Sample records for levels spot prices

  1. 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 ...

  2. 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 ...

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

    E-Print Network [OSTI]

    Lyuu, Yuh-Dauh

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

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

    E-Print Network [OSTI]

    California at Berkeley. University of

    spread call options. power spot price delivery at PV gas spot price SoCal system 8000 heat rate When power. When the spot market implied heat rate is below the unit operating heat rate, generator should1 POWER '99 Conference 1 Stochastic Models of Electricity Spot Price and their Applications Shijie

  5. Evidence of randomness in United States spot oil prices

    SciTech Connect (OSTI)

    Howard, B.W.

    1989-01-01T23:59:59.000Z

    This study investigates U.S. crude oil spot-market prices to determine if they were cyclical, autoregressive, or random in nature. The fact that oil-price volatility emerged only with the rise of spot markets meant that data for this type of an analysis were not previously available. The hypothesis tested was that U.S. crude oil price changes are neither cyclical nor autocorrelated, and are, therefore, random. Daily data on U.S. crude oil spot market prices (for the period of December 3, 1984 to November 4, 1988) were analyzed using spectral analysis; this converts time-series data into a frequency series, where it can be analyzed using more-powerful statistical methods. The spectral results of the price series gave a maximum power spectrum of 0.026, which is considerably smaller than the significance level of 0.052, considered acceptable using a 99% confidence level. The conclusion reached was that there was no significant cyclicality or autocorrelation in the data. This indicated that the U.S. crude oil prices are efficient, and that it would not be possible to predict crude oil price changes by using historical price data, seasonality, or business cycles.

  6. A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND

    E-Print Network [OSTI]

    Kallsen, Jan

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

  7. Modelling spot and forward prices for energy companies

    E-Print Network [OSTI]

    Bhulai, Sandjai

    Modelling spot and forward prices for energy companies Dafydd Steele MSc Stochastics and Financial forward and spot prices for energy com- panies. The two main ways of modelling power prices are stochastic Mathematics dafydd.steele@edf-energy.com August 5, 2010 #12;Abstract The focus of this thesis is on modelling

  8. 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

  9. 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 ...

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

    E-Print Network [OSTI]

    Jawitz, James W.

    Addressing the Level of Florida's Electricity Prices Theodore Kury1 Public of electricity prices by state changes over time due to a number of factors: · Investment decisions ratepayers; · Electric utilities also buy on the spot market and prices can fluctuate quickly when

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

    SciTech Connect (OSTI)

    Not Available

    1993-06-01T23:59:59.000Z

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

  12. A k-factor GIGARCH process: Estimation and Application on electricity market spot prices.

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    A k-factor GIGARCH process: Estimation and Application on electricity market spot prices. Abdou Kâ time series of market data, such as electricity spot price, exhibit long-memory, in the sense of slowly this approach to electricity prices (spot prices) from the German energy market (European Energy e

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

    E-Print Network [OSTI]

    Laughlin, Robert B.

    of Electricity Spot Prices on Electricity Forward Prices Summary of Results The vital link between the spot price electric prices today and the forward price of electricity. Instead, forward prices should mostly reflect electricity in the West, forward gas prices should, in large part, explain forward electricity prices. Our

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

    SciTech Connect (OSTI)

    Not Available

    1993-05-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Kallsen, Jan

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

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

    E-Print Network [OSTI]

    Draft 1e ESTIMATING THE VOLATILITY OF SPOT PRICES IN RESTRUCTURED ELECTRICITY MARKETS path. Accurate valuation of claims based on competitive electricity prices has proved problematic, as electricity price data are not well represented by traditional commodity price models of Brownian motion

  17. 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 important feature. Spot prices for electricity have been very volatile with dramatic price spikes occurring insight into the behavior of spot prices for electricity, and in particular, to model the type

  18. 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.

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

    SciTech Connect (OSTI)

    Not Available

    1993-04-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Forecasting electricity spot market prices with a k-factor GIGARCH process. Abdou Kâ Diongue this method to the German electricity price market for the period August 15, 2000 - De- cember 31, 2002 and we; Electricity prices; Forecast; GIGARCH process. Corresponding author: Universite Gaston Berger de Saint

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

    E-Print Network [OSTI]

    Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 9, 2009 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity and electricity prices is a relevant issue. Numerous diffusion-type and econometric models have been proposed

  2. 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

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

    E-Print Network [OSTI]

    Gerkmann, Ralf

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

  4. 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

  5. Charts and graphs: NUKEM Uranium price ange data; NUKEM Uranium historical price graph; U.S. DOE & euratom average contract prices for natural uranium; NUKEM SWU historical price graph; NUKEM SWU spot/secondary price range; U.S. DOE separative work prices data

    SciTech Connect (OSTI)

    NONE

    1996-04-01T23:59:59.000Z

    This article is the uranium market data summary. It contains data for the following subjects: (1) March 1996 transactions, (2) Uranium price range data, (3) Historical uranium price range data, (4) DOE and Euratom average contract prices for natural uranium, (5) SWU historical price data, (6) SWU/spot/secondary price range data, and (7) DOE SWU prices data.

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

    E-Print Network [OSTI]

    Park, Haesun

    2005-11-01T23:59:59.000Z

    Pool (SPP), Entergy (ENT), and Electric Reliability Council of Texas (ERCOT). Approximate locations of the spot markets are shown in Figure 2.1. Plots of the price series for each market are provided in Figure 2.2. One day lagged U.S. aggregate...

  7. Reduced form electricity spot price modeling with a view towards spike risk

    E-Print Network [OSTI]

    Gerkmann, Ralf

    Reduced form electricity spot price modeling with a view towards spike risk Prof. Dr. Meyer. Februar 2010, 16:15 Uhr Seminarraum, Ludwigstra?e 33 I The recent deregulation of electricity markets has led to the creation of energy exchanges, where the electricity is freely traded. We study the most

  8. PRICE LEVELS AND DISPERSION WITH ASYMMETRIC INFORMATION.

    E-Print Network [OSTI]

    Bhattacharya, Tanmoy

    2011-01-01T23:59:59.000Z

    ??In the extensive literature on price dispersions that exists to date, there is a gap in the analysis of how market structure affects prices as (more)

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

    E-Print Network [OSTI]

    following the FERC's `open access' reforms of the late 1980s. Daily spot prices at 76 market locations from segmented from the more loosely integrated Western market. Thus, although the FERC reforms have contributed Commission (FERC) implemented a series of far-reaching regulatory reforms. These reforms were designed

  10. The implications of consumer surplus levels for equitable pricing decisions

    E-Print Network [OSTI]

    Christensen, Neal Alan

    1989-01-01T23:59:59.000Z

    THE IMPLICATIONS OF CONSUMER SURPLUS LEVELS POR EQUITABLE PRICING DECISIONS A Thesis by NEAL ALAN CHRISTENSEN Submitted to the Office of Graduate Studies of Texas A&M University in partial fulfillment of the requirements for the degree... of MASTER OF SCIENCE August 1989 Major Subject: Recreation and Resources Development THE IMPLICATIONS OF CONSUMER SURPLUS LEVELS FOR EQUITABLE PRICING DECISIONS A Thesis by NEAL ALAN CHRISTENSEN Approved as to style and content by: William P...

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

    E-Print Network [OSTI]

    Ramberg, David J. (David John)

    2010-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2011-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

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

    E-Print Network [OSTI]

    Boyer, Edmond

    The recent deregulation of energy markets has led to the development in several countries of market places for developing a risk management framework as well as pricing of options. Many derivatives on both electricity to price projects in energy (see [12] for an introduction). Thus, modelling jointly the evolution of gas

  15. Value of Irrigation Water with Alternative Input Prices, Product Prices and Yield Levels: Texas High Plains and Rio Grande Valley

    E-Print Network [OSTI]

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

    risen to record levels; because of the energy crisis and the rapid rate of inflation, prices of fertilizer and fuel have at least doubled, and the price of other farm inputs have risen substantially. These price changes, in absolute and relative terms...

  16. 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

  17. ,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio"Associated-Dissolved Natural Gas,

  18. ,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio"Associated-Dissolved Natural

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

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

  20. ,"Weekly Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S.Summary"LNGShaleNetHenry Hub

  1. Price-based Congestion-Control in Wi-Fi Hot Spots Roberto Battiti(*), Marco Conti(**), Enrico Gregori(**), Mikalai Sabel(*)

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    if they are in the transmission range of an access point. A new business model, named Wi-Fi Hot Spots, is now emerging to exploit offer with Wi-Fi. To reach an efficient use of the scarce bandwidth resources, market mechanisms the potentialities of this technology. A hot spot is a "critical" business area, e.g., airports, stations, hotels

  2. 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

  3. 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 (

  4. 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

  5. The Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 to 1996

    E-Print Network [OSTI]

    Ahmad, Sajjad

    that structural breaks may be important. Since the economy depends heavily on oil revenue, oil price shocks haveThe Long-Run Relationship between Money, Nominal GDP, and the Price Level in Venezuela: 1950 and the price level in the Venezuelan economy. We apply time-series econometric techniques to annual data

  6. The d-Level Nested Logit Model: Assortment and Price Optimization Problems

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    The d-Level Nested Logit Model: Assortment and Price Optimization Problems Guang Li Paat, 2013 @ 2:27pm Abstract We provide a new formulation of the d-level nested logit model using a tree the optimal assort- ment. For a d-level nested logit model with n products, the running time of the algorithm

  7. 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...

  8. Essays on the household-level effects of house price growth

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01T23:59:59.000Z

    Constructing measures of house price variance . . . . 2.4.4Flip That House? House Price Dynamics and Housing InvestmentHouse Price Data . . . . . . . . . . . . . . . . . . . . .

  9. 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.

  10. Shifting demand or just moving price?: A multi-level analysis of student price demand for college education and state policy preferences

    E-Print Network [OSTI]

    Okahana, Hironao

    2013-01-01T23:59:59.000Z

    education: Enrollment, prices, student aid and outcomes,D. E. (1997). Student price response in higher education: AnP. T. (1987). Student price response in higher education:

  11. Regions for Select Spot 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromising ScienceRecentRegional companies eye growth

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

    E-Print Network [OSTI]

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

    risen to record levels; because of the energy crisis and the rapid rate of inflation, prices of fertilizer and fuel have at least doubled, and the price of other farm inputs have risen substantially. These price changes, in absolute and relative terms...

  13. Time series analysis and long range correlations of Nordic spot electricity market

    E-Print Network [OSTI]

    Wright, Francis

    , 21020 Ispra(VA), Italy Abstract The electricity system price of the Nord Pool spot market is analysed. Weron and Przybylowicz [19] studied the electricity prices using Hurst R/S analysis and showed anti energy spot price time series. The question of modelling electricity spot prices has also been addressed

  14. 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

    demand with respect to the crude oil price is 0.347. Table 5for North Sea crude oil (Brent Crude Spot Price), andheatinginclude the spot price of Brent crude oil. We instrument for

  15. Essays on the household-level effects of house price growth

    E-Print Network [OSTI]

    Sitgraves, Claudia Ayanna

    2009-01-01T23:59:59.000Z

    Irreversible invest- ment, real options, and competition:land prices: Evidence for real options in seattle. JournalGrowth controls, real options, and land development. Re-

  16. A branch-and-price algorithm for multi-mode resource leveling

    E-Print Network [OSTI]

    Eamonn T. Coughlan

    2010-03-01T23:59:59.000Z

    Mar 1, 2010 ... We present a branch-and-price approach together with a new heuristic to solve the more general turnaround scheduling problem. Besides...

  17. Sourcing Flexibility, Spot Trading, and Procurement Contract Structure

    E-Print Network [OSTI]

    Pei, Pamela Pen-Erh

    We analyze the structure and pricing of option contracts for an industrial good in the presence of spot trading. We combine the analysis of spot trading and buyers' disparate private valuations for different suppliers' ...

  18. The NordPool Market The spot and electricity forward relation

    E-Print Network [OSTI]

    Pfeifer, Holger

    The NordPool Market The spot and electricity forward relation Spot price modelling HJM approach to forwards Conclusions Modelling and pricing in electricity markets Fred Espen Benth Work in collaboration and electricity forward relation Spot price modelling HJM approach to forwards Conclusions Overview

  19. 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 ...

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

    E-Print Network [OSTI]

    Testing The Effects Of Price Responsive Demand On Uniform Price And Soft-Cap Electricity Auctions R. The soft-cap market has not worked well. Spot prices for electricity in California remained consistently of different electric power markets with respect to price volatility and average market price. In particular

  1. Nodal Prices and Transmission Rights: a Critical Appraisal

    E-Print Network [OSTI]

    Varaiya, Pravin

    prices equal the marginal valuation of net benefits at different locations, they provide the right in a regulatory quagmire. #12; 2 I. Introduction Nodal prices, or locational spot prices, are a key instrument and abroad. In particular, we will demonstrate the pitfalls of using locational spot price differences

  2. Empirical analysis of the spot market implications ofprice-elastic demand

    SciTech Connect (OSTI)

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

    2004-07-08T23:59:59.000Z

    Regardless of the form of restructuring, deregulated electricity industries share one common feature: the absence of any significant, rapid demand-side response to the wholesale (or, spotmarket) price. For a variety of reasons, electricity industries continue to charge most consumers an average cost based on regulated retail tariff from the era of vertical integration, even as the retailers themselves are forced to purchase electricity at volatile wholesale prices set in open markets. This results in considerable price risk for retailers, who are sometimes forbidden by regulators from signing hedging contracts. More importantly, because end-users do not perceive real-time (or even hourly or daily) fluctuations in the wholesale price of electricity, they have no incentive to adjust their consumption in response to price signals. Consequently, demand for electricity is highly inelastic, and electricity generation resources can be stretched to the point where system stability is threatened. This, then, facilitates many other problems associated with electricity markets, such as market power and price volatility. Indeed, economic theory suggests that even modestly price-responsive demand can remove the stress on generation resources and decrease spot prices. To test this theory, we use actual generator bid data from the New York control area to construct supply stacks, and intersect them with demand curves of various slopes to approximate different levels of demand elasticity. We then estimate the potential impact of real-time pricing on the equilibrium spot price and quantity. These results indicate the immediate benefits that could be derived from a more price-elastic demand. Such analysis can provide policymakers with a measure of how effective price-elastic demand can potentially reduce prices and maintain consumption within the capability of generation resources.

  3. 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

  4. Mutual Fund Trading Pressure: Firm-Level Stock Price Impact and Timing of SEOs

    E-Print Network [OSTI]

    Khan, Mozaffar Nayim

    We use price pressure resulting from purchases by mutual funds with large capital inflows to identify overvalued equity. This is a relatively exogenous overvaluation indicator as it is associated with who is buyingbuyers ...

  5. Prices and Price Setting.

    E-Print Network [OSTI]

    R.P. Faber (Riemer)

    2010-01-01T23:59:59.000Z

    ??abstractThis thesis studies price data and tries to unravel the underlying economic processes of why firms have chosen these prices. It focuses on three aspects (more)

  6. Strategic Behavior in Spot Markets for Electricity when Load is Stochastic Department of Agricultural, Resource, and Managerial Economics

    E-Print Network [OSTI]

    Strategic Behavior in Spot Markets for Electricity when Load is Stochastic T.D. Mount Department of market power to raise prices above competitive levels in the UK market for electricity has been discussed in an electricity market. In spite of this abundant evidence, regulators in the USA have been relatively unconcerned

  7. 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.

  8. U.S. diesel fuel price continue to decrease; lowest level since March 2010

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportationdiesel fuel price continue to decrease;

  9. U.S. gasoline prices at lowest level since November 2010

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLasDelivered energy consumption by sector Transportationdieselgasoline priceNovemberU.S.More

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

    E-Print Network [OSTI]

    /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 25 0 #12;Crude Oil Price: Nominal vs. Real Spot Oil Price: West Texas Intermediate [Prior'82=Posted

  11. Flexible procurement strategies smooth price spikes

    SciTech Connect (OSTI)

    Gaalaas, T. [Pace Global Energy Services LLC (United States)

    2006-12-15T23:59:59.000Z

    Pace Global Energy Services has been predicting for some time that the recent peaks in spot coal prices were not sustainable and this has been borne out. The latest available data on coal supply and demand fundamental suggest that spot coal prices may decline even more rapidly than previously forecast. Price volatility over the last five years suggests that a flexible procurement strategy that is well adapted to volatile market conditions may be just as important as knowledge of market fundamentals. 3 figs.

  12. Pricing statistics sourcebook. 5. edition

    SciTech Connect (OSTI)

    NONE

    1999-11-01T23:59:59.000Z

    Thousands of historical and current prices for crude oil, NGL, petroleum products, natural gas and electric power are presented in easy to read tables. The book includes spot, posted and future prices; prices by state and by country; and monthly and annual prices. Most monthly price series go back 25 years. This comprehensive source for energy industry prices is a must for anyone involved in planning and budgeting. The Pricing Statistics Sourcebook has all of the essential key energy price statistics needed for analysis of the US and international oil and gas industries. Also include: an appendix of IEA, OECD and OPEC member lists, conversion factors heat content of fuels; and major events affecting the oil and gas industry since 1859. The book includes a summary analysis of significant changes in key data series written by Bob Beck, Economics Editor of the Oil and Gas Journal.

  13. Real-Time Pricing of Electricity: An Assessment

    E-Print Network [OSTI]

    Baughman, M. L.; Zarnikau, J.

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan; Golove, William

    2004-07-17T23:59:59.000Z

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

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

    E-Print Network [OSTI]

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

  16. Renewable Energy Prices in State-Level Feed-in Tariffs: Federal Law Constraints and Possible Solutions

    SciTech Connect (OSTI)

    Hempling, S.; Elefant, C.; Cory, K.; Porter, K.

    2010-01-01T23:59:59.000Z

    State legislatures and state utility commissions trying to attract renewable energy projects are considering feed-in tariffs, which obligate retail utilities to purchase electricity from renewable producers under standard arrangements specifying prices, terms, and conditions. The use of feed-in tariffs simplifies the purchase process, provides revenue certainty to generators, and reduces the cost of financing generating projects. However, some argue that federal law--including the Public Utility Regulatory Policies Act of 1978 (PURPA) and the Federal Power Act of 1935 (FPA)--constrain state-level feed-in tariffs. This report seeks to reduce the legal uncertainties for states contemplating feed-in tariffs by explaining the constraints imposed by federal statutes. It describes the federal constraints, identifies transaction categories that are free of those constraints, and offers ways for state and federal policymakers to interpret or modify existing law to remove or reduce these constraints. This report proposes ways to revise these federal statutes. It creates a broad working definition of a state-level feed-in tariff. Given this definition, this report concludes there are paths to non-preempted, state-level feed-in tariffs under current federal law.

  17. 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.

  18. CANNED FI H RETAIL PRICE

    E-Print Network [OSTI]

    CANNED FI H RETAIL PRICE UNITED STATES DEPARTMENT OF THE I TERI R FISH AND WILDLIFE SERVICE BUREAU to obtain average retail prices for selected canned fish items. The retail prices as contained herein by the U. S . Department of Labor in order to provide information on price levels in different cities

  19. Volatile coal prices reflect supply, demand uncertainties

    SciTech Connect (OSTI)

    Ryan, M.

    2004-12-15T23:59:59.000Z

    Coal mine owners and investors say that supply and demand are now finally in balance. But coal consumers find that both spot tonnage and new contract coal come at a much higher price.

  20. Oil Prices and Long-Run Risk.

    E-Print Network [OSTI]

    READY, ROBERT

    2011-01-01T23:59:59.000Z

    ??I show that relative levels of aggregate consumption and personal oil consumption provide anexcellent proxy for oil prices, and that high oil prices predict low (more)

  1. Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing

    E-Print Network [OSTI]

    Li, Baochun

    between periodic auctions and EC2 spot market. Furthermore, we formulate the optimal capacity segmentationTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang priced in multiple markets with different service guarantees. For example, Amazon EC2 prices virtual

  2. 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}

  3. 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

  4. Milk Pricing

    E-Print Network [OSTI]

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

    2001-09-10T23:59:59.000Z

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

  5. 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...

  6. Regular price

    E-Print Network [OSTI]

    D-LINK DWL-1000AP 802.11B Wireless LAN Access Point 11Mbps Best Deal On Earth! Regular price: $399.00. Sale price: $234.00. DWL-120> D-LINK...

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

    E-Print Network [OSTI]

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

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

    E-Print Network [OSTI]

    Huo, Xiaoming

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

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

    E-Print Network [OSTI]

    Carmona, Rene

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

  10. Joint pricing and inventory control under reference price effects.

    E-Print Network [OSTI]

    Gimpl-Heersink, Lisa

    2008-01-01T23:59:59.000Z

    ??In many firms the pricing and inventory control functions are separated. However, a number of theoretical models suggest a joint determination of inventory levels and (more)

  11. Class Pricing

    E-Print Network [OSTI]

    Wernerfelt, Birger

    2008-01-15T23:59:59.000Z

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

  12. 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.

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

    SciTech Connect (OSTI)

    Haining, R.

    1983-11-01T23:59:59.000Z

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

  14. Essays on Price Dynamics

    E-Print Network [OSTI]

    Hong, Gee Hee

    2012-01-01T23:59:59.000Z

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

  15. Essays on Three Price Judgments: Price Fairness, Price Magnitude, and Price Expectation.

    E-Print Network [OSTI]

    Bhowmick, Sandeep

    2010-01-01T23:59:59.000Z

    ??This dissertation addresses three important price judgments: price fairness, price magnitude, and price expectation. Developed over three chapters, the main objective of this research is (more)

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

    E-Print Network [OSTI]

    Kulkarni, Siddhivinayak

    2009-01-01T23:59:59.000Z

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

  17. The dynamics of commodity spot and futures markets

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01T23:59:59.000Z

    I discuss the short-run dynamics of commodity prices, production, and inventories, as well as the sources and effects of market volatility. I explain how prices, rates of production, and inventory levels are interrelated, ...

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    per capita terms. When crude oil prices are used, these areby uctuations in the crude oil price. The overall mean realcandidates are the crude oil price and the tax level. Both

  19. The Effects of the Dysfunctional Spot Market for Electricity in California

    E-Print Network [OSTI]

    The Effects of the Dysfunctional Spot Market for Electricity in California on the Cost of Forward), the Consortium for Electric Reliability Technology Solutions (CERTS) program on Reliability and Markets at the U Cruz, California. #12;ABSTRACT The unexpectedly high spot prices for electricity in the summer of 2000

  20. Towards Optimal Capacity Segmentation with Hybrid Cloud Pricing

    E-Print Network [OSTI]

    Li, Baochun

    and EC2 spot market. Furthermore, we formulate the optimal capacity segmentation strategy as a MarkovTowards Optimal Capacity Segmentation with Hybrid Cloud Pricing Wei Wang, Baochun Li, and Ben Liang markets with different service guarantees. For example, Amazon EC2 prices virtual instances under three

  1. 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.

  2. Reactor hot spot analysis

    SciTech Connect (OSTI)

    Vilim, R.B.

    1985-08-01T23:59:59.000Z

    The principle methods for performing reactor hot spot analysis are reviewed and examined for potential use in the Applied Physics Division. The semistatistical horizontal method is recommended for future work and is now available as an option in the SE2-ANL core thermal hydraulic code. The semistatistical horizontal method is applied to a small LMR to illustrate the calculation of cladding midwall and fuel centerline hot spot temperatures. The example includes a listing of uncertainties, estimates for their magnitudes, computation of hot spot subfactor values and calculation of two sigma temperatures. A review of the uncertainties that affect liquid metal fast reactors is also presented. It was found that hot spot subfactor magnitudes are strongly dependent on the reactor design and therefore reactor specific details must be carefully studied. 13 refs., 1 fig., 5 tabs.

  3. 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

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

    E-Print Network [OSTI]

    Oren, Shmuel S.

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

  5. Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices

    E-Print Network [OSTI]

    Howison, Sam

    Stochastic Behaviour of the Electricity Bid Stack: from Fundamental Drivers to Power Prices Michael) 23 October 2008 Abstract We develop a fundamental model for spot electricity prices, based prices with observed data. Keywords: electricity, bid stack, fundamental, margin, demand, natural gas 1

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

    E-Print Network [OSTI]

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

  7. Market Designs for High Levels of Variable Generation: Preprint

    SciTech Connect (OSTI)

    Milligan, M.; Holttinen, H.; Kiviluoma, J.; Orths, A.; Lynch, M.; Soder, L.

    2014-10-01T23:59:59.000Z

    Variable renewable generation is increasing in penetration in modern power systems, leading to higher variability in the supply and price of electricity as well as lower average spot prices. This raises new challenges, particularly in ensuring sufficient capacity and flexibility from conventional technologies. Because the fixed costs and lifetimes of electricity generation investments are significant, designing markets and regulations that ensure the efficient integration of renewable generation is a significant challenge. This papers reviews the state of play of market designs for high levels of variable generation in the United States and Europe and considers new developments in both regions.

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

    SciTech Connect (OSTI)

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

    2004-07-01T23:59:59.000Z

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

  9. 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

  10. 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

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

    E-Print Network [OSTI]

    Garousi, Vahid

    Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks Apostolos Serletisy in macroeconometrics and ...nancial econometrics to investigate the e¤ects of oil price shocks and uncertainty about the price of oil on the level of economic activity. JEL classi...cation: G31, E32, C32. Keywords: Oil price

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

    E-Print Network [OSTI]

    Sadoulet, Elisabeth

    Automobile 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 consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

  13. The Information Role of Spot Prices and Inventories

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteamYearTexas--State Offshore Shale Proved Reserves

  14. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr MayAtmospheric Optical Depth7-1D: Vegetation ProposedUsingFun with Bigfront.jpgcommunity200cellHeat TransferHelping Make TheHenry C.Henry

  15. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansionReservesFoot)ThousandDecade

  16. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansionReservesFoot)ThousandDecadeYear

  17. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs

  18. Spot Prices for Crude Oil and Petroleum Products

    Gasoline and Diesel Fuel Update (EIA)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328AdministrationRelease Schedule

  19. Henry Hub Natural Gas Spot Price (Dollars per Million Btu)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam CoalReserves (Million Barrels)Reserves from%Year Jan Feb Mar Apr

  20. Modelling the convenience yield in carbon prices using daily and realized measures

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    for carbon spot and futures prices, which are exchanged since 2005 on the European Union Emissions Trading Scheme (EU ETS). The EU emissions trading system has been created by the Directive 2003/87/CE. Across 27

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

    SciTech Connect (OSTI)

    NONE

    1998-11-01T23:59:59.000Z

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

  2. Monthly house price indices and their applications in New Zealand : a thesis presented in fulfilment of the requirements for the degree of Doctor of Philosophy, Department of Economics and Finance, College of Business, Massey University.

    E-Print Network [OSTI]

    Shi, Song

    2009-01-01T23:59:59.000Z

    ??Developing timely and reliable house price indices is of interest worldwide, because these measures influence consumer behaviour, inflation targeting, and spot and futures markets. Several (more)

  3. PRICE GOUGING | Department of Energy

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

    PRICE GOUGING PRICE GOUGING PRICE GOUGING More Documents & Publications PRICE GOUGING Department of Energy Response to Hurricane Katrina Fact Sheet Department of Energy Response to...

  4. Spot-spraying Johnsongrass.

    E-Print Network [OSTI]

    Rea, H. E.

    1958-01-01T23:59:59.000Z

    of naphtha and diesel fuel oil is the oil spray most generally used. Various other oil mixtures may be used for economy, for increased contact toxicity, or for a combination of contact toxicity and residual effectiveness. Oil sprays kill on contact... mixture of 40 pounds of sodium TCA and 20 pounds of sodium dalapon can be used for spot-treating sparsely infested cotton fields. It is a knock-out spray under some conditions. Maleic hydrazide (MH-30) is a translocated growth inhibitor with no residual...

  5. Spot-Oiling Johnsongrass.

    E-Print Network [OSTI]

    Elliott, Fred C.; Norris, M. J.; Rea, H. E.

    1955-01-01T23:59:59.000Z

    I TEXAS AGRICULTURAL EXTENSIO-N SERVICE G. G. Gibson, Director, College Station, Texas [Blank Page in Original Bulletin] I the bast I ir used the low I . .. 1 the fol or mort , needed SPOT-OILING JOHNSONGRASS H. E. Rea, M. J. Norris..., and Fred C. Elliott* Texas A. & M. College System ~HNSONGRASS CAN BE killed to the i ground by the application of 1 / 3 teaspoonful of a herbicidal oil to the crown of each stem. Eradication of established Johnsongrass can be obtained in a single...

  6. 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),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

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

    E-Print Network [OSTI]

    Cañizares, Claudio A.

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

  8. Optimal Scheduling under Variable Electricity Pricing and Availability

    E-Print Network [OSTI]

    Grossmann, Ignacio E.

    due dates · Location of event points ­ At demand points ­ At some energy pricing/availability levels periods with same energy pricing/power level · Only valid for single stage plants November 11, 2009 EnergyOptimal Scheduling under Variable Electricity Pricing and Availability Pedro M. Castro Iiro

  9. 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.

  10. 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

  11. 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

  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. 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 ,

  14. Edgeworth price cycles in retail gasoline markets

    E-Print Network [OSTI]

    Noel, Michael David, 1971-

    2002-01-01T23:59:59.000Z

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

  15. 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. 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

    A minimum price contract is one of many tools a marketer may use to better manage price and production risk while trying to achieve financial goals and objectives. This publication discusses the advantages and disadvantages involved...

  17. Analyzing reliability of virtual machine instances with dynamic pricing in the public cloud

    SciTech Connect (OSTI)

    Lim, Seung-Hwan [ORNL; Thakur, Gautam [ORNL; Horey, James L [ORNL

    2014-01-01T23:59:59.000Z

    This study presents reliability analysis of virtual machine instances in public cloud environments in the face of dynamic pricing. Different from traditional fixed pricing, dynamic pricing allows price to dynamically fluctuate over arbitrary period of time according to external factors such as supply and demand, excess capacity, etc. This pricing option introduces a new type of fault: virtual machine instances may be unexpectedly terminated due to conflicts in the original bid price and the current offered price. This new class of fault under dynamic pricing may be more dominant than traditional faults in cloud computing environments, where resource availability associated with traditional faults is often above 99.9%. To address and understand this new type of fault, we translated two classic reliability metrics, mean time between failures and availability, to the Amazon Web Services spot market using historical price data. We also validated our findings by submitting actual bids in the spot market. We found that overall, our historical analysis and experimental validation lined up well. Based upon these experimental results, we also provided suggestions and techniques to maximize overall reliability of virtual machine instances under dynamic pricing.

  18. 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....

  19. 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

  20. 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

  1. 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

  2. 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.

  3. Reducing the contribution of the power sector to ground-level ozone pollution : an assessment of time-differentiated pricing of nitrogen oxide emissions

    E-Print Network [OSTI]

    Craig, Michael T. (Michael Timothy)

    2014-01-01T23:59:59.000Z

    Nitrogen oxide (NOx) is a prevalent air pollutant across the United States and a requisite precursor for tropospheric (ground-level) ozone formation. Both pollutants significantly impact human health and welfare, so National ...

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

    Reports and Publications (EIA)

    2006-01-01T23:59:59.000Z

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

  5. 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.

  6. Equilibrium pricing bounds on option prices Marie Chazala

    E-Print Network [OSTI]

    Boyer, Edmond

    probability measure that is equivalent to the historical one, and under which the discounted price processesEquilibrium pricing bounds on option prices Marie Chazala and Ely`es Jouinib a CREST, France price at maturity, we derive an upper bound on the call option price by putting two kind of restrictions

  7. 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.

  8. Retrospective Evaluation of Appliance Price Trends

    E-Print Network [OSTI]

    Dale, Larry

    2010-01-01T23:59:59.000Z

    the higher the product cost and retail price. Table 3.change and appliance price Room air conditioners Small (price data to clarify price

  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. ,"Colorado Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Prices",8,"Monthly","112014","1151989" ,"Release Date:","1302015"...

  12. CCPExecutiveSummary Collusive Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary September 2011 Collusive Price Rigidity under Price-Matching Punishments W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Collusive Price Rigidity under Price and price rigidity are linked. This belief is formalised in the theory of the kinked demand curve

  13. Personalized Dynamic Pricing of Limited Inventories Goker Aydin* Serhan Ziya**

    E-Print Network [OSTI]

    Ziya, Serhan

    Personalized Dynamic Pricing of Limited Inventories Goker Aydin* Serhan Ziya** *Department@unc.edu Abstract Prior work has investigated time and inventory-level dependent pricing of limited inventories with finite selling horizons. We consider a third dimension - in addition to time and inventory level

  14. Blind spots between quantum states

    E-Print Network [OSTI]

    Eduardo Zambrano; Alfredo M Ozorio de Almeida

    2009-09-30T23:59:59.000Z

    The overlap of a large quantum state with its image, under tiny translations, oscillates swiftly. We here show that complete orthogonality occurs generically at isolated points. Decoherence, in the Markovian approximation, lifts the correlation minima from zero much more quickly than the Wigner function is smoothed into a positive phase space distribution. In the case of a superposition of coherent states, blind spots depend strongly on positions and amplitudes of the components, but they are only weakly affected by relative phases and the various degrees and directions of squeezing. The blind spots for coherent state triplets are special in that they lie close to an hexagonal lattice: Further superpositions of translated triplets, specified by nodes of one of the sublattices, are quasi-orthogonal to the original triplet and to any state, likewise constructed on the other sublattice.

  15. 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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2006-12-06T23:59:59.000Z

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

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2005-12-19T23:59:59.000Z

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

  18. Price forecasting for notebook computers.

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-01-01T23:59:59.000Z

    ??This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a (more)

  19. CCPExecutiveSummary Price low and

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPExecutiveSummary July 2010 Price low and then price high W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Price low and then price high or price high and then price low introductory price for a new product followed by a higher price. For example, if at least some consumers face

  20. Natural gas pipelines after field price decontrol : a study of risk, return and regulation

    E-Print Network [OSTI]

    Carpenter, Paul R.

    1984-01-01T23:59:59.000Z

    This is a study of a regulated industry undergoing rapid change. For the first time in its history, following the partial decontrol of field prices in 1978, natural gas is being priced at a level which places it in direct ...

  1. SIMULATING THE IMPACTS OF CLIMATE CHANGE, PRICES AND POPULATION ON CALIFORNIA'S

    E-Print Network [OSTI]

    Auffhammer, Maximilian

    temperature bins on households' electricity consumption. The estimation uses a comprehensive household level of higher electricity prices and different scenarios of population growth. Finally, simulations wereSIMULATING THE IMPACTS OF CLIMATE CHANGE, PRICES AND POPULATION ON CALIFORNIA'S RESIDENTIAL

  2. 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

  3. 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

  4. Outlook for SO{sub 2} allowance prices: are higher prices here to stay?

    SciTech Connect (OSTI)

    Gaalaas, T. [Pace Global Energy Services, LLC (United States)

    2006-02-15T23:59:59.000Z

    Continued drawdowns of the SO{sub 2} allowance 'bank' through 2007 will most likely cause SO{sub 2} allowance prices to remain well above the 2003 levels during 2006-07. And in 2010 and beyond, stricter regulation of SO{sub 2} emissions again will exert upward pressure on SO{sub 2} allowance prices. In between the potential exists for a decline in prices from current levels. Regardless, given the massive reduction in the amount of emissions allowed over the 2010-2015 time period and the continuing near-term depletion of the bank, the volatility in SO{sub 2} allowance prices is likely to be significantly greater going forward than it has been in the past. Generators should plan accordingly. 3 figs.

  5. State energy price system. Volume I: overview and technical documentation

    SciTech Connect (OSTI)

    Fang, J.M.; Nieves, L.A.; Sherman, K.L.; Hood, L.J.

    1982-06-01T23:59:59.000Z

    This study utilizes existing data sources and previous analyses of state-level energy prices to develop consistent state-level energy prices series by fuel type and by end-use sector. The fuels are electricity, natural gas, coal, distillate fuel oil, motor gasoline, diesel, kerosene, jet fuel, residual fuel, and liquefied petroleum gas. The end-use sectors are residential, commercial, industrial, transportation, and electric utility. Based upon an evaluation of existing data sources, recommendations were formulated on the feasible approaches for developing a consistent state energy price series. The data series were compiled based upon the approaches approved after a formal EIA review. Detailed documentation was provided, including annual updating procedures. Recommendations were formulated for future improvements in the collection of data or in data processing. Generally, the geographical coverage includes the 50 states and the District of Columbia. Information on state-level energy use was generally taken from the State Energy Data System (SEDS). Corresponding average US prices are also developed using volumes reported in SEDS. To the extent possible, the prices developed are quantity weighted average retail prices. Both a Btu price series and a physical unit price series are developed for each fuel. The period covered by the data series is 1970 through 1980 for most fuels, though prices for electricity and natural gas extend back to 1960. (PSB)

  6. Hot Spot | Open Energy Information

    Open Energy Info (EERE)

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to: navigation,Ohio:GreerHi GtelHomer, Alaska:Horace, NorthHorvatic JumpOpenHotPot,Spot

  7. Vehicle Sharing System Pricing Regulation: Transit Optimization of Intractable Queuing Network

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Vehicle Sharing System Pricing Regulation: Transit Optimization of Intractable Queuing Network. 1 Introduction 1.1 Context Shoup (2005) reports that, based on a sample of 22 US studies, car drivers looking for a parking spot contribute to 30% of the city traffic. Moreover cars are used less than

  8. 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)

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

    SciTech Connect (OSTI)

    Bolinger, Mark; Wiser, Ryan

    2004-12-13T23:59:59.000Z

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

  10. World Oil Price Cases (released in AEO2005)

    Reports and Publications (EIA)

    2005-01-01T23:59:59.000Z

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

  11. Credit Market Distortions, Asset Prices and Monetary Policy

    E-Print Network [OSTI]

    Pfajfar, D; Santoro, E

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

  12. Use the Acceptable Crop Price worksheet to determine breakeven prices for your crops. ACCEPTABLE PRICE WORKSHEET

    E-Print Network [OSTI]

    Netoff, Theoden

    Use the Acceptable Crop Price worksheet to determine breakeven prices for your crops. ACCEPTABLE PRICE WORKSHEET Prepared by: David Bau - Regional Extension Educator, Agricultural Business Management (August 2012) CROP INCOME EXAMPLE YOUR FARM EXAMPLE YOUR FARM (A) Crop Acres 400 400 176 46 (C) Price

  13. select h.*, p.Price as Price, NestXML(p.PricingConditions,

    E-Print Network [OSTI]

    Kemper, Alfons

    select h.*, p.Price as Price, NestXML(p.PricingConditions, p.PNGImage) as AdditionalData from Hyper Passau, Germany New Supplier Market Place select p.ProductDescription, c.Supplier, c.AdditionalData, c.Price by p.ProductDescription, c.Price expires Friday, March 29, 2002 5:00:00 PM CET Register Products XML

  14. Resistance Spot Welding of Galvanized Steel: Part II. Mechanisms of Spot Weld Nugget Formation

    E-Print Network [OSTI]

    Eagar, Thomas W.

    ( l Resistance Spot Welding of Galvanized Steel: Part II. Mechanisms of Spot Weld Nugget Formation S. A. GEDEON and T. W. EAGAR Dynamic inspection monitoring of the weld current, voltage, resistance of material variations and weld process parameter modifications on resistance spot welding of coated

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

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

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

  16. Oil Prices and Terms of Trade.

    E-Print Network [OSTI]

    Mirfacihi, Azar

    2006-01-01T23:59:59.000Z

    ?? One of the central issues in international macroeconomics is relative price movements and their sources. One such price is the price of crude oil. (more)

  17. BLIND SPOTS OF QUALITATIVE SIMULATORS Nuri Tasdemir

    E-Print Network [OSTI]

    BLIND SPOTS OF QUALITATIVE SIMULATORS by Nuri Tasdemir BS, in Electrical and Electronics in Computer Engineering Bogazici University 2007 #12;ii BLIND SPOTS OF QUALITATIVE SIMULATORS APPROVED BY: Prof. A.C. Cem Say . . . . . . . . . . . . . . . . . . . (Thesis Supervisor) Prof. H. Levent Akin

  18. 150 Years of Boom and Bust: What Drives Mineral Commodity Prices?

    E-Print Network [OSTI]

    Nesterov, Yurii

    and production levels of copper, lead, tin, zinc, and crude oil from 1840 to 2010. Price fluctuations that price surges caused by rapid industrialization are a recurrent phenomenon throughout history. Mineral that supply shocks account for the broad behavior of the price of crude oil. In contrast, Kilian (2008b, 2009

  19. Fairness and dynamic pricing: comments

    SciTech Connect (OSTI)

    Hogan, William W.

    2010-07-15T23:59:59.000Z

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

  20. 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...

  1. Spot welding of steel and aluminum using insert sheet

    SciTech Connect (OSTI)

    Oikawa, H.; Saito, T.; Yoshimura, T. [and others

    1994-12-31T23:59:59.000Z

    Automobile industries have been increasingly interested in the use of aluminum and thus joining of steel and aluminum becomes of importance. The joining of the two types of metal raises a problem of brittle welds caused by the formation of intermetallic compounds. The authors solved the problem by using an insert sheet. This paper deals with the resistance spot welding of steel and aluminum sheets using insert sheets. The insert sheet used in the present development was a steel/aluminum clad sheet of the 0.8 mm thickness with 50% steel and 50% aluminum. The clad sheet was produced by warm rolling of steel and aluminum with a direct resistance heating process. Steel to be warm rolled was of EDDQ of the 0.4 mm thickness and aluminum was of JIS A1050 of 0.6 mm thickness. The mechanical properties of the insert clad sheets were in between those of the steel sheets and the aluminum sheets, while the clad sheets showed much better formability than the aluminum sheets. Resistance spot welding was conducted for 0.8 mm thick EDDQ steel sheets and 1.0 mm thick aluminum alloy (AL-5.5%Mg) sheets under the welding force of 1.96 kN, welding current ranging between 4.2 and 20.1 kA, and welding time from 0.5 to 10 cycles. The steel was spot welded to the steel side of the insert sheet while the aluminum was welded to the aluminum side. What the authors investigated were the applicable welding current range, nugget diameter, tensile shear strength, U-tension strength, and macro- and microstructures. In conclusion, steel sheets can be spot welded to aluminum sheets without difficulty by using clad sheets as insert materials while the strength level of the dissimilar metal spot welds is close to that of aluminum joints.

  2. Residential propane 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropane prices

  3. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDiesel prices

  4. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel pricesDiesel prices decrease

  5. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel pricesDiesel prices

  6. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDiesel prices

  7. 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

  8. 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

  9. 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....

  10. Rethinking Real Time Electricity Pricing

    E-Print Network [OSTI]

    Allcott, Hunt

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

  11. Price forecasting for notebook computers

    E-Print Network [OSTI]

    Rutherford, Derek Paul

    2012-06-07T23:59:59.000Z

    This paper proposes a four-step approach that uses statistical regression to forecast notebook computer prices. Notebook computer price is related to constituent features over a series of time periods, and the rates of change in the influence...

  12. 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

  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]

    applications from a broader perspective as well as in a narrower perspective, the hydrogen fuel cell industry alanates doped with such metal catalysts. Hydrogen is one part of a balanced, strategic portfolio of energy: price@bnl.gov ACTIVATED ALUMINUM HYDRIDE HYDROGEN STORAGE COMPOSITIONS AND USES THEREOF Brookhaven

  15. China, India demand cushions prices

    SciTech Connect (OSTI)

    Boyle, M.

    2006-11-15T23:59:59.000Z

    Despite the hopes of coal consumers, coal prices did not plummet in 2006 as demand stayed firm. China and India's growing economies, coupled with solid supply-demand fundamentals in North America and Europe, and highly volatile prices for alternatives are likely to keep physical coal prices from wide swings in the coming year.

  16. CCPPolicyBriefing Resale Price

    E-Print Network [OSTI]

    Feigon, Brooke

    CCPPolicyBriefing Sept 2010 Resale Price Maintenance W: www.uea.ac.uk/ccp T: +44 (0)1603 593715 A: UEA, Norwich, NR4 7TJ Resale Price Maintenance and Restrictions on Dominant Firm and Industry-Wide Adoption BACKGROUND In June 2007, the nearly 100-year-old ban on retail price maintenance was overturned

  17. Risk Price Dynamics Jaroslav Borovicka

    E-Print Network [OSTI]

    Hansen, Lars Peter

    Risk Price Dynamics Jaroslav Borovicka University of Chicago Lars Peter Hansen University November 11, 2009 Abstract We present a novel approach to depicting asset pricing dynamics by characterizing shock exposures and prices for alternative investment horizons. We quantify the shock exposures

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

    E-Print Network [OSTI]

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

    2010-01-01T23:59:59.000Z

    contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localof the relationship between energy factor markets, leasing

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

    E-Print Network [OSTI]

    Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

    2012-01-01T23:59:59.000Z

    contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localfunction of local energy-market and weather characteristics

  20. The Potential Impact of Increased Renewable Energy Penetration Levels on Electricity Bill Savings From Residential Photovoltaic Systems

    E-Print Network [OSTI]

    Barbose, Galen

    2014-01-01T23:59:59.000Z

    Center for the Study of Energy Markets, Working Paper 172,as this is an energy-only market (i.e. no capacity market ison spot market prices in Germany, Energy Policy, 36: 3086-

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

    test bed, locational marginal prices, demand-bid price sensitivity, supply-offer price caps, learning that are separately settled each day by means of Locational Marginal Pricing (LMP). Under LMP, a separate price the complicated nonlinear effects of demand-bid price sensitivity and supply-offer price caps on Locational

  2. Canopy hot-spot as crop identifier

    SciTech Connect (OSTI)

    Gerstl, S.A.W.; Simmer, C.; Powers, B.J.

    1986-05-01T23:59:59.000Z

    Illuminating any reflective rough or structured surface by a directional light source results in an angular reflectance distribution that shows a narrow peak in the direction of retro-reflection. This is called the Heiligenschein or hot-spot of vegetation canopies and is caused by mutual shading of leaves. The angular intensity distribution of the hot-spot, its brightness and slope, are therefore indicators of the plant's geometry. We propose the use of hot-spot characteristics as crop identifiers in satellite remote sensing because the canopy hot-spot carries information about plant stand architecture that is more distinctive for different plant species than, for instance, their spectral reflectance characteristics. A simple three-dimensional Monte Carlo/ray tracing model and an analytic two-dimensional model are developed to estimate the angular distribution of the hot-spot as a function of the size of the plant leaves. The results show that the brightness-distribution and slope of the hot-spot change distinctively for different leaf sizes indicating a much more peaked maximum for the smaller leaves.

  3. The Effects of Price Discrimination on Buyers Internal Reference Price and Post-purchase Emotions.

    E-Print Network [OSTI]

    Huang, Siang-hua

    2007-01-01T23:59:59.000Z

    ??This article examines whether price discrimination affects consumer price perceptions and emotions. Questionnaires involving various purchasing scenarios indicate that all kinds of price discrimination decrease (more)

  4. Price Discovery in Time and Space: The Course of Condominium Prices in Singapore

    E-Print Network [OSTI]

    Hwang, Min; Quigley, John M.

    2007-01-01T23:59:59.000Z

    Method for Real Estate Price Index Construction, Journal ofAutocorrelation in House Prices, Journal of Real Estate1997), Quotes, Order Flow, and Price Discovery, Journal of

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

    SciTech Connect (OSTI)

    Not Available

    1985-03-15T23:59:59.000Z

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

  6. Visualizations for Real-time Pricing Demonstration

    SciTech Connect (OSTI)

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

    2014-10-13T23:59:59.000Z

    In this paper, the visualization tools created for monitoring the operations of a real-time pricing demonstration system that runs at a distribution feeder level are presented. The information these tools provide gives insights into demand behavior from automated price responsive devices, distribution feeder characteristics, impact of weather on systems development, and other significant dynamics. Given the large number of devices that bid into a feeder-level real-time electricity market, new techniques are explored to summarize the present state of the system and contrast that with previous trends as well as future projections. To better understand the system behavior and correctly inform decision-making procedures, effective visualization of the data is imperative.

  7. 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...

  8. Producers post increase as prices plumb new depths

    SciTech Connect (OSTI)

    Young, I.

    1993-02-03T23:59:59.000Z

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

  9. Relationship between Hot Spot Residues and Ligand Binding Hot Spots in Protein-Protein Interfaces

    E-Print Network [OSTI]

    Vajda, Sandor

    , while identification of a hot spot by alanine scanning establishes the potential to generate substantial, termed "hot spots", that comprise the subset of residues that contribute the bulk of the binding free proposed as prime targets for drug binding.1,4 The established approach to the identification of such hot

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

    E-Print Network [OSTI]

    Schulz-Mahlendorf, Wilko Ziggy

    2013-01-01T23:59:59.000Z

    Gasoline PriceResponse to Chang- ing Gasoline Prices, unpublishedShort-Run Price Elasticity of Gasoline Demand. , The Energy

  11. Regional variations in US residential sector fuel prices: implications for development of building energy performance standards

    SciTech Connect (OSTI)

    Nieves, L.A.; Tawil, J.J.; Secrest, T.J.

    1981-03-01T23:59:59.000Z

    The Notice of Proposed Rulemaking for Energy Performance Standards for New Buildings presented life-cycle-cost based energy budgets for single-family detached residences. These energy budgets varied with regional climatic conditions but were all based on projections of national average prices for gas, oil and electricity. The Notice of Proposed Rulemaking indicated that further analysis of the appropriateness of various price measures for use in setting the Standards was under way. This part of that ongoing analysis addresses the availability of fuel price projections, the variation in fuel prices and escalation rates across the US and the effects of aggregating city price data to the state, Region, or national level. The study only provides a portion of the information required to identify the best price aggregation level for developing of the standards. The research addresses some of the economic efficiency considerations necessary for design of a standard that affects heterogeneous regions. The first section discusses the effects of price variation among and within regions on the efficiency of resource allocation when a standard is imposed. Some evidence of the extreme variability in fuel prices across the US is presented. In the second section, time series, cross-sectional fuel price data are statistically analyzed to determine the similarity in mean fuel prices and price escalation rates when the data are treated at increasing levels of aggregation. The findings of this analysis are reported in the third section, while the appendices contain price distributions details. The last section reports the availability of price projections and discusses some EIA projections compared with actual prices.

  12. 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

  13. ,"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...

  14. ,"New York Natural Gas Prices"

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

    Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","New York Natural Gas Prices",8,"Monthly","102014","1151989" ,"Release Date:","12312014"...

  15. Residential heating oil price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A B CAdministrationheating oil price

  16. Residential propane price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating5,propane price

  17. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price decreases The

  18. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price decreases

  19. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane price

  20. Residential propane price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane pricepropane price

  1. Residential propane prices available

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6,propane prices

  2. Residential propane prices decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6,propane prices5,

  3. Residential propane 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase The average

  4. Residential propane 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase The

  5. Residential propane 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase Thepropane

  6. Residential propane 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increase

  7. Residential propane 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropane

  8. Residential propane prices 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices increasepropanepropane

  9. Residential propane prices 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane prices

  10. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices surges

  11. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices surges5,

  12. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices

  13. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices9, 2014

  14. Residential propane prices surges

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter Apropane pricespropane prices9,

  15. Average Commercial Price

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: Oil andCitygate Price

  16. Average Residential Price

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: OilCitygate Price

  17. Average Residential Price

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecemberSteam Coal Import CostsLiquidsYearReserves (Billion5: OilCitygate Price

  18. Diesel prices decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDiesel

  19. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continueDieselDiesel

  20. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices

  1. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel prices

  2. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDiesel

  3. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldiesel pricesDieselDiesel

  4. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDiesel prices

  5. Diesel prices slightly decrease

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDieselDiesel prices

  6. 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 Prices Affect Automobile Manufacturers and Dealerships Abstract Many consumers are keenly aware, by contrast, we investigate how gasoline prices affect the automobile industry: manufacturers and dealerships

  7. Avoiding Carbon Bed Hot Spots in Thermal Process Off-Gas Systems

    SciTech Connect (OSTI)

    Nick Soelberg; Joe Enneking

    2011-05-01T23:59:59.000Z

    Mercury has had various uses in nuclear fuel reprocessing and other nuclear processes, and so is often present in radioactive and mixed (radioactive and hazardous) wastes. Test programs performed in recent years have shown that mercury in off-gas streams from processes that treat radioactive wastes can be controlled using fixed beds of activated sulfur-impregnated carbon, to levels low enough to comply with air emission regulations such as the Hazardous Waste Combustor (HWC) Maximum Achievable Control Technology (MACT) standards. Carbon bed hot spots or fires have occurred several times during these tests, and also during a remediation of tanks that contained mixed waste. Hot spots occur when localized areas in a carbon bed become heated to temperatures where oxidation occurs. This heating typically occurs due to heat of absoption of gas species onto the carbon, but it can also be caused through external means such as external heaters used to heat the carbon bed vessel. Hot spots, if not promptly mitigated, can grow into bed fires. Carbon bed hot spots and fires must be avoided in processes that treat radioactive and mixed waste. Hot spots are detected by (a) monitoring in-bed and bed outlet gas temperatures, and (b) more important, monitoring of bed outlet gas CO concentrations. Hot spots are mitigated by (a) designing for appropriate in-bed gas velocity, for avoiding gas flow maldistribution, and for sufficient but not excessive bed depth, (b) appropriate monitoring and control of gas and bed temperatures and compositions, and (c) prompt implementation of corrective actions if bed hot spots are detected. Corrective actions must be implemented quickly if bed hot spots are detected, using a graded approach and sequence starting with corrective actions that are simple, quick, cause the least impact to the process, and are easiest to recover from.

  8. 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

  9. Price's Theorem: A General Equation for Response

    E-Print Network [OSTI]

    Walsh, Bruce

    12 Price's Theorem: A General Equation for Response It is always difficult, in retrospect, to see situation. Ac- tually, there is, namely Price's Theorem (Price 1970, 1972a), also referred to as the Price Equation. Price's theorem provides a notationally elegant way to describe any selection re- sponse. We

  10. Participatory Pricing in Sport: An Examination of Name-Your-Own-Price and Pay-What-You-Want Pricing

    E-Print Network [OSTI]

    Reese, Jason 1985-

    2012-12-06T23:59:59.000Z

    The purpose of this study is to better understand the effects participatory pricing strategies have on consumer perceptions and behaviors in a sport event pricing scenario. Participatory pricing strategies are those that include the consumer...

  11. 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

    Robbery, An Analysis of the Gasoline Crisis, Bloomington:Dynamic Pricing in Retail gasoline Markets, RAND Journal ofR. Gilbert. Do Gasoline Markets Respond Asymmetrically to

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

    E-Print Network [OSTI]

    Appendix A: Fuel Price Forecast Introduction ................................................................................................................... 17 INTRODUCTION Since the millennium, the trend for fuel prices has been one of uncertainty prices, which have traditionally been relatively stable, increased by about 50 percent in 2008. Fuel

  13. Different scaling behaviors of commodity spot and future prices Kaushik Matia,1

    E-Print Network [OSTI]

    Stanley, H. Eugene

    a some- what abstract character because they i have an almost ``elastic'' response to changes in demand of Physics, Boston University, Boston, Massachusetts 02215 2 BP Upstream, Chertsey Road, Sunbury

  14. ,"Henry Hub Natural Gas Spot Price (Dollars per Million Btu)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative2. Occupancy ofAviation Gasoline Sales to14

  15. Efficient Metering Schemes with Pricing

    E-Print Network [OSTI]

    Stinson, Douglas

    Efficient Metering Schemes with Pricing Barbara Masucci Dipartimento di Informatica ed Applicazioni and Pinkas [7] introduced metering schemes. They proposed metering schemes in which any server is able and proposed metering schemes with pricing. In their schemes any server is able to construct a proof which

  16. Discriminative Keyword Spotting David Grangier1

    E-Print Network [OSTI]

    Tomkins, Andrew

    Laboratories America, Princeton, NJ, USA 2 IDIAP Research Institute, Martigny, Switzerland 3 Google Inc., Mountain View, CA, USA This chapter introduces a discriminative method for detecting and spotting keywords and transition models, or the Expectation-Maximization (EM) training procedure, which is prone to convergence

  17. Prices include compostable serviceware and linen tablecloths

    E-Print Network [OSTI]

    California at Davis, University of

    APPETIZERS Prices include compostable serviceware and linen tablecloths for the food tables.ucdavis.edu. BUTTERNUT SQUASH & BLACK BEAN ENCHILADAS #12;BUFFETS Prices include compostable serviceware and linen

  18. Issues in Parallel Branch and Price

    E-Print Network [OSTI]

    Branch and price is the technique of combining column generation methods with branch ... price has been shown to be very e ective at solving large, specially...

  19. Electricity price forecasting in a grid environment.

    E-Print Network [OSTI]

    Li, Guang, 1974-

    2007-01-01T23:59:59.000Z

    ??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate (more)

  20. 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

  1. Microdata analysis of price setting behaviour and macrodata analysis of heterogeneous DSGE models .

    E-Print Network [OSTI]

    Zhou, Peng

    2012-01-01T23:59:59.000Z

    ??This thesis investigates nominal frictions in price setting behaviour from both microe-conometric and macroeconometric perspectives. Chapter I and II use the unpublished retailer-level and producer-level (more)

  2. 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.

  3. 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.

  4. Friction Stir Spot Welding of Advanced High Strength Steels ...

    Energy Savers [EERE]

    Stir Spot Welding of Advanced High Strength Steels (AHSS) Friction Stir Spot Welding of Advanced High Strength Steels (AHSS) Presentation from the U.S. DOE Office of Vehicle...

  5. EECBG Success Story: Bright Green Spot: Fort Worth Library |...

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

    Bright Green Spot: Fort Worth Library EECBG Success Story: Bright Green Spot: Fort Worth Library September 30, 2010 - 9:53am Addthis Fort Worth's Central Library is seeing...

  6. Bright Green Spot: Fort Worth Library | Department of Energy

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

    Bright Green Spot: Fort Worth Library Bright Green Spot: Fort Worth Library September 30, 2010 - 4:07pm Addthis Lindsay Gsell Fort Worth's Central Library is seeing tremendous...

  7. 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...

  8. 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

  9. Residential Real-time Price Response Simulation

    SciTech Connect (OSTI)

    Widergren, Steven E.; Subbarao, Krishnappa; Chassin, David P.; Fuller, Jason C.; Pratt, Robert G.

    2011-10-10T23:59:59.000Z

    The electric industry is gaining experience with innovative price responsive demand pilots and limited roll-outs to customers. One of these pilots is investigating real-time pricing signals to engage end-use systems and local distributed generation and storage in a distributed optimization process. Attractive aspects about the approach include strong scalability characteristics, simplified interfaces between automation devices, and the adaptability to integrate a wide variety of devices and systems. Experience in this nascent field is revealing a rich array of for engineering decisions and the application of complexity theory. To test the decisions, computer simulations are used to reveal insights about design, demand elasticity, and the limits of response (including consumer fatigue). Agent-based approaches lend themselves well in the simulation to modeling the participation and interaction of each piece of equipment on a distribution feeder. This paper discusses rate design and simulation experiences at the distribution feeder level where consumers and their HVAC systems and water heaters on a feeder receive real-time pricing signals.

  10. Introduction Risk associated with an adverse price

    E-Print Network [OSTI]

    O'Laughlin, Jay

    Introduction Risk associated with an adverse price change (price risk) is a normal part commodities are sold suggests price risk is an unavoidable part of being involved in the industry. Producers that have significant price variability. Recent domestic farm policy changes and trade barrier reductions

  11. Reservation Price Estimation by Adaptive Conjoint Analysis

    E-Print Network [OSTI]

    Schmidt-Thieme, Lars

    Reservation Price Estimation by Adaptive Conjoint Analysis Christoph Breidert1 , Michael Hahsler1 applied the eco- nomic definition of reservation price in combination with a conjoint study on product pricing. In this paper we present a novel approach to estimate the economic reser- vation price using

  12. Explaining the Price of Voluntary Carbon Offsets

    E-Print Network [OSTI]

    Conte, Marc N.; Kotchen, Matthew

    2009-01-01T23:59:59.000Z

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

  13. Natural gas prices: Rhyme or reason

    SciTech Connect (OSTI)

    Tucker, L.L.

    1995-12-31T23:59:59.000Z

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

  14. 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 price changes? We clarify the effects of speculators on commodity prices. We focus on crude oil, but our approach can be applied to other commodities. We explain the meaning of "oil price speculation," how it can

  15. Automated Spot Weld Inspection using Infrared Thermography

    SciTech Connect (OSTI)

    Chen, Jian [ORNL] [ORNL; Zhang, Wei [ORNL] [ORNL; Yu, Zhenzhen [ORNL] [ORNL; Feng, Zhili [ORNL] [ORNL

    2012-01-01T23:59:59.000Z

    An automated non-contact and non-destructive resistance spot weld inspection system based on infrared (IR) thermography was developed for post-weld applications. During inspection, a weld coupon was heated up by an auxiliary induction heating device from one side of the weld, while the resulting thermal waves on the other side were observed by an IR camera. The IR images were analyzed to extract a thermal signature based on normalized heating time, which was then quantitatively correlated to the spot weld nugget size. The use of normalized instead of absolute IR intensity was found to be useful in minimizing the sensitivity to the unknown surface conditions and environment interference. Application of the IR-based inspection system to different advanced high strength steels, thickness gauges and coatings were discussed.

  16. 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)

  17. Volatility and commodity price dynamics

    E-Print Network [OSTI]

    Pindyck, Robert S.

    2001-01-01T23:59:59.000Z

    Commodity prices tend to be volatile, and volatility itself varies over time. changes in volatility can affect market variables by directly affecting the marginal value of storage, and by affecting a component of the total ...

  18. 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...

  19. 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 ...

  20. 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 ...

  1. Essays on pricing under uncertainty

    E-Print Network [OSTI]

    Escobari Urday, Diego Alfonso

    2008-10-10T23:59:59.000Z

    sales from sales under average conditions, it presents is the first study to show empirical evidence of peak load pricing in airlines. (5) It controls for potential endogeneity of sales using dynamic panels. The first essay tests the empirical importance...

  2. The Price of Feed Utilities.

    E-Print Network [OSTI]

    Fraps, G. S. (George Stronach)

    1924-01-01T23:59:59.000Z

    TEXAS AGRICULTURAL EXPERIMENT STATION AGRICULTURAL AND MECHANICAL COLLEGE OF TEXAS W. B. BIZZELL, President BULLETIN NO. 323 September, 1924 DIVISION OF CHEMISTRY THE PRICE OF FEED UTILITIES B. YOUNGBLOOD, DIRECTOR COLLEGE STATION, BRAZOS.... SYNOPSIS The object of this Bulletin is to study the relation between the selling --:--s of commercial feeds and their content of feed utilities. The prices ounds of digestible protein, and therms of productive energy, were lated from certain available...

  3. The Effects of Price Transparency Regulation on Prices in the Healthcare Industry

    E-Print Network [OSTI]

    Mateo, Jill M.

    The Effects of Price Transparency Regulation on Prices in the Healthcare Industry Hans B Policymakers have enacted price transparency regulations in over thirty states during the past decade-state variation to address endogeneity concerns, we find that price transparency regulations reduce the price

  4. 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

  5. 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

  6. ,"Ohio Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPriceGas, Wet After LeasePriceNetWellhead Price

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

    SciTech Connect (OSTI)

    Camm, F.

    1983-03-01T23:59:59.000Z

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

  8. Need-based Communication for Smart Grid: When to Inquire Power Price?

    E-Print Network [OSTI]

    Li, Husheng

    2010-01-01T23:59:59.000Z

    In smart grid, a home appliance can adjust its power consumption level according to the realtime power price obtained from communication channels. Most studies on smart grid do not consider the cost of communications which cannot be ignored in many situations. Therefore, the total cost in smart grid should be jointly optimized with the communication cost. In this paper, a probabilistic mechanism of locational margin price (LMP) is applied and a model for the stochastic evolution of the underlying load which determines the power price is proposed. Based on this framework of power price, the problem of determining when to inquire the power price is formulated as a Markov decision process and the corresponding elements, namely the action space, system state and reward function, are defined. Dynamic programming is then applied to obtain the optimal strategy. A simpler myopic approach is proposed by comparing the cost of communications and the penalty incurred by using the old value of power price. Numerical resul...

  9. Index Revision, House Price Risk, and the Market for House Price Derivatives

    E-Print Network [OSTI]

    Deng, Yongheng; Quigley, John M.

    2008-01-01T23:59:59.000Z

    bias in repeat-sales home price indices. Freddie Mac workingpaper #0503. Index Revision, House Price Risk, and theMarket for House Price Derivatives Calhoun, C. A. (1996).

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. Ethanol Production and Gasoline Prices: A Spurious Correlation

    E-Print Network [OSTI]

    Rothman, Daniel

    Ethanol Production and Gasoline Prices: A Spurious Correlation Christopher R. Knittel and Aaron Smith July 12, 2012 Abstract Ethanol made from corn comprises 10% of US gasoline, up from 3% in 2003-level blend mandates, and supported by direct subsidies such as the Volumetric Ethanol Excise Tax Credit. Some

  16. The fractal nature of vacuum arc cathode spots

    SciTech Connect (OSTI)

    Anders, Andre

    2005-05-27T23:59:59.000Z

    Cathode spot phenomena show many features of fractals, for example self-similar patterns in the emitted light and arc erosion traces. Although there have been hints on the fractal nature of cathode spots in the literature, the fractal approach to spot interpretation is underutilized. In this work, a brief review of spot properties is given, touching the differences between spot type 1 (on cathodes surfaces with dielectric layers) and spot type 2 (on metallic, clean surfaces) as well as the known spot fragment or cell structure. The basic properties of self-similarity, power laws, random colored noise, and fractals are introduced. Several points of evidence for the fractal nature of spots are provided. Specifically power laws are identified as signature of fractal properties, such as spectral power of noisy arc parameters (ion current, arc voltage, etc) obtained by fast Fourier transform. It is shown that fractal properties can be observed down to the cutoff by measurement resolution or occurrence of elementary steps in physical processes. Random walk models of cathode spot motion are well established: they go asymptotically to Brownian motion for infinitesimal step width. The power spectrum of the arc voltage noise falls as 1/f {sup 2}, where f is frequency, supporting a fractal spot model associated with Brownian motion.

  17. Crude oil prices and petroleum inventories : remedies for a broken oil price forecasting model.

    E-Print Network [OSTI]

    Grimstad, Dan

    2007-01-01T23:59:59.000Z

    ??The empirical relationship between crude oil prices and petroleum inventories has been exploited in a number of short-term oil price forecasting models. Some of the (more)

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2008-01-01T23:59:59.000Z

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

  19. 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

  20. 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

  1. 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

  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. Berkeley Lab's SPOT Suite Transforms Beamline Science

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to someone6 M. Babzien, I. Ben-Zvi,Benefits PlanabPerformanceSPOT Suite

  5. The price fluctuations of the stock market display fascinating properties. The volatility is around one order of magnitude too large than what is predicted

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Abstract The price fluctuations of the stock market display fascinating properties. The volatility decisions. We also study the price formation and the microstructure of financial markets, at the level of the order book which organizes transactions. We explain why the price is diffusive despite the fact

  6. Feb 4, 2013 8:30 AM Port and Port Groups used to determine standard prices for

    E-Print Network [OSTI]

    Feb 4, 2013 8:30 AM Port and Port Groups used to determine standard prices for observer fees Ports and port groups are used by National Marine Fisheries Service (NMFS) Alaska Region to develop at the port-level if possible. However, if a port-level price does not meet the confidentiality requirements

  7. Relation of Farm Prices to Quality of Cotton.

    E-Print Network [OSTI]

    Crawford, G. L. (George Lemuel); Gabbard, L. P. (Letcher P.)

    1928-01-01T23:59:59.000Z

    to the average quality of cotton produced by each community. As an example, the average monthly price paid per pound for strict middling during October at Robstown, Hills- boro, Henderson, and Lubbock was 13.25 cents, 13 cents, 11.33 cents, and 11.09 cents..." in length; and Henderson was 97 )er cent white with 94 per cent 13/16" to 15/16" in length. This fact sug- rests the possibility of a community's materially raising its price level by mproving the quality of its cotton, particularly the staple. It is too...

  8. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01T23:59:59.000Z

    effect of falling home prices on small business borrowing,2 Understanding the Solar Home Price Premium: Electricitysocial influences on price, Journal of Political Economy,

  9. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDiesel prices

  10. Crude oil prices: Are our oil markets too tight?

    SciTech Connect (OSTI)

    Simmons, M.R. [Simmons and Co. International, Houston, TX (United States)

    1997-02-01T23:59:59.000Z

    The answer to the question posed in the title is that tightness in the market will surely prevail through 1997. And as discussed herein, with worldwide demand expected to continue to grow, there will be a strong call on extra oil supply. Meeting those demands, however, will not be straightforward--as many observers wrongly believe--considering the industry`s practice of maintaining crude stocks at ``Just in time`` inventory levels. Further, impact will be felt from the growing rig shortage, particularly for deepwater units, and down-stream capacity limits. While these factors indicate 1997 should be another good year for the service industry, it is difficult to get any kind of consensus view from the oil price market. With most observers` information dominated by the rarely optimistic futures price of crude, as reflected by the NYMEX, the important fact is that oil prices have remained stable for three years and increased steadily through 1996.

  11. 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.

  12. Energy Prices and the Expansion of World Trade

    E-Print Network [OSTI]

    Benjamin Bridgman

    2008-01-01T23:59:59.000Z

    The oil shocks of the 1970s coincided with a number of economic disturbances. However, it has been difficult to develop models where oil shocks have a quantitatively important impact on the economy. In this paper, I show that the disturbances in transportation caused by the oil shocks can significantly affect the economy. I argue that changes in energy prices were responsible for a worldwide slowdown in the growth of trade and may help explain the apparent change in the price-trade elasticity. While tariffs have fallen steadily since 1970, trade growth slowed in the mid-1970s and has grown rapidly since the mid-1980s. In a standard trade model, this pattern implies that the price-import elasticity increased sharply in the mid-1980s. In this paper, I argue that the oil crises of the 1970s led to higher transportation costs. In 1986 energy prices fell to their pre-crisis level, reducing transportation costs and by extension trade barriers. I present a trade model with an energy using transportation sector. In model simulations, I show that total trade costs (transportation cost plus tariffs) are constant from 1974 to 1982. Once transportation costs are accounted for, the price-import elasticity no longer needs to radically change. I also show that trade expansion since 1960 is 50 percent higher in a standard trade model that includes a transportation sector compared to one that does not.

  13. Making the Traffic Operations Case for Congestion Pricing: Operational Impacts of Congestion Pricing

    SciTech Connect (OSTI)

    Chin, Shih-Miao [ORNL; Hu, Patricia S [ORNL; Davidson, Diane [ORNL

    2011-02-01T23:59:59.000Z

    Congestion begins when an excess of vehicles on a segment of roadway at a given time, resulting in speeds that are significantly slower than normal or 'free flow' speeds. Congestion often means stop-and-go traffic. The transition occurs when vehicle density (the number of vehicles per mile in a lane) exceeds a critical level. Once traffic enters a state of congestion, recovery or time to return to a free-flow state is lengthy; and during the recovery process, delay continues to accumulate. The breakdown in speed and flow greatly impedes the efficient operation of the freeway system, resulting in economic, mobility, environmental and safety problems. Freeways are designed to function as access-controlled highways characterized by uninterrupted traffic flow so references to freeway performance relate primarily to the quality of traffic flow or traffic conditions as experienced by users of the freeway. The maximum flow or capacity of a freeway segment is reached while traffic is moving freely. As a result, freeways are most productive when they carry capacity flows at 60 mph, whereas lower speeds impose freeway delay, resulting in bottlenecks. Bottlenecks may be caused by physical disruptions, such as a reduced number of lanes, a change in grade, or an on-ramp with a short merge lane. This type of bottleneck occurs on a predictable or 'recurrent' basis at the same time of day and same day of week. Recurrent congestion totals 45% of congestion and is primarily from bottlenecks (40%) as well as inadequate signal timing (5%). Nonrecurring bottlenecks result from crashes, work zone disruptions, adverse weather conditions, and special events that create surges in demand and that account for over 55% of experienced congestion. Figure 1.1 shows that nonrecurring congestion is composed of traffic incidents (25%), severe weather (15%), work zones, (10%), and special events (5%). Between 1995 and 2005, the average percentage change in increased peak traveler delay, based on hours spent in traffic in a year, grew by 22% as the national average of hours spent in delay grew from 36 hours to 44 hours. Peak delay per traveler grew one-third in medium-size urban areas over the 10 year period. The traffic engineering community has developed an arsenal of integrated tools to mitigate the impacts of congestion on freeway throughput and performance, including pricing of capacity to manage demand for travel. Congestion pricing is a strategy which dynamically matches demand with available capacity. A congestion price is a user fee equal to the added cost imposed on other travelers as a result of the last traveler's entry into the highway network. The concept is based on the idea that motorists should pay for the additional congestion they create when entering a congested road. The concept calls for fees to vary according to the level of congestion with the price mechanism applied to make travelers more fully aware of the congestion externality they impose on other travelers and the system itself. The operational rationales for the institution of pricing strategies are to improve the efficiency of operations in a corridor and/or to better manage congestion. To this end, the objectives of this project were to: (1) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the study of actual projects, and (2) Better understand and quantify the impacts of congestion pricing strategies on traffic operations through the use of modeling and other analytical methods. Specifically, the project was to identify credible analytical procedures that FHWA can use to quantify the impacts of various congestion pricing strategies on traffic flow (throughput) and congestion.

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

    E-Print Network [OSTI]

    Fritsch, Roger Erwin

    1997-01-01T23:59:59.000Z

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

  15. Friction Stir Spot Welding of Advanced High Strength Steels II...

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

    II Friction Stir Spot Welding of Advanced High Strength Steels II 2011 DOE Hydrogen and Fuel Cells Program, and Vehicle Technologies Program Annual Merit Review and Peer Evaluation...

  16. 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

  17. 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...

  18. FOUNDATIONS OF PRICING AND INVESTMENT IN

    E-Print Network [OSTI]

    Catholic University of Chile (Universidad Católica de Chile)

    Transmission pricing has become a central issue in the discussions regarding the redesign of deregulated issues in electricity transmission pricing and their link with the energy market. Transmission short run

  19. 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 ...

  20. Essays on macroeconomic risks and stock prices

    E-Print Network [OSTI]

    Duarte, Fernando Manuel

    2011-01-01T23:59:59.000Z

    In this thesis, I study the relationship between macroeconomic risks and asset prices. In the first chapter, I establish that inflation risk is priced in the cross-section of stock returns: stocks that have low returns ...

  1. 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

  2. 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 ...

  3. 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.

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

    E-Print Network [OSTI]

    Bolinger, Mark

    2012-01-01T23:59:59.000Z

    In comparison, the rise in coal prices has been slower andindustrial price. Finally, coal prices come from Table 4.1Fiberglass Energy Prices Diesel Coal Natural Gas Currency

  5. 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

  6. 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

  7. 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

  8. 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,

  9. 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...

  10. 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

  11. 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

  12. 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

  13. Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds

    E-Print Network [OSTI]

    Topaloglu, Huseyin

    Approximation Methods for Pricing Problems under the Nested Logit Model with Price Bounds W@orie.cornell.edu November 13, 2012 Abstract We consider two variants of a pricing problem under the nested logit model. In the first variant, the set of products offered to customers is fixed and we want to determine the prices

  14. 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING ................................................... 1

    E-Print Network [OSTI]

    McCarl, Bruce A.

    13 CHAPTER XIII: PRICE ENDOGENOUS MODELING 13 CHAPTER XIII: PRICE ENDOGENOUS MODELING.................................................................................................................... 16 #12;13.1 Introduction A common economic application of nonlinear programming involves price endogenous models. In the standard LP model, input and output prices or quantities are assumed fixed

  15. Design of Price Mechanisms for Network Resource Allocation via Price of Anarchy

    E-Print Network [OSTI]

    Chen, Ying-Ju

    Design of Price Mechanisms for Network Resource Allocation via Price of Anarchy Ying-Ju Chen Jiawei Zhang March 20, 2010 Abstract We study the design of price mechanisms for communication network problems on each link depends on the total traffic flows over it. The price mechanisms are characterized by a set

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

  17. 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

  18. Killing Two Birds with One Stone: Can Real-Time Pricing SupportRetail Competition and Demand Response?

    SciTech Connect (OSTI)

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

    2006-04-25T23:59:59.000Z

    As retail choice states reach the end of their transitional, rate-cap periods, state regulators must decide what type of default supply service to provide to customers that have not switched to a competitive retail supplier. In a growing number of states, regulators have adopted real-time pricing (RTP) as the default service for large commercial and industrial (C&I) customers. Although this trend is driven chiefly by policy objectives related to retail competition, default service RTP may have the added benefit of stimulating demand response. To evaluate the potential role of RTP as a means to both ends--retail market development and demand response--we conducted a comprehensive review of experience with default RTP in the U.S. and examined the emergence of RTP as a product offering by competitive retail suppliers. Across the ten utilities with default RTP in place in 2005, between 5% and 35% of the applicable load remained on the rate. Based on interviews with competitive retailers, we find evidence to suggest that a comparable amount of load in these states has switched to hourly pricing arrangements with competitive retailers. Many customers on default or competitive hourly pricing are paying prices indexed to the real-time spot market, and thus have no advance knowledge of prices. Because the price responsiveness of customers under these conditions has yet to be formally analyzed, and relatively few efforts have been undertaken to help these customers become price responsive, the actual demand response impacts from hourly pricing in retail choice states remains largely an open question. However, we find that policymakers and other stakeholders in retail choice states have various strategies at their disposal to capture the potential demand response benefits from hourly pricing, while simultaneously supporting retail competition.

  19. Microsoft Word - summer.doc

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

    850 Bcf to storage inventories during August, September, and October, although the recent rise in spot prices may discourage injections at such a high level this year. Spot prices:...

  20. Oil Price and the Dollar Virginie Coudert

    E-Print Network [OSTI]

    Boyer, Edmond

    Oil Price and the Dollar Virginie Coudert , Valerie Mignon , Alexis Penot 6th April 2005 Abstract The aim of this paper is to test whether a stable long-term relationship exists between oil prices and causality study between the two variables. Our results indicate that causality runs from oil prices

  1. COMMODITY PRICE VOLATILITY ACROSS EXCHANGE RATE REGIMES

    E-Print Network [OSTI]

    1 COMMODITY PRICE VOLATILITY ACROSS EXCHANGE RATE REGIMES John T. Cuddington* and Hong Liang** March 10, 2003 ABSTRACT This paper documents a new "stylized fact" regarding the relative price 1880 to 1996, this key relative price among two categories of tradable goods is shown to exhibit

  2. Price war with migrating customers Patrick Maille

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

    Price war with migrating customers Patrick Maill´e TELECOM Bretagne 2, rue de la Ch^ataigneraie CS customers churn between providers due to better prices, better reputation or better services. We propose in this paper to study the price war between two providers in the case where users' decisions are modeled

  3. Ubiquitous Computing, Customer Tracking, and Price Discrimination

    E-Print Network [OSTI]

    Sadeh, Norman M.

    Ubiquitous Computing, Customer Tracking, and Price Discrimination Alessandro Acquisti H. John Heinz's analysis is the possibility of combining context, historical, location and other personal data to dynamically alter the price of a product for each consumer - a form of price discrimination also known

  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. Average Commercial Price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (Million CubicDecadeBaseper1 A Look

  6. Average Residential Price

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS98,,,1999,0,0,1e+15,1469,6,01179,"WAT","HY"Tables andA 6 J (Million CubicDecadeBaseper1 A Look7.56

  7. 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.

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

    E-Print Network [OSTI]

    Paris-Sud XI, Université de

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

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

    E-Print Network [OSTI]

    Seltzer, Steven A.

    2011-01-01T23:59:59.000Z

    Thomadakis, Stavros. Price Regulation Under Uncertainty in698. Bs, Dieter. Pricing and Price Regulation. Elsevier.Optimal Structure of Public Prices. The American Economic

  11. Cinematography of Resistance Spot Welding of Galvanized Steel Sheet

    E-Print Network [OSTI]

    Eagar, Thomas W.

    Cinematography of Resistance Spot Welding of Galvanized Steel Sheet Preweld and postweld current modifications on the resistance spot welding of galvanized steel sheet ·are analyzed using high phenomena through· out the weld process are discussed. In addition. the duration of current modifi· cation

  12. Hot Spot Conditions during Cavitation in Water Yuri T. Didenko,

    E-Print Network [OSTI]

    Suslick, Kenneth S.

    Hot Spot Conditions during Cavitation in Water Yuri T. Didenko, William B. McNamara III-13 the effective hot spot temperature during aqueous cavitation remains unresolved. Given the importance of aqueous cavitation (sonography and bioeffects of ultrasound, sonochemical remediation of aqueous pollutants

  13. 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.

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

    Reports and Publications (EIA)

    2008-01-01T23:59:59.000Z

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

  16. Problem definition Branch-and-Price approach Pricing: knapsack problem with conflicts Results A Branch-and-Price Algorithm for the Bin

    E-Print Network [OSTI]

    Vanderbeck, François

    Problem definition Branch-and-Price approach Pricing: knapsack problem with conflicts Results A Branch-and-Price Algorithm for the Bin Packing Problem with Conflicts Ruslan Sadykov1 François Vanderbeck Sadykov, François Vanderbeck Branch-and-price for bin packing with conflicts #12;Problem definition Branch-and-Price

  17. Innovative Utility Pricing for Industry

    E-Print Network [OSTI]

    Ross, J. A.

    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... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

  18. ,"North Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice Sold to Electric PowerNetGas,PricePrice Sold

  19. Hottest spot temperatures in ventilated dry type transformers

    SciTech Connect (OSTI)

    Pierce, L.W. (General Electric Co., Rome, GA (United States))

    1994-01-01T23:59:59.000Z

    The hottest spot temperature allowance to be used for the different insulation system temperature classes is a major unknown facing IEEE Working Groups developing standards and loading guides for ventilated dry type transformers. In 1944, the hottest spot temperature allowance for ventilated dry type transformers was established as 30 C for 80 C average winding temperature rise. Since 1944, insulation temperature classes have increased to 220 C but IEEE standards continue to use a constant 30 C hottest spot temperature allowance. IEC standards use a variable hottest spot temperature allowance from 5 to 30 C. Six full size test windings were manufactured with imbedded thermocouples and 133 test runs performed to obtain temperature rise data. The test data indicated that the hottest spot temperature allowance used in IEEE standards for ventilated dry type transformers above 500 kVA is too low. This is due to the large thermal gradient from the bottom to the top of the windings caused by natural convection air flow through the cooling ducts. A constant ratio of hottest spot winding temperature rise to average winding temperature rise should be used in product standards for all insulation temperature classes. A ratio of 1.5 is suggested for ventilated dry type transformers above 500 kVA. This would increase the hottest spot temperature allowance from 30 C to 60 C and decrease the permissible average winding temperature rise from 150 C to 120 C for the 220 C insulation temperature class.

  20. ,"North Carolina Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice Sold to Electric PowerNetGas,Price (Dollars

  1. ,"North Dakota Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice Sold toAnnual",2013ConsumptionPrice

  2. ,"Ohio Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPriceGas, Wet After LeasePrice (Dollars per

  3. ,"Oklahoma Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPriceGas, Wet AfterShale ProvedPrice (Dollars per

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

    E-Print Network [OSTI]

    Borenstein, Severin

    2008-01-01T23:59:59.000Z

    Emissions Surcharge Revenues Oil Price Price elas= -0.1 elasEmissions Surcharge Revenues Oil Price Price elas= -0.1 elasQuantity Daily GhG Emissions Oil Price Price elas= -0.1 elas

  5. System Level Payoffs Current Accomplishments

    E-Print Network [OSTI]

    Mukasyan, Alexander

    Scientific Challenges War fighter Benefit · Develop approach for spot-type welding of dissimilar refractory of refractory dissimilar materials. For example: ·Carbon composite - Carbon; ·Silicon carbide ­ Metal alloys#12;System Level Payoffs Current Accomplishments Joining of Refractory and Dissimilar Materials

  6. Wall and laser spot motion in cylindrical hohlraums

    SciTech Connect (OSTI)

    Huser, G.; Courtois, C.; Monteil, M.-C. [CEA, DAM, DIF, F-91297 Arpajon (France)

    2009-03-15T23:59:59.000Z

    Wall and laser spot motion measurements in empty, propane-filled and plastic (CH)-lined gold coated cylindrical hohlraums were performed on the Omega laser facility [T. R. Boehly et al., Opt. Commun. 133, 495 (1997)]. Wall motion was measured using axial two-dimensional (2D) x-ray imaging and laser spot motion was perpendicularly observed through a thinned wall using streaked hard x-ray imaging. Experimental results and 2D hydrodynamic simulations show that while empty targets exhibit on-axis plasma collision, CH-lined and propane-filled targets inhibit wall expansion, corroborated with perpendicular streaked imaging showing a slower motion of laser spots.

  7. 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.

  8. 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.

  9. 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.

  10. ,"Arkansas Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved ReservesPricePrice (Dollars per Thousand Cubic

  11. ,"Arkansas Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"Coalbed Methane Proved ReservesPricePrice (Dollars perNet

  12. ,"North Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale Proved Reserves (Billion CubicPrice SoldPrice

  13. Role of speculation in short-term US oil crude prices and gasoline price variability of the 2000s and the role of monetary policy price stability interventions.

    E-Print Network [OSTI]

    Norris, Leah C.

    2010-01-01T23:59:59.000Z

    ?? The objectives of this study were to analyze the short-run impact of futures contract prices on crude oil prices, the impact of crude oil (more)

  14. 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.

  15. 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.

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

    Energy Savers [EERE]

    to Solar PV in New York City? Solar Real-Time Pricing: Is Real-Time Electricity Pricing Beneficial to Solar PV in New York City? The goal of this study is to evaluate the...

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

    E-Print Network [OSTI]

    Ellison, Sara Fisher

    2011-07-12T23:59:59.000Z

    We study competition among a score of firms participating in an online market for a commodity-type memory module. Firms were able to adjust prices continuously; prices determined how the firms were ranked and listed (lowest ...

  18. 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

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

    E-Print Network [OSTI]

    ; Competitive electricity markets; Poolco Alternatively, the Market Coordinator could ask the private generatingA uniform price auction with locational price adjustments for competitive electricity markets b School of Electrical Engineering, Phillips Hall, Cornell University, Ithaca, NY 14853, USA c

  1. Price dispersion in the airline industry: the effect of industry elasticity and cross-price elasticity

    E-Print Network [OSTI]

    Kim, Jong Ho

    2009-06-02T23:59:59.000Z

    This dissertation analyzes the sources of price dispersion due to the price discrimination in the U.S. airline industry. Using the multi-stage budgeting approach with the almost ideal demand system (AIDS) specification, we estimate demand for air...

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

    E-Print Network [OSTI]

    de Janvry, Alain; Sadoulet, Eliisabeth

    2009-01-01T23:59:59.000Z

    effects of cereal and oil price changes - Farmers (Rd 59)From wheat price From oil prices Overall gain Average losseffects of cereal and oil price changes Farmers, by

  3. 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...

  4. 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.

  5. Summary Statistics Table 1. Crude Oil Prices

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

    Cost Report." Figure Energy Information Administration Petroleum Marketing Annual 1996 3 Table 2. U.S. Refiner Prices of Petroleum Products to End Users (Cents per Gallon...

  6. Pricing Conspicuous Consumption Products in Recession Periods ...

    E-Print Network [OSTI]

    2012-09-26T23:59:59.000Z

    Conspicuous consumptions products as luxury cars, designer brands, and fancy hotel rooms .... mand D is driven by the brand image and the pricing strategy p.

  7. 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.

  8. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The

  9. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The6,

  10. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases The6,05,

  11. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreases

  12. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price decreasesheating

  13. Residential heating oil price decreases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil price

  14. Residential heating oil price increases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil price

  15. Residential heating oil price increases

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oil priceheating oil price9,

  16. Residential heating oil prices decline

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil price

  17. Residential propane price decreases 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheatingpropane6, 2014propane price

  18. South Carolina 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,7416.18 5.69 5.07 5.23 4.41 4.02

  19. Gasoline Price Pass-through

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs U.S.WyomingExpansion 5Wellhead PriceB.1.Data Collection

  20. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps Develop Di-JiaDianneDiesel prices

  1. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices continue to

  2. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices continue

  3. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices continueDiesel

  4. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel prices

  5. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDiesel

  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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDiesel pricesDieselDiesel

  7. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDiesel prices continue

  8. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDiesel prices

  9. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDiesel pricesDiesel

  10. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC Helps DevelopDieselDieselDiesel prices

  11. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continue to increase

  12. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continue to

  13. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDiesel prices continue

  14. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDiesel pricesDiesel

  15. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSC HelpsDieseldieselDieselDiesel prices see

  16. 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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsruc DocumentationP-Series to UserProduct: CrudeOfficeNERSCDiesel prices top $4 per gallon The

  17. Gasoline prices decrease (long version)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for(long24,5, 2014 Gasoline prices

  18. Gasoline prices decrease (short version)

    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:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"Click worksheet9,1,50022,3,,,,6,1,,781 2,328 2,683DieselValues shown for(long24,5, 2014Gasoline prices

  19. 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...

  20. 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...

  1. 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...

  2. 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...

  3. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption

  4. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.3 49.3

  5. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.3

  6. Prices

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

    AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in NonproducingAdditions to Capacity on theThousand7. Consumption53.6 53.368.7

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

    SciTech Connect (OSTI)

    Abosedra, S.S.

    1984-01-01T23:59:59.000Z

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

  8. 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...

  9. On the burn topology of hot-spot-initiated reactions

    SciTech Connect (OSTI)

    Hill, Larry G [Los Alamos National Laboratory; Zimmermann, Bjorn [WOLFRAM RESEARCH INC.; Nichols, Albert L [LLNL

    2009-01-01T23:59:59.000Z

    We determine the reaction progress function for an ideal hot spot model problem. The considered problem has an exact analytic solution that can derived from a reduction of Nichols statistical hot spot model. We perform numerical calculations to verify the analytic solution and to illustrate the error realized in real, finite systems. We show how the baseline problem, which does not distinguish between the reactant and product densities, can be scaled to handle general cases for which the two densities differ.

  10. Pricing trends in the US market for wholesale power

    SciTech Connect (OSTI)

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

    1996-12-31T23:59:59.000Z

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

  11. 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

  12. 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

  13. Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices

    E-Print Network [OSTI]

    Tunçel, Levent

    Maximum Utility Product Pricing Models and Algorithms Based on Reservation Prices R. Shioda L. Tun for pricing a product line with several customer segments under the assumption that customers' product choices utility model and formulate it as a mixed-integer programming problem, design heuristics and valid cuts

  14. 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

  15. Blind Spots for neutralino Dark Matter in the MSSM with an intermediate m_A

    E-Print Network [OSTI]

    Peisi Huang; Carlos E. M. Wagner

    2014-07-01T23:59:59.000Z

    We study the spin-independent neutralino Dark Matter scattering off heavy nuclei in the MSSM. We identify analytically the blind spots in direct detection for intermediate values of $m_A$. In the region where $\\mu$ and $M_{1,2}$ have opposite signs, there is not only a reduction of the lightest CP-even Higgs coupling to neutralinos, but also a destructive interference between the neutralino scattering through the exchange of the lightest CP-even Higgs and that through the exchange of the heaviest CP-even Higgs. At critical values of $m_A$, the tree-level contribution from the light Higgs exchange cancels the contribution from the heavy Higgs, so the scattering cross section vanishes. We denote these configurations as blind spots, since they provide a generalization of the ones previously discussed in the literature, which occur at very large values of $m_A$. We show that the generalized blind spots may occur in regions of parameter space that are consistent with the obtention of the proper neutralino relic density, and can be tested by non-standard Higgs boson searches and EWino searches at the LHC and future linear colliders.

  16. 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

  17. 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

  18. 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 ...

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2013-01-01T23:59:59.000Z

    global gasoline and diesel price and income elasticities.shift in the short-run price elasticity of gasoline demand.Habits and Uncertain Relative Prices: Simulating Petrol Con-

  20. Public Comment re Price-Anderson Act | Department of Energy

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

    Public Comment re Price-Anderson Act Public Comment re Price-Anderson Act Department of Energy (DOE) Price-Anderson Act Comments from White Pine County, Nevada. The views of many...

  1. Public Comment re Price-Anderson Act | Department of Energy

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

    Comment re Price-Anderson Act Public Comment re Price-Anderson Act Comments for modification of the Price-Anderson Act Notice of Inquiry(NOI) by the Board of Mineral County...

  2. Public comment re Price-Anderson Act | Department of Energy

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

    re Price-Anderson Act Public comment re Price-Anderson Act Comments on Notice of Inquiry Concerning Preparation of Report to Congress on the Price-Anderson Act. TRW Environmental...

  3. Competition and price discrimination in the market for mailing lists

    E-Print Network [OSTI]

    Borzekowski, Ron; Thomadsen, Raphael; Taragin, Charles

    2009-01-01T23:59:59.000Z

    Katz, M. L. (1984). Price discrimination and monopolistic395416. Shepard, A. (1991). Price discrimination and retailJ. (1952). The theory of price. New York: Macmillan. Stole,

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    shift in the short-run price elasticity of gasoline demand.A meta-analysis of the price elasticity of gasoline demand.2007. Consumer demand un- der price uncertainty: Empirical

  5. Fact #744: September 10, 2012 Average New Light Vehicle Price...

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

    Light Vehicle Price In 2011 the average used light vehicle price was 36% higher than in 1990, while the average new light vehicle price was 67% higher than it was in 1990. The...

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

    E-Print Network [OSTI]

    Scott, K. Rebecca

    2011-01-01T23:59:59.000Z

    per capita terms. When crude oil prices are used, these aredriven by the world crude oil price rather than by exchange-uctuations in the crude oil price. The overall mean real

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

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

    Sup) # Sup Squared Crude Oil Price Constant Years of Datafactors using the price of crude oil (Cushings, O K ) . AsN and N-squared. The price of crude oil is a significant and

  8. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

    an overall scheme of crude oil price regulation that met thebegan increasing crude oil prices in 1973 but the incomeselling price minus the average costs of crude oil and

  9. 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

  10. 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 ...

  11. 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 ...

  12. 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

  13. 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

  14. 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

  15. 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.

  16. 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...

  17. Equilibrium Pricing with Positive Externalities (Extended Abstract)

    E-Print Network [OSTI]

    Immorlica, Nicole

    a product in the presence of historical externalities? A low introductory price may attract early adoptersEquilibrium Pricing with Positive Externalities (Extended Abstract) Nima Anari1 , Shayan Ehsani1 an item to strategic buyers in the pres- ence of positive historical externalities, where the value

  18. Conservation Market Price Adder Wally Gibson

    E-Print Network [OSTI]

    Conservation Market Price Adder Wally Gibson Power Committee Web meeting May 19, 2009 May 19, 2009 relevant for resource choices · Conservation market price adder · Not the same as the 10% credit in the Act · Not the source of the surplus · Allows going further up the conservation supply curve · Captures difference

  19. 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

  20. 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

  1. 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...

  2. Consensus Coal Production And Price Forecast For

    E-Print Network [OSTI]

    Mohaghegh, Shahab

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

  3. 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.

  4. 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.

  5. 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

  6. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01T23:59:59.000Z

    capitalization of solar panels in housing prices measuresof log sales price on solar panels 94 Table 2.5:to home sales price of solar panels. The baseline equation

  7. CSEM WP 121 Speculative Trading and Market Performance

    E-Print Network [OSTI]

    California at Berkeley. University of

    decisions and price levels in New York's deregulated electricity market. For the ?rst two years of its of electricity. During this pe- riod, the forward price of electricity in western New York was signi and spot markets for electricity, resulting in the forward price being higher than the expected spot price

  8. Quality Guidelines for Energy System Studies: Fuel Pricing

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

    Benefits 20 Fuel Prices for Selected Feedstocks in NETL Studies Quality Guidelines for Energy System Studies November 2012 Forecasting the delivered price of any coal to any...

  9. Enforcement Guidance Supplement 00-02: Price-Anderson Amendment...

    Office of Environmental Management (EM)

    Enforcement Guidance Supplement 00-02: Price-Anderson Amendment Act (PAAA) Program Reviews Enforcement Guidance Supplement 00-02: Price-Anderson Amendment Act (PAAA) Program...

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

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

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

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

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

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

  12. 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...

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

    E-Print Network [OSTI]

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

    2007-01-01T23:59:59.000Z

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

  14. INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM

    E-Print Network [OSTI]

    Hopelain, D.G.

    2011-01-01T23:59:59.000Z

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

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

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

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

  16. Strategic Pricing and Resource Allocation: Framework and Applications

    E-Print Network [OSTI]

    Ren, Shaolei

    2012-01-01T23:59:59.000Z

    electricity prices and total available re- newable energies (March 21, 2012) in California, USA [electricity prices and total available renew- able energies (March 21, 2012) in California, USA [

  17. Impact of Ethanol Blending on U.S. Gasoline Prices

    SciTech Connect (OSTI)

    Not Available

    2008-11-01T23:59:59.000Z

    This study assesses the impact of ethanol blending on gasoline prices in the US today and the potential impact of ethanol on gasoline prices at higher blending concentrations.

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

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

    Gas Prices and Oil Consumption Would Increase Without Biofuels Fact Sheet: Gas Prices and Oil Consumption Would Increase Without Biofuels Secretary of Energy Samuel W. Bodman and...

  19. Friction Stir Spot Welding of DP780 Carbon Steel

    SciTech Connect (OSTI)

    Santella, Michael L [ORNL; Hovanski, Yuri [ORNL; Frederick, David Alan [ORNL; Grant, Glenn J [ORNL; Dahl, Michael E [ORNL

    2010-01-01T23:59:59.000Z

    Friction stir spot welds were made in uncoated and galvannealed DP780 sheets using polycrystalline boron nitride stir tools. The tools were plunged at either a single continuous rate or in two segments consisting of a relatively high rate followed by a slower rate of shorter depth. Welding times ranged from 1 to 10 s. Increasing tool rotation speed from 800 to 1600 rev min{sup -1} increased strength values. The 2-segment welding procedures also produced higher strength joints. Average lap shear strengths exceeding 10 {center_dot} 3 kN were consistently obtained in 4 s on both the uncoated and the galvannealed DP780. The likelihood of diffusion and mechanical interlocking contributing to bond formation was supported by metallographic examinations. A cost analysis based on spot welding in automobile assembly showed that for friction stir spot welding to be economically competitive with resistance spot welding the cost of stir tools must approach that of resistance spot welding electrode tips.

  20. Predicting hottest spot temperatures in ventilated dry type transformer windings

    SciTech Connect (OSTI)

    Pierce, L.W. (General Electric Co., Rome, GA (United States))

    1994-04-01T23:59:59.000Z

    Test data indicates that hottest spot allowances used in IEEE standards for ventilated dry type transformers above 500 kVA are too low. A mathematical model to predict hottest spot temperature rises in ventilated dry type transformers was developed. Data from six layer type test windings and a 2500 kva prototype was used to refine the model. A correlation for the local heat transfer coefficient in the cooling ducts was developed. The model was used to study the effect of various parameters on the ratio of hottest spot to average winding temperature rise. The number of conductor layers, insulation thickness, and conductor strand size were found to have only a minor effect on the ratio. Winding height was found to be the main parameter influencing the ratio of hottest spot to average winding temperature rise. The study based on the mathematical model confirmed previous conclusions based on test data that the hottest spot allowances used in IEEE standards for ventilated dry type transformers above 500 kVA should be revised.

  1. Regional Differences in the Price-Elasticity of Demand for Energy

    SciTech Connect (OSTI)

    Bernstein, M. A.; Griffin, J.

    2006-02-01T23:59:59.000Z

    At the request of the National Renewable Energy Laboratory (NREL), the RAND Corporation examined the relationship between energy demand and energy prices with the focus on whether the relationships between demand and price differ if these are examined at different levels of data resolution. In this case, RAND compares national, regional, state, and electric utility levels of data resolution. This study is intended as a first step in helping NREL understand the impact that spatial disaggregation of data can have on estimating the impacts of their programs. This report should be useful to analysts in NREL and other national laboratories, as well as to policy nationals at the national level. It may help them understand the complex relationships between demand and price and how these might vary across different locations in the United States.

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

    E-Print Network [OSTI]

    Visudhiphan, Poonsaeng, 1973-

    2003-01-01T23:59:59.000Z

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

  3. 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.

  4. Mortgage default and student outcomes, the solar home price premium, and the magnitude of housing price declines

    E-Print Network [OSTI]

    Dastrup, Samuel R.

    2011-01-01T23:59:59.000Z

    consumer adoption of solar panels in San Diego, Unpublishedlog sales price on solar panels 94 Table 2.5: Predictedestimates of log price on solar panels with neighborhood

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

    E-Print Network [OSTI]

    Gronli, Helle; Gomez San Ramon, Tomas; Marnay, Chris

    1999-01-01T23:59:59.000Z

    incentives given by transmission pricing form the foundationhas focussed on transmission pricing, monopoly regulation,

  6. 10.1177/0092070304267108 ARTICLEJOURNAL OF THE ACADEMY OF MARKETING SCIENCE WINTER 2005Fibich et al. / PRICE ELASTICITY OF DEMAND The Dynamics of Price Elasticity

    E-Print Network [OSTI]

    Fibich, Gadi

    . / PRICE ELASTICITY OF DEMAND The Dynamics of Price Elasticity of Demand in the Presence of Reference Price derive an expression for the price elasticity of demand in the presence of reference price effects. The effectof reference price is most noticeable immediately after a price change, before consumers have had

  7. COST AND PRICE ANALYSIS--AN EXPLANATION Some form of price or cost analysis should be performed in connection with every procurement action,

    E-Print Network [OSTI]

    Weston, Ken

    06/06 COST AND PRICE ANALYSIS--AN EXPLANATION Some form of price or cost analysis should, and the pricing situation. Determination of price reasonableness through price or cost analysis is required even purchases, price analysis alone will be sufficient; in others, price analysis will be used to corroborate

  8. Effect of Energy Efficiency Standards on Natural Gas Prices

    SciTech Connect (OSTI)

    Carnall, Michael; Dale, Larry; Lekov, Alex

    2011-07-26T23:59:59.000Z

    A primary justification for the establishment of energy efficiency standards for home appliances is the existence of information deficiencies and externalities in the market for appliances. For example, when a long-term homeowner purchases a new gas-fired water heater, she will maximize the value of her purchase by comparing the life-cycle cost of ownership of available units, including both total installed cost - purchase price plus installation costs - and operating cost in the calculus. Choice of the appliance with the lowest life-cycle costs leads to the most economically efficient balance between capital cost and fuel cost. However, if the purchaser's expected period of ownership is shorter than the useful life of the appliance, or the purchaser does not pay for the fuel used by the appliance, as is often the case with rental property, fuel cost will be external to her costs, biasing her decision toward spending less on fuel efficiency and resulting in the purchase of an appliance with greater than optimal fuel usage. By imposing an efficiency standard on appliances, less efficient appliances are made unavailable, precluding less efficient purchases and reducing fuel usage. The reduction in fuel demanded by residential users affects the total demand for such fuels as natural gas, for example. Reduced demand implies that residential customers are willing to purchase less gas at each price level. That is, the demand curve, labeled D{sub 0} in Figure 1, shifts to the left to D{sub 1}. If there is no change in the supply function, the supply curve will intersect the demand curve at a lower price. Residential demand is only one component of the total demand for natural gas. It is possible that total demand will decline very little if demand in other sectors increases substantially in response to a decline in the price. If demand does decrease, modeling studies generally confirm the intuition that reductions in demand for natural gas will result in reductions in its price as seen at the wellhead (Wiser 2007). The magnitude of the effect on price relative to the demand reduction, and the mechanism through which it occurs, is less well established. This report attempts to quantify the potential effects of reduced demand for natural gas in the residential sector, in response to the implementation of an energy efficiency standard for water heaters.

  9. The price of electricity from private power producers: Stage 2, Expansion of sample and preliminary statistical analysis

    SciTech Connect (OSTI)

    Comnes, G.A.; Belden, T.N.; Kahn, E.P.

    1995-02-01T23:59:59.000Z

    The market for long-term bulk power is becoming increasingly competitive and mature. Given that many privately developed power projects have been or are being developed in the US, it is possible to begin to evaluate the performance of the market by analyzing its revealed prices. Using a consistent method, this paper presents levelized contract prices for a sample of privately developed US generation properties. The sample includes 26 projects with a total capacity of 6,354 MW. Contracts are described in terms of their choice of technology, choice of fuel, treatment of fuel price risk, geographic location, dispatchability, expected dispatch niche, and size. The contract price analysis shows that gas technologies clearly stand out as the most attractive. At an 80% capacity factor, coal projects have an average 20-year levelized price of $0.092/kWh, whereas natural gas combined cycle and/or cogeneration projects have an average price of $0.069/kWh. Within each technology type subsample, however, there is considerable variation. Prices for natural gas combustion turbines and one wind project are also presented. A preliminary statistical analysis is conducted to understand the relationship between price and four categories of explanatory factors including product heterogeneity, geographic heterogeneity, economic and technological change, and other buyer attributes (including avoided costs). Because of residual price variation, we are unable to accept the hypothesis that electricity is a homogeneous product. Instead, the analysis indicates that buyer value still plays an important role in the determination of price for competitively-acquired electricity.

  10. Io hot spots - infrared photometry of satellite occultations

    SciTech Connect (OSTI)

    Goguen, J.D.; Matson, D.L.; Sinton, W.M.; Howell, R.R.; Dyck, H.M.

    1988-12-01T23:59:59.000Z

    Io's active hot spots, which are presently mapped on the basis of IR photometry of this moon's occultation by other Gallilean satellites, are obtained with greatest spatial resolution near the sub-earth point. A model is developed for the occultation lightcurves, and its fitting to the data defines the apparent path of the occulting satellite relative to Io; the mean error in apparent relative position of occulting satellites is of the order of 178 km. A heretofore unknown, 20-km diameter hot spot is noted on Io's leading hemisphere. 31 references.

  11. DRAFT DO NOT QUOTE Energy Prices and Energy Intensity in China: A Structural Decomposition Analysis and Econometrics Study

    E-Print Network [OSTI]

    Xiaoyu Shi; Karen R. Polenske; Xiaoyu Shi; Karen R. Polenske

    2005-01-01T23:59:59.000Z

    Since the start of its economic reforms in 1978, China's energy prices relative to other prices have increased. At the same time, its energy intensity, i.e., energy consumption per unit of Gross Domestic Product (GDP), has declined dramatically, by about 70%, in spite of increases in energy consumption. Is this just a coincidence? Or does a systematic relationship exist between energy prices and energy intensity? In this study, we examine whether and how Chinas energy price changes affect its energy intensity trend during 1980-2002 at a macro level. We conduct the research by using two complementary economic models: the input-output-based structural decomposition analysis (SDA) and econometric regression models and by using a decomposition method of own-price elasticity of energy intensity. Findings include a negative own-price elasticity of energy intensity, a price-inducement effect on energyefficiency improvement, and a greater sensitivity (in terms of the reaction of energy intensity towards changes in energy prices) of the industry sector, compared to the overall economy. Analysts can use these results as a starting point for China's energy and carbon

  12. anti-thyroid peroxidase levels: Topics by E-print Network

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

    states that the price levels at which there are higher accumulation of volume (the number of sharescontracts traded Sidorov, Nikita 136 Optimal Prediction of Resistance and...

  13. What is the Price of Carbon? Five definitions

    E-Print Network [OSTI]

    Paris-Sud XI, Universit de

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

  14. Pricing of Claims in Discrete Time with Partial Information

    SciTech Connect (OSTI)

    Rognlien Dahl, Kristina, E-mail: kristrd@math.uio.no [University of Oslo, Department of Mathematics (Norway)

    2013-10-15T23:59:59.000Z

    We consider the pricing problem of a seller with delayed price information. By using Lagrange duality, a dual problem is derived, and it is proved that there is no duality gap. This gives a characterization of the seller's price of a contingent claim. Finally, we analyze the dual problem, and compare the prices offered by two sellers with delayed and full information respectively.

  15. PRICING AND HEDGING SPREAD OPTIONS RENE CARMONA AND VALDO DURRLEMAN

    E-Print Network [OSTI]

    Carmona, Rene

    energy prices dynamics, and we explain how the pricing and hedging algorithms can be implemented bothPRICING AND HEDGING SPREAD OPTIONS REN´E CARMONA AND VALDO DURRLEMAN ABSTRACT. We survey the theoretical and the computational problems associated with the pricing of spread options. These options

  16. Dell recommends Windows 7. Students get the best price

    E-Print Network [OSTI]

    Almor, Amit

    Dell recommends Windows® 7. Students get the best price on consumer PCs from Dell* If you find a better price on your day of purchase, contact a Dell University specialist and we will beat that price come in small packages. DellTM XPSTM 14z Dell University Price$ 99999 ® 7 Home Premium VV Get

  17. The Price of Anarchy in Bertrand Games Shuchi Chawla

    E-Print Network [OSTI]

    Sheridan, Jennifer

    The Price of Anarchy in Bertrand Games Shuchi Chawla Computer Sciences Dept. University-stage network pricing game where service providers first select prices to charge on their links, and users then pick paths to route their traffic. We give tight bounds on the price of anarchy of the game

  18. Dynamic Stochastic Inventory Management with Reference Price Effects

    E-Print Network [OSTI]

    Chen, Xin

    Dynamic Stochastic Inventory Management with Reference Price Effects Xin Chen Department in which demand depends on not only the current selling price but also a memory-based reference price. Pricing and inventory decisions are made simultane- ously at the beginning of each period. Assuming all

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

    E-Print Network [OSTI]

    Tesfatsion, Leigh

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

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

    E-Print Network [OSTI]

    Huang, Jianwei

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