National Library of Energy BETA

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. A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

    A NON­GAUSSIAN ORNSTEIN­UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

  3. Aalborg Universitet Price Based Electric Vehicle Charging

    E-Print Network [OSTI]

    Mahat, Pukar

    Aalborg Universitet Price Based Electric Vehicle Charging Mahat, Pukar; Handl, Martin; Kanstrup., Lozano, A., & Sleimovits, A. (2012). Price Based Electric Vehicle Charging. In Proceedings of the 2012 in the future will be electrical vehicles (EV). The storage capacity of these EVs has the potential

  4. NYMEX Futures Prices

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry Natural GasNatural GasEIARegionalMethodology forNYMEX Futures Prices

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

    E-Print Network [OSTI]

    to the electricity price forecast. This resource mix is used to forecast the fuel consumption and carbon dioxide (CO2Wholesale Electricity Price Forecast This appendix describes the wholesale electricity price forecast of the Fifth Northwest Power Plan. This forecast is an estimate of the future price of electricity

  6. Renewable Electricity Futures Study

    E-Print Network [OSTI]

    Renewable Electricity Futures Study Renewable Electricity Generation and Storage Technologies for Sustainable Energy, LLC. #12;Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable;Suggested Citations Renewable Electricity Futures Study (Entire Report) National Renewable Energy Laboratory

  7. Competitive Electricity Prices: An Update

    Reports and Publications (EIA)

    1998-01-01

    Illustrates a third impact of the move to competitive generation pricing -- the narrowing of the range of prices across regions of the country. This feature article updates information in Electricity Prices in a Competitive Environment: Marginal Cost Pricing of Generation Services and Financial Status of Electric Utilities.

  8. Natural Gas Futures Prices (NYMEX)

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

    093015 View History Spot Price Henry Hub 2.62 2.62 2.60 2.66 2.57 1997-2015 Futures Prices Contract 1 2.569 2.591 2.564 2.563 2.586 2.524 1994-2015 Contract 2 2.638 2.674 2.631...

  9. 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

  10. 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 ...

  11. 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

  12. 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

  13. Natural Gas Futures Prices (NYMEX)

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

    15 View History Spot Price Henry Hub 2.75 2.69 2.69 2.70 2.70 2.61 1997-2015 Futures Prices Contract 1 2.72 2.68 2.68 2.68 2.68 2.57 1994-2015 Contract 2 2.75 2.70 2.76 2.76 2.75...

  14. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-10-01

    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.

  15. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2013-04-01

    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.

  16. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M. M.

    2012-09-01

    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.

  17. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-11-01

    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.

  18. 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

  19. A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

    A NON-GAUSSIAN ORNSTEIN-UHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND DERIVATIVES for analytical pricing of electricity forward and futures contracts. Electricity forward and futures contracts to capture the observed dynamics of electricity spot prices. We also discuss the pricing of European call

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

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

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

  1. Natural Gas Futures Prices (NYMEX)

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

    2.75 3.73 1997-2013 NGPL Composite 8.99 11.83 15.12 10.98 9.94 9.56 2007-2014 Futures Prices Contract 1 4.159 4.382 4.03 2.83 3.73 1994-2013 Contract 2 4.428 4.471 4.09 2.93 3.77...

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

    E-Print Network [OSTI]

    Laughlin, Robert B.

    Chapter V Docket No. PA02-2-000 Price Manipulation in Western MarketsV-1 V. The Influence of Electricity Spot Prices on Electricity Forward Prices Summary of Results The vital link between the spot price and forward price for a commodity is the ability to store the commodity. In essence, someone can meet future

  3. Primer on electricity futures and other derivatives

    SciTech Connect (OSTI)

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

    1998-01-01

    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.

  4. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-08-01

    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.

  5. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M.

    2012-10-01

    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.

  6. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M.; Mai, T.

    2012-08-01

    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.

  7. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-08-01

    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.

  8. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M. M.

    2012-08-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

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

  11. Electricity Prices in a Competitive Environment: Marginal Cost Pricing

    Reports and Publications (EIA)

    1997-01-01

    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 cost-of-service 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 of electricity suppliers?

  12. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Hand, M. M.

    2012-08-01

    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).

  13. MODELS FOR ELECTRICITY PRICES Avishka Raghoonundun

    E-Print Network [OSTI]

    Fournier, John J.F.

    MODELS FOR ELECTRICITY PRICES by Avishka Raghoonundun BSc (Hons),University of Mauritius,2007 M markets has led to higher uncertainty in electricity prices. Electricity, as a commodity, differs from-storability restriction, the most con- spicuous one is the presence of large spikes in electricity prices. Another outcome

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

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

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

  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.

    2008-01-01

    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)

    DeMeo, E.

    2012-08-01

    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.

  17. 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........................................................................................ 13 Fuel Prices................................................................................................................................. 14 Carbon Dioxide Prices

  18. 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.

    2008-01-01

    4.2 E?ective Marginal Prices . . . . . . . . . . . . . . . .Demand Prices . . . . . . . . . . . . . . . . . . . . . .4 Calculation of Electricity Prices 4.1 Average

  19. Renewable Electricity Futures (Presentation)

    SciTech Connect (OSTI)

    Mai, T.

    2012-08-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    range of different plausible price projections, using eitherthat renewables can provide price certainty over even longerof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

  1. 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

  2. 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

  3. The Future of Electricity (and Gas) Regulation

    E-Print Network [OSTI]

    Pollitt, Michael G.

    from switching to the cheapest electricity and gas supplier. However it is clearly the case that regulatory efforts to encourage efficient switching and price transparency are necessary. 8 Using 2005... stream_source_info 0819&EPRG0811.pdf.txt stream_content_type text/plain stream_size 96451 Content-Encoding UTF-8 stream_name 0819&EPRG0811.pdf.txt Content-Type text/plain; charset=UTF-8 The Future of Electricity (and Gas...

  4. Natural Gas Futures Prices (NYMEX)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23 3.2212/29/15

  5. Natural Gas Futures Prices (NYMEX)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23

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

    E-Print Network [OSTI]

    Foley, T. J.

    1986-01-01

    prompted Bonneville to search for Innovative pnClng schemes designed to maintain its revenue base Bonneville's proposed strategy Includes tYing the price of electricity it seilS to tne alumlr,u~ smelters to the world price of aluminum. This paper wili... examine Bonneville's proposed pnClng strategy; it will also examine other strategies to reduce uncertainty In the region's future electriC load. BACKGROUND For well over half a century, electrical power has been a cornerstone of the PaCific Northwest...

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

    E-Print Network [OSTI]

    Kogan, Leonid

    2008-01-01

    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 ...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Figure 9: Two Alternative Price Forecasts (denoted by openComparison of AEO 2007 Natural Gas Price Forecast toNYMEX Futures Prices Date: December 6, 2006 Introduction On

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

    A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price,oren}@ieor.berkeley.edu Abstract-- The electricity price duration curve (EPDC) repre- sents the probability distribution function of the electricity price considered as a random variable. The price uncertainty comes both from the demand side

  10. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01

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

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

    Energy Savers [EERE]

    Presentation to EAC: Renewable Electricity Futures Activities & Status, October 29, 2010 Presentation to EAC: Renewable Electricity Futures Activities & Status, October 29, 2010...

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets See(STEO),7F e28 3.24 3.23 3.22 3.19 3.03

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    the AEO 2005 reference case oil price forecast and NYMEX oibasis-adjusted NYMEX crude oil futures con tracts fo r 2010more than the reference case oil price forecast for that

  15. Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices, An

    Reports and Publications (EIA)

    2005-01-01

    This article compares realized Henry Hub spot market prices for natural gas during the three most recent winters with futures prices as they evolve from April through the following February, when trading for the March contract ends.

  16. 1 18 May 2003 Ris International Energy Conference Analysis of a future liberalised Lithuanian/Baltic Electricity

    E-Print Network [OSTI]

    /Baltic Electricity market Analysis of a future liberalised Lithuanian/Baltic Electricity market Risř International · Model used for the analyses · Results of analyses ­ Production patterns ­ Market prices on electricity of analyses ­ Production patterns ­ Market prices on electricity ­ Future situation for power plants ­ Welfare

  17. Electricity pricing as a demand-side management strategy: Western lessons for developing countries

    SciTech Connect (OSTI)

    Hill, L.J.

    1990-12-01

    Electric utilities in the Western world have increasingly realized that load commitments can be met not only by constructing new generating plants but also by influencing electricity demand. This demand-side management (DSM) process requires that electric utilities promote measures on the customer's side of the meter to directly or indirectly influence electricity consumption to meet desired load objectives. An important demand-side option to achieve these load objectives is innovative electricity pricing, both by itself and as a financial incentive for other demand-site measures. This study explores electricity pricing as a DSM strategy, addressing four questions in the process: What is the Western experience with DSM in general and electricity pricing in particular Do innovative pricing strategies alter the amount and pattern of electricity consumption Do the benefits of these pricing strategies outweigh the costs of implementation What are future directions in electricity pricing Although DSM can be used to promote increases in electricity consumption for electric utilities with excess capacity as well as to slow demand growth for capacity-short utilities, emphasis here is placed on the latter. The discussion should be especially useful for electric utilities in developing countries that are exploring alternatives to capacity expansion to meet current and future electric power demand.

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

    E-Print Network [OSTI]

    A uniform price auction with locational price adjustments for competitive electricity markets Price auction is an appropriate institution. However, an efficient implementation of this auction in an electricity context requires that the offers used in the auction reflect the appropriate locational price

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

    E-Print Network [OSTI]

    Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions R describes a framework for testing the efficacy of a price-responsive load on a uniform price last accepted offer and a soft-cap market. Experimental evidence to date based on uniform price market testing has

  20. Managing electricity reliability risk through the futures markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2000-10-01

    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.

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

    E-Print Network [OSTI]

    Darghouth, Naim

    2014-01-01

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

  2. 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

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

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

    the validity of the following statement: "the coincidence of high electric energy prices and peak solar electric photovoltaic (PV) output can improve the economics of PV...

  4. 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)

    2012-07-01

    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)

  5. 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

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-07

    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.

  7. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01

    beyond this becomes more elastic as usage increases. In the book "Innovative Electric, Rates," John Chamberlin and Charles Dickson utilize an economic model to test conservation programs. This model utilizes intrac1ass price elasticities and has a.... Utilities must rely on customer data and intuition to estimate customer response to rate changes. These methods have several downfalls. First, the customer data may not reflect customer behavior in an economic downturn. Second, the data may not exactly...

  8. Commitment of Electric Power Generators under Stochastic Market Prices

    E-Print Network [OSTI]

    Mazumdar, Mainak

    that when an electric power producer has the option of trading electricity at market prices, an optimal unitCommitment of Electric Power Generators under Stochastic Market Prices Jorge Valenzuela 1 November 2001 1 Corresponding author. #12;1 Commitment of Electric Power Generators under Stochastic Market

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

    E-Print Network [OSTI]

    Huang, Jianwei

    Competitive 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). Every PEV needs to select a charging station by con- sidering the charging prices, waiting times

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

    E-Print Network [OSTI]

    Fontana, Michelle

    2011-08-08

    commercial and industrial users of electricity pay prices that reflect the social cost of power at the time of consumption. This pricing mechanism is called “real-time pricing” (RTP) in electricity markets. I have access to a unique, new dataset of virtually...

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

    Broader source: Energy.gov [DOE]

    This volume details the end-use electricity demand and efficiency assumptions. The projection of electricity demand is an important consideration in determining the extent to which a predominantly renewable electricity future is feasible. Any scenario regarding future electricity use must consider many factors, including technological, sociological, demographic, political, and economic changes (e.g., the introduction of new energy-using devices; gains in energy efficiency and process improvements; changes in energy prices, income, and user behavior; population growth; and the potential for carbon mitigation).

  12. Optimal Production Planning under Time-sensitive Electricity Prices for

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    . The control actions, which balance the electricity supply and demand, differ on the time scale and usuallyOptimal Production Planning under Time-sensitive Electricity Prices for Continuous Power-dependent electricity pricing schemes. In this paper, we describe a deterministic MILP model that allows optimal

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

    E-Print Network [OSTI]

    Dane Schiro

    2015-03-19

    Mar 19, 2015 ... Convex Hull Pricing in Electricity Markets: Formulation, Analysis, and ... Citation: ISO New England, Holyoke, MA 01040 USA (March 2015).

  14. Multi-scaling of wholesale electricity prices

    E-Print Network [OSTI]

    Caravelli, Francesco; Ududec, Cozmin; Ashtari, Ali; Di Matteo, Tiziana; Aste, Tomaso

    2015-01-01

    We empirically analyze the most volatile component of the electricity price time series from two North-American wholesale electricity markets. We show that these time series exhibit fluctuations which are not described by a Brownian Motion, as they show multi-scaling, high Hurst exponents and sharp price movements. We use the generalized Hurst exponent (GHE, $H(q)$) to show that although these time-series have strong cyclical components, the fluctuations exhibit persistent behaviour, i.e., $H(q)>0.5$. We investigate the effectiveness of the GHE as a predictive tool in a simple linear forecasting model, and study the forecast error as a function of $H(q)$, with $q=1$ and $q=2$. Our results suggest that the GHE can be used as prediction tool for these time series when the Hurst exponent is dynamically evaluated on rolling time windows of size $\\approx 50 - 100$ hours. These results are also compared to the case in which the cyclical components have been subtracted from the time series, showing the importance of...

  15. POWER '99 Conference 1 Stochastic Models of Electricity Spot Price

    E-Print Network [OSTI]

    California at Berkeley. University of

    risks in wholesale and retail markets. · Asset valuation, project selection and financing. ­ Divestiture markets. POWER '99 Conference 4 Application (1): Derivative Pricing Examples: Call Option & Spark Spread electricity spot price spot price Power Marketer Transmission cost? COB: PCOB max( , )S K ST PV loss T COB

  16. Why did British electricity prices fall after 1998?

    E-Print Network [OSTI]

    Evans, Joanne

    2003-01-01

    In an attempt to reduce high electricity prices in England and Wales the government has reduced concentration among generators and introduced New Electricity Trading Arrangements (NETA). Econometric analysis on monthly ...

  17. Renewable Electricity Futures Study. Executive Summary

    SciTech Connect (OSTI)

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

    2012-12-01

    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).

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

    SciTech Connect (OSTI)

    Bolinger, Mark A.; Wiser, Ryan H.

    2010-01-04

    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.

  19. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

    A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat, Department, 2003 Abstract We introduce a discrete-time model for electricity prices, which accounts for both spikes and temperature effects. The model allows for different mean-reversion rates, one around spikes, and another

  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 Mellon University, U.S.A. October 14, 2003 Summary. We introduce a discrete-time model for electricity rates of mean-reversion: One for weather events, one around price jumps, and another for the remainder

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

    E-Print Network [OSTI]

    Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts ............................................................................................................................ 5 U.S. Natural Gas Commodity Prices

  2. Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony

    E-Print Network [OSTI]

    Wiser, Ryan

    2005-01-01

    present concerns about natural gas prices and the findingsEconomy (ACEEE). 2003. Natural Gas Price Effects of EnergyGas Crisis: Reducing Natural Gas Prices Through Electricity

  3. Renewable Electricity Futures Study Executive Summary

    Broader source: Energy.gov [DOE]

    The Renewable Electricity Futures Study (RE Futures) provides an analysis of the grid integration opportunities, challenges, and implications of high levels of renewable electricity generation for the U.S. electric system. The study is not a market or policy assessment. Rather, RE Futures examines renewable energy resources and many 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. RE Futures results indicate that a future U.S. electricity system that is largely powered by renewable sources is possible and that further work is warranted to investigate this clean generation pathway.

  4. Renewable Electricity Futures for the United States

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Renewable Electricity Futures Study (RE Futures) provides an analysis of the grid integration opportunities, challenges, and implications of high levels of renewable electricity generation for the U.S. electric system. The study is not a market or policy assessment. Rather, RE Futures examines renewable energy resources and many 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. RE Futures results indicate that a future U.S. electricity system that is largely powered by renewable sources is possible and that further work is warranted to investigate this clean generation pathway.

  5. Price distortions in the commodity futures markets

    E-Print Network [OSTI]

    Helfrich, Devin B

    2012-01-01

    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 ...

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

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01

    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...

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

    E-Print Network [OSTI]

    Parail, Vladimir

    Properties of Electricity Prices and the Drivers of Interconnector Revenue Vladimir Parail November 2010 CWPE 1059 & EPRG 1033 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract... Properties of Electricity Prices and the Drivers of Interconnector Revenue EPRG Working Paper 1033 Cambridge Working Paper in Economics 1059 Vladimir Parail This paper examines the drivers behind revenues of merchant electricity...

  8. When interest rates are stochastic, forward and futures prices are no longer theoretically identical.

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    Remarks · When interest rates are stochastic, forward and futures prices are no longer theoretically identical. ­ Suppose interest rates are uncertain and futures prices move in the same direction as interest rates. ­ Then futures prices will exceed forward prices. · For short-term contracts

  9. 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

    2014-04-14

    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.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06

    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.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19

    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.

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

    E-Print Network [OSTI]

    Jawitz, James W.

    for 2 Edison Electric Institute, "Typical Bills and Average Rates Report." The report is reproduced Addressing the Level of Florida's Electricity Prices Theodore Kury1 Public tenet of this step of the plan is to "address Florida's relatively expensive electricity costs so

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13

    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.

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

    E-Print Network [OSTI]

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

    2005-01-01

    index.html. Appendix A.1 Natural Gas Price Data for FuturesError STEO Error A.1 Natural Gas Price Data for Futuresof forecasts for natural gas prices as reported by the

  15. Dynamic interactions between electricity prices and the regional economy 

    E-Print Network [OSTI]

    Bethapudi, Daniel Naveen

    2005-08-29

    In this thesis we study characterize the dynamic relationships among two electricity price variables (residential and commercial) and six regional economic variables in order to examine each individual variable??s role in regional economic activity...

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

    E-Print Network [OSTI]

    Tam, C. S.

    1981-01-01

    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...

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

    E-Print Network [OSTI]

    Dane Schiro

    2015-05-01

    May 1, 2015 ... Since a majority of electricity market problems include transmission constraints and ... intervals, a meshed network with transmission constraints, losses, ...... Each current ISO pricing method is flexible in terms of mathematical ...

  18. Transmission Pricing Issues for Electricity Generation From Renewable Resources

    Reports and Publications (EIA)

    1999-01-01

    This article discusses how the resolution of transmission pricing issues which have arisen under the Federal Energy Regulatory Commission's (FERC) open access environment may affect the prospects for renewable-based electricity.

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

    SciTech Connect (OSTI)

    Hand, M. M.; Baldwin, S.; DeMeo, E.; Reilly, J. M.; Mai, T.; Arent, D.; Porro, G.; Meshek, M.; Sandor, D.

    2012-06-15

    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). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

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

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica 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 and couple the existing outlook of primary energy resources and the investment interest by the private sector

  1. Retail risk management pricing electricity to manage customer risk

    SciTech Connect (OSTI)

    Mauldin, M.G.

    1997-06-01

    In the environment of direct customer access and supplier choice that is coming, experience teaches that customers will value the opportunity to control their price risk in a variety of ways. Suppliers that are sensitive to this desire and the varied ways of meeting it will have a distinct advantage. Large electricity customers are clearly awaiting the day the monopoly floodgates open because they believe cheap electricity from alternate suppliers will become available to them. But access and choice will mean more to utility retail customers than just the potential availability of low cost power. It will mean that customers will have the purchasing power to demand exactly what they want from their electricity provider. Some customers will want the lowest cost power available, which may mean that they purchase directly from the spot market. Others will want to use their new-found clout to purchase power of a certain guaranteed quality or reliability level, or to purchase on a pricing plan that fits their needs. For instance, business customers that sell goods under fixed price contracts may want to purchase electricity at a price that is fixed for a certain period - perhaps a quarter of a year. This article focuses on products that protect customers from the price risk they would face if they purchased directly from the spot market. First, it will address examples of products that are used to protect against price risk in the gas market, because these products indicate the type of offerings that may help electric customers manage price risks. Next, the article will highlight findings on desires of customers in the electricity market, and provide an overview of utility tariffs that can help customers control their price risk. Finally, it will discuss approaches that can be used to price these retail risk management products.

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

    SciTech Connect (OSTI)

    Darghouth, Naim; Barbose, Galen; Wiser, Ryan

    2013-01-09

    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.

  3. SOLAR ENERGY AND OUR ELECTRICITY FUTURE

    E-Print Network [OSTI]

    SOLAR ENERGY AND OUR ELECTRICITY FUTURE Sandia is a multiprogram laboratory operated by Sandia Solar Power (CSP) #12;Solar Energy Fun Facts More energy from sunlight strikes the Earth in one hour Solar energy is the only long-term option capable of meeting the energy (electricity and transportation

  4. 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.

    2012-06-01

    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).

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

    SciTech Connect (OSTI)

    1998-02-01

    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 2008 Natural Gas Price Forecast to NYMEX Futures Prices

    SciTech Connect (OSTI)

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

    2008-01-07

    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.

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

    Open Energy Info (EERE)

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

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

    E-Print Network [OSTI]

    Afanador Delgado, Catalina

    2006-10-30

    to February 28, 2006, purchasing electricity on the tiered price would have cost $13,810,560. The forward contract, that is, purchasing electricity on a fixed rate, was the next cheapest with an energy cost of $14,266,870 from March 1, 2005 to February 28...

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

    E-Print Network [OSTI]

    Grubb, Michael; Newbery, David

    In this paper, which forms a chapter in the forthcoming Book �Delivering a Low Carbon Electricity System: Technologies, Economics and Policy�, Grubb and Newbery examine how carbon for electricity generation should be priced. They begin...

  10. ArizonaArizona''s Electricity Future:s Electricity Future: The Demand for WaterThe Demand for Water

    E-Print Network [OSTI]

    Keller, Arturo A.

    ArizonaArizona''s Electricity Future:s Electricity Future: The Demand for WaterThe Demand for Water'' projected energy demandprojected energy demand 317 1,281 257 511 5,506 1,989 0 1,000 2,000 3,000 4,000 5

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-01-28

    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.

  12. Influence of Spikes in the Short-term Electricity Price Forecasting

    E-Print Network [OSTI]

    Friedl, Herwig

    Influence of Spikes in the Short-term Electricity Price Forecasting Vika Koban, Milos Pantos of electricity price under normal conditions with the spike time series caused by extreme conditions in order to obtain a better forecast of the spot price. Short term electricity price forecasting has become

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

    E-Print Network [OSTI]

    Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts Electricity prices in the Council's Power Plan are forecast using the AURORATM Electricity Market Model of the entire prices at several pricing points in the West, four of which are in the Pacific Northwest. The one most

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

    E-Print Network [OSTI]

    Mendjoge, Ashish V

    2004-09-30

    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...

  15. Can the Bond Price Reaction to Earnings Announcements Predict Future Stock Returns?

    E-Print Network [OSTI]

    Tipple, Brett

    Can the Bond Price Reaction to Earnings Announcements Predict Future Stock Returns? Omri Even. #12;Abstract In this paper I show that the bond price reaction to earnings announcements has. By demonstrating that a firm's bond price reaction to an earnings announcement can predict future stock returns

  16. Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    inputs: electricity prices, demand data, configuration slates · Each representative week is repeated1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly

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

    E-Print Network [OSTI]

    Huo, Xiaoming

    IEEE 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 results using historical price data taken from the Eastern U.S. electric power markets. Index Terms--Electricity

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    approach to evaluating price risk would be to use suchthe base-case natural gas price forecast, but to alsorange of different plausible price projections, using either

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    Comparison of AEO 2008 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

    Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

  4. Price Electric Coop Inc | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on QA:QA J-E-1 SECTION J APPENDIXsourceII JumpQuarterly SmartDB-2, BluePoulsen Hybrid,Areas-WindInformationPrice

  5. Electricity pricing for conservation and load shifting

    SciTech Connect (OSTI)

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

    2010-04-15

    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)

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

    E-Print Network [OSTI]

    Kolstad, Jonathan; Wolak, Frank

    2003-01-01

    Restructured Wholesale Electricity Market, American Economic2001) “California’s Electricity Market,” April, availableIn California's Wholesale Electricity Market During Summer

  7. Negotiation-Based Task Scheduling to Minimize User's Electricity Bills under Dynamic Energy Prices

    E-Print Network [OSTI]

    Pedram, Massoud

    Negotiation-Based Task Scheduling to Minimize User's Electricity Bills under Dynamic Energy Prices}@usc.edu Abstract--Dynamic energy pricing is a promising technique in the Smart Grid that incentivizes energy to minimize the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price

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

    E-Print Network [OSTI]

    Hirche, Sandra

    Analysis of Competitive Electricity Markets under a New Model of Real-Time Retail Pricing with Ex loop system. Under this pricing mechanism, electricity is priced at the exant´e price (calculated based, dahleh, mitter}@mit.edu Siemens Corporate Technology, Munich, Germany dragan

  9. Why did British Electricity Prices Fall after 1998?

    E-Print Network [OSTI]

    Evans, Joanne; Green, Richard J.

    2004-06-16

    index, at the time that the rules changed. Using a static model of the market for a non-storable commodity, we would not expect a spillover from a future change in market rules to current prices. On this basis, a dummy variable set to 1 from April...

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01

    for the electrical energy they consume would eliminate theconsume disproportionately at times when the retail price of the energy

  11. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01

    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...

  12. 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)

    1997-08-01

    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.

  13. 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

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

    E-Print Network [OSTI]

    A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell to as a dynamic supply-demand model, to simultaneously capture electricity price and usage time series. This model, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle

  15. Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets Jian Yao1, Bert Willems2 compare two alternative mechanisms for cap- ping prices in two-settlement electricity markets. Alternatively, regulators in many restructured electricity markets have imposed price or offer caps in the spot

  16. Short Term Electricity Price Forecasting in the Nordic Region Anders Lund Eriksrud

    E-Print Network [OSTI]

    Lavaei, Javad

    Short Term Electricity Price Forecasting in the Nordic Region Anders Lund Eriksrud May 11, 2014 Abstract This paper presents a survey of electricity price forecasting for the Nordic region, and performs that time series models more appropriate for forecasting electricity prices, compared to machine learning

  17. 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.

    2008-01-01

    Energy and Demand Prices . . . . . . . . . . . . . . . . . . . . . .US DOE 1999. Marginal Energy Prices Report U.S. Departmentmarginal price Marginal energy price in cper kwh Marginal

  18. Electric Energy Challenges of the Future Future Grid Thrust Area 1 White Paper

    E-Print Network [OSTI]

    Electric Energy Challenges of the Future Future Grid Thrust Area 1 White Paper Power Systems Engineering Research Center Empowering Minds to Engineer the Future Electric Energy System #12;Thrust Area 1 White Paper Electric Energy Challenges of the Future Project Team Gerald T. Heydt, Kory Hedman Arizona

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    renewables can provide price certainty over longer terms. In6 This additiona l level of price discovery in longer-datedreplicate the long-term price stability that renewables can

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

    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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    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.

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01

    revisions to the EIA’s natural gas price forecasts in AEOon the AEO 2005 natural gas price forecasts will likely onceComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01

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

  11. 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@tum.de Abstract--In this paper, we propose a new real-time retail pricing model characterized by ex and robustness properties than pure exant´e pricing. Index Terms--Real-Time Pricing, Market Stability, Economic

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

    E-Print Network [OSTI]

    Carmona, Rene

    A 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 focus on the important role of other energy prices and fundamental factors in setting the power price

  13. 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

  14. ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET

    E-Print Network [OSTI]

    California at Berkeley. University of

    .3 Retail Markets 9 2.4 Generating Plants 10 2.5 Storage, Generation, Price and Trade Patterns 14 3. SupplyPWP-063 ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET Tor Arnt Johnsen.ucei.berkeley.edu/ucei #12;ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET Tor Arnt Johnsen, Shashi

  15. ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS AND THE IMPLICATIONS FOR OPTION VALUES

    E-Print Network [OSTI]

    Draft 1e ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS depends critically on the specification and estimation of the stochastic process that describes the price path. Accurate valuation of claims based on competitive electricity prices has proved problematic

  16. 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) 23 October 2008 Abstract We develop a fundamental model for spot electricity prices, based on stochastic processes for underlying factors (fuel prices, power demand and generation capacity availability

  17. Experimental Evidence about the Persistence of High Prices in a Soft-Cap Auction for Electricity

    E-Print Network [OSTI]

    Experimental Evidence about the Persistence of High Prices in a Soft-Cap Auction for Electricity 1 and Management Cornell University I. Introduction The high prices for electricity in California during the summer of 2000 led to a substantial amount of regulatory and political intervention. Price caps were lowered

  18. 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. In this paper we propose a new and highly tractable structural approach to spot price modeling and derivative pricing in electricity markets, thus extending the growing branch of liter- ature which describes power

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

    E-Print Network [OSTI]

    Boyer, Edmond

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 13, 2010 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

  20. 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

  1. 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 and Retail Electricity Tariffs in Australia.1 By Phillip Wild, School of Economics, The University of Corporate Affairs at our Industry Partner, AGL Energy Ltd, for his advice and contributions throughout

  2. 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

  3. 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 ...

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

    SciTech Connect (OSTI)

    Kim, Joyce Jihyun; Kiliccote, Sila

    2012-06-01

    In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01

    or other forms of generation whose costs are not tied to thethe levelized costs of fixed-price renewable generation withthe cost of fixed-price renewable generation be compared to

  6. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15

    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)

  7. 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 Channing Way Berkeley, California 94720-5180 www.ucei.berkeley.edu/ucei #12;Electricity Transmission optimal prices for electricity transmission. These are rarely applied in practice. This paper develops

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

    E-Print Network [OSTI]

    Pedram, Massoud

    advocating that "residential electricity prices must be based on time of use" to fully enable smart gridMinimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model Safar Hatami and Massoud Pedram University of Southern California Department of Electrical Engineering

  9. 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 amounts of electric power, which lead to high operational costs of cloud service providers. Reducing cloud environment by incorporating the diversity of time-varying electricity prices in different regions

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

    E-Print Network [OSTI]

    Optimal Bidding Strategy in Electricity Markets Under Uncertain Energy and Reserve Prices Power in Electricity Markets Under Uncertain Energy and Reserve Prices Rajesh Rajaraman Christensen Associates Fernando this project For information about this project contact: Fernando Alvarado Professor Electrical and Computer

  11. 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.

    2013-04-01

    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.

  12. 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

  13. Renewable Electricity Futures: Operational Analysis of the Western...

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

    of integrating large amounts of renewable electricity generation into the U.S. power system (Mai et al. 2012). RE Futures examined renewable energy resources, technical issues...

  14. Probabilities of Possible Future Prices (Released in the STEO April 2010)

    Reports and Publications (EIA)

    2010-01-01

    The Energy Information Administration introduced a monthly analysis of energy price volatility and forecast uncertainty in the October 2009 Short-Term Energy Outlook (STEO). Included in the analysis were charts portraying confidence intervals around the New York Mercantile Exchange (NYMEX) futures prices of West Texas Intermediate (equivalent to light sweet crude oil) and Henry Hub natural gas contracts.

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

    E-Print Network [OSTI]

    Fritsch, Roger Erwin

    1997-01-01

    Daily Standard & Poor's 500 stock index cash and futures prices are studies in a cointegration framework using Johansen's maximum likelihood procedure. To account for the time varying relationship(basis) between the two ...

  16. Past, present and future evolution of oil prices

    E-Print Network [OSTI]

    Corsetti, Manuel

    2010-01-01

    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 ...

  17. Household Response To Dynamic Pricing Of Electricity: A Survey...

    Open Energy Info (EERE)

    and Canada. The report suggests conclusive evidence that households respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as...

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    becomes profitable, UDCs might use their distribution assets to stifle competition in the retail marketPWP-066 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl;1 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl Blumstein1 August

  19. Renewable Electricity Futures Study. Volume 3. End-Use Electricity Demand

    SciTech Connect (OSTI)

    Hostick, Donna; Belzer, David B.; Hadley, Stanton W.; Markel, Tony; Marnay, Chris; Kintner-Meyer, Michael

    2012-06-15

    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). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

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

    SciTech Connect (OSTI)

    Milligan, Michael; Ela, Erik; Hein, Jeff; Schneider, Thomas; Brinkman, Gregory; Denholm, Paul

    2012-06-15

    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). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

  1. Renewable Electricity Futures Study. Volume 2. Renewable Electricity Generation and Storage Technologies

    SciTech Connect (OSTI)

    Augustine, Chad; Bain, Richard; Chapman, Jamie; Denholm, Paul; Drury, Easan; Hall, Douglas G.; Lantz, Eric; Margolis, Robert; Thresher, Robert; Sandor, Debra; Bishop, Norman A.; Brown, Stephen R.; Felker, Fort; Fernandez, Steven J.; Goodrich, Alan C.; Hagerman, George; Heath, Garvin; O'Neil, Sean; Paquette, Joshua; Tegen, Suzanne; Young, Katherine

    2012-06-15

    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). Learn more at the RE Futures website. http://www.nrel.gov/analysis/re_futures/

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

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    -sensi%ve Electricity Prices Summary In this case study, a CHP plant increases its profit accounts for variability in electricity prices. Sumit Mitra, Center for Advanced. Ignacio E. Grossmann Joint work with Lige Sun, RWTH Aachen University, Germany 1

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

    E-Print Network [OSTI]

    Borenstein, Severin

    1999-01-01

    Power in Wholesale Electricity Markets Severin Borensteincompetition, electricity markets Abstract: Discussions ofin restructured electricity markets have revealed many

  4. 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.

    2012-06-01

    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).

  5. 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.

    2012-06-01

    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).

  6. 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.

    2012-06-01

    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).

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    The Renewable Electricity Futures Study (RE Futures) is an initial investigation of the extent to which renewable energy supply can meet the electricity demands of the contiguous United States1 over the next several decades. This study includes geographic and electric system operation resolution that is unprecedented for long-term studies of the U.S. electric sector. The analysis examines the implications and challenges of renewable electricity generation levels—from 30% up to 90%, with a focus on 80%, of all U.S. electricity generation from renewable technologies—in 2050. The study focuses on some key technical implications of this environment, exploring whether the U.S. power system can supply electricity to meet customer demand with high levels of renewable electricity, including variable wind and solar generation. The study also begins to address the potential economic, environmental, and social implications of deploying and integrating high levels of renewable electricity in the United States.

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

    E-Print Network [OSTI]

    Darghouth, Naim

    2014-01-01

    the amount of future renewable energy (RE) deployment is notFuture Electricity Market Conditions Prepared for the Office of Energy Efficiency and Renewablefuture changes. For example, higher penetrations of renewable energy

  9. Electrical ship demand modeling for future generation warships

    E-Print Network [OSTI]

    Sievenpiper, Bartholomew J. (Bartholomew Jay)

    2013-01-01

    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 ...

  10. 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

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

    E-Print Network [OSTI]

    Scott, Christopher

    metering & consumption based electricity tariff o Objectives, approach & methods used in 3-location study o2/22/11 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

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

    E-Print Network [OSTI]

    Tsitsiklis, John

    in Electricity Markets 2 to the deployment of peaking plants with higher ramping rates but higher marginal costPricing of Fluctuations in Electricity Markets John N. Tsitsiklis and Yunjian Xu Laboratory or Information and Decision Systems, MIT, Cambridge, MA, 02139, {jnt@mit.edu, yunjian@mit.edu} In an electric

  13. 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

  14. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01

    residential peak-load electricity rate structures. Journalefficiency efforts. Keywords: electricity rates, residentialmust suffer higher electricity rates to pay for the bill

  15. Equity Effects of Increasing-Block Electricity Pricing

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01

    of increasing-block electricity rate schedules in the Unitedfrom the analysis of electricity rates, this approach toBlock Residential Electricity Rates in California The

  16. Price-elastic demand in deregulated electricity markets

    E-Print Network [OSTI]

    Siddiqui, Afzal S.

    2003-01-01

    in Competitive Electricity Markets," Ph. D. thesis, IEORrms trading in the electricity markets and their degree ofThe Trouble With Electricity Markets and Califor- nia's

  17. Equity Effects of Increasing-Block Electricity Pricing

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01

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

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

    E-Print Network [OSTI]

    Connolly, Jeremiah P. (Jeremiah Peter)

    2008-01-01

    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 ...

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

    E-Print Network [OSTI]

    Obradovic, Zoran

    of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectivenessTime Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box

  20. Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key

    Broader source: Energy.gov [DOE]

    November/December 2010 surveys of 1,716 drivers and 123 automobile industry executives indicate that both groups believe a low electric vehicle price would motivate consumers to switch from a...

  1. Electricity transmission pricing : how much does it cost to get it wrong?

    E-Print Network [OSTI]

    Green, Richard

    2004-01-01

    Economists know how to calculate optimal prices for electricity transmission. These are rarely applied in practice. This paper develops a thirteen node model of the transmission system in England and Wales, incorporating ...

  2. New Electricity Technologies for a Sustainable Future

    E-Print Network [OSTI]

    Jamasb, Tooraj; Nuttall, William J.; Pollitt, Michael G.

    2006-03-14

    . The role of wind speed and wind resource intermittency is discussed in the context of wind power technologies and the economics of this form of electricity generation. The paper stresses the recent emphasis on offshore wind farms with anticipated power... costs for a 3MW offshore turbine predicted to be 4.2 c€/kWh. This will be somewhat higher than the equivalent cost for onshore wind power production of 2.4 –3.0 c€/kWh. In such circumstances it is argued that onshore wind power will certainly...

  3. 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

    2008-05-01

    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.

  4. 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

  5. Perspectives on the future of the electric utility industry

    SciTech Connect (OSTI)

    Tonn, B.; Schaffhauser, A.

    1994-04-01

    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.

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

    E-Print Network [OSTI]

    Martin, Alexander; Pokutta, Sebastian

    2012-01-01

    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.

  7. Equity Effects of Increasing-Block Electricity Pricing

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01

    Kuester King. “ Residential Demand for Electricity underEvidence from Residential Electricity Demand,” Review ofChoice Approach to Residential Water Demand under Block Rate

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

    E-Print Network [OSTI]

    de Weck, Olivier L.

    States and France have reminded us that the fuel prices (natural gas), and adequate river flows (for generation might be done to maximize the emissions savings from displaced fossil. Since the Mideast oils efficiency in a broader context. Redefining Energy Efficiency Historically, energy efficiency has been almost

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

    E-Print Network [OSTI]

    de Weerdt, Mathijs

    for precisely controlling the real-time balance in electricity markets, where retail brokers aggregate of their retail customer loads and sources. We enumerate the desirable properties of a market-based balancingPricing mechanism for real-time balancing in regional electricity markets Mathijs de Weerdt

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

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

    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...

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    and fall 2000. The incumbent utilities were required to purchase power at high wholesale prices and to sell, the organized market broke down, and the state government was required to step in to purchase power. Market of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy

  12. Negotiation-Based Task Scheduling and Storage Control Algorithm to Minimize User's Electric Bills under Dynamic Prices

    E-Print Network [OSTI]

    Pedram, Massoud

    , snazaria, pedram}@usc.edu Abstract--Dynamic energy pricing is a promising technique in the Smart Grid the electricity bill. A general type of dynamic pricing scenario is assumed where the energy price is both time-based iterative approach has been proposed for joint residential task scheduling and energy storage control

  13. 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 University e-mail: tdm2@cornell.edu Abstract Earlier research has shown that the behavior of spot prices. This model captures the observed price spikes that occur in these markets, particularly during the summer

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price toStocks 2009CubicAnalysisYear Jana. Coal Coal

  15. Electricity Prices in Transition (released in AEO2007)

    Reports and Publications (EIA)

    2007-01-01

    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.

  16. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    , 2009 Energy & Operations 2 #12;Electricity usage · Contracts between electricity supplier and plants Harjunkoski Ignacio E. Grossmann Lisbon, Portugal; Ladenburg, Germany; Pittsburgh, USA EWO Meeting March 10 dates for each product) · Minimize total energy cost ­ Meet power availability constraints November 11

  17. 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

    2006-01-01

    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 ...

  18. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  19. Prices

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  20. Prices

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

    Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  1. Prices

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

    Information AdministrationPetroleum Marketing Annual 2002 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

  2. Automatic control of electric thermal storage (heat) under real-time pricing. Final report

    SciTech Connect (OSTI)

    Daryanian, B.; Tabors, R.D.; Bohn, R.E. [Tabors Caramanis and Associates, Inc. (United States)

    1995-01-01

    Real-time pricing (RTP) can be used by electric utilities as a control signal for responsive demand-side management (DSM) programs. Electric thermal storage (ETS) systems in buildings provide the inherent flexibility needed to take advantage of variations in prices. Under RTP, optimal performance for ETS operations is achieved under market conditions where reductions in customers` costs coincide with the lowering of the cost of service for electric utilities. The RTP signal conveys the time-varying actual marginal cost of the electric service to customers. The RTP rate is a combination of various cost components, including marginal generation fuel and maintenance costs, marginal costs of transmission and distribution losses, and marginal quality of supply and transmission costs. This report describes the results of an experiment in automatic control of heat storage systems under RTP during the winter seasons of 1989--90 and 1990--91.

  3. Real-Time Pricing of Electricity: An Assessment 

    E-Print Network [OSTI]

    Baughman, M. L.; Zarnikau, J.

    1989-01-01

    Increasing competitive pressures, advances in technology, interest in deregulation, new planning strategies, and dissatisfaction with present rate designs have encouraged the recent development of a number of new electric rate design schemes...

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price toStocks 2009CubicAnalysisYear Jana. Coal Coal Production,Shalea.

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass mapSpeeding access| DepartmentPeer Review Policies Basic EnergyPrice (Dollarsper

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming Dry NaturalPrices1Markets 9,Why Report VoluntaryEffects

  7. Electricity price impacts of alternative Greenhouse gas emission cap-and-trade programs

    SciTech Connect (OSTI)

    Edelston, Bruce; Armstrong, Dave; Kirsch, Laurence D.; Morey, Mathew J.

    2009-07-15

    Limits on greenhouse gas emissions would raise the prices of the goods and services that require such emissions for their production, including electricity. Looking at a variety of emission limit cases and scenarios for selling or allocating allowances to load-serving entities, the authors estimate how the burden of greenhouse gas limits are likely to be distributed among electricity consumers in different states. (author)

  8. 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

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

    E-Print Network [OSTI]

    IEEE TRANSACTIONS ON POWER SYSTEMS, CHEN, DENG AND HUO. 1 Electricity Price Curve Modeling by Manifold Learning Jie Chen, Student Member, IEEE, Shi-Jie Deng, Senior Member, IEEE, and Xiaoming Huo, Senior Member, IEEE Abstract-- This paper proposes a novel non-parametric ap- proach for the analysis

  10. Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets

    E-Print Network [OSTI]

    of California Energy Institute 4135 Etcheverry Hall 2547 Channing Way University of California at Berkeley-- We compare two alternative mechanisms for cap- ping prices in two-settlement electricity markets explore the implications of the two alternative mechanisms in a two settlement Cournot equilibrium

  11. Implications of Lower Natural Gas Prices for Electric Generators in the Southeast, The

    Reports and Publications (EIA)

    2009-01-01

    This supplement to the Energy Information Administration's (EIA) May 2009 Short-Term Energy Outlook (STEO) focuses on changes in the utilization of coal- and natural-gas-fired generation capacity in the electric utility sector as the differential between delivered fuel prices narrows.

  12. Two-Settlement Electric Power Markets with Dynamic-Price Contracts

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Two-Settlement Electric Power Markets with Dynamic-Price Contracts 27 July 2011 IEEE PES GM: Personnel from PNNL/DOE, XM, RTE, MEC, & MISO IRW Project:IRW Project: Integrated Retail/Wholesale PowerIntegrated Retail/Wholesale Power System Operation with SmartSystem Operation with Smart--Grid Functionality

  13. Pricing Bilateral Electricity Trade between Smart Grids and Hybrid Green Datacenters

    E-Print Network [OSTI]

    Li, Zongpeng

    of such distributed generation. For example, the enormous wind generation in Germany in May 2014 resulted energy sources. This work considers two key aspects towards realtime electricity pricing for elicit- ing of view. At the cloud side, in quest for performance, scalability and robustness, the energy cost

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

    SciTech Connect (OSTI)

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

    2012-12-01

    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.

  15. Integration of fluctuating energy by electricity price control

    E-Print Network [OSTI]

    in the coming years. Electricity generation will increasingly rely on wind energy, and consumption will adapt that the social net cost of setting up a Smart Grid is DKK 1.6 billion in contrast to the DKK 7.7 billion and the ideas behind it would not have seen the light without our supervisor, Henrik Madsen, who supported us

  16. 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

    2009-06-02

    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 ...

  17. 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.; Rijk, G. de

    2014-01-27

    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.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price toStocks 2009CubicAnalysisYear Jana. Coal Prices to Electric

  19. 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

  20. Managing electricity reliability risk through the futures markets

    E-Print Network [OSTI]

    Siddiqui, Afzal S.

    2000-01-01

    rms trading in the electricity markets n 1 and their degreeDesigning Competitive Electricity Markets , edited by H.P.Market Power in Electricity Markets: Beyond Concentration

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

    E-Print Network [OSTI]

    Scott, Allen J.

    1993-01-01

    the production of electric vehicle componentswill result an1992. "Hot Sales of Electric Vehicles." p. El. Sharpe, W. ,1992. "Battery and Electric Vehicle Update." September1992.

  2. Electronic copy available at: http://ssrn.com/abstract=2046853 Can Agent-Based Models Forecast Spot Prices in Electricity Markets? Evidence from the New

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Spot Prices in Electricity Markets? Evidence from the New Zealand Electricity Market David Young1 , Stephen Poletti2 , Oliver Browne2 24th January 2012 Abstract Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and flow

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

    E-Print Network [OSTI]

    Eto, Joseph; Stovall, John P.

    2003-01-01

    The Future of Electric Transmission in the United States.Environmental Impacts of Electric Transmission In order toTransmission R&D Planning Underwater application of electric

  4. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    varying wireless network capacities, electricity prices,electricity price, avail- able renewable energy supply, wireless

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

    E-Print Network [OSTI]

    Delaware, University of

    2004-01-01

    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

  6. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7Cubicthroughthe PriceThousand CubicThousandCubic53.6 53.3 49.368.7

  7. 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)

    2010-01-01

    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 ...

  8. 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.

    2011-04-18

    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.

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand CubicResourcelogoFeet) Deliveries to ElectricPriceThousand

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

    E-Print Network [OSTI]

    Scott, Allen J.

    1993-01-01

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

  11. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01

    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 ...

  12. 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.

    1995-02-01

    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.

  13. 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.

    1994-04-01

    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.

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

    E-Print Network [OSTI]

    Darghouth, Naim

    2014-01-01

    adequacy in competitive electricity markets. Electricityadequacy in the competitive electricity market environment.payments in imperfect electricity markets: Need and design.

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

    E-Print Network [OSTI]

    Preventing Future Blackouts by Means of Enhanced Electric Power Systems Control: From Complexity that re- semble the blackout of August 2003. Also, the potential for efficient use of the resources during--Advanced control, complex large-scale dynamical systems, electric power blackouts, electricity restructuring

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

    E-Print Network [OSTI]

    Bahrami, Majid

    Overview of current and future energy storage technologies for electric power applications Ioannis September 2008 Keywords: Power generation Distributed generation Energy storage Electricity storage A B energy sources (RES). The extensive use of such energy sources in today's electricity networks can

  17. 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 ...

  18. Behavioral Aspects in Simulating the Future US Building Energy Demand

    E-Print Network [OSTI]

    Stadler, Michael

    2011-01-01

    increase to parameter Natural gas price Electricity priceparameter GDP Population Natural gas price Electricity pricethe elasticities of Natural gas price this Electricity price

  19. 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.

    2004-07-01

    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.

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

    SciTech Connect (OSTI)

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

    2013-03-01

    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.

  1. 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 turbines. This second effect is the primary use of the fuel price forecast for the Council's Fifth Power

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

    E-Print Network [OSTI]

    ) problem where future thermal demand and electricity prices are predicted. The proposed method uses show that significant cost reduction can be obtained. I. INTRODUCTION Cutting peak electricity demand for the next day is defined taking account of thermal demand for the TES system and electricity prices

  3. When is a Pay-as Bid Preferable to Uniform Price in Electricity Markets. Shmuel Oren

    E-Print Network [OSTI]

    Oren, Shmuel S.

    is undesirable since it may also suppress demand response when possible. Nevertheless reduced price volatility

  4. Envisioning a Renewable Electricity Future for the United States

    Broader source: Energy.gov [DOE]

    This paper presents high renewable electricity penetration scenarios in the United States using detailed capacity expansion modeling that is designed to properly account for the variability and uncertainty of wind and solar resources. The scenarios focus solely on the electricity system, an important sector within the larger energy sector, and demonstrate long-term visions of a U.S. power system where renewable technologies, including biomass, geothermal, hydropower, solar, and wind, contribute 80% of 2050 annual electricity, including 49–55% from wind and solar photovoltaic generation. We also present the integration challenges of achieving this high penetration and characterize the options to increase grid flexibility to manage variability.

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

    E-Print Network [OSTI]

    Sandiford, Mike

    -front cost, and this is particularly the case for renewables such as solar photo- voltaic (PV). On a levelised cost basis, solar PV is currently an expensive way to produce electricity. However, solar PV has.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

  6. 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

    2011-08-16

    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.

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

    E-Print Network [OSTI]

    large-scale penetration of Renewable and Alternative Energy technologies Maintain U.S. Electric PowerPreparing 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

  8. Does Nova Scotia have an electric future? Response to

    E-Print Network [OSTI]

    Hughes, Larry

    and radical changes in energy markets (IEA, 2007a; NPC, 2007). The cost and availability of crude oil, and electricity (IEA, 2007b). Jurisdictions that rely on supplies of crude oil, coal, and natural gas will be particularly vulnerable to cost increases and supply shortfalls (IEA, 2007b). One such jurisdiction is Nova

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

    E-Print Network [OSTI]

    McNerney, James; Farmer, J Doyne

    2010-01-01

    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...

  10. Analysis of Future Prices and Markets for High Temperature Superconductors ENERGY SAVINGS IN HTS DEVICES

    E-Print Network [OSTI]

    Category HTS tape required (km)* Energy Saved, % of total energy entering device Cryogenic capital cost) and prices, the capital cost is roughly $60 per watt removed from the cold end. Hopefully, that capital cost of each device. The incremental capital cost is the cost over and above that of cryogenics and HTS wire

  11. Decision-Making for High Renewable Electricity Futures in the United States

    Office of Energy Efficiency and Renewable Energy (EERE)

    This short Report Review highlights aspects of policy, regulation, finance, markets and operations that can help enable high penetration renewable energy electricity generation futures. It uses analytical results from the NREL Renewable Electricity Futures (REF) Study as a basis for discussion. As technical issues have been shown not to be key impediments for this pathway at the hourly level for the bulk system, we focus on other aspects of public and private decision-making. We conclude by describing how the REF might inform future research and development by the scientific community.

  12. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),the Predictive Accuracy of Crude Oil Futures Prices,” EnergyFigure 3. Price of crude oil contract maturing December of

  13. MEAN-RISK OPTIMIZATION MODELS FOR ELECTRICITY PORTFOLIO MANAGEMENT 1 Mean-risk optimization models for electricity

    E-Print Network [OSTI]

    Römisch, Werner

    the model via uncertain electricity demand, heat demand, spot prices, and future prices. The objectiveMEAN-RISK OPTIMIZATION MODELS FOR ELECTRICITY PORTFOLIO MANAGEMENT 1 Mean-risk optimization models for electricity portfolio management Andreas Eichhorn and Werner R¨omisch Abstract-- The possibility

  14. Mean-Risk Optimization of Electricity Portfolios Using Multiperiod Polyhedral Risk Measures

    E-Print Network [OSTI]

    Römisch, Werner

    to satisfy a stochastic electricity demand: electricity spot market, two different types of supply contracts. Stochasticity enters the model via uncertain electricity demand, heat demand, spot prices, and future prices to the requirements of a typical Germnan municipal power utility, which has to serve an electricity demand and a heat

  15. Nuclear electric propulsion for future NASA space science missions

    SciTech Connect (OSTI)

    Yen, Chen-wan L.

    1993-07-20

    This study has been made to assess the needs, potential benefits and the applicability of early (circa year 2000) Nuclear Electric Propulsion (NEP) technology in conducting NASA science missions. The study goals are: to obtain the performance characteristics of near term NEP technologies; to measure the performance potential of NEP for important OSSA missions; to compare NEP performance with that of conventional chemical propulsion; to identify key NEP system requirements; to clarify and depict the degree of importance NEP might have in advancing NASA space science goals; and to disseminate the results in a format useful to both NEP users and technology developers. This is a mission performance study and precludes investigations of multitudes of new mission operation and systems design issues attendant in a NEP flight.

  16. 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]

    ) is concerned with variable electricity tariffs, where the price of electricity changes over time depending on the demand. It is important to large scale electricity consumers in manufacturing and service industries tasks, the resource limit constraints, and the manpower. The goal of this project is to implement

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01

    months when buildings' electricity demand is also high dueoptimize buildings' electricity demand according to hourlymonths when buildings' electricity demand is also high due

  18. Investment Efficiency in Competitive Electricity Markets With and Without Time-Varying Retail Prices

    E-Print Network [OSTI]

    Borenstein, Severin; Holland, Stephen P.

    2002-01-01

    and Demand Response in Electricity Markets, October 2002.Kleit. “Metering in Electricity Markets: Should It Be En-in Competitive Electricity Markets With and Without Time-

  19. On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices

    E-Print Network [OSTI]

    Borenstein, Severin; Holland, Stephen P.

    2003-01-01

    Andrew Kleit, “Metering in Electricity Markets: When is Moreand De- mand Response in Electricity Markets, October 2002.of Competitive Electricity Markets With Time-Invariant

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01

    and Demand Response in Electricity Markets." University ofDemand Response in Electricity Markets and Recommendationsof Wholesale Electricity Markets for NYC in Summer

  1. Spot pricing of electricity and ancillary services in a competitive California market.

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Marnay, Chris; Khavkin, Mark

    2000-01-01

    Designing Competitive Electricity Markets , edited by H.P.Deregulated Wholesale Electricity Market," POWER Workingin competitive electricity markets, the verti- cally

  2. The Distributional and Environmental Effects of Time-Varying Prices in Competitive Electricity Markets

    E-Print Network [OSTI]

    Holland, Stephen P.; MANSUR, ERIN T

    2005-01-01

    Wholesale Electricity Market,” American Economic Review,of Competitive Electricity Markets With Time-Invariantand Demand Response in Electricity Markets, October 2002.

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

    E-Print Network [OSTI]

    Haszeldine, Stuart

    Projections (UEP) [1] show a decrease over the next two decades, but at a reduced rate compared to the 1990's represent electricity supplies with no (historically) or low (UEP projections) UK CO2 reduction targets of alternative options to deliver at a lower price. Additional costs for the 'decarbonised electricity' options

  4. On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices

    E-Print Network [OSTI]

    Borenstein, Severin; Holland, Stephen P.

    2003-01-01

    homogeneous product in the retail market, and P would facein wholesale and retail markets Equilibrium prices in thecompetitive investment and retail markets would attain the

  5. Notes on the pricing of electric power From Jim Blair, for Tuesday May 19, 2015.

    E-Print Network [OSTI]

    Sprott, Julien Clinton

    , (Tesla) home battery (Li-ion or Pb-acid?) C- MG&E's recent change in price structure, and how it changes

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

    E-Print Network [OSTI]

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

    2005-01-01

    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

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01

    electricity markets by creating a link between wholesale and retail markets (electricity markets by creating a link between wholesale and retail markets (electricity supply (KEMA 2012). While such trend stimulates the growth of a competitive retail market,

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01

    Advanced Metering, and Demand Response in Electricity2006. Benefits of Demand Response in Electricity Markets and2010. Open Automated Demand Response Technologies for

  10. Investment Efficiency in Competitive Electricity Markets With and Without Time-Varying Retail Prices

    E-Print Network [OSTI]

    Borenstein, Severin; Holland, Stephen P.

    2002-01-01

    homogeneous product in the retail market, and would face noin wholesale and retail markets Equilibrium prices in thec) = r. In the ?at-rate retail market, however, there is now

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

    E-Print Network [OSTI]

    on the environmental impacts associated with electricity consumption, and that interstate trading tends to makeAn Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios Joe Marriott Submitted in Partial Fulfillment of the Requirements

  12. Propagating Electricity Bill onto Cloud Tenants: Using a Novel Pricing Mechanism

    E-Print Network [OSTI]

    Mohsenian-Rad, Hamed

    to change their electricity usage to contribute in cutting electricity bills by participation in demand is the cost of total kWh electricity consumed by the DC. The demand charge is about the average peak load in k in order to shed the electricity utilities' peak loads. The demand charge of a DC can be equal to or even

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

    Office of Energy Efficiency and Renewable Energy (EERE)

    This volume focuses on the role of variable renewable generation in creating challenges to the planning and operations of power systems and the expansion of transmission to deliver electricity from remote resources to load centers. The technical and institutional changes to power systems that respond to these challenges are, in many cases, underway, driven by the economic benefits of adopting more modern communication, information, and computation technologies that offer significant operational cost savings and improved asset utilization. While this volume provides background information and numerous references, the reader is referred to the literature for more complete tutorials.

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

    E-Print Network [OSTI]

    de Weck, Olivier L.

    Neufville Professor of Engineering Systems Chair, ESD Education Committee #12;2 #12;3 Electricity DemandElectricity Demand-Side Management for an Energy Efficient Future in China: Technology Options: ______________________________________________________________ : Stephen R. Connors Director, Analysis Group for Regional Electricity Alternatives Thesis Supervisor

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

    E-Print Network [OSTI]

    Scope for Future CO2 Emission Reductions from Electricity Generation through the Deployment-emission electricity within one or two decades. Renewable generation is also planned to increase over similar time, it is therefore possible that large (~45%) reductions in CO2 emissions from UK electricity generation could

  16. Market Power and Efficiency in a Computational Electricity Market With Discriminatory Double-Auction Pricing

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    electricity market operating in the short run under systematically varied concentration and capacity1 Market Power and Efficiency in a Computational Electricity Market With Discriminatory Double market, restructuring, repeated double auction, market power, efficiency, concentration, capacity

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price toStocks 2009CubicAnalysisYear Jana. Coal Prices to Electrica.

  18. Maryland Natural Gas Price Sold to Electric Power Consumers (Dollars per

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)PriceHistoricEnergyAprilMartin D.Feet)PriceThousand

  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

    Concurrent Optimization of Consumer's Electrical Energy Bill and Producer's Power Generation Cost their electric bill. On the other hand optimizing the number and production time of power generation facilities lower cost. I. INTRODUCTION There is no substitute for the status of electrical energy, which

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

    Broader source: Energy.gov [DOE]

    This volume includes chapters discussing biopower, geothermal, hydropower, ocean, solar, wind, and storage technologies. Each chapter includes a resource availability estimate, technology cost and performance characterization, discussions of output characteristics and grid service possibilities, large-scale production and deployment issues, and barriers to high penetration along with possible responses to them. Only technologies that are currently commercially available—biomass, geothermal, hydropower, solar PV, CSP, and wind-powered systems—are included in the modeling analysis. Some of these renewable technologies—such as run-of-river hydropower, onshore wind, hydrothermal geothermal, dedicated and co-fired-with-coal biomass—are relatively mature and well-characterized. Other renewable technologies—such as fixed-bottom offshore wind, solar PV, and solar CSP—are at earlier stages of deployment with greater potential for future technology advancements over the next 40 years.

  1. Evaluation of evolving residential electricity tariffs

    SciTech Connect (OSTI)

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

    2011-05-15

    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.

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

    E-Print Network [OSTI]

    exploration, and lower expected costs of finding and producing these fuels. The theories of oil and gas supply several years, views of energy markets, supplies and costs have altered dramatically. Changing technology innovation and application to the point where many industry observers expect few real sustained price

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

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2004-01-01

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

  4. Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets

    E-Print Network [OSTI]

    Proutiere, Alexandre

    behavior of the various actors lead to a socially acceptable situation? Electricity markets are highly complex dynamical systems. They incorporate renewable energy sources, such as wind and solar

  5. Spot pricing of electricity and ancillary services in a competitive California market.

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Marnay, Chris; Khavkin, Mark

    2000-01-01

    o Liew, and M. Khavkin 1999, Ancillary Services Markets inVolatility in the California Ancillary Services Mar- kets:of Electricity and Ancillary Services in a Competitive

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

    SciTech Connect (OSTI)

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

    2010-06-02

    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.

  7. Allowance Allocation and Effects on the Electricity Sector

    E-Print Network [OSTI]

    on electricity markets depends on CO2 emissions rates · Different regional effect of GF on electricity marketsAppalachia Indiana CO2EmissionsRate(tons/MWh) ElectricityPrice Baseline (BL) EmissionsRate Policy % Increase from BLAllowance Allocation and Effects on the Electricity Sector Karen Palmer Resources for the Future

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

    E-Print Network [OSTI]

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

    1991-01-01

    place greater emphasis on developing programs that benefit the customer while at the same time benefiting the utility. Economy Surplus Power (ESP) is such a program. ESP offers industrial customers attractively priced power supply arrangements based... at a rate far below what had been forecasted a decade earlier. Sales to large industrial customers were depressed. At the same time TVA faced a temporary surplus of generating capacity. Viewed independently, each <1f these problems has the makings...

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

    E-Print Network [OSTI]

    Joskow, Paul; Kahn, Edward

    2004-06-16

    in Northern California, gas-fired steam and peaking turbines, and cogenerators and other generation sources that are ?Qualifying Facilities? (QFs) under the Public Utility Regulatory Policy Act of 1978 (PURPA). About half of in-state generating capacity... and Lynch (2000), California Independent System Operator Department of Market Analysis (2000), California Power Exchange Corporation Compliance Unit (2000) among others. 3 FERC (1998) gives a detailed account of price spikes in Midwestern markets...

  10. Market Power and Efficiency in a Computational Electricity Market With Discriminatory Double-Auction Pricing

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    to household, industry, or commercial users in a retail market. Short-run production efficiency in a wholesal1 Market Power and Efficiency in a Computational Electricity Market With Discriminatory Double electricity market operating in the short run under systematically varied concentration and capacity

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

    SciTech Connect (OSTI)

    Chertkov, Michael; Bent, Russell W.; Backhaus, Scott N.

    2012-07-10

    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.

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

    E-Print Network [OSTI]

    Akbari, H.; Heinemeier, K. E.

    1990-01-01

    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

    2009-01-01

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional costTotalRealTotala.

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

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price to fall to $3.43U.S.longec 188 U.S.1 HomeRegional

  16. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price toStocksU.S. shale gas plays: natural gasPetroleum NetCrude oil

  17. Table 6. Electric power delivered fuel prices and quality for coal, petroleum, natural gas, 1990 - 2013

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page| Open Energy Informationmonthly gasoline price toStocksU.S. shale gas plays: natural gasPetroleum NetCrude

  18. West Virginia Natural Gas Price Sold to Electric Power Consumers (Dollars

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total Residential DeliveriesDecade Year-0(Millionper

  19. Wisconsin 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 on Google5.10 5.24 5.29 5.84 5.08 4.25 1989-2015 Residential Price 11.35 12.13 12.37 12.57 11.71 11.24 1989-2015 Percentage of Total ResidentialDecade Year-0 Year-1 Year-2

  20. New Hampshire Natural Gas Price Sold to Electric Power Consumers (Dollars

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price (Dollars perFeet) (Millionper

  1. New Jersey 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price (Dollars2009 2010IndustrialThousand

  2. New Mexico 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780 922 (Million Cubic2009 2010 2011

  3. New York 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet)DecadeYear Jan Feb Marthrough 1996)Price780Year Jan Feb MarIndustrialThousand

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConference Tight Oil1 SoilPrice (DollarsThousand

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking With U.S. CoalMexicoConferencePrice (Dollars per Thousand

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorking WithTelecentricN A 035(92/02) nerg *415,RatesWalterCubicPrice

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power AdministrationRobust,Field-effectWorkingLos Alamos verifies largest single gold crystalPrice (DollarsThousand

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACT EVALUATIONIntroducingJobs2015Administration|Price (DollarsThousand

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousand Cubic Feet) SoldDepartment ofKen T.Price (DollarsThousand

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (Journalvivo Low-Dose Low LET IonizingGeorge B.Thousand Cubic Feet) Price

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverse (JournalvivoHighHussein KhalilResearch88 SignPrice (Dollars per

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988 1.996Deutsche Bank AG Weekly7,674a. Coal Prices to

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988 1.996Deutsche Bank AG Weekly7,674a. Coal Prices

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

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963 1.969 1.979 1.988 1.996Deutsche Bank AGTotal96b. Natural Gas Price,

  15. Maine Natural Gas Price Sold to Electric Power Consumers (Dollars per

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration would likeUniverseIMPACTThousandReport)Price (Dollars per Thousand Cubic Feet) Maine Natural

  16. Michigan Natural Gas Price Sold to Electric Power Consumers (Dollars per

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shines light on dark matterEnergyPublicatons ContactThousand Cubic Feet) Price

  17. What Do You Think of Electric 'Cars of the Future'? | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on DeliciousMathematics And Statistics » USAJobs SearchAMERICA'S FUTURE.Projects atWeRenewable EnergyFavoriteTopElectric

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

    E-Print Network [OSTI]

    Lucia, Julio J.; Schwartz, Eduardo

    2000-01-01

    Evidence from the Nordic Power Exchange. Julio J. Lucia andWe analyze the Nordic Power Exchange’s spot, futures, andin the world, the Nordic Power Exchange, Nord Pool ASA. The

  19. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    electric- ity price and renewable energy supply. . . . . . .price, available renewable energy supply, wireless networkprice, available renewable energy supply, wireless network

  20. Flexible Demand Management under Time-Varying Prices

    E-Print Network [OSTI]

    Liang, Yong

    2012-01-01

    2.4 When Price Is Uncertain . . . . . . . . . .of the Parameters of the Price Structures . . . . . . .Day in a Typical Hourly Average Electricity Prices . . . . .

  1. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

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

    2010-08-02

    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.

  2. 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.

    1982-06-01

    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)

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

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01

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

  4. Table N8.3. Average Prices of Purchased Electricity, Natural Gas, and Steam,

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015"Monthly","10/2015" ,"Release7CubicthroughtheSeptember 24,4,630.22PrimaryB6.3. Electricity:2.3.

  5. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    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 [

  6. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01

    distributed electric- ity price and renewable energydistributed electricity price and renewable energy supply.and renewable energy supplies, is independently and identically distributed

  7. California's future `Smart Grid' system will integrate solar, wind, and other renewable electricity generation with energy storage to meet our electricity demands and to support electric transportation. The Sustainable Integrated Grid

    E-Print Network [OSTI]

    California at Riverside, University of

    California's future `Smart Grid' system will integrate solar, wind, and other renewable electricity. The Sustainable Integrated Grid Initiative at UCR combines these elements so that researchers, utility personnel and wind are intermittent in nature and may not be available when needed. Electrical energy stored

  8. WIND ENERGY AND NEGATIVE PRICING

    E-Print Network [OSTI]

    McCalley, James D.

    at negative prices #12;Wind power and negative prices · Wind power production is related to electricity power integration · Negative prices are "market distortions" that need to be addressed · "PTC aggravatesWIND ENERGY AND NEGATIVE PRICING Is Production Tax Credit to Blame? Yu Wang Iowa State University

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

    E-Print Network [OSTI]

    2004-01-01

    in Competitive Electricity Markets” Lawrence BerkeleyDemand Response in Electricity Markets , Hewlitt Foundationin Competitive Electricity Markets , A. Faruqui and K.

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

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01

    and Fuel Cell Electric Vehicle Symposium 4 Applications forand applications of batteries and ultracapacitors for electric vehicles. EVS24 International Battery, Hybrid and Fuel CellFuel Cell Electric Vehicle Symposium Table 6: Ultracapacitor units for hybrid vehicle applications

  11. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    Oil prices spike to over $145/ barreland price of electricity exceeds $0.50/kWh in U.S. Virgin installs waste heat recovery plant, adding19 MWofpower withoutburningasingledropof additionaloil VIEO Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDIN

  12. Incorporating the Price of Quality in Efficiency Analysis: The Case of Electricity Distrubution Regulation in the UK

    E-Print Network [OSTI]

    Yu, William; Jamasb, Tooraj; Pollitt, Michael G.

    and the DNOs face trade-offs between capital expenditures (Capex) and operating expenditures (Opex) on the one hand and quality of service and network energy losses on the other. For example, increased spending in new equipment or more rapid response... , Capex, Opex, service quality, and energy loss are regulated under different types of schemes. DNOs should be subject to price of all their inputs price including that of quality of service. Currently, the DNOs are subject to an implicit price...

  13. Applying Psychology to Economic Policy Design: Using Incentive Preserving Rebates to Increase Acceptance of Critical Peak Electricity Pricing

    E-Print Network [OSTI]

    Letzler, Robert

    2007-01-01

    The Community Energy Cooperative’s Energy-Smart Pricing PlanPower, the Community Energy Cooperative, and California’s

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

    ScienceCinema (OSTI)

    Landis Kannberg

    2013-06-10

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

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

    SciTech Connect (OSTI)

    Landis Kannberg

    2011-10-11

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

  16. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15

    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)

  17. Alternative Fuel Price Report - March 28, 2005

    Alternative Fuels and Advanced Vehicles Data Center [Office of Energy Efficiency and Renewable Energy (EERE)]

    At the national average gasoline price of 2.109 per gallon, the fuel cost of an electric Ranger is less than that of its conventional counterpart for electricity price up...

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

    E-Print Network [OSTI]

    Barradale, Merrill Jones

    2010-01-01

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

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

    E-Print Network [OSTI]

    Zachmann, Georg

    2007-01-01

    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 ...

  20. Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff

    SciTech Connect (OSTI)

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

    2005-11-14

    The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01

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

  2. Transportation Energy Futures

    E-Print Network [OSTI]

    Sperling, Daniel

    1989-01-01

    s values, forecasts of future energy prices and politicalYergin, D. , eds. 1979. Energy Future: Report of the Energy02, Sacramento, Calif. ENERGY FUTURES 103. Ullman, T. L. ,

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

    SciTech Connect (OSTI)

    Dick Cirillo; Guenter Conzelmann

    2013-03-20

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

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

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01

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

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

    ScienceCinema (OSTI)

    Dick Cirillo; Guenter Conzelmann

    2013-06-07

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

  6. Arbitrage and the Law of One Price: Setting the Record Straight

    E-Print Network [OSTI]

    Pippenger, John

    2015-01-01

    Richard, 2001, The Law of One Price in Scandinavian Duty-1987. Commodity Futures Prices: Some Evidence on Forecastuse shorter versions of my grain prices and freight rates to

  7. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01

    to solar insolation. Energy Prices Electricity prices weresolar insolation that are based on these data. Energy Loads Utility electricityenergy loads (non- cooling electric, electric, and heating), electricity prices, DG availability, and solar

  8. Model documentation: Electricity Market Module, Electricity Capacity Planning submodule

    SciTech Connect (OSTI)

    Not Available

    1994-04-07

    The National Energy Modeling System (NEMS) is a computer modeling system developed by the Energy Information Administration (EIA). The NEMS produces integrated forecasts for energy markets in the United States by achieving a general equilibrium solution for energy supply and demand. Currently, for each year during the period from 1990 through 2010, the NEMS describes energy supply, conversion, consumption, and pricing. The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The supply of electricity is a conversion activity since electricity is produced from other energy sources (e.g., fossil, nuclear, and renewable). The EMM represents the generation, transmission, and pricing of electricity. The EMM consists of four main submodules: Electricity Capacity Planning (ECP), Electricity Fuel Dispatching (EFD), Electricity Finance and Pricing (EFP), and Load and Demand-Side Management (LDSM). The ECP evaluates changes in the mix of generating capacity that are necessary to meet future demands for electricity and comply with environmental regulations. The EFD represents dispatching (i.e., operating) decisions and determines how to allocate available capacity to meet the current demand for electricity. Using investment expenditures from the ECP and operating costs from the EFD, the EFP calculates the price of electricity, accounting for state-level regulations involving the allocation of costs. The LDSM translates annual demands for electricity into distributions that describe hourly, seasonal, and time-of-day variations. These distributions are used by the EFD and the ECP to determine the quantity and types of generating capacity that are required to insure reliable and economical supplies of electricity. The EMM also represents nonutility suppliers and interregional and international transmission and trade. These activities are included in the EFD and the ECP.

  9. eGallon and Electric Vehicle Sales: The Big Picture | Department...

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

    electricity prices. The state gasoline price above is either the statewide average retail price or a multi-state regional average price reported by EIA. The latest gasoline...

  10. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per Thousand CubicCoalbedWellhead PriceConsumption

  11. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbedPrices"+Wellhead PriceLNG Storage

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

    E-Print Network [OSTI]

    Burke, Andy; Miller, Marshall

    2009-01-01

    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

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

    E-Print Network [OSTI]

    Kang, Heejay

    2007-01-01

    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 ...

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

    E-Print Network [OSTI]

    Sweeting, Andrew

    2000-01-01

    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 ...

  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. 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.

    2003-04-01

    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.

  17. California's electricity crisis

    E-Print Network [OSTI]

    Joskow, Paul L.

    2001-01-01

    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 ...

  18. The Consequences for Consumer Welfare of the 2001-2003 Electricity Distribution Price Review in The Netherlands

    E-Print Network [OSTI]

    Nillesen, Paul; Pollitt, Michael G.

    2006-03-14

    ). In Spain, the regulator has used model firms for specific geographical areas to allocate a portion of the total system revenues among distribution utilities. Also, the sliding scale method (as used by the California PUC) can be viewed as a form... was an advisor to the DTe in the initial phases of regulation (1999), later advising several of the companies on regulatory strategy. 2 I. Introduction The price control review has become a key element of independent economic regulation of network...

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

    E-Print Network [OSTI]

    Fu, Yong

    ) in the electricity markets, and presents some special observations on LMP. Under market environment, LMP based- and long-term efficiency in wholesale electricity markets. In some restructured markets, including the PJM to ISO by the energy buyers. Thus, depending on different market designs, four different calculation

  20. Options Impacting the Electric System of the Future (ESF); NREL (National Renewable Energy Laboratory)

    SciTech Connect (OSTI)

    Cory, Karlynn

    2015-08-10

    As utilities are faced with adapting to new technologies, technology and policy due diligence are necessary to ensure the development of a future grid that brings greater value to utilities and their consumers. This presentation explores the different kinds of future directions the power industry could consider to create, discussing key components necessary for success. It will also discuss the practical application and possible strategies for utilities and innovators to implement smart technologies that will enable an ultimate ‘intelligent’ grid capable of two-way communication, interoperability, and greater efficiency and system resiliency.

  1. Aalborg Universitet How to improve the design of the electrical system in future wind power plants

    E-Print Network [OSTI]

    Bak, Claus Leth

    of the main electrical components in wind farms. Two of the Ph.D. projects focus specifically to offshore wind on the transient and temporary overvoltages known to appear in the collection grid of offshore wind farms.D. project Harmonics in Large Offshore Wind Farms will provide in-depth knowledge of all relevant aspects

  2. 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

  3. G REEN FLASH PROJECT The electrical power demands of ultrascale computers threaten to limit the future

    E-Print Network [OSTI]

    Oliker, Leonid

    feasible within the next 15 years, but that they face signifi- cant challenges. One of the challenges (enough to power approximately 2,600 homes)is"perhapsachievable,"accordingtotheE3 findings led to supercomputers that consume egregious amounts of electrical power. Other performance metrics

  4. 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)

    1998-11-01

    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.

  5. 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

    2013-01-01

    on simulated electricity spot prices in Germany, using theelectricity generation on spot market prices in Germany.

  6. 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

    2001-01-01

    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 ...

  7. ,"Utah 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: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015" ,"ReleaseMonthly","10/2015"Prime Supplier Sales VolumesPrices byUpcoming U.S. Natural

  8. ,"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: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015" ,"ReleaseMonthly","10/2015"Prime Supplier Sales VolumesPrices byUpcoming

  9. ,"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: Alternative Fuels Data Center Home Page on Google Bookmark EERE: AlternativeMonthly","10/2015" ,"ReleaseMonthly","10/2015"Prime Supplier Sales VolumesPricesMonthly","10/2015"

  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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA -Liquids LeaseAnnual",2014Wellhead PriceConsumption

  11. ,"Ohio 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per Thousand Cubic Feet)"Consumption by EndLiquids

  12. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per Thousand CubicCoalbed Methane

  13. ,"Pennsylvania 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead Price (Dollars per ThousandAnnual",2014CoalbedAnnual",2014

  14. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by End Use" ,"Click worksheet nameLNG Storage

  15. ,"South 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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by End Use" ,"ClickConsumptionLNG Storage

  16. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by EndAnnual",2014 ,"ReleaseAnnual",2014

  17. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9" ,"Released:3a. January

  18. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008Wellhead PriceConsumption by9"Coalbed MethaneDryDryDryLNG Storage

  19. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008 ©Prices" ,"ClickAnnual",2014Plant

  20. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbed MethaneWellhead PriceConsumption byLNG

  1. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbedPrices" ,"ClickConsumption

  2. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbedPrices"+ LeaseAnnual",2014

  3. ,"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: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames City of",6,1,"Omaha Public PowerOECD/IEA - 2008 © OECD/IEA - 2008LNG StorageCoalbedPrices"+WellheadWellheadLNG Storage

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

    SciTech Connect (OSTI)

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

    1992-08-25

    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.

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

    SciTech Connect (OSTI)

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

    1992-08-25

    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.

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

    E-Print Network [OSTI]

    Bartel, W.

    2012-01-01

    integration of distributed generation and renewables ? Future ? Automatic Outage Notification, Support for Plug in Hybrid Vehicles, Consumer Control of Thermostats/Appliances, etc. AMS Successes 6 ? Service orders completed electronically... pipelines ? Natural gas gathering and processing ? 150 separate systems in major producing fields in Arkansas, Louisiana, Oklahoma and Texas 2 Who is CenterPoint Energy? A domestic energy delivery company Three Components of a Smart Grid Smart...

  7. Pennsylvania's Natural Gas Future

    E-Print Network [OSTI]

    Lee, Dongwon

    1 Pennsylvania's Natural Gas Future Penn State Natural Gas Utilization Workshop Bradley Hall sales to commercial and industrial customers ­ Natural gas, power, oil · Power generation ­ FossilMMBtuEquivalent Wellhead Gas Price, $/MMBtu Monthly US Spot Oil Price, $/MMBtu* U.S. Crude Oil vs. Natural Gas Prices, 2005

  8. 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

    2004-01-01

    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

  9. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01

    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 ...

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantityBonneville Power Administration wouldMass map shinesSolar Photovoltaic(Million Cubicthrough 1996) in West72,509

  11. Natural Gas Futures Prices (NYMEX)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,489 2,249,187Week OfWeek2009

  12. Natural Gas Futures Prices (NYMEX)

    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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,489 2,249,187Week

  13. Addressing an Uncertain Future Using Scenario Analysis

    E-Print Network [OSTI]

    Siddiqui, Afzal S.; Marnay, Chris

    2008-01-01

    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

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

    E-Print Network [OSTI]

    Eto, Joseph; Stovall, John P.

    2003-01-01

    Impacts of Electricity Transmission Scenario Analysis forImpacts of Electricity Transmission Scenario Analysis forhas also commissioned Electricity Transmission Research and

  15. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01

    Prices,” Journal of Real Estate Finance and Economics, 3,Mortgage Default Risk and Real Estate Prices: The Use ofFutures and Options in Real Estate,” Journal of Housing

  16. ELEC0018-1 Energy markets -Assignement: Impact of a nuclear power phase-out on the electricity price.

    E-Print Network [OSTI]

    Ernst, Damien

    ELEC0018-1 Energy markets - Assignement: Impact of a nuclear power phase-out on the electricity of the energy markets in order to get a reasoned conclusion about the impact that a nuclear power phase care should be given to the following aspects: · Put the nuclear power sector into perspective

  17. 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]

    and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures Trieu Berlin, Germany December 46, 2012 NREL/PR6A2057018 Renewable Electricity Futures Study (2012). Hand, M is a low carbon, low air pollutant, low fuel use, low water use, domestic, and sustainable electricity

  18. Visualizations for Real-time Pricing Demonstration

    SciTech Connect (OSTI)

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

    2014-10-13

    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.

  19. Comparative health and safety assessment of alternative future electrical-generation systems

    SciTech Connect (OSTI)

    Habegger, L.J.; Gasper, J.R.; Brown, C.D.

    1980-01-01

    The report is an analysis of health and safety risks of seven alternative electrical generation systems, all of which have potential for commercial availability in the post-2000 timeframe. The systems are compared on the basis of expected public and occupational deaths and lost workdays per year associated with 1000 MWe average unit generation. Risks and their uncertainties are estimated for all phases of the energy production cycle, including fuel and raw material extraction and processing, direct and indirect component manufacture, on-site construction, and system operation and maintenance. Also discussed is the potential significance of related major health and safety issues that remain largely unquantifiable. The technologies include: the SPS; a low-Btu coal gasification system with an open-cycle gas turbine combined with a steam topping cycle (CG/CC); a light water fission reactor system without fuel reprocessing (LWR); a liquid metal fast breeder fission reactor system (LMFBR); a central station terrestrial photovoltaic system (CTPV); and a first generation fusion system with magnetic confinement. For comparison with the baseload technologies, risk from a decentralized roof-top photovoltaic system with 6 kWe peak capacity and battery storage (DTPV) was also evaluated.

  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

    2012-01-01

    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. 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

    2008-01-01

    Definition for Future Electricity Supply Auctions: The 2006 Illinois Experience, Electr. J. (2008), doi:10 analysis, planning, economics and operations and utility regulatory policy and industry restructuring. His of California, Berkeley. He was previously employed by Pacific Gas and Electric Company in various technical

  2. Protecting the Market from ``Hockey Stick'' Pricing: How

    E-Print Network [OSTI]

    approach to curb the effects of ``hockey stick'' pricing in the spot electricity market run by the Electric for these services are exhausted. In markets where energy or capacity is pur- chased through a uniform price auction.tej.2004.03.001 The Electricity Journal #12;are paid the same market clearing price (MCP), the presence

  3. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01

    Do Consumers Respond? Residential Demand Elasticity UnderPrice elasticity of residential demand for water: A meta-Evidence from Residential Electricity Demand. ” The Review

  4. Introduction to Futures Markets 

    E-Print Network [OSTI]

    Mintert, James R.; Welch, Mark

    2009-01-07

    or settlement price. Although the margin require- ments are small relative to the total value of the 4 Using Futures Contracts in a Farm Marketing Program There are a number of ways futures contracts can be used in a farm marketing program. Futures... their risk exposure, grain dealers began selling ?To Arrive? contracts, which specified the future date (usually the month) a speci- fied quantity of grain would be delivered to a particular location at a price identified in the contract. Fixing the price...

  5. Electricity Reliability

    E-Print Network [OSTI]

    Post, Wilfred M.

    Electricity Delivery and Energy Reliability High Temperature Superconductivity (HTS) Visualization in the future because they have virtually no resistance to electric current, offering the possibility of new electric power equipment with more energy efficiency and higher capacity than today's systems

  6. Cheese Prices 

    E-Print Network [OSTI]

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

    2003-08-25

    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...

  7. Milk Pricing 

    E-Print Network [OSTI]

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

    2001-09-10

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

  8. 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

    2003-08-13

    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.

  9. State and Regional Comprehensive Carbon Pricing and Greenhouse Gas Regulation in the Power Sector under the EPA's Clean Power Plan

    E-Print Network [OSTI]

    California at Davis, University of

    1 State and Regional Comprehensive Carbon Pricing and Greenhouse Gas Regulation in the Power Sector under the EPA's Clean Power Plan UC Davis Policy Institute, Resources for the Future, Next 10 November:30 Welcome; background information · California, AB32, the trading program, other policies in electricity

  10. IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 29, NO. 1, JANUARY 2014 203 Distribution Locational Marginal Pricing for Optimal

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Marginal Pricing for Optimal Electric Vehicle Charging Management Ruoyang Li, Student Member, IEEE, Qiuwei Wu, Member, IEEE, and Shmuel S. Oren, Fellow, IEEE Abstract--This paper presents an integrated vehicle (EV) loads in future power systems. In the proposed approach, the distribution system op- erator

  11. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15

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

  12. Options for Kentucky's Energy Future

    SciTech Connect (OSTI)

    Larry Demick

    2012-11-01

    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.

  13. Power System Modeling of 20percent Wind-Generated Electricity by 2030

    E-Print Network [OSTI]

    Hand, Maureen

    2008-01-01

    fuel price forecast Coal prices follow AEO 2007 referencecoal- and natural gas-based electricity generation analyzed here include decreased natural gas prices,

  14. An Analysis of the Effects of Photovoltaic Energy Systems on Residential Selling Prices in California.

    E-Print Network [OSTI]

    Cappers, Peter

    2012-01-01

    Residential Photovoltaic Energy Systems on Home Sales Prices in CaliforniaCalifornia electric utilities provide service under tiered residential rates that charge progressively higher prices for energy

  15. 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...

  16. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01

    price ($/kWh) Distributed Generation Dispatch Optimization Under Various Electricity Tariffs carbon (

  17. Electric Utility Strategic Planning at the PUCT: An Overview 

    E-Print Network [OSTI]

    Zarnikau, J.

    1987-01-01

    the utilities' planning decisions. Electric rates were increasing at an alarming rate due to rising fuel prices, utility construc tion programs, and (some claimed) lax regulation. Despite a rapidly expanding economy and popula tion,load forecasters at many... of the state's larger utilities were consistently over estimating future peak demand by very wide margins, resulting in inefficient planning *The author is currently the Manager of Economic Analysis and the Assistant Director of the Electric Division...

  18. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01

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

  19. 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.

    1991-01-01

    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 ...

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

    E-Print Network [OSTI]

    Connors, Stephen R.

    1989-01-01

    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 ...

  1. Electricity Monthly Update

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

    Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy),...

  2. 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

    2013-01-01

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

  3. Please cite this article in press as: R.E. Edwards, et al., Predicting future hourly residential electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.03.010

    E-Print Network [OSTI]

    Parker, Lynne E.

    2012-01-01

    electrical consumption: A machine learning case study, Energy Buildings (2012), doi:10.1016/j.enbuild.2012.elsevier.com/locate/enbuild Predicting future hourly residential electrical consumption: A machine learning case study Richard E electrical consumption data. In this article, we report on the evaluation of seven different machine learning

  4. Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India

    E-Print Network [OSTI]

    McNeil, Michael A.

    2010-01-01

    and Cost of Conserved Energy Given estimates of retail price, UEC, marginal electricity prices and discount rates, calculation

  5. Optimal investment and scheduling of distributed energy resources with uncertainty in electric vehicles driving schedules

    E-Print Network [OSTI]

    Cardoso, Goncalo

    2014-01-01

    price of electric vehicle electricity exchange at home, $/kWh marginal carboncarbon emissions rate from generation technology j, kg/kWh price

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

    E-Print Network [OSTI]

    Barbose, Galen

    2013-01-01

    pricing, high solar penetrations in the market could lead tosolar power (CSP), and wind penetrations in the electricity market.in wholesale market electricity prices. Under high solar

  7. Milk Futures, Options and Basis 

    E-Print Network [OSTI]

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

    2001-10-12

    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....

  8. 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.

    1991-06-01

    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.

  9. Pollution and the price of power

    SciTech Connect (OSTI)

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

    2008-07-01

    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.

  10. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,489 2,249,187 2,334,573

  11. 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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,489 2,249,187 2,334,573

  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: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of Natural GasAdjustments (Billion Cubic Feet) Wyoming963Residential2, 2014ProvedYearthrough2,290,489 2,249,187

  13. An Analysis of the Effects of Residential Photovoltaic Energy Systems on Home Sales Prices in California

    E-Print Network [OSTI]

    Hoen, Ben

    2011-01-01

    Residential Photovoltaic Energy Systems on Home Sales Prices in CaliforniaResidential Photovoltaic Energy Systems on Home Sales Prices in CaliforniaCalifornia electric utilities provide service under tiered residential rates that charge progressively higher prices for energy

  14. Abstract--A key component of the smart grid is the ability to enable dynamic residential pricing to incentivize the customer

    E-Print Network [OSTI]

    Sapatnekar, Sachin

    Abstract-- A key component of the smart grid is the ability to enable dynamic residential pricing, Multiple Knapsack Problem (MKP), Optimization, Smart Grids. I. INTRODUCTION With ever challenge to the future electricity distribution systems. The smart grid has emerged as a solution

  15. Electric Vehicles

    ScienceCinema (OSTI)

    Ozpineci, Burak

    2014-07-23

    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.

  16. Electric Vehicles

    SciTech Connect (OSTI)

    Ozpineci, Burak

    2014-05-02

    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. Impact of residential PV adoption on Retail Electricity Rates

    SciTech Connect (OSTI)

    Cai, DWH; Adlakha, S; Low, SH; De Martini, P; Chandy, KM

    2013-11-01

    The price of electricity supplied from home rooftop photo voltaic (PV) solar cells has fallen below the retail price of grid electricity in some areas. A number of residential households have an economic incentive to install rooftop PV systems and reduce their purchases of electricity from the grid. A significant portion of the costs incurred by utility companies are fixed costs which must be recovered even as consumption falls. Electricity rates must increase in order for utility companies to recover fixed costs from shrinking sales bases. Increasing rates will, in turn, result in even more economic incentives for customers to adopt rooftop PV. In this paper, we model this feedback between PV adoption and electricity rates and study its impact on future PV penetration and net-metering costs. We find that the most important parameter that determines whether this feedback has an effect is the fraction of customers who adopt PV in any year based solely on the money saved by doing so in that year, independent of the uncertainties of future years. These uncertainties include possible changes in rate structures such as the introduction of connection charges, the possibility of PV prices dropping significantly in the future, possible changes in tax incentives, and confidence in the reliability and maintainability of PV. (C) 2013 Elsevier Ltd. All rights reserved.

  18. ELECTRIC

    Office of Legacy Management (LM)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Homesum_a_epg0_fpd_mmcf_m.xls" ,"Available from WebQuantity of NaturalDukeWakefield Municipal Gas &SCE-SessionsSouth DakotaRobbins and Myers CoMadison -T: Designation ofSEPE.ELECTRIC

  19. Monthly/Annual Energy Review - electricity section

    Reports and Publications (EIA)

    2015-01-01

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

  20. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15

    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)

  1. Renewable Electricity Purchases: History and Recent Developments

    Reports and Publications (EIA)

    1999-01-01

    This article presents an analysis of prices of renewable-based electricity that utilities have paid to nonutilities, the primary generators of renewable electricity.

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

    E-Print Network [OSTI]

    Cheng, Chia-Chin

    2005-01-01

    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 ...

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

    E-Print Network [OSTI]

    Eto, Joseph; Stovall, John P.

    2003-01-01

    energy cost/value; and electricity system reliability, quality, and sufficiency are all CaliforniaCalifornia to increase energy self-sufficiency and reliability Greater Regional Coordination Maturing regional processes for equitable sharing of cost and

  4. Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines

    E-Print Network [OSTI]

    Cańizares, Claudio A.

    for forecasting the Spanish electricity market prices. On the other hand, ARIMA, dynamic regression and transfer been used to forecast the Spanish market prices [7], [9], Californian market prices [9], Leipzig power have been used for forecasting the Spanish and Californian market prices [11] and the PJM market prices

  5. An Analysis of Residential PV System Price Differences Between the United States and Germany

    E-Print Network [OSTI]

    Seel, Joachim

    2014-01-01

    electricity prices over time (similar to the new reality in GermanyGermany $/W German system price $ 2011/W FiT $/kWh Electricityprice differences between Germany and the United States affect the associated electricity

  6. 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

    2004-12-21

    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.

  7. 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

    2003-01-01

    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. ”

  8. Distributed Energy Consumption Control via Real-Time Pricing Feedback in Smart Grid

    E-Print Network [OSTI]

    Ma, Kai; Hu, Guoqiang; Spanos, Costas J

    2014-01-01

    estimates the average demand of consumers based on the historical data and then publishes the electricity price

  9. The house of the future

    ScienceCinema (OSTI)

    None

    2010-09-01

    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.

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

    E-Print Network [OSTI]

    - lating network access that is simple to implement, facil- itates energy trading and will promote e cient of the transmission prices is a severe obstacle to e cient bilateral energy trading. see Wu, Varaiya, Spiller and Oren trader to either physical injection of one unit of energy or a compensation payment that equals to the di

  11. State energy price and expenditure report 1993

    SciTech Connect (OSTI)

    1995-12-01

    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.

  12. Case Study: Lessons Learned From Converting Electric Chillers to Steam Chillers in a Electric Deregulated Market. 

    E-Print Network [OSTI]

    Wohl, J.

    2001-01-01

    was that a flatter load profile due to steam cooling should allow better electric pricing from energy suppliers....

  13. Electric power annual 1998. Volume 1

    SciTech Connect (OSTI)

    1999-04-01

    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.

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2005-01-01

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

  15. Incentive Policies for Neighborhood Electric Vehicles

    E-Print Network [OSTI]

    Lipman, Timothy E.; Kurani, Kenneth S.; Sperling, Daniel

    2001-01-01

    Developmentfor Neighborhood Electric Vehicles. Institute ofPaul. "Small and Electric: Vehicles With a Future." ResearchElectric Company. Electric Vehicle Program: Exhibit III

  16. Incentive Policies for Neighborhood Electric Vehicles

    E-Print Network [OSTI]

    Lipman, Timothy E.; Kuranu, Kenneth S.; Sperling, Daniel

    1994-01-01

    Developmentfor Neighborhood Electric Vehicles. Institute ofPaul. "Small and Electric: Vehicles With a Future." ResearchElectric Company. Electric Vehicle Program: Exhibit III

  17. Volumetric Hedging in Electricity Procurement Department of Industrial Engineering

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Volumetric Hedging in Electricity Procurement Yumi Oum Department of Industrial Engineering electricity service at regulated prices in restructured electricity markets, face price and quantity risk. We in the electricity industry has put high price risk on market partici- pants, particularly on load serving entities

  18. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01

    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

  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

    2004-01-01

    Energy Futures: Recent Evidence for Crude Oil, Natural Gas,Gasoline and Heating Oil. UCSC Economics Working Paper No.Papapetrou, E. (2001). "Oil Price Shocks, Stock Market,

  20. Distributed Generation Dispatch Optimization under Various Electricity Tariffs

    E-Print Network [OSTI]

    Firestone, Ryan; Marnay, Chris

    2007-01-01

    in November 2005 during a natural gas price spike. Figure 22for the year in natural gas prices and general trends in6. electricity and natural gas prices for January 2004 to

  1. 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

  2. Furniture Standards Contract Price Guide

    E-Print Network [OSTI]

    Sussex, University of

    1 Furniture Standards Contract Price Guide Issue 1 - July 2007 www.broadstock.co.uk University of Sussex #12;2 Contents Office 5 1600 x 1600 Universal workstations 6 Double wave desks 7 Fixed tables 7 Circular tables 7 Bench 8 Screens 10 Electrics 12 Storage 13 Pedestals 14 Magnus wooden storage 15 Metrix

  3. FINAL REPORT ON PRICE MANIPULATION IN WESTERN MARKETS

    E-Print Network [OSTI]

    Laughlin, Robert B.

    MANIPULATION OF ELECTRIC AND NATURAL GAS PRICES DOCKET NO. PA02-2-000 Prepared by the Staff of the Federal Market Natural Gas Prices at California Borders Were Extraordinarily High ............ I-2 Supply Significantly Influenced Reported Spot Prices for Natural Gas in California

  4. Abstract--Load serving entities (LSE) and holders of default service obligations, in restructured electricity markets, provide

    E-Print Network [OSTI]

    Oren, Shmuel S.

    the varying demand of their customers at fixed regulated prices. Electricity consumption volume directly, in restructured electricity markets, provide electricity service at regulated or contracted fixed prices while standard forward contracts and commodity derivatives. Keywords: Electricity Markets, Risk Management

  5. Page 1 of 1 Price list for the NORTEM facilities

    E-Print Network [OSTI]

    Johansen, Tom Henning

    Page 1 of 1 Price list for the NORTEM facilities 1. April 2013 ­ 31. March 2014 The following prices apply to all activities from April 1st 2013, and should be used as a basis for applications for future funding. The price list is preliminary, changes should be expected when the full NORTEM running

  6. 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

  7. Georgia Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet) Decadefrom AllResidentialImports Price

  8. Hawaii Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home PageMonthly","10/2015"4,"Ames5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricRhodeFeet)CubicCitygate Price 17.82 22.94 31.58 32.39

  9. Applications of Nash Equilibria In Electricity Markets

    E-Print Network [OSTI]

    Lavaei, Javad

    in the stack, while high price offers are promising during peak demand. The electricity price is thereforeApplications of Nash Equilibria In Electricity Markets Term Paper Seminar Electrical Power Networks Energy #12;1. Introduction Liberalized electricity markets challenge their participants in multiple ways

  10. State Energy Price System: 1982 update

    SciTech Connect (OSTI)

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

    1984-10-01

    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.

  11. 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 and Pricing of Ancillary Services." The project title reflects the original proposal that was prepared

  12. 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

    2008-09-15

    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

  13. Modeling renewable portfolio standards for the annual energy outlook 1998 - electricity market module

    SciTech Connect (OSTI)

    NONE

    1998-02-01

    The Electricity Market Module (EMM) is the electricity supply component of the National Energy Modeling System (NEMS). The EMM represents the generation, transmission, and pricing of electricity. It consists of four submodules: the Electricity Capacity Planning (ECP) Submodule, the Electricity Fuel Dispatch (EFD) Submodule, the Electricity Finance and Pricing (EFP) Submodule, and the Load and Demand-Side Management (LDSM) Submodule. For the Annual Energy Outlook 1998 (AEO98), the EMM has been modified to represent Renewable Portfolio Standards (RPS), which are included in many of the Federal and state proposals for deregulating the electric power industry. A RPS specifies that electricity suppliers must produce a minimum level of generation using renewable technologies. Producers with insufficient renewable generating capacity can either build new plants or purchase {open_quotes}credits{close_quotes} from other suppliers with excess renewable generation. The representation of a RPS involves revisions to the ECP, EFD, and the EFP. The ECP projects capacity additions required to meet the minimum renewable generation levels in future years. The EFD determines the sales and purchases of renewable credits for the current year. The EFP incorporates the cost of building capacity and trading credits into the price of electricity.

  14. Essays in Competition and Investment in Electricity Market 

    E-Print Network [OSTI]

    Tang, Xin

    2014-11-07

    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...

  15. Noncommercial Trading in the Energy Futures Market

    Reports and Publications (EIA)

    1996-01-01

    How do futures markets affect spot market prices? This is one of the most pervasive questions surrounding futures markets, and it has been analyzed in numerous ways for many commodities.

  16. 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

  17. Production and price projections for Texas grapefruit - 1975 

    E-Print Network [OSTI]

    Tefertiller, Edward Harold

    1969-01-01

    . 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...

  18. 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

    2009-01-01

    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

  19. 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 ...

  20. Department of Electrical and Computer Engineering Fall 2011 Seminar Series

    E-Print Network [OSTI]

    Pal, Ranadip

    -time pricing and demand response, and applications of smart grid to the distributed control of electric power