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Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


1

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

E-Print Network [OSTI]

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

Mohaddes, Kamiar

2012-03-02T23:59:59.000Z

2

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

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

3

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

4

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

5

Understanding Crude Oil Prices  

E-Print Network [OSTI]

2004. “OPEC’s Optimal Crude Oil Price,” Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

6

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

7

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

E-Print Network [OSTI]

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 ...

Ramberg, David J. (David John)

2010-01-01T23:59:59.000Z

8

The Weak Tie Between Natural Gas and Oil Prices  

E-Print Network [OSTI]

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 ...

Ramberg, David J.

9

Oil Prices and Long-Run Risk.  

E-Print Network [OSTI]

??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)

READY, ROBERT

2011-01-01T23:59:59.000Z

10

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

E-Print Network [OSTI]

Oil Price Trackers Inspired by Immune Memory William Wilson , Phil Birkin , and Uwe Aickelin School concepts for an immune inspired algorithm to evaluate and predict oil price time se- ries data Analysis of oil price trends The price of WTI crude oil (a world marker price for oil price movements

Aickelin, Uwe

11

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

12

Oil Prices and Terms of Trade.  

E-Print Network [OSTI]

?? 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)

Mirfacihi, Azar

2006-01-01T23:59:59.000Z

13

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

E-Print Network [OSTI]

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

Bertini, Robert L.

14

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...

15

Understanding Crude Oil Prices  

E-Print Network [OSTI]

business of having some oil in inventory, which is referredKnowledge of all the oil going into inventory today for salebe empty, because inventories of oil are essential for the

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

16

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

17

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

18

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

19

Understanding Crude Oil Prices  

E-Print Network [OSTI]

2007”. comparison, Mexico used 6.6— Chinese oil consumption17. Oil production from the North Sea, Mexico’s Cantarell,Mexico, Italy, France, Canada, US, and UK. Figure 10. Historical Chinese oil

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

20

Understanding Crude Oil Prices  

E-Print Network [OSTI]

and Income on Energy and Oil Demand,” Energy Journal 23(1),2006. “China’s Growing Demand for Oil and Its Impact on U.S.in the supply or demand for oil itself could be regarded as

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


21

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

22

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...

23

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

E-Print Network [OSTI]

??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)

Grimstad, Dan

2007-01-01T23:59:59.000Z

24

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

25

Oil Price Trackers Inspired by Immune Memory  

E-Print Network [OSTI]

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

Wilson, WIlliam; Aickelin, Uwe

2010-01-01T23:59:59.000Z

26

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

E-Print Network [OSTI]

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 ...

Padilla, Mercedes A. (Mercedes Angeles)

2005-01-01T23:59:59.000Z

27

Oil Price and the Dollar Virginie Coudert  

E-Print Network [OSTI]

Oil Price and the Dollar Virginie Coudert , Val´erie 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

Boyer, Edmond

28

Oil Price Shocks: Causes and Consequences  

E-Print Network [OSTI]

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.

Lutz Kilian; Key Words

29

Crude oil prices: Are our oil markets too tight?  

SciTech Connect (OSTI)

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.

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

1997-02-01T23:59:59.000Z

30

Oil Price Volatility  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing ReservoirsYear-Month WeekReservesYear Jan Feb0

31

Crude Oil Prices  

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

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

32

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

33

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

34

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,

35

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

36

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,

37

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,

38

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

39

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

40

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

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


41

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

42

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

E-Print Network [OSTI]

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

Adelman, Morris Albert

2003-01-01T23:59:59.000Z

43

Past, present and future evolution of oil prices  

E-Print Network [OSTI]

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

Corsetti, Manuel

2010-01-01T23:59:59.000Z

44

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...

45

Evidence of randomness in United States spot oil prices  

SciTech Connect (OSTI)

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.

Howard, B.W.

1989-01-01T23:59:59.000Z

46

What's Driving Oil Prices? James L. Smith  

E-Print Network [OSTI]

Issues in Energy Federal Reserve Bank of Dallas November 2, 2006 The Price of OPEC Oil ($/bbl) $0 $20 $40;8 DIFFERENCES AMONG OPEC MEMBERS Proved Oil Crude Oil Reserves to GDP Reserves Production Production Ratio Member $ per capita bbl per capita bbl per capita years Algeria 3,113 373 15 25 Indonesia 1,290 20 2 11

O'Donnell, Tom

47

Introduction to Macroeconomic Dynamics Special Issue on Oil Price Shocks  

E-Print Network [OSTI]

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

Garousi, Vahid

48

Criticality Characteristics of Current Oil Price Dynamics  

E-Print Network [OSTI]

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

Drozdz, Stanislaw; Oswiecimka, Pawel

2008-01-01T23:59:59.000Z

49

A new era for oil prices  

E-Print Network [OSTI]

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

Mitchell, John V.

2006-01-01T23:59:59.000Z

50

Fractality feature in oil price fluctuations  

E-Print Network [OSTI]

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

Momeni, M; Talebi, K

2008-01-01T23:59:59.000Z

51

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...

52

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...

53

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

54

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

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

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

55

Oil prices and government bond risk premiums Herv Alexandre*  

E-Print Network [OSTI]

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

Boyer, Edmond

56

The Impact of Oil Prices on the Air Transportation Industry  

E-Print Network [OSTI]

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

Hill, Wendell T.

57

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

58

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

59

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 oil priceheatingheating oil

60

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 B CAdministrationheatingheating oil

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


61

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 oilheating

62

Residential heating oil 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 Bheating oil priceheating

63

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 oil priceheatingheating

64

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 oil

65

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 pricepropane

66

Residential heating oil 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 JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil

67

Residential heating oil 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 JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5, 2014

68

Residential heating oil 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 JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStories »Submitter A Bheating oilheating oil5, 2014heating

69

Residential heating oil 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 A Bheating oilheating oil5,

70

Residential heating oil 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 A Bheating oilheating oil5,3, 2014

71

Residential heating oil 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 A Bheating oilheating oil5,3,

72

Residential heating oil 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 A Bheating oilheating oil5,3,5, 2014

73

Residential heating oil 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 A Bheating oilheating oil5,3,5, 20144,

74

Residential heating oil 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 A Bheating oilheating oil5,3,5,

75

Residential heating oil 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 A Bheating oilheating oil5,3,5,heating

76

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

E-Print Network [OSTI]

Prices of robustness and reblending in oil industry Stefan Janaqi.* Jorge Aguilera*. Meriam Chébre. In this paper we present a method to calculate the prices of robustness and reblending through a robust real-time optimization method for the on-line linear oil blending process. Our approach places this problem in a wider

Paris-Sud XI, Université de

77

World Oil Prices in AEO2007 (released in AEO2007)  

Reports and Publications (EIA)

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

2007-01-01T23:59:59.000Z

78

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]

?? 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)

Norris, Leah C.

2010-01-01T23:59:59.000Z

79

World Oil Price Cases (released in AEO2005)  

Reports and Publications (EIA)

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.

2005-01-01T23:59:59.000Z

80

Lower Oil Prices: A Reason to Give Thanks GENE EPSTEIN  

E-Print Network [OSTI]

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

California at Davis, University of

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


81

World Oil Prices in AEO2006 (released in AEO2006)  

Reports and Publications (EIA)

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.

2006-01-01T23:59:59.000Z

82

Table 21. Domestic Crude Oil First Purchase Prices  

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

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

83

Table 21. Domestic Crude Oil First Purchase Prices  

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

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

84

CRUDE OIL PRICE SHOCKS AND GROSS DOMESTIC PRODUCT.  

E-Print Network [OSTI]

??This study uses ordinary least squares estimation to test multivariate models in order to find out whether or not crude oil price shocks are contractionary… (more)

Hernandez, Jordan

2012-01-01T23:59:59.000Z

85

Crude Oil and Gasoline Price Monitoring  

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) " ,"ClickPipelines About U.S. NaturalA. MichaelDecadeNet Withdrawals1992What drives crude oil prices? April

86

Oil resources: the key to prosperity or to poverty? : Influence of oil price shocks on spending of oil revenues.  

E-Print Network [OSTI]

??Abundant natural resources, in particular oil, play an important role in the economics of many countries. The oil price shocks that have been happening continuously… (more)

Selivanova, Olga

2008-01-01T23:59:59.000Z

87

Metabolic paths in world economy and crude oil price  

E-Print Network [OSTI]

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

Picciolo, Francesco; Ruzzenenti, Franco

2015-01-01T23:59:59.000Z

88

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

E-Print Network [OSTI]

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

LeBlanc, Michael; Chinn, Menzie David

2004-01-01T23:59:59.000Z

89

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

E-Print Network [OSTI]

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

90

Rethinking Real Time Electricity Pricing  

E-Print Network [OSTI]

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 ...

Allcott, Hunt

91

Essays on oil price shocks and financial markets   

E-Print Network [OSTI]

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

Wang, Jiayue

2012-06-26T23:59:59.000Z

92

Table 21. Domestic Crude Oil First Purchase Prices  

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

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

93

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...

94

Economic Effects of High Oil Prices (released in AEO2006)  

Reports and Publications (EIA)

The Annual Energy Outlook 2006 projections of future energy market conditions reflect the effects of oil prices on the macroeconomic variables that affect oil demand, in particular, and energy demand in general. The variables include real gross domestic product (GDP) growth, inflation, employment, exports and imports, and interest rates.

2006-01-01T23:59:59.000Z

95

Fortuna: Model Checking Priced Probabilistic Timed Automata  

E-Print Network [OSTI]

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

Vaandrager, Frits

96

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...

97

On the relationship between world oil prices and GCC stock markets  

E-Print Network [OSTI]

On the relationship between world oil prices and GCC stock markets Mohamed El Hedi Arouri Associate ABSTRACT We provide comprehensive evidence on the relationship between oil prices and stock mar- kets to be more sensitive to negative than to positive oil shocks. Keywords: oil prices, stock markets, GCC

Paris-Sud XI, Université de

98

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

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

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

99

Summary Statistics Table 1. Crude Oil Prices  

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

Energy Information Administration, Form FEA-P110-M-1, "Refiners' Monthly Cost Allocation Report," January 1978 through June 1978; Form ERA-49, "Domestic Crude Oil Entitlements...

100

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

E-Print Network [OSTI]

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

Herce, Miguel Angel

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


101

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

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

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

102

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

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

EIA: High Oil Prices, GHG Controls Would Help Clean Energy Grow EIA: High Oil Prices, GHG Controls Would Help Clean Energy Grow April 1, 2009 - 11:35am Addthis The growth of...

103

Summary Statistics Table 1. Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

"Monthly Foreign Crude Oil Acquisition Report"; and Form EIA-14, "Refiners' Monthly Cost Report." 0 6 12 18 24 30 J F M A M J J A S O N D 1998 Dollars per Barrel RAC First...

104

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

E-Print Network [OSTI]

OIL PRICE IMPACT ON FINANCIAL MARKETS: CO-SPECTRAL ANALYSIS FOR EXPORTING VERSUS IMPORTING://www.economie.polytechnique.edu/ mailto:chantal.poujouly@polytechnique.edu hal-00822070,version1-14May2013 #12;1 Oil price impact Khaled Guesmi3 Abstract The aim of this paper is to study the degree of interdependence between oil price

Boyer, Edmond

105

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

E-Print Network [OSTI]

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

Boyer, Edmond

106

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

E-Print Network [OSTI]

Economically rational expectations theory: evidence from the WTI oil price survey data Georges PRAT of the economically rational expectation theory, this article shows how an expert chooses an optimal oil price traditional processes explains satisfactorily oil price expectations, which appear to exert a stabilizing

Paris-Sud XI, Université de

107

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

E-Print Network [OSTI]

Is There Evidence of Super Cycles in Oil Prices?* Abdel M. Zellou and John T. Cuddington** March 22: is there evidence of super cycles in crude oil prices? On one hand, one might expect the strong demand associated analysis suggests that there is strong evidence of super cycles in oil prices in the post-WWII period

108

The oil price really is a speculative bubble  

E-Print Network [OSTI]

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

Eckaus, Richard S.

2008-01-01T23:59:59.000Z

109

Fortuna: Model Checking Priced Probabilistic Timed Automata  

E-Print Network [OSTI]

Fortuna: Model Checking Priced Probabilistic Timed Automata Jasper Berendsen, David N. Jansen, the Netherlands Email: jasperb,dnjansen,fvaan @cs.ru.nl Abstract--We introduce FORTUNA, the first tool for model of probabilistic timed automata (PTAs) with cost-rates and discrete cost increments on states. FORTUNA is able

Vaandrager, Frits

110

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

E-Print Network [OSTI]

Does Big Oil Collude and Price Gouge? Big Oil came back into the headlines in recent weeks gasoline price spike, Congress summoned the executives of the Big Oil companies to testify about their enormous profits. Some commentators and pundits characterize the pricing policy of Big Oil as "price

Ahmad, Sajjad

111

The effect of biofuel on the international oil market  

E-Print Network [OSTI]

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

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

2010-01-01T23:59:59.000Z

112

1. (F11PR) You are given: Year Oil Forward Price Zero Coupon ...  

E-Print Network [OSTI]

Apr 23, 2013 ... The price of 2 year oil swap which provides two barrels of oil at the end of one year and five barrels of oil at the end of two years is 137.60.

Jeff Beckley

2013-04-23T23:59:59.000Z

113

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

E-Print Network [OSTI]

Oil price shocks and their short- and long-term effects on the Chinese economy Weiqi Tang a , Libo-correction model Oil-price shocks Price transmission mechanisms Investment Output Producer/consumer price index of oil-price shocks for the developed economies. However, there has been a lack of similar empirical

Matthews, Adrian

114

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

E-Print Network [OSTI]

Volume 29, Issue 2 On the short-term influence of oil price changes on stock markets Rouen & LEO Abstract This paper examines the short-run relationships between oil prices and GCC stock to oil price shocks. To account for the fact that stock markets may respond nonlinearly to oil price

Paris-Sud XI, Université de

115

Residential heating oil prices virtually unchanged  

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 oil5,3,5,heating4

116

Microsoft Word - high-oil-price.doc  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0,InformationU.S. Crude Oil3 13, 19982,Short Term Energy

117

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

E-Print Network [OSTI]

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...

Kulkarni, Siddhivinayak

2009-01-01T23:59:59.000Z

118

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

E-Print Network [OSTI]

did not reflect the true volatility in crude oil prices. The name posted oil price was derived from a sheet that was posted in a producing field. The WTI price data were collected from Energy Information Administration (EIA) website25. EIA... projects; we correlated historical expenses data with oil price. Figs. 3.3 and 3.4 are graphs of the production and drilling costs correlations with oil price. The historical oilfield drilling and production data was taken from EIA website and the Energy...

Mendjoge, Ashish V

2004-09-30T23:59:59.000Z

119

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

Reports and Publications (EIA)

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.

2009-01-01T23:59:59.000Z

120

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

SciTech Connect (OSTI)

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

Not Available

1994-03-21T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


121

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

Reports and Publications (EIA)

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

2010-01-01T23:59:59.000Z

122

Visualizations for Real-time Pricing Demonstration  

SciTech Connect (OSTI)

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 system’s 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.

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

2014-10-13T23:59:59.000Z

123

Do crude oil price changes affect economic growth of India, Pakistan and Bangladesh?.  

E-Print Network [OSTI]

?? This paper analyzes empirically the effect of crude oil price change on the economic growth of Indian-Subcontinent (India, Pakistan and Bangladesh). We use a… (more)

Akram, Muhammad

2012-01-01T23:59:59.000Z

124

Effects of futures market manipulation on crude oil prices: An empirical examination.  

E-Print Network [OSTI]

??Crude oil prices moved irregularly in the period leading to the financial meltdown in the beginning of 2008. This research paper deals with the explaining… (more)

Elhelou, Rami

2011-01-01T23:59:59.000Z

125

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

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

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

126

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

Gasoline and Diesel Fuel Update (EIA)

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

127

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

Gasoline and Diesel Fuel Update (EIA)

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

128

Residential Real-time Price Response Simulation  

SciTech Connect (OSTI)

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.

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

2011-10-10T23:59:59.000Z

129

Time of Use Energy Pricing Memo December 17, 2013  

E-Print Network [OSTI]

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

Kammen, Daniel M.

130

A Survey of Utility Experience with Real Time Pricing  

E-Print Network [OSTI]

Day Ahead Hourly Time of Use Tariff Description This is aTariff Name Real Time Pricing: Non-Residential Service Day Ahead Hourly Time of Use

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-01-01T23:59:59.000Z

131

Optimal Time-of-Use Pricing For Residential Load Control  

E-Print Network [OSTI]

a novel algorithm for finding an optimum time-of-use electricity pricing in monopoly utility markets implementing a demand response strategy. Finally, the effect of demand response in electricity prices to changes in the price of electricity over time via incentive payments designed to induce lower electricity

Kumar, Sunil

132

Volatility of Power Grids Under Real-Time Pricing  

E-Print Network [OSTI]

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

Roozbehani, Mardavij

133

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

Reports and Publications (EIA)

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.

2008-01-01T23:59:59.000Z

134

The effect of biofuel on the international oil market  

E-Print Network [OSTI]

countries, at times when crude oil prices surged during 2002Texas Intermediate price of crude oil. To this end, we knowcrude oil and biofuels in 2007 (see Table 1). Speci?cally, we use price

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

2010-01-01T23:59:59.000Z

135

Drunk On Oil: Russian Foreign Policy 2000-2007  

E-Print Network [OSTI]

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

Brugato, Thomas

2008-01-01T23:59:59.000Z

136

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

E-Print Network [OSTI]

1 On the shortterm influence of oil price changes on stock markets in GCC countries the short-run relationships between oil prices and GCC stock markets. Since GCC countries are major world energy market players, their stock markets may be susceptible to oil price shocks. To account

Paris-Sud XI, Université de

137

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

138

OIL AND NATURAL GAS PRICES: TOGETHER AGAIN? 1 Prakash Loungani (International Monetary Fund)  

E-Print Network [OSTI]

Crude oil and natural gas are important energy sources. Their prices in the U.S. are volatile and nominal rigidity does not play an important role. In addition, the law of one price between German and the U.S. markets holds quite well in the sense that the relative price exhibits stationarity. However, the natural gas prices in the two markets have diverged recently. We show that this is due to structural changes in the U.S. natural gas market rather than long term based contract prices in Germany. Nonetheless we conjecture future recovery of the law of one price.

Akito Matsumoto (international Monetary Fund

139

A Linear Time Algorithm for Pricing European Sequential Barrier Peng Gao Ron van der Meyden  

E-Print Network [OSTI]

option contract states an agreed price for a crude oil transaction 3 months in the future of the date depends on the current crude oil market price and expectations concerning price movements. Although period. Option con- tracts are one simple kind of financial derivative. For example, a 3-month crude oil

van der Meyden, Ron

140

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

Reports and Publications (EIA)

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

2009-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


141

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

Reports and Publications (EIA)

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

2010-01-01T23:59:59.000Z

142

Real-Time Pricing of Electricity: An Assessment  

E-Print Network [OSTI]

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

Baughman, M. L.; Zarnikau, J.

143

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

E-Print Network [OSTI]

the dynamic behavior of crude-oil prices for the period 1997-2008. Using data from four countries of the GulfTime-varying Predictability in Crude Oil Markets: The Case of GCC Countries Mohamed El Hedi Arouri Paris, France Phone: +33 1 40 53 99 99 ­ Fax: +33 1 40 53 98 98 Abstract This paper uses a time

Paris-Sud XI, Université de

144

A reexamination of the crude oil price-unemployment relationship in the United States  

SciTech Connect (OSTI)

This study begins by asking whether fluctuations in the price of crude oil have affected employment and the rate of unemployment in the US. After reviewing previous assessments of the issue, the existence of an empirical relationship between the rate of unemployment and crude oil price volatility is established using Granger causality. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impact of a percentage change in the real price of crude oil on the change in unemployment is exhausted. Finally, the structural stability of the functional relationship between the change in unemployment and the volatility of the price of crude oil and the percentage change in gross national product is examined.

Uri, N.D. [Economic Research Service, Washington, DC (United States). Natural Resources and Environment Div.; Boyd, R. [Ohio Univ., Athens, OH (United States). Dept. of Economics

1996-04-01T23:59:59.000Z

145

The impact of crude-oil price volatility on agricultural employment in the United States  

SciTech Connect (OSTI)

This study focuses on the impact of fluctuations in the price of crude oil on agricultural employment in the United States. After reviewing previous assessments of the issue, the existence of an empirical relationship between agricultural employment and crude oil price volatility is established using Granger causality. Subsequently, the nature of the relationship is estimated with the results suggesting that at least three full years are required before the measurable impacts of a percentage change in the real price of crude oil on the change in agricultural employment are exhausted. Finally, the structural stability of the functional relationship between the change in agricultural employment and the volatility of the price of crude oil, the percentage changes in expected net farm income, realized technological innovation, and the wage rate is examined.

Uri, N.D. [Dept. of Agriculture, Washington, DC (United States)

1995-12-31T23:59:59.000Z

146

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

Gasoline and Diesel Fuel Update (EIA)

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

147

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

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

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

148

Price Responsiveness of First-time Students A Comparison of the Tuition Price and Financial Aid Responsiveness of  

E-Print Network [OSTI]

Price Responsiveness of First-time Students A Comparison of the Tuition Price and Financial Aid. Heller #12;Price Responsiveness of First-time Students Abstract This study expands on the existing body of student price responsiveness research by comparing the tuition and financial aid sensitivity of first

Heller, Don

149

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

E-Print Network [OSTI]

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

E. Latőšov; A. Volkova; A. Siirde

150

Oil futures prices in a production economy with investment constraints  

E-Print Network [OSTI]

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

Kogan, Leonid

2008-01-01T23:59:59.000Z

151

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

SciTech Connect (OSTI)

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.

Abosedra, S.S.

1984-01-01T23:59:59.000Z

152

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

E-Print Network [OSTI]

Mick Jagger Explains High Crude Oil Prices How can Mick Jagger of The Rolling Stones help explain the current high crude oil price? It does not relate to Mick' short stint at the London School of Economics, the oil industry operates on the same principle, at least in the short run. The industry relies on proven

Ahmad, Sajjad

153

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

E-Print Network [OSTI]

Oil Prices, Stock Markets and Portfolio Investment: Evidence from Sector Analysis in Europe over This article extends the understanding of oil­stock market relationships over the last turbulent decade. Unlike returns to oil price changes differ greatly depending on the activity sector. In the out

Paris-Sud XI, Université de

154

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

Broader source: Energy.gov [DOE]

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

155

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

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

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

156

The first oil price explosion 1971-1974  

E-Print Network [OSTI]

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

Adelman, Morris Albert

1990-01-01T23:59:59.000Z

157

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

E-Print Network [OSTI]

.g. Iraq war), changes in weather conditions (e.g. global warming), the behaviour of commodity prices can be expected to be nonstationary. 2 There has been some statistical study in this area (e.g. Deb et al., 1996, Taylor, 1980), though, research... returns of gas oil, coffee and rice. Figure I 16 Figure I. Time Series Plot. Gas Oil 0 500 1000 1500 2000 2500 3000 -20 -10 0 10 Ga s Oi l Coffee 0 500 1000 1500 2000 2500 3000 -30 -20 -10 0 10 20 Co ffe e 17 Rice 0 500 1000 1500 2000 2500 3000 -20 -10 0...

Sancetta, Alessio; Nikanrova, Arina

2006-03-14T23:59:59.000Z

158

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

SciTech Connect (OSTI)

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

McClanahan, Janice

2001-04-01T23:59:59.000Z

159

On the stability of wholesale electricity markets under real-time pricing  

E-Print Network [OSTI]

The paper proposes a mathematical model for the dynamic evolution of supply, demand, and clearing prices under a class of real-time pricing mechanisms characterized by passing on the real-time wholesale prices to the end ...

Roozbehani, Mardavij

160

Real-time Pricing Demand Response in Operations  

SciTech Connect (OSTI)

Abstract—Dynamic pricing schemes have been implemented in commercial and industrial application settings, and recently they are getting attention for application to residential customers. Time-of-use and critical-peak-pricing rates are in place in various regions and are being piloted in many more. These programs are proving themselves useful for balancing energy during peak periods; however, real-time (5 minute) pricing signals combined with automation in end-use systems have the potential to deliver even more benefits to operators and consumers. Besides system peak shaving, a real-time pricing system can contribute demand response based on the locational marginal price of electricity, reduce load in response to a generator outage, and respond to local distribution system capacity limiting situations. The US Department of Energy (DOE) is teaming with a mid-west electricity service provider to run a distribution feeder-based retail electricity market that negotiates with residential automation equipment and clears every 5 minutes, thus providing a signal for lowering or raising electric consumption based on operational objectives of economic efficiency and reliability. This paper outlines the capability of the real-time pricing system and the operational scenarios being tested as the system is rolled-out starting in the first half of 2012.

Widergren, Steven E.; Marinovici, Maria C.; Berliner, Teri; Graves, Alan

2012-07-26T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


161

Time-to-Produce, Inventory, and Asset Prices  

E-Print Network [OSTI]

In a production-based general equilibrium model, I study the impact of time-to-build and time-to-produce technology constraints and inventory on asset prices and macroeconomic quantity dynamics. A time-to-build constraint captures the delay...

Chen, Zhanhui

2012-10-19T23:59:59.000Z

162

Real Time Pricing and the Real Live Firm  

SciTech Connect (OSTI)

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

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

2004-05-26T23:59:59.000Z

163

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

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

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

164

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

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

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

165

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

E-Print Network [OSTI]

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

Hwang, Min; Quigley, John M.

2007-01-01T23:59:59.000Z

166

The Models of Estimating Oil Shale Flows and Price  

E-Print Network [OSTI]

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

Tauno Tammeoja; Aire Västrik

167

Cost Optimal Operation of Thermal Energy Storage System with Real-Time Prices  

E-Print Network [OSTI]

Cost Optimal Operation of Thermal Energy Storage System with Real-Time Prices Toru Kashima, Member of the result [4]. The same can be said for time varying real-time prices. Real-time energy pricing is not yet such as chillers. Energy resources such as electricity or natural gas are bought from suppliers at certain prices

168

Option pricing and hedging with heteroscedastic underlying price processes. Discrete and continuous time  

E-Print Network [OSTI]

Modeling of the underlying: the GARCH and ARSV processes 2 Physical and risk neutral measures 3 Continuous time GARCH diffusion limits 4 Pricing and hedging 5 Numerical Experiments 6 Hedging ARSV options Juan-Pablo Ortega (CNRS) 2 / 61 #12;Modelling the underlying: the GARCH and ARSV GARCH(1,1) under physical measure P

Jeanjean, Louis

169

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

E-Print Network [OSTI]

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

Mohaddes, Kamiar; Raissi, Mehdi

2011-12-08T23:59:59.000Z

170

Wireless technology collects real-time information from oil and...  

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

Wireless technology collects real-time information from oil and gas wells Wireless technology collects real-time information from oil and gas wells The patented system delivers...

171

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

SciTech Connect (OSTI)

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

Oladosu, Gbadebo A [ORNL

2009-01-01T23:59:59.000Z

172

Essays on Pricing Behaviors of Energy Commodities  

E-Print Network [OSTI]

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...

Qin, Xiaoyan

2012-07-16T23:59:59.000Z

173

Product Guide Product Guide Volumes Category Prices Table Crude Oil  

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.End Users55,453.9 54,959.25

174

Product Guide Product Guide Volumes Category Prices Table Crude Oil  

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.End Users55,453.9 54,959.256

175

Product Guide Product Guide Volumes Category Prices Table Crude Oil  

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.End Users55,453.9 54,959.256

176

Residual Fuel Oil Prices, Average - Sales to End Users  

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 CokersA2. ForJanuary 2013 (Thousand2009

177

Optimal Battery Configuration in a Residential Home with Time-of-Use Pricing  

E-Print Network [OSTI]

is higher. Energy arbitrage leverages these different energy prices by buying the extra energy when the prices are low, storing it in an energy storage device and then using the stored energy when the priceOptimal Battery Configuration in a Residential Home with Time-of-Use Pricing Baris Aksanli

Simunic, Tajana

178

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

E-Print Network [OSTI]

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

Bhatia, Sangeeta

179

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

E-Print Network [OSTI]

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

Blanchard, Olivier

2007-01-01T23:59:59.000Z

180

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

E-Print Network [OSTI]

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

Adelman, Morris Albert

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


181

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

E-Print Network [OSTI]

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

Costanzo, Sabatino; Dehne, Wafaa; Prato, Hender

2007-01-01T23:59:59.000Z

182

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

E-Print Network [OSTI]

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

Phillips, David

183

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

SciTech Connect (OSTI)

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

Moriarty, C.

1996-05-01T23:59:59.000Z

184

The impact of gasoline price changes on traffic safety: a time geography explanation Guangqing Chi a,  

E-Print Network [OSTI]

The impact of gasoline price changes on traffic safety: a time geography explanation Guangqing Chi, United States a r t i c l e i n f o Keywords: Time geography Gasoline prices Traffic safety Traffic crashes Fatal crashes Space­time path a b s t r a c t The impact of gasoline price changes on traffic

Levinson, David M.

185

Pricing of Claims in Discrete Time with Partial Information  

SciTech Connect (OSTI)

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.

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

2013-10-15T23:59:59.000Z

186

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

E-Print Network [OSTI]

if conventional oil production was no longer able to satisfy demand? Fuels from non-conventional oil resources would then become the backstop fuel. These resources involve higher CO2 emissions per unit of energy produced than conventional oil as they require... ?EMUC ? GDPgrowth ?POPgrowth? ? (13) r is the consumption discount rate (% per year) EMUC is the elasticity of marginal utility of consumption (no unit) ptp is the pure time preference rate (% per year) GDPgrowth is the growth of GDP (% per year...

Méjean, Aurélie; Hope, Chris

187

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

E-Print Network [OSTI]

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

188

The Impact of Rising Food Prices on Household Welfare in India  

E-Print Network [OSTI]

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

de Janvry, Alain; Sadoulet, Eliisabeth

2009-01-01T23:59:59.000Z

189

Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging  

E-Print Network [OSTI]

owners may also benefit from lower energy cost in the face of spiking gasoline prices. Although1 Real-Time Load Elasticity Tracking and Pricing for Electric Vehicle Charging Nasim Yahya Soltani price intelligently for individual customers to elicit desirable load curves. In this context

Giannakis, Georgios

190

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

E-Print Network [OSTI]

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

Fontana, Michelle

2011-08-08T23:59:59.000Z

191

MIDWEST ISO CO-OPTIMIZATION BASED REAL-TIME DISPATCH AND PRICING OF ENERGY AND ANCILLARY SERVICES  

E-Print Network [OSTI]

day-ahead counterpart, real-time locational marginal prices (LMP) are calculated every fiveMIDWEST ISO CO-OPTIMIZATION BASED REAL-TIME DISPATCH AND PRICING OF ENERGY AND ANCILLARY SERVICES-time dispatch and pricing. The RT SCED formulation at the core of the real-time dispatch and pricing market

Tesfatsion, Leigh

192

ORNL/TM-2005/45 COSTS OF U.S. OIL DEPENDENCE: 2005 UPDATE  

E-Print Network [OSTI]

..........................................................................................29 5.2 CASE 1A: OIL PRICE ELASTICITY OF GDP VARIES WITH OIL COST SHARE .......................................................................................................36 5.3 CASE 1B: OIL PRICE ELASTICITY OF GDP CONSTANT OVER TIME ......37 5.4 CASE 2: STOCHASTIC ....................................................................................40 5.6 THE IMPACT OF CONTINUED HIGH OIL PRICES IN 2005..........................42 6. CONCLUSIONS

193

Countries Distillate Heating Oil (No. 2 Heating Oil and Gasoil) Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: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,,781Title: Telephone:shortOilCompanyexcluding taxes) Date

194

Countries Distillate Heating Oil (No. 2 Heating Oil and Gasoil) Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: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,,781Title: Telephone:shortOilCompanyexcluding taxes) Dateexcluding

195

Countries Distillate Heating Oil (No. 2 Heating Oil and Gasoil) Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: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,,781Title: Telephone:shortOilCompanyexcluding taxes)

196

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

E-Print Network [OSTI]

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

Brandt, Adam R.; Farrell, Alexander E.

2008-01-01T23:59:59.000Z

197

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

E-Print Network [OSTI]

T. M.Gordon, and J. M. Quigley (1999), “The Valuation ofQuan, D. C. and J. M. Quigley (1991), “Price Formation andand Economics, 4(2), 127-46. Quigley, J. M. (2002), “

Hwang, Min; Quigley, John M.

2007-01-01T23:59:59.000Z

198

Real Time Pricing Tie Line Control: A Case Study  

E-Print Network [OSTI]

expensive than the price offered by the utility. Conversely, when the price to buy energy is less expensive than it is to produce it, a facility may choose to back off on self-generation and buy more energy. One such Advanced Tie Line Control system...

Childress, R.

199

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)

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.

NONE

1998-11-01T23:59:59.000Z

200

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

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


201

Effect of real-time electricity pricing on renewable generators and system emissions  

E-Print Network [OSTI]

Real-time retail pricing (RTP) of electricity, in which the retail price is allowed to vary with very little time delay in response to changes in the marginal cost of generation, offers expected short-run and long-run ...

Connolly, Jeremiah P. (Jeremiah Peter)

2008-01-01T23:59:59.000Z

202

Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing  

E-Print Network [OSTI]

Near Optimal Demand-Side Energy Management Under Real-time Demand-Response Pricing Jin Xiao, Jae--In this paper, we present demand-side energy manage- ment under real-time demand-response pricing as a task, demand-response, energy management I. INTRODUCTION The growing awareness of global climate change has

Boutaba, Raouf

203

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

204

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

205

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

206

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

E-Print Network [OSTI]

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

207

A Survey of Utility Experience with Real Time Pricing  

SciTech Connect (OSTI)

While more than 70 utilities in the U.S. have offered voluntary RTP tariffs on either a pilot or permanent basis, most have operated in relative obscurity. To bring this broad base of experience to bear on policymakers current efforts to stimulate price responsive demand, we conducted a survey of 43 voluntary RTP tariffs offered in 2003. The survey involved telephone interviews with RTP program managers and other utility staff, as well as a review of regulatory documents, tariff sheets, program evaluations, and other publicly available sources. Based on this review of RTP program experience, we identify key trends related to: utilities motivations for implementing RTP, evolution of RTP tariff design, program participation, participant price response, and program outlook. We draw from these findings to discuss implications for policymakers that are currently considering voluntary RTP as a strategy for developing price responsive demand.

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-12-01T23:59:59.000Z

208

Optimal Residential Load Control with Price Prediction in Real-Time  

E-Print Network [OSTI]

for both end users and utility companies. Keywords: Wholesale electricity market, real-time pricing, inclin and automatic residential energy con- sumption scheduling framework which attempts to achieve a desired trade to be used by the price predictor filter. Simulation results show that the combination of the proposed energy

Mohsenian-Rad, Hamed

209

Diesel prices decrease for first time in four weeks  

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 pricesDiesel

210

Diesel prices decrease for first time in four weeks  

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 pricesDieselDiesel prices

211

Successful Real Time Pricing (RTP) Tieline Control Must Do More Than Save Money  

E-Print Network [OSTI]

Industrial cogeneration facilities are finding electrical procurement contracts with Real Time Pricing (RTP) clauses attractive. By accepting a portion of the variable energy cost risk, the industrial can reduce the average cost of electricity...

Robinson, J.

2008-01-01T23:59:59.000Z

212

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

E-Print Network [OSTI]

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

Paris-Sud XI, Université de

213

The relation between Brazilian and Chicago Board of Trade soybean prices: a time series test  

E-Print Network [OSTI]

THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis BRUNO MELCHER 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 May 1991 Major Subject: Agricultural Economics THE RELATION BETWEEN BRAZILIAN AND CHICAGO BOARD OF TRADE SOYBEAN PRICES ? A TIME SERIES TEST A Thesis by BRUNO MELCHER Approved as to style and content by: ' f J David...

Melcher, Bruno

1991-01-01T23:59:59.000Z

214

Real-Time Pricing- A Flexible Alternative for Electrical Power Supply  

E-Print Network [OSTI]

REAL-TIME PRICING - A FLEXIBLE ALTERNATIVE ..OR ELECTRICAL POWER SUPPLY S. D. REYNOLDS Manager of Industrial Marketing & Services Tennessee Valley Authority Chattanooga, Tennessee ABSTRACT In an increasingly competitive operating... environment, utilities must place greater emphasis on developing programs that benefit the customer while at the same time benefiting the utility. Economy Surplus Power (ESP) is such a program. ESP offers industrial customers attractively priced power...

Reynolds, S. D.; Frye, A. O. Jr.

215

A Time Series Analysis of Food Price and Its Input Prices  

E-Print Network [OSTI]

....................................... 27 4.5 Residual Correlation Matrix of the VECM ................................................ 28 4.6 Decomposition of Forecast Error Variance for Each of Eight Series ........ 40 1 CHAPTER I INTRODUCTION Global food prices have....94 0.50 2.96 4.90 .13 Gasoline 0.79 0.34 0.12 1.41 .43 Corn 1.06 0.43 0.40 1.99 .41 Food CPI 5.28 0.10 5.12 5.45 .02 Ethanol 0.59 0.29 -0.06 1.29 .49 Food PPI 5.03 0.13 4.84 5.28 .03 Fuel PPI 4.98 0.29 4.41 5.59 .06 Dollar Index 4.70 0.09 4.55 4...

Routh, Kari 1988-

2012-11-27T23:59:59.000Z

216

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network [OSTI]

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

Hopelain, D.G.

2011-01-01T23:59:59.000Z

217

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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,

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

218

Diesel prices decrease for first time in four weeks  

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

219

Diesel prices decrease for first time in four weeks  

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 pricesDieselDiesel

220

Diesel prices decrease for first time in four weeks  

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 pricesDieselDieselU.S. Diesel

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


221

Diesel prices decrease for first time in four weeks  

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 pricesDieselDieselU.S.

222

Diesel prices decrease for first time in four weeks  

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 pricesDieselDieselU.S.U.S.

223

Diesel prices decrease for first time in four weeks  

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 increase for

224

Diesel prices decrease for first time in seven weeks  

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 increase

225

Diesel prices increase for first time in six weeks  

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 increase

226

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

227

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

E-Print Network [OSTI]

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

Ahmad, Sajjad

228

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

SciTech Connect (OSTI)

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

Not Available

1991-10-01T23:59:59.000Z

229

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

SciTech Connect (OSTI)

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

Not Available

1991-10-01T23:59:59.000Z

230

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

E-Print Network [OSTI]

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

Davis, Lucas; Muehlegger, Erich

2009-01-01T23:59:59.000Z

231

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

SciTech Connect (OSTI)

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

Not Available

1988-12-30T23:59:59.000Z

232

Gasoline price data systems  

SciTech Connect (OSTI)

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.

Not Available

1980-05-01T23:59:59.000Z

233

Demand Response-Enabled Model Predictive HVAC Load Control in Buildings using Real-Time Electricity Pricing.  

E-Print Network [OSTI]

??A practical cost and energy efficient model predictive control (MPC) strategy is proposed for HVAC load control under dynamic real-time electricity pricing. The MPC strategy… (more)

Avci, Mesut

2013-01-01T23:59:59.000Z

234

Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns  

E-Print Network [OSTI]

1991). New evidence on home prices from Freddie Mac repeatmethod for real estate price index construction. Journal ofC. A. (1996). OFHEO house price indexes: HPI technical

Hwang, Min; Quigley, John M.

2010-01-01T23:59:59.000Z

235

Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns  

E-Print Network [OSTI]

C. A. (1996). OFHEO house price indexes: HPI technicalsense of elevated housing prices. Federal Reserve Bank ofJ. E. (1991). Measuring prices in retransaction housing

Hwang, Min; Quigley, John M.

2010-01-01T23:59:59.000Z

236

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

E-Print Network [OSTI]

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

Borenstein, Severin

2007-01-01T23:59:59.000Z

237

Impact of Oil Prices Fluctuations on Economies in the Age of Globalization.  

E-Print Network [OSTI]

??Early in the past century, oil has powered economic growth in industrialized economies. Towards the end of the 20th century, as emerging and underdeveloped economies… (more)

Soh feussi, Ancel Raynaud

2013-01-01T23:59:59.000Z

238

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

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

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

239

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

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

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

240

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

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

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

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


241

Pricing bivariate option under GARCH processes with time-varying copula  

E-Print Network [OSTI]

Pricing bivariate option under GARCH processes with time-varying copula J. Zhang a,b,c,, D. Gu Autoregressive Conditionally Heteroskedastic (GARCH) process. As the associa- tion between the underlying assets, the empirical work displays the advantages of the suggested method. Key words: call-on-max option, GARCH process

Boyer, Edmond

242

The Potential of Energy Management and Control Systems for Real-Time Electricity Pricing Programs  

E-Print Network [OSTI]

provides an opportunity for the utility to implement this network by linking directly with equipment already in place: customer-owned energy management and control systems (EMCS). This paper assesses the potential use of EMCSs in utility real-time pricing...

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

243

Discrete choice models of traveler participation in differential time of day pricing programs  

E-Print Network [OSTI]

variable pricing experiments, there is little empirical data on potential traveler response and traf Tolls that vary based on time of day or congestion are gaining attention around the world as a potential travel demand management strategy that can shift peak period travel to off peak periods thereby

Burris, Mark W.

244

CSEM WP 136 Is Real-Time Pricing Green?: The Environmental  

E-Print Network [OSTI]

CSEM WP 136 Is Real-Time Pricing Green?: The Environmental Impacts of Electricity Demand Variance Stephen P. Holland and Erin T. Mansur August 2004 This paper is part of the Center for the Study of Energy Markets (CSEM) Working Paper Series. CSEM is a program of the University of California Energy Institute

California at Berkeley. University of

245

Optimal Real-time Pricing Algorithm Based on Utility Maximization for Smart Grid  

E-Print Network [OSTI]

tool to develop efficient demand side management strategies, we propose a novel real-time pricing the need to develop new methods for demand side management (DSM). There is a wide range of DSM techniques consumption occurs in buildings [2]. In addition, the arising of new types of demand such as plug-in hybrid

Mohsenian-Rad, Hamed

246

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

247

1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response  

E-Print Network [OSTI]

, real-time price-based demand response management, residential appli- ances, robust optimization1822 IEEE TRANSACTIONS ON SMART GRID, VOL. 3, NO. 4, DECEMBER 2012 Real-Time Price-Based Demand Response Management for Residential Appliances via Stochastic Optimization and Robust Optimization Zhi Chen

Fu, Yong

248

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

SciTech Connect (OSTI)

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

Reeder, Mark

2006-07-15T23:59:59.000Z

249

Demand and Price Volatility: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2011-01-01T23:59:59.000Z

250

Demand and Price Uncertainty: Rational Habits in International Gasoline Demand  

E-Print Network [OSTI]

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

Scott, K. Rebecca

2013-01-01T23:59:59.000Z

251

Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices  

E-Print Network [OSTI]

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

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

2007-01-01T23:59:59.000Z

252

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network [OSTI]

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

Hopelain, D.G.

2011-01-01T23:59:59.000Z

253

Revisiting the Income Effect: Gasoline Prices and Grocery Purchases  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

254

Oil consumption, pollutant emission, oil proce volatility and economic activities in selected Asian Developing Economies.  

E-Print Network [OSTI]

??It is now well established in the literature that oil consumption, oil price shocks, and oil price volatility may impact the economic activities negatively. Studies… (more)

Rafiq, Shuddhasattwa

2009-01-01T23:59:59.000Z

255

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

E-Print Network [OSTI]

as a function of crude oil prices with and without the FPSP.NYMEX front-month crude oil price that is generally referrederence between the price of crude oil and the target price.

Borenstein, Severin

2008-01-01T23:59:59.000Z

256

Beyond the Price Effect in Time-of-Use Programs: Results from a Municipal Utility Pilot, 2007-2008  

E-Print Network [OSTI]

Alexander, Barbara. 2007. Smart Meters, Real Time Pricing,http://www.pulp.tc/Smart_Meters__Real_Time.pdf. Oak Ridge,are scheduled to receive “smart meters” in the coming years.

Lutzenhiser, Susan

2010-01-01T23:59:59.000Z

257

THE SIMPLE ECONOMICS OF COMMODITY PRICE SPECULATION  

E-Print Network [OSTI]

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

Rothman, Daniel

258

Study Guide 2012 for Full-Time Students Master of Oil and Gas Engineering  

E-Print Network [OSTI]

Study Guide 2012 for Full-Time Students Master of Oil and Gas Engineering Graduate Diploma in Oil Oil & Gas Economics PETR8503 Reservoir Engineering Possible Options (example only) PETR8510 Petroleum freedom to choose units from the available options listed in the Master of Oil and Gas Engineering Table

Tobar, Michael

259

Study Guide 2010 for Full-Time Students Master of Oil and Gas Engineering  

E-Print Network [OSTI]

Study Guide 2010 for Full-Time Students Master of Oil and Gas Engineering Graduate Diploma in Oil Oil & Gas Economics PETR8503 Reservoir Engineering Possible Options (example only) CIVL4130 Offshore freedom to choose units from the available options listed in the Master of Oil and Gas Engineering Table

Tobar, Michael

260

,"U.S. Residual Fuel Oil Prices by Sales Type"  

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 <InformationMonthly","2/2015"Monthly","2/2015","1/15/1993"Prices

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


261

AEP Ohio gridSMART Demonstration Project Real-Time Pricing Demonstration Analysis  

SciTech Connect (OSTI)

This report contributes initial findings from an analysis of significant aspects of the gridSMART® Real-Time Pricing (RTP) – Double Auction demonstration project. Over the course of four years, Pacific Northwest National Laboratory (PNNL) worked with American Electric Power (AEP), Ohio and Battelle Memorial Institute to design, build, and operate an innovative system to engage residential consumers and their end-use resources in a participatory approach to electric system operations, an incentive-based approach that has the promise of providing greater efficiency under normal operating conditions and greater flexibility to react under situations of system stress. The material contained in this report supplements the findings documented by AEP Ohio in the main body of the gridSMART report. It delves into three main areas: impacts on system operations, impacts on households, and observations about the sensitivity of load to price changes.

Widergren, Steven E.; Subbarao, Krishnappa; Fuller, Jason C.; Chassin, David P.; Somani, Abhishek; Marinovici, Maria C.; Hammerstrom, Janelle L.

2014-02-01T23:59:59.000Z

262

Thursday, January 27, 2005 Register @ Times  

E-Print Network [OSTI]

Editorial Viewer Reviews Articles Columns BUSINESS Oman Economy Tenders Oil Prices Stock Prices Currency

Gosselin, Frédéric

263

Killing Two Birds with One Stone: Can Real-Time Pricing Support Retail Competition and Demand Response?  

E-Print Network [OSTI]

other states are indexed to the PJM real-time energy market.Pricing New Jersey Maryland PJM region* NYISO region ISO-NEpenetration data for the PJM region as a whole in addition

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

2006-01-01T23:59:59.000Z

264

Modeling of Energy Production Decisions: An Alaska Oil Case Study  

E-Print Network [OSTI]

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

Leighty, Wayne

2008-01-01T23:59:59.000Z

265

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

266

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

267

Analysis of oil-pipeline distribution of multiple products subject to delivery time-windows  

E-Print Network [OSTI]

This dissertation defines the operational problems of, and develops solution methodologies for, a distribution of multiple products into oil pipeline subject to delivery time-windows constraints. A multiple-product oil pipeline is a pipeline system...

Jittamai, Phongchai

2006-04-12T23:59:59.000Z

268

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

SciTech Connect (OSTI)

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.

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

2006-04-25T23:59:59.000Z

269

Utility spot pricing study : Wisconsin  

E-Print Network [OSTI]

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 ...

Caramanis, Michael C.

1982-01-01T23:59:59.000Z

270

No-Arbitrage Pricing for Dividend-Paying Securities in Discrete-Time Markets with Transaction Costs  

E-Print Network [OSTI]

We prove a version of First Fundamental Theorem of Asset Pricing under transaction costs for discrete-time markets with dividend-paying securities. Specifically, we show that the no-arbitrage condition under the efficient friction assumption is equivalent to the existence of a risk-neutral measure. We derive dual representations for the superhedging ask and subhedging bid price processes of a derivative contract. Our results are illustrated with a vanilla credit default swap contract.

Bielecki, Tomasz R; Rodriguez, Rodrigo

2012-01-01T23:59:59.000Z

271

World Oil: Market or Mayhem?  

E-Print Network [OSTI]

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

Smith, James L.

2008-01-01T23:59:59.000Z

272

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

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.

NONE

1999-11-01T23:59:59.000Z

273

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

E-Print Network [OSTI]

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

Davis, Lucas; Muehlegger, Erich

2009-01-01T23:59:59.000Z

274

The Impact of Rising Food Prices on Household Welfare in India  

E-Print Network [OSTI]

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

de Janvry, Alain; Sadoulet, Eliisabeth

2009-01-01T23:59:59.000Z

275

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network [OSTI]

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

Hopelain, D.G.

2011-01-01T23:59:59.000Z

276

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

E-Print Network [OSTI]

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

277

Prices and Price Setting.  

E-Print Network [OSTI]

??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)

R.P. Faber (Riemer)

2010-01-01T23:59:59.000Z

278

Crude Existence: The Politics of Oil in Northern Angola  

E-Print Network [OSTI]

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

Reed, Kristin

2009-01-01T23:59:59.000Z

279

Dynamic analysis in productivity, oil shock, and recession  

E-Print Network [OSTI]

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

Katayama, Munechika

2008-01-01T23:59:59.000Z

280

A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations  

E-Print Network [OSTI]

A Real-Time Decision Support System for High Cost Oil-Well Drilling Operations Odd Erik Gundersen In this paper we present DrillEdge - a commercial and award winning software system that monitors oil-well drilling operations in order to reduce non-productive time (NPT). DrillEdge utilizes case-based reasoning

Aamodt, Agnar

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


281

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

282

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 CAdministration (EIA)

283

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 CAdministration (EIA)heating

284

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 CAdministration

285

World Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: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,,781Title: Telephone:short version)ec 1827 Table 7.2c43

286

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

287

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

288

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

289

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View 1994

290

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View

291

Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines About U.S.30Natural Gas Glossary529 633 622 56623 4623 42Year Jan Feb Mar 2014 View1997

292

Price controls and international petroleum product prices  

SciTech Connect (OSTI)

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.

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

1980-02-01T23:59:59.000Z

293

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

SciTech Connect (OSTI)

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.

NONE

1999-03-01T23:59:59.000Z

294

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

E-Print Network [OSTI]

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

Ahmad, Sajjad

295

Oil  

E-Print Network [OSTI]

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

unknown authors

296

The Role of Inventories and Speculative Trading in the Global Market for Crude Oil  

E-Print Network [OSTI]

We develop a structural model of the global market for crude oil that for the first time explicitly allows for shocks to the speculative demand for oil as well as shocks to the flow demand and flow supply. The forward-looking element of the real price of oil is identified with the help of data on oil inventories. The model estimates rule out explanations of the 2003-08 oil price surge based on unexpectedly diminishing oil supplies and based on speculative trading. Instead, we find that this surge was caused by fluctuations in the flow demand for oil driven by the global business cycle. There is evidence, however, that speculative demand shifts played an important role during earlier oil price shock episodes including 1979, 1986, and 1990. We also show that, even after accounting for the role of inventories in smoothing oil consumption, our estimate of the short-run price elasticity of oil demand is much higher than traditional estimates from dynamic models that do not account for price endogeneity. We conclude that additional regulation of oil markets would not have prevented the 2003-08 oil price surge.

Lutz Kilian; Dan Murphy

2010-01-01T23:59:59.000Z

297

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network [OSTI]

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

Hopelain, D.G.

2011-01-01T23:59:59.000Z

298

China's Global Oil Strategy  

E-Print Network [OSTI]

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

Thomas, Bryan G

2009-01-01T23:59:59.000Z

299

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

E-Print Network [OSTI]

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 buying—buyers ...

Khan, Mozaffar Nayim

300

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

E-Print Network [OSTI]

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

Borenstein, Severin

2007-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


301

Housing Price Dynamics in Time and Space: Predictability, Liquidity and Investor Returns  

E-Print Network [OSTI]

P. , Gordon, T. M. , & Quigley, J. M. (1999). The valuationEnglund, P. , Hwang M. , & Quigley, J. M. (2002) HedgingEconomics, 8 Quan, D. C. , & Quigley, J. M. (1991). Price

Hwang, Min; Quigley, John M.

2010-01-01T23:59:59.000Z

302

COMPARING ALASKA'S OIL PRODUCTION TAXES: INCENTIVES AND ASSUMPTIONS1  

E-Print Network [OSTI]

oil prices, production rates, and costs. He noted that comparative revenues are highly sensitive to future costs and oil prices. Oil prices are notoriously difficult to forecast. Future North Slope oil prices, production, and costs that support their arguments. Given the inherent uncertainty about oil

Pantaleone, Jim

303

CONSISTENT FUNCTIONAL PCA FOR FINANCIAL TIME-SERIES Sebastian Jaimungal  

E-Print Network [OSTI]

of Figure 1 we present a time-series resulting from the NYMEX light sweet crude oil futures price data set sweet crude oil futures curves and demonstrate that it contains significant advan- tages over FPCA as opposed to a modification of the usual PCA is quite simple: futures price data on a given day

Jaimungal, Sebastian

304

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

SciTech Connect (OSTI)

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

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

2005-08-01T23:59:59.000Z

305

5 World Oil Trends WORLD OIL TRENDS  

E-Print Network [OSTI]

5 World Oil Trends Chapter 1 WORLD OIL TRENDS INTRODUCTION In considering the outlook for California's petroleum supplies, it is important to give attention to expecta- tions of what the world oil market. Will world oil demand increase and, if so, by how much? How will world oil prices be affected

306

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

E-Print Network [OSTI]

, 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

Paris-Sud XI, Université de

307

Leverage vs. Feedback: Which Effect Drives the Oil Market? Sofiane Aboura  

E-Print Network [OSTI]

on the WTI crude oil spot price. An increase in the volatility subsequent to an increase in the oil price (i rising oil prices. However, this effect is amplified by an increase in the oil price subsequent-lag relation between the oil price and its volatility is determinant for any type of trading strategy based

Paris-Sud XI, Université de

308

The Impact of Market Clearing Time and Price Signal Delay on the Stability of Electric Power Markets  

SciTech Connect (OSTI)

We generalize a model, proposed by Alvarado, of the electric power market by including the effects of control and communication. To simulate realistic markets, our model issues control signals only at given times and those signals are delayed during transmission. These two effects transform Alvarado's continuous system into a hybrid system, with consequential effects. The stability analysis of the new system reveals two important properties. First, there is an upper limit on the market clearing time and the delay of the price signal beyond which the system becomes unstable. Second, there is a counter-intuitive relationship between the market clearing time and price signal delay: when the market clearing time is relatively long, delaying the price signal can improve the market's stability while reducing the communication delay can destabilize the market. This counter-intuitive effect shows that the full impact of information technology on power markets can be significant and difficult to anticipate. Therefore, as markets are designed and regulated, careful attention should be paid to the effects of information technology on the market's dynamic behavior.

Nutaro, James J [ORNL; Protopopescu, Vladimir A [ORNL

2009-01-01T23:59:59.000Z

309

FINANCIAL TIMES FRIDAY FEBRUARY 18 2011 9 oaring commodities prices once  

E-Print Network [OSTI]

peaks. Maize is an astounding $290 per tonne, and oil is back above $100 a barrel. Soaring food step to counter these problems would be to end the US Federal Reserve's policy of quantitative easing. This might seem peripheral, but the Fed is pouring oil on the commodity fire, ignoring commodity and asset

Qian, Ning

310

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

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 CostsLiquidsYear JanYear Jan FebNaturalWorking Group1Are

311

Discrete-Time Pricing and Optimal Exercise of American Perpetual Warrants in the Geometric Random Walk Model  

SciTech Connect (OSTI)

An American option (or, warrant) is the right, but not the obligation, to purchase or sell an underlying equity at any time up to a predetermined expiration date for a predetermined amount. A perpetual American option differs from a plain American option in that it does not expire. In this study, we solve the optimal stopping problem of a perpetual American option (both call and put) in discrete time using linear programming duality. Under the assumption that the underlying stock price follows a discrete time and discrete state Markov process, namely a geometric random walk, we formulate the pricing problem as an infinite dimensional linear programming (LP) problem using the excessive-majorant property of the value function. This formulation allows us to solve complementary slackness conditions in closed-form, revealing an optimal stopping strategy which highlights the set of stock-prices where the option should be exercised. The analysis for the call option reveals that such a critical value exists only in some cases, depending on a combination of state-transition probabilities and the economic discount factor (i.e., the prevailing interest rate) whereas it ceases to be an issue for the put.

Vanderbei, Robert J., E-mail: rvdb@princeton.edu [Princeton University, Department of Operations Research and Financial Engineering (United States); P Latin-Small-Letter-Dotless-I nar, Mustafa C., E-mail: mustafap@bilkent.edu.tr [Bilkent University, Department of Industrial Engineering (Turkey); Bozkaya, Efe B. [Sabanc Latin-Small-Letter-Dotless-I University, Faculty of Administrative Sciences (Turkey)] [Sabanc Latin-Small-Letter-Dotless-I University, Faculty of Administrative Sciences (Turkey)

2013-02-15T23:59:59.000Z

312

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

E-Print Network [OSTI]

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

313

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

E-Print Network [OSTI]

­ unbridled population growth, oil price fluctuations, importation policies, water availability and political market, hunger, undernourishment in Africa, food productivity, population growth, oil price, importation1 Causes, Magnitude and Consequences of Price Variability in Agricultural Commodity Market

314

Evidence of a Shift in the Short-Run Price Elasticity of Gasoline Demand  

E-Print Network [OSTI]

demand shocks. Since gasoline demand and oil price areto gasoline demand shocks. In Venezuela, a strike by oildemand is likely correlated with the prices of other refinery outputs via the price of oil.

Hughes, Jonathan; Knittel, Christopher R; Sperling, Dan

2007-01-01T23:59:59.000Z

315

Real-time Pricing Leading to Optimal Operation under Distributed Decision Makings  

E-Print Network [OSTI]

such as renewable, micro-combined heat and power systems as well as energy storage systems such as batteries pricing strategy is heuristic, but we show that the resulting closed-loop system is stable, if the step problem, fuel supply security is- sues and nuclear power safety concerns encourage research

Hespanha, JoĂŁo Pedro

316

Natural gas prices: Rhyme or reason  

SciTech Connect (OSTI)

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.

Tucker, L.L.

1995-12-31T23:59:59.000Z

317

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

E-Print Network [OSTI]

high-quality yellow birch inventory. SOFTWOOD SAWTIMBER: Softwoods are predominately used in structural of fossil fuels,particularly No.2fuel oil. (The price of firewood rises as fuel oil prices in

318

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

319

The impact of fuel price volatility on transportation mode choice  

E-Print Network [OSTI]

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 ...

Kim, Eun Hie

2009-01-01T23:59:59.000Z

320

U.S. diesel fuel price decreases for first time in six weeks  

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 continuedieseldiesel

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


321

U.S. diesel fuel price decreases for first time in six weeks  

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

322

U.S. diesel fuel price decreases for first time in six weeks  

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 pricediesel fuel prices

323

U.S. diesel fuel price increases for first time in 6 weeks  

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 pricedieseldiesel fuel price

324

U.S. gasoline price increases for first time since September (long version)  

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 priceNovember 3, 2014,

325

U.S. gasoline price increases for the first time since September (short version)  

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 priceNovember 3,

326

A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based on Continuous Time Lattices  

E-Print Network [OSTI]

A Numerical Method for Pricing Electricity Derivatives for Jump-Diffusion Processes Based.tompaidis@mccombs.utexas.edu Corresponding author. Tel. 512-4715252, Fax 512-4710587. #12;A Numerical Method for Pricing Electricity method for pricing derivatives on electricity prices. The method is based on approximating the generator

Albanese, Claudio

327

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

E-Print Network [OSTI]

increases in the price of crude oil during the last half ofdollar-denominated price of crude oil increased about 50%.month contract) price per gallon of crude oil and gasoline

Borenstein, Severin

2008-01-01T23:59:59.000Z

328

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

E-Print Network [OSTI]

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

Delucchi, Mark; Murphy, James

2008-01-01T23:59:59.000Z

329

Drunk On Oil: Russian Foreign Policy 2000-2007  

E-Print Network [OSTI]

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

Brugato, Thomas

2008-01-01T23:59:59.000Z

330

International Oil Supplies and Demands  

SciTech Connect (OSTI)

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

Not Available

1991-09-01T23:59:59.000Z

331

International Oil Supplies and Demands  

SciTech Connect (OSTI)

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

Not Available

1992-04-01T23:59:59.000Z

332

U.S. diesel prices increase for the first time in 6 weeks  

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 fueldieselU.S. diesel prices1,

333

U.S. gasoline price decrease for first time in seven weeks (short version)  

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 fueldieselU.S.3,gasoline price

334

Gasoline prices decrease nationally for first time in 4 weeks (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(long24,5,23,Gasoline prices

335

How Increased Crude Oil Demand by China and India Affects the International Market  

E-Print Network [OSTI]

the world crude oil market. More specifically, we study the implications for pricing, OPEC production of the Crude Oil Market The global crude oil market can be analysed by considering how quantity and price crude oil prices in the world move together (the price differences are due to different oil quality

336

Reflecting on mainstreaming through environmental appraisal in times of financial crisis — From ‘greening’ to ‘pricing’?  

SciTech Connect (OSTI)

The issue of mainstreaming has witnessed a revival over the last few years, not least because the latest financial crisis has triggered a renewed enthusiasm and a remarkable comeback amongst policy-making and environmental appraisal (EA) communities. Traditionally, environmental mainstreaming is linked to ideas of (environmental) integration and to the ‘greening’ of public policies. Yet, more recent mainstreaming efforts are building on the idea that the achievement of economic growth and of social well-being is not only dependent upon the protection of the environment, but on the fact that the environment should be valued as a source of goods and a provider of services, as well. In this context and despite the many shortcomings that EA has experienced as a mainstreaming tool over the last two decades, calls for EA to engage with ecosystem services and incorporate pricing valuations in its approach to mainstreaming are emerging, raising questions about the role and purpose of EA as an environmental mainstreaming tool. This paper aims to reflect on the role of EA as a mainstreaming tool, in terms of the extent to which it is mainstreaming the environment into policies for sustainable development and changing ‘the mainstream’ by breaking down the false dichotomy of environment and (economic) development. If mainstreaming through EA was to incorporate both greening and pricing logics, could EA be more effective in reframing the environment and development as correlated variables rather than competing variables? -- Highlights: ? Mainstreaming is witnessing a revival over the last few years and a comeback amongst environmental appraisal communities. ? Mainstreaming efforts through environmental appraisal have failed to challenge the deeply rooted belief in economic growth. ? Recent mainstreaming efforts are incorporated in “green deals” following ecological modernisation discourses. ? Environmental appraisal is urged to embrace ecosystem service approaches prompting a rethink of its advocacy role and purpose.

Gazzola, Paola, E-mail: Paola.Gazzola@ncl.ac.uk

2013-07-15T23:59:59.000Z

337

Oil prices spike to over barreland price  

E-Print Network [OSTI]

Biomass Grid Waste-to- Energy Landfill Gas LEGEND Solar EDIN Energy Development in Island Nations EDINWater and Power Authority (WAPA) signs waste-to-energy (WTE) power purchase agreement (PPA) WAPA signs PPA for 7 with light-emitting diodes (LEDs)Renewable Energy Energy E ciency Grid 2.39 2.44 2.26 2.18 1.94 0.97 #12;

338

The Distributional and Environmental Effects of Time-Varying Prices in Competitive Electricity Markets  

E-Print Network [OSTI]

to rates that vary by time of use. The results are robust toresults with ?at rate variation by month and by time of use

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

339

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

E-Print Network [OSTI]

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

2005-01-01T23:59:59.000Z

340

Fairness and dynamic pricing: comments  

SciTech Connect (OSTI)

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)

Hogan, William W.

2010-07-15T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


341

www.myresources.com.au OIL & GAS BULLETIN VOL. 15, NO. 11 PAGE 9 Safety first: Oil rigs off the north west shelf will be studied for  

E-Print Network [OSTI]

www.myresources.com.au OIL & GAS BULLETIN VOL. 15, NO. 11 PAGE 9 NEWS Safety first: Oil rigs off that as times and trends change, tight gas and shale gas is being more and more considered as a potentially prices rise, and a shift from coal to gas energy sources is experienced, tight gas and shale gas is now

342

Price forecasting for notebook computers  

E-Print Network [OSTI]

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...

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

343

Incentive schemes for Internet congestion management: Raffles versus time-of-day pricing  

E-Print Network [OSTI]

The Internet is plagued with congestion problems of growing severity which are worst at peak periods. In this paper, we compare two schemes that incentivize users to shift part of their usage from the peak-time to the ...

Loiseau, Patrick

344

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

E-Print Network [OSTI]

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

345

Essays on Price Dynamics  

E-Print Network [OSTI]

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

346

Demand for gasoline is more price-inelastic than commonly thought  

E-Print Network [OSTI]

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

Havranek, Tomas; Irsova, Zuzana; Janda, Karel

2011-01-01T23:59:59.000Z

347

e n e r g y Unconventional Oil Production  

E-Print Network [OSTI]

Highly variable oil prices and increasing world demand for oil have led producers to look for alternative sources of transportation fuel. Two popular alternatives are oil sands (aka tar sands) and oil shale. However, obtaining usable oil from oil sands or oil shale is more capital-intensive and more expensive than obtaining oil from conventional reserves. At what price of oil do these alternatives become cost-effective? Oil Sands Oil sands are a mixture of sand, water, clay and heavy, viscous oil called bitumen. The largest known deposits of oil sands are in Alberta, Canada, and the Orinoco Oil

Stuck In A Rock; A Hard Place; M. Engemann; Michael T. Owyang

348

International Oil Supplies and Demands. Volume 1  

SciTech Connect (OSTI)

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

Not Available

1991-09-01T23:59:59.000Z

349

International Oil Supplies and Demands. Volume 2  

SciTech Connect (OSTI)

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

Not Available

1992-04-01T23:59:59.000Z

350

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

SciTech Connect (OSTI)

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.

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

1981-03-01T23:59:59.000Z

351

Convergence Speed of GARCH Option Price to Diffusion Option Price  

E-Print Network [OSTI]

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

Chaudhuri, Sanjay

352

Milk Pricing  

E-Print Network [OSTI]

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....

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

2001-09-10T23:59:59.000Z

353

Cheese Prices  

E-Print Network [OSTI]

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...

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

2003-08-25T23:59:59.000Z

354

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 ...

355

FEDERAL RESERVE BANK OF DALLASWhat Drives Natural Gas Prices?  

E-Print Network [OSTI]

Abstract: For many years, fuel switching between natural gas and residual fuel oil kept natural gas prices closely aligned with those for crude oil. More recently, however, the number of U.S. facilities able to switch between natural gas and residual fuel oil has declined, and over the past five years, U.S. natural gas prices have been on an upward trend with crude oil prices but with considerable independent movement. Natural gas market analysts generally emphasize weather and inventories as drivers of natural gas prices. Using an error-correction model, we show that when these and other additional factors are taken into account, movements in crude oil prices have a prominent role in shaping natural gas prices. Our findings imply a continuum of prices at which natural gas and petroleum products are substitutes.

Stephen P. A. Brown; Mine K. Yücel; Stephen P. A. Brown; Mine K. Yücel

2007-01-01T23:59:59.000Z

356

Oil and macroeconomy in China.  

E-Print Network [OSTI]

??This paper uses two different approaches to investigate the relationship between the oil price shock and the macroeconomy in China. The first approach is the… (more)

Hu, Lin

2008-01-01T23:59:59.000Z

357

Class Pricing  

E-Print Network [OSTI]

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 ...

Wernerfelt, Birger

2008-01-15T23:59:59.000Z

358

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

E-Print Network [OSTI]

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

Garfunkel, Eric

359

Modeling of Energy Production Decisions: An Alaska Oil Case Study  

E-Print Network [OSTI]

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

Leighty, Wayne

2008-01-01T23:59:59.000Z

360

Some Simple Analytics of Peak-Load Pricing  

E-Print Network [OSTI]

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

Bergstrom, Ted; Mackie-Mason, Jeffrey K.

1991-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


361

Some Simple Analytics of Peak-Load Pricing  

E-Print Network [OSTI]

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

Bergstrom, Ted; MacKie-Mason, Jeffrey

1991-01-01T23:59:59.000Z

362

An overview of alternative fossil fuel price and carbon regulation scenarios  

SciTech Connect (OSTI)

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

Wiser, Ryan; Bolinger, Mark

2004-10-01T23:59:59.000Z

363

Table 1. Crude Oil Prices  

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

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

364

Table 1. Crude Oil Prices  

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

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

365

Table 1. Crude Oil Prices  

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

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

366

Table 1. Crude Oil Prices  

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

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

367

Table 1. Crude Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

368

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 B CAdministrationheating oilheating

369

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 B CAdministrationheating

370

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 B CAdministrationheatingheating

371

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 B

372

Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

373

Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

374

Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

375

Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

376

Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet)5.257 272Production3 January331996

377

Forecasting the Price of Oil  

E-Print Network [OSTI]

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

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

2011-01-01T23:59:59.000Z

378

U. S. Military Expenditures to Protect the Use of Persian Gulf Oil for Motor Vehicles: Report #15 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, based on 1990-1991 Data  

E-Print Network [OSTI]

55 F IGURE 15-1. M ONTHLY CRUDE OIL PRICES 1990-1991 ($/and our interpretation of crude oil price histories (http://F IGURE 15-1. M ONTHLY CRUDE OIL PRICES 1990-1991 ($/barrel)

Delucchi, Mark; Murphy, James

2006-01-01T23:59:59.000Z

379

Characterizing the Response of Commercial and Industrial Facilities to Dynamic Pricing Signals from the Utility  

E-Print Network [OSTI]

pricing as pricing information lead-time changes. Thoughto receive pricing information with large lead-times so thatreceive pricing information at short lead times (e.g. , one

Mathieu, Johanna L.

2010-01-01T23:59:59.000Z

380

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network [OSTI]

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

Hopelain, D.G.

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


381

Dynamic Asphaltene-Resin Exchange at the Oil/Water Interface: Time-Dependent W/O Emulsion Stability for Asphaltene/Resin  

E-Print Network [OSTI]

Dynamic Asphaltene-Resin Exchange at the Oil/Water Interface: Time-Dependent W/O Emulsion Stability for Asphaltene/Resin Model Oils Xiaoli Yang, Vincent J. Verruto, and Peter K. Kilpatrick* Department of Chemical was used to determine the time-dependent stability of water-in- oil emulsions in which asphaltenes

Kilpatrick, Peter K.

382

The Multi-Stage Investment Timing Game in Offshore Petroleum Production: Preliminary results from an econometric model  

E-Print Network [OSTI]

cost discretized real oil price constant (3.3E9) (5.5E5) (conditions such as the oil price that vary stochasticallyconditions such as the oil price might change, or because

Lin, C.-Y. Cynthia

2007-01-01T23:59:59.000Z

383

Trends in heavy oil production and refining in California  

SciTech Connect (OSTI)

This report is one of a series of publications assessing the feasibility of increasing domestic heavy oil production and is part of a study being conducted for the US Department of Energy. This report summarizes trends in oil production and refining in Canada. Heavy oil (10{degrees} to 20{degrees} API gravity) production in California has increased from 20% of the state`s total oil production in the early 1940s to 70% in the late 1980s. In each of the three principal petroleum producing districts (Los Angeles Basin, Coastal Basin, and San Joaquin Valley) oil production has peaked then declined at different times throughout the past 30 years. Thermal production of heavy oil has contributed to making California the largest producer of oil by enhanced oil recovery processes in spite of low oil prices for heavy oil and stringent environmental regulation. Opening of Naval Petroleum Reserve No. 1, Elk Hills (CA) field in 1976, brought about a major new source of light oil at a time when light oil production had greatly declined. Although California is a major petroleum-consuming state, in 1989 the state used 13.3 billion gallons of gasoline or 11.5% of US demand but it contributed substantially to the Nation`s energy production and refining capability. California is the recipient and refines most of Alaska`s 1.7 million barrel per day oil production. With California production, Alaskan oil, and imports brought into California for refining, California has an excess of oil and refined products and is a net exporter to other states. The local surplus of oil inhibits exploitation of California heavy oil resources even though the heavy oil resources exist. Transportation, refining, and competition in the market limit full development of California heavy oil resources.

Olsen, D.K.; Ramzel, E.B.; Pendergrass, R.A. II

1992-07-01T23:59:59.000Z

384

Trends in heavy oil production and refining in California  

SciTech Connect (OSTI)

This report is one of a series of publications assessing the feasibility of increasing domestic heavy oil production and is part of a study being conducted for the US Department of Energy. This report summarizes trends in oil production and refining in Canada. Heavy oil (10{degrees} to 20{degrees} API gravity) production in California has increased from 20% of the state's total oil production in the early 1940s to 70% in the late 1980s. In each of the three principal petroleum producing districts (Los Angeles Basin, Coastal Basin, and San Joaquin Valley) oil production has peaked then declined at different times throughout the past 30 years. Thermal production of heavy oil has contributed to making California the largest producer of oil by enhanced oil recovery processes in spite of low oil prices for heavy oil and stringent environmental regulation. Opening of Naval Petroleum Reserve No. 1, Elk Hills (CA) field in 1976, brought about a major new source of light oil at a time when light oil production had greatly declined. Although California is a major petroleum-consuming state, in 1989 the state used 13.3 billion gallons of gasoline or 11.5% of US demand but it contributed substantially to the Nation's energy production and refining capability. California is the recipient and refines most of Alaska's 1.7 million barrel per day oil production. With California production, Alaskan oil, and imports brought into California for refining, California has an excess of oil and refined products and is a net exporter to other states. The local surplus of oil inhibits exploitation of California heavy oil resources even though the heavy oil resources exist. Transportation, refining, and competition in the market limit full development of California heavy oil resources.

Olsen, D.K.; Ramzel, E.B.; Pendergrass, R.A. II.

1992-07-01T23:59:59.000Z

385

State of heavy oil production and refining in California  

SciTech Connect (OSTI)

California is unique in the United States because it has the largest heavy oil (10{degrees} to 20{degrees}API gravity) resource, estimated to be in excess of 40 billion barrels. Of the current 941,543 barrels/day of oil produced in California (14% of the U.S. total), 70% or 625,312 barrels/day is heavy oil. Heavy oil constituted only 20% of California`s oil production in the early 1940s, but development of thermal oil production technology in the 1960s allowed the heavy industry to grow and prosper to the point where by the mid-1980s, heavy oil constituted 70% of the state`s oil production. Similar to the rest of the United States, light oil production in the Los Angeles Basin, Coastal Region, and San Joaquin Valley peaked and then declined at different times throughout the past 30 years. Unlike other states, California developed a heavy oil industry that replaced declining light oil production and increased the states total oil production, despite low heavy oil prices, stringent environmental regulations and long and costly delays in developing known oil resources. California`s deep conversion refineries process the nation`s highest sulfur, lowest API gravity crude to make the cleanest transportation fuels available. More efficient vehicles burning cleaner reformulated fuels have significantly reduced the level of ozone precursors (the main contributor to California`s air pollution) and have improved air quality over the last 20 years. In a state where major oil companies dominate, the infrastructure is highly dependent on the 60% of ANS production being refined in California, and California`s own oil production. When this oil is combined with the small volume of imported crude, a local surplus of marketed oil exists that inhibits exploitation of California`s heavy oil resources. As ANS production declines, or if the export restrictions on ANS sales are lifted, a window of opportunity develops for increased heavy oil production.

Olsen, D.K.; Ramzel, E.B. [BDM-Oklahoma, Inc., Bartlesville, OK (United States)

1995-12-31T23:59:59.000Z

386

Essays on Price Dynamics  

E-Print Network [OSTI]

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

387

Price determination for breeding bulls  

E-Print Network [OSTI]

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...

Namken, Jerry Carl

1987-01-01T23:59:59.000Z

388

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

E-Print Network [OSTI]

??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)

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

389

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

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

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-01-01T23:59:59.000Z

390

TIME-LAPSE MODELING AND INVERSION OF CO2 SATURATION FOR SEQUESTRATION AND ENHANCED OIL RECOVERY  

SciTech Connect (OSTI)

In the fifth quarter of this DOE NETL project, they have implemented an algorithm that inverts for changes in fluid properties over time using time-lapse seismic anomalies. This algorithm constitutes the second step in the inversion procedure for Phase III of the project. They demonstrate this inversion procedure with a synthetic data example. Additional activities in this reporting period include a trip by the Principal investigator to an International Monitoring Workshop sponsored by the IEA Greenhouse Gas R and D Program in Santa Cruz, California. In the next quarter, they will further process the Sleipner data to prepare it for later inversion, and continue investigating alternative methods for calculating properties of oil/brine/CO{sub 2} systems.

Mark A. Meadows

2005-02-18T23:59:59.000Z

391

Statements on Oil by the Energy Committee at  

E-Print Network [OSTI]

, the same percentage increase in the crude oil price will be less problematic for Sweden and other European countries because of our tax system (the crude oil's share, c. 25%, in the gasoline price is quite small, it is important that the poorer countries have access to oil at reasonable prices to meet their development goals

Keeling, Stephen L.

392

Oil and the American Way of Life: Don't Ask, Don't Tell  

SciTech Connect (OSTI)

In the coming decades, US consumers will face a series of important decisions about oil. To make effective decisions, consumers must confront some disturbing answers to questions they would rather not ask. These questions include: is the US running out of oil, is the world running out of oil, is OPEC increasing its grip on prices, is the US economy reducing its dependence on energy, and will the competitive market address these issues in a timely fashion? Answers to these questions indicate that the market will not address these issues: the US has already run out of inexpensive sources of oil such that rising prices no longer elicit significant increases in supply. The US experience implies that within a couple of decades, the world oil market will change from increasing supply at low prices to decreasing supply at higher prices. As the world approaches this important turning point, OPEC will strengthen its grip on world oil prices. Contrary to popular belief, the US economy continues to be highly dependent on energy, especially inexpensive sources of energy. Together, these trends threaten to undermine the basic way in which the US economy generates a high standard of living.

Kaufmann, Robert (Boston University) [Boston University

2005-06-01T23:59:59.000Z

393

Volatility in natural gas and oil markets  

E-Print Network [OSTI]

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

Pindyck, Robert S.

2003-01-01T23:59:59.000Z

394

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

SciTech Connect (OSTI)

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

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

2005-02-01T23:59:59.000Z

395

Classification of Commodity Price Forecast With Random Forests and Bayesian  

E-Print Network [OSTI]

or natural gas can impact everything from the21 critical business decisions made within nations on the sentiment of price39 forecasts and reports for commodities such as gold, natural gas or most commonly oil economy. Commodity prices are key economical20 drivers in the market. Raw products such as oil, gold

de Freitas, Nando

396

Exogenous Oil Supply Shocks: How Big Are They and How Much Do They Matter for the U.S. Economy?” forthcoming: Review of Economics and Statistics  

E-Print Network [OSTI]

Abstract: Since the oil crises of the 1970s there has been strong interest in the question of how oil production shortfalls caused by wars and other exogenous political events in OPEC countries affect oil prices, U.S. real GDP growth and U.S. CPI inflation. This study focuses on the modern OPEC period since 1973. The results differ from the conventional wisdom along a number of dimensions. First, it is shown that under reasonable assumptions the timing, magnitude and even the sign of exogenous oil supply shocks may differ greatly from current state-of-the-art estimates. Second, the common view that the case for the exogeneity of at least the major oil price shocks is strong is supported by the data for the 1980/81 and 1990/91 oil price shocks, but not for other oil price shocks. Notably, statistical measures of the net oil price increase relative to the recent past do not represent the exogenous component of oil prices. In fact, only a small fraction of the observed oil price increases during crisis periods can be attributed to exogenous oil production disruptions. Third, compared to previous indirect estimates of the effects of exogenous supply disruptions on real GDP growth that treated major oil price increases as exogenous, the direct estimates obtained in this paper suggest a sharp drop after five quarters rather than an immediate and sustained reduction in economic growth for a year. They also suggest a spike in CPI inflation three quarters after the exogenous oil supply shock rather than a sustained increase in inflation, as is sometimes conjectured. Finally, the results of this paper put into perspective the importance of exogenous oil production shortfalls in the Middle East. It is shown that exogenous oil supply shocks made remarkably little difference overall for the evolution of U.S. real GDP growth and CPI inflation since the 1970s, although they did matter for some historical episodes. Key Words: Oil shock; war; counterfactual; oil supply; exogeneity; weak instruments. JEL: E32, C32.

Lutz Kilian

2008-01-01T23:59:59.000Z

397

AN ENGINE OIL LIFE ALGORITHM.  

E-Print Network [OSTI]

??An oil-life algorithm to calculate the remaining percentage of oil life is presented as a means to determine the right time to change the oil… (more)

Bommareddi, Anveshan

2009-01-01T23:59:59.000Z

398

Balancing oil and environment... responsibly.  

SciTech Connect (OSTI)

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

Weimer, Walter C.; Teske, Lisa

2007-01-25T23:59:59.000Z

399

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

E-Print Network [OSTI]

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

Nesterov, Yurii

400

Drunk On Oil: Russian Foreign Policy 2000-2007  

E-Print Network [OSTI]

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

Brugato, Thomas

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


401

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

E-Print Network [OSTI]

and income on energy and oil demand. Energy Journal, 23(1):scenario, with demand and conventional oil endowment set toPrice elasticity of demand for crude oil: estimates for 23

Brandt, Adam R.; Farrell, Alexander E.

2008-01-01T23:59:59.000Z

402

Spot pricing of public utility services  

E-Print Network [OSTI]

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 ...

Bohn, Roger E.

1982-01-01T23:59:59.000Z

403

Determinants of official OPEC crude prices  

SciTech Connect (OSTI)

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.

Verleger, P.K. Jr.

1982-05-01T23:59:59.000Z

404

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

405

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

406

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

407

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

E-Print Network [OSTI]

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

408

Texas Farm Commodity Prices.  

E-Print Network [OSTI]

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...

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

1948-01-01T23:59:59.000Z

409

MTBE, methanol prices rise  

SciTech Connect (OSTI)

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}

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

1995-12-20T23:59:59.000Z

410

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

E-Print Network [OSTI]

. In addition, the delivered price of coal to power plants located in the region will be affected by diesel fuelBiennial Assessment of the Fifth Power Plan Interim Report on Fuel Price Assumptions Summary The Fifth Power Plan includes price forecasts for natural gas, oil, and coal. Natural gas prices have by far

411

Real Option Pricing with Mean-Reverting Investment and Project Value  

E-Print Network [OSTI]

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

Zubelli, Jorge Passamani

412

Field Instruments for Real Time In-Situ Crude Oil Concentration Measurements  

E-Print Network [OSTI]

The Texas Water Resources Institute awarded a Mill Scholarship to M.C. Sterling, Jr in 2002. This project describes five sensors for rapid monitoring of crude oil concentrations in an aquatic system. These measurements are critical for monitoring...

Fuller, C. B.; Bonner, J. S.; Page, C. A.; Arrambide, G.; Sterling Jr., M. C.; Ojo, T.

413

Short-Term Energy Outlook Model Documentation: Petroleum Product Prices Module  

Reports and Publications (EIA)

The petroleum products price module of the Short-Term Energy Outlook (STEO) model is designed to provide U.S. average wholesale and retail price forecasts for motor gasoline, diesel fuel, heating oil, and jet fuel.

2015-01-01T23:59:59.000Z

414

Potential small-scale development of western oil shale  

SciTech Connect (OSTI)

Several studies have been undertaken in an effort to determine ways to enhance development of western oil shale under current market conditions for energy resources. This study includes a review of the commercial potential of western oil shale products and byproducts, a review of retorting processes, an economic evaluation of a small-scale commercial operation, and a description of the environmental requirements of such an operation. Shale oil used as a blend in conventional asphalt appears to have the most potential for entering today's market. Based on present prices for conventional petroleum, other products from oil shale do not appear competitive at this time or will require considerable marketing to establish a position in the marketplace. Other uses for oil shale and spent shale, such as for sulfur sorbtion, power generation, cement, aggregate, and soil stabilization, are limited economically by transportation costs. The three-state area area consisting of Colorado, Utah, and Wyoming seems reasonable for the entry of shale oil-blended asphalt into the commercial market. From a review of retorting technologies and the product characteristics from various retorting processes it was determined that the direct heating Paraho and inclined fluidized-bed processes produce a high proportion of heavy material with a high nitrogen content. The two processes are complementary in that they are each best suited to processing different size ranges of materials. An economic evaluation of a 2000-b/d shale oil facility shows that the operation is potentially viable, if the price obtained for the shale oil residue is in the top range of prices projected for this product. Environmental requirements for building and operating an oil shale processing facility are concerned with permitting, control of emissions and discharges, and monitoring. 62 refs., 6 figs., 10 tabs.

Smith, V.; Renk, R.; Nordin, J.; Chatwin, T.; Harnsberger, M.; Fahy, L.J.; Cha, C.Y.; Smith, E.; Robertson, R.

1989-10-01T23:59:59.000Z

415

Scenario Generation for Price Forecasting in Restructured Wholesale Power Markets  

E-Print Network [OSTI]

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

Tesfatsion, Leigh

416

THE RIMINI PROTOCOL Oil Depletion Protocol  

E-Print Network [OSTI]

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

Keeling, Stephen L.

417

U. S. Military Expenditures to Protect the Use of Persian Gulf Oil for Motor Vehicles: Report #15 in the series: The Annualized Social Cost of Motor-Vehicle Use in the United States, based on 1990-1991 Data  

E-Print Network [OSTI]

Montgomery, Oil Prices, Energy Security, and Import Policy,Of these interests [oil security, regional stability and1992) even implies that oil security is a minor concern. In

Delucchi, Mark; Murphy, James

2006-01-01T23:59:59.000Z

418

Assessment of Summer 1997 motor gasoline price increase  

SciTech Connect (OSTI)

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

NONE

1998-05-01T23:59:59.000Z

419

Volatility and commodity price dynamics  

E-Print Network [OSTI]

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 ...

Pindyck, Robert S.

2001-01-01T23:59:59.000Z

420

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

E-Print Network [OSTI]

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

Sadoulet, Elisabeth

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


421

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

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

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

422

An evaluation of hydrologic, geotechnical, and chemical behavior of processed oil shale solid waste 2; The use of time domain reflectometry (TDR) for monitoring in-situ volumetric water content in processed oil shale  

SciTech Connect (OSTI)

This paper describes the use of time domain reflectometry (TDR) for monitoring volumetric water contents in processed oil shale solid waste. TDR measures soil water content via a correlation between the dielectric constant (K) of the 3 phase (soil-water-air) system and the volumetric water content ({theta}{sub v}). An extensive bench top research program has been conducted to evaluate and verify the use of this technique in processed oil shale solid waste. This study utilizes columns of processed oil shale packed to known densities and varying water contents and compares the columetric water content measured via TDR and the volumetric water content measured through gravimetric determination.

Reeves, T.L.; Elgezawi, S.M. (Wyoming Univ., Laramie, WY (USA). Dept. of Civil Engineering); Kaser, T.G. (GIGO Computer and Electronic, Laramie, WY (US))

1989-01-01T23:59:59.000Z

423

Speculation without Oil Stockpiling as a Signature: A Dynamic Perspective  

E-Print Network [OSTI]

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

Babusiaux, Denis

424

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

E-Print Network [OSTI]

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

Kudoyan, Olga

2012-02-14T23:59:59.000Z

425

IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 29, NO. 1, JANUARY 2014 203 Distribution Locational Marginal Pricing for Optimal  

E-Print Network [OSTI]

(DSO) determines distribution locational marginal prices (DLMPs) by solving the social welfare, distribution locational marginal prices (DLMPs), distribution locational marginal pricing (DLMP), distribution at node . System locational marginal price (LMP) at time period for the node feeding the distribution grid

Oren, Shmuel S.

426

Retrospective Evaluation of Appliance Price Trends  

SciTech Connect (OSTI)

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.

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

2008-07-20T23:59:59.000Z

427

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...

428

Op%mal Scheduling of Combined Heat and Power (CHP) Plants1 under Time-sensi%ve Electricity Prices  

E-Print Network [OSTI]

1 Op%mal Scheduling of Combined Heat and Power (CHP) Plants1 under Time. Combined heat and power genera%on plants are also called co-genera%on plants. #12. #12;Facing the challenge of variability, the power grid is in transi

Grossmann, Ignacio E.

429

Demand growth to continue for oil, resume for gas this year in the U.S.  

SciTech Connect (OSTI)

Demand for petroleum products and natural gas in the US will move up again this year, stimulated by economic growth and falling prices. Economic growth, although slower than it was last year, will nevertheless remain strong. Worldwide petroleum supply will rise, suppressing oil prices. Natural gas prices are also expected to fall in response to the decline in oil prices and competitive pressure from other fuels. The paper discusses the economy, total energy consumption, energy sources, oil supply (including imports, stocks, refining, refining margins and prices), oil demand (motor gasoline, jet fuel, distillate fuel, residual fuel oil, and other petroleum products), natural gas demand, and natural gas supply.

Beck, R.J.

1998-01-26T23:59:59.000Z

430

Effect of Energy Efficiency Standards on Natural Gas Prices  

E-Print Network [OSTI]

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

Carnall, Michael

2012-01-01T23:59:59.000Z

431

The Role of Demand Response in Default Service Pricing  

E-Print Network [OSTI]

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

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

432

Performance Bonds -Other Than Construction (Mar 2002) (a) Definition. As used in this clause, "original subcontract price" means the award price of  

E-Print Network [OSTI]

, "original subcontract price" means the award price of the subcontract. Original subcontract price does not include the price of any options, except those options exercised at the time of subcontract award. (b equal to ______ percent of the original subcontract price. (c) The Seller shall furnish all executed

Pennycook, Steve

433

National Survey of E85 and Gasoline Prices  

SciTech Connect (OSTI)

Study compares the prices of E85 and regular gasoline nationally and regionally over time for one year.

Bergeron, P.

2008-10-01T23:59:59.000Z

434

The long-run evolution of energy prices  

E-Print Network [OSTI]

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

Pindyck, Robert S.

1999-01-01T23:59:59.000Z

435

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

E-Print Network [OSTI]

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

Rao, Nirupama S.

436

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

E-Print Network [OSTI]

W.D. , 1982. Oil Prices, Energy Security, and Import Policy.of these interests [oil security, regional stability andand even implies that oil security is a minor concern. In

Delucchi, Mark; Murphy, James

2008-01-01T23:59:59.000Z

437

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

E-Print Network [OSTI]

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

438

Massive Gulf leak ushers in age of tough oil  

SciTech Connect (OSTI)

A recent public opinion poll released on June 24, 2010, concluded that 63 percent of those surveyed support the idea that reducing emissions and increasing alternative energy are worth pursuing even if that means increased costs. The Energy Information Administration's latest Annual Energy Outlook shows that the current financial crisis has reduced U.S. oil imports from their all time peak of 60 percent and projects a gradually declining percentage through 2035 under the reference case, and even lower if oil prices remain high -- reaching $210 per barrel by 2035 in 2008 dollars.

NONE

2010-08-15T23:59:59.000Z

439

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

E-Print Network [OSTI]

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

2004-01-01T23:59:59.000Z

440

Optimize carbon dioxide sequestration, enhance oil recovery  

E-Print Network [OSTI]

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

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


441

Real Option Pricing with Mean-Reverting Investment and Project Value  

E-Print Network [OSTI]

to the invest in an oil field. Like most commodities, oil prices tend to mean-revert, and as a direct resultReal Option Pricing with Mean-Reverting Investment and Project Value October 1st, 2009 #12;Abstract to invest in a project enjoy a long and dis- tinguished history. The classical work of McDonald and Siegel

Zubelli, Jorge Passamani

442

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

E-Print Network [OSTI]

C-1 Draft Fourth Northwest Conservation and Electric Power Plan, Appendix C APPENDIX C FUEL PRICE FORECASTS BACKGROUND Since the Council's 1991 Power Plan, fuel prices have been following the low forecast. Figure C-1 illustrates this for world oil prices, and similar patterns apply to natural gas. The last

443

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

E-Print Network [OSTI]

into the relationship between gold price and other key influencing variables, such as oil price and global inflationAn overview of global gold market and gold price forecasting Shahriar Shafiee a,n , Erkan Topal b history: Received 6 February 2009 Received in revised form 20 April 2010 Accepted 17 May 2010 Jel

Boisvert, Jeff

444

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

E-Print Network [OSTI]

of market studies indicating that "major Canadian oil companies were going to use price wars, new creditDOCUMENTS DE TRAVAIL - WORKING PAPERS W.P. 06-11 Testing Optimal Punishment Mechanisms under Price under Price Regulation: the Case of the Retail Market for Gasoline By Robert Gagné* , HEC Montréal, CRT

Paris-Sud XI, Université de

445

Application of Time-Lapse Seismic Monitoring for the Control and Optimization of CO2 Enhanced Oil Recovery Operations  

SciTech Connect (OSTI)

This project, 'Application of Time-Lapse Seismic Monitoring for the Control and Optimization of CO{sub 2} Enhanced Oil Recovery Operations', investigated the potential for monitoring CO{sub 2} floods in carbonate reservoirs through the use of standard p-wave seismic data. This primarily involved the use of 4D seismic (time lapse seismic) in an attempt to observe and map the movement of the injected CO{sub 2} through a carbonate reservoir. The differences between certain seismic attributes, such as amplitude, were used for this purpose. This technique has recently been shown to be effective in CO{sub 2} monitoring in Enhanced Oil Recovery (EOR) projects, such as Weyborne. This study was conducted in the Charlton 30/31 field in the northern Michigan Basin, which is a Silurian pinnacle reef that completed its primary production in 1997 and was scheduled for enhanced oil recovery using injected CO{sub 2}. Prior to injection an initial 'Base' 3D survey was obtained over the field and was then processed and interpreted. CO{sub 2} injection within the main portion of the reef was conducted intermittently during 13 months starting in August 2005. During this time, 29,000 tons of CO{sub 2} was injected into the Guelph formation, historically known as the Niagaran Brown formation. By September 2006, the reservoir pressure within the reef had risen to approximately 2000 lbs and oil and water production from the one producing well within the field had increased significantly. The determination of the reservoir's porosity distribution, a critical aspect of reservoir characterization and simulation, proved to be a significant portion of this project. In order to relate the differences observed between the seismic attributes seen on the multiple 3D seismic surveys and the actual location of the CO{sub 2}, a predictive reservoir simulation model was developed based on seismic attributes obtained from the base 3D seismic survey and available well data. This simulation predicted that the CO{sub 2} injected into the reef would remain in the northern portion of the field. Two new wells, the State Charlton 4-30 and the Larsen 3-31, were drilled into the field in 2006 and 2008 respectively and supported this assessment. A second (or 'Monitor') 3D seismic survey was acquired during September 2007 over most of the field and duplicated the first (Base) survey, as much as possible. However, as the simulation and new well data available at that time indicated that the CO{sub 2} was concentrated in the northern portion of the field, the second seismic survey was not acquired over the extreme southern end of the area covered by the original (or Base) 3D survey. Basic processing was performed on the second 3D seismic survey and, finally, 4D processing methods were applied to both the Base and the Monitor surveys. In addition to this 3D data, a shear wave seismic data set was obtained at the same time. Interpretation of the 4D seismic data indicated that a significant amplitude change, not attributable to differences in acquisition or processing, existed at the locations within the reef predicted by the reservoir simulation. The reservoir simulation was based on the porosity distribution obtained from seismic attributes from the Base 3D survey. Using this validated reservoir simulation the location of oil within the reef at the time the Monitor survey was obtained and recommendations made for the drilling of additional EOR wells. The economic impact of this project has been estimated in terms of both enhanced oil recovery and CO{sub 2} sequestration potential. In the northern Michigan Basin alone, the Niagaran reef play is comprised of over 700 Niagaran reefs with reservoirs already depleted by primary production. Potentially there is over 1 billion bbls of oil (original oil in place minus primary recovery) remains in the reefs in Michigan, much of which could be more efficiently mobilized utilizing techniques similar to those employed in this study.

Brian Toelle

2008-11-30T23:59:59.000Z

446

State Heating Oil and Propane Program, 1990--1991 heating season. Final technical report  

SciTech Connect (OSTI)

The following discussion summarizes the survey approach and results of the Department of Public Service`s survey of retail fuel oil and propane prices during the 1990--91 heating season. The semi-monthly phone surveys were conducted in cooperation with the US Department of Energy`s State Fuel Oil and Propane Program, which coordinated surveys of heating fuel prices by 25 eastern and midwest states. This federal/state program serves as a method for fast collection, analysis, and dissemination of information on current residential prices. No other information source meets needs for timely retail price information over the course of the heating season. For the 1990--91 heating season, the Minnesota Department of Public Service (MN/DPS) expanded the scope of its survey effort to include regional price data. Surveys were conducted with 160 retailers, including 59 respondents from the DOE samples, to provide a reasonable sample size for each region. Fuel oil retailers were also asked for updates on their secondary inventory levels.

Not Available

1991-06-06T23:59:59.000Z

447

State Heating Oil and Propane Program, 1990--1991 heating season  

SciTech Connect (OSTI)

The following discussion summarizes the survey approach and results of the Department of Public Service's survey of retail fuel oil and propane prices during the 1990--91 heating season. The semi-monthly phone surveys were conducted in cooperation with the US Department of Energy's State Fuel Oil and Propane Program, which coordinated surveys of heating fuel prices by 25 eastern and midwest states. This federal/state program serves as a method for fast collection, analysis, and dissemination of information on current residential prices. No other information source meets needs for timely retail price information over the course of the heating season. For the 1990--91 heating season, the Minnesota Department of Public Service (MN/DPS) expanded the scope of its survey effort to include regional price data. Surveys were conducted with 160 retailers, including 59 respondents from the DOE samples, to provide a reasonable sample size for each region. Fuel oil retailers were also asked for updates on their secondary inventory levels.

Not Available

1991-06-06T23:59:59.000Z

448

Peak oil: diverging discursive pipelines.  

E-Print Network [OSTI]

??Peak oil is the claimed moment in time when global oil production reaches its maximum rate and henceforth forever declines. It is highly controversial as… (more)

Doctor, Jeff

2012-01-01T23:59:59.000Z

449

Arbitrage free cointegrated models in gas and oil future markets  

E-Print Network [OSTI]

In this article we present a continuous time model for natural gas and crude oil future prices. Its main feature is the possibility to link both energies in the long term and in the short term. For each energy, the future returns are represented as the sum of volatility functions driven by motions. Under the risk neutral probability, the motions of both energies are correlated Brownian motions while under the historical probability, they are cointegrated by a Vectorial Error Correction Model. Our approach is equivalent to defining the market price of risk. This model is free of arbitrage: thus, it can be used for risk management as well for option pricing issues. Calibration on European market data and numerical simulations illustrate well its behavior.

Benmenzer, Grégory; Jérusalem, Céline

2007-01-01T23:59:59.000Z

450

Flexible procurement strategies smooth price spikes  

SciTech Connect (OSTI)

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.

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

2006-12-15T23:59:59.000Z

451

rillEdge is a software system that provides real-time deci-sion support when drilling oil wells. Decisions are sup-  

E-Print Network [OSTI]

are combined to provide best practices for how to handle the current situation. Verdande Technology hasD rillEdge is a software system that provides real-time deci- sion support when drilling oil wells on the surface and downhole when drilling. The real-time analysis identifies symptoms of problems, which

Aamodt, Agnar

452

Cache-Optimal Algorithms for Option Pricing John E. Savage  

E-Print Network [OSTI]

, and the leaves are at expiration times. We use G (n) biop to determine the price of an option at the root node a discrete time model [Kwok 1998; Cox et al. 1979]. The binomial option pricing computation is modeledCache-Optimal Algorithms for Option Pricing John E. Savage Brown University, Providence, Rhode

Savage, John

453

Technique for estimating jet fuel prices from energy futures market  

SciTech Connect (OSTI)

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

Vineyard, T.A.

1988-05-01T23:59:59.000Z

454

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

455

U.S. Virgin Islands Petroleum Price-Spike Preparation  

SciTech Connect (OSTI)

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

Johnson, C.

2012-06-01T23:59:59.000Z

456

Appliance Efficiency Standards and Price Discrimination  

SciTech Connect (OSTI)

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.

Spurlock, Cecily Anna

2013-05-08T23:59:59.000Z

457

On Accurate Trinomial GARCH Option Pricing  

E-Print Network [OSTI]

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

Lyuu, Yuh-Dauh

458

Trends in Utility Green Pricing Programs (2005)  

SciTech Connect (OSTI)

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.

Bird, L.; Brown, E.

2006-10-01T23:59:59.000Z

459

Summary Statistics Table 1. Crude Oil Prices  

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

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

460

Summary Statistics Table 1. Crude Oil Prices  

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

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

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


461

Summary Statistics Table 1. Crude Oil Prices  

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

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

462

Summary Statistics Table 1. Crude Oil Prices  

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

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

463

Summary Statistics Table 1. Crude Oil Prices  

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

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

464

Do financial investors destabilize the oil price?  

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

General Economics, European Central Bank, Kaiserstrasse 29, D-60311 Frankfurt am Mai, Germany; e-mail: marco.lombardi@ecb.europa.eu 3 Department of Financial Economics, Ghent...

465

Do financial investors destabilize the 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 MayAtmospheric Optical Depth7-1D: Vegetation Proposed Newcatalyst phasesDataTranslocationDiurnal Cycle ofDo New Technologies Matter? Do

466

Residential heating oil prices virtually unchanged  

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

467

Residential heating oil prices virtually unchanged  

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, 2014

468

Residential heating oil prices virtually unchanged  

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, 20144

469

Residential heating oil prices virtually unchanged  

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, 201449, 2014

470

Residential heating oil prices virtually unchanged  

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, 201449,

471

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993

472

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

473

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

474

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

475

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

476

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

477

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet)per Thousand Cubic Feet) DecadeCubicfrom CanadaYear 1993 1994

478

STEO January 2013 - world oil prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May JunDatastreamsmmcrcalgovInstrumentsrucLas ConchasPassive Solar HomePromisingStoriesSANDIA REPORTSORNRecovery ActRSTEM

479

Summary Statistics Table 1. Crude Oil Prices  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative FuelsTotal" (Percent) Type: Sulfur Content API Gravity Period: Monthly Annual Download Series History Download Series History Definitions, 1993

480

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

E-Print Network [OSTI]

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

Noel, Michael

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "oil price time" from the National Library of EnergyBeta (NLEBeta).
While these samples are representative of the content of NLEBeta,
they are not comprehensive nor are they the most current set.
We encourage you to perform a real-time search of NLEBeta
to obtain the most current and comprehensive results.


481

COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING  

E-Print Network [OSTI]

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

Sadoulet, Elisabeth

482

Patterns of crude demand: Future patterns of demand for crude oil as a func-  

E-Print Network [OSTI]

from the perspective of `peak oil', that is from the pers- pective of the supply of crude, and price#12;2 #12;Patterns of crude demand: Future patterns of demand for crude oil as a func- tion is given on the problems within the value chain, with an explanation of the reasons why the price of oil

Langendoen, Koen

483

The Minimum Price Contract  

E-Print Network [OSTI]

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...

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

2008-10-17T23:59:59.000Z

484

Grid Pricing of Fed Cattle  

E-Print Network [OSTI]

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....

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

2009-03-02T23:59:59.000Z

485

Addressing the Level of Florida's Electricity Prices Theodore Kury1  

E-Print Network [OSTI]

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

Jawitz, James W.

486

Airline price discrimination: A practice of yield management or customer  

E-Print Network [OSTI]

Airline price discrimination: A practice of yield management or customer profiling? Rasha H.h.j.dierckx@student.utwente.nl ABSTRACT Prices of airline tickets frequently change, which is traditionally caused by yield management as price discrimination practice. In more recent times however, customer information is easily obtainable

Twente, Universiteit

487

A Threshold Autoregressive Model for Wholesale Electricity Prices  

E-Print Network [OSTI]

A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat, Department, 2003 Abstract We introduce a discrete-time model for electricity prices, which accounts for both spikes Introduction The study of electricity price dynamics has attracted significant attention from researchers

488

Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter  

E-Print Network [OSTI]

Calibration of Stochastic Convenience Yield Models For Crude Oil Using the Kalman Filter A and variance of the Ornstein-Uhlenbeck process . . . . . . . . . . . . . . . . . . . . 7 2.2 Market price of a future delivery . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 9 2.4 Price valuation

Vuik, Kees

489

A study of the composition of soap stock from cottonseed oil as influenced by variation in the length of time of cooking cotton-seed meats  

E-Print Network [OSTI]

Listry and Cheaieal Engineering. A STUDY OF THE GONPOSITION OF SOAP STOCK FROW COTTONSEED OIL AS INFLUENCED BY VARIATION IN ~ LENGTH OF TIliE OF COOKINO COTTONSEED %EATS A THESIS Pau1 Sieoioe Zuae, 1958 A. STUDY OF THE COMPOSITION OF SOAP STOCK FRObf COTTONSEED... OIL AS INFLUENCED BY VARIATION IN THE LENGTH OF TIME OF COOKINO COTTONSEED MEATS Submitte& te the Faoultp of the Agricultrual and Meohanioal ColLege of Texan Partial Fulfillaeat of the Requireeeats for the Degree of Mneter of Soienoe Eager Sub...

Siecke, Paul

1932-01-01T23:59:59.000Z

490

Impact of 1973 Oil Embargo and 2005 Katrina on Energy Efficiency  

E-Print Network [OSTI]

influence that they had on the world through oil. One of the many results of the oil embargo was higher oil prices all through out the western world, particularly North America. The embargo forced to consider many things about energy..., such as the cost and supply, which up to 1973 no one had worried about. Although the embargo ended only years after it began in 1973, the Oil Producing and Exporting Countries (OPEC) nations had quadrupled the price of oil in the west. The rising oil prices...

Mehta, P.

491

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

E-Print Network [OSTI]

households face typically higher time of use prices for any electricityelectricity prices in San Diego County are tiered by monthly consumption, with each householdHouseholds may be uncertain about how much electricity the solar panels will generate, the future price of electricity

Dastrup, Samuel R.

2011-01-01T23:59:59.000Z

492

Residential Heating Oil Weekly Heating Oil and Propane Prices (October -  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data 2010Feet) Year

493

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

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) " ,"ClickPipelines About U.S. NaturalA. Michael SchaalNovember1. Foreign salesWestern Hemisphere4 Paul

494

Valuing modular nuclear power plants in finite time decision horizon Shashi Jain a,b,  

E-Print Network [OSTI]

, the Netherlands a b s t r a c ta r t i c l e i n f o Article history: Received 7 May 2012 Received in revised form of decision time, uncertainty in electricity prices, and constraints on the construction of units been applied to value real assets like mines (Brennan and Schwartz (1985)), oil leases (Paddock, et. al

Oosterlee, Cornelis W. "Kees"

495

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

E-Print Network [OSTI]

is the price of light sweet crude oil futures traded on the New York Mercantile Exchange (NYMEX), basedChapter 7 Estimation of Volatility The values of the parameters r, t, St, T, and K used to price in the stock price model dSt St = µdt + dBt. A natural estimator for the trend parameter µ can be written as ^µ

Privault, Nicolas

496

Low prices harpoon Canada's mini-boom  

SciTech Connect (OSTI)

The authors present an analysis of the year 1988 in the Canadian oil and gas industry. With budgets underpinned by price expectations of $17/bbl to $18/bbl for WTI crude, optimism pervaded industry at the beginning of the year. Budget plans called for total spending of some C$7.6 billion, an increase of 25% over the C$6.1 invested in 1987. Drilling plans would have made 1988 the fourth best year on record with total well completions close to the 9,000-well mark. The year started strongly, as prices performed close to expectations. When prices began to soften and no reversal was apparent, corporate expenditures began to be adjusted in the second half.

Maciej, H. (Canadian Petroleum Association, Calgary, Alta (CA))

1989-02-01T23:59:59.000Z

497

Time course of systemic oxidative stress and inflammatory response induced by an acute exposure to Residual Oil Fly Ash  

SciTech Connect (OSTI)

It is suggested that systemic oxidative stress and inflammation play a central role in the onset and progression of cardiovascular diseases associated with the exposure to particulate matter (PM). The aim of this work was to evaluate the time changes of systemic markers of oxidative stress and inflammation, after an acute exposure to Residual Oil Fly Ash (ROFA). Female Swiss mice were intranasally instilled with a ROFA suspension (1.0 mg/kg body weight) or saline solution, and plasma levels of oxidative damage markers [thiobarbituric acid reactive substances (TBARSs) and protein carbonyls], antioxidant status [reduced (GSH) and oxidized (GSSG) glutathione, ascorbic acid levels, and superoxide dismutase (SOD) activity], cytokines levels, and intravascular leukocyte activation were evaluated after 1, 3 or 5 h of exposure. Oxidative damage to lipids and decreased GSH/GSSG ratio were observed in ROFA-exposed mice as early as 1 h. Afterwards, increased protein oxidation, decreased ascorbic acid content and SOD activity were found in this group at 3 h. The onset of an adaptive response was observed at 5 h after the ROFA exposure, as indicated by decreased TBARS plasma content and increased SOD activity. The observed increase in oxidative damage to plasma macromolecules, together with systemic antioxidants depletion, may be a consequence of a systemic inflammatory response triggered by the ROFA exposure, since increased TNF-? and IL-6 plasma levels and polymorphonuclear leukocytes activation was found at every evaluated time point. These findings contribute to the understanding of the increase in cardiovascular morbidity and mortality, in association with environmental PM inhalation. - Highlights: • An acute exposure to ROFA triggers the occurrence of systemic oxidative stress. • Changes in plasmatic oxidative stress markers appear as early as 1 h after exposure. • ROFA induces proinflammatory cytokines release and intravascular leukocyte activation. • PMN activation is a relevant source of reactive oxygen species in this model. • These findings may account for previously described cardiopulmonary alterations.

Marchini, T.; Magnani, N.D. [Cátedra de Química General e Inorgánica, Instituto de Bioquímica y Medicina Molecular (IBIMOL UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 954, C1113AAB Buenos Aires (Argentina); Paz, M.L. [Cátedra de Inmunología, Instituto de Estudios de la Inmunidad Humoral (IDEHU UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 954, C1113AAB Buenos Aires (Argentina); Vanasco, V. [Cátedra de Química General e Inorgánica, Instituto de Bioquímica y Medicina Molecular (IBIMOL UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 954, C1113AAB Buenos Aires (Argentina); Tasat, D. [CESyMA, Facultad de Ciencia Tecnología, Universidad Nacional de General San Martín, Martín de Irigoyen 3100, 1650 San Martín, Buenos Aires (Argentina); González Maglio, D.H. [Cátedra de Inmunología, Instituto de Estudios de la Inmunidad Humoral (IDEHU UBA-CONICET), Facultad de Farmacia y Bioquímica, Universidad de Buenos Aires, Junín 954, C1113AAB Buenos Aires (Argentina); and others

2014-01-15T23:59:59.000Z

498

Assessing the Effect of Timing of Availability for Carbon Dioxide Storage in the Largest Oil and Gas Pools in the Alberta Basin: Description of Data and Methodology  

SciTech Connect (OSTI)

Carbon dioxide capture from large stationary sources and storage in geological media is a technologically-feasible mitigation measure for the reduction of anthropogenic emissions of CO2 to the atmosphere in response to climate change. Carbon dioxide (CO2) can be sequestered underground in oil and gas reservoirs, in deep saline aquifers, in uneconomic coal beds and in salt caverns. The Alberta Basin provides a very large capacity for CO2 storage in oil and gas reservoirs, along with significant capacity in deep saline formations and possible unmineable coal beds. Regional assessments of potential geological CO2 storage capacity have largely focused so far on estimating the total capacity that might be available within each type of reservoir. While deep saline formations are effectively able to accept CO2 immediately, the storage potential of other classes of candidate storage reservoirs, primarily oil and gas fields, is not fully available at present time. Capacity estimates to date have largely overlooked rates of depletion in these types of storage reservoirs and typically report the total estimated storage capacity that will be available upon depletion. However, CO2 storage will not (and cannot economically) begin until the recoverable oil and gas have been produced via traditional means. This report describes a reevaluation of the CO2 storage capacity and an assessment of the timing of availability of the oil and gas pools in the Alberta Basin with very large storage capacity (>5 MtCO2 each) that are being looked at as likely targets for early implementation of CO2 storage in the region. Over 36,000 non-commingled (i.e., single) oil and gas pools were examined with effective CO2 storage capacities being individually estimated. For each pool, the life expectancy was estimated based on a combination of production decline analysis constrained by the remaining recoverable reserves and an assessment of economic viability, yielding an estimated depletion date, or year that it will be available for CO2 storage. The modeling framework and assumptions used to assess the impact of the timing of CO2 storage resource availability on the region’s deployment of CCS technologies is also described. The purpose of this report is to describe the data and methodology for examining the carbon dioxide (CO2) storage capacity resource of a major hydrocarbon province incorporating estimated depletion dates for its oil and gas fields with the largest CO2 storage capacity. This allows the development of a projected timeline for CO2 storage availability across the basin and enables a more realistic examination of potential oil and gas field CO2 storage utilization by the region’s large CO2 point sources. The Alberta Basin of western Canada was selected for this initial examination as a representative mature basin, and the development of capacity and depletion date estimates for the 227 largest oil and gas pools (with a total storage capacity of 4.7 GtCO2) is described, along with the impact on source-reservoir pairing and resulting CO2 transport and storage economics. The analysis indicates that timing of storage resource availability has a significant impact on the mix of storage reservoirs selected for utilization at a given time, and further confirms the value that all available reservoir types offer, providing important insights regarding CO2 storage implementation to this and other major oil and gas basins throughout North America and the rest of the world. For CCS technologies to deploy successfully and offer a meaningful contribution to climate change mitigation, CO2 storage reservoirs must be available not only where needed (preferably co-located with or near large concentrations of CO2 sources or emissions centers) but also when needed. The timing of CO2 storage resource availability is therefore an important factor to consider when assessing the real opportunities for CCS deployment in a given region.

Dahowski, Robert T.; Bachu, Stefan

2007-03-05T23:59:59.000Z

499

Oil shale technology  

SciTech Connect (OSTI)

Oil shale is undoubtedly an excellent energy source that has great abundance and world-wide distribution. Oil shale industries have seen ups and downs over more than 100 years, depending on the availability and price of conventional petroleum crudes. Market forces as well as environmental factors will greatly affect the interest in development of oil shale. Besides competing with conventional crude oil and natural gas, shale oil will have to compete favorably with coal-derived fuels for similar markets. Crude shale oil is obtained from oil shale by a relatively simple process called retorting. However, the process economics are greatly affected by the thermal efficiencies, the richness of shale, the mass transfer effectiveness, the conversion efficiency, the design of retort, the environmental post-treatment, etc. A great many process ideas and patents related to the oil shale pyrolysis have been developed; however, relatively few field and engineering data have been published. Due to the vast heterogeneity of oil shale and to the complexities of physicochemical process mechanisms, scientific or technological generalization of oil shale retorting is difficult to achieve. Dwindling supplied of worldwide petroleum reserves, as well as the unprecedented appetite of mankind for clean liquid fuel, has made the public concern for future energy market grow rapidly. the clean coal technology and the alternate fuel technology are currently of great significance not only to policy makers, but also to process and chemical researchers. In this book, efforts have been made to make a comprehensive text for the science and technology of oil shale utilization. Therefore, subjects dealing with the terminological definitions, geology and petrology, chemistry, characterization, process engineering, mathematical modeling, chemical reaction engineering, experimental methods, and statistical experimental design, etc. are covered in detail.

Lee, S. (Akron Univ., OH (United States). Dept. of Chemical Engineering)

1991-01-01T23:59:59.000Z

500

Estimation of Several Political Action Effects of Energy Prices  

E-Print Network [OSTI]

One important effect of price shocks in the United States has been increased political attention paid to the structure and performance of oil and natural gas markets, along with some governmental support for energy conservation. This paper describes how price changes helped lead the emergence of a political agenda accompanied by several interventions, as revealed through Granger causality tests on change in the legislative agenda.

Whitford, Andrew B

2015-01-01T23:59:59.000Z