many planned retirements, and rapid growth in fossil-fuel prices and incomes. 28 refs.

  10. The effects of utility DSM programs on electricity costs and prices

    SciTech Connect (OSTI)

    Hirst, E.

    1991-11-01T23:59:59.000Z

    More and more US utilities are running more and larger demand-side management (DSM) programs. Assessing the cost-effectiveness of these programs raises difficult questions for utilities and their regulators. Should these programs aim to minimize the total cost of providing electric-energy services or should they minimize the price of electricity? This study offers quantitative estimates on the tradeoffs between total costs and electricity prices. This study uses a dynamic model to assess the effects of energy-efficiency programs on utility revenues, total resource costs, electricity prices, and electricity consumption for the period 1990 to 2010. These DSM programs are assessed under alternative scenarios. In these cases, fossil-fuel prices, load growth, the amount of excess capacity the utility has in 1990, planned retirements of power plants, the financial treatment of DSM programs, and the costs of energy- efficient programs vary. These analyses are conducted for three utilities: a ``base`` that is typical of US utilities; a ``surplus`` utility that has excess capacity, few planned retirements, and slow growth in fossil-fuel prices and incomes; and a ``deficit`` utility that has little excess capacity, many planned retirements, and rapid growth in fossil-fuel prices and incomes. 28 refs.

  11. 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

    is higher than the average cost per-kWh, the question of howcost recovery adders are neglected unless they are speci?ed as a price per kWh

  12. Pricing Carbon for Electricity Generation: National and International Dimensions

    E-Print Network [OSTI]

    Grubb, Michael; Newbery, David

    address instruments for energy efficiency, and for innovation. 2 The social cost of carbon, carbon pricing and power sector mitigation From an economic perspective, the most fundamental single step in climate policy is to establish a price for carbon... . This should be informed by (but is not the same thing as) the social cost of carbon – the present discounted value of the additional social costs (or the marginal social damage) that an extra tonne of carbon released now would impose on the current...

  13. 1Challenge the future Electricity Network of Today

    E-Print Network [OSTI]

    Kuzmanov, Georgi

    materials · Design of HV components and HV asset management · Monitoring and diagnostics for (smart) grid applications · Medium Voltage and Low voltage DC systems · Smart cities and Electric mobility · Optimization / focus (PMVD) CASCADEAMIGO LESKER PROVAC #12;5Challenge the future Intelligent Electrical Power Grids

  14. Can Electricity pricing be a tool for efficient, equitable & sustainable use

    E-Print Network [OSTI]

    Scott, Christopher

    energy requirements in farming different seasons; and q Assess technical losses separately o Therefore2/22/11 1 Can Electricity pricing be a tool for efficient, equitable & sustainable use with Policy San Francisco, California, USA 15-17 June, 2010 Scope of the Presentation o Modes of electricity

  15. Energy Department Releases Updated eGallon Prices as Electric...

    Energy Savers [EERE]

    market continues to grow, electric vehicles will play a key role in our effort to reduce air pollution and slow the effects of climate change." Plug-In Electric Vehicle Sales...

  16. Implications of changing natural gas prices in the United States electricity sector for SO2, NOX and life cycle GHG emissions: Supplementary Information

    E-Print Network [OSTI]

    Jaramillo, Paulina

    % Figure S2. Relationship between regional and U.S. average electricity sector delivered natural gas prices1 Implications of changing natural gas prices in the United States electricity sector for SO2, NOX Griffin, H Scott Matthews Table S1. Base case fuel prices and marginal prices of electricity production

  17. Proc. Bulk Power Systems Dynamics and Control{V, Onomichi, Japan, August 2001. Pricing System Security in Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    the pro- posed techniques. Keywords|Electricity markets, locational marginal prices (LMP), security of the presented techniques, a methodology to deter- mine \

  18. Perspectives on the future of the electric utility industry

    SciTech Connect (OSTI)

    Tonn, B. [Oak Ridge National Lab., TN (United States); Schaffhauser, A. [Tennessee Univ., Knoxville, TN (United States)

    1994-04-01T23:59:59.000Z

    This report offers perspectives on the future of the electric utility industry. These perspectives will be used in further research to assess the prospects for Integrated Resource Planning (IRP). The perspectives are developed first by examining economic, political and regulatory, societal, technological, and environmental trends that are (1) national and global in scope and (2) directly related to the electric utility industry. Major national and global trends include increasing global economic competition, increasing political and ethnic strife, rapidly changing technologies, and increasing worldwide concern about the environment. Major trends in the utility industry include increasing competition in generation; changing patterns of electricity demand; increasing use of information technology to control power systems; and increasing implementation of environmental controls. Ways in which the national and global trends may directly affect the utility industry are also explored. The trends are used to construct three global and national scenarios- ``business as usual,`` ``technotopia future,`` and ``fortress state`` -and three electric utility scenarios- ``frozen in headlights,`` ``megaelectric,`` and ``discomania.`` The scenarios are designed to be thought provoking descriptions of potential futures, not predictions of the future, although three key variables are identified that will have significant impacts on which future evolves-global climate change, utility technologies, and competition. While emphasis needs to be placed on understanding the electric utility scenarios, the interactions between the two sets of scenarios is also of interest.

  19. Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the

    E-Print Network [OSTI]

    Sandiford, Mike

    Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed, the depression in wholesale prices has significant value. c 5 GW of solar generation would have saved $1.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

  20. A Distinctive Energy Policy for Scotland? The Impact of Low Carbon Generation on the Future Price of

    E-Print Network [OSTI]

    Mottram, Nigel

    A Distinctive Energy Policy for Scotland? The Impact of Low Carbon Generation on the Future Price climate change, improved security of supply, affordable energy prices and a stimulus to economic growth of Allander Institute, supported by PricewaterhouseCoopers and published 19th June 2008 explore current energy

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

    E-Print Network [OSTI]

    Herce, Miguel Angel

    2006-01-01T23:59:59.000Z

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

  2. Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    to accurately forecast natural gas prices. Many policyseek alternative methods to forecast natural gas prices. Thethe accuracy of forecasts for natural gas prices as reported

  3. Electricity Prices in Transition (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01T23:59:59.000Z

    The push by some states to restructure electricity markets progressed rapidly throughout the late 1990s. Although the energy crisis in California during 2000 and 2001 slowed the momentum, 19 states and the District of Columbia currently have some form of restructuring in place. In addition, Washington State, which has not restructured its electricity market, allows its largest industrial customers to choose their suppliers.

  4. A model for hedging load and price risk in the Texas electricity market Michael Coulon , Warren B. Powell, Ronnie Sircar

    E-Print Network [OSTI]

    Powell, Warren B.

    to the challenges of electricity price modeling. Given the growth of intermit- tent wind energy in Texas Accepted 20 May 2013 Available online 15 June 2013 JEL classification: C60 C80 G12 G13 Q40 Keywords: Electricity market Structural model Spikes Forward prices Spread options Hedging Energy companies

  5. Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems

    SciTech Connect (OSTI)

    Ong, S.; Campbell, C.; Clark, N.

    2012-12-01T23:59:59.000Z

    To identify the impacts of regional electricity prices and building type on the economics of solar photovoltaic (PV) systems, 207 rate structures across 77 locations and 16 commercial building types were evaluated. Results for expected solar value are reported for each location and building type. Aggregated results are also reported, showing general trends across various impact categories.

  6. Pricing mechanism for real-time balancing in regional electricity markets

    E-Print Network [OSTI]

    de Weerdt, Mathijs

    an econometric analysis of the regulating power market on the Nordic power exchange Nord Pool, and M¨oller et al , Wolfgang Ketter , and John Collins Abstract We consider the problem of designing a pricing mechanism for precisely controlling the real-time balance in electricity markets, where retail brokers aggregate

  7. Integrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems

    E-Print Network [OSTI]

    Sun, Xian-He

    Integrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems Xu Yang, Zhou Zhou, Sean Wallace, Zhiling Lan Illinois Institute of Technology, Chicago, IL, USA {xyang56, zzhou Laboratory, Argonne, IL, USA {wtang, smc, papka}@anl.gov ABSTRACT The research literature to date mainly

  8. Electricity Transmission Pricing: How much does it cost to get it wrong?

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-058 Electricity Transmission Pricing: How much does it cost to get it wrong? Richard Green April 1998 This paper is part of the working papers series of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute, a multicampus research unit

  9. Priority Network Access Pricing for Electric Power Shijie Deng and Shmuel Oren

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-072 Priority Network Access Pricing for Electric Power Shijie Deng and Shmuel Oren February 2000 This paper is part of the working papers series of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute, a multicampus research unit

  10. Minimizing the Operational Cost of Data Centers via Geographical Electricity Price Diversity

    E-Print Network [OSTI]

    Liang, Weifa

    Minimizing the Operational Cost of Data Centers via Geographical Electricity Price Diversity the operational cost of data centers thus has been recognized as a main challenge in cloud computing providers to reduce their operational costs through dynamically allocating user requests to these data

  11. 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

    households face typically higher time of use prices for any electricityelectricity prices in San Diego County are tiered by monthly consumption, with each householdHouseholds may be uncertain about how much electricity the solar panels will generate, the future price of electricity

  12. Future Electricity Supplies MIT ENGINEERING SYSTEMS SYMPOSIUM (31 Mar 04, pg. 1) FUTURE ELECTRICITY SUPPLIES

    E-Print Network [OSTI]

    de Weck, Olivier L.

    and Europe have re- energized the debate over aging electricity and other infrastructures. Whether long cooling water), can also make the power industry more vulnerable, both operationally and fiscally Analysis Group for Regional Electricity Alternatives (AGREA) suggests that the dynamics of power grid

  13. Update On The Wholesale Electricity Price Forecast & Modeling Results

    E-Print Network [OSTI]

    ,877 Replacement #12;CO2 Emission Modeling § The AURORAxmp® electric market model calculates CO2 emission) Assumptions § CO2 emission modeling § Base Case Results § Scenario/Sensitivities § Emission Projections Database ­ eGRID 2012 Year 2009 ­ Emissions, including CO2, are estimated using information from various

  14. 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.

  15. Electric Sales, Revenue, and Average Price 2011 - Energy Information

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOEThe Bonneville Power AdministrationField Campaign:INEAWater Use Goal 4:Administration Electric

  16. 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14TableConferenceInstalled:a. Average Electricity

  17. Table E7. Electric Power Sector Energy Price Estimates, 2012

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Energy I I' a(STEO)U.S. CoalInputsTotal Stocks4. ElectricE4.E5.E6.E7.

  18. An Analysis of Price Volatility in Different Spot Markets for Electricity in the U.S.A.

    E-Print Network [OSTI]

    An Analysis of Price Volatility in Different Spot Markets for Electricity in the U.S.A. by Tim for electricity in the USA vary in fundamental ways. In particular, markets in the East, such as New England, New in the new auction markets for electricity can be described by a stochastic regime-switching model

  19. Irradiation imposed degradation of the mechanical and electrical properties of electrical insulation for future accelerator magnets

    SciTech Connect (OSTI)

    Polinski, J.; Chorowski, M.; Bogdan, P.; Strychalski, M. [Wroclaw University of Technology, Wyb. Wyspianskiego 27, 50-370 Wroclaw (Poland); Rijk, G. de [European Organization for Nuclear Research CERN, 1211 Geneva (Switzerland)

    2014-01-27T23:59:59.000Z

    Future accelerators will make extensive use of superconductors made of Nb{sub 3}Sn, which allows higher magnetic fields than NbTi. However, the wind-and-react technology of Nb{sub 3}Sn superconducting magnet production makes polyimide Kapton® non applicable for the coils' electrical insulation. A Nb{sub 3}Sn technology compatible insulation material should be characterized by high radiation resistivity, good thermal conductivity, and excellent mechanical properties. Candidate materials for the electrical insulation of future accelerator's magnet coils have to be radiation certified with respect to potential degradation of their electrical, thermal, and mechanical properties. This contribution presents procedures and results of tests of the electrical and mechanical properties of DGEBA epoxy + D400 hardener, which is one of the candidates for the electrical insulation of future magnets. Two test sample types have been used to determine the material degradation due to irradiation: a untreated one (unirradiated) and irradiated at 77 K with 11 kGy/min intense, 4MeV energy electrons beam to a total dose of 50 MGy.

  20. Wealth Transfers Among Large Customers from Implementing Real-Time Retail Electricity Pricing

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

    to re?ect changing wholesale prices — removes existingdisproportionately more when wholesale prices are highest.hour-to-hour, re?ecting wholesale price variation. Among

  1. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    zonal day-ahead locational based marginal pricing (DA LBMP),provides zonal Locational Based Marginal Pricing (LBMP) inzonal day-ahead locational based marginal pricing (DA LBMP),

  2. Customer Strategies for Responding to Day-Ahead Market Hourly Electricity Pricing

    E-Print Network [OSTI]

    2005-01-01T23:59:59.000Z

    of Residential Time-of- Use Pricing Experiments”, Journal ofof Residential Response in Time of Use Pricing Experiments”,of Residential Response in Time of Use Pricing Experiments”,

  3. A statistical analysis of the natural gas futures market : the interplay of sentiment, volatility and prices

    E-Print Network [OSTI]

    Fazzio, Thomas J. (Thomas Joseph)

    2010-01-01T23:59:59.000Z

    This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the variables influencing the price and volatility of this energy ...

  4. KEEPING THE FUTURE BRIGHT 2004 Canadian Electricity Human Resource Sector Study

    E-Print Network [OSTI]

    supply 8 Electricity consumption 9 Supply and demand projections 9 Electricity exports and importsKEEPING THE FUTURE BRIGHT 2004 Canadian Electricity Human Resource Sector Study #12;This project Electricity Association The Canadian Electricity Association (CEA), founded in 1891, is the national forum

  5. Deployment of CCS Technologies across the Load Curve for a Competitive Electricity Market as a Function of CO2 Emissions Permit Prices

    SciTech Connect (OSTI)

    Luckow, Patrick; Wise, Marshall A.; Dooley, James J.

    2011-04-18T23:59:59.000Z

    Consistent with other published studies, the modelling presented here reveals that baseload power plants are the first aspects of the electricity sector to decarbonize and are essentially decarbonized once CO2 permit prices exceed a certain threshold ($90/ton CO2 in this study). The decarbonization of baseload electricity is met by significant expansions of nuclear power and renewable energy generation technologies as well as the application of carbon dioxide capture and storage (CCS) technologies applied to both coal and natural gas fired power plants. Relatively little attention has been paid thus far to whether intermediate and peaking units would respond the same way to a climate policy given the very different operational and economic context that these kinds of electricity generation units operate under. In this paper, the authors discuss key aspects of the load segmentation methodology used to imbed a varying electricity demand within the GCAM (a state-of-the-art Integrated Assessment Model) energy and economic modelling framework and present key results on the role CCS technologies could play in decarbonizng subpeak and peak generation (encompassing only the top 10% of the load) and under what conditions. To do this, the authors have modelled two hypothetical climate policies that require 50% and 80% reductions in US emissions from business as usual by the middle of this century. Intermediate electricity generation is virtually decarbonized once carbon prices exceed approximately $150/tonCO2. When CO2 permit prices exceed $160/tonCO2, natural gas power plants with CCS have roughly the same marketshare as conventional gas plants in serving subpeak loads. The penetration of CCS into peak load (upper 6% here) is minimal under the scenarios modeled here suggesting that CO2 emissions from this aspect of the U.S. electricity sector would persist well into the future even with stringent CO2 emission control policies in place.

  6. Energy Policy 32 (2004) 289297 The potential of solar electric power for meeting future US energy

    E-Print Network [OSTI]

    Delaware, University of

    Energy Policy 32 (2004) 289­297 The potential of solar electric power for meeting future US energy needs: a comparison of projections of solar electric energy generation and Arctic National Wildlife of solar electric power in the form of photovoltaics to meet future US energy demand with the projected

  7. 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 ...

  8. 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.

  9. Financial comparison of time-of-use pricing with technical DSM programs and generating plants as electric-utility resource options

    SciTech Connect (OSTI)

    Hill, L.J.

    1994-04-01T23:59:59.000Z

    Changing electricity prices to more closely reflect production costs has a significant impact on the consumption of electricity. It is known, for example, that most of the efficiency gains in the electric power sectors of the industrialized world since the first international oil price shock in 1973 are attributable to the rising trend of electricity prices. This was due to the rising average price of electricity. Because of the unique characteristics of producing electricity, its marginal cost is higher than its average cost during many hours of the day. This study shows that, for utilities not reflecting these cost differences in their rates, there is ample room to satisfy a portion of their resource needs by exploiting the load-shaping properties of time-of-use (TOU) rates. Satisfying a portion of resource requirements by implementing a TOU-pricing program, however, is not costless. Metering and administering TOU pricing requires a financial commitment by an electric utility. And the commitment has an opportunity cost. That is, the funds could be used to construct generating plants or run DSM programs (other than a TOU-pricing program) and satisfy the same resource needs that TOU pricing does. The question addressed in this study is whether a utility is better-served financially by (i) implementing TOU pricing or (ii) running technical DSM programs and building power plants. The answer is that TOU pricing compares favorably on a financial basis with other resources under a wide set of conditions that real-world utilities confront.

  10. Overview of current and future energy storage technologies for electric power applications

    E-Print Network [OSTI]

    Bahrami, Majid

    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1514 3. Battery storage technologiesOverview of current and future energy storage technologies for electric power applications Ioannis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1513 2. Flywheel storage technologies

  11. On the stability of wholesale electricity markets under real-time pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing on the real-time wholesale prices to the end ...

  12. Breakeven Prices for Photovoltaics on Supermarkets in the United States

    SciTech Connect (OSTI)

    Ong, S.; Clark, N.; Denholm, P.; Margolis, R.

    2013-03-01T23:59:59.000Z

    The photovoltaic (PV) breakeven price is the PV system price at which the cost of PV-generated electricity equals the cost of electricity purchased from the grid. This point is also called 'grid parity' and can be expressed as dollars per watt ($/W) of installed PV system capacity. Achieving the PV breakeven price depends on many factors, including the solar resource, local electricity prices, customer load profile, PV incentives, and financing. In the United States, where these factors vary substantially across regions, breakeven prices vary substantially across regions as well. In this study, we estimate current and future breakeven prices for PV systems installed on supermarkets in the United States. We also evaluate key drivers of current and future commercial PV breakeven prices by region. The results suggest that breakeven prices for PV systems installed on supermarkets vary significantly across the United States. Non-technical factors -- including electricity rates, rate structures, incentives, and the availability of system financing -- drive break-even prices more than technical factors like solar resource or system orientation. In 2020 (where we assume higher electricity prices and lower PV incentives), under base-case assumptions, we estimate that about 17% of supermarkets will be in utility territories where breakeven conditions exist at a PV system price of $3/W; this increases to 79% at $1.25/W (the DOE SunShot Initiative's commercial PV price target for 2020). These percentages increase to 26% and 91%, respectively, when rate structures favorable to PV are used.

  13. BulkPower SystemDynamicsandControlIV-Restructuring, August24-28,Santorini,Greece. Priority Network Access Pricing for Electric Power

    E-Print Network [OSTI]

    of the transmission prices is a severe obstacle to e cient bilateral energy trading. see Wu, Varaiya, Spiller and Oren Access Pricing for Electric Power Shijie Deng and Shmuel Oreny Department of Industrial Engineering and Operations Research University of California at Berkeley Berkeley, CA 94720 Abstract We propose a priority-pricing

  14. 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.

  15. Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of

    E-Print Network [OSTI]

    Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of electricity changes over time depending because a schedule without considering variable energy charges might significantly increase

  16. 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

  17. The efficiency of the U.S. cotton futures market (1986-2006): normal backwardation, co-integration, and asset pricing

    E-Print Network [OSTI]

    Chavez, Marissa Joyce

    2009-06-02T23:59:59.000Z

    The efficiency of commodity futures markets is a widely debated topic in academia. The cotton futures market is no exception. The existence of trends in the futures market is characterized as a price bias, which is a testable trait. When analyzed...

  18. Draft Fourth Northwest Conservation and Electric Power Plan, Appendix C FUEL PRICE FORECASTS

    E-Print Network [OSTI]

    . Figure C-1 illustrates this for world oil prices, and similar patterns apply to natural gas. The last. Figure C-1 World Oil Prices Have Been Following the 1991 Plan Low Forecast 0.00 5.00 10.00 15.00 20.00 25 and earlier Council plans, natural gas prices were dependent on the assumptions about world oil prices

  19. Concurrent Optimization of Consumer's Electrical Energy Bill and Producer's Power Generation Cost under a Dynamic Pricing

    E-Print Network [OSTI]

    Pedram, Massoud

    grid technologies. This is a particularly interesting problem with the use of dynamic energy pricing method to solve this problem is dynamic energy pricing [2]-[10]. Dynamic changes in energy prices provide the customers' peak-hour demands. So, dynamic energy pricing can benefit both the consumer and the producer

  20. Forecasting the Standard & Poor's 500 stock index futures price: interest rates, dividend yields, and cointegration

    E-Print Network [OSTI]

    Fritsch, Roger Erwin

    1997-01-01T23:59:59.000Z

    forward price series is constructed using interest rate and dividend yield data. Out-of-sample forecasts from error correction models are compared to those from vector autoregressions (VAR) fit to levels and VARs fit to first differences. This comparison...

  1. Consortium for Electric Reliability Technology Solutions Grid of the Future White Paper on

    E-Print Network [OSTI]

    LBNL-45272 Consortium for Electric Reliability Technology Solutions Grid of the Future White Paper on The Federal Role in Electric System R&D During a Time of Industry Transition: An Application of Scenario Berkeley National Laboratory CERTS Grid of the Future Project Team Carlos Martinez, Edison Technology

  2. Op%mal Scheduling of Combined Heat and Power (CHP) Plants1 under Time-sensi%ve Electricity Prices

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    1 Op%mal Scheduling of Combined Heat and Power (CHP) Plants1 under Time-sensi%ve Electricity Prices Summary In this case study, a CHP plant increases its profit%ons with the power grid 4 Power Grid CHP plant Typically mul%ple boilers and turbines

  3. The marginal costs and pricing of gas system upgrades to accommodate new electric generators

    SciTech Connect (OSTI)

    Ambrose, B.

    1995-12-31T23:59:59.000Z

    In the coming years, competitive forces and restructuring in the electric industry can be expected to increase substantially the demand for gas delivery service to new electric generating units by local distribution companies (LDCs) and pipeline companies across the United States. In meeting this demand, it is important that the prices paid by electric generators for gas delivery service properly reflect the costs of the resources utilized in providing service to them in order that their decisions regarding what to build and where as well as the manner in which their units are dispatched are as efficient as possible from a societal standpoint. This will assure that society`s resources will be neither squandered nor underutilized in providing service to these generators and aid in assuring that, once built, the units are run in an efficient manner. While the most efficient solution to this problem is a secondary market in tradeable pipeline capacity rights, we do not have such a system in place at this time. Further, tradeable rights for LDC capacity may be difficult to establish. An interim solution that will work in the confines of the present system and not create problems for the transition to tradeable rights is required. This purpose of this paper is to set out the important first principals involved in applying marginal costing to the provision of gas delivery service to new electric generating units rather than to present empirical data on the marginal costs of such service. Experience has shown that marginal costs are usually unique to the particular situation being costed.

  4. Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects

    E-Print Network [OSTI]

    Scott, Allen J.

    1993-01-01T23:59:59.000Z

    power plants) that produce the electricity required to recharge EVs, given the fuel generat~tng mix of Southern California,

  5. Variability in Automated Responses of Commercial Buildings and Industrial Facilities to Dynamic Electricity Prices

    SciTech Connect (OSTI)

    Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

    2011-08-16T23:59:59.000Z

    Changes in the electricity consumption of commercial buildings and industrial facilities (C&I facilities) during Demand Response (DR) events are usually estimated using counterfactual baseline models. Model error makes it difficult to precisely quantify these changes in consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. This paper seeks to understand baseline model error and DR variability in C&I facilities facing dynamic electricity prices. Using a regression-based baseline model, we present a method to compute the error associated with estimates of several DR parameters. We also develop a metric to determine how much observed DR variability results from baseline model error rather than real variability in response. We analyze 38 C&I facilities participating in an automated DR program and find that DR parameter errors are large. Though some facilities exhibit real DR variability, most observed variability results from baseline model error. Therefore, facilities with variable DR parameters may actually respond consistently from event to event. Consequently, in DR programs in which repeatability is valued, individual buildings may be performing better than previously thought. In some cases, however, aggregations of C&I facilities exhibit real DR variability, which could create challenges for power system operation.

  6. How and why customers respond to electricity price variability: A study of NYISO and NYSERDA 2002 PRL program performance

    SciTech Connect (OSTI)

    Neenan, Bernie; Pratt, Donna; Cappers, Peter; Doane, James; Anderson, Jeremey; Boisvert, Richard; Goldman, Charles; Sezgen, Osman; Barbose, Galen; Bharvirkar, Ranjit

    2003-01-01T23:59:59.000Z

    This summer was the second year of operation for the New York Independent System Operator's (NYISO) suite of Price Responsive Load (PRL) Programs: the Day-Ahead Demand Response Program (DADRP), the Emergency Demand Response Program (EDRP), and the third year of operation for the Installed Capacity Program/Special Case Resources (ICAP/SCR) program. It also marked the second year that the New York State Energy Research Authority (NYSERDA) provided funding to support participation in these programs. NYISO and NYSERDA commissioned Neenan Associates to conduct a comprehensive evaluation of the performance of these PRL programs, building on methods and protocols developed last year and augmented by significant professional staff resources provided by the Consortium for Electric Reliability Technology Solutions (CERTS) with the U. S. Dept. of Energy (DOE) funding. The PRL program evaluation was undertaken from three perspectives. The first, top-down, perspective looks at the overall impact of PRL programs on New York electricity market prices and system reliability. Quantifying price impacts involves simulating what prices would have been had the curtailments not been undertaken. A supply model developed last year was used to reconstruct this year's market supply curve and estimate the change in hourly prices due to PRL-indiced curtailments. Reliability impacts were estimated by valuing the improvement in the reliability associated with curtailments undertaken through the EDRP and ICAP/SCR programs, which were jointly administered during 2002.

  7. 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

  8. Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions

    E-Print Network [OSTI]

    Darghouth, Naim

    2014-01-01T23:59:59.000Z

    potential future changes. For example, higher penetrations of renewable energypotential future changes. For example, higher penetrations of renewable energy

  9. Electricity Network Investment and Regulation for a Low Carbon Future

    E-Print Network [OSTI]

    Pollitt, Michael G.; Bialek, Janusz

    much does it cost to get it wrong?, CMI Electricity Project Working Paper No.63. Hogan, W.W. (1998), Competitive Electricity Market Design: A Wholesale Primer. John F.Kennedy School of Government, Harvard University, Cambridge, MA. Department... of Trade and Industry (2006) The Energy Challenge. Energy Review Report 2006, CM 6887 London: DTI. Elders, I., Ault, G, Galloway, S., McDonald, J., Kohler, J., Leach, M. and Enteric, L. (2006), ‘Electricity network scenarios for the United Kingdom...

  10. ,"Montana Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  11. ,"Nebraska Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  12. ,"New Hampshire Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7, 2008"Price (Dollars perPrice Sold

  13. Minimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model

    E-Print Network [OSTI]

    Pedram, Massoud

    - Systems {shatami,pedram}@usc.edu Abstract--Dynamic energy pricing is a promising development use at different times during a fixed interval based on dynamic energy prices during that interval-interruptible or interruptible jobs. The methods relay on a quasi-dynamic pricing function for unit of energy consumed, which

  14. Historical Costs of Coal-Fired Electricity and Implications for the Future

    E-Print Network [OSTI]

    McNerney, James; Farmer, J Doyne

    2010-01-01T23:59:59.000Z

    We study the costs of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation costs, energy density, thermal efficiency, plant construction cost, interest rate, and capacity factor. The dominant determinants of costs at present are the price of coal and plant construction cost. The price of coal appears to fluctuate more or less randomly while the construction cost follows long-term trends, decreasing from 1902 - 1970, increasing from 1970 - 1990, and leveling off or decreasing a little since then. This leads us to forecast that even without carbon capture and storage, and even under an optimistic scenario in which construction costs resume their previously decreasing trending behavior, the cost of coal-based electricity will drop for a while but eventually be determined by the price of coal, which varies stochastically but shows no long term decreasing trends. Our analysis emphasizes the importance of using long time series and compari...

  15. ,"Mississippi Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future Production (MillionCrude Oil +Price Sold

  16. ,"Missouri Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  17. Preparing the U.S. Foundation for Future Electric Energy Systems

    E-Print Network [OSTI]

    people doubt that, when they flip the switch, the power will be on. Aging trends in the electricalPreparing the U.S. Foundation for Future Electric Energy Systems: A Strong Power and Energy Engineering Workforce U.S. Power and Energy Engineering Workforce Collaborative Prepared by the Management

  18. ,"New Mexico Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7,DryPlant Liquids, Expected FuturePrice

  19. Houston's Smart Grid: Transforming the Future of Electric Distribution & Energy Consumption 

    E-Print Network [OSTI]

    Bartel, W.

    2012-01-01T23:59:59.000Z

    % saved 52% on event days 13 What?s Next? Smart Meters Were Just The Beginning HAN Devices Smart Appliances Smart Meter Texas Portal Intelligent Grid Phase 1: Customer Insight Smart Meters Storage Electric vehicles Phase 2...: Customer Engagement Micro Grids Aggregated Demand Management Phase 3: Customer Co-Creator of Value 2010 2020 2014 2013 2012 2011 Price control / load control Advanced Grid 14 We can?t do it alone Per the DOE Grant Agreement,: ?If you...

  20. Optimal Bidding Strategy in Electricity Markets Under Uncertain Energy and Reserve Prices

    E-Print Network [OSTI]

    including natural gas, electricity, telecommunications, transportation, and postal services. Fernando

  1. Agricultural commodity price forecasting accuracy: futures markets versus commercial econometric models

    E-Print Network [OSTI]

    Rausser, Gordon C.; Just, Richard E.

    1979-01-01T23:59:59.000Z

    versus commercial econometric models Gordon C. RausserMARKETS VERSUS COM4ERCIAL ECONOMETRIC IDDELS by Gordon C.Futures Markets, snd Econometric Models Deeember, 19'7'6,

  2. Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    Update on Petroleum, Natural Gas, Heating Oil and Gasoline.of the Market for Natural Gas Futures. Energy Journal 16 (Modeling Forum. 2003. Natural Gas, Fuel Diversity and North

  3. 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...

  4. A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu

    E-Print Network [OSTI]

    to natural random variation, temperature effects, natural gas supply effects, or plant stoppages. However of the economics of the California market during the crisis of 2000. They explain market behavior and its prices is built on the basic economic principle that on each day, the price and quantity in a competitive market

  5. The future of electric two-wheelers and electric vehicles in China

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Ogden, Joan M.; Sperling, Dan; Burke, Andy

    2008-01-01T23:59:59.000Z

    SAE Hybrid Vehicle Symposium, San Diego CA, 13–14 February.emissions from a plug-in hybrid vehicle (PHEV) in China has2008. Nissan’s Electric and Hybrid Electric Vehicle Program.

  6. World heavy crude and bitumen riches, 1988: half the world's oil future is mortgaged by low prices

    SciTech Connect (OSTI)

    Not Available

    1988-12-30T23:59:59.000Z

    A cover graph shows a glimpse of the future: the world's next offering to civilization. No one knows how much, and just when, great amounts of heavy crude oil resources will be developed. Even less is speculated about bitumen resources. But speculation is not required to reach the conclusion that non-conventional oil must be developed in the Western Hemisphere -- and soon. Considerable data are presented in this issue to reinforce this conclusion. This issues also contains the following: (1) refining netback data series for the US Gulf and West Coasts, Rotterdam, and Singapore, as of Dec. 9 and Dec. 20, 1988; and (2) ED fuel price/tax series for countries of both the Western and Eastern Hemisphere, Dec. 1988 edition. 9 figures, 11 tables.

  7. The Electricity Transmission System Future Vision & Grid Challenges

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742EnergyOn April 23,EnergyChicopeeTechnology Performance April 7,U.Future Vision & Grid

  8. Price Responsive Demand in New York Wholesale Electricity Market using OpenADR

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    and Demand Response in Electricity Markets." University ofRates and Tariffs /Schedule for Electricity Service, P.S.C.no. 10- Electricity/Rules 24 (Riders)/Leaf No. 177-327."

  9. Abstract--Forecasting of future electricity demand is very important for decision making in power system operation and

    E-Print Network [OSTI]

    Ducatelle, Frederick

    Abstract--Forecasting of future electricity demand is very important for decision making in power industry, accurate forecasting of future electricity demand has become an important research area for secure operation, management of modern power systems and electricity production in the power generation

  10. Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions

    E-Print Network [OSTI]

    Darghouth, Naim

    2014-01-01T23:59:59.000Z

    Rate and Cost Issues with Renewable Development Workshop,and Issues. Interstate Renewable Energy Council, Latham, NY.of Energy Storage with Renewable Electricity Generation (

  11. ,"South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold to Electric Power Consumers (Dollars per

  12. ,"Tennessee Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  13. ,"New York Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  14. The future of electric two-wheelers and electric vehicles in China

    E-Print Network [OSTI]

    Weinert, Jonathan X.; Ogden, Joan M.; Sperling, Dan; Burke, Andy

    2008-01-01T23:59:59.000Z

    2006.Quality of Lead-acid Batteries for Electric-Assistof the lead from lead-acid batteries in China is releaseduse valve-regulated lead-acid (VRLA) batteries, though E2Ws

  15. Preventing Future Blackouts by Means of Enhanced Electric Power Systems Control: From

    E-Print Network [OSTI]

    . The control of modern power systems can be analyzed as having open-loop response components, as wellPreventing Future Blackouts by Means of Enhanced Electric Power Systems Control: From Complexity at various levels of the system. Today's monitoring and control logic is largely effec- tive during normal

  16. Sixth Northwest Conservation & Electric Power Plan Draft Wholesale Power Price Forecasts

    E-Print Network [OSTI]

    Higher Coal Prices Medium Long-term Trend Forecasts for PNW Zones 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 Mexico Arizona Utah Nevada North Alberta Baja California North Nevada South PNW Westside 10 Northwest

  17. An overview of alternative fossil fuel price and carbon regulation scenarios

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2004-01-01T23:59:59.000Z

    historical difficulty in accurately forecasting oil prices.historical difficulty in accurately forecasting future oil prices.

  18. 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.

  19. Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options Neufville Professor of Engineering Systems Chair, ESD Education Committee #12;2 #12;3 Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities By Chia

  20. Electricity prices and power derivatives: Evidence from the Nordic Power Exchange

    E-Print Network [OSTI]

    Lucia, Julio J.; Schwartz, Eduardo

    2000-01-01T23:59:59.000Z

    side of the Nordic electricity system. Power generatingNordic Power Exchange Area), without considering capacity limits (“bottlenecks”) in the grid among countries. A system

  1. Variability in Automated Responses of Commercial Buildings and Industrial Facilities to Dynamic Electricity Prices

    E-Print Network [OSTI]

    Mathieu, Johanna L.

    2012-01-01T23:59:59.000Z

    building control strategies and techniques for demand response,”demand response and energy ef?ciency in commercial buildings,”building electricity use with application to demand response,”

  2. Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff

    E-Print Network [OSTI]

    Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

    2005-01-01T23:59:59.000Z

    Critical Peak Pricing Tariff Karen Herter ab* , Patrickunder critical peak pricing tariffs tested in the 2003-2004The 15-month experimental tariff gave customers a discounted

  3. Evaluation of evolving residential electricity tariffs

    SciTech Connect (OSTI)

    Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

    2011-05-15T23:59:59.000Z

    Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. This poster: examines the history of the residential pricing structure and key milestones; summarizes and analyzes the usage between 2006 and 2009 for different baseline/climate areas; discusses the residential electricity Smart Meter roll out; and compares sample bills for customers in two climates under the current pricing structure and also the future time of use (TOU) structure.

  4. Scope for Future CO2 Emission Reductions from Electricity Generation through the Deployment of Carbon Capture and Storage Technologies

    E-Print Network [OSTI]

    Haszeldine, Stuart

    Scope for Future CO2 Emission Reductions from Electricity Generation through the Deployment, it is therefore possible that large (~45%) reductions in CO2 emissions from UK electricity generation couldC/year. If required, however, a reduction in CO2 emissions of 15 MtC/year in the electricity generation sector by 2020

  5. Abstract--This paper introduces the fundamental concept of locational marginal price (LMP) in the electricity markets, and

    E-Print Network [OSTI]

    Fu, Yong

    1 Abstract--This paper introduces the fundamental concept of locational marginal price (LMP Terms-- Congestion charge, locational marginal price, LMP difference, nodal price. NOMENCLATURE ba) are to implement the locational marginal pricing [1-3]. Under Standard Market Design (SMD) issued by FERC in July

  6. Mississippi Natural Gas Price Sold to Electric Power Consumers (Dollars per

    Gasoline and Diesel Fuel Update (EIA)

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

  7. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices of0023

  8. Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality", 2013, 2012, 2011, 2010,Jersey"RhodeVirginia"West Average Prices

  9. Georgia Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYear JanPriceIndustrial Consumers

  10. Current Status and Future Assumptions INTRODUCTION

    E-Print Network [OSTI]

    structure, higher electricity prices, and regional and national conservation efforts. 0 5000 10000 15000 of the region's electricity system, some relevant historical trends leading to that status, and the Council's projections of how that status might change in the future. An understanding of our current situation and how

  11. NYMEX Futures Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota PriusNSR KeyNUG NUCLEARNX » NX

  12. The Potential of Energy Management and Control Systems for Real-Time Electricity Pricing Programs 

    E-Print Network [OSTI]

    Akbari, H.; Heinemeier, K. E.

    1990-01-01T23:59:59.000Z

    In implementing an integrated electric utility network, direct communication between the utility and customers is an important component. The rapid penetration of computer building control technology in larger commercial and industrial customers...

  13. A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools

    E-Print Network [OSTI]

    Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

    2009-01-01T23:59:59.000Z

    In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage and demand response, add uncertainties ...

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

    SciTech Connect (OSTI)

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

    1980-05-19T23:59:59.000Z

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

  15. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

    Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Koch, Ed; Hennage, Dan

    2010-08-02T23:59:59.000Z

    This study examines the use of OpenADR communications specification, related data models, technologies, and strategies to send dynamic prices (e.g., real time prices and peak prices) and Time of Use (TOU) rates to commercial and industrial electricity customers. OpenADR v1.0 is a Web services-based flexible, open information model that has been used in California utilities' commercial automated demand response programs since 2007. We find that data models can be used to send real time prices. These same data models can also be used to support peak pricing and TOU rates. We present a data model that can accommodate all three types of rates. For demonstration purposes, the data models were generated from California Independent System Operator's real-time wholesale market prices, and a California utility's dynamic prices and TOU rates. Customers can respond to dynamic prices by either using the actual prices, or prices can be mapped into"operation modes," which can act as inputs to control systems. We present several different methods for mapping actual prices. Some of these methods were implemented in demonstration projects. The study results demonstrate show that OpenADR allows interoperability with existing/future systems/technologies and can be used within related dynamic pricing activities within Smart Grid.

  16. Choosing an electrical energy future for the Pacific Northwest: an Alternative Scenario

    SciTech Connect (OSTI)

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

    1980-08-01T23:59:59.000Z

    An Alternative Scenario for the electric energy future of the Pacific Northwest is presented. The Scenario includes an analysis of each major end use of electricity in the residential, commercial, manufacturing, and agricultural sectors. This approach affords the most direct means of projecting the likely long-term growth in consumption and the opportunities for increasing the efficiency with which electricity is used in each instance. The total demand for electricity by these end uses then provides a basis for determining whether additional central station generation is required to 1995. A projection of total demand for electricity depends on the combination of many independent variables and assumptions. Thus, the approach is a resilient one; no single assumption or set of linked assumptions dominates the analysis. End-use analysis allows policymakers to visualize the benefits of alternative programs, and to make comparison with the findings of other studies. It differs from the traditional load forecasts for the Pacific Northwest, which until recently were based largely on straightforward extrapolations of historical trends in the growth of electrical demand. The Scenario addresses the supply potential of alternative energy sources. Data are compiled for 1975, 1985, and 1995 in each end-use sector.

  17. State energy price system. Volume I: overview and technical documentation

    SciTech Connect (OSTI)

    Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

    1982-06-01T23:59:59.000Z

    This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

  18. Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates?

    E-Print Network [OSTI]

    California at Berkeley. University of

    alternative, purchase from the California Power Exchange (PX) would be mandatory; under the second, each UDC by purchasing electricity for them from the California Power Exchange (PX). Costs of these purchases are simply Regulation (POWER). POWER is a program of the University of California Energy Institute, a multicampus

  19. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

    marginal costs of electricity, average price responseequal to the average cost of electricity under the existingequal to the average cost of electricity under the existing

  20. Mastering Uncertainty and Risk at Multiple Time Scales in the Future Electrical Grid

    SciTech Connect (OSTI)

    Chertkov, Michael [Los Alamos National Laboratory; Bent, Russell W. [Los Alamos National Laboratory; Backhaus, Scott N. [Los Alamos National Laboratory

    2012-07-10T23:59:59.000Z

    Today's electrical grids enjoy a relatively clean separation of spatio-temporal scales yielding a compartmentalization of grid design, optimization, control and risk assessment allowing for the use of conventional mathematical tools within each area. In contrast, the future grid will incorporate time-intermittent renewable generation, operate via faster electrical markets, and tap the latent control capability at finer grid modeling scales; creating a fundamentally new set of couplings across spatiotemporal scales and requiring revolutionary advances in mathematics techniques to bridge these scales. One example is found in decade-scale grid expansion planning in which today's algorithms assume accurate load forecasts and well-controlled generation. Incorporating intermittent renewable generation creates fluctuating network flows at the hourly time scale, inherently linking the ability of a transmission line to deliver electrical power to hourly operational decisions. New operations-based planning algorithms are required, creating new mathematical challenges. Spatio-temporal scales are also crossed when the future grid's minute-scale fluctuations in network flows (due to intermittent generation) create a disordered state upon which second-scale transient grid dynamics propagate effectively invalidating today's on-line dynamic stability analyses. Addressing this challenge requires new on-line algorithms that use large data streams from new grid sensing technologies to physically aggregate across many spatial scales to create responsive, data-driven dynamic models. Here, we sketch the mathematical foundations of these problems and potential solutions.

  1. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01T23:59:59.000Z

    electricity prices and total available re- newable energies (March 21, 2012) in California, USA [electricity prices and total available renew- able energies (March 21, 2012) in California, USA [

  2. Florida Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot) Year Jan Feb MarYearThousand

  3. Georgia Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688Electricity UseFoot) YearNet WithdrawalsThousand Cubic

  4. Hawaii Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200Decade Year-0Year Jan FebThousand

  5. Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess than 200DecadeCubic1.IV.%Thousand Cubic

  6. Illinois Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLess thanThousand CubicElements)

  7. Indiana Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015Year Jan Feb Mar AprThousand

  8. Iowa Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessApril 2015Year

  9. Kansas Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40Coal Stocks at1,066,688ElectricityLessAprilResidential ConsumersThousand Cubic

  10. An Assessment of the Economics of Future Electric Power Generation Options and the Implications for Fusion

    SciTech Connect (OSTI)

    Delene, J.G.; Hadley, S.; Reid, R.L.; Sheffield, J.; Williams, K.A.

    1999-09-01T23:59:59.000Z

    This study examines the potential range of electric power costs for some major alternatives to fusion electric power generation when it is ultimately deployed in the middle of the 21st century and, thus, offers a perspective on the cost levels that fusion must achieve to be competitive. The alternative technologies include coal burning, coal gasification, natural gas, nuclear fission, and renewable energy. The cost of electricity (COE) from the alternatives to fusion should remain in the 30-50 mils/kWh (1999 dollars) range of today in carbon sequestration is not needed, 30-60 mils/kWh if sequestration is required, or as high as 75 mils/kWh for the worst-case scenario for cost uncertainty. The reference COE range for fusion was estimated at 70-100 nmils/kWh for 1- to 1.3-GW(e) scale power plants. Fusion costs will have to be reduced and/or alternative concepts derived before fusion will be competitive with the alternatives for the future production of electricity. Fortunately, there are routes to achieve this goal.

  11. Texas Natural Gas Price Sold to Electric Power Consumers (Dollars per

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

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

  12. Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01T23:59:59.000Z

    batteries and ultracapacitors for electric vehicles. EVS24Battery, Hybrid and Fuel Cell Electric Vehicle Symposiumpublications on electric and hybrid vehicle technology and

  13. 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)

  14. Abstract--It is expected that a lot of the new light vehicles in the future will be electrical vehicles (EV). The storage capacity of

    E-Print Network [OSTI]

    Mahat, Pukar

    and mitigate its intermittency. However, EV charging may have negative impact on the power grid. This paper adverse effect on the grid. The paper also proposes an alternate EV charging method where distribution into account. Index Terms-- Electrical vehicle, smart charging, spot electricity price. I. INTRODUCTION HE

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

    E-Print Network [OSTI]

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

  16. ,"Texas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ LeasePrice Sold toDryDryDry NaturalCrude Oil +PricePrice

  17. ,"Georgia Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (Dollars per+ Lease,,," "07,PricePrice

  18. ,"Illinois Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  19. ,"North Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  20. First evidence of asymmetric cost pass-through of Eu emissions allowances : examining wholesale electricity prices in Germany

    E-Print Network [OSTI]

    Zachmann, Georg

    2007-01-01T23:59:59.000Z

    This paper applies the literature on asymmetric price transmission to the emerging commodity market for EU emissions allowances (EUA). We utilize an error correction model and an autoregressive distributed lag model to ...

  1. ,"Washington Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  2. ,"Florida Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  3. ,"Indiana Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  4. ,"Iowa Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  5. Practitioner Perspectives Matter: Public Policy and Private Investment in the U.S. Electric Power Sector

    E-Print Network [OSTI]

    Barradale, Merrill Jones

    2010-01-01T23:59:59.000Z

    decision-making. Projections about fuel prices criticallyrange of projections for future prices widened. Significant

  6. Alternative Energy Development and China's Energy Future

    E-Print Network [OSTI]

    Zheng, Nina

    2012-01-01T23:59:59.000Z

    national average biomass electricity price of 0.63 RMB perapproved a new biomass electricity price of 0.75 RMB per kWhbiomass power plants in order to prevent regionalized overinvestment and subsequent inflation of local crop prices.

  7. Hedging Milk with BFP Futures and Options

    E-Print Network [OSTI]

    Anderson, David P.; McCorkle, Dean; Schwart Jr., Robert B.; Jones, Rodney

    1999-06-23T23:59:59.000Z

    Basic Formula Price (BFP) milk futures and options can be used to hedge, or lock in, milk prices in order to manage milk price fluctuations. This publication offers information on futures contracts, basis, cash settlement and margin call. There also...

  8. 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...

  9. PNNL Expert Landis Kannberg Discusses the Electrical Grid of the Future

    SciTech Connect (OSTI)

    Landis Kannberg

    2011-10-11T23:59:59.000Z

    Mechanical Engineer Landis Kannberg discusses how PNNL is improving the nation's electricity infrastructure.

  10. PNNL Expert Landis Kannberg Discusses the Electrical Grid of the Future

    ScienceCinema (OSTI)

    Landis Kannberg

    2013-06-10T23:59:59.000Z

    Mechanical Engineer Landis Kannberg discusses how PNNL is improving the nation's electricity infrastructure.

  11. ,"Wyoming Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  12. ,"Arkansas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  13. ,"Delaware Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;NetPrice (Dollars per Thousand Cubic Feet)"Price Sold to

  14. ,"Hawaii Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  15. ,"Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  16. ,"Kansas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  17. ,"Maine Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  18. ,"Maryland Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  19. ,"Massachusetts Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  20. ,"Minnesota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  1. CSEM WP 113 Using Environmental Emissions Permit Prices to Raise

    E-Print Network [OSTI]

    California at Berkeley. University of

    CSEM WP 113 Using Environmental Emissions Permit Prices to Raise Electricity Prices: Evidence from Emissions Permit Prices to Raise Electricity Prices: Evidence from the California Electricity Market analyzes the extent to which the conditions in the emissions permit market for oxides of nitrogen (NOx

  2. The Market Value and Cost of Solar Photovoltaic Electricity Production

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Renew- ables”, The Electricity Journal, Volume 14 (2001),from Real-Time Retail Electricity Pricing: Bill VolatilityReal- Time Retail Electricity Pricing,” Energy Journal,28(

  3. An integrated electric plant control architecture for future navy surface combatants 

    E-Print Network [OSTI]

    Williams, Stephen Ebert

    1995-01-01T23:59:59.000Z

    The emphasis by the U.S. Navy on the survivability of its warships' electric plants has prompted the investigation into unconventional control and protection systems. Working from a baseline electric plant configuration, the traditional independent...

  4. 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.

  5. ,"West Virginia Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  6. ,"Wisconsin Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  7. ,"Alabama Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit:1996..........RegionTotalPrice (Dollars per

  8. ,"Alaska Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments; Unit:1996..........RegionTotalPriceShareCrudeTotalLNGPrice

  9. ,"Arizona Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources and Shipments;Net Withdrawals (MMcf)"Annual",2013Price

  10. ,"Kentucky Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  11. ,"Michigan Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  12. Future States: The Convergence of Smart Grid, Renewables, Shale Gas, and Electric Vehicles

    ScienceCinema (OSTI)

    Dick Cirillo; Guenter Conzelmann

    2013-06-07T23:59:59.000Z

    Dick Cirillo and Guenter Conzelmann present on research involving renewable energy sources, the use of natural gas, electric vehicles, and the SMART grid.

  13. Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01T23:59:59.000Z

    Capacitors as Energy Storage in Hybrid- Electric Vehicles:uncertainty regarding the energy storage technologies.Whether a particular energy storage technology is suitable

  14. Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01T23:59:59.000Z

    ultracapacitors, fuel cells and hybrid vehicle design. Dr.on electric and hybrid vehicle technology and applicationssupervises testing in the Hybrid Vehicle Propulsion Systems

  15. Future States: The Convergence of Smart Grid, Renewables, Shale Gas, and Electric Vehicles

    SciTech Connect (OSTI)

    Dick Cirillo; Guenter Conzelmann

    2013-03-20T23:59:59.000Z

    Dick Cirillo and Guenter Conzelmann present on research involving renewable energy sources, the use of natural gas, electric vehicles, and the SMART grid.

  16. 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

  17. 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

  18. Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01T23:59:59.000Z

    Power Systems EPCOS EVS24 International Battery, Hybrid and Fuel Cell Electric Vehicleelectric vehicles Type of hybrid System Useable energy Maximum pulse Cycle life driveline voltage storage powerPower Systems Laboratory and performs research and teaches graduate courses on advanced electric driveline technologies, specializing in batteries, ultracapacitors, fuel cells and hybrid vehicle

  19. Accounting for fuel price risk when comparing renewable to gas-fired generation: the role of forward natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-01-01T23:59:59.000Z

    Profiles of Renewable and Natural Gas Electricity Contracts:Price Risk: Using Forward Natural Gas Prices Instead of Gas2001). “Which way the natural gas price: an attempt to

  20. 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 ...

  1. ,"Oklahoma Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  2. ,"Oregon Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  3. ,"Rhode Island Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids,+ Lease Condensate ProvedGas,CanadaLNG Storage NetPrice

  4. ,"Vermont Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural GasU.S.Plantand Wyoming NaturalPrice

  5. ,"California Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  6. ,"Colorado Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  7. ,"Louisiana Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

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

  8. The effect of falling market concentration on prices, generator behaviour and productive efficiency in the England and Wales electricity market

    E-Print Network [OSTI]

    Sweeting, Andrew

    2001-01-01T23:59:59.000Z

    A universal prediction of the various oligopoly models used to predict and explain behaviour in the England and Wales (E&W) electricity wholesale market is that divestiture of plants by the two large incumbent generators ...

  9. Electric Drive Vehicle Infrastructure Deployment

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

    pricing encourages off-peak energy * Smart Grid Integration o Charging stations with Demand Response, Time-of-Use Pricing, and AMI compatible with the modern electric grid *...

  10. California's electricity crisis

    E-Print Network [OSTI]

    Joskow, Paul L.

    2001-01-01T23:59:59.000Z

    The collapse of California's electricity restructuring and competition program has attracted attention around the world. Prices in California's competitive wholesale electricity market increased by 500% between the second ...

  11. The wholesale market for electricity in England and Wales : recent developments and future reforms

    E-Print Network [OSTI]

    Sweeting, Andrew

    2000-01-01T23:59:59.000Z

    The England and Wales wholesale electricity market is about to undergo major reform (NETA). I describe and analyse the proposed arrangements, contrasting them with those currently in operation. I argue that while NETA will ...

  12. An analysis of hybrid-electric vehicles as the car of the future

    E-Print Network [OSTI]

    Kang, Heejay

    2007-01-01T23:59:59.000Z

    This thesis will examine the validity of the benefits of the Hybrid-Electric Vehicle (HEV). With the recent focus on energy initiatives, reflected through Bush's state of the union, as well as President Hockfield's MIT ...

  13. Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01T23:59:59.000Z

    to assist the energy storage battery (12 kWh) in providingbattery and ultracapacitors in the vehicles when the characteristics of the energy storageBattery, Hybrid and Fuel Cell Electric Vehicle Symposium the energy storage

  14. Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01T23:59:59.000Z

    hybrid vehicle applications ultracap energy stored Wh ultracap peak power kW systemhybrid-electric vehicles Type of hybrid System Useable energysystem. In the case of a charge sustaining hybrid, the useable energy

  15. Abstract-Coal and hydro will be the main sources of electric energy in Chile for the near future, given that natural gas

    E-Print Network [OSTI]

    Dixon, Juan

    Abstract- Coal and hydro will be the main sources of electric energy in Chile for the near future and the environmental dilemma faced by the country, where both coal and hydro produce some kind of impact. The role

  16. Natural Gas Futures Prices (NYMEX)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Science (SC)Integrated CodesTransparency VisitSilver Toyota1Resourceloading new table

  17. Natural Gas Futures Prices (NYMEX)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20Year Jan Feb Mar682009 2010

  18. Natural Gas Futures Prices (NYMEX)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20Year Jan Feb Mar682009

  19. Natural Gas Futures Prices (NYMEX)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20Year Jan Feb

  20. Natural Gas Futures Prices (NYMEX)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration22)MayŁ661.Data MonthlyYearJan-15

  1. 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

  2. The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future

    E-Print Network [OSTI]

    Weinert, Jonathan X.

    2007-01-01T23:59:59.000Z

    And Price .86 VRLA 87 xi Lithium-research. Lithium-ion Li-ion battery performance and pricelithium-ion (Li-ion). Advances in VRLA batteries and rising gasoline prices

  3. California's electricity system of the future scenario analysis in support of public-interest transmission system R&D planning

    SciTech Connect (OSTI)

    Eto, Joseph; Stovall, John P.

    2003-04-01T23:59:59.000Z

    The California Energy Commission directed the Consortium for Electric Reliability Technology Solutions to analyze possible future scenarios for the California electricity system and assess transmission research and development (R&D) needs, with special emphasis on prioritizing public-interest R&D needs, using criteria developed by the Energy Commission. The scenarios analyzed in this report are not predictions, nor do they express policy preferences of the project participants or the Energy Commission. The public-interest R&D needs that are identified as a result of the analysis are one input that will be considered by the Energy Commission's Public Interest Energy Research staff in preparing a transmission R&D plan.

  4. 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.

  5. Electricity: The future cannot be predicted - but it can be invented

    SciTech Connect (OSTI)

    Dar, V.K.

    1994-12-01T23:59:59.000Z

    The electric power industry is about to experience another time of epochal change. Whatever structure and rules of the road emerge will be fertile ground for perceptive, market-oriented companies - and a graveyard for many of their competitors. The author presents his views on regulation within the electric industry as is has evolved over the past twenty years, and the role various factions have played in the implementation of these rules. He offers thoughts on how steps toward deregulation have been pursued by some special interests toward the enhancement of their lots in life. He argues that the opportunity is here for the consumer to become a player in the electric industry, but the implementation of this is not a given in the face of so many competing special interest groups.

  6. Addressing an Uncertain Future Using Scenario Analysis

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Marnay, Chris

    2008-01-01T23:59:59.000Z

    a scenario may be an oil price hike in a future year, whichon the impact of high oil prices on the global economy (seethe scenario of a high oil price (of US$35/barrel, which is

  7. 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...

  8. ELECTR-5419; No of Pages 13 Please cite this article in press as: L. de Castro, et al., Product Definition for Future Electricity Supply Auctions: The 2006 Illinois Experience, Electr. J. (2008), doi:10.1016/j.tej.2008.08.008

    E-Print Network [OSTI]

    Gross, George

    2008-01-01T23:59:59.000Z

    ELECTR-5419; No of Pages 13 Please cite this article in press as: L. de Castro, et al., Product be that the product definition is not important. As we will argue here, for the case of electricity supply Definition for Future Electricity Supply Auctions: The 2006 Illinois Experience, Electr. J. (2008), doi:10

  9. The future of GPS-based electric power system measurements, operation and control

    SciTech Connect (OSTI)

    Rizy, D.T. [Oak Ridge National Lab., TN (United States); Wilson, R.E. [Western Area Power Administration, Golden, CO (United States); Martin, K.E.; Litzenberger, W.H. [Bonneville Power Administration, Portland, OR (United States); Hauer, J.F. [Pacific Northwest National Lab., Richland, WA (United States); Overholt, P.N. [Dept. of Energy, Washington, DC (United States); Sobajic, D.J. [Electric Power Research Inst., Palo Alto, CA (United States)

    1998-11-01T23:59:59.000Z

    Much of modern society is powered by inexpensive and reliable electricity delivered by a complex and elaborate electric power network. Electrical utilities are currently using the Global Positioning System-NAVSTAR (GPS) timekeeping to improve the network`s reliability. Currently, GPS synchronizes the clocks on dynamic recorders and aids in post-mortem analysis of network disturbances. Two major projects have demonstrated the use of GPS-synchronized power system measurements. In 1992, the Electric Power Research Institute`s (EPRI) sponsored Phase Measurements Project used a commercially available Phasor Measurements Unit (PMU) to collect GPS-synchronized measurements for analyzing power system problems. In 1995, Bonneville Power Administration (BPA) and Western Area Power Administration (WAPA) under DOE`s and EPRI`s sponsorship launched the Wide Area Measurements (WAMS) project. WAMS demonstrated GPS-synchronized measurements over a large area of their power networks and demonstrated the networking of GPS-based measurement systems in BPA and WAPA. The phasor measurement technology has also been used to conduct dynamic power system tests. During these tests, a large dynamic resistor was inserted to simulate a small power system disturbance.

  10. How Does Electricity Generated from Woody Biomass Fit into California's Energy Future?

    E-Print Network [OSTI]

    Iglesia, Enrique

    & Steam Turbine/ Generator Electricity Reforming/CO2 Separation** Boiler Ash (slag) Gaseous emissions required) Efficiency 17-25% 38-41% Emissions & byproducts SOx, NOx, PM, CO, CO2 SOx, NOx, PM, CO, CO2 Char CO2 emission · 3-8% methane leaks during well operation · 20x worse than CO2 as a greenhouse gas

  11. Introduction Electrical vehicle Problem Combinatorial approach Conclusions and future works A Combinatorial Optimization Approach for

    E-Print Network [OSTI]

    Ingrand, François

    A multi-source system MS contains at least two energy sources. Production source: fuel cells, photovoltaic works Vehicle energy system Production source: fuel cells (FCS), Reversible source: supercapacitors (SC A Combinatorial Optimization Approach for the Electrical Energy Management in a Multi-Source System Yacine Gaoua(1

  12. The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems

    E-Print Network [OSTI]

    Barbose, Galen

    2013-01-01T23:59:59.000Z

    model to project hourly wholesale electricity market pricesSecond, based on the wholesale electricity market pricesthe temporal trends in wholesale market electricity prices.

  13. Published assessments bearing on the future use of ceramic superconductors by the electric power sector

    SciTech Connect (OSTI)

    Giese, R.F.; Wolsky, A.M.

    1992-08-25T23:59:59.000Z

    Much has been written about ceramic superconductors since their discovery in 1986. Most of this writing reports and describes scientific research. However, some authors have sought to put this research in context: to assess where the field stands, what might be technically feasible, what might be economically feasible, and what potential impacts ceramic superconductors will bring to the electric power sector. This report`s purpose is to make the results of already published assessments readily available. To that end, this report lists and provides abstracts for various technical and economic assessments related to applications of High-Temperature Superconductors (HTS) to the electric power sector. Those studies deemed most important are identified and summarized. These assessments were identified by two means. First, members of the Executive Committee identified some reports as worthy of consideration and forwarded them to Argonne National Laboratory. Twelve assessments were selected. Each of these is listed and summarized in the following section. Second, a bibliographic search was performed on five databases: INSPEC, NTIS, COMPENDEX, Energy Science & Technology, and Electric Power Database. The search consisted of first selecting all papers related to High Temperature Superconductors. Then papers related to SMES, cables, generators, motors, fault current limiters, or electric utilities were selected. When suitable variants of the above terms were included, this resulted in a selection of 493 citations. These citations were subjected to review by the authors. A number of citations were determined to be inappropriate (e.g. a number referred to digital transmission lines for electronics and communications applications). The reduced list consisted of 200 entries. Each of these citations, with an abstract, is presented in the following sections.

  14. Published assessments bearing on the future use of ceramic superconductors by the electric power sector

    SciTech Connect (OSTI)

    Giese, R.F.; Wolsky, A.M.

    1992-08-25T23:59:59.000Z

    Much has been written about ceramic superconductors since their discovery in 1986. Most of this writing reports and describes scientific research. However, some authors have sought to put this research in context: to assess where the field stands, what might be technically feasible, what might be economically feasible, and what potential impacts ceramic superconductors will bring to the electric power sector. This report's purpose is to make the results of already published assessments readily available. To that end, this report lists and provides abstracts for various technical and economic assessments related to applications of High-Temperature Superconductors (HTS) to the electric power sector. Those studies deemed most important are identified and summarized. These assessments were identified by two means. First, members of the Executive Committee identified some reports as worthy of consideration and forwarded them to Argonne National Laboratory. Twelve assessments were selected. Each of these is listed and summarized in the following section. Second, a bibliographic search was performed on five databases: INSPEC, NTIS, COMPENDEX, Energy Science Technology, and Electric Power Database. The search consisted of first selecting all papers related to High Temperature Superconductors. Then papers related to SMES, cables, generators, motors, fault current limiters, or electric utilities were selected. When suitable variants of the above terms were included, this resulted in a selection of 493 citations. These citations were subjected to review by the authors. A number of citations were determined to be inappropriate (e.g. a number referred to digital transmission lines for electronics and communications applications). The reduced list consisted of 200 entries. Each of these citations, with an abstract, is presented in the following sections.

  15. 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.

  16. ,"Nevada Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy Sources andPlant Liquids, Expected Future7, 2008" ,"Next Update:LNGPrice

  17. Buying Hedge with Futures

    E-Print Network [OSTI]

    Welch, Mark; Kastens, Terry L.

    2009-01-07T23:59:59.000Z

    Agricultural Economist, Kansas State University Agricultural Experiment Station and Cooperative Extension Service. Many bulk purchasers of agricultural com- modities need price risk management tools to help stabilize input prices. Livestock feeders... anticipating future feed needs or grain export- ers making commitments to sell grain are two users of agricultural commodities who could benefit from input price management strate- gies. A common tool is a buying, or long, hedge using futures. Producers...

  18. Assessment of Future Vehicle Transportation Options and their Impact on the Electric Grid

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

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

  19. Electricity Monthly Update

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

    New England and New York City. In the electricity markets, 12-month lows were set at all pricing points except Louisiana and Northwest. Even more unique is that these low prices...

  20. Predicting Future Hourly Residential Electrical Consumption: A Machine Learning Case Study

    SciTech Connect (OSTI)

    Edwards, Richard E [ORNL; New, Joshua Ryan [ORNL; Parker, Lynne Edwards [ORNL

    2012-01-01T23:59:59.000Z

    Whole building input models for energy simulation programs are frequently created in order to evaluate specific energy savings potentials. They are also often utilized to maximize cost-effective retrofits for existing buildings as well as to estimate the impact of policy changes toward meeting energy savings goals. Traditional energy modeling suffers from several factors, including the large number of inputs required to characterize the building, the specificity required to accurately model building materials and components, simplifying assumptions made by underlying simulation algorithms, and the gap between the as-designed and as-built building. Prior works have attempted to mitigate these concerns by using sensor-based machine learning approaches to model energy consumption. However, a majority of these prior works focus only on commercial buildings. The works that focus on modeling residential buildings primarily predict monthly electrical consumption, while commercial models predict hourly consumption. This means there is not a clear indicator of which techniques best model residential consumption, since these methods are only evaluated using low-resolution data. We address this issue by testing seven different machine learning algorithms on a unique residential data set, which contains 140 different sensors measurements, collected every 15 minutes. In addition, we validate each learner's correctness on the ASHRAE Great Energy Prediction Shootout, using the original competition metrics. Our validation results confirm existing conclusions that Neural Network-based methods perform best on commercial buildings. However, the results from testing our residential data set show that Feed Forward Neural Networks, Support Vector Regression (SVR), and Linear Regression methods perform poorly, and that Hierarchical Mixture of Experts (HME) with Least Squares Support Vector Machines (LS-SVM) performs best - a technique not previously applied to this domain.

  1. California’s Energy Future: Transportation Energy Use in California

    E-Print Network [OSTI]

    Yang, Christopher; Ogden, Joan M; Hwang, Roland; Sperling, Daniel

    2011-01-01T23:59:59.000Z

    world could drive lithium commodity prices higher, lithiumlithium in batteries or neodymium in electric motors), these commodity costs can have a large role in determining the ultimate price

  2. IEEE TRANSACTIONS ON SMART GRID, VOL. 4, NO. 1, MARCH 2013 311 Optimizing Electric Vehicle Charging With Energy

    E-Print Network [OSTI]

    Tang, Jian "Neil"

    With Energy Storage in the Electricity Market Chenrui Jin, Member, IEEE, Jian Tang, Member, IEEE, and Prasanta) that are currently under development for future smart grid systems can enable load aggregators to have bidirectional commu- nications with both the grid and Electric Vehicles (EVs) to obtain real-time price and load

  3. Introduction to Futures Markets

    E-Print Network [OSTI]

    Mintert, James R.; Welch, Mark

    2009-01-07T23:59:59.000Z

    are some terms and definitions. Figure 1. Marking-to-Market Buyer and Seller Accounts at Exchange Clearinghouse. Buyer (Long) Date Action Price Day 1 Buy at $6.00/bu Day 2 No action (but price increases) $6.10/bu $0.10/bu gain x 5,000 bu... $500 gain from day 1 Seller (Short) Date Action Price Day 1 Sell at $6.00/bu Day 2 No action (but price increases) $6.10/bu $0.10/bu loss x 5,000 bu $500 loss from day 1 Long A buyer of a futures contract. Someone who buys a futures...

  4. advanced electric vehicle: Topics by E-print Network

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

    Home and work charging infrastructure Electricity prices Purchase Cold Starts Electric operation MPKWH eVMT (engine off and blended) ...

  5. Options for Kentucky's Energy Future

    SciTech Connect (OSTI)

    Larry Demick

    2012-11-01T23:59:59.000Z

    Three important imperatives are being pursued by the Commonwealth of Kentucky: ? Developing a viable economic future for the highly trained and experienced workforce and for the Paducah area that today supports, and is supported by, the operations of the US Department of Energy’s (DOE’s) Paducah Gaseous Diffusion Plant (PGDP). Currently, the PGDP is scheduled to be taken out of service in May, 2013. ? Restructuring the economic future for Kentucky’s most abundant indigenous resource and an important industry – the extraction and utilization of coal. The future of coal is being challenged by evolving and increasing requirements for its extraction and use, primarily from the perspective of environmental restrictions. Further, it is important that the economic value derived from this important resource for the Commonwealth, its people and its economy is commensurate with the risks involved. Over 70% of the extracted coal is exported from the Commonwealth and hence not used to directly expand the Commonwealth’s economy beyond the severance taxes on coal production. ? Ensuring a viable energy future for Kentucky to guarantee a continued reliable and affordable source of energy for its industries and people. Today, over 90% of Kentucky’s electricity is generated by burning coal with a delivered electric power price that is among the lowest in the United States. Anticipated increased environmental requirements necessitate looking at alternative forms of energy production, and in particular electricity generation.

  6. 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.

  7. Innovative Utility Pricing for Industry

    E-Print Network [OSTI]

    Ross, J. A.

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

  8. Uncertainties in the Value of Bill Savings from Behind-the-Meter, Residential Photovoltaic Systems: The Roles of Electricity Market Conditions, Retail Rate Design, and Net Metering

    E-Print Network [OSTI]

    Darghouth, Naim Richard

    2013-01-01T23:59:59.000Z

    2005a. Time- varying retail electricity prices: Theory andpractice. Electricity Deregulation: Choices and Challenges.efficiency of real-time electricity pricing. Energy Journal

  9. Electricity Prices for Households - EIA

    Gasoline and Diesel Fuel Update (EIA)

    (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.023 NA NA Australia 0.091 0.092 0.094 0.098 NA NA NA NA NA...

  10. Electricity Prices for Industry - EIA

    Gasoline and Diesel Fuel Update (EIA)

    (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.049 NA NA Australia 0.044 0.049 0.054 0.061 NA NA NA NA NA...

  11. Natural Gas Electric Power Price

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG 0 20Year Jan Feb Mar68 4.50 4.29

  12. Natural Gas Electric Power Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996) inthrough 1996) in4.93 5.27

  13. Natural Gas Electric Power Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996) inthrough 1996) in4.93 5.27

  14. Natural Gas Electric Power Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade1 Source: Office of(Millionthrough 1996) inthrough 1996) in4.93

  15. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15T23:59:59.000Z

    Natural gas prices are critical to a range of regulatory decisions covering both electric and gas utilities. Natural gas prices are often a crucial variable in electric generation capacity planning and in the benefit-cost relationship for energy-efficiency programs. High natural gas prices can make coal generation the most economical new source, while low prices can make natural gas generation the most economical. (author)

  16. Renewable Electricity Futures Study

    E-Print Network [OSTI]

    Renewable Energy Laboratory; pp. 6-1 ­ 6-58. Chapter 7. Geothermal Energy Technologies Augustine, C.; Denholm, P.; Heath, G.; Mai, T.; Tegen, S.; Young. K. (2012). "Geothermal Energy Technologies," Chapter 7.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance

  17. ELECTRIC

    Office of Legacy Management (LM)

    you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

  18. Milk Futures, Options and Basis

    E-Print Network [OSTI]

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

    2001-10-12T23:59:59.000Z

    The milk futures and options market enables producers and processors to manage price risk. This publication explains hedging, margin accounts, basis and how to track it, and other fundamentals of the futures and options market....

  19. Trade-off analysis for electric power planning in New England : a methodology for dealing with uncertain futures

    E-Print Network [OSTI]

    Connors, Stephen R.

    1989-01-01T23:59:59.000Z

    The use of a multi-attribute trade-off analysis technique as a vehicle to provide information to a diverse group of electric industry interests can play a beneficial role for developing long-range strategies for the electric ...

  20. Planning for future uncertainties in electric power generation : an analysis of transitional strategies for reduction of carbon and sulfur emissions

    E-Print Network [OSTI]

    Tabors, Richard D.

    1991-01-01T23:59:59.000Z

    The object of this paper is to identify strategies for the U.S. electric utility industry for reduction of both acid rain producing and global warming gases. The research used the EPRI Electric Generation Expansion Analysis ...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-01-01T23:59:59.000Z

    Associates, citing NYMEX natural gas bid-offer spreadAnalysis of the Market for Natural Gas Futures. ” The Energyas a Physical Hedge Against Natural Gas Price Movements. ”

  2. General Electric Company Oahu Wind Integration Study

    E-Print Network [OSTI]

    to disruptions in supply. Further, the volatility in oil prices translates into volatility in electricity prices. As oil prices increase, Hawaii consumers face increases in energy prices as well as the price of most was approximately 13% of the State Gross Product. Most of the imported oil is used for transportation fuel

  3. FROM TECHNOLOGY COMPETITION TO REINVENTING INDIVIDUAL MOBILITY FOR A SUSTAINABLE FUTURE: CHALLENGES FOR NEW DESIGN STRATEGIES FOR ELECTRIC VEHICLE

    E-Print Network [OSTI]

    Boyer, Edmond

    FOR NEW DESIGN STRATEGIES FOR ELECTRIC VEHICLE MIDLER Christophe Ecole polytechnique BEAUME Romain Ecole-going revival of full battery electric vehicles (EV). Our analysis is drawn in two axes. First, we analyse In the automotive history, Electric Vehicle (EV) has been seen as an option for more than a century but lost

  4. Easing the natural gas crisis: Reducing natural gas prices through increased deployment of renewable energy and energy efficiency

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark; St. Clair, Matt

    2004-12-21T23:59:59.000Z

    Heightened natural gas prices have emerged as a key energy-policy challenge for at least the early part of the 21st century. With the recent run-up in gas prices and the expected continuation of volatile and high prices in the near future, a growing number of voices are calling for increased diversification of energy supplies. Proponents of renewable energy and energy efficiency identify these clean energy sources as an important part of the solution. Increased deployment of renewable energy (RE) and energy efficiency (EE) can hedge natural gas price risk in more than one way, but this paper touches on just one potential benefit: displacement of gas-fired electricity generation, which reduces natural gas demand and thus puts downward pressure on gas prices. Many recent modeling studies of increased RE and EE deployment have demonstrated that this ''secondary'' effect of lowering natural gas prices could be significant; as a result, this effect is increasingly cited as justification for policies promoting RE and EE. This paper summarizes recent studies that have evaluated the gas-price-reduction effect of RE and EE deployment, analyzes the results of these studies in light of economic theory and other research, reviews the reasonableness of the effect as portrayed in modeling studies, and develops a simple tool that can be used to evaluate the impact of RE and EE on gas prices without relying on a complex national energy model. Key findings are summarized.

  5. SIMULATING THE IMPACTS OF CLIMATE CHANGE, PRICES AND POPULATION ON CALIFORNIA'S

    E-Print Network [OSTI]

    Auffhammer, Maximilian

    temperature bins on households' electricity consumption. The estimation uses a comprehensive household level of higher electricity prices and different scenarios of population growth. Finally, simulations wereSIMULATING THE IMPACTS OF CLIMATE CHANGE, PRICES AND POPULATION ON CALIFORNIA'S RESIDENTIAL

  6. 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.

  7. Monthly/Annual Energy Review - electricity section

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    Monthly and latest annual statistics on electricity generation, capacity, end-use, fuel use and stocks, and retail price.

  8. 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

  9. 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

  10. allowance price drivers: Topics by E-print Network

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

    First evidence of asymmetric cost pass-through of Eu emissions allowances : examining wholesale electricity prices in Germany MIT - DSpace Summary: This paper applies the...

  11. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    in Demand Response for Wholesale Ancillary Services. ” Incan be used to link wholesale and retail real-time prices.11 Wholesale Electricity Market Information

  12. Conversations about electricity and the future: Findings of an international seminar and lessons from a year of surprises

    SciTech Connect (OSTI)

    Rossin, A.D.; Fowler, K. (eds.)

    1991-06-01T23:59:59.000Z

    In January 1990 thirty-two experts from twelve countries convened for a five-day working Seminar on the Berkeley Campus of the University of California to discuss electricity supply and demand. The participants brought with them deep and diverse backgrounds in energy issues. A major concern of the First 1990 Group on Electricity was the potential impact of electricity shortages on the environment, just at a time of growing awareness of environmental deterioration. These concerns extend from local problems to nations, regions and global impacts. Indeed, because of the importance of electricity in our lives, potential electric power shortages already foreseeable in this decade could overwhelm public concern for the environment, unless critical, long-leadtime measures are taken very soon. The First 1990 Group on Electricity's Findings and Conclusions, the thinking that led to them, and the impact of events in the intervening year form the content of this book.

  13. A Two Stage Stochastic Equilibrium Model for Electricity Markets ...

    E-Print Network [OSTI]

    2008-12-12T23:59:59.000Z

    a monopoly, its marginal cost at output level qu or above would exceed any possible market price. ...... in an electricity markets with locational prices. See [15] for ...

  14. PREDICTING AGRI-COMMODITY PRICES: AN ASSET PRICING APPROACH

    E-Print Network [OSTI]

    Kaminsky, Werner

    movements is crucial for ination control and production planning. It is especially relevant to developing reading of future food price movements can be an invaluable budgetary planning tool for various government heavily on commodity productions for growth and export, governments often distribute foodgrains

  15. Evaluation of evolving residential electricity tariffs

    E-Print Network [OSTI]

    Lai, Judy

    2011-01-01T23:59:59.000Z

    residential electricity tariffs Judy Lai, Nicholas DeForest,residential electricity tariffs Judy Lai – Senior Researchfrom the current 5-tiered tariff to time variable pricing,

  16. Electric Vehicles

    ScienceCinema (OSTI)

    Ozpineci, Burak

    2014-07-23T23:59:59.000Z

    Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

  17. Electric Vehicles

    SciTech Connect (OSTI)

    Ozpineci, Burak

    2014-05-02T23:59:59.000Z

    Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

  18. The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

    placed on any one forecast of future natural gas prices, andreference case forecast of spot natural gas prices deliveredPrice Forecasts to Compare Renewable to Natural Gas- Fired

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

    E-Print Network [OSTI]

    Duffy, Ken

    A REACTIVE APPROACH FOR MINING PROJECT EVALUATION UNDER PRICE UNCERTAINTY Meimei Zhang. This method often undervalues a mining project since it ignores future price uncertainty and does not allow on metal price. This paper also demonstrates that the "reactive" approach can estimate the mine project

  20. Mick Jagger Explains High Crude Oil Prices How can Mick Jagger of The Rolling Stones help explain the current high crude oil

    E-Print Network [OSTI]

    Ahmad, Sajjad

    in the price of crude oil quickly transmit themselves through the "food chain," quickly hitting gasoline prices an additional pop to the price. In addition, the futures markets draw off gasoline from existing stocks to supply more gasoline in the near future, when even higher prices are expected. In other words, prices

  1. The house of the future

    SciTech Connect (OSTI)

    2010-05-13T23:59:59.000Z

    Learn what it will take to create tomorrow's net-zero energy home as scientists reveal the secrets of cool roofs, smart windows, and computer-driven energy control systems. The net-zero energy home: Scientists are working to make tomorrow's homes more than just energy efficient -- they want them to be zero energy. Iain Walker, a scientist in the Lab's Energy Performance of Buildings Group, will discuss what it takes to develop net-zero energy houses that generate as much energy as they use through highly aggressive energy efficiency and on-site renewable energy generation. Talking back to the grid: Imagine programming your house to use less energy if the electricity grid is full or price are high. Mary Ann Piette, deputy director of Berkeley Lab's building technology department and director of the Lab's Demand Response Research Center, will discuss how new technologies are enabling buildings to listen to the grid and automatically change their thermostat settings or lighting loads, among other demands, in response to fluctuating electricity prices. The networked (and energy efficient) house: In the future, your home's lights, climate control devices, computers, windows, and appliances could be controlled via a sophisticated digital network. If it's plugged in, it'll be connected. Bruce Nordman, an energy scientist in Berkeley Lab's Energy End-Use Forecasting group, will discuss how he and other scientists are working to ensure these networks help homeowners save energy.

  2. The house of the future

    ScienceCinema (OSTI)

    None

    2010-09-01T23:59:59.000Z

    Learn what it will take to create tomorrow's net-zero energy home as scientists reveal the secrets of cool roofs, smart windows, and computer-driven energy control systems. The net-zero energy home: Scientists are working to make tomorrow's homes more than just energy efficient -- they want them to be zero energy. Iain Walker, a scientist in the Lab's Energy Performance of Buildings Group, will discuss what it takes to develop net-zero energy houses that generate as much energy as they use through highly aggressive energy efficiency and on-site renewable energy generation. Talking back to the grid: Imagine programming your house to use less energy if the electricity grid is full or price are high. Mary Ann Piette, deputy director of Berkeley Lab's building technology department and director of the Lab's Demand Response Research Center, will discuss how new technologies are enabling buildings to listen to the grid and automatically change their thermostat settings or lighting loads, among other demands, in response to fluctuating electricity prices. The networked (and energy efficient) house: In the future, your home's lights, climate control devices, computers, windows, and appliances could be controlled via a sophisticated digital network. If it's plugged in, it'll be connected. Bruce Nordman, an energy scientist in Berkeley Lab's Energy End-Use Forecasting group, will discuss how he and other scientists are working to ensure these networks help homeowners save energy.

  3. State Energy Price System: 1982 update

    SciTech Connect (OSTI)

    Imhoff, K.L.; Fang, J.M.

    1984-10-01T23:59:59.000Z

    The State Energy Price System (STEPS) contains estimates of energy prices for ten major fuels (electricity, natural gas, metallurgical coal, steam coal, distillate, motor gasoline, diesel, kerosene/jet fuel, residual fuel, and liquefied petroleum gas), by major end-use sectors (residential, commercial, industrial, transportation, and electric utility), and by state through 1982. Both physical unit prices and prices per million Btu are included in STEPS. Major changes in STEPS data base for 1981 and 1982 are described. The most significant changes in procedures for the updates occur in the residential sector distillate series and the residential sector kerosene series. All physical unit and Btu prices are shown with three significant digits instead of with four significant digits as shown in the original documentation. Details of these and other changes are contained in this report, along with the updated data files. 31 references, 65 tables.

  4. 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.

  5. Electricity demand-side management for an energy efficient future in China : technology options and policy priorities

    E-Print Network [OSTI]

    Cheng, Chia-Chin

    2005-01-01T23:59:59.000Z

    The main objective of this research is to identify robust technology and policy options which achieve substantial reductions in electricity demand in China's Shandong Province. This research utilizes a scenario-based ...

  6. The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future

    E-Print Network [OSTI]

    Weinert, Jonathan X.

    2007-01-01T23:59:59.000Z

    pedals more often. Lead acid batteries perform worse in coldC.E.B.P.Q.M.I. Quality of Lead-acid Batteries for Electric-of valve-regulated lead/acid batteries in China. Journal of

  7. The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future

    E-Print Network [OSTI]

    Weinert, Jonathan X.

    2007-01-01T23:59:59.000Z

    51]. Likely lower in China Fuel Cost Vehicle ElectricityBicycle Use in China: Analysis of Costs and Benefits. UCmode in China and abroad. Battery performance and cost for

  8. Valuing the Time-Varying Electricity Production of Solar Photovoltaic Cells

    E-Print Network [OSTI]

    Borenstein, Severin

    2005-01-01T23:59:59.000Z

    photovoltaic cells remain a relatively expensive way to generate electricity, but with increasing natural gas prices

  9. Sixth Northwest Conservation and Electric Power Plan Chapter 3: Electricity Demand Forecast

    E-Print Network [OSTI]

    been influenced by expected higher electricity prices that reflect a rapid rise in fuel prices and emerging carbon-emission penalties. For example, residential consumer retail electricity prices of this projected demand growth. The electricity demand increase is driven primarily by significant growth in two

  10. Electric power annual 1998. Volume 1

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

    The purpose of this report, Electric Power Annual 1998 Volume 1 (EPAVI), is to provide a comprehensive overview of the electric power industry during the most recent year for which data have been collected, with an emphasis on the major changes that occurred. In response to the changes of 1998, this report has been expanded in scope. It begins with a general review of the year and incorporates new data on nonutility capacity and generation, transmission information, futures prices from the Commodity futures Trading commission, and wholesale spot market prices from the pennsylvania-new Jersey-Maryland Independent System Operator and the California Power Exchange. Electric utility statistics at the Census division and State levels on generation, fuel consumption, stocks, delivered cost of fossil fuels, sales to ultimate customers, average revenue per kilowatthour of electricity sold, and revenues from those retail sales can be found in Appendix A. The EPAVI is intended for a wide audience, including Congress, Federal and State agencies, the electric power industry, and the general public.

  11. Production and price projections for Texas grapefruit - 1975 

    E-Print Network [OSTI]

    Tefertiller, Edward Harold

    1969-01-01T23:59:59.000Z

    . fornia Fresh and Processed Harkets for Grapefruit Production Per Capita On-Tree and F. o. b. Texas Prices for Grapefruit Crop Values for Texas Grapefruit Total Projecting Consumer Demand for the Future (1975) Projected 1975 Production.../Capita Quantities and Texas Grapefruit Price Equation Projected Quantities for 1975 Price Equation (On-Treuj Projected 1975 On-Tree Prices and Crop Valves Optimum 1975/76 Production for Texas Grapefruit Growers Crop Value- for Texas Fresh Grapefruit 38 38...

  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. The Value of Renewable Energy as a Hedge Against Fuel Price Risk: Analytic Contributions from Economic and Finance Theory

    SciTech Connect (OSTI)

    Bolinger, Mark A; Wiser, Ryan

    2008-09-15T23:59:59.000Z

    For better or worse, natural gas has become the fuel of choice for new power plants being built across the United States. According to the Energy Information Administration (EIA), natural gas-fired units account for nearly 90% of the total generating capacity added in the U.S. between 1999 and 2005 (EIA 2006b), bringing the nationwide market share of gas-fired generation to 19%. Looking ahead over the next decade, the EIA expects this trend to continue, increasing the market share of gas-fired generation to 22% by 2015 (EIA 2007a). Though these numbers are specific to the US, natural gas-fired generation is making similar advances in many other countries as well. A large percentage of the total cost of gas-fired generation is attributable to fuel costs--i.e., natural gas prices. For example, at current spot prices of around $7/MMBtu, fuel costs account for more than 75% of the levelized cost of energy from a new combined cycle gas turbine, and more than 90% of its operating costs (EIA 2007a). Furthermore, given that gas-fired plants are often the marginal supply units that set the market-clearing price for all generators in a competitive wholesale market, there is a direct link between natural gas prices and wholesale electricity prices. In this light, the dramatic increase in natural gas prices since the 1990s should be a cause for ratepayer concern. Figure 1 shows the daily price history of the 'first-nearby' (i.e., closest to expiration) NYMEX natural gas futures contract (black line) at Henry Hub, along with the futures strip (i.e., the full series of futures contracts) from August 22, 2007 (red line). First, nearby prices, which closely track spot prices, have recently been trading within a $7-9/MMBtu range in the United States and, as shown by the futures strip, are expected to remain there through 2012. These price levels are $6/MMBtu higher than the $1-3/MMBtu range seen throughout most of the 1990s, demonstrating significant price escalation for natural gas in the United States over a relatively brief period. Perhaps of most concern is that this dramatic price increase was largely unforeseen. Figure 2 compares the EIA's natural gas wellhead price forecast from each year's Annual Energy Outlook (AEO) going back to 1985 against the average US wellhead price that actually transpired. As shown, our forecasting abilities have proven rather dismal over time, as over-forecasts made in the late 1980's eventually yielded to under-forecasts that have persisted to this day. This historical experience demonstrates that little weight should be placed on any one forecast of future natural gas prices, and that a broad range of future price conditions ought to be considered in planning and investment decisions. Against this backdrop of high, volatile, and unpredictable natural gas prices, increasing the market penetration of renewable generation such as wind, solar, and geothermal power may provide economic benefits to ratepayers by displacing gas-fired generation. These benefits may manifest themselves in several ways. First, the displacement of natural gas-fired generation by increased renewable generation reduces ratepayer exposure to natural gas price risk--i.e., the risk that future gas prices (and by extension future electricity prices) may end up markedly different than expected. Second, this displacement reduces demand for natural gas among gas-fired generators, which, all else equal, will put downward pressure on natural gas prices. Lower natural gas prices in turn benefit both electric ratepayers and other end-users of natural gas. Using analytic approaches that build upon, yet differ from, the past work of others, including Awerbuch (1993, 1994, 2003), Kahn and Stoft (1993), and Humphreys and McClain (1998), this chapter explores each of these two potential 'hedging' benefits of renewable electricity. Though we do not seek to judge whether these two specific benefits outweigh any incremental cost of renewable energy (relative to conventional fuels), we do seek to quantify the magnitude of these two individual benefit

  14. PSERC 98-22 "Market Power and Price Volatility in

    E-Print Network [OSTI]

    PSERC 98-22 "Market Power and Price Volatility in Restructured Markets for Electricity" Tim Mount/IEEE Service Center/445 Hoes Lane/P.O. Box 1331/Piscataway, NJ 08855-1331, USA. Telephone: + Intl. 908-562-3966. #12;MARKET POWER AND PRICE VOLATILITY IN RESTRUCTURED MARKETS FOR ELECTRICITY Tim Mount School

  15. 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

    and forecast future wind cost and pricing trends (see,long-term forecast of future wind costs or competitiveness,To put the material on wind cost and pricing trends in

  16. Analysis of Strategies of Companies under Carbon Constraint: Relationship between Profit Structure of Companies and Carbon/Fuel Price Uncertainty

    E-Print Network [OSTI]

    Hashimoto, Susumu

    This paper examines the relationship between future carbon prices and the expected profit of companies by case studies with model companies. As the future carbon price will vary significantly in accordance with the political ...

  17. Cost Optimal Operation of Thermal Energy Storage System with Real-Time Prices

    E-Print Network [OSTI]

    Cost Optimal Operation of Thermal Energy Storage System with Real-Time Prices Toru Kashima, Member of the result [4]. The same can be said for time varying real-time prices. Real-time energy pricing is not yet such as chillers. Energy resources such as electricity or natural gas are bought from suppliers at certain prices

  18. Maximizing Return on Investment of a Grid-Connected Hybrid Electrical Energy Storage System

    E-Print Network [OSTI]

    Pedram, Massoud

    -of-day pricing policy [3] with much higher energy price during peak hours for residential users, incentivizing energy when the electricity price is low and supply energy for use when the electricity price is high [6 total energy cost saving compared to its capital cost (i.e., the purchase price of the system plus its

  19. Modeling and simulation of consumer response to dynamic pricing.

    SciTech Connect (OSTI)

    Valenzuela, J.; Thimmapuram, P.; Kim, J (Decision and Information Sciences); (Auburn Univ.)

    2012-08-01T23:59:59.000Z

    Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift daily energy consumption from hours when the price is expected to be high to hours when the price is expected to be low while maintaining the total energy consumption as unchanged. We integrate the consumer response model into the Electricity Market Complex Adaptive System (EMCAS). EMCAS is an agent-based model that simulates restructured electricity markets. We explore the impacts of dynamic-pricing on price spikes, peak demand, consumer energy bills, power supplier profits, and congestion costs. A simulation of an 11-node test network that includes eight generation companies and five aggregated consumers is performed for a period of 1 month. In addition, we simulate the Korean power system.

  20. Essays in Competition and Investment in Electricity Market 

    E-Print Network [OSTI]

    Tang, Xin

    2014-11-07T23:59:59.000Z

    Many jurisdiction has opened retail electricity markets to competition. In Texas, retailers offer hundreds of electricity plans with different prices. The first paper uses search cost and product differentiation to explain the price dispersion using...

  1. An Optimization Framework for Data Centers to Minimize Electric Bill under Day-Ahead Dynamic Energy Prices While Providing Regulation Services

    E-Print Network [OSTI]

    Pedram, Massoud

    computing services, which in turn brings about rapid increase in the electric power consumption associated with IT infrastructure. This growing power demand precipitates adverse environmental impacts and imposes a significant strain on the Power System Infrastructure [1]-[5]. Large data centers--such as those owned by Google

  2. The imperfect price-reversibility of world oil demand

    SciTech Connect (OSTI)

    Gately, D. [New York Univ., NY (United States)

    1993-12-31T23:59:59.000Z

    This paper examines the price-reversibility of world oil demand, using price-decomposition methods employed previously on other energy demand data. We conclude that the reductions in world oil demand following the oil price increases of the 1970s will not be completely reversed by the price cuts of the 1980s. The response to price cuts in the 1980s is perhaps only one-fifth that for price increases in the 1970s. This has dramatic implications for projections of oil demand, especially under low-price assumptions. We also consider the effect on demand of a price recovery (sub-maximum increase) in the 1990s - due either to OPEC or to a carbon tax-specifically whether the effects would be as large as for the price increases of the 1970s or only as large as the smaller demand reversals of the 1980s. On this the results are uncertain, but a tentative conclusion is that the response to a price recovery would lie midway between the small response to price cuts and the larger response to increases in the maximum historical price. Finally, we demonstrate two implications of wrongly assuming that demand is perfectly price-reversible. First, such an assumption will grossly overestimate the demand response to price declines of the 1980s. Secondly, and somewhat surprisingly, it causes an underestimate of the effect of income growth on future demand. 21 refs., 11 figs., 1 tab.

  3. Sixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions

    E-Print Network [OSTI]

    at zero and increase to $47 per ton of CO2 emissions by 2030. Higher electricity prices reduce demandSixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions Summary of Key................................................................ 10 Wholesale Electricity Prices

  4. What Do Consumers Believe About Future Gasoline Soren T. Anderson

    E-Print Network [OSTI]

    Silver, Whendee

    What Do Consumers Believe About Future Gasoline Prices? Soren T. Anderson Michigan State University of consumers about their expectations of future gasoline prices. Overall, we find that consumer beliefs follow a random walk, which we deem a reasonable forecast of gasoline prices, but we find a deviation from

  5. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    EIA, World Petroleum Consumption) times the average price of West Texas Intermediate (from the FRED database

  6. 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

  7. Stochastic dynamic optimization of consumption and the induced price elasticity of demand in smart grids

    E-Print Network [OSTI]

    Faghih, Ali

    2011-01-01T23:59:59.000Z

    This thesis presents a mathematical model of consumer behavior in response to stochastically-varying electricity prices, and a characterization of price-elasticity of demand created by optimal utilization of storage and ...

  8. 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

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

  9. 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

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

  10. Electricity Monthly Update - Energy Information Administration

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

    increased electric demand and wholesale and retail prices over last February. Coal consumption rose across the U.S. and out competed natural gas on price in the East. A gas...

  11. Reality Check: Cheaper Batteries are GOOD for America's Electric...

    Office of Environmental Management (EM)

    electric vehicle manufacturing. The story says that the price of advanced batteries for electric vehicles is rapidly declining. That's true. And it's also very good news, since...

  12. anl electric vehicle: Topics by E-print Network

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

    Please scroll down to see the full text article. Renewable Energy Websites Summary: pricing. Special electricity rate tariffs already in place for electric vehicles could...

  13. Steam Pricing

    E-Print Network [OSTI]

    Jones, K. C.

    . But he uses it to drive a steam turbine which in turn drives a pump. The turbine expands the steam to a lower pressure where it is then condensed and the condensate returned to the boiler house. Let's find out what the steam is worth to this user. His... while the 15 psig condensing turbine is a good candidate to be replaced with an electric motor. But, whatever the case is, the cost of the steam has nothing to do with its value. The point of the above is that this paper is about COST...

  14. Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy-related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate "price bands" around observed futures prices for crude oil, natural gas, and other commodities.

  15. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2005-11-09T23:59:59.000Z

    Dynamic retail pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response has been an afterthought, and in some cases not given any weight at all. But that may be changing, as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period during which utilities were required to offer a default or standard offer generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached the end of their transitional period, and several have adopted or are actively considering an RTP-type default service for large commercial and industrial (C&I) customers. In most cases, the primary reason for adopting RTP as the default service has been to advance policy objectives related to the development of competitive retail markets. However, if attention is paid in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This article, which draws from a lengthier report, describes experience to date with RTP as a default service, focusing on its role as an instrument for cultivating price responsive demand.1 As of summer 2005, default service RTP was in place or approved for future implementation in five U.S. states: New Jersey, Maryland, Pennsylvania, New York, and Illinois. For each of these states, we conducted a detailed review of the regulatory proceedings leading to adoption of default RTP and interviewed regulatory staff and utilities in these states, as well as eight competitive retail suppliers active in these markets.

  16. Future Grid: The Environment Future Grid Initiative White Paper

    E-Print Network [OSTI]

    Future Grid: The Environment Future Grid Initiative White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy System #12;Future Grid: The Environment Prepared for the Project "The Future Grid to Enable Sustainable Energy Systems" Funded by the U

  17. Reactive Power Support Services in Electricity Markets

    E-Print Network [OSTI]

    Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Project this Project For information about this project contact: Peter W. Sauer, Project Leader Professor Electrical

  18. 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 ,

  19. 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

  20. Conservation Behavior: From Voluntary Restraint to a Voluntary Price Premium*

    E-Print Network [OSTI]

    predictions of the model in an empirical study of household electricity consumption with introduction of a price-premium, green-electricity program. We ...nd evidence of voluntary restraint and its relation test its predictions in an empirical study of household demand for electricity in Traverse City

  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. An Analysis of Residential PV System Price Differences Between the United States and Germany

    E-Print Network [OSTI]

    Seel, Joachim

    2014-01-01T23:59:59.000Z

    A levelized cost of electricity (LCoE) analysis based on thePV system prices could reduce LCoE assumptions: 25-year life

  3. 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

    Residential Market for Natural Gas,” 2008, working paper. [of Electricity and Natural Gas,” Journal of IndustrialPrices: Evidence from Natural Gas Distribution Utilities,”

  4. Cooperative Demand Response Using Repeated Game for Price-Anticipating Buildings in Smart Grid

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01T23:59:59.000Z

    1. Demand response with price-anticipating buildings. C.one-stage demand response because all the building managersbuilding electricity use, with application to demand response,”

  5. Will smart pricing finally take off? Andrew Odlyzko

    E-Print Network [OSTI]

    Odlyzko, Andrew M.

    central business districts and "smart" electric meter deployments are spreading. Airlines are evenWill smart pricing finally take off? Andrew Odlyzko School of Mathematics University of Minnesota Abstract. "Smart pricing" has been the goal of the networking research com- munity

  6. Video Pricing for Wireless Networks Patrick Seeling and Martin Reisslein

    E-Print Network [OSTI]

    Reisslein, Martin

    Video Pricing for Wireless Networks Patrick Seeling and Martin Reisslein Dept. of Electrical of cellular, WLAN, and multi-hop wireless networks. We illustrate the developed pricing framework through in the context of the given wireless network scenario. Our cost model incorporates fixed infrastructure costs

  7. Dynamic pricing? Not so fast. a residential consumer perspective

    SciTech Connect (OSTI)

    Alexander, Barbara R.

    2010-07-15T23:59:59.000Z

    With the installation of smart metering, will residential customers be moved to ''dynamic'' pricing? Some supporters of changing residential rate design from a fixed and stable rate structure believe customers should be required to take electric service with time-variant price signals. Not so fast, though. There are real implications associated with this strategy. (author)

  8. Does dynamic pricing make sense for mass market customers?

    SciTech Connect (OSTI)

    McDonough, Catherine; Kraus, Robert

    2007-08-15T23:59:59.000Z

    The added incentive to modify electric use under hourly versus monthly market-based pricing is small for most mass market customers in Upstate New York. If the ultimate policy goal of demand-response programs is to reduce peak load, then promoting conservation measures under monthly market-based pricing holds more promise. (author)

  9. Designing pricing strategies for coordination of networked distributed energy resources

    E-Print Network [OSTI]

    Liberzon, Daniel

    Designing pricing strategies for coordination of networked distributed energy resources Bahman, by a group of distributed energy resources (DERs). The aggregator interacts with the wholesale electricity. The objective is for the aggregator to design a pricing strategy for incentivizing DERs to modify their active

  10. 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

  11. 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

  12. NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures

    E-Print Network [OSTI]

    Mai, Ph.D. 5th International Conference on Integration of Renewable and Distributed Energy Resources characteristics are unique to each RE generation technology. Abundant Renewable Energy Resources Darker Colors and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures Trieu

  13. 2012 National Electric Transmission Congestion Study: Preliminary...

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

    loading relief (TLR) procedures. Frequent or recurrent disparities in wholesale electricity prices across regional markets, as seen in RTOs' reported congestion...

  14. Electric Storage in California's Commercial Buildings

    E-Print Network [OSTI]

    Stadler, Michael

    2014-01-01T23:59:59.000Z

    electricity costs (energy and demand charges), $ C EVTOU pricing for both energy and power (demand) charges. Themicrogrid to avoid high demand and energy charges during

  15. Pricing and Forwarding Games for Inter-domain Full version

    E-Print Network [OSTI]

    Varela, Carlos

    , Koushik Kar, and Michael Usher Department of Computer Science Department of Electrical & Computer-to-anywhere pricing) [16]. It has been argued correctly that point-to-point or destination-based pric- ing can result

  16. Online Pricing of Secondary Spectrum Access with Unknown Demand Function

    E-Print Network [OSTI]

    Starobinski, David

    consider a set-up consistent with the The authors are affiliated with the Department of Electrical contracts and are not subjected to on-line pric- ing. On the other hand, SUs are admitted and priced

  17. Coal: Energy for the future

    SciTech Connect (OSTI)

    NONE

    1995-05-01T23:59:59.000Z

    This report was prepared in response to a request by the US Department of energy (DOE). The principal objectives of the study were to assess the current DOE coal program vis-a-vis the provisions of the Energy Policy Act of 1992 (EPACT), and to recommend the emphasis and priorities that DOE should consider in updating its strategic plan for coal. A strategic plan for research, development, demonstration, and commercialization (RDD and C) activities for coal should be based on assumptions regarding the future supply and price of competing energy sources, the demand for products manufactured from these sources, technological opportunities, and the need to control the environmental impact of waste streams. These factors change with time. Accordingly, the committee generated strategic planning scenarios for three time periods: near-term, 1995--2005; mid-term, 2006--2020; and, long-term, 2021--2040. The report is divided into the following chapters: executive summary; introduction and scope of the study; overview of US DOE programs and planning; trends and issues for future coal use; the strategic planning framework; coal preparation, coal liquid mixtures, and coal bed methane recovery; clean fuels and specialty products from coal; electric power generation; technology demonstration and commercialization; advanced research programs; conclusions and recommendations; appendices; and glossary. 174 refs.

  18. acceptable future nuclear: Topics by E-print Network

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

    Distribution and Plants Websites Summary: distribution lo- cational marginal pricing (DLMP) method designed to alleviate congestion induced by electric as presented, with...

  19. Pricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff

    E-Print Network [OSTI]

    Lin, Xiaojun

    -of-day pricing. The second approximation was to replace the cost of the actual path the flow would traversePricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff School of Electrical}@ecn.purdue.edu Abstract. In this work we study pricing as a mechanism to control large networks. Our model is based

  20. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    but not least distribution network rent. Keywords-distribution network locational marginal prices; power flow application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets load-side market participation and the use of Distribution network Locational Marginal Prices (DLMP

  1. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    -distribution network locational marginal prices; power flow; reactive power compensation; voltage control; distributed application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets to clear markets and discover dynamic Locational Marginal Prices (LMPs) that promoted more efficient

  2. Renewable Energy Price-Stability Benefits in Utility Green Power Programs

    SciTech Connect (OSTI)

    Bird, L. A.; Cory, K. S.; Swezey, B. G.

    2008-08-01T23:59:59.000Z

    This paper examines utility experiences when offering the fixed-price benefits of renewable energy in green pricing programs, including the methods utilized and the impact on program participation. It focuses primarily on utility green pricing programs in states that have not undergone electric industry restructuring.

  3. An Equilibrium Pricing Model for Weather Derivatives in a Multi-commodity Setting

    E-Print Network [OSTI]

    Oren, Shmuel S.

    . There- fore, energy companies face two types of risk, price risk in the spot market and 1 Manuscript weather changes will affect energy demand and sudden de- mand increases result in spot price spikes-day ice storm in February 2003 electricity prices spiked to $990/MWh causing a retail energy provider

  4. 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.

  5. Probabilistic Optimal Power Flow Applications to Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    of electricity markets, special attention is paid to the uncertainty in Locational Marginal Prices (LMPs], [2]. In markets based on optimal power flows (OPF) to calculate electricity prices, one may use prices. Since OPF is a deterministic tool, it is necessary to complete many simulations to en- compass

  6. Parametric electric motor study

    SciTech Connect (OSTI)

    Adams, D. [Lockheed Martin Energy Systems, Inc., Oak Ridge, TN (United States); Stahura, D. [GM-AC Delco Systems, Indianapolis, IN (United States)

    1995-04-30T23:59:59.000Z

    Technology for the axial gap motor was developed by DOE with an investment of approximately $15 million. This development effort is for motor technologies of high power density and high efficiency. Such motors that are also small and light-weight are not available on the commercial market because high-power motors have typically been used in large industrial applications where small size and light weight are not requirements. AC Delco has been developing motors since 1918 and is interested in leveraging its research and development dollars to produce an array of motor systems for vehicles and to develop a future line of propulsion products. The DOE focus of the study was applied to machining applications. The most attractive feature of this motor is the axial air gap, which may make possible the removal of the motor`s stationary component from a total enclosure of the remainder of the machine if the power characteristics are adequate. The objectives of this project were to evaluate alternative electric drive systems for machine tools and automotive electric drive systems and to select a best machine type for each of those applications. A major challenge of this project was to produce a small, light-weight, highly efficient motor at a cost-effective price. The project developed machine and machine drive systems and design criteria for the range of applications. The final results included the creation of a baseline for developing electric vehicle powertrain system designs, conventional vehicle engine support system designs, and advanced machine tool configurations. In addition, an axial gap permanent magnet motor was built and tested, and gave, said one engineer involved, a sterling performance. This effort will commercialize advanced motor technology and extend knowledge and design capability in the most efficient electric machine design known today.

  7. Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America 

    E-Print Network [OSTI]

    Park, Haesun

    2005-11-01T23:59:59.000Z

    Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity...

  8. Successful Real Time Pricing (RTP) Tieline Control Must Do More Than Save Money

    E-Print Network [OSTI]

    Robinson, J.

    2008-01-01T23:59:59.000Z

    Industrial cogeneration facilities are finding electrical procurement contracts with Real Time Pricing (RTP) clauses attractive. By accepting a portion of the variable energy cost risk, the industrial can reduce the average cost of electricity...

  9. Empirical Analysis of the Spot Market Implications of Price-Responsive Demand

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    and Demand Response in Electricity Markets,” CSEM Working Paper CSEM-WP-105, University of California Energy Institute, Berkeley, CA, USA.USA. Siddiqui, AS (2004), “Price-Elastic Demand in Deregulated Electricity

  10. Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America

    E-Print Network [OSTI]

    Park, Haesun

    2005-11-01T23:59:59.000Z

    Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity...

  11. Energy Prices, Tariffs, Taxes and Subsidies in Ukraine

    SciTech Connect (OSTI)

    Evans, Meredydd

    2007-04-01T23:59:59.000Z

    For many years, electricity, gas and district heating tariffs for residential consumers were very low in Ukraine; until recently, they were even lower than in neighbouring countries such as Russia. The increases in gas and electricity tariffs, implemented in 2006, are an important step toward sustainable pricing levels; however, electricity and natural gas (especially for households) are still priced below the long-run marginal cost. The problem seems even more serious in district heating and nuclear power. According to the Ministry of Construction, district heating tariffs, on average, cover about 80% of costs. Current electricity prices do not fully include the capital costs of power stations, which are particularly high for nuclear power. Although the tariff for nuclear electricity generation includes a small decommissioning charge, it has not been sufficient to accumulate necessary funds for nuclear plants decommissioning.

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

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    2008 Abstract The relationship between gasoline prices and the demand for vehicle fuel efficiencyAutomobile 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

  13. State energy price and expenditure report 1989

    SciTech Connect (OSTI)

    Not Available

    1991-09-30T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

  14. LED Price Tracking Form

    Broader source: Energy.gov [DOE]

    DOE intends to update the SSL Pricing and Efficacy Trend Analysis for Utility Program Planning report on an annual basis, but doing so requires that we have sufficient product and purchase data including acquisition date, purchase price, product category, and rated initial lumens. Those interested in helping collect this data are asked to use the LED Price Tracking FormMicrosoft Excel and follow the instructions for submitting data.

  15. 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...

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    historical data for claiming to be able to predict oil pricehistorical data. The second is to look at the predictions of economic theory as to how oil prices

  17. Potential Electricity Impacts of a 1978 California Drought

    E-Print Network [OSTI]

    Sathaye, J.

    2011-01-01T23:59:59.000Z

    PG&EGeneration by Fuel Type and Average Electricity Wet Yearand Average Electricity 1978 PG&E Generation Price. by FuelSales III Monthly Electricity Energy 77) PG&E ervice Area. S

  18. Trends in Utility Green Pricing Programs (2005)

    Broader source: Energy.gov [DOE]

    This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs. It is important to note that this report covers only a portion of voluntary markets for renewable energy. It does not cover green power sold by independent marketers except for cases in which the marketers work in conjunction with utilities or default electricity suppliers.

  19. International Natural Gas Prices for Electricity Generation ...

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

    - Gross Calorific Value2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA NA NA NA Austria 368.5 379.3 590.6 686.2 729.6 785.0 936.5 1,024.3...

  20. International Coal Prices for Electricity Generation - EIA

    Gasoline and Diesel Fuel Update (EIA)

    NA South Africa 5.81 4.97 7.59 8.50 10.34 NA NA NA NA Spain NA NA NA NA NA NA NA NA NA Sweden NA NA NA NA NA NA NA NA NA Switzerland - - - - - - - - - - - - - - - - - - Thailand NA...