Sample records for oil price forecast

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

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01T23:59:59.000Z

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

  2. Fuel Price Forecasts INTRODUCTION

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  4. A Non Parametric Model for the Forecasting of the Venezuelan Oil Prices

    E-Print Network [OSTI]

    Costanzo, Sabatino; Dehne, Wafaa; Prato, Hender

    2007-01-01T23:59:59.000Z

    A neural net model for forecasting the prices of Venezuelan crude oil is proposed. The inputs of the neural net are selected by reference to a dynamic system model of oil prices by Mashayekhi (1995, 2001) and its performance is evaluated using two criteria: the Excess Profitability test by Anatoliev and Gerko (2005) and the characteristics of the equity curve generated by a trading strategy based on the neural net predictions. ----- Se introduce aqui un modelo no parametrico para pronosticar los precios del petroleo Venezolano cuyos insumos son seleccionados en base a un sistema dinamico que explica los precios en terminos de dichos insumos. Se describe el proceso de recoleccion y pre-procesamiento de datos y la corrida de la red y se evaluan sus pronosticos a traves de un test estadistico de predictibilidad y de las caracteristicas del Equity Curve inducido por la estrategia de compraventa bursatil generada por dichos pronosticos.

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

    E-Print Network [OSTI]

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

  6. I strongly urge that the forecasts recognize the high oil prices and gas prices experienced in 2008 and not treat them as an unusual occurrence in the next 20 years. In the long term with cap and

    E-Print Network [OSTI]

    I strongly urge that the forecasts recognize the high oil prices and gas prices experienced in 2008 and the development of carbon capture and storage applied to new coal fired generating stations, gas prices will only go up. Gas from the Rockies will move east as quickly as transport is available. To the extent

  7. 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

  8. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  9. Are there Gains from Pooling Real-Time Oil Price Forecasts?

    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 there Gains from Pooling

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

    E-Print Network [OSTI]

    Wiser, Ryan; Bolinger, Mark

    2004-01-01T23:59:59.000Z

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

  11. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Garousi, Vahid

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

  13. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

  20. 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

  1. 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

  2. Consensus Coal Production And Price Forecast For

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

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

  4. The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices 

    E-Print Network [OSTI]

    Kudoyan, Olga

    2012-02-14T23:59:59.000Z

    This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...

  5. The Incremental Benefits of the Nearest Neighbor Forecast of U.S. Energy Commodity Prices

    E-Print Network [OSTI]

    Kudoyan, Olga

    2012-02-14T23:59:59.000Z

    This thesis compares the simple Autoregressive (AR) model against the k- Nearest Neighbor (k-NN) model to make a point forecast of five energy commodity prices. Those commodities are natural gas, heating oil, gasoline, ethanol, and crude oil...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2004-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

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

  8. STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES

    E-Print Network [OSTI]

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

  9. Oil Price Trackers Inspired by Immune Memory

    E-Print Network [OSTI]

    Wilson, WIlliam; Aickelin, Uwe

    2010-01-01T23:59:59.000Z

    We outline initial concepts for an immune inspired algorithm to evaluate and predict oil price time series data. The proposed solution evolves a short term pool of trackers dynamically, with each member attempting to map trends and anticipate future price movements. Successful trackers feed into a long term memory pool that can generalise across repeating trend patterns. The resulting sequence of trackers, ordered in time, can be used as a forecasting tool. Examination of the pool of evolving trackers also provides valuable insight into the properties of the crude oil market.

  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

    vs. AEO 2001 Price Forecast Natural Gas Price (nominal $/if forwards forecasts) or natural gas-fired generation (ifs reference case forecast of natural gas prices delivered to

  11. 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

  12. 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...

  13. 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...

  14. 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

  15. World Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001)gasoline prices4 Oil demand Motor444 U.S.Working and

  16. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2005-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

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

  20. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bertini, Robert L.

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

  2. Table 1. Crude Oil Prices

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

    can be the month of loading, the month of landing, or sometime between those events. Prices for crude oil can be determined at a time other than the acquisition date. See the...

  3. Figure 4. World Oil Prices

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

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

  5. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    over time even if the oil market were perfectly competitive.a big role in world oil markets, that era is long past.and re?ning oil and delivering it to the market. We could

  6. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    and Income on Energy and Oil Demand,” Energy Journal 23(1),the faster its growth in oil demand over the last half ofthe income elasticity of oil demand to fall signi?cantly.

  7. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  8. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Natural Gas, Heating Oil and Gasoline,” NBER Working Paper.2006. “China’s Growing Demand for Oil and Its Impact on U.S.and Income on Energy and Oil Demand,” Energy Journal 23(1),

  9. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    in U.S. real GDP and oil consumption, 1949-2006. slope =Historical Chinese oil consumption and projection of trend.1991-2006: Chinese oil consumption in millions of barrels

  10. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

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

  11. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2007”. comparison, Mexico used 6.6— Chinese oil consumption17. Oil production from the North Sea, Mexico’s Cantarell,

  12. Forecasting the Price of Oil

    E-Print Network [OSTI]

    Ron Alquist; Lutz Kilian; Robert J. Vigfusson; Ron Alquist; Lutz Kilian; Robert J. Vigfusson

    2011-01-01T23:59:59.000Z

    NOTE: International Finance Discussion Papers are preliminary materials circulated to stimulate discussion and critical comment. References in publications to International Finance Discussion Papers (other than an acknowledgment that the writer has had access to unpublished material) should be cleared with the author or authors. Recent IFDPs are available on the Web at www.federalreserve.gov/pubs/ifdp/. This paper can be downloaded without charge from Social

  13. Crude Oil Prices

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

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

  14. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    an alternative investment strategy to buying oil today andinvestments necessary to catch up. This was the view o?ered by oilinvestment strategy. date t) in order to purchase a quantity Q barrels of oil

  15. What's Driving Oil Prices? James L. Smith

    E-Print Network [OSTI]

    O'Donnell, Tom

    to demand and supply reactions. "The Coal Age didn't end because producers ran out of coal !!" OIL PRICE VS1 What's Driving Oil Prices? James L. Smith Cary M. Maguire Chair in Oil & Gas Management Critical Issues in Energy Federal Reserve Bank of Dallas November 2, 2006 The Price of OPEC Oil ($/bbl) $0 $20 $40

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    disruptions, and the peak in U.S. oil production account foroil increased 81.1% (logarithmically) between January 1979 and the peak

  17. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential heating oil prices decrease

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential heating oil prices decrease

    Gasoline and Diesel Fuel Update (EIA)

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

  20. 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

  1. 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

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

    E-Print Network [OSTI]

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

  3. Oil Price and the Dollar Virginie Coudert

    E-Print Network [OSTI]

    Boyer, Edmond

    The aim of this paper is to test whether a stable long-term relationship exists between oil prices of the relationship between oil prices and the real effective exchange rate of the dollarOil Price and the Dollar Virginie Coudert , Val´erie Mignon , Alexis Penot§ 6th April 2005 Abstract

  4. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating oil

  5. 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.

  6. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  7. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

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

  8. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9, 2015

  11. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9, 20155,

  12. Residential heating oil price increases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9,

  13. Residential heating oil prices available

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases Theheating oil9,heating

  14. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Residential heating oil prices decrease

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014

  18. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014heating

  19. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3, 2014heating5,

  20. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,

  1. Residential heating oil prices increase

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating

  2. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6, 2014

  7. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6,

  8. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreases The averageheating6,4

  9. Residential heating oil price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential heating oil prices decline

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Essays on Forecasting and Hedging Models in the Oil Market and Causality Analysis in the Korean Stock Market 

    E-Print Network [OSTI]

    Choi, Hankyeung

    2012-10-19T23:59:59.000Z

    on the forecasting models for crude oil prices and the hedging models for gasoline prices, and to study the change in the contemporaneous causal relationship between investors' activities and stock price movements in the Korean stock market. In the first essay...

  15. Essays on Forecasting and Hedging Models in the Oil Market and Causality Analysis in the Korean Stock Market

    E-Print Network [OSTI]

    Choi, Hankyeung

    2012-10-19T23:59:59.000Z

    on the forecasting models for crude oil prices and the hedging models for gasoline prices, and to study the change in the contemporaneous causal relationship between investors' activities and stock price movements in the Korean stock market. In the first essay...

  16. 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.

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

  18. The impact of forecasted energy price increases on low-income consumers

    SciTech Connect (OSTI)

    Eisenberg, Joel F. [Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States)

    2005-10-31T23:59:59.000Z

    The Department of Energy’s Energy Information Administration (EIA) recently released its short term forecast for residential energy prices for the winter of 2005-2006. The forecast indicates significant increases in fuel costs, particularly for natural gas, propane, and home heating oil, for the year ahead. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation’s low-income households by primary heating fuel type, nationally and by Census Region. The statistics are intended for the use of policymakers in the Department of Energy’s Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2006 fiscal year.

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

    E-Print Network [OSTI]

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

  20. Price forecasting for U.S. cattle feeders: which technique to apply?

    E-Print Network [OSTI]

    Hicks, Geoff Cody

    1997-01-01T23:59:59.000Z

    both feeder cattle costs and corn costs, and maximizing fed cattle prices. This research strives to evaluate the accuracy of six distinct price forecasting techniques over an eleven year period. The forecast techniques selected for this analysisare...

  1. The Weak Tie Between Natural Gas and Oil Prices

    E-Print Network [OSTI]

    Ramberg, David J.

    Several recent studies establish that crude oil and natural gas prices are cointegrated, so that changes in the price of oil appear to translate into changes in the price of natural gas. Yet at times in the past, and very ...

  2. 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 ...

  3. Criticality Characteristics of Current Oil Price Dynamics

    E-Print Network [OSTI]

    Drozdz, Stanislaw; Oswiecimka, Pawel

    2008-01-01T23:59:59.000Z

    Methodology that recently lead us to predict to an amazing accuracy the date (July 11, 2008) of reverse of the oil price up trend is briefly summarized and some further aspects of the related oil price dynamics elaborated. This methodology is based on the concept of discrete scale invariance whose finance-prediction-oriented variant involves such elements as log-periodic self-similarity, the universal preferred scaling factor lambda=2, and allows a phenomenon of the "super-bubble". From this perspective the present (as of August 22, 2008) violent - but still log-periodically decelerating - decrease of the oil prices is associated with the decay of such a "super- bubble" that has started developing about one year ago on top of the longer-term oil price increasing phase (normal bubble) whose ultimate termination is evaluated to occur in around mid 2010.

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

    E-Print Network [OSTI]

    (LNG) imports. With the higher natural gas prices of recent years and technological improvements in drilling, nonconventional supplies of natural gas have expanded rapidly. A significant amount of LNG import

  5. The strategic consequences of the oil price collapse

    SciTech Connect (OSTI)

    Schuler, H.

    1987-01-01T23:59:59.000Z

    This book discusses the geopolitical consequences of the oil-price drop in such countries as Indonesia, Nigeria, Algeria, Mexico and Egypt. It also assesses the overall implications of the drop in oil prices on oil-producing areas.

  6. 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.

  7. 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.

  8. Forecasting Prices andForecasting Prices and Congestion forCongestion for

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

  9. 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.

  10. 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...

  11. 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...

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

    E-Print Network [OSTI]

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

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

    SciTech Connect (OSTI)

    Abosedra, S.S.

    1984-01-01T23:59:59.000Z

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

  14. Residential heating oil prices virtually unchanged

    Gasoline and Diesel Fuel Update (EIA)

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

  15. 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.

  16. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    Form EIA-182, "Domestic Crude Oil First Purchase Report." 22. Domestic Crude Oil First Purchase Prices for Selected Crude Streams 44 Energy Information Administration...

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

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    1 Forecasting the Hourly Ontario Energy Price by Multivariate Adaptive Regression Splines H. In this paper, the MARS technique is applied to forecast the hourly Ontario energy price (HOEP). The MARS models values of the latest pre- dispatch price and demand information, made available by the Ontario

  18. The Impact of Oil Prices on the Air Transportation Industry

    E-Print Network [OSTI]

    Hill, Wendell T.

    The Impact of Oil Prices on the Air Transportation Industry Final Report Prepared by: John Hansman................................................................................................47 3 EVALUATING THE EFFECTS OF OIL PRICE CHANGE ON THE US DOMESTIC CARGO INDUSTRY .................48 3............................................................................................................................74 4 OIL PRICE IMPACTS IN GENERAL AVIATION

  19. Oil prices and government bond risk premiums Herv Alexandre*

    E-Print Network [OSTI]

    Boyer, Edmond

    Oil prices and government bond risk premiums By Hervé Alexandre*º Antonin de Benoist * Abstract : This article analyses the impact of oil price on bond risk premiums issued by emerging economies. No empirical study has yet focussed on the effects of the oil price on government bond risk premiums. We develop

  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

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    SciTech Connect (OSTI)

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

    2008-01-07T23:59:59.000Z

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

  3. Residential heating oil prices virtually unchanged

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating4

  4. Residential heating oil prices virtually unchanged

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating40,

  5. Residential heating oil prices virtually unchanged

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating40,5,

  6. Residential heating oil prices virtually unchanged

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for On-Highway4,1,50022,3,,,,6,1,9,1,50022,3,,,,6,1,Decade Year-0E (2001) -heating oil price decreasesheating oil3,heating40,5,4

  7. 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.

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

    E-Print Network [OSTI]

    because natural gas fired electric generating plants are on the margin much of the time in Western marketsBiennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts Electricity prices in the Council's Power Plan are forecast using the AURORATM Electricity Market Model of the entire

  9. 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.

  10. 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.

  11. Lower Oil Prices: A Reason to Give Thanks GENE EPSTEIN

    E-Print Network [OSTI]

    California at Davis, University of

    Lower Oil Prices: A Reason to Give Thanks By GENE EPSTEIN Nov. 29, 2014 1:31 a.m. ET I give thanks thanks for an oil price that fell below $70 a barrel Friday, mainly because it bodes well for general early this year ("Here Comes $75 Oil," March 31). Amy Jaffe, executive director of energy

  12. 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.

  13. 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...

  14. 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...

  15. 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 ...

  16. 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

  17. 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

  18. Residential heating oil prices virtually unchanged

    Gasoline and Diesel Fuel Update (EIA)

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

  19. The imperfect price-reversibility of world oil demand

    SciTech Connect (OSTI)

    Gately, D. [New York Univ., NY (United States)

    1993-12-31T23:59:59.000Z

    This paper examines the price-reversibility of world oil demand, using price-decomposition methods employed previously on other energy demand data. We conclude that the reductions in world oil demand following the oil price increases of the 1970s will not be completely reversed by the price cuts of the 1980s. The response to price cuts in the 1980s is perhaps only one-fifth that for price increases in the 1970s. This has dramatic implications for projections of oil demand, especially under low-price assumptions. We also consider the effect on demand of a price recovery (sub-maximum increase) in the 1990s - due either to OPEC or to a carbon tax-specifically whether the effects would be as large as for the price increases of the 1970s or only as large as the smaller demand reversals of the 1980s. On this the results are uncertain, but a tentative conclusion is that the response to a price recovery would lie midway between the small response to price cuts and the larger response to increases in the maximum historical price. Finally, we demonstrate two implications of wrongly assuming that demand is perfectly price-reversible. First, such an assumption will grossly overestimate the demand response to price declines of the 1980s. Secondly, and somewhat surprisingly, it causes an underestimate of the effect of income growth on future demand. 21 refs., 11 figs., 1 tab.

  20. Metabolic paths in world economy and crude oil price

    E-Print Network [OSTI]

    Picciolo, Francesco; Ruzzenenti, Franco

    2015-01-01T23:59:59.000Z

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

  1. Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries

    E-Print Network [OSTI]

    LeBlanc, Michael; Chinn, Menzie David

    2004-01-01T23:59:59.000Z

    Do High Oil Prices Presage Inflation? The Evidence from G-5to be more sensitive to oil prices than in the U.S. , isa dollar denominated oil price. References Blanchard O.J.

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

    E-Print Network [OSTI]

    Fritsch, Roger Erwin

    1997-01-01T23:59:59.000Z

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

  3. The Price of Oil Risk Steven D. Baker, Bryan R. Routledge,

    E-Print Network [OSTI]

    The Price of Oil Risk Steven D. Baker, Bryan R. Routledge, September 2011 [December 20, 2012 multiple goods. We use this optimal consumption allocation to derive a pricing kernel and the price of oil for oil. As an example, in a calibrated version of our model we show how rising oil prices and falling oil

  4. 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.

  5. 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.

  6. Fractality feature in oil price fluctuations

    E-Print Network [OSTI]

    Momeni, M; Talebi, K

    2008-01-01T23:59:59.000Z

    The scaling properties of oil price fluctuations are described as a non-stationary stochastic process realized by a time series of finite length. An original model is used to extract the scaling exponent of the fluctuation functions within a non-stationary process formulation. It is shown that, when returns are measured over intervals less than 10 days, the Probability Density Functions (PDFs) exhibit self-similarity and monoscaling, in contrast to the multifractal behavior of the PDFs at macro-scales (typically larger than one month). We find that the time evolution of the distributions are well fitted by a Levy distribution law at micro-scales. The relevance of a Levy distribution is made plausible by a simple model of nonlinear transfer

  7. 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.

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2003-08-13T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Seco, Luis A.

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

  10. Forecasting Fuel Prices. http://www.nwcouncil.org/library/2008/2008-13.htm

    E-Print Network [OSTI]

    Forecasting Fuel Prices. http://www.nwcouncil.org/library/2008/2008-13.htm Not only depends on what is the best to worst, depending on your point of view. The truth is that the move away from non green fuels is not numerical, but one that is of insight and has perspective. The price of fuels is one that has to also

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

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

  12. Past, present and future evolution of oil prices

    E-Print Network [OSTI]

    Corsetti, Manuel

    2010-01-01T23:59:59.000Z

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

  13. Table 21. Domestic Crude Oil First Purchase Prices

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

    19.11 18.73 18.63 17.97 18.75 18.10 See footnotes at end of table. 21. Domestic Crude Oil First Purchase Prices Energy Information Administration Petroleum Marketing Annual...

  14. 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 ...

  15. Econometric model and futures markets commodity price forecasting

    E-Print Network [OSTI]

    Just, Richard E.; Rausser, Gordon C.

    1979-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

  18. How regulators should use natural gas price forecasts

    SciTech Connect (OSTI)

    Costello, Ken

    2010-08-15T23:59:59.000Z

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

  19. 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

  20. 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.

  1. 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...

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

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

  3. 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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

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

  5. 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

  6. 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.

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

    E-Print Network [OSTI]

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

  8. Crude Oil Prices Table 21. Domestic Crude Oil First Purchase...

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

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

  9. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    Form EIA-182, "Domestic Crude Oil First Purchase Report." 23. Domestic Crude Oil First Purchase Prices by API Gravity Energy Information Administration Petroleum...

  10. Do High Oil Prices Presage Inflation? The Evidence from G-5 Countries

    E-Print Network [OSTI]

    LeBlanc, Michael; Chinn, Menzie David

    2004-01-01T23:59:59.000Z

    Historical oil crises have been characterized by widespread concern about the pricehistorical in nature, it would be a mistake to conclude that the impact of oil prices

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

    E-Print Network [OSTI]

    Herce, Miguel Angel

    2006-01-01T23:59:59.000Z

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

  12. 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 ...

  13. Econometric Modelling of World Oil Supplies: Terminal Price and the Time to Depletion

    E-Print Network [OSTI]

    Mohaddes, Kamiar

    2012-03-02T23:59:59.000Z

    This paper develops a novel approach by which to identify the price of oil at the time of depletion; the so-called terminal price of oil. It is shown that while the terminal price is independent of both GDP growth and the price elasticity of energy...

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

    E-Print Network [OSTI]

    Mendjoge, Ashish V

    2004-09-30T23:59:59.000Z

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

  15. 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

  16. On the relationship between the prices of oil and the precious metals

    E-Print Network [OSTI]

    Boyer, Edmond

    EA 4272 On the relationship between the prices of oil and the precious metals: Revisiting,version1-17Apr2014 #12;On the relationship between the Prices of oil and the Precious Metals: Revisiting/US dollar exchange rates, the S&P500 equity indices, and the prices of WTI crude oil and the precious metals

  17. Oil Price Trackers Inspired by Immune Memory William Wilson , Phil Birkin , and Uwe Aickelin

    E-Print Network [OSTI]

    Aickelin, Uwe

    on so many other market sectors. In addition, oil prices have historically exhibited a num- ber of shortOil Price Trackers Inspired by Immune Memory William Wilson , Phil Birkin , and Uwe Aickelin School concepts for an immune inspired algorithm to evaluate and predict oil price time se- ries data

  18. The oil price really is a speculative bubble

    E-Print Network [OSTI]

    Eckaus, Richard S.

    2008-01-01T23:59:59.000Z

    The oil price really is a speculative bubble. Yet only recently has the U.S. Congress, for example, showed recognition that this might even be a possibility. In general there seems to be a preference for the claim that the ...

  19. Short and Long-Term Perspectives: The Impact on Low-Income Consumers of Forecasted Energy Price Increases in 2008 and A Cap & Trade Carbon Policy in 2030

    SciTech Connect (OSTI)

    Eisenberg, Joel Fred [ORNL

    2008-01-01T23:59:59.000Z

    The Department of Energy's Energy Information Administration (EIA) recently released its short-term forecast for residential energy prices for the winter of 2007-2008. The forecast indicates increases in costs for low-income consumers in the year ahead, particularly for those using fuel oil to heat their homes. In the following analysis, the Oak Ridge National Laboratory has integrated the EIA price projections with the Residential Energy Consumption Survey (RECS) for 2001 in order to project the impact of these price increases on the nation's low-income households by primary heating fuel type, nationally and by Census Region. The report provides an update of bill estimates provided in a previous study, "The Impact Of Forecasted Energy Price Increases On Low-Income Consumers" (Eisenberg, 2005). The statistics are intended for use by policymakers in the Department of Energy's Weatherization Assistance Program and elsewhere who are trying to gauge the nature and severity of the problems that will be faced by eligible low-income households during the 2008 fiscal year. In addition to providing expenditure forecasts for the year immediately ahead, this analysis uses a similar methodology to give policy makers some insight into one of the major policy debates that will impact low-income energy expenditures well into the middle decades of this century and beyond. There is now considerable discussion of employing a cap-and-trade mechanism to first limit and then reduce U.S. emissions of carbon into the atmosphere in order to combat the long-range threat of human-induced climate change. The Energy Information Administration has provided an analysis of projected energy prices in the years 2020 and 2030 for one such cap-and-trade carbon reduction proposal that, when integrated with the RECS 2001 database, provides estimates of how low-income households will be impacted over the long term by such a carbon reduction policy.

  20. Spot Prices for Crude Oil and Petroleum Products

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Oil price shocks and their short-and long-term effects on the Chinese economy Weiqi Tang a

    E-Print Network [OSTI]

    Matthews, Adrian

    studies has been devoted, following Hamilton's seminal paper, to exploring the relationship between oil-priceOil price shocks and their short- and long-term effects on the Chinese economy Weiqi Tang a , Libo-correction model Oil-price shocks Price transmission mechanisms Investment Output Producer/consumer price index

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

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

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

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

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

  6. 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.

  7. 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.

  8. The relationship between crude oil and natural gas spot prices and its stability over time

    E-Print Network [OSTI]

    Ramberg, David J. (David John)

    2010-01-01T23:59:59.000Z

    The historical basis for a link between crude oil and natural gas prices was examined to determine whether one has existed in the past and exists in the present. Physical bases for a price relationship are examined. An ...

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

    SciTech Connect (OSTI)

    Not Available

    1994-03-21T23:59:59.000Z

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

  10. Factors Affecting the Relationship between Crude Oil and Natural Gas Prices (released in AEO2010)

    Reports and Publications (EIA)

    2010-01-01T23:59:59.000Z

    Over the 1995-2005 period, crude oil prices and U.S. natural gas prices tended to move together, which supported the conclusion that the markets for the two commodities were connected. Figure 26 illustrates the fairly stable ratio over that period between the price of low-sulfur light crude oil at Cushing, Oklahoma, and the price of natural gas at the Henry Hub on an energy-equivalent basis.

  11. 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, $\

  12. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    Information AdministrationPetroleum Marketing Annual 1999 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  13. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information AdministrationPetroleum Marketing Annual 1998 203 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

  14. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    Information Administration Petroleum Marketing Annual 1995 245 Table 42. Residual Fuel Oil Prices by PAD District and State (Cents per Gallon Excluding Taxes) - Continued...

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

    E-Print Network [OSTI]

    Fariyibi, Festus Lekan

    2006-10-30T23:59:59.000Z

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

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

    E-Print Network [OSTI]

    Fariyibi, Festus Lekan

    2006-10-30T23:59:59.000Z

    This study presents an analysis of several recently published methods for quantifying the uncertainty in economic evaluations due to uncertainty in future oil prices. Conventional price forecasting methods used in the industry typically...

  17. Is There Evidence of Super Cycles in Oil Prices?* Abdel M. Zellou and John T. Cuddington**

    E-Print Network [OSTI]

    : is there evidence of super cycles in crude oil prices? On one hand, one might expect the strong demand associatedIs There Evidence of Super Cycles in Oil Prices?* Abdel M. Zellou and John T. Cuddington** March 22 since 2000 represents the early phase of a `super cycle' (SC) driven by the sustained rise in demand

  18. Does Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks with another spike in gasoline

    E-Print Network [OSTI]

    Ahmad, Sajjad

    with another spike in gasoline prices and their reported record profits. Some months ago, during the last gasoline price spike, Congress summoned the executives of the Big Oil companies to testify aboutDoes Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks

  19. Base Oil Market Segment Forecasts up to 2020,Research Reports...

    Open Energy Info (EERE)

    base-oils-lubes-market.html This report includes the key market dynamics affecting the demand for base oil globally. As a part of our market dynamics analysis, we have analyzed...

  20. Production Forecast, Analysis and Simulation of Eagle Ford Shale Oil 

    E-Print Network [OSTI]

    Alotaibi, Basel Z S Z J

    2014-12-02T23:59:59.000Z

    fracturing to liberate the recoverable hydrocarbon reserves. Thousands of wells that have been drilled in the major oil shale formations: Bakken, Permian Basin and Eagle Ford, where oil production peaked in the first few weeks and then showed a sharp...

  1. Production Forecast, Analysis and Simulation of Eagle Ford Shale Oil

    E-Print Network [OSTI]

    Alotaibi, Basel Z S Z J

    2014-12-02T23:59:59.000Z

    fracturing to liberate the recoverable hydrocarbon reserves. Thousands of wells that have been drilled in the major oil shale formations: Bakken, Permian Basin and Eagle Ford, where oil production peaked in the first few weeks and then showed a sharp...

  2. 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.

  3. Forecasting oilfield economic performance

    SciTech Connect (OSTI)

    Bradley, M.E. (Univ. of Chicago, IL (United States)); Wood, A.R.O. (BP Exploration, Anchorage, AK (United States))

    1994-11-01T23:59:59.000Z

    This paper presents a general method for forecasting oilfield economic performance that integrates cost data with operational, reservoir, and financial information. Practices are developed for determining economic limits for an oil field and its components. The economic limits of marginal wells and the role of underground competition receive special attention. Also examined is the influence of oil prices on operating costs. Examples illustrate application of these concepts. Categorization of costs for historical tracking and projections is recommended.

  4. 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.

  5. 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

  6. 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

  7. 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

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

    E-Print Network [OSTI]

    Ahmad, Sajjad

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

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

    Reports and Publications (EIA)

    2009-01-01T23:59:59.000Z

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

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

    Reports and Publications (EIA)

    2010-01-01T23:59:59.000Z

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

  11. Business cycles in oil economies

    SciTech Connect (OSTI)

    Al-Mutairi, N.H.

    1991-01-01T23:59:59.000Z

    This study examines the impact of oil price shocks on output fluctuations of several oil-exporting economies. In most studies of business cycles, the role of oil price is ignored; the few studies that use oil price as one of the variables in the system focus on modeling oil-importing economies. The vector autoregression (VAR) technique is used to consider the cases of Norway, Nigeria, and Mexico. Both atheoretical and structural' VARs are estimated to determine the importance of oil price impulses on output variations. The study reports two types of results: variance decomposition and impulse response functions, with particular emphasis on the issues of stationarity and co-integration among the series. The empirical results suggest that shocks to oil price are important in explaining output variations. In most cases, shocks to oil price are shown to explain more than 20% of the forecast variance of output over a 40-quarter horizon.

  12. Forecasting future oil production in Norway and the UK: a general improved methodology

    E-Print Network [OSTI]

    Fievet, Lucas; Cauwels, Peter; Sornette, Didier

    2014-01-01T23:59:59.000Z

    We present a new Monte-Carlo methodology to forecast the crude oil production of Norway and the U.K. based on a two-step process, (i) the nonlinear extrapolation of the current/past performances of individual oil fields and (ii) a stochastic model of the frequency of future oil field discoveries. Compared with the standard methodology that tends to underestimate remaining oil reserves, our method gives a better description of future oil production, as validated by our back-tests starting in 2008. Specifically, we predict remaining reserves extractable until 2030 to be 188 +/- 10 million barrels for Norway and 98 +/- 10 million barrels for the UK, which are respectively 45% and 66% above the predictions using the standard methodology.

  13. Investor Flows and the 2008 Boom/Bust in Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    s ) ds S T , S t denotes the price of crude oil S t , C t denotes the convenience yield net of storage costs, E Q t denotes the expectation of market participants under the...

  14. Table 42. Residual Fuel Oil Prices by PAD District and State

    Gasoline and Diesel Fuel Update (EIA)

    45.5 49.2 W W 44.5 45.4 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  15. Table 42. Residual Fuel Oil Prices by PAD District and State

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

    55.1 47.1 W W 55.1 46.2 See footnotes at end of table. 42. Residual Fuel Oil Prices by PAD District and State Energy Information Administration Petroleum...

  16. Biennial Assessment of the Fifth Power Plan Interim Report on Fuel Price Assumptions

    E-Print Network [OSTI]

    . In addition, the delivered price of coal to power plants located in the region will be affected by diesel fuel The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far costs for trains that deliver coal to the plants. Recent higher prices for coal are partially related

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

    E-Print Network [OSTI]

    E. Latõšov; A. Volkova; A. Siirde

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

  18. Naval petroleum reserves: Oil sales procedures and prices at Elk Hills, April through December 1986

    SciTech Connect (OSTI)

    Not Available

    1987-01-01T23:59:59.000Z

    The Elk Hills Naval Petroleum Reserve is located near Bakersfield, California and ranks seventh among domestic producing oil fields. In Feb. 1986 the Department of Energy awarded contracts to 16 companies for the sale of about 82,000 barrels per day of NPR crude oil between April and September 1986. These companies bid a record high average discount of $4.49 from DOE's base price. The discounts ranged from $0.87 to $6.98 per barrel. These contracts resulted in DOE selling Elk Hills oil as low as $3.91 per barrel. Energy stated that the process for selling from NPR had gotten out of step with today's marketplace. Doe subsequently revised its sales procedures which requires bidders to submit a specific price for the oil rather than a discount to a base price. DOE also initiated other efforts designed to avoid future NPR oil sales at less than fair market value.

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

    E-Print Network [OSTI]

    Kogan, Leonid

    2008-01-01T23:59:59.000Z

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

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

    Broader source: Energy.gov [DOE]

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

  1. The Effect of CO2 Pricing on Conventional and Non- Conventional Oil Supply and Demand

    E-Print Network [OSTI]

    Méjean, Aurélie; Hope, Chris

    What would be the effect of CO2 pricing on global oil supply and demand? This paper introduces a model describing the interaction between conventional and non-conventional oil supply in a Hotelling framework and under CO2 constraints. The model...

  2. Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chbre**

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chébre Direction, TOTAL Refining &Marketing, Le Havre, France (e-mail: meriam.chebre@total.com) Abstract-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider

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

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

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

  4. The first oil price explosion 1971-1974

    E-Print Network [OSTI]

    Adelman, Morris Albert

    1990-01-01T23:59:59.000Z

    The 1970 price of Saudi Light crude was $1.21, of which 89 cents was excise tax. By end-1974, the price was about $11, of which 30-50 cents was a fee paid to the former owners, now operators. The detailed history of the ...

  5. Final report of the Rhode Island State Energy Office on residential no. 2 heating oil and propane prices [SHOPP

    SciTech Connect (OSTI)

    McClanahan, Janice

    2001-04-01T23:59:59.000Z

    Summary report on residential No.2 heating oil and propane prepared under grant. Summarizes the monitoring and analysis of heating oil and propane prices from October 2000 through March 2001.

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

    E-Print Network [OSTI]

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

  7. Naval petroleum reserves: Sales procedures and prices received for Elk Hills oil

    SciTech Connect (OSTI)

    Not Available

    1986-01-01T23:59:59.000Z

    The Congress expressed concern about the Department of Energy's actions in selling oil from the Elk Hills Naval Petroleum Reserve at what appeared to be unreasonably low prices. DOE officials believe that Naval Petroleum Reserve oil has been and is currently being produced at the appropriate rate and that no recoverable oil has been lost. This fact sheet provides information on the basis for the procedures followed by DOE in selling Naval Petroleum Reserve oil and sales data for the period extending from October 1985 through April 1986.

  8. Fact Sheet: Gas Prices and Oil Consumption Would Increase Without...

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

    on June 11, 2008 to Senator Jeff Bingaman addressing a number of questions related to biofuels, food, and gasoline and diesel prices. This is a fact sheet on how biofuels are...

  9. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    company data. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." 44 Energy Information AdministrationPetroleum Marketing Annual...

  10. Table 22. Domestic Crude Oil First Purchase Prices for Selected...

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

    company data. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." 44 Energy Information Administration Petroleum Marketing...

  11. The Models of Estimating Oil Shale Flows and Price

    E-Print Network [OSTI]

    Tauno Tammeoja; Aire Västrik

    The fast economical growth of Estonia in past years has set us several questions on sustainability of oil shale mining in Estonia. For how long do the oil shale resources last? What are the mining expenditures in the areas of different mining conditions and how do they change in future? Thus, in

  12. 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. ”

  13. Oil Prices, External Income, and Growth: Lessons from Jordan

    E-Print Network [OSTI]

    Mohaddes, Kamiar; Raissi, Mehdi

    2011-12-08T23:59:59.000Z

    This paper extends the long-run growth model of Esfahani et al. (2009) to a labour exporting country that receives large inflows of external income - the sum of remittances, FDI and general government transfers - from major oil exporting economies...

  14. Forecasting Using Time Varying Meta-Elliptical Distributions with a Study of Commodity Futures Prices

    E-Print Network [OSTI]

    Sancetta, Alessio; Nikanrova, Arina

    2006-03-14T23:59:59.000Z

    that might arise from the roll over of contracts. The commodities studied are crude oil, gas oil (IPE), heating oil, natural gas, propane, un- leaded gas, cocoa, coffee, sugar, orange juice, soybean, corn, rice, oats, wheat and cotton. Assum- ing the data... possess suitable ergodic properties, we report sample summary statistics in Table I. Table I. 15 Table I. Sample Summary Statistics Mean Var Skew Kurt Min 1stQu Median 3rdQu Max CRUDE OIL 0.02 5.18 -0.27 4.07 -16.54 -1.15 0.00 1.29 14.23 GAS OIL (IPE) 0...

  15. U.S. oil production forecast update reflects lower rig count

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Identifying the Oil Price-Macroeconomy Relationship: An Empirical Mode Decomposition Analysis of U.S. Data

    SciTech Connect (OSTI)

    Oladosu, Gbadebo A [ORNL

    2009-01-01T23:59:59.000Z

    This work applies the empirical mode decomposition (EMD) method to data on real quarterly oil price (West Texas Intermediate - WTI) and U.S. gross domestic product (GDP). This relatively new method is adaptive and capable of handling non-linear and non-stationary data. Correlation analysis of the decomposition results was performed and examined for insights into the oil-macroeconomy relationship. Several components of this relationship were identified. However, the principal one is that the medium-run cyclical component of the oil price exerts a negative and exogenous influence on the main cyclical component of the GDP. This can be interpreted as the supply-driven or supply-shock component of the oil price-GDP relationship. In addition, weak correlations suggesting a lagging demand-driven, an expectations-driven, and a long-run supply-driven component of the relationship were also identified. Comparisons of these findings with significant oil supply disruption and recession dates were supportive. The study identified a number of lessons applicable to recent oil market events, including the eventuality of persistent economic and price declines following a long oil price run-up. In addition, it was found that oil-market related exogenous events are associated with short- to medium-run price implications regardless of whether they lead to actual supply disruptions.

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

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

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

  18. The macroeconomic effects of oil price shocks : why are the 2000s so different from the 1920s?

    E-Print Network [OSTI]

    Blanchard, Olivier

    2007-01-01T23:59:59.000Z

    We characterize the macroeconomic performance of a set of industrialized economies in the aftermath of the oil price shocks of the 1970s and of the last decade, focusing on the differences across episodes. We examine four ...

  19. Oil and natural gas reserve prices : addendum to CEEPR WP 03-016 ; including results for 2003 revisions to 2001

    E-Print Network [OSTI]

    Adelman, Morris Albert

    2005-01-01T23:59:59.000Z

    Introduction. A working paper entitled "Oil and Natural Gas Reserve Prices 1982-2002: Implications for Depletion and Investment Cost" was published in October 2003 (cited hereafter as Adelman & Watkins [2003]). Since then ...

  20. 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

  1. Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per

    E-Print Network [OSTI]

    Phillips, David

    Sunco Oil manufactures three types of gasoline (gas 1, gas 2 and gas 3). Each type is produced by blending three types of crude oil (crude 1, crude 2 and crude 3). The sales price per barrel of gasoline and the purchase price per barrel of crude oil are given in following table: Gasoline Sale Price per barrel Gas 1

  2. Trajectory Forecast as a Rapid Response to the Deepwater Horizon Oil Spill Yonggang Liu, Robert H. Weisberg, Chuanmin Hu, and Lianyuan Zheng

    E-Print Network [OSTI]

    Meyers, Steven D.

    offshore oil spill in U.S. history. This spill, which continued for 3 months, presented an unprecedented spills in many ways. Crude oil was introduced at the ocean bottom in 1500 m of water, a depthTrajectory Forecast as a Rapid Response to the Deepwater Horizon Oil Spill Yonggang Liu, Robert H

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

    SciTech Connect (OSTI)

    Moriarty, C.

    1996-05-01T23:59:59.000Z

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

  4. Extreme wave events during hurricanes can seriously jeopardize the integrity and safety of offshore oil and gas operations in the Gulf of Mexico. Validation of wave forecast for

    E-Print Network [OSTI]

    oil and gas operations in the Gulf of Mexico. Validation of wave forecast for significant wave heights of Mexico. Before the storm, it produced 148,000 barrels of oil equivalent per day and 160 million cubic over the warm Gulf of Mexico water between 26 and 28 August, and became a category 5 hurricane by 1200

  5. Low oil prices cut less into U.S. oil production

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High naturalProsperityNatural GasLow oil

  6. Lower oil prices also cutting winter heating oil and propane bills

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:DeploymentSite Name:24,High naturalProsperityNaturalLower oil

  7. Dynamics of the Oil Transition: Modeling Capacity, Costs, and Emissions

    E-Print Network [OSTI]

    Brandt, Adam R.; Farrell, Alexander E.

    2008-01-01T23:59:59.000Z

    response to high oil prices and geopolitical threats tofor the e?ect of the oil price through the price elasticityprojections, corresponding oil price series are extracted

  8. State heating oil and propane program: Final report. Survey of No.2 heating oil and propane prices at the retail level, October 1997 through March 1998

    SciTech Connect (OSTI)

    NONE

    1998-11-01T23:59:59.000Z

    The Energy Efficiency Division of the Vermont Department of Public Service (DPS) monitored the price and inventory of residential heating oil and propane during the 1997--98 heating season under a grant from the US Department of Energy`s Energy Information Administration (EIA). DPS staff collected data biweekly between October 5, 1997 and March 16, 1998 on the retail price of {number_sign}2 home heating oil and propane by telephone survey. Propane price quoted was based on the rate for a residential home heating customer using 1,000+ per year. The survey included a sample of fuel dealers selected by the EIA, plus additional dealers and fuels selected by the DPS. The EIA weighted, analyzed, and reported the data collected from their sample.

  9. FORECASTING THE ROLE OF RENEWABLES IN HAWAII

    E-Print Network [OSTI]

    Sathaye, Jayant

    2013-01-01T23:59:59.000Z

    of a range of world oil prices for future energy demand andTo examine the ef feet of oil prices on energy demand andprojections of world oil prices. Th and demand. determined

  10. Energy Prices and California's Economic

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

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

  11. A B S T R A C T Nowadays, forecasting on what will happen in economic

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    role for managers to invest correctly on appropriate items. We showed that in PET market how a neuro-fuzzy hybrid model can assist the managers in decision-making [13]. In this research, the target is to forecast industries and it is highly sensitive against oil price fluctuations and also some other factors

  12. The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    as on how short-term mechanisms ­ and policy action ­ can smooth the negative impacts of energy price shocks1 The Resilience of the Indian Economy to Rising Oil Prices as a Validation Test for a Global Energy-Environment-Economy CGE Model Céline Guivarcha, * , Stéphane Hallegattea,b , Renaud Crassousa

  13. 1993 Pacific Northwest Loads and Resources Study, Pacific Northwest Economic and Electricity Use Forecast, Technical Appendix: Volume 1.

    SciTech Connect (OSTI)

    United States. Bonneville Power Administration.

    1994-02-01T23:59:59.000Z

    This publication documents the load forecast scenarios and assumptions used to prepare BPA`s Whitebook. It is divided into: intoduction, summary of 1993 Whitebook electricity demand forecast, conservation in the load forecast, projection of medium case electricity sales and underlying drivers, residential sector forecast, commercial sector forecast, industrial sector forecast, non-DSI industrial forecast, direct service industry forecast, and irrigation forecast. Four appendices are included: long-term forecasts, LTOUT forecast, rates and fuel price forecasts, and forecast ranges-calculations.

  14. EIA: High Oil Prices, GHG Controls Would Help Clean Energy Grow...

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

    45 gallons of petroleum products. Source: Energy Information Administration, "Oil: Crude Oil and Petroleum Products Explained" and Annual Energy Outlook 2009 (Updated February...

  15. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

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

  17. U.S. Crude Oil Production Forecast-Analysis of Crude Types

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are nowTotal" (Percent) Type: Sulfur Content API GravityDakota" "Fuel, quality",Area: U.S. East Coast (PADD 1) New England (PADD 1A)20,798 18,578 17,508Forecast-

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

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    capita terms. When crude oil prices are used, these are theprices are driven by oil prices, moreover, and oil isby ‡uctuations in the crude oil price. The overall mean real

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Emissions Surcharge Revenues Oil Price Price elas= -0.1 elasEmissions Surcharge Revenues Oil Price Price elas= -0.1 elasotherwise result if oil prices remain at current levels. . o

  1. Michigan residential No. 2 fuel oil and propane price survey for the 1990/91 heating season. Final report

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    This report summarizes the results of a survey of home heating oil and propane prices over the 1990/1991 heating season in Michigan. The survey was conducted under a cooperative agreement between the State of Michigan, Michigan Public Service Commission and the US Department of Energy (DOE), Energy Information Administration (EIA), and was funded by a grant from EIA. From October 1990 through May 1991, participating dealers/distributions were called and asked for their current residential retail prices of No. 2 home heating oil and propane. This information was then transmitted to the EIA, bi-monthly using an electronic reporting system called Petroleum Data Reporting Option (PEDRO). The survey was conducted using a sample provided by EIA of home heating oil and propane retailers which supply Michigan households. These retailers were contacted the first and third Mondays of each month. The sample was designed to account for distributors with different sales volumes, geographic distributions and sources of primary supply. It should be noted that this simple is different from the sample used in prior year surveys.

  2. Michigan residential No. 2 fuel oil and propane price survey for the 1990/91 heating season

    SciTech Connect (OSTI)

    Not Available

    1991-10-01T23:59:59.000Z

    This report summarizes the results of a survey of home heating oil and propane prices over the 1990/1991 heating season in Michigan. The survey was conducted under a cooperative agreement between the State of Michigan, Michigan Public Service Commission and the US Department of Energy (DOE), Energy Information Administration (EIA), and was funded by a grant from EIA. From October 1990 through May 1991, participating dealers/distributions were called and asked for their current residential retail prices of No. 2 home heating oil and propane. This information was then transmitted to the EIA, bi-monthly using an electronic reporting system called Petroleum Data Reporting Option (PEDRO). The survey was conducted using a sample provided by EIA of home heating oil and propane retailers which supply Michigan households. These retailers were contacted the first and third Mondays of each month. The sample was designed to account for distributors with different sales volumes, geographic distributions and sources of primary supply. It should be noted that this simple is different from the sample used in prior year surveys.

  3. Navy Mobility Fuels Forecasting System. Phase I report

    SciTech Connect (OSTI)

    Davis, R.M.; Hadder, G.R.; Singh, S.P.N.; Whittle, C.

    1985-07-01T23:59:59.000Z

    The Department of the Navy (DON) requires an improved capability to forecast mobility fuel availability and quality. The changing patterns in fuel availability and quality are important in planning the Navy's Mobility Fuels R and D Program. These changes come about primarily because of the decline in the quality of crude oil entering world markets as well as the shifts in refinery capabilities domestically and worldwide. The DON requested ORNL's assistance in assembling and testing a methodology for forecasting mobility fuel trends. ORNL reviewed and analyzed domestic and world oil reserve estimates, production and price trends, and recent refinery trends. Three publicly available models developed by the Department of Energy were selected as the basis of the Navy Mobility Fuels Forecasting System. The system was used to analyze the availability and quality of jet fuel (JP-5) that could be produced on the West Coast of the United States under an illustrative business-as-usual and a world oil disruption scenario in 1990. Various strategies were investigated for replacing the lost JP-5 production. This exercise, which was strictly a test case for the forecasting system, suggested that full recovery of lost fuel production could be achieved by relaxing the smoke point specifications or by increasing the refiners' gate price for the jet fuel. A more complete analysis of military mobility fuel trends is currently under way.

  4. Issues in midterm analysis and forecasting 1998

    SciTech Connect (OSTI)

    NONE

    1998-07-01T23:59:59.000Z

    Issues in Midterm Analysis and Forecasting 1998 (Issues) presents a series of nine papers covering topics in analysis and modeling that underlie the Annual Energy Outlook 1998 (AEO98), as well as other significant issues in midterm energy markets. AEO98, DOE/EIA-0383(98), published in December 1997, presents national forecasts of energy production, demand, imports, and prices through the year 2020 for five cases -- a reference case and four additional cases that assume higher and lower economic growth and higher and lower world oil prices than in the reference case. The forecasts were prepared by the Energy Information Administration (EIA), using EIA`s National Energy Modeling System (NEMS). The papers included in Issues describe underlying analyses for the projections in AEO98 and the forthcoming Annual Energy Outlook 1999 and for other products of EIA`s Office of Integrated Analysis and Forecasting. Their purpose is to provide public access to analytical work done in preparation for the midterm projections and other unpublished analyses. Specific topics were chosen for their relevance to current energy issues or to highlight modeling activities in NEMS. 59 figs., 44 tabs.

  5. A B S T R A C T Forecasting in a risky situation is a very important

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    to assist in decision making. One of the fluctuated markets in stock exchange market is chemical market for textile industries and its very sensitive on oil prices and the demand and supply ratio. The main idea the model forecasts a relevant trend and can be used as a DSS for a manager. KEYWORDS: Efficient Market

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

    SciTech Connect (OSTI)

    Not Available

    1988-12-30T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Davis, Lucas; Muehlegger, Erich

    2009-01-01T23:59:59.000Z

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

  8. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  9. International Oil Supplies and Demands

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world's dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group's thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  10. Navy Mobility Fuels Forecasting System Phase 4 report

    SciTech Connect (OSTI)

    Das, S.; Hadder, G.R.; Leiby, P.N.; Lee, R.; Davis, R.M.

    1988-09-01T23:59:59.000Z

    The Department of Navy's Maritime Strategy is designed to maintain military readiness and the ability to operate in all major theaters of the world. Mobility fuels required for sea, air, and land operations are vital components of the Navy's peacetime and wartime strategies. The purpose of the Navy's Mobility Fuels Technology Program is to understand fuel supply and fuel property impacts on Navy equipment performance and fleet readiness and operations. Oak Ridge National Laboratory (ORNL) has assisted the Department of Navy in developing and testing a methodology for forecasting mobility fuel availability, quality, and relative price, as well as evaluating options to increase fuel supplies during world oil supply disruptions. Publicly available models developed by the Energy Information Administration of the Department of Energy were selected as the foundation of the Navy Mobility Fuels Forecasting System (NMFFS). The NMFFS was enhanced as ORNL reviewed data on world oil reserves, production and prices, trends in crude oil and refined product quality, and changes in refinery process technology. The system was used to analyze the availability, quality, and relative price of military fuels that could be produced in several domestic and foreign refining regions under Business-As-Usual (BAU) and two hypothetical world crude oil disruption scenarios in the year 1995. 25 refs., 11 figs., 29 tabs.

  11. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    data reported. Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information Administration Petroleum Marketing Annual...

  12. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    12.17 12.80 Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information AdministrationPetroleum Marketing Annual...

  13. Table 23. Domestic Crude Oil First Purchase Prices by API Gravity

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

    17.18 17.64 Source: Energy Information Administration, Form EIA-182, "Domestic Crude Oil First Purchase Report." Energy Information AdministrationPetroleum Marketing Annual...

  14. The Russian Economy: Do Sanctions and Low Oil Prices Constrain Putin's Foreign Policy? 

    E-Print Network [OSTI]

    Paul, Gregory

    2015-04-22T23:59:59.000Z

    and politics of the region. Future pipeline projects – such as the Nabucco pipeline – are highly controversial, and Russia’s efforts to control oil and gas supplies in the region have recently intensified. Russia has gained increased influence in its...

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Gasoline and Crude Oil Prices, 2000-2006 Figure I:Weekly Gasoline and Crude Oil Prices for 2001- 2006 Crudeargue that increases in oil prices may lead to recessions

  16. Livestock Seasonal Price Variation

    E-Print Network [OSTI]

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

    1999-09-21T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Wiser, Ryan; Bolinger, Mark

    2004-10-01T23:59:59.000Z

    The benefits of the Department of Energy's research and development (R&D) efforts have historically been estimated under business-as-usual market and policy conditions. In recognition of the insurance value of R&D, however, the Office of Energy Efficiency and Renewable Energy (EERE) and the Office of Fossil Energy (FE) have been exploring options for evaluating the benefits of their R&D programs under an array of alternative futures. More specifically, an FE-EERE Scenarios Working Group (the Working Group) has proposed to EERE and FE staff the application of an initial set of three scenarios for use in the Working Group's upcoming analyses: (1) a Reference Case Scenario, (2) a High Fuel Price Scenario, which includes heightened natural gas and oil prices, and (3) a Carbon Cap-and-Trade Scenario. The immediate goal is to use these scenarios to conduct a pilot analysis of the benefits of EERE and FE R&D efforts. In this report, the two alternative scenarios being considered by EERE and FE staff--carbon cap-and-trade and high fuel prices--are compared to other scenarios used by energy analysts and utility planners. The report also briefly evaluates the past accuracy of fossil fuel price forecasts. We find that the natural gas prices through 2025 proposed in the FE-EERE Scenarios Working Group's High Fuel Price Scenario appear to be reasonable based on current natural gas prices and other externally generated gas price forecasts and scenarios. If anything, an even more extreme gas price scenario might be considered. The price escalation from 2025 to 2050 within the proposed High Fuel Price Scenario is harder to evaluate, primarily because few existing forecasts or scenarios extend beyond 2025, but, at first blush, it also appears reasonable. Similarly, we find that the oil prices originally proposed by the Working Group in the High Fuel Price Scenario appear to be reasonable, if not conservative, based on: (1) the current forward market for oil, (2) current oil prices, (3) externally generated oil price forecasts, and (4) the historical difficulty in accurately forecasting oil prices. Overall, a spread between the FE-EERE High Oil Price and Reference scenarios of well over $8/bbl is supported by the literature. We conclude that a wide range of carbon regulation scenarios are possible, especially within the time frame considered by EERE and FE (through 2050). The Working Group's Carbon Cap-and-Trade Scenario is found to be less aggressive than many Kyoto-style targets that have been analyzed, and similar in magnitude to the proposed Climate Stewardship Act. The proposed scenario is more aggressive than some other scenarios found in the literature, however, and ignores carbon banking and offsets and does not allow nuclear power to expand. We are therefore somewhat concerned that the stringency of the proposed carbon regulation scenario in the 2010 to 2025 period will lead to a particularly high estimated cost of carbon reduction. As described in more detail later, we encourage some flexibility in the Working Group's ultimate implementation of the Carbon Cap-and-Trade Scenario. We conclude by identifying additional scenarios that might be considered in future analyses, describing a concern with the proposed specification of the High Fuel Price Scenario, and highlighting the possible difficulty of implementing extreme scenarios with current energy modeling tools.

  18. TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY

    E-Print Network [OSTI]

    has developed longterm forecasts of transportation energy demand as well as projected ranges of transportation fuel and crude oil import requirements. The transportation energy demand forecasts makeCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY

  19. The effect of biofuel on the international oil market

    E-Print Network [OSTI]

    Hochman, Gal; Rajagopal, Deepak; Zilberman, David D.

    2010-01-01T23:59:59.000Z

    energy security and high oil prices, as well as greenhousetransaction costs, the oil prices in H equal the prices inat times when crude oil prices surged during 2002 to 2006 (

  20. FORECASTING THE ROLE OF RENEWABLES IN HAWAII

    E-Print Network [OSTI]

    Sathaye, Jayant

    2013-01-01T23:59:59.000Z

    Av:l.at:i.on Fuel Total Oil Demand 0:!.1 Demand w:t thoutSince electric:! ty prices oil prices, the demand for will :the ef feet of oil prices on energy demand and supply, \\ve

  1. International Oil Supplies and Demands. Volume 2

    SciTech Connect (OSTI)

    Not Available

    1992-04-01T23:59:59.000Z

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--1990 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  2. International Oil Supplies and Demands. Volume 1

    SciTech Connect (OSTI)

    Not Available

    1991-09-01T23:59:59.000Z

    The eleventh Energy Modeling Forum (EMF) working group met four times over the 1989--90 period to compare alternative perspectives on international oil supplies and demands through 2010 and to discuss how alternative supply and demand trends influence the world`s dependence upon Middle Eastern oil. Proprietors of eleven economic models of the world oil market used their respective models to simulate a dozen scenarios using standardized assumptions. From its inception, the study was not designed to focus on the short-run impacts of disruptions on oil markets. Nor did the working group attempt to provide a forecast or just a single view of the likely future path for oil prices. The model results guided the group`s thinking about many important longer-run market relationships and helped to identify differences of opinion about future oil supplies, demands, and dependence.

  3. THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION

    E-Print Network [OSTI]

    Rothman, Daniel

    This draft: April 9, 2013 Abstract The price of crude oil in the U.S. never exceeded $40 per barrel until mid. Joseph Kennedy II, New York Times, April, 10, 2012. 1 Introduction. The price of crude oil in the U.S price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our

  4. 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

  5. United States Department of Energy New Jersey Department of Environmental Protection and Energy. 1991--1992 Heating Oil and Propane Price Monitoring Program

    SciTech Connect (OSTI)

    NONE

    1998-12-31T23:59:59.000Z

    In cooperation with the United States Department of Energy (USDOE), Energy Information Administration (EIA) the New Jersey Department of Environmental Protection and Energy (DEPE), Office of Energy participated in a program to monitor retail prices of no. 2 heating oil and propane in New Jersey. According to program instructions, we conducted price surveys on a semi-monthly basis to obtain the necessary information from retail fuel merchants and propane dealers identified by the EIA. The period of the surveys was October 7, 1991 to March 16 1992. We submitted data collected as of specified reference dates to the EIA, within two working days of those dates.

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    and Weimer, D.L. (1984) Oil prices shock, market response,OPEC behavior and world oil prices (pp. 175-185) London:many decades. Recent high oil prices have caused oil-holding

  7. Price forecasting for notebook computers

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    1997-01-01T23:59:59.000Z

    life cycle of a notebook. Since all data are publicly available, this approach can be used to assist managerial decision making in the notebook computer industry, for example, in determining when and how to upgrade a model and when to introduce a new...

  8. 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 ...

  9. OIL SHALE DEVELOPMENT IN CHINA

    E-Print Network [OSTI]

    J. Qian; J. Wang; S. Li

    In this paper history, current status and forecast of Chinese oil shale indus-try, as well as the characteristics of some typical Chinese oil shales are given.

  10. Distribution Based Data Filtering for Financial Time Series Forecasting

    E-Print Network [OSTI]

    Bailey, James

    recent past. In this paper, we address the challenge of forecasting the behavior of time series using@unimelb.edu.au Abstract. Changes in the distribution of financial time series, particularly stock market prices, can of stock prices, which aims to forecast the future values of the price of a stock, in order to obtain

  11. 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

  12. CANNED FISH RETAIL PRICES

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    de Janvry, Alain; Sadoulet, Eliisabeth

    2009-01-01T23:59:59.000Z

    that these cereal and oil price increases of 28 to 52% wouldthe large increase in oil prices, leaving them with only aprices and 2.2% from the oil price increase. Poor people

  14. Residential Sector End-Use Forecasting with EPRI-REEPS 2.1: Summary Input Assumptions and Results

    E-Print Network [OSTI]

    Koomey, Jonathan G.

    2010-01-01T23:59:59.000Z

    Description Prices for oil, gas, electricity, liquidElectric Electric Electric Gas Oil Electric ElectricElectric Gas Electric Gas Oil Electric Electric Gas Oil

  15. Cost, Conflict and Climate: U.S. Challenges in the World Oil Market

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    at the world price of oil and prices of gasoline and otherincremental pro?ts when oil prices rise come from both U.S.the recent increases in oil prices and attempts to clarify

  16. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    on the price of home heating oil may also be obtained byincluding kerosene, home heating oil, range oil, stove oil,to most marketers of home heating oil. Consequently, during

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    oil price, the expected retail gasoline price and consumption quantities are shown using a short-run demand elasticity assumption

  18. Crude Existence: The Politics of Oil in Northern Angola

    E-Print Network [OSTI]

    Reed, Kristin

    2009-01-01T23:59:59.000Z

    tion. A drop in world oil prices, coupled with a decrease indisbursements declined and oil prices dropped sharply inThe drastic drop in oil prices and further agricultural

  19. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    World Stocks Sag as Oil Price Surges. ” The New York Times,Second, the increase in oil prices may make Russia moreof action. Nevertheless, oil prices still have a significant

  20. Dynamic analysis in productivity, oil shock, and recession

    E-Print Network [OSTI]

    Katayama, Munechika

    2008-01-01T23:59:59.000Z

    Declining E?ects of Oil-price Shocks . . . . . . . . . . .of IRFs to a 10% Increase in the Oil Price: Case 3 and Caseof IRFs to a 10% Increase in the Oil Price: Before and After

  1. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    World Stocks Sag as Oil Price Surges. ” The New York Times,World Stocks Sag as Oil Price Surges,” N.Y. Times, June 28,Second, the increase in oil prices may make Russia more

  2. Oil

    E-Print Network [OSTI]

    unknown authors

    Waste oils offer a tremendous recycling potential. An important, dwindling natural resource of great economic and industrial value, oil products are a cornerstone of our modern industrial society. Petroleum is processed into a wide variety of products: gasoline, fuel oil, diesel oil, synthetic rubber, solvents, pesticides, synthetic fibres, lubricating oil, drugs and many more ' (see Figure 1 1. The boilers of Amercian industries presently consume about 40 % of the used lubricating oils collected. In Ontario, the percentage varies from 20 to 30%. Road oiling is the other major use of collected waste oils. Five to seven million gallons (50-70 % of the waste oil col1ected)is spread on dusty Ontario roads each summer. The practice is both a wasteful use of a dwindling resource and an environmental hazard. The waste oil, with its load of heavy metals, particularly lead, additives including dangerous polynuclear aromatics and PCBs, is carried into the natural environment by runoff and dust to contaminate soils and water courses.2 The largest portion of used oils is never collected, but disappears into sewers, landfill sites and backyards. In Ontario alone, approximately 22 million gallons of potentially recyclable lube oil simply vanish each year. While oil recycling has ad-114 Oil

  3. 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.

  4. Stretched Exponential Decline Model as a Probabilistic and Deterministic Tool for Production Forecasting and Reserve Estimation in Oil and Gas Shales

    E-Print Network [OSTI]

    Akbarnejad Nesheli, Babak

    2012-07-16T23:59:59.000Z

    stabilized production forecast than traditional DCA models and in this work it is shown that it produces unchanging EUR forecasts after only two-three years of production data are available in selected reservoirs, notably the Barnett Shale...

  5. Three Essays on Energy Economics and Forecasting

    E-Print Network [OSTI]

    Shin, Yoon Sung

    2012-02-14T23:59:59.000Z

    rarely respond to changes of crude oil prices for the first five days. Based on collusive behaviors of retailers, this price asymmetry in Korea diesel market is explained. The second essay aims to evaluate the new incentive system for biodiesel...

  6. China's Global Oil Strategy

    E-Print Network [OSTI]

    Thomas, Bryan G

    2009-01-01T23:59:59.000Z

    nations began to seek out oil reserves around the world. 3on the limited global oil reserves and spiking prices. Manyto the largest proven oil reserves, making up 61 percent of

  7. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    Energy Information Administration, “World Petroleum Consumption,Energy Information Administration, “World Petroleum Consumption,

  8. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    annual production from Cantarell complex in Mexico. Data foryear since 2002. Mexico’s Cantarell complex, second only tothe North Sea, Mexico’s Cantarell, and China’s Daqing. North

  9. Oil Price Volatility

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghurajiConventionalMississippi"site. IfProved(Million Barrels)21 4.65per9 0

  10. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  11. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  12. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  13. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View History

  14. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View

  15. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40CoalLease(Billion2,128 2,469Decade Year-0 Year-1 Year-2(Million 2014 View1997

  16. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office of Coal, Nuclear, ElectricSales (Million CubicThousandTobago0 0 0 0 0 0

  17. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential heating oil price

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Essays in International Macroeconomics and Forecasting

    E-Print Network [OSTI]

    Bejarano Rojas, Jesus Antonio

    2012-10-19T23:59:59.000Z

    This dissertation contains three essays in international macroeconomics and financial time series forecasting. In the first essay, I show, numerically, that a two-country New-Keynesian Sticky Prices model, driven by monetary and productivity shocks...

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    oil price projections from the Energy Information Administration (FOB, through 2030; EIA, 2007) to historicalof oil, or the market price less shipping costs. Historical

  2. Effect of Energy Efficiency Standards on Natural Gas Prices

    E-Print Network [OSTI]

    Carnall, Michael

    2012-01-01T23:59:59.000Z

    Natural Gas Wellhead Price That is not to say that expected revenues are easily forecast.natural gas over the last fifty years. Obviously, investment decisions based on forecast

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

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

  4. Dynamics of the Oil Transition: Modeling Capacity, Costs, and Emissions

    E-Print Network [OSTI]

    Brandt, Adam R.; Farrell, Alexander E.

    2008-01-01T23:59:59.000Z

    based on projections of future prices and future demand.with demand projections, corresponding oil price series areoil price path associated with the IMAGE demand projection

  5. Managing Wind Power Forecast Uncertainty in Electric Brandon Keith Mauch

    E-Print Network [OSTI]

    i Managing Wind Power Forecast Uncertainty in Electric Grids Brandon Keith Mauch Co for the modeled wind- CAES system would not cover annualized capital costs. We also estimate market prices-ahead market is roughly $100, with large variability due to electric power prices. Wind power forecast errors

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

    E-Print Network [OSTI]

    Bolinger, Mark A

    2009-01-01T23:59:59.000Z

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

  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. TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY

    E-Print Network [OSTI]

    requirements. The transportation energy demand forecasts make assumptions about fuel price forecastsCALIFORNIA ENERGY COMMISSION TRANSPORTATION ENERGY FORECASTS FOR THE 2007 INTEGRATED ENERGY POLICY ENERGY COMMISSION Gordon Schremp, Jim Page, and Malachi Weng-Gutierrez Principal Authors Jim Page Project

  9. Oil and Gas CDT Development of a SUNTANS Baroclinic Model for 3D Oil

    E-Print Network [OSTI]

    Henderson, Gideon

    Oil and Gas CDT Development of a SUNTANS Baroclinic Model for 3D Oil Pollution Tracking Heriot) Key Words Oil Spill, HF Radar, Trajectory Forecasting, Hydrodynamic Modelling, Oil Chemistry Overview In an oil spill emergency, an operational system must forecast ocean and weather conditions in addition

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  11. Peaking of world oil production: Impacts, mitigation, & risk management

    SciTech Connect (OSTI)

    Hirsch, R.L. (SAIC); Bezdek, Roger (MISI); Wendling, Robert (MISI)

    2005-02-01T23:59:59.000Z

    The peaking of world oil production presents the U.S. and the world with an unprecedented risk management problem. As peaking is approached, liquid fuel prices and price volatility will increase dramatically, and, without timely mitigation, the economic, social, and political costs will be unprecedented. Viable mitigation options exist on both the supply and demand sides, but to have substantial impact, they must be initiated more than a decade in advance of peaking.... The purpose of this analysis was to identify the critical issues surrounding the occurrence and mitigation of world oil production peaking. We simplified many of the complexities in an effort to provide a transparent analysis. Nevertheless, our study is neither simple nor brief. We recognize that when oil prices escalate dramatically, there will be demand and economic impacts that will alter our simplified assumptions. Consideration of those feedbacks will be a daunting task but one that should be undertaken. Our aim in this study is to-- • Summarize the difficulties of oil production forecasting; • Identify the fundamentals that show why world oil production peaking is such a unique challenge; • Show why mitigation will take a decade or more of intense effort; • Examine the potential economic effects of oil peaking; • Describe what might be accomplished under three example mitigation scenarios. • Stimulate serious discussion of the problem, suggest more definitive studies, and engender interest in timely action to mitigate its impacts.

  12. IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING (TO APPEAR, 2014) 1 Electricity Market Forecasting

    E-Print Network [OSTI]

    Giannakis, Georgios

    to spatially-varying energy prices, known as locational marginal prices (LMPs) [24], [17]. Schemes inference. Day-ahead price forecast- ing is cast as a low-rank kernel learning problem. Uniquely exploiting- temporally varying prices. Through a novel nuclear norm-based regularization, kernels across pricing nodes

  13. UHERO FORECAST PROJECT DECEMBER 5, 2014

    E-Print Network [OSTI]

    primary export market, which will more than offset the negative effect of lower oil prices. · Outside the first one prompted contraction. Lower oil prices will be an overall plus for the global economy, even months have seen a rebound in production and steady improvement in the labor market. Forward

  14. US military expenditures to protect the use of Persian Gulf oil for motor vehicles

    E-Print Network [OSTI]

    Delucchi, Mark; Murphy, James

    2008-01-01T23:59:59.000Z

    Montgomery, W.D. , 1982. Oil Prices, Energy Security, andPaik, I.K. , 2004. Oil price shocks and the macroeconomy:the United States from Oil Price Shocks? CRS 91-438E.

  15. The Recent Metals Price Retreat: So Long Super Cycle?

    E-Print Network [OSTI]

    to get some perspective on whether current metal prices are `high' or `low' by historical standards/Haver Analytics. Gold (London PM fixing) Crude Oil (WTI) #12;CRBMetals Price Index KR-CRB Spot Commodity Price.0 1.6 1.2 0.8 0.4 0.0 2.4 2.0 1.6 1.2 0.8 0.4 0.0 #12;Crude Oil Price (WTI) Spot Oil Price: West Texas

  16. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kim, Eun Hie

    2009-01-01T23:59:59.000Z

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

  18. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    Julia. “ World Stocks Sag as Oil Price Surges. ” The NewCollapse: Grain and Oil,” On the Issues, Am. Enterpriseet. al. , “Unrelenting Oil Addiction,” Russ. in Global

  19. 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...

  20. 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...

  1. 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

  2. Documentation of the oil and gas supply module (OGSM)

    SciTech Connect (OSTI)

    NONE

    1996-01-01T23:59:59.000Z

    The purpose of this report is to define the objectives of the Oil and Gas Supply Model (OGSK, to describe the model`s basic approach, and to provide detail on how the model works. This report is intended as a reference document for model analysts, users, and the public. It is prepared in accordance with the Energy Information Administration`s (EIA) legal obligation to provide adequate documentation in support of its statistical and forecast reports (Public Law 93-275, Section 57(b)(2). OGSM is a comprehensive framework with which to analyze oil and gas supply potential and related issues. Its primary function is to produce forecast of crude oil, natural gas production, and natural gas imports and exports in response to price data received endogenously (within NEMS) from the Natural Gas Transmission and Distribution Model (NGTDM) and the Petroleum Market Model (PMM). To accomplish this task, OGSM does not provide production forecasts per se, but rather parameteres for short-term domestic oil and gas production functions and natural gas import functions that reside in PMM and NGTDM.

  3. Oil prices spike to over barreland price

    E-Print Network [OSTI]

    installs waste heat recovery plant, adding19 MWofpower withoutburningasingledropof additionaloil VIEO Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDIN of new, distributed solar and wind USVI provides leadership to CarbonWar Room's 10 Island Challenge

  4. Recently released EIA report presents international forecasting data

    SciTech Connect (OSTI)

    NONE

    1995-05-01T23:59:59.000Z

    This report presents information from the Energy Information Administration (EIA). Articles are included on international energy forecasting data, data on the use of home appliances, gasoline prices, household energy use, and EIA information products and dissemination avenues.

  5. Dispersion in analysts' forecasts: does it make a difference? 

    E-Print Network [OSTI]

    Adut, Davit

    2004-09-30T23:59:59.000Z

    Financial analysts are an important group of information intermediaries in the capital markets. Their reports, including both earnings forecasts and stock recommendations, are widely transmitted and have a significant impact on stock prices (Womack...

  6. Dispersion in analysts' forecasts: does it make a difference?

    E-Print Network [OSTI]

    Adut, Davit

    2004-09-30T23:59:59.000Z

    Financial analysts are an important group of information intermediaries in the capital markets. Their reports, including both earnings forecasts and stock recommendations, are widely transmitted and have a significant impact on stock prices (Womack...

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    economic slowdown cuts oil demand. At the intersection ofoil price, the expected retail gasoline price and consumption quantities are shown using a short-run demand

  8. Modest carbon price could save Borneo forests: study Reuters, 4 June 2009 -Tropical forests in Borneo under threat of conversion to palm oil

    E-Print Network [OSTI]

    in Borneo under threat of conversion to palm oil plantations could be more profitable left standing threat of being converted to oil palm plantations. "They are not meant to be clearing forest for palm oil development. It's pretty clear that forests are being felled for oil palm," said Venter, a conservation

  9. EIA lowers forecast for summer gasoline prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells, Wisconsin:Deployment ActivitiesAgeDieselDieselJanuary 12,

  10. A New Method for History Matching and Forecasting Shale Gas/Oil Reservoir Production Performance with Dual and Triple Porosity Models

    E-Print Network [OSTI]

    Samandarli, Orkhan

    2012-10-19T23:59:59.000Z

    Different methods have been proposed for history matching production of shale gas/oil wells which are drilled horizontally and usually hydraulically fractured with multiple stages. These methods are simulation, analytical models, and empirical...

  11. Gasoline price data systems

    SciTech Connect (OSTI)

    Not Available

    1980-05-01T23:59:59.000Z

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

  12. Demand for gasoline is more price-inelastic than commonly thought

    E-Print Network [OSTI]

    Havranek, Tomas; Irsova, Zuzana; Janda, Karel

    2011-01-01T23:59:59.000Z

    demand and distillate fuel oil demand. ” Energy Economics 7(demand and consumer price expectations: An empirical investigation of the consequences from the recent oil

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    Oil Production The production of crude oil can generally beNorth Slope crude, Q it is the oil production per perioddiscoveries, production, costs, and prices of crude oil. ”

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

    E-Print Network [OSTI]

    Huo, Xiaoming

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

  15. 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

  16. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential propane prices available

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential propane prices decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

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

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Routh, Kari 1988-

    2012-11-27T23:59:59.000Z

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

  4. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

    and forecasting of solar radiation data: a review,”forecasting of solar- radiation data,” Solar Energy, vol.sequences of global solar radiation data for isolated sites:

  5. Heating Oil and Propane Update - Energy Information Administration

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

    Petroleum Reports Heating Oil and Propane Update Weekly heating oil and propane prices are only collected during the heating season, which extends from October through March....

  6. Residential HVAC Data, Assumptions and Methodology for End-Use Forecasting with EPRI-REEPS 2.1

    E-Print Network [OSTI]

    Johnson, F.X.

    2010-01-01T23:59:59.000Z

    E3c: Gas Boilers Installed Price by Size and Efficiency AFUEE3b: Gas Boiler Installed Price by Efficiency Figure E-3a:E.4c: Oil Boiler Installed Price by Size and Efficiency AFUE

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

    E-Print Network [OSTI]

    Garfunkel, Eric

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

  8. Navy mobility fuels forecasting system. Phase II, report

    SciTech Connect (OSTI)

    Hadder, G.R.; Vineyard, T.A.; Das, S.; Lee, R.

    1986-06-01T23:59:59.000Z

    The Department of the Navy (DON) requires an improved capability to forecast mobility fuel availability and quality. The changing patterns in fuel availability and quality are important in planning the Navy's fuel use strategy and the Mobility Fuels Technology Program. Until recently, there has been a long-term decline in the quality of crude oil entering world markets and a shift in refinery capacities domestically and worldwide. Three publicly available models developed by the Energy Information Administration of the Department of Energy were selected as the basis of the Navy Mobility Fuels Forecasting System (NMFFS). The system was used to analyze the availability and quality of jet fuel (JP-5) and diesel fuel (F-76) that could be produced in several domestic and foreign refinery regions under business-as-usual and four hypothetical world crude oil disruption scenarios in 1990. The results from the study indicate that jet fuel availability could be reduced in some refinery regions under the disruptions studied. Various strategies were investigated for increasing JP-5 production during the disruptions. In general, the availability of JP-5 was more limited than F-76 under the disruption cases studied; however, in all cases one or more strategies were identified to increase refinery output of JP-5 in all study regions. Based on the four hypothetical disruption scenarios studied, the analysis suggested tat JP-5 production could be increased by relaxing the smoke point, freezing point, flash point, and by increasing the refiners' gate price for the jet fuel in the study regions. A more complete analysis of navy mobility fuel trends, as well as several changes in the models to make them easier to use in fuel planning and forecastig studies, are planned as part of the third phase of this program.

  9. Table 1. Crude Oil Prices

    Gasoline and Diesel Fuel Update (EIA)

    1997 January ... 21.76 21.19 22.21 24.25 23.02 23.59 February ... 19.38 18.99 19.98 22.49 20.88 21.64 March ......

  10. Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  11. Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  12. Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  13. Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  14. Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) DecadeV49 155 181 177 1959,54883 1993

  15. 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...

  16. 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

  17. 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

  18. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  19. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

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

  20. Divergence of opinions, short sales, and asset prices

    E-Print Network [OSTI]

    Erturk, Bilal

    2009-06-02T23:59:59.000Z

    analysts (Mikhail et al. (2003b)) and ?All American? analysts (Stickel (1992)) are found to have more accurate forecasts and less underreaction to prior earnings information. They also supply forecasts more often than other analysts. Zhang (2005) report... that investors rely on analysts? forecasts for price discovery (Dechow and Soan (1997), and Dechow et al. (2000)). Mikhail et al. (2003a) find that post earnings announcement drift associated with firms with more experienced analysts following is lower because...

  1. The efficiency of the crude oil markets: Evidence from variance ratio tests

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    of the 1990s oil prices have been steadily increasing, reflecting rising demand for crude oil, particularly costs, and reserves (Pindyck, 1999). Supply and demand remain the main factors determining oil prices. More precisely, oil demands depend on oil consumption by developed and developing countries, and oil

  2. Price determination for breeding bulls

    E-Print Network [OSTI]

    Namken, Jerry Carl

    1987-01-01T23:59:59.000Z

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

  3. State heating oil and propane program, 1994--1995 heating season. Final technical report

    SciTech Connect (OSTI)

    NONE

    1995-05-09T23:59:59.000Z

    Propane prices and No. 2 fuel prices during the 1994-1995 heating season are tabulated for the state of Ohio. Nineteen companies were included in the telephone survey of propane prices, and twenty two companies for the fuel oil prices. A bar graph is also presented for average residential prices of No. 2 heating oil.

  4. 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.

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

    E-Print Network [OSTI]

    of conservation. Morlan also made a presentation on the fuel-price forecast, including the price for oil, gas

  6. Volatility in natural gas and oil markets

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2003-01-01T23:59:59.000Z

    Using daily futures price data, I examine the behavior of natural gas and crude oil price volatility since 1990. I test whether there has been a significant trend in volatility, whether there was a short-term increase in ...

  7. Balancing oil and environment... responsibly.

    SciTech Connect (OSTI)

    Weimer, Walter C.; Teske, Lisa

    2007-01-25T23:59:59.000Z

    Balancing Oil and Environment…Responsibly As the price of oil continues to skyrocket and global oil production nears the brink, pursuing unconventional oil supplies, such as oil shale, oil sands, heavy oils, and oils from biomass and coal has become increasingly attractive. Of particular significance to the American way is that our continent has significant quantities of these resources. Tapping into these new resources, however, requires cutting-edge technologies for identification, production, processing and environmental management. This job needs a super hero or two for a job of this size and proportion…

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-07-17T23:59:59.000Z

    Unlike natural gas-fired generation, renewable generation (e.g., from wind, solar, and geothermal power) is largely immune to fuel price risk. If ratepayers are rational and value long-term price stability, then--contrary to common practice--any comparison of the levelized cost of renewable to gas-fired generation should be based on a hedged gas price input, rather than an uncertain gas price forecast. This paper compares natural gas prices that can be locked in through futures, swaps, and physical supply contracts to contemporaneous long-term forecasts of spot gas prices. We find that from 2000-2003, forward gas prices for terms of 2-10 years have been considerably higher than most contemporaneous long-term gas price forecasts. This difference is striking, and implies that comparisons between renewable and gas-fired generation based on these forecasts over this period have arguably yielded results that are biased in favor of gas-fired generation.

  9. A supply forecasting model for Zimbabwe's corn sector: a time series and structural analysis

    E-Print Network [OSTI]

    Makaudze, Ephias

    1993-01-01T23:59:59.000Z

    The Zimbabwean government utilizes the corn supply forecasts to establish producer prices for the following growing season, estimate corn storage and handling costs, project corn import needs and associated costs, and to assess the Grain Marketing...

  10. Oil Quantity : The histori

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    model for Prudhoe Bay. Figure 11: Historical Prudhoe Bay oil production data, modeled economically Production (million bbl per Month) Historical Production Best Fit (Hist. Tax w/ELF, Ref. P) High Price 120 140 160 19 Oil Quantity Con Wel N E A N N ng Results e Bay : The histori Bay over tim : Prudhoe Ba

  11. Drunk On Oil: Russian Foreign Policy 2000-2007

    E-Print Network [OSTI]

    Brugato, Thomas

    2008-01-01T23:59:59.000Z

    10% of the world’s known oil reserves. 13 Russia holds the141 No new major oil reserves have been found since 2000,aggregation oil prices and foreign reserves have about the

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

    E-Print Network [OSTI]

    Leighty, Wayne

    2008-01-01T23:59:59.000Z

    2007). The world will reach peak oil production rates, atenergy security costs, and peak oil as emergencies, we willwhen oil price is high, then the first peak in drilling cost

  13. Dynamic analysis in productivity, oil shock, and recession

    E-Print Network [OSTI]

    Katayama, Munechika

    2008-01-01T23:59:59.000Z

    use of oil in the US economy weakens the peak responses ofpeak under other factors considered, less persistence in the oil-the same size of the oil-price shock. The peak response of

  14. Energy Policy 34 (2006) 515531 Have we run out of oil yet? Oil peaking analysis from

    E-Print Network [OSTI]

    2006-01-01T23:59:59.000Z

    price shocks and economic downturns. Over the next 30 years oil demand is expected to grow by 60Energy Policy 34 (2006) 515­531 Have we run out of oil yet? Oil peaking analysis from an optimist of conventional oil production from an optimist's perspective. Is the oil peak imminent? What is the range

  15. 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

  16. ANN-based Short-Term Load Forecasting in Electricity Markets

    E-Print Network [OSTI]

    Cañizares, Claudio A.

    ANN-based Short-Term Load Forecasting in Electricity Markets Hong Chen Claudio A. Ca~nizares Ajit1 Abstract--This paper proposes an Artificial Neu- ral Network (ANN)-based short-term load forecasting, electricity markets, spot prices, Artificial Neural Networks (ANN) I. Introduction Short

  17. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  1. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  2. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  5. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  7. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  8. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  9. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Residential propane price increases

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  17. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  18. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

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

  19. Residential propane prices stable

    Gasoline and Diesel Fuel Update (EIA)

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

  20. Determinants of official OPEC crude prices

    SciTech Connect (OSTI)

    Verleger, P.K. Jr.

    1982-05-01T23:59:59.000Z

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

  1. THE RIMINI PROTOCOL Oil Depletion Protocol

    E-Print Network [OSTI]

    Keeling, Stephen L.

    Soaring oil prices have drawn attention to the issue of the relative supply and demand for crude oil1 THE RIMINI PROTOCOL an Oil Depletion Protocol ~ Heading Off Economic Chaos and Political Conflict During the Second Half of the Age of Oil As proposed at the 2003 Pio Manzu Conference

  2. Oil Trading Simon Basey / November 28, 2013

    E-Print Network [OSTI]

    Sheldon, Nathan D.

    of oil and gas. #12;9 Trading tactics · ARBITRAGE: trade the dislocation of prices between geographicalOil Trading Simon Basey / November 28, 2013 #12;2 What does IST do? Imports crude oil and other Markets BP's equity crude oil, NGLs and natural gas Generates entrepreneurial trading income Manages BP

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

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

    to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct result the value of investment in an oil field is also mean-reverting. Consequently, it would not be appropriateReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract

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

    E-Print Network [OSTI]

    Zubelli, Jorge Passamani

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

  5. 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

  6. Optimal Bidding Strategies for Wind Power Producers with Meteorological Forecasts

    E-Print Network [OSTI]

    Giannitrapani, Antonello

    bid is computed by exploiting the forecast energy price for the day ahead market, the historical wind renewable energy resources, such as wind and photovoltaic, has grown rapidly. It is well known the problem of optimizing energy bids for an independent Wind Power Producer (WPP) taking part

  7. THE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD

    E-Print Network [OSTI]

    energy-using devices in the average U.S. household that used over 4,700 kWh of electricity, natural gas-using devices to energy price, household income, and the cost of these devices. This analysis findsTHE DESIRE TO ACQUIRE: FORECASTING THE EVOLUTION OF HOUSEHOLD ENERGY SERVICES by Steven Groves BASc

  8. Modeling, History Matching, Forecasting and Analysis of Shale Reservoirs Performance Using Artificial Intelligence

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    matching, forecasting and analyzing oil and gas production in shale reservoirs. In this new approach and analysis of oil and gas production from shale formations. Examples of three case studies in Lower Huron and New Albany shale formations (gas producing) and Bakken Shale (oil producing) is presented

  9. Residential propane price decreases slightly

    Gasoline and Diesel Fuel Update (EIA)

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

  10. Mark Walker Director of Public Affairs

    E-Print Network [OSTI]

    are based on simple historical relationships between wholesale oil prices and retail prices. Forecasting to a significant extent by oil prices, and the U.S. Energy Information Administration's oil supply forecasts countries. The authors of the report acknowledge on page 14, that retail price forecasts of world oil

  11. Time-varying Predictability in Crude Oil Markets: The Case of GCC Countries

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    a nonlinear model to investigate the relationship between oil-price shock and economic growth in Japan the dynamic behavior of crude-oil prices for the period 1997-2008. Using data from four countries of the Gulf Cooperation Council, we find evidence of short-term pre- dictability in oil-price changes over time, except

  12. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

    2.1.2 European Solar Radiation Atlas (ESRA)2.4 Evaluation of Solar Forecasting . . . . . . . . .2.4.1 Solar Variability . . . . . . . . . . . . .

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

    SciTech Connect (OSTI)

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

    2012-08-01T23:59:59.000Z

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

  14. Essays in Applied Macroeconomics: Asymmetric Price Adjustment, Exchange Rate and Treatment Effect

    E-Print Network [OSTI]

    Gu, Jingping

    2009-05-15T23:59:59.000Z

    -varying volatility of gasoline price disturbances is an important feature of the data, and when we allow for asymmetric GARCH errors and investigate the system wide impulse response function, we find evidence of asymmetric adjustment to crude oil price changes...

  15. 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.

  16. Technology Forecasting Scenario Development

    E-Print Network [OSTI]

    Technology Forecasting and Scenario Development Newsletter No. 2 October 1998 Systems Analysis was initiated on the establishment of a new research programme entitled Technology Forecasting and Scenario and commercial applica- tion of new technology. An international Scientific Advisory Panel has been set up

  17. Rainfall-River Forecasting

    E-Print Network [OSTI]

    US Army Corps of Engineers

    ;2Rainfall-River Forecasting Joint Summit II NOAA Integrated Water Forecasting Program · Minimize losses due management and enhance America's coastal assets · Expand information for managing America's Water Resources, Precipitation and Water Quality Observations · USACE Reservoir Operation Information, Streamflow, Snowpack

  18. Application of Fast Marching Methods for Rapid Reservoir Forecast and Uncertainty Quantification

    E-Print Network [OSTI]

    Olalotiti-Lawal, Feyisayo

    2013-05-17T23:59:59.000Z

    Rapid economic evaluations of investment alternatives in the oil and gas industry are typically contingent on fast and credible evaluations of reservoir models to make future forecasts. It is often important to also quantify inherent risks...

  19. Table A3. Refiner/Reseller Prices of Distillate and Residual...

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

    Marketing Annual 1999 441 Table A3. RefinerReseller Prices of Distillate and Residual Fuel Oils, by PAD District, 1983-Present (Cents per Gallon Excluding Taxes) - Continued...

  20. Speculation without Oil Stockpiling as a Signature: A Dynamic Perspective

    E-Print Network [OSTI]

    Babusiaux, Denis

    According to the standard analysis of commodity prices, stockpiling is a necessary signature of speculation. This paper develops an approach suggesting that speculation may temporarily push crude oil prices above the level ...

  1. Cost, Conflict and Climate: U.S. Challenges in the World Oil Market

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    industry means that all oil demand pushes up the price ofearly 1980s drove down oil demand by 7% worldwide betweento suggest that the demand side of the world oil market or

  2. Taxation and the Extraction of Exhaustible Resources: Evidence From California Oil Production

    E-Print Network [OSTI]

    Rao, Nirupama S.

    Rapid increases in oil prices in 2008 led some to call for special taxes on the oil industry. Because oil is an exhaustible resource, however, the effects of excise taxes on production or on reported producer profits may ...

  3. Fact #835: August 25, Average Annual Gasoline Pump Price, 1929...

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

    50% since the data series began in 1929. The effect of the U.S. embargo of oil from Iran can be seen in the early 1980's with the price of gasoline peaking in 1982. From 2002...

  4. Effect of Energy Efficiency Standards on Natural Gas Prices

    E-Print Network [OSTI]

    Carnall, Michael

    2012-01-01T23:59:59.000Z

    of Conservation on the Natural Gas Price,? memo to RichardTheroux, OMB. EIA 2009a. Natural Gas Year in Review (2009),at. http://www.eia.gov/pub/oil_gas/natural_gas/feature_

  5. Optimize carbon dioxide sequestration, enhance oil recovery

    E-Print Network [OSTI]

    - 1 - Optimize carbon dioxide sequestration, enhance oil recovery January 8, 2014 Los Alamos simulation to optimize carbon dioxide (CO2) sequestration and enhance oil recovery (CO2-EOR) based on known production. Due to carbon capture and storage technology advances, prolonged high oil prices

  6. In 1973 and 1979 a pair of sudden price increases rudely awakened the

    E-Print Network [OSTI]

    Kammen, Daniel M.

    that figure by the current production rate of about 23.6 Gbo a year might suggest that crude oil could remain dependence on cheap crude oil. Prices first tripled in re- sponse to an Arab embargo and then nearly doubled of readily accessible crude oil (so-called conventional oil). The five Middle Eastern members of the Orga

  7. Probabilistic manpower forecasting

    E-Print Network [OSTI]

    Koonce, James Fitzhugh

    1966-01-01T23:59:59.000Z

    PROBABILISTIC MANPOWER FORECASTING A Thesis JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas ASSAM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May, 1966 Major Subject...: Computer Science and Statistics PROBABILISTIC MANPOWER FORECASTING A Thesis By JAMES FITZHUGH KOONCE Submitted to the Graduate College of the Texas A@M University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE May...

  8. 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.

  9. 851 S.W. Sixth Avenue, Suite 1100 Steve Crow 503-222-5161 Portland, Oregon 97204-1348 Executive Director 800-452-5161

    E-Print Network [OSTI]

    a preliminary draft fuel price forecast for public comment. Forecasts of prices for natural gas, oil, and coal the risks associated with uncertainty about fuel prices. The natural gas and oil price forecast ranges and Conservation Council Draft Natural Gas Price Vs. Fifth Plan 0 2 4 6 8 10 12 2000 2002 2004 2006 2008 2010 2012

  10. UPF Forecast | Y-12 National Security Complex

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

    Uranium Processing Facility UPF Forecast UPF Forecast UPF Procurement provides the following forecast of subcontracting opportunities. Keep in mind that these requirements may be...

  11. The long-run evolution of energy prices

    E-Print Network [OSTI]

    Pindyck, Robert S.

    1999-01-01T23:59:59.000Z

    I examine the long-run behavior of oil, coal, and natural gas prices, using up to 127 years of data, and address the following questions: What does over a century of data tell us about the stochastic dynamics of price ...

  12. Long Term Forecast ofLong Term Forecast of TsunamisTsunamis

    E-Print Network [OSTI]

    : ImproveImprove NOAANOAA''ss understandingunderstanding and forecast capabilityand forecast capability inin

  13. Voluntary Green Power Market Forecast through 2015

    SciTech Connect (OSTI)

    Bird, L.; Holt, E.; Sumner, J.; Kreycik, C.

    2010-05-01T23:59:59.000Z

    Various factors influence the development of the voluntary 'green' power market--the market in which consumers purchase or produce power from non-polluting, renewable energy sources. These factors include climate policies, renewable portfolio standards (RPS), renewable energy prices, consumers' interest in purchasing green power, and utilities' interest in promoting existing programs and in offering new green options. This report presents estimates of voluntary market demand for green power through 2015 that were made using historical data and three scenarios: low-growth, high-growth, and negative-policy impacts. The resulting forecast projects the total voluntary demand for renewable energy in 2015 to range from 63 million MWh annually in the low case scenario to 157 million MWh annually in the high case scenario, representing an approximately 2.5-fold difference. The negative-policy impacts scenario reflects a market size of 24 million MWh. Several key uncertainties affect the results of this forecast, including uncertainties related to growth assumptions, the impacts that policy may have on the market, the price and competitiveness of renewable generation, and the level of interest that utilities have in offering and promoting green power products.

  14. What Recession? Alaska's FY 2011 Budget

    E-Print Network [OSTI]

    McBeath, Jerry

    2011-01-01T23:59:59.000Z

    is the price of oil and production rate. The Department oflarge budgets when oil production was steadily declining andSpring 2010 Forecast). Oil Production Prospects and Problems

  15. Volatility Persistence in Crude Oil Markets Amlie CHARLES

    E-Print Network [OSTI]

    Boyer, Edmond

    , reflecting rising demand for crude oil, particularly from developing nations. Oil prices have been veryVolatility Persistence in Crude Oil Markets Amélie CHARLES Audencia Nantes, School of Management oil markets ­ Brent, West Texas Intermediate (WTI) and Organization of Petroleum Exporting Countries

  16. THE FISH LIVER OIL INDUSTRY FISH ERY LEAFLET 233

    E-Print Network [OSTI]

    of livers with respect to oil content and vitamin A potency · · Relationship of oil content and vitamin A by molecular dietillation · Concentration of vitamin A by saponification · Vitamin-oil specifications, pricesQY THE FISH LIVER OIL INDUSTRY FISH ERY LEAFLET 233 FISH AND WILDLIFE SERVICE United States

  17. NATCOR -Xpress case study Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average

    E-Print Network [OSTI]

    Hall, Julian

    NATCOR - Xpress case study Margaret Oil produces three products: gasoline, jet fuel, and heating oil. To produce these products, Margaret purchases crude oil at a price of £11 per barrel. Each day to produce gasoline or jet fuel. Distilled oil can be used to produce all three products. The octane level

  18. NATCOR -Xpress case study (advanced) Margaret Oil produces three products: gasoline, jet fuel, and heating oil. The average

    E-Print Network [OSTI]

    Hall, Julian

    NATCOR - Xpress case study (advanced) Margaret Oil produces three products: gasoline, jet fuel.5 for heating oil. To produce these products, Margaret can purchase two types of crude oil: crude 1 (at £12 per Jet fuel Heating oil Minimum octane 8.5 7 4.5 Price (£) 18 16 14 Minimum production 2500 3000 3500

  19. 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.

  20. Steam System Forecasting and Management

    E-Print Network [OSTI]

    Mongrue, D. M.; Wittke, D. O.

    1982-01-01T23:59:59.000Z

    '. This and the complex and integrated nature of the plants energy balance makes steam system forecasting and management essential for optimum use of the plant's energy. This paper discusses the method used by Union carbide to accomplish effective forecasting...

  1. FAA (federal Aviation Administration) aviation forecasts - fiscal years 1983-1994

    SciTech Connect (OSTI)

    Not Available

    1983-02-01T23:59:59.000Z

    This report contains the Fiscal Years 1983-1994 Federal Aviation Administration (FAA) forecasts of aviation activity at FAA facilities. These include airports with FAA control towers, air route traffic control centers, and flight service stations. Detailed forecasts were made for the four major users of the national aviation system: air carriers, air taxi/commuters, general aviation and the military. The forecasts have been prepared to meet the budget and planning needs of the constituent units of the FAA and to provide information that can be used by state and local authorities, by the aviation industry and the general public. The overall outlook for the forecast period is for moderate economic growth, relatively stable real fuel prices, and decreasing inflation. Based upon these assumptions, aviation activity is forecast to increase by Fiscal Year 1994 by 97 percent at towered airports, 50 percent at air route traffic control centers, and 54 percent in flight services performed. Hours flown by general aviation is forecast to increase 56 percent and helicopter hours flown 80 percent. Scheduled domestic revenue passenger miles (RPM's) are forecast to increase 81 percent, with scheduled international RPM's forecast to increase by 80 percent and commuter RPM's forecast to increase by 220 percent.

  2. Consensus Coal Production Forecast for

    E-Print Network [OSTI]

    Mohaghegh, Shahab

    Consensus Coal Production Forecast for West Virginia 2009-2030 Prepared for the West Virginia Summary 1 Recent Developments 2 Consensus Coal Production Forecast for West Virginia 10 Risks References 27 #12;W.Va. Consensus Coal Forecast Update 2009 iii List of Tables 1. W.Va. Coal Production

  3. Improving Inventory Control Using Forecasting

    E-Print Network [OSTI]

    Balandran, Juan

    2005-12-16T23:59:59.000Z

    EMGT 835 FIELD PROJECT: Improving Inventory Control Using Forecasting By Juan Mario Balandran jmbg@hotmail.com Master of Science The University of Kansas Fall Semester, 2005 An EMGT Field Project report submitted...............................................................................................................................................10 Current Inventory Forecast Process ...........................................................................................10 Development of Alternative Forecast Process...

  4. timber quality Modelling and forecasting

    E-Print Network [OSTI]

    Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe Forest and timber quality in Europe Modelling and forecasting yield and quality in Europe M E F Y Q U E #12;Valuing and the UK ­ are working closely together to develop a model to help forecast timber growth, yield, quality

  5. Demand Forecast INTRODUCTION AND SUMMARY

    E-Print Network [OSTI]

    electricity demand forecast means that the region's electricity needs would grow by 5,343 average megawattsDemand Forecast INTRODUCTION AND SUMMARY A 20-year forecast of electricity demand is a required in electricity demand is, of course, crucial to determining the need for new electricity resources and helping

  6. A Study of Strategies for Oil and Gas Auctions

    E-Print Network [OSTI]

    Nordt, David Paul

    2010-10-12T23:59:59.000Z

    of liquidity to sophisticated transaction services ......... 4 3.1 WTI crude oil drastically increased and declined from 2007?2008 illustrating commodity price volatility....................................................... 32 3.2 Second highest... Page 4.3 Common knowledge impacts average bid ratios for producing and undeveloped properties........................................................................ 56 5.1 Correlation oil price (WTI) to proved reserve market metrics, $/boe...

  7. Progress report to the National Science Foundation for the period July 1, 1980 to December 31, 1981 of the project on cartel behavior and exhaustible resource supply : a case study of the world oil market

    E-Print Network [OSTI]

    International Energy Studies Program (Massachusetts Institute of Technology)

    1982-01-01T23:59:59.000Z

    The M.I.T. World Oil Project has been developing forecasting methods that integrate the following considerations which influence investment in oil capacity and the level of oil exports: (1) the geology and microeconomics ...

  8. 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.

  9. 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.

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

    E-Print Network [OSTI]

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

  11. Microsoft Word - Documentation - Price Forecast Uncertainty.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page onYou are now leaving Energy.gov You are now leaving Energy.gov YouKizildere IRaghuraji Agro IndustriesTownDells,1Stocks Nov-14 Dec-14 Jan-15LiquidBG NorthandEnergyConti,09GE

  12. All Price Tables.vp

    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. Offshore U.S.:7) August4) June

  13. All Price Tables.vp

    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. Offshore U.S.:7) August4)

  14. All Price Tables.vp

    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. Offshore U.S.:7) August4)0)

  15. All Price Tables.vp

    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. Offshore U.S.:7) August4)0)8.

  16. All Price Tables.vp

    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. Offshore U.S.:7) August4)0)8.2.

  17. Residential propane price is unchanged

    Gasoline and Diesel Fuel Update (EIA)

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

  18. METEOROLOGICAL Weather and Forecasting

    E-Print Network [OSTI]

    AMERICAN METEOROLOGICAL SOCIETY Weather and Forecasting EARLY ONLINE RELEASE This is a preliminary and interpretation of information from National Weather Service watches and warnings by10 decision makers such an outlier to the regional severe weather climatology. An analysis of the synoptic and13 mesoscale

  19. Solar forecasting review

    E-Print Network [OSTI]

    Inman, Richard Headen

    2012-01-01T23:59:59.000Z

    Quantifying PV power output variability,” Solar Energy, vol.each solar sen at node i, P(t) the total power output of theSolar Forecasting Historically, traditional power generation technologies such as fossil and nu- clear power which were designed to run in stable output

  20. Do financial investors destabilize the oil price?

    Gasoline and Diesel Fuel Update (EIA)

    Germany; e-mail: marco.lombardi@ecb.europa.eu 3 Department of Financial Economics, Ghent University, Woodrow Wilsonplein 5D, B-9000 Gent, Belgium; e-mail: ine.vanrobays@ugent.be...

  1. Summary Statistics Table 1. Crude Oil Prices

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

    9.39 9.81 1998 ... 10.87 10.76 11.84 13.18 12.04 12.52 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  2. Summary Statistics Table 1. Crude Oil Prices

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

    15.95 16.91 1997 ... 17.23 16.94 18.11 19.61 18.53 19.04 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  3. Summary Statistics Table 1. Crude Oil Prices

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

    24.35 24.51 1999 ... 15.56 16.47 17.23 17.90 17.26 17.51 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  4. Summary Statistics Table 1. Crude Oil Prices

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

    25.19 26.31 2000 ... 26.72 26.27 27.53 29.11 27.70 28.26 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  5. Summary Statistics Table 1. Crude Oil Prices

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

    17.53 17.54 1995 ... 14.62 15.69 16.78 17.33 17.14 17.23 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  6. Summary Statistics Table 1. Crude Oil Prices

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

    15.95 16.52 2001 ... 21.84 20.46 21.82 24.33 22.00 22.95 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  7. Summary Statistics Table 1. Crude Oil Prices

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

    23.22 23.30 1996 ... 18.46 19.32 20.31 20.77 20.64 20.71 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  8. Summary Statistics Table 1. Crude Oil Prices

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

    26.68 26.93 2002 ... 22.51 22.63 23.91 24.65 23.71 24.10 a Free on Board. See Glossary. b Values through 1980 reflect the month of reporting; values...

  9. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  10. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  11. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  12. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  13. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  14. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993 January

  15. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122Commercial ConsumersThousandCubic Feet) Decade Year-0 Year-1 Year-2 1993

  16. Crude Oil and Gasoline Price Monitoring

    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 2,469Decade Year-0 Year-1 Year-2(Million 2014 View1997What

  17. Do financial investors destabilize the oil price?

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: 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 2,469Decade Year-0CubicCubic Feet)Cubic--2,8190 0 0

  18. Microsoft Word - high-oil-price.doc

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto17 3400,Information Administration2 U.S.and Winter,

  19. STEO January 2013 - world oil prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645U.S. DOE Office of Scienceand Requirements RecentlyElectronicResourcesjobsJuly throughR E Q U ESTEM

  20. Summary Statistics Table 1. Crude Oil Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5 Tables July 1996 Energy Information Administration Office ofthroughYear Jan FebDecadeDecade21 Louisiana LouisianaCubicCubicYear Jan