Sample records for outlook market prices

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

    SciTech Connect (OSTI)

    NONE

    1998-02-01T23:59:59.000Z

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

  2. World Biodiesel Markets The Outlook to 2010

    E-Print Network [OSTI]

    World Biodiesel Markets The Outlook to 2010 A special study from F.O. Licht and Agra CEAS This important new study provides a detailed analysis of the global biodiesel market and the outlook for growth, including the regulatory and trade framework, feedstock supply and price developments, biodiesel production

  3. Energy Market Outlook

    Broader source: Energy.gov [DOE]

    Presentation covers the Federal Utility Partnership Working Group Energy Market Outlook: Helping Customers Meet Their Diverse Energy Goals, held on May 22-23, 2013 in San Francisco, California.

  4. Global Biodiesel Market Trends,Global Biodiesel Market Trends, Outlook and OpportunitiesOutlook and Opportunities

    E-Print Network [OSTI]

    Global Biodiesel Market Trends,Global Biodiesel Market Trends, Outlook and OpportunitiesPresident, Emerging Markets Online http://www.emerginghttp://www.emerging--markets.commarkets.com Author, Biodiesel 2020: A Global Market SurveyAuthor, Biodiesel 2020: A Global Market Survey Columnist

  5. Global Liquefied Natural Gas Market: Status and Outlook, The

    Reports and Publications (EIA)

    2003-01-01T23:59:59.000Z

    The Global Liquefied Natural Gas Market: Status & Outlook was undertaken to characterize the global liquefied natural gas (LNG) market and to examine recent trends and future prospects in the LNG market.

  6. 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

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

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

  8. Economic Impacts of Changes in United States Rice Price Variability on Market Efficiency, Marketing Margin and Producer Viability. 

    E-Print Network [OSTI]

    Grant, W.R.; Richardson, J.W.; Brorsen, B.W.; Rister, M.E

    1984-01-01T23:59:59.000Z

    ------.---------------- - , ,,,, --,,,,,-- -,/""----- ... ... .,,;" 2.5-~~---.---r--.---~--.--.--~---r--.---~--~~--~ 55 57 59 61 63 65 67 69 71 73 75 77 79 81 83 YEAR Figure 7. Season average rice prices, 7955-82. Data Source: USDA- fRS, Rice Outlook and Situation 3 MARKET EFFICIENCY METHODS Sporleder...% level. Annual Texas mill prices (adjusted to a rough rice equivalence by a factor of 0.71) (USDA, Rice Situation and Outlook) and annual Texas farm prices were used to calculate the margins. The supply of marketing services was estimated...

  9. Short-Term Energy Outlook Supplement: Energy Price Volatility and Forecast Uncertainty

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

    It is often noted that energy prices are quite volatile, reflecting market participants' adjustments to new information from physical energy markets and/or markets in energy-related financial derivatives. Price volatility is an indication of the level of uncertainty, or risk, in the market. This paper describes how markets price risk and how the marketclearing process for risk transfer can be used to generate "price bands" around observed futures prices for crude oil, natural gas, and other commodities.

  10. Markets for Ecosystem Services from Agriculture: Outlook

    E-Print Network [OSTI]

    Hill, Jeffrey E.

    Credit Trading, potential for but does not exist yet for agriculture in FL · Renewable Energy: ­ Growing from Agriculture: Policy & Market Trends · Increased federal funding in recent years dedicated Participates in ES Markets? BUYERS - Government agencies - NGOs - Private individuals - Corporations

  11. Developing a Marketing Plan

    E-Print Network [OSTI]

    Bevers, Stan; Waller, Mark L.; Amosson, Stephen H.; McCorkle, Dean

    2009-03-02T23:59:59.000Z

    Developing a good marketing plan will help you identify and quantify costs, set price goals, determine potential price outlook, examine production and price risk, and develop a strategy for marketing your crop. This publication describes...

  12. Developing a Marketing Plan 

    E-Print Network [OSTI]

    Bevers, Stan; Waller, Mark L.; Amosson, Stephen H.; McCorkle, Dean

    2009-03-02T23:59:59.000Z

    Developing a good marketing plan will help you identify and quantify costs, set price goals, determine potential price outlook, examine production and price risk, and develop a strategy for marketing your crop. This publication describes...

  13. Essays on equity prices and market structures 

    E-Print Network [OSTI]

    Wu, Juan

    2009-05-15T23:59:59.000Z

    In the first essay, we provide new evidence on the relationship between order flow and prices, an issue that is central to asset pricing and market microstructure. We examine proprietary data on a broad panel of NYSE-listed ...

  14. Edgeworth price cycles in retail gasoline markets

    E-Print Network [OSTI]

    Noel, Michael David, 1971-

    2002-01-01T23:59:59.000Z

    In this dissertation, I present three essays that are motivated by the interesting and dynamic price-setting behavior of firms in Canadian retail gasoline markets. In the first essay, I examine behavior at the market level ...

  15. Market concentration, strategic suppliers, and price dispersion

    E-Print Network [OSTI]

    Wade, Chad R.

    2009-05-15T23:59:59.000Z

    locations. In the decentralized market structure, suppliers allocate goods among the local markets without knowing the realized prices (or allocation strategies of the other firms) in the economy. The mechanism by which suppli- ers determine the delivery... that the relative prices of these commodities does not fluctuate around a mean, but are serially correlated or influenced heavily by the exchange...

  16. Proceedings: Energy-efficient office technologies: The outlook and market

    SciTech Connect (OSTI)

    Brown, D.; Gould, S.; Halperson, C. (Policy Research Associates, Inc., Reston, VA (United States))

    1992-12-01T23:59:59.000Z

    Energy-Efficient Office Technologies. The Outlook and Market Workshop held from June 17 to 18, 1992, in San Jose, California, was planned with the goal of developing and implementing strategies to make more energy-efficient office automation equipment a part of the modern business environment. The consumption of electricity in the office environment has increased dramatically since the advent of the desktop personal computer for the mass market. During that same period, other office automation equipment, such as facsimile machines (faxes) and convenience copiers, has also proliferated, contributing to a dramatic increase in plug loads. Participants in the workshop gathered in plenary session to hear a series of stage-setting'' informal presentations, then divided into three concurrent working groups: PCs, Workstations, and Terminals; Imaging Technologies: Printers, Copiers, and Facsimile Machines; and LANS, Software, and Telecommunications. These working groups developed brief consensus statements of the state of the art and trends in energy efficiency and power management; user acceptance; and energy-efficiency implementation strategies. More complete statistics on power consumption by office equipment are needed to heighten awareness among end users and to facilitate better design for new office space. The collaboration of manufacturers, customers, and energy suppliers across international boundaries is critical to identify mechanisms to improve energy performance in the commercial office environment The most promising strategies will work best if they are voluntary, market-driven, and are truly the end result of a common vision.

  17. System dynamics, market microstructure and asset pricing

    E-Print Network [OSTI]

    Leika, Mindaugas

    2013-01-01T23:59:59.000Z

    Traditional asset pricing approaches are not able to explain extreme volatility and tail events that characterized financial markets in the past decade. System Dynamics theory, which is still underutilized in financial ...

  18. Assumptions to the Annual Energy Outlook 2014 - Coal Market Module

    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 Module This

  19. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

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

    1997-05-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kolstad, Jonathan; Wolak, Frank

    2003-01-01T23:59:59.000Z

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

  1. 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

  2. Market Maker Inventories and Stock Prices Terrence Hendershott

    E-Print Network [OSTI]

    Kearns, Michael

    in intraday trading and price formation.2 This paper examines the relationship between closing market makerMarket Maker Inventories and Stock Prices Terrence Hendershott U.C. Berkeley Mark S. Seasholes U prices follow naturally from inventory models. Liquidity suppliers and market markers profit from

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

    E-Print Network [OSTI]

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

  4. 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

  5. International black tea market integration and price discovery 

    E-Print Network [OSTI]

    Dharmasena, Kalu Arachchillage Senarath Dhananjaya Bandara

    2004-09-30T23:59:59.000Z

    In this thesis we study three basic issues related to international black tea markets: Are black tea markets integrated? Where is the price of black tea discovered? Are there leaders and followers in black tea markets? We use two statistical...

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

    SciTech Connect (OSTI)

    Not Available

    1994-08-02T23:59:59.000Z

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

  7. 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-

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

    SciTech Connect (OSTI)

    Not Available

    1994-02-07T23:59:59.000Z

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

  9. May market review. [Spot market prices for uranium (1993)

    SciTech Connect (OSTI)

    Not Available

    1993-06-01T23:59:59.000Z

    Seven uranium transactions totalling nearly three million pounds equivalent U3O8 were reported during May, but only two, totalling less than 200 thousand pounds equivalent U3O8, involved concentrates. As no discretionary buying occurred during the month, and as near-term supply and demand were in relative balance, prices were steady, while both buyers and sellers appeared to be awaiting some new market development to signal the direction of future spot-market prices. The May 31, 1993, Exchange Value and the Restricted American market Penalty (RAMP) for concentrates were both unchanged at $7.10, and $2.95 per pound U3O8, respectively. NUEXCO's judgement was that transactions for significant quantities of uranium concentrates that were both deliverable in and intended for consumption in the USA could have been concluded on May 31 at $10.05 per pound U3O8. Two near-term concentrate transactions were reported in which one US utility purchased less than 200 thousand pounds equivalent U3O8 from two separate sellers. These sales occurred at price levels at or near the May 31 Exchange Value plus RAMP. No long-term uranium transactions were reported during May. Consequently, the UF6 Value decreased $0.20 to $24.30 per kgU as UF6, reflecting some weakening of the UF6 market outside the USA.

  10. Carbon pricing, nuclear power and electricity markets

    SciTech Connect (OSTI)

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

    2012-07-01T23:59:59.000Z

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

  11. Annual outlook for US electric power, 1986

    SciTech Connect (OSTI)

    Not Available

    1986-04-24T23:59:59.000Z

    This document includes summary information on the ownership structure of the US electric utility industry, a description of electric utility regulation, and identification of selected factors likely to affect US electricity markets from 1985 through 1995. This Outlook expands upon projections first presented in the Annual Energy Outlook 1985, offering additional discussion of projected US electricity markets and regional detail. It should be recognized that work on the Annual Energy Outlook 1985 had been completed prior to the sharp reductions in world oil prices experienced early in 1986.

  12. Introduction to energy storage with market analysis and outlook

    SciTech Connect (OSTI)

    Schmid, Robert [Institut für Experimentelle Physik, Technische Universität Bergakademie Freiberg, Leipziger Straße 23, 09596 Freiberg (Germany); Pillot, Christophe [AVICENNE Energy, LITWIN Building, 10 rue Jean-Jaurès, La Défense 11, Puteaux Cedex (France)

    2014-06-16T23:59:59.000Z

    At first, the rechargeable battery market in 2012 will be described by technology - lead acid, NiCd, NiMH, lithium ion - and application - portable electronics, power tools, e-bikes, automotive, energy storage. This will be followed by details of the lithium ion battery market value chain from the raw material to the final application. The lithium ion battery market of 2012 will be analyzed and split by applications, form factors and suppliers. There is also a focus on the cathode, anode, electrolyte and separator market included. This report will also give a forecast for the main trends and the market in 2020, 2025. To conclude, a forecast for the rechargeable battery market by application for 2025 will be presented. Since energy storage plays an important role for the growing Electric Vehicle (EV) market, this EV issue is closely considered throughout this analysis.

  13. 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

  14. 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

  15. 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

  16. 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

  17. Does dynamic pricing make sense for mass market customers?

    SciTech Connect (OSTI)

    McDonough, Catherine; Kraus, Robert

    2007-08-15T23:59:59.000Z

    The added incentive to modify electric use under hourly versus monthly market-based pricing is small for most mass market customers in Upstate New York. If the ultimate policy goal of demand-response programs is to reduce peak load, then promoting conservation measures under monthly market-based pricing holds more promise. (author)

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

    SciTech Connect (OSTI)

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

    2005-06-30T23:59:59.000Z

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

  19. 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 ...

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

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

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

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

    E-Print Network [OSTI]

    Dane Schiro

    2015-03-19T23:59:59.000Z

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

  2. Price-elastic demand in deregulated electricity markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2003-05-01T23:59:59.000Z

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

  3. Tracking the Sun VI: An Historical Summary of the Installed Price of Photovoltaics in the United States from 1998 to 2012

    E-Print Network [OSTI]

    Barbose, Galen

    2014-01-01T23:59:59.000Z

    Global Market Outlook for Photovoltaics 2013-2016. Brussels,Building-Integrated Photovoltaics (BIPV) in the ResidentialThe Installed Price of Photovoltaics in the United States

  4. March market review. [Spot market prices for uranium (1993)

    SciTech Connect (OSTI)

    Not Available

    1993-04-01T23:59:59.000Z

    The spot market price for uranium in unrestricted markets weakened further during March, and at month end, the NUEXCO Exchange Value had fallen $0.15, to $7.45 per pound U3O8. The Restricted American Market Penalty (RAMP) for concentrates increased $0.15, to $2.55 per pound U3O8. Ample UF6 supplies and limited demand led to a $0.50 decrease in the UF6 Value, to $25.00 per kgU as UF6, while the RAMP for UF6 increased $0.75, to $5.25 per kgU. Nine near-term uranium transactions were reported, totalling almost 3.3 million pounds equivalent U3O8. This is the largest monthly spot market volume since October 1992, and is double the volume reported in January and February. The March 31 Conversion Value was $4.25 per kgU as UF6. Beginning with the March 31 Value, NUEXCO now reports its Conversion Value in US dollars per kilogram of uranium (US$/kgU), reflecting current industry practice. The March loan market was inactive with no transactions reported. The Loan Rate remained unchanged at 3.0 percent per annum. Low demand and increased competition among sellers led to a one-dollar decrease in the SWU Value, to $65 per SWU, and the RAMP for SWU declined one dollar, to $9 per SWU.

  5. Assumption to the Annual Energy Outlook 2014 - Electricity Market Module

    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.5Are thereDemand Module

  6. 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

  7. April market review. [Spot market prices for uranium (1993)

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

    The spot market price for uranium outside the USA weakened further during April, and at month end, the NUEXCO Exchange Value had fallen $0.35, to $7.10 per pound U3O8. This is the lowest Exchange Value observed in nearly twenty years, comparable to Values recorded during the low price levels of the early 1970s. The Restricted American Market Penalty (RAMP) for concentrates increased $0.40, to $2.95 per pound U3O8. Transactions for significant quantities of uranium concentrates that are both deliverable in and intended for consumption in the USA could have been concluded on April 30 at $10.05 per pound U3O8, up $0.05 from the sum of corresponding March Values. Four near-term concentrates transactions were reported, totalling nearly 1.5 million pounds equivalent U3O8. One long-term sale was reported. The UF6 Value also declined, as increased competition among sellers led to a $0.50 decrease, to $24.50 per kgU as UF6. However, the RAMP for UF6 increased $0.65, to $5.90 per kgU as UF6, reflecting an effective US market level of $30.40 per kgU. Two near term transactions were reported totalling approximately 1.1 million pounds equivalent U3O8. In total, eight uranium transactions totalling 28 million pounds equivalent U3O8 were reported, which is about average for April market activity.

  8. Predicting Equity Market Price Impact with Performance Weighted Ensembles of

    E-Print Network [OSTI]

    Predicting Equity Market Price Impact with Performance Weighted Ensembles of Random Forests Ash.j.mcgroarty@soton.ac.uk Abstract--For many players in financial markets, the price impact of their trading activity represents a large proportion of their transaction costs. This paper proposes a novel machine learning method

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

    E-Print Network [OSTI]

    Cañizares, Claudio A.

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

  10. Price analysis in electronic marketing of Texas feeder cattle

    E-Print Network [OSTI]

    Mahoney, Kathleen Ann

    1981-01-01T23:59:59.000Z

    PRICE ANALYSIS IN ZLECZRCNIC ~ING OF TEXAS FEEOER ~ A Thesis Submitted to the Graduate College of Texas AsN Bu. varsity in Partial fulfillment of the reguirarents for the degree of De~ 1981 Major Subject: Agricultural Economics PRICE... ANALYSIS IN ELECTRONIC MARKETING OF TEXAS FEEDER CATTLE A Thesis by KATHLEEN ANN MAHONEY Approved as to style and content by: Chairman of Co ttee) ead of De rtment (Me r) ( r) December 1981 1. 11 Price Analysis in Electronic Marketing of Texas...

  11. Situation and outlook for foreign and domestic rice trade: recommendations to expand U.S. market share 

    E-Print Network [OSTI]

    Bates, Kathy

    1991-01-01T23:59:59.000Z

    SITUATION AND OUTLOOK FOR FOREIGN AND DOMESTIC RICE TRADE: RECOMMENDATIONS TO EXPAND U. S. MARKET SHARE A Professional Paper by Kathy Bates Submitted to the College of Agriculture and Life Sciences of Texas A&M University in partial... was compiled, I created a 157 page circular which was approved by the World Agricultural Outlook Board and published in October of 1989. This publication contains the latest available supply and distribution estimates for each country in the Foreign...

  12. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

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

  13. An empirical evaluation of trader reputation and market structure on market efficiency and price in commodity markets

    E-Print Network [OSTI]

    Colling, Phil Lewis

    1986-01-01T23:59:59.000Z

    AN EMPIRICAL EVALUATION OF TRADER REPUTATION AND MARKET STRUCTURE ON MARKET EFFICIENCY AND PRICE IN COMMODITY MARKETS A Thesis PHIL LEWIS COLLING Submitted to the Graduate College of Texas ARM University in partial fulfillment... of the requirement for the degree of MASTER OF SCIENCE May 1986 Major Subject: Agricultural Economics AN EMPIRICAL EVALUATION OF TRADER REPUTATION AND MARKET STRUCTURE ON MARKET EFFICIENCY AND PRICE IN COMMODITY MARKETS A Thesis PHIL LEWIS COLLIHG Approved...

  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. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    36 Reference case Energy Information Administration Annual Energy Outlook 2012 6 Table A3. Energy prices by sector and source (2010 dollars per million Btu, unless otherwise...

  16. 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.

  17. Financial market imperfections and their asset pricing implications

    E-Print Network [OSTI]

    Rayanakorn, Surapap

    2012-01-01T23:59:59.000Z

    This thesis consists of two studies on financial market imperfections. The first study (Chapters 2 and 3) investigates illiquidity, which is a reflection of different imperfections, and its pricing implications in the ...

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

    E-Print Network [OSTI]

    Joskow, Paul; Kahn, Edward

    2004-06-16T23:59:59.000Z

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

  19. 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 ,

  20. 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

  1. 2010 Fuel Cell Technologies Market Report, June 2011

    SciTech Connect (OSTI)

    Not Available

    2011-06-01T23:59:59.000Z

    This report summarizes 2010 data on fuel cells, including market penetration and industry trends. It also covers cost, price, and performance trends, along with policy and market drivers and the future outlook for fuel cells.

  2. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Fontana, Michelle

    2011-08-08T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

  5. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01T23:59:59.000Z

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

  6. 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.

  7. 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

  8. Green Pricing Program Marketing Expenditures: Finding the Right Balance

    SciTech Connect (OSTI)

    Friedman, B.; Miller, M.

    2009-09-01T23:59:59.000Z

    In practice, it is difficult to determine the optimal amount to spend on marketing and administering a green pricing program. Budgets for marketing and administration of green pricing programs are a function of several factors: the region of the country; the size of the utility service area; the customer base and media markets encompassed within that service area; the point or stage in the lifespan of the program; and certainly, not least, the utility's commitment to and goals for the program. All of these factors vary significantly among programs. This report presents data on programs that have funded both marketing and program administration. The National Renewable Energy Laboratory (NREL) gathers the data annually from utility green pricing program managers. Programs reporting data to NREL spent a median of 18.8% of program revenues on marketing their programs in 2008 and 16.6% in 2007. The smallest utilities (those with less than 25,000 in their eligible customer base) spent 49% of revenues on marketing, significantly more than the overall median. This report addresses the role of renewable energy credit (REC) marketers and start-up costs--and the role of marketing, generally, in achieving program objectives, including expansion of renewable energy.

  9. PJM's Capacity Market in a Price-Spike World Steven Stoft

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-077 PJM's Capacity Market in a Price-Spike World Steven Stoft May, 2000 This paper is part, California 94720-5180 www.ucei.org #12;PJM's Capacity Market in a Price-Spike World Steven Stoft 1 May 7, 2000 Abstract PJM's market was designed to rely on a capacity market instead of price-spikes to induce

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

    SciTech Connect (OSTI)

    NONE

    1995-08-02T23:59:59.000Z

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

  11. Pricing in the Market for Anticancer Drugs

    E-Print Network [OSTI]

    Howard, David H.

    In 2011, Bristol-Myers Squibb set the price of its newly approved melanoma drug ipilimumab— brand name Yervoy—at $120,000 for a course of therapy. The drug was associated with an incremental increase in life expectancy of ...

  12. Examination of the rationality of real estate market pricing : focusing on the US office property market

    E-Print Network [OSTI]

    Jeong, Jinbae

    2009-01-01T23:59:59.000Z

    This study examines whether or not investors behave rationally when they price the U.S. office properties. After reviewing several previous studies on the market efficiency, this paper makes three new attempts: first, we ...

  13. Price distortions in the commodity futures markets

    E-Print Network [OSTI]

    Helfrich, Devin B

    2012-01-01T23:59:59.000Z

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

  14. Digital asset pricing in the textbook market

    E-Print Network [OSTI]

    Molina, Katherine (Katherine V.)

    2011-01-01T23:59:59.000Z

    The U.S. college textbook market is in the midst of a seismic shift: publishers are creating new products, students are demanding more sophisticated digital content and instructors are just beginning to experiment with ...

  15. Price-Quality Relationships in Farmers' Cotton Markets of Texas.

    E-Print Network [OSTI]

    Paulson, W. E. (William E.); Hembree, Joel F. (Joel Franklin)

    1934-01-01T23:59:59.000Z

    , UNITED STATES DEPARTMENT OF AGRICULTURE Price-Quality Relationships in Farmers' Cotton Markets of Texas AGRICULTURAL AND MECHANICAL COLLEGE OF TEXAS T. 0. WALTON, President STATION STAFFt Administration: A. B. Conner, M. S ., Director R. E. Karper... Boyd, B. S., Asst. Plant Pathologist Farm and Ranch Economics: L. P. Gabbard, M. S., Chief W. E. Paulson, Ph. D., Marketing C. A. Bonnen, M. S., Farm Management t??w. R. Nisbet, B. S., Ranch Management ??A. C. Magee, M. S., Ranch Management Rural...

  16. Price Discovery in the Natural Gas Markets of the United States and Canada

    E-Print Network [OSTI]

    Olsen, Kyle

    2011-02-22T23:59:59.000Z

    .S. Midwest and Northeast, but little to markets in the west. The uncertainty of a marketsprice depends primarily on markets located in nearby regions. Policy makers may use information on market integration for important policy matters in efforts...

  17. 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...

  18. 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.

  19. 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.

  20. Buying in a volatile market: variable or fixed price? Professor of Purchasing Management

    E-Print Network [OSTI]

    Vellekoop, Michel

    , in markets like money, stock or oil markets; sometimes they are rather lengthy, in markets like the steelBuying in a volatile market: variable or fixed price? Jan Telgen Professor of Purchasing Management Many commodities are bought in a volatile market, where the purchasing price changes constantly

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

    E-Print Network [OSTI]

    California at Berkeley. University of

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

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

    E-Print Network [OSTI]

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

  3. Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs

    E-Print Network [OSTI]

    Boyer, Edmond

    Price Dispersion in the Housing Market: The Role of Bargaining and Search Costs Gaetano Lisi bargaining powers and search costs the selling price will be different. Recently, from a theoretical point a basic fact of housing markets: price dispersion. The variance in house prices is basically due to both

  4. An overview of global gold market and gold price forecasting Shahriar Shafiee a,n

    E-Print Network [OSTI]

    Boisvert, Jeff

    into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b classification: E31 O13 Q32 Keywords: Historical gold market Forecasting mineral prices Long-term trend reverting

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

    E-Print Network [OSTI]

    Cañizares, Claudio A.

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  7. Essays on equity prices and market structures

    E-Print Network [OSTI]

    Wu, Juan

    2009-05-15T23:59:59.000Z

    and next-day returns. Chordia, Roll, and Subrahmanyam (2002) show that aggregate order imbalance is positively associated 4 with market returns, and Chordia and Subrahmanyam (2004) obtain comparable results in the cross-section of stocks. 1 While... related literature focuses on the relation between trading volume and returns, see Baker and Stein (2004), Campbell, Grossman, and Wang (1993), Chordia, Roll, and Subrahmanyam (2001), Chordia, Huh, and Subrahmanyam (2004), and Llorente et al. (2002...

  8. 47 Natural Gas Market Trends NATURAL GAS MARKET TRENDS

    E-Print Network [OSTI]

    47 Natural Gas Market Trends Chapter 5 NATURAL GAS MARKET TRENDS INTRODUCTION Natural gas discusses current natural gas market conditions in California and the rest of North America, followed on the outlook for demand, supply, and price of natural gas for the forecasted 20-year horizon. It also addresses

  9. Economic Impacts of Changes in United States Rice Price Variability on Market Efficiency, Marketing Margin and Producer Viability.

    E-Print Network [OSTI]

    Grant, W.R.; Richardson, J.W.; Brorsen, B.W.; Rister, M.E

    1984-01-01T23:59:59.000Z

    Limitations and Conclusions . .................... 12 Appendix ..................................... 14 References ................................... 16 Acknowledgments . ............................ . 16 SUMMARY This study investigates the impacts.... It investigates the short-run interactions among rice prices by analyzing dynamic adjustments in the markets under two policy situations-in 1960-71 for high price sup ports, and 1974-81 for low price supports. The margin between farm and mill prices...

  10. On the relationship between world oil prices and GCC stock markets

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    On the relationship between world oil prices and GCC stock markets Mohamed El Hedi Arouri Associate ABSTRACT We provide comprehensive evidence on the relationship between oil prices and stock mar- kets,version1-7Mar2013 #12;2 1. Introduction The causal relationship between oil prices and stock markets has

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

    E-Print Network [OSTI]

    Carmona, Rene

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

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

    E-Print Network [OSTI]

    Obradovic, Zoran

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

  13. OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING COUNTRIES

    E-Print Network [OSTI]

    Boyer, Edmond

    relationship between oil and stock markets, which parallels the one between high oil prices and macroeconomicOIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING://www.economie.polytechnique.edu/ mailto:chantal.poujouly@polytechnique.edu hal-00822070,version1-14May2013 #12;1 Oil price impact

  14. 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

  15. 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

  16. 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 ...

  17. Participatory Sensing in Commerce: Using Mobile Camera Phones to Track Market Price Dispersion

    E-Print Network [OSTI]

    Bulusu, Nirupama

    their choices. Nevertheless, a major cause is the consumer search cost incurred in collecting pricingParticipatory Sensing in Commerce: Using Mobile Camera Phones to Track Market Price Dispersion In economics, price dispersion refers to the price difference of a homogeneous good across different vendors

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

    E-Print Network [OSTI]

    Bhatia, Sangeeta

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

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

    E-Print Network [OSTI]

    Feigon, Brooke

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

  20. How low-skilled immigration is changing US prices and labor markets : three essays

    E-Print Network [OSTI]

    Cortes, Patricia, Ph. D. Massachusetts Institute of Technology

    2006-01-01T23:59:59.000Z

    This dissertation consists of three essays on the effects of low-skilled immigration on US prices and labor markets. The first essay uses confidential data from the Consumer Price Index to estimate the causal effect of ...

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

    E-Print Network [OSTI]

    Fazzio, Thomas J. (Thomas Joseph)

    2010-01-01T23:59:59.000Z

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

  2. 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.

  3. 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.

  4. International energy outlook 1997 with projections to 2015

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

    The International Energy Outlook 1997 (IE097) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2015.

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

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

  6. Missouri Agriculture Outlook Conference

    E-Print Network [OSTI]

    Noble, James S.

    Missouri Agriculture Outlook Conference Conference Information This conference will discuss the drivers of Missouri agricultural and bio-fuel markets and the implications for Missouri farmsDr.JonHagler, DirectoroftheMissouriDepartment ofAgriculture. · Outlookpresentationsderivedfrom thelatestbaselineresultsof

  7. Relationship Between Wind Generation and Balancing Energy Market Prices in ERCOT: 2007-2009

    SciTech Connect (OSTI)

    Nicholson, E.; Rogers, J.; Porter, K.

    2010-11-01T23:59:59.000Z

    This paper attempts to measure the average marginal effects of wind generation on the balancing-energy market price in ERCOT with the help of econometric analysis.

  8. Japan's Solar Photovoltaic (PV) Market: An Analysis of Residential System Prices (Presentation)

    SciTech Connect (OSTI)

    James, T.

    2014-03-01T23:59:59.000Z

    This presentation summarizes market and policy factors influencing residential solar photovoltaic system prices in Japan, and compares these factors to related developments in the United States.

  9. Modeling Energy Market Volatility Using REMI October 2010

    E-Print Network [OSTI]

    Johnson, Eric E.

    ;Disclaimer #12;Some Background on Energy Market Volatility (EMV) · EMV is defined here to include price techniques #12;Some Specifics · Energy Prices in real (and nominal) terms are highly variable ­ Including oil Sources: WTI prices from EIA, Short Term Energy Outlook, Table 2 and GDP deflator from Bureau of Economic

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

    SciTech Connect (OSTI)

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

    2005-02-09T23:59:59.000Z

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

  11. 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

  12. A Probability Theory Based Price Determination Framework for Utility Companies in an Oligopolistic Energy Market

    E-Print Network [OSTI]

    Pedram, Massoud

    non-cooperative utility companies that offer time-of-use dependent energy prices to energy consumers to determine the energy price for utility companies in an oligopolistic energy market. At the beginning of each to minimize the expected energy cost. The energy pricing competition among utility companies forms an n

  13. 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

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

    E-Print Network [OSTI]

    Gerkmann, Ralf

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

  15. Evaluating Post-Harvest Marketing Strategies for Grain Sorghum in the Texas Coastal Bend. 

    E-Print Network [OSTI]

    Rister, M. Edward; Skees, Jerry R.; Black, J. Roy

    1984-01-01T23:59:59.000Z

    The Usefulness of Outlook Information ......... 6 Economic Value of Information ...... ...... .... 8 Conclusions .................................... 8 Notes ......................................... 8 References ..................................... 9... to alternative post-harvest marketing strategies for grain crops. Sto chastic dominance techniques are used to assess the impact of producers' risk preferences on "optimal" strategies and to assess the usefulness of price outlook information to producers...

  16. On the shortterm influence of oil price changes on stock markets in GCC countries: linear and nonlinear analyses

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world relatively little work done on the relationships between oil price variations and stock markets) shows a significant relationship between oil price changes and stock markets in Greece. Basher

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

    E-Print Network [OSTI]

    Martin, Alexander; Pokutta, Sebastian

    2012-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Not Available

    1992-08-01T23:59:59.000Z

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

  19. Supplement to the Annual Energy Outlook 1993

    SciTech Connect (OSTI)

    Not Available

    1993-02-17T23:59:59.000Z

    The Supplement to the Annual Energy Outlook 1993 is a companion document to the Energy Information Administration`s (EIA) Annual Energy Outlook 1993 (AEO). Supplement tables provide the regional projections underlying the national data and projections in the AEO. The domestic coal, electric power, commercial nuclear power, end-use consumption, and end-use price tables present AEO forecasts at the 10 Federal Region level. World coal tables provide data and projections on international flows of steam coal and metallurgical coal, and the oil and gas tables provide the AEO oil and gas supply forecasts by Oil and Gas Supply Regions and by source of supply. All tables refer to cases presented in the AEO, which provides a range of projections for energy markets through 2010.

  20. 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

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

    E-Print Network [OSTI]

    Dane Schiro

    2015-05-01T23:59:59.000Z

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

  2. Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America 

    E-Print Network [OSTI]

    Park, Haesun

    2005-11-01T23:59:59.000Z

    Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity...

  3. Empirical Analysis of the Spot Market Implications of Price-Responsive Demand

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    and Demand Response in Electricity Markets,” CSEM Working Paper CSEM-WP-105, University of California Energy Institute, Berkeley, CA, USA.USA. Siddiqui, AS (2004), “Price-Elastic Demand in Deregulated Electricity

  4. Three Essays on Price Dynamics and Causations among Energy Markets and Macroeconomic Information

    E-Print Network [OSTI]

    Hong, Sung Wook 1977-

    2012-09-20T23:59:59.000Z

    This dissertation examines three important issues in energy markets: price dynamics, information flow, and structural change. We discuss each issue in detail, building empirical time series models, analyzing the results, and interpreting...

  5. Essays on price dynamics, discovery, and dynamic threshold effects among energy spot markets in North America

    E-Print Network [OSTI]

    Park, Haesun

    2005-11-01T23:59:59.000Z

    Given the role electricity and natural gas sectors play in the North American economy, an understanding of how markets for these commodities interact is important. This dissertation independently characterizes the price dynamics of major electricity...

  6. A quantitative model of trading and price formation in financial markets Marcus G. Daniels,1

    E-Print Network [OSTI]

    A quantitative model of trading and price formation in financial markets Marcus G. Daniels,1 J is the standard measure of financial risk, and the spread and price impact functions, which are the main determinants of transaction cost. Guided by dimensional analysis, simulation, and mean field theory, we find

  7. Reforming Household Energy Markets: Some Welfare Effects in the United Catherine Waddams Price

    E-Print Network [OSTI]

    Feigon, Brooke

    final energy prices (though those of monopoly inputs such as transmission and distribution remainReforming Household Energy Markets: Some Welfare Effects in the United Kingdom by Catherine Waddams Price Centre for Competition and Regulation and School of Management University of East Anglia, UK

  8. GLOBAL BIOFUELS OUTLOOK MAELLE SOARES PINTO

    E-Print Network [OSTI]

    GLOBAL BIOFUELS OUTLOOK 2010-2020 MAELLE SOARES PINTO DIRECTOR BIOFUELS EUROPE & AFRICA WORLD BIOFUELS MARKETS, ROTTERDAM MARCH 23, 2011 #12;Presentation Overview · Global Outlook ­ Biofuels Mandates in 2010 ­ Total Biofuels Supply and Demand ­ Regional Supply and Demand Outlook to 2020 ­ Biofuels

  9. Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over the Last Decade

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    the dynamic relationship between oil price variations and stock markets. The pioneering paper by Jones model with GARCH effects to American monthly data and shows a significant relationship between oil priceOil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over

  10. Deconstructing Solar Photovoltaic Pricing: The Role of Market Structure, Technology and Policy

    Broader source: Energy.gov [DOE]

    Solar photovoltaic (PV) system prices in the United States are considerably different both across geographic locations and within a given location. Variances in price may arise due to state and federal policies, differences in market structure, and other factors that influence demand and costs. This paper examines the relative importance of such factors on the stability of solar PV system prices in the United States using a detailed dataset of roughly 100,000 recent residential and small commercial installations. The paper finds that PV system prices differ based on characteristics of the systems. More interestingly, evidence suggests that search costs and imperfect competition affect solar PV pricing. Installer density substantially lowers prices, while regions with relatively generous financial incentives for solar PV are associated with higher prices.

  11. EIA - Annual Energy Outlook 2014 Early Release

    Gasoline and Diesel Fuel Update (EIA)

    gain perspective on how variations in key assumptions can lead to different outlooks for energy markets. To provide a basis against which alternative cases and policies can be...

  12. Annual Energy Outlook 2015 - Energy Information Administration

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

    gain perspective on how variations in key assumptions can lead to different outlooks for energy markets. In addition to the alternative cases prepared for AEO2015, EIA has...

  13. Credit Market Distortions, Asset Prices and Monetary Policy

    E-Print Network [OSTI]

    Pfajfar, D; Santoro, E

    . In their sticky price framework a shock to asset prices increases aggregate demand, hence driving up the price level. Bernanke and Gertler (1999, 2001) conclude that there is no need for a direct response to asset prices, as a central bank that responds to general... are ours. yFaculty of Economics, Austin Robinson Building, Sidgwick Avenue, Cambridge CB3 9DD, UK. E-mail : dp316@cam.ac.uk. Web: http://www.econ.cam.ac.uk/phd/dp316/. zFaculty of Economics, Austin Robinson Building, Sidgwick Avenue, Cambridge CB3 9DD, UK...

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

    E-Print Network [OSTI]

    Fu, Yong

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

  15. 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.

  16. 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

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

    E-Print Network [OSTI]

    de Weerdt, Mathijs

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

  18. 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...

  19. Fuels outlook for oil/propane

    SciTech Connect (OSTI)

    Weigand, P.

    1995-09-01T23:59:59.000Z

    The outlook for using oil and propane as fuels is outlined. The following topics are discussed: factors affecting price of the burner tip, supply and demand forecast, distribution costs and availability, alternate fuels economics, propane prices, No. 2 oil prices, natural gas vs. 1% residual HP prices, and future for industrial oil and propane consumers.

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

    SciTech Connect (OSTI)

    Not Available

    1993-02-03T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    NONE

    1993-08-04T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    NONE

    1995-05-02T23:59:59.000Z

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

  3. Want to Put an End to Capacity Markets? Think Real-Time Pricing

    SciTech Connect (OSTI)

    Reeder, Mark

    2006-07-15T23:59:59.000Z

    The amount of generation capacity that must be installed to meet resource adequacy requirements often causes the energy market to be suppressed to the point that it fails to produce sufficient revenues to attract new entry. A significant expansion in the use of real-time pricing can, over time, cause the energy market to become a more bountiful source of revenues for generators, allowing the elimination of the capacity market. (author)

  4. Missouri Agriculture Outlook Conference

    E-Print Network [OSTI]

    Noble, James S.

    Missouri Agriculture Outlook Conference Conference Information Join us to discuss the drivers of Missouri agricultural and bio-fuels markets and participate in a special review of international policy implications for Missouri agriculture. Registration Deadline To guarantee space availability, please register

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

    SciTech Connect (OSTI)

    Bolinger, Mark A.; Wiser, Ryan H.

    2010-01-04T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Afanador Delgado, Catalina

    2006-10-30T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Afanador Delgado, Catalina

    2006-10-30T23:59:59.000Z

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

  8. Essays on oil price shocks and financial markets 

    E-Print Network [OSTI]

    Wang, Jiayue

    2012-06-26T23:59:59.000Z

    This thesis is composed of three chapters, which can be read independently. The first chapter investigates how oil price volatility affects the investment decisions for a panel of Japanese firms. The model is estimated ...

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

    E-Print Network [OSTI]

    Cañizares, Claudio A.

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

  10. 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.

  11. International energy outlook 2006

    SciTech Connect (OSTI)

    NONE

    2006-06-15T23:59:59.000Z

    This report presents international energy projections through 2030, prepared by the Energy Information Administration. After a chapter entitled 'Highlights', the report begins with a review of world energy and economic outlook, followed by energy consumption by end-use sector. The next chapter is on world oil markets. Natural gas, world coal market and electricity consumption and supply are then discussed. The final chapter covers energy-related carbon dioxide emissions.

  12. International energy outlook 2005

    SciTech Connect (OSTI)

    NONE

    2005-07-01T23:59:59.000Z

    This report presents international energy projections through 2025, prepared by the Energy Information Administration. The outlooks for major energy fuels are discussed, along with electricity, transportation, and environmental issues. After a chapter entitled 'Highlights', the report begins with a review of world energy and an economic outlook. The IEO2005 projections cover a 24 year period. The next chapter is on world oil markets. Natural gas and coal reserves and resources, consumption and trade discussed. The chapter on electricity deals with primary fuel use for electricity generation, and regional developments. The final section is entitled 'Energy-related greenhouse gas emissions'.

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

    SciTech Connect (OSTI)

    Not Available

    1994-04-07T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Chou, Chien-Ju

    1993-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock on the relationships between oil price variations and stock markets, as underlined by Basher and Sadorsky (2006. For instance, using a VAR model, Papapetrou (2001) shows a significant relationship between oil price changes

  16. Annual energy outlook 2005 with projections to 2025

    SciTech Connect (OSTI)

    NONE

    2005-02-01T23:59:59.000Z

    The Annual Energy Outlook 2005 (AEO2005) presents midterm forecasts of energy supply, demand, and prices through 2025 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA's National Energy Modelling System (NEMS). The report begins with an 'Overview' summarizing the AEO2005 reference case. The next section, 'Legislation and Regulations', discusses evolving legislative and regulatory issues in the USA. Issues in Focus includes discussions on key energy market issues and examines their potential impacts. In particular, it includes a discussion of the world oil price assumptions used in the reference case and four alternative world oil price cases examined in AEO2005. 'Issues in Focus' is followed by 'Market Trends', which provides a summary of energy market trends in the AEO2005 forecast. The analysis in AEO2005 focuses primarily on a reference case, lower and higher economic growth cases, and four alternative oil price cases, a low world oil price case, an October oil futures case, and two high world oil price cases. Forecast tables for those cases are provided in Appendixes A through D. The major results for the alterative cases, which explore the impacts of varying key assumption in NEMS (such as rates of technology penetration), are summarized in Appendix E. Appendix F briefly describes NEMS and the alternative cases. 115 figs., 38 tabs., 8 apps.

  17. Lead -- supply/demand outlook

    SciTech Connect (OSTI)

    Schnull, T. [Noranda, Inc., Toronto, Ontario (Canada)

    1999-03-01T23:59:59.000Z

    As Japan goes--so goes the world. That was the title of a recent lead article in The Economist that soberly discussed the potential of much more severe global economic problems occurring, if rapid and coordinated efforts were not made to stabilize the economic situation in Asia in general, and in Japan in particular. During the first 6 months of last year, commodity markets reacted violently to the spreading economic problems in Asia. More recent currency and financial problems in Russia have exacerbated an already unpleasant situation. One commodity after another--including oil, many of the agricultural commodities, and each of the base metals--have dropped sharply in price. Many are now trading at multiyear lows. Until there is an overall improvement in the outlook for these regions, sentiment will likely continue to be negative, and metals prices will remain under pressure. That being said, lead has maintained its value better than many other commodities during these difficult times, finding support in relatively strong fundamentals. The author takes a closer look at those supply and demand fundamentals, beginning with consumption.

  18. The evolving price of household LED lamps: Recent trends and historical comparisons for the US market

    SciTech Connect (OSTI)

    Gerke, Brian F.; Ngo, Allison T.; Alstone, Andrea L.; Fisseha, Kibret S.

    2014-10-14T23:59:59.000Z

    In recent years, household LED light bulbs (LED A lamps) have undergone a dramatic price decline. Since late 2011, we have been collecting data, on a weekly basis, for retail offerings of LED A lamps on the Internet. The resulting data set allows us to track the recent price decline in detail. LED A lamp prices declined roughly exponentially with time in 2011-2014, with decline rates of 28percent to 44percent per year depending on lumen output, and with higher-lumen lamps exhibiting more rapid price declines. By combining the Internet price data with publicly available lamp shipments indices for the US market, it is also possible to correlate LED A lamp prices against cumulative production, yielding an experience curve for LED A lamps. In 2012-2013, LED A lamp prices declined by 20-25percent for each doubling in cumulative shipments. Similar analysis of historical data for other lighting technologies reveals that LED prices have fallen significantly more rapidly with cumulative production than did their technological predecessors, which exhibited a historical decline of 14-15percent per doubling of production.

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

    SciTech Connect (OSTI)

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

    2005-08-25T23:59:59.000Z

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

  20. Reviewing progress in PJM's capacity market structure via the new reliability pricing model

    SciTech Connect (OSTI)

    Sener, Adil Caner; Kimball, Stefan

    2007-12-15T23:59:59.000Z

    The Reliability Pricing Model introduces significant changes to the capacity market structure of PJM. The main feature of the RPM design is a downward-sloping demand curve, which replaces the highly volatile vertical demand curve. The authors review the latest RPM structure, results of the auctions, and the future course of the implementation process. (author)

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

    market design and monitoring. Mr. Rogas received his B.S. in Mechanical Engineering and J.D. from the University of Texas at Austin. Shmuel Oren is Professor of Industrial Engineering and Operations Research the past seven years he has served as the Berkeley site director of Pserc, the multi-university Power

  2. Utility Marketing Strategies and Pricing Trends (An Overview)

    E-Print Network [OSTI]

    Reynolds, S.

    utility's costs and provide a sound fiscal footing for the utility, and yet still be attractive to industry and encourage the economic development of the region. However, lower rates are simply not the only answer in a sound marketing strategy. Rather than...

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

    E-Print Network [OSTI]

    Hernandez Garcia, Manuel A.

    2010-10-12T23:59:59.000Z

    with a unit mass. Further assume that the reservation utility v is su?ciently high so that the whole market is covered.9 Firmi?s, i = 1;2, decisionproblemconsistsofofieringquality-pricepairs(qiL;piL) and (qiH;piH) that maximize proflts subject...

  4. 2013 Propane Market Outlook

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of ScienceandMesa del(ANL-IN-03-032) -Less isNFebruary 2004AugustApril 20133 Audit2013 NUFOPlasma Propane

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

    SciTech Connect (OSTI)

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

    2005-08-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Not Available

    1993-11-05T23:59:59.000Z

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

  7. Situation and outlook for foreign and domestic rice trade: recommendations to expand U.S. market share

    E-Print Network [OSTI]

    Bates, Kathy

    1991-01-01T23:59:59.000Z

    Is Right", ic 'ew 7 8 Tough, Clndy, " World Grain Situation and Outlook", Circular Series, USDA, FAS, Supplement 449 October 1989. United States Department of Agriculture, , Economic Research Service, "Government Programs for Rice", 'o od Review Jan... and is cholesterol free. Less re6ned grades of oil are used as leather conditioners. TABLES 36 IA retina Area Irold Sogianing Rough Nailed Total 202AL Total Endrng ar Earvestod Stocks Production Production Inports Exports Douostic Stocks Consuupt1on Jan...

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

    E-Print Network [OSTI]

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

  9. Assessing the Degree of Spot Market Integration For U.S. Natural Gas: Evidence from Daily Price Data

    E-Print Network [OSTI]

    to decouple the production and trading of the commodity natural gas from its transportation. Advocates arguedAssessing the Degree of Spot Market Integration For U.S. Natural Gas: Evidence from Daily Price Economics Abstract: This paper assesses the degree of market integration in the U.S. natural gas market

  10. Price Discovery in the Natural Gas Markets of the United States and Canada 

    E-Print Network [OSTI]

    Olsen, Kyle

    2011-02-22T23:59:59.000Z

    if the markets are achieving the goal of the ?law of one price.? Further, this data is daily data ranging over 15 years, whereas, other similar studies? data ranged only three to seven years with some using monthly data. 3 To achieve this study?s... of stored natural gas. Weather variations have an obvious effect on natural gas prices. According to U.S. Department of Energy (U.S. Department of Energy (U.S.DOE), 2003), natural gas demand during winter months is more than 1.5 times daily winter...

  11. Energy & Financial Markets: What Drives Crude Oil Prices? - Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets 8,EnvironmentAnnual‹Emerging

  12. Energy and Financial Markets Overview: Crude Oil Price Formation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 15 1

  13. Energy and Financial Markets Overview: Crude Oil Price Formation

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400, U.S.MajorMarkets EnergyConsumption5 15 1Richard Newell,

  14. The impact of market structure on price determination : a simulation approach using multi-agent reinforcement learning in continuous state and action space

    E-Print Network [OSTI]

    Shu, Buliao

    2014-01-01T23:59:59.000Z

    This thesis proposes a simulation tool to study the question of how market structure and market players' behavior affect price movements. The adaptive market simulation system consists of multiple agents and a centralized ...

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

    SciTech Connect (OSTI)

    Not Available

    1994-05-01T23:59:59.000Z

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

  16. Coming Soon! 2011 Wind Technologies Market Report (Postcard)

    SciTech Connect (OSTI)

    Not Available

    2012-06-01T23:59:59.000Z

    This valuable report will be available this summer! Prepared by the Energy Department's Lawrence Berkeley National Laboratory, the report is a must read, providing a comprehensive overview of United States wind industry: Installation Trends, Industry Trends, Price, Cost, and Performance Trends, Policy and Market Drivers, Future Outlook.

  17. International market integration for natural gas? : a cointegration analysis of priced in Europe, North America and Japan

    E-Print Network [OSTI]

    L'Hegaret, Guillaume

    2004-01-01T23:59:59.000Z

    We examine the degree of natural gas market integration in Europe, North America and Japan, between the mid 1990?s and 2002. Our hypothesis is that there was a certain split of prices between Europe and North America. The ...

  18. 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...

  19. U.S. Energy Information Administration | Annual Energy Outlook...

    Gasoline and Diesel Fuel Update (EIA)

    Energy Information Administration | Annual Energy Outlook 2011 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information Administration, Office...

  20. U.S. Energy Information Administration | Annual Energy Outlook...

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

    Energy Information Administration | Annual Energy Outlook 2013 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information Administration, Office...

  1. Nonlinear Pricing in Markets with Interdependent Demand Author(s): Shmuel S. Oren, Stephen A. Smith and Robert B. Wilson

    E-Print Network [OSTI]

    Oren, Shmuel S.

    Nonlinear Pricing in Markets with Interdependent Demand Author(s): Shmuel S. Oren, Stephen A. Smith S. OREN, t STEPHEN A. SMITH, t AND ROBERT B. WILSON? This paper provides a mathematical framework Sciences #12;S. S. OREN, S. A. SMITH AND R. B. WILSON demand externalities. Nonlinear pricing, defined

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

    E-Print Network [OSTI]

    Powell, Warren B.

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

  3. International energy outlook 1994

    SciTech Connect (OSTI)

    Not Available

    1994-07-01T23:59:59.000Z

    The International Energy Outlook 1994 (IEO94) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets between 1990 and 2010. The report is provided as a statistical service to assist energy managers and analysts, both in government and in the private sector. These forecasts are used by international agencies, Federal and State governments, trade associations, and other planners and decisionmakers. They are published pursuant to the Depart. of Energy Organization Act of 1977 (Public Law 95-91), Section 205(c). The IEO94 projections are based on US and foreign government policies in effect on October 1, 1993-which means that provisions of the Climate Change Action Plan unveiled by the Administration in mid-October are not reflected by the US projections.

  4. The solar electric power outlook

    SciTech Connect (OSTI)

    Kemp, J.W.

    1995-12-31T23:59:59.000Z

    The outlook for solar electric power plants is discussed. The following topics are discussed: Amoco/Envon solar vision, multi-megawatt solar power projects, global carbon dioxide emission estimates, pollution and electric power generation, social costs of pollution economies of scale, thin-film power module, rooftop market strategy, regulatory issues regarding rooftop systems, and where do we go from here?

  5. 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

  6. The structure of international beef markets and effects of imports on United States beef prices

    E-Print Network [OSTI]

    Graeber, Kenneth Earl

    1972-01-01T23:59:59.000Z

    and Effects of Deports on United States Beef prices. (May 1972) Kenneth Earl Graeber, B. S. , Texas A&M University Directed by: Dr. Donald E. Farris This study was designed to examine the structure of international beef markets and analyze the effects... 30 perrsnt change would result in a dinge in the opposite direction of 81. 28 per hundred- weight. I am especially indebted to Dr. Donald E. Farris, chairman of my advisory mmnittee, for his counseling and guidance during my graduate program...

  7. 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.

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

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

  9. 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),

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

    E-Print Network [OSTI]

    2005-01-01T23:59:59.000Z

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

  11. 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

  12. Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market

    E-Print Network [OSTI]

    Lewis, Matt

    2003-01-01T23:59:59.000Z

    The Behavior of Retail Gasoline Prices: Symmetric or Not? ”Adjustment of U.K. Retail Gasoline Prices to Cost Changes. ”documented that retail gasoline prices respond more quickly

  13. Asymmetric Price Adjustment and Consumer Search: An Examination of the Retail Gasoline Market

    E-Print Network [OSTI]

    Lewis, Matt

    2004-01-01T23:59:59.000Z

    George. (2004) “Retail Gasoline Price Dynamics and Localof Information and Retail Gasoline Price Behavior: Andocumented that retail gasoline prices respond more quickly

  14. U.S. Residential Photovoltaic (PV) System Prices, Q4 2013 Benchmarks: Cash Purchase, Fair Market Value, and Prepaid Lease Transaction Prices

    SciTech Connect (OSTI)

    Davidson, C.; James, T. L.; Margolis, R.; Fu, R.; Feldman, D.

    2014-10-01T23:59:59.000Z

    The price of photovoltaic (PV) systems in the United States (i.e., the cost to the system owner) has dropped precipitously in recent years, led by substantial reductions in global PV module prices. This report provides a Q4 2013 update for residential PV systems, based on an objective methodology that closely approximates the book value of a PV system. Several cases are benchmarked to represent common variation in business models, labor rates, and module choice. We estimate a weighted-average cash purchase price of $3.29/W for modeled standard-efficiency, polycrystalline-silicon residential PV systems installed in the United States. This is a 46% decline from the 2013-dollar-adjusted price reported in the Q4 2010 benchmark report. In addition, this report frames the cash purchase price in the context of key price metrics relevant to the continually evolving landscape of third-party-owned PV systems by benchmarking the minimum sustainable lease price and the fair market value of residential PV systems.

  15. The importance of vehicle costs, fuel prices, and fuel efficiency to HEV market success.

    SciTech Connect (OSTI)

    Santini, D. J.; Patterson, P. D.; Vyas, A. D.

    1999-12-08T23:59:59.000Z

    Toyota's introduction of a hybrid electric vehicle (HEV) named ''Prius'' in Japan and Honda's proposed introduction of an HEV in the United States have generated considerable interest in the long-term viability of such fuel-efficient vehicles. A performance and cost projection model developed entirely at Argonne National Laboratory (ANL) is used here to estimate costs. ANL staff developed fuel economy estimates by extending conventional vehicle (CV) modeling done primarily under the National Cooperative Highway Research Program. Together, these estimates are employed to analyze dollar costs vs. benefits of two of many possible HEV technologies. We project incremental costs and fuel savings for a Prius-type low-performance hybrid (14.3 seconds zero to 60 mph acceleration, 260 time) and a higher-performance ''mild'' hybrid vehicle, or MHV (11 seconds 260 time). Each HEV is compared to a U.S. Toyota Corolla with automatic transmission (11 seconds 260 time). The base incremental retail price range, projected a decade hence, is $3,200-$3,750, before considering battery replacement cost. Historical data are analyzed to evaluate the effect of fuel price on consumer preferences for vehicle fuel economy, performance, and size. The relationship between fuel price, the level of change in fuel price, and consumer attitude toward higher fuel efficiency is also evaluated. A recent survey on the value of higher fuel efficiency is presented and U.S. commercial viability of the hybrids is evaluated using discount rates of 2090 and 870. Our analysis, with our current HEV cost estimates and current fuel savings estimates, implies that the U.S. market for such HEVS would be quite limited.

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

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

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

  17. Annual energy outlook 1999, with projections to 2020

    SciTech Connect (OSTI)

    NONE

    1998-12-01T23:59:59.000Z

    The Annual Energy Outlook 1999 (AEO99) presents midterm forecasts of energy supply, demand, and prices through 2020 prepared by the Energy Information Administration (EIA). The projections are based on results from EIA`s National Energy Modeling System (NEMS). The report begins with an Overview summarizing the AEO99 reference case. The next section, Legislation and Regulations, describes the assumptions made with regard to laws that affect energy markets and discusses evolving legislative and regulatory issues. Issues in Focus discusses current energy issues--the economic decline in East Asia, growth in demand for natural gas, vehicle emissions standards, competitive electricity pricing, renewable portfolio standards, and carbon emissions. It is followed by the analysis of energy market trends. The analysis in AEO99 focuses primarily on a reference case and four other cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. Forecast tables for these cases are provided in Appendixes A through C. Appendixes D and E present a summary of the reference case forecasts in units of oil equivalence and household energy expenditures. The AEO99 projections are based on Federal, State, and local laws and regulations in effect on July 1, 1998. Pending legislation and sections of existing legislation for which funds have not been appropriated are not reflected in the forecasts. Historical data used for the AEOI99 projections were the most current available as of July 31, 1998, when most 1997 data but only partial 1998 data were available.

  18. Annual energy outlook 2006 with projections to 2030

    SciTech Connect (OSTI)

    NONE

    2006-02-15T23:59:59.000Z

    The Annual Energy Outlook 2006 (AEO2006), prepared by the Energy Information Administration (EIA), presents long-term forecasts of energy supply, demand, and prices through 2030. The projections are based on results from EIA's National Energy Modeling System (NEMS). The report begins with an 'Overview' summarizing the AEO2006 reference case and comparing it with the AEO2005 reference case. The next section, 'Legislation and Regulations', discusses evolving legislation and regulatory issues, including recently enacted legislation and regulation, such as the Energy Policy Act of 2005, and some that are proposed. 'Issues in Focus' includes a discussion of the basis of EIA's substantial revision of the world oil price trend used in the projections. Other topics examined include: energy technologies on the cusp of being introduced; mercury emissions control technologies; and U.S. greenhouse gas intensity. 'Issues in Focus' is followed by 'Energy Market Trends', which provides a summary of the AEO2006 projections for energy markets. The analysis in AEO2006 focuses primarily on a reference case, lower and higher economic growth cases, and lower and higher energy price cases. In addition, more than 30 alternative cases are included in AEO2006. Complete tables for the five primary cases are provided in Appendixes A through C. Major results from many of the alternative cases are provided in Appendix D. Appendix E briefly describes NEMS and the alternatives cases. 112 figs., 25 tabs., 7 apps.

  19. 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 ...

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

    of two methods to forecast natural gas prices: using theof two methods to forecast natural gas prices is performed:accurate average forecast of natural gas prices than the

  1. 2010 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2011-06-01T23:59:59.000Z

    This report describes the status of the U.S. wind energy industry market in 2010; its trends, performance, market drivers and future outlook.

  2. 2012 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.; Barbose, G.; Darghouth, N.; Hoen, B.; Mills, A.; Weaver, S.; Porter, K.; Buckley, M.; Fink, S.; Oteri, F.; Tegen, S.

    2013-08-01T23:59:59.000Z

    This report describes the status of the U.S. wind energy industry market in 2012; its trends, performance, market drivers and future outlook.

  3. 2011 Wind Technologies Market Report

    SciTech Connect (OSTI)

    Wiser, R.; Bolinger, M.

    2012-08-01T23:59:59.000Z

    This report describes the status of the U.S. wind energy industry market in 2011; its trends, performance, market drivers and future outlook.

  4. International energy outlook 1998

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

    The International Energy Outlook 1998 (IEO98) presents an assessment by the Energy Information Administration (EIA) of the outlook for international energy markets through 2020. Projections in IEO98 are displaced according to six basic country groupings. The industrialized region includes projections for four individual countries -- the United States, Canada, Mexico, and Japan -- along with the subgroups Western Europe and Australasia (defined as Australia, New Zealand, and the US Territories). The developing countries are represented by four separate regional subgroups: developing Asia, Africa, Middle East, and Central and South America. China and India are represented in developing Asia. New to this year`s report, country-level projections are provided for Brazil -- which is represented in Central and South America. Eastern Europe and the former Soviet Union (EE/FSU) are considered as a separate country grouping. The report begins with a review of world trends in energy demand. Regional consumption projections for oil, natural gas, coal, nuclear power, and renewable energy (hydroelectricity, geothermal, wind, solar, and other renewables) are presented in five fuel chapters, with a review of the current status of each fuel on a worldwide basis. Summary tables of the IEO98 projections for world energy consumption, carbon emissions, oil production, and nuclear power generating capacity are provided in Appendix A. 88 figs., 77 tabs.

  5. 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

  6. Prices

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

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

  7. Prices

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

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

  8. Prices

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

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

  9. Prices

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

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

  10. Short-term energy outlook, January 1999

    SciTech Connect (OSTI)

    NONE

    1999-01-01T23:59:59.000Z

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

  11. Introduction slide 2 Biofuels and Algae Markets, Systems,

    E-Print Network [OSTI]

    Introduction slide 2 Biofuels and Algae Markets, Systems, Players and Commercialization Outlook http://www.emerging-markets.com Consultant, Global Biofuels Business Development Author, Biodiesel 2020: A Global Market Survey (2008) Algae 2020: Biofuels Commercialization Outlook (2009) Columnist, Biofuels

  12. Key Milestones/Outlook

    Broader source: Energy.gov [DOE]

    Key Milestones/Outlook per the Department of Energy 2015 Congressional Budget Request, Environmental Management, March 2014

  13. WEST VIRGINIA ECONOMIC OUTLOOK

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    WEST VIRGINIA ECONOMIC OUTLOOK 2009 BUREAU OF BUSINESS AND ECONOMIC RESEARCH College of Business and Economics West Virginia University #12;West Virginia Economic Outlook 2009 George W. Hammond, Associate Director, BBER, and Associate Professor of Economics West Virginia Economic Outlook 2009 is published

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

    E-Print Network [OSTI]

    Chavez, Marissa Joyce

    2009-06-02T23:59:59.000Z

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

  15. Price discrimination and limits to arbitrage: An analysis of global LNG markets

    E-Print Network [OSTI]

    Ritz, Robert A.

    2014-07-31T23:59:59.000Z

    Gas prices around the world vary widely despite being connected by international trade of liquefied natural gas (LNG). Some industry observers argue that major exporters have acted irrationally by not arbitraging prices. This is also difficult...

  16. Information Shocks, Liquidity Shocks, Jumps, and Price Discovery: Evidence from the U.S. Treasury Market

    E-Print Network [OSTI]

    Jiang, George J.

    In this paper, we identify jumps in U.S. Treasury-bond (T-bond) prices and investigate what causes such unexpected large price changes. In particular, we examine the relative importance of macroeconomic news announcements ...

  17. Annual energy outlook 1998 with projections to 2020

    SciTech Connect (OSTI)

    NONE

    1997-12-01T23:59:59.000Z

    The Annual Energy Outlook 1998 (AEO98) is the first AEO with projections to 2020. Key issues for the forecast extension are trends in energy efficiency improvements, the effects of increasing production and productivity improvements on energy prices, and the reduction in nuclear generating capacity. Projections in AEO98 also reflect a greater shift to electricity market restructuring. Restructuring is addressed through several changes that are assumed to occur in the industry, including a shorter capital recovery period for capacity expansion decisions and a revised financial structure that features a higher cost of capital as the result of higher competitive risk. Both assumptions tend to favor less capital-intensive generation technologies, such as natural gas, over coal or baseload renewable technologies. The forecasts include specific restructuring plans in those regions that have announced plans. California, New York, and New England are assumed to begin competitive pricing in 1998. The provisions of the California legislation for stranded cost recovery and price caps are incorporated. In New York and New England, stranded cost recovery is assumed to be phased out by 2008.

  18. Mathematics, Pricing, Market Risk Management and Trading Strategies for Financial Derivatives (2/3)

    ScienceCinema (OSTI)

    None

    2011-10-06T23:59:59.000Z

    Market Trading and Risk Management of Vanilla FX Options - Measures of Market Risk - Implied Volatility - FX Risk Reversals, FX Strangles - Valuation and Risk Calculations - Risk Management - Market Trading Strategies

  19. Supplemental Tables to the Annual Energy Outlook

    Reports and Publications (EIA)

    2014-01-01T23:59:59.000Z

    The Annual Energy Outlook (AEO) Supplemental tables were generated for the reference case of the AEO using the National Energy Modeling System, a computer-based model which produces annual projections of energy markets. Most of the tables were not published in the AEO, but contain regional and other more detailed projections underlying the AEO projections.

  20. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    Administration Annual Energy Outlook 2012 17 Table A7. Transportation sector key indicators and delivered energy consumption (continued) Key indicators and consumption...

  1. Oil and Gas Outlook

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

    Gas Outlook For Independent Petroleum Association of America November 13, 2014 | Palm Beach, FL By Adam Sieminski, Administrator U.S. Energy Information Administration Recent...

  2. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    3 U.S. Energy Information Administration | Annual Energy Outlook 2012 Reference case Table A6. Industrial sector key indicators and consumption Energy Information Administration ...

  3. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    1 U.S. Energy Information Administration | Annual Energy Outlook 2012 Reference case Table A5. Commercial sector key indicators and consumption (quadrillion Btu per year, unless...

  4. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    9 U.S. Energy Information Administration | Annual Energy Outlook 2012 Table G1. Heat rates Fuel Units Approximate heat content Coal 1 Production . . . . . . . . . . . . . . . . . ....

  5. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    for Defense Districts 216 U.S. Energy Information Administration Annual Energy Outlook 2010 Figure F3. Petroleum Administration for Defense Districts AK WA NV AZ OR...

  6. Annual Energy Outlook 2012

    Gasoline and Diesel Fuel Update (EIA)

    end of table. (continued on next page) U.S. Energy Information Administration | Annual Energy Outlook 2012 116 Comparison with other projections Table 28. Comparison of coal...

  7. The level crossing analysis of German stock market index (DAX) and daily oil price time series

    E-Print Network [OSTI]

    Shayeganfar, F; Peinke, J; Tabar, M Reza Rahimi

    2010-01-01T23:59:59.000Z

    The level crossing analysis of DAX and oil price time series are given. We determine the average frequency of positive-slope crossings, $\

  8. Optimal Spot Market Inventory Strategies in the Presence of Cost and Price Risk

    E-Print Network [OSTI]

    Guo, Xin; Kaminsky, Philip; Tomecek, Pascal; Yuen, M.

    2007-01-01T23:59:59.000Z

    1966. A Continous Time Inventory Model. Jounal of Applied4] Berling, P. Holding Inventory with Stochastically Mean-6] Chaouc, B . 2006. Inventory Control and Periodic Price

  9. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

    2012-01-01T23:59:59.000Z

    York (several hubs), Ontario, PJM, MISO, ERCOT South, Intocontract delivering into the PJM Western hub. Assuming thatpeak real-time prices posted by PJM Interconnection, LLC, on

  10. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

    2010-01-01T23:59:59.000Z

    York (several hubs), Ontario, PJM, MISO, ERCOT South, Intocontract delivering into the PJM Western hub. Assuming thatpeak real-time prices posted by PJM Interconnection, LLC, on

  11. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

    2012-01-01T23:59:59.000Z

    the link between the energy risk exposure of a building andreal estate mortgages. Energy risk pricing technology foroffice buildings and their energy risk characteristics. The

  12. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

    2010-01-01T23:59:59.000Z

    the link between the energy risk exposure of a building andreal estate mortgages. Energy risk pricing technology foro?ce buildings and their energy risk characteristics. The

  13. Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market: An African Perspective

    E-Print Network [OSTI]

    ­ unbridled population growth, oil price fluctuations, importation policies, water availability and political prices indicating the importance of investment in irrigation to increase the food yield and thus, address problems in Africa, however, it is recommended to increase government investment on local agriculture

  14. Outlook export contacts and groups Migrate Outlook Contacts to gmail

    E-Print Network [OSTI]

    Aalberts, Daniel P.

    Outlook export contacts and groups Migrate Outlook Contacts to gmail 1. In Outlook 2007 on the File menu, click Import and Export. 1a. For Outlook 2010 on the File menu, click Open, then Import 2. Click Export to a file, and then click Next. #12;3. Click Comma Separated Values (Windows), and then click Next

  15. Short-term energy outlook, April 1999

    SciTech Connect (OSTI)

    NONE

    1999-04-01T23:59:59.000Z

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

  16. The impact of information signals on market prices when agents have non-linear trading rules

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    system of market dynamics because of the non-proportional character of non-linearity. Thus, taking theory of efficient markets assumes identical investors having rational expectations of future stock

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

    E-Print Network [OSTI]

    Rausser, Gordon C.; Just, Richard E.

    1979-01-01T23:59:59.000Z

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

  18. 10/02/2007 07:40 PMStock market news and prices Page 1 of 3http://markets.chron.com/chron?ChannelID=3206&GUID=3074055&Page=MediaViewer

    E-Print Network [OSTI]

    Glaser, Rainer

    10/02/2007 07:40 PMStock market news and prices Page 1 of 3http://markets 2747.11 S&P 500 1546.63 OIL 45.50 Presence Of Essential Molecule In Space Could Support Life On Other on Earth because of a delicate combination of chemical ingredients. Using a theoretical model, Glaser

  19. 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 ...

  20. 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 ...

  1. 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

    Oil Price Information Service (OPIS) based on a survey ofprices are also provided by OPIS. The unbranded gasolinemarket shares provided by OPIS. 18 Figure 5 (Panels B-D)

  2. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

    2012-01-01T23:59:59.000Z

    package. For a given trading date, a power hub, and a typeabove). For a given trading date, a power hub, and a type ofterm-structure of power prices for a given trading date for

  3. Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.

    E-Print Network [OSTI]

    Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

    2010-01-01T23:59:59.000Z

    package. For a given trading date, a power hub, and a typeabove). For a given trading date, a power hub, and a type ofstructure of power prices for a given trading date. Since

  4. Petroleum industry sensitivity and world oil market prices: The Nigerian example

    SciTech Connect (OSTI)

    Kalu, T.Ch.U. [Univ. of Ilorin (Nigeria)

    1995-12-31T23:59:59.000Z

    Most empirical studies have focused on the demand side of energy with little or no attention to the supply side. To deal with this defect, this paper adopts a microanalytic approach to the problem of the individual oil firms to provide a basis for determining the effects of changes in such macro-variables as prices on their operations. However, instead of the familiar econometric approach to energy studies, a goal programming approach is adopted. Using a multinational oil company as a case study, the effects of change in crude oil prices are examined. The results, among other things, support the hypersensitivity of oil companies to changes in economic cycles, the price inelasticity of demand for crude oil in the short run, and a time lag between price change and the time an oil company responds to it. The management and policy implications of the results are also discussed. 28 refs., 3 tabs.

  5. Consumer Demand under Price Uncertainty: Empirical Evidence from the Market for Cigarettes

    E-Print Network [OSTI]

    Coppejans, Mark; Gilleskie, Donna; Sieg, Holger; Strumpf, Koleman

    2007-08-01T23:59:59.000Z

    We develop a demand model for goods that are subject to habit formation. We show that consumption plans of forward-looking individuals depend on preferences, current period prices, and individual beliefs about the evolution ...

  6. Annual energy outlook 1997 with projections to 2015

    SciTech Connect (OSTI)

    NONE

    1996-12-01T23:59:59.000Z

    The Annual Energy Outlook 1997 (AEO97) presents midterm forecasts of energy supply, demand, and prices through 2015 prepared by the Energy Information Administration (EIA). These projections are based on results of EIA`s National Energy Modeling System (NEMS). This report begins with a summary of the reference case, followed by a discussion of the legislative assumptions and evolving legislative and regulatory issues. ``Issues in Focus`` discusses emerging energy issues and other topics of particular interest. It is followed by the analysis of energy market trends. The analysis in AEO97 focuses primarily on a reference case and four other cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. Forecast tables for these cases are provided in Appendixes A through C. Appendixes D and E present summaries of the reference case forecasts in units of oil equivalence and household energy expenditures. Twenty-three other cases explore the impacts of varying key assumptions in NEMS--generally, technology penetration, with the major results shown in Appendix F. Appendix G briefly describes NEMS and the major AEO97 assumptions, with a summary table. 114 figs., 22 tabs.

  7. 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

  8. Estimating Large-Customer Demand Response Market Potential: Integrating Price and Customer Behavior

    E-Print Network [OSTI]

    Goldman, Charles; Hopper, Nicole; Bharvirkar, Ranjit; Neenan, Bernie; Cappers, Peter

    2007-01-01T23:59:59.000Z

    Estimating Large-Customer Demand Response Market Potential:Syracuse, NY ABSTRACT Demand response (DR) is increasinglyestimated. Introduction Demand response (DR) is increasingly

  9. Optimal spot market inventory strategies in the presence of cost and price risk

    E-Print Network [OSTI]

    Guo, X.; Kaminsky, P.; Tomecek, P.; Yuen, M.

    2011-01-01T23:59:59.000Z

    Optimal spot market inventory strategies in the presence ofeither increase or decrease inventory by buying or sellingof actively managing inventory during the period rather than

  10. Market conditions affecting energy efficiency investments

    SciTech Connect (OSTI)

    Seabright, J. [Agency for International Development, Washington, DC (United States). Office of Energy, Environment, and Technology; Smith, S.G.; Vierbicher, H.L. [Hagler Bailly Consulting, Inc., Arlington, VA (United States)

    1996-12-31T23:59:59.000Z

    The global energy efficiency market is growing, due in part to energy sector and macroeconomic reforms and increased awareness of the environmental benefits of energy efficiency. Many countries have promoted open, competitive markets, thereby stimulating economic growth. They have reduced or removed subsidies on energy prices, and governments have initiated energy conservation programs that have spurred the wider adoption of energy efficiency technologies. The market outlook for energy efficiency is quite positive. The global market for end-use energy efficiency in the industrial, residential and commercial sectors is now estimated to total more than $34 billion per year. There is still enormous technical potential to implement energy conservation measures and to upgrade to the best available technologies for new investments. For many technologies, energy-efficient designs now represent less than 10--20% of new product sales. Thus, creating favorable market conditions should be a priority. There are a number of actions that can be taken to create favorable market conditions for investing in energy efficiency. Fostering a market-oriented energy sector will lead to energy prices that reflect the true cost of supply. Policy initiatives should address known market failures and should support energy efficiency initiatives. And market transformation for energy efficiency products and services can be facilitated by creating an institutional and legal structure that favors commercially-oriented entities.

  11. Annual Energy Outlook 2013

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

    oil and natural gas outlook IAEE International Conference June 16, 2014 | New York, NY By Adam Sieminski, EIA Administrator The U.S. has experienced a rapid increase in natural gas...

  12. Annual Energy Outlook 2013

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

    Energy Outlook Oil and Gas Strategies Summit May 21, 2014 | New York, NY By Adam Sieminski, EIA Administrator The U.S. has experienced a rapid increase in natural gas and oil...

  13. Annual Energy Outlook 2012

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

    5 U.S. Energy Information Administration | Annual Energy Outlook 2012 Regional maps Figure F4. Oil and gas supply model regions Figure F4. Oil and Gas Supply Model Regions Atlantic...

  14. 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.

  15. A study of beef cattle marketing in Venezuela and the marketing margins between the farm and retail levels of prices

    E-Print Network [OSTI]

    Acosta, Sady Ines Borjas-Paez

    1975-01-01T23:59:59.000Z

    "Venezuela Beef Cattle Industry" comprises that sector of the agricultural economy which produces and sells cattle for beef and the agencies and firms involved in marketing of this product. Characteristics of Beef Cattle Production The peculiar ecosystem... savanna type veg- etation, mainly of the trachypogon species. The rest is covered by semi-decidious and gallery forest types includ ? . g b ) pp* ) d) t d ~b'' )b tt ) d) d savannas of PPaspalum fasciculatum" (Figure 3). Mean 0 0 annual temperature...

  16. 3 MICROSIMULATING AUTOMOBILE MARKETS: 4 EVOLUTION OF VEHICLE HOLDINGS AND VEHICLE-PRICING DYNAMICS

    E-Print Network [OSTI]

    Kockelman, Kara M.

    . All available vehicles 35 compete directly, with demand, supply and price signals endogenous and reasonable response to multiple inputs, as well as potential 40 implementation issues. 41 42 INTRODUCTION 43 aggregate or disaggregate level using microsimulation. Several researchers have attempted to do55 this (e

  17. Supplement to the annual energy outlook 1995

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

    This section of the Supplement to the Annual Energy Outlook 1995 present the major assumptions of the modeling system used to generate the projections in the Annual Energy Outlook 1995 (AEO95). In this context, assumptions include general features of the model structure, assumptions concerning energy markets, and the key input data and parameters that are most significant in formulating the model results. Detailed documentation of the modeling system is available in a series of documentation reports listed in Appendix B. A synopsis of the National Energy Modeling System (NEMS), the model components, and the interrelationships of the modules is presented. The NEMS is developed and maintained by the office of Integrated Analysis and Forecasting of the Energy Information Administration (EIA) to provide projection of domestic energy-economy markets in the midterm time period and perform policy analyses requested by various government agencies and the private sector.

  18. A quantitative model of trading and price formation in nancial markets Marcus G. Daniels, 1 J. Doyne Farmer, 1 L aszl o Gillemot, 1 Giulia Iori, 2 and Eric Smith 1

    E-Print Network [OSTI]

    A quantitative model of trading and price formation in #12;nancial markets Marcus G. Daniels, 1 J of prices, which is the standard measure of #12;nancial risk, and the spread and price impact functions, which are the main determinants of transaction cost. Guided by dimensional analysis, simulation

  19. 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."

  20. Marketing involves the design, pricing, promotion and distribution of goods and services for consumers.

    E-Print Network [OSTI]

    with the Elliott School of Communication, a new minor in Personal Selling is now available. Personal Selling to the $44,000 Clay Barton Scholarship. Admission When you choose to major in Marketing, you are admitted

  1. The European carbon market (2005-2007): banking, pricing and risk-hedging strategies

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . Keywords: Climate Change Policy; Emissions Trading; EU ETS; European carbon market; Banking Borrowing2010 #12;2 1 Introduction The European Union Emissions Trading Scheme (EU ETS) has been created

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

    E-Print Network [OSTI]

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

    2005-01-01T23:59:59.000Z

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

  3. Annual Energy Outlook 2009 with Projections to 2030

    SciTech Connect (OSTI)

    None

    2009-03-01T23:59:59.000Z

    The Annual Energy Outlook 2009 (AEO2009), prepared by the Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2030, based on results from EIA’s National Energy Modeling System (NEMS). EIA published an “early release” version of the AEO2009 reference case in December 2008.

  4. CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE -APRIL 2014

    E-Print Network [OSTI]

    de Lijser, Peter

    CSUF ECONOMIC OUTLOOK AND FORECASTS MIDYEAR UPDATE - APRIL 2014 Anil Puri, Ph.D. -- Director-year increase in the debt ceiling -- both of which proceeded without the usual drama. Second, the private sector, corporate coffers are flush with cash, and low US energy prices have dramatically improved the global

  5. 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.

  6. 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”

  7. 2007 Florida Hard Clam Aquaculture Outlook So what's in store for the new year? Expec-

    E-Print Network [OSTI]

    Florida, University of

    ://usda.mannlib.cornell.edu. The current economic outlook for U.S. aquacultural producers for 2007 is clouded by wide swings in energy2007 Florida Hard Clam Aquaculture Outlook So what's in store for the new year? Expec- tations projects. Meeting details are on Page 5. Regarding market trends, the annual Buyer's Guide of Seafood

  8. 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 ....................................................................

  9. ASSET PRICING AND THE CREDIT MARKET Francis A. Longstaff Jiang Wang

    E-Print Network [OSTI]

    Gabrieli, John

    in order to take on levered positions in the stock and thus bear more risk. Optimal risk sharing results in turn influences expected stock returns, stock return volatility, the term structure of interest rates, and trading activity in the stock market. We further explore the immediate empirical implication

  10. Intraclass Price Elasticity & Electric Rate Design 

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01T23:59:59.000Z

    Thomadakis, Stavros. “Price Regulation Under Uncertainty inin the Theory of Regulation. ” Handbook of IndustrialMark and David Sappington. “Regulation, Competition and

  12. Mesoscopic Community Structure of Financial Markets Revealed by Price and Sign Fluctuations

    E-Print Network [OSTI]

    Almog, Assaf; MacMahon, Mel; Garlaschelli, Diego

    2015-01-01T23:59:59.000Z

    The mesoscopic organization of complex systems, from financial markets to the brain, is an intermediate between the microscopic dynamics of individual units (stocks or neurons, in the mentioned cases), and the macroscopic dynamics of the system as a whole. The organization is determined by "communities" of units whose dynamics, represented by time series of activity, is more strongly correlated internally than with the rest of the system. Recent studies have shown that the binary projections of various financial and neural time series exhibit nontrivial dynamical features that resemble those of the original data. This implies that a significant piece of information is encoded into the binary projection (i.e. the sign) of such increments. Here, we explore whether the binary signatures of multiple time series can replicate the same complex community organization of the financial market, as the original weighted time series. We adopt a method that has been specifically designed to detect communities from cross-c...

  13. 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

  14. Annual Energy Outlook 2012

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

    A n n u a l E n e r g y Ou t l o o k 2 0 1 2 For further information . . . The Annual Energy Outlook 2012 was prepared by the U.S. Energy Information Administration (EIA), under...

  15. Short-term energy outlook, July 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Not Available

    1995-02-01T23:59:59.000Z

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

  17. Annual Energy Outlook 2013 with Projections to 2040

    SciTech Connect (OSTI)

    none,

    2013-04-01T23:59:59.000Z

    The Annual Energy Outlook 2013 (AEO2013), prepared by the U.S. Energy Information Administration (EIA), presents long-term projections of energy supply, demand, and prices through 2040, based on results from EIA’s National Energy Modeling System. The report begins with an “Executive summary” that highlights key aspects of the projections. It is followed by a “Legislation and regulations” section that discusses evolving legislative and regulatory issues, including a summary of recently enacted legislation and regulations, such as: Updated handling of the U.S. Environmental Protection Agency’s (EPA) National Emissions Standards for Hazardous Air Pollutants for industrial boilers and process heaters; New light-duty vehicle (LDV) greenhouse gas (GHG) and corporate average fuel economy (CAFE) standards for model years 2017 to 2025; Reinstatement of the Clean Air Interstate Rule (CAIR) after the court’s announcement of intent to vacate the Cross-State Air Pollution Rule (CSAPR); and Modeling of California’s Assembly Bill 32, the Global Warming Solutions Act (AB 32), which allows for representation of a cap-and-trade program developed as part of California’s GHG reduction goals for 2020. The “Issues in focus” section contains discussions of selected energy topics, including a discussion of the results in two cases that adopt different assumptions about the future course of existing policies, with one case assuming the elimination of sunset provisions in existing policies and the other case assuming the elimination of the sunset provisions and the extension of a selected group of existing public policies—CAFE standards, appliance standards, and production tax credits. Other discussions include: oil price and production trends in AEO2013; U.S. reliance on imported liquids under a range of cases; competition between coal and natural gas in electric power generation; high and low nuclear scenarios through 2040; and the impact of growth in natural gas liquids production. The “Market trends” section summarizes the projections for energy markets. The analysis in AEO2013 focuses primarily on a Reference case, Low and High Economic Growth cases, and Low and High Oil Price cases. Results from a number of other alternative cases also are presented, illustrating uncertainties associated with the Reference case projections for energy demand, supply, and prices. Complete tables for the five primary cases are provided in Appendixes A through C. Major results from many of the alternative cases are provided in Appendix D. Complete tables for all the alternative cases are available on EIA’s website in a table browser at http://www.eia.gov/oiaf/aeo/tablebrowser. AEO2013 projections are based generally on federal, state, and local laws and regulations in effect as of the end of September 2012. The potential impacts of pending or proposed legislation, regulations, and standards (and sections of existing legislation that require implementing regulations or funds that have not been appropriated) are not reflected in the projections. In certain situations, however, where it is clear that a law or regulation will take effect shortly after the Annual Energy Outlook (AEO) is completed, it may be considered in the projection.

  18. 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.

  19. Annual Energy Outlook 2011 with Projections to 2035

    SciTech Connect (OSTI)

    None

    2011-04-01T23:59:59.000Z

    The projections in the Energy Information Administration's (EIA) Annual Energy Outlook 2011 (AEO2011) focus on the factors that shape the U.S. energy system over the long term. Under the assumption that current laws and regulations remain unchanged throughout the projections, the AEO2011 Reference case provides the basis for examination and discussion of energy production, consumption, technology, and market trends and the direction they may take in the future. It also serves as a starting point for analysis of potential changes in energy policies. But AEO2011 is not limited to the Reference case. It also includes 57 sensitivity cases (see Appendix E, Table E1), which explore important areas of uncertainty for markets, technologies, and policies in the U.S. energy economy. Key results highlighted in AEO2011 include strong growth in shale gas production, growing use of natural gas and renewables in electric power generation, declining reliance on imported liquid fuels, and projected slow growth in energy-related carbon dioxide (CO2) emissions even in the absence of new policies designed to mitigate greenhouse gas (GHG) emissions. AEO2011 also includes in-depth discussions on topics of special interest that may affect the energy outlook. They include: impacts of the continuing renewal and updating of Federal and State laws and regulations; discussion of world oil supply and price trends shaped by changes in demand from countries outside the Organization for Economic Cooperation and Development or in supply available from the Organization of the Petroleum Exporting Countries; an examination of the potential impacts of proposed revisions to Corporate Average Fuel Economy standards for light-duty vehicles and proposed new standards for heavy-duty vehicles; the impact of a series of updates to appliance standard alone or in combination with revised building codes; the potential impact on natural gas and crude oil production of an expanded offshore resource base; prospects for shale gas; the impact of cost uncertainty on construction of new electric power plants; the economics of carbon capture and storage; and the possible impact of regulations on the electric power sector under consideration by the U.S. Environmental Protection Agency (EPA). Some of the highlights from those discussions are mentioned in this Executive Summary. Readers interested in more detailed analyses and discussions should refer to the 'Issues in focus' section of this report.

  20. Supplement to the annual energy outlook 1994

    SciTech Connect (OSTI)

    NONE

    1994-03-01T23:59:59.000Z

    This report is a companion document to the Annual Energy Outlook 1994 (AEO94), (DOE/EIA-0383(94)), released in Jan. 1994. Part I of the Supplement presents the key quantitative assumptions underlying the AEO94 projections, responding to requests by energy analysts for additional information on the forecasts. In Part II, the Supplement provides regional projections and other underlying details of the reference case projections in the AEO94. The AEO94 presents national forecasts of energy production, demand and prices through 2010 for five scenarios, including a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices. These forecasts are used by Federal, State, and local governments, trade associations, and other planners and decisionmakers in the public and private sectors.

  1. Report: An Updated Annual Energy Outlook 2009 Reference Case...

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

    EIA data reports." " Sources: 2006 and 2007 crude oil lower 48 average wellhead price: Energy Information Administration (EIA), Petroleum Marketing Annual 2007, DOE...

  2. 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

  3. The 2009 Outlook for Texas Rural Land Values 

    E-Print Network [OSTI]

    Klinefelter, Danny A.

    2009-03-26T23:59:59.000Z

    use. When a market is Danny Klinfelter* E-550 3/09 The 2009 Outlook for Texas Rural Land Values Agriculture and the 2008 Credit Crisis in equilibrium, only the top producers would actually earn a profit through superior management, while...

  4. 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.

  5. International energy outlook 1995, May 1995

    SciTech Connect (OSTI)

    NONE

    1995-06-01T23:59:59.000Z

    The International Energy Outlook 1995 (IEO95) presents an assessment by the Energy Information Administration (EIA) of the international energy market outlook through 2010. The report is an extension of the EIA`s Annual Energy Outlook 1995 (AEO95), which was prepared using the National Energy Modeling System (NEMS). US projections appearing in the IEO95 are consistent with those published in the AEO95. IEO95 is provided as a statistical service to energy managers and analysts, both in government and in the private sector. The projects are used by international agencies, Federal and State governments, trade associations, and other planners and decisionmakers. They are published pursuant to the Department of energy Organization Act of 1977 (Public Law 95-91), Section 295(c). The IEO95 projections are based on US and foreign government policies in effect on October 1, 1994. IEO95 displays projections according to six basic country groupings. The regionalization has changed since last year`s report. Mexico has been added to the Organization for Economic Cooperation and Development (OECD), and a more detailed regionalization has been incorporated for the remainder of the world, including the following subgroups: non-OECD Asia, Africa, Middle East, and Central and South America. China is included in non-OECD Asia. Eastern Europe and the former Soviet Union are combined in the EE/FSU subgroup.

  6. 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 ...

  7. EIA - Annual Energy Outlook 2014 Early Release

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

    Annual Energy Outlook 2013 LED Light emitting diode AEO2014 Annual Energy Outlook 2014 LNG Liquefied natural gas ATRA American Taxpayer Relief Act of 2012 LPG Liquefied petroleum...

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19T23:59:59.000Z

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

  10. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

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

  11. 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...

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

    Reports and Publications (EIA)

    2007-01-01T23:59:59.000Z

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

  13. 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.

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

    SciTech Connect (OSTI)

    NONE

    1997-04-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    NONE

    1996-02-01T23:59:59.000Z

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

  16. Annual Energy Outlook Retrospective Review

    Reports and Publications (EIA)

    2015-01-01T23:59:59.000Z

    The Annual Energy Outlook Retrospective Review provides a yearly comparison between realized energy outcomes and the Reference case projections included in previous Annual Energy Outlooks (AEO) beginning with 1982. This edition of the report adds the AEO 2012 projections and updates the historical data to incorporate the latest data revisions.

  17. The outlook for US oil dependence

    SciTech Connect (OSTI)

    Greene, D.L.; Jones, D.W.; Leiby, P.N.

    1995-05-11T23:59:59.000Z

    Market share OPEC lost in defending higher prices from 1979-1985 is being steadily regained and is projected to exceed 50% by 2000. World oil markets are likely to be as vulnerable to monopoly influence as they were 20 years ago, as OPEC regains lost market share. The U.S. economy appears to be as exposed as it was in the early 1970s to losses from monopoly oil pricing. A simulated 2-year supply reduction in 2005-6 boosts OPEC revenues by roughly half a trillion dollars and costs the U.S. economy an approximately equal amount. The Strategic Petroleum Reserve appears to be of little benefit against such a determined, multi-year supply curtailment either in reducing OPEC revenues or protecting the U.S. economy. Increasing the price elasticity of oil demand and supply in the U.S. and the rest of the world, however, would be an effective strategy.

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

    SciTech Connect (OSTI)

    Hopper, Nicole; Goldman, Charles; Neenan, Bernie

    2006-05-12T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    NONE

    1998-04-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13T23:59:59.000Z

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

  1. International energy outlook 1999

    SciTech Connect (OSTI)

    NONE

    1999-03-01T23:59:59.000Z

    This report presents international energy projections through 2020, prepared by the Energy Information Administration. The outlooks for major energy fuels are discussed, along with electricity, transportation, and environmental issues. The report begins with a review of world trends in energy demand. The historical time frame begins with data from 1970 and extends to 1996, providing readers with a 26-year historical view of energy demand. The IEO99 projections covers a 24-year period. The next part of the report is organized by energy source. Regional consumption projections for oil, natural gas, coal, nuclear power, and renewable energy (hydroelectricity, geothermal, wind, solar, and other renewables) are presented in the five fuel chapters, along with a review of the current status of each fuel on a worldwide basis. The third part of the report looks at energy consumption in the end-use sectors, beginning with a chapter on energy use for electricity generation. New to this year`s outlook are chapters on energy use in the transportation sector and on environmental issues related to energy consumption. 104 figs., 87 tabs.

  2. Commerical Price - Marketers

    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(Billion2,128 2,469 2,321Spain,606,602and Tables and99 2006-201012

  3. 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 ...

  4. 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 ...

  5. Impact of Natural Gas Price Decontrol on Gas Supply, Demand and Prices 

    E-Print Network [OSTI]

    Schlesinger, B.

    1982-01-01T23:59:59.000Z

    and private sources, including the Department of Energy, manufacturers' groups, and the various academic and other research institutes. Although, these generally tend to be increasingly optimistic about the gas supply outlook and the contribution... that gas can make to U.S. energy needs in the future, questions about price deregulation continue to cloud the gas outlook in many minds. Given this, the purposes of this paper are (a) to describe briefly the prospects for natural and supplemental gas...

  6. Motor Gasoline Outlook and State MTBE Bans

    Reports and Publications (EIA)

    2003-01-01T23:59:59.000Z

    The U.S. is beginning the summer 2003 driving season with lower gasoline inventories and higher prices than last year. Recovery from this tight gasoline market could be made more difficult by impending state bans on the blending of methyl tertiary butyl ether (MTBE) into gasoline that are scheduled to begin later this year.

  7. Short-Term Energy Outlook

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

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

  8. Outlook for Industrial Energy Benchmarking 

    E-Print Network [OSTI]

    Hartley, Z.

    2000-01-01T23:59:59.000Z

    OUTLOOK FOR INDUSTRIAL ENERGY BENCHMARKING Zoe Hartley Environmental Protection Specialist U.S. Environmental Protection Agency Washington, DC ABSTRACT The U.S. Environmental Protection Agency is exploring options to sponsor an ~d~ ~~gy...

  9. Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

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

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

    SciTech Connect (OSTI)

    NONE

    1997-10-14T23:59:59.000Z

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

  13. What is the Risk of European Sovereign Debt Defaults? Fiscal Space, CDS Spreads and Market Pricing of Risk

    E-Print Network [OSTI]

    Aizenman, Joshua; Hutchison, Michael; Jinjarak, Yothin

    2011-01-01T23:59:59.000Z

    is Sovereign Credit Risk? ” American Economic Journal:3), (August, Part 1). Amato, Jeffry D. 2005 “Risk Aversionand Risk Premia in the CDS Market”, BIS Quarterly Review,

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

  15. Definitions of Marketing Terms 

    E-Print Network [OSTI]

    McCorkle, Dean; Dhuyvetter, Kevin C.

    2008-12-05T23:59:59.000Z

    projected livestock base weight (after shrink) and actual sale weight (pay weight). Price slides are necessary because heavi- er weight cattle usually sell for a lower price per hundredweight than lighter weight cattle. Retained ownership ? vertically... Extension Service.. Dean McCorkle and Kevin Dhuyvetter* Cash Market Cash marketing basis ? the difference be- tween a cash price and a futures price of a par- ticular commodity on a given futures exchange. It is calculated as: Basis = cash price - futures...

  16. Economic Outlook 20122013 12/9/2011 Marshall J. Vest, mvest@eller.arizona.edu

    E-Print Network [OSTI]

    Wong, Pak Kin

    Growth, TUS (retail, restaurant & bar, food, and gasoline) NominalReal 20 #12;Economic Outlook 20122013 and hiring "on hold" Housing woes Distressed sales Falling prices Population mobility ­ lowest since 1948 facing a long list of negatives but spending anyway Retail sales up 9.1% through October (Y/Y) Led

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

    E-Print Network [OSTI]

    Jaimungal, Sebastian

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

  18. Annual Energy Outlook 2012

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

    market module regions Source: U.S. Energy Information Administration, Office of Energy Analysis. 1 2 3 4 5 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 6 7 1. ERCT TRE All...

  19. NEW FINDINGS IN THE MARKET MICROSTRUCTURE OF OVER-THE-COUNTER MARKETS

    E-Print Network [OSTI]

    Sadeh, Norman M.

    -exempt) bond market. However, the implications on price formation, price discovery and dealer's market power. In the first chapter "Price Clustering and Dealer's Market Power", I find that prices, yields and markups is statistically verified in the data. Dealer's profit is indeed monotonically increasing with the pricing grid

  20. What is the Price of Carbon? Five definitions

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . The social cost of carbon, 4. The politically negotiated value and 5. CO2 market prices. TABLE OF CONTENTS 1. The social cost of carbon: SCC 5. Politically negotiated value: the "shadow price" 6. CO2 market prices 7. The social cost of carbon, 4. The politically negotiated value and 5. CO2 market prices. 2. THE EXPECTED

  1. International energy outlook 1996

    SciTech Connect (OSTI)

    NONE

    1996-05-01T23:59:59.000Z

    This International Energy Outlook presents historical data from 1970 to 1993 and EIA`s projections of energy consumption and carbon emissions through 2015 for 6 country groups. Prospects for individual fuels are discussed. Summary tables of the IEO96 world energy consumption, oil production, and carbon emissions projections are provided in Appendix A. The reference case projections of total foreign energy consumption and of natural gas, coal, and renewable energy were prepared using EIA`s World Energy Projection System (WEPS) model. Reference case projections of foreign oil production and consumption were prepared using the International Energy Module of the National Energy Modeling System (NEMS). Nuclear consumption projections were derived from the International Nuclear Model, PC Version (PC-INM). Alternatively, nuclear capacity projections were developed using two methods: the lower reference case projections were based on analysts` knowledge of the nuclear programs in different countries; the upper reference case was generated by the World Integrated Nuclear Evaluation System (WINES)--a demand-driven model. In addition, the NEMS Coal Export Submodule (CES) was used to derive flows in international coal trade. As noted above, foreign projections of electricity demand are now projected as part of the WEPS. 64 figs., 62 tabs.

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

    E-Print Network [OSTI]

    2008-12-12T23:59:59.000Z

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

  3. LED Watch: The Outlook for OLEDs

    Broader source: Energy.gov [DOE]

    December 2014 LED Watch: The Outlook for OLEDs James Brodrick, U.S. Department of Energy LD+A Magazine

  4. Experimental Markets for Product Concepts

    E-Print Network [OSTI]

    Chan, Nicholas T.

    2001-07-01T23:59:59.000Z

    Market prices are well known to efficiently collect and aggregate diverse information regarding the value of commodities and assets. The role of markets has been particularly suitable to pricing financial securities. This ...

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

    E-Print Network [OSTI]

    Longstaff, Francis; Wang, Ashley

    2002-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Longstaff, Francis A; Wang, Ashley

    2002-01-01T23:59:59.000Z

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

  7. 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

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

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1997...

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

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

    Prices," source for backcast estimates prior to January 1983. 19. U.S. Refiner Residual Fuel Oil Prices 36 Energy Information Administration Petroleum Marketing Annual 1996...

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

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

    Market-Based Programs Technical Information Network SSL Pricing and Efficacy Trend Analysis for Utility Program Planning SSL Pricing and Efficacy Trend Analysis for Utility...

  11. Definitions of Marketing Terms

    E-Print Network [OSTI]

    McCorkle, Dean; Dhuyvetter, Kevin C.

    2008-12-05T23:59:59.000Z

    Extension Service.. Dean McCorkle and Kevin Dhuyvetter* Cash Market Cash marketing basis ? the difference be- tween a cash price and a futures price of a par- ticular commodity on a given futures exchange. It is calculated as: Basis = cash price - futures...

  12. Price Responsiveness in the AEO2003 NEMS Residential and Commercial Buildings Sector Models

    Reports and Publications (EIA)

    2003-01-01T23:59:59.000Z

    This paper describes the demand responses to changes in energy prices in the Annual Energy Outlook 2003 versions of the Residential and Commercial Demand Modules of the National Energy Modeling System (NEMS). It updates a similar paper completed for the Annual Energy Outlook 1999 version of the NEMS.

  13. Annual Energy Outlook 2015

    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. OffshoreOilAnnual38 Reference

  14. China Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: 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 prices4Consumption TheX I A O J I E X U C H A I

  15. Outlook: The Next Twenty Years

    SciTech Connect (OSTI)

    Murayama, Hitoshi

    2003-12-07T23:59:59.000Z

    I present an outlook for the next twenty years in particle physics. I start with the big questions in our field, broken down into four categories: horizontal, vertical, heaven, and hell. Then I discuss how we attack the bigquestions in each category during the next twenty years. I argue for a synergy between many different approaches taken in our field.

  16. The outlook for natural gas

    SciTech Connect (OSTI)

    NONE

    1993-12-31T23:59:59.000Z

    The proceedings of the Institute of Gas Technology`s Houston Conference on the Outlook for Natural Gas held October 5, 1993 are presented. A separate abstract was prepared for each paper for inclusion in the Energy Science and Technology Database.

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

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    NONE

    1996-07-01T23:59:59.000Z

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

  19. 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)

  20. EIA - Annual Energy Outlook 2001

    Gasoline and Diesel Fuel Update (EIA)

    trade, demand & emissions. Consumption & Efficiency Energy use in homes, commercial buildings, manufacturing, and transportation. Coal Reserves, production, prices, employ- ment...

  1. Energy Information Administration / Petroleum Marketing Annual...

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

    55 Energy Information Administration Petroleum Marketing Annual 1997 Prices of Petroleum Products Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State...

  2. The Role of Demand Response in Default Service Pricing

    E-Print Network [OSTI]

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-01-01T23:59:59.000Z

    and Pennsylvania use the PJM real-time spot market price tosince the hourly real-time PJM prices are not known untilfive minutes. The hourly PJM price is a weighted average of

  3. The Role of Demand Response in Default Service Pricing

    E-Print Network [OSTI]

    Barbose, Galen; Goldman, Charles; Neenan, Bernie

    2008-01-01T23:59:59.000Z

    every five minutes. The hourly PJM real time market price iscomposite five-minute prices. PJM also administers a day-and Pennsylvania use the PJM real-time market as the basis

  4. Annual energy outlook 1994: With projections to 2010

    SciTech Connect (OSTI)

    Not Available

    1994-01-01T23:59:59.000Z

    The Annual Energy Outlook 1994 (AEO94) presents the midterm energy forecasts of the Energy Information Administration (EIA). This year`s report presents projects and analyses of energy supply, demand, and prices through 2010, based for the first time on results from the National Energy Modeling System (NEMS). NEMS is the latest in a series of computer-based energy modeling systems used over the past 2 decades by EIA and its predecessor organization, the Federal Energy Administration, to analyze and forecast energy consumption and supply in the midterm period (about 20 years). Quarterly forecasts of energy supply and demand for 1994 and 1995 are published in the Short-Term Energy Outlook (February 1994). Forecast tables for 2000, 2005, and 2010 for each of the five scenarios examined in the AEO94 are provided in Appendices A through E. The five scenarios include a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices. Appendix F provides detailed comparisons of the AEO94 forecasts with those of other organizations. Appendix G briefly described the NEMS and the major AEO94 forecast assumptions. Appendix H summarizes the key results for the five scenarios.

  5. Annual energy outlook 1995, with projections to 2010

    SciTech Connect (OSTI)

    NONE

    1995-01-01T23:59:59.000Z

    The Annual Energy Outlook 1995 (AEO95) presents the midterm energy forecasts of the Energy Information Administration (EIA). This year`s report presents projections and analyses of energy supply, demand, and prices through 2010, based on results from the National Energy Modeling System (NEMS). Quarterly forecasts of energy supply and demand for 1995 and 1996 are published in the Short-Term Energy Outlook (February 1995). Forecast tables for the five cases examined in the AEO95 are provided in Appendixes A through C. Appendix A gives historical data and forecasts for selected years from 1992 through 2010 for the reference case. Appendix B presents two additional cases, which assume higher and lower economic growth than the reference case. Appendix C presents two cases that assume higher and lower world oil prices. Appendix D presents a summary of the forecasts in units of oil equivalence. Appendix E presents a summary of household energy expenditures. Appendix F provides detailed comparisons of the AEO95 forecasts with those of other organizations. Appendix G briefly describes NEMS and the major AEO95 forecast assumptions. Appendix H presents a stand-alone high electricity demand case. Appendix 1 provides a table of energy conversion factors and a table of metric conversion factors. 89 figs., 23 tabs.

  6. Soviet Union oil sector outlook grows bleaker still

    SciTech Connect (OSTI)

    Not Available

    1991-08-12T23:59:59.000Z

    This paper reports on the outlook for the U.S.S.R's oil sector which grows increasingly bleak and with it prospects for the Soviet economy. Plunging Soviet oil production and exports have analysts revising near term oil price outlooks, referring to the Soviet oil sector's self-destructing and Soviet oil production in a freefall. County NatWest, Washington, citing likely drops in Soviet oil production and exports (OGJ, Aug. 5, p. 16), has jumped its projected second half spot price for West Texas intermediate crude by about $2 to $22-23/bbl. Smith Barney, New York, forecasts WTI postings at $24-25/bbl this winter, largely because of seasonally strong world oil demand and the continued collapse in Soviet oil production. It estimates the call on oil from the Organization of Petroleum Exporting Countries at more than 25 million b/d in first quarter 1992. That would be the highest level of demand for OPEC oil since 1980, Smith Barney noted.

  7. Legal improvements brighten North Africa production outlook

    SciTech Connect (OSTI)

    NONE

    1997-05-12T23:59:59.000Z

    North Africa`s three main oil producing countries soon will reap benefits of past moves by their governments to encourage investment by international companies. Production of crude oil and natural gas in Algeria, Egypt, and Libya is ready to increase from suppressed levels of the recent past, says International Energy Agency, Paris. The gains are possible despite political risks, total reserves accounting for only 4% of the world`s crude reserves, and oil prices well below levels of the 1980s, when the countries` flow rates peaked. The reason: producing oil in North Africa is profitable. In a recent study entitled North Africa Oil and Gas, IEA attributes the bright production outlook to improvements that the countries` governments have made in the past decade to hydrocarbon laws and the fiscal terms they offer international investors. According to announced plans, the three countries` combined capacity to produce crude oil will rise 18% by the year 2000 to 3.65 million b/d, and a further gain of 700,000 b/d is possible. IEA expects production capacity for natural gas to increase 50% from its 1995 level by 2000 to a combined 139.4 billion cu m/year. This paper discusses production capacities, Algeria`s record, improvements in Egypt, and Libya`s changes.

  8. Essays on Pricing Behaviors of Energy Commodities 

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

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

  9. Essays on trades and security prices

    E-Print Network [OSTI]

    Obizhaeva, Anna

    2007-01-01T23:59:59.000Z

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

  10. Essays on Pricing Behaviors of Energy Commodities

    E-Print Network [OSTI]

    Qin, Xiaoyan

    2012-07-16T23:59:59.000Z

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

  11. China's Energy and Carbon Emissions Outlook to 2050

    E-Print Network [OSTI]

    Zhou, Nan

    2011-01-01T23:59:59.000Z

    Agency (IEA). 2009. World Energy Outlook 2009. Paris: OECDlines in the 2009 World Energy Outlook 450 ppm scenario.Agency (IEA)’s 2009 World Energy Outlook 450 ppm scenario.

  12. World nuclear outlook 1995

    SciTech Connect (OSTI)

    NONE

    1995-09-29T23:59:59.000Z

    As part of the EIA program to provide energy information, this analysis report presents the current status and projections through 2015 of nuclear capacity, generation, and fuel cycle requirements for all countries in the world using nuclear power to generate electricity for commercial use. It also contains information and forecasts of developments in the uranium market. Long-term projections of US nuclear capacity, generation, and spent fuel discharges for two different scenarios through 2040 are developed for the Department of Energy`s Office of Civilian Radioactive Waste Management (OCRWM). In turn, the OCRWM provides partial funding for preparation of this report. The projections of uranium requirements are provided to the Organization for Economic Cooperation and Development (OECD) for preparation of the Nuclear Energy Agency/OECD report, Summary of Nuclear Power and Fuel Cycle Data in OECD Member Countries.

  13. World nuclear outlook 1994

    SciTech Connect (OSTI)

    NONE

    1994-12-01T23:59:59.000Z

    As part of the EIA program to provide energy information, this analysis report presents the current status and projections through 2010 of nuclear capacity, generation, and fuel cycle requirements for all countries in the world using nuclear power to generate electricity for commercial use. It also contains information and forecasts of developments in the uranium market. Long-term projections of US nuclear capacity, generation, and spent fuel discharges for three different scenarios through 2040 are developed for the Department of Energy`s Office of Civilian Radioactive Waste Management (OCRWM). In turn, the OCRWM provides partial funding for preparation of this report. The projections of uranium requirements are provided to the Organization for Economic Cooperation and Development (OECD) for preparation of the Nuclear Energy Agency/OECD report, Summary of Nuclear Power and Fuel Cycle Data in OECD Member Countries.

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

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    California at Berkeley. University of

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

  16. Scaling analysis of time series of daily prices from stock markets of transitional economies in the Western Balkans

    E-Print Network [OSTI]

    Savran, Darko; Blesic, Suzana; Miljkovic, Vladimir

    2014-01-01T23:59:59.000Z

    In this paper we have analyzed scaling properties of time series of stock market indices (SMIs) of developing economies of Western Balkans, and have compared the results we have obtained with the results from more developed economies. We have used three different techniques of data analysis to obtain and verify our findings: Detrended Fluctuation Analysis (DFA) method, Detrended Moving Average (DMA) method, and Wavelet Transformation (WT) analysis. We have found scaling behavior in all SMI data sets that we have analyzed. The scaling of our SMI series changes from long-range correlated to slightly anti-correlated behavior with the change in growth or maturity of the economy the stock market is embedded in. We also report the presence of effects of potential periodic-like influences on the SMI data that we have analyzed. One such influence is visible in all our SMI series, and appears at a period $T_{p}\\approx 90$ days. We propose that the existence of various periodic-like influences on SMI data may partially...

  17. Annual Energy Outlook 2015 - Appendix A

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

    2 Reference case Table A10. Electricity trade (billion kilowatthours, unless otherwise noted) Energy Information Administration Annual Energy Outlook 2015 Table A10. Electricity...

  18. Energy Information Administration / Annual Energy Outlook 2011

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

    Administration Annual Energy Outlook 2011 1 7 Table A7. Transportation Sector Key Indicators and Delivered Energy Consumption (Continued) Key Indicators and Consumption...

  19. Annual Energy Outlook 2013 - Energy Information Administration

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

    Annual Energy Outlook 2013 Release Dates: April 15 - May 2, 2013 | Next Early Release Date: December 2013 (See release cycle changes) | correction | full report Overview Data...

  20. EIA - Annual Energy Outlook 2011 Early Release

    Gasoline and Diesel Fuel Update (EIA)

    January STEO Annual projections to 2040 International projections All projections reports Analysis & Projections Major Topics Most popular Annual Energy Outlook related...

  1. Impact of Tight Energy Markets on Industrial Energy Planning 

    E-Print Network [OSTI]

    Elliott, R. N.

    2006-01-01T23:59:59.000Z

    quickly than have electricity prices in part due to the lag between fuel price increase and their manifestation in retail electric rates. The 2006 Annual Energy Outlook (EIA 2006) projects that we are near a peak in natural gas prices....html . Washington, D.C.: U.S. Department of Energy. ________ 2006. 2006 Annual Energy Outlook. Washington, D.C.: U.S. Department of Energy. [FERC] Federal Energy Regulatory Commission. 2003. Report on the Natural Gas Price Spike of February 2003. Report...

  2. 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

  3. Development of wheat marketing strategies for the Texas Northern High Plains 

    E-Print Network [OSTI]

    Johnson, Karl E

    1982-01-01T23:59:59.000Z

    Marketing Strategy Results Marketing Strategy Comparison 42 55 55 71 72 77 78 SUEY. REFERENCES 83 86 APPENDIX A: Selected Moving Average Combination Results 88 APPENDIX B: February and August Wheat Outlook and Situa- tion Accuracy Plots 90..., 1974-1980. Examples of Buy and Sell Signals Generated by Moving Averages. 14 May Wheat Outlook and Situation Hard Winter Wheat Forecast Beginning Stock and Actual Beginning Stock Values for Crop Years 1975-1979. 44 November Wheat Outlook...

  4. August 2012 Short-Term Energy Outlook

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: 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 Module

  5. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08T23:59:59.000Z

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

  6. EIA - Annual Energy Outlook 2014 Early Release

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

    Product Prices Table 13. Natural Gas Supply, Disposition, and Prices Table 14. Oil and Gas Supply Table 15. Coal Supply, Disposition, and Price Table 16. Renewable Energy...

  7. EIA - Annual Energy Outlook 2014 Early Release

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

    particularly by natural gas prices. However, the relationship between retail electricity prices and natural gas prices is complex, and many factors influence the degree to which,...

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

    E-Print Network [OSTI]

    Padilla, Mercedes A. (Mercedes Angeles)

    2005-01-01T23:59:59.000Z

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

  9. Demand and Price Outlook for Phase 2 Reformulated Gasoline, 2000

    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)gasoline353/06) 2Yonthly Energy : 42Q)2Q)6)2k(STEO)

  10. Demand, Supply, and Price Outlook for Reformulated Motor Gasoline 1995

    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)gasoline353/06) 2Yonthly Energy : 42Q)2Q)6)2k(STEO)

  11. Export markets gain strength

    SciTech Connect (OSTI)

    Fiscor, S.

    2008-02-15T23:59:59.000Z

    The prices for internally traded coal in the USA have reached record levels and the future market fundamentals look very good. This is mainly due to Asian demand. The article discusses recent markets for US coal and summarizes findings of a recent study by Hill & Associates entitled 'International coal trade - supply, demand and prices to 2025'. 1 ref., 2 tabs.

  12. 49th Annual international outlook issue. [World oil gas exploration and development trends

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

    This article represents the World Oil's 49th annual outlook. It discusses oil and gas exploration information, pricing, drilling activity, production, and reserves. It discusses the various reasons for increases or decreases in drilling activity in the various production regions of the earth. The article is broken down into the various geo-political regions and each region is described individually. These regions are described as North America, South America, Western Europe, Eastern Europe, Africa, the Middle East, the Far East (China, Indonesia, Viet Nam, etc.), and the South Pacific (Australia, New Zealand, New Guinea). Information on production, pricing, and drilling is presented in tabular formats along with a narrative discussion.

  13. Short-term energy outlook, annual supplement 1994

    SciTech Connect (OSTI)

    Not Available

    1994-08-01T23:59:59.000Z

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

  14. Short-term energy outlook annual supplement, 1993

    SciTech Connect (OSTI)

    NONE

    1993-08-06T23:59:59.000Z

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

  15. 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

  16. FACTORS AND FLOWS: INFORMATION AND CREDIT MARKETS,

    E-Print Network [OSTI]

    Sadeh, Norman M.

    the contribution of the credit default swap (CDS) market to price discovery relative to both the option market revealed in the CDS market into prices of equity iii #12;options within a few days, and vice versa. We volatile names. The third chapter studies the effect of macroeconomic announcements on returns, price

  17. EU BIOFUEL USE AND AGRICULTURAL COMMODITY PRICES: A REVIEW OF THE EVIDENCE BASE

    E-Print Network [OSTI]

    EU BIOFUEL USE AND AGRICULTURAL COMMODITY PRICES: A REVIEW OF THE EVIDENCE BASE Report prepared: Kretschmer, B, Bowyer, C and Buckwell, A (2012) EU Biofuel Use and Agricultural Commodity Prices: A Review............................................................................................................. 8 2 EU POLICY DRIVING BIOFUELS DEMAND AND OUTLOOK FOR THIS DEMAND TO 2020. 9 2.1 What is the current

  18. Vertical Relationships and Competition in Retail Gasoline Markets: An Empirical Evidence from Contract Changes in Southern California

    E-Print Network [OSTI]

    Hastings, Justine

    2000-01-01T23:59:59.000Z

    The Behavior of Retail Gasoline Prices: Symmetric or Not? ”vertical contracts and retail gasoline prices. The thirdthe differences in retail gasoline prices between markets is

  19. Annual energy outlook 2009 with projections to 2030

    SciTech Connect (OSTI)

    NONE

    2009-03-15T23:59:59.000Z

    The Annual Energy Outlook 2009 (AEO009), presents long-term projections of energy supply, demand, and prices through 2030, based on results from EIA's National Energy Modeling System (NEMS). EIA published an 'early release' version of the AEO009 reference case in December 2008. The report begins with an 'Executive Summary' that highlights key aspects of the projections. It is followed by a 'Legislation and Regulations' section that discusses evolving legislation and regulatory issues, including a summary of recently enacted legislation, such as the Energy Improvement and Extension Act of 2008 (EIEA2008). The next section, 'Issues in Focus,' contains discussions of selected topics, including: the impacts of limitations on access to oil and natural gas resources on the Federal Outer Continental Shelf (OCS); the implications of uncertainty about capital costs for new electricity generating plants; and the result of extending the Federal renewable production tax credit (PTC). It also discusses the relationship between natural gas and oil prices and the basis of the world oil price and production trends in AEO2009.

  20. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

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

  1. 1986 Cogeneration Market Assessment

    E-Print Network [OSTI]

    Wallace, D. G.

    increases and paper production which is basically a solid fuel fired steam turbine market will increase, thus increasing the application of steam turbines. Lastly, in the refuse market probably the least effect of lower oil prices will occur. Energy.... Project developers have more to worry about with dropping oil prices. tax reform, Alcon decisions. etc. than they do with potential changes to PURPA. General Market Trends Forecasts A recent article in Energy User News said that the number...

  2. An analysis of the market news and related information available to Arizona cattle producers 

    E-Print Network [OSTI]

    Stubblefield, Thomas Mason

    1956-01-01T23:59:59.000Z

    and Feeder Cattle Producers Who Reported Receiving Feed Prices, Production, and Outlook Reports................................... 1*9 17. The Per Cent of Stocker and Feeder Cattle Producers Who Reported that Financing, Range Conditions, Cost... of Production, or Outlook for Cattle Prices Had the Greatest Effect on Cattle Numbers Produced on the Ranch.............................. ............ . 5>1 18. The Per Cent of the 303 Cattle Producers Who Reported That They Increased, Decreased, or Held...

  3. 2015 NASEO Energy Policy Outlook Conference

    Broader source: Energy.gov [DOE]

    BETO Director Jonathan Male will be speaking at the National Association of State Energy Organization Energy Policy Outlook Conference, which will be taking place from February 3–6 at the Washington, D.C.

  4. Energy Information Administration / Annual Energy Outlook 2011

    Gasoline and Diesel Fuel Update (EIA)

    23.60 28.73 28.99 28.68 27.92 27.22 0.6% Energy Information Administration Annual Energy Outlook 2011 1 4 Table A6. Industrial Sector Key Indicators and Consumption...

  5. EIA - Annual Energy Outlook 2012 Early Release

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

    Report Number: DOEEIA-0383ER(2012) This release is an abridged version of the Annual Energy Outlook that highlights changes in the AEO Reference case projections for key energy...

  6. Annual Energy Outlook 2015 - Appendix A

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

    8 Reference case Table A14. Oil and gas supply Energy Information Administration Annual Energy Outlook 2015 Table A14. Oil and gas supply Production and supply Reference case...

  7. Short-Term Energy Outlook September 2013

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

    day Forecast -0.9 2012 2013 2014 OPEC countries North America Russia and Caspian Sea Latin America North Sea Other Non-OPEC Source: Short-Term Energy Outlook, September 2013 -1...

  8. Annual Energy Outlook 2015 - Appendix A

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

    Outlook 2015 Table A17. Renewable energy consumption by sector and source (quadrillion Btu per year) Sector and source Reference case Annual growth 2013-2040 (percent) 2012 2013...

  9. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    Fisheries, through its Market Development Branch, has contracted with the Bureau of Labor Statistics prices. P repared in the Bureau of Commercial Fisheries Branch of Market Development #12;United States - September 1958 CONTENTS TUNA, CANNED : Page --------------- White Meat Tuna Or Albacore, Solid Pack, In Oil

  10. Utah Solar Outlook March 2010

    Broader source: Energy.gov [DOE]

    This presentation provides an overview of Utah's solar market, policy initiatives, and progress to date on the Solar America Cities Project: Solar Salt Lake.

  11. 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

  12. Agricultural Outlook Forum | Department of Energy

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE: Alternative Fuels DataEnergyDepartment ofATVMAgricultural Outlook Forum Agricultural Outlook

  13. Regulating Wireless Access Pricing Kwanfong Leung and Jianwei Huang

    E-Print Network [OSTI]

    Huang, Jianwei

    user prices change with network's market shares and bandwidth costs. When such direct control change with the network costs and market shares. · Social optimal access pricing: We showRegulating Wireless Access Pricing Kwanfong Leung and Jianwei Huang Department of Information

  14. Market review - Market values summary/October market review/current market data

    SciTech Connect (OSTI)

    NONE

    1995-11-01T23:59:59.000Z

    This article is the October 1995 uranium market summary. In this reporting period, there were four transactions in the natural uranium market, no activity in the spot UF6 market, no activity in the spot conversion market, and only a single activity in the enrichment services market. Spot uranium volume dropped sharply, and active uranium supply rose. The rise in demand, however, more than offset this increase. Unrestricted exchange prices rose slightly, as did the unrestricted UF6 value. All other prices remained steady.

  15. Learning Curve: A Simulation-based Approach to Dynamic Pricing

    E-Print Network [OSTI]

    Greenwald, Amy

    horizon. In this article, we refer to this type of changing of prices over time as dynamic pricing. Cost markets, the costs associated with making frequent, instantaneous price changes are greatly diminished [2Learning Curve: A Simulation-based Approach to Dynamic Pricing Joan Morris DiMicco, Amy Greenwald

  16. 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

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

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

  19. Oil and natural gas reserve prices, 1982-2002 : implications for depletion and investment cost

    E-Print Network [OSTI]

    Adelman, Morris Albert

    2003-01-01T23:59:59.000Z

    A time series is estimated of in-ground prices - as distinct from wellhead prices ? of US oil and natural gas reserves for the period 1982-2002, using market purchase and sale transaction information. The prices are a ...

  20. Oil Price Shocks: Causes and Consequences

    E-Print Network [OSTI]

    Lutz Kilian; Key Words

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

  1. 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, ...

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

    E-Print Network [OSTI]

    Dolan, Amelia Jane

    2011-01-01T23:59:59.000Z

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

  3. An agent-based approach to modeling electricity spot markets

    E-Print Network [OSTI]

    Visudhiphan, Poonsaeng, 1973-

    2003-01-01T23:59:59.000Z

    (cont.) The model could also be used to analyze market factors (such as new market rules) and their effects on market price dynamics and market participants' behaviors, as well as to identify the "best" response action of ...

  4. The U.S. Oil and Natural Gas Production Outlook

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

    Oil and Natural Gas Production Outlook for PRG Energy Outlook Conference September 22, 2014 by Adam Sieminski, Administrator 0 20 40 60 80 100 120 1980 1985 1990 1995 2000 2005...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-01-01T23:59:59.000Z

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

  6. Impact of farm policy on cotton prices in the United States: a study of cointegrated textile prices

    E-Print Network [OSTI]

    Cook, Katherine Renee'

    1997-01-01T23:59:59.000Z

    , and numerous other individuals to get involved in the expectation of an associated price change. New agricultural policy, therefore, is a federal government interruption in "business as usual" cycles and serves to create fluctuations in market price...

  7. DOCUMENTS DE TRAVAIL -WORKING PAPERS Testing Optimal Punishment Mechanisms under Price

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    under Price Regulation: the Case of the Retail Market for Gasoline By Robert Gagné* , HEC Montréal, CRT of price floors. In 1996, the introduction of a price floor in the Quebec retail market for gasoline serves The behaviour of retail gasoline prices has long been and still is the object of fierce public debate. Given its

  8. PNNL-SA-??? 1 Market Design Test Environments

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    Supply SchedulesDemand Responsive Loads Price Quantity Contract Signal Coal Gas Oil Fuel Distributors experiments. GenCo GenCo GenCo Electricity Markets Price Quantity Demand Supply LSE LSE LSE Power System price responsiv

  9. 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.

  10. DOE/EIA-0383(2009) Annual Energy Outlook 2009

    E-Print Network [OSTI]

    Laughlin, Robert B.

    2009-01-01T23:59:59.000Z

    DOE/EIA-0383(2009) March 2009 Annual Energy Outlook 2009 With Projections to 2030 #12;For Further Information . . . The Annual Energy Outlook 2009 was prepared by the Energy Information Administration, under for the Annual Energy Outlook 2009 during 2009. Other contributors to the report include Justine Barden, Joseph

  11. OECD Internet Economy Outlook 2012 Access the complete publication at

    E-Print Network [OSTI]

    Weske, Mathias

    From: OECD Internet Economy Outlook 2012 Access the complete publication at: http://dx.doi.org/10 and development", in OECD Internet Economy Outlook 2012, OECD Publishing. http://dx.doi.org/10 of international law. #12;OECD Internet Economy Outlook © OECD 2012 63 Chapter 2 Internet trends and development

  12. alcohol marketing predicts: Topics by E-print Network

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

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

  13. Iowa Farm Outlook Department of Economics

    E-Print Network [OSTI]

    Lin, Zhiqun

    . Figure 1 compares the average price of retail beef with the cost of gasoline and the monthly cost of food enjoyed a fairly steady retail price for beef from 2003 to 2010. In the past two years, retail prices different price responses to emerging events and information. A crop planting report can immediately move

  14. World Oil: Market or Mayhem?

    E-Print Network [OSTI]

    Smith, James L.

    2008-01-01T23:59:59.000Z

    The world oil market is regarded by many as a puzzle. Why are oil prices so volatile? What is OPEC and what does OPEC do? Where are oil prices headed in the long run? Is “peak oil” a genuine concern? Why did oil prices ...

  15. CSUF Economic Outlook and Forecasts Mid-Year Update -April 2012

    E-Print Network [OSTI]

    de Lijser, Peter

    . Second, oil prices have risen steadily during this year, posing a significant risk to the world economy at a moderate pace -- a notch below the U.S. long-run potential growth and well below the historical rates in the first half by higher energy prices and a "soft-landing" of emerging market economies. Developments

  16. 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.

  17. Petroleum Marketing Annual 2009

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

    the 2010 data. Petroleum Marketing Annual --- Full report in PDF (1.2 MB) Summary Statistics Summary Statistics Tables PDF 1 Crude Oil Prices PDF TXT 1A Refiner Acquisition Cost...

  18. 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

  19. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  20. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  1. 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...

  2. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  3. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    Energy Information Administration Petroleum Marketing Annual 1995 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  4. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    134 Energy Information AdministrationPetroleum Marketing Annual 1998 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  5. Table 32. Conventional Motor Gasoline Prices by Grade, Sales...

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

    Information Administration Petroleum Marketing Annual 1995 Table 32. Conventional Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  6. 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...

  7. Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type...

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 Table 33. Oxygenated Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  8. Table 34. Reformulated Motor Gasoline Prices by Grade, Sales...

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1999 Table 34. Reformulated Motor Gasoline Prices by Grade, Sales Type, PAD District, and Selected States (Cents per...

  9. Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type...

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

    134 Energy Information AdministrationPetroleum Marketing Annual 1999 Table 35. Refiner Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon...

  10. The Appraisal Journal, Price Effects of High Voltage Transmission...

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

    data was sufficient to derive precise market price equations via multiple linear regression analysis for both Portland and Seattle. In addition, due to where the rights of way...

  11. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information AdministrationPetroleum Marketing Annual 1998 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  12. Table 21. Domestic Crude Oil First Purchase Prices

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

    Information Administration Petroleum Marketing Annual 1995 41 Table 21. Domestic Crude Oil First Purchase Prices (Dollars per Barrel) - Continued Year Month PAD District II...

  13. 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

  14. Real-Time Pricing of Electricity: An Assessment

    E-Print Network [OSTI]

    Baughman, M. L.; Zarnikau, J.

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

  15. Residential implementation of critical-peak pricing of electricity

    E-Print Network [OSTI]

    Herter, Karen

    2006-01-01T23:59:59.000Z

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

  16. 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}

  17. Market review - market values summary/February market review/current market data

    SciTech Connect (OSTI)

    NONE

    1996-03-01T23:59:59.000Z

    This article is the February 1996 uranium market report. As reflected by the rising demand and decreasing supply of uranium, prices for UF6 and U3O8 increased. Separation services and conversion services prices remained constant. Data is presented for the recent trades, blocks or uranium for sale or loan, inquiries to purchase or borrow uranium, SWUs available and inquiries to purchase SWUs, and market values of U3O8 and UF6 expressed in selected currencies.

  18. Market dynamics driven by the decisionmaking power producers

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    the market place. The market clearing mechanism is based on the locational marginal price scheme. A model. In such a case, the prices at the nodes of the network reflect the marginal cost of production and the marginal inspiration for restructuring electricity systems is to achieve highly competitive markets with prices close

  19. Information Incorporation in Online In-Game Sports Betting Markets

    E-Print Network [OSTI]

    Giles, C. Lee

    opening line or spread. To measure the accuracy of implied market forecasts over time, we use) championship. We show that prices on average approach the correct outcome over time, and the price dy- namics that information is incorporated into market prices virtu- ally instantaneously. Gambling markets epitomize trading

  20. What's happening in Midwest ISO market?

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    -ahead and real- time markets were significantly lower in 2006. Lower natural gas prices Improved coordination attributable to significantly decreased natural gas, oil and coal prices. (fuel costs represent the vastWhat's happening in Midwest ISO market? Review of 2006 Market report for Midwest ISO Department

  1. Comfort-Aware Home Energy Management Under Market-Based Demand-Response

    E-Print Network [OSTI]

    Boutaba, Raouf

    pricing and consumption data in South Korea. Index Terms--smart grid, demand-response, energy management I-based pricing. In peak capping, each home is allocated an energy quota. In market-based pricing, the price-term viable way of regulating energy consumptions. We work with day-ahead market pricing in this paper

  2. SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK

    E-Print Network [OSTI]

    CALIFORNIA ENERGY COMMISSION SUMMER 2007 ELECTRICITY SUPPLY AND DEMAND OUTLOOK DRAFTSTAFFREPORT May ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION B. B assessment of the capability of the physical electricity system to provide power to meet electricity demand

  3. Configure Outlook 2010 with Exchange Server

    E-Print Network [OSTI]

    Qiu, Weigang

    Configure Outlook 2010 with Exchange Server #12;1. Navigate to the Windows Start Menu (or press. #12;14. E-mail server settings will now auto configure. 15. Once the Auto Account Setup is configured server settings or additional server types. 3. Click the Next > button. #12;4. Select Microsoft Exchange

  4. Energy Information Administration / Annual Energy Outlook 2011

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

    r) 9.8 9.8 9.0 8.9 8.9 9.0 9.2 -0.2% Energy Information Administration Annual Energy Outlook 2011 2 Table A1. Total Energy Supply and Disposition Summary (Continued)...

  5. Energy Information Administration / Annual Energy Outlook 2011

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

    . 0.03 0.03 0.03 0.03 0.02 0.02 0.02 -1.4% Energy Information Administration Annual Energy Outlook 2011 1 0 Table A4. Residential Sector Key Indicators and Consumption...

  6. Energy Information Administration / Annual Energy Outlook 2011

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

    . 8.60 8.49 8.98 9.48 9.93 10.47 11.03 1.0% Energy Information Administration Annual Energy Outlook 2011 1 2 Table A5. Commercial Sector Key Indicators and Consumption...

  7. Neutrino oscillations: present status and outlook

    E-Print Network [OSTI]

    Thomas Schwetz

    2007-10-26T23:59:59.000Z

    I summarize the status of three-flavour neutrino oscillations with date of Oct. 2007, and provide an outlook for the developments to be expected in the near future. Furthermore, I discuss the status of sterile neutrino oscillation interpretations of the LSND anomaly in the light of recent MiniBooNE results, and comment on implications for the future neutrino oscillation program.

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

    SciTech Connect (OSTI)

    NONE

    1998-10-01T23:59:59.000Z

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

  9. A new era for oil prices

    E-Print Network [OSTI]

    Mitchell, John V.

    2006-01-01T23:59:59.000Z

    Since 2003 the international oil market has been moving away from the previous 20-year equilibrium in which prices fluctuated around $25/bbl (in today's dollars). The single most important reason is that growing demand has ...

  10. Determining Price Reasonableness in Federal ESPCs

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

    judge each individual cost to be fair and reasonable, the overall price of building a computer from scratch would be much higher than purchasing one on the open market. For this...

  11. Agricultural Marketing Policy Paper No. 37 Vincent H. Smith

    E-Print Network [OSTI]

    Lawrence, Rick L.

    increased when the harvest time price exceeds the projected harvest price. 3. Revenue Protection Plan), Income Protection (IP), and Indexed Income Protection (IIP) polices into one policy structure. Price a futures contract, price discovery is based on the futures market contracts for a commodity whose price

  12. What drives option prices? Frdric Abergel1

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    . The study reveals that while the modeling of stochastic volatility gives more robust models, the market does 2 Theoretical framework 4 3 Intraday joint dynamics of option and underlying prices 5 3.1 EppsWhat drives option prices? Frédéric Abergel1 and Riadh Zaatour2 Chair of Quantitative Finance Ecole

  13. EIA - Annual Energy Outlook 2012 Early Release

    Gasoline and Diesel Fuel Update (EIA)

    4.09 and 4.49 per gallon in 2035-higher levels than in the AEO2011 Reference case. Annual average diesel prices are higher than gasoline prices throughout the projection...

  14. EIA - Annual Energy Outlook 2013 Early Release

    Gasoline and Diesel Fuel Update (EIA)

    for by production from lower-cost mines in the West and higher price projections for coking coal. Electricity Following the recent rapid decline of natural gas prices, real...

  15. Model documentation, Coal Market Module of the National Energy Modeling System

    SciTech Connect (OSTI)

    NONE

    1998-01-01T23:59:59.000Z

    This report documents the objectives and the conceptual and methodological approach used in the development of the National Energy Modeling System`s (NEMS) Coal Market Module (CMM) used to develop the Annual Energy Outlook 1998 (AEO98). This report catalogues and describes the assumptions, methodology, estimation techniques, and source code of CMM`s two submodules. These are the Coal Production Submodule (CPS) and the Coal Distribution Submodule (CDS). CMM provides annual forecasts of prices, production, and consumption of coal for NEMS. In general, the CDS integrates the supply inputs from the CPS to satisfy demands for coal from exogenous demand models. The international area of the CDS forecasts annual world coal trade flows from major supply to major demand regions and provides annual forecasts of US coal exports for input to NEMS. Specifically, the CDS receives minemouth prices produced by the CPS, demand and other exogenous inputs from other NEMS components, and provides delivered coal prices and quantities to the NEMS economic sectors and regions.

  16. Mass Market Demand Response and Variable Generation Integration Issues: A Scoping Study

    E-Print Network [OSTI]

    Cappers, Peter

    2012-01-01T23:59:59.000Z

    prices and quantified how system balancing costs change with high wind energywind energy when mass market customers responded on a 15-minute basis to DR price

  17. February 2012 Interview: Jea Yu How to Trade the Perfect Market Storm

    E-Print Network [OSTI]

    Blömker, Dirk

    of price development near the breakout points. Introduction Market mechanics is a branch of technical to the fact that it establishes a connection between price development and the psychology of the market be interpreted as "feedback" from market participants on price development. As a result, market mechanics

  18. Comparison of the 1984 DOE/EIA annual energy outlook and the 1984 GRI baseline projection

    SciTech Connect (OSTI)

    Ashby, A.; Holtberg, P.; Woods, T.

    1985-01-01T23:59:59.000Z

    A comparative analysis of the Gas Research Institute (GRI) Baseline Projection of US Energy Supply and Demand with the DOE/EIA 1984 Annual Energy Outlook shows many similar assumptions, but many cases of widening differences between the projections of primary energy consumption and sector-specific energy consumption. The DOE/EIA expects a faster and more significant decline in the electricity to natural gas price ratio, lower sector-specific end-use prices of refined petroleum products, and a faster growth in industrial raw material energy demand. In contrast to the GRI report, it also omits an estimate of industrial cogeneration and does not retire any exisiting generating capacity. The report examines the basic assumptions and results of both projections using five scenarios. 17 tables.

  19. 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

  20. Introduction to Futures Markets

    E-Print Network [OSTI]

    Mintert, James R.; Welch, Mark

    2009-01-07T23:59:59.000Z

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

  1. Implications of Alternative Methods for Determining Agricultural Price and Income Supports.

    E-Print Network [OSTI]

    Wesley, E.; Peterson, F.

    1986-01-01T23:59:59.000Z

    ...................................... 10 Conclusion ........................................ 12 Implications of Alternative Methods for Determining Agricultural Price and Income Supports INTRODUCTION In modern economies, prices are determined through market forces , administrative... implication of these notions is that prices should be determined by the market. However, market prices can be considered optimal on ly if certain conditions are met. The existence of monopolies, externalities and public goods, for example, results in a...

  2. Market power analysis in the EEX electricity market : an agent-based simulation approach.

    SciTech Connect (OSTI)

    Wang, J.; Botterud, A.; Conzelmann, G.; Koritarov, V.; Decision and Information Sciences

    2008-01-01T23:59:59.000Z

    In this paper, an agent-based modeling and simulation (ABMS) approach is used to model the German wholesale electricity market. The spot market prices in the European Energy Exchange (EEX) are studied as the wholesale market prices. Each participant in the market is modeled as an individual rationality-bounded agent whose objective is to maximize its own profit. By simulating the market clearing process, the interaction among agents is captured. The market clearing price formed by agentspsila production cost bidding is regarded as the reference marginal cost. The gap between the marginal cost and the real market price is measured as an indicator of possible market power exertion. Various bidding strategies such as physical withholding and economic withholding can be simulated to represent strategic bidding behaviors of the market participants. The preliminary simulation results show that some generation companies (GenCos) are in the position of exerting market power by strategic bidding.

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

    SciTech Connect (OSTI)

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

    2011-04-18T23:59:59.000Z

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

  4. Small Business Independent Market Research Program | National...

    National Nuclear Security Administration (NNSA)

    Market Research Program Researching, identifying, and evaluating, high-quality, top-performing, and competitively-priced small business suppliers for NNSA programs is the...

  5. Performance, Market and Manufacturing Constraints relevant to...

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

    Constraints relevant to the Industrialization of Thermoelectric Devices Market pricing of thermoelectric raw materials and processing, cost of manufacture of devices and...

  6. An Engineering Approach to Monitoring Market Power in Restructured Markets for Electricity

    E-Print Network [OSTI]

    An Engineering Approach to Monitoring Market Power in Restructured Markets for Electricity C, School of Electrical and Computer Engineering (ECE); Graduate Research Assistant, Department of Applied Abstract The high average prices and high volatility of prices in many restructured markets for electricity

  7. Comparative Analysis of Modeling Studies on China's Future Energy and Emissions Outlook

    E-Print Network [OSTI]

    Zheng, Nina

    2010-01-01T23:59:59.000Z

    Agency (IEA). 2009. World Energy Outlook 2009. Paris: OECDsection of the IEA World Energy Outlook 2009. At the sameEnergy Agency (IEA)’s World Energy Outlook (WEO) 2009, which

  8. Optimal Control of Residential Energy Storage Under Price Fluctuations

    E-Print Network [OSTI]

    Optimal Control of Residential Energy Storage Under Price Fluctuations Peter van de ven Department.hegde,laurent.massoulie,theodoros.salonidis}@technicolor.com Abstract--An increasing number of retail energy markets exhibit price fluctuations and provide home users the oppor- tunity to buy energy at lower than average prices. However, such cost savings are hard to realize

  9. Empirical Regularities of Asymmetric Pricing in the Gasoline Industry

    E-Print Network [OSTI]

    Niebur, Ernst

    pricing in the retail gasoline industry, and also documents empirical regularities in the market. I find of asymmetric price movements in the retail gasoline industry. Yet, there is no general agreement as to whether asym- metric pricing is widespread throughout the retail gasoline industry or merely an anomaly

  10. 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

    EIA). 1996a. Annual Energy Outlook 1996. DOE/EIA- 0383(DC. _______________. 1996b. Annual Energy Outlook 1997. DOE/DC. _______________. 1997. Annual Energy Outlook 1998. DOE/

  11. EIA - Annual Energy Outlook (AEO) 2012 Data Tables

    Gasoline and Diesel Fuel Update (EIA)

    75. Imported Liquids by Source XLS Table 76. Conversion Factors XLS About the Annual Energy Outlook Contact information and staff Press release AEO2012 Early Release AEO2012...

  12. EIA - Annual Energy Outlook (AEO) 2011 Data Tables

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

    75. Imported Liquids by Source XLS Table 76. Conversion Factors XLS About the Annual Energy Outlook Contact Information and Staff About the National Energy Modeling System (NEMS)...

  13. EIA - Annual Energy Outlook (AEO) 2013 Data Tables

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

    and Income and Employment by Region Table 74. Conversion Factors About the Annual Energy Outlook Contact information and staff Press release Press conference presentation...

  14. Outlook for Energy and Implications for Irrigated Agriculture 

    E-Print Network [OSTI]

    Patton, W. P.; Lacewell, R. D.

    1977-01-01T23:59:59.000Z

    TR- 87 1977 Outlook for Energy and Implications for Irrigated Agriculture W.P. Patton R.D. Lacewell Texas Water Resources Institute Texas A&M University ...

  15. Assumptions to Annual Energy Outlook - Energy Information Administrati...

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

    January STEO Annual projections to 2040 International projections All projections reports Analysis & Projections Major Topics Most popular Annual Energy Outlook related...

  16. Market reaction to bad news: The case of bankruptcy filings 

    E-Print Network [OSTI]

    Coelho, Luis

    2008-01-01T23:59:59.000Z

    Finance scholars disagree on how real world financial markets work. On the one hand, efficient market hypothesis (EMH) advocates claim that arbitrage ensures that market prices do not systematically deviate from their fundamental value even when...

  17. The application of prediction markets to business

    E-Print Network [OSTI]

    Schrieber, Jared M. (Jared Martin), 1976-

    2004-01-01T23:59:59.000Z

    According to financial theory, open markets efficiently and effectively aggregate all available information about future events into their prices. Recent empirical evidence has shown that speculative markets, from gambling ...

  18. 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

  19. 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

  20. 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.

  1. Livestock Market News Services in Texas.

    E-Print Network [OSTI]

    McNeely, John G.; Walther, Wilbert H.

    1955-01-01T23:59:59.000Z

    by the market news reporter through the leased wire system. USE OF STANDARD GRADES IN REPORTING The market news reporters evaluate informa- tion received from buyers and sellers and report existing market conditions. The basis for their reporting.... Another steer may barely fulfill the minimum requirements for the Good grade and be just a little above the Commercial category. Those two animals, if present and if sold at a fair price, could establish the price limits for the grade. On any market...

  2. Economically rational expectations theory: evidence from the WTI oil price survey data

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    strength in the oil market. KEYWORDS: expectations formation, oil price CLASSIFICATION: D84, G14, Q43 expectations in the oil market: evidence from survey data 1. Introduction Oil price shocks are among the mainEconomically rational expectations theory: evidence from the WTI oil price survey data Georges PRAT

  3. 150 Years of Boom and Bust: What Drives Mineral Commodity Prices?

    E-Print Network [OSTI]

    Nesterov, Yurii

    33, N50 Keywords: Mineral Commodity Markets, Prices, Non-renewable resources, Structural VAR that, while global output and inflation have some effects on the prices of agricultural and mineral150 Years of Boom and Bust: What Drives Mineral Commodity Prices? Martin Stuermer Job Market Paper

  4. 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...

  5. Trends in Utility Green Pricing Programs (2005)

    Broader source: Energy.gov [DOE]

    This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs. It is important to note that this report covers only a portion of voluntary markets for renewable energy. It does not cover green power sold by independent marketers except for cases in which the marketers work in conjunction with utilities or default electricity suppliers.

  6. 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.

  7. EIA - Annual Energy Outlook 2014 Early Release

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

    Next Release Date: March 2016 | full report Overview Data Reference Case Side Cases Interactive Table Viewer By Section Executive summary Economic growth Prices Delivered energy...

  8. EIA - Annual Energy Outlook 2013 Early Release

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

    A6 Industrial Sector Key Indicators and Consumption A7 Transportation Sector Key Indicators and Delivered Energy Consumption A8 Electricity Supply, Disposition, Prices,...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-01-01T23:59:59.000Z

    EIA) (2000). Annual Energy Outlook 2001. DOE/EIA- 0383(DC. _______________ (2001). Annual Energy Outlook 2002. DOE/DC. _______________ (2003). Annual Energy Outlook 2003. DOE/

  10. 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

  11. 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

  12. Colorado 2014 Economic Outlook: There are No Guarantees

    E-Print Network [OSTI]

    Colorado 2014 Economic Outlook: There are No Guarantees Dr. Martin Shields Regional Economics Institute Colorado State University #12;The Important Economic Issues · The economy is no longer "recovering the recovery looked like · 2014 outlook · Does economic growth improve individual well-being? #12;"Recovery

  13. Energy for 500 million Homes: Drivers and Outlook for

    E-Print Network [OSTI]

    -up analysis of residential building energy consumption in China using data from a wide variety of sourcesLBNL-2417E Energy for 500 million Homes: Drivers and Outlook for Residential Energy Consumption and Outlook for Residential Energy Consumption in China Nan Zhou*, Michael A. McNeil, Mark Levine Keywords

  14. Alberta's Energy Reserves 2007 and Supply/Demand Outlook

    E-Print Network [OSTI]

    Laughlin, Robert B.

    Alberta's Energy Reserves 2007 and Supply/Demand Outlook 2008-2017 0 ST98-2008 Energy Resources RESOURCES CONSERVATION BOARD ST98-2008: Alberta's Energy Reserves 2007 and Supply/Demand Outlook 2008: Reserves Andy Burrowes, Rick Marsh, Nehru Ramdin, and Curtis Evans; Supply/Demand and Economics

  15. 528 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 18, NO. 2, MAY 2003 Experience with PJM Market Operation, System

    E-Print Network [OSTI]

    McCalley, James D.

    Terms--Electricity market, locational marginal pricing. I. INTRODUCTION PJM OPERATES the world's largest of locational marginal pricing (LMP). II. DAY-AHEAD ENERGY MARKET The day-ahead market provides market on the differences in Locational Marginal Prices between the transac- tion source and sink locations. Load serving

  16. Understanding International Price Submitted in partial fulfillment of the requirements for

    E-Print Network [OSTI]

    Sadeh, Norman M.

    on their rivals costs and face international trade frictions, they optimally choose to price to market. The model, we use this time period to test the basic prediction of the trade cost model that price dispersion on microeconomic trade costs and prices. We construct trade-weighted averages for price dispersion and trade costs

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

    E-Print Network [OSTI]

    Carmona, Rene

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

  18. 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

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

    E-Print Network [OSTI]

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

  20. USING NETWORKS OF JOURNEYS TO IMPROVE A PETROL MARKET MODEL

    E-Print Network [OSTI]

    Clark, Joanna

    at the micro level are not tied to global level variables like oil prices); the parameters are often difficult interaction models. 1 INTRODUCTION The petrol price market is a highly competitive market. Despite pressures vehicle per year. Consumers are becoming ever more aware of petrol prices; internet sites in the UK