Sample records for high price volatility

  1. What Is Price Volatility

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

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

  2. 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 ...

  3. Numerical Convergence Properties of Option Pricing PDEs with Uncertain Volatility

    E-Print Network [OSTI]

    Forsyth, Peter A.

    is then simply the cost of this hedge. The principal source of risk is the price of the underlying assetNumerical Convergence Properties of Option Pricing PDEs with Uncertain Volatility D. M. Pooley , P, 2001 Abstract The pricing equations derived from uncertain volatility models in finance are often cast

  4. On the pricing and hedging of volatility derivatives

    E-Print Network [OSTI]

    Howison, Sam

    On the pricing and hedging of volatility derivatives SAM HOWISON Mathematical Institute, University a stochastic volatility model as our starting point; we also provide formulae for the case that the volatility follows a jump- diffusion process of the type described in [18]. The fact that stochastic volatility

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

    E-Print Network [OSTI]

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

  6. A comparison of option prices under different pricing measures in a stochastic volatility model

    E-Print Network [OSTI]

    Howison, Sam

    A comparison of option prices under different pricing measures in a stochastic volatility model with correlation Vicky Henderson Princeton University David Hobson § University of Bath Sam Howison ¶ University option prices in an incomplete stochastic volatility model with correlation. In a general setting, we

  7. Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

    2002-01-01T23:59:59.000Z

    Gas Pricing by Regulated Natural Gas Utilities, Docket No.a Hedge Against Volatile Natural Gas Prices Mark Bolinger,wake of unprecedented natural gas price volatility during

  8. Quantifying the value that wind power provides as a hedge against volatile natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2002-01-01T23:59:59.000Z

    Gas Pricing by Regulated Natural Gas Utilities, Docket No.A HEDGE AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger,A HEDGE AGAINST VOLATILE NATURAL GAS PRICES Mark Bolinger,

  9. 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 ...

  10. 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.

  11. Perturbation Expansion for Option Pricing with Stochastic Volatility

    E-Print Network [OSTI]

    Petr Jizba; Hagen Kleinert; Patrick Haener

    2007-08-22T23:59:59.000Z

    We fit the volatility fluctuations of the S&P 500 index well by a Chi distribution, and the distribution of log-returns by a corresponding superposition of Gaussian distributions. The Fourier transform of this is, remarkably, of the Tsallis type. An option pricing formula is derived from the same superposition of Black-Scholes expressions. An explicit analytic formula is deduced from a perturbation expansion around a Black-Scholes formula with the mean volatility. The expansion has two parts. The first takes into account the non-Gaussian character of the stock-fluctuations and is organized by powers of the excess kurtosis, the second is contract based, and is organized by the moments of moneyness of the option. With this expansion we show that for the Dow Jones Euro Stoxx 50 option data, a Delta-hedging strategy is close to being optimal.

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

    E-Print Network [OSTI]

    Fazzio, Thomas J. (Thomas Joseph)

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Vellekoop, Michel

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

  14. 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,

  15. Quantifying the value that energy efficiency and renewable energy provide as a hedge against volatile natural gas prices

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Bachrach, Devra; Golove, William

    2002-05-15T23:59:59.000Z

    Advocates of energy efficiency and renewable energy have long argued that such technologies can mitigate fuel price risk within a resource portfolio. Such arguments--made with renewed vigor in the wake of unprecedented natural gas price volatility during the winter of 2000/2001--have mostly been qualitative in nature, however, with few attempts to actually quantify the price stability benefit that these sources provide. In evaluating this benefit, it is important to recognize that alternative price hedging instruments are available--in particular, gas-based financial derivatives (futures and swaps) and physical, fixed-price gas contracts. Whether energy efficiency and renewable energy can provide price stability at lower cost than these alternative means is therefore a key question for resource acquisition planners. In this paper we evaluate the cost of hedging gas price risk through financial hedging instruments. To do this, we compare the price of a 10-year natural gas swap (i.e., what it costs to lock in prices over the next 10 years) to a 10-year natural gas price forecast (i.e., what the market is expecting spot natural gas prices to be over the next 10 years). We find that over the past two years natural gas users have had to pay a premium as high as $0.76/mmBtu (0.53/242/kWh at an aggressive 7,000 Btu/kWh heat rate) over expected spot prices to lock in natural gas prices for the next 10 years. This incremental cost to hedge gas price risk exposure is potentially large enough - particularly if incorporated by policymakers and regulators into decision-making practices - to tip the scales away from new investments in variable-price, natural gas-fired generation and in favor of fixed-price investments in energy efficiency and renewable energy.

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

    E-Print Network [OSTI]

    Marathe, Achla

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

  17. Estimation of Volatility The values of the parameters r, t, St, T, and K used to price a call op-

    E-Print Network [OSTI]

    Privault, Nicolas

    is the price of light sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), basedChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price the historical, implied, and local volatility models, and refer to [26] for stochastic volatility models. 7

  18. Volatility of Power Grids Under Real-Time Pricing

    E-Print Network [OSTI]

    Roozbehani, Mardavij

    The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power systems with real-time retail pricing and information asymmetry. Characterized by passing on the ...

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    An Exploration of Australian Petrol Demand: Unobserv- ableRelative Prices: Simulating Petrol Con- sumption Behavior.habit stock variable in a petrol demand regression, they

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

  1. 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

  2. Commodity Price Volatility and the Sources of Growth

    E-Print Network [OSTI]

    Cavalcanti, Tiago V. de V.; Mohaddes, Kamiar; Raissi, Mehdi

    2011-01-26T23:59:59.000Z

    -2000, show that higher levels of exchange rate volatility can stunt growth, especially in countries with thin capital markets. Bleaney and Greenaway (2001) estimate a panel data model for a sample of 14 sub-Saharan African countries over 1980-1995 and show... countries, we set t0 to this year.5 Furthermore, we assume a depreciation rate, #14;, of six percent and compute the subsequent values of the capital stock as: Kit = (1#0; #14;)Kit#0;1 + Iit: (6) 3.3 Human Capital Stock To calculate the level of human...

  3. An Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

    E-Print Network [OSTI]

    Lotko, William

    ), and British shipping cartels by Scott Morton (1997); research on Edgeworth cycles in retail gasoline pricing pricing data on rivals would not have been viewed as suspicious. The retail gasoline pricing data usedAn Empirical Study of Pricing Strategies in an Online Market with High-Frequency Price Information

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

    E-Print Network [OSTI]

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

  5. Essays on Resource Allocation and Management, Price Volatility and Applied Nonparametrics

    E-Print Network [OSTI]

    Nigatu, Getchew Sisay

    2012-01-01T23:59:59.000Z

    85 3.4.4 Comparing GARCH and MRS VolatilityMRS and GARCH Conditional Standard Deviation for (a) CCXF. (2002). Improving GARCH Volatility Forecasts with Regime-

  6. China's coal price disturbances: Observations, explanations, and implications for global energy economies

    E-Print Network [OSTI]

    Jackson, Robert B.

    China's coal price disturbances: Observations, explanations, and implications for global energy I G H T S c Since China decontrolled its coal prices, the price of coal has risen steadily in China, accompanied by unusual volatility. c Relatively high and volatile coal prices have triggered widespread power

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

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

  8. Today's high coal prices: correction or crisis?

    SciTech Connect (OSTI)

    Platt, J. [EPRI (US)

    2005-06-01T23:59:59.000Z

    Eastern spot prices for coal have risen 25% since the start of 2004, reaching their highest levels in more than 25 years. This spike represents the second time in four years that coal prices have risen to more than double their pre-2000 price levels. Years of famine (from a coal producer's point of view) have been replaced by periods of plenty, with increasing consequences for coal's customers. How long will this spike last? This article, based on studies carried out by EPRI, attempts to answer this question. 3 figs., 1 tab.

  9. Modeling Energy Market Volatility Using REMI October 2010

    E-Print Network [OSTI]

    Johnson, Eric E.

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

  10. 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.

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

    E-Print Network [OSTI]

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

  12. Importance of Management Information Increased price volatility and narrow profit margins in

    E-Print Network [OSTI]

    in production agriculture underscore the importance of sound record-keeping and management information for farm their financial record-keeping and analysis capabilities, allowing them to make better management decisions and High Plains areas. Economic Impact Sound financial records allow producers to make better management

  13. 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

  14. 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 ...

  15. The Impact of Tax Shocks and Oil Price Volatility on Risk - A Study of North Sea Oilfield Projects

    E-Print Network [OSTI]

    Kretzschmar, Gavin Lee; Moles, Peter

    2006-01-01T23:59:59.000Z

    We examine the impact of market volatility and increased fiscal take on risk in strategic natural resource projects. An increase in 2006 UK oilfield taxation is used as a natural experiment for assessing the impact of a ...

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

    E-Print Network [OSTI]

    Longstaff, Francis; Wang, Ashley

    2002-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Longstaff, Francis A; Wang, Ashley

    2002-01-01T23:59:59.000Z

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

  18. http://www.businessweek.com/investing/green_business/archives/2009/11/the_limits_of_c_1.html The Limits of Carbon Pricing: Can High Prices

    E-Print Network [OSTI]

    Hoffman, Andrew J.

    will be either elusive or found through sheer luck. Consider the gasoline price spike of two summers ago so flummoxed? No, unlike our friends in Europe who accept government inflated gasoline prices The Limits of Carbon Pricing: Can High Prices Alone Cut Emissions? Posted by: Andrew Hoffman on November 18

  19. Realized Stock Volatility 2.1 Introduction

    E-Print Network [OSTI]

    Niebur, Ernst

    Chapter 2 Realized Stock Volatility 2.1 Introduction Financial market volatility is indispensable for asset and derivative pricing, asset allocation, and risk management. As volatility is not a directly is to calculate the daily volatility from the sample variance of intraday returns, the `realized' volatility

  20. A new pricing mechanism for a high-priority DiffServ-based service

    E-Print Network [OSTI]

    Bouras, Christos

    -priori estimation of costs. The detailed pricing methodology is presented and experimentally evaluated. Keywords to account for congestion costs, differentiated services, QoS provision and other relevant costs for pricingA new pricing mechanism for a high-priority DiffServ-based service Christos Bouras1,2 , Afrodite

  1. The Effects of Energy Prices on Groundwater Extraction in Agriculture in the High Plains Aquifer*

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    1 The Effects of Energy Prices on Groundwater Extraction in Agriculture in the High Plains-752-0824 Abstract In this article we examine the effects of energy prices on groundwater extraction using and extensive margins. Our results show that energy prices have an effect on both the intensive and extensive

  2. Experimental evidence for interaction of water vapor and platinum crucibles at high temperatures : Implications for volatiles

    E-Print Network [OSTI]

    Cartigny, Pierre

    The extraction of water from igneous rocks and minerals is classically achieved by induction heating or foils, to extract water from rocks or minerals should be avoided. The interaction high- lighted : Implications for volatiles from igneous rocks and minerals Matthieu Clog , Pierre Cartigny, Cyril Aubaud

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

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

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

  4. Impacts of high energy prices on long-term energy-economic scenarios for Germany

    E-Print Network [OSTI]

    Impacts of high energy prices on long-term energy-economic scenarios for Germany Volker Krey1 , Dag and Technology Evaluation (IEF-STE), 52425 Jlich, Germany 2) DIW Berlin, Knigin-Luise-Str. 5, 14195 Berlin, Germany 3) ko-Institut, Novalisstr. 10, 10115 Berlin, Germany Abstract Prices of oil and other fossil

  5. Ammonia volatilization and nitrogen transformations in high pH soils used for beef manure disposal

    E-Print Network [OSTI]

    Peters, Robert Edgar

    1972-01-01T23:59:59.000Z

    . The total nitrogen losses in the limed treatments were believed to be caused by the high solubility of organic matter in high pH solutions followed by chemical volatilization of nitrogen as ammonia. Most of this ammonia was believed to have remained... as par t of the soil air and was lost when the soil samples were taken from the columns. Denitrification was believed to be responsible for losses in the unlimed treatments. Comparison of final organic and total inorganic nitrogen concen- trationss...

  6. 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.

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

    E-Print Network [OSTI]

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

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

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

    E-Print Network [OSTI]

    Adams, Benjamin Michael

    1975-01-01T23:59:59.000Z

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

  9. 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 ...

  10. High-order accurate implicit methods for the pricing of barrier options

    E-Print Network [OSTI]

    Ndogmo, J C

    2007-01-01T23:59:59.000Z

    This paper deals with a high-order accurate implicit finite-difference approach to the pricing of barrier options. In this way various types of barrier options are priced, including barrier options paying rebates, and options on dividend-paying-stocks. Moreover, the barriers may be monitored either continuously or discretely. In addition to the high-order accuracy of the scheme, and the stretching effect of the coordinate transformation, the main feature of this approach lies on a probability-based optimal determination of boundary conditions. This leads to much faster and accurate results when compared with similar pricing approaches. The strength of the present scheme is particularly demonstrated in the valuation of discretely monitored barrier options where it yields values closest to those obtained from the only semi-analytical valuation method available.

  11. High natural gas output and inventories contribute to lower prices

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

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

  12. 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

  13. Essays on Price Dynamics, Welfare Analysis, Household Food Insecurity in Mexico

    E-Print Network [OSTI]

    Magana Lemus, David

    2013-09-20T23:59:59.000Z

    Higher and more volatile food prices, as reported in recent years, have consequences on household welfare and potentially on public policy. Analysis of agricultural commodities price dynamics, welfare ...

  14. 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.

  15. Moment Methods for Exotic Volatility Derivatives

    E-Print Network [OSTI]

    Albanese, Claudio

    2007-01-01T23:59:59.000Z

    The latest generation of volatility derivatives goes beyond variance and volatility swaps and probes our ability to price realized variance and sojourn times along bridges for the underlying stock price process. In this paper, we give an operator algebraic treatment of this problem based on Dyson expansions and moment methods and discuss applications to exotic volatility derivatives. The methods are quite flexible and allow for a specification of the underlying process which is semi-parametric or even non-parametric, including state-dependent local volatility, jumps, stochastic volatility and regime switching. We find that volatility derivatives are particularly well suited to be treated with moment methods, whereby one extrapolates the distribution of the relevant path functionals on the basis of a few moments. We consider a number of exotics such as variance knockouts, conditional corridor variance swaps, gamma swaps and variance swaptions and give valuation formulas in detail.

  16. IMPLICIT SOLUTION OF UNCERTAIN VOLATILITY/TRANSACTION COST

    E-Print Network [OSTI]

    Forsyth, Peter A.

    IMPLICIT SOLUTION OF UNCERTAIN VOLATILITY/TRANSACTION COST OPTION PRICING MODELS WITH DISCRETELY OBSERVED BARRIERS P.A. FORSYTH \\Lambda AND K.R. VETZAL y Abstract. Option pricing models with uncertain volatility/transaction costs give rise to a nonlinear PDE. Previous work has focussed on explicit methods

  17. Cotton hedging strategies using prices for Texas High Plains and Rio Grande Valley areas

    E-Print Network [OSTI]

    Howard, John V

    1979-01-01T23:59:59.000Z

    Strategies. 88 18 One-way Analysis for Rio Grande Valley Strategy. es 88 19 Sell (Buy) December Putures Contract at First of Year and Hold Until Contract Natures. 90 20 Rating of Speculative Strategies by Returns Per Contract. 91 21 One-way Analysis... Valley grows cotton of a staple length and quality more suited to futures contract specifications (1 1/16 inch). The High Plains' shorter staple cotton may cause dif- ficulties in hedging because the price of short staple cotton may not always move jn...

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

    SciTech Connect (OSTI)

    Sener, Adil Caner; Kimball, Stefan

    2007-12-15T23:59:59.000Z

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

  19. 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

  20. Worried About High N Prices? Keith A Kelling and Larry G Bundy

    E-Print Network [OSTI]

    Balser, Teri C.

    .S. natural gas prices · Record increase in world nitrogen capacity · China's ban on urea imports · Collapse Nitrate Nitric AcidAmmonia Natural Gas Anhydrous Ammonia (NH3) Carbon Dioxide (CO2) Liquid Urea (UR) Prill gas prices NYMEX Natural Gas Prices 0 1 2 3 4 5 6 7 8 9 10 11 Jan-99 Apr-99 Jul-99 O ct-99 Jan-00 Apr

  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

    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

  2. System dynamics, market microstructure and asset pricing

    E-Print Network [OSTI]

    Leika, Mindaugas

    2013-01-01T23:59:59.000Z

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

  3. Identifying Sources of Volatile Organic Compounds and Aldehydes in a High Performance Building

    SciTech Connect (OSTI)

    Ortiz, Anna C.; Russell, Marion; Lee, Wen-Yee; Apte, Michael; Maddalena, Randy

    2010-09-20T23:59:59.000Z

    The developers of the Paharpur Business Center (PBC) and Software Technology Incubator Park in New Delhi, India offer an environmentally sustainable building with a strong emphasis on energy conservation, waste minimization and superior indoor air quality (IAQ). To achieve the IAQ goal, the building utilizes a series of air cleaning technologies for treating the air entering the building. These technologies include an initial water wash followed by ultraviolet light treatment and biolfiltration using a greenhouse located on the roof and numerous plants distributed throughout the building. Even with the extensive treatment of makeup air and room air in the PBC, a recent study found that the concentrations of common volatile organic compounds and aldehydes appear to rise incrementally as the air passes through the building from the supply to the exhaust. This finding highlights the need to consider the minimization of chemical sources in buildings in combination with the use of advanced air cleaning technologies when seeking to achieve superior IAQ. The goal of this project was to identify potential source materials for indoor chemicals in the PBC. Samples of building materials, including wood paneling (polished and unpolished), drywall, and plastic from a hydroponic drum that was part of the air cleaning system, were collected from the building for testing. All materials were collected from the PBC building and shipped to the Lawrence Berkeley National Laboratory (LBNL) for testing. The materials were pre-conditioned for two different time periods before measuring material and chemical specific emission factors for a range of VOCs and Aldehydes. Of the six materials tested, we found that the highest emitter of formaldehyde was new plywood paneling. Although polish and paint contribute to some VOC emissions, the main influence of the polish was in altering the capacity of the surface to accumulate formaldehyde. Neither the new nor aged polish contributed significantly to formaldehyde emissions. The VOC emission stream (excluding formaldehyde) was composed of up to 18 different chemicals and the total VOC emissions ranged in magnitude from 7 mu g/m2/h (old wood with old polish) to>500 mu g/m2/h (painted drywall). The formaldehyde emissions from drywall and old wood with either new or old polish were ~;;15 mu g/m2/h while the new wood material emitted>100 mu g/m2/h. However, when the projected surface area of each material in the building was considered, the new wood, old wood and painted drywall material all contributed substantially to the indoor formaldehyde loading while the coatings contributed primarily to the VOCs.

  4. volatility. atthemoney

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    volatility is lowest for atthemoney options. -- It becomes higher the further the option is in or outofthemoney (concluded) . Suppose a year has 260 trading days. . A quick and dirty way is to replace # with a # # 365 260

  5. High-G testing of MEMS mechanical non-volatile memory and silicon re-entry switch.

    SciTech Connect (OSTI)

    Baker, Michael Sean; Pohl, Kenneth Roy

    2005-10-01T23:59:59.000Z

    Two different Sandia MEMS devices have been tested in a high-g environment to determine their performance and survivability. The first test was performed using a drop-table to produce a peak acceleration load of 1792 g's over a period of 1.5 ms. For the second test the MEMS devices were assembled in a gun-fired penetrator and shot into a cement target at the Army Waterways Experiment Station in Vicksburg Mississippi. This test resulted in a peak acceleration of 7191 g's for a duration of 5.5 ms. The MEMS devices were instrumented using the MEMS Diagnostic Extraction System (MDES), which is capable of driving the devices and recording the device output data during the high-g event, providing in-flight data to assess the device performance. A total of six devices were monitored during the experiments, four mechanical non-volatile memory devices (MNVM) and two Silicon Reentry Switches (SiRES). All six devices functioned properly before, during, and after each high-g test without a single failure. This is the first known test under flight conditions of an active, powered MEMS device at Sandia.

  6. Jump Starting GARCH: Pricing Options with Jumps in Returns and

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

    Jump Starting GARCH: Pricing Options with Jumps in Returns and Volatilities J. Duan, P. Ritchken and volatilities. Our model nests Duan's GARCH option models where conditional returns are constrained to being normal, as well as extends Merton's jump-diffusion model by allowing return volatility to exhibit GARCH

  7. Cotton hedging strategies using prices for Texas High Plains and Rio Grande Valley areas

    E-Print Network [OSTI]

    Howard, John V

    1979-01-01T23:59:59.000Z

    as futures prices fall). The technical strategies were designed to be dynamic in nature i. e. , entering and leaving the futures market as conditions dictated. These strategies consisted of different combinations of short and lory moving averages of daily... prices. A four day weighted average in . " 'or was used in conjunction with selected average systems. The results of each hedging strategy were compared with the re- sults of the cash-market-only strategies. The cash strategies were (a) to sell...

  8. High-K Based Non-Volatile Memory Devices with the Light Emitting Application

    E-Print Network [OSTI]

    Lin, Chi-Chou

    2014-09-05T23:59:59.000Z

    The zirconium-doped hafnium oxide (ZrHfO) high-k gate dielectric films with and without the embedded nanocrystals have been studied for the applications of the nonvolatile memory and light emitting devices. By replacing the polycrystalline Si...

  9. Cursed Resources? Political Conditions and Oil Market Volatility*

    E-Print Network [OSTI]

    Edwards, Paul N.

    that there is a pronounced negative relationship between a country's political openness and the short-run volatility in oil shifts in oil demand or supply affect prices (see, for example, Hamilton (2009a) for a recent assessmentCursed Resources? Political Conditions and Oil Market Volatility* Gilbert E. Metcalf Tufts

  10. Scaling and memory in volatility return intervals in financial markets

    E-Print Network [OSTI]

    Stanley, H. Eugene

    markets, we study the return intervals between the daily volatilities of the price changes that are above.federal- reserve.gov releases H10 hist. We choose to study daily data records because there are intraday trendsScaling and memory in volatility return intervals in financial markets Kazuko Yamasaki* , Lev

  11. What drives option prices? Frdric Abergel1

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

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

  12. An Hour-Ahead Prediction Model for Heavy-Tailed Spot Prices

    E-Print Network [OSTI]

    Powell, Warren B.

    ...ttng through short-term trading by taking advantage of the large volatilities. Unlike stock prices, it is well markets. For a comparison, stock markets typically have yearly volatilities of 20-30% ([20]). There has

  13. A semi-Markov model with memory for price changes

    E-Print Network [OSTI]

    D'Amico, Guglielmo

    2011-01-01T23:59:59.000Z

    We study the high frequency price dynamics of traded stocks by a model of returns using a semi-Markov approach. More precisely we assume that the intraday returns are described by a discrete time homogeneous semi-Markov which depends also on a memory index. The index is introduced to take into account periods of high and low volatility in the market. First of all we derive the equations governing the process and then theoretical results have been compared with empirical findings from real data. In particular we analyzed high frequency data from the Italian stock market from first of January 2007 until end of December 2010.

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

    E-Print Network [OSTI]

    Muehlegger, Erich J

    2005-01-01T23:59:59.000Z

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

  15. 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...

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

    SciTech Connect (OSTI)

    Mapes, Terry S.

    2011-05-01T23:59:59.000Z

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

  17. 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

  18. 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

  19. 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...

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

    SciTech Connect (OSTI)

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

    2005-08-01T23:59:59.000Z

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

  1. Duality and Derivative Pricing with Levy Jose Fajardo

    E-Print Network [OSTI]

    Mordecki, Ernesto

    (1996) obtain a closed form formula using the optional sam- pling theorem, assuming that stock prices.e. a stochastic process with independent and homogeneous increments, possible with discontinuous paths results for stochastic volatility models, and for diffusi

  2. Price Risk Management in the Midst of a Credit Crisis

    E-Print Network [OSTI]

    Welch, Mark; Amosson, Stephen H.; Robinson, John; Falconer, Lawrence

    2009-03-26T23:59:59.000Z

    Agricultural producers today face volatile markets, tight credit, economic uncertainty and escalating input costs. Understanding and using risk management tools in this environment can reduce much of the price risk and may improve financial returns....

  3. Modeling Dependence in Data: Options Pricing and Random Walks

    E-Print Network [OSTI]

    Kumar, Nitesh

    2013-01-01T23:59:59.000Z

    option pricing under GARCH by a Markov chain approximation.S. (2000). A closed-form GARCH option valuation model. Theof stochastic and/or GARCH volatility (Heston, 1993; Heston

  4. 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 ...

  5. Measuring and Explaining Electricity Price Changes in Restructured States

    SciTech Connect (OSTI)

    Fagan, Mark L.

    2006-06-15T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

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

    2004-12-21T23:59:59.000Z

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

  7. Scaling and memory of intraday volatility return intervals in stock markets Fengzhong Wang,1

    E-Print Network [OSTI]

    Stanley, H. Eugene

    Scaling and memory of intraday volatility return intervals in stock markets Fengzhong Wang,1 Kazuko interval between price volatilities that are above a certain threshold q for 31 intraday data sets Yamasaki,1,2 Shlomo Havlin,1,3 and H. Eugene Stanley1 1 Center for Polymer Studies and Department

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

    E-Print Network [OSTI]

    Tsitsiklis, John

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

  9. Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps and

    E-Print Network [OSTI]

    California at Berkeley. University of

    PWP-073 Stochastic Models of Energy Commodity Prices and Their Applications: Mean.ucei.berkeley.edu/ucei #12;Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps-switching and stochastic volatility into these models in order to capture the salient features of energy commodity prices

  10. Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with

    E-Print Network [OSTI]

    Stochastic Models of Energy Commodity Prices and Their Applications: Mean-reversion with Jumps usion models to describe energy commodity spot prices. We incorporate multiple jumps, regime-switching and stochastic volatility in these models. Prices of various energy commodity derivatives are obtained under each

  11. An hour-ahead prediction model for heavy-tailed spot prices Jae Ho Kim, Warren B. Powell

    E-Print Network [OSTI]

    Powell, Warren B.

    . Daily volatilities of 20-30% are common in electricity markets. For a comparison, stock markets market participants about the pos- sibility of pro...ttng through short-term trading by taking advantage of the large volatilities. Unlike stock prices, it is well-known that electricity prices in deregulated markets

  12. 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 Amlie CHARLES Audencia Nantes, School of Management oil markets Brent, West Texas Intermediate (WTI) and Organization of Petroleum Exporting Countries

  13. A new volatility term in the theory of options with transaction costs

    E-Print Network [OSTI]

    Alexander Morozovsky

    2000-04-03T23:59:59.000Z

    The introduction of transaction costs into the theory of option pricing could lead not only to the change of return for options, but also to the change of the volatility. On the base of assumption of the portfolio analysis, a new equation for option pricing with transaction costs is derived. A new solution for the option price is obtained for the time close to expiration date.

  14. Evaluation of three analytical techniques used to determine high levels of volatile organic compounds in type IV sludge from Rocky Flats Plant

    SciTech Connect (OSTI)

    Parish, K.J.; Applegate, D.V.; Tsai, Y. [and others

    1996-01-01T23:59:59.000Z

    Before disposal, radioactive sludge (Type IV) from Rocky Flats Plant (RFP) must be evaluated for volatile organic compound (VOC) content. The Type IV sludge consists of organic solvents, degreasers, cutting oils, and transuranic (TRU) waste mixed with calcium silicate (MicroCel E{reg_sign}) and Oil Dri{reg_sign} to form a grease or paste-like material. For laboratory testing, a simulated Type IV RFP sludge (nonradioactive) was prepared at Argonne National Laboratory-East. This sludge has a composition similar to that expected from field samples. On the basis of historical information, a typical Type IV sludge is expected to contain approximately 1-10 percent of three target VOCs. The objective of this work is to evaluate three proposed methods for the determination of high levels of these three VOCs in Type IV sludge. The three methods are (1) static headspace gas analysis, (2) methanol extraction, and (3) ethylene glycol extraction. All three methods employ gas chromatography/mass spectrometry (GC/MS). They were evaluated regarding general method performance criteria, ease of operation, and amounts of secondary mixed waste generated.

  15. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. OPECs 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

  16. Understanding Crude Oil Prices

    E-Print Network [OSTI]

    Hamilton, James Douglas

    2008-01-01T23:59:59.000Z

    2004. OPECs 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

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

    SciTech Connect (OSTI)

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

    2005-08-25T23:59:59.000Z

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

  18. A semi-Markov model for price returns

    E-Print Network [OSTI]

    D'Amico, Guglielmo

    2011-01-01T23:59:59.000Z

    We study the high frequency price dynamics of traded stocks by a model of returns using a semi-Markov approach. More precisely we assume that the intraday return are described by a discrete time homogeneous semi-Markov process and the overnight returns are modeled by a Markov chain. Based on this assumptions we derived the equations for the first passage time distribution and the volatility autocorreletion function. Theoretical results have been compared with empirical findings from real data. In particular we analyzed high frequency data from the Italian stock market from first of January 2007 until end of December 2010. The semi-Markov hypothesis is also tested through a nonparametric test of hypothesis.

  19. Option prices in a model with stochastic disaster risk Sang Byung Seo

    E-Print Network [OSTI]

    Kahana, Michael J.

    Option prices in a model with stochastic disaster risk Sang Byung Seo University of Pennsylvania volatility curve. First draft: January 18, 2013. Seo: sangseo@wharton.upenn.edu; Wachter: jwachter

  20. Metal volatilization and separation during incineration

    SciTech Connect (OSTI)

    Ho, T.C.; Chu, H.W.; Hopper, J.R. (Lamar Univ., Beaumont, TX (United States). Dept. of Chemical Engineering)

    1993-01-01T23:59:59.000Z

    The US Environmental Protection Agency (US EPA) has reported that metals can account for almost all of the identified risks from a thermal treatment process. Fundamental research leading to better understanding of their behavior and improved control of their emissions is greatly needed. This paper reports studies on metal volatilization and separation during incineration. Metal volatilization studies were carried out in two separate experiments. In the first experiment, the dynamic volatilization characteristics of various metals during the combustion of metal-containing wood pellets were investigated in a high-temperature electric furnace. In addition to uncontrolled volatilization, the potential of employing chemical additives to bind metals and prevent them from volatilizing during combustion was also investigated. The second experiment involved the investigation of metal volatilization characteristics during the thermal treatment of metal-contaminated clay in a fluidized bed unit. The metal species tested in both experiments were compounds of lead and cadmium. Metal capture/separation studies were also carried out in two separate experiments. The first involved the use of sorbents in the combustion chamber to capture metals during the fluidized bed incineration of metal-containing wood pellets. The second experiments, however, employed sorbents to absorb metal vapors in a fluidized-bed waste-heat boiler. The objective of both the experiments is to characterize the metal absorption efficiency associated with the processes.

  1. Volatiles in protoplanetary disks

    E-Print Network [OSTI]

    Pontoppidan, Klaus M; Bergin, Edwin A; Brittain, Sean; Marty, Bernard; Mousis, Olvier; Oberg, Karin L

    2014-01-01T23:59:59.000Z

    Volatiles are compounds with low sublimation temperatures, and they make up most of the condensible mass in typical planet-forming environments. They consist of relatively small, often hydrogenated, molecules based on the abundant elements carbon, nitrogen and oxygen. Volatiles are central to the process of planet formation, forming the backbone of a rich chemistry that sets the initial conditions for the formation of planetary atmospheres, and act as a solid mass reservoir catalyzing the formation of planets and planetesimals. This growth has been driven by rapid advances in observations and models of protoplanetary disks, and by a deepening understanding of the cosmochemistry of the solar system. Indeed, it is only in the past few years that representative samples of molecules have been discovered in great abundance throughout protoplanetary disks - enough to begin building a complete budget for the most abundant elements after hydrogen and helium. The spatial distributions of key volatiles are being mapped...

  2. Non-volatile memory for checkpoint storage

    DOE Patents [OSTI]

    Blumrich, Matthias A.; Chen, Dong; Cipolla, Thomas M.; Coteus, Paul W.; Gara, Alan; Heidelberger, Philip; Jeanson, Mark J.; Kopcsay, Gerard V.; Ohmacht, Martin; Takken, Todd E.

    2014-07-22T23:59:59.000Z

    A system, method and computer program product for supporting system initiated checkpoints in high performance parallel computing systems and storing of checkpoint data to a non-volatile memory storage device. The system and method generates selective control signals to perform checkpointing of system related data in presence of messaging activity associated with a user application running at the node. The checkpointing is initiated by the system such that checkpoint data of a plurality of network nodes may be obtained even in the presence of user applications running on highly parallel computers that include ongoing user messaging activity. In one embodiment, the non-volatile memory is a pluggable flash memory card.

  3. 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.

  4. Role of Volatilization in Changing TBA and MTBE Concentrations at

    E-Print Network [OSTI]

    Role of Volatilization in Changing TBA and MTBE Concentrations at MTBE-Contaminated Sites J U A N tertiary butyl ether (MTBE) added to gasoline. Frequent observations of high TBA, and especially rising TBA/MTBE of MTBE to TBA. Typically overlooked is the role of volatilization in the attenuation of these chemicals

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    of the Global Crude Oil Market and the U.S. Retail Gasolines to aect the world oil market. ) I use tax instruments andthe integration of the world oil market rescues the original

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    World crude oil and natural gas: a demand and supply model.analysis of the demand for oil in the Middle East. EnergyEstimates elasticity of demand for crude oil, not gasoline.

  7. 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

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

    E-Print Network [OSTI]

    Muehlegger, Erich J.

    2002-01-01T23:59:59.000Z

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

  9. Advanced heat pump for the recovery of volatile organic compounds

    SciTech Connect (OSTI)

    Not Available

    1992-03-01T23:59:59.000Z

    Emissions of Volatile Organic Compounds (VOC) from stationary industrial and commercial sources represent a substantial portion of the total US VOC emissions. The Toxic-Release Inventory'' of The US Environmental Protection Agency estimates this to be at about 3 billion pounds per year (1987 estimates). The majority of these VOC emissions are from coating processes, cleaning processes, polymer production, fuel production and distribution, foam blowing,refrigerant production, and wood products production. The US Department of Energy's (DOE) interest in the recovery of VOC stems from the energy embodied in the recovered solvents and the energy required to dispose of them in an environmentally acceptable manner. This Phase I report documents 3M's work in close working relationship with its subcontractor Nuclear Consulting Services (Nucon) for the preliminary conceptual design of an advanced Brayton cycle heat pump for the recovery of VOC. Nucon designed Brayton cycle heat pump for the recovery of methyl ethyl ketone and toluene from coating operations at 3M Weatherford, OK, was used as a base line for the work under cooperative agreement between 3M and ODE. See appendix A and reference (4) by Kovach of Nucon. This cooperative agreement report evaluates and compares an advanced Brayton cycle heat pump for solvent recovery with other competing technologies for solvent recovery and reuse. This advanced Brayton cycle heat pump is simple (very few components), highly reliable (off the shelf components), energy efficient and economically priced.

  10. 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

  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. 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

  13. ante value-based price: Topics by E-print Network

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

    impacts of zone pricing on post-merger price effects. Using the ready-to-eat cereals industry as a backdrop, we show empirically that high-income price zones are more...

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

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

  15. COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

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

  16. Utility spot pricing study : Wisconsin

    E-Print Network [OSTI]

    Caramanis, Michael C.

    1982-01-01T23:59:59.000Z

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

  17. Grid Pricing of Fed Cattle

    E-Print Network [OSTI]

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

    2009-03-02T23:59:59.000Z

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

  18. 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

  19. 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

  20. 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.

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

    E-Print Network [OSTI]

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

  2. Pricing Decisions during Inter-generational Product Transition

    E-Print Network [OSTI]

    Graves, Stephen C.

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

  3. 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)

  4. Predictability of price movements in deregulated electricity markets

    E-Print Network [OSTI]

    Uritskaya, Olga Y

    2015-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2009-01-28T23:59:59.000Z

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

  6. CALIBRATION OF VOLATILITY SURFACES Stphane CRPEY

    E-Print Network [OSTI]

    Printems, Jacques

    CALIBRATION OF VOLATILITY SURFACES Stéphane CR?PEY Université d'?vry & ARTABEL SA GT MATHFI Calibration, 5 June 2003 Figure 1: Volatility Smile #12;GT MATHFI Calibration 5 June 2003 1 Basics CR?PEY Page 1 #12;GT MATHFI Calibration 5 June 2003 Smile of implied volatility Stochastic volatility d

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

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

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

  8. LED Price Tracking Form

    Broader source: Energy.gov [DOE]

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

  9. 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...

  10. 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...

  11. 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

  12. The Effect of Mass Transit Systems on Price of Condominium in Bangkok

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    with strong supply and demand of high-quality and affordable housing projects. These properties' s prices haveThe Effect of Mass Transit Systems on Price of Condominium in Bangkok Undergraduate Honor Thesis. A hedonic price model is used to analyze the effect of mass transit systems on the price of condominiums

  13. Price-elastic demand in deregulated electricity markets

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.

    2003-05-01T23:59:59.000Z

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

  14. Time-Varying Effects of Housing and Stock Prices on U.S. Consumption Beatrice D. Simo-Kegne*, Stephen M. Miller**, Rangan Gupta*, and Goodness C. Aye*,

    E-Print Network [OSTI]

    Ahmad, Sajjad

    of per capita consumption in the US, showing significant volatilities during the twelve decadesTime-Varying Effects of Housing and Stock Prices on U.S. Consumption Beatrice D. Simo prices on US consumption over time. We use annual data from 1890 to 2012 and find that over different

  15. The effect of different levels of forage and fish meal on the live performance and rumen volatile fatty acid concentation of heifers fed high molasses diets

    E-Print Network [OSTI]

    Estrada, Sergio

    1973-01-01T23:59:59.000Z

    in a high molasses diet is of critical economical and nutritional importance. Developing an appropriate system of feeding high levels of molasses (B5/. or more of the ration) to cattle could drastically change the horizons of cattle feeding... of molasses as the major energy source in beef cattle fattening rations. In recent years Preston and co-worl ers undertook the feeding of molasses-urea mixtures, first as a supplement to ad libitum grain feeding. Later they developed a feeding system...

  16. The Minimum Price Contract

    E-Print Network [OSTI]

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

    2008-10-17T23:59:59.000Z

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

  17. Utility spot pricing, California

    E-Print Network [OSTI]

    Schweppe, Fred C.

    1982-01-01T23:59:59.000Z

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

  18. 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

  19. 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.

  20. Price/Cost Proposal Form

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

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

  1. Option Pricing with Levy-Stable Processes Generated by Levy-Stable Integrated Variance

    E-Print Network [OSTI]

    Howison, Sam

    Cartea1 and Sam Howison2 1 Birkbeck, University of London 2 Mathematical Institute, University of Oxford hypothesis, stochastic volatil- ity, -stable processes, option pricing, time-changed Brownian motion. We of the underlying stochastic processes used in the financial literature were based on Brownian motion, modelling

  2. 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.

  3. High performance in Procurement Risk Management

    E-Print Network [OSTI]

    Olsha, Maya (Olsha-Yehiav)

    2010-01-01T23:59:59.000Z

    Research on Procurement Risk Management has been conducted by Accenture and MIT in order to identify the best practices used to manage commodity price volatility and supplier risk. In today's increasingly turbulent market ...

  4. Volatility Forecasts in Financial Time Series with HMM-GARCH Models

    E-Print Network [OSTI]

    Chen, Yiling

    Volatility Forecasts in Financial Time Series with HMM-GARCH Models Xiong-Fei Zhuang and Lai {xfzhuang,lwchan}@cse.cuhk.edu.hk Abstract. Nowadays many researchers use GARCH models to generate of the two parameters G1 and A1[1], in GARCH models is usually too high. Since volatility forecasts in GARCH

  5. A summary of volatile impurity measurements and gas generation studies on MISSTD-1, a high-purity plutonium oxide produced by low-temperature calcination of plutonium oxalate

    SciTech Connect (OSTI)

    Berg, John M. [Los Alamos National Laboratory; Narlesky, Joshua E. [Los Alamos National Laboratory; Veirs, Douglas K. [Los Alamos National Laboratory

    2012-06-08T23:59:59.000Z

    Plutonium dioxide of high specific surface area was subjected to long-term tests of gas generation in sealed containers. The material preparation and the storage conditions were outside the bounds of acceptable parameters defined by DOE-STD-3013-2012 in that the material was stabilized to a lower temperature than required and had higher moisture content than allowed. The data provide useful information for better defining the bounding conditions for safe storage. Net increases in internal pressure and transient increases in H{sub 2} and O{sub 2} were observed, but were well within the bounds of gas compositions previously shown to not threaten integrity of 3013 containers.

  6. Multi-Factor Energy Price Models Exotic Derivatives Pricing

    E-Print Network [OSTI]

    Jaimungal, Sebastian

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

  7. 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

  8. Diesel prices slightly increase

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

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

  9. NoVaS Transformations: Flexible Inference for Volatility Forecasting

    E-Print Network [OSTI]

    Politis, Dimitris N; Thomakos, Dimitrios D

    2008-01-01T23:59:59.000Z

    NoVaS Transformations: Flexible Inference for VolatilityNoVaS Transformations: Flexible Inference for Volatility

  10. 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.

  11. Pricing an Annuity

    E-Print Network [OSTI]

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

  12. The ethics of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad

    2010-07-15T23:59:59.000Z

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

  13. 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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan

    2006-01-01T23:59:59.000Z

    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

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

    SciTech Connect (OSTI)

    Bolinger, Mark A; Wiser, Ryan

    2008-09-15T23:59:59.000Z

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

  16. Fewer Prices than Zones Steven Stoft

    E-Print Network [OSTI]

    California at Berkeley. University of

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

  17. Energy Policy 35 (2007) 91111 Simulating price patterns for tradable green certificates to promote

    E-Print Network [OSTI]

    Ford, Andrew

    2007-01-01T23:59:59.000Z

    Energy Policy 35 (2007) 91111 Simulating price patterns for tradable green certificates to promote to these high prices with construction of new wind capacity. After a few years, wind generation meets the market opens. Investors react to these high prices with construction of new wind capacity, and total

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

    E-Print Network [OSTI]

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

    2006-01-01T23:59:59.000Z

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

  19. MTBE, methanol prices rise

    SciTech Connect (OSTI)

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

    1995-12-20T23:59:59.000Z

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

  20. Determining Price Reasonableness in UESC Price Proposals

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

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

  1. 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.

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

    E-Print Network [OSTI]

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

    1984-01-01T23:59:59.000Z

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

  3. 15.818 Pricing, Spring 2005

    E-Print Network [OSTI]

    Tucker, Catherine

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

  4. Real Estate Prices and Economic Cycles

    E-Print Network [OSTI]

    Quigley, John M.

    2002-01-01T23:59:59.000Z

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

  5. Volatility return intervals analysis of the Japanese market

    E-Print Network [OSTI]

    Jung, Woo-Sung; Havlin, Shlomo; Kaizoji, Taisei; Moon, Hie-Tae; Stanley, H Eugene

    2007-01-01T23:59:59.000Z

    We investigate scaling and memory effects in return intervals between price volatilities above a certain threshold $q$ for the Japanese stock market using daily and intraday data sets. We find that the distribution of return intervals can be approximated by a scaling function that depends only on the ratio between the return interval $\\tau$ and its mean $$. We also find memory effects such that a large (or small) return interval follows a large (or small) interval by investigating the conditional distribution and mean return interval. The results are similar to previous studies of other markets and indicate that similar statistical features appear in different financial markets. We also compare our results between the period before and after the big crash at the end of 1989. We find that scaling and memory effects of the return intervals show similar features although the statistical properties of the returns are different.

  6. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15T23:59:59.000Z

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

  7. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

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

    1948-01-01T23:59:59.000Z

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

  8. Diesel prices decrease

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

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

  9. Diesel prices decrease

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

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

  10. Diesel prices decrease

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

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

  11. Diesel prices flat

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

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

  12. Diesel prices flat nationally

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

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

  13. Diesel prices increase

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

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

  14. Diesel prices increase

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

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

  15. Diesel prices increase nationally

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

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

  16. Diesel prices slightly decrease

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

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

  17. Diesel prices slightly decrease

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

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

  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 decreasesheatingheatingpropane price

  19. 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

  20. 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

  1. 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

  2. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  4. FINAL REPORT ON PRICE MANIPULATION IN WESTERN MARKETS

    E-Print Network [OSTI]

    Laughlin, Robert B.

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

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

    E-Print Network [OSTI]

    Chaudhuri, Sanjay

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

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

    E-Print Network [OSTI]

    Wang, Yazhen

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

  7. Best Buys and Unit Pricing

    E-Print Network [OSTI]

    Anding, Jenna

    2000-02-02T23:59:59.000Z

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

  8. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2004-11-30T23:59:59.000Z

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

  9. Rethinking Real Time Electricity Pricing

    E-Print Network [OSTI]

    Allcott, Hunt

    Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the .rst program to expose residential consumers to hourly ...

  10. Pricing with uncertain customer valuations

    E-Print Network [OSTI]

    2007-10-16T23:59:59.000Z

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

  11. Volatile organic compound sensor system

    DOE Patents [OSTI]

    Schabron, John F. (Laramie, WY); Rovani, Jr., Joseph F. (Laramie, WY); Bomstad, Theresa M. (Laramie, WY); Sorini-Wong, Susan S. (Laramie, WY)

    2009-02-10T23:59:59.000Z

    Generally, this invention relates to the development of field monitoring methodology for new substances and sensing chemical warfare agents (CWAs) and terrorist substances. It also relates to a portable test kit which may be utilized to measure concentrations of halogenated volatile organic compounds (VOCs) in the field. Specifically it relates to systems for reliably field sensing the potential presence of such items while also distinguishing them from other elements potentially present. It also relates to overall systems and processes for sensing, reacting, and responding to an indicated presence of such substance, including modifications of existing halogenated sensors and arrayed sensing systems and methods.

  12. Volatile organic compound sensor system

    DOE Patents [OSTI]

    Schabron, John F. (Laramie, WY); Rovani, Jr., Joseph F. (Laramie, WY); Bomstad, Theresa M. (Waxahachie, TX); Sorini-Wong, Susan S. (Laramie, WY); Wong, Gregory K. (Laramie, WY)

    2011-03-01T23:59:59.000Z

    Generally, this invention relates to the development of field monitoring methodology for new substances and sensing chemical warfare agents (CWAs) and terrorist substances. It also relates to a portable test kit which may be utilized to measure concentrations of halogenated volatile organic compounds (VOCs) in the field. Specifically it relates to systems for reliably field sensing the potential presence of such items while also distinguishing them from other elements potentially present. It also relates to overall systems and processes for sensing, reacting, and responding to an indicated presence of such substance, including modifications of existing halogenated sensors and arrayed sensing systems and methods.

  13. National Laboratory Dorene Price

    E-Print Network [OSTI]

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

  14. National Laboratory Dorene Price

    E-Print Network [OSTI]

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

  15. Intraclass Price Elasticity & Electric Rate Design

    E-Print Network [OSTI]

    Gresham, K. E.

    1987-01-01T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Haining, R.

    1983-11-01T23:59:59.000Z

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

  17. A Discussion on Pricing Relational Data Magdalena Balazinska, Bill Howe, Paraschos Koutris,

    E-Print Network [OSTI]

    Anderson, Richard

    of the costs of producing and maintaining the data by charging these pharmaceutical companies a price pricing mechanisms to fail: they have a high and irrecoverable fixed cost (producing the data is expensiveA Discussion on Pricing Relational Data Magdalena Balazinska, Bill Howe, Paraschos Koutris, Dan

  18. 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

  19. Efficiency with Linear Prices? A Theoretical and Experimental Analysis of the Combinatorial Clock

    E-Print Network [OSTI]

    Cengarle, María Victoria

    Efficiency with Linear Prices? A Theoretical and Experimental Analysis of the Combinatorial Clock with complementarities among goods as they can be found in procurement, energy markets, transportation, and the sale simplicity and for its highly usable price discovery, derived by the use of linear prices. Unfor- tunately

  20. Detection of Low Volatility Organic Analytes on Soils Using Infrared...

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

    Low Volatility Organic Analytes on Soils Using Infrared Reflection Spectroscopy. Detection of Low Volatility Organic Analytes on Soils Using Infrared Reflection Spectroscopy....

  1. 2011 Spring : Highly Distinguished Honors Highly Distinguished

    E-Print Network [OSTI]

    Kasman, Alex

    Elizabeth Campbell Highly Distinguished Bowker Ripley Eden Highly Distinguished Brandfass Lara Rose Highly Distinguished Brotherton Cara Price Highly Distinguished Brown Anna Laughlin Highly Distinguished Brown Chloe Alix Highly Distinguished Brown Kelsey Michelle Highly Distinguished Brown Kyle Truman Highly

  2. 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.

  3. Coal keeps the home fires burning, at a price

    SciTech Connect (OSTI)

    O'Connell, J.

    2007-11-15T23:59:59.000Z

    The wild ride of 2007 thermal and coking coal and freight prices does not show any signs of abating as 2008 nears, leaving consumers coping with historic high costs, except in the US. 3 figs.

  4. DIAGNOSING VULNERABILITY, EMERGENT PHENOMENA, and VOLATILITY in MANMADE NETWORKS

    E-Print Network [OSTI]

    Arrowsmith, David

    electricity NORDPOOL time series spot price electricity in European markets Spatial and topological maps;MANMADE its scope The project concerns the compound networks that comprise Europe's critical systems #12;First steps - datasets High voltage electricity grid European Electricity Lines by synchronous

  5. 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

  6. 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

  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

    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

  8. 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

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

    E-Print Network [OSTI]

    Degner, Robert L

    1970-01-01T23:59:59.000Z

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

  10. Securing non-volatile memory regions

    DOE Patents [OSTI]

    Faraboschi, Paolo; Ranganathan, Parthasarathy; Muralimanohar, Naveen

    2013-08-20T23:59:59.000Z

    Methods, apparatus and articles of manufacture to secure non-volatile memory regions are disclosed. An example method disclosed herein comprises associating a first key pair and a second key pair different than the first key pair with a process, using the first key pair to secure a first region of a non-volatile memory for the process, and using the second key pair to secure a second region of the non-volatile memory for the same process, the second region being different than the first region.

  11. Mississippi Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved2009 2010

  12. Mississippi Natural Gas Prices

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National5Sales for4,645 3,625 1,006 492 742 33 111 1,613 122 40 Buildingto China (Million CubicCubic Feet) PriceLiquids, Proved2009

  13. Diesel prices decrease

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

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

  14. Diesel prices decrease

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

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

  15. Diesel prices decrease

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

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

  16. Diesel prices decrease slightly

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

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

  17. Diesel prices rise slightly

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

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

  18. 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

  19. 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

  20. 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

  1. Georgia Natural Gas Prices

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

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

  2. 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

  3. 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

  4. 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

  5. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  6. Residential propane price

    Gasoline and Diesel Fuel Update (EIA)

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

  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 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 price decreases The average

  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 price decreases The

  10. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  11. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  12. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  13. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  14. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  15. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  16. Residential propane price decreases

    Gasoline and Diesel Fuel Update (EIA)

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

  17. 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

  18. 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

  19. 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

  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,propanepropane

  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,propanepropanepropane

  2. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  3. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  4. Residential propane prices increase

    Gasoline and Diesel Fuel Update (EIA)

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

  5. 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

  6. 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

  7. 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...

  8. 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...

  9. ,"New Mexico Natural Gas Prices"

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

    ,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New Mexico Natural Gas Prices",8,"Monthly","12015","1151989" ,"Release Date:","331...

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

    E-Print Network [OSTI]

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

    2008-01-01T23:59:59.000Z

    Sold On Sale and Retail Gasoline Prices Log % Purchased Onhigher gasoline prices into retail prices, by investigatingexcluding California average retail gasoline price for all

  11. 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 EIAs natural gas price forecasts in AEO 2004 and AEOon the AEO 2005 natural gas price forecasts will likely once

  12. Postgraduate Scholarship Pricing temperature derivatives and modelling

    E-Print Network [OSTI]

    Banaji,. Murad

    the volumetric risk of the energy units sold, rather than the price risk of each unit. Weather derivativesPostgraduate Scholarship Pricing temperature derivatives and modelling the market price of risk: Pricing temperature derivatives and modelling the market price of risk. Main Supervisor: A. Alexandridis

  13. Conservation Market Price Adder Wally Gibson

    E-Print Network [OSTI]

    and offer into market, if market price justifies cost of building Utilities purchase at market price gas units Provides surplus to sell into market in moderate price periods to help cost recovery 2 Overview Market price does not equal the cost of avoided resource Market price is still

  14. The profitability of trading volatility using realvalued and symbolic models

    E-Print Network [OSTI]

    Tino, Peter

    implied volatility models . 1 Acknowledgements: This work was supported by the Austrian Science Fund (FWF

  15. Reactive flash volatilization of fluid fuels

    DOE Patents [OSTI]

    Schmidt, Lanny D.; Dauenhauer, Paul J.; Dreyer, Bradon J.; Salge, James R.

    2013-01-08T23:59:59.000Z

    The invention provides methods for the production of synthesis gas. More particularly, various embodiments of the invention relate to systems and methods for volatilizing fluid fuel to produce synthesis gas by using a metal catalyst on a solid support matrix.

  16. Advanced heat pump for the recovery of volatile organic compounds. Phase 1, Conceptual design of an advanced Brayton cycle heat pump for the recovery of volatile organic compounds: Final report

    SciTech Connect (OSTI)

    Not Available

    1992-03-01T23:59:59.000Z

    Emissions of Volatile Organic Compounds (VOC) from stationary industrial and commercial sources represent a substantial portion of the total US VOC emissions. The ``Toxic-Release Inventory`` of The US Environmental Protection Agency estimates this to be at about 3 billion pounds per year (1987 estimates). The majority of these VOC emissions are from coating processes, cleaning processes, polymer production, fuel production and distribution, foam blowing,refrigerant production, and wood products production. The US Department of Energy`s (DOE) interest in the recovery of VOC stems from the energy embodied in the recovered solvents and the energy required to dispose of them in an environmentally acceptable manner. This Phase I report documents 3M`s work in close working relationship with its subcontractor Nuclear Consulting Services (Nucon) for the preliminary conceptual design of an advanced Brayton cycle heat pump for the recovery of VOC. Nucon designed Brayton cycle heat pump for the recovery of methyl ethyl ketone and toluene from coating operations at 3M Weatherford, OK, was used as a base line for the work under cooperative agreement between 3M and ODE. See appendix A and reference (4) by Kovach of Nucon. This cooperative agreement report evaluates and compares an advanced Brayton cycle heat pump for solvent recovery with other competing technologies for solvent recovery and reuse. This advanced Brayton cycle heat pump is simple (very few components), highly reliable (off the shelf components), energy efficient and economically priced.

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

    E-Print Network [OSTI]

    Perloff, Jeffrey M.

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

  18. Improved Price Indexes for Durable Goods: Measuring the Course of Sweding Housing Prices

    E-Print Network [OSTI]

    Englund, Peter; Quigley, John M.; Redfearn, Christian L.

    1996-01-01T23:59:59.000Z

    2.3. Explanations for the price development may be sought ina similar pattern of price development across regions during

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

  20. 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

  1. Stochastic analysis of selected hedging strategies for cotton in the Texas Southern High Plains

    E-Print Network [OSTI]

    Richardson, Willis A.

    2013-02-22T23:59:59.000Z

    farmers. Farmers have risk management tools in the futures and options markets that could help them with the problems they face regarding price volatility. Questions remain about how they should hedge their crops, when they should hedge, and in which...

  2. Advanced design concepts for PWR and BWR high-performance annular fuel assemblies

    E-Print Network [OSTI]

    Ellis, Tyler Shawn

    2006-01-01T23:59:59.000Z

    Sobering electricity supply and demand projections, coupled with the current volatility of energy prices, have underscored the seriousness of the challenges which lay ahead for the utility industry. This research addresses ...

  3. 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.

  4. Texas Farm Commodity Prices.

    E-Print Network [OSTI]

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

    1948-01-01T23:59:59.000Z

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

  5. Determining Price Reasonableness in Federal ESPCs

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

    of effort expected. Prices for performance-period services cover mainly labor hours. Preventive maintenance and R&R prices also include replacement parts. A primary standard...

  6. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

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

  7. Flow of Volatile-Free and Volatile-Rich Basaltic Magmas through Elastic-Walled Dikes

    E-Print Network [OSTI]

    Al Hanbali, Ahmad

    averaged in "one-dimensional" flow tube. #12;Questions: Can we obtain a simple 1D symmetric model) Anisotropy 1 in horizontal and vertical rock stress #12;Elastic flow equations Continuity equation t(m bFlow of Volatile-Free and Volatile-Rich Basaltic Magmas through Elastic-Walled Dikes O. Bokhove

  8. 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...

  9. Edgeworth Cycles and Focal Prices: Computational Dynamic Markov Equilibria

    E-Print Network [OSTI]

    Noel, Michael D.

    2004-01-01T23:59:59.000Z

    1993). Gas Wars: Retail Gasoline Price Fluctuations,Price Cycles: Firm Interaction in the Toronto Retail GasolinePrice Cycles, Cost-based Pricing and Sticky Pricing in Retail Gasoline

  10. Investors' horizon and stock prices

    E-Print Network [OSTI]

    Parsa, Sahar

    2011-01-01T23:59:59.000Z

    This dissertation consists of three essays on the relation between investors' trading horizon and stock prices. The first chapter explores the theoretical relation between the horizon of traders and the negative externality ...

  11. 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...

  12. 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...

  13. The world price of coal

    E-Print Network [OSTI]

    Ellerman, A. Denny

    1994-01-01T23:59:59.000Z

    A significant increase in the seaborne trade for coal over the past twenty years has unified formerly separate coal markets into a world market in which prices move in tandem. Due to its large domestic market, the United ...

  14. Asset Prices and Exchange Rates

    E-Print Network [OSTI]

    Pavlova, Anna

    2003-08-01T23:59:59.000Z

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

  15. The power of dynamic pricing

    SciTech Connect (OSTI)

    Faruqui, Ahmad; Hledik, Ryan; Tsoukalis, John

    2009-04-15T23:59:59.000Z

    Using data from a generic California utility, it can be shown that it is feasible to develop dynamic pricing rates for all customer classes. These rates have the potential to reduce system peak demands from 1 to 9 percent. (author)

  16. Gasoline price volatility and the elasticity of demand for gasoline1 C.-Y. Cynthia Lina

    E-Print Network [OSTI]

    Lin, C.-Y. Cynthia

    externalities including local air pollution, global climate change, accidents, congestion, and dependence at reducing demand for gasoline or reducing pollution from automobiles. The latter could be addressed

  17. Quantifying the value that wind power provides as a hedge against volatile natural gas prices

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2002-01-01T23:59:59.000Z

    EIA). 1997-2001. Annual Energy Outlook. Each years reportand presented in their Annual Energy Outlook (AEO) series

  18. Essays on Resource Allocation and Management, Price Volatility and Applied Nonparametrics

    E-Print Network [OSTI]

    Nigatu, Getchew Sisay

    2012-01-01T23:59:59.000Z

    Pollution: A Nonparametric Envi- ronmental Kuznets Curve 4.1to the environmental Kuznets curve: special issue.2005). The Environmental Kuznets Curve semi- parametrically

  19. Stock market volatility and price discovery : three essays on the effect of macroeconomic information

    E-Print Network [OSTI]

    Rangel, Jose Gonzalo

    2006-01-01T23:59:59.000Z

    Modified GARCH (1,1) Model with Non Persistent AnnouncementModified GARCH (1,1) Model with Non Persistent AnnouncementModified GARCH (1,1) Model with Non Persistent Announcement

  20. Unexpected consequences of demand response : implications for energy and capacity price level and volatility

    E-Print Network [OSTI]

    Levy, Tal Z. (Tal Ze'ev)

    2014-01-01T23:59:59.000Z

    Historically, electricity consumption has been largely insensitive to short term spot market conditions, requiring the equating of supply and demand to occur almost exclusively through changes in production. Large scale ...

  1. Essays on Resource Allocation and Management, Price Volatility and Applied Nonparametrics

    E-Print Network [OSTI]

    Nigatu, Getchew Sisay

    2012-01-01T23:59:59.000Z

    2.3.2.2 Hydropower Production Constraints . . . . . . . .water for irrigation and hydropower sectors, taking intom 3 per month), HP D dt = hydropower water demand (m 3 per

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

    these are simple forward power purchase contracts, and areof these forward power purchases can signi?cantly enhanceaspect of long-term power purchases; instead I set hedging

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2007-01-01T23:59:59.000Z

    Orlando, FL: Dryden Press, 1988. PJM Interconnection Marketmonitor/downloads/mmu- reports/pjm-som-2004.pdf. FIGURE 1:gures are taken from the PJM (2005), pages 82-83. California

  4. Statistical properties of the volatility of price fluctuations Yanhui Liu,1

    E-Print Network [OSTI]

    Stanley, H. Eugene

    Gopikrishnan,1, * Pierre Cizeau,1, Martin Meyer,1, Chung-Kang Peng,1,2 and H. Eugene Stanley1, 1 Center

  5. Pricing QoS over transport networks

    E-Print Network [OSTI]

    Bouras, Christos

    Pricing QoS over transport networks Christos Bouras and Afrodite Sevasti The authors Christos and Technology Network (GRNET), Athens, Greece. Keywords Pricing, Performance measurement (quality), Transport allocation and service pricing, with particular needs for pricing mechanisms that preserve the potential

  6. Pricing Information Goods Hal R. Varian

    E-Print Network [OSTI]

    Varian, Hal R.

    on prices except the $1 a copy reproduction costs. Since this price is likely inadequate to recover fixed different prices. As we will see below, this will be true even for a producer who is only interested in costPricing Information Goods by Hal R. Varian University of Michigan June 1995 Current version: June

  7. 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

  8. Explaining the Price of Voluntary Carbon Offsets

    E-Print Network [OSTI]

    Conte, Marc N.; Kotchen, Matthew

    2009-01-01T23:59:59.000Z

    Energy and Sustainable Development, Stanford Univer- sity. Figure 1: Histogram of carbon offset prices (

  9. 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.

  10. Market concentration, strategic suppliers, and price dispersion

    E-Print Network [OSTI]

    Wade, Chad R.

    2009-05-15T23:59:59.000Z

    A central result in price theory is the law of one price: prices of a homogeneous good sold at different locations should be equal. Empirical studies of the law of one price find that it is often violated. In my dissertation ...

  11. 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

  12. Volatile Organic Emissions from Carpets

    E-Print Network [OSTI]

    Hodgson, A.T.

    2008-01-01T23:59:59.000Z

    irritation by airborne allyl acetate, allyl alcohol, andcompounds. For example, allyl acetate (2-propenyl acetate),acetate, was found to be highly irritating as were other allyl

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  14. Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships

    E-Print Network [OSTI]

    Rothman, Daniel

    Who is Exposed to Gas Prices? How Gasoline Prices Affect Automobile Manufacturers and Dealerships-busse@kellogg.northwestern.edu, knittel@mit.edu, f-zettelmeyer@kellogg.northwestern.edu #12;Who is Exposed to Gas Prices? How Gasoline of gasoline prices, and consumer responses to gasoline prices have been well studied. In this paper

  15. 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

  16. Forecasting Volatility in Stock Market Using GARCH Models

    E-Print Network [OSTI]

    Yang, Xiaorong

    2008-01-01T23:59:59.000Z

    Forecasting volatility has held the attention of academics and practitioners all over the world. The objective for this master's thesis is to predict the volatility in stock market by using generalized autoregressive conditional heteroscedasticity(GARCH...

  17. CEC-500-2010-FS-017 Volatility of Ultrafine Particulate

    E-Print Network [OSTI]

    Gas Vehicles TRANSPORTATION ENERGY RESEARCH PIER Transportation Research www. Limited research has been done to characterize compressed natural gas mass emissions and practically-volatile and semi-volatile fractions of ultrafine particulate matter emissions from compressed natural gas vehicles

  18. Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections 2013 Edition (Presentation)

    SciTech Connect (OSTI)

    Feldman, D.; Margolis, R.; James, T.; Goodrich, A.; Barbose, G.; Dargouth, N.; Weaver, S.; Wiser, R.

    2013-09-01T23:59:59.000Z

    This briefing provides a high-level overview of historical, recent, and projected near-term PV system pricing trends in the United States, drawing on several ongoing research activities from the Lawrence Berkeley National Laboratory and the National Renewable Energy Laboratory. It also discusses the different methodologies and factors that impact the estimated price of a PV system, such as system size, location, technology, and reporting methods. These factors, including timing, can have a significant impact on system pricing.

  19. Photovoltaic System Pricing Trends: Historical, Recent, and Near-Term Projections. 2014 Edition (Presentation)

    SciTech Connect (OSTI)

    Feldman, D.; Barbose, G.; Margolis, R.; James, T.; Weaver, S.; Darghouth, N.; Fu, R.; Davidson, C.; Booth, S.; Wiser, R.

    2014-09-01T23:59:59.000Z

    This presentation, based on research at Lawrence Berkeley National Laboratory and the National Renewable Energy Laboratory, provides a high-level overview of historical, recent, and projected near-term PV pricing trends in the United States focusing on the installed price of PV systems. It also attempts to provide clarity surrounding the wide variety of potentially conflicting data available about PV system prices. This PowerPoint is the third edition from this series.

  20. X-ray elemental online analyzer measures volatiles

    SciTech Connect (OSTI)

    Klein, A.; Pilz, K.; Reich, K. [Indutech Instruments GmbH, Simmersfeld (Germany)

    2008-04-15T23:59:59.000Z

    The use of an online XRF analyser for determining the volatiles content of coal is outlined. 3 figs.

  1. Real Time Pricing and the Real Live Firm

    SciTech Connect (OSTI)

    Moezzi, Mithra; Goldman, Charles; Sezgen, Osman; Bharvirkar, Ranjit; Hopper, Nicole

    2004-05-26T23:59:59.000Z

    Energy economists have long argued the benefits of real time pricing (RTP) of electricity. Their basis for modeling customers response to short-term fluctuations in electricity prices are based on theories of rational firm behavior, where management strives to minimize operating costs and optimize profit, and labor, capital and energy are potential substitutes in the firm's production function. How well do private firms and public sector institutions operating conditions, knowledge structures, decision-making practices, and external relationships comport with these assumptions and how might this impact price response? We discuss these issues on the basis of interviews with 29 large (over 2 MW) industrial, commercial, and institutional customers in the Niagara Mohawk Power Corporation service territory that have faced day-ahead electricity market prices since 1998. We look at stories interviewees told about why and how they respond to RTP, why some customers report that they can't, and why even if they can, they don't. Some firms respond as theorized, and we describe their load curtailment strategies. About half of our interviewees reported that they were unable to either shift or forego electricity consumption even when prices are high ($0.50/kWh). Reasons customers gave for why they weren't price-responsive include implicit value placed on reliability, pricing structures, lack of flexibility in adjusting production inputs, just-in-time practices, perceived barriers to onsite generation, and insufficient time. We draw these observations into a framework that could help refine economic theory of dynamic pricing by providing real-world descriptions of how firms behave and why.

  2. Proboscis extension reflex platform for volatiles and semi-volatiles detection

    DOE Patents [OSTI]

    Wingo, Robert M. (Los Alamos, NM); McCabe, Kirsten J. (Los Alamos, NM); Haarmann, Timothy K. (Jemez Pueblo, NM)

    2010-11-30T23:59:59.000Z

    The present invention provides an apparatus for the detection of volatile and semi-volatile chemicals using the olfactory abilities of honey bees that are trained to respond to the presence of a specific chemical in a sample of gas with the proboscis extension reflex (PER). In particular, the geometry and arrangement of the parts of the apparatus are such that the amount of surface area in contact with the sample of gas prior to its introduction to the bees is minimized to improve the detection of particular volatile and semi-volatile that have a tendency to "stick" to contacting surfaces, especially certain chemicals associated with explosives and narcotics. According to another aspect of the present invention, a pre-concentrating means is incorporated with the device to effectively increase the concentration of "sticky" chemicals presented to the insects.

  3. Online measurements of the emissions of intermediate-volatility and semi-volatile organic compounds from aircraft

    E-Print Network [OSTI]

    Herndon, S. C.

    A detailed understanding of the climate and air quality impacts of aviation requires measurements of the emissions of intermediate-volatility and semi-volatile organic compounds (I/SVOCs) from aircraft. Currently both the ...

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

    Energy Savers [EERE]

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

  5. 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

  6. 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

  7. 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.

  8. 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 EIAs natural gas price forecasts in AEOsolely on the AEO 2005 natural gas price forecasts willComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

  9. 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

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

    E-Print Network [OSTI]

    Bolinger, Mark A.

    2010-01-01T23:59:59.000Z

    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

  11. 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

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2009-01-01T23:59:59.000Z

    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

  13. CASE CRITICAL Are high gas prices

    E-Print Network [OSTI]

    Hall, Sharon J.

    , Practice of Sustainable Energy Systems, School of Sustainability Distinguished Sustainability Scientist Institute of Sustainability. Friday, April 13, 2012 12:001:30 p.m. (lunch will be served) Wrigley Hall of the Memorial Union For more information about this and other events, visit sustainability.asu.edu/events RSVP

  14. 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,

  15. Operation of Distributed Generation Under Stochastic Prices

    SciTech Connect (OSTI)

    Siddiqui, Afzal S.; Marnay, Chris

    2005-11-30T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kolstad, Jonathan; Wolak, Frank

    2003-01-01T23:59:59.000Z

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

  17. 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

  18. Arrowhead Center: Modeling Energy Market Volatility Report Title: Modeling Energy Market Volatility

    E-Print Network [OSTI]

    Johnson, Eric E.

    10 5 Percent Change in Oil and Gas Extraction Employment: REMI Historic 2000 to 2009 and Experiment 2 in New Mexico 2 2 US Oil Rig Counts and WTI Spot Prices January 2000 to December 2009 7 3 US Natural Gas Rig Counts and Henry Hub Spot Price January 2000 to December 2009 7 4 US Oil and Gas Rig Counts

  19. adjusted loan pricing: Topics by E-print Network

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

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

  20. Tariff-based analysis of commercial building electricity prices

    E-Print Network [OSTI]

    Coughlin, Katie M.; Bolduc, Chris A.; Rosenquist, Greg J.; Van Buskirk, Robert D.; McMahon, James E.

    2008-01-01T23:59:59.000Z

    4 Calculation of Electricity Prices 4.1 Averageaverage seasonal and annual electricity prices by region inbased annual average electricity price vs. annual energy

  1. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    of actual prices exceeds -the projections of regulatedbe compared to a projection of what price trends would haveand projections related to supplies, demands, margins, and prices. --------

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

    E-Print Network [OSTI]

    Noel, Michael

    2004-01-01T23:59:59.000Z

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

  3. Essays on Automotive Lending, Gasoline Prices, & Automotive Demand

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

    National average retail gasoline prices peaked at over $so that average retail gasoline prices can be employed. Myrapid run-up in retail gasoline prices in recent history.

  4. Effects on milk yield and composition of infusions of volatile fatty acids and caseinate into

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Effects on milk yield and composition of infusions of volatile fatty acids and caseinate isoenergetic infusions of either a low (17 mol/day of 64% acetic, 21% propionic and 15% butyric acids) or high that with infusions, energy and nitrogen needs were met and consisted of 60% maize silage, 10% hay, 21.5% energy

  5. FIELD SCREENING FOR HALOGENATED VOLATILE ORGANIC COMPOUNDS

    SciTech Connect (OSTI)

    John F. Schabron; Joseph F. Rovani, Jr.; Theresa M. Bomstad

    2003-07-01T23:59:59.000Z

    Western Research Institute (WRI) is continuing work toward the development of new screening methodology and a test kit to measure halogenated volatile organic compounds (VOCs) in the field. Heated diode and corona discharge sensors are commonly used to detect leaks of refrigerants from air conditioners, freezers, and refrigerators. They are both selective to the presence of halogens. In prior work, the devices were tested for response to carbon tetrachloride, heptane, toluene, and water vapors. In the current work, sensor response was evaluated with sixteen halogenated VOCs relative to carbon tetrachloride. The results show that the response of the various chlorinated VOCs is within an order of magnitude of the response to carbon tetrachloride for each of the sensors. Thus, for field screening a single response factor can be used. Both types of leak detectors are being further modified to provide an on-board LCD signal readout, which is related to VOC concentration. The units will be fully portable and will operate with 115-V line or battery power. Signal background, noise level, and response data on the Bacharach heated diode detector and the TIF corona discharge detector show that when the response curves are plotted against the log of concentration, the plot is linear to the upper limit for the particular unit, with some curvature at lower levels. When response is plotted directly against concentration, the response is linear at the low end and is curved at the high end. The dynamic ranges for carbon tetrachloride of the two devices from the lower detection limit (S/N=2) to signal saturation are 4-850 vapor parts per million (vppm) for the corona discharge unit and 0.01-70 vppm for the heated diode unit. Additional circuit modifications are being made to lower the detection limit and increase the dynamic response range of the corona discharge unit. The results indicate that both devices show potential utility for future analytical method development work toward the goal of developing a portable test kit for screening halogenated VOCs in the field.

  6. Diesel prices continue to decrease

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

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

  7. Diesel prices continue to rise

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

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

  8. Diesel prices slightly decrease nationally

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

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

  9. Diesel prices slightly increase nationally

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

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

  10. Diesel prices up this week

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

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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. Pricing and bandwidth allocation problems in wireless multi-tier networks

    E-Print Network [OSTI]

    Boyer, Edmond

    Pricing and bandwidth allocation problems in wireless multi-tier networks Camila Maria Gabriel- tecture changes to cope with high throughput, energy and cost- efficiency demands. Emerging solutions. In these heterogeneous networks, we study the joint service pricing and bandwidth allocation problem at the operator

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

    E-Print Network [OSTI]

    Kaminsky, Werner

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

  18. Sample and Implied Volatility in GARCH Models

    E-Print Network [OSTI]

    Kokoszka, Piotr

    Sample and Implied Volatility in GARCH Models Lajos Horva´th University of Utah Piotr Kokoszka Utah of various GARCH-type models is a function hðq? of the parameter vector q which is estimated by bq. For most distributions of the differences ^2 ? hðq? and ^2 ? hðbq? for broad classes of GARCH-type models. Even though

  19. Essays on equity prices and market structures

    E-Print Network [OSTI]

    Wu, Juan

    2009-05-15T23:59:59.000Z

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

  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. Essays on Risk Sharing and Pricing

    E-Print Network [OSTI]

    Tran, Ngoc-Khanh

    2012-01-01T23:59:59.000Z

    This thesis consists of three chapters in asset pricing. Chapter 1 considers an international asset pricing setting with traded and non-traded out puts. It shows that output fluctuations in nontraded industries are a central ...

  2. An Empirical Test of Pricing Kernel Monotonicity

    E-Print Network [OSTI]

    Beare, Brendan K.; Schmidt, Lawrence

    2011-01-01T23:59:59.000Z

    and Mancini, L. (2008). A GARCH option pricing model with ?H. H. (2011). Realized GARCH: A joint model for returns andO (2010) use an asymmet- ric GARCH model to obtain pricing

  3. Essays on trades and security prices

    E-Print Network [OSTI]

    Obizhaeva, Anna

    2007-01-01T23:59:59.000Z

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

  4. 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...

  5. Spot pricing of public utility services

    E-Print Network [OSTI]

    Bohn, Roger E.

    1982-01-01T23:59:59.000Z

    This thesis analyzes how public utility prices should be changed over time and space. Earlier static and non spatial models of public utility pricing emerge as special cases of the theory developed here. Electricity is ...

  6. Pricing strategies under heterogeneous service requirements

    E-Print Network [OSTI]

    Boucherie, Richard J.

    prioriti- zation is useless; if there were no price difference between the priority classes, all users/Lucent Technologies, P.O. Box 636, Murray Hill, NJ 07974, United States. In other words: the prices of the priority

  7. Credit Price Optimisation within Retail Banking

    E-Print Network [OSTI]

    2013-10-25T23:59:59.000Z

    to a more flexible demand-based pricing strategy, see Skugge (2011). ... Ferguson (2007) bid-response models are presented for customised .... problem, the fundamental building blocks of the credit price optimisation problem is set out below.

  8. 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

  9. Davison Health Center Price List*

    E-Print Network [OSTI]

    Royer, Dana

    student account. Please see a Health Center representative for more information. Under the Affordable CareDavison Health Center Price List* Beginning Fall 2013, visits and most services to the Health Act, many of the immunizations and lab tests below are covered by insurance (sexual health testing

  10. Intraclass Price Elasticity & Electric Rate Design

    E-Print Network [OSTI]

    Gresham, K. E.

    INTRACLASS PRICE ELASTICITY &ELECTRIC RATE DESIGN KEVIN E. GRESHAM Senior Research Analyst Houston Lighting & Power Company Houston, Texas ABSTRACT PRICE ELASTICITY Electric ~ate design relies on cost incur rance for pricing and pricing... industries are already affecting electric utilities. Cogeneration is one example of competition which effects electric utilities. Utilities now have a competing source of generation which often causes load and revenue losses. Competition has specifically...

  11. 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

  12. PRICING ENERGY DERIVATIVES BY LINEAR PROGRAMMING: TOLLING AGREEMENT CONTRACTS

    E-Print Network [OSTI]

    Uryasev, Stanislav

    PRICING ENERGY DERIVATIVES BY LINEAR PROGRAMMING: TOLLING AGREEMENT CONTRACTS Valeriy Ryabchenko for pricing energy derivatives known as tolling agreement contracts. The pricing problem is reduced energy derivatives. The problem of pricing such contracts falls into the class of multiple optimal

  13. Understanding Trends in Wind Turbine Prices Over the Past Decade

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    Innovation and the price of wind energy in the US. Energythe impact of energy price changes on wind turbine prices.Costs 3.6 Energy Prices Life-cycle analyses of wind projects

  14. Export prices and increasing world competition: evidence from French, German, and Italian pricing behavior

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    Export prices and increasing world competition: evidence from French, German, and Italian pricing,version1-3Apr2014 #12;Export prices and increasing world competition: evidence from French, German, and Italian pricing behavior Sarah Guillou Stefano Schiavo July 2007 Abstract The paper compares the export

  15. 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

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

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

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

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

    E-Print Network [OSTI]

    Jaimungal, Sebastian

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

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

    marginal price or an option contract on energy at a given strike price will be "in the money", i to price energy call options and generation capacity and to evaluate the inframarginal profit whether the plant will be able, on average, to recover its amortized fixed cost. The pricing of energy

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

    E-Print Network [OSTI]

    Paris-Sud XI, Universit 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

  20. Recent supermarket prices may reflect strong consumer demand

    E-Print Network [OSTI]

    Liskiewicz, Maciej

    's population should help to sustain relatively high prices that are needed to pay for the labor- and management) efficient horticultural practices; 5) effective management of weeds, pests and diseases; 6) timely crop management plan" should be derived to reflect the specific philosophy (eg., organic vs. conven

  1. USAGE-BASED PRICING DIFFERENTIATION FOR

    E-Print Network [OSTI]

    Huang, Jianwei

    cost, complex pricing schemes are not "customer- friendly" and discourage customers from usingCHAPTER 1 USAGE-BASED PRICING DIFFERENTIATION FOR COMMUNICATION NETWORKS: INCOMPLETE INFORMATION AND LIMITED PRICING CHOICES Shuqin Li, Ph.D.1 and Jianwei Huang, Ph.D.2 1 Research and Innovation, Alcatel

  2. 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

  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 , Valerie Mignon , Alexis Penot 6th April 2005 Abstract

  4. Multicriteria Spatial Price Networks: Statics and Dynamics

    E-Print Network [OSTI]

    Nagurney, Anna

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

  5. TENDER AND ACCEPTANCE FORM STIPULATED PRICE CONTRACT

    E-Print Network [OSTI]

    deYoung, Brad

    TENDER AND ACCEPTANCE FORM FOR STIPULATED PRICE CONTRACT June 2013 #12;Stipulated Price Contract with that of all Subcontractors working on the Project. (See Appendix "D" for sample schedule that must be submitted within 10 days #12;Stipulated Price Contract Tender and Acceptance Form Page 2 of contract award

  6. Why Do Motor Gasoline Prices Vary Regionally? California Case Study

    Reports and Publications (EIA)

    1998-01-01T23:59:59.000Z

    Analysis of the difference between the retail gasoline prices in California and the average U.S. retail prices.

  7. WENO and Blended BDF Discretizations for Option Pricing

    E-Print Network [OSTI]

    Oosterlee, Cornelis W. "Kees"

    values does not only depend on the stock price, but also on other functions of the price development

  8. Determining Price Reasonableness in Federal ESPCs

    SciTech Connect (OSTI)

    Shonder, J.A.

    2005-03-08T23:59:59.000Z

    This document reports the findings and implementation recommendations of the Price Reasonableness Working Group to the Federal ESPC Steering Committee. The working group was formed to address concerns of agencies and oversight organizations related to pricing and fair and reasonable price determination in federal energy savings performance contracts (ESPCs). This report comprises the working group's recommendations and is the proposed draft of a training curriculum on fair and reasonable price determination for users of federal ESPCs. The report includes: (1) A review of federal regulations applicable to determining price reasonableness of federal ESPCs (section 2), (2) Brief descriptions of the techniques described in Federal Acquisition Regulations (FAR) 15.404-1 and their applicability to ESPCs (section 3), and (3) Recommended strategies and procedures for cost-effectively completing price reasonableness determinations (sections 4). Agencies have struggled with fair and reasonable price determinations in their ESPCs primarily because this alternative financing vehicle is relatively new and relatively rare in the federal sector. The methods of determining price reasonableness most familiar to federal contracting officers (price competition based on the government's design and specifications, in particular) are generally not applicable to ESPCs. The regulatory requirements for determining price reasonableness in federal ESPCs have also been misunderstood, as federal procurement professionals who are inexperienced with ESPCs are further confused by multiple directives, including Executive Order 13123, which stresses life-cycle cost-effectiveness. Uncertainty about applicable regulations and inconsistent practice and documentation among agencies have fueled claims that price reasonableness determinations have not been sufficiently rigorous in federal ESPCs or that the prices paid in ESPCs are generally higher than the prices paid for similar goods and services obtained through conventional procurements. While claims of excessive prices are largely unsubstantiated and based on anecdotal evidence, the perception that there is a problem is shared by many in the ESPC community and has been noted by auditors and oversight organizations. The Price Reasonableness Working Group determined that a more formal emphasis on FAR 15.404-1 in the ESPC process could remove much of the doubt about price reasonableness determinations. The working group's recommended consensus policy on price reasonableness stresses the price analysis techniques described in the FAR that are applicable to ESPCs and includes guidance for agencies use of these techniques in determining price reasonableness for their ESPC delivery orders. The recommended policy and guidance, if communicated to federal ESPC stakeholders, can ensure that agencies will comply with the FAR in awarding ESPCs, obtain fair and reasonable prices and best value for the government, and follow procedures that provide auditable documentation of due diligence in price reasonableness determinations.

  9. Energy Prices, Tariffs, Taxes and Subsidies in Ukraine

    SciTech Connect (OSTI)

    Evans, Meredydd

    2007-04-01T23:59:59.000Z

    For many years, electricity, gas and district heating tariffs for residential consumers were very low in Ukraine; until recently, they were even lower than in neighbouring countries such as Russia. The increases in gas and electricity tariffs, implemented in 2006, are an important step toward sustainable pricing levels; however, electricity and natural gas (especially for households) are still priced below the long-run marginal cost. The problem seems even more serious in district heating and nuclear power. According to the Ministry of Construction, district heating tariffs, on average, cover about 80% of costs. Current electricity prices do not fully include the capital costs of power stations, which are particularly high for nuclear power. Although the tariff for nuclear electricity generation includes a small decommissioning charge, it has not been sufficient to accumulate necessary funds for nuclear plants decommissioning.

  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, Universit 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. State energy-price system: 1981 update

    SciTech Connect (OSTI)

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

    1983-08-01T23:59:59.000Z

    This report updates the State Energy Price Data System (STEPS) to include state-level energy prices by fuel and by end-use sectors for 1981. Both physical unit prices and Btu prices are presented. Basic documentation of the data base remains generally the same as in the original report: State Energy Price System; Volume 1: Overview and Technical Documentation (DOE/NBB-0029 Volume 1 of 2, November 1982). The present report documents only the changes in procedures necessitated by the update to 1981 and the corrections to the basic documentation.

  12. State energy price and expenditure report 1991

    SciTech Connect (OSTI)

    Not Available

    1993-09-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1975, 1980, and 1985 through 1991. Data for all years, 1970 through 1991, are available on personal computer diskettes. Documentation in Appendix A describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. This report is an update of the State Energy Price and Expenditure Report 1990, published in September 1992.

  13. Scaling and memory of intraday volatility return intervals in stock market

    E-Print Network [OSTI]

    Wang, F; Stanley, H E; Yamasaki, K; Havlin, Shlomo; Wang, Fengzhong; Yamasaki, Kazuko

    2006-01-01T23:59:59.000Z

    We study the return interval $\\tau$ between price volatilities that are above a certain threshold $q$ for 31 intraday datasets, including the Standard & Poor's 500 index and the 30 stocks that form the Dow Jones Industrial index. For different threshold $q$, the probability density function $P_q(\\tau)$ scales with the mean interval $\\bar{\\tau}$ as $P_q(\\tau)={\\bar{\\tau}}^{-1}f(\\tau/\\bar{\\tau})$, similar to that found in daily volatilities. Since the intraday records have significantly more data points compared to the daily records, we could probe for much higher thresholds $q$ and still obtain good statistics. We find that the scaling function $f(x)$ is consistent for all 31 intraday datasets in various time resolutions, and the function is well approximated by the stretched exponential, $f(x)\\sim e^{-a x^\\gamma}$, with $\\gamma=0.38\\pm 0.05$ and $a=3.9\\pm 0.5$, which indicates the existence of correlations. We analyze the conditional probability distribution $P_q(\\tau|\\tau_0)$ for $\\tau$ following a certa...

  14. 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.

  15. Polymer price hikes meet mixed results

    SciTech Connect (OSTI)

    Coeyman, M.

    1993-02-03T23:59:59.000Z

    Quantum's announcement that it will temporarily shut down 150 million lbs/year of high-density polyethylene (HDPE) capacity at its Clinton, IA plant did little to lift spirits among fellow producers. There's still a lot of capacity out there - and a lot more due to come on, say one. Many agree with Charles Neivert, president of New Vernon Associates (Morristown, NJ), who sums up the cutback in three words: Not nearly enough. Despite the loss of 250 million-275 million lbs/year of HDPE capacity last year when OxyChem shut down its Orange, TX plant, and an additional 400 million lbs/year during the month of December when Solvay took equipment down for maintenance at Deer Park, TX, the market is still awash in capacity. In addition, Phillips is planning to bring 600 million lbs/year online late this year, while Formosa is scheduled to add 500 million lbs/year and Himont 200 million lbs/year, both in 1994. HDPE producers have been trying for a price increase since August but so far have not succeeded. The polypropylene market looks much the same. Low-density PE, however is quite another story. Although the 2-cts/lb price initiative on Jan. 1 failed, a Feb. 1 increase seems likely to stick.

  16. In-Situ Contained And Of Volatile Soil Contaminants

    DOE Patents [OSTI]

    Varvel, Mark Darrell (Idaho Falls, ID)

    2005-12-27T23:59:59.000Z

    The invention relates to a novel approach to containing and removing toxic waste from a subsurface environment. More specifically the present invention relates to a system for containing and removing volatile toxic chemicals from a subsurface environment using differences in surface and subsurface pressures. The present embodiment generally comprises a deep well, a horizontal tube, at least one injection well, at least one extraction well and a means for containing the waste within the waste zone (in-situ barrier). During operation the deep well air at the bottom of well (which is at a high pressure relative to the land surface as well as relative to the air in the contaminated soil) flows upward through the deep well (or deep well tube). This stream of deep well air is directed into the horizontal tube, down through the injection tube(s) (injection well(s)) and into the contaminate plume where it enhances volatization and/or removal of the contaminants.

  17. In-Situ Containment and Extraction of Volatile Soil Contaminants

    DOE Patents [OSTI]

    Varvel, Mark Darrell

    2005-12-27T23:59:59.000Z

    The invention relates to a novel approach to containing and removing toxic waste from a subsurface environment. More specifically the present invention relates to a system for containing and removing volatile toxic chemicals from a subsurface environment using differences in surface and subsurface pressures. The present embodiment generally comprises a deep well, a horizontal tube, at least one injection well, at least one extraction well and a means for containing the waste within the waste zone (in-situ barrier). During operation the deep well air at the bottom of well (which is at a high pressure relative to the land surface as well as relative to the air in the contaminated soil) flows upward through the deep well (or deep well tube). This stream of deep well air is directed into the horizontal tube, down through the injection tube(s) (injection well(s)) and into the contaminate plume where it enhances volatization and/or removal of the contaminants.

  18. aqueous volatile organic: Topics by E-print Network

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

    Mirna 1997-01-01 39 Impacts of herbaceous bioenergy crops on atmospheric volatile organic composition and potential consequences Environmental Sciences and Ecology Websites...

  19. ambient volatile organic: Topics by E-print Network

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

    sensitivity, allowing 38 Impacts of herbaceous bioenergy crops on atmospheric volatile organic composition and potential consequences Environmental Sciences and Ecology Websites...

  20. Princeton and PPPL launch center to study volatile space weather...

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

    Princeton and PPPL launch center to study volatile space weather and violent solar storms By John Greenwald December 12, 2013 Tweet Widget Google Plus One Share on Facebook...

  1. Volatiles as a link between planetary interiors and the environment

    E-Print Network [OSTI]

    Black, Benjamin A. (Benjamin Alexander)

    2013-01-01T23:59:59.000Z

    Volatiles derived from planetary interiors influence magma evolution and environmental processes. Over appropriate timescales, Earth's mantle, crust, ocean, and atmosphere constitute coupled systems. The apparently synchronous ...

  2. Growth History Of Kilauea Inferred From Volatile Concentrations...

    Open Energy Info (EERE)

    Inferred From Volatile Concentrations In Submarine-Collected Basalts Jump to: navigation, search OpenEI Reference LibraryAdd to library Journal Article: Growth History Of Kilauea...

  3. Partitioning of Volatile Organics in Diesel Particulate and Exhaust...

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

    in Diesel Particulate and Exhaust Evaluation of how sampling details affect the measurement of volatile organic compounds in diesel exhaust deer08strzelec.pdf More Documents...

  4. Ammonia volatilization from N fertilizers surface applied on bermudagrass

    E-Print Network [OSTI]

    Panossian, Jack B.

    1980-01-01T23:59:59.000Z

    . The biological activity was measured by trapping the CO in NaOH (0. 422 N). The NH3 which was volatilized from the urea was trapped in boric acid according to Bremner (1965). Volatilized NH and evolved CO were measured daily by titrating the boric acid and 13... was passed over the soil surface, then bubbled into boric acid to trap volatilized NH (Bremner, 1965). Humidified air was used to prevent rapid soil drying which would retard NH volatilization (Ernst and Massey, 1960). The apparatus is diagrammed in Fig. 1...

  5. Innovative Utility Pricing for Industry

    E-Print Network [OSTI]

    Ross, J. A.

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

  6. Diesel prices see slight drop

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

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

  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

    The main ?xed cost for the LDC is the installation andprice, the price at which the LDC receives natural gas. 2per unit fees imply that LDC revenues are highly seasonal

  8. TMVOC, simulator for multiple volatile organic chemicals

    SciTech Connect (OSTI)

    Pruess, Karsten; Battistelli, Alfredo

    2003-03-25T23:59:59.000Z

    TMVOC is a numerical simulator for three-phase non-isothermal flow of water, soil gas, and a multicomponent mixture of volatile organic chemicals (VOCs) in multidimensional heterogeneous porous media. It is an extension of the TOUGH2 general-purpose simulation program developed at the Lawrence Berkeley National Laboratory. TMVOC is designed for applications to contamination problems that involve hydrocarbon fuel or organic solvent spills in saturated and unsaturated zones. It can model contaminant behavior under ''natural'' environmental conditions, as well as for engineered systems, such as soil vapor extraction, groundwater pumping, or steam-assisted source remediation. TMVOC is upwards compatible with T2VOC (Falta et al., 1995) and can be initialized from T2VOC-style initial conditions. The main enhancements in TMVOC relative to T2VOC are as follows: a multicomponent mixture of volatile organic chemicals can be modeled; any and all combinations of the three phases water-oil-gas are treated; several non-condensible gases may be present; diffusion is treated in all phases in a manner that is fully coupled with phase partitioning. This paper gives a brief summary of the methodology used in TMVOC as well as highlighting some implementation issues. Simulation of a NAPL spill and subsequent remediation is discussed for a 2-D vertical section of a saturated-unsaturated flow problem.

  9. 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.

  10. A Big Data Approach to Analyzing Market Volatility

    SciTech Connect (OSTI)

    Wu, Kesheng; Bethel, E. Wes; Gu, Ming; Leinweber, David; Ruebel, Oliver

    2013-06-05T23:59:59.000Z

    Understanding the microstructure of the financial market requires the processing of a vast amount of data related to individual trades, and sometimes even multiple levels of quotes. Analyzing such a large volume of data requires tremendous computing power that is not easily available to financial academics and regulators. Fortunately, public funded High Performance Computing (HPC) power is widely available at the National Laboratories in the US. In this paper we demonstrate that the HPC resource and the techniques for data-intensive sciences can be used to greatly accelerate the computation of an early warning indicator called Volume-synchronized Probability of Informed trading (VPIN). The test data used in this study contains five and a half year?s worth of trading data for about 100 most liquid futures contracts, includes about 3 billion trades, and takes 140GB as text files. By using (1) a more efficient file format for storing the trading records, (2) more effective data structures and algorithms, and (3) parallelizing the computations, we are able to explore 16,000 different ways of computing VPIN in less than 20 hours on a 32-core IBM DataPlex machine. Our test demonstrates that a modest computer is sufficient to monitor a vast number of trading activities in real-time ? an ability that could be valuable to regulators. Our test results also confirm that VPIN is a strong predictor of liquidity-induced volatility. With appropriate parameter choices, the false positive rates are about 7percent averaged over all the futures contracts in the test data set. More specifically, when VPIN values rise above a threshold (CDF > 0.99), the volatility in the subsequent time windows is higher than the average in 93percent of the cases.

  11. Organizational Adaptation in Volatile Environments Kathleen M. Carley

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Organizational Adaptation in Volatile Environments Kathleen M. Carley Dept. of Social and Decision. Citation: Kathleen M. Carley, 2000, "Organizational Adaptation in Volatile Environments" Ch. 11 in C. L. Hulin & D. R. Ilgen (Eds.) Computational Modeling in Organizational Behavior: The Third Scientific

  12. Pollution and the price of power

    SciTech Connect (OSTI)

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

    2008-07-01T23:59:59.000Z

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

  13. State energy price and expenditure report 1994

    SciTech Connect (OSTI)

    NONE

    1997-06-01T23:59:59.000Z

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

  14. 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.

  15. Appliance Efficiency Standards and Price Discrimination

    SciTech Connect (OSTI)

    Spurlock, Cecily Anna

    2013-05-08T23:59:59.000Z

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

  16. 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 (

  17. State energy price and expenditure report 1993

    SciTech Connect (OSTI)

    NONE

    1995-12-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 states and the District of Columbia and in aggregate for the US. The five economic sectors used in SEPER correspond to those used in SEDR and are residential, commercial, industrial, transportation, and electric utility. Documentation in appendices describe how the price estimates are developed, provide conversion factors for measures used in the energy analysis, and include a glossary. 65 tabs.

  18. State energy price and expenditure report 1992

    SciTech Connect (OSTI)

    Not Available

    1994-12-01T23:59:59.000Z

    The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates individually for the 50 States and the District of Columbia and in aggregate for the United States. The price and expenditure estimates are provided by energy source and economic sector and are published for the years 1970, 1980, and 1985 through 1992. Data for all years, 1970 through 1992, are available on personal computer diskettes.

  19. 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 ...

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

    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

  1. Application of Dynamic Pricing toApplication of Dynamic Pricing to Retail and Supply Chain ManagementRetail and Supply Chain Management

    E-Print Network [OSTI]

    Marcotte, Patrice

    profit Variable cost Profit increase of 8.0% Capture 1% price increase Fixed cost Price is the biggestApplication of Dynamic Pricing toApplication of Dynamic Pricing to Retail and Supply Chain OF PRESENTATION ·· The pricing challengeThe pricing challenge ·· The practice of pricingThe practice of pricing

  2. Prices

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

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

  3. Prices

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

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

  4. Prices

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

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

  5. Prices

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

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

  6. 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 ConsumersThousand CubicCubic Feet) Year JanThousand Cubic68.4 68.0

  7. 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 ConsumersThousand CubicCubic Feet) Year JanThousand Cubic68.4

  8. 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 ConsumersThousand CubicCubic Feet) Year JanThousand Cubic68.4103.5

  9. 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 Feb Mar(DollarsCubicThousand68.7 68.6 63.5 58.9 55.6 59.7

  10. The Price of Feed Utilities.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01T23:59:59.000Z

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

  11. Propane (Consumer Grade) Prices - Industrial

    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(MillionPrice8.PDFThousand7. ConsumptionNov-14698 1.873

  12. Diesel prices continue to decrease

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

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

  13. Diesel prices continue to decrease

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

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

  14. Diesel prices continue to decrease

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

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

  15. Diesel prices continue to decrease

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

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

  16. Diesel prices continue to decrease

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

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

  17. Diesel prices continue to decrease

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

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

  18. Diesel prices continue to decrease

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

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

  19. Diesel prices continue to fall

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

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

  20. Diesel prices continue to increase

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

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

  1. Diesel prices continue to increase

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

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

  2. Diesel prices continue to increase

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

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

  3. Diesel prices continue to increase

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

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

  4. Diesel prices continue to increase

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

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

  5. Diesel prices remain fairly stable

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

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

  6. 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

  7. 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)

  8. 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)

  9. 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.

  10. 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.

  11. Gasoline prices decrease (Short version)

    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, 2014 Gasoline pricesGasolineShort

  12. Gasoline prices decrease (long version)

    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, 2014 Gasoline5, 2014 Gasoline prices

  13. Gasoline prices decrease (short version)

    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, 2014 Gasoline5, 2014Gasoline prices

  14. 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

  15. 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

  16. 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

  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 The averageheating oil

  18. 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

  19. 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

  20. 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,

  1. 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

  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

  3. 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

  4. 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

  5. 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,

  6. 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,

  7. 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

  8. 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

  9. 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

  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 Theheatingheating

  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 Theheatingheatingheating

  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

  13. 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

  14. 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

  15. 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

  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 oil3, 2014heating

  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, 2014heating5,

  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,

  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,heating oil

  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,heating

  1. 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,

  2. Single-Product Pricing via Robust Optimization

    E-Print Network [OSTI]

    2006-01-30T23:59:59.000Z

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

  3. Optimal Pricing Policies for Perishable Products

    E-Print Network [OSTI]

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

  4. Sustainably Priced Energy Enterprise Development (SPEED) Goals

    Broader source: Energy.gov [DOE]

    Vermont's Sustainably Priced Energy Enterprise Development (SPEED) Program was created by legislation in 2005 to promote renewable energy development. The SPEED program itself is not a renewable...

  5. 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.

  6. Nonlinear Pricing in Energy and Environmental Markets

    E-Print Network [OSTI]

    Ito, Koichiro

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Owen, Cynthia Jane

    1987-01-01T23:59:59.000Z

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

  8. PRICE, GEORGE George Price, 1922-1975, trained as a chemist, contrib-

    E-Print Network [OSTI]

    Frank, Steven A.

    powerful expression of his altru- ism theory. In his second contribution, Price developed a model for how

  9. The role of non-volatile memory from an application perspective

    SciTech Connect (OSTI)

    Kettering, Brett M [Los Alamos National Laboratory; Nunez, James A [Los Alamos National Laboratory

    2010-09-16T23:59:59.000Z

    Current, emerging, and future NVM (non-volatile memory) technologies give us hope that we will be able to architect HPC (high performance computing) systems that initially use them in a memory and storage hierarchy, and eventually use them as the memory and storage for the system, complete with ownership and protections as a HDD-based (hard-disk-drive-based) file system provides today.

  10. Shadow Prices vs. Vickrey Prices in Multipath Routing Parthasarathy Ramanujam, Zongpeng Li, Lisa Higham

    E-Print Network [OSTI]

    Li, Zongpeng

    gain, measuring cost reduction due to link capacity increment. Vickrey prices and gains help routing [3], [8], paying a rational link its claimed cost plus its Vickrey price economically motivates a truthful report in cost. Shadow prices, from a primal-dual perspective, are optimal dual solutions where

  11. 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...

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

  13. 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...

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

    E-Print Network [OSTI]

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

  15. myPower Pricing Pilot Final Findings myPower Pricing Pilot Segments

    E-Print Network [OSTI]

    Understand how price signals can influence customers' energy usage patterns. Test customers' reaction that transferred energy pricing and interval consumption data to and from the customer's meter. To try multiple-way communications to transfer energy pricing and interval consumption data and allowed PSE&G to test customer

  16. 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

  17. Durable Goods, Price Indexes, and Monetary Policy

    E-Print Network [OSTI]

    Han, Kyoung Soo

    2009-05-15T23:59:59.000Z

    The dissertation studies the relationship among durable goods, price indexes and monetary policy in two sticky-price models with durable goods. One is a one-sector model with only durable goods and the other is a two-sector model with durable...

  18. Pricing in Information-Centric Network Interconnection

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

    --ICN interconnection, economic incentives, col- laborative caching, non-cooperative games, network pricing. I economic incentives for caching and sharing content in ICN interconnection. For example, an ISP provider Engineering Department, ETH Zurich, Switzerland Abstract--We propose a pricing model to study the economic

  19. Fortuna: Model Checking Priced Probabilistic Timed Automata

    E-Print Network [OSTI]

    Vaandrager, Frits

    Fortuna: Model Checking Priced Probabilistic Timed Automata Jasper Berendsen, David N. Jansen.O. Box 9010, 6500 GL Nijmegen, the Netherlands Abstract. We introduce Fortuna, the first tool for model checking priced probabilistic timed automata (PPTAs). Fortuna can handle the combination of real

  20. On Accurate Trinomial GARCH Option Pricing

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

    On Accurate Trinomial GARCH Option Pricing Algorithms Advisor: Prof. Yuh-Dauh Lyuu Chun-Yang Liu Department of Computer Science and Information Engineering National Taiwan University #12;Abstract The GARCH-based GARCH option pricing algorithms suffer from exponential running time, inaccuracy, or other problems

  1. Trends in Utility Green Pricing Programs (2005)

    SciTech Connect (OSTI)

    Bird, L.; Brown, E.

    2006-10-01T23:59:59.000Z

    This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs.

  2. Hardwood price reporting. Forest Service research paper

    SciTech Connect (OSTI)

    Sohngen, B.L.; Haynes, R.W.

    1994-02-01T23:59:59.000Z

    The prices for red alder (Alnus rubra) hardwood logs are published and analyzed for reliability, consistency, and robustness. Timberland managers can use these prices to make decisions about land management. They show that values for red alder logs have been increasing steadily for the last 11 years.

  3. Market concentration, strategic suppliers, and price dispersion

    E-Print Network [OSTI]

    Wade, Chad R.

    2009-05-15T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

  5. ORNL/TM-2004/307 Determining Price Reasonableness

    E-Print Network [OSTI]

    Oak Ridge National Laboratory

    ORNL/TM-2004/307 Determining Price Reasonableness in Federal ESPCs John A. Shonder and Erica Atkin...................................................................................................... 1 1.2 Importance of Price Reasonableness in ESPCs ................................................................................................. 4 2. FEDERAL REQUIREMENTS FOR DETERMINING FAIR AND REASONABLE PRICING IN ESPCS

  6. 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

  7. 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

  8. Some Simple Analytics of Peak-Load Pricing

    E-Print Network [OSTI]

    Bergstrom, Ted; Mackie-Mason, Jeffrey K.

    1991-01-01T23:59:59.000Z

    the introduction o f time-of-use pricing, the questions weResponse in Time- of-Use Electricity Pricing Experiments."time of use are homothetic and identical, moving from uniform pricing

  9. Some Simple Analytics of Peak-Load Pricing

    E-Print Network [OSTI]

    Bergstrom, Ted; MacKie-Mason, Jeffrey

    1991-01-01T23:59:59.000Z

    the introduction of time-of-use pricing, the questions weResponse in Time- of-Use Electricity Pricing Experiments."time of use are homothetic and identical, moving from uniform pricing

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

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

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

  11. The Role of Demand Response in Default Service Pricing

    E-Print Network [OSTI]

    Barbose, Galen; Goldman, Chuck; Neenan, Bernie

    2006-01-01T23:59:59.000Z

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

  12. Natural gas pricing in the Northeastern U.S.

    E-Print Network [OSTI]

    Gunnarshaug, Jasmin

    1998-01-01T23:59:59.000Z

    This paper examines natural gas pricing at five citygate locations in the northeastern United States using daily and weekly price series for the years 1994-97. In particular, the effects of the natural gas price at Henry ...

  13. 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 ...

  14. Economics of Plant Energy Savings Projects in a Changing Market

    E-Print Network [OSTI]

    White, D. C.

    2011-01-01T23:59:59.000Z

    Energy prices have exhibited significant volatility in recent years. For example, natural gas prices ranged from $4 to $15 per MM BTU's in calendar years 2005 through 2011. Future prices are uncertain but are likely to retain a high level...

  15. Nitrogen Trifluoride-Based Fluoride- Volatility Separations Process: Initial Studies

    SciTech Connect (OSTI)

    McNamara, Bruce K.; Scheele, Randall D.; Casella, Andrew M.; Kozelisky, Anne E.

    2011-09-28T23:59:59.000Z

    This document describes the results of our investigations on the potential use of nitrogen trifluoride as the fluorinating and oxidizing agent in fluoride volatility-based used nuclear fuel reprocessing. The conceptual process uses differences in reaction temperatures between nitrogen trifluoride and fuel constituents that produce volatile fluorides to achieve separations and recover valuable constituents. We provide results from our thermodynamic evaluations, thermo-analytical experiments, kinetic models, and provide a preliminary process flowsheet. The evaluations found that nitrogen trifluoride can effectively produce volatile fluorides at different temperatures dependent on the fuel constituent.

  16. U.S. Virgin Islands Petroleum Price-Spike Preparation

    SciTech Connect (OSTI)

    Johnson, C.

    2012-06-01T23:59:59.000Z

    This NREL technical report details a plan for the U.S. Virgin Islands (USVI) to minimize the economic damage caused by major petroleum price increases. The assumptions for this plan are that the USVI will have very little time and money to implement it and that the population will be highly motivated to follow it because of high fuel prices. The plan's success, therefore, is highly dependent on behavior change. This plan was derived largely from a review of the actions taken and behavior changes made by companies and commuters throughout the United States in response to the oil price spike of 2008. Many of these solutions were coordinated by or reported through the 88 local representatives of the U.S. Department of Energy's Clean Cities program. The National Renewable Energy Laboratory provides technical and communications support for the Clean Cities program and therefore serves as a de facto repository of these solutions. This plan is the first publication that has tapped this repository.

  17. State Energy Price System: 1982 update

    SciTech Connect (OSTI)

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

    1984-10-01T23:59:59.000Z

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

  18. Wholesale marginal prices in competitive generation markets

    SciTech Connect (OSTI)

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

    1997-05-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-01-01T23:59:59.000Z

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

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

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

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