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Note: This page contains sample records for the topic "future electricity price" 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

NYMEX Futures Prices  

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

NYMEX Futures Prices NYMEX Futures Prices (Crude Oil in Dollars per Barrel, All Others in Dollars per Gallon) Period: Daily Weekly Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Product/ Contract 12/10/13 12/11/13 12/12/13 12/13/13 12/16/13 12/17/13 View History Crude Oil (Light-Sweet, Cushing, Oklahoma) Contract 1 98.51 97.44 97.5 96.6 97.48 97.22 1983-2013 Contract 2 98.66 97.72 97.82 96.93 97.77 97.47 1985-2013 Contract 3 98.58 97.72 97.77 96.91 97.7 97.36 1983-2013 Contract 4 98.19 97.39 97.42 96.55 97.28 96.92 1985-2013 Reformulated Regular Gasoline (New York Harbor) Contract 1 1985-2006 Contract 2 1994-2006 Contract 3 1984-2006 Contract 4 1994-2006 RBOB Regular Gasoline (New York Harbor)

2

A NONGAUSSIAN ORNSTEINUHLENBECK PROCESS FOR ELECTRICITY SPOT PRICE MODELING AND  

E-Print Network (OSTI)

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

Kallsen, Jan

3

High Electricity Prices  

E-Print Network (OSTI)

Generators supplying electricity markets are subject to volatile input and output prices and uncertain fuel availability. Price-risk may be hedged to a considerable extent but fuel-risk water flows in the case of hydro and gas availability in the case of thermal plants may not be. We show that a price-taking generator will only generate when the output price exceeds its marginal cost by an amount that reflects the value of the option to delay the use of stored fuel. The corresponding offer price is different from the theorized offer prices of static uniform auctions and more akin to pay-as-bid auction prices. We argue that the option value of delaying fuel use, which is an increasing function of spot price volatility and the uncertainty about fuel availability, must be considered when evaluating whether market power is present in electricity markets. The engineering approach to simulating an electricity supply curve, which has been used in market power evaluations to date, may lead to supply curves that are quite different from those that recognize possible fuel availability limitations, even in the complete absence of market power.

Kevin Counsell; Graeme Guthrie; Steen Videbeck

2006-01-01T23:59:59.000Z

4

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

E-Print Network (OSTI)

Permit Prices to Raise Electricity Prices: Evidence from thePermit Prices to Raise Electricity Prices: Evidence from thehigher wholesale electricity prices, during the third and

Kolstad, Jonathan; Wolak, Frank

2003-01-01T23:59:59.000Z

5

A Threshold Autoregressive Model for Wholesale Electricity Prices  

E-Print Network (OSTI)

A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat Carnegie model; electricity prices; spikes; Markov chain Monte Carlo. 1. Introduction The dynamics of electricity of electricity price dynamics is essential for pricing and hedging financial futures and options on power

6

Natural Gas Futures Prices (NYMEX)  

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

120313 View History Spot Price Henry Hub 3.871 3.871 3.871 3.853 1997-2013 Futures Prices Contract 1 3.818 3.895 3.895 3.954 3.988 3.976 1994-2013 Contract 2 3.864 3.899 3.899...

7

Competitive Electricity Prices: An Update  

Reports and Publications (EIA)

Illustrates a third impact of the move to competitive generation pricing -- the narrowing of the range of prices across regions of the country. This feature article updates information in Electricity Prices in a Competitive Environment: Marginal Cost Pricing of Generation Services and Financial Status of Electric Utilities.

J Alan Beamon

1998-07-06T23:59:59.000Z

8

Natural Gas Electric Power Price  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric ... Gas volumes delivered for vehicle fuel are included in the State monthly totals from January ...

9

Natural Gas Futures Prices (NYMEX)  

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

13 View History Spot Price Henry Hub 3.69 3.55 3.47 3.62 3.68 3.87 1997-2013 Futures Prices Contract 1 3.64 3.56 3.50 3.60 3.66 3.87 1994-2013 Contract 2 3.76 3.65 3.57 3.65 3.71...

10

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

11

Natural Gas Futures Prices (NYMEX)  

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

4.0 2.75 1997-2012 NGL Composite 12.91 15.20 8.99 11.83 15.12 10.98 2007-2012 Futures Prices Contract 1 7.114 8.899 4.159 4.382 4.03 2.83 1994-2012 Contract 2 7.359 9.014 4.428...

12

Natural Gas Futures Prices (NYMEX)  

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

3.62 3.43 3.62 3.68 1997-2013 NGL Composite 9.48 9.06 9.57 10.21 2009-2013 Futures Prices Contract 1 4.07 3.81 3.64 3.41 3.62 3.65 1994-2013 Contract 2 4.11 3.82 3.64 3.45 3.70...

13

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

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

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

14

Renewable Electricity Futures (Presentation)  

DOE Green Energy (OSTI)

This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

Hand, M. M.

2012-09-01T23:59:59.000Z

15

Renewable Electricity Futures (Presentation)  

SciTech Connect

This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

Mai, T.

2013-04-01T23:59:59.000Z

16

Renewable Electricity Futures (Presentation)  

SciTech Connect

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

Mai, T.

2012-10-01T23:59:59.000Z

17

Renewable Electricity Futures (Presentation)  

Science Conference Proceedings (OSTI)

This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

Mai, T.

2012-11-01T23:59:59.000Z

18

Forecasting future volatility from option prices, Working  

E-Print Network (OSTI)

Weisbach are gratefully acknowledged. I bear full responsibility for all remaining errors. Forecasting Future Volatility from Option Prices Evidence exists that option prices produce biased forecasts of future volatility across a wide variety of options markets. This paper presents two main results. First, approximately half of the forecasting bias in the S&P 500 index (SPX) options market is eliminated by constructing measures of realized volatility from five minute observations on SPX futures rather than from daily closing SPX levels. Second, much of the remaining forecasting bias is eliminated by employing an option pricing model that permits a non-zero market price of volatility risk. It is widely believed that option prices provide the best forecasts of the future volatility of the assets which underlie them. One reason for this belief is that option prices have the ability to impound all publicly available information including all information contained in the history of past prices about the future volatility of the underlying assets. A second related reason is that option pricing theory maintains that if an option prices fails to embody optimal forecasts of the future volatility of the underlying asset, a profitable trading strategy should be available whose implementation would push the option price to the level that reflects the best possible forecast of future volatility.

Allen M. Poteshman

2000-01-01T23:59:59.000Z

19

Data driven medium term electricity price forecasting in ontario electricity market and Nord Pool.  

E-Print Network (OSTI)

??Having accurate predictions on market price variations in the future is of great importance to participants in todays electricity market. Many studies have been done (more)

Torbaghan, Shahab Shariat

2010-01-01T23:59:59.000Z

20

Electricity Prices in a Competitive Environment: Marginal Cost Pricing  

Reports and Publications (EIA)

Presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated cost-of-service pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity of electricity suppliers?

Information Center

1997-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Primer on electricity futures and other derivatives  

SciTech Connect

Increased competition in bulk power and retail electricity markets is likely to lower electricity prices, but will also result in greater price volatility as the industry moves away from administratively determined, cost-based rates and encourages market-driven prices. Price volatility introduces new risks for generators, consumers, and marketers. Electricity futures and other derivatives can help each of these market participants manage, or hedge, price risks in a competitive electricity market. Futures contracts are legally binding and negotiable contracts that call for the future delivery of a commodity. In most cases, physical delivery does not take place, and the futures contract is closed by buying or selling a futures contract on or near the delivery date. Other electric rate derivatives include options, price swaps, basis swaps, and forward contracts. This report is intended as a primer for public utility commissioners and their staff on futures and other financial instruments used to manage price risks. The report also explores some of the difficult choices facing regulators as they attempt to develop policies in this area.

Stoft, S.; Belden, T.; Goldman, C.; Pickle, S.

1998-01-01T23:59:59.000Z

22

Thinking Strategically About Electricity Pricing  

Science Conference Proceedings (OSTI)

Traditional rate design focuses on a utility's cost of service and generally ignores the difference in value that individual customers place on electricity. This report presents a framework for developing pricing strategies that consider both elements in a way that maximizes overall customer welfare.

1992-12-01T23:59:59.000Z

23

Pricing of electricity in Indonesia  

SciTech Connect

The objectives of this study are 1) to establish a sound theoretical basis for the determinants of electricity demand in Indonesia, 2) to measure the welfare losses of existing electricity pricing, and 3) to suggest a method of reducing these welfare losses. An econometric model for electricity demand is estimated using pooled time-series of fifteen regions in Indonesia covering the period 1970-1979. The short run price elasticities for both residential and industrial/business sectors are found to be inelastic, while the long run price elasticities for these sectors are found to be quite elastic with a value of -.61 for the residential sector and of -1.1 for the industrial/business sector. Income elasticity is .8 in the short run and around 1.00 for the long run. The exposure variable that captures the accessibility of electricity, has long run elasticity of 1.00 for the residential sector and less than 1.00 for the industrial/business sector. Due to distributional considerations, the 1980's electricity rate was set below its efficient level, and has created a welfare loss of Rp.8273.23 million per month. This accounts for 36.03% of the monthly electricity revenue. A rebate mechanism is recommended in this study, which provides a way to mitigate conflicting aspects of efficiency and equity.

Amarullah, M.

1983-01-01T23:59:59.000Z

24

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresNatural Gas Futures Prices F igure 1 focuses on the historynatural gas prices. Figure 1 shows the daily price history

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

25

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

26

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

is unable to reduce electricity prices. The unstorability ofhourly variability in electricity prices while maintainingboth forward and spot electricity prices a ect demand. Our

Siddiqui, Afzal S.

2003-01-01T23:59:59.000Z

27

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:spot and forward electricity prices in more detail than in

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

28

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

4 Calculation of Electricity Prices 4.1 Averageseasonal and annual electricity prices by region in c/kWh.based annual average electricity price vs. annual energy

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

2008-01-01T23:59:59.000Z

29

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:spot and forward electricity prices in more detail than in

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

30

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

4.2 E?ective Marginal Prices . . . . . . . . . . . . . . . .Demand Prices . . . . . . . . . . . . . . . . . . . . . .4 Calculation of Electricity Prices 4.1 Average

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

2008-01-01T23:59:59.000Z

31

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

E-Print Network (OSTI)

range of different plausible price projections, using eitherthat renewables can provide price certainty over even longerof AEO 2009 Natural Gas Price Forecast to NYMEX Futures

Bolinger, Mark

2009-01-01T23:59:59.000Z

32

Renewable Electricity Futures (Presentation)  

SciTech Connect

This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. This presentation was presented in a Wind Powering America webinar on August 15, 2012 and is now available through the Wind Powering America website.

Mai, T.

2012-08-01T23:59:59.000Z

33

Renewable Electricity Futures (Presentation)  

SciTech Connect

This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented in a Power Systems Engineering Research Center webinar on September 4, 2012.

Mai, T.

2012-08-01T23:59:59.000Z

34

Renewable Electricity Futures (Presentation)  

SciTech Connect

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented in an Union of Concerned Scientists webinar on June 12, 2012.

Hand, M.; Mai, T.

2012-08-01T23:59:59.000Z

35

Renewable Electricity Futures (Presentation)  

Science Conference Proceedings (OSTI)

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It is being presented at the Utility Variable-Generation Integration Group Fall Technical Workshop on October 24, 2012.

Hand, M.

2012-10-01T23:59:59.000Z

36

Renewable Electricity Futures (Presentation)  

Science Conference Proceedings (OSTI)

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented in a webinar given by the California Energy Commission.

Hand, M. M.

2012-08-01T23:59:59.000Z

37

Dynamic Pricing and Learning in Electricity Markets  

Science Conference Proceedings (OSTI)

We analyze the price-formation process in an infinite-horizon oligopoly model where hydroelectric generators engage in dynamic price-based competition. The analysis focuses on the role of "indifference" prices, i.e., prices that equate the gains from ... Keywords: Dynamic auctions, Economics, Games: stochastic, Natural resources: energy, Noncooperative, Restructured electricity markets, Water resources

Alfredo Garcia; Enrique Campos-Naez; James Reitzes

2005-03-01T23:59:59.000Z

38

Renewable Electricity Futures (Presentation)  

Science Conference Proceedings (OSTI)

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented to the 2012 Western Conference of Public Service Commissioners, during their June, 2012, meeting. The Western Conference of Public Service Commissioners is a regional association within the National Association of Regulatory Utility Commissioners (NARUC).

Hand, M. M.

2012-08-01T23:59:59.000Z

39

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 report, Staff Forecast: Retail Electricity Prices, 2005 to 2018, was prepared with contributions from the technical assistance provided by Greg Broeking of R.W. Beck, Inc. in preparing retail price forecasts

40

2012 Brief: Average wholesale electricity prices down compared ...  

U.S. Energy Information Administration (EIA)

2012 Brief: Average wholesale electricity prices down compared to last year. ... wholesale electric power prices often trend together with natural gas prices.

Note: This page contains sample records for the topic "future electricity price" 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

Renewable Electricity Futures (Presentation)  

DOE Green Energy (OSTI)

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented at Wind Powering America States Summit. The Summit, which follows the American Wind Energy Association's (AWEA's) annual WINDPOWER Conference and Exhibition, provides state Wind Working Groups, state energy officials, U.S. Energy Department and national laboratory representatives, and professional and institutional partners an opportunity to review successes, opportunities, and challenges for wind energy and plan future collaboration.

DeMeo, E.

2012-08-01T23:59:59.000Z

42

Electricity market clearing price forecasting under a deregulated electricity market .  

E-Print Network (OSTI)

??Under deregulated electric market, electricity price is no longer set by the monopoly utility company rather it responds to the market and operating conditions. Offering (more)

Yan, Xing

2009-01-01T23:59:59.000Z

43

October 2009Rethinking 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 real time pricing (RTP). I nd that enrolled households are statistically signicantly price elastic and that consumers responded by conserving energy during peak hours, but remarkably did not increase average consumption during o-peak times. Welfare analysis suggests that program households were not su ciently price elastic to generate e ciency gains that substantially outweigh the estimated costs of the advanced electricity meters required to observe hourly consumption. Although in electricity pricing, congestion pricing, and many other settings, economistsintuition is that prices should be aligned with marginal costs, residential RTP may provide an important real-world example of a situation where this is not currently welfare-enhancing given contracting or information costs.

Hunt Allcott; Hunt Allcott; Bill Hogan; Erich Muehlegger; Larry Katz; Erin Mansur; Sendhil Mullainathan; Paul Niehaus; Chris Nosko; Ariel Pakes; Dave Rapson; Rob Stavins; Frank Wolak

2009-01-01T23:59:59.000Z

44

Expected Future Value Decomposition Based Bid Price Generation ...  

E-Print Network (OSTI)

Dec 21, 2009 ... Expected Future Value Decomposition Based Bid Price Generation for ... The EFV curves are used to define bid prices on bundles of resources...

45

Renewable Electricity Futures (Presentation)  

SciTech Connect

This presentation library summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. It was presented at the 2012 RE AMP Annual Meeting. RE-AMP is an active network of 144 nonprofits and foundations across eight Midwestern states working on climate change and energy policy with the goal of reducing global warming pollution economy-wide 80% by 2050.

Mai, T.

2012-08-01T23:59:59.000Z

46

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

47

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

48

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresNatural Gas Futures Prices Figure 1 focuses on the historythe daily history of the average 5-year natural gas futures

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

49

Electricity Market Design and Price Manipulation  

E-Print Network (OSTI)

Integration of physical transactions and financial contracts is central to successful electricity market design. Virtually every energy transaction has some impact on prices. The mere fact that a physical transaction can affect prices to some degree, and thereby influence the prices of related financial contracts, cannot be a per se definition of price manipulation. A principled policy for characterizing price manipulation in organized electricity markets includes a stand-alone profitability test. Multiple market-clearing prices arise from degenerate pricing conditions that can occur in electricity markets under economic dispatch. In some instances, small changes in bilateral schedules can produce large changes in prices. These prices affect the value of associated financial transmission rights. A stand-alone profitability test distinguishes transactions that are consistent with workably competitive markets from transactions that serve no economic purpose other than to manipulate prices and profit from other financial contracts. Generalizing this standard to the degenerate conditions that give rise to multiple market-clearing prices provides a principled solution without undermining the market-design foundations that integrate economic dispatch, locational prices and financial transmission rights.

William W. Hogan; William W. Hogan I

2012-01-01T23:59:59.000Z

50

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

by strengthening the real-time price link between wholesaleincreasing real-time demand response to electricity price

Herter, Karen

2006-01-01T23:59:59.000Z

51

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

E-Print Network (OSTI)

Figure 9: Two Alternative Price Forecasts (denoted by openComparison of AEO 2007 Natural Gas Price Forecast toNYMEX Futures Prices Date: December 6, 2006 Introduction On

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

52

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

E-Print Network (OSTI)

forecasts (or any other forecast, for that matter) in makingcase natural gas price forecast, but to also examine a wideAEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

53

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

E-Print Network (OSTI)

AEO 2009 Natural Gas Price Forecast to NYMEX Futures Priceslong-term natural gas price forecasts from the AEO series toAEO reference-case gas price forecast compares to the NYMEX

Bolinger, Mark

2009-01-01T23:59:59.000Z

54

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

E-Print Network (OSTI)

a portion of the gas price forecast through 2010 can beAEO 2006 reference case forecast to conduct a 25-yearAEO 2006 Natural Gas Price Forecast to NYMEX Futures Prices

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

55

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

E-Print Network (OSTI)

9: Two Alternative Price Forecasts (denoted by open circlesAEO 2007 Natural Gas Price Forecast to NYMEX Futures Priceslong-term natural gas price forecasts from the AEO series to

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

56

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

E-Print Network (OSTI)

AEO 2005 reference case oil price forecast and NYMEX oi lthan the reference case oil price forecast for that year. Inoil futures case where oil prices are based on the NYMEX

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

57

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

E-Print Network (OSTI)

to the EIAs natural gas price forecasts in AEO 2004 and AEOon the AEO 2005 natural gas price forecasts will likely onceof AEO 2005 Natural Gas Price Forecast to NYMEX Futures

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

58

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

E-Print Network (OSTI)

this hybrid NYMEX-EIA gas price projection still does notonly a portion of the gas price forecast through 2010 of AEO 2006 Natural Gas Price Forecast to NYMEX Futures

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

59

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

60

Essays on pricing electricity and electricity derivatives in deregulated markets.  

E-Print Network (OSTI)

??This dissertation is composed of four essays on the behavior of wholesale electricity prices and their derivatives. The first essay provides an empirical model that (more)

Popova, Julia.

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Energy futures markets are hubs that price and marketenergy price fluctuations. In theory, futures market pricesenergy prices, including most prominently, energy futures markets.

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

2005-01-01T23:59:59.000Z

62

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresthe daily history of the average 5-year natural gas futuresNatural Gas Futures Prices F igure 1 focuses on the history

Bolinger, Mark

2008-01-01T23:59:59.000Z

63

Wholesale electricity price changes diverge across regions during ...  

U.S. Energy Information Administration (EIA)

Trends in average on-peak spot electricity prices, the wholesale price of electricity at major trading points, varied across the United States in the first half ...

64

Average wholesale electric power prices rose in 2010 - Today in ...  

U.S. Energy Information Administration (EIA)

Average wholesale electric power prices rose in 2010, due to higher national natural gas prices and increased demand for electricity, particularly in the Eastern ...

65

Intraclass Price Elasticity & Electric Rate Design  

E-Print Network (OSTI)

Electric rate design relies on cost incurrance for pricing and pricing structures. However, as utilities move into a marketing mode, rate design needs to respond more to customer reactions to pricing changes. Intraclass price elasticities aid rate designers by estimating customer behavior to change. Intraclass price elasticities vary with customer usage. The more energy used by a customer, the greater the amount of elasticity. For an industrial customer, this means that all energy consumed up to the amount necessary for base operations is relatively inelastic. All energy consumption beyond this becomes more elastic as usage increases. In the book "Innovative Electric Rates," John Chamberlin and Charles Dickson utilize an economic model to test conservation programs. This model utilizes intraclass price elasticities and has a direct use in current electric rate design. The model is a strong indicator of how best a company's electric prices and pricing structures manage demand-side growth, increase energy sales consumption, and aide in non-discriminatory economic development.

Gresham, K. E.

1987-09-01T23:59:59.000Z

66

Price of electricity tracks cost of living  

SciTech Connect

The retail price of electricity and the consumer price index are rising at about the same rate: 241.5 and 242.6, respectively, based on a 1967 index of 100. Increases in fossil fuel costs, wages, and the cost of borrowed funds have contributed to these changes. Details of the annual percentage changes are summarized in five tables. (DCK)

Not Available

1980-09-01T23:59:59.000Z

67

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

E-Print Network (OSTI)

A Probabilistic Graphical Approach to Computing Electricity Price Duration Curves under Price,oren}@ieor.berkeley.edu Abstract-- The electricity price duration curve (EPDC) repre- sents the probability distribution function of the electricity price considered as a random variable. The price uncertainty comes both from the demand side

Oren, Shmuel S.

68

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

Science Conference Proceedings (OSTI)

The electricity price duration curve (EPDC) represents the probability distribution function of the electricity price considered as a random variable. The price uncertainty comes both from the demand side and the supply side, since the load varies continuously, ...

Pascal Michaillat; Shmuel Oren

2007-01-01T23:59:59.000Z

69

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 real-time pricing (RTP). I nd that enrolled households are statistically signicantly price elastic and that consumers responded by conserving energy during peak hours, but remarkably did not increase average consumption during o-peak times. The program increased consumer surplus by $10 per household per year. While this is only one to two percent of electricity costs, it illustrates a potential additional benet from investment in retail Smart Grid applications, including the advanced electricity meters required to observe a households hourly consumption.

Hunt Allcott; Bill Hogan; Erich Muehlegger; Larry Katz; Erin Mansur; Sendhil Mullainathan; Paul Niehaus; Chris Nosko; Ariel Pakes; Dave Rapson; Rob Stavins; Frank Wolak

2010-01-01T23:59:59.000Z

70

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

E-Print Network (OSTI)

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

Bolinger, Mark

2008-01-01T23:59:59.000Z

71

Assessment of Prices of Natural Gas Futures Contracts As A Predictor of Realized Spot Prices, An  

Reports and Publications (EIA)

This article compares realized Henry Hub spot market prices for natural gas during the three most recent winters with futures prices as they evolve from April through the following February, when trading for the March contract ends.

Lejla Alic

2005-10-28T23:59:59.000Z

72

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

E-Print Network (OSTI)

longer-term market-based forecasts that can be used to more-AEO 2008 Natural Gas Price Forecast to NYMEX Futures Priceslong-term natural gas price forecasts from the AEO series to

Bolinger, Mark

2008-01-01T23:59:59.000Z

73

The Pricing of Electricity to Aluminum Smelters in the Northwest  

E-Print Network (OSTI)

The Bonneville Power Administration is a federal agency marketing electric power in the Pacific Northwest. Bonneville sells power from federal hydroelectric projects and two nuclear projects to public and private utilities and directly to several major industrial firms, primarily aluminum companies operating aluminum smelters in the region. These direct service industries (DSIs) have a contractual right to purchase up to 3.500 average megawatts annually from Bonneville. Because the aluminum smelters in the Northwest are generally older and less efficient than plants in other parts of the world and because aluminum companies are facing lower electricity prices in other parts of the world, the Northwest plants have become "swing" plants. That is when the world price of aluminum is high, these plants will run at capacity but they are the first plants to shut down when the world price of aluminum is low. Because of these factors, DSIs have been purchasing only about 2.700 megawatts annually, and annual purchases have been as low as 1.670 megawatts. Sales to the DSIs represent about 45 percent of all industrial uses of electricity or about 18 percent of total electricity loads in the four-state region and about 23 percent of all Bonneville sales. The dramatic fluctuations in Bonnevilles revenue brought on by operating the aluminum plants in the region as swing plants have prompted Bonneville to search for innovative pricing schemes designed to maintain its revenue base. Bonneville's proposed strategy includes tying the price of electricity it sells to the aluminum smelters to the world price of aluminum. This paper will examine Bonneville's proposed pricing strategy; it will also examine other strategies to reduce uncertainty in the region's future electric load.

Foley, T. J.

1986-06-01T23:59:59.000Z

74

The Impact of Wind Power Generation on Wholesale Electricity Price ...  

Science Conference Proceedings (OSTI)

price for power generation are examined to forecast LNG price for power genera- tion. Information on future power plant's construction and decommission plan...

75

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

E-Print Network (OSTI)

A uniform price auction with locational price adjustments for competitive electricity markets in an electricity context requires that the offers used in the auction reflect the appropriate locational price necessary to adapt the Uniform Price auction to an electricity transmission system which takes into account

76

Integration of fluctuating energy by electricity price control  

E-Print Network (OSTI)

Integration of fluctuating energy by electricity price control Master Thesis Olivier Corradi can be activated by means of a varying electricity price. We will focus on the appliances that offer results in a price that may be characterised as the market price of electricity in the Nordic countries

77

Ohio Natural Gas Price Sold to Electric Power Consumers (Dollars ...  

U.S. Energy Information Administration (EIA)

Release Date: 9/30/2013: Next Release Date: 10/31/2013: Referring Pages: Natural Gas Electric Power Price ; Ohio Natural Gas Prices

78

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual" "Projected Price in Constant Dollars" " (constant dollars, cents per kilowatt-hour in ""dollar year"" specific to each AEO)"...

79

Colorado Natural Gas Price Sold to Electric Power Consumers ...  

U.S. Energy Information Administration (EIA)

Release Date: 9/30/2013: Next Release Date: 10/31/2013: Referring Pages: Natural Gas Electric Power Price ; Colorado Natural Gas Prices

80

Texas Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

View History: Monthly Annual Download Data (XLS File) Texas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet) Texas Natural Gas Price Sold to...

Note: This page contains sample records for the topic "future electricity price" 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

Texas Natural Gas Price Sold to Electric Power Consumers (Dollars ...  

U.S. Energy Information Administration (EIA)

Release Date: 7/31/2013: Next Release Date: 8/30/2013: Referring Pages: Natural Gas Electric Power Price ; Texas Natural Gas Prices

82

Consumer price index revision electricity workbook  

Science Conference Proceedings (OSTI)

Since electricity is considered one of the more difficult ELIs to price, the Revision Electricity Workbook has been developed to serve as a reference for Economic Assistants when pricing and initiating electricity quotes. As there are relatively few outlets available, (typically one per PSU), and electricity is published for each publication area, any error made when pricing electricity can seriously impact the CPI. To best utilize this workbook, read through it entirely and review the examples found in Section IV. The `Industry Overview` and `Electricity Sampling` sections provide background information that may be useful when interacting with the respondent. The `Specifications Review` section contains detailed descriptions of the checklist specifications as well as examples of how to correctly complete certain specification elements. Examples of how to handle rate schedules, complicated tax structures, refunds, etc., are grouped together in Section IV. The `Initiation` section provides procedural guidelines which must be used during initiation. The final section in the workbook outlines the procedures to be used when pricing CPI/PPI Overlap outlets (companies which participate in both the CPI and PPI surveys). As stated above, this workbook is to be used as a reference guide. If a situation arises that is not covered in this workbook, please contact your regional office for assistance.

NONE

1997-08-01T23:59:59.000Z

83

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

E-Print Network (OSTI)

prices and wholesale electricity prices. In this light, theby extension future electricity prices) may end up markedlythe form of lower electricity prices), and by reducing the

Bolinger, Mark A

2009-01-01T23:59:59.000Z

84

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

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

Herter, Karen

2006-01-01T23:59:59.000Z

85

Wealth Transfers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network (OSTI)

who are charged real-time prices. I discuss the politicalif customers exhibit real-time price elasticities of -0.1, Iit sees the actual real-time electricity price and responds.

Borenstein, Severin

2005-01-01T23:59:59.000Z

86

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network (OSTI)

Revised 1997 Retail Electricity Price Forecast March 1998 Principal Author: Ben Arikawa Electricity Energy Commission until adopted at a public meeting. #12;Revised 1997 Retail Price Forecast, December ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

87

Price Elasticity of Demand for Electricity: A Primer and Synthesis  

Science Conference Proceedings (OSTI)

The results of recent real-time pricing (RTP) and critical peak pricing (CPP) pilots demonstrate resoundingly that consumers can and will adjust electricity usage in response to price changes. Nonetheless, dynamic pricing plans are still novelties, in part because policy makers and pricing plan designers are equally skeptical of the impact of large-scale implementation. There is no consensus on the degree to which consumers will respond to price changes and as a result no concurrence on which pricing pla...

2008-01-17T23:59:59.000Z

88

Properties of Electricity Prices and the Drivers of Interconnector Revenue  

E-Print Network (OSTI)

differences. This can be seen in Figure 1. One would expect electricity prices in the UK and the Netherlands to be driven by the cost of producing electricity from fossil fuels and electricity prices in Norway to be determined by the deviation of reservoir... in fuel prices. The consistent hourly, daily and seasonal price differences between the UK and the Netherlands are much lower. However, the stochastic price shocks in the two countries are not perfectly correlated, meaning that arbitrage opportunities...

Parail, Vladimir

89

Electricity prices and power derivatives: Evidence from the Nordic Power Exchange  

E-Print Network (OSTI)

Electricity prices and power derivatives: Evidence from thein the behavior of electricity prices, and its implicationsbehavior of spot electricity prices. Respectively, Dpto.

Lucia, Julio J.; Schwartz, Eduardo

2000-01-01T23:59:59.000Z

90

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

E-Print Network (OSTI)

next days hourly electricity prices? ( CHECK ONLY ONE ) 1.to Real Time Electricity Prices, Unpublished Manuscript atahead Wholesale Market Electricity Prices: Case Study of RTP

2005-01-01T23:59:59.000Z

91

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

electricity prices reported by PJM. Prices are reported inNew Jersey, Maryland (PJM) electricity market for the periodusing the high-frequency PJM data set and documenting risk-

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

92

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

electricity prices reported by PJM. Prices are reported inNew Jersey, Maryland (PJM) electricity market for the periodusing the high-frequency PJM data set and documenting risk-

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

93

Electricity Market Price Forecasting in a Price-responsive Smart Grid Environment  

E-Print Network (OSTI)

of this load is to use electricity market price forecasts to op- timally schedule a combination of the gas of Electricity Market Price Forecasting Errors: A Demand-Side Analysis Hamidreza Zareipour, Member, IEEE, Claudio--Several techniques have been proposed in the liter- ature to forecast electricity market prices and improve forecast

94

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

electricity prices developed for residential AC were criticized by a number of stakeholders, who argued that retail rates

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

2008-01-01T23:59:59.000Z

95

Fossil Fuel Prices to Electric Utilities - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Fossil Fuel Prices to Electric Utilities. Sources: History: EIA; Projections: Short-Term Energy Outlook, July 2000.

96

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

against the risk of energy price fluctuations. In theory,The poor track record of energy price forecasting models hasof information about future energy prices, including most

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

2005-01-01T23:59:59.000Z

97

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

98

Optimal Production Planning under Time-sensitive Electricity Prices for  

E-Print Network (OSTI)

Optimal Production Planning under Time-sensitive Electricity Prices for Continuous Power-dependent electricity pricing schemes. In this paper, we describe a deterministic MILP model that allows optimal week and hourly changing electricity prices, we solve an industrial case study on air separation plants

Grossmann, Ignacio E.

99

Electric Sales, Revenue, and Average Price 2011 - Energy Information...  

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

All Electricity Reports Electric Sales, Revenue, and Average Price With Data for 2011 | Release Date: September 27, 2012 | Next Release Date: September, 2013 Previous editions...

100

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, stocks, generation, trade, ... Trade and Reliability; All Reports See All Electricity Reports

Note: This page contains sample records for the topic "future electricity price" 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

Price Electric Coop Inc | Open Energy Information  

Open Energy Info (EERE)

Price Electric Coop Inc Price Electric Coop Inc Place Wisconsin Utility Id 15356 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes ISO MISO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png Commercial-Peak Alert Commercial Commercial-With Demand-Three Phase Industrial Commercial-Without Demand-Single Phase Commercial Commercial-Without Demand-Three Phase Commercial Dual Fuel Commercial Lighting 100 Watt Outdoor Light Lighting Lighting 250 Watt Street Light Lighting Residential, Seasonal, and Farm Residential Average Rates Residential: $0.1650/kWh

102

Electricity pricing as a demand-side management strategy: Western lessons for developing countries  

Science Conference Proceedings (OSTI)

Electric utilities in the Western world have increasingly realized that load commitments can be met not only by constructing new generating plants but also by influencing electricity demand. This demand-side management (DSM) process requires that electric utilities promote measures on the customer's side of the meter to directly or indirectly influence electricity consumption to meet desired load objectives. An important demand-side option to achieve these load objectives is innovative electricity pricing, both by itself and as a financial incentive for other demand-site measures. This study explores electricity pricing as a DSM strategy, addressing four questions in the process: What is the Western experience with DSM in general and electricity pricing in particular Do innovative pricing strategies alter the amount and pattern of electricity consumption Do the benefits of these pricing strategies outweigh the costs of implementation What are future directions in electricity pricing Although DSM can be used to promote increases in electricity consumption for electric utilities with excess capacity as well as to slow demand growth for capacity-short utilities, emphasis here is placed on the latter. The discussion should be especially useful for electric utilities in developing countries that are exploring alternatives to capacity expansion to meet current and future electric power demand.

Hill, L.J.

1990-12-01T23:59:59.000Z

103

Perception of price when price information is costly: evidence from electricity demand  

Science Conference Proceedings (OSTI)

Economic theory predicts that a well-informed consumer facing multiple prices responds to marginal price rather than to average price because he equates benefits with costs at the margin. The marginal price postulate, however, may not be true if information regarding marginal price is costly. Residential consumption of electricity is an example of a good for which it is costly to determine marginal price since the price changes with quantity purchased according to a declining-block schedule. If the cost of determining marginal price exceeds its expected benefits, the consumer will base his consumption on simpler information rather than on marginal price. The most obvious candidate is the monthly bill. Since electricity expenditures are greater than they would be if priced at marginal price, perceived price is anticipated to be higher than marginal price. The model includes a price perception variable that depends on the complexity of the rate structure as measured by the ratio of average to marginal price. Pooled annual data from 1960 to 1980 on the seven Ohio electric utilities are used for estimation. The evidence supports the hypothesis that the residential consumer responds to average price. Further, the expected increase in consumer's surplus, if marginal price were correctly perceived, is calculated at the sample mean and found to be negligible compared to any possible cost of determining marginal price.

Shin, J.S.

1983-01-01T23:59:59.000Z

104

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

energy price fluctuations. In theory, futures market prices summarize privately available informationEnergy; Brookhaven National Laboratory Canadian Energy Research Institute U.S. Energy Information Administration Energy Marketsinformation about future energy prices, including most prominently, energy futures markets.

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

2005-01-01T23:59:59.000Z

105

Price Responsive Demand in New York Wholesale Electricity Market using  

NLE Websites -- All DOE Office Websites (Extended Search)

Price Responsive Demand in New York Wholesale Electricity Market using Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Title Price Responsive Demand in New York Wholesale Electricity Market using OpenADR Publication Type Report LBNL Report Number LBNL-5557E Year of Publication 2012 Authors Kim, Joyce Jihyun, and Sila Kiliccote Date Published 06/2012 Publisher LBNL/NYSERDA Keywords commercial, demand response, dynamic pricing, mandatory hourly pricing, open automated demand response, openadr, pilot studies & implementation, price responsive demand Abstract In New York State, the default electricity pricing for large customers is Mandatory Hourly Pricing (MHP), which is charged based on zonal day-ahead market price for energy. With MHP, retail customers can adjust their building load to an economically optimal level according to hourly electricity prices. Yet, many customers seek alternative pricing options such as fixed rates through retail access for their electricity supply. Open Automated Demand Response (OpenADR) is an XML (eXtensible Markup Language) based information exchange model that communicates price and reliability information. It allows customers to evaluate hourly prices and provide demand response in an automated fashion to minimize electricity costs. This document shows how OpenADR can support MHP and facilitate price responsive demand for large commercial customers in New York City.

106

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

SciTech Connect

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

1994-04-07T23:59:59.000Z

107

Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification  

E-Print Network (OSTI)

anticipated future growth in imported natural gas, reducing natural gas prices may well enhance social welfareEasing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply on the findings of a recent study that I helped manage and conduct, a study titled "Easing the Natural Gas Crisis

108

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

E-Print Network (OSTI)

ahead Wholesale Market Electricity Prices: Case Study of RTPahead Wholesale Market Electricity Prices: Case Study of RTPElectricity Prices

2004-01-01T23:59:59.000Z

109

Customer Response to Electricity Prices: Information to Support Wholesale Price Forecasting and Market Analysis  

Science Conference Proceedings (OSTI)

Understanding customer response to electricity price changes is critical to profitably managing a retail business, designing efficient wholesale power markets, and forecasting power prices for valuation of long-lived generating assets. This report packages the collective results of dozens of price response studies for use by forward price forecasters and power market analysts in forecasting loads, revenues, and the benefits of time-varying prices more accurately. In specific, the report describes key mea...

2001-11-30T23:59:59.000Z

110

Electricity prices and power derivatives. - Evidence from the Nordic Power Exchange.  

E-Print Network (OSTI)

This paper examines the importance of the regular patterns in the behavior of electricity prices, and its implications for the purposes of derivative pricing. We analyze the Nordic Power Exchange's spot, futures, and forward prices. We conclude that the seasonal systematic pattern throughout the year, in particular, is of crucial importance in explaining the shape of the futures/forward curve. Moreover, in the context of the one factor models analyzed in this paper, actual futures and forward prices are best explained by a sinusoidal function in order to capture the seasonal behavior directly implied by spot electricity prices. 1 Respectively, Dpto. Economa Financiera y Matemtica, Universidad de Valencia, Avda. de los Naranjos s/n, 46022-Valencia, Spain, and The Anderson School at UCLA, Box 951481, Los Angeles, CA 90095-1481, USA. We are grateful to Felipe Aguerrevere, M. Dolores Furi, Javier Gmez Biscarri, and Vicente Meneu for helpful comments. This paper was completed while...

Julio J. Lucia; Eduardo S. Schwartz

2000-01-01T23:59:59.000Z

111

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

SciTech Connect

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

Bolinger, Mark A.; Wiser, Ryan H.

2010-01-04T23:59:59.000Z

112

Wholesale electricity prices are lower during the first half of ...  

U.S. Energy Information Administration (EIA)

A combination of natural gas prices at 10-year lows and the warmest winter on record led to lower on-peak wholesale electricity prices so far in 2012.

113

Table 14b. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

b. Average Electricity Prices, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars, cents per kilowatt-hour) 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002...

114

Table 14b. Average Electricity Prices, Projected vs. Actual  

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

b. Average Electricity Prices, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars, cents per kilowatt-hour)" ,1993,1994,1995,1996,1997,1998,1999,2000,200...

115

Table 11b. Coal Prices to Electric Generating Plants, Projected...  

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

b. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Nominal Dollars (nominal dollars per million Btu) 1993 1994 1995 1996 1997 1998 1999 2000 2001...

116

September 2000Forecasting Future Variance from Option Prices  

E-Print Network (OSTI)

Although it is widely believed that option prices provide the best possible forecasts of the future variance of the assets which underlie them, a large body of empirical evidence concludes that option prices consistently yield biased forecasts of future variance. The prevailing interpretation of these findings is that option investors may be forming unbiased forecasts of the future variance of underlying assets but that these unbiased forecasts fail to get impounded into option prices because of either (1) the difficulty of carrying out the necessary arbitrage strategies that would force the prices to their proper levels, or (2) the availability to market makers of lucrative alternative strategies in which they simply profit from the large bid-ask spreads in the options markets. This interpretation has significant consequences for nearly the entire range of option pricing research, since it implies that non-continuous trading, bid-ask spreads, and other market imperfections substantially influence option prices. This implication is important, both because incorporating these types of market imperfections into option pricing models is much more difficult than, for example, altering the dynamics of the underlying asset and also because it suggests that researchers cannot learn about option investor expectations by filtering option

Allen M. Poteshman; Mark R. Manfredo; Allen M. Poteshman; Allen M. Poteshman; Champaign Helpful; Jegadeesh Narasimhan

2000-01-01T23:59:59.000Z

117

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Appendix A.1 Natural Gas Price Data for Futures Market andSTEO Error A.1 Natural Gas Price Data for Futures Market andforecasts for natural gas prices as reported by the Energy

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

2005-01-01T23:59:59.000Z

118

Price-elastic demand in deregulated electricity markets  

SciTech Connect

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

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

119

Price-elastic demand in deregulated electricity markets  

SciTech Connect

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

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

120

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

E-Print Network (OSTI)

(DOE) defines demand response as "changes in electric usage by end-use customers from their normalHOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY A SURVEY OF SEVENTEEN PRICING EXPERIMENTS response in electricity markets. One of the best ways to let that happen is to let customers see

Note: This page contains sample records for the topic "future electricity price" 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

Noise Traders, Market Sentiment, and Futures Price Behavior by  

E-Print Network (OSTI)

The noise trader sentiment model of De Long, Shleifer, Summers, and Waldmann (1990a) is applied to futures markets. The theoretical results predict that overly optimistic (pessimistic) noise traders result in market prices that are greater (less) than fundamental value. Thus, returns can be predicted using the level of noise trader sentiment. The null rational expectations hypothesis is tested against the noise trader alternative using a commercial market sentiment index as a proxy for noise trader sentiment. Fama-MacBeth cross-sectional regressions test if noise traders create a systematic bias in futures prices. The time-series predictability of futures returns using known sentiment levels is tested in a Cumby-Modest market timing framework and a more general causality specification. The empirical results lead to the following conclusions. First, there is no evidence that noise trader sentiment creates a systematic bias in futures prices. Second, predictable market returns using noise trader sentiment is not characteristic of futures markets in general. Third, futures market returns at weekly intervals are characterized by low-order positive autocorrelation with relatively small autoregressive parameters. In those instances where there is evidence of noise trader effects, it is at best limited to isolated markets and particular specifications. Noise Traders, Market Sentiment, and Futures Price Behavior

Dwight R. S; Scott H. Irwin; Raymond M. Leuthold; Dwight R. S; Ers Is Manager

1997-01-01T23:59:59.000Z

122

Managing electricity reliability risk through the futures markets  

SciTech Connect

In competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, often cease to exist. Typically, the burden falls to an independent system operator (ISO) to insure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, we model a spot market for electricity and futures markets for both electricity and AS. By assuming that each participant seeks to maximize its expected utility of wealth and that all markets clear, we solve for the optional quantities of electricity and AS traded in each market by all participants, as well as the corresponding market-clearing prices. We show that future prices for both electricity and AS depend on expectations of the spot price, statistical aspects of system demand, and production cost parameters. More important, our model captures the fact that electricity and AS are substitute products for the generators, implying that anticipated changes in the spot market will affect the equilibrium futures positions of both electricity and AS. We apply our model to the California electricity and AS markets to test its viability.

Siddiqui, Afzal S.

2000-10-01T23:59:59.000Z

123

Free: The Future of a Radical Price  

Science Conference Proceedings (OSTI)

The New York Times bestselling author heralds the future of business in Free. In his revolutionary bestseller, The Long Tail, Chris Anderson demonstrated how the online marketplace creates niche markets, allowing products and consumers to connect in ...

Chris Anderson

2009-07-01T23:59:59.000Z

124

Price distortions in the commodity futures markets  

E-Print Network (OSTI)

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

Helfrich, Devin B

2012-01-01T23:59:59.000Z

125

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

126

,"Utah Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Utah Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

127

,"Nebraska Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

128

,"Hawaii Natural Gas Price Sold to Electric Power Consumers ...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

129

,"West Virginia Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

130

,"Nevada Natural Gas Price Sold to Electric Power Consumers ...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

131

,"Kansas Natural Gas Price Sold to Electric Power Consumers ...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

132

,"Maine Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

133

,"Alaska Natural Gas Price Sold to Electric Power Consumers ...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

134

,"Mississippi Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

135

,"Rhode Island Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

136

,"Virginia Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

137

,"Arkansas Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

138

,"Connecticut Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

139

,"Minnesota Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

140

,"New Jersey Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

Note: This page contains sample records for the topic "future electricity price" 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

,"Florida Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

142

,"Montana Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

143

,"Tennessee Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

144

,"North Dakota Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

145

,"Massachusetts Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

146

,"Illinois Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

147

,"Oklahoma Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

148

,"Louisiana Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

149

,"Alabama Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

150

,"Maryland Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

151

,"Oregon Natural Gas Price Sold to Electric Power Consumers ...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

152

,"Georgia Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

153

,"North Carolina Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

154

,"Arizona Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

155

,"Kentucky Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

156

,"Delaware Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

157

,"Wyoming Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

158

,"New York Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

159

,"Iowa Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

160

,"New Hampshire Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

Note: This page contains sample records for the topic "future electricity price" 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

,"Missouri Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

162

,"Washington Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

163

,"Indiana Natural Gas Price Sold to Electric Power Consumers...  

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

Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet Name","Description"," Of...

164

,"California Natural Gas Price Sold to Electric Power Consumers...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","California Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

165

,"Ohio Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Ohio Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

166

Geothermal Power: Meeting the Challenge of Electric Price Stabilizatio...  

NLE Websites -- All DOE Office Websites (Extended Search)

Office EETD Safety Program Development Contact Us Department Contacts Media Contacts Geothermal Power: Meeting the Challenge of Electric Price Stabilization in the West Speaker(s):...

167

Summer 2011 electricity prices were mostly down compared to summer ...  

U.S. Energy Information Administration (EIA)

Except for Texas, California, and the Southwest, average on-peak, wholesale electricity prices at trading points across much of the country declined during the summer ...

168

Household Response To Dynamic Pricing Of Electricity: A Survey...  

Open Energy Info (EERE)

property. This report surveys evidence from 15 recent experiments with dynamic pricing of electricity in the United States and Canada. The report suggests conclusive evidence that...

169

,"Texas Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

,"Workbook Contents" ,"Texas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" ,"Click worksheet name or tab at bottom for data" ,"Worksheet...

170

,"Michigan Natural Gas Price Sold to Electric Power Consumers...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Michigan Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

171

Natural Gas Electric Power Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated ... Gas volumes delivered for use as vehicle fuel are included in the State annual totals through 2010 but not in ...

172

,"Vermont Natural Gas Price Sold to Electric Power Consumers...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Vermont Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

173

,"Colorado Natural Gas Price Sold to Electric Power Consumers...  

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

Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Colorado Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

174

South Dakota Natural Gas Price Sold to Electric Power Consumers...  

Annual Energy Outlook 2012 (EIA)

View History: Monthly Annual Download Data (XLS File) South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet) South Dakota Natural Gas...

175

,"Texas Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

,"Worksheet Name","Description"," Of Series","Frequency","Latest Data for" ,"Data 1","Texas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

176

Seasonal Volatility in Energy Prices: Modeling Seasonality in Natural Gas and Electricity Price Volatility  

Science Conference Proceedings (OSTI)

The modeling and measurement of price uncertainty are essential prerequisites to asset valuation and risk management in electric power. Practical, realistic models must take into account the systematic time patterns exhibited by price volatility. This report uses new data and techniques to reexamine the seasonal nature of energy price volatility.

2004-12-15T23:59:59.000Z

177

Competition and Prices on the Emerging Nordic Electricity Market  

E-Print Network (OSTI)

The purpose of this paper is to quantitatively evaluate the impact on electricity prices of deregulation and free trade in the Nordic countries. The analysis is focused on the impact of increased competition on market power and the degree of monopolistic pricing. The major tool for our analysis of electricity trade and prices is a numerical multicountry electricity market model in which losses and bottlenecks in the transmission system are taken into account. Moreover both Cournot and perfect competition equilibria with and without free trade in electricity can be simulated. According to the simulation results there are significant differences between the Cournot and perfect competition equilibrium prices under autarky. When inter-country trade is allowed, however, the Cournot equilibrium prices are quite close to the equilibrium prices under perfect competition. Yet the net inter-country physical flows of electricity are small and well within existing transmission capacities.

Eirik S. Amundsen; Lars Bergman; Bo Andersson; Jel-classification D

1998-01-01T23:59:59.000Z

178

Update On The Wholesale Electricity Price Forecast & Modeling Results  

E-Print Network (OSTI)

Forecast Base Case includes § Medium Demand Forecast § Medium Natural Gas Price Forecast § Federal CO2 Rathdrum Power LLC-ID 4) CO2 Emissions - 2009 Selected Natural Gas Plants Plant level, emission percentage § Significantly lower electricity prices than 6th Plan Forecast, due to lower demand, lower gas prices, deferred

179

Dynamic pricing for residential electric customers: a ratepayer advocate's perspective  

SciTech Connect

New Jersey's Rate Counsel urges that the consideration of alternative pricing mechanisms aimed at encouraging a reduction or shift in residential electricity usage include recognition of the needs and wishes of consumers. Without consumer buy-in, any such pricing mechanisms will fail. To achieve the desired goals, customers must be able to understand and react to the pricing signals. (author)

Brand, Stefanie A.

2010-07-15T23:59:59.000Z

180

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect

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

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEX FuturesPrices  

DOE Green Energy (OSTI)

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

Bolinger, Mark; Wiser, Ryan

2005-12-19T23:59:59.000Z

182

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

Science Conference Proceedings (OSTI)

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

Bolinger, Mark; Wiser, Ryan

2006-12-06T23:59:59.000Z

183

Variability in Automated Responses of Commercial Buildings and Industrial Facilities to Dynamic Electricity Prices  

E-Print Network (OSTI)

and Industrial Facilities to Dynamic Electricity Pricesand Industrial Facilities to Dynamic Electricity Prices

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

184

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

E-Print Network (OSTI)

of-Use Prices and Electricity Demand: Allowing for Selectionthe theory of customer electricity demand and the specificfor in evaluating electricity demand and price response. Hot

2005-01-01T23:59:59.000Z

185

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

E-Print Network (OSTI)

Run E?ects of Real-Time Electricity Pricing, CSEM WP-133 (Severin. Time-Varying Retail Electricity Prices: Theoryand Practice, Electricity Restructuring: Choices and

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

186

Electricity Price Curve Modeling and Forecasting by Manifold Learning  

E-Print Network (OSTI)

This paper proposes a novel nonparametric approach for the modeling and analysis of electricity price curves by applying the manifold learning methodologylocally linear embedding (LLE). The prediction method based on manifold learning and reconstruction is employed to make short-term and mediumterm price forecasts. Our method not only performs accurately in forecasting one-day-ahead prices, but also has a great advantage in predicting one-week-ahead and one-month-ahead prices over other methods. The forecast accuracy is demonstrated by numerical results using historical price data taken from the Eastern U.S. electric power markets.

Jie Chen; Shi-Jie Deng; Xiaoming Huo

2008-01-01T23:59:59.000Z

187

Why did British electricity prices fall after 1998?  

E-Print Network (OSTI)

In an attempt to reduce high electricity prices in England and Wales the government has reduced concentration among generators and introduced New Electricity Trading Arrangements (NETA). Econometric analysis on monthly ...

Evans, Joanne

2003-01-01T23:59:59.000Z

188

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

SciTech Connect

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

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

189

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

DOE Green Energy (OSTI)

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

Bolinger, Mark; Wiser, Ryan

2004-12-13T23:59:59.000Z

190

Composition of Electricity Generation Portfolios, Pivotal Dynamics, and Market Prices  

Science Conference Proceedings (OSTI)

We use simulations to study how the diversification of electricity generation portfolios influences wholesale prices. We find that the relationship between technological diversification and market prices is mediated by the supply-to-demand ratio. In ... Keywords: electricity, market power, simulations, technology diversification

Albert Banal-Estaol; Augusto Ruprez Micola

2009-11-01T23:59:59.000Z

191

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

E-Print Network (OSTI)

Sixth Northwest Conservation and Electric Power Plan Appendix A: Fuel Price Forecast Introduction................................................................................................................................. 3 Price Forecasts............................................................................................................................... 12 Oil Price Forecast Range

192

Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony  

E-Print Network (OSTI)

concerns about natural gas prices and the findings reportedACEEE). 2003. Natural Gas Price Effects of Energy EfficiencyGas Crisis: Reducing Natural Gas Prices Through Electricity

Wiser, Ryan

2005-01-01T23:59:59.000Z

193

Dynamic interactions between electricity prices and the regional economy  

E-Print Network (OSTI)

In this thesis we study characterize the dynamic relationships among two electricity price variables (residential and commercial) and six regional economic variables in order to examine each individual variable??s role in regional economic activity. We also answer the question ??Do electricity prices have impact on regional economic variables??? We use two statistical techniques as engines of analysis. First, we use directed acyclic graphs to discover how surprises (innovations) in prices from each variable are communicated to other variables in contemporaneous time. Second, we use time series methods to capture regularities in time lags among the series. Yearly time series data on two electricity prices and six regional economic variables for Montgomery County (Texas) are studied using time series methods. Directed Acyclic Graphs (DAGs) are used to impose restrictions on the Vector Auto Regression model (VAR). Using Innovation Accounting Analysis of the estimated Vector Auto Regression (VAR) model we unravel the dynamic relationships between the eight variables. We conclude that rising electricity prices have a negative impact on allregional economic variables. The commercial average electricity prices lead residential average electricity prices in the time frame we studied (1969-2000). Rising residential electricity prices also have a positive impact on income derived from transfer payments.

Bethapudi, Daniel Naveen

2003-05-01T23:59:59.000Z

194

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

index.html. Appendix A.1 Natural Gas Price Data for FuturesError STEO Error A.1 Natural Gas Price Data for Futuresof forecasts for natural gas prices as reported by the

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

2005-01-01T23:59:59.000Z

195

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

Expected annual electricity bill savings for various PPA price options Expected annual electricity bill savings for various PPA price options Jump to: navigation, search Impact of Utility Rates on PV Economics Bill savings tables (main section): When evaluating PV systems under a PPA, it is important to look at the net effect on the building's annual electricity expense. If the solar value is greater than the PPA price, then the building will realize a net savings on annual energy expenses. If the solar value is less than the PPA price, then the building will realize a net loss. It is useful to understand how annual electricity expenses will be impacted at various PPA price levels. Bill Savings at PPA price of $0.04/kWhr Bill Savings at PPA price of $0.08/kWhr Bill Savings at PPA price of $0.12/kWhr Retrieved from "http://en.openei.org/w/index.php?title=Expected_annual_electricity_bill_savings_for_various_PPA_price_options&oldid=515464"

196

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

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongResponse to Electricity Real-Time Prices: Short Run and LongResponse to Real Time Electricity Prices, Unpublished

2005-01-01T23:59:59.000Z

197

Table A44. Average Prices of Purchased Electricity and Steam  

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

4. Average Prices of Purchased Electricity and Steam" 4. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam" ," (kWh)",," (million Btu)" ,,,,,"RSE" ,"Utility","Nonutility","Utility","Nonutility","Row" "Economic Characteristics(a)","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

198

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

Science Conference Proceedings (OSTI)

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

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

2008-01-07T23:59:59.000Z

199

Fossil Fuel Prices to Electric Utilities  

U.S. Energy Information Administration (EIA)

Natural gas for power generation is projected to yield its apparent average price advantage over residual fuel oil by the fourth quarter of this year.

200

Does EIA have electricity prices by state? - FAQ - U.S. Energy ...  

U.S. Energy Information Administration (EIA)

Does EIA have electricity prices by state? Yes, EIA publishes monthly and year-to-date (preliminary) average retail prices of electricity to ultimate customers by end ...

Note: This page contains sample records for the topic "future electricity price" 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

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

SciTech Connect

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

Bolinger, Mark; Wiser, Ryan

2009-01-28T23:59:59.000Z

202

RDI forecasts oil price increase impact on electric consumers  

SciTech Connect

According to a publication by Resource Data International, Inc. (RDI), Boulder, Colorado, the current oil price increases will effect electricity consumers nationwide. While the direct use of fuel oil and natural gas as boiler fuels is expected to decline with rising prices, the cost of alternative energy sources including coal, nuclear, and hydro are also expected to rise, RDI said.

Not Available

1990-10-25T23:59:59.000Z

203

Energy Department Releases Updated eGallon Prices as Electric...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

a gallon of gasoline. "More and more Americans are taking advantage of the low and stable price of electricity as a transportation fuel, and that's very good news for our economy...

204

2012 Brief: Average wholesale electricity prices down compared to ...  

U.S. Energy Information Administration (EIA)

Average, on-peak (weekdays from 7:00 a.m. to 11:00 p.m.) day-ahead electricity prices were lower across the entire United States in 2012 compared to 2011.

205

Wholesale electricity prices rose across the United States - Today ...  

U.S. Energy Information Administration (EIA)

Average on-peak, day-ahead wholesale electricity prices rose in every region of the Lower 48 states in first-half 2013 compared to first-half 2012.

206

2011 Brief: Wholesale electricity prices mostly lower in 2011 ...  

U.S. Energy Information Administration (EIA)

Average, on-peak day-ahead electricity prices were lower across most of the United States in 2011. The largest exception was in the ERCOT region (most of Texas) where ...

207

Residential Response to Critical Peak Pricing of Electricity  

NLE Websites -- All DOE Office Websites (Extended Search)

Residential Response to Critical Peak Pricing of Electricity Speaker(s): Karen Herter Date: June 30, 2005 - 12:00pm Location: Bldg. 90 A recent California study collected detailed...

208

,"Wisconsin Natural Gas Price Sold to Electric Power Consumers...  

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

,,"(202) 586-8800",,,"9302013 9:16:03 AM" "Back to Contents","Data 1: Wisconsin Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

209

,"Pennsylvania Natural Gas Price Sold to Electric Power Consumers...  

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

586-8800",,,"9302013 9:15:55 AM" "Back to Contents","Data 1: Pennsylvania Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"...

210

,"Pennsylvania Natural Gas Price Sold to Electric Power Consumers...  

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

586-8800",,,"9302013 9:15:56 AM" "Back to Contents","Data 1: Pennsylvania Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"...

211

,"Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars...  

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

,,"(202) 586-8800",,,"172014 2:53:13 PM" "Back to Contents","Data 1: Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"...

212

,"California Natural Gas Price Sold to Electric Power Consumers...  

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

,,"(202) 586-8800",,,"10312013 3:28:01 PM" "Back to Contents","Data 1: California Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

213

File:Impacts of Regional Electricity Prices and Building Type...  

Open Energy Info (EERE)

History Share this page on Facebook icon Twitter icon File:Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial PV Systems NREL 2012.pdf...

214

Transmission Pricing Issues for Electricity Generation From Renewable Resources  

Reports and Publications (EIA)

This article discusses how the resolution of transmission pricing issues which have arisen under the Federal Energy Regulatory Commission's (FERC) open access environment may affect the prospects for renewable-based electricity.

Information Center

1999-02-01T23:59:59.000Z

215

,"New Mexico Natural Gas Price Sold to Electric Power Consumers...  

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

,,"(202) 586-8800",,,"10312013 3:28:06 PM" "Back to Contents","Data 1: New Mexico Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"...

216

Renewable Electricity Futures Study. Executive Summary  

Science Conference Proceedings (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Mai, T.; Sandor, D.; Wiser, R.; Schneider, T.

2012-12-01T23:59:59.000Z

217

Real-time pricing -- supplanted by Price-risk derivatives?  

Science Conference Proceedings (OSTI)

Future trends in pricing options for wholesale electrical generation are discussed. Specifically, the effect of price derivatives on electricity consumption are examined. Economic analyses are presented for customer demand in real-time pricing scenarios with and without a price derivative hedge. It is determined that consumption will be curtailed even when price caps have been purchased. Consumption behavior is also analyzed to determine the effect of different price caps; regardless of price, consumption is curtailed in response to price.

O`Sheasy, M.

1997-03-01T23:59:59.000Z

218

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 of power varies throughout a typical day; power is usually low cost during off-peak periods in the night but it is high cost during a hot July afternoon. Economists have argued for several decades that consumers should pay a price that varies with the true social cost of power. However, the vast majority of consumers pay a fixed price whether they use power at midnight or noon. This can create a host of economic inefficiencies. Fortunately, this is beginning to change. In many states, including Texas, large commercial and industrial users of electricity pay prices that reflect the social cost of power at the time of consumption. This pricing mechanism is called real-time pricing (RTP) in electricity markets. I have access to a unique, new dataset of virtually all 8000 commercial and industrial users in Texas that includes information on both whether they pay real-time prices and their hourly consumption for one year. First, I econometrically iv estimate the types of commercial and industrial firms that are likely to sign up for time-varying prices. Second, I test whether the customers on real-time prices reduce demand substantially in response to higher prices. I find that customers with greater total hourly consumption are more likely to be on real-time pricing. Customers with more peaky? load profiles are less likely to be on real-time pricing. Customers in south and west Texas have a greater probability of being on RTP than customers in Houston. I also study whether customers on RTP decrease consumption on hot summer days when electricity is scare. These results have important implications for the design of both deregulated electricity markets and policies that seek to increase the amount of electricity generated with renewable sources of energy.

Fontana, Michelle

2011-05-01T23:59:59.000Z

219

Geothermal Power: Meeting the Challenge of Electric Price Stabilization in  

NLE Websites -- All DOE Office Websites (Extended Search)

Geothermal Power: Meeting the Challenge of Electric Price Stabilization in Geothermal Power: Meeting the Challenge of Electric Price Stabilization in the West Speaker(s): Jon Wellinghoff Steve Munson Date: January 30, 2001 - 12:00pm Location: Bldg 90 Seminar Host/Point of Contact: Julie Osborn Existing data indicates that extensive geothermal resources of power production grade exist throughout the western United States. These resources may be capable of producing clean, reliable electric power in sufficient quantities to act as a hedge against the price volatility of gas-fired electric generation. The challenge facing energy policy makers is developing effective strategies and appropriate incentives to assist developers in moving competitive quantities of geothermal electric capacity into the western power marketplace. Issues related to achieving this goal

220

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

E-Print Network (OSTI)

approach to evaluating price risk would be to use suchthe base-case natural gas price forecast, but to alsorange of different plausible price projections, using either

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

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

E-Print Network (OSTI)

this hybrid NYMEX-EIA gas price projection still does notcomparison with fixed- price renewable generation (becauseonly a portion of the gas price forecast through 2010

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

222

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

E-Print Network (OSTI)

Comparison of AEO 2006 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

223

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

E-Print Network (OSTI)

Comparison of AEO 2008 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2008-01-01T23:59:59.000Z

224

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

E-Print Network (OSTI)

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

225

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

E-Print Network (OSTI)

Comparison of AEO 2009 Natural Gas Price Forecast to NYMEXcase long-term natural gas price forecasts from theto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2009-01-01T23:59:59.000Z

226

Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony  

E-Print Network (OSTI)

Natural Gas Prices Through Electricity Supply Diversification Testimony Prepared for a Hearing on Power Generation

Wiser, Ryan

2005-01-01T23:59:59.000Z

227

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

The electricity pricing structure in Texas has changed after deregulation (January 2002). The Energy Systems Laboratory has served as a technical consultant on electricity purchases to several universities in the Texas A&M University System since 2001. In the fiscal year of 2006 Stephen F. Austin State University joined with the TAMU campuses and agencies, and there are now 183 accounts in the Electric Reliability Council of Texas (ERCOT) North, Northeast, South, West, and Houston areas of Texas. From the 183 accounts, 9 Interval Data Recorder (IDR) accounts consume 92% of the total load. The objective of this research is to find the most economic price structure to purchase electricity for the Texas A&M System and Stephen F. Austin University by analyzing various pricing scenarios: the spot market, forward contracts, take or pay contracts and on/off season (tiered) contracts. The analysis was based on the 9 IDR accounts. The prices for the spot market were given by ERCOT and the other prices by Sempra. The energy charges were calculated every 15 minute using the real historical consumption of each facility and the aggregated load of all facilities. The result for the analysis was given for each institution separately, as well as for the aggregated load of all facilities. The results of the analysis showed that the tiered price was the most economical structure to purchase electricity for each individual university and for the total aggregated load of all 9 IDR accounts. From March 1, 2005 to February 28, 2006, purchasing electricity on the tiered price would have cost $13,810,560. The forward contract, that is, purchasing electricity on a fixed rate, was the next cheapest with an energy cost of $14,266,870 from March 1, 2005 to February 28, 2006, 3% higher than purchasing electricity at the tiered price. The most expensive method to purchase electricity would have been the spot market. Its energy costs would have been approximately $18,171,610, 36% and 31% higher, respectively, than purchasing electricity at the tiered price and the fixed rate.

Afanador Delgado, Catalina

2006-08-01T23:59:59.000Z

228

A study on real-time pricing electric tariffs  

Science Conference Proceedings (OSTI)

With deregulation in the electric industry, customers have new opportunities to reduce their electricity cost, one of which consists of using real-time pricing (RTP) tariffs. The authors surveyed electric utilities in the country to investigate how these tariffs are presently implemented to help potential customers understand RTP tariffs. The survey found that the most common type of RTP tariff is a two-part tariff. It consists of a customer baseline load (CBL) charge and an energy charge (or credit) based on usage above (or below) the CBL charged at hourly prices. This type of tariff is explained using Oklahoma Gas and Electric (OG and E)`s day-ahead-pricing (DAP) tariff and calculation examples. This article also investigates the effect of customer flexibility on the charges under the DAP tariff by comparing three different types of customer response.

Mont, J.A.; Turner, W.C. [Oklahoma State Univ., Stillwater, OK (United States). School of Industrial Engineering and Management

1999-10-01T23:59:59.000Z

229

The Market Price of Risk: Implications for Electricity Price Forecasting, Asset Valuation and Portfolio Risk Management  

Science Conference Proceedings (OSTI)

Forward Price Forecasting for Power Market Valuation (TR-111860, 1998) presented the basic theory on the market price of risk. However, continued development of the power market has led to additional complexities when applying the concept to electric power. This current report updates that earlier report based on subsequent development of the theory by EPRI and others and reflects two additional years of market data.

2000-12-07T23:59:59.000Z

230

Natural Gas Futures Prices (NYMEX) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

The natural gas liquids (NGL) composite price is derived from daily Bloomberg spot price data for natural gas liquids at Mont Belvieu, Texas, ...

231

Expected Future Value Decomposition Based Bid Price Generation ...  

E-Print Network (OSTI)

EFV curves are used to define bid prices on bundles of resources directly, ... bid price is generated for each bundle, and a request to purchase the bundle is...

232

NREL: Energy Analysis - Renewable Electricity Futures Study  

NLE Websites -- All DOE Office Websites (Extended Search)

Renewable Electricity Futures Study Renewable Electricity Futures Study RE Futures Visualizations These visualizations are based on RE Futures modeling and represent the transformation of the U.S. electric system to a high renewable system from 2010 to 2050 and the hourly operation and transmission flow of that system in 2050. Transformation of the Electric Sector (Compare to Baseline Projections) Screen capture of a dynamic map that is animated to display the transformation of the electric sector in 2010 through 2050 Hourly Operation in 2050 (Compare to Baseline Projections) Screen capture of a dynamic map that is animated to display hourly operation in 2010 through 2050 Power Flow in 2050 (Compare to Baseline Projections) Screen capture of a dynamic map that is animated to display power flow in 2010 through 2050

233

Joint Modelling of Gas and Electricity spot prices  

E-Print Network (OSTI)

The recent liberalization of the electricity and gas markets has resulted in the growth of energy exchanges and modelling problems. In this paper, we modelize jointly gas and electricity spot prices using a mean-reverting model which fits the correlations structures for the two commodities. The dynamics are based on Ornstein processes with parameterized diffusion coefficients. Moreover, using the empirical distributions of the spot prices, we derive a class of such parameterized diffusions which captures the most salient statistical properties: stationarity, spikes and heavy-tailed distributions. The associated calibration procedure is based on standard and efficient statistical tools. We calibrate the model on French for electricity and on UK market for gas, and then simulate some trajectories which reproduce well the observed prices behavior. Finally, we illustrate the importance of the correlation structure and of the presence of spikes by measuring the risk on a power plant portfolio.

Frikha, Noufel

2009-01-01T23:59:59.000Z

234

U.S. Natural Gas Electric Power Price (Dollars per Thousand Cubic ...  

U.S. Energy Information Administration (EIA)

Release Date: 9/30/2013: Next Release Date: 10/31/2013: Referring Pages: Natural Gas Electric Power Price ; U.S. Natural Gas Prices

235

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

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facilitys electricity use highest? ( CHECKthe next days hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

236

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresthe daily history of the average 5-year natural gas futuresnatural gas prices. Figure 1 shows the daily price history

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

237

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

E-Print Network (OSTI)

Daily price history of 1st-nearby NYMEX natural gas futuresthe daily history of the average 5-year natural gas futuresnatural gas prices. Figure 1 shows the daily price history

Bolinger, Mark

2009-01-01T23:59:59.000Z

238

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

E-Print Network (OSTI)

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

Bolinger, Mark; Wiser, Ryan

2005-01-01T23:59:59.000Z

239

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

E-Print Network (OSTI)

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

Bolinger, Mark

2009-01-01T23:59:59.000Z

240

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

E-Print Network (OSTI)

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

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

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

E-Print Network (OSTI)

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

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

242

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

E-Print Network (OSTI)

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

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

243

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

E-Print Network (OSTI)

renewables can provide price certainty over longer terms. In6 This additiona l level of price discovery in longer-datedreplicate the long-term price stability that renewables can

Bolinger, Mark

2008-01-01T23:59:59.000Z

244

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

E-Print Network (OSTI)

to the EIAs natural gas price forecasts in AEO 2004 and AEOcost comparisons of fixed-price renewable generationwith variable price gas-fired generation that are based

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

245

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

E-Print Network (OSTI)

revisions to the EIAs natural gas price forecasts in AEOon the AEO 2005 natural gas price forecasts will likely onceComparison of AEO 2005 Natural Gas Price Forecast to NYMEX

Bolinger, Mark; Wiser, Ryan

2004-01-01T23:59:59.000Z

246

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

E-Print Network (OSTI)

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

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

247

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

E-Print Network (OSTI)

of AEO 2008 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEOto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2008-01-01T23:59:59.000Z

248

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

E-Print Network (OSTI)

of AEO 2007 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEOto contemporaneous natural gas prices that can be locked in

Bolinger, Mark; Wiser, Ryan

2006-01-01T23:59:59.000Z

249

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

E-Print Network (OSTI)

of AEO 2009 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEOto contemporaneous natural gas prices that can be locked in

Bolinger, Mark

2009-01-01T23:59:59.000Z

250

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

E-Print Network (OSTI)

the base-case natural gas price forecast, but to alsoof AEO 2010 Natural Gas Price Forecast to NYMEX Futurescase long-term natural gas price forecasts from the AEO

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

251

Electricity pricing for conservation and load shifting  

Science Conference Proceedings (OSTI)

The electricity industry is facing the challenge of increasing costs of reliably meeting demand growth and fully complying with legislative renewable portfolio standards and greenhouse gas reduction targets. However, an electric utility's existing tariffs often don't have rates that increase with consumption volume or vary by time of use, thus not fully exploiting the potential benefits from customer conservation and load shifting. (author)

Orans, Ren; Woo, C.K.; Horii, Brian; Chait, Michele; DeBenedictis, Andrew

2010-04-15T23:59:59.000Z

252

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

E-Print Network (OSTI)

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

Bolinger, Mark

2008-01-01T23:59:59.000Z

253

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

E-Print Network (OSTI)

to consider coal, uranium, and other fuel prices. This workcoal-fired or nuclear generation, for example), for several reasons: (1) price

Bolinger, Mark

2009-01-01T23:59:59.000Z

254

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

E-Print Network (OSTI)

to consider coal, uranium, and other fuel prices. Finally,coal-fired or nuclear generation, for example), for several reasons: (1) price

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

255

The price of electricity from private power producers  

Science Conference Proceedings (OSTI)

The long-term wholesale electricity market is becoming increasingly competitive. Bidding for power contracts has become a dominant form of competition in this sector. The prices which emerge from this process have not been documented and compared in a systematic framework. This paper introduces a method to make such comparisons and illustrates it on a small sample of projects. This results show a wide range of prices for what is essentially the same technology, gas-fired combined cycle generation. The price range seems greater than what could be explained by transmission cost differences between high and low cost regions. For the smaller sample of coal-fired projects, price variation is substantially less. Further data collection and analysis should be able to help isolate more clearly what market or cost factors are responsible for the observed variation.

Kahn, E.; Milne, A.; Kito, S.

1993-10-01T23:59:59.000Z

256

Price squeezes in electric power: The new Battle of Concord  

SciTech Connect

The US Court of Appeals opinion in Town of Concord v. Boston Edison offers a vigorous statement of the position that in a regulated market, what may appear to be a price squeeze almost certainly cannot harm the competitive process and therefore should not be held to violate the antitrust laws. While not disputing the possibility of self-serving claims of price squeezes, this article shows that truly anticompetitive price squeezes may indeed occur in the electric power industry and cannot be so readily dismissed. This analysis begins with a brief factual and economic background on price squeezes, then addresses arguments made in Concord and elsewhere seeking to disprove their possibility, and demonstrate that sound economics and good policy require a more balanced approach.

Kwoka, J.E. Jr. (George Washington Univ., Washington, DC (United States))

1992-06-01T23:59:59.000Z

257

Natural Gas Citygate Price  

Gasoline and Diesel Fuel Update (EIA)

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 1231 Reserves...

258

Applying Psychology to Economic Policy Design: Using Incentive Preserving Rebates to Increase Acceptance of Critical Peak Electricity Pricing  

E-Print Network (OSTI)

Illinois residences real time prices based on the hourlyhours. Real time electricity pricing sets hourly pricesGoing to real time pricing that sets a price of power each

Letzler, Robert

2007-01-01T23:59:59.000Z

259

Managing electricity reliability risk through the futures markets  

E-Print Network (OSTI)

negatively with the electricity spot price. Consequently,is incurred only for actual electricity generation, i.e. ,to produce electricity sold as energy, and to operate any AS

Siddiqui, Afzal S.

2000-01-01T23:59:59.000Z

260

Recently, S&P 500 Index and WTI crude oil futures price movements ...  

U.S. Energy Information Administration (EIA)

Greenhouse gas data, voluntary report- ing, electric power plant emissions. ... One notable exception to this recent price correlation came on August 9.

Note: This page contains sample records for the topic "future electricity price" 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

Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices  

E-Print Network (OSTI)

1 Optimal Multi-scale Capacity Planning under Hourly Varying Electricity Prices Sumit Mitra Ignacio;2 Motivation of this work · Deregulation of the electricity markets caused electricity prices to be highly? (retrofit) · Challenge: Multi-scale nature of the problem! Hourly varying electricity prices vs. 10-15 years

Grossmann, Ignacio E.

262

SOLAR ENERGY AND OUR ELECTRICITY FUTURE  

E-Print Network (OSTI)

SOLAR ENERGY AND OUR ELECTRICITY FUTURE Sandia is a multiprogram laboratory operated by Sandia Solar Power (CSP) #12;Solar Energy Fun Facts More energy from sunlight strikes the Earth in one hour Solar energy is the only long-term option capable of meeting the energy (electricity and transportation

263

Bilevel optimization applied to strategic pricing in competitive electricity markets  

Science Conference Proceedings (OSTI)

In this paper, we present a bilevel programming formulation for the problem of strategic bidding under uncertainty in a wholesale energy market (WEM), where the economic remuneration of each generator depends on the ability of its own management to ... Keywords: Bilevel programming, Electricity pool market, Mathematical program with equilibrium constraints, Strategic pricing

M. Fampa; L. A. Barroso; D. Candal; L. Simonetti

2008-03-01T23:59:59.000Z

264

Renewable Electricity Futures Study. Volume 1: Exploration of High-Penetration Renewable Electricity Futures  

DOE Green Energy (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Mai, T.; Wiser, R.; Sandor, D.; Brinkman, G.; Heath, G.; Denholm, P.; Hostick, D.J.; Darghouth, N.; Schlosser, A.; Strzepek, K.

2012-06-01T23:59:59.000Z

265

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

Energy and Demand Prices . . . . . . . . . . . . . . . . . . . . . .US DOE 1999. Marginal Energy Prices Report U.S. Departmentmarginal price Marginal energy price in cper kwh Marginal

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

2008-01-01T23:59:59.000Z

266

Oil futures price curve has steepened over the past six months ...  

U.S. Energy Information Administration (EIA)

Crude oil futures contracts allow crude to be bought and sold for delivery at specific dates in the future, meaning market participants can lock in a price today for ...

267

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

Utility regulators frequently attempt to use tariff structures to pursue both distributional and efficiency goals. Efficiency necessitates setting prices as close to marginal costs as possible while still allowing the firm to cover its costs. The common distributional goal is to protect low-income customers from high prices. Perhaps nowhere is the conflict between these goals greater than in the use of increasing-block residential utility pricing, in which the marginal price to the customer increases as the customers usage rises. Since the 2000-01 California electricity crisis, the state has adopted some of the most steeply increasing-block tariffs in electric utility history, but the distributional and efficiency effects have not been analyzed in detail. Using a novel approach for matching customer bill data with census data on area income distributions, I derive estimates of the income redistribution effected by the increasing-block tariffs used by California regulated electric utilities. I find that the rate structure does redistribute income to lower-income groups, but that the effect is fairly modest, particularly compared to a means-tested program also in use. While the distributional impact of these tariffs do not seem to be large, the efficiency costs may not be great either. Examining the distribution of customer demand

Severin Borenstein

2008-01-01T23:59:59.000Z

268

Pricing Carbon for Electricity Generation: National and International Dimensions  

E-Print Network (OSTI)

(CO2 equivalent). This is equivalent to specifying a stock of GHGs, or a quantity limit on the amount of fossil fuel that can be burned over the next 100-200 years. The argument for choosing this quantity target, loosely stated, is that mitigation... treatment), but it is the combination of long timescales and policy risk that is damaging, - While fossil-fuel generation is at the margin and setting the electricity price, conventional generators will be largely hedged against both fuel and carbon price...

Grubb, Michael; Newbery, David

269

Concept for Management of the Future Electricity System (Smart...  

Open Energy Info (EERE)

Concept for Management of the Future Electricity System (Smart Grid Project) Jump to: navigation, search Project Name Concept for Management of the Future Electricity System...

270

Price Forecasting and Optimal Operation of Wholesale Customers in a Competitive Electricity Market.  

E-Print Network (OSTI)

??This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning (more)

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

271

U.S. Natural Gas Electric Power Price (Dollars per Thousand ...  

U.S. Energy Information Administration (EIA)

U.S. Natural Gas Electric Power Price (Dollars per Thousand Cubic Feet) Decade Year-0 Year-1 ... U.S. Natural Gas Prices; Natural Gas Electric Power P ...

272

Electricity prices in a competitive environment: Marginal cost pricing of generation services and financial status of electric utilities. A preliminary analysis through 2015  

SciTech Connect

The emergence of competitive markets for electricity generation services is changing the way that electricity is and will be priced in the United States. This report presents the results of an analysis that focuses on two questions: (1) How are prices for competitive generation services likely to differ from regulated prices if competitive prices are based on marginal costs rather than regulated {open_quotes}cost-of-service{close_quotes} pricing? (2) What impacts will the competitive pricing of generation services (based on marginal costs) have on electricity consumption patterns, production costs, and the financial integrity patterns, production costs, and the financial integrity of electricity suppliers? This study is not intended to be a cost-benefit analysis of wholesale or retail competition, nor does this report include an analysis of the macroeconomic impacts of competitive electricity prices.

1997-08-01T23:59:59.000Z

273

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

E-Print Network (OSTI)

of the monthly electricity bill), (3) the pricing methodof the monthly SC-3A electricity bill (@ X%) Hedge PricePrice @ Cost (as % of electricity bill) Covered Hours: Hedge

2004-01-01T23:59:59.000Z

274

International Coal Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation for Selected Countries1 Electricity Generation for Selected Countries1 U.S. Dollars per Metric Ton2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Australia NA NA NA NA NA NA NA NA NA Austria 45.70 52.67 64.47 81.28 87.52 92.75 96.24 122.10 120.10 Belgium 37.72 34.48 35.94 72.46 80.35 63.24 75.54 130.54 NA Canada 18.52 19.17 21.03 20.32 24.50 26.29 NA NA NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 31.29 31.43 31.18 47.75 57.70 54.68 70.17 118.49 NA Czech Republic3 8.05 8.52 C C C C C C C Denmark NA NA NA NA NA NA NA NA NA Finland 46.66 44.02 48.28 67.00 72.06 74.27 83.72 142.90 NA France 45.28 42.89 42.45 63.55 74.90 72.90 83.90 136.10 NA Germany 51.86 45.70 50.02 70.00 79.74 77.95 90.26 152.60 NA

275

Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony  

E-Print Network (OSTI)

Natural Gas Prices Through Electricity Supply Diversification Testimony Prepared for a Hearing on Power Generation Resource Incentives &

Wiser, Ryan

2005-01-01T23:59:59.000Z

276

An artificial neural network approach for day-ahead electricity prices forecasting  

Science Conference Proceedings (OSTI)

This paper is about the use of artificial neural networks on day-ahead electricity prices forecasting. In nowadays competitive electricity markets, good forecasting tools hedging against daily price volatility are becoming increasingly important. The ... Keywords: artificial neural networks, electricity markets, prices forecasting

Joo Catalo; Slvio Mariano; Victor Mendes; Lus Ferreira

2005-06-01T23:59:59.000Z

277

Research on Multistep Electricity Price Model with Bidirectional Regulation for Large Consumers  

Science Conference Proceedings (OSTI)

A multistep electricity price model with bidirectional regulation is proposed for large adjustable consumers in the area with abundant hydropower. In order to guide large consumers to regulate electricity consumption manners for resource utilization, ... Keywords: multistep electricity price, bidirectional regulation, large consumers, high and low water period, Monte Carlo simulation, price elasticity of demand

Xia Lei; Dong-xian Yu; Xiao-li Bai

2010-06-01T23:59:59.000Z

278

Day-ahead electricity price forecasting by a new hybrid method  

Science Conference Proceedings (OSTI)

Electricity price forecasting has become necessary for power producers and consumers in the current deregulated electricity markets. Seeking for more accurate price forecasting techniques, this paper proposes a new hybrid method based on wavelet transform ... Keywords: ARIMA, Electricity price forecasting, LSSVM, PSO, WT

Jinliang Zhang; Zhongfu Tan; Shuxia Yang

2012-11-01T23:59:59.000Z

279

From: Mark Bolinger and Ryan Wiser, Berkeley Lab (LBNL) Subject: Comparison of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices  

E-Print Network (OSTI)

of AEO 2010 Natural Gas Price Forecast to NYMEX Futures Prices Date: January 4, 2010 1. Introduction, compared the EIA's reference-case long-term natural gas price forecasts from the AEO series to contemporaneous natural gas prices that can be locked in through the forward market, with the goal of better

280

Price impacts of electric-utility DSM programs  

Science Conference Proceedings (OSTI)

As competition in the electricity industry increases, utilities (and others) worry more about the upward pressure on electricity prices that demand-side management (DSM) programs often impose. Because of these concerns, several utilities have recently reduced the scope of their DSM programs or focused these programs more on customer service and peak-demand reductions and less on improving energy efficiency. This study uses the Oak Ridge Financial Model (ORFIN) to calculate the rate impacts of DSM. The authors use ORFIN to examine the two factors that contribute to DSM`s upward pressure on prices: the cost of the programs themselves and the loss of revenue associated with fixed-cost recovery. This second factor reflects the reduction in revenues caused by the DSM-induced energy and demand savings that exceed the reduction in utility costs. This analysis examines DSM price impacts as functions of the following factors: the DSM program itself (cost, conservation load factor, geographic focus on deferral of transmission and distribution investments, and mix across customer classes); the utility`s cost and pricing structures (factors at least partly under the utility`s control, such as retail tariffs, fixed vs variable operating costs, and capital costs not related to kW or kWh growth); and external economic and regulatory factors (the level and temporal pattern of avoided energy and capacity costs; ratebasing vs expensing of DSM-program costs; shareholder incentives for DSM programs; load growth; and the rates for income, property, and revenue taxes).

Hirst, E.; Hadley, S.

1994-11-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Natural Gas Futures Prices (NYMEX) - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are based on ...

282

Natural Gas Futures Prices (NYMEX) - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are based on ...

283

An Assessment of Prices of Natural Gas Futures Contracts As  

U.S. Energy Information Administration (EIA)

generally used as a financial risk management and ... explicitly encourage this view. ... The diamond-shaped points represent the average monthly spot prices at the ...

284

Stochastic models of electricity prices and risk premia in the PJM market.  

E-Print Network (OSTI)

??With a main focus on risk premia in a US electricity market, we propose three stochastic models for electricity spot prices. Based on the proposed (more)

Xiao, Yuewen

2012-01-01T23:59:59.000Z

285

New Electricity Technologies for a Sustainable Future  

E-Print Network (OSTI)

of the twentieth century relied upon the combustion of fossil fuels initially coal and oil and now increasingly natural gas. The Brundtland Commission definition of sustainability requires that a sustainable electricity system must be able to meet current... needs without compromising the ability of future generations to meet their own needs (World Commission on Environment and Development, 1987). As such electricity systems based upon the depletion of finite fossil fuel reserves are fundamentally...

Jamasb, Tooraj; Nuttall, William J.; Pollitt, Michael G.

2006-03-14T23:59:59.000Z

286

Price risk management: Electric power vs. natural gas  

Science Conference Proceedings (OSTI)

As deregulation continues, will electricity resemble gas as a commodity, when it comes to futures markets and forward deals? Overall, yes; the signs are there. But differences will remain-in volatility, the prominence of regional factors, and the importance of shortrun engineering fundamentals. This article examines these differences and concludes that engineering and economic analyses will prove more important in the future in assessing risk in the electric power commodity market than in the gas industry.

Rose, J.; Mann, C. [ICF Kaiser International, Inc., Fairfax, VA (United States)

1996-02-01T23:59:59.000Z

287

Hedging Future Gas Price Risk with Wind Power  

E-Print Network (OSTI)

Prices: By displacing gas-fired generation, incremental wind generation reduces demand for natural gas Department Increased Renewables Penetration Displaces Natural Gas Demand Projected Gas Displacement in 2020 Energy Technologies Division · Energy Analysis Department Natural Gas Prices Are High and Volatile 0 2 4

288

1 The Price Elasticity of Supply of Renewable Electricity Generation  

E-Print Network (OSTI)

Many states have adopted policies aimed at promoting the growth of renewable electricity within their state. The most salient of these policies is a renewable portfolio standard (RPS) which mandates that retail electricity providers purchase a predetermined fraction of their electricity from renewable sources. Renewable portfolio standards are a policy tool likely to persist for many decades due to the long term goals of many state RPSs and the likely creation of a federal RPS alongside any comprehensive climate change bill. However, there is little empirical evidence about the costs of these RPS policies. I take an instrumental variables approach to estimate the long-run price elasticity of supply of renewable generation. To instrument for the price paid to renewable generators I use the phased-in implementation of RPSs over time. Using this IV strategy, my preferred estimate of the supply elasticity is 2.7. This parameter allows me to measure the costs of carbon abatement in the electricity sector and to compare those costs with the costs of a broader based policy. Using my parameter estimates, I find that a policy to reduce the CO2 emissions in the northeastern US electricity sector by 2.5 % using only an RPS would cost at least six times more than the regional cap-and-trade system (Regional Greenhouse Gas Initiative). The marginal cost of CO2 abatement is $12 using the most optimistic assumptions for an RPS compared to a marginal cost of abatement of $2 in the Regional Greenhouse Gas Initiative.

Erik Johnson; Erik Johnson

2010-01-01T23:59:59.000Z

289

What Do We Learn from the Price of Crude Oil Futures? working paper  

E-Print Network (OSTI)

Abstract: Based on a two-country, multi-period general equilibrium model of the spot and futures markets for crude oil, we show that there is no theoretical support for the common view that oil futures prices are accurate predictors of the spot price in the mean-squared prediction error (MSPE) sense; yet under certain conditions there is support for the view that oil futures prices are unbiased predictors. Our empirical analysis documents that futures-based forecasts typically are less accurate than the no-change forecast and biased, although the bias is small. Much of the MSPE is driven by the variability of the futures price about the expected spot price, as captured by the basis. Empirically, the fluctuations in the oil futures basis are larger and more persistent than fluctuations in the basis of foreign exchange futures. Within the context of our theoretical model, this anomaly can be explained by the marginal convenience yield of oil inventories. We show that increased uncertainty about future oil supply shortfalls under plausible assumptions causes the basis to decline and precautionary demand for crude oil to increase, resulting in an immediate increase in the real spot price that is not necessarily associated with an accumulation of oil inventories. Our main result is that the negative of the basis may be viewed as an index of fluctuations in the price of crude oil driven by precautionary demand for oil. An empirical analysis of this index provides independent evidence of how shifts in market expectations about future oil supply shortfalls affect the spot price of crude oil. Such expectation shifts have been difficult to quantify, yet have been shown to play an important role in explaining oil price fluctuations. Our empirical results are consistent with related evidence in the literature obtained by alternative methodologies.

Ron Alquist; Lutz Kilian

2007-01-01T23:59:59.000Z

290

Why we need to stick with uniform-price auctions in electricity markets  

Science Conference Proceedings (OSTI)

Arguments that the uniform-price auction yields electricity prices that are systematically too high are incorrect. Tampering with the spot price would cause inefficiency and raise long-term costs. The proper way to dampen the impact of spot price fluctuations is with long-term hedging. (author)

Cramton, Peter; Stoft, Steven

2007-01-15T23:59:59.000Z

291

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

E-Print Network (OSTI)

2012. This is because high natural gas prices result in a shift to wind and coal generation. Figure 2 the Aurora forecast was based on medium trend natural gas prices and average water conditions. The spike in electric prices during the fall and winter of 2005 are due to high natural gas prices following hurricanes

292

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

293

Futures Markets and the Reservation Price of Stumpage  

E-Print Network (OSTI)

are out of date. lumber and plywood prices to adjust theselength 2x4 full of random lumber (or 1/2 1 COX plywood forthe plywood contract) delivered in a specific place,

Berck, Peter; Bible, Thomas

1982-01-01T23:59:59.000Z

294

Table 14a. Average Electricity Prices, Projected vs. Actual  

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

a. Average Electricity Prices, Projected vs. Actual a. Average Electricity Prices, Projected vs. Actual Projected Price in Constant Dollars (constant dollars, cents per kilowatt-hour in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1995 1993 6.80 6.80 6.70 6.70 6.70 6.70 6.70 6.80 6.80 6.90 6.90 6.90 7.00 7.00 7.10 7.10 7.20 AEO 1996 1994 7.09 6.99 6.94 6.93 6.96 6.96 6.96 6.97 6.98 6.97 6.98 6.95 6.95 6.94 6.96 6.95 6.91 AEO 1997 1995 6.94 6.89 6.90 6.91 6.86 6.84 6.78 6.73 6.66 6.60 6.58 6.54 6.49 6.48 6.45 6.36

295

Measuring and Explaining Electricity Price Changes in Restructured States  

Science Conference Proceedings (OSTI)

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

Fagan, Mark L.

2006-06-15T23:59:59.000Z

296

Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates?  

E-Print Network (OSTI)

PWP-066 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl;1 Pricing Electricity for Default Customers: Pass Through or Performance-Based Rates? Carl Blumstein1 August 1999 Abstract California electricity consumers can choose a retail electricity service provider

California at Berkeley. University of

297

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

E-Print Network (OSTI)

Response to Electricity Real-Time Prices: Short Run and LongElectricity Usage to Real Time Prices A-31 v List ofwere linked to real-time prices, most customers indicated

2004-01-01T23:59:59.000Z

298

Future world oil prices: modeling methodologies and summary of recent forecasts  

SciTech Connect

This paper has three main objectives. First, the various methodologies that have been developed to explain historical oil price changes and forecast future price trends are reviewed and summarized. Second, the paper summarizes recent world oil price forecasts, and, then possible, discusses the methodologies used in formulating those forecasts. Third, utilizing conclusions from the reviews of the modeling methodologies and the recent price forecasts, in combination with an assessment of recent and projected oil market trends, oil price projections are given for the time period 1987 to 2022. The paper argues that modeling methodologies have undergone significant evolution during the past decade as modelers increasingly recognize the complex and constantly changing structure of the world oil market. Unfortunately, at this point in time a consensus about the appropriate methodology to use in formulating oil price forecasts is yet to be reached. There is, however, a general movement toward the opinion that both economic and political factors should be considered when making price projections. Likewise, there is no consensus about future oil price trends. Forecasts differ widely. However, in general, forecasts have been adjusted downwardly in recent years. Further, an overall assessment of the forecasts and recent oil market trends suggests that oil prices will remain constant in real terms for the remainder of the 1980s. Real oil prices are expected to increase by between 2 and 3% during the 1990s and beyond. Forecasters are quick to point out, however, that all forecasts are subject to significant uncertainty. 69 references, 3 figures, 10 tables.

Curlee, T.R.

1985-04-01T23:59:59.000Z

299

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

E-Print Network (OSTI)

March. Neenan, B. (1992) Electricity A La Carte ElectricPrice Responsive? The Electricity Journal 15(3): 52-59.ahead Wholesale Market Electricity Prices: Case Study of RTP

2004-01-01T23:59:59.000Z

300

Probabilities of Possible Future Prices (Released in the STEO April 2010)  

Reports and Publications (EIA)

EIA introduced a monthly analysis of energy price volatility and forecast uncertainty inthe October 2009 Short-Term Energy Outlook (STEO). Included in the analysis werecharts portraying confidence intervals around the New York Mercantile Exchange(NYMEX) futures prices of West Texas Intermediate (equivalent to light sweet crude oil)and Henry Hub natural gas contracts.

Information Center

2010-04-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Renewable Electricity Futures Study: Executive Summary  

NLE Websites -- All DOE Office Websites (Extended Search)

Executive Summary Executive Summary NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Volume 2 PDF Volume 3 PDF Volume 1 PDF Volume 4 PDF Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U.S. Department of Energy DeMeo, E. Renewable Energy Consulting Services, Inc. Reilly, J.M. Massachusetts Institute of Technology Mai, T. National Renewable Energy Laboratory Arent, D. Joint Institute for Strategic Energy Analysis Porro, G. National Renewable Energy Laboratory Meshek, M. National Renewable Energy Laboratory Sandor, D. National Renewable Energy Laboratory Suggested Citations Renewable Electricity Futures Study (Entire Report)

302

Dynamic Pricing in the Presence of Inventory Considerations: Research Overview, Current Practices, and Future Directions  

Science Conference Proceedings (OSTI)

The benefits of dynamic pricing methods have long been known in industries, such as airlines, hotels, and electric utilities, where the capacity is fixed in the short-term and perishable. In recent years, there has been an increasing adoption of dynamic ... Keywords: Dynamic pricing; e-commerce; revenue management; inventory

Wedad Elmaghraby; Pinar Keskinocak

2003-10-01T23:59:59.000Z

303

The Future of Electricity (and Gas) Regulation  

E-Print Network (OSTI)

is less than 20% of final energy consumption, even if other sectors managed to achieve a highly ambitious 10% renewables target, electricity would be required to acheive around a 35% renewable share to meet the overall target (see DUKES Table 1... analyses of how current and future policy can achieve this in the context of the UK. 3 Note climate change concern could be relatively greater than or less than actual climate change. 2 countries who operate within the context of EU energy...

Pollitt, Michael G.

304

Dynamic pricing and stabilization of supply and demand in modern electric power grids  

E-Print Network (OSTI)

The paper proposes a mechanism for real-time pricing of electricity in smart power grids, with price stability as the primary concern. In previous publications the authors argued that relaying the real-time wholesale market ...

Roozbehani, Mardavij

305

Wholesale electricity prices in New York City are the highest in ...  

U.S. Energy Information Administration (EIA)

Wholesale, on-peak electricity prices in New York City are the highest in the contiguous United States. In 2010, the average day-ahead, on-peak spot price of ...

306

St[r]ategic offers in an oligopolistic electricity market under pay-as-bid pricing.  

E-Print Network (OSTI)

??Marginal pricing is the traditional pricing method in pool based electricity markets, however pay-as-bid is an alternative that has been the focus of recent studies. (more)

Ganjbakhsh, Omid.

2008-01-01T23:59:59.000Z

307

A Tracing Method for Pricing Inter-Area Electricity Trades  

E-Print Network (OSTI)

on the marginal cost pricing ideas of Schweppe et al (1988). By the end of the decade, the US Federal Energy Regulatory Commission was requiring the electricity industry to form regional transmission organisations in order to better co-ordinate trading... to be met from transit charges should equal the ratio of transit flows to transit flows plus home country consumption. This appears to be a reasonable rule of thumb, and the detailed design of a tariff is not the aim of this paper. Instead, we wish to show...

Kattuman, Paul; Green, Richard J; Bialek, Janusz

2004-06-16T23:59:59.000Z

308

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

E-Print Network (OSTI)

Source: EPAs CEMS. Electricity Load Distribution 2.0e-04 NoLoad Figure 2a: Electricity load distribution (in MWh) withreal-time pricing Electricity Load Distribution 2.0e-04 All

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

309

The impact of electricity pricing schemes on storage adoption in Ontario  

Science Conference Proceedings (OSTI)

The Ontario electrical grid is sized to meet peak electricity load. If this worst-case load were reduced, the government and Ontario tax-payers could defer large infrastructural costs, reducing the cost of generation and electricity prices. Storage, ...

Tommy Carpenter; Sahil Singla; Parsiad Azimzadeh; S. Keshav

2012-05-01T23:59:59.000Z

310

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 20  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam;" " Unit: U.S. Dollars per Physical Units." ,,,"Electricity","Components",,"Natural Gas","Components",,"Steam","Components" " "," ",,,"Electricity",,,"Natural Gas",,,"Steam"," ",," " " "," ",,"Electricity","from Sources",,"Natural Gas","from Sources",,"Steam","from Sources"

311

Heavy Fuel Oil Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

Heavy Fuel Oil Prices for Electricity Generation for Selected Countries1 Heavy Fuel Oil Prices for Electricity Generation for Selected Countries1 U.S. Dollars per Metric Ton2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA NA NA NA Australia NA NA NA NA NA NA NA NA NA Austria 83.0 96.4 146.4 153.3 182.2 226.1 220.3 342.3 248.3 Barbados NA NA NA NA NA NA NA NA NA Belgium 155.1 160.4 - - - - - - - - - - - - - - Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA NA NA NA Canada 115.7 117.8 180.4 141.5 198.4 222.4 NA NA NA Chile NA NA NA NA NA NA NA NA NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) NA NA NA NA NA NA NA NA NA Colombia NA NA NA NA NA NA NA NA NA Cuba NA NA NA 183.4 NA NA NA NA NA

312

The Role of Electricity Pricing Policy in Industrial Siting Decisions  

E-Print Network (OSTI)

One of the many reasons why industries tend to co-locate in a general vicinity is the availability of factors of production. A manufacturer can achieve great savings if his production facility is located near his major raw material supplier. Since many intermediate industrial products are extremely energy intensive, the producer of these products must locate in areas where low cost energy resources are abundant. In many instances, therefore, the existence of these industries will serve as an anchor to other manufacturing industries. Furthermore, industry has great inertia in its locational preferences. It takes a long time to establish a patent of growth or decay. But once it is set in motion it is very difficult to change. Since the pricing policy of electricity plays a significant role in the siting decisions of energy intensive industries, it is therefore imperative for the policy makers to understand the long term impact of their policies. This paper will examine the current pricing policy of the electric utility industry in Texas.

Tam, C. S.

1981-01-01T23:59:59.000Z

313

"Table A49. Average Prices of Purchased Electricity, Steam, and Natural Gas"  

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

9. Average Prices of Purchased Electricity, Steam, and Natural Gas" 9. Average Prices of Purchased Electricity, Steam, and Natural Gas" " by Type of Supplier, Census Region, and Economic Characteristics of the" " Establishment, 1991" " (Estimates in Dollars per Physical Units)" ," Electricity",," Steam",," Natural Gas" ," (Million kWh)",," (Billion Btu)",," (1000 cu ft)" ,"-","-----------","-","-----------","-","-","-","RSE" " ","Utility","Nonutility","Utility","Nonutility","Utility","Transmission","Other","Row"

314

Electricity Transmission Pricing: How much does it cost to get it wrong?  

E-Print Network (OSTI)

PWP-058 Electricity Transmission Pricing: How much does it cost to get it wrong? Richard Green Channing Way Berkeley, California 94720-5180 www.ucei.berkeley.edu/ucei #12;Electricity Transmission optimal prices for electricity transmission. These are rarely applied in practice. This paper develops

California at Berkeley. University of

315

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

E-Print Network (OSTI)

incentives such as time-varying electricity tariff (e.g. spot pricing [1]), or CO2 footprint. Electricity tariff (spot price) for New York City on February 15th, 2011. Data taken from NYISO. The web-varying electricity tariff in the management of the power grid, especially in the reduction of peak power con

Feigon, Brooke

316

Levy process-driven mean-reverting electricity price model: the marginal distribution analysis  

Science Conference Proceedings (OSTI)

We propose a class of stochastic mean-reverting models for electricity prices with Levy process-driven Ornstein-Uhlenbeck (OU) processes being the building blocks. We first fit marginal distributions of power price series to two special classes of distributions ... Keywords: Correlation structure, Electricity market signals, Electricity option pricing, Heavy-tail, Levy process, Ornstein-Uhlenbeck type process, Risk management, Unbalanced-tail

Shi-Jie Deng; Wenjiang Jiang

2005-10-01T23:59:59.000Z

317

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

price vs. annual peak demand. . . . . Tari?-based annuala function of annual peak demand. . . Probability that theelectricity price vs. annual peak demand; each point is one

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

2008-01-01T23:59:59.000Z

318

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets  

E-Print Network (OSTI)

as Large Comm. Interval metering system with monthly dataDynamic Pricing, Advanced Metering and Demand Response inE Dynamic Pricing, Advanced Metering, and Demand Response in

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

319

Winter (November-March) natural gas futures prices at lowest ...  

U.S. Energy Information Administration (EIA)

The Henry Hub, in Erath, Louisiana, is the physical delivery location for the NYMEX natural gas futures contract. Sabine Pipeline is the operator of the Henry Hub.

320

Responsiveness of residential electricity demand to changes in price, information, and policy .  

E-Print Network (OSTI)

??This study analyzes consumers' behavioral responsiveness to changes in price and policy regarding residential electricity consumption, using a hybrid method of econometric analyses and energy (more)

Baek, Youngsun

2011-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

The Price of Electricity from Private Power Producers  

E-Print Network (OSTI)

prices shown in Figure ES-1 assume that coal prices stay constant in real terms and that natural gas . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 16 Table 3-2. Gas-fired Projects with Prices Not Directly Tied to Natural Gas . . . . . . . . . 27 20-year levelized price of $0.092/kWh, whereas natural gas combined cycle and/or cogeneration

322

Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects  

E-Print Network (OSTI)

Future Electric Vehicle FMVSS . Federal Motor Vehicle SafetySafety and Systems Management), 1992. "The Impact Electric Vehiclesas pure electric-powered vehicles. 2.3. Safety, Comfort, and

Scott, Allen J.

1993-01-01T23:59:59.000Z

323

Natural Gas Citygate Price  

Annual Energy Outlook 2012 (EIA)

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross...

324

Changes in the real price of electricity: implications for higher load growth  

SciTech Connect

While real electricity prices have increased over the last decade, they have declined relative to oil and natural gas. As a result, electricity has increased its share of the total energy market. Many believe these price trends will not continue as new base-load plants come on line. They state that the real price of electricity will increase disproportionately with respect to other energy forms, resulting in reduced levels of load growth and a loss of market share. The authors of this article disagree, and instead argue that: (1) the real price of electricity will decline over the 1980s; (2) electricity prices will not lose recent competitive gains relative to oil and natural gas; and (3) electricity's market share will continue to increase, and load growth will exceed the 3% average of the 1970s. They conclude that the potential exists for a 4 to 5% load growth scenario for the balance of the 1980s. 5 references, 2 tables.

Siegel, J.R.; Sillin, J.O.

1983-09-15T23:59:59.000Z

325

Analysis of customer response to electricity rate structures which create an endogenous electricity price  

SciTech Connect

In the 1970's, concern over the availability and cost of fossil fuels led to use of electricity rates designed to conserve energy. Under several rates the marginal electricity price was endogenous. Two such rates were inverted block rates and voluntary time-of-use (TOU) rates. Both rates have the potential to alter welfare by changing electricity-usage patterns. Both require special methodological treatment. The problem of modeling demand under block rates was addressed in several fields. The most-sophisticated solution to date is a maximum likelihood approach first used in labor economics. However, as demonstrated in this thesis, this approach may cause misspecification of the likelihood function. In this thesis, a correctly specified maximum-likelihood model is developed, in which the simultaneous determination of usage and the marginal price resulting from the block rate are explicitly modeled in a unified framework. The resulting likelihood function is not continuously differentiable. However, maximization of this likelihood function is shown to produce asymptotically normal parameter estimates. The model is used to estimate the demand for electricity under a two-tier inverted block rate. Results show very small elasticities of demand with respect to each component of the rate structure. Comparison estimates using other methodologies demonstrate the problems which can arise if the endogenous price is not carefully treated.

Kuester, K.A.

1986-01-01T23:59:59.000Z

326

Modifications To Incorporate Competitive Electricity Prices In The Annual Energy Outlook 1998  

Reports and Publications (EIA)

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

Information Center

1998-02-01T23:59:59.000Z

327

Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony  

E-Print Network (OSTI)

Change in Consumer Electricity Bills Net Impact of RPS onon Natural Gas and Electricity Bills (2003-2020, 7% realelectricity sector should consider the potentially beneficial cross-sector impact of that diversification on natural gas prices and bills.

Wiser, Ryan

2005-01-01T23:59:59.000Z

328

Presentation to EAC: Renewable Electricity Futures Activities...  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Skip to main content Energy.gov Office of Electricity Delivery & Energy Reliability Search form Search Office of Electricity Delivery & Energy Reliability Services Electricity...

329

Abstract--It is expected that a lot of the new light vehicles in the future will be electrical vehicles (EV). The storage capacity of  

E-Print Network (OSTI)

,000) could be replaced by electrical car by the year 2025 [8]. It is predicted that EVs will make 641 Abstract-- It is expected that a lot of the new light vehicles in the future will be electrical into account. Index Terms-- Electrical vehicle, smart charging, spot electricity price. I. INTRODUCTION HE

Mahat, Pukar

330

Power Systems Engineering Research Center Renewable Electricity Futures  

E-Print Network (OSTI)

Power Systems Engineering Research Center Renewable Electricity Futures Trieu Mai Electricity of the extent to which renewable energy supply can meet the electricity demands of the contiguous United States renewable electricity generation levels: from 30% up to 90% (focusing on 80%) of all U.S. electricity

Van Veen, Barry D.

331

Design and Optimization of Future Hybrid and Electric Propulsion Systems  

E-Print Network (OSTI)

Design and Optimization of Future Hybrid and Electric Propulsion Systems: An Advanced Tool and Optimization of Future Hybrid and Electric Propulsion Systems: An Advanced Tool Integrated in a Complete Hybrid Electric Vehicle ICE Internal Combustion Engine IM Induction Machine IPM Internal Permanent Magnet

Paris-Sud XI, Université de

332

Comparing Price Forecast Accuracy of Natural Gas Models andFutures Markets  

SciTech Connect

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

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

2005-06-30T23:59:59.000Z

333

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Average Electricity Prices, Projected vs. Actual Average Electricity Prices, Projected vs. Actual (nominal cents per kilowatt-hour) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 6.38 6.96 7.63 8.23 8.83 9.49 AEO 1983 6.85 7.28 7.74 8.22 8.68 9.18 13.12 AEO 1984 6.67 7.05 7.48 7.89 8.25 8.65 11.53 AEO 1985 6.62 6.94 7.32 7.63 7.89 8.15 8.46 8.85 9.20 9.61 10.04 AEO 1986 6.67 6.88 7.05 7.18 7.35 7.52 7.65 7.87 8.31 8.83 9.41 10.01 10.61 11.33 12.02 AEO 1987 6.63 6.65 6.92 7.12 7.38 7.62 7.94 8.36 8.86 11.99 AEO 1989* 6.50 6.75 7.14 7.48 7.82 8.11 8.50 8.91 9.39 9.91 10.49 11.05 11.61 AEO 1990 6.49 6.72 8.40 10.99 14.5 AEO 1991 6.94 7.31 7.59 7.82 8.18 8.38 8.54 8.73 8.99 9.38 9.83 10.29 10.83 11.36 11.94 12.58 13.21 13.88 14.58 15.21 AEO 1992 6.97 7.16 7.32 7.56 7.78 8.04 8.29 8.57 8.93 9.38 9.82 10.26 10.73 11.25 11.83 12.37 12.96 13.58 14.23 AEO 1993

334

Efficient Retail Pricing in Electricity and Natural Gas Markets: A Familiar Problem with New Challenges  

E-Print Network (OSTI)

A long line of research investigates whether the retail prices of electricity and natural gas send proper signals about scarcity in order to induce efficient consumption. Historically, regulated utilities have not designed tariffs that set marginal prices equal to marginal costs. Currently, some jurisdictions are opening the retail sectors of the gas and electricity industry to competition via retail choice. These new regimes replace imperfect regulation with imperfect competition as the process by which retail tariffs are formed. We discuss the challenges in evaluating the efficiency of these new pricing regimes and present descriptive evidence of how pricing has changed in markets with retail choice.

Steven L. Puller; Jeremy West

2013-01-01T23:59:59.000Z

335

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

Modeling alternative residential peak-load electricity rateKeywords: electricity rates, residential electricity, demandrates be targeted to the largest residential users of electricity,

Herter, Karen

2006-01-01T23:59:59.000Z

336

Market structure and the price of electricity: An ex ante analysis of the deregulated Swedish electricity market  

Science Conference Proceedings (OSTI)

Following new legislation the Swedish electricity market is about to be deregulated. The new system is designed to ensure competition in production and supply. The main motive for deregulation is to increase competition and thus achieve lower market prices. A possible threat to this outcome is the high degree of concentration on the seller side that characterizes the Swedish electricity market. In this paper we show that given the current structure of firms on the supply side, deregulation is not a sufficient condition for lower equilibrium prices in the electricity market. We use a numerical model to explore the quantitative relation between the Cournot-equilibrium price, the number of firms, and the size distribution of firms in the Swedish electricity market. We compute equilibrium electricity prices and a welfare measure in order to quantify the effect of asymmetric market concentration on competition. 3 refs., 1 fig., 6 tabs.

Andersson, B.; Bergman, L. [Stockholm School of Economics (Sweden)

1995-12-31T23:59:59.000Z

337

Renewable Electricity Futures: Exploration of Up to 80% Renewable Electricity Penetration in the United States (Presentation)  

SciTech Connect

This presentation summarizes findings of NREL's Renewable Electricity Futures study, published in June 2012. RE Futures investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050.

Hand, M.; DeMeo, E.; Hostick, D.; Mai, T.; Schlosser, C. A.

2013-04-01T23:59:59.000Z

338

Renewable Electricity Futures Study. Volume 1: Exploration of...  

NLE Websites -- All DOE Office Websites (Extended Search)

of High-Penetration Renewable Electricity Futures D-7 Jay Caspary Southwest Power Pool Lynn Coles National Renewable Energy Laboratory Brendan Kirby Consult Kirby Trieu Mai...

339

Application of a new hybrid neuro-evolutionary system for day-ahead price forecasting of electricity markets  

Science Conference Proceedings (OSTI)

In this paper, a new forecast strategy is proposed for day-ahead prediction of electricity prices, which are so valuable for both producers and consumers in the new competitive electric power markets. However, electricity price has a nonlinear, volatile ... Keywords: Evolutionary algorithm, Hybrid neuro-evolutionary system, Neural network, Price forecast

Nima Amjady; Farshid Keynia

2010-06-01T23:59:59.000Z

340

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

E-Print Network (OSTI)

This study proposes two methods, (1) a probabilistic method based on historical oil prices and (2) a method based on Gaussian simulation, to model future prices of oil. With these methods to model future oil prices, we can calculate the ranges of uncertainty in traditional probability indicators based on cash flow analysis, such as net present values, net present value to investment ratio and internal rate of return. We found that conventional methods used to quantify uncertainty which use high, low and base prices produce uncertainty ranges far narrower than those observed historically. These methods fail because they do not capture the "shocks" in oil prices that arise from geopolitical events or supply-demand imbalances. Quantifying uncertainty is becoming increasingly important in the petroleum industry as many current investment opportunities in reservoir development require large investments, many in harsh exploration environments, with intensive technology requirements. Insight into the range of uncertainty, particularly for downside, may influence our investment decision in these difficult areas.

Mendjoge, Ashish V

2003-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

Class of Ownership, Number of Consumers, Sales, Revenue, and Average Retail Price for Power Marketers and Energy Service Providers by State: T12:

342

Natural Gas Electric Power Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

-No Data Reported; --= Not Applicable; NA = Not Available; W = Withheld to avoid disclosure of individual company data. Notes: Prices are in ...

343

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

L.R. Modeling alternative residential peak-load electricitydemand response to residential critical peak pricing (CPP)analysis of California residential customer response to

Herter, Karen

2006-01-01T23:59:59.000Z

344

Price and volatility relationships in the Australian electricity market.  

E-Print Network (OSTI)

??This thesis presents a collection of papers that has been published, accepted or submitted for publication. They assess price, volatility and market relationships in the (more)

Higgs, Helen

2006-01-01T23:59:59.000Z

345

Wholesale electricity prices spike in Texas - Today in Energy - U ...  

U.S. Energy Information Administration (EIA)

Sales, revenue and prices, power plants, fuel ... starting in April of this year. ... included start-up costs in their bids to come back from outage ...

346

Long-run incremental costs and the pricing of electricity. Part II. [Comparative evaluation of marginal cost pricing and average cost pricing  

SciTech Connect

Total costs have essentially the same cost components whether long-run average costs or long-run incremental costs are used. The variable components, chiefly fuel, may be somewhat different in the new incremental plant compared to the old average plant; where the difference is between nuclear fuel and fossil fuel, its size is substantial. However, given the same kind of plant, the current prices of materials and labor will be essentially the same whether used in the new or the old plant with long-run incremental costs (LRIC) or long-run average costs (LRAC). The lower cost of electricity produced in nuclear plants constructed today, as compared to fossil fuel plants constructed at the same time, is not to be confused with the relation between LRIC and LRAC. LRAC is the average cost of electricity from all existing plants priced at their historical costs, which were generally lower than current costs. These average historical costs per kilowatt are still likely to be lower than the current incremental cost per kilowatt of the newest nuclear plant built at present price levels. LRAC is, therefore, still likely to be lower than LRIC for either fossil or nuclear. Data from the Wisconsin Power and Light Company, the Madison Gas and Electric Company, and Tuscon Gas and Electric Company are examined to study some comparisons. Some pricing principles that vary seasonally for resort hotels are reviewed. (MCW)

Morton, W.A.

1976-03-25T23:59:59.000Z

347

paper CO2 Regulations and Electricity Prices: Cost Estimates for Coal-Fired Power Plants. We thank  

E-Print Network (OSTI)

For fossil fuel power plants to be built in the future, carbon capture and storage (CCS) technologies offer the potential for significant reductions in CO2 emissions. We examine the break-even value for CCS adoptions, that is, the critical value in the charge for CO2 emissions that would justify investment in CCS capabilities. Our analysis takes explicitly into account that the supply of electricity at the wholesale level (generation) is organized competitively in some U.S. jurisdictions, while in others a regulated utility provides integrated generation and distribution services. For either market structure, we find that emissions charges in the range of $25-$30 per tonne of CO2 would be the break-even value for adopting CCS capabilities at new coal-fired power plants. The corresponding break-even values for natural gas plants are substantially higher, near $60 per tonne. Our break-even estimates serve as a basis for projecting the change in electricity prices once carbon emissions become costly. CCS capabilities effectively put an upper bound on the rise in electricity prices. We estimate this bound to be near 30 % at the retail level for both coal and natural gas plants. In contrast to the competitive power supply scenario, however, these price increases materialize only gradually for a regulated utility. The delay in price adjustments reflects that for regulated

Stefan Reichelstein; Erica Plambeck

2009-01-01T23:59:59.000Z

348

Trends in Regional U.S. Electricity and Natural Gas Price Elasticity  

Science Conference Proceedings (OSTI)

The extent to which consumers are likely to alter energy consumption in response to energy price changes continues to be a critical element in energy policy analysis. Notably, climate change policies that are expected to increase the price of electricity will engender different consequences for the power industry, state economies, and power users, depending on how consumers respond to those prices. Understanding and acknowledging such impacts will be critical to the proper implementation of such policies...

2010-11-12T23:59:59.000Z

349

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

Evidence from Residential Electricity Demand, Review ofLester D. The Demand for Electricity: A Survey, The BellResidential Demand for Electricity under Inverted Block

Borenstein, Severin

2008-01-01T23:59:59.000Z

350

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

residential peak-load electricity rate structures. Journalefficiency efforts. Keywords: electricity rates, residentialmust suffer higher electricity rates to pay for the bill

Herter, Karen

2006-01-01T23:59:59.000Z

351

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

of increasing-block electricity rate schedules in the Unitedfrom the analysis of electricity rates, this approach toBlock Residential Electricity Rates in California The

Borenstein, Severin

2008-01-01T23:59:59.000Z

352

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

by the amount of electricity demand that is settled forward.unresponsive demand side, electricity demand has to be metxed percentage of overall electricity demand. The ISO, thus,

Siddiqui, Afzal S.

2003-01-01T23:59:59.000Z

353

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

customers. Here we use the electricity bill survey data fromcalculate a customer electricity bill requires two sets ofsame region. Monthly electricity bill data is available for

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

2008-01-01T23:59:59.000Z

354

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

the average annual electricity bills for non-CARE customersif reducing the electricity bills of low income customers iswould raise the annual electricity bill of the poorest

Borenstein, Severin

2008-01-01T23:59:59.000Z

355

The Future Electricity Fuels Mix: Key Drivers  

U.S. Energy Information Administration (EIA)

cogeneration . Howard Gruenspecht Electric Power, May 15, 2012 . 2010 . Examples of updated environmental retrofit costs . 10 . Howard ...

356

Investment Efficiency in Competitive Electricity Markets With and Without Time-Varying Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then study a number of policy interventions that have been proposed to address the perceived inadequacy of capacity investment. We show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. We demonstrate that the most common proposal, a subsidy to capacity ownership financed by a tax on retail electricity, is particularly problematic. An alternative approach to improving efficiency, increasing the share of customers on RTP, has some surprising effects. We show that such a change lowers the equilibrium price to flat rate customers

Severin Borenstein; Stephen P. Holland

2003-01-01T23:59:59.000Z

357

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

and the methods which have been proposed to handle them in spot and forward price models. We devote special sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since and nuclear production as these plants are hardly ever setting the price. In other words, since electricity

Carmona, Rene

358

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

359

A new feature selection algorithm and composite neural network for electricity price forecasting  

Science Conference Proceedings (OSTI)

In a competitive electricity market, the forecasting of energy prices is an important activity for all the market participants either for developing bidding strategies or for making investment decisions. In this paper, a new forecast strategy is proposed ... Keywords: Composite neural network, Price forecast, Two stage feature selection technique

Farshid Keynia

2012-12-01T23:59:59.000Z

360

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 1998 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

Note: This page contains sample records for the topic "future electricity price" 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

Prices  

Gasoline and Diesel Fuel Update (EIA)

Information AdministrationPetroleum Marketing Annual 2001 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

362

Prices  

Annual Energy Outlook 2012 (EIA)

Information AdministrationPetroleum Marketing Annual 1999 Table 31. Motor Gasoline Prices by Grade, Sales Type, PAD District, and State (Cents per Gallon Excluding Taxes) -...

363

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

E-Print Network (OSTI)

of circumstances. In the electric power industry, studying the costs of load forecasting errors has been a topic forecast in electric load forecasting models is discussed in [21]. The findings of [19]­[21] are consistentIEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors

Cañizares, Claudio A.

364

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

E-Print Network (OSTI)

ANN-based Short-Term Load Forecasting in Electricity Markets Hong Chen Claudio A. Ca~nizares Ajit forecasting technique that considers electricity price as one of the main characteristics of the system load. B. Makram, "A Hybrid Wavelet- Kalman Filter Method for Load Forecasting," Electric Power Systems

365

Pricing and Hedging Electricity Supply Contracts: a Case with Tolling Agreements  

E-Print Network (OSTI)

Pricing and Hedging Electricity Supply Contracts: a Case with Tolling Agreements Shi-Jie Deng Email Customized electric power contracts catering to specific business and risk management needs have gained increasing popularity among large energy firms in the restructured electricity in- dustry. A tolling

366

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

Increasing-Block Residential Electricity Rates in CaliforniaResidential Demand for Electricity under Inverted Block Rates:

Borenstein, Severin

2008-01-01T23:59:59.000Z

367

Customer Response to Day-ahead Wholesale Market Electricity Prices...  

NLE Websites -- All DOE Office Websites (Extended Search)

Buildings Simulation Tools Sustainable Federal Operations Windows and Daylighting Electricity Grid Demand Response Distributed Energy Electricity Reliability Energy Analysis...

368

Short run effects of a price on carbon dioxide emissions from U.S. electric generators  

Science Conference Proceedings (OSTI)

The price of delivered electricity will rise if generators have to pay for carbon dioxide emissions through an implicit or explicit mechanism. There are two main effects that a substantial price on CO{sub 2} emissions would have in the short run (before the generation fleet changes significantly). First, consumers would react to increased price by buying less, described by their price elasticity of demand. Second, a price on CO{sub 2} emissions would change the order in which existing generators are economically dispatched, depending on their carbon dioxide emissions and marginal fuel prices. Both the price increase and dispatch changes depend on the mix of generation technologies and fuels in the region available for dispatch, although the consumer response to higher prices is the dominant effect. We estimate that the instantaneous imposition of a price of $35 per metric ton on CO{sub 2} emissions would lead to a 10% reduction in CO{sub 2} emissions in PJM and MISO at a price elasticity of -0.1. Reductions in ERCOT would be about one-third as large. Thus, a price on CO{sub 2} emissions that has been shown in earlier work to stimulate investment in new generation technology also provides significant CO{sub 2} reductions before new technology is deployed at large scale. 39 refs., 4 figs., 2 tabs.

Adam Newcomer; Seth A. Blumsack; Jay Apt; Lester B. Lave; M. Granger Morgan [Carnegie Mellon University, Pittsburgh, PA (United States). Carnegie Mellon Electricity Industry Center

2008-05-01T23:59:59.000Z

369

,"U.S. Natural Gas Electric Power Price (Dollars per Thousand...  

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

,,"(202) 586-8800",,,"8302013 10:41:24 AM" "Back to Contents","Data 1: U.S. Natural Gas Electric Power Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045US3"...

370

Electricity transmission pricing : how much does it cost to get it wrong?  

E-Print Network (OSTI)

Economists know how to calculate optimal prices for electricity transmission. These are rarely applied in practice. This paper develops a thirteen node model of the transmission system in England and Wales, incorporating ...

Green, Richard

2004-01-01T23:59:59.000Z

371

Why did British Electricity Prices Fall after 1998?  

E-Print Network (OSTI)

who had not been scheduled to generate, and of buying ancillary services such as reserve, were recovered in a charge called Uplift. Uplift was added to the Pool Purchase Price to give the Pool Selling Price (PSP), payable by all suppliers for every... . We use the price paid by Major Power Producers for gas and for oil, as reported in Energy Trends, and Eurostat figures on the monthly cost of imports into the UK for coal.6 We believe that the import cost is a better reflection of the marginal cost...

Evans, Joanne; Green, Richard J

2004-06-16T23:59:59.000Z

372

What were the key energy commodity price trends in 2011?  

Reports and Publications (EIA)

Energy commodity price trends varied widely during 2011. Crude oil and petroleum products prices increased during 2011, while natural gas, coal, and electricity prices declined. This article provides an overview of key energy commodity price trends in 2011 based on prices seen in futures markets.

2012-02-14T23:59:59.000Z

373

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

is higher than the average cost per-kWh, the question of howcost recovery adders are neglected unless they are speci?ed as a price per kWh

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

2008-01-01T23:59:59.000Z

374

Electric Sales, Revenue, and Average Price 2011 - Energy ...  

U.S. Energy Information Administration (EIA)

2001-2010 are Excel zipped files & 1994-2000 are PDF files ... and Average Retail Price for Power Marketers and ... U.S. Department of Energy USA.gov FedStats.

375

Table 11a. Coal Prices to Electric Generating Plants, Projected...  

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

Actual" "Projected Price in Constant Dollars" " (constant dollars per million Btu in ""dollar year"" specific to each AEO)" ,"AEO Dollar Year",1993,1994,1995,1996,1997,1998,1999,20...

376

Contract No. DE-AC03-76SF00098. Price-Elastic Demand in Deregulated Electricity Markets  

E-Print Network (OSTI)

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

Afzal S. Siddiqui; Afzal S. Siddiqui

2003-01-01T23:59:59.000Z

377

Effects of the European Union Emissions Trading Scheme on Electricity Prices  

Science Conference Proceedings (OSTI)

Any emissions trading program to deal with carbon emissions in the United States is likely to draw heavily on precedents in the path-breaking program in Europe the European Union Emissions Trading Scheme ("EU ETS"). This paper considers the effects of the EU ETS on electricity prices, a topic that has come to the fore recently in the context of rising CO2 prices and concomitant rises in electricity prices in many European markets. Indeed, various proposals have been put forth by governments and private g...

2005-12-22T23:59:59.000Z

378

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

E-Print Network (OSTI)

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

Martin, Alexander; Pokutta, Sebastian

2012-01-01T23:59:59.000Z

379

Price, carbon and generation profiles: how partisan differences make the future of climate change uncertain  

Science Conference Proceedings (OSTI)

America is very much a divided nation when it comes to politics. That polarization is reflected in the environmental and energy realities currently at play in many states, creating a remarkable divide between more conservative Red States and more liberal Blue States when it comes to the amount of CO{sub 2} emitted into the atmosphere and the price of electricity. These differences pose an enormous obstacle in passing climate change legislation. (author)

Sautter, John A.; Sautter, Christopher A.

2010-03-15T23:59:59.000Z

380

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

reduction of annual electricity bills than do high-usereduction of annual electricity bills, than do high-useless on their electricity bills than do low-use customers,

Herter, Karen

2006-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Wealth Transfers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network (OSTI)

I calculate the electricity bills for each of the 636arrangements on the customers electricity bill. On averageless than half of the electricity bill, so the proportional

Borenstein, Severin

2005-01-01T23:59:59.000Z

382

Market Design and Price Behavior in Restructured Electricity Markets: An International Comparison  

E-Print Network (OSTI)

This paper argues that the market rules governing the operation of a re-structured electricity market in combination with its market structure can have a substantial impact on behavior of marketclearing prices. Using evidence on the design of electricity markets in England and Wales, Norway, the state of Victoria in Australia and New Zealand, this paper illustrates that market structure and market rules are important drivers of the behavior of prices in a competitive electricity market. The paper first summarizes the important features of the market structure and market rules in each country. One conclusion to emerge from this comparison is that there are many differences in how these markets in each country are organized. I then provide an assessment of the relationship between market rules and market structure and the behavior of prices in each market. The paper closes with a discussion of the available evidence that the behavior of prices in each country is the result of the exercis...

Frank A. Wolak

1997-01-01T23:59:59.000Z

383

The effects of utility DSM programs on electricity costs and prices  

SciTech Connect

More and more US utilities are running more and larger demand-side management (DSM) programs. Assessing the cost-effectiveness of these programs raises difficult questions for utilities and their regulators. Should these programs aim to minimize the total cost of providing electric-energy services or should they minimize the price of electricity? This study offers quantitative estimates on the tradeoffs between total costs and electricity prices. This study uses a dynamic model to assess the effects of energy-efficiency programs on utility revenues, total resource costs, electricity prices, and electricity consumption for the period 1990 to 2010. These DSM programs are assessed under alternative scenarios. In these cases, fossil-fuel prices, load growth, the amount of excess capacity the utility has in 1990, planned retirements of power plants, the financial treatment of DSM programs, and the costs of energy- efficient programs vary. These analyses are conducted for three utilities: a ``base`` that is typical of US utilities; a ``surplus`` utility that has excess capacity, few planned retirements, and slow growth in fossil-fuel prices and incomes; and a ``deficit`` utility that has little excess capacity, many planned retirements, and rapid growth in fossil-fuel prices and incomes. 28 refs.

Hirst, E.

1991-11-01T23:59:59.000Z

384

The effects of utility DSM programs on electricity costs and prices  

SciTech Connect

More and more US utilities are running more and larger demand-side management (DSM) programs. Assessing the cost-effectiveness of these programs raises difficult questions for utilities and their regulators. Should these programs aim to minimize the total cost of providing electric-energy services or should they minimize the price of electricity This study offers quantitative estimates on the tradeoffs between total costs and electricity prices. This study uses a dynamic model to assess the effects of energy-efficiency programs on utility revenues, total resource costs, electricity prices, and electricity consumption for the period 1990 to 2010. These DSM programs are assessed under alternative scenarios. In these cases, fossil-fuel prices, load growth, the amount of excess capacity the utility has in 1990, planned retirements of power plants, the financial treatment of DSM programs, and the costs of energy- efficient programs vary. These analyses are conducted for three utilities: a base'' that is typical of US utilities; a surplus'' utility that has excess capacity, few planned retirements, and slow growth in fossil-fuel prices and incomes; and a deficit'' utility that has little excess capacity, many planned retirements, and rapid growth in fossil-fuel prices and incomes. 28 refs.

Hirst, E.

1991-11-01T23:59:59.000Z

385

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

386

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

E-Print Network (OSTI)

Forecast Introduction................................................................... 16 The Base Case Forecast..................................................................... 16 Base Case Price Forecast

387

Efficiency and equity of electricity price regulation: a two-part tariff framework  

Science Conference Proceedings (OSTI)

Electricity price regulation is analyzed, which evaluates regulation by both the efficiency of prices within each customer class and the equity of prices between customer classes. Beyond analyzing the efficiency and equity of prices, the issues of regulatory effectiveness and regulatory motivations are addressed. In order to address the above issues, a model of the industry is designed that consists of a demand section, a cost section, and a set of pricing equations that relate demand to cost for each customer class. The demand and cost equations explicitly incorporate the two-part tariff nature of prices, allowing for the estimation of output and connection demand elasticities with respect to the per-unit and fixed prices and the estimation of output and connection marginal costs. The pricing equations are developed by extending the current work on optimal two-part tariffs to explicitly incorporate the possibility of alternative motivation on the part of regulators. The estimating model enables nested hypotheses testing of the motivations of regulators. The model is estimated with data from a 1980 cross section of 78 privately-owned electric utilities. The estimation results indicate that the motivations of regulators are best described by the economic theory of regulation. This theory states that regulators allocate benefits among various interest groups until marginal political support is equal across groups.

Naughton, M.C.

1985-01-01T23:59:59.000Z

388

Renewable Electricity Futures Study. Volume 4: Bulk Electric Power Systems: Operations and Transmission Planning  

DOE Green Energy (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Milligan, M.; Ela, E.; Hein, J.; Schneider, T.; Brinkman, G.; Denholm, P.

2012-06-01T23:59:59.000Z

389

Renewable Electricity Futures Study. Volume 3: End-Use Electricity Demand  

DOE Green Energy (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Hostick, D.; Belzer, D.B.; Hadley, S.W.; Markel, T.; Marnay, C.; Kintner-Meyer, M.

2012-06-01T23:59:59.000Z

390

Renewable Electricity Futures Study. Volume 2: Renewable Electricity Generation and Storage Technologies  

DOE Green Energy (OSTI)

The Renewable Electricity Futures (RE Futures) Study investigated the challenges and impacts of achieving very high renewable electricity generation levels in the contiguous United States by 2050. The analysis focused on the sufficiency of the geographically diverse U.S. renewable resources to meet electricity demand over future decades, the hourly operational characteristics of the U.S. grid with high levels of variable wind and solar generation, and the potential implications of deploying high levels of renewables in the future. RE Futures focused on technical aspects of high penetration of renewable electricity; it did not focus on how to achieve such a future through policy or other measures. Given the inherent uncertainties involved with analyzing alternative long-term energy futures as well as the multiple pathways that might be taken to achieve higher levels of renewable electricity supply, RE Futures explored a range of scenarios to investigate and compare the impacts of renewable electricity penetration levels (30%-90%), future technology performance improvements, potential constraints to renewable electricity development, and future electricity demand growth assumptions. RE Futures was led by the National Renewable Energy Laboratory (NREL) and the Massachusetts Institute of Technology (MIT).

Augustine, C.; Bain, R.; Chapman, J.; Denholm, P.; Drury, E.; Hall, D.G.; Lantz, E.; Margolis, R.; Thresher, R.; Sandor, D.; Bishop, N.A.; Brown, S.R.; Cada, G.F.; Felker, F.

2012-06-01T23:59:59.000Z

391

CURRENT AND FUTURE IGCC TECHNOLOGIES:  

NLE Websites -- All DOE Office Websites (Extended Search)

future. On the other hand, the projected demand for electricity coupled with high fuel costs (particularly high oil prices and volatile natural gas prices) presents a near-term...

392

Price forecasting and optimal operation of wholesale customers in a competitive electricity market  

E-Print Network (OSTI)

c ? Hamidreza Zareipour 2006I hereby declare that I am the sole author of this thesis. This is a true copy of the thesis, including any required final revisions, as accepted by my examiners. I understand that my thesis may be made electronically available to the public. This thesis addresses two main issues: first, forecasting short-term electricity market prices; and second, the application of short-term electricity market price forecasts to operation planning of demand-side Bulk Electricity Market Customers (BEMCs). The Ontario electricity market is selected as the primary case market and its structure is studied in detail. A set of explanatory variable candidates is then selected accordingly, which may explain price behavior in this market. In the process of selecting the explanatory variable candidates, some important issues, such as direct or indirect effects of the variables on price behavior, availability of the variables before real-time, choice of appropriate forecasting horizon and market time-line, are taken into account. Price and demand in three neighboring electricity markets, namely, the New York, New England, and PJM electricity markets, are also considered among the explanatory variable candidates.

Hamidreza Zareipour

2006-01-01T23:59:59.000Z

393

Hedging Strategies and the Economic Effects of Price Spikes in the Electricity Market  

E-Print Network (OSTI)

This thesis concerns the newly deregulated Swedish electricity market. More specifically it concerns the large sudden increases in the spot price of electricity, i.e. price spikes, and what can be done in order to minimise the risk associated with price spikes by the use of hedging strategies. We have focused on smaller electricity trading companies. Our research questions are formulated below. Which of our constructed hedging strategies will be the most advantageous to use in terms of reducing the risk associated with price spikes and at the same time produce the best total result over the year? What are the most critical issues that will improve the performance of a smaller electricity trading companys hedging strategy? Our results reveal that the strategy consisting of more precise hedging instruments is the most appropriate in terms of reducing the negative economic effects of price spikes. We also show that there is a need for electricity trading companies to put more emphasis on implementing a broader risk management strategy. Our research shows that the option strategy was successful and we recommend electricity traders to consider options as a tool in their hedging strategy.

Jan Hermansson; Johan Westberg; Graduate Business School; Printed Elanders; Novum Ab Abstract

2002-01-01T23:59:59.000Z

394

Table 7.3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010;  

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

3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; 3 Average Prices of Purchased Electricity, Natural Gas, and Steam, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: Supplier Sources of Purchased Electricity, Natural Gas, and Steam; Unit: U.S. Dollars per Physical Units. Electricity Components Natural Gas Components Steam Components Electricity Natural Gas Steam Electricity from Sources Natural Gas from Sources Steam from Sources Electricity from Local Other than Natural Gas from Local Other than Steam from Local Other than NAICS Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Total Utility(b) Local Utility(c) Code(a) Subsector and Industry (kWh) (kWh) (kWh) (1000 cu ft) (1000 cu ft) (1000 cu ft) (million Btu)

395

Managing Electricity Reliability Risk Through the Futures Markets  

E-Print Network (OSTI)

LBNL-47645 Managing Electricity Reliability Risk Through the Futures Markets Afzal S. Siddiqui Environmental Energy Technologies Division Ernest Orlando Lawrence Berkeley National Laboratory Berkeley for Operations Research and the Management Sciences INFORMS Annual Meeting in San Antonio, TX, November 2000

396

Electrical ship demand modeling for future generation warships  

E-Print Network (OSTI)

The design of future warships will require increased reliance on accurate prediction of electrical demand as the shipboard consumption continues to rise. Current US Navy policy, codified in design standards, dictates methods ...

Sievenpiper, Bartholomew J. (Bartholomew Jay)

2013-01-01T23:59:59.000Z

397

Forecasting next-day price of electricity in the Spanish energy market using artificial neural networks  

Science Conference Proceedings (OSTI)

In this paper, next-day hourly forecasts are calculated for the energy price in the electricity production market of Spain. The methodology used to achieve these forecasts is based on artificial neural networks, which have been used successfully in recent ... Keywords: ART network, Backpropagation network, Box-Jenkins, Electricity market, Neural networks, Time series forecasting

Ral Pino; Jos Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

398

Price strategies in dynamic duopolistic markets with deregulated electricity supplies using mixed strategies  

Science Conference Proceedings (OSTI)

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing ... Keywords: deregulated electricity supplies, mixed strategies, price strategies

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

399

A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu  

E-Print Network (OSTI)

played a role during the crisis period. 1 Introduction The energy industry provides electrical powerA Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell of supply and demand equilibrium. The model includes latent supply and demand curves, which may vary over

400

Price strategies in dynamic duopolistic markets with deregulated electricity supplies using mixed strategies  

Science Conference Proceedings (OSTI)

While effective competition can force service providers to seek economically efficient methods to reduce costs, the deregulated electricity supply industry still allows some generators to exercise market power at particular locations, thereby preventing ... Keywords: Deregulated electricity supplies, Mixed strategies, Price strategies

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Impact of storage on the efficiency and prices in real-time electricity markets  

Science Conference Proceedings (OSTI)

We study the effect of energy-storage systems in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic, that real-time production is affected by ramping constraints, and that market players seek to selfishly ... Keywords: electricity pricing, energy economics, energy storage system, market efficiency

Nicolas Gast, Jean-Yves Le Boudec, Alexandre Proutire, Dan-Cristian Tomozei

2013-01-01T23:59:59.000Z

402

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

the Wholesale Market Edison Electric Institute, ElectricCo Southern California Edison Co State NC FL FL GA GA GA WVCode Company Name Boston Edison Co Central Vermont Pub Serv

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

2008-01-01T23:59:59.000Z

403

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

which participants may trade electricity. The ?rst functionselectricity can often be generated and transmitted within minutes of the spot trade.

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

404

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

which participants may trade electricity. The ?rst functionselectricity can often be generated and transmitted within minutes of the spot trade.

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

405

California's Electricity System of the Future: Scenario Analysis in Support  

E-Print Network (OSTI)

Commission nor has the California Energy Commission passed upon the accuracy or adequacy of the information of a competitive electricity market. CERTS is currently conducting research for the U.S. Department of Energy (DOECalifornia's Electricity System of the Future: Scenario Analysis in Support of Public

406

Are price caps the answer for electric utilities  

SciTech Connect

There is no widely acceptable alternative to traditional rate-base/rate-of-return regulation. The industry is keenly interested in the experiment currently unfolding in the telephone industry: the price cap approach being followed by the Federal Communications Commission (FCC) in regulating AT and T, and by many states in regulating local telephone companies. This approach offers an interesting and possibly useful alternative to traditional utility regulation.

Silverman, L.P. (McKinsey and Co., Washington, DC (United States)); Wenner, D.L.; Peters, R.S. (McKinsey and Company, Atlanta, GA (United States))

1991-04-15T23:59:59.000Z

407

Electricity price short-term forecasting using artificial neural networks  

Science Conference Proceedings (OSTI)

This paper presents the System Marginal Price (SMP) short-term forecasting implementation using the Artificial Neural Networks (ANN) computing technique. The described approach uses the three-layered ANN paradigm with back-propagation. The retrospective SMP real-world data, acquired from the deregulated Victorian power system, was used for training and testing the ANN. The results presented in this paper confirm considerable value of the ANN based approach in forecasting the SMP.

Szkuta, B.R.; Sanabria, L.A.; Dillon, T.S. [La Trobe Univ., Melbourne (Australia). Applied Computing Research Inst.

1999-08-01T23:59:59.000Z

408

WORKING PAPER SERIESFEDERAL RESERVE BANK of ATLANTA WORKING PAPER SERIES Trading Institutions and Price Discovery: The Cash and Futures Markets for Crude Oil  

E-Print Network (OSTI)

Abstract: We provide substantial evidence that the futures market for West Texas Intermediate crude oil increased the short-term volatility of the cash price of crude oil. We show that the variability of prices increased using both published posted prices and transaction prices for producers. This increased volatility in the price of crude oil may reflect information aggregated into the price, an increase the variance of shocks to the price of crude oil, or noise in the futures price that affects the cash price. We present evidence from experiments consistent with the interpretation that information aggregation not feasible in a posted-price market can explain at least part of the increase in variance. This evidence supports the proposition that information not previously aggregated into the cash price for crude oil is at least part of the reason for the greater variability of the cash price after the opening of the futures market and provides at least one example in which a futures market increased the volatility of the cash market, and prices became more efficient. JEL classification: G130, G140 Key words: crude oil, futures, posted price, experiments, experimental finance, price discovery, information aggregation

Albert Ballinger; Gerald P. Dwyer; Ann B. Gillette; Albert Ballinger; Gerald P. Dwyer; Ann B. Gillette

2004-01-01T23:59:59.000Z

409

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

410

Short run price elasticity of residential electricity demand within income levels and the implications for CO2 policy.  

E-Print Network (OSTI)

??This thesis investigates the relationship between price and use of electricity in residential homes in order to understand the impact of CO2 policy. A model (more)

Green, Eric

2013-01-01T23:59:59.000Z

411

The Future of Electric Vehicles and Arizona State University's MAIL  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

The Future of Electric Vehicles and Arizona State University's The Future of Electric Vehicles and Arizona State University's MAIL Battery The Future of Electric Vehicles and Arizona State University's MAIL Battery August 11, 2010 - 4:26pm Addthis Cody Friesen and his team at Arizona State University | Photo Credit Arizona State University Cody Friesen and his team at Arizona State University | Photo Credit Arizona State University Andy Oare Andy Oare Former New Media Strategist, Office of Public Affairs What does this mean for me? EV batteries will have the ability to recharge at least 1000 times at a low cost due to its composition of only domestically-sourced, earth abundant material Electric Vehicles are becoming a reality. Last month, the President got behind the wheel of a Chevy Volt in Michigan, and traveled to Smith

412

Electricity storage can take advantage of daily price variations ...  

U.S. Energy Information Administration (EIA)

Electricity storage technologies that can operate on timescales such as hours or days are often deployed at specific times of day to take advantage of variations in ...

413

Dynamic Pricing, Advanced Metering, and Demand Response in Electricity Markets  

E-Print Network (OSTI)

the New England ISO Demand Response Collaborative, a NYSERDACEC Staff. Selected Demand Response Pilots in California:New Principles for Demand Response Planning, Electric Power

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

414

Electricity storage can take advantage of daily price ...  

U.S. Energy Information Administration (EIA)

Electricity storage technologies that can operate on timescales such as hours or days are often deployed at specific times of day to take advantage of ...

415

DOE Hydrogen and Fuel Cells Program Record 5014: Electricity Price Effect on Electrolysis Cost  

NLE Websites -- All DOE Office Websites (Extended Search)

5014 Date: December 15, 2005 5014 Date: December 15, 2005 Title: Electricity Price Effect on Electrolysis Cost Originator: Roxanne Garland Approved by: JoAnn Milliken Date: January 2, 2006 Item: Effect of Electricity Price on Distributed Hydrogen Production Cost (Assumes: 1500 GGE/day, electrolyzer at 76% efficiency, and capital cost of $250/kW) The graph is based on the 2010 target of a 1500 kg/day water electrolysis refueling station described on page 3-12 of the Hydrogen, Fuel Cells and Infrastructure Technologies Program Multi-Year Research, Development and Demonstration Plan, February 2005. The graph uses all the same assumptions associated with the target, except for electricity price: Reference: - 76% efficient electrolyzer - 75% system efficiency

416

Batteries for electric drive vehicles: Evaluation of future characteristics and costs through a Delphi study  

SciTech Connect

Uncertainty about future costs and operating attributes of electric drive vehicles (EVs and HEVs) has contributed to considerable debate regarding the market viability of such vehicles. One way to deal with such uncertainty, common to most emerging technologies, is to pool the judgments of experts in the field. Data from a two-stage Delphi study are used to project the future costs and operating characteristics of electric drive vehicles. The experts projected basic vehicle characteristics for EVs and HEVs for the period 2000-2020. They projected the mean EV range at 179 km in 2000, 270 km in 2010, and 358 km in 2020. The mean HEV range on battery power was projected as 145 km in 2000, 212 km in 2010, and 244 km in 2020. Experts` opinions on 10 battery technologies are analyzed and characteristics of initial battery packs for the mean power requirements are presented. A procedure to compute the cost of replacement battery packs is described, and the resulting replacement costs are presented. Projected vehicle purchase prices and fuel and maintenance costs are also presented. The vehicle purchase price and curb weight predictions would be difficult to achieve with the mean battery characteristics. With the battery replacement costs added to the fuel and maintenance costs, the conventional ICE vehicle is projected to have a clear advantage over electric drive vehicles through the projection period.

Vyas, A.D.; Ng, H.K.; Anderson, J.L.; Santini, D.J.

1997-07-01T23:59:59.000Z

417

Specification, estimation, and forecasts of industrial demand and price of electricity  

Science Conference Proceedings (OSTI)

This paper discusses the specification of electricity-demand and price equations for manufacturing industries and presents empirical results based on the data for 16 Standard Industrial Classification (SIC) three-digit industries from 1959 to 1976. Performances of estimated equations are evaluated by sample-period simulation tests. The estimated coefficients are then used to forecast electricity demand by industry. Results show that most of the estimated coefficients have expected signs and are statistically significant. The estimated equations perform well in terms of sample-period simulation tests, registering small mean absolute percentage errors and mean square percentage errors for most of the industries studied. Forecasted results indicate that total electricity demand by manufacturing industries would grow at an average annual rate of 3.53% according to the baseline forecast, 2.39% in the high-price scenario, and 4.76% in the low-price scenario. The forecasted growth rates vary substantially among industries. The results also indicate that the price of electricity would continue to grow at a faster rate than the general price level in the forecasted period 1977 to 1990. 19 references, 6 tables.

Chang, H.S. (Univ. of Tennessee, Knoxville); Chern, W.S.

1981-01-01T23:59:59.000Z

418

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

In peak pricing tariffs, electricity prices on peak days areIn peak pricing tariffs, electricity prices on peak days areof California electricity pricing tariffs (including RTP,

Ghatikar, Girish

2010-01-01T23:59:59.000Z

419

Electricity Prices in Transition (released in AEO2007)  

Reports and Publications (EIA)

The push by some States to restructure electricity markets progressed rapidly throughout the late 1990s. Although the energy crisis in California during 2000 and 2001 slowed the momentum, 19 States and the District of Columbia currently have some form of restructuring in place. In addition, Washington State, which has not restructured its electricity market, allows its largest industrial customers to choose their suppliers.

Information Center

2007-03-11T23:59:59.000Z

420

Future demand for electricity in the Nassau--Suffolk region  

DOE Green Energy (OSTI)

Brookhaven National Laboratory established a new technology for load forecasting for the Long Island Lighting Company and prepared an independent forecast of the demand for electricity in the LILCO area. The method includes: demand for electricity placed in a total energy perspective so that substitutions between electricity and other fuels can be examined; assessment of the impact of conservation, new technology, gas curtailment, and other factors upon demand for electricity; and construction of the probability distribution of the demand for electricity. A detailed analysis of changing levels of demand for electricity, and other fuels, associated with these new developments is founded upon a disaggregated end-use characterization of energy utilization, including space heat, lighting, process energy, etc., coupled to basic driving forces for future demand, namely: population, housing mix, and economic growth in the region. The range of future events covers conservation, heat pumps, solar systems, storage resistance heaters, electric vehicles, extension of electrified rail, total energy systems, and gas curtailment. Based upon cost and other elements of the competition between technologies, BNL assessed the likelihood of these future developments. An optimistic view toward conservation leads to ''low'' demand for electricity, whereas rapid development of new technologies suggests ''high'' demand. (MCW)

Carroll, T.W.; Palmedo, P.F.; Stern, R.

1977-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Electric demand growth: An uncertain future for uranium  

SciTech Connect

Broadly conceived, the demand for electricity depends upon three sets of variables: (i) the growths of the many individual demands for energy services; (ii) the competitiveness of electrically driven technologies in meeting these demands; and (iii) the energy-conversion efficiencies of installed electrical technologies. The first set of variables establishes the size of the potential market; the second, the market penetration of electrical equipment; and the third, the quantity of electricity required to operate the equipment. All forecasts of electricity consumption ultimately depend upon inferred or assumed relationships to describe the future behavior of these variables. In this paper, the authors review recent forecasts of electricity demand growth. They also examine, in a qualitative way, some of the causes for the systematic, downward revisions of these forecasts over recent years. Graphical presentations of data are extensively used in the discussions. In an important sense, forecasting, whatever the number of variables, remains a matter of ''curve fitting.''

Asbury, J.G.

1985-01-01T23:59:59.000Z

422

Perspectives on the future of the electric utility industry  

SciTech Connect

This report offers perspectives on the future of the electric utility industry. These perspectives will be used in further research to assess the prospects for Integrated Resource Planning (IRP). The perspectives are developed first by examining economic, political and regulatory, societal, technological, and environmental trends that are (1) national and global in scope and (2) directly related to the electric utility industry. Major national and global trends include increasing global economic competition, increasing political and ethnic strife, rapidly changing technologies, and increasing worldwide concern about the environment. Major trends in the utility industry include increasing competition in generation; changing patterns of electricity demand; increasing use of information technology to control power systems; and increasing implementation of environmental controls. Ways in which the national and global trends may directly affect the utility industry are also explored. The trends are used to construct three global and national scenarios- ``business as usual,`` ``technotopia future,`` and ``fortress state`` -and three electric utility scenarios- ``frozen in headlights,`` ``megaelectric,`` and ``discomania.`` The scenarios are designed to be thought provoking descriptions of potential futures, not predictions of the future, although three key variables are identified that will have significant impacts on which future evolves-global climate change, utility technologies, and competition. While emphasis needs to be placed on understanding the electric utility scenarios, the interactions between the two sets of scenarios is also of interest.

Tonn, B. [Oak Ridge National Lab., TN (United States); Schaffhauser, A. [Tennessee Univ., Knoxville, TN (United States)

1994-04-01T23:59:59.000Z

423

1 HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITYA SURVEY OF THE EXPERIMENTAL EVIDENCE  

E-Print Network (OSTI)

Since the energy crisis of 2000-2001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ways to let that happen is to pass through wholesale energy costs to retail customers. This can be accomplished by letting retail prices vary dynamically, either entirely or partly. For the overwhelming majority of customers, that requires a changeout of the metering infrastructure, which may cost as much as $40 billion for the US as a whole. While a good portion of this investment can be covered by savings in distribution system costs, about 40 percent may remain uncovered. This investment gap could be covered by reductions in power generation costs that could be brought about through demand response. Thus, state regulators in many states are investigating whether customers will respond to the higher prices by lowering demand and if so, by how much. To help inform this assessment, we survey the evidence from the 15 most recent experiments with dynamic pricing of electricity. We find conclusive evidence that households (residential customers) respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as the magnitude of the price increase, the presence of central air conditioning and the availability of enabling technologies such as two-way

Ahmad Faruqui; Sanem Sergici

2009-01-01T23:59:59.000Z

424

notice, is given to the source. On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. In contrast, increasing the share of customers

Severin Borenstein; Stephen P. Holland; We Thank Jim Bushnell; Joe Farrell; Morten Hviid; Erin Mansur; Michael Riordan; Lawrence White; Severin Borenstein; Stephen P. Holl

2003-01-01T23:59:59.000Z

425

How and Why Customers Respond to Electricity Price Variability  

E-Print Network (OSTI)

and/or reached a significant milestone in 2011. A few examples are included here to highlight of operation. To prevent electricity outages and enable reliable integration of renewable energy generation

426

Forecasting Electricity Prices in an Optimization Hydrothermal Problem  

Science Conference Proceedings (OSTI)

This paper presents an economic dispatch algorithm in a hydrothermal system within the framework of a competitive and deregulated electricity market. The optimization problem of one firm is described

J. M. Matas; L. Bayn; P. Surez; A. Argelles; J. Taboada

2007-01-01T23:59:59.000Z

427

Modelling commodity prices in the Australian National Electricity Market.  

E-Print Network (OSTI)

??Beginning in the early 1990s several countries, including Australia, have pursued programs of deregulation and restructuring of their electricity supply industries. Dissatisfaction with state-run monopoly (more)

Thomas, S

2007-01-01T23:59:59.000Z

428

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

E-Print Network (OSTI)

In implementing an integrated electric utility network, direct communication between the utility and customers is an important component. The rapid penetration of computer building control technology in larger commercial and industrial customers 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 (RTP) efforts by discussing the procedures and technical requirements for transferring prices to the EMCS. The perspectives and objectives of the customer and the utility will also be discussed. We will discuss how price information can be used by the customer and the EMCS to implement demand-limiting strategies, both in currently available demand-management algorithms, and in potential price-responsive cost-management algorithms.

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

429

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

E-Print Network (OSTI)

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 supply arrangements based on incremental production costs. Industrial customers receive hourly price quotes for electrical power through a direct computer link between TVA and the customer. The customer has the option to increase or decrease the amount of power requested in response to price signals, plant load conditions, or production requirements. This paper will describe the arrangements for the sale and use of ESP, including the communication system, pricing variations, use of curtailment rights, the types of customers currently participating in the program, and recent modifications.

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

1991-06-01T23:59:59.000Z

430

Concept for Management of the Future Electricity System (Smart Grid  

Open Energy Info (EERE)

Concept for Management of the Future Electricity System (Smart Grid Concept for Management of the Future Electricity System (Smart Grid Project) Jump to: navigation, search Project Name Concept for Management of the Future Electricity System Country Denmark Coordinates 56.26392°, 9.501785° Loading map... {"minzoom":false,"mappingservice":"googlemaps3","type":"ROADMAP","zoom":14,"types":["ROADMAP","SATELLITE","HYBRID","TERRAIN"],"geoservice":"google","maxzoom":false,"width":"600px","height":"350px","centre":false,"title":"","label":"","icon":"","visitedicon":"","lines":[],"polygons":[],"circles":[],"rectangles":[],"copycoords":false,"static":false,"wmsoverlay":"","layers":[],"controls":["pan","zoom","type","scale","streetview"],"zoomstyle":"DEFAULT","typestyle":"DEFAULT","autoinfowindows":false,"kml":[],"gkml":[],"fusiontables":[],"resizable":false,"tilt":0,"kmlrezoom":false,"poi":true,"imageoverlays":[],"markercluster":false,"searchmarkers":"","locations":[{"text":"","title":"","link":null,"lat":56.26392,"lon":9.501785,"alt":0,"address":"","icon":"","group":"","inlineLabel":"","visitedicon":""}]}

431

Own-price and income elasticities for household electricity demand : a survey of literature using meta-regression analysis.  

E-Print Network (OSTI)

??Maria Wist Langmoen Own-price and income elasticities for household electricity demand -A Literature survey using meta-regression analysis Economists have been modelling the electricity demand for (more)

Langmoen, Maria Wist

2004-01-01T23:59:59.000Z

432

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

E-Print Network (OSTI)

demand growth. Current electricity market designs are being reviewed to avoid supply difficulties concept, named "capacity tag" for each plant is being proposed and in the FERC/EU direc- tives in the US INTERRUPTED MARKETS OPERATING COUNTRIES WITH POWER ADJUSTMENTS INTHE REFORM PROCESS INTERESTED INTHE NEW

Rudnick, Hugh

433

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

the forecast. In 1978 the Natural Gas Policy Act was passedof Other Natural Gas Price Forecasts Researchers and policyresearchers and policy makers who utilize natural gas prices

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

2005-01-01T23:59:59.000Z

434

Fuel used in electricity generation is projected to shift over the ...  

U.S. Energy Information Administration (EIA)

Projected fuel prices and economic growth are key factors influencing the future electricity generation mix. The price of natural gas, coal's chief competitor, ...

435

Electricity price impacts of alternative Greenhouse gas emission cap-and-trade programs  

SciTech Connect

Limits on greenhouse gas emissions would raise the prices of the goods and services that require such emissions for their production, including electricity. Looking at a variety of emission limit cases and scenarios for selling or allocating allowances to load-serving entities, the authors estimate how the burden of greenhouse gas limits are likely to be distributed among electricity consumers in different states. (author)

Edelston, Bruce; Armstrong, Dave; Kirsch, Laurence D.; Morey, Mathew J.

2009-07-15T23:59:59.000Z

436

Household Response To Dynamic Pricing Of Electricity: A Survey Of The  

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

437

Electricity Load and Carbon Dioxide Emissions: Effects of a Carbon Price in the Short Term  

Science Conference Proceedings (OSTI)

acceptable levels will require a dramatic de-carbonization of the electric generation sector in the U.S. One increasingly discussed way to meet this policy goal is to put an explicit price on carbon emissions, either through a tax or a trading scheme. ...

Adam Newcomer; Seth Blumsack; Jay Apt; Lester B. Lave; M. Granger Morgan

2008-01-01T23:59:59.000Z

438

Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems  

DOE Green Energy (OSTI)

To identify the impacts of regional electricity prices and building type on the economics of solar photovoltaic (PV) systems, 207 rate structures across 77 locations and 16 commercial building types were evaluated. Results for expected solar value are reported for each location and building type. Aggregated results are also reported, showing general trends across various impact categories.

Ong, S.; Campbell, C.; Clark, N.

2012-12-01T23:59:59.000Z

439

Implications of Lower Natural Gas Prices for Electric Generators in the Southeast, The  

Reports and Publications (EIA)

This supplement to the Energy Information Administration's (EIA) May 2009 Short-Term Energy Outlook (STEO) focuses on changes in the utilization of coal- and natural-gas-fired generation capacity in the electric utility sector as the differential between delivered fuel prices narrows.

Information Center

2009-05-12T23:59:59.000Z

440

CPI anticipates price benefits in an open electricity market - but utilities `will erect roadblocks`  

SciTech Connect

Chemical manufacturers and industrial gas firms welcome the coming deregulation of electricity because the change offers them competitive choice in power supplies. They anticipate price benefits like those that have flowed from natural gas deregulation, which feed from manufacturers to bypass local utilities and shop for their own fuel supplies.

Pospisil, R.

1994-11-23T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Behavioral Aspects in Simulating the Future US Building Energy Demand  

E-Print Network (OSTI)

Natural gas price Electricity price ? - PV ? - lighting ? -Natural gas price Electricity price ? - PV ? - lighting ? -of Natural gas price this Electricity price relationship is

Stadler, Michael

2011-01-01T23:59:59.000Z

442

Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices  

E-Print Network (OSTI)

This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England and Wales (E&W) electricity market. These customers also face the possibility of a demand charge on its electricity consumption during the three half-hour periods that are coincident with E&W system peaks. Although energy charges are largely known by 4 PM the day prior to consumption, a fraction of the energy charge and the identity of the half-hour periods when demand charges occur are only known with certainty ex post of consumption. Four years of data from a Regional Electricity Company (REC) in the United Kingdom is used to quantify the half-hourly customer-level demands under this real-time pricing program. The econometric model developed and estimated here quantifies the extent of intertemporal substitution in electricity consumption across pricing periods within the day due to changes ...

Robert H. Patrick; Frank A. Wolak

1997-01-01T23:59:59.000Z

443

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

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

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

2005-08-25T23:59:59.000Z

444

Time-of-use electricity price effects: summary I  

SciTech Connect

In 1975 the Federal Energy Administration, now the Department of Energy (DOE), initiated 16 rate-demonstration projects. This report summarizes a standardized analysis of data from the residential portion of six of those projects: Arizona, Connecticut, Ohio, Rhode Island, Wisconsin, and the Blue Ridge Electric Membership Corporation study of the North Carolina project. A brief description of the DOE rate-demonstration program is provided along with a statement of RTI's objectives in the analysis of TOU rate effects. The report also summarizes the individual project results, which indicate that the experimental TOU rates generally reduced both peak-period and total electricity usage on both average and peak days, since off-peak usage was usually about the same for both TOU and control customers. Analysis methods and data limitations are fully described and additional details on project specific results are given. Some qualitative conclusions and impressions about TOU rates that have been suggested by these analyses are offered.

Miedema, A.K.; White, S.B.

1980-06-01T23:59:59.000Z

445

Electric  

U.S. Energy Information Administration (EIA)

Average Retail Price of Electricity to ... Period Residential Commercial Industrial ... or usage falling within specified limits by rate ...

446

Distributional and socioeconomic impacts of electricity price increases on the Puerto Rican population. Volume 2  

Science Conference Proceedings (OSTI)

The purpose of this study is to analyze the socio-economic impacts of changes in energy prices and availability upon the low income minorities in Puerto Rico. This volume presents both the theoretical and empirical aspect of this research. Chapter two includes a review of the literature on the demand for electricity. Chapter three analyzes the present electricity rate structure and its implications on equity and energy conservation. In chapter four data available from the Puerto Rico Electric Power Authority is used to analyze the concentration of electricity consumption and, to estimate several models of demand functions fitted to be estimated with time-series data. Chapter five describes the household survey undertaken to get information on residential electricity consumption in Puerto Rico. The information obtained was used in chapter six to analyze several aspects of electric energy consumption in Puerto Rico. Among these: the price-consumption relationship, the income-consumption relationship, energy conservation patterns, subsidy impact on conservation, and equity considerations on the electricity consumption subsidy. These issues were examined using cross tabulation and regression analysis techniques. Finally, chapter nine (9) develops a simulation model to analyze the impact of different policy alternatives on electricity rate structures. 7 figures, 43 tables.

Rodriguez, E.; Ocasio, W.; Torres, S.; Zalacain, F.; Lugo, S.

1983-03-01T23:59:59.000Z

447

International Natural Gas Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation for Selected Countries1 Electricity Generation for Selected Countries1 U.S. Dollars per 107 Kilocalories - Gross Calorific Value2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA NA NA NA Australia NA NA NA NA NA NA NA NA NA Austria NA NA NA NA NA NA NA NA NA Barbados NA NA NA NA NA NA NA NA NA Belgium C C C C C C C C C Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA NA NA NA Canada 145.5 144.7 174.9 171.9 225.2 NA NA NA NA Chile NA NA NA NA NA NA NA NA NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 244.7 252.1 258.6 281.0 326.2 348.5 400.8 499.3 NA

448

The Electricity Transmission System Future Vision & Grid Challenges  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Future Vision & Grid Challenges Future Vision & Grid Challenges Summary Results of Breakout Group Discussions Electricity Transmission Workshop Double Tree Crystal City, Arlington, Virginia November 1, 2012 Breakout Group Discussion Overview Future Vision and Grid Challenges Each of the four breakout groups identified the key challenges facing the grid as it integrates all of the various technologies that are (or will be) deployed while ensuring a safe, reliable, and cost-effective system as described in the Future Vision. Utilizing the Grid Tech Team framework, each group identified integration challenges through a systems-based discussion that addressed all of the following topics: * Grid Visibility What challenges in the informational domain (sensors and relays, AMIs, PMUs, end-use energy

449

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

8. Coal and Retail Electricity Prices and Expenditures, Ranked by State, 2011 Rank Coal Retail Electricity Prices Expenditures Prices Expenditures State Dollars per Million Btu...

450

IRP and the electricity industry of the future: Workshop results  

SciTech Connect

During the next several years, the U.S. electricity industry is likely to change dramatically. Instead of an industry dominated by vertically integrated companies that are regulated primarily by state public utility commissions, we may see an industry with many more participants and less regulation. These new participants may include independent power producers, entities that dispatch and control power plants on a real-time basis, entities that build and maintain transmission networks, entities that build and maintain distribution systems and also sell electricity and related to services to some retail customers, and a variety of other organizations that sell electricity and other services to retail customers. Because markets are intended to be the primary determinant of success, the role of state and federal regulators might be less than it has been in the past. During the past decade, utilities and state regulators have developed new ways to meet customer energy-service needs, called integrated resource planning (IRP). IRP provides substantial societal benefits through the consideration and acquisition of a broad array of resources, including renewables and demand-side management (DSM) programs as well as traditional power plants-, explicit consideration of the environmental effects of electricity production and transmission; public participation in utility planning; and attention to the uncertainties associated with different resources, future demands for electricity, and other factors. IRP might evolve in different ways as the electricity industry is restructured (Table S-I). To explore these issues, we ran a Workshop on IRP and the Electricity Industry of the Future in July 1994. This report presents the wisdom and experience of the 30 workshop participants. To focus discussions, we created three scenarios to represent a few of the many ways that the electricity industry might develop.

Tonn, B.; Hirst, E.; Bauer, D.

1994-09-01T23:59:59.000Z

451

Controlling Market Power and Price Spikes in Electricity Networks: Demand-side Bidding  

E-Print Network (OSTI)

Simona Lup, Jia Jing Liu and Stephen Sosnicki for help with running the experiments and testing the software. This paper has benefited from comments from Kevin McCabe, Mark Olson, Dave Porter, and Stan Reynolds, but all errors are our own. The data are available upon request from the authors. Controlling Market Power and Price Spikes in Electricity Networks: Demand-Side Bidding In this paper we report experiments that examine how two structural features of electricity networks contribute to the exercise of market power in deregulated markets. The first feature is the distribution of ownership of a given set of generating assets. In the market power treatment, two large firms are allocated baseload and intermediate cost generators such that either firm might unilaterally withhold the capacity of its intermediate cost generators from the market to benefit from the supracompetitive prices that would result from only selling its baseload units. In the converse treatment, ownership of some of the intermediate cost generators is transferred from each of these firms to two other firms, so that no one firm could unilaterally restrict output to spawn supra-competitive prices. The second feature explores how the presence of line constraints in a radial network may segment the market and promote supra-competitive pricing in the isolated market segments. We also consider the interaction effect when both of these structural features are present. Having established a wellcontrolled data set with price spikes paralleling those observed in the naturally occurring economy, we also extend the design to include demand-side bidding. We find that demand-side bidding completely neutralizes the exercise of market power and eliminates price spikes.

Stephen J. Rassenti; Vernon L. Smith; Bart J. Wilson

2003-01-01T23:59:59.000Z

452

Is Real-Time Pricing Green?: The Environmental Impacts of Electricity Demand Variance  

E-Print Network (OSTI)

for responding to real-time prices. 3 Recently someof RTP. the higher real-time price, each would use lessretail price, p . For real-time prices below the ?at price,

Holland, Stephen P.; Mansur, Erin T.

2004-01-01T23:59:59.000Z

453

Time-of-use electricity price effects. Final report  

SciTech Connect

In 1975 the Federal Energy Administration, now the Department of Energy (DOE), initiated 16 rate demonstration projects. This report summarizes a standardized analysis of data from the residential portion of 11 of those projects: Arizona, Arkansas, Connecticut, Los Angeles, North Carolina (Blue Ridge Electric Membership Corporation), North Carolina (Carolina Power and Light Company), Ohio, Oklahoma, Puerto Rico, Rhode Island, and Wisconsin. A brief description of the DOE rate demonstration program is provided along with a statement of RTI's objectives in the analysis of TOU rate effects. The report also describes methods and estimation models used for the studies. Details of experimental design and analysis results are given for individual projects analyzed by RTI. Finally, some general observations about the impacts of TOU rates that have been suggested by these analyses are offered. A review of the analytical findings suggests that experimental TOU rates generally reduced peak-period consumption on both average and system peak days. The reductions tended to be larger on system peak days than on average days. Since off-peak consumption was usually about the same for both TOU and control customers, total daily usage by TOU customers was generally reduced. The studies also indicate that high-usage customers responded to TOU rates more sensitively than low-usage customers, suggesting that an effective implementation of a TOU rate schedule may initially be limited to high-usage customers.

Miedema, A.K.; Lee, K.K.; White, S.B.

1981-11-01T23:59:59.000Z

454

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

E-Print Network (OSTI)

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

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

455

Using artificial neural networks to forecast the futures prices of crude oil  

Science Conference Proceedings (OSTI)

Crude oil is the commodity de jour and its pricing is of paramount importance to the layperson as well as to any responsible government. However, one of the main challenges facing econometric pricing models is the forecasting accuracy. ...

Hassan A. Khazem / A. K. Mazouz

2008-01-01T23:59:59.000Z

456

Future Electricity Supplies MIT ENGINEERING SYSTEMS SYMPOSIUM (31 Mar 04, pg. 1) FUTURE ELECTRICITY SUPPLIES  

E-Print Network (OSTI)

and Europe have re- energized the debate over aging electricity and other infrastructures. Whether long. To these "common" challenges we must add now infrastructure security and long-term environmental stewardship bulbs, or household appliances. Energy "utilization" efficiency opportunities however offer great

de Weck, Olivier L.

457

The Natural Number of Forward Markets for Electricity  

E-Print Network (OSTI)

between electricity and natural-gas futures prices, Journaldelivery month). That is, natural gas for April, 1998 wasin the Petroleum, Natural Gas, and Electricity Industries.

Suenaga, Hiroaki; Williams, Jeffrey

2005-01-01T23:59:59.000Z

458

Determining the effects on residential electricity prices and carbon emissions of electricity market restructuring in Alberta.  

E-Print Network (OSTI)

??When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the (more)

Jahangir, Junaid Bin

2011-01-01T23:59:59.000Z

459

A Distinctive Energy Policy for Scotland? The Impact of Low Carbon Generation on the Future Price of  

E-Print Network (OSTI)

A Distinctive Energy Policy for Scotland? The Impact of Low Carbon Generation on the Future Price Distinctive Energy Policy for Scotland?' explores the emergence of a distinctive energy policy for Scotland and raises the issue of the desirability of any differentiation from UK energy policy. Although

Mottram, Nigel

460

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

E-Print Network (OSTI)

2 permits, and NOx permits. Coal prices are assumed constantfalling average price is stronger, and coal-?red operatinghourly supply (price > $30) Load Coal Oil Gas Panel C:

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" 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

Easing the Natural Gas Crisis: Reducing Natural Gas Prices Through Electricity Supply Diversification -- Testimony  

E-Print Network (OSTI)

present concerns about natural gas prices and the findingsEconomy (ACEEE). 2003. Natural Gas Price Effects of EnergyGas Crisis: Reducing Natural Gas Prices through Increased

Wiser, Ryan

2005-01-01T23:59:59.000Z

462

Spot pricing of electricity and ancillary services in a competitive California market  

Science Conference Proceedings (OSTI)

Typically, in competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, cease to exist. The burden falls to an independent system operator (ISO) to ensure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, spot markets for both electricity and AS are modeled. By assuming that each participant seeks to maximize its wealth and that all markets clear, we solve for the optimal quantities of electricity and AS traded in the spot market by all participants, as well as the market clearing prices for each.

Siddiqui, A.S.; Marnay, C.; Khavkin, M.

2000-11-01T23:59:59.000Z

463

Presentation to EAC: Renewable Electricity Futures Activities & Status, October 29, 2010  

Energy.gov (U.S. Department of Energy (DOE))

Presentation to the Electricity Advisory Committee, October 29, 2010,on Renewable Electricity Futures Activities & Status. The presentation provides a high-level overview of the Renewable...

464

Operation of Distributed Generation Under Stochastic Prices  

E-Print Network (OSTI)

increases with electricity price volatility as expected,Intuitively, as the electricity price becomes more volatile,between it and the electricity price, there will be fewer

Siddiqui, Afzal S.; Marnay, Chris

2005-01-01T23:59:59.000Z

465

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

2009. To What Electricity Price Do Consumers Respond?faced with nonlinear electricity price schedules. Nonlinearrates and multi-tier electricity prices, complicate economic

Ito, Koichiro

2011-01-01T23:59:59.000Z

466

Uncertainty Representation: Estimating Process Parameters for Forward Price Forecasting  

Science Conference Proceedings (OSTI)

Market prices set the value of electric power assets and contracts, yet forward prices are unavailable for time horizons relevant to most valuations. Price forecasts are inherently uncertain because the drivers of prices are uncertain, but equilibrating market forces also work to reduce the growth of uncertainty over time. Consequently, quantifying the degree of future price uncertainty is difficult, but has tremendous strategic potential for power companies seeking to value real options and invest in fl...

1999-12-10T23:59:59.000Z

467

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

468

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

E-Print Network (OSTI)

??This paper attempts to understand the price dynamics of the North American natural gas market through a statistical survey that includes an analysis of the (more)

Fazzio, Thomas J. (Thomas Joseph)

2010-01-01T23:59:59.000Z

469

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

E-Print Network (OSTI)

35 Panel B: Hourly real-time prices Mean change std. dev.of the e?ciency gains of real-time price variation could beof the customers pay real-time prices, i.e. , retail prices

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

470

Table 11b. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

b. Coal Prices to Electric Generating Plants, Projected vs. Actual" b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.502753725,1.549729719,1.64272351,1.727259934,1.784039735,1.822135762,1.923203642,2.00781457,2.134768212,2.217425497,2.303725166,2.407715232,2.46134106,2.637086093,2.775389073,2.902293046,3.120364238,3.298013245 "AEO 1995",,1.4212343,1.462640338,1.488780998,1.545300242,1.585877053,1.619428341,1.668671498,1.7584219,1.803937198,1.890547504,1.968695652,2.048913043,2.134750403,2.205281804,2.281690821,2.375434783,2.504830918 "AEO 1996",,,1.346101641,1.350594221,1.369020126,1.391737646,1.421340737,1.458772082,1.496497523,1.561369914,1.619940033,1.674758358,1.749420803,1.800709877,1.871110564,1.924495246,2.006850327,2.048938234,2.156821499

471

Table 11a. Coal Prices to Electric Generating Plants, Projected vs. Actual  

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47 1.50 AEO 1996 1994 1.32 1.29 1.28 1.27 1.26 1.26 1.25 1.27 1.27 1.27 1.28 1.27 1.28 1.27 1.28 1.26 1.28

472

How to alleviate the electricity scarcity in Guangxi : an analysis of electricity pricing.  

E-Print Network (OSTI)

??With the rapid economic growth and the increase of the population, Guangxi, a province with abundant hydropower resource, is facing a severe electricity shortage problem. (more)

Xie, Siping

2006-01-01T23:59:59.000Z

473

Entry into the Swedish Wholesale Electricity Market and the Electricity Price.  

E-Print Network (OSTI)

?? The aim of this paper is to analyze the strategic behavior of the leading firms on the Swedish wholesale electricity market. This thesis wishes (more)

Bhatia, Martina

2010-01-01T23:59:59.000Z

474

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

and imports U.S. electricity and gas markets includingrepresentation of electricity and natural gas markets,initially to conduct electricity restructuring analysis in

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

2005-01-01T23:59:59.000Z

475

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

476

LNG price parity with oil clouds future of European gas market  

Science Conference Proceedings (OSTI)

Europe's international gas trade may have to mark time while the gas industry determines whether the fuel can remain competitive in the wake of Algeria's recent political victory - a high price for its LNG exports to France. Potential gas buyers will face sellers seeking to emulate the $5.10/million Btu price level. The latest conflict, between Algeria and Italy, is preventing start-up of the completed trans-Mediterranean pipeline. Large gas-price increases across Europe would prompt bulk steam-raisers to move to other fuels; the premium household and commercial markets would not be able to absorb the surplus. If the trend of LNG price parity with crude continues, gas could lose a substantial share of its European market and LNG projects will continue to be abandoned.

Vielvoye, R.

1982-04-19T23:59:59.000Z

477

Recently, S&P 500 Index and WTI crude oil futures price ...  

U.S. Energy Information Administration (EIA)

Over the past few weeks (July 1 through August 19), the movement of oil prices has closely mirrored that of the Standard and Poors (S&P) 500 Index.

478

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

Science Conference Proceedings (OSTI)

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

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

2011-04-18T23:59:59.000Z

479

Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects  

E-Print Network (OSTI)

electric vehicle industry within Los Angeles.The analysis isanalysis of a prospective electric vehicle industry, Losanalysis, an investment in the electric vehicle industry is

Scott, Allen J.

1993-01-01T23:59:59.000Z

480

Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects  

E-Print Network (OSTI)

Opinions Towards the Electric Car Industry from a Survey ofan investmentin the electric car project mustexceedthisthat establish a market for electric cars in the state by

Scott, Allen J.

1993-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "future electricity price" from the National Library of EnergyBeta (NLEBeta).
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481

Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects  

E-Print Network (OSTI)

the production of electric vehicle componentswill result an1992. "Hot Sales of Electric Vehicles." p. El. Sharpe, W. ,1992. "Battery and Electric Vehicle Update." September1992.

Scott, Allen J.

1993-01-01T23:59:59.000Z

482

Electric Vehicle Manufacturing in Southern California: Current Developments, Future Prospects  

E-Print Network (OSTI)

Factors Affecting the Electric Vehicle Industry in SouthernProduction 3.4. An Electric Vehicle Industry for SouthernChapter Eight: The Electric Vehicle Industry In Southern

Scott, Allen J.

1993-01-01T23:59:59.000Z

483

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

Science Conference Proceedings (OSTI)

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

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

1995-02-01T23:59:59.000Z

484

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

485

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

E-Print Network (OSTI)

who are charged real-time prices. I discuss the politicalor loss relative to the real-time price that obtains in eachits expected demand at the real-time price. Throughout this

Borenstein, Severin

2007-01-01T23:59:59.000Z

486

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

E-Print Network (OSTI)

then pay/receive the real- time price for deviations fromI assume that the retail real-time prices customers face arewould likely dampen real-time price volatility and the

Borenstein, Severin

2007-01-01T23:59:59.000Z

487

Electricity Pricing Structures for the 21st Century: Remodeling or New Construction? A Summary of Workshop Presentations and Dialogu e  

Science Conference Proceedings (OSTI)

EPRI's workshop on the topic of Electricity Pricing Structures for the 21st Centurywas held on July 14th and 15th, 2011 in Nashville, Tennessee, and was co-hosted by the Tennessee Valley Authority. It was the first of two workshops intended to delve into various aspects of customer behavior specifically, what factors drive electricity consumption decisions. Together with the second workshop (Understanding How Customers Value and Use Electricity, October 2011, co-hosted by CPS Energy), the knowledge gathe...

2011-08-31T23:59:59.000Z

488

What Do You Think of Electric 'Cars of the Future'? | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

Think of Electric 'Cars of the Future'? Think of Electric 'Cars of the Future'? What Do You Think of Electric 'Cars of the Future'? April 29, 2010 - 7:30am Addthis On Tuesday, Shannon wrote about plug-in hybrid electric vehicles and all-electric vehicles. DOE is has a number of projects in the works to encourage development and adoption of these vehicles. While the flying "cars of the future" we imagined in years past have not come to fruition, plug-in and all-electric vehicles have given us a new vision for the "cars of the future," and it's an efficient one! What do you think of electric "cars of the future"? Each Thursday, you have the chance to share your thoughts on a question about energy efficiency or renewable energy for consumers. Please comment with your answers, and also feel free to respond to other comments. E-mail

489

What Do You Think of Electric 'Cars of the Future'? | Department of Energy  

Energy.gov (U.S. Department of Energy (DOE)) Indexed Site

What Do You Think of Electric 'Cars of the Future'? What Do You Think of Electric 'Cars of the Future'? What Do You Think of Electric 'Cars of the Future'? April 29, 2010 - 7:30am Addthis On Tuesday, Shannon wrote about plug-in hybrid electric vehicles and all-electric vehicles. DOE is has a number of projects in the works to encourage development and adoption of these vehicles. While the flying "cars of the future" we imagined in years past have not come to fruition, plug-in and all-electric vehicles have given us a new vision for the "cars of the future," and it's an efficient one! What do you think of electric "cars of the future"? Each Thursday, you have the chance to share your thoughts on a question about energy efficiency or renewable energy for consumers. Please comment

490

Renewable Electricity Futures Study. Volume 4: Bulk Electric Power Systems: Operations and Transmission Planning  

NLE Websites -- All DOE Office Websites (Extended Search)

Bulk Electric Power Systems: Bulk Electric Power Systems: Operations and Transmission Planning Volume 4 of 4 Volume 2 PDF Volume 3 PDF Volume 1 PDF Volume 4 PDF NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U.S. Department of Energy DeMeo, E. Renewable Energy Consulting Services, Inc. Reilly, J.M. Massachusetts Institute of Technology Mai, T. National Renewable Energy Laboratory Arent, D. Joint Institute for Strategic Energy Analysis Porro, G. National Renewable Energy Laboratory Meshek, M. National Renewable Energy Laboratory Sandor, D. National Renewable

491

Renewable Electricity Futures Study. Volume 2: Renewable Electricity Generation and Storage Technologies  

NLE Websites -- All DOE Office Websites (Extended Search)

Renewable Electricity Generation Renewable Electricity Generation and Storage Technologies Volume 2 of 4 Volume 2 PDF Volume 3 PDF Volume 1 PDF Volume 4 PDF NREL is a national laboratory of the U.S. Department of Energy, Office of Energy Efficiency and Renewable Energy, operated by the Alliance for Sustainable Energy, LLC. Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U.S. Department of Energy DeMeo, E. Renewable Energy Consulting Services, Inc. Reilly, J.M. Massachusetts Institute of Technology Mai, T. National Renewable Energy Laboratory Arent, D. Joint Institute for Strategic Energy Analysis Porro, G. National Renewable Energy Laboratory Meshek, M. National Renewable Energy Laboratory Sandor, D. National Renewable

492

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

Science Conference Proceedings (OSTI)

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

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

2004-07-01T23:59:59.000Z

493

Natural Gas Wellhead Price  

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

included in Prices Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

494

Breakeven Prices for Photovoltaics on Supermarkets in the United States  

DOE Green Energy (OSTI)

The photovoltaic (PV) breakeven price is the PV system price at which the cost of PV-generated electricity equals the cost of electricity purchased from the grid. This point is also called 'grid parity' and can be expressed as dollars per watt ($/W) of installed PV system capacity. Achieving the PV breakeven price depends on many factors, including the solar resource, local electricity prices, customer load profile, PV incentives, and financing. In the United States, where these factors vary substantially across regions, breakeven prices vary substantially across regions as well. In this study, we estimate current and future breakeven prices for PV systems installed on supermarkets in the United States. We also evaluate key drivers of current and future commercial PV breakeven prices by region. The results suggest that breakeven prices for PV systems installed on supermarkets vary significantly across the United States. Non-technical factors -- including electricity rates, rate structures, incentives, and the availability of system financing -- drive break-even prices more than technical factors like solar resource or system orientation. In 2020 (where we assume higher electricity prices and lower PV incentives), under base-case assumptions, we estimate that about 17% of supermarkets will be in utility territories where breakeven conditions exist at a PV system price of $3/W; this increases to 79% at $1.25/W (the DOE SunShot Initiative's commercial PV price target for 2020). These percentages increase to 26% and 91%, respectively, when rate structures favorable to PV are used.

Ong, S.; Clark, N.; Denholm, P.; Margolis, R.

2013-03-01T23:59:59.000Z

495

Comparing Price Forecast Accuracy of Natural Gas Models and Futures Markets  

E-Print Network (OSTI)

Policy Office Electricity Modeling System POEMS U.S. Department of Energy NANGAS/IPM NANGAS North American

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

2005-01-01T23:59:59.000Z

496

Impacts of time-of-day on average electricity prices and utility load factors  

SciTech Connect

A degree of rationalism is brought to the rate debate between marginalist time of day advocates and embedded cost traditionalists by an empirical analysis. Studies show that neither side can claim victory. The results show that blanket statements cannot be made concerning the impacts of TOD in demand and load factor, and that rates reduce only slightly. This paper summarizes the impacts of marginal cost TOD rates on peak demand, generation, load factor, and the average price of electricity. The methodology includes calculation of marginal cost, prediction of effect of TOD on load shapes by means of a Load Curve Forecasting model, and a production costing model. A matrix shows that impacts of TOD rates on individual utilities will depend on the specific utility customer mix, load shape, and generation mix.

Chamberlin, J.H.; Dickson, C.T.; Spann, R.M.

1982-06-01T23:59:59.000Z

497

EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day?  

NLE Websites -- All DOE Office Websites (Extended Search)

EREV and BEV Economic Viability vs. EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day? By Dan Santini Argonne National Laboratory dsantini@anl.gov Remarks are attributable only to the author; not to Argonne or U.S. Department of Energy NAATBatt Conference: The Impact of PEVs on T&D Systems: Challenges and Solutions Dec. 7, 2010 The submitted manuscript has been created by Argonne National Laboratory, a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC, under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up, nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly,

498

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (X stands for exogenous/fundamental variable system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

499

Behavioral Aspects in Simulating the Future US Building Energy Demand  

E-Print Network (OSTI)

On-site PV Historical PV price and adoption levels PV ? (gas price Electricity price ? - PV ? - lighting ? - heating/gas price Electricity price ? - PV ? - lighting ? - heating/

Stadler, Michael

2011-01-01T23:59:59.000Z

500

Oil futures price curve has steepened over the past six months ...  

U.S. Energy Information Administration (EIA)

... the future can be used as an indicator of longer term supply and demand expectations. Costs to store oil, opportunity costs associated with long-term market ...