Sample records for wholesale product price

  1. Coordinating a Constrained Channel with Linear Wholesale Price Contracts.

    E-Print Network [OSTI]

    Tsitsiklis, John

    Coordinating a Constrained Channel with Linear Wholesale Price Contracts. Navid Sabbaghi, Yossi, there is a set of linear wholesale price contracts that coordinates the channel while allowing the supplier-supplier/one-newsvendor channel configuration (with each supplier selling a unique product). We analyze how this set of wholesale

  2. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    Regulation and Arbitrage in Wholesale Gasoline Markets,Content Regulation and Wholesale Gasoline Prices JenniferCONTENT REGULATION AND WHOLESALE GASOLINE PRICES by Jennifer

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

    E-Print Network [OSTI]

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

  4. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

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

    1997-05-01T23:59:59.000Z

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

  5. Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets Qun Zhou--In current restructured wholesale power markets, the short length of time series for prices makes are fitted between D&O and wholesale power prices in order to obtain price scenarios for a specified time

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  7. An Empirical Investigation of the Welfare Effects of Banning Wholesale Price Discrimination

    E-Print Network [OSTI]

    Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    legislation, which bans wholesale price discrimination, in awhere manufacturers wholesale price discriminate amongNo. 92-466 (1993); for wholesale pharmaceutics see http://

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

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

  9. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

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

  10. Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Auction Basics for Wholesale Power Markets: Objectives and Pricing Rules Leigh Tesfatsion, Member to U.S. restructured wholesale power markets, i.e., centrally-administered wholesale power markets and illustrated. Complicating factors specific to wholesale power markets are clarified, and recent advances

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

  12. A Threshold Autoregressive Model for Wholesale Electricity Prices

    E-Print Network [OSTI]

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

  13. Empirical Evidence on the Role of Non Linear Wholesale Pricing and Vertical Restraints on Cost Pass-Through

    E-Print Network [OSTI]

    Celine, Bonnet; Dubois, Pierre; Villas-Boas, Sofia B.

    2009-01-01T23:59:59.000Z

    Welfare E?ects of Banning Wholesale Price Discrimination,”non linear contracts when wholesale price discrimination ison the role of non- linear wholesale pricing and vertical

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

    E-Print Network [OSTI]

    2004-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Joskow, Paul; Kahn, Edward

    2004-06-16T23:59:59.000Z

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

  17. Pricing trends in the US market for wholesale power

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

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

  18. Fulton Fish Market: Wholesale Prices for Clams 2003 Aquaculture Survey 1

    E-Print Network [OSTI]

    Florida, University of

    Fulton Fish Market: Wholesale Prices for Clams 2003 Aquaculture Survey 1 Fulton Fish Market Prices or by accessing www.nass.usda.gov/fl. The wholesale selling prices listed by the New York Fulton Fish Market are for a 400-count bag. The average wholesale price for a Florida clam has dropped from 22.8 to 15.7 cents

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

    E-Print Network [OSTI]

    Owen, Cynthia Jane

    1987-01-01T23:59:59.000Z

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

  20. Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Effects of Price-Responsive Residential Demand on Retail and Wholesale Power Market Operations/C) on integrated retail and wholesale power market operations. The physical operations of the A/C sys- tem at wholesale conditional on A/C load, and the retail energy prices offered to residential A/C consumers

  1. 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 ...

  2. Price controls and international petroleum product prices

    SciTech Connect (OSTI)

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

    1980-02-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

  4. Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid-determining) generation companies induce correlations among neighboring LMPs. Index Terms--Restructured wholesale power

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

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

    E-Print Network [OSTI]

    Borenstein, Severin

    1999-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Sandiford, Mike

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

  8. Abstract--Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Abstract-- Although Locational Marginal Pricing (LMP) plays an important role in many Terms-- Locational marginal pricing, wholesale power market, AC optimal power flow, DC optimal power congestion by means of Locational Marginal Pricing (LMP), i.e., the pricing of power by the location

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

    E-Print Network [OSTI]

    Marathe, Achla

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

  10. Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate

    E-Print Network [OSTI]

    Oren, Shmuel S.

    1 Integrating Renewable Energy Contracts and Wholesale Dynamic Pricing to Serve Aggregate Flexible energy, dynamic programming. I. INTRODUCTION Dynamic pricing has the potential to materialize the poten many of the operational problems that arise from renewable energy integration through dynamic pricing

  11. The role of content regulation on pricing and market power in regional retail and wholesale gasoline markets

    E-Print Network [OSTI]

    Muehlegger, Erich J.

    2002-01-01T23:59:59.000Z

    Since 1999, regional retail and wholesale gasoline markets in the United States have experienced significant price volatility, both intertemporally and across geographic markets. This paper focuses on one potential explanation ...

  12. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

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

  13. 2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

  14. 2007 Wholesale Power Rate Case Initial Proposal : Market Price Forecast Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    This chapter presents BPA's market price forecasts, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's rates. AURORA is used as the primary tool for (a) calculation of the demand rate, (b) shaping the PF rate, (c) estimating the forward price for the IOU REP settlement benefits calculation for fiscal years 2008 and 2009, (d) estimating the uncertainty surrounding DSI payments, (e) informing the secondary revenue forecast and (f) providing a price input used for the risk analysis.

  15. Impact of U.S. Wholesale Demand for Canned Sardines on Market Accessibility of Potential Gulf of Mexico Products

    E-Print Network [OSTI]

    Impact of U.S. Wholesale Demand for Canned Sardines on Market Accessibility of Potential Gulf market, three product groups, which comprise the market, are analyzed at the wholesale level to detennine can to a 425 round no. 1 tall can (Lanier, 1981). In this paper we examine the U.S. wholesale demand

  16. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    IV. v. Retail Marketers . . Wholesale Marketers Explanationof Supportive Data Wholesale and Retail Fuel Oil MarketPRICES II-1 II-3 II-3 Wholesale Prices to Wholesalers and

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2004-07-01T23:59:59.000Z

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

  19. FirstChoice Wholesale Investments

    E-Print Network [OSTI]

    Peters, Richard

    FirstChoice Wholesale Investments Product Disclosure Statement Including FirstRate Wholesale Saver Colonial First State 1 2 Benefits of investing in FirstChoice Wholesale Investments 1 3 How FirstChoice Wholesale Investments works 2 4 Risks of investing 2 5 Fees and other costs 6 6 How managed investment

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

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

  1. Price discovery in the wholesale markets for maize and beans in Uganda 

    E-Print Network [OSTI]

    Kuteesa, Annette

    2006-08-16T23:59:59.000Z

    , as a result of competition between markets, is not known and questions of market effectiveness still stand. This study examines market efficiency based upon response to price signals across Ugandan markets. We focus on information exchange for maize...

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

    E-Print Network [OSTI]

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

  3. Price discovery in the wholesale markets for maize and beans in Uganda

    E-Print Network [OSTI]

    Kuteesa, Annette

    2006-08-16T23:59:59.000Z

    and beans among 16 key markets. We study weekly price data from the first week of 2000 to the last week of 2003 from each of the sixteen markets. Each commodity is studied separately using Vector Autoregessions (VARs) and Directed Acyclic Graphs (DAGs...

  4. The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles

    E-Print Network [OSTI]

    Lewis, Matt; Noel, Michael

    2009-01-01T23:59:59.000Z

    Columbus, OH. , “Temporary Wholesale Gasoline Price Spikesrespond fairly slowly to wholesale price changes. This doesand asymmetrically to wholesale costs, with cost increases

  5. Countervailing Power in Wholesale Pharmaceuticals Sara Fisher Ellison Christopher M. Snyder

    E-Print Network [OSTI]

    Lotko, William

    Countervailing Power in Wholesale Pharmaceuticals Sara Fisher Ellison Christopher M. Snyder M liter- ature. We test the theories using data on wholesale prices for antibiotics sold to large

  6. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

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

  7. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    flow directly from the refinery to wholesaler, to retailer,of No. 2 heating oil for the refinery, wholesale and retailfirst system monitored refinery, wholesale and retail price

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

    E-Print Network [OSTI]

    2004-01-01T23:59:59.000Z

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

  9. Advance Booking Programs for Managing Supply, Demand, and Price Risks

    E-Print Network [OSTI]

    Cho, S.-H.; Tang, C. S.

    2010-01-01T23:59:59.000Z

    the manufacturer sets his wholesale price and the retailerto Yadav (2009), the wholesale price for pre-book orderscan be lower but the wholesale price for regular orders can

  10. Financial Bilateral Contract Negotiation in Wholesale Electricity Markets

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Financial Bilateral Contract Negotiation in Wholesale Electricity Markets Using Nash Bargaining and a load-serving entity in a wholesale electric power market with congestion managed by locational marginal and price biases. Index Terms--Wholesale electricity market, financial bilateral contract, negotiation

  11. Consensus Coal Production And Price Forecast For

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Consensus Coal Production And Price Forecast For West Virginia: 2011 Update Prepared for the West December 2011 © Copyright 2011 WVU Research Corporation #12;#12;W.Va. Consensus Coal Forecast Update 2011 i Table of Contents Executive Summary 1 Recent Developments 3 Consensus Coal Production And Price Forecast

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

    E-Print Network [OSTI]

    Zachmann, Georg

    2007-01-01T23:59:59.000Z

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

  13. The efficiency of wholesale vs. retail competition in electricity

    SciTech Connect (OSTI)

    Bohi, D.R.; Palmer, K. [Resources for the Future, Washington, DC (United States)] [Resources for the Future, Washington, DC (United States)

    1996-10-01T23:59:59.000Z

    If markets are sufficiently competitive, the retail model of restructuring is likely to produce a greater array of products and services and lower electricity prices, but the wholesale model may yield lower transaction costs and better encourage transmission investment. Which model is best? The answer is not known yet. A central issue in the debate over restructuring the electric power industry is the extent to which the market should be opened to competition. One aspect of this debate is whether competition ought to be restricted to the wholesale power market or extended all the way to retail customers. Some state regulators have recommended retail competition, while others, including the U.S. Department of Energy, prefer to limit competition to the wholesale level, at least until experience warrants taking the additional step. The purpose of this paper is to describe some of the potential differences in economic efficiency that could arise between the wholesale and retail competition models. The comparison is limited to the qualitative properties of two hypothetical market structures that are intended to reflect the essential differences between wholesale and retail competition. The authors are not concerned with problems of getting from today`s market structure to either end state.

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

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

  15. Price and Inventory Competition in Oligopoly TV White Space Markets

    E-Print Network [OSTI]

    Huang, Jianwei

    's wholesale pricing strategy on the market equilibrium. Specifically, we analytically show how the wholesale further propose two different spectrum wholesale pricing strategies that maximize the database manager between these two wholesale pricing strategies. Index Terms--TV White Space, Price and Inventory

  16. Product Guide Category Prices Volumes

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14Table 4. U.S.Feet)348,016.012,444.5Product

  17. Pricing Decisions during Inter-generational Product Transition

    E-Print Network [OSTI]

    Graves, Stephen C.

    Pricing Decisions during Inter-generational Product Transition November 2007, revised November 2008-mail: sgraves@mit.edu #12;Pricing Decisions during Inter-generational Product Transition November 2007, revised November 2008 Abstract How should companies price products during an inter-generational transition? High

  18. Production and price projections for Texas grapefruit - 1975 

    E-Print Network [OSTI]

    Tefertiller, Edward Harold

    1969-01-01T23:59:59.000Z

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

  19. Ethanol Production and Gasoline Prices: A Spurious Correlation

    E-Print Network [OSTI]

    Rothman, Daniel

    Ethanol Production and Gasoline Prices: A Spurious Correlation Christopher R. Knittel and Aaron proponents of ethanol have argued that ethanol production greatly lowers gasoline prices, with one industry group claiming it reduced gasoline prices by 89 cents in 2010 and $1.09 in 2011. The estimates have been

  20. Marketing Practices and Costs of Texas Egg Producer-Wholesalers.

    E-Print Network [OSTI]

    Shafer, Carl E.

    1964-01-01T23:59:59.000Z

    the ungraded, loose desirable in order to take advantage of both labor wholesale alternative and the gra(lPr,, specialization in egg processing and market out- lets which require large volumes. Producers cartoned retailer-consumer alternative. Groupretail A, B and C's presence in the market may be outlets at wholesale prices and/or directly to explained in part by their accepting low returnc for their labor and investment and/or the receipt consumers at prices...

  1. Probabilistic Choice Models for Product Pricing using Reservation ...

    E-Print Network [OSTI]

    2007-02-03T23:59:59.000Z

    Feb 1, 2007 ... purchase a product can be swayed by the relative prices of similar ...... power of integer and convex nonlinear programming techniques and we ...

  2. Joint pricing and inventory decision for competitive products

    E-Print Network [OSTI]

    Ye, Kelly (Kelly Yunqing)

    2008-01-01T23:59:59.000Z

    We consider the joint pricing and inventory decision problem for a single retailer who orders, stocks and sells multiple products. The products are competitive in nature, e.g., these maybe similar products from multiple ...

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

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

  4. WORKING PAPER N 2013 27 Evaluating the law of one price using micro panel data

    E-Print Network [OSTI]

    Boyer, Edmond

    François-Charles Wolff Patrice Guillotreau JEL Codes: L11, Q22, R32 Keywords: Fish, Commodity price, Local This paper investigates spatial variations in product prices using an exhaustive micro dataset on fish transactions. The data record all transactions between vessels and wholesalers that occur on local fish markets

  5. Single-Product Pricing via Robust Optimization

    E-Print Network [OSTI]

    2006-01-30T23:59:59.000Z

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

  6. Optimal Pricing Policies for Perishable Products

    E-Print Network [OSTI]

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

  7. The Speed of Gasoline Price Response in Markets With and Without Edgeworth Cycles

    E-Print Network [OSTI]

    Lewis, Matt; Noel, Michael

    2009-01-01T23:59:59.000Z

    3, 2009 Abstract Retail gasoline prices are known to respondspeed with which retail gasoline prices respond to wholesaleDeltas, George, “Retail Gasoline Price Dynamics and Local

  8. Gasoline Price Differences: Taxes, Pollution Regulations, Mergers, Market Power, and Market Conditions

    E-Print Network [OSTI]

    Chouinard, Hayley; Perloff, Jeffrey M.

    2002-01-01T23:59:59.000Z

    of Information and Retail Gasoline Price Behavior: Anform wholesale and retail gasoline price equations usingfor some of the retail gasoline price dispersion within a

  9. Maximum Utility Product Pricing Models and Algorithms Based on ...

    E-Print Network [OSTI]

    2007-04-16T23:59:59.000Z

    Apr 15, 2007 ... We consider a revenue management model for pricing a product line with several customer segments .... in a tie (in terms of the underlying utilities) for the best price for a customer segment. Without ...... However, the heuristic appears to make very few reassignments in practice. ...... CPLEX 9.1 User Manual.

  10. asymmetric price responses: Topics by E-print Network

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

    has been documented that retail gasoline prices respond more quickly to increases in wholesale price than to decreases. However, there is very little theoretical or empirical...

  11. asymmetric price adjustments: Topics by E-print Network

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

    has been documented that retail gasoline prices respond more quickly to increases in wholesale price than to decreases. However, there is very little theoretical or empirical...

  12. The role of vibrant retail electricity markets in assuring that wholesale power markets operate effectively

    SciTech Connect (OSTI)

    Goulding, A.J.; Rufin, C.; Swinand, G.

    1999-12-01T23:59:59.000Z

    Barriers to competitive supplier entry such as California's wholesale-price pass-through model can provide an almost insurmountable barrier to effective retail competition. The telecommunications, airline, and software industries provide lessons--positive and negative--on how creating competitive wholesale markets is insufficient to bring the benefits of competition to smaller consumers.

  13. Measuring Market Inefficiencies in California's Restructured Wholesale Electricity Market

    E-Print Network [OSTI]

    Borenstein, Severin; Bushnell, Jim; Wolak, Frank A.

    2002-01-01T23:59:59.000Z

    Behavior In Califor- nia's Wholesale Electricity Marketin deregu- lated wholesale electricity markets," RANDin California’s Restructured Wholesale Electricity Market

  14. Diagnosing Market Power in California's Deregulated Wholesale Electricity Market

    E-Print Network [OSTI]

    Borenstein, Severin; Bushnell, James; Wolak, Frank

    1999-01-01T23:59:59.000Z

    in dereg- ulated wholesale electricity markets," RANDin California's Deregulated Wholesale Electricity MarketEffective competition in wholesale electricity markets is

  15. 2007 Wholesale Power Rate Case Initial Proposal : Wholesale Power Rate Development Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2007-11-01T23:59:59.000Z

    The Wholesale Power Rate Development Study (WPRDS) calculates BPA proposed rates based on information either developed in the WPRDS or supplied by the other studies that comprise the BPA rate proposal. All of these studies, and accompanying documentation, provide the details of computations and assumptions. In general, information about loads and resources is provided by the Load Resource Study (LRS), WP-07-E-BPA-01, and the LRS Documentation, WP-07-E-BPA-01A. Revenue requirements information, as well as the Planned Net Revenues for Risk (PNNR), is provided in the Revenue Requirement Study, WP-07-E-BPA-02, and its accompanying Revenue Requirement Study Documentation, WP-07-E-BPA-02A and WP-07-E-BPA-02B. The Market Price Forecast Study (MPFS), WP-07-E-BPA-03, and the MPFS Documentation, WP-07-E-BPA-03A, provide the WPRDS with information regarding seasonal and diurnal differentiation of energy rates, as well information regarding monthly market prices for Demand Rates. In addition, this study provides information for the pricing of unbundled power products. The Risk Analysis Study, WP-07-E-BPA-04, and the Risk Analysis Study Documentation, WP-07-E-BPA-04A, provide short-term balancing purchases as well as secondary energy sales and revenue. The Section 7(b)(2) Rate Test Study, WP-07-E-BPA-06, and the Section 7(b)(2) Rate Test Study Documentation, WP-07-E-BPA-06A, implement Section 7(b)(2) of the Northwest Power Act to ensure that BPA preference customers firm power rates applied to their general requirements are no higher than rates calculated using specific assumptions in the Northwest Power Act.

  16. 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 ...

  17. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

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

  18. obligations. When these products are obtained at fixed prices

    E-Print Network [OSTI]

    Gross, George

    al. have failed to properly analyze these fixed- price full-requirements load- following products and Andrew Lemon, Power Procurement: What's in Your Mix?, PUB. UTIL. FORTNIGHTLY, Nov. 2006, at 50. 4. Load-following of generation assets in New England has become less concentrated following the use of load-following products

  19. Supreme court agrees: FERC must regulate wholesale markets

    SciTech Connect (OSTI)

    Wolak, Frank A. (Holbrook Working Professor of Commodity Price Studies, Department of Economics, Stanford University)

    2008-08-15T23:59:59.000Z

    The author believes that wholesale markets in the United States would have a greater likelihood of ultimately benefiting consumers if the Federal Energy Regulatory Commission did not have the mandate under the Federal Power Act (FPA) to ensure that wholesale prices are ''just and reasonable.'' However, he continues to believe that the FERC cannot avoid having an ex post criteria for asssessing whether market prices are just and reasonable. Moreover, changes in the design and regulatory oversight of U.S. wholesale electricity markets in recent years, including the recent Supreme Court decision, have caused him to believe even more strongly in the guardrails-for-market-outcomes approach. Finally, several questions are addressed which relate to the pricing of fixed-price, long-term contracts and the impact of these obligations on the behavior of suppliers in short-term wholesale markets that are directly relevant to answering the two major questions that the Supreme Court remanded to FERC in its recent decision.

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    -source agent-based test bed developed by the authors. AMES models a restructured wholesale power market test bed, locational marginal prices, demand-bid price sensitivity, supply-offer price caps, learning to as the Wholesale Power Market Platform (WPMP). As detailed in [3], versions of the WPMP have been implemented (or

  1. Contractual Pricing Problems for Retail Distribution under Different Channel Structures

    E-Print Network [OSTI]

    Zhao, Su

    2014-12-09T23:59:59.000Z

    and Mallik (2010)) examining this setting under the wholesale price contract from supplier-driven perspective, the prior work considers Bertrand com- petition (Bertrand (1883)) between buyers. That is, “In the Bertrand model, firms simultaneously choose... of competing on quantities or prices after observing the suppliers’ wholesale prices. However, either Cournot or Bertrand competition is not involved in the buyer-driven channel. It is because after observing the suppliers’ wholesale prices, the buyers’ retail...

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

    SciTech Connect (OSTI)

    Ferrell, M.L.

    1995-12-31T23:59:59.000Z

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

  3. An Autonomous Agent Application for Product Pricing Nikolaos Spanoudakis1,2

    E-Print Network [OSTI]

    Moraitis, Pavlos

    An Autonomous Agent Application for Product Pricing Nikolaos Spanoudakis1,2 , Pavlos Moraitis2 1-based approach for automating the decision making process of an autonomous agent for pricing products. Product pricing usually involves different decision makers with different - possibly conflicting - points of view

  4. Response to "Ethanol Production and Gasoline Prices: A Spurious Correlation" by Knittel and Smith

    E-Print Network [OSTI]

    Rothman, Daniel

    Response to "Ethanol Production and Gasoline Prices: A Spurious Correlation" by Knittel and Smith Beardshear Hall, (515) 294-7612." #12;1 Response to "Ethanol Production and Gasoline Prices: A Spurious Relating Ethanol Production to Gasoline Prices" written by myself and Xiadong Du, and published in 2009

  5. Dynamic Testing of Wholesale Power Market Designs

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Dynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework1 Junjie Sun ­ the Wholesale Power Market Platform (WPMP) ­ for common adoption by all U.S. wholesale power markets. Versions development and open-source implementation (in Java) of a computational wholesale power market organized

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

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

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

  7. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    locational marginal price (LMP) for the Hourly DA_RTP pricingpricing structure for wholesale markets. For example, ISO-NE’s hourly locational marginal

  8. An evaluation of product formulas as an alternative to the Minnesota-Wisconsin price series

    E-Print Network [OSTI]

    Keough, Mary J

    1990-01-01T23:59:59.000Z

    (Chair of Committee) William S. Neilson (Member) David A. Bessler (Member) A. Gene Nelson (Head of Department) December 1990 ABSTRACT An Evaluation of Product Formulas as an Alternative to the Minnesota-Wisconsin Price Series. (December 1990... BEHAVIOR OF THE MINNESOTA-WISCONSIN PRICE SERIES 10 10 11 14 14 15 16 17 20 26 The 1970s The 1980s 28 37 PRODUCf FORMUIAS AS AN ALTERNATIVE TO THE M-W PRICE SERIES . 51 Product Price Formulas Consequences of Product Price Formulas Product...

  9. The Effect of Changing Input and Product Prices on the Demand for Irrigation Water in Texas

    E-Print Network [OSTI]

    Lacewell, R. D.; Condra, G. D.

    uncertainties which often have not disturbed the policy-maker in evaluating alternatives. Product prices have risen and fallen at an unprecedented rate while input prices have steadily risen at rates which preclude realistic budgeting. For example, during...

  10. Prices J F M A M J J A S O N D

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

    7 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual Fuel Oil Prices and Volumes Figure Volumes J F M A M J J...

  11. Prices J F M A M J J A S O N D

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

    6 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual Fuel Oil Prices and Volumes Figure Volumes J F M A M J J...

  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)

    NONE

    1997-08-01T23:59:59.000Z

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

  13. Integrated Retail & Wholesale Power System Operation

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail & Wholesale Power System Operation with Smart-Grid Functionality PIs: Dionysios Retail/Wholesale Power System Operation with Smart-Grid Functionality Project PIs: Dionysios Aliprantis (open-source release): AMES Wholesale Power Market Testbed (ISU) + GridLAB-D distribution platform (DOE

  14. Modeling consumer preferences for status-signaling brands: branding, pricing, and product-line decisions

    E-Print Network [OSTI]

    Becerril Arreola, Rafael

    2013-01-01T23:59:59.000Z

    to such products. Hybrid cars, for example, are associatedThus, individuals may use hybrid cars to portray themselvesefficient though expensive hybrid cars. The price premium

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

    E-Print Network [OSTI]

    Kogan, Leonid

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

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

  17. Pricing and licensing of software products and services : a study on industry trends

    E-Print Network [OSTI]

    Nayak, Shivashis

    2006-01-01T23:59:59.000Z

    The software product business reached the $150 billion mark at the end of 2005. The pricing and licensing of new products, maintenance services, services and service maintenance have become an important strategy to deliver ...

  18. 1996 Wholesale Power and Transmission Rate Schedules.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1996-10-01T23:59:59.000Z

    Bonneville Power Administration`s (BPA) 1996 Wholesale Power Rate Schedules, 1996 Ancillary Products and Services Rate Schedule, 1996 Transmission Rate Schedules, and General Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1996. These rate schedules and provisions were approved by the Federal Energy Regulatory Commission (FERC), United States Department of Energy, in September 1996 (Docket Nos EF96-2011-000 and EF96f-2021-000). These rate schedules and General Rate Schedule Provisions were approved on a final basis by the FERC July 30, 1997, in Dept. of Energy--Bonneville Power Administration, Docket Nos. EF96-2011-000 and EF96-2021-000. Except as noted elsewhere, these 1996 rate schedules and provisions supersede BPA`s Wholesale Power Rate Schedules and General Rate Schedule Provisions, and Transmission Rate Schedules and General Transmission Rate Schedule Provisions, effective October 1, 1995. These rate schedules and general rate schedule provisions include all errata.

  19. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    table. 56 Energy Information AdministrationPetroleum Marketing Annual 2000 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  20. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

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

    table. 56 Energy Information Administration Petroleum Marketing Annual 1995 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  1. Efficient Heuristic Algorithms for Maximum Utility Product Pricing ...

    E-Print Network [OSTI]

    2012-11-19T23:59:59.000Z

    Nov 19, 2012 ... [5] V. Guruswami, J. Hartline, A. Karlin, D. Kempe, C. Kenyon, and F. McSherry. On profit- maximizing envy-free pricing. Proceedings of the ...

  2. REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS...

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

    REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY The...

  3. The Value of Distributed Generation and CHP Resources in Wholesale...

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

    The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, September 2005 The Value of Distributed Generation and CHP Resources in Wholesale Power Markets,...

  4. Value of Irrigation Water with Alternative Input Prices, Product Prices and Yield Levels: Texas Coastal Bend, Cross Timbers, Deep East, Edwards Aquifer, El Paso, Gulf Coast, Lower South Central, Rolling Plains, Trans Pecos and Winter Garden Regions

    E-Print Network [OSTI]

    Sprott, J. M.; Lacewell, R. D.; Beattie, B. R.

    of irrigation water in agricultural production stems in part from rapid change in prices paid for farm inputs and prices received for farm products. The past two years have been a period of abrupt and large increases in prices. Prices of some farm products have...

  5. Understanding the link between aggregated industrial production and the carbon price

    E-Print Network [OSTI]

    Boyer, Edmond

    the link between aggregated industrial production and the carbon price. In The Economics of Green Energy Association (Boston), the BC3 Low Carbon Programme Workshop on "The Economics of Green Energy and Efficiency

  6. Economic effect on agricultural production of alternative energy input prices: Texas High Plains

    E-Print Network [OSTI]

    Adams, Benjamin Michael

    1975-01-01T23:59:59.000Z

    ECONOMIC EFFECT ON AGRICULTURAL PRODUCTION OF ALTERNATIYE ENERGy INPUT PRICES: TEXAS HIGH PLAlNS A Thesis by BENJAMIN MICHAEL ADAMS Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement... for the degree of MASTER OF SCIENCE December 1975 Major Subject: Agricultural Economics ECONOMIC EFFECT ON AGRICULTURAL PRODUCTION OF ALTERNATIVE ENERGY INPUT PRICES: TEXAS HIGH PLAINS A Thesis by BENJAMIN MICHAEL ADAMS Approved as to style and content...

  7. The Texas Wholesale Meat Distribution Industry -- Structure, Operational Characteristics and Competitive Practices.

    E-Print Network [OSTI]

    Dietrich, Raymond A.

    1976-01-01T23:59:59.000Z

    [Blank Page in Original Bulletin] The Texas Wholesale Meat Distribution Industry - Structure, Operational Characteristics, and Competitive Practices Mentior, of a tradehark or a proprietary product does not constitute a guarantee or warranty... regard to race, color, religion, sex, age, or national origin. [Blank Page in Original Bulletin] CONTENTS Page Highlights Introduction ............9..8...v..000..000*.00.00.t8 1 Structural Characteristics of the U . S . and Texas Wholesale Meat...

  8. World Oil Prices and Production Trends in AEO2008 (released in AEO2008)

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

    Annual Energy Outlook 2008 (AEO) defines the world oil price as the price of light, low-sulfur crude oil delivered in Cushing, Oklahoma. Since 2003, both "above ground" and "below ground" factors have contributed to a sustained rise in nominal world oil prices, from $31 per barrel in 2003 to $69 per barrel in 2007. The AEO2008 reference case outlook for world oil prices is higher than in the AEO2007 reference case. The main reasons for the adoption of a higher reference case price outlook include continued significant expansion of world demand for liquids, particularly in non-OECD (Organization for Economic Cooperation and Development) countries, which include China and India; the rising costs of conventional non-OPEC (Organization of the Petroleum Exporting Countries) supply and unconventional liquids production; limited growth in non-OPEC supplies despite higher oil prices; and the inability or unwillingness of OPEC member countries to increase conventional crude oil production to levels that would be required for maintaining price stability. The Energy Information Administration will continue to monitor world oil price trends and may need to make further adjustments in future AEOs.

  9. Spot Prices for Crude Oil and Petroleum Products

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oilAll Tables TablesPricesSpot Prices (Crude

  10. Petroleum Products Table 31. Motor Gasoline Prices by Grade...

    Gasoline and Diesel Fuel Update (EIA)

    82.4 77.1 68.9 62.6 71.6 92.3 89.9 82.6 72.7 - 78.2 See footnotes at end of table. 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State 56 Energy Information...

  11. The potential impacts of a competitive wholesale market in the midwest: A preliminary examination of centralized dispatch

    SciTech Connect (OSTI)

    Lesieutre, Bernard C.; Bartholomew, Emily; Eto, Joseph H.; Hale, Douglas; Luong, Thanh

    2004-07-01T23:59:59.000Z

    In March 2005, the Midwest Independent System Operator (MISO) will begin operating the first-ever wholesale market for electricity in the central and upper Midwestern portion of the United States. Region-wide, centralized, security-constrained, bid-based dispatch will replace the current system of decentralized dispatch by individual utilities and control areas. This report focuses on how the operation of generators may change under centralized dispatch. We analyze a stylized example of these changes by comparing a base case dispatch based on a ''snapshot'' taken from MISO's state estimator for an actual, historical dispatch (4 p.m., July 7, 2003) to a hypothetical, centralized dispatch that seeks to minimize the total system cost of production, using estimated cost data collected by the EIA. Based on these changes in dispatch, we calculate locational marginal prices, which in turn reveals the location of congestion within MISO's footprint, as well as the distribution of congestion revenues. We also consider two sensitivity scenarios that examine (1) the effect of changes in MISO membership (2003 vs. 2004 membership lists), and (2) different load and electrical data, based on a snapshot from a different date and time (1 p.m., Feb. 18, 2004). Although our analysis offers important insights into how the MISO market could operate when it opens, we do not address the question of the total benefits or costs of creating a wholesale market in the Midwest.

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

    E-Print Network [OSTI]

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

  13. Gasoline price data systems

    SciTech Connect (OSTI)

    Not Available

    1980-05-01T23:59:59.000Z

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

  14. 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 ...

  15. Essays on gasoline price spikes, environmental regulation of gasoline content, and incentives for refinery operation

    E-Print Network [OSTI]

    Muehlegger, Erich J

    2005-01-01T23:59:59.000Z

    Since 1999, regional retail and wholesale gasoline markets in the United States have experienced significant price volatility, both intertemporally and across geographic markets. In particular, gasoline prices in California, ...

  16. Exemption from Wholesale Energy Transaction Tax (Montana)

    Broader source: Energy.gov [DOE]

    Electricity from wind generation on state lands is exempt from the wholesale energy transaction tax of $0.00015/kWh transmitted. Electricity from any source, including renewables, that is generated...

  17. 2012 Wholesale Power and Transmission Rate

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

    the meaning given such term in section 3.3.5. "COU Parties' PF Rate" means any BPA wholesale power rate for service to COUs' "general requirements" (as defined in section...

  18. Predicting market power in wholesale electricity markets

    E-Print Network [OSTI]

    Newbery, David

    Predicting market power in wholesale electricity markets#3; David M Newbery Faculty of Economics, University of Cambridge August 26, 2008 Abstract The traditional measure of market power is the HHI, which gives implausible results given the low... that should give a more reliable relationship. 1 Introduction Electricity wholesale markets in Europe are typically very concentrated, and in most Continental countries the two largest generation companies provide more than 50% of domestic supply. Where...

  19. Open Automated Demand Response Communications in Demand Response for Wholesale Ancillary Services

    E-Print Network [OSTI]

    Kiliccote, Sila

    2010-01-01T23:59:59.000Z

    in Demand Response for Wholesale Ancillary Services Silain Demand Response for Wholesale Ancillary Services Silasuccessfully in the wholesale non- spinning ancillary

  20. Measuring Unilateral Market Power in Wholesale Electricity Markets: The California Market 1998 - 2000

    E-Print Network [OSTI]

    Wolak, Frank

    2003-01-01T23:59:59.000Z

    in California’s Restructured Wholesale Electricity Market,”Remedies for California Wholesale Electric Markets (IssuedUnilateral Market Power in Wholesale Electricity Markets:

  1. Understanding the Benefits of Dispersed Grid-Connected Photovoltaics: From Avoiding the Next Major Outage to Taming Wholesale Power Markets

    SciTech Connect (OSTI)

    Letendre, Steven E.; Perez, Richard

    2006-07-15T23:59:59.000Z

    Thanks to new solar resource assessment techniques using cloud cover data available from geostationary satellites, it is apparent that grid-connected PV installations can serve to enhance electric grid reliability, preventing or hastening recovery from major power outages and serving to mitigate extreme price spikes in wholesale energy markets. (author)

  2. EIS-0016: Cumulative Production/Consumption Effects of the Crude Oil Price Incentive Rulemakings, Programmatic

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy prepared this Final Statement to FEA-FES-77-7 to assess the environmental and socioeconomic implications of a rulemaking on crude oil pricing incentives as pertains to the full range of oil production technologies (present as well as anticipated.)

  3. Santee-3-E Wholesale Power Rate Schedule | Department of Energy

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

    Santee-3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public...

  4. World Oil Prices and Production Trends in AEO2009 (released in AEO2009)

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    The oil prices reported in Annual Energy Outlook 2009 (AEO) represent the price of light, low-sulfur crude oil in 2007 dollars. Projections of future supply and demand are made for "liquids," a term used to refer to those liquids that after processing and refining can be used interchangeably with petroleum products. In AEO2009, liquids include conventional petroleum liquids -- such as conventional crude oil and natural gas plant liquids -- in addition to unconventional liquids, such as biofuels, bitumen, coal-to-liquids (CTL), gas-to-liquids (GTL), extra-heavy oils, and shale oil.

  5. REVIEW OF MAE RULES FOR THE BRAZILIAN WHOLESALE ELECTRICITY MARKET

    E-Print Network [OSTI]

    Oren, Shmuel S.

    REVIEW OF MAE RULES FOR THE BRAZILIAN WHOLESALE ELECTRICITY MARKET Prepared by Shmuel S. Oren, Ph MAE rules for the Brazilian wholesale electricity market as described in the document distributed and calculation of capacity payments to generators, which are augmented on a prorata basis to the wholesale

  6. Retailer-Wholesaler Response to State-Sponsored Marketing

    E-Print Network [OSTI]

    Neimark, Alexander V.

    Retailer-Wholesaler Response to State-Sponsored Marketing Programs: The Case of Jersey Fresh Ramu #12;Retailer-Wholesaler Response to State-Sponsored Marketing Programs: The Case of Jersey Fresh Ramu is expressed to each and every participant of the retailer and wholesaler focus group meeting and mail survey

  7. Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF)

    E-Print Network [OSTI]

    Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF) Oak Ridge National Laboratory at the wholesaler/distributor level or below. This presents additional challenges in tracking untaxed fuel after approved ORNL's plan to conduct a Phase II Pilot Test titled Safeguarding Truck-Shipped Wholesale

  8. A Study of Central Auction Based Wholesale Electricity Markets

    E-Print Network [OSTI]

    Gatti, Nicola

    A Study of Central Auction Based Wholesale Electricity Markets S. Ceppi and N. Gatti Dipartimento is the automation of such markets. In particular, we focus our attention on wholesale elec- tricity markets based works presented in the literature model wholesale markets as oligopolies, neglecting thus the specific

  9. CSEM WP 114 Measuring Unilateral Market Power in Wholesale

    E-Print Network [OSTI]

    California at Berkeley. University of

    CSEM WP 114 Measuring Unilateral Market Power in Wholesale Electricity Markets: The California, Suite 5 Berkeley, California 94720-5180 www.ucei.org #12;Measuring Unilateral Market Power in Wholesale electricity suppliers in the California had to exercise market power in the state's wholesale market during

  10. Dutch Wholesale Company Highway 57 North Elnora, IN 47529

    E-Print Network [OSTI]

    2011 Dutch Wholesale Company Highway 57 North · Elnora, IN 47529 TOLL FREE: (800) 472-9178 · FAX States only. J enclosed is a check payable to Dutch Wholesale Company J J please send payment with your! Thank You! Dutch Wholesale Company Highway 57 North Elnora, IN 47529 Phone: (800) 472-9178 Fax: (812

  11. The bridge across is better known as Marketing. The process of turning your ideas into products, finding the right price for the product, getting it

    E-Print Network [OSTI]

    Habib, Ayman

    , finding the right price for the product, getting it to the market, and communicating your product, pricing, and integrated marketing communications. Only when you understand where these pieces fit to survive. Industries where marketers excel include: Banks, insurance companies Oil and Gas exploration

  12. ,"U.S. Refiner Petroleum Product 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 onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1 U.S. Department of Energygasoline4 Space2.9Petroleum Product

  13. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  14. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    are added to gasoline at the terminal. Therefore, gasolinegasoline from one market and shipping it to another. These firms may own terminals

  15. Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices

    E-Print Network [OSTI]

    Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

    2007-01-01T23:59:59.000Z

    Regulation Date Utica N Y Harrisburg PA, Philadelphia P AOdessa T X , Tucson A Z Harrisburg PA, Roanoke V A Austin TK S Sinking Springs P A Harrisburg PA, Macungie P A Tucson A

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

    E-Print Network [OSTI]

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

  17. Wholesale Heating Oil Weekly Heating Oil and Propane Prices (October -

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOEWest4 Paul M.March)

  18. Wholesale Propane Weekly Heating Oil and Propane Prices (October - March)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14TotalTheE. Great Basin Oil andBOEWest4 Paul

  19. New wholesale power market design using linked forward markets : a study for the DOE energy storage systems program.

    SciTech Connect (OSTI)

    Silva Monroy, Cesar Augusto; Loose, Verne William; Ellison, James F.; Elliott, Ryan Thomas; Byrne, Raymond Harry; Guttromson, Ross; Tesfatsion, Leigh S. [Iowa State University, Ames, IA

    2013-04-01T23:59:59.000Z

    This report proposes a reformulation of U.S. ISO/RTO-managed wholesale electric power mar- kets for improved reliability and e ciency of system operations. Current markets do not specify or compensate primary frequency response. They also unnecessarily limit the participation of new technologies in reserve markets and o er insu cient economic inducements for new capacity invest- ment. In the proposed market reformulation, energy products are represented as physically-covered rm contracts and reserve products as physically-covered call option contracts. Trading of these products is supported by a backbone of linked ISO/RTO-managed forward markets with planning horizons ranging from multiple years to minutes ahead. A principal advantage of this reformulation is that reserve needs can be speci ed in detail, and resources can o er the services for which they are best suited, without being forced to conform to rigid reserve product de nitions. This should improve the business case for electric energy storage and other emerging technologies to provide reserve. In addition, the facilitation of price discovery should help to ensure e cient energy/reserve procurement and adequate levels of new capacity investment.

  20. Ethanol: Producting Food, Feed, and Fuel

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

    ethanol Ethanol blend prices are generally 10 cents lower Net Ethanol price at wholesale today is more than 1.50+gal lower than gasoline. Higher blends may emerge in the...

  1. 1973 projections of consumption, production, prices and crop values for Texas winter lettuce and early spring onions 

    E-Print Network [OSTI]

    Furrh, Samuel Roger

    1970-01-01T23:59:59.000Z

    1973 PROJECTIONS OF CONSUMPTION, PRODUCTION, PRICES AND CROP VALUES FOR TEXAS WINTER LETTUCE AND EARLY SPRING ONIONS A Thesis by SAMUEL ROGER FURRH Submitted to the Graduate College of Texas A&M University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE Augus t, l 9 70 Major Subject: Agricultural Economics 1973 PROJECTIONS OF CONSUMPTION, PRODUCTION, PRICES AND CROP VALUES FOR TEXAS WINTER LETTUCE AND EARLY SPRING ONIONS A Thesis SAMUEL ROGER FURRH Ap...

  2. Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India

    E-Print Network [OSTI]

    Phadke, Amol

    2007-01-01T23:59:59.000Z

    analysis indicates that wholesale competition could be oneCSEM WP 152 Feasibility of Wholesale Electricity CompetitionFeasibility of Wholesale Electricity Competition in a

  3. The potential impacts of a competitive wholesale market in the midwest: A preliminary examination of centralized dispatch

    E-Print Network [OSTI]

    Lesieutre, Bernard C.; Bartholomew, Emily; Eto, Joseph H.; Hale, Douglas; Luong, Thanh

    2004-01-01T23:59:59.000Z

    Impacts of a Competitive Wholesale Market in the Midwest: AImpacts of a Competitive Wholesale Market in the Midwest: AImpacts of a Competitive Wholesale Market in the Midwest: A

  4. Texas Wholesale Market for Christmas Trees.

    E-Print Network [OSTI]

    Sorensen, H. B. (Harold B.); Smith, W. A.

    1964-01-01T23:59:59.000Z

    Wholesale Market for 7 :. @EXAS A&M UNIVERSITY . TEXAS AGRICULTURAL EXPERIMENT STATION R. E. Patterson, Director, College Station, Texas trees might capture as much as one-half of the more than 2 million Texas evergreen tree market. Wl...~olesale Christmas tree markets for Dallas, Houston and San Antonio were investigated during the 1962 Holiday Season to determine potential outlets for locally grown trees. The investigation was limited to species which could be grown in at least a part...

  5. FINAL REPORT ON PRICE MANIPULATION IN WESTERN MARKETS

    E-Print Network [OSTI]

    Laughlin, Robert B.

    FINAL REPORT ON PRICE MANIPULATION IN WESTERN MARKETS FACT-FINDING INVESTIGATION OF POTENTIAL............................................................................................................ ES-1 I. Manipulations in the California Natural Gas Spot Markets Forced Upward Pressure on Wholesale Market Natural Gas Prices at California Borders Were Extraordinarily High ............ I-2 Supply

  6. Designing pricing strategies for coordination of networked distributed energy resources

    E-Print Network [OSTI]

    Liberzon, Daniel

    Designing pricing strategies for coordination of networked distributed energy resources Bahman, by a group of distributed energy resources (DERs). The aggregator interacts with the wholesale electricity. The objective is for the aggregator to design a pricing strategy for incentivizing DERs to modify their active

  7. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    AB 32 and its Impact on Wholesale Electricity Markets JamesAB 32 and its Impact on Wholesale Electricity Markets Jamesand performance of the wholesale electricity market. One key

  8. Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market

    E-Print Network [OSTI]

    Optimal Static Hedging of Volumetric Risk in a Competitive Wholesale Electricity Market Yumi Oum wholesale electricity markets, regulated load serving entities (LSEs) and marketers with default service their obligation through combinations of long-term contracts, wholesale purchases and self

  9. Item # Item Description Unit Size Supplier # Supplier Name Price Busch Stockroom Product List

    E-Print Network [OSTI]

    Garfunkel, Eric

    Item # Item Description Unit Size Supplier # Supplier Name Price Qty On Hand Last Price Update;Item # Item Description Unit Size Supplier # Supplier Name Price Qty On Hand Last Price Update BuschGas 1.00 3,559 03/20/2014 797 Oil Vacuum Pump - 1 Liter S41455 Fisher 9.48 0 03/27/2008 796 Oil Vacuum

  10. 2007 Wholesale Power Rate Case Initial Proposal : Revenue Requirement Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The purpose of this Study is to establish the level of revenues from wholesale power rates necessary to recover, in accordance with sound business principles, the Federal Columbia River Power System (FCRPS) costs associated with the production, acquisition, marketing, and conservation of electric power. The generation revenue requirement includes: recovery of the Federal investment in hydro generation, fish and wildlife and conservation costs; Federal agencies' operations and maintenance (O&M) expenses allocated to power; capitalized contract expenses associated with non-Federal power suppliers such as Energy Northwest (EN); other power purchase expenses, such as short-term power purchases; power marketing expenses; cost of transmission services necessary for the sale and delivery of FCRPS power; and all other generation-related costs incurred by the Administrator pursuant to law.

  11. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    but not least distribution network rent. Keywords-distribution network locational marginal prices; power flow application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets load-side market participation and the use of Distribution network Locational Marginal Prices (DLMP

  12. Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants

    E-Print Network [OSTI]

    Caramanis, Michael

    -distribution network locational marginal prices; power flow; reactive power compensation; voltage control; distributed application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets to clear markets and discover dynamic Locational Marginal Prices (LMPs) that promoted more efficient

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

    E-Print Network [OSTI]

    Tsitsiklis, John

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

  14. The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets

    E-Print Network [OSTI]

    Bushnell, Jim B

    2007-01-01T23:59:59.000Z

    its Impact on Wholesale Electricity Markets James Bushnellits Impact on Wholesale Electricity Markets James Bushnell *gas emissions from electricity and perhaps other industries.

  15. australian wholesale spot: Topics by E-print Network

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

    australian wholesale spot First Page Previous Page 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 Next Page Last Page Topic Index 1 FirstChoice Wholesale...

  16. Indirect conversion of coal to methanol and gasoline: product price vs product slate

    SciTech Connect (OSTI)

    Wham, R.M.; McCracken, D.J.; Forrester, R.C. III

    1980-01-01T23:59:59.000Z

    The Oak Ridge National Laboratory (ORNL) conducts process analysis and engineering evaluation studies for the Department of Energy to provide, on a consistent basis, technical and economic assessments of processes and systems for coal conversion and utilization. Such assessments permit better understanding of the relative technical and economic potential of these processes. The objective of the work described here was to provide an assessment of the technical feasibility, economic competitiveness, and environmental acceptability of selected indirect coal liquefaction processes on a uniform, consistent, and impartial basis. Particular emphasis is placed on production of methanol as a principal product or methanol production for conversion to gasoline. Potential uses for the methanol are combustion in peaking-type turbines or blending with gasoline to yield motor fuel. Conversion of methanol to gasoline is accomplished through the use of the Mobil methanol-to-gasoline (MTG) process. Under the guidance of ORNL, Fluor Engineers and Constructors, Houston Division, prepared four conceptual process designs for indirect conversion of a Western subbituminous coal to either methanol or gasoline. The conceptual designs are based on the use of consistent technology for the core of the plant (gasification through methanol synthesis) with additional processing as necessary for production of different liquid products of interest. The bases for the conceptual designs are given. The case designations are: methanol production for turbine-grade fuel; methanol production for gasoline blending; gasoline production with coproduction of SNG; and gasoline production maximized.

  17. 2007 Wholesale Power Rate Case Initial Proposal : Risk Analysis Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The Federal Columbia River Power System (FCRPS), operated on behalf of the ratepayers of the PNW by BPA and other Federal agencies, faces many uncertainties during the FY 2007-2009 rate period. Among these uncertainties, the largest revolve around hydro conditions, market prices and river operations for fish recovery. In order to provide a high probability of making its U.S. Treasury payments, BPA performs a Risk Analysis as part of its rate-making process. In this Risk Analysis, BPA identifies key risks, models their relationships, and then analyzes their impacts on net revenues (total revenues less expenses). BPA subsequently evaluates in the ToolKit Model the Treasury Payment Probability (TPP) resulting from the rates, risks, and risk mitigation measures described here and in the Wholesale Power Rate Development Study (WPRDS). If the TPP falls short of BPA's standard, additional risk mitigation revenues, such as PNRR and CRAC revenues are incorporated in the modeling in ToolKit until the TPP standard is met. Increased wholesale market price volatility and six years of drought have significantly changed the profile of risk and uncertainty facing BPA and its stakeholders. These present new challenges for BPA in its effort to keep its power rates as low as possible while fully meeting its obligations to the U.S. Treasury. As a result, the risk BPA faces in not receiving the level of secondary revenues that have been credited to power rates before receiving those funds is greater. In addition to market price volatility, BPA also faces uncertainty around the financial impacts of operations for fish programs in FY 2006 and in the FY 2007-2009 rate period. A new Biological Opinion or possible court-ordered change to river operations in FY 2006 through FY 2009 may reduce BPA's net revenues included Initial Proposal. Finally, the FY 2007-2009 risk analysis includes new operational risks as well as a more comprehensive analysis of non-operating risks. Both the operational and non-operational risks will be described in Section 2.0 of this study. Given these risks, if rates are designed using BPA's traditional approach of only adding Planned Net Revenues for Risk (PNRR), power rates would need to recover a much larger ''risk premium'' to meet BPA's TPP standard. As an alternative to high fixed risk premiums, BPA is proposing a risk mitigation package that combines PNRR with a variable rate mechanism similar to the cost recovery adjustment mechanisms used in the FY 2002-2006 rate period. The proposed risk mitigation package is less expensive on a forecasted basis because the rates can be adjusted on an annual basis to respond to uncertain financial outcomes. BPA is also proposing a Dividend Distribution Clause (DDC) to refund reserves in excess of $800M to customers in the event net revenues in the next rate period exceed current financial forecasts.

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

    E-Print Network [OSTI]

    Sweeting, Andrew

    2001-01-01T23:59:59.000Z

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

  19. Fiber to the Premise (FTTP) Industry Structure: Implications of a Wholesale-Retail Split

    E-Print Network [OSTI]

    Sirbu, Marvin

    Fiber to the Premise (FTTP) Industry Structure: Implications of a Wholesale-Retail Split Anupam. In other cases, either out of choice or regulation, we observe the network owner (the wholesaler) leasing the shared network (wholesale-retail split). The network owner can either wholesale dark fiber or "lit

  20. Company Name: C&S Wholesale Grocers Web Site: http://weselectthebest.com/

    E-Print Network [OSTI]

    New Hampshire, University of

    Company Name: C&S Wholesale Grocers Web Site: http://weselectthebest.com/ Industry: Wholesale and rewarding. New England-based C&S Wholesale Grocers is the leading supply chain company in the food industry. It is the largest wholesale grocery supplier in the U.S and the 9th-largest privately held company in the nation

  1. An Agent-Based Computational Laboratory for Wholesale Power Market Design

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 An Agent-Based Computational Laboratory for Wholesale Power Market Design Junjie Sun and Leigh (in Java) of an agent-based compu- tational wholesale power market organized in accordance with core the Wholesale Power Market Platform (WPMP) as a template for all U.S. wholesale power markets (FERC [1

  2. 2007 Wholesale Power Rate Case Final Proposal : Risk Analysis Study Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-FS-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-FS-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-FS-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-FS-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-FSBPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

  3. 2007 Wholesale Power Rate Case Initial Proposal : Risk Analysis Study Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-E-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-E-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-E-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-E-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-E-BPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

  4. Trends in demand for retail and wholesale cuts of meat

    E-Print Network [OSTI]

    Holloway, David Wayne

    1990-01-01T23:59:59.000Z

    TRENDS IN DEMAND FOR RETAIL AND WHOLESALE CUTS OF MEAT A Thesis by DAVID WAYNE HOLLOWAY Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... December 1990 Major Subject: Agricultural Economics TRENDS IN DEMAND FOR RETAIL AND WHOLESALE CUTS OF MEAT A Thesis by DAVID WAYNE HOLLOWAY Approved as to style and content by: Donald E. Farris (Chair of Committee) Carl E. Shafer (Member) Rudo J...

  5. Paying for demand-side response at the wholesale level

    SciTech Connect (OSTI)

    Falk, Jonathan

    2010-11-15T23:59:59.000Z

    The recent FERC Notice of Public Rulemaking regarding the payment to demand-side resources in wholesale markets has engendered a great deal of comments including FERC's obligation to ensure just and reasonable rates in the wholesale market and criteria for what FERC should do (on grounds of economic efficiency) without any real focus on what that commitment would really mean if FERC actually pursued it. (author)

  6. Pollution and the price of power

    SciTech Connect (OSTI)

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

    2008-07-01T23:59:59.000Z

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

  7. 2007 Wholesale Power Rate Case Final Proposal : Load Resource Study and Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Load Resource Study (Study) represents the compilation of the load and contract obligations, contact purchases, and resource data necessary for developing BPA's wholesale power rates. The results of this Study are used to: (1) provide data to determine resource costs for the Revenue Requirement Study, WP-07-FS-BPA-02; (2) provide data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-FS-BPA-05; (3) provide load and resource data for use in the Risk Analysis Study, WP-07-FS-BPA-04; and (4) provide regional hydro data for use in the secondary revenue forecast for the Market Price Forecast Study, WP-07-FS-BPA-03. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Study Documentation, WP-07-FS-BPA-01A.

  8. 1973 projections of consumption, production, prices and crop values for Texas winter lettuce and early spring onions

    E-Print Network [OSTI]

    Furrh, Samuel Roger

    1970-01-01T23:59:59.000Z

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

  9. Measuring efficiency in wholesale electricity markets

    SciTech Connect (OSTI)

    Bowden, Nicholas S.

    2009-06-15T23:59:59.000Z

    The mechanisms of the bid-based economic dispatch and market power mitigation algorithms which result in the market clearing price epitomize the complexity of the new regulatory regime. The augmented Lerner Index presented here offers a method to objectively assess the efficiency of the new structure. (author)

  10. Wholesale Power and Transmission Rate Projections 1993--2014 and Historical Wholesale Power Rates 1939--1992.

    SciTech Connect (OSTI)

    US Bonneville Power Administration

    1993-11-01T23:59:59.000Z

    This document provides a range of high, medium, and low case long-term projections of Bonneville Power Administration`s (BPA) wholesale power rates and a medium case long-term projection of BPA`s wheeling rates. These projections are produced annually by BPA. BPA uses these projections in long-term marketing, resource, transmission, and financial planning assessments. BPA`s projections also are used by public utility commissions, utilities, and others for a variety of planning purposes. The analysis used for these rate projections assumes that current rate making methodologies continue into the future and are further based on certain assumptions about regional loads, extra-regional markets, the costs of resources, BPA`s financial requirements, and the capability of the region`s power plants. While these projections are intended to address the overall uncertainty in rate levels, BPA realizes that the future will not reflect any specific set of assumptions. The rate projections in this document have been prepared prior to the Draft 1993 BPA Marketing Plan, the implementation of which is almost certain to push BPA away from any set of assumptions in this document. Therefore, this document can be thought of as representing the ``old`` BPA with its products and policies. It can be viewed as a starting point or reference point to measure the impact of the ``new`` BPA with its Marketing Plan, and the broader undertaking referred to as the Competitiveness Project.

  11. Economic Effect on Agricultural Production of Alternative Energy Input Prices: Texas High Plains

    E-Print Network [OSTI]

    Adams, B. M.; Lacewell, R. D.; Condra, G. D.

    The Arab oil embargo of 1973 awakened the world to the reality of energy shortages and higher fuel prices. Agriculture in the United States is highly mechanized and thus energy intensive. This study seeks to develop an evaluative capability...

  12. April 24, 2001 To all retail Providers/Wholesalers/Power Pools

    E-Print Network [OSTI]

    April 24, 2001 To all retail Providers/Wholesalers/Power Pools: This letter is to alert you a tradable certificates program for use by generators, pools/wholesalers and retail providers for supporting

  13. Using Laboratory Experiments to Design Efficient Market Institutions The case of wholesale electricity markets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    1 Using Laboratory Experiments to Design Efficient Market Institutions The case of wholesale is dedicated to wholesale markets, and reviews the results accumulated to date concerning both the general

  14. 2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Wholesale Power Rate Development Study (WPRDS) serves two primary purposes. It synthesizes information supplied by the other final studies that comprise the BPA rate proposal and shows the actual calculations for BPA's power rates. In addition, the WPRDS is the primary source for certain information used in establishing the power rates. Information developed in the WPRDS includes rate design (including seasonal and diurnal shapes for energy rates, demand, and load variance rates), the risk mitigation tools (Cost Recovery Adjustment Clause (CRAC), along with the [N]ational Marine Fisheries Service [F]ederal Columbia River Power System [B]iological Opinion (NFB) Adjustment, the Emergency NFB Surcharge, and Dividend Distribution Clause (DDC)), development of the Slice rate, and all discounts and other adjustments that are included in the rate schedules and the General Rate Schedule Provisions. The WPRDS also includes the description of the methodology for the Cost of Service Analysis (COSA), and the various rate design steps necessary to establish BPA's power rates. The WPRDS also shows the calculations for inter-business line revenues and expenses, the revenue forecast and, finally, includes a description of all of the rate schedules. The actual rate schedules are shown in ''Administrator's Final Record of Decision (ROD), Appendix A: 2007 Wholesale Power Rate Schedules and General Rate Schedule Provisions, WP-07-A-02''. The WPRDS also includes the Partial Resolution of Issues, shown in Attachment 1 of the ROD. The Partial Resolution of Issues affected many of the features described in this study. These are noted where appropriate.

  15. Financial Risk Management in Restructured Wholesale Power Markets: Concepts and Tools

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Financial Risk Management in Restructured Wholesale Power Markets: Concepts and Tools Nanpeng Yu by explaining and illustrating basic financial risk management concepts relevant for wholesale power markets--Financial Risk Management, Restructured Wholesale Power Markets, Agent-Based Test Bed I. INTRODUCTION

  16. The AMES Wholesale Power Market Test Bed as a Stochastic Dynamic State-Space Game

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    The AMES Wholesale Power Market Test Bed as a Stochastic Dynamic State-Space Game Leigh Tesfatsion.econ.iastate.edu/tesfatsi/ tesfatsi@iastate.edu Last Revised: August 5, 2008 Abstract: The AMES Wholesale Power Market Test Bed wholesale power markets. These notes show how AMES can be recast in more standard state-space equation form

  17. See More Jobs From Agrium Wholesale Truck Analyst (175535-001) -(Calgary, Alberta, Western Canada, Canada)

    E-Print Network [OSTI]

    Behmer, Spencer T.

    See More Jobs From Agrium Wholesale Truck Analyst (175535-001) - (Calgary, Alberta, Western Canada, Canada) Company: Agrium Wholesale Apply below Industry Sector: Agribusiness Industry Type: Agronomy a growing world. Growth is a top priority for Agrium Wholesale and it doesn't just apply to the nutrients we

  18. SAMPLE INTERNSHIP DESCRIPTION NOT CURRENTLY OPEN FOR INFORMATION ONLY Online and Wholesale Internship

    E-Print Network [OSTI]

    SAMPLE INTERNSHIP DESCRIPTION ­ NOT CURRENTLY OPEN ­ FOR INFORMATION ONLY Online and Wholesale individuals to help support the Online and Wholesale Divisions in Portland, Oregon who: · Have an interest, and a wholesale operation. Other Global Exchange programs include a Reality Tours travel program to both U

  19. The Potential Impacts of a Competitive Wholesale Market in the Midwest: A Preliminary Examination of

    E-Print Network [OSTI]

    LBNL-56503 The Potential Impacts of a Competitive Wholesale Market in the Midwest: A Preliminary-56503 The Potential Impacts of a Competitive Wholesale Market in the Midwest: A Preliminary Examination Wholesale Market in the Midwest: A Preliminary Examination of Centralized Dispatch ii Acknowledgements

  20. Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market the generation, transmission, and distribution and introduced competition in generation, wholesale procure- ment in the wholesale market by numerous market participants such as generators, load- serving entities (LSEs

  1. Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Capacity Withholding in Restructured Wholesale Power Markets: An Agent-Based Test Bed Study test case imple- mented via the AMES Wholesale Power Market Test Bed to investigate strategic capacity withholding by generation compa- nies (GenCos) in restructured wholesale power markets under systematically

  2. Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 Integrated Retail and Wholesale Power System Operation with Smart-Grid Functionality Dionysios of retail and wholesale power markets operating over transmission and distribution networks with smart-grid functionality. This test bed seams together two existing test beds, the AMES Wholesale Power Market Test Bed

  3. Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public Utility Commission of Texas in Austin with expertise on wholesale market design and resource adequacy from the University of Illinois at Urbana-Champaign. David Hurlbut is Senior Economist at the Wholesale

  4. Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity

    E-Print Network [OSTI]

    Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market and distribution and introduced competition in generation, wholesale procure- ment, and to a limited extent in retail supply of electricity. Electricity is now bought and sold in the wholesale market by numerous

  5. The AMES Wholesale Power Market Test Bed: A Computational Laboratory for

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 The AMES Wholesale Power Market Test Bed: A Computational Laboratory for Research, Teaching, and Training Hongyan Li, Student Member, IEEE, and Leigh Tesfatsion, Member, IEEE Abstract--Wholesale power suitable for the objective study of this restructuring process. This study reports on the AMES Wholesale

  6. An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    1 An Agent-Based Test Bed Study of Wholesale Power Market Performance Measures Abhishek Somani and Leigh Tesfatsion, Member, IEEE Abstract--Wholesale power markets operating over trans- mission grids and operational inefficiency. This study uses a wholesale power market test bed with strategically learning

  7. Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail and Wholesale (IRW) Power System Operations with Smart-Grid Functionality Leigh of the Integrated Retail/Wholesale (IRW) project at Iowa State University · IRW Test Bed development · Integration-NE, MISO, XM, RTE, MEC IRW Project: Integrated Retail/Wholesale Power System Operation with Smart

  8. World Oil Prices and Production Trends in AEO2010 (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01T23:59:59.000Z

    In Annual Energy Outlook 2010, the price of light, low-sulfur (or "sweet") crude oil delivered at Cushing, Oklahoma, is tracked to represent movements in world oil prices. The Energy Information Administration makes projections of future supply and demand for "total liquids,"" which includes conventional petroleum liquids -- such as conventional crude oil, natural gas plant liquids, and refinery gain -- in addition to unconventional liquids, which include biofuels, bitumen, coal-to-liquids (CTL), gas-to-liquids (GTL), extra-heavy oils, and shale oil.

  9. Petroleum Products Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by69.6 69.1

  10. Petroleum Products Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by69.6 69.170.4

  11. Petroleum Products Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan Feb Mar AprYear JanPricePrice (Percent)by69.6

  12. Product Design in Enterprise Wide Optimization

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    Changing Distribution Model - Uncontrolled Shipping OEM Wholesale Wholesale OEM Wholesale #12;The Markets

  13. Petroleum Marketing Annual

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

    Product Prices PDF 3 U.S. Refiner Retail Petroleum Product Volumes PDF 4 U.S. Refiner Wholesale Petroleum Product Prices PDF 5 U.S. Refiner Wholesale Petroleum Product Volumes PDF...

  14. Petroleum Marketing Annual 1997

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

    Product Prices PDF 3 U.S. Refiner Retail Petroleum Product Volumes PDF 4 U.S. Refiner Wholesale Petroleum Product Prices PDF 5 U.S. Refiner Wholesale Petroleum Product Volumes PDF...

  15. LED Price Tracking Form

    Broader source: Energy.gov [DOE]

    DOE intends to update the SSL Pricing and Efficacy Trend Analysis for Utility Program Planning report on an annual basis, but doing so requires that we have sufficient product and purchase data including acquisition date, purchase price, product category, and rated initial lumens. Those interested in helping collect this data are asked to use the LED Price Tracking FormMicrosoft Excel and follow the instructions for submitting data.

  16. EIS-0102: Bonneville Power Administration's 1983 Wholesale Power Rate

    Broader source: Energy.gov [DOE]

    The U.S. Department of Energy's Bonneville Power Administration prepared this EIS to evaluate the potential environmental impacts associated with an increase in wholesale power rates that would become effective on November 1, 1983, including the effects of rate hikes in that year and the cumulative effects of previous rate hikes.

  17. Managing transmission curtailment risk in wholesale power markets

    SciTech Connect (OSTI)

    Morey, Mathew J.; Kirsch, Laurence D.

    2009-11-15T23:59:59.000Z

    Risk resulting from transmission loading relief calls made by transmission system operators can be managed with information estimated by a statistical model capable of predicting one day in advance the probability that a particular wholesale power transaction might be curtailed. The model predicts this probability with a reasonable degree of accuracy using information on variables that can be obtained publicly. (author)

  18. 2007 Wholesale Power Rate Case Initial Proposal : Wholesale Power Rate Development Study Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration

    2005-11-01T23:59:59.000Z

    The Documentation for Wholesale Power Rate Development Study (WPRDS) shows the details of the calculation of the proposed rates. It contains the source data, the calculation, and the results. Section 1 contains an overview of the information used and developed in the various models used in the rate development process. Section 2 contains the documentation of the Rate Analysis Model (RAM2007). The RAM2007 is a group of computer applications that performs most of the computations that determine BPA's proposed rates. The output tables of RAM2007 show the source data, calculations (in sequence), and the results (rate charges) of the rate development process. Section 3 provides documentation of revenue forecasts for the 3-year rate test period FY 2007 through FY 2009 at both current and proposed rates and at current rates for the period immediately preceding the rate test period. Section 4 includes supporting data for rate calculations not performed in RAM2007 or revenue analyses. Each section draws data from difference sources and thus tables and/or charts are not always numbered in sequence. For purposes of this document, omitted tables will be listed as such in the Table of Contents.

  19. 2007 Wholesale Power Rate Case Final Proposal : Wholesale Power Rate Development Study Documentation, Volume 2.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    The Documentation for Wholesale Power Rate Development Study shows the details of the calculation of the proposed rates. It contains the source data, the calculation, and the results. There are 2 Volumes, the first containing Sections 1, 2, and 3; the second containing Section 4 and 3 appendices. Section 1 contains an overview of the information used and developed in the various models used in the rate development process. Section 2 contains the documentation of the Rate Analysis Model (RAM2007). The RAM2007 is a group of computer applications that performs most of the computations that determine BPA's proposed rates. The output tables of RAM2007 show the source data, calculations (in sequence), and the results (rate charges) of the rate development process. Section 3 provides documentation of revenue forecasts for the three-year rate test period FY 2007 through FY 2009 at both current and proposed rates and at current rates for the period immediately preceding the rate test period. Section 4 includes supporting data for rate calculations not performed in RAM2007 or revenue analyses.

  20. Final Report on Transmission Pricing in the Western Interconnection

    SciTech Connect (OSTI)

    Douglas C. Larson; Lawrence Nordell

    2003-06-25T23:59:59.000Z

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

  1. Foreign Fishery Developments Aid Eyed for Italy's Ailing Marine Fishery

    E-Print Network [OSTI]

    wholesale market prices, exvessel prices, landings, imports, and move- ments of fishery products both in wholesale prices for fresh and frozen fishery products traded in New York merchandising centers. The Boston in selected New England ports, Chicago market receipts, and frozen wholesale prices for the New England

  2. The robustness of agent-based models of electricity wholesale markets

    E-Print Network [OSTI]

    Newberry, David

    2012-05-28T23:59:59.000Z

    The robustness of agent-based models of electricity wholesale markets David Newberry May 2012 CWPE 1228 & EPRG 1213 The robustness of agent-based model of electricity wholesale markets... David Newberry May 2012 CWPE 1228 & EPRG 1213 www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract The robustness of agent-based models of electricity wholesale markets EPRG Working Paper 1213 Cambridge...

  3. Bio-energy Logistics Network Design Under Price-based Supply and Yield Uncertainty 

    E-Print Network [OSTI]

    Memisoglu, Gokhan

    2014-12-10T23:59:59.000Z

    network. In the second study, we consider a two-stage stochastic problem to model farm-to-biorefinery biomass logistics while designing a policy that encourages farmers to plant biomass energy crops by offering them a unit wholesale price. In the first...

  4. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    SciTech Connect (OSTI)

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

    2010-08-02T23:59:59.000Z

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

  5. Santee-1-E Wholesale Power Rate Schedule | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate

  6. Santee-2-E Wholesale Power Rate Schedule | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy atLLC - FE DKT. 10-160-LNG -Energy Proposed1-E Wholesale Power Rate2-E

  7. Santee-4-E Wholesale Power Rate Schedule | 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 onYouTube YouTube Note: Since the.pdfBreakingMay 2015 <Department ofDepartment ofEnergy Summary of4-E Wholesale

  8. MISS-1-N Wholesale Power Rate Schedule | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't YourTransport(FactDepartment ofLetterEconomyDr. ErnestMID-CAREER RETIREMENTMISS-1-N Wholesale

  9. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30T23:59:59.000Z

    We model the operating decisions of a commercial enterprisethatneeds to satisfy its periodic electricity demand with either on-sitedistributed generation (DG) or purchases from the wholesale market. Whilethe former option involves electricity generation at relatively high andpossibly stochastic costs from a set of capacity-constrained DGtechnologies, the latter implies unlimited open-market transactions atstochastic prices. A stochastic dynamic programme (SDP) is used to solvethe resulting optimisation problem. By solving the SDP with and withoutthe availability of DG units, the implied option values of the DG unitsare obtained.

  10. Optimal Prices and Production Rate in a Closed Loop Supply Chain under Heavy Traffic

    E-Print Network [OSTI]

    Ghosh, Arka P.

    uncertainties in addition to those already present in manufacturing and selling new products. Demand uncertainty less material and energy than manufacturing, prevents potentially harmful disposal, and retains some of the value added by the original manufacturing process. To the original producer or a third party reprocessor

  11. ,"U.S. Total Refiner Petroleum Product 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesRefinery, Bulk Terminal, and Natural Gas Plant StocksPetroleum Product

  12. 2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit.

  13. Cheese Prices

    E-Print Network [OSTI]

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

    2003-08-25T23:59:59.000Z

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

  14. BJ's Wholesale Club Welcomes you! Thank you for participating in our Corporate Membership program by renewing or

    E-Print Network [OSTI]

    Reuter, Martin

    BJ's Wholesale Club Welcomes you! Thank you for participating in our Corporate Membership program by renewing or purchasing your BJ's Wholesale Club Membership. BJ's is unlike any shopping club you have ever of the negatives that wholesale shoppers have become all too familiar with. BJ's Application Form Read over

  15. An Agent-Based Test Bed for the Integrated Study of Retail and Wholesale Power System Operations

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    An Agent-Based Test Bed for the Integrated Study of Retail and Wholesale Power System Operations D study of retail and wholesale power markets operating over transmission and distribution networks with smart-grid functionality. The test bed will seam together two existing test beds, the AMES Wholesale

  16. Simulation of the Rungis Wholesale Market: lessons on the calibration, validation and usage of a Cognitive Agent-based Simulation

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Simulation of the Rungis Wholesale Market: lessons on the calibration, validation and usage on a simulation of the Rungis Wholesale Market (in France) using cognitive agents. The implication of using of the system. Our case, the Fruits and Vegetables wholesale market of the Rungis Food Market, constitutes

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

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    a Energy Service Company (ESCO) through retail access. Sincea Energy Service Company (ESCO) through retail access. Since

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

    E-Print Network [OSTI]

    Kim, Joyce Jihyun

    2013-01-01T23:59:59.000Z

    and provide demand response (DR) through building controland provide demand response (DR) through building controlDemand Response Automation Server (DRAS) in a 15-minute interval. This allows the continuous monitoring of the building's

  2. The third, use of quantum mechanics to evaluate the molecular energy and forces, holds promise for future refinements when applied wholesale,

    E-Print Network [OSTI]

    Sali, Andrej

    for future refinements when applied wholesale, but is already capable of producing valuable insight when

  3. National Laboratory Dorene Price

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

  5. Energy prices, production

    E-Print Network [OSTI]

    Bonilla, David

    This paper investigates economic incentives influencing the adoption of energy saving technology by industry, namely, CHP in UK and Dutch manufacturing sectors. The empirical analysis is based on a cross sectional time series econometric model...

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

    E-Print Network [OSTI]

    Sweeting, Andrew

    2000-01-01T23:59:59.000Z

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

  7. Market Power in the England and Wales Wholesale Electricity Market 1995-2000

    E-Print Network [OSTI]

    Sweeting, Andrew

    2006-03-14T23:59:59.000Z

    This paper shows that generators exercised increasing market power in the England and Wales wholesale electricity market in the second half of the 1990s despite declining market concentration. It examines whether this was consistent with static, non...

  8. Innnovative wholesale carcass fabrication and retail cutting to optimize beef value

    E-Print Network [OSTI]

    Pfeiffer, Kyle David

    2006-04-12T23:59:59.000Z

    This study evaluated innovations in beef wholesale carcass fabrication that may have potential for improving subprimal yield and overall value of the beef carcass. Thirty beef carcasses, equally representing USDA Choice and Select and USDA yield...

  9. Are agent-based simulations robust? The wholesale electricity trading case

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    functions, demand aggregation, initial beliefs. 1 Introduction Companies and government agencies on prevailing wholesale electricity trading simulation methods. We include different supply and demand best-response and reinforcement learning but not under fictitious play. The simulations perform well

  10. Market power in the England and Wales wholesale electricity [market, 1995-2000

    E-Print Network [OSTI]

    Sweeting, Andrew

    2004-01-01T23:59:59.000Z

    This paper shows that generators exercised increasing market power in the England and Wales wholesale electricity market in the second half of the 1990s despite declining market concentration. It examines whether this was ...

  11. The Supply Function Equilibrium and its Policy Implications for Wholesale Electricity Auctions

    E-Print Network [OSTI]

    Holmberg, P; Newbery, David

    www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract The supply function equilibrium and its policy implications for wholesale electricity auctions EPRG Working Paper 1007 Cambridge Working Paper in Economics 1016 Pär... Holmberg and David Newbery The supply function equilibrium provides a game-theoretic model of strategic bidding in oligopolistic wholesale electricity auctions. This paper presents an intuitive account of current understanding and shows how welfare...

  12. Transmission grid access and pricing in Norway, Spain, and California: A comparative study

    SciTech Connect (OSTI)

    Gronli, H.; Gomez San Ramon, T.; Marnay, C.

    1999-09-01T23:59:59.000Z

    The openness of the transmission grid and the incentives given by transmission pricing form the foundation for retail and wholesale competition in the electricity market. The deregulated markets of Norway, Spain, and California all have introduced retail access and wholesale competition, although with different approaches to pricing of transmission grid services. This paper will briefly describe the three different solutions, and discuss some of their implications. Of the three electricity systems, Norway was the first to open the grid to competition in electricity trade. The Norwegian Energy Law of 1990 introduced open competition to wholesale and retail trade starting January 1991. In Spain, the Electricity Law of 1997 came into force early in 1998. Wholesale and retail markets in California were opened for competition on April 1, 1998, following the passage of Assembly Bill 1890, in August 1996. Introducing competition in electricity markets also implies introducing Third Party Access to the transmission grid. All potential competitors have to be given access to the grid in order to compete, no matter who owns the actual wires. This principle raises several challenges, notably, how to price transmission services. Who is to pay for which transmission services? The Norwegian grid is divided into three levels depending on its function. The transmission grid includes all parts of the national grid having a transmission function, meaning that some lower voltage levels also are included. In Spain, the definition of the transmission grid is similar, including the 400 kV and 220 kV national grid as well as lower voltage installations that could affect transmission operation or generation dispatch. For historic reasons, wholesale electricity transactions in the US are regulated by the federal government through the FERC. However, operations of utility systems within one state fall primarily under state jurisdiction. Because the utility systems in California generally are large and exchanges between them limited, the role of FERC was small prior to restructuring, although the state is a large importer of power.

  13. Higher Prices from Entry: Pricing of Brand-Name Drugs

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

    Workshop for useful discussions and comments. We especially thank Ernst Berndt for extensive help is price. Using a spatial model, we show that the effect of entry on price depends on how close together products are located in characteristic space. To illustrate this logic, we suppose that a firm enters

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

    SciTech Connect (OSTI)

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

    2005-08-01T23:59:59.000Z

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

  15. Market behavior under partial price controls: the case of the retail gasoline market

    SciTech Connect (OSTI)

    Camm, F.

    1983-03-01T23:59:59.000Z

    The use of firm-specific controls on the price of gasoline during 1979 and 1980, at both the wholesale and the retail level, dramatically affected the retail market for gasoline. The most visible effect was a diversity of monetary prices across service stations within particular retail market areas. Price could no longer play its usual role in clearing the retail market for gasoline. Queues and other changes in quality of service at stations arose to maintain the balance of market demand and supply. This report examines the behavior of an otherwise competitive market in the presence of such regulation-induced nonprice phenomena. In such a market, consumers consider both monetary prices and costs imposed by queues in deciding where to buy gasoline and how much to buy. Using a price-theoretic model of behavior, this paper predicts how various changes in effective price regulation affect consumers. 14 references, 7 figures, 2 tables.

  16. Bill Bradbury Jennifer Anders

    E-Print Network [OSTI]

    /Exports Wholesale Electricity Market Prices These These inputsinputs Wholesale Electricity Market Prices Including Market Price Caps on Wholesale Electricity Market Prices Annual Limits on Retrofit Conservation

  17. Real Time Pricing as a Default or Optional Service for C&ICustomers: A Comparative Analysis of Eight Case Studies

    SciTech Connect (OSTI)

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

    2005-08-01T23:59:59.000Z

    Demand response (DR) has been broadly recognized to be an integral component of well-functioning electricity markets, although currently underdeveloped in most regions. Among the various initiatives undertaken to remedy this deficiency, public utility commissions (PUC) and utilities have considered implementing dynamic pricing tariffs, such as real-time pricing (RTP), and other retail pricing mechanisms that communicate an incentive for electricity consumers to reduce their usage during periods of high generation supply costs or system reliability contingencies. Efforts to introduce DR into retail electricity markets confront a range of basic policy issues. First, a fundamental issue in any market context is how to organize the process for developing and implementing DR mechanisms in a manner that facilitates productive participation by affected stakeholder groups. Second, in regions with retail choice, policymakers and stakeholders face the threshold question of whether it is appropriate for utilities to offer a range of dynamic pricing tariffs and DR programs, or just ''plain vanilla'' default service. Although positions on this issue may be based primarily on principle, two empirical questions may have some bearing--namely, what level of price response can be expected through the competitive retail market, and whether establishing RTP as the default service is likely to result in an appreciable level of DR? Third, if utilities are to have a direct role in developing DR, what types of retail pricing mechanisms are most appropriate and likely to have the desired policy impact (e.g., RTP, other dynamic pricing options, DR programs, or some combination)? Given a decision to develop utility RTP tariffs, three basic implementation issues require attention. First, should it be a default or optional tariff, and for which customer classes? Second, what types of tariff design is most appropriate, given prevailing policy objectives, wholesale market structure, ratemaking practices and standards, and customer preferences? Third, if a primary goal for RTP implementation is to induce DR, what types of supplemental activities are warranted to support customer participation and price response (e.g., interval metering deployment, customer education, and technical assistance)?

  18. Analysis of leaded and unleaded gasoline pricing. Final report

    SciTech Connect (OSTI)

    Not Available

    1985-03-15T23:59:59.000Z

    This report summarizes the evaluation of the cost price relation between the two fuels. The original scope of work identified three separate categories of effort: Gather and organize available data on the wholesale and retail prices of gasoline at a national level for the past 5 years. Using the data collected in Subtask 1, develop models of pricing practices that aid in explaining retail markups and price differentials for different types and grades of gasoline at different retail outlets in the current gasoline market. Using the data from Subtask 1 and the analysis framework from Subtask 2, analyze the likely range of future retail markups and price differentials for different grades of leaded and unleaded gasoline. The report is organized in a format that is different than suggested by the subtasks outlined above. The first section provides a characterization of the problem - data available to quantify cost and price of the fuels as well as issues that directly affect this relationship. The second section provides a discussion of issues likely to affect this relation in the future. The third section postulates a model that can be used to quantify the relation between fuels, octane levels, costs and prices.

  19. Are You Ready Phase Two? Pricing Changes and Commercial Products Added to DOE High-Performance Windows Program

    SciTech Connect (OSTI)

    Mapes, Terry S.

    2011-05-01T23:59:59.000Z

    This article, for publication in Door and Window Manufacturer magazine, describes DOE's High Performance Windows Volume Purchase Program, WVPP, and how PNNL, which manages the program for DOE, is assisting DOE in the transition to the next phase (Phase II), which begins in May. While the foundation of the program will remain relatively unchanged, PNNL is employing several new strategies to continue the momentum built during the program's first full year of implementation. The program helps buyers and manufacturers to develop a market for highly insulating windows and low-E storm windows at affordable prices and thereby overcome the principal barrier of cost.

  20. Inventories and the short-run dynamics of commodity prices

    E-Print Network [OSTI]

    Pindyck, Robert S.

    1990-01-01T23:59:59.000Z

    I examine the behavior of inventories and their role in the short-run dynamics of commodity production and price. Competitive producers of a storable commodity react to price changes by balancing costs of changing production ...

  1. Comparison of systems for the distribution of lamb carcasses and wholesale cuts

    E-Print Network [OSTI]

    Tatum, Joseph Daryl

    1976-01-01T23:59:59.000Z

    COMPARISON OF SYSTEMS FOR THE DISTRIBUTION OF LAMB CARCASSES AND WHOLESALE CUTS A Thesis by JOSEPH DARYL TATUM Submitted to the Graduate College of Texas A&M University in partial fulfillment of the requirement for the degree of MASTER... OF SCIENCE Play 1976 M+or SubJect: Animal Science (Meats) COMPARISON OF SYSTEMS FOR THE DISTRIBUTION OF LAMB CARCASSES AND WHOLESALE CUTS A Thesis by JOSEPH DARYL TATUM Approved as to style and content by: 0) o (Co-C a man of Committee) ( -Chairman...

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

    SciTech Connect (OSTI)

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

    2008-01-07T23:59:59.000Z

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

  3. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  4. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  5. USAEE/IAEE North American Conference, Washington, D.C., July 8-10, 2004 Testing the Reliability of FERC's Wholesale Power Market Platform

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    the Reliability of FERC's Wholesale Power Market Platform: An Agent-Based Computational Economics Approach Deddy@iastate.edu Abstract: In April 2003 the U.S. Federal Energy Regulatory Commission proposed the Wholesale Power Market Platform (WPMP) for common adoption by U.S. wholesale power markets. The WPMP is a complicated market

  6. The Story of Stumpage Stumpage Prices \\iJ~,.~,,...... B~

    E-Print Network [OSTI]

    the market calls for. PULPWOOD: Pulpwood prices depend on the global demand for paper products of amajor pulp and paper mill in New York. FIREWOOD: Demand for firewood in New England depends on the price of fossil fuels,particularly No.2fuel oil. (The price of firewood rises as fuel oil prices in

  7. Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks

    E-Print Network [OSTI]

    Garousi, Vahid

    shocks, Oil price uncertainty, Nonlinearity in the Oil Price- Output Relationship. 2 #12;Table Production: Is the Relationship Linear?" John Elder and Apostolos Serletis, "Volatility in Oil Prices-Term Oil Price Forecasts: A New Perspective on Oil and the Macroeconomy." 3 #12;1 Overview The relationship

  8. A Time Series Analysis of Food Price and Its Input Prices 

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

    of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...

  9. A Time Series Analysis of Food Price and Its Input Prices

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

    of crude oil, gasoline, corn, and ethanol prices, as well as, the relative foreign exchange rate of the U.S. dollar and producer price indexes for food manufacturing and fuel products on domestic food prices are examined. Because the data series are non...

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-01-28T23:59:59.000Z

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

  11. A Larger Slice or a Larger Pie? An Empirical Investigation of Bargaining Power in the Distribution Channel

    E-Print Network [OSTI]

    Draganska, Michaela; Klapper, Daniel; Villas-Boas, Sofia B

    2008-01-01T23:59:59.000Z

    and allow the wholesale prices to be determined inNash game, retail and wholesale prices are determined at thesolution to determine wholesale prices and thus how margins

  12. The Importance of High Temporal Resolution in Modeling Renewable Energy Penetration Scenarios

    E-Print Network [OSTI]

    Nicolosi, Marco

    2011-01-01T23:59:59.000Z

    Because of these dynamics, wholesale power prices tend to bedispatch patterns and wholesale power prices, however, alsoTab 2). Because it impacts wholesale power prices and wind

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

    E-Print Network [OSTI]

    Chen, Cliff; Wiser, Ryan; Bolinger, Mark

    2007-01-01T23:59:59.000Z

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

  14. Vertical relationships between manufacturers and retailers: inference with limited data

    E-Print Network [OSTI]

    Villas-Boas, Sofia B.

    2006-01-01T23:59:59.000Z

    erent supply models when wholesale prices are not observed.States the results imply that wholesale prices are close tofor a particular market. Wholesale price data are typically

  15. Increasing Gas Prices: Good Economics, but Bad Public Relations Rising gasoline prices captured the attention of the press and politicians in recent months,

    E-Print Network [OSTI]

    Ahmad, Sajjad

    Increasing Gas Prices: Good Economics, but Bad Public Relations Rising gasoline prices captured interest during our current gasoline shortage. That is, a higher price rations the product to the best use for temporarily foregoing the state gasoline tax. Will that lower gas prices? No. Gas prices rose not because

  16. An Analysis of Price Determination and Markups in the Air-Conditioning and Heating Equipment Industry

    SciTech Connect (OSTI)

    Dale, Larry; Millstein, Dev; Coughlin, Katie; Van Buskirk, Robert; Rosenquist, Gregory; Lekov, Alex; Bhuyan, Sanjib

    2004-01-30T23:59:59.000Z

    In this report we calculate the change in final consumer prices due to minimum efficiency standards, focusing on a standard economic model of the air-conditioning and heating equipment (ACHE) wholesale industry. The model examines the relationship between the marginal cost to distribute and sell equipment and the final consumer price in this industry. The model predicts that the impact of a standard on the final consumer price is conditioned by its impact on marginal distribution costs. For example, if a standard raises the marginal cost to distribute and sell equipment a small amount, the model predicts that the standard will raise the final consumer price a small amount as well. Statistical analysis suggest that standards do not increase the amount of labor needed to distribute equipment the same employees needed to sell lower efficiency equipment can sell high efficiency equipment. Labor is a large component of the total marginal cost to distribute and sell air-conditioning and heating equipment. We infer from this that standards have a relatively small impact on ACHE marginal distribution and sale costs. Thus, our model predicts that a standard will have a relatively small impact on final ACHE consumer prices. Our statistical analysis of U.S. Census Bureau wholesale revenue tends to confirm this model prediction. Generalizing, we find that the ratio of manufacturer price to final consumer price prior to a standard tends to exceed the ratio of the change in manufacturer price to the change in final consumer price resulting from a standard. The appendix expands our analysis through a typical distribution chain for commercial and residential air-conditioning and heating equipment.

  17. 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

  18. An Assessment of Land Availability and Price in the Coterminous United States for Conversion to Algal Biofuel Production

    SciTech Connect (OSTI)

    Venteris, Erik R.; Skaggs, Richard; Coleman, Andre M.; Wigmosta, Mark S.

    2012-12-01T23:59:59.000Z

    Realistic economic assessment of land-intensive alternative energy sources (e.g., solar, wind, and biofuels) requires information on land availability and price. Accordingly, we created a comprehensive, national-scale model of these parameters for the United States. For algae-based biofuel, a minimum of 1.04E+05 km2 of land is needed to meet the 2022 EISA target of 2.1E+10 gallons year-1. We locate and quantify land types best converted. A data-driven model calculates the incentive to sell and a fair compensation value (real estate and lost future income). 1.02E+6 km2 of low slope, non-protected land is relatively available including croplands, pasture/ grazing, and forests. Within this total there is 2.64E+5 km2 of shrub and barren land available. The Federal government has 7.68E+4 km2 available for lease. Targeting unproductive lands minimizes land costs and impacts to existing industries. However, shrub and barren lands are limited by resources (water) and logistics, so land conversion requires careful consideration.

  19. Retrospective Evaluation of Appliance Price Trends

    SciTech Connect (OSTI)

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

    2008-07-20T23:59:59.000Z

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

  20. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

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

  1. Petroleum Marketing Annual 2008

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

    Product Prices PDF 3 U.S. Refiner Retail Petroleum Product Volumes PDF 4 U.S. Refiner Wholesale Petroleum Product Prices PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale...

  2. Petroleum Marketing Annual 2007

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

    Product Prices PDF 3 U.S. Refiner Retail Petroleum Product Volumes PDF 4 U.S. Refiner Wholesale Petroleum Product Prices PDF 5 U.S. Refiner Volumes of Petroleum Products for Resale...

  3. Sustainability of Forage-based Livestock Production Systems in South Texas in an Era of High Synthetic Nitrogen Fertilizer Prices

    E-Print Network [OSTI]

    Sustainability of Forage-based Livestock Production Systems in South Texas in an Era of High of soil tests and alternative application methods. The second alternative is to reintroduce into their management practices that were the norm until the advent of cheap synthetic fertilizers after 1945

  4. Demand Response from Day-Ahead Hourly Pricing for Large Customers

    SciTech Connect (OSTI)

    Hopper, Nicole; Goldman, Charles; Neenan, Bernie

    2006-04-15T23:59:59.000Z

    Day-ahead default-service RTP for large customers not only improves the linkage between wholesale and retail markets, but also promotes the development of retail competition. The default service sets a standard for competitive alternatives and its structure shapes the types of retail market products that develop. (author)

  5. Nonlinear Pricing Strategies and Market Concentration in the Airline Industry 

    E-Print Network [OSTI]

    Hernandez Garcia, Manuel A.

    2010-10-12T23:59:59.000Z

    This dissertation investigates the effect of market concentration on nonlinear pricing strategies in the airline industry. The study develops a theoretical nonlinear pricing model with both discrete product and consumer ...

  6. The geographic expanse of the market for wholesale electricity

    E-Print Network [OSTI]

    Bailey, Elizabeth M.

    1998-01-01T23:59:59.000Z

    This paper exploits a large mine-level database to contribute to our understanding of the micro-sources of productivity growth. The database contains observations for labor input and coal output at every mine in the United ...

  7. The effect of degree of vacuum on the physical and organoleptic properties of vacuum packaged beef wholesale cuts

    E-Print Network [OSTI]

    Seideman, Steven Charles

    1975-01-01T23:59:59.000Z

    THE EFFECT OF DEGREE OF VACUUM ON THE PHYSICAL AND ORGANOLEPTIC PROPERTIES OF VACUUM PACKAGED BEEP WHOLESALE CUTS A Thesis STEVEN CHARLES SEIDEMAN Submitted to the Graduate College of Texas A&M University 1n partial fulfillment... of the requirements of the degree of MASTER OF SCIENCE August IH75 Ma)or Subject: Animal Science THE EFFECT OF DEGREE OF VACUUM ON THE PHYSICAL AND ORGANOLEPTIC PROPERTIES OF VACUUM PACKAGED BEEF WHOLESALE CUTS A Thesi STEVEN CHARLES SEIDEMAN Approved...

  8. Modeling of Energy Production Decisions: An Alaska Oil Case Study

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    We appended future oil price projections from the Energyfunctional form of price projection (personal communication,producers using a fixed price projection in their production

  9. Modeling of sorption isotherms of dried vegetable wastes from wholesale market

    SciTech Connect (OSTI)

    Lopez, A.; Iguaz, A.; Esnoz, A.; Virseda, P.

    2000-05-01T23:59:59.000Z

    The moisture sorption isotherms of dried vegetable wastes (based on green leaves and fruits) from wholesale market were determined at 25, 40, 60 and 90 C by the static gravimetric method. Experimental data were fit by using several mathematical models. The G.A.B. and the Halsey model gave the minimum mean square error. G.A.B. parameters were related with temperature by Arrhenius expressions.

  10. Highlights

    Gasoline and Diesel Fuel Update (EIA)

    Residual Fuel Oil Crude Oil RAC Figure HL1. Crude Oil and Petroleum Product Wholesale Prices Energy Information Administration Petroleum Marketing Annual 1996 xi a...

  11. untitled

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

    and volume data at a State level on 14 petroleum products for various retail and wholesale marketing categories. The Form EIA-782B collects re- sellerretailer monthly price...

  12. untitled

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

    generally applied by the refiner con- cerned. Dealer Tank Wagon (DTW) Sales: Wholesale sales of petroleum products priced on a delivered basis to a retail outlet....

  13. Trends in demand for retail and wholesale cuts of meat 

    E-Print Network [OSTI]

    Holloway, David Wayne

    1990-01-01T23:59:59.000Z

    data from 1965 to 1985 were used. The aggregate system used beef, pork, and chicken, and then disaggregated beef into hamburger and table cuts, and chicken into parts/processed products for the second system. Additional variables in the estimation... shift in demand for beef and pork during the period, and broilers were found to be a strong substitute for beef in the second period. Implications are that there was a structural change in the meat sector during the period, and the decline...

  14. State energy price and expenditure report 1994

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

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

  15. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    EIA, World Petroleum Consumption) times the average price of West Texas Intermediate (from the FRED database

  16. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

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

  17. Properly Evaluating load-following products

    SciTech Connect (OSTI)

    Cavicchi, Joseph; Lemon, Andrew

    2009-01-15T23:59:59.000Z

    The authors briefly survey the jurisdictions where load-following products have been successfully used, examine the characteristics of the load-following products, and explain the shortcomings and inaccurate conclusions of previous analyses. A more thorough analysis reveals that the load-following products fulfill the public policy objectives for which they have been designed and do not adversely impact wholesale electricity markets.

  18. A normal-faulting seismic sequence triggered by the 2011 off the Pacific coast of Tohoku Earthquake: Wholesale stress regime changes in the upper plate

    E-Print Network [OSTI]

    Kato, Aitaro

    : Wholesale stress regime changes in the upper plate Aitaro Kato*1 , Shin'ichi Sakai1 , and Kazushige Obara1 1

  19. Milk Pricing

    E-Print Network [OSTI]

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

    2001-09-10T23:59:59.000Z

    subject to weekly and seasonal demand variabil- ity. Their product inventory was also slower to turn over. These nonfluid processors tended to locate in areas where milk supplies were sub- stantial, so no location differential developed for milk used...

  20. 2007 Wholesale Power Rate Schedules : 2007 General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-11-01T23:59:59.000Z

    This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

  1. The Power of Fair Pricing Mechanisms Christine Chung1

    E-Print Network [OSTI]

    Chung, Christine

    with arbitrary bounded non-decreasing convex production cost functions, we present a proportional pricingThe Power of Fair Pricing Mechanisms Christine Chung1 , Katrina Ligett2 , Kirk Pruhs3 , and Aaron L of truthful, monotone ("fair") allocation and pricing functions for resource-constrained auc- tion mechanisms

  2. Time of Use Energy Pricing Memo December 17, 2013

    E-Print Network [OSTI]

    Kammen, Daniel M.

    Time of Use Energy Pricing Memo December 17, 2013 1 December 17, 2013 Governor Mark Dayton Office face time-invariant prices that fail to reflect changes in production costs of energy throughout the day.2 By increasing the number of consumers that face time varying energy prices, Minnesota can

  3. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity at Different Sites in California and the Northwest

    E-Print Network [OSTI]

    Fripp, Matthias; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    power system’s load and wholesale market prices (Burton etgeographical area on wholesale market value or capacityMontana and Wyoming) with wholesale power prices and loads

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

    E-Print Network [OSTI]

    Barbose, Galen

    2013-01-01T23:59:59.000Z

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

  5. Addressing Energy Demand through Demand Response: International Experiences and Practices

    E-Print Network [OSTI]

    Shen, Bo

    2013-01-01T23:59:59.000Z

    DEMAND RESPONSE .7 Wholesale Marketuse at times of high wholesale market prices or when systemenergy expenditure. In wholesale markets, spot energy prices

  6. 2007 Wholesale Power Rate Case Initial Proposal : 2007 Wholesale Power Rate Schedule and General Rate Schedule Provisions.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    This schedule is available for the contract purchase of Firm Power to be used within the Pacific Northwest (PNW). Priority Firm (PF) Power may be purchased by public bodies, cooperatives, and Federal agencies for resale to ultimate consumers, for direct consumption, and for Construction, Test and Start-Up, and Station Service. Rates in this schedule are in effect beginning October 1, 2006, and apply to purchases under requirements Firm Power sales contracts for a three-year period. The Slice Product is only available for public bodies and cooperatives who have signed Slice contracts for the FY 2002-2011 period. Utilities participating in the Residential Exchange Program (REP) under Section 5(c) of the Northwest Power Act may purchase Priority Firm Power pursuant to the Residential Exchange Program. Rates under contracts that contain charges that escalate based on BPA's Priority Firm Power rates shall be based on the three-year rates listed in this rate schedule in addition to applicable transmission charges. This rate schedule supersedes the PF-02 rate schedule, which went into effect October 1, 2001. Sales under the PF-07 rate schedule are subject to BPA's 2007 General Rate Schedule Provisions (2007 GRSPs). Products available under this rate schedule are defined in the 2007 GRSPs. For sales under this rate schedule, bills shall be rendered and payments due pursuant to BPA's 2007 GRSPs and billing process.

  7. Table 19. U.S. Refiner Residual Fuel Oil Prices

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

    January 1983 forward; Form EIA-460, "Petroleum Industry Monthly Report for Product Prices," source for backcast estimates prior to January 1983. 36 Energy Information...

  8. Relative efficiency benefits of wholesale and retail competition in electricity: An analysis and a research agenda

    SciTech Connect (OSTI)

    Bohi, D.R.; Palmer, K.L. [Resources for the Future, Inc., Washington, DC (United States)] [Resources for the Future, Inc., Washington, DC (United States)

    1996-03-01T23:59:59.000Z

    A central issue in the debate over restructuring the electric power industry is the extent to which the market should be open to competition. One aspect of this debate is whether competition ought to be restricted to the whole sale power market or be extended to final retail consumers. This report begins to explore the potential differences in economic efficiency between wholesale and retail competition in the electric power industry. The two market-structure scenarios are defined and the factors responsible for differences in efficiency are described. The report also contains an assessment of the relative importance of the factors and recommendations for pursuing further research.

  9. Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation

    SciTech Connect (OSTI)

    Ela, E.; Milligan, M.; Bloom, A.; Botterud, A.; Townsend, A.; Levin, T.

    2014-09-01T23:59:59.000Z

    Variable generation such as wind and photovoltaic solar power has increased substantially in recent years. Variable generation has unique characteristics compared to the traditional technologies that supply energy in the wholesale electricity markets. These characteristics create unique challenges in planning and operating the power system, and they can also influence the performance and outcomes from electricity markets. This report focuses on two particular issues related to market design: revenue sufficiency for long-term reliability and incentivizing flexibility in short-term operations. The report provides an overview of current design and some designs that have been proposed by industry or researchers.

  10. SCE&G-4-E Wholesale Power Rate Schedule | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn'tOrigin ofEnergy at Waste-to-Energy usingofRetrofittingFundAofSCE&G-4-E Wholesale Power

  11. COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

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

  12. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01T23:59:59.000Z

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

  13. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

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

    2009-03-02T23:59:59.000Z

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

  14. 2007 Wholesale Power Rate Case Initial Proposal : Load Resource Study and Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    The Load Resource Study (Study) represents the compilation of the loads, sales, contracts, and resource data necessary for developing BPA wholesale power rates. The results of this Study are used to: (1) provide base data to determine resource costs for the Revenue Requirement Study, WP-07-E-BPA-02; (2) provide regional hydro data for use in the secondary revenue forecast for the Market Power Study, WP-07-E-BPA-03; (3) provide base data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05; and (4) provide load and resource data for use in calculating risk in the Risk Analysis Study, WP-07-E-BPA-04. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Documentation, WP-07-E-BPA-01A.

  15. State Electricity Regulatory Policy and Distributed Resources: Accommodating Distributed Resources in Wholesale Markets

    SciTech Connect (OSTI)

    Weston, F.; Harrington, C.; Moskovitz, D.; Shirley, W.; Cowart, R.; Sedano, R.

    2002-10-01T23:59:59.000Z

    Distributed resources can provide cost-effective reliability and energy services - in many cases, obviating the need for more expensive investments in wires and central station electricity generating facilities. Given the unique features of distributed resources, the challenge facing policymakers today is how to restructure wholesale markets for electricity and related services so as to reveal the full value that distributed resources can provide to the electric power system (utility grid). This report looks at the functions that distributed resources can perform and examines the barriers to them. It then identifies a series of policy and operational approaches to promoting DR in wholesale markets. This report is one in the State Electricity Regulatory Policy and Distributed Resources series developed under contract to NREL (see Annual Technical Status Report of the Regulatory Assistance Project: September 2000-September 2001, NREL/SR-560-32733). Other titles in this series are: (1) Distributed Resource Distribution Credit Pilot Programs - Revealing the Value to Consumers and Vendors, NREL/SR-560-32499; (2) Distributed Resources and Electric System Reliability, NREL/SR-560-32498; (3) Distribution System Cost Methodologies for Distributed Generation, NREL/SR-560-32500; (4) Distribution System Cost Methodologies for Distributed Generation Appendices, NREL/SR-560-32501

  16. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

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

  17. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

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

  18. COMM-OPINION-ORDER, 76 FERC 61,347, Promoting Wholesale Competition Through Open-Access Non-discriminatory Transmission Services by Public Utilities, Docket No. RM95-8-000, Recovery of Stranded Costs by

    E-Print Network [OSTI]

    Laughlin, Robert B.

    COMM-OPINION-ORDER, 76 FERC ¶61,347, Promoting Wholesale Competition Through Open-Access Non Incorporated Promoting Wholesale Competition Through Open-Access Non-discriminatory Transmission Services Utilities, Docket No. RM94-7-001 [62,646] [¶61,347] Promoting Wholesale Competition Through Open-Access Non

  19. COMM-OPINION-ORDER, 75 FERC 61,208, Promoting Wholesale Competition Through Open Access Non-discriminatory Transmission Services by Public Utilities; Recovery of Stranded Costs by Public Utilities and

    E-Print Network [OSTI]

    Laughlin, Robert B.

    COMM-OPINION-ORDER, 75 FERC ¶61,208, Promoting Wholesale Competition Through Open Access Non Wholesale Competition Through Open Access Non-discriminatory Transmission Services by Public Utilities-7-001 [61,687] [¶61,208] Promoting Wholesale Competition Through Open Access Non-discriminatory Transmission

  20. Texas Farm Commodity Prices

    E-Print Network [OSTI]

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

    1948-01-01T23:59:59.000Z

    1" .I61 .I72 .I64 .I87 .276 .320 .356 .349 .220 .207 .213 .217 .270 ,261 .207 .239 .247 .207 .I38 .I02 108 .I46 .206 Wheat Dollars .99 .94 "93 .87 .90 1.06 1.29 2.18 2.08 2.06 2.04 1.09 1.03 .98 1.14 1.57 1.15... markets on or about the 15th of each month. Since, for most products, sales seldom occur at the farm, the prices which farmers receive usually include the cost of handling and delivery to the local market. Sonic trrick crops, notably carrots...

  1. The Price of Feed Utilities.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01T23:59:59.000Z

    'point of view of thr chemist. ref If Figure 1-Prices of digestible protein. and productive energy in cent5 a pound. Methods Suggested Several 'methods have been used for solving some of the problems erred to above. The cottonseed crushers use the protein... of the proteins of various feeds. The productive energy of a feed, expressed in therms or fat, meas- es its power of furnishing heat or energy to the animal, or of furnish- ing material or energy for the production of fat, or for work or for other uses...

  2. World Oil Price Cases (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

    World oil prices in Annual Energy Outlook 2005 are set in an environment where the members of OPEC (Organization of the Petroleum Exporting Countries) are assumed to act as the dominant producers, with lower production costs than other supply regions or countries. Non-OPEC oil producers are assumed to behave competitively, producing as much oil as they can profitability extract at the market price for oil. As a result, the OPEC member countries will be able effectively to set the price of oil when they can act in concert by varying their aggregate production. Alternatively, OPEC members could target a fixed level of production and let the world market determine the price.

  3. Thin-layer drying behavior of vegetable wastes from wholesale market

    SciTech Connect (OSTI)

    Lopez, A.; Iguaz, A.; Esnoz, A.; Virseda, P.

    2000-05-01T23:59:59.000Z

    The thin-layer drying behavior of vegetable wastes (as a mix of lettuce and cauliflower leaves) from wholesale market for a temperature range of 50--150 C was determined. Drying of this material was found to take part only in the falling-rate period. The experimental data were fitted to the simple exponential model and the Page model. Both models have good prediction capability. Effective diffusion coefficient varied from 6.03 x 10{sup {minus}9} to 3.15 x 10{sup {minus}8} m{sup 2}/s with an activation energy of diffusion of 19.82 kJ/mol. The temperature dependence of the effective diffusion coefficient was expressed by an Arrhenius-type relationship.

  4. COORDINATION OF PRICING AND INVENTORY DECISIONS

    E-Print Network [OSTI]

    Shen, Zuo-Jun "Max"

    companies exploring innovative pricing strategies in an effort to improve their oper- ations and ultimately spare parts to final goods or companies use questionaires to determine market segmentation for product with inventory and production decisions. We review research in this area because it is an important one

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

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    2008 Abstract The relationship between gasoline prices and the demand for vehicle fuel efficiencyAutomobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We

  6. Crude Oil Prices

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

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

  7. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

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

    1999-09-21T23:59:59.000Z

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

  8. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    historical data for claiming to be able to predict oil pricehistorical data. The second is to look at the predictions of economic theory as to how oil prices

  9. Metabolic paths in world economy and crude oil price

    E-Print Network [OSTI]

    Picciolo, Francesco; Ruzzenenti, Franco

    2015-01-01T23:59:59.000Z

    In 1983 Hamilton demonstrated the correlation between the price of oil and gross national product for the U.S. economy. A prolific literature followed exploring the potential correlation of oil prices with other important indices like inflation, industrial production, and food prices, using increasingly refined tools. Our work sheds new light on the role of oil prices in shaping the world economy by investigating the metabolic paths of value across trade between 1960 and 2010, by means of Markov Chain analysis. We show that the interdependence of countries' economies are strictly (anti)correlated to the price of oil. We observed a remarkably high correlation of 0.85, unmatched by any former study addressing the correlation between oil price and major economic indicators.

  10. State energy price and expenditure report, 1995

    SciTech Connect (OSTI)

    NONE

    1998-08-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the US. The estimates developed in the State Energy Price and Expenditure Data System (SEPEDS) are provided by energy source and economic sector and are published for the years 1970 through 1995. Data for all years are available on a CD-ROM and via Internet. Consumption estimates used to calculate expenditures and the documentation for those estimates are taken from the State Energy Data Report 1995, Consumption Estimates (SEDR), published in December 1997. Expenditures are calculated by multiplying the price estimates by the consumption estimates, which are adjusted to remove process fuel; intermediate petroleum products; and other consumption that has no direct fuel costs, i.e., hydroelectric, geothermal, wind, solar, and photovoltaic energy sources.

  11. A computational method and software development for make-to-order pricing optimization

    E-Print Network [OSTI]

    Wang, Zhiyong, S.M. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    High variability of demand and inflexible capacity are inevitable in a make-to-order production despite its cost savings. A computational method is proposed in this thesis to exploit pricing opportunities in the price ...

  12. Energy prices and energy intensity in China : a structural decomposition analysis and econometrics study

    E-Print Network [OSTI]

    Shi, Xiaoyu

    2006-01-01T23:59:59.000Z

    Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has ...

  13. Energy prices and energy intensity in China : a structural decomposition analysis and econometric study

    E-Print Network [OSTI]

    Shi, Xiaoyu, M.C.P. Massachusetts Institute of Technology

    2005-01-01T23:59:59.000Z

    Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., physical energy consumption per unit of Gross Domestic Product ...

  14. Distributional Impacts of Carbon Pricing: A General Equilibrium Approach with Micro-Data for Households

    E-Print Network [OSTI]

    Rausch, Sebastian

    Many policies to limit greenhouse gas emissions have at their core efforts to put a price on carbon emissions. Carbon pricing impacts households both by raising the cost of carbon intensive products and by changing factor ...

  15. Update: World average retail gasoline and diesel prices. Crude oil falls, but consumer taxes rise

    SciTech Connect (OSTI)

    Not Available

    1994-03-21T23:59:59.000Z

    Crude oil prices plunged to five year lows late in 1993. However, examination of consumer petroleum product prices around the world reveals that consumers in many countries did not enjoy a consequent drop.

  16. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2005-11-09T23:59:59.000Z

    Dynamic retail pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response has been an afterthought, and in some cases not given any weight at all. But that may be changing, as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period during which utilities were required to offer a default or standard offer generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached the end of their transitional period, and several have adopted or are actively considering an RTP-type default service for large commercial and industrial (C&I) customers. In most cases, the primary reason for adopting RTP as the default service has been to advance policy objectives related to the development of competitive retail markets. However, if attention is paid in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This article, which draws from a lengthier report, describes experience to date with RTP as a default service, focusing on its role as an instrument for cultivating price responsive demand.1 As of summer 2005, default service RTP was in place or approved for future implementation in five U.S. states: New Jersey, Maryland, Pennsylvania, New York, and Illinois. For each of these states, we conducted a detailed review of the regulatory proceedings leading to adoption of default RTP and interviewed regulatory staff and utilities in these states, as well as eight competitive retail suppliers active in these markets.

  17. The Minimum Price Contract

    E-Print Network [OSTI]

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

    2008-10-17T23:59:59.000Z

    , he can Mark Waller, Steve Amosson, Mark Welch, and Kevin Dhuyvetter* 2 lock in a floor price and still have upside poten- tial if the market rallies. Options-based marketing strategies, such as the minimum price contract, work well in times...

  18. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01T23:59:59.000Z

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

  19. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

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

  20. An assessment of Texas wholesale nursery grower and the effect of selected growth retardants on Salvia farinacea x longispicata "Indigo Spires"

    E-Print Network [OSTI]

    Rodriguez, David

    1992-01-01T23:59:59.000Z

    Record of Study An Assessment of a Texas Wholesale Nursery Grower and The Effect of Selected Growth Retardants on Sal via farinacea x longispicata 'Indigo Spires' A PROFESSIONAL PAPER by David Rodriguez Submitted to the College... of Agriculture of Texas A&M University in partial fulfillment of the requirements for the degree of MASTER OF AGRICULTURE November, 1992 Department of Horticultural Sciences An Assessment of a Texas Wholesale Nursery Grower and The Effect of Selected...

  1. DEPARTMENT OF COMMERCE BUREAU OF FISHERIES

    E-Print Network [OSTI]

    . . . .. ....... . .... . ........... . . . .. . ........ .. .... . .. . . Wholesale fresh-fish trade .... . . . .... .. .......... ..... .. . ..... . .. . . . .. . Fishery products... . ... ... . . ............... . . . . ................. . Products by apparatus .............. . ... ...... ... .......... . ......... . Wholesale fresh-fish trade

  2. Price/Cost Proposal Form

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

    PREPARATION INSTRUCTIONS PriceCost Proposal: Provide complete, current, and accurate cost or pricing data in accordance with Federal and Department of Energy Acquisition...

  3. Reforming TSOs: using the 'third package' Legislation to promote efficiency and accelerate regional integration in EU wholesale power markets

    SciTech Connect (OSTI)

    Moselle, Boaz

    2008-10-15T23:59:59.000Z

    The EU is developing new legislation - the so-called ''Third Package'' - to foster competition in its electric power markets. These proposals could be improved by adding more focus on regional integration of wholesale power markets, allowing more leeway for arrangements that fit the diverse existing patterns of transmission ownership and control, and addressing upfront new regulatory concerns that arise when transmission is divested as an independent, for-profit business. (author)

  4. 2007 Wholesale Power Rate Case Initial Proposal : Section 7(b)(2) Rate Test Study.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2005-11-01T23:59:59.000Z

    Section 7(b)(2) of the Pacific Northwest Electric Power Planning and Conservation Act (Northwest Power Act), 16 U.S.C. {section} 839e(b)(2), directs the Bonneville Power Administration (BPA) to conduct, after July 1, 1985, a comparison of the projected rates to be charged its preference and Federal agency customers for their firm power requirements, over the rate test period plus the ensuing four years, with the costs of power (hereafter called rates) to those customers for the same time period if certain assumptions are made. The effect of this rate test is to protect BPA's preference and Federal agency customers wholesale firm power rates from certain specified costs resulting from provisions of the Northwest Power Act. The rate test can result in a reallocation of costs from the general requirements loads of preference and Federal agency customers to other BPA loads. The rate test involves the projection and comparison of two sets of wholesale power rates for the general requirements loads of BPA's public body, cooperative, and Federal agency customers (7(b)(2) Customers). The two sets of rates are: (1) a set for the test period and the ensuing four years assuming that section 7(b)(2) is not in effect (known as Program Case rates); and (2) a set for the same period taking into account the five assumptions listed in section 7(b)(2), (known as 7(b)(2) Case rates). Certain specified costs allocated pursuant to section 7(g) of the Northwest Power Act are subtracted from the Program Case rates. Next, each nominal rate is discounted to the beginning of the test period of the relevant rate case. The discounted Program Case rates are averaged, as are the 7(b)(2) Case rates. Both averages are rounded to the nearest tenth of a mill for comparison. If the average Program Case rate is greater than the average 7(b)(2) Case rate, the rate test triggers. The difference between the average Program Case rate and the average 7(b)(2) Case rate determines the amount to be reallocated from the 7(b)(2) Customers to other BPA loads in the rate proposal test period.

  5. 851 S.W. Sixth Avenue, Suite 1100 Steve Crow 503-222-5161 Portland, Oregon 97204-1348 Executive Director 800-452-5161

    E-Print Network [OSTI]

    wholesale power price forecast paper, which will supersede the price forecast of the Fifth Power Plan of the Interim Wholesale Power Price Forecast paper, to supersede the Final Wholesale Power Price Forecast found

  6. State energy price and expenditure report 1989

    SciTech Connect (OSTI)

    Not Available

    1991-09-30T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

  7. Classification of Commodity Price Forecast With Random Forests and Bayesian

    E-Print Network [OSTI]

    de Freitas, Nando

    economy. Commodity prices are key economical20 drivers in the market. Raw products such as oil, gold 15 1 Introduction16 17 1.1 Forecasting the commodities market18 The commodities market focuses of prices in both the short and long-term view25 point to help market participants gage a greater

  8. MFR PAPER 987 During 1968-1971, retail prices

    E-Print Network [OSTI]

    20 percent and poultry prices, 6 percent, in the ame period (Figure I). Despite the price freeze on meat products shortly afte r- ward , and other pro posals in the wi nd would serve to create fur- ther dispa rities between the meat farmer' share of the consumer's dollar and the fisherman's share. Also

  9. adapted swimming pool reactor austria: Topics by E-print Network

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

    Summary: participation in wholesale energy markets; and sponsored abe indexed to wholesale energy market prices (i.e. eitherWholesale Markets in the Southwest Power Pool SPP...

  10. Demand Response Valuation Frameworks Paper

    E-Print Network [OSTI]

    Heffner, Grayson

    2010-01-01T23:59:59.000Z

    37 3.8.1. Impacts of DR programs on Wholesale MarketPrice Response on Wholesale Markets.in Organized Wholesale Markets .19

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

    E-Print Network [OSTI]

    Darghouth, Naim Richard

    2013-01-01T23:59:59.000Z

    s PV generation in hour h, ? is wholesale price in hourload purchased in the wholesale market in hour h,economic value in wholesale energy markets. Progress in

  12. Multi-Factor Energy Price Models Exotic Derivatives Pricing

    E-Print Network [OSTI]

    Jaimungal, Sebastian

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  14. Diesel prices slightly increase

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel pricesDiesel prices slightlyDiesel prices

  15. Principal UncertaintiesPrincipal Uncertainties Their Representation in the Regional Portfolio ModelTheir Representation in the Regional Portfolio Model

    E-Print Network [OSTI]

    % 20% 30% 40% 50% 60% 70% 80% 90% 100% #12;Page 5 9 Wholesale Electricity PricesWholesale Electricity

  16. 2007 Wholesale Power Rate Adjustment Proceeding (WP-07) : Administrator's Final Record of Decision.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    This Record of Decision (ROD) contains the decisions of the Bonneville Power Administration (BPA), based on the record compiled in this rate proceeding, with respect to the adoption of power rates for the three-year rate period commencing October 1, 2006, through September 30, 2009. This ''2007 Wholesale Power Rate Adjustment Proceeding'' is designed to establish replacement rate schedules and General Rate Schedule Provisions (GRSPs) for those that expire on September 30, 2006. This power rate case also establishes the General Transfer Agreement (GTA) Delivery Charge for the period of October 1, 2007, through September 30, 2009. BPA's Power Subscription Strategy and Record of Decision (Subscription Strategy), as well as other Agency processes, provide much of the policy context for this rate case and are described in Section 2. This ROD follows a full evidentiary hearing and briefing, including an Oral Argument before the BPA Administrator. Sections 3 through 18, including any appendices or attachments, present the issues raised by parties in this proceeding, the parties positions, BPA staff positions on the issues, BPA's evaluations of the positions, and the Administrator's decisions. Parties had the opportunity to file briefs on exceptions to the Draft ROD, before issuance of this Final Record of Decision.

  17. The economic effects of liberalized U.S.-Mexico dry onion trade

    E-Print Network [OSTI]

    Gillis, Melanie

    1993-01-01T23:59:59.000Z

    Prices Effect on U. S. Production and Shipments. . . . . . . . Effect on Imports from Mexico Effect on Consumption in the U. S. and Exports to Foreign Countries. . . . . . . Effect on Consumer and Producer Surplus. . . . , . . Effect on Trade Flows...'s prices are comparatively high. For example in Monterrey, Mexico, wholesale dry onion prices are lowest when U. S. imports from Mexico are large and prices in the Dallas wholesale market are at their highest seasonal level (Figure 5). This occurs...

  18. Pricing an Annuity

    E-Print Network [OSTI]

    (We would certainly charge more to cover administrative costs and to allow for a .... The Price of the Annuity (H12) is the last value in the “Total Present Value to ...

  19. The ethics of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad

    2010-07-15T23:59:59.000Z

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

  20. A pricing problem under Monge property

    E-Print Network [OSTI]

    buyers have to be served and show that the pricing problem still admits a dynamic programming. algorithm if ... An early reference for an optimization application of this property dates back to 1781 when the ..... Personal communication, 2003. ... Heuristics For Product-Line Design Using Conjoint Analysis, Management.

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

  3. Competitive Multi-period Pricing with Fixed Inventories

    E-Print Network [OSTI]

    Perakis, Georgia

    This paper studies the problem of multi-period pricing for perishable products in a competitive (oligopolistic) market. We study non cooperative Nash equilibrium policies for sellers. At the beginning of the time horizon, ...

  4. 2007 Wholesale Power Rate Case Final Proposal : Section 7(b)(2) Rate Test Study and Documentation.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    2006-07-01T23:59:59.000Z

    Section 7(b)(2) of the Pacific Northwest Electric Power Planning and Conservation Act (Northwest Power Act), 16 U.S.C. {section} 839e(b)(2), directs the Bonneville Power Administration (BPA) to conduct, after July 1, 1985, a comparison of the projected rates to be charged its preference and Federal agency customers for their firm power requirements, over the rate test period plus the ensuing 4 years, with the costs of power (hereafter called rates) to those customers for the same time period if certain assumptions are made. The effect of this rate test is to protect BPA's preference and Federal agency customers wholesale firm power rates from certain specified costs resulting from certain provisions of the Northwest Power Act. The rate test can result in a reallocation of costs from the general requirements loads of preference and Federal agency customers to other BPA loads. The rate test involves the projection and comparison of two sets of wholesale power rates for the general requirement loads of BPA's public body, cooperative, and Federal agency customers (collectively, the 7(b)(2) Customers). The two sets of rates are: (1) a set for the test period and the ensuing four years assuming that Section 7(b)(2) is not in effect (known as Program Case rates); and (2) a set for the same period taking into account the five assumptions listed in section 7(b)(2) (known as 7(b)(2) Case rates). Certain specified costs allocated pursuant to section 7(g) of the Northwest Power Act are subtracted from the Program Case rates. Next, each nominal rate is discounted to the beginning of the test period of the relevant rate case. The discounted Program Case rates are averaged, as are the 7(b)(2) Case rates. Both averages are rounded to the nearest tenth of a mill for comparison. If the average of the Program Case rates is greater than the average of the 7(b)(2) Case rates, the rate test triggers. The difference between the average of the Program Case rates and the average of the 7(b)(2) Case rates determines the amount to be reallocated from the 7(b)(2) Customers to other BPA loads in the rate test period. The purpose of this Study is to describe the application of the ''Section 7(b)(2) Implementation Methodology (Implementation Methodology)'' and the results of such application. The accompanying Section 7(b)(2) Rate Test Study Documentation, WP-07-FS-BPA-06A, contains the documentation of the computer models and data used to perform the 7(b)(2) rate test. This Study is organized into three major sections. The first section provides an introduction to the study, as well as a summary of the section ''7(b)(2) Legal Interpretation and Implementation Methodology''. The second section describes the methodology used in conducting the rate test. It provides a discussion of the calculations performed to project the two sets of power rates that are compared in the rate test. The third section presents a summary of the results of the rate test for the WP-07 Final Rate Proposal.

  5. Fewer Prices than Zones Steven Stoft

    E-Print Network [OSTI]

    California at Berkeley. University of

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

  6. MTBE, methanol prices rise

    SciTech Connect (OSTI)

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

    1995-12-20T23:59:59.000Z

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

  7. Determining Price Reasonableness in UESC Price Proposals

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels DataDepartment of Energy Your Density Isn't Your Destiny:Revised Finding of No53197E T A * S H I E LGeothermal * AugustDETERMINING PRICE

  8. Table 14. U.S. Propane (Consumer Grade) Prices by Sales Type

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

    and EIA-782B, "Resellers'Retailers' Monthly Petroleum Product Sales Report." 14. U.S. Propane (Consumer Grade) Prices by Sales Type 28 Energy Information Administration ...

  9. Low natural gas prices may drive up FY 2014-2015 power rates

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

    natural gas prices? Production Much has been written over the past few years about "fracking," the technology of hydraulic fracturing in horizontally drilled wells that has made...

  10. Open Automated Demand Response Dynamic Pricing Technologies and Demonstration

    E-Print Network [OSTI]

    Ghatikar, Girish

    2010-01-01T23:59:59.000Z

    Goodin. 2009. “Open Automated Demand Response Communicationsin Demand Response for Wholesale Ancillary Services. ” InOpen Automated Demand Response Demonstration Project. LBNL-

  11. Putting downward pressure on natural gas prices: The impact of renewable energy and energy efficiency

    SciTech Connect (OSTI)

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

    2004-05-20T23:59:59.000Z

    Increased deployment of renewable energy (RE) and energy efficiency (EE) is expected to reduce natural gas demand and in turn place downward pressure on gas prices. A number of recent modeling studies include an evaluation of this effect. Based on data compiled from those studies summarized in this paper, each 1% reduction in national natural gas demand appears likely to lead to a long-term average wellhead gas price reduction of 0.75% to 2.5%, with some studies predicting even more sizable reductions. Reductions in wellhead prices will reduce wholesale and retail electricity rates, and will also reduce residential, commercial, and industrial gas bills. We further find that many of these studies appear to represent the potential impact of RE and EE on natural gas prices within the bounds of current knowledge, but that current knowledge of how to estimate this effect is extremely limited. While more research is therefore needed, existing studies suggest that it is not unreasonable to expect that any increase in consumer electricity costs attributable to RE and/or EE deployment may be substantially offset by the corresponding reduction in delivered natural gas prices. This effect represents a wealth transfer (from natural gas producers to consumers) rather than a net gain in social welfare, and is therefore not a standard motivation for policy intervention on economic grounds. Reducing gas prices and thereby redistributing wealth may still be of importance in policy circles, however, and may be viewed in those circles as a positive ancillary effect of RE and EE deployment.

  12. 15.818 Pricing, Spring 2005

    E-Print Network [OSTI]

    Tucker, Catherine

    This course, primarily discussion based, provides a framework for understanding pricing strategies and tactics. Topics covered include pricing in competitive markets, estimating demand, price discrimination, the role of ...

  13. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01T23:59:59.000Z

    in construction and price development were synchronized with3 Models of Housing price Development Based on EconomicTable 4 Models of Housing Price Development Based on Lagged

  14. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15T23:59:59.000Z

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

  15. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

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

    1948-01-01T23:59:59.000Z

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

  16. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continue toDiesel prices decrease

  17. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continue toDiesel prices

  18. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continue toDiesel pricesDiesel

  19. Diesel prices flat

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S.Diesel prices flat The

  20. Diesel prices flat nationally

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S.Diesel prices flat

  1. Diesel prices increase

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S.Diesel prices

  2. Diesel prices increase

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S.Diesel pricesDiesel

  3. Diesel prices increase nationally

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S.DieselDiesel prices

  4. Diesel prices slightly decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel pricesDiesel prices slightly decrease The

  5. Diesel prices slightly decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel pricesDiesel prices slightly decrease

  6. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheatingpropane price

  7. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreasespropane price

  8. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices

  9. Residential propane prices decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices5, 2014

  10. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane prices5,

  11. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropane prices

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

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

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

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

    E-Print Network [OSTI]

    Wang, Yazhen

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

  14. Best Buys and Unit Pricing

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02T23:59:59.000Z

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

  15. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2004-11-30T23:59:59.000Z

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that stock market prices are correlated ...

  16. Pricing with uncertain customer valuations

    E-Print Network [OSTI]

    2007-10-16T23:59:59.000Z

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

  17. National Laboratory Dorene Price

    E-Print Network [OSTI]

    : price@bnl.gov ACTIVATED ALUMINUM HYDRIDE HYDROGEN STORAGE COMPOSITIONS AND USES THEREOF Brookhaven alanates doped with such metal catalysts. Hydrogen is one part of a balanced, strategic portfolio of energy for the U.S. Department of Energy. An activated aluminum hydride (AlH3 ) composition to control

  18. Vertical relationships between manufacturers and retailers: inference with limited data

    E-Print Network [OSTI]

    Villas-Boas, Sofia B.

    2007-01-01T23:59:59.000Z

    supply models when wholesale prices are not observed. TheU.S. the results imply that wholesale prices are close tofor a particular market. Wholesale price data are typically

  19. Competing for Shelf Space.

    E-Print Network [OSTI]

    Martínez-de-Albéniz, V.; Roels, G.

    2007-01-01T23:59:59.000Z

    the changes in supplier i’s wholesale price and pro?t, i =space despite their lower wholesale prices. Using a di?erentImpact of Manufacturers’ Wholesale Prices a on a Retailer’s

  20. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Jaramillo, Paulina

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

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

    SciTech Connect (OSTI)

    Haining, R.

    1983-11-01T23:59:59.000Z

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

  3. Assessment of Summer 1997 motor gasoline price increase

    SciTech Connect (OSTI)

    NONE

    1998-05-01T23:59:59.000Z

    Gasoline markets in 1996 and 1997 provided several spectacular examples of petroleum market dynamics. The first occurred in spring 1996, when tight markets, following a long winter of high demand, resulted in rising crude oil prices just when gasoline prices exhibit their normal spring rise ahead of the summer driving season. Rising crude oil prices again pushed gasoline prices up at the end of 1996, but a warm winter and growing supplies weakened world crude oil markets, pushing down crude oil and gasoline prices during spring 1997. The 1996 and 1997 spring markets provided good examples of how crude oil prices can move gasoline prices both up and down, regardless of the state of the gasoline market in the United States. Both of these spring events were covered in prior Energy Information Administration (EIA) reports. As the summer of 1997 was coming to a close, consumers experienced yet another surge in gasoline prices. Unlike the previous increase in spring 1996, crude oil was not a factor. The late summer 1997 price increase was brought about by the supply/demand fundamentals in the gasoline markets, rather than the crude oil markets. The nature of the summer 1997 gasoline price increase raised questions regarding production and imports. Given very strong demand in July and August, the seemingly limited supply response required examination. In addition, the price increase that occurred on the West Coast during late summer exhibited behavior different than the increase east of the Rocky Mountains. Thus, the Petroleum Administration for Defense District (PADD) 5 region needed additional analysis (Appendix A). This report is a study of this late summer gasoline market and some of the important issues surrounding that event.

  4. Michigan residential heating oil and propane price survey: 1995--1996 heating season. Final report

    SciTech Connect (OSTI)

    Moriarty, C.

    1996-05-01T23:59:59.000Z

    This report summarizes the results of a survey of residential No. 2 distillate fuel (home heating oil) and liquefied petroleum gas (propane) prices over the 1995--1996 heating season in Michigan. The Michigan`s Public Service Commission (MPSC) conducted the survey under a cooperative agreement with the US Department of Energy`s (DOE) Energy Information Administration (EIA). This survey was funded in part by a grant from the DOE. From October 1995 through March 1996, the MPSC surveyed participating distributors by telephone for current residential retail home heating oil and propane prices. The MPSC transmitted the data via a computer modem to the EIA using the Petroleum Electronic Data Reporting Option (PEDRO). Survey results were published in aggregate on the MPSC World Wide Web site at http://ermisweb.state.mi.us/shopp. The page was updated with both residential and wholesale prices immediately following the transmission of the data to the EIA. The EIA constructed the survey using a sample of Michigan home heating oil and propane retailers. The sample accounts for different sales volumes, geographic location, and sources of primary supply.

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

    SciTech Connect (OSTI)

    Vineyard, T.A.

    1988-05-01T23:59:59.000Z

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

  6. Price-Responsive Load (PRL) Program - Framing Paper No.1

    SciTech Connect (OSTI)

    Goldman, Charles A.

    2002-03-01T23:59:59.000Z

    By definition, effective and efficient competitive markets need a supply side and a demand side. One criticism of electric restructuring efforts in many states is that most of the attention has been focused on the supply side, in a market focused on the short term. In general, the demand side of the market has been under-addressed. The objective of the New England Demand Response Initiative (NEDRI) is to develop a comprehensive, coordinated set of demand response programs for the New England regional power markets. NEDRI aims to maximize the capability of demand response to compete in the wholesale market and to improve the economic efficiency and environmental profile of the electric sector. To those ends, NEDRI is focusing its efforts in four interrelated areas: (1) ISO-level reliability programs, (2) Market-based price-responsive load programs, (3) Demand response at retail through pricing, rate design, and advanced metering, and (4) End-use energy efficiency resources as demand response. The fourth area, energy efficiency, is the subject of this framing paper. Energy efficiency reduces the energy used by specific end-use devices and systems, typically without affecting the level of service and without loss of amenity. Energy savings and peak load reductions are achieved by substituting technically more advanced equipment, processes, or operational strategies to produce the same or an improved level of end-use service with less electricity. In contrast, load management programs lower peak demand during specific, limited time periods by either (1) influencing the timing of energy use by shifting load to another time period, or (2) reducing the level of energy use by curtailing or interrupting the load, typically with some loss of service or amenity.

  7. The Role of Demand Response in Default Service Pricing

    SciTech Connect (OSTI)

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-03-10T23:59:59.000Z

    Dynamic retail electricity pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response often appears to be an afterthought. But that may be changing as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period, during which utilities were required to offer a default or ''standard offer'' generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached, or are nearing, the end of their transitional period and several states have adopted an RTP-type default service for large commercial and industrial (C&I) customers. Are these initiatives motivated by the desire to induce greater demand response, or is RTP being called upon to serve a different role in competitive markets? Surprisingly, we found that in most cases, the primary reason for adopting RTP as the default service was not to encourage demand response, but rather to advance policy objectives related to the development of competitive retail markets. However, we also find that, if efforts are made in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This paper, which draws from a lengthier report, describes the experience to date with default RTP in the U.S., identifying findings related to its actual and potential role as an instrument for cultivating price responsive demand [1]. For each of the five states currently with default RTP, we conducted a detailed review of the regulatory proceedings leading to its adoption. To further understand the intentions and expectations of those involved in its design and implementation, we also interviewed regulatory staff and utilities in each state, as well as eight of the most prominent competitive retail suppliers operating in these markets which, together, comprised about 60-65% of competitive C&I sales in the U.S. in 2004 [2].

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Integrated Retail/Wholesale Power System Operation with SmartSystem Operation with Smart--Grid Functionality

  9. Optimal Pricing for Integrated-Services Networks with Guaranteed Quality of Service&

    E-Print Network [OSTI]

    Peha, Jon M.

    and the opportunity cost of using network capacity. Our findings lays out a framework for making investment of pricing and capacity investment for an integrated-services network with guaranteed quality of service to pricing a tangible product, except that the marginal cost of producing the product is replaced

  10. Perturbation Analysis of the Wholesale Energy Market Equilibrium in the Presence of Renewables

    E-Print Network [OSTI]

    Kiani, Arman

    2012-01-01T23:59:59.000Z

    One of the main challenges in the emerging smart grid is the integration of renewable energy resources (RER). The latter introduces both intermittency and uncertainty into the grid, both of which can affect the underlying energy market. An interesting concept that is being explored for mitigating the integration cost of RERs is Demand Response. Implemented as a time-varying electricity price in real-time, Demand Response has a direct impact on the underlying energy market as well. Beginning with an overall model of the major market participants together with the constraints of transmission and generation, we analyze the energy market in this paper and derive conditions for global maximum using standard KKT criteria. The effect of uncertainties in the RER on the market equilibrium is then quantified, with and without real-time pricing. Perturbation analysis methods are used to compare the equilibria in the nominal and perturbed markets. These markets are also analyzed using a game-theoretic point of view. Suff...

  11. Producers post increase as prices plumb new depths

    SciTech Connect (OSTI)

    Young, I.

    1993-02-03T23:59:59.000Z

    European polypropylene (PP) producers are gearing up for yet another attempt to raise prices and stem their losses. Despite a string of pricing initiatives throughout 1992, the oversupplied PP market continued to sink. It slipped again in January, with many producers accusing their competitors of price cutting to raise sales volumes. The difference this time is that all the major players have stated their readiness to hike prices, while output has been cut back considerably to reduce stocks. Sentiment in the market is that prices simply cannot be allowed to go any lower. Neste Chemicals (Helsinki) has led the way by announcing a 40-pfennig/kg increase, effective March 1. Sven Svensson, Neste's v.p./PP, says the increase was announced early to allow converters to adjust the prices of their products. Huels (Marl, Germany) has since announced a 30 pfennig-40 pfennig/kg hike for February or March, Hoechst (Frankfurt) says it will go for a similar increase March 1, Amoco Chemical Europe (Geneva) has promised a hike effective February 1, while Himont (Milan) and Brussels-based Petrofina and Solvay confirm they will also be raising prices. There could be a greater sense of urgency now that propylene contracts have been raised for February. The lowest PP price so far reported in Europe has been BF12.50/kg (DM0.61/kg) for raffia-grade material in Belgium. The French market is about F2.20/kg; the UK at [Brit pounds]290/m.t.; German prices are slightly firmer at DM0.70/kg, with injection molding at about DM0.75/kg. PP copolymer prices have fallen precipitously since early December, with German levels dropping by 20 pfennig/kg, to about DM0.90/kg.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    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

  16. Trade performances and the estimation of price-elasticities: Quality matters+ By Matthieu Crozet* and Hlne Erkel-Rousse**

    E-Print Network [OSTI]

    Boyer, Edmond

    Trade performances and the estimation of price-elasticities: Quality matters+ By Matthieu Crozet : Traditional trade models ignoring the dimension of product quality generally lead to excessively low trade price elasticities. In this paper, we show that higher estimated trade price elasticities, more

  17. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    per day. Monthly crude oil production Iran Iraq KuwaitEIA Table 1.2, “OPEC Crude Oil Production (Excluding Lease2008, from EIA, “Crude Oil Production. ” Figure 16. U.S.

  18. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Figure 5. Monthly oil production for Iran, Iraq, and Kuwait,day. Monthly crude oil production Iran Iraq Kuwait Figure 6.and the peak in U.S. oil production account for the broad

  19. The role of branding and pricing on health outcomes via the placebo response

    E-Print Network [OSTI]

    Waber, Rebecca L

    2008-01-01T23:59:59.000Z

    Marketing factors such as pricing and branding are known to affect people's judgments and expectations regarding a product. When the product in question is a medical treatment, this effect may modify the placebo response. ...

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

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

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

  1. An economic analysis of the Philippine Republic's foreign trade in coconut and coconut by-products with emphasis on trade with the United States

    E-Print Network [OSTI]

    Aspiras, Rogelio A

    1964-01-01T23:59:59.000Z

    and nake it loss sasQp adaptable to noes for whQh this characteristic is andeeirable, Thos) csconnt oil can be need ts good advantage in n&rg&rine for%%lotions when a hatter iiks consistoacp is wonted The low degree of aaoatnration of ooeonat oil sakes...?& 1949 1'961 ' ~ ? ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ ~ 60 Siiiple Scatter l&lagram Between Per Capita roo. l and !?on-I'ood Uses oi Coconut Oil anoi wholesale Price oi' Copra& U? S ~ & 1949...

  2. Utility Green Pricing Programs: Design, Implementation, and Consumer Response

    SciTech Connect (OSTI)

    Bird, L.; Swezey, B.; Aabakken, J.

    2004-02-01T23:59:59.000Z

    The term green pricing refers to programs offered by utilities in traditionally regulated electricity markets, which allow customers to support the development of renewable energy sources by paying a small premium on their electric bills. Since the introduction of the concept in the United States, the number of unique utility green pricing programs has expanded from just a few programs in 1993 to more than 90 in 2002. About 10% of U.S. utilities offered a green pricing option to about 26 million consumers by the end of 2002. This report provides: (1) aggregate industry data on consumer response to utility programs, which indicate the collective impact of green pricing on renewable energy development nationally; and (2) market data that can be used by utilities as a benchmark for gauging the relative success of their green pricing programs. Specifically, the paper presents current data and trends in consumer response to green pricing, as measured by renewable energy sales, participants, participation rates, and new renewable energy capacity supported. It presents data on various aspects of program design and implementation, such as product pricing, ownership of supplies, retention rates, marketing costs, the effectiveness of marketing techniques, and methods of enrolling and providing value to customers.

  3. X:\\Data_Publication\\Pma\\current\\ventura\\pma00.vp

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 0 20 40 60 80 100 120 J F M A M J J A S O N D 2000 Cents...

  4. Energy Information Administration/Petroleum Marketing Annual

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 0 20 40 60 80 100 120 J F M A M J J A S O N D 1998 Cents...

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 0 25 50 75 100 125 150 175 200 225 250 J F M A M J J A S O...

  6. untitled

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 75 125 175 225 275 325 375 425 J F M A M J J A S O N D 2008...

  7. X:\\L6046\\Data_Publication\\Pma\\current\\ventura\\pma.vp

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 0 20 40 60 80 100 120 J F M A M J J A S O N D 2001 Cents...

  8. untitled

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 25 75 125 175 225 275 J F M A M J J A S O N D 2009 Cents...

  9. untitled

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 75 100 125 150 175 200 225 250 275 300 325 J F M A M J J A...

  10. X:\\L6046\\Data_Publication\\Pma\\current\\ventura\\pma.vp

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

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 0 20 40 60 80 100 120 J F M A M J J A S O N D 2002 Cents...

  11. Energy Information Administration/Petroleum Marketing Annual

    Gasoline and Diesel Fuel Update (EIA)

    Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 0 20 40 60 80 100 120 J F M A M J J A S O N D 1999 Cents...

  12. X:\\L6046\\Data_Publication\\Pma\\current\\ventura\\pma.vp

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

    Excluding Taxes Motor Gasoline No. 2 Distillate Residual Fuel Oil Figure 4. U.S. Refiner Wholesale Petroleum Product Prices 10 30 50 70 90 110 130 J F M A M J J A S O N D 2003...

  13. Mississippi Natural Gas 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved2009 2010

  14. Mississippi Natural Gas 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved2009

  15. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continue to increaseDiesel

  16. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continue to increaseDieselDiesel

  17. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continue to

  18. Diesel prices decrease slightly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S. DieselDieselDiesel

  19. Diesel prices rise slightly

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625govInstrumentstdmadapInactiveVisitingContract Management FermiDavidDiesel prices continueU.S.DieselDieselDiesel

  20. World Crude Oil 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and

  1. Average Commercial Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket Module8.28

  2. Average Residential Price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 OilU.S.5AreOil andMarket

  3. Georgia Natural Gas Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,12803 Table A1.GasYear JanPriceIndustrial Consumers48 4.95

  4. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) - HouseholdshortEIA-782AAdministrationheating oil price

  5. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating oil

  6. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating oilpropane

  7. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheating

  8. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheatingheatingpropane

  9. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price

  10. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases The average

  11. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases The

  12. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases Thepropane

  13. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreases

  14. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreasespropane

  15. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price decreasespropanepropane

  16. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price

  17. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014 Residential

  18. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014

  19. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propane

  20. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05, 2014propanepropane

  1. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propane

  2. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropane

  3. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropane price05,propanepropanepropane

  4. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices increase The

  5. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices increase

  6. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices increasepropane

  7. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane prices

  8. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil pricepropanepropane pricespropane price

  9. What Is Price Volatility

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

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

  10. Table 1. Crude Oil Prices

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

    December 1980; Form EIA-14, "Refiners' Monthly Cost Report," January 1981 to present. 1. Crude Oil Prices 2 Energy Information Administration Petroleum Marketing Annual 1996...

  11. Table 1. Crude Oil Prices

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

    December 1980; Form EIA-14, "Refiners' Monthly Cost Report," January 1981 to present. 1. Crude Oil Prices 2 Energy Information Administration Petroleum Marketing Annual 1997...

  12. ,"New Mexico Natural Gas Prices"

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

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

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

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

  15. Postgraduate Scholarship Pricing temperature derivatives and modelling

    E-Print Network [OSTI]

    Banaji,. Murad

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

  16. Conservation Market Price Adder Wally Gibson

    E-Print Network [OSTI]

    and offer into market, if market price justifies cost of building · Utilities purchase at market price gas units · Provides surplus to sell into market in moderate price periods to help cost recovery 2 Overview · Market price does not equal the cost of avoided resource · Market price is still

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

    E-Print Network [OSTI]

    2012-09-26T23:59:59.000Z

    cally used in chemical engineering, e.g., to avoid irreversible reactions in ... Our basic problem is based on an economic setting with a recession period followed.

  18. U.S. Refiner Petroleum Product 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: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heatingintensity Energy2009 2010 2011Day,

  19. Improved Price Indexes for Durable Goods: Measuring the Course of Sweding Housing Prices

    E-Print Network [OSTI]

    Englund, Peter; Quigley, John M.; Redfearn, Christian L.

    1996-01-01T23:59:59.000Z

    2.3. Explanations for the price development may be sought ina similar pattern of price development across regions during

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

  2. Retail Policies and Competition in the Gasoline Industry

    E-Print Network [OSTI]

    Borenstein, Severin; Bushnell, Jim

    2005-01-01T23:59:59.000Z

    wholesale gasoline prices and retail prices. It includes theTable 4 - Gasoline Price Components Year Retail Price TaxesSupply Lower Retail Gasoline Prices? ” Contemporary Economic

  3. Economic Contributions of Florida's Agricultural, Natural Resource, Food and Kindred Product Manufacturing and

    E-Print Network [OSTI]

    Florida, University of

    Manufacturing and Distribution, and Service Industries in 20081 Alan W. Hodges and Mohammad Rahmani2 1 economic sectors for food and kindred product manufacturing, wholesale and retail distribution, input supplies, support services, and nature-based recreation/eco-tourism. In addition to farming, forestry

  4. Economic Contributions of Florida Agriculture, Natural Resources, Food and Kindred Product Manufacturing

    E-Print Network [OSTI]

    Florida, University of

    Manufacturing and Distribution, and Service Industries in 20061 Alan W. Hodges, Mohammad Rahmani, and W. David range of other economic sectors for food and kindred products manufacturing, wholesale and retail distribution, input suppliers, support services, and nature-based recreation. In addition to farms, forests

  5. Real Time Pricing and the Real Live Firm

    SciTech Connect (OSTI)

    Moezzi, Mithra; Goldman, Charles; Sezgen, Osman; Bharvirkar, Ranjit; Hopper, Nicole

    2004-05-26T23:59:59.000Z

    Energy economists have long argued the benefits of real time pricing (RTP) of electricity. Their basis for modeling customers response to short-term fluctuations in electricity prices are based on theories of rational firm behavior, where management strives to minimize operating costs and optimize profit, and labor, capital and energy are potential substitutes in the firm's production function. How well do private firms and public sector institutions operating conditions, knowledge structures, decision-making practices, and external relationships comport with these assumptions and how might this impact price response? We discuss these issues on the basis of interviews with 29 large (over 2 MW) industrial, commercial, and institutional customers in the Niagara Mohawk Power Corporation service territory that have faced day-ahead electricity market prices since 1998. We look at stories interviewees told about why and how they respond to RTP, why some customers report that they can't, and why even if they can, they don't. Some firms respond as theorized, and we describe their load curtailment strategies. About half of our interviewees reported that they were unable to either shift or forego electricity consumption even when prices are high ($0.50/kWh). Reasons customers gave for why they weren't price-responsive include implicit value placed on reliability, pricing structures, lack of flexibility in adjusting production inputs, just-in-time practices, perceived barriers to onsite generation, and insufficient time. We draw these observations into a framework that could help refine economic theory of dynamic pricing by providing real-world descriptions of how firms behave and why.

  6. Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India

    E-Print Network [OSTI]

    Phadke, Amol

    2007-01-01T23:59:59.000Z

    India looking at 2 mt more LNG from RasGas”. August 29 thhas planned for major LNG imports. Minimum flow constraintsbasis. Liquefied Natural Gas (LNG) Prices India is currently

  7. Determining Price Reasonableness in Federal ESPCs

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

    of effort expected. Prices for performance-period services cover mainly labor hours. Preventive maintenance and R&R prices also include replacement parts. A primary standard...

  8. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

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

  9. A critique of an internship program conducted at a wholesale nursery company and recommendations for enhancing internship programs in the College of Agriculture and Life Sciences at Texas A & M University

    E-Print Network [OSTI]

    Arrington, Mary Margaret

    1990-01-01T23:59:59.000Z

    Record of Study A CRITIQUE OF AN IMTEEWSHXP PROGRAM CONDUCTED AT A WHOLESALE NURSERY CONPANY AND RECOMMENDATIONS FOR ENHANCING X~HIP PROGRAMS XN THE COLLEGE OF AGRICULTURE AND LIFE SCIENCES AT TEXAS A & M UNIVERSITY A PROFESSIONAL PAPER Nary... is becoming more valuable. The sponsorship of a student's intern program can become a vital part of his educational process. A critique of a wholesale nursery company's internship program is examined through the participation of five students. Interviews...

  10. Nordic Market Report 2009

    E-Print Network [OSTI]

    ...........................................................................23 6 WHOLESALE POWER MARKET.................................................24 6.1 PRICE DEVELOPMENT.........................................................................................................................37 6.7 WHOLESALE POWER MARKET: CONCLUSIONS-FUNCTIONING NORDIC WHOLESALE MARKET WITH COMPETITIVE PRICES...................47 9.3 RELIABLE SUPPLY ....................................................................

  11. Risk Analysis of Interruptible Load Contracts Paula Rocha

    E-Print Network [OSTI]

    Guillas, Serge

    that the retailer absorbs the entire risk of volatile wholesale prices. Since customers are unaware of wholesale and volatile wholesale prices were averaged and spread out over long periods. In restructured power markets

  12. Effects of Temporal Wind Patterns on the Value of Wind-Generated Electricity in California and the Northwest

    E-Print Network [OSTI]

    Wiser, Ryan H

    2008-01-01T23:59:59.000Z

    power system’s load and wholesale market prices [7-11]; thisgeographical area on the wholesale market value or capacityMontana and Wyoming) with wholesale power prices and loads

  13. Calculating Long-Term Trends in the Real Real Prices of Primary Commodities

    E-Print Network [OSTI]

    and Tilton (2006). Key Words: primary commodity prices, Prebisch-Singer hypothesis, inflation correctionsCalculating Long-Term Trends in the Real Real Prices of Primary Commodities: Deflator Adjustment Resources; Energy; Environment; Other Primary Products Q32 - Exhaustible Resources and Economic Development

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

    E-Print Network [OSTI]

    Seco, Luis A.

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

  15. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    disruptions, and the peak in U.S. oil production account foroil increased 81.1% (logarithmically) between January 1979 and the peak

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2007”. comparison, Mexico used 6.6— Chinese oil consumption17. Oil production from the North Sea, Mexico’s Cantarell,

  17. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark A; Wiser, Ryan

    2008-09-15T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Noel, Michael D.

    2004-01-01T23:59:59.000Z

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

  20. Modeling of GE Appliances: Cost Benefit Study of Smart Appliances in Wholesale Energy, Frequency Regulation, and Spinning Reserve Markets

    SciTech Connect (OSTI)

    Fuller, Jason C.; Parker, Graham B.

    2012-12-31T23:59:59.000Z

    This report is the second in a series of three reports describing the potential of GE’s DR-enabled appliances to provide benefits to the utility grid. The first report described the modeling methodology used to represent the GE appliances in the GridLAB-D simulation environment and the estimated potential for peak demand reduction at various deployment levels. The third report will explore the technical capability of aggregated group actions to positively impact grid stability, including frequency and voltage regulation and spinning reserves, and the impacts on distribution feeder voltage regulation, including mitigation of fluctuations caused by high penetration of photovoltaic distributed generation. In this report, a series of analytical methods were presented to estimate the potential cost benefit of smart appliances while utilizing demand response. Previous work estimated the potential technical benefit (i.e., peak reduction) of smart appliances, while this report focuses on the monetary value of that participation. The effects on wholesale energy cost and possible additional revenue available by participating in frequency regulation and spinning reserve markets were explored.

  1. MANUFACTURING & SERVICE OPERATIONS MANAGEMENT

    E-Print Network [OSTI]

    Chiang, Wei-yu Kevin

    an upstream firm, as a result of charging a wholesale price above the marginal cost, induces its intermediary Dynamics and Channel Efficiency in Durable Product Pricing and Distribution Wei-yu Kevin Chiang College the single-period vertical price interaction in a manufacturer­retailer dyad to a multi- period setting

  2. Investors' horizon and stock prices

    E-Print Network [OSTI]

    Parsa, Sahar

    2011-01-01T23:59:59.000Z

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

  3. Table 1. Crude Oil Prices

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

    can be the month of loading, the month of landing, or sometime between those events. Prices for crude oil can be determined at a time other than the acquisition date. See the...

  4. Figure 4. World Oil Prices

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

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

  5. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01T23:59:59.000Z

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

  6. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-08-01T23:59:59.000Z

    This paper develops a simple two-country, two-good model, in which the real exchange rate, stock and bond prices are jointly determined. The model predicts that ...

  7. The power of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad; Hledik, Ryan; Tsoukalis, John

    2009-04-15T23:59:59.000Z

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

  8. Measuring U.S. Consumer Preferences for Genetically Modified Foods Using Choice Modeling Experiments: The Role of Price,

    E-Print Network [OSTI]

    Neimark, Alexander V.

    Measuring U.S. Consumer Preferences for Genetically Modified Foods Using Choice Modeling attributes of price, product benefits, and technology influence consumer demand for genetically modified food Modified Foods Using Choice Modeling Experiments: The Role of Price, Product Benefits and Technology

  9. Pricing QoS over transport networks

    E-Print Network [OSTI]

    Bouras, Christos

    Pricing QoS over transport networks Christos Bouras and Afrodite Sevasti The authors Christos and Technology Network (GRNET), Athens, Greece. Keywords Pricing, Performance measurement (quality), Transport allocation and service pricing, with particular needs for pricing mechanisms that preserve the potential

  10. Pricing Information Goods Hal R. Varian

    E-Print Network [OSTI]

    Varian, Hal R.

    on prices except the $1 a copy reproduction costs. Since this price is likely inadequate to recover fixed different prices. As we will see below, this will be true even for a producer who is only interested in costPricing Information Goods by Hal R. Varian University of Michigan June 1995 Current version: June

  11. THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION

    E-Print Network [OSTI]

    Rothman, Daniel

    This draft: April 9, 2013 Abstract The price of crude oil in the U.S. never exceeded $40 per barrel until mid. Joseph Kennedy II, New York Times, April, 10, 2012. 1 Introduction. The price of crude oil in the U.S price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our

  12. Explaining the Price of Voluntary Carbon Offsets

    E-Print Network [OSTI]

    Conte, Marc N.; Kotchen, Matthew

    2009-01-01T23:59:59.000Z

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

  13. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

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

  14. Market concentration, strategic suppliers, and price dispersion 

    E-Print Network [OSTI]

    Wade, Chad R.

    2009-05-15T23:59:59.000Z

    A central result in price theory is the law of one price: prices of a homogeneous good sold at different locations should be equal. Empirical studies of the law of one price find that it is often violated. In my dissertation ...

  15. Production

    Broader source: Energy.gov [DOE]

    Algae production R&D focuses on exploring resource use and availability, algal biomass development and improvements, characterizing algal biomass components, and the ecology and engineering of...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-01-01T23:59:59.000Z

    vs. AEO 2001 Price Forecast Natural Gas Price (nominal $/if forwards forecasts) or natural gas-fired generation (ifs reference case forecast of natural gas prices delivered to

  17. Time-to-Produce, Inventory, and Asset Prices

    E-Print Network [OSTI]

    Chen, Zhanhui

    2012-10-19T23:59:59.000Z

    In a production-based general equilibrium model, I study the impact of time-to-build and time-to-produce technology constraints and inventory on asset prices and macroeconomic quantity dynamics. A time-to-build constraint captures the delay...

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

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Rothman, Daniel

    Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships-busse@kellogg.northwestern.edu, knittel@mit.edu, f-zettelmeyer@kellogg.northwestern.edu #12;Who is Exposed to Gas Prices? How Gasoline of gasoline prices, and consumer responses to gasoline prices have been well studied. In this paper

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

    E-Print Network [OSTI]

    Lotko, William

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