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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

Futures pricing in electricity markets based on stable CARMA spot models  

E-Print Network (OSTI)

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

Gerkmann, Ralf

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

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)

4

Natural Gas Futures Prices (NYMEX)  

Annual Energy Outlook 2012 (EIA)

Nov-14 View History Spot Price Henry Hub 4.59 4.05 3.91 3.92 3.78 4.12 1997-2014 NGPL Composite 10.17 9.94 9.69 9.86 8.75 2009-2014 Futures Prices Contract 1 4.59 4.02 3.90 3.92...

5

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

E-Print Network (OSTI)

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

Kallsen, Jan

6

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

7

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

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

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

8

Electricity price forecasting: A review of the state-of-the-art with a look into the future  

Science Journals Connector (OSTI)

Abstract A variety of methods and ideas have been tried for electricity price forecasting (EPF) over the last 15 years, with varying degrees of success. This review article aims to explain the complexity of available solutions, their strengths and weaknesses, and the opportunities and threats that the forecasting tools offer or that may be encountered. The paper also looks ahead and speculates on the directions EPF will or should take in the next decade or so. In particular, it postulates the need for objective comparative EPF studies involving (i) the same datasets, (ii) the same robust error evaluation procedures, and (iii) statistical testing of the significance of one models outperformance of another.

Rafa? Weron

2014-01-01T23:59:59.000Z

9

Renewable Electricity Futures Study  

E-Print Network (OSTI)

Renewable Electricity Futures Study End-use Electricity Demand Volume 3 of 4 Volume 2 PDF Volume 3;Renewable Electricity Futures Study Edited By Hand, M.M. National Renewable Energy Laboratory Baldwin, S. U Sandor, D. National Renewable Energy Laboratory Suggested Citations Renewable Electricity Futures Study

10

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

11

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

12

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.

2012-11-01T23:59:59.000Z

13

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

14

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.

Hand, M. M.

2012-09-01T23:59:59.000Z

15

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

E-Print Network (OSTI)

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

Lyuu, Yuh-Dauh

16

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:for the hourly spot electricity prices reported by PJM.

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

17

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:for the hourly spot electricity prices reported by PJM.

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

18

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

19

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 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

20

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

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

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

22

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 a webinar given by the California Energy Commission.

Hand, M. M.

2012-08-01T23:59:59.000Z

23

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

24

Understanding Price Volatility in Electricity Markets  

Science Journals Connector (OSTI)

This paper illustrates notions of volatility associated with power systems spot prices for electricity. The paper demonstrates a frequency-domain method useful to separate out periodic price variations from random variations. It then uses actual observed ... Keywords: electricity spot pricing, risk management

Fernando L. Alvarado; Rajesh Rajaraman

2000-01-01T23:59:59.000Z

25

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

2010-01-01T23:59:59.000Z

26

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 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

27

Price discovery in crude oil futures  

Science Journals Connector (OSTI)

Abstract This study examines price discovery among the two most prominent price benchmarks in the market for crude oil, WTI sweet crude and Brent sweet crude. Using data on the most active futures contracts measured at the one-second frequency, we find that WTI maintains a dominant role in price discovery relative to Brent, with an estimated information share in excess of 80%, over a sample from 2007 to 2012. Our analysis is robust to different decompositions of the sample, over pit-trading sessions and non-pit trading sessions, segmentation of days associated with major economic news releases, and data measured to the millisecond. We find no evidence that the dominant role of WTI in price discovery is diminished by the price spread between Brent that emerged in 2008.

John Elder; Hong Miao; Sanjay Ramchander

2014-01-01T23:59:59.000Z

28

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 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

29

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

30

Modelling locational price spreads in competitive electricity markets; applications for transmission rights valuation and replication  

Science Journals Connector (OSTI)

......price of fuel (oil, gas, and coal...feeds into the price of electricity...the emergence of heating and cooling degree...locational power price risk. Changes...derivatives (heating and cooling degree...supply side, the price of fuel for power...Futures contracts on oil and gas, both......

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

31

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

32

Coal ban could heat up electricity prices  

Science Journals Connector (OSTI)

Coal ban could heat up electricity prices ... The U.S. EPAs new report on the economic impact of the bill suggests it would cost households $100?140 per year by 2030. ...

Janet Pelley

2009-05-13T23:59:59.000Z

33

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

E-Print Network (OSTI)

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

34

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

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

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...

35

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

36

ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS  

E-Print Network (OSTI)

1 ANALYSIS OF FUTURE PRICES AND MARKETS FOR HIGH TEMPERATURE SUPERCONDUCTORS BY JOSEPH MULHOLLAND of Future Prices and Markets for High Temperature Superconductors 2 I . PURPOSE, SCOPE AND APPROACH analysts to make estimates about the future of high temperature superconductor (HTS) technology

37

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

38

Commodity Price Interaction: CO2 Allowances, Fuel Sources and Electricity  

Science Journals Connector (OSTI)

This work anlyses the relationship between the returns for carbon, electricity and fossil fuel price (coal, oil and natural gas), ... in carbon are not strongly reflected in electricity prices. Also, market power...

Mara Madaleno; Carlos Pinho; Cludia Ribeiro

2014-01-01T23:59:59.000Z

39

Carbon pricing, nuclear power and electricity markets  

SciTech Connect

In 2010, the NEA in conjunction with the International Energy Agency produced an analysis of the Projected Costs of Electricity for almost 200 power plants, covering nuclear, fossil fuel and renewable electricity generation. That analysis used lifetime costs to consider the merits of each technology. However, the lifetime cost analysis is less applicable in liberalised markets and does not look specifically at the viewpoint of the private investor. A follow-up NEA assessment of the competitiveness of nuclear energy against coal- and gas-fired generation under carbon pricing has considered just this question. The economic competition in electricity markets is today between nuclear energy and gas-fired power generation, with coal-fired power generation not being competitive as soon as even modest carbon pricing is introduced. Whether nuclear energy or natural gas comes out ahead in their competition depends on a number of assumptions, which, while all entirely reasonable, yield very different outcomes. The analysis in this study has been developed on the basis of daily data from European power markets over the last five-year period. Three different methodologies, a Profit Analysis looking at historic returns over the past five years, an Investment Analysis projecting the conditions of the past five years over the lifetime of plants and a Carbon Tax Analysis (differentiating the Investment Analysis for different carbon prices) look at the issue of competitiveness from different angles. They show that the competitiveness of nuclear energy depends on a number of variables which in different configurations determine whether electricity produced from nuclear power or from CCGTs generates higher profits for its investors. These are overnight costs, financing costs, gas prices, carbon prices, profit margins (or mark-ups), the amount of coal with carbon capture and electricity prices. This paper will present the outcomes of the analysis in the context of a liberalised electricity market, looking at the impact of the seven key variables and provide conclusions on the portfolio that a utility would be advised to maintain, given the need to limit risks but also to move to low carbon power generation. Such portfolio diversification would not only limit financial investor risk, but also a number of non-financial risks (climate change, security of supply, accidents). (authors)

Cameron, R.; Keppler, J. H. [OECD Nuclear Energy Agency, 12, boulevard des Iles, 92130 Issy-les-Moulineaux (France)

2012-07-01T23:59:59.000Z

40

Practical stochastic modelling of electricity prices Michel Culot  

E-Print Network (OSTI)

Practical stochastic modelling of electricity prices Michel Culot Electrabel SA, Belgium Val and forward electricity. The model captures various styl- ized features of power prices, including mean pricing, Electricity and energy mar- kets, Regime-switching spikes, State-space (Kalman filter) estimation

Paris-Sud XI, Université de

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

Addressing the Level of Florida's Electricity Prices Theodore Kury1  

E-Print Network (OSTI)

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

Jawitz, James W.

42

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

43

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network (OSTI)

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

44

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

45

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.

46

Pricing and Firm Conduct in California's Deregulated Electricity Market  

E-Print Network (OSTI)

sector to competitive forces by restructuring the method of procuring electricity. Private electricPWP-080 Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller.ucei.berkeley.edu/ucei #12;Pricing and Firm Conduct in California's Deregulated Electricity Market Steven L. Puller August

California at Berkeley. University of

47

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

E-Print Network (OSTI)

Implementing Real- Time Retail Electricity Pricing, CenterMarkets With Time-Invariant Retail Prices, RAND Journal of155 Customer Risk from Real-Time Retail Electricity Pricing:

Borenstein, Severin

2007-01-01T23:59:59.000Z

48

The future electricity business  

SciTech Connect

The transition of the electricity business into the competitive market will result in change as significant as that brought about by the PC or the deregulation of telecommunications,and with it opportunities for new products, service, and technologies, particularly to support an increase in distributed generation. The electricity business has been viewed as having three building blocks--generation, transmission, and distribution. Almost all investments in these three sectors historically have been made by utilities, but now these investments have begun to be made by customers or new entrants under a competitive market model. With the high-voltage transmission system largely built, the business focus will shift to efficient utilization of that infrastructure through investments in grid automation control, communications, and network management. And while the primary function of the distribution system--connecting customers to the utility grid--will remain unchanged, there will be new requirements on the distribution system to integrate distributed technologies and customer micro grids. Generation power plants are as likely to be located at customer sites as at utility or central-station sites. Customers may choose to create micro grids that are locally self sufficient and may or may not be connected to the utility grid. The characteristics of the distribution grid are likely to change from a one-way system in which power flows from utility central-station power plants to customers, to a two-way system in which power may flow in either direction. Hence, the focus will increasingly shift to integration of portfolio of distributed technologies. The opening of the electricity business to competition also opens new markets and business opportunities for new entrants.

Budhraja, V.S.

1999-11-01T23:59:59.000Z

49

1 18 May 2003 Ris International Energy Conference Analysis of a future liberalised Lithuanian/Baltic Electricity  

E-Print Network (OSTI)

/Baltic Electricity market Analysis of a future liberalised Lithuanian/Baltic Electricity market Risø International · Model used for the analyses · Results of analyses ­ Production patterns ­ Market prices on electricity of analyses ­ Production patterns ­ Market prices on electricity ­ Future situation for power plants ­ Welfare

50

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

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

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

51

,"Kansas 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","Kansas Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

52

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

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

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

53

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

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

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

54

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

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

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

55

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

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

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

56

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

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

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

57

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

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

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

58

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

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

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

59

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

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

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

60

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

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

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

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

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

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

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

62

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

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

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

63

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

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

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

64

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

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

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

65

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

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

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

66

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

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

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

67

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

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

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

68

,"Alaska 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","Alaska Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

69

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

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

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

70

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

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

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

71

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

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

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

72

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

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

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

73

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

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

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

74

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

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

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

75

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

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

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

76

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

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

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

77

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

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

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

78

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

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

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

79

,"Nevada 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","Nevada Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

80

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

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

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

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

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

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

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

82

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

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

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

83

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

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

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

84

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

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

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

85

,"Oregon 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","Oregon Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

86

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

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

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

87

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

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

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

88

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

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

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

89

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

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

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

90

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

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

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

91

Prices in Wholesale Electricity Markets and Demand Response.  

E-Print Network (OSTI)

??Price determination for a wholesale electricity market has been a long-standing issue in energy systems modeling. From an economic perspective, the complication arises from determining (more)

Aketi, Venkata Sesha Praneeth

2014-01-01T23:59:59.000Z

92

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

Open Energy Info (EERE)

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...

93

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

94

POWER '99 Conference 1 Stochastic Models of Electricity Spot Price  

E-Print Network (OSTI)

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

California at Berkeley. University of

95

Pricing mechanisms for offshore wind electricity in EU member states  

Science Journals Connector (OSTI)

The aim of the study was to evaluate the pricing mechanisms for offshore wind electricity in those EU Member States (MS) possessing an important offshore wind resource and, on this basis, to determine the economic scenario faced by potential investors in the sector. The economic and energy policy framework of each MS was reviewed to establish the main factors determining the final price accorded to electricity generated from offshore wind, including feed-in tariffs, green certificates, subsidies, tax incentives and taking into consideration other factors such as costs and obligations related to grid connection and transmission. On the basis of the information collected, an economic analysis was conducted to compare offshore wind electricity prices across the EU, for a 20-year project duration, based on a year 2001 ''snapshot'' for a typical ''first generation'' offshore wind project. The policy review showed a variety of economic frameworks in existence across the EU, with some countries choosing fixed tariff schemes as the primary instrument and others using market-based systems such as green certificates. However, it was clear that several MS are moving away from the system based solely on fixed tariffs to incorporate more market-based schemes. The economic analysis showed that, on the basis of fixed tariffs and assuming uniform investment costs across EU waters, conditions are most favourable in Belgium (proposed legislation) and Germany. It is thought that, in future, market-oriented schemes and predictability tools will play an increasingly important role in determining the economic conditions faced by offshore wind electricity producers. It should be noted that the analyses presented in this paper are based on the economic and legislatory situations in existence at the time of writing, that is, December, 2001.

Geert Palmers; Suzanne Shaw

2002-01-01T23:59:59.000Z

96

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

97

Comparison of AEO 2007 Natural Gas Price Forecast to NYMEX FuturesPrices  

SciTech Connect

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

98

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

99

Intraclass Price Elasticity & Electric Rate Design  

E-Print Network (OSTI)

'mer with lower than class average Kwh usage most 1ikely have a lower than average price elasticity. Customers with higher consumption levels have a greater potential to conserve or shift usage. This suggests a higher price elasticity. The higher...'mer with lower than class average Kwh usage most 1ikely have a lower than average price elasticity. Customers with higher consumption levels have a greater potential to conserve or shift usage. This suggests a higher price elasticity. The higher...

Gresham, K. E.

100

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"

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

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

102

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"

103

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

E-Print Network (OSTI)

factors, such as the magnitude of the price increase, the presence of central air conditioning form of direct load control of end-uses such as central air conditioning or electric water heating

104

Medium-term forecasting of demand prices on example of electricity prices for industry  

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 20062010 based on the data for 19972005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

105

Can oil prices help estimate commodity futures prices? The cases of copper and silver  

Science Journals Connector (OSTI)

There is an extensive literature on modeling the stochastic process of commodity futures. It has been shown that models with several risk factors are able to adequately fit both the level and the volatility structure of observed transactions with reasonable low errors. One of the characteristics of commodity futures markets is the relatively short term maturity of their contracts, typically ranging for only a few years. This poses a problem for valuing long term investments that require extrapolating the observed term structure. There has been little work on how to effectively do this extrapolation and in measuring its errors. Cortazar et al. (2008b) propose a multicommodity model that jointly estimates two commodities, one with much longer maturity futures contracts than the other, showing that futures prices of one commodity may be useful information for estimating the stochastic process of another. They implement the procedure using highly correlated commodities like WTI and Brent. In this paper we analyze using prices of long term oil futures contracts to help estimate long term copper and silver future prices. We start by analyzing the performance of the Cortazar et al. (2008b) multicommodity model, now applied to oil-copper and oil-silver which have much lower correlation than the WTIBrent contracts. We show that for these commodities with lower correlation the multicommodity model seems not to be effective. We then propose a modified multicommodity model with a much simpler structure which is easier to estimate and that uses the non-stationary long term process of oil to help estimate long term copper and silver futures prices, achieving a much better fit than using available individual or multicommodity models.

Gonzalo Cortazar; Francisco Eterovic

2010-01-01T23:59:59.000Z

106

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

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

,,"(202) 586-8800",,,"1302015 12:54:29 PM" "Back to Contents","Data 1: Colorado Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"...

107

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

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

,,"(202) 586-8800",,,"182015 12:47:52 PM" "Back to Contents","Data 1: New York Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

108

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

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

,,"(202) 586-8800",,,"1162014 3:03:36 PM" "Back to Contents","Data 1: Connecticut Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

109

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

E-Print Network (OSTI)

Severin. Time-Varying Retail Electricity Prices: Theory andCustomer Risk from Real-Time Retail Electricity Pricing:Markets With Time-Invariant Retail Prices, RAND Journal of

Borenstein, Severin

2007-01-01T23:59:59.000Z

110

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

111

Electricity Market Module: Electricity finance and pricing submodule  

SciTech Connect

The purpose of this report is to document the updates to the Electricity Financial Pricing Module (EFP) to reflect the rate impacts of nuclear decommissioning. The EFP is part of the National Energy Modeling System (NEMS). The updates to the EFP related to nuclear decommissioning include both changes to the underlying data base and the methodology. Nuclear decommissioning refers to the activities performed to take a nuclear plant permanently out of service. The costs of nuclear decommissioning are substantial and uncertain. The recovery of these costs from ratepayers is to occur over the operating life of the nuclear plant. Utilities are obligated to make estimates of the nuclear decommissioning cost every few years. Given this estimate, utilities are to assess a charge upon ratepayers, such that over the operating life of the plant they collect sufficient funds to pay for the decommissioning. However, cost estimates for decommissioning have been increasing and it appears that utilities have not been collecting adequate funds to date. In addition, there is a real risk that many nuclear plants may be closed earlier than originally planned, further exacerbating the under collection problem. The updates performed in this project provide the EFP with the capability to analyze these issues. The remainder of this document is divided into two discussions: (1) Nuclear Decommissioning Data Base, and (2) Methodology. Appendix A contains the actual data base developed during the project.

NONE

1996-06-01T23:59:59.000Z

112

The Pricing of Electricity to Aluminum Smelters in the Northwest  

E-Print Network (OSTI)

" THE PRICING OF ELECTRICITY,TO ALUMINUM SMELTERS IN THE NORTHWEST Thomas J. Foley Northwest Power Planning Counc'l Portland, Oregon The Bonneville Power Administration IS a federal agency marketing electriC power in the Pacific Northwest... aiumlnurT' companies are facing lower electriCity prices In other parts 01 tne worid. thE Northwest plants have become "swlng" plants. That IS wner. tne world pnce of aiumlnum is high. these plants will rur. at capac,y but tney are the first plants...

Foley, T. J.

113

Unit root properties of crude oil spot and futures prices  

Science Journals Connector (OSTI)

In this article, we examine whether WTI and Brent crude oil spot and futures prices (at 1, 3 and 6 months to maturity) contain a unit root with one and two structural breaks, employing weekly data over the period 19912004. To realise this objective we employ Lagrange multiplier (LM) unit root tests with one and two endogenous structural breaks proposed by Lee and Strazicich [2003. Minimum Lagrange multiplier unit root test with two structural breaks. Review of Economics and Statistics, 85, 10821089; 2004. Minimum LM unit root test with one structural break. Working Paper no. 0417, Department of Economics, Appalachian State University]. We find that each of the oil price series can be characterised as a random walk process and that the endogenous structural breaks are significant and meaningful in terms of events that have impacted on world oil markets.

Svetlana Maslyuk; Russell Smyth

2008-01-01T23:59:59.000Z

114

Assessing the impact of changes in the electricity price structure on dairy farm energy costs  

Science Journals Connector (OSTI)

Abstract This study aims to provide information on the changes in electricity consumption and costs on dairy farms, through the simulation of various electricity tariffs that may exist in the future and how these tariffs interact with changes in farm management (i.e. shifting the milking operation to an earlier or later time of the day). A previously developed model capable of simulating electricity consumption and costs on dairy farms (MECD) was used to simulate five different electricity tariffs (Flat, Day&Night, Time of Use Tariff 1 (TOU1), TOU2 and Real Time Pricing (RTP)) on three representative Irish dairy farms: a small farm (SF), a medium farm (MF) and a large farm (LF). The Flat tariff consisted of one electricity price for all time periods, the Day&Night tariff consisted of two electricity prices, a high rate from 09:00 to 00:00h and a low rate thereafter. The TOU tariff structure was similar to that of the Day&Night tariff except that a peak price band was introduced between 17:00 and 19:00h. The RTP tariff varied dynamically according to the electricity demand on the national grid. The model used in these simulations was a mechanistic mathematical representation of the electricity consumption that simulated farm equipment under the following headings; milk cooling system, water heating system, milking machine system, lighting systems, water pump systems and the winter housing facilities. The effect of milking start time was simulated to determine the effect on electricity consumption and costs at farm level. The earliest AM milking start time and the latest PM milking start time resulted in the lowest energy consumption. The difference between the lowest and highest electricity consumption within a farm was 7% for SF, 5% for MF and 5% for LF. This difference was accounted for by the variation in the milk cooling system coefficient of performance. The greatest scope to reduce total annual electricity costs by adjusting milking start times was on TOU2 (39%, 34% and 33% of total annual electricity costs on the SF, MF and LF) and the least scope for reductions using this method was on the Flat tariff (7%, 5% and 7% of total annual electricity costs). The potential for reduction of annual electricity consumption and related costs per litre of milk produced by adjusting milking times was higher for the LF than the SF or MF across all electricity tariffs. It is anticipated that these results and the use of the MECD will help support the decision-making process at farm level around increasing energy efficiency and electricity cost forecasts in future electricity pricing tariff structures.

J. Upton; M. Murphy; L. Shalloo; P.W.G. Groot Koerkamp; I.J.M. De Boer

2015-01-01T23:59:59.000Z

115

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

116

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

E-Print Network (OSTI)

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

Carmona, Rene

117

Efficient Modeling and Forecasting of Electricity Spot Prices  

Science Journals Connector (OSTI)

Abstract The increasing importance of renewable energy, especially solar and wind power, has led to new forces in the formation of electricity prices. Hence, this paper introduces an econometric model for the hourly time series of electricity prices of the European Power Exchange (EPEX) which incorporates specific features like renewable energy. The model consists of several sophisticated and established approaches and can be regarded as a periodic VAR-TARCH with wind power, solar power, and load as influences on the time series. It is able to map the distinct and well-known features of electricity prices in Germany. An efficient iteratively reweighted lasso approach is used for the estimation. Moreover, it is shown that several existing models are outperformed by the procedure developed in this paper.

Florian Ziel; Rick Steinert; Sven Husmann

2014-01-01T23:59:59.000Z

118

Econometric analysis of Australian emissions markets and electricity prices  

Science Journals Connector (OSTI)

Abstract Emissions trading schemes aim to reduce the emissions in certain pollutants using a market based scheme where participants can buy and sell permits for these emissions. This paper analyses the efficiency of the two largest schemes in Australia, the NSW Greenhouse Gas Abatement Scheme and the Mandatory Renewable Energy Trading Scheme, through their effect on the electricity prices from 2004 to 2010. We use a long run structural modelling technique for the first time on this market. It provides a practical long-run approach to structural relationships which enable the determination of the effectiveness of the theoretical expectations of these schemes. The generalised forecast error variance decomposition analysis finds that both schemes? emissions prices have little effect on electricity prices. Generalised impulse response function analysis support this finding indicating that when shocks are applied to electricity by the two schemes it returns to equilibrium very quickly. This indicates that these schemes are not having the effect anticipated in their legislation.

Deborah Cotton; Lurion De Mello

2014-01-01T23:59:59.000Z

119

Price volatility forecasting using artificial neural networks in emerging electricity markets  

Science Journals Connector (OSTI)

In the adaptive short-term electricity price forecasting, it may be premature to rely solely on the hourly price forecast. The volatility of electricity price should also be analysed to provide additional insight on price forecasting. This paper proposes a price volatility module to analyse electricity price spikes and study the probability distribution of electricity price. Two methods are used to study the probability distribution of electricity price: the analytical method and the ANN method. Furthermore, ANN method is used to study the impact of line limits, line outages, generator outages, load pattern and bidding strategy on short term price forecasting, in addition to sensitivity analysis to determine the extent to which these factors impact price forecasting. Data used in this study are spot electricity prices from California market in the period which includes the crisis months where extreme volatility was observed.

Ahmad F. Al-Ajlouni; Hatim Y. Yamin; Ali Eyadeh

2012-01-01T23:59:59.000Z

120

Renewable Electricity Futures for the United States  

SciTech Connect

This paper highlights the key results from the Renewable Electricity (RE) Futures Study. It is a detailed consideration of renewable electricity in the United States. The paper focuses on technical issues related to the operability of the U. S. electricity grid and provides initial answers to important questions about the integration of high penetrations of renewable electricity technologies from a national perspective. The results indicate that the future U. S. electricity system that is largely powered by renewable sources is possible and the further work is warranted to investigate this clean generation pathway. The central conclusion of the analysis is that renewable electricity generation from technologies that are commercially available today, in combination with a more flexible electric system, is more than adequate to supply 80% of the total U. S. electricity generation in 2050 while meeting electricity demand on an hourly basis in every region of the United States.

Mai, Trieu; Hand, Maureen; Baldwin, Sam F.; Wiser , Ryan; Brinkman, G.; Denholm, Paul; Arent, Doug; Porro, Gian; Sandor, Debra; Hostick, Donna J.; Milligan, Michael; DeMeo, Ed; Bazilian, Morgan

2014-04-14T23:59:59.000Z

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.


121

An empirical analysis of the price discovery function of Shanghai fuel oil futures market  

Science Journals Connector (OSTI)

This paper analyzes the role of price discovery of Shanghai fuel oil futures market by using methods, such ... there exists a strong relationship between the spot price of Huangpu fuel oil spot market and the fut...

Zhen Wang; Zhenhai Liu; Chao Chen

2007-08-01T23:59:59.000Z

122

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

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

The goal of this study is to evaluate the validity of the following statement: the coincidence of high electric energy prices and peak solar electric photovoltaic (PV) output can improve the economics of PV installations, and can also facilitate the wider use of hourly pricing. The study is focused on Con Edison electric service territory in New York City.

123

Average Commercial Price  

Annual Energy Outlook 2012 (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...

124

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

125

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.

126

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

II TEXAS MARKET CONDITIONS.......................................................................25 A. Natural Gas..............................................................................25 III ELECTRICITY PRICING STRUCTURE... ....................................46 A. Texas A&M University at Corpus Christi...............................47 B. Texas A&M University at Galveston......................................55 C. Texas A&M University at Kingsville .....................................61 D. Texas A...

Afanador Delgado, Catalina

2006-10-30T23:59:59.000Z

127

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

E-Print Network (OSTI)

of better understanding fuel price risk and the role thatonly to natural gas fuel price risk (i.e. , the risk thatsuch attributes, including fuel price risk. Furthermore, our

Bolinger, Mark

2009-01-01T23:59:59.000Z

128

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

E-Print Network (OSTI)

of better understanding fuel price risk and the role thatonly to natural gas fuel price risk (i.e. , the risk thatsuch attributes, including fuel price risk. Furthermore, our

Bolinger, Mark A.

2010-01-01T23:59:59.000Z

129

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

E-Print Network (OSTI)

of better understanding fuel price risk and the role thatonly to natural gas fuel price risk (i.e. , the risk thatsuch attributes, including fuel price risk. Furthermore, our

Bolinger, Mark

2008-01-01T23:59:59.000Z

130

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

131

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

132

A new adaptive fuzzy inference system for electricity consumption forecasting with hike in prices  

Science Journals Connector (OSTI)

Large increase or hike in energy prices has proven to impact electricity consumption in a way which cannot be drawn ... (FIS) to estimate and forecast long-term electricity consumption when prices experience larg...

S. M. Sajadi; S. M. Asadzadeh; V. Majazi Dalfard

2013-12-01T23:59:59.000Z

133

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

SciTech Connect

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

134

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

135

Future Developments of Large Electric Generators  

Science Journals Connector (OSTI)

...Future Developments of Large Electric Generators C. Concordia Several observations can...continual development of large electric generators: 1. The tendency toward always increasing...unbalanced loading. 5. The type of steam generator as it may influence a tendency to use...

1973-01-01T23:59:59.000Z

136

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

137

The role of trader positions in spot and futures prices for WTI  

Science Journals Connector (OSTI)

Abstract We extend the analysis of causal relations between trader positions and oil prices and the process of price discovery by estimating a cointegrating vector autoregression (CVAR) model that expands the cash-and-carry relation between spot and futures prices to quantify long- and short-run relations among oil prices, trader positions, interest rates, and oil inventories. Results indicate that oil inventories and trader positions are needed to generate cointegration between spot and futures prices. The presence of trader positions and oil inventories suggest that both play a role in price discovery. Furthermore, the cointegrating relation for price loads into the equation for both oil prices and trader positions. This suggests a bi-directional simultaneous adjustment process between oil prices and trader positions. This expands the unidirectional causal relation from oil prices to trader positions that is generated by previous studies. Additional results suggest that price discovery occurs in the market for heavily traded near-month futures contracts, but discovery for thin far-month futures markets occurs in the spot market. Together, these results suggest mechanisms by which speculation could affect oil prices but the results presented here are moot regarding their effects.

Marek Kolodziej; Robert K. Kaufmann

2013-01-01T23:59:59.000Z

138

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

E-Print Network (OSTI)

Joint Modelling of Gas and Electricity spot prices N. Frikha1 , V. Lemaire2 October 13, 2010 for developing a risk management framework as well as pricing of options. Many derivatives on both electricity and electricity prices is a relevant issue. Numerous diffusion-type and econometric models have been proposed

Boyer, Edmond

139

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

140

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

E-Print Network (OSTI)

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

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

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

E-Print Network (OSTI)

IEEE TRANSACTIONS ON POWER SYSTEMS 1 Economic Impact of Electricity Market Price Forecasting Errors to forecast electricity market prices and improve forecast accuracy. However, no studies have been reported, the application of electricity market price forecasts to short-term operation scheduling of two typical

Cañizares, Claudio A.

142

Demand for Electric Power in Norway : Estimating price and substitution elasticities.  

E-Print Network (OSTI)

??The main goal of this master thesis is to estimate how the prices of electricity and heating oil affect the aggregate demand for electric power (more)

yan, Ola Hagen

2010-01-01T23:59:59.000Z

143

Electric utilities, fuel use, and responsiveness to fuel prices  

Science Journals Connector (OSTI)

Abstract This research tests the impact of changes in fuel price to explain fuel use by electric utilities. We employ a three-stage least squares model that explains changes in fuel use as a function of changes in three fuel prices. This model is repeated across sub-samples of data aggregated at the plant level and operating holding company level. We expect that plants and holding companies reduce fuel use when fuel prices rise. Several fuel substitution effects within and across plants and holding companies are demonstrated, as well as several frictions. At the plant level, higher prices of natural gas lead to less natural gas consumption, less coal consumption, and more fuel oil consumption. At the operating holding company level, results demonstrate the inelasticity of coal use and the increases of natural gas in response to higher coal prices. Subsamples demonstrate heterogeneity of results across different plants. Results emphasize that technological, market, and regulatory frictions may hinder the performance of energy policies.

Daniel C. Matisoff; Douglas S. Noonan; Jinshu Cui

2014-01-01T23:59:59.000Z

144

Do traders' positions predict oil futures prices? A case study of the 2008 oil market turbulence  

Science Journals Connector (OSTI)

This paper empirically tests whether traders' positions predict crude oil futures prices through a case study of the 2008 oil market turbulence. It is found that the three-week-long trend of traders' net long position significantly forecasts prices when the prices excessively rise from April to July 2008. In specific, speculator's trend forecasts price continuation, whereas the hedger's trend predicts price reversals. However, during the price-collapsing period, no significant predictability is found. These findings provide two implications. First, the hedging-pressure theory can be supported in oil futures market when the market prices excessively rise and traders' position data are used as trend concept. Second, the recent argument on 'the 2008 oil bubble' asserting that excessive rise in oil prices during the second quarter of 2008 is associated with speculator's positions can be supported.

Sunghee Choi; Seok-Joon Hwang

2012-01-01T23:59:59.000Z

145

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

Open Energy Info (EERE)

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...

146

A theory of directional pricing and its application to electricity policy  

Science Journals Connector (OSTI)

This study is a first attempt of investigating a theory of directional pricing. Directional pricing is defined as price or rate designs that apply different prices to selling and buying the concerned goods. A typical example would be rate schedules in the feed-in-tariff (FIT) policy for electricity. This study discusses how the pricing is distinctive and shows that a new development of the theory is essential for the analysis of such emerging electricity markets.

Akira Maeda; Makiko Nagaya

2014-01-01T23:59:59.000Z

147

On the Stochastic Properties of Carbon Futures Prices Julien Chevallier  

E-Print Network (OSTI)

, in the wider context of the European Union Emissions Trading Scheme (EU ETS) and the price formation

148

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

149

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

150

Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets  

E-Print Network (OSTI)

Impact of Storage on the Efficiency and Prices in Real-Time Electricity Markets Nicolas Gast Jean in dynamic real-time electricity markets. We consider that demand and renewable generation are stochastic of a competitive equilibrium when players are price-takers (they do not affect market prices). We further establish

Paris-Sud XI, Université de

151

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 (more)

Corsetti, Manuel

2010-01-01T23:59:59.000Z

152

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

E-Print Network (OSTI)

Thus, input demands and price response elasticities can beelasticity is a very specific characterization of electricity demand and price responseprice elasticity, which measures the reduction in demand in response

2005-01-01T23:59:59.000Z

153

Electricity price modeling and asset valuation: a multi-fuel structural approach  

Science Journals Connector (OSTI)

We introduce a new and highly tractable structural model for spot and derivative prices in electricity markets. Using a stochastic model ... we translate the demand for power and the prices of generating fuels in...

Ren Carmona; Michael Coulon; Daniel Schwarz

2013-03-01T23:59:59.000Z

154

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"

155

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

156

"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"

157

Modelling spikes and pricing swing options in electricity Ben Hambly Sam Howison Tino Kluge  

E-Print Network (OSTI)

Modelling spikes and pricing swing options in electricity markets Ben Hambly Sam Howison Tino Kluge of electricity markets is the formation of price spikes which are caused when the maximum supply and current April 24, 2007 Abstract Most electricity markets exhibit high volatilities and occasional distinctive

Howison, Sam

158

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

159

Minimizing the Operational Cost of Data Centers via Geographical Electricity Price Diversity  

E-Print Network (OSTI)

Minimizing the Operational Cost of Data Centers via Geographical Electricity Price Diversity amounts of electric power, which lead to high operational costs of cloud service providers. Reducing cloud environment by incorporating the diversity of time-varying electricity prices in different regions

Liang, Weifa

160

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

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

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

schemes on power prices: The case of wind electricity inand Wind Penetration. IEEE Transactions on Power Systems 27,of wind (50%), PV (35%), and concentrating solar power (CSP,

Darghouth, Naim

2014-01-01T23:59:59.000Z

162

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)

163

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

E-Print Network (OSTI)

Daily Standard & Poor's 500 stock index cash and futures prices are studies in a cointegration framework using Johansen's maximum likelihood procedure. To account for the time varying relationship(basis) between the two markets, a theoretical...

Fritsch, Roger Erwin

1997-01-01T23:59:59.000Z

164

Sweating it out: the response of summer electricity demand to increases in price.  

E-Print Network (OSTI)

??This study examines the own price elasticity of demand for electricity in the Greater Sacramento Area. Data corresponded to customer billing information from the Sacramento (more)

Davis, Zephaniah K.

2014-01-01T23:59:59.000Z

165

Table N8.3. Average Prices of Purchased Electricity, Natural...  

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

3. Average Prices of Purchased Electricity, Natural Gas, and Steam, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: Supplier Sources of Purchased...

166

Application of neural networking in live cattle futures market: an approach to price-forecasting  

E-Print Network (OSTI)

-Ju Chou, B. S. , Tunghai University, Taiwan Chair of Advisory Committee Dr. John P. Walter The ability to forecast closing price changes using neural networking technique in the live cattle futures market was investigated. Futures prices and contract... volumes from 1977 through 1991 were obtained for four commodities: live cattle, feeder cattle, live hogs and corn. Twelve neural networks were constructed, one for each combination of six contract months and two uading periods. The two trading periods...

Chou, Chien-Ju

2012-06-07T23:59:59.000Z

167

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

E-Print Network (OSTI)

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

Albanese, Claudio

168

A MODEL FOR HEDGING LOAD AND PRICE RISK IN THE TEXAS ELECTRICITY MARKET  

E-Print Network (OSTI)

results. In particular, we include as state variables the key factors which drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy for capacity available. We express stochastic factors including the load process, our power price model allows for the calculation of closed

Powell, Warren B.

169

Computing electricity spot price prediction intervals using quantile regression and forecast averaging  

Science Journals Connector (OSTI)

We examine possible accuracy gains from forecast averaging in the context of interval forecasts of electricity spot prices. First, we test whether constructing empirical prediction intervals (PI) from combined electricity

Jakub Nowotarski; Rafa? Weron

2014-08-01T23:59:59.000Z

170

Water constraints on European power supply under climate change: impacts on electricity prices  

Science Journals Connector (OSTI)

Recent warm, dry summers showed the vulnerability of the European power sector to low water availability and high river temperatures. Climate change is likely to impact electricity supply, in terms of both water availability for hydropower generation and cooling water usage for thermoelectric power production. Here, we show the impacts of climate change and changes in water availability and water temperature on European electricity production and prices. Using simulations of daily river flows and water temperatures under future climate (20312060) in power production models, we show declines in both thermoelectric and hydropower generating potential for most parts of Europe, except for the most northern countries. Based on changes in power production potentials, we assess the cost-optimal use of power plants for each European country by taking electricity import and export constraints into account. Higher wholesale prices are projected on a mean annual basis for most European countries (except for Sweden and Norway), with strongest increases for Slovenia (1215%), Bulgaria (2123%) and Romania (3132% for 20312060), where limitations in water availability mainly affect power plants with low production costs. Considering the long design life of power plant infrastructures, short-term adaptation strategies are highly recommended to prevent undesired distributional and allocative effects.

Michelle T H van Vliet; Stefan Vgele; Dirk Rbbelke

2013-01-01T23:59:59.000Z

171

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic  

E-Print Network (OSTI)

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic PO Box the predictability of electricity price under new market regulations and the engineering aspects of large scale of traditional commodities, such as,oil or agricultural products. Clearly, assessing the effectiveness

Obradovic, Zoran

172

Fact #766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices  

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

All energy prices vary from month to month and year to year. However, when comparing the national average retail price for a gallon of regular gasoline and a kilowatt-hour (kWh) for residential...

173

Electricity Transmission Pricing: How Contracts Must Reflect Costs  

Science Journals Connector (OSTI)

This article sets out the main design elements of contracts for use of a transmission system and the basic methods of transmission pricing. It considers two methods of pricing transmission: top-down and bot...

Graham Shuttleworth

1996-01-01T23:59:59.000Z

174

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

B. , Kollman E. , Price S. Avoided cost estimation and post-and marketing costs. The costs avoided by CPP implementation

Herter, Karen

2006-01-01T23:59:59.000Z

175

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

176

Probabilistic electricity price forecasting with variational heteroscedastic Gaussian process and active learning  

Science Journals Connector (OSTI)

Abstract Electricity price forecasting is essential for the market participants in their decision making. Nevertheless, the accuracy of such forecasting cannot be guaranteed due to the high variability of the price data. For this reason, in many cases, rather than merely point forecasting results, market participants are more interested in the probabilistic price forecasting results, i.e., the prediction intervals of the electricity price. Focusing on this issue, this paper proposes a new model for the probabilistic electricity price forecasting. This model is based on the active learning technique and the variational heteroscedastic Gaussian process (VHGP). It provides the heteroscedastic Gaussian prediction intervals, which effectively quantify the heteroscedastic uncertainties associated with the price data. Because the high computational effort of VHGP hinders its application to the large-scale electricity price forecasting tasks, we design an active learning algorithm to select a most informative training subset from the whole available training set. By constructing the forecasting model on this smaller subset, the computational efforts can be significantly reduced. In this way, the practical applicability of the proposed model is enhanced. The forecasting performance and the computational time of the proposed model are evaluated using the real-world electricity price data, which is obtained from the ANEM, PJM, and New England ISO.

Peng Kou; Deliang Liang; Lin Gao; Jianyong Lou

2015-01-01T23:59:59.000Z

177

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

178

Real-Time Pricing of Electricity: An Assessment  

E-Print Network (OSTI)

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

Baughman, M. L.; Zarnikau, J.

179

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

180

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

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

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

E-Print Network (OSTI)

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

Gerkmann, Ralf

182

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

183

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

Coop Inc Beauregard Electric Coop Inc Entergy ArkansasInc Entergy Louisiana Inc Magic Valley Electric Coop Inc

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

2008-01-01T23:59:59.000Z

184

Fact #666: March 14, 2011 Survey says Electric Vehicle Prices are Key  

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

November/December 2010 surveys of 1,716 drivers and 123 automobile industry executives indicate that both groups believe a low electric vehicle price would motivate consumers to switch from a...

185

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

186

Nodal pricing of electricity: how much does it cost to get it wrong?  

Science Journals Connector (OSTI)

Economists know how to calculate optimal prices for electricity transmission. These are rarely applied in practice. This paper develops a 13-node model of the transmission system in England and Wales, incorpor...

Richard Green

2007-04-01T23:59:59.000Z

187

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

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

,,"(202) 586-8800",,,"1302015 12:55:12 PM" "Back to Contents","Data 1: U.S. Natural Gas Electric Power Price (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045US3"...

188

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

SciTech Connect

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

189

A model for hedging load and price risk in the Texas electricity market Michael Coulon , Warren B. Powell, Ronnie Sircar  

E-Print Network (OSTI)

drive electricity prices, such as fuel price (natural gas in particular), load itself, and a proxy by three stochastic factors including the load process, our power price model allows for the calculation for capacity available. We express power spot price as a parametric function of underlying factors, including

Powell, Warren B.

190

The efficiency of the U.S. cotton futures market (1986-2006): normal backwardation, co-integration, and asset pricing  

E-Print Network (OSTI)

into seasonally-differentiated contracts has yielded strong evidence of declining prices. This result differs from previously published work in the most comprehensive study of futures prices, while updating and extending information on pricing patterns...

Chavez, Marissa Joyce

2009-06-02T23:59:59.000Z

191

A Tracing Method for Pricing Inter-Area Electricity Trades  

E-Print Network (OSTI)

to be politically acceptable (Green, 1997). Different countries placed different emphasis on each of these requirements and, as the result, there are hardly two countries in the world with identical transmission pricing regimes. This creates a problem when we come... to cross-border trades. How should these be charged for? If two adjacent systems shared a common transmission pricing methodology, it would be straightforward (economically, if not always politically) to think of them as a common system and obtain...

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

2004-06-16T23:59:59.000Z

192

Energy futures prices and commodity index investment: New evidence from firm-level position data  

Science Journals Connector (OSTI)

Abstract This study brings fresh data to the highly-charged debate about the price impact of long-only index investment in energy futures markets. We use high frequency daily position data for NYMEX crude oil, heating oil, RBOB gasoline, and natural gas that are available from a representative large commodity index fund (the Fund) from February 13, 2007 through May 30, 2012. Simple correlation tests, difference-in-means tests, and Granger causality tests generally fail to reject the null hypothesis that changes in Fund positions are unrelated to subsequent returns in all four energy futures markets. We also fail to find any evidence that Fund positions are related to price movements in the WTI crude oil futures market using Singleton's (2014) long-horizon regression specification. Our results suggest Singleton's original finding of significant impacts and high levels of predictability may be simply an artifact of the method used to impute crude oil positions of index investors in a particular sample period. Overall, the empirical tests in this study fail to find compelling evidence of predictive links between commodity index investment and changes in energy futures prices.

Dwight R. Sanders; Scott H. Irwin

2014-01-01T23:59:59.000Z

193

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)

194

A structural risk-neutral model for pricing and hedging power derivatives  

E-Print Network (OSTI)

, producing price spikes. We focus on pricing and hedging electricity derivatives. The hedging instruments for futures prices and semi-explicit formulae for spread options and European options on electricity for- ward contracts. An analysis of the electricity price risk premium is provided showing the contribution of demand

195

Alternative Energy Futures: The Case for Electricity  

Science Journals Connector (OSTI)

...The per capita index of...the average per capita indices of...relative to GDP for total energy, electricity...electricity on the demand side are...Fig. 3. Per capita japan United...rela-States tive to GDP of total energy (cross hatch-ing...D _. demand for conventional...

Umberto Colombo

1982-08-20T23:59:59.000Z

196

Energy Department Releases Updated eGallon Prices as Electric...  

Energy Savers (EERE)

market continues to grow, electric vehicles will play a key role in our effort to reduce air pollution and slow the effects of climate change." Plug-In Electric Vehicle Sales...

197

Linear and non-linear Granger causality between oil spot and futures prices: A wavelet based test  

Science Journals Connector (OSTI)

Abstract This study is the first attempt to investigate both the linear and non-linear Granger causality between wavelet transformed spot and futures oil prices. Our findings consistently indicate bidirectional causality between the spot and futures oil markets at different time scales, under linear and non-linear causality assumptions, and also during the recent financial crisis. Our results tend to shed further light on the ongoing controversy over the relative price discovery role played by spot market as opposed to futures market in oil price fluctuations, especially during periods of high uncertainty.

Mohammed Alzahrani; Mansur Masih; Omar Al-Titi

2014-01-01T23:59:59.000Z

198

Jumps and stochastic volatility in crude oil futures prices using conditional moments of integrated volatility  

Science Journals Connector (OSTI)

Abstract We evaluate alternative models of the volatility of commodity futures prices based on high-frequency intraday data from the crude oil futures markets for the October 2001December 2012 period. These models are implemented with a simple GMM estimator that matches sample moments of the realized volatility to the corresponding population moments of the integrated volatility. Models incorporating both stochastic volatility and jumps in the returns series are compared on the basis of the overall fit of the data over the full sample period and subsamples. We also find that jumps in the returns series add to the accuracy of volatility forecasts.

Christopher F. Baum; Paola Zerilli

2014-01-01T23:59:59.000Z

199

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

SciTech Connect

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

200

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

SciTech Connect

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

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

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

SciTech Connect

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

202

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

203

Short Run Effects of a Price on Carbon Dioxide Emissions from U.S. Electric Generators  

Science Journals Connector (OSTI)

Thus, if it were imposed instantaneously, a carbon price that has been shown in other work (13-20) to stimulate investment in new generation technology (?$35/t CO2) would also lead to significant CO2 reductions via demand response and, to a lesser extent, dispatch order before any new technology was deployed. ... Spees, K.; Lave, L. B. Demand Response and Electricity Market Efficiency ... King, C. S.; Chatterjee, S. Predicting California Demand Response: How do Customers React to Hourly Prices? ...

Adam Newcomer; Seth A. Blumsack; Jay Apt; Lester B. Lave; M. Granger Morgan

2008-03-19T23:59:59.000Z

204

Customer satisfaction and price acceptance in the case of electricity supply  

Science Journals Connector (OSTI)

The paper reports empirical research exploring the relationship between satisfaction and price acceptance in the case of a basic utility. The research is based on a face-to-face questionnaire survey of a representative sample of randomly selected 1384 residential consumers in Hungary. The respondents were asked about their satisfaction with electricity supply and at the same time they were requested to evaluate the prices compared to the perceived value of the service they received. The statistical model developed for the analysis of this relationship proved to be reliable and significant. It proved the existence of the basic hypothesis that satisfied customers have higher price acceptance.

Gabor Rekettye; Jozsef Pinter

2006-01-01T23:59:59.000Z

205

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

206

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

207

Analysing future trends of renewable electricity in the EU in a low-carbon context  

Science Journals Connector (OSTI)

The aim of this paper is to analyse the situation and trends of electricity from renewable energy sources (RES-E) in the EU up to 2030, taking into account several drivers and barriers and different maturity levels for the renewable energy technologies. The methodology is based on the results of simulation models providing insights on future outlooks, complemented with an analysis of regulations and other drivers and barriers. Regarding the most mature renewable electricity technologies, the main drivers will be public policies (carbon prices and support schemes) and the expected up-ward trend in fossil-fuel prices and the main barriers are related to grid access, administrative procedures and the exhaustion of places with the best wind resource. For those already commercial but expensive technologies, the main driver is support schemes (but not carbon prices) allowing the exploitation of the large potential for investment cost reductions. Barriers are mostly related to their high investment costs. Finally, for those technologies which are emerging and immature, further technical improvements as a result of R&D efforts will be needed and they cannot be expected to significantly penetrate the European electricity market until 2030.

Pablo del Ro

2011-01-01T23:59:59.000Z

208

Modelling and forecasting fossil fuels, CO2 and electricity prices and their volatilities  

Science Journals Connector (OSTI)

In the current uncertain context that affects both the world economy and the energy sector, with the rapid increase in the prices of oil and gas and the very unstable political situation that affects some of the largest raw materials producers, there is a need for developing efficient and powerful quantitative tools that allow to model and forecast fossil fuel prices, CO2 emission allowances prices as well as electricity prices. This will improve decision making for all the agents involved in energy issues. Although there are papers focused on modelling fossil fuel prices, CO2 prices and electricity prices, the literature is scarce on attempts to consider all of them together. This paper focuses on both building a multivariate model for the aforementioned prices and comparing its results with those of univariate ones, in terms of prediction accuracy (univariate and multivariate models are compared for a large span of days, all in the first 4 months in 2011) as well as extracting common features in the volatilities of the prices of all these relevant magnitudes. The common features in volatility are extracted by means of a conditionally heteroskedastic dynamic factor model which allows to solve the curse of dimensionality problem that commonly arises when estimating multivariate GARCH models. Additionally, the common volatility factors obtained are useful for improving the forecasting intervals and have a nice economical interpretation. Besides, the results obtained and methodology proposed can be useful as a starting point for risk management or portfolio optimization under uncertainty in the current context of energy markets.

Carolina Garca-Martos; Julio Rodrguez; Mara Jess Snchez

2013-01-01T23:59:59.000Z

209

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.

2007-01-01T23:59:59.000Z

210

The economic impact of carbon pricing with regulated electricity prices in ChinaAn application of a computable general equilibrium approach  

Science Journals Connector (OSTI)

Abstract We use a dynamic CGE model (SICGE) to assess the economic and climate impacts of emissions trading system (ETS) in China with a carbon price of 100 Yuan/ton CO2. A particular focus is given to the regulated electricity price regime, which is a major concern of electricity sectors cost-effective participation in ETS in China. We found: (1) Carbon pricing is an effective policy for China to reduce CO2 emissions. Total CO2 emissions reduction ranges from 6.8% to 11.2% in short-term. (2) Rigid electricity price entails lower CO2 emissions reduction but can be considered as a feasible starting point to introduce carbon pricing policies in short-term as long as governmental subsidies are given to electricity production. (3) In mid- and long-term, the efficient policy is to earmark carbon revenue with competitive electricity price. We propose to use carbon revenue to reduce consumption tax in the first year of the introduction of carbon price and to use the carbon revenue to reduce production tax in following years.

Ji Feng Li; Xin Wang; Ya Xiong Zhang; Qin Kou

2014-01-01T23:59:59.000Z

211

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

212

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

213

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

214

Mid-term electricity market clearing price forecasting: A hybrid LSSVM and ARMAX approach  

Science Journals Connector (OSTI)

Abstract A hybrid mid-term electricity market clearing price (MCP) forecasting model combining both least squares support vector machine (LSSVM) and auto-regressive moving average with external input (ARMAX) modules is presented in this paper. Mid-term electricity MCP forecasting has become essential for resources reallocation, maintenance scheduling, bilateral contracting, budgeting and planning purposes. Currently, there are many techniques available for short-term electricity market clearing price (MCP) forecasting, but very little has been done in the area of mid-term electricity MCP forecasting. PJM interconnection data have been utilized to illustrate the proposed model with numerical examples. The proposed hybrid model showed improved forecasting accuracy compared to a forecasting model using a single LSSVM.

Xing Yan; Nurul A. Chowdhury

2013-01-01T23:59:59.000Z

215

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.

216

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

E-Print Network (OSTI)

on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www.ucei.berkeley.edu/ucei #12 of market- clearing prices. Using evidence on the design of electricity markets in England and Wales, Norway

California at Berkeley. University of

217

Impacts of Regional Electricity Prices and Building Type on the Economics of Commercial Photovoltaic Systems  

SciTech Connect

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

218

Modelling locational price spreads in competitive electricity markets; applications for transmission rights valuation and replication  

Science Journals Connector (OSTI)

......to recover the fixed cost of investing in the line...Finally, the nature of the production and consumption of electricity...price of fuel (oil, gas, and coal) is a major...component in determining the cost of production, and thus naturally......

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

219

Integrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems  

E-Print Network (OSTI)

- ure that the size of these jobs affects their energy efficiency or not. We hypothesizeIntegrating Dynamic Pricing of Electricity into Energy Aware Scheduling for HPC Systems Xu Yang aimed at reducing en- ergy consumption in HPC environments. In this paper we propose a job power aware

Sun, Xian-He

220

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect

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

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

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":""}]}

222

The effect of the Fukushima nuclear accident on stock prices of electric power utilities in Japan  

Science Journals Connector (OSTI)

The purpose of this study is to investigate the effect of the accident at the Fukushima Daiichi nuclear power station, which is owned by Tokyo Electric Power Co. (TEPCO), on the stock prices of the other electric power utilities in Japan. Because the other utilities were not directly damaged by the Fukushima nuclear accident, their stock price responses should reflect the change in investor perceptions on risk and return associated with nuclear power generation. Our first finding is that the stock prices of utilities that own nuclear power plants declined more sharply after the accident than did the stock prices of other electric power utilities. In contrast, investors did not seem to care about the risk that may arise from the use of the same type of nuclear power reactors as those at the Fukushima Daiichi station. We also observe an increase of both systematic and total risks in the post-Fukushima period, indicating that negative market reactions are not merely caused by one-time losses but by structural changes in society and regulation that could increase the costs of operating a nuclear power plant.

Shingo Kawashima; Fumiko Takeda

2012-01-01T23:59:59.000Z

223

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

224

Variable electricity prices for aluminium smelting in northwestern USA  

Science Journals Connector (OSTI)

Bonneville Power Administration, the marketing agency for the federally developed regional electric power system, has served power to a large part of the US aluminium industry for 50 years. During the last decade changes in regional energy economics and legislation have led to steeply rising power rates. These rate increases collided with an aluminium industry itself under-going structural changes, resulting in increased competition and poor market conditions. This situation threatened not only aluminium smelting capacity, but also Bonneville's financial condition, which depends heavily on aluminium power sales revenue. The solution was a programme designed to increase the flexibility and predictability of power rates and provide incentives to restore the competitiveness of the regional industry. The results, so far, are encouraging.

Paul Spies

1990-01-01T23:59:59.000Z

225

Estimating VaR and ES of the spot price of oil using futures-varying centiles  

Science Journals Connector (OSTI)

This paper illustrates the power of modern statistical modelling in estimating measures of market risk, here applied to the Brent and WTI spot price of oil. Both Value-at-Risk (VaR) and Expected Shortfall (ES) are cast in terms of conditional centiles based upon semi-parametric regression models. Using the GAMLSS statistical framework, we stress the important aspects of selecting a highly flexible parametric distribution (skewed Student's t-distribution) and of modelling both skewness and kurtosis as non-parametric functions of the price of oil futures. Furthermore, an empirical application characterises the relationship between spot oil prices and oil futures - exploiting the futures market to explain the dynamics of the physical market. Our results suggest that NYMEX WTI has heavier tails compared with the ICE Brent. Contrary to the common platitude of the industry, we argue that 'somebody knows something' in the oil business.

Giacomo Scandroglio; Andrea Gori; Emiliano Vaccaro; Vlasios Voudouris

2013-01-01T23:59:59.000Z

226

Can agent-based models forecast spot prices in electricity markets? Evidence from the New Zealand electricity market  

Science Journals Connector (OSTI)

Abstract Modelling price formation in electricity markets is a notoriously difficult process, due to physical constraints on electricity generation and transmission, and the potential for market power. This difficulty has inspired the recent development of bottom-up agent-based algorithmic learning models of electricity markets. While these have proven quite successful in small models, few authors have attempted any validation of their model against real-world data in a more realistic model. In this paper we develop the SWEM model, where we take one of the most promising algorithms from the literature, a modified version of the Roth and Erev algorithm, and apply it to a 19-node simplification of the New Zealand electricity market. Once key variables such as water storage are accounted for, we show that our model can closely mimic short-run (weekly) electricity prices at these 19 nodes, given fundamental inputs such as fuel costs, network data, and demand. We show that agents in SWEM are able to manipulate market power when a line outage makes them an effective monopolist in the market. SWEM has already been applied to a wide variety of policy applications in the New Zealand market.22 This research was partly funded by a University of Auckland FDRF Grant #9554/3627082. The authors would like thank Andy Philpott, Golbon Zakeri, Anthony Downward, an anonymous referee, and participants at the EPOC Winter Workshop 2010 for their helpful comments.

David Young; Stephen Poletti; Oliver Browne

2014-01-01T23:59:59.000Z

227

Pricing statistics sourcebook. 5. edition  

SciTech Connect

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

NONE

1999-11-01T23:59:59.000Z

228

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

229

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

230

Strategic Pricing and Resource Allocation: Framework and Applications  

E-Print Network (OSTI)

varying wireless network capacities, electricity prices,electricity price, avail- able renewable energy supply, wireless

Ren, Shaolei

2012-01-01T23:59:59.000Z

231

Improved one day-ahead price forecasting using combined time series and artificial neural network models for the electricity market  

Science Journals Connector (OSTI)

The price forecasts embody crucial information for generators when planning bidding strategies to maximise profits. Therefore, generation companies need accurate price forecasting tools. Comparison of neural network and auto regressive integrated moving average (ARIMA) models to forecast commodity prices in previous researches showed that the artificial neural network (ANN) forecasts were considerably more accurate than traditional ARIMA models. This paper provides an accurate and efficient tool for short-term price forecasting based on the combination of ANN and ARIMA. Firstly, input variables for ANN are determined by time series analysis. This model relates the current prices to the values of past prices. Secondly, ANN is used for one day-ahead price forecasting. A three-layered feed-forward neural network algorithm is used for forecasting next-day electricity prices. The ANN model is then trained and tested using data from electricity market of Iran. According to previous studies, in the case of neural networks and ARIMA models, historical demand data do not significantly improve predictions. The results show that the combined ANN??ARIMA forecasts prices with high accuracy for short-term periods. Also, it is shown that policy-making strategies would be enhanced due to increased precision and reliability.

Ali Azadeh; Seyed Farid Ghaderi; Behnaz Pourvalikhan Nokhandan; Shima Nassiri

2011-01-01T23:59:59.000Z

232

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

233

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

234

Research on patterns in the fluctuation of the co-movement between crude oil futures and spot prices: A complex network approach  

Science Journals Connector (OSTI)

Abstract The price of crude oil is fluctuating. Researchers focus on the fluctuation of crude oil prices or relationship between crude oil futures and spot prices. However, the relationship also presents fluctuation which draws our attention. This paper designed a complex network approach for examining the dynamics of the co-movement between crude oil futures and spot prices. We defined the co-movement modes by a coarse-graining procedure and analyzed the transformation characteristics between the modes by weighted complex network models and evolutionary models. We analyzed the parameters of these models by using the West Texas Intermediate crude oil future prices and the Daqing (China) crude oil spot prices from November 25, 2002 to March 22, 2011 as sample data. The results indicate that the co-movement modes of the crude oil futures and spot prices are clustered around a few critical modes during the evolution. The co-movement of the crude oil prices has the characteristic of grouping, and the conversion of the co-movement modes requires an average of 57days. There are some important transitional phases in the evolution of prices, and the results validate the current trend of rising oil prices. This research may provide information for the oil price decision-making process, and more importantly, provides a new approach for examining the co-movement between variables.

Haizhong An; Xiangyun Gao; Wei Fang; Yinghui Ding; Weiqiong Zhong

2014-01-01T23:59:59.000Z

235

Price-Based Distributed Control for Networked Plug-in Electric Vehicles Bahman Gharesifard Tamer Basar Alejandro D. Dominguez-Garcia  

E-Print Network (OSTI)

Price-Based Distributed Control for Networked Plug-in Electric Vehicles Bahman Gharesifard Tamer the charging and discharging processes of plug-in electric vehicles (PEVs) via pricing strategies. Our. In the retail market layer, the aggregator offers some price for the energy that PEVs may provide; the objective

Liberzon, Daniel

236

Environmental inventories for future electricity supply systems for Switzerland  

Science Journals Connector (OSTI)

The Swiss Association of Producers and Distributors of Electricity (VSE) identified a number of possible supply mix options to meet the future electricity demand in Switzerland. In this context, PSI, in co-operation with ETHZ, analysed environmental inventories for the selected electricity supply systems. Life Cycle Analysis (LCA) was used to establish the inventories, covering the complete energy chains associated with fossil, nuclear and renewable systems. The assessment was performed on three levels: (1) individually for each system considered; (2) comparison of systems; (3) comparison of supply mix options. In absolute value, the emissions of the major pollutants considered are, in most cases, significantly reduced in comparison with the currently operating systems. Due to the considerable advancements in fossil power plant technologies, the relative importance of other activities increases in the fossil energy systems. Selected results for systems and supply options are given in the present paper.

R. Dones; U.; Ganter; S. Hirschberg

1999-01-01T23:59:59.000Z

237

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

E-Print Network (OSTI)

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

Mendjoge, Ashish V

2004-09-30T23:59:59.000Z

238

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...

239

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

240

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

demand response scenarioincludes a simulated system- wide price elasticityPrice Elasticity ($/ton) Notes: C = carbon; NG = natural gas; RE = renewable energy; DR = demand response.

Darghouth, Naim

2014-01-01T23:59:59.000Z

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

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

SciTech Connect

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

242

Time-of-use pricing and electricity demand response: evidence from a sample of Italian industrial customers  

Science Journals Connector (OSTI)

The introduction of real time pricing in many wholesale market as well as the liberalisation process involving the retail market poses the attention over the measurement of demand response to time differentiated price signals. This paper shows an example of how to estimate elasticities of substitution across time using a sample of Italian industrial customers facing time-of-use (TOU) pricing schemes. The model involves the estimation of a nested constant elasticity of substitution (CES) input demand function, which allows estimating substitutability of electricity usage across hourly intervals within a month and across different months.

Graziano Abrate

2008-01-01T23:59:59.000Z

243

The effect of the financial sector on the evolution of oil prices: Analysis of the contribution of the futures market to the price discovery process in the WTI spot market  

Science Journals Connector (OSTI)

The aim of this article is to empirically measure the contribution of the futures market to the price discovery process in the spot market for benchmark crude oils, specifically that for West Texas Intermediate (WTI). For this purpose, we test the hypothesis that the recent evolution of the financial markets has affected the future oil market so as to increase its contribution to the price discovery process of the spot market. We modeled the relation between WTI spot and future prices as a cointegration relation. By using the Kalman filter technique, it was possible to obtain a time-varying measure of the contribution of future markets to the price discovery mechanism. The results show that in the case of WTI, the contribution of the futures market has been increasing, especially between 2003 and 2008 and then again after the start of 2009, evidencing the growing importance of factors particular to the financial markets in determining oil prices in recent years. During 2009, the spot prices adjusted to agents' future expectations rather than to the current supply and demand conditions.

Renan Silvrio; Alexandre Szklo

2012-01-01T23:59:59.000Z

244

Demand side management of industrial electricity consumption: Promoting the use of renewable energy through real-time pricing  

Science Journals Connector (OSTI)

Abstract As the installed capacity of wind generation in Ireland continues to increase towards an overall goal of 40% of electricity from renewable sources by 2020, it is inevitable that the frequency of wind curtailment occurrences will increase. Using this otherwise discarded energy by strategically increasing demand at times that would otherwise require curtailment has the potential to reduce the installed capacity of wind required to meet the national 2020 target. Considering two industrial electricity consumers, this study analyses the potential for the implementation of price based demand response by an industrial consumer to increase their proportional use of wind generated electricity by shifting their demand towards times of low prices. Results indicate that while curtailing during peak price times has little or no benefit in terms of wind energy consumption, demand shifting towards low price times is likely to increase a consumers consumption of wind generation by approximately 5.8% for every 10% saved on the consumers average unit price of electricity.

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

245

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

E-Print Network (OSTI)

Opinions Towards the Electric Car Industry from a Survey ofindustries like the electric car. Andthese local effortscapability for the electric car withoutgenuineMichigan

Scott, Allen J.

1993-01-01T23:59:59.000Z

246

Breakeven Prices for Photovoltaics on Supermarkets in the United States  

SciTech Connect

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

247

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

248

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

249

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

250

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

251

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,

252

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

in wholesale energy markets. Progress in Photovoltaics:designs (e.g. , an energy market with a price cap, combinedmarket designs feature an energy market with a lower price

Darghouth, Naim

2014-01-01T23:59:59.000Z

253

Flexible Demand Management under Time-Varying Prices  

E-Print Network (OSTI)

Day in a Typical Hourly Average Electricity Prices . . . . .on demand response to electricity price are mostly conductedassociated with electricity prices, local generation, and

Liang, Yong

2012-01-01T23:59:59.000Z

254

Comparison of the influence of photovoltaic and wind power on the Spanish electricity prices by means of artificial intelligence techinques  

Science Journals Connector (OSTI)

Abstract The paper analyses and compares the merit order effects of photovoltaic and wind power on final electricity prices in the Spanish spot market and the cost of electricity tariffs. Artificial intelligence techniques are used to model the electricity auction clearing process. Several algorithms are studied before the M5P learning algorithm is finally applied to create a tree model of the spot market. Electricity tariffs for domestic consumers are also recalculated for fictional scenarios with no photovoltaic or wind power production. The conclusion is that the influence of photovoltaic and wind power is uneven. Wind power reduces final electricity prices by 9.10/MWh, generating an overall saving for the system of 364.0 million and for the average domestic consumer of 1.95 using 2012 figures; photovoltaic power reduces electricity prices by 2.18/MWh, generating an overall cost overrun for the system of 2034.1 million and for the average domestic consumer of 38.82.

D. Azofra; E. Martnez; E. Jimnez; J. Blanco; F. Azofra; J.C. Saenz-Dez

2015-01-01T23:59:59.000Z

255

Let's keep timetables realistic in moving toward a low-carbon electricity future  

SciTech Connect

The paper discusses technology transformation (energy efficiency, renewables, carbon capture and storage, advanced coal technologies, new nuclear energy, plug-in hybrid electric vehicles), economic analysis, and economic safeguards when moving towards a low-carbon electricity future.

Shea, Q.

2008-04-15T23:59:59.000Z

256

An assessment of oil supply and its implications for future prices  

Science Journals Connector (OSTI)

This paper examines three issues related to both the U.S. and world oil supply: (1) the nature of the ... be the primary source of U.S. oil imports; and (3) the cyclic behavior of oil prices. it shows that U.S. p...

Danilo J. Santini

1998-06-01T23:59:59.000Z

257

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

E-Print Network (OSTI)

and rebates, or mandatean increase in the electric vehiclesfor electric vehicles (e.g. by meansof tax rebates formarketfor electric vehicles(e.g. by offering tax rebates,

Scott, Allen J.

1993-01-01T23:59:59.000Z

258

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

focus on the important role of other energy prices and fundamental factors in setting the power price sources, the main production process remains the conversion of fossil fuels like coal, gas and oil. Since

Carmona, Rene

259

Table 12. Coal Prices to Electric Generating Plants, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

Coal Prices to Electric Generating Plants, Projected vs. Actual Coal Prices to Electric Generating Plants, Projected vs. Actual (nominal dollars per million Btu) 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 2.03 2.17 2.33 2.52 2.73 2.99 AEO 1983 1.99 2.10 2.24 2.39 2.57 2.76 4.29 AEO 1984 1.90 2.01 2.13 2.28 2.44 2.61 3.79 AEO 1985 1.68 1.76 1.86 1.95 2.05 2.19 2.32 2.49 2.66 2.83 3.03 AEO 1986 1.61 1.68 1.75 1.83 1.93 2.05 2.19 2.35 2.54 2.73 2.92 3.10 3.31 3.49 3.68 AEO 1987 1.52 1.55 1.65 1.75 1.84 1.96 2.11 2.27 2.44 3.55 AEO 1989* 1.50 1.51 1.68 1.77 1.88 2.00 2.13 2.26 2.40 2.55 2.70 2.86 3.00 AEO 1990 1.46 1.53 2.07 2.76 3.7 AEO 1991 1.51 1.58 1.66 1.77 1.88 1.96 2.06 2.16 2.28 2.41 2.57 2.70 2.85 3.04 3.26 3.46 3.65 3.87 4.08 4.33 AEO 1992 1.54 1.61 1.66 1.75 1.85 1.97 2.03 2.14 2.26 2.44 2.55 2.69 2.83 3.00 3.20 3.40 3.58 3.78 4.01 AEO 1993 1.92 1.54 1.61 1.70

260

Electronic copy available at: http://ssrn.com/abstract=1562102Electronic copy available at: http://ssrn.com/abstract=1562102 The Importance of Marginal Cost Electricity Pricing to the Success  

E-Print Network (OSTI)

://ssrn.com/abstract=1562102 GSPP10-002 The Importance of Marginal Cost Electricity Pricing to the Success of Greenhouse: http://ssrn.com/abstract=1562102 1 The Importance of Marginal Cost Electricity Pricing of GHG emissions: the pricing of offpeak electricity. There may be many opportunities to reduce

Sekhon, Jasjeet S.

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

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

price scenarios); a 33% renewable energy mix scenario; andthree 33% renewable energy mix scenarios that include,the standard 33% renewable energy mix scenario, the value of

Darghouth, Naim

2014-01-01T23:59:59.000Z

262

Robust scheduling of smart appliances with uncertain electricity prices in a heterogeneous population  

Science Journals Connector (OSTI)

Abstract Majority of the research conducted in the field of optimal scheduling of smart appliances does not consider the inherent uncertainties in this problem. Besides, the ones that count for the uncertainty usually assume full knowledge about the exact form of the probability distribution of the uncertain parameters. This assumption is hardly fulfilled in reality. In this paper, we seek to find solutions that are robust with respect to the probability distribution of the uncertain parameters while making no explicit assumptions about their exact forms. Accordingly, we define a chance-constrained model to find the optimal schedule and use robust optimization to characterize its solution and the associated uncertain parameters. We also consider the effect of heterogeneous populations on the optimal solution while simultaneously determining the most appropriate classification for accurate predictions. In the process, we investigate the effect of delays in information sharing on computed optimal conditions and we develop a new classification for in-house appliances. We explore features of our model using price data from the Olympic Peninsula project. We anticipate that by pursuing optimal options, a typical customer can save up to 33% in her electricity bills while sacrificing 19% of her comfort level. Moreover, in a heterogeneous population, while the results suggest no direct dependency between savings and income level, a meaningful correlation is detected between savings and employment status.

Nastaran Bassamzadeh; Roger Ghanem; Shuai Lu; Seyed Jalal Kazemitabar

2014-01-01T23:59:59.000Z

263

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

E-Print Network (OSTI)

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

Sancetta, Alessio; Nikanrova, Arina

2006-03-14T23:59:59.000Z

264

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

entail higher electricity costs than in the reference case,which yields lower electricity purchase costs for utilitiesand renewable electricity generation costs. This proportion

Darghouth, Naim

2014-01-01T23:59:59.000Z

265

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

USA. CEC, 2012. Electricity Consumption by Planning http://beyond their electricity consumption within each hour. Overwith significant electricity consumption. The variation in

Darghouth, Naim

2014-01-01T23:59:59.000Z

266

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

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sc3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sc3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:09 PM" "Back to Contents","Data 1: South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SC3" "Date","South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

267

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

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sc3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sc3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:09 PM" "Back to Contents","Data 1: South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SC3" "Date","South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

268

,"South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"  

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

Monthly","9/2013" Monthly","9/2013" ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sd3m.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sd3m.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:11 PM" "Back to Contents","Data 1: South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SD3" "Date","South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

269

2012 SG Peer Review - Recovery Act: NSTAR Automated Mater Reading Based Dynamic Pricing - Douglas Horton, NSTAR Electric & Gas  

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

Peer Peer Review Meeting Peer Review Meeting AMR Based Dynamic Pricing y g Doug Horton NSTAR Electric & Gas Co. 6/8/2012 AMR Based Dynamic Pricing Objective Provide two-way communication of electricity cost & consumption data utilizing the customers existing meter & Internet. Goal to achieve 5% reduction in peak and Goal to achieve 5% reduction in peak and average load. Life-cycle Funding ($K) Total Budget Total DOE Funding to Technical Scope Use customer's existing AMR meter and broadband Internet to achieve two way Total Budget Total DOE Funding Funding to Date $4,900k $2,362k $1,623k broadband Internet to achieve two way communication and "AMI" functionality Cutting-edge solution to integrate: * Existing meters E i ti I t t December 2008 * Existing Internet * Existing billing & CIS

270

,"South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"  

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

Annual",2012 Annual",2012 ,"Release Date:","12/12/2013" ,"Next Release Date:","1/7/2014" ,"Excel File Name:","n3045sd3a.xls" ,"Available from Web Page:","http://tonto.eia.gov/dnav/ng/hist/n3045sd3a.htm" ,"Source:","Energy Information Administration" ,"For Help, Contact:","infoctr@eia.doe.gov" ,,"(202) 586-8800",,,"12/12/2013 5:26:10 PM" "Back to Contents","Data 1: South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)" "Sourcekey","N3045SD3" "Date","South Dakota Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic Feet)"

271

Computational Intelligence Techniques for a Smart Electric Grid of the Future  

Science Journals Connector (OSTI)

The electric grid of the future is required to become smarter so as to provide an affordable, reliable, and sustainable supply of electricity. Under such circumstances, considerable research activities have been carried out in the U.S. and Europe to ... Keywords: Adaptive and Self-Healing Systems, Communications, Computational Intelligence, Information Infrastructure, Learning, Smart Electric Grid

Zhenhua Jiang

2009-05-01T23:59:59.000Z

272

Embedding renewable energy pricing policies in day-ahead electricity market clearing  

Science Journals Connector (OSTI)

Abstract Since the 90s various policies have been applied for supporting the development of Renewable Energy Sources (RES), including quota or amount-based systems and price-based systems (feed-in tariffs or FiT). In both cases, there is a political stress when there is a need to increase the renewable uplift charge rates (out-of-market mechanism), in order to finance the RES projects. This issue is resolved by adopting a novel market framework, in which the demand entities clearing price entails the whole cost they are willing to pay for their participation in the energy market, including energy prices, reserve prices and the RES uplift price. A Mixed Complementarity Problem is utilized for clearing the market, in which the demand clearing prices are implicitly defined by mixing the explicit prices for energy, reserves and the RES uplift. The model retains the consistency of the supply (energy and reserves) and demand cleared quantities with the respective bids and the clearing prices, and attains a significant decrease of the payments through the relevant uplift accounts. The efficiency of the proposed model is demonstrated on a 24-h day-ahead market simulation using the IEEE RTS-96, defining endogenously the RES uplift under a system-wide FiT and a Green Certificate mechanism.

Andreas G. Vlachos; Pandelis N. Biskas

2014-01-01T23:59:59.000Z

273

Power Systems Engineering Research Center Renewable Electricity Futures  

E-Print Network (OSTI)

levels of renewable electricity, including variable wind and solar generation. The study also identifies Laboratory. His particular interest is in capacity expansion and dispatch modeling of the electric- ity earned his PhD in theoretical physics from the University of California Santa Cruz. Speaker Contact

Van Veen, Barry D.

274

Uncharted Waters? The Future of the Electricity-Water Nexus  

Science Journals Connector (OSTI)

Electricity generation often requires large amounts of water, most notably for cooling thermoelectric power generators and moving hydroelectric turbines. ... The five variables identified include changes in 1) fuel consumption patterns, 2) cooling technology preferences, 3) environmental regulations, 4) ambient climate conditions, and 5) electric grid characteristics. ...

Kelly T. Sanders

2014-12-08T23:59:59.000Z

275

Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of  

E-Print Network (OSTI)

Scheduling in an Energy Cost Aware Environment The energy cost aware scheduling problem (ECASP) is concerned with variable electricity tariffs, where the price of electricity changes over time depending on the demand. It is important to large scale electricity consumers in manufacturing and service industries

276

Natural Gas Wellhead Price  

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

Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Pipeline and Distribution Use Price City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Vehicle Fuel Price Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 6.25 7.97 3.67 4.48 3.95 2.66 1922-2012 Alabama 7.44 9.65 4.32 4.46 1967-2010 Alaska 5.63 7.39 2.93 3.17 1967-2010 Arizona 5.98 7.09 3.19 4.11 1967-2010 Arkansas

277

Can Electricity pricing be a tool for efficient, equitable & sustainable use  

E-Print Network (OSTI)

Electricity supply under flat rate and pro rata Eastern UP Electricity supply under flat rate & diesel pump South Bihar Plains Electricity supply under flat rate & diesel pump #12;2/22/11 4 Approach electricity & groundwater use, of electric well owners and water buyers of electric & diesel commands o

Scott, Christopher

278

Assessment of Future Vehicle Transportation Options and their Impact on the Electric Grid  

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

Future Vehicle Transportation Future Vehicle Transportation Options and Their Impact on the Electric Grid January 10, 2010 New Analysis of Alternative Transportation Technologies 3 What's New? * Additional Alternative Transportation Vehicles - Compressed Air Vehicles (CAVs) * Use electricity from the grid to power air compressor that stores compressed air - Natural Gas Vehicles (NGVs) * Connection to grid is in competing demand for fuel * Still an internal combustion engine (ICE) - Hydrogen Vehicles * Use fuel cell technology, no connection to electricity grid 4 General Takeaways * CAVs - Unproven technology - Poor environmental performance - High cost * NGVs - Poor environmental performance - Lack of refueling infrastructure - Cheaper fuel cost than ICEs - No direct impact on electric power grid * Hydrogen - Unproven technology

279

Does Nova Scotia have an electric future? Response to  

E-Print Network (OSTI)

it comes to energy security and that electricity is one of these challenges. Hydro etc Wind Bioenergy Coal and radical changes in energy markets (IEA, 2007a; NPC, 2007). The cost and availability of crude oil

Hughes, Larry

280

Modelling futures price volatility in energy markets: Is there a role for financial speculation?  

Science Journals Connector (OSTI)

Abstract This paper models volatility in four energy futures markets, adopting GARCH models. The variance equation is enriched with alternative measures of speculation, based on CFTC data: the market share of non-commercial traders, the Working's T index, and the percentage of net long positions of non-commercials over total open interest in future markets. It also includes a control for market liquidity. We consider four energy commodities (light sweet crude oil, heating oil, gasoline and natural gas) over the period 20002014, analysed at weekly frequency. We find that speculation presents a negative and significant sign. The robustness exercise shows that: i) results remain unchanged through different model specifications (GARCH-in-mean, EGARCH, and TARCH); ii) results are robust to different specifications of the mean and variance equation.

Matteo Manera; Marcella Nicolini; Ilaria Vignati

2014-01-01T23:59:59.000Z

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.


281

The future of electric two-wheelers and electric vehicles in China  

E-Print Network (OSTI)

2001. Life cycle assessment of electric bike application inSystems. Cherry, C. , 2007. Electric Two-Wheelers in China:2007. 2006 Analysis of Electric Bike Market (2006 China

Weinert, Jonathan X.; Ogden, Joan M.; Sperling, Dan; Burke, Andy

2008-01-01T23:59:59.000Z

282

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

E-Print Network (OSTI)

. Significant variances between estimated prices quoted by TVA in advance and actual costs of delivered power are rare. When they do occur, customers can limit the impact to a single hour's purchase simply by promptly reducing their demand and the amount... minutes' notice. These situations are rare and usually result from weather extremes. \\,Jhile curtailments are not limited to just emergency situations, the cost-plus pricing provision of ESP avoids the need for TVA to employ economic curtailments...

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

283

Historical Costs of Coal-Fired Electricity and Implications for the Future  

E-Print Network (OSTI)

We study the costs of coal-fired electricity in the United States between 1882 and 2006 by decomposing it in terms of the price of coal, transportation costs, energy density, thermal efficiency, plant construction cost, interest rate, and capacity factor. The dominant determinants of costs at present are the price of coal and plant construction cost. The price of coal appears to fluctuate more or less randomly while the construction cost follows long-term trends, decreasing from 1902 - 1970, increasing from 1970 - 1990, and leveling off or decreasing a little since then. This leads us to forecast that even without carbon capture and storage, and even under an optimistic scenario in which construction costs resume their previously decreasing trending behavior, the cost of coal-based electricity will drop for a while but eventually be determined by the price of coal, which varies stochastically but shows no long term decreasing trends. Our analysis emphasizes the importance of using long time series and compari...

McNerney, James; Farmer, J Doyne

2010-01-01T23:59:59.000Z

284

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

SciTech Connect

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

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

2009-01-01T23:59:59.000Z

285

Concurrent Optimization of Consumer's Electrical Energy Bill and Producer's Power Generation Cost under a Dynamic Pricing  

E-Print Network (OSTI)

Concurrent Optimization of Consumer's Electrical Energy Bill and Producer's Power Generation Cost lower cost. I. INTRODUCTION There is no substitute for the status of electrical energy, which. Availability of affordable and sustainable electrical energy has been the key to prosperity and continued socio

Pedram, Massoud

286

What Is Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

What Is Price Volatility? What Is Price Volatility? The term "price volatility" is used to describe price fluctuations of a commodity. Volatility is measured by the day-to-day percentage difference in the price of the commodity. The degree of variation, not the level of prices, defines a volatile market. Since price is a function of supply and demand, it follows that volatility is a result of the underlying supply and demand characteristics of the market. Therefore, high levels of volatility reflect extraordinary characteristics of supply and/or demand. Prices of basic energy (natural gas, electricity, heating oil) are generally more volatile than prices of other commodities. One reason that energy prices are so volatile is that many consumers are extremely limited in their ability to substitute other fuels when the price, of natural gas

287

"2012 Total Electric Industry- Average Retail Price (cents/kWh)"  

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

Average Retail Price (cents/kWh)" Average Retail Price (cents/kWh)" "(Data from forms EIA-861- schedules 4A-D, EIA-861S and EIA-861U)" "State","Residential","Commercial","Industrial","Transportation","Total" "New England",15.713593,13.679941,11.83487,6.6759453,14.017926 "Connecticut",17.343298,14.652335,12.672933,9.6930118,15.54464 "Maine",14.658797,11.52742,7.9819499,".",11.812709 "Massachusetts",14.912724,13.841518,12.566635,4.9056852,13.78825 "New Hampshire",16.070168,13.36121,11.83228,".",14.192854 "Rhode Island",14.404061,11.867247,10.676724,8.2796427,12.740867 "Vermont",17.006075,14.316157,9.9796777,".",14.220244

288

A study of Shanghai fuel oil futures price volatility based on high frequency data: Long-range dependence, modeling and forecasting  

Science Journals Connector (OSTI)

In existing researches, the investigations of oil price volatility are always performed based on daily data and squared daily return is always taken as the proxy of actual volatility. However, it is widely accepted that the popular realized volatility (RV) based on high frequency data is a more robust measure of actual volatility than squared return. Due to this motivation, we investigate dynamics of daily volatility of Shanghai fuel oil futures prices employing 5-minute high frequency data. First, using a nonparametric method, we find that RV displays strong long-range dependence and recent financial crisis can cause a lower degree of long-range dependence. Second, we model daily volatility using RV models and GARCH-class models. Our results indicate that RV models for intraday data overwhelmingly outperform GARCH-class models for daily data in forecasting fuel oil price volatility, regardless the proxy of actual volatility. Finally, we investigate the major source of such volatile prices and found that trader activity has major contribution to fierce variations of fuel oil prices.

Li Liu; Jieqiu Wan

2012-01-01T23:59:59.000Z

289

Table ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States  

Gasoline and Diesel Fuel Update (EIA)

ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States ET1. Primary Energy, Electricity, and Total Energy Price and Expenditure Estimates, Selected Years, 1970-2011, United States Year Primary Energy Electric Power Sector h,j Retail Electricity Total Energy g,h,i Coal Coal Coke Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i,j Coking Coal Steam Coal Total Exports Imports Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f,g Prices in Dollars per Million Btu 1970 0.45 0.36 0.38 1.27 0.93 0.59 1.16 0.73 1.43 2.85 0.42 1.38 1.71 0.18 1.29 1.08 0.32 4.98 1.65 1975 1.65 0.90 1.03 2.37 3.47 1.18 2.60 2.05 2.96 4.65 1.93 2.94 3.35 0.24 1.50 2.19 0.97 8.61 3.33 1980 2.10 1.38 1.46 2.54 3.19 2.86 6.70 6.36 5.64 9.84 3.88 7.04 7.40 0.43 2.26 4.57 1.77 13.95 6.89 1985 2.03 1.67 1.69 2.76 2.99 4.61 7.22 5.91 6.63 9.01 4.30 R 7.62 R 7.64 0.71 2.47 4.93 1.91 19.05

290

Managing Energy Price Risk with Derivatives  

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

Managing Energy Price Risk with Derivatives Managing Energy Price Risk with Derivatives Speaker(s): Douglas Hale Date: September 18, 2003 - 12:00pm Location: Bldg. 90 Seminar Host/Point of Contact: Joseph Eto Energy derivatives came into being with the deregulation of the petroleum and natural gas industries in the early 1980s. Although derivatives-forwards, futures and options-have been used in American agriculture since the mid-1800's to manage price risk, they were unnecessary in regulated energy industries. Deregulation revealed that oil, gas and electricity prices are exceptionally volatile. Companies were forced to cope with the uncertainty in energy prices; they latched onto derivatives as one tool for managing that risk. Enron's collapse brought energy derivatives to public attention. Following the derivative linked

291

Prices and Price Setting.  

E-Print Network (OSTI)

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

R.P. Faber (Riemer)

2010-01-01T23:59:59.000Z

292

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

E-Print Network (OSTI)

at critical periods of high demand, hoping that users will lower their demand. Increasing the customer load factor increases the overall system load factor and helps decrease the capital costs of supplied power. In this way, also, @eater system reliability.... The communications path for the transfer of the prices from the utility to the customer can take several forms. Most of the required software and hardware already exist in typical systems, or can be easily added. Sensor lnput f System Load Control Output 4...

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

293

Electricity Bill Savings from Residential Photovoltaic Systems: Sensitivities to Changes in Future Electricity Market Conditions  

E-Print Network (OSTI)

including geothermal, small hydro, and biogas, as well as noby biomass, 1.5% by small hydro, and 0.3% by PV. The pricebiomass, geothermal, and small hydro electricity generation

Darghouth, Naim

2014-01-01T23:59:59.000Z

294

Household response to dynamic pricing of electricity: a survey of 15 experiments  

Science Journals Connector (OSTI)

Since the energy crisis of 20002001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ... generation costs that could be brought abou...

Ahmad Faruqui; Sanem Sergici

2010-10-01T23:59:59.000Z

295

Pricing and Technology Options: An Analysis of Ontario Electricity Capacity Requirements and GHG Emissions  

Science Journals Connector (OSTI)

Many jurisdictions face the problem of having to reduce GHG emissions and new electricity capacity requirements. Ontario...2, SO2 and NOx emissions under different technologies. We also introduce transfer of dem...

Pierre-Olivier Pineau; Stephan Schott

2005-01-01T23:59:59.000Z

296

Marginal Cost Pricing: An Efficient Tool to Ensure Electricity Demand Side Management  

Science Journals Connector (OSTI)

The constant adaptation between electricity supply and demand can be achieved in two ways : On the supply side, through the construction of additional facilities, and on the demand side, by implementing tariffs, ...

B. Lescoeur; J. B. Galland; E. Husson

1988-01-01T23:59:59.000Z

297

Average Commercial Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

298

Average Commercial Price  

Gasoline and Diesel Fuel Update (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 Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

299

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (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 Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

300

Average Residential Price  

Gasoline and Diesel Fuel Update (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 Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

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

Average Residential Price  

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

Citygate Price Residential Price Commercial Price Industrial Price Electric Power Price Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Gas in Underground Storage Base Gas in Underground Storage Working Gas in Underground Storage Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

302

Large power users and capacity shortages in developing countries: the role of innovative pricing  

Science Journals Connector (OSTI)

This paper addresses innovative electricity pricing as a strategy for managing electric load, offering pricing as an alternative to building generating capacity to meet electric load commitments in the developing world. Drawing upon the Western experience with pricing as a demand-side management strategy, three questions are addressed: (i) Do innovative pricing strategies alter the amount and pattern of electricity consumption for high-voltage users? (ii) What are future directions in electricity pricing for industrial users? and (iii) Are these strategies relevant for power systems in the developing world? The most widely adopted innovative pricing strategies by Western utilities are variants of time-of-use (TOU) pricing, which have generally been effective in reducing load during peak periods. More recently, technological advances have allowed utilities to experiment with aligning electricity prices more closely with actual power delivery costs. While temporal aspects of these innovative pricing strategies have general applicability as a load management strategy, the power systems in many developing countries have more urgent pricing priorities than adopting the most recent strategies of Western utilities.

Lawrence J. Hill

1991-01-01T23:59:59.000Z

303

ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET  

E-Print Network (OSTI)

of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy. University of California Energy Institute 2539 Channing Way Berkeley, California 94720-5180 www-ahead electricity market in Norway. We consider the hypothesis that generators are better able to exercise market

California at Berkeley. University of

304

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

SciTech Connect

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

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

1982-06-01T23:59:59.000Z

305

An Electricity-focused Economic Input-output Model: Life-cycle Assessment and Policy Implications of Future Electricity Generation Scenarios  

E-Print Network (OSTI)

of Future Electricity Generation Scenarios Joe Marriott Submitted in Partial Fulfillment of the Requirements chains and emission factors for the generation, transmission and distribution portions of the electricity, for electricity and for particular products, results show environmental impacts split up by generation type

306

Evaluation of evolving residential electricity tariffs  

SciTech Connect

Residential customers in California's Pacific Gas and Electric (PG&E) territory have seen several electricity rate structure changes in the past decade. This poster: examines the history of the residential pricing structure and key milestones; summarizes and analyzes the usage between 2006 and 2009 for different baseline/climate areas; discusses the residential electricity Smart Meter roll out; and compares sample bills for customers in two climates under the current pricing structure and also the future time of use (TOU) structure.

Lai, Judy; DeForest, Nicholas; Kiliccote, Sila; Stadler, Michael; Marnay, Chris; Donadee, Jon

2011-05-15T23:59:59.000Z

307

Can anything better come along? Reflections on the deep future of hydrogen-electricity systems  

SciTech Connect

Sometimes, for some things, we can project the deep future better than tomorrow. This is particularly relevant to our energy system where, if we focus on energy currencies, looking further out allows us to leap the tangles of today's conventional wisdom, vested mantras and ill-found hopes. We will first recall the rationale that sets out why - by the time the 22. century rolls around - hydrogen and electricity will have become civilizations staple energy currencies. Building on this dual-currency inevitability we'll then evoke the wisdom that, while we never know everything about the future we always know something. For future energy systems that 'something' is the role and nature of the energy currencies. From this understanding, our appreciation of the deep future can take shape - at least for infrastructures, energy sources and some imbedded technologies - but not service-delivery widgets. The long view provides more than mere entertainment. It should form the basis of strategies for today that, in turn, will avoid setbacks and blind alleys on our journey to tomorrow. Some people accept that hydrogen and electricity will be our future, but only 'until something better comes along.' The talk will conclude with logic that explains the response: 'No{exclamation_point} Nothing better will ever come along.'. (authors)

Scott, D. S. [International Association for Hydrogen Energy (United States); Inst. for Integrated Energy Systems, U. of Victoria (Canada); Environmentalists for Nuclear Energy (Canada)

2006-07-01T23:59:59.000Z

308

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

E-Print Network (OSTI)

Price ($/MWh) Conservation Adjusted Demand Response (MW) The elasticitiesDemand Response (MW) To estimate the peak-period price response of SC-3A customers as a group, the elasticitiesresponse capability, and quantitatively through the estimation of price elasticity using demand

2004-01-01T23:59:59.000Z

309

Choosing an electrical energy future for the Pacific Northwest: an alternative scenario  

SciTech Connect

A strategy is presented for averting the short-term energy supply uncertainties that undermine prospects for stable economic development in the Pacific Northwest. This strategy is based on: an analysis of the present electric power consumption by various end-use sectors; comparison of incentives to promote energy conservation and lower demand growth; analysis of alternatives to current dependency on hydro power; and a study of the cost of planning and implementing future power supply programs. (LCL)

Beers, J.R.; Cavanagh, R.C.; Lash, T.R.; Mott, L.

1980-05-19T23:59:59.000Z

310

Average Residential Price  

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

Pipeline and Distribution Use Price Citygate Price Residential Price Commercial Price Industrial Price Vehicle Fuel Price Electric Power Price Proved Reserves as of 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

311

Average Residential 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 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

312

Average Commercial 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 12/31 Reserves Adjustments Reserves Revision Increases Reserves Revision Decreases Reserves Sales Reserves Acquisitions Reserves Extensions Reserves New Field Discoveries New Reservoir Discoveries in Old Fields Estimated Production Number of Producing Gas Wells Gross Withdrawals Gross Withdrawals From Gas Wells Gross Withdrawals From Oil Wells Gross Withdrawals From Shale Gas Wells Gross Withdrawals From Coalbed Wells Repressuring Nonhydrocarbon Gases Removed Vented and Flared Marketed Production Natural Gas Processed NGPL Production, Gaseous Equivalent Dry Production Imports By Pipeline LNG Imports Exports Exports By Pipeline LNG Exports Underground Storage Capacity Underground Storage Injections Underground Storage Withdrawals Underground Storage Net Withdrawals LNG Storage Additions LNG Storage Withdrawals LNG Storage Net Withdrawals Total Consumption Lease and Plant Fuel Consumption Lease Fuel Plant Fuel Pipeline & Distribution Use Delivered to Consumers Residential Commercial Industrial Vehicle Fuel Electric Power Period: Monthly Annual

313

Price discovery in energy markets  

Science Journals Connector (OSTI)

Abstract In this study, we empirically analyze the price discovery process in the futures and spot markets for crude oil, heating oil and natural gas using daily closing prices. We use two different information share measures that are based on the methods proposed by Gonzalo and Granger (1995) and Lien and Shrestha (2014). Both measures indicate that almost all the price discovery takes place in the futures markets for the heating oil and natural gas. However, for the crude oil, the price discovery takes place both in the futures and spot markets. As a whole, our study indicates that futures markets play an important role in the price discovery process.

Keshab Shrestha

2014-01-01T23:59:59.000Z

314

Choosing an electrical energy future for the Pacific Northwest: an Alternative Scenario  

SciTech Connect

An Alternative Scenario for the electric energy future of the Pacific Northwest is presented. The Scenario includes an analysis of each major end use of electricity in the residential, commercial, manufacturing, and agricultural sectors. This approach affords the most direct means of projecting the likely long-term growth in consumption and the opportunities for increasing the efficiency with which electricity is used in each instance. The total demand for electricity by these end uses then provides a basis for determining whether additional central station generation is required to 1995. A projection of total demand for electricity depends on the combination of many independent variables and assumptions. Thus, the approach is a resilient one; no single assumption or set of linked assumptions dominates the analysis. End-use analysis allows policymakers to visualize the benefits of alternative programs, and to make comparison with the findings of other studies. It differs from the traditional load forecasts for the Pacific Northwest, which until recently were based largely on straightforward extrapolations of historical trends in the growth of electrical demand. The Scenario addresses the supply potential of alternative energy sources. Data are compiled for 1975, 1985, and 1995 in each end-use sector.

Cavanagh, R.C.; Mott, L.; Beers, J.R.; Lash, T.L.

1980-08-01T23:59:59.000Z

315

FutureGen Technologies for Carbon Capture and Storage and Hydrogen and Electricity Production  

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

FutureGen FutureGen Technologies for Carbon Capture and Storage and Hydrogen and Electricity Production Office of Fossil Energy U. S. Department of Energy Washington, DC June 2, 2003 Lowell Miller, Director, Office of Coal & Power Systems 24-Jun-03 Slide 2 Office of Fossil Energy Presentation Agenda * FE Hydrogen Program * FutureGen * Carbon Sequestration Leadership Forum (CSLF) 24-Jun-03 Slide 3 Office of Fossil Energy Key Drivers * Decreasing domestic supply will lead to increased imports from less stable regions * Conventional petroleum is finite; production will peak and irreversibly decline due to continually increasing demand * Improving environmental quality - Meeting air emission regulations - Greenhouse gas emissions 0 2 4 6 8 10 12 14 16 18 20 1970 1975 1980 1985 1990 1995 2000 2005

316

NYMEX Coal Futures - Energy Information Administration  

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

NYMEX Coal Futures Near-Month Contract Final Settlement Price 2013 NYMEX Coal Futures Near-Month Contract Final Settlement Price 2013 Data as of: December 13, 2013 | Release Date: December 16, 2013 | Next Release Date: December 30, 2013 U.S. coal exports, chiefly Central Appalachian bituminous, make up a significant percentage of the world export market and are a relevant factor in world coal prices. Because coal is a bulk commodity, transportation is an important aspect of its price and availability. In response to dramatic changes in both electric and coal industry practices, the New York Mercantile Exchange (NYMEX) after conferring with coal producers and consumers, sought and received regulatory approval to offer coal futures and options contracts. On July 12, 2001, NYMEX began trading Central Appalachian Coal futures under the QL symbol.

317

Influence of wind power on hourly electricity prices and GHG (greenhouse gas) emissions: Evidence that congestion matters fromOntario zonal data  

Science Journals Connector (OSTI)

Abstract With the growing share of wind production, understanding its impacts on electricity price and greenhouse gas (GHG) emissions becomes increasingly relevant, especially to design better wind-supporting policies. Internal grid congestion is usually not taken into account when assessing the price impact of fluctuating wind output. Using 20062011 hourly data from Ontario (Canada), we establish that the impact of wind output, both on price level and marginal GHG emissions, greatly differs depending on the congestion level. Indeed, from an average of 3.3% price reduction when wind production doubles, the reduction jumps to 5.5% during uncongested hours, but is only 0.8% when congestion prevails. Similarly, avoided GHG emissions due to wind are estimated to 331.93 kilograms per megawatt-hour (kg/MWh) using all data, while for uncongested and congested hours, estimates are respectively 283.49 and 393.68kg/MWh. These empirical estimates, being based on 20062011 Ontario data, cannot be generalized to other contexts. The main contribution of this paper is to underscore the importance of congestion in assessing the price and GHG impacts of wind. We also contribute by developing an approach to create clusters of data according to the congestion status and location. Finally, we compare different approaches to estimate avoided GHG emissions.

Mourad Ben Amor; Etienne Billette de Villemeur; Marie Pellat; Pierre-Olivier Pineau

2014-01-01T23:59:59.000Z

318

Addressing an Uncertain Future Using Scenario Analysis  

E-Print Network (OSTI)

and unpredictable fuel prices, should be truly worth moreNatural Gas Generation Fuel Price The history shown in theuncertain electricity and fuel prices. In other words, a

Siddiqui, Afzal S.; Marnay, Chris

2008-01-01T23:59:59.000Z

319

Fairness and dynamic pricing: comments  

SciTech Connect

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

Hogan, William W.

2010-07-15T23:59:59.000Z

320

Assessment of Future Vehicle Transportation Options and Their Impact on the Electric Grid  

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

Future Vehicle Future Vehicle Transportation Options and Their Impact on the Electric Grid January 10, 2011 DOE/NETL-2010/1466 Disclaimer This report was prepared as an account of work sponsored by an agency of the United States Government. Neither the United States Government nor any agency thereof, nor any of their employees, makes any warranty, express or implied, or assumes any legal liability or responsibility for the accuracy, completeness, or usefulness of any information, apparatus, product, or process disclosed, or represents that its use would not infringe privately owned rights. Reference therein to any specific commercial product, process, or service by trade name, trademark, manufacturer, or otherwise does not necessarily constitute or imply its endorsement,

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

A demand responsive bidding mechanism with price elasticity matrix in wholesale electricity pools ; A demand responsive bidding mechanism with price elasticity matrix .  

E-Print Network (OSTI)

??In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage (more)

Wang, Jiankang, Ph. D. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

322

Food price volatility  

Science Journals Connector (OSTI)

...much lower on the political agenda in the...Despite the inherent risks in agricultural...markets and crop insurance. While these...measures of price risk management (Morgan 2001). Insurance markets are well...not for price risk. Futures and...

2010-01-01T23:59:59.000Z

323

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options and Policy Priorities  

E-Print Network (OSTI)

Electricity Demand-Side Management for an Energy Efficient Future in China: Technology Options sensitive impacts on electricity demand growth by different demand-side management (DSM) scenarios countries. The research showed that demand side management strategies could result in significant reduction

de Weck, Olivier L.

324

Nebraska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Wellhead Price 4.86 6.22 2.97 3.98 1967-2010 Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.67 8.12 5.87 5.62 5.11 4.31 1984-2012 Residential Price 11.15 11.11 9.34 8.95 8.84 8.68 1967-2012 Percentage of Total Residential Deliveries included in Prices 85.7 87.1 87.8 87.4 87.3 85.8 1989-2012 Commercial Price 9.16 9.62 7.44 7.08 6.69 6.19 1967-2012 Percentage of Total Commercial Deliveries included in Prices 63.9 57.5 61.3 60.6 60.6 55.8 1990-2012 Industrial Price 7.97 9.12 6.02 5.85 5.61 4.34 1997-2012 Percentage of Total Industrial Deliveries included in Prices 9.7 10.2 8.9 8.2 7.6 6.8 1997-2012 Vehicle Fuel Price 15.10 15.29 1994-2012 Electric Power Price

325

Today in Energy - Daily Prices - Prices - U.S. Energy Information  

Gasoline and Diesel Fuel Update (EIA)

December 20, 2013Daily Prices December 20, 2013Daily Prices Daily wholesale and retail prices for various energy products are shown below, including spot prices and select futures prices at national or regional levels. Prices are updated each weekday (excluding federal holidays), typically between 7:30 and 8:30 a.m. This page is meant to provide a snapshot of selected daily prices only. Prices are republished by EIA with permission as follows: Wholesale Spot Petroleum Prices from Thomson Reuters, Retail Petroleum Prices from AAA Fuel Gauge Report, Prompt-Month Energy Futures from CME Group, and Select Spot Prices from SNL Energy. Daily Prices Wholesale Spot Petroleum Prices, 12/19/13 Close Product Area Price Percent Change* Crude Oil ($/barrel) WTI 98.40 +0.8 Brent 110.78 +1.1 Louisiana Light 108.27 +4.9

326

Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects  

E-Print Network (OSTI)

blending strategy of the electric motor and engine when thesignificantly lower electric motor power (ex. the singlehybrid even though the electric motor had a peak power of

Burke, Andy; Miller, Marshall

2009-01-01T23:59:59.000Z

327

prices | OpenEI  

Open Energy Info (EERE)

prices prices Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 12, and contains only the reference case. The dataset uses 2009 dollars per gallon. The data is broken down into crude oil prices, residential, commercial, industrial, transportation, electric power and refined petroleum product prices. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Petroleum prices Data application/vnd.ms-excel icon AEO2011: Petroleum Product Prices- Reference Case (xls, 129.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035

328

Vermont Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Imports Price 8.51 9.74 6.34 6.54 5.81 4.90 1989-2012 Pipeline and Distribution Use Price 1982-2005 Citygate Price 10.03 10.66 9.33 8.29 7.98 6.63 1984-2012 Residential Price 15.99 18.31 17.29 16.14 16.17 16.73 1980-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.79 14.31 12.96 11.82 11.90 12.09 1980-2012 Percentage of Total Commercial Deliveries included in Prices 100 100 100 100 100 100 1990-2012 Industrial Price 9.08 9.60 7.93 6.57 6.09 4.89 1997-2012 Percentage of Total Industrial Deliveries included in Prices 78.0 79.6 77.9 77.1 80.9 100.0 1997-2012 Electric Power Price 7.72 9.14 5.66 5.73 5.26 4.14 1997-2012

329

Connecticut Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.67 10.24 6.81 6.58 5.92 5.12 1984-2012 Residential Price 16.39 17.85 14.81 14.93 13.83 14.17 1967-2012 Percentage of Total Residential Deliveries included in Prices 98.2 97.7 97.5 97.3 96.8 96.7 1989-2012 Commercial Price 12.61 13.81 9.92 9.55 8.48 8.40 1967-2012 Percentage of Total Commercial Deliveries included in Prices 71.5 70.7 69.0 65.4 65.4 65.1 1990-2012 Industrial Price 10.54 12.63 8.44 9.60 9.16 8.83 1997-2012 Percentage of Total Industrial Deliveries included in Prices 50.0 47.3 37.5 31.1 31.0 32.3 1997-2012 Vehicle Fuel Price 20.57 24.04 15.26 16.31 18.59 13.70 1992-2012 Electric Power Price 7.81 10.48 4.89 5.70 5.09 3.99 1997-2012

330

Iowa Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 7.80 8.28 5.62 5.69 5.27 4.84 1984-2012 Residential Price 11.76 11.91 9.83 9.57 9.54 9.46 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 9.97 10.25 7.88 7.81 7.55 7.13 1967-2012 Percentage of Total Commercial Deliveries included in Prices 77.7 75.8 72.5 72.0 72.1 72.3 1990-2012 Industrial Price 8.56 9.32 6.23 6.10 5.78 4.70 1997-2012 Percentage of Total Industrial Deliveries included in Prices 6.5 6.6 6.4 5.8 5.5 5.2 1997-2012 Vehicle Fuel Price 11.68 -- -- -- -- -- 1990-2012 Electric Power Price 7.73 W W W W 3.84 1997-2012

331

Distributed Energy Consumption Control via Real-TimePricing Feedback in Smart Grid  

E-Print Network (OSTI)

provider publishes the electricity price p(l k ), and thethe announcement of electricity price [5]. Recently, game3. The role of the electricity price is similar to the lever

Ma, Kai; Hu, Guoqiang; Spanos, Costas J

2014-01-01T23:59:59.000Z

332

Electrochemical Capacitors as Energy Storage in Hybrid-Electric Vehicles: Present Status and Future Prospects  

E-Print Network (OSTI)

of the engine and electric drive system. In the case of apower rating of the electric drive system in the vehicle. Aswas to operate on the electric drive when possible and to

Burke, Andy; Miller, Marshall

2009-01-01T23:59:59.000Z

333

Analytical model for solar PV and CSP electricity costs: Present LCOE values and their future evolution  

Science Journals Connector (OSTI)

In this paper we first make a review of the past annual production of electricity and the cumulative installed capacity for photovoltaic (PV) and concentrating solar power (CSP) technologies. This together with the annual costs of PV modules and CSP systems allows us the determination of the experience curves and the corresponding learning rates. Then, we go over a rigorous exposition of the methodology employed for the calculation of the value of the levelized cost of electricity (LCOE) for PV and CSP. Based on this knowledge, we proceed to establish a mathematical model which yields closed-form analytical expressions for the present value of the LCOE, as well as its future evolution (20102050) based on the International Energy Agency roadmaps for the cumulative installed capacity. Next, we explain in detail how specific values are assigned to the twelve independent variables which enter the LCOE formula: solar resource, discount and learning rates, initial cost and lifetime of the system, operational and maintenance costs, etc. With all this background, and making use of a simple computer simulation program, we can generate the following: sensitivity analysis curves, graphs on the evolution of the LCOE in the period 20102050, and calculations of the years at which grid parities will be reached. These representations prove to be very useful in energy planning policies, like tariff-in schemes, tax exemptions, etc., and in making investment decisions, since they allow, for a given location, to directly compare the costs of PV vs CSP power generation technologies for the period 20102050. Among solar technologies, PV seems always more appropriate for areas located in middle to high latitudes of the Earth, while CSP systems, preferably with thermal storage incorporated, yield their best performance in arid areas located at relatively low latitudes.

J. Hernndez-Moro; J.M. Martnez-Duart

2013-01-01T23:59:59.000Z

334

Current status, architecture, and future directions for the international space station electric power system  

SciTech Connect

The Electric Power System (EPS) on the International Space Station Alpha has undergone several significant changes over the last year, as major design decisions have been made for the overall station. While the basic topology and system elements have remained as they were under the Freedom program, there are important differences in connectivity, assembly sequence, and start-up. The key drivers for these changes in architecture have been the goal to simplify verification, and most significantly, the introduction of extensive Russian participation in the program. Having the Russians join the international community in this project has resulted in an expanded station size, larger crew, and almost doubled the observable surface of the earth covered by the station. For the power system it has meant additional interfaces for power transfer, and new challenges for solar tracking at the higher inclination orbit. This paper reviews the current architecture and emphasizes the new features that have evolved, as the design for the new, larger station has developed. Additionally, the possible application of developing technology to the station, and other future missions is considered.

Gholdston, E.; Hartung, J.; Friefeld, J. [Rockwell International, Canoga Park, CA (United States). Rocketdyne Division

1995-12-31T23:59:59.000Z

335

Reduction in subsidy for solar power as distributed electricity generation in Indian future competitive power market  

Science Journals Connector (OSTI)

Developed countries have seen renewable energy as a key tool for emission reduction as well as reducing reliance on oil gas and coal.Renewable energy sources (RESs) and technologies have potential to provide solutions to the longstanding energy problems being faced by the developing countries. In the future competitive electricity market for India it becomes very much important to give special consideration for development of RESs due to economic environmental and other social problems related with conventional generations.Solar energy can be an important part of India's plan not only to add new capacity but also to increase energy security and lead the massive market for renewable energy. The major problem with solar powergeneration (SPG) is high cost of renewable generation. The Indian government is providing a lot of subsidy in order to encourage renewable energygenerations. This paper presents an approach for reduction in subsidy of SPG used as distributed generator in competitive power market. The proposed approach has been validated with IEEE 14-bus and IEEE 30-bus systems.

Naveen Kumar Sharma; Yog Raj Sood

2012-01-01T23:59:59.000Z

336

PNNL Expert Landis Kannberg Discusses the Electrical Grid of the Future  

SciTech Connect

Mechanical Engineer Landis Kannberg discusses how PNNL is improving the nation's electricity infrastructure.

Landis Kannberg

2011-10-11T23:59:59.000Z

337

The marginal effects of the price for carbon dioxide: quantifying the effects on the market for electric generation in Florida  

SciTech Connect

Greater emphasis on public policy aimed at internalizing the societal cost of carbon dioxide emissions leads to more questions about the economic impacts of that policy. In cooperation with the State of Florida's Department of Environmental Protection, the authors have constructed a model to simulate the dispatch of electric generating units to serve electric load in the state - and obtained some counterintuitive results. (author)

Kury, Theodore J.; Harrington, Julie

2010-05-15T23:59:59.000Z

338

EIA - Natural Gas Price Data & Analysis  

Gasoline and Diesel Fuel Update (EIA)

Prices Prices Prices U.S. and State prices for wellhead, imports, exports, citygate, and end-use sectors. Percentages of total volume delivered by sector. (monthly, annual). Residential and Commercial Prices by Local Distributors and Marketers Average price of natural gas delivered to residential and commercial consumers by local distribution companies and marketers, and the percent sold by local distribution companies in selected states and DC (annual). Spot and Futures Prices Henry Hub natural gas spot price and New York Mercantile Exchange futures contract prices for natural gas based on delivery at the Henry Hub in Louisiana (daily, weekly, monthly, annual). Natural Gas Weekly Update Analysis of current price, supply, and storage data; and a weather snapshot.

339

Spot pricing of public utility services  

E-Print Network (OSTI)

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

Bohn, Roger E.

1982-01-01T23:59:59.000Z

340

Regular price  

E-Print Network (OSTI)

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

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

Cheese Prices  

E-Print Network (OSTI)

Cheese prices are derived from the USDA Agricultural Marketing Service Market News, the National Agricultural Statistics Service, and the Chicago Mercantile Exchange. This publication explains the process of cheese pricing. It includes information...

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

2003-08-25T23:59:59.000Z

342

Optimal Time-of-Use Pricing For Residential Load Control  

E-Print Network (OSTI)

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

Kumar, Sunil

343

Price Server System for Automated Critical Peak Pricing  

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

Price Server System for Automated Critical Peak Pricing Price Server System for Automated Critical Peak Pricing Speaker(s): David S. Watson Date: June 3, 2005 - 12:00pm Location: 90-3148 Overview of current California Energy Commission (CEC)/Demand Response Research Center (DRRC) Auto-CPP project: This summer, some select commercial CPP customers of PG&E will have the option of joining the Automated Critical Peak Pricing pilot. The pilot will have the same tariffs as standard CPP programs, but will include an added feature: automated shedding of electric loads. Through use of the Price Server System, day-ahead CPP event signals initiated by PG&E will ultimately cause electric loads to be automatically curtailed on commercial customer sites. These optional predetermined shed strategies will occur without

344

The Market Value and Cost of Solar Photovoltaic Electricity Production  

E-Print Network (OSTI)

Renew- ables, The Electricity Journal, Volume 14 (2001),from Real-Time Retail Electricity Pricing: Bill VolatilityReal- Time Retail Electricity Pricing, Energy Journal,28(

Borenstein, Severin

2008-01-01T23:59:59.000Z

345

Abstract-Coal and hydro will be the main sources of electric energy in Chile for the near future, given that natural gas  

E-Print Network (OSTI)

, given that natural gas from neighbouring Argentina is not longer available and LNG price projections, the most economic technologies define the system's development. Availability of natural gas from Argentina on import of natural gas from Argentina since 2004 created an unbalance in the Chilean electric market

Dixon, Juan

346

Class Pricing  

E-Print Network (OSTI)

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

Wernerfelt, Birger

2008-01-15T23:59:59.000Z

347

A method for the prediction of future driving conditions and for the energy management optimisation of a hybrid electric vehicle  

Science Journals Connector (OSTI)

Vehicular communications are expected to enable the development of Intelligent Cooperative Systems for solving crucial problems related to mobility: road safety, traffic management etc. Information and Communication Technologies could also play an important role in order to optimise the energy management of conventional, hybrid and electrical vehicles and, thus, to reduce their environment impact. In particular, vehicular communications could be used to predict driving conditions with the objective to determine future load power demand. An adaptive energy management strategy for series Hybrid Electric Vehicles (HEVs) based on genetic algorithm optimised maps and the Simulation of Urban Mobility (SUMO) predictor is presented here.

Teresa Donateo; Damiano Pacella; Domenico Laforgia

2012-01-01T23:59:59.000Z

348

Profit Split, the Future of Transfer Pricing? Arms Length Principle and Formulary Apportionment Revisited from a Theoretical and a Practical Perspective  

Science Journals Connector (OSTI)

This article compares the Profit Split Method (PSM), one of the transfer pricing methods for the application of the arms length principle, with Formulary Apportionment (FA) which is discusse...

Heinz-Klaus Kroppen; Roman Dawid

2012-01-01T23:59:59.000Z

349

Visualizations for Real-time Pricing Demonstration  

SciTech Connect

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

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

2014-10-13T23:59:59.000Z

350

Charting patterns on price history  

Science Journals Connector (OSTI)

It is an established notion among financial analysts that price moves in patterns and these patterns can be used to forecast future price. As the definitions of these patterns are often subjective, every analyst has a need to define and search meaningful ...

Saswat Anand; Wei-Ngan Chin; Siau-Cheng Khoo

2001-10-01T23:59:59.000Z

351

Definition: Critical Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

Pricing Pricing Jump to: navigation, search Dictionary.png Critical Peak Pricing When utilities observe or anticipate high wholesale market prices or power system emergency conditions, they may call critical events during a specified time period (e.g., 3 p.m.-6 p.m. on a hot summer weekday), the price for electricity during these time periods is substantially raised. Two variants of this type of rate design exist: one where the time and duration of the price increase are predetermined when events are called and another where the time and duration of the price increase may vary based on the electric grid's need to have loads reduced;[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/critical_peak_pricing Ret LikeLike UnlikeLike

352

Future States: The Convergence of Smart Grid, Renewables, Shale Gas, and Electric Vehicles  

SciTech Connect

Dick Cirillo and Guenter Conzelmann present on research involving renewable energy sources, the use of natural gas, electric vehicles, and the SMART grid.

Dick Cirillo; Guenter Conzelmann

2013-03-20T23:59:59.000Z

353

Future States: The Convergence of Smart Grid, Renewables, Shale Gas, and Electric Vehicles  

ScienceCinema (OSTI)

Dick Cirillo and Guenter Conzelmann present on research involving renewable energy sources, the use of natural gas, electric vehicles, and the SMART grid.

Dick Cirillo; Guenter Conzelmann

2013-06-07T23:59:59.000Z

354

Lynn Price  

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

Lynn Price Lynn Price China Energy Group Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720 Office Location: 90-2108 (510) 486-6519 LKPrice@lbl.gov Lynn Price is a Staff Scientist and Leader of the China Energy Group of the Energy Analysis and Environmental Impacts Department, Environmental Energy Technologies Division, of Lawrence Berkeley National Laboratory. Ms. Price has a MS in Environmental Science from the University of Wisconsin-Madison and has worked at LBNL since 1990. Ms. Price has been a member of the Intergovernmental Panel on Climate Change, which won the Nobel Peace Prize in 2007, since 1994 and was an author on the industrial sector chapter of IPCC's Fourth Assessment Report on Mitigation of Climate Change. Since 1999, Ms. Price has provided technical assistance to the Energy

355

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

Notes: Notes: Prices have already recovered from the spike, but are expected to remain elevated over year-ago levels because of the higher crude oil prices. There is a lot of uncertainty in the market as to where crude oil prices will be next winter, but our current forecast has them declining about $2.50 per barrel (6 cents per gallon) from today's levels by next October. U.S. average residential heating oil prices peaked at almost $1.50 as a result of the problems in the Northeast this past winter. The current forecast has them peaking at $1.08 next winter, but we will be revisiting the outlook in more detail next fall and presenting our findings at the annual Winter Fuels Conference. Similarly, diesel prices are also expected to fall. The current outlook projects retail diesel prices dropping about 14 cents per gallon

356

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

SciTech Connect

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

Bolinger, Mark; Wiser, Ryan; Golove, William

2003-08-13T23:59:59.000Z

357

Average Residential Price  

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

Data Series: Average Residential Price Residential Price - Local Distribution Companies Residential Price - Marketers Residential % Sold by Local Distribution Companies Average...

358

Essays on Price Dynamics  

E-Print Network (OSTI)

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

359

World oil prices expected to fall  

Science Journals Connector (OSTI)

World oil prices expected to fall ... The good news is that world oil prices probably will fall somewhat in the near future. ... The bad news is that oil prices probably will begin rising again in the mid-1980s, and even the optimists suspect that they will continue to do so thereafter. ...

1983-10-10T23:59:59.000Z

360

Concentrated solar power in the future of electricity generation: a synthesis of reasons  

Science Journals Connector (OSTI)

...electricity generation. Experience...steam-Rankine coal-fired power plants, nuclear...defaults in generation units. Large...need to have a generation system with...the unitary power will have to...and natural gas. Evidently...

2013-01-01T23:59:59.000Z

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.


361

Addressing an Uncertain Future Using Scenario Analysis  

E-Print Network (OSTI)

a scenario may be an oil price hike in a future year, whichon the impact of high oil prices on the global economy (seethe scenario of a high oil price (of US$35/barrel, which is

Siddiqui, Afzal S.; Marnay, Chris

2008-01-01T23:59:59.000Z

362

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

E-Print Network (OSTI)

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

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

363

Electricity Monthly Update  

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

Energy, electric power prices from SNL Energy, electric system demand data from Ventyx Energy Velocity Suite, and weather data and imagery from the National Oceanic and...

364

Electricity Monthly Update  

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

marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity...

365

California's electricity crisis  

E-Print Network (OSTI)

The collapse of California's electricity restructuring and competition program has attracted attention around the world. Prices in California's competitive wholesale electricity market increased by 500% between the second ...

Joskow, Paul L.

2001-01-01T23:59:59.000Z

366

Microsoft Word - Price Probabilities Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 April 2010 Short-Term Energy Outlook Supplement: Probabilities of Possible Future Prices 1 EIA introduced a monthly analysis of energy price volatility and forecast uncertainty in the October 2009 Short-Term Energy Outlook (STEO). Included in the analysis were charts 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. The March 2010 STEO added another set of charts listing the probability of the future realized price exceeding or falling below given price levels (see Figures 1A and 1B for West Texas Intermediate crude oil price probabilities). These charts are also available as spreadsheets allowing users to input their own prices to

367

Rhode Island Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 10.62 10.07 6.70 10.05 8.22 4.11 1984-2012 Residential Price 16.66 16.89 17.06 16.48 15.33 14.29 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 14.91 15.53 15.14 14.46 13.33 12.31 1967-2012 Percentage of Total Commercial Deliveries included in Prices 66.5 66.2 68.0 61.2 56.9 55.4 1990-2012 Industrial Price 12.58 13.26 12.58 12.13 10.98 9.78 1997-2012 Percentage of Total Industrial Deliveries included in Prices 11.6 11.7 9.2 6.5 6.0 6.3 1997-2012 Vehicle Fuel Price 10.96 12.62 10.72 11.71 8.61 16.32 1990-2012 Electric Power Price

368

South Carolina Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 9.10 10.27 6.70 6.17 5.67 4.57 1984-2012 Residential Price 17.15 16.84 14.91 13.01 12.93 13.25 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 13.54 14.26 11.16 10.34 9.68 8.67 1967-2012 Percentage of Total Commercial Deliveries included in Prices 94.9 94.9 93.5 92.7 91.1 90.6 1990-2012 Industrial Price 8.84 11.03 6.06 6.12 5.60 4.30 1997-2012 Percentage of Total Industrial Deliveries included in Prices 47.3 47.3 47.6 46.3 45.4 45.1 1997-2012 Vehicle Fuel Price 10.84 13.30 12.50 11.16 8.85 9.77 1994-2012 Electric Power Price

369

North Carolina Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

2007 2008 2009 2010 2011 2012 View 2007 2008 2009 2010 2011 2012 View History Pipeline and Distribution Use Price 1967-2005 Citygate Price 8.55 10.32 6.44 6.02 5.45 4.00 1984-2012 Residential Price 15.70 16.58 14.25 12.50 12.55 12.19 1967-2012 Percentage of Total Residential Deliveries included in Prices 100.0 100.0 100.0 100.0 100.0 100.0 1989-2012 Commercial Price 12.77 14.19 11.63 10.18 9.64 8.62 1967-2012 Percentage of Total Commercial Deliveries included in Prices 83.0 84.5 85.2 84.8 84.4 83.5 1990-2012 Industrial Price 9.98 12.10 8.66 8.24 7.70 6.37 1997-2012 Percentage of Total Industrial Deliveries included in Prices 21.2 19.1 13.6 11.6 9.7 8.8 1997-2012 Vehicle Fuel Price 10.64 12.79 11.21 9.77 12.13 6.48 1990-2012 Electric Power Price

370

An Assessment of the Economics of Future Electric Power Generation Options and the Implications for Fusion - Revision 1  

SciTech Connect

This study examines the potential range of electric power costs for some major alternatives to fusion electric power generation when it is ultimately deployed in the middle of the 21st century and, thus, offers a perspective on the cost levels that fusion must achieve to be competitive. The alternative technologies include coal burning, coal gasification, natural gas, nucle& fission, and renewable energy. The cost of electricity (COE) from the alternatives to fusion should be in a 30-53 mills/kWh (1999 dollars) range if carbon sequestration is not needed, 30-61 mills/kWh if sequestration is required, or as high as 83 mills/kWh for the worst-case scenario for cost uncertainty. The reference COE range for fusion was estimated at 65-102 mills/kWh for l- to 1.3-GW(e) scale power plants. Fusion costs will have tqbe, reduced and/or alternative concepts devised before fusion will be competitive with the alternatives for the future production of electricity. Fortunately, there are routes to achieve this goal.

Delene, J.G.; Sheffield, J.; Williams, K.A.; Reid, R.L.; Hadley, S.

2000-02-01T23:59:59.000Z

371

Nuclear power can reduce emissions and maintain a strong economy: Rating Australias optimal future electricity-generation mix by technologies and policies  

Science Journals Connector (OSTI)

Abstract Legal barriers currently prohibit nuclear power for electricity generation in Australia. For this reason, published future electricity scenarios aimed at policy makers for this country have not seriously considered a full mix of energy options. Here we addressed this deficiency by comparing the life-cycle sustainability of published scenarios using multi-criteria decision-making analysis, and modeling the optimized future electricity mix using a genetic algorithm. The published CSIRO e-future scenario under its default condition (excluding nuclear) has the largest aggregate negative environmental and economic outcomes (score=4.51 out of 8), followed by the Australian Energy Market Operators 100% renewable energy scenario (4.16) and the Greenpeace scenario (3.97). The e-future projection with maximum nuclear-power penetration allowed yields the lowest negative impacts (1.46). After modeling possible future electricity mixes including or excluding nuclear power, the weighted criteria recommended an optimized scenario mix where nuclear power generated >40% of total electricity. The life-cycle greenhouse-gas emissions of the optimization scenarios including nuclear power were nuclear power is an effective and logical option for the environmental and economic sustainability of a future electricity network in Australia.

Sanghyun Hong; Corey J.A. Bradshaw; Barry W. Brook

2014-01-01T23:59:59.000Z

372

The future of GPS-based electric power system measurements, operation and control  

SciTech Connect

Much of modern society is powered by inexpensive and reliable electricity delivered by a complex and elaborate electric power network. Electrical utilities are currently using the Global Positioning System-NAVSTAR (GPS) timekeeping to improve the network`s reliability. Currently, GPS synchronizes the clocks on dynamic recorders and aids in post-mortem analysis of network disturbances. Two major projects have demonstrated the use of GPS-synchronized power system measurements. In 1992, the Electric Power Research Institute`s (EPRI) sponsored Phase Measurements Project used a commercially available Phasor Measurements Unit (PMU) to collect GPS-synchronized measurements for analyzing power system problems. In 1995, Bonneville Power Administration (BPA) and Western Area Power Administration (WAPA) under DOE`s and EPRI`s sponsorship launched the Wide Area Measurements (WAMS) project. WAMS demonstrated GPS-synchronized measurements over a large area of their power networks and demonstrated the networking of GPS-based measurement systems in BPA and WAPA. The phasor measurement technology has also been used to conduct dynamic power system tests. During these tests, a large dynamic resistor was inserted to simulate a small power system disturbance.

Rizy, D.T. [Oak Ridge National Lab., TN (United States); Wilson, R.E. [Western Area Power Administration, Golden, CO (United States); Martin, K.E.; Litzenberger, W.H. [Bonneville Power Administration, Portland, OR (United States); Hauer, J.F. [Pacific Northwest National Lab., Richland, WA (United States); Overholt, P.N. [Dept. of Energy, Washington, DC (United States); Sobajic, D.J. [Electric Power Research Inst., Palo Alto, CA (United States)

1998-11-01T23:59:59.000Z

373

Innovative Utility Pricing for Industry  

E-Print Network (OSTI)

INNOVATIVE UTILITY PRICING FOR INDUSTRY James A. Ross Drazen-Brubaker &Associates, Inc. St. Louis, Missouri ABSTRACT The electric utility industry represents only one source of power available to industry. Al though the monopolistic... structure of the electric utility industry may convey a perception that an electric utility is unaffected by competition, this is an erroneous perception with regard to in dustry. Electric utilities face increased compe tition, both from other utilities...

Ross, J. A.

374

Incorporating the Effect of Price Changes on CO2-Equivalent Emissions From Alternative-Fuel Lifecycles: Scoping the Issues  

E-Print Network (OSTI)

economy as a function of fuel prices, technology prices, andshould be a function of fuel prices, electricity demand, andturn are a function of fuel price, system costs, and other

Delucchi, Mark

2005-01-01T23:59:59.000Z

375

INCORPORATING THE EFFECT OF PRICE CHANGES ON CO2- EQUIVALENT EMSSIONS FROM ALTERNATIVE-FUEL LIFECYCLES: SCOPING THE ISSUES  

E-Print Network (OSTI)

economy as a function of fuel prices, technology prices, andshould be a function of fuel prices, electricity demand, andturn are a function of fuel price, system costs, and other

Delucchi, Mark

2005-01-01T23:59:59.000Z

376

Buying Hedge with Futures  

E-Print Network (OSTI)

Agricultural Economist, Kansas State University Agricultural Experiment Station and Cooperative Extension Service. Many bulk purchasers of agricultural com- modities need price risk management tools to help stabilize input prices. Livestock feeders... anticipating future feed needs or grain export- ers making commitments to sell grain are two users of agricultural commodities who could benefit from input price management strate- gies. A common tool is a buying, or long, hedge using futures. Producers...

Welch, Mark; Kastens, Terry L.

2009-01-07T23:59:59.000Z

377

Electric Capacity | OpenEI  

Open Energy Info (EERE)

Capacity Capacity Dataset Summary Description The New Zealand Ministry of Economic Development publishes an annual Energy Outlook, which presents projections of New Zealand's future energy supply, demand, prices and greenhouse gas emissions. The principle aim of these projections is to inform the national energy debate. Included here are the model results for electricity and generation capacity. The spreadsheet provides an interactive tool for selecting which model results to view, and which scenarios to evaluate; full model results for each scenario are also included. Source New Zealand Ministry of Economic Development Date Released Unknown Date Updated December 15th, 2010 (3 years ago) Keywords Electric Capacity Electricity Generation New Zealand projections

378

Published assessments bearing on the future use of ceramic superconductors by the electric power sector  

SciTech Connect

Much has been written about ceramic superconductors since their discovery in 1986. Most of this writing reports and describes scientific research. However, some authors have sought to put this research in context: to assess where the field stands, what might be technically feasible, what might be economically feasible, and what potential impacts ceramic superconductors will bring to the electric power sector. This report`s purpose is to make the results of already published assessments readily available. To that end, this report lists and provides abstracts for various technical and economic assessments related to applications of High-Temperature Superconductors (HTS) to the electric power sector. Those studies deemed most important are identified and summarized. These assessments were identified by two means. First, members of the Executive Committee identified some reports as worthy of consideration and forwarded them to Argonne National Laboratory. Twelve assessments were selected. Each of these is listed and summarized in the following section. Second, a bibliographic search was performed on five databases: INSPEC, NTIS, COMPENDEX, Energy Science & Technology, and Electric Power Database. The search consisted of first selecting all papers related to High Temperature Superconductors. Then papers related to SMES, cables, generators, motors, fault current limiters, or electric utilities were selected. When suitable variants of the above terms were included, this resulted in a selection of 493 citations. These citations were subjected to review by the authors. A number of citations were determined to be inappropriate (e.g. a number referred to digital transmission lines for electronics and communications applications). The reduced list consisted of 200 entries. Each of these citations, with an abstract, is presented in the following sections.

Giese, R.F.; Wolsky, A.M.

1992-08-25T23:59:59.000Z

379

Published assessments bearing on the future use of ceramic superconductors by the electric power sector  

SciTech Connect

Much has been written about ceramic superconductors since their discovery in 1986. Most of this writing reports and describes scientific research. However, some authors have sought to put this research in context: to assess where the field stands, what might be technically feasible, what might be economically feasible, and what potential impacts ceramic superconductors will bring to the electric power sector. This report's purpose is to make the results of already published assessments readily available. To that end, this report lists and provides abstracts for various technical and economic assessments related to applications of High-Temperature Superconductors (HTS) to the electric power sector. Those studies deemed most important are identified and summarized. These assessments were identified by two means. First, members of the Executive Committee identified some reports as worthy of consideration and forwarded them to Argonne National Laboratory. Twelve assessments were selected. Each of these is listed and summarized in the following section. Second, a bibliographic search was performed on five databases: INSPEC, NTIS, COMPENDEX, Energy Science Technology, and Electric Power Database. The search consisted of first selecting all papers related to High Temperature Superconductors. Then papers related to SMES, cables, generators, motors, fault current limiters, or electric utilities were selected. When suitable variants of the above terms were included, this resulted in a selection of 493 citations. These citations were subjected to review by the authors. A number of citations were determined to be inappropriate (e.g. a number referred to digital transmission lines for electronics and communications applications). The reduced list consisted of 200 entries. Each of these citations, with an abstract, is presented in the following sections.

Giese, R.F.; Wolsky, A.M.

1992-08-25T23:59:59.000Z

380

Imperfect price-reversibility of US gasoline demand: Asymmetric responses to price increases and declines  

SciTech Connect

This paper describes a framework for analyzing the imperfect price-reversibility (hysteresis) of oil demand. The oil demand reductions following the oil price increases of the 1970s will not be completely reversed by the price cuts of the 1980s, nor is it necessarily true that these partial demand reversals themselves will be reversed exactly by future price increases. The author decomposes price into three monotonic series: price increases to maximum historic levels, price cuts, and price recoveries (increases below historic highs). He would expect that the response to price cuts would be no greater than to price recoveries, which in turn would be no greater than for increases in maximum historic price. For evidence of imperfect price-reversibility, he tests econometrically the following US data: vehicle miles per driver, the fuel efficiency of the automobile fleet, and gasoline demand per driver. In each case, the econometric results allow him to reject the hypothesis of perfect price-reversibility. The data show smaller response to price cuts than to price increases. This has dramatic implications for projections of gasoline and oil demand, especially under low-price assumptions. 26 refs., 13 figs., 3 tabs.

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

1992-01-01T23:59:59.000Z

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

Health and environmental impacts of China's current and future electricity supply, with associated external costs  

Science Journals Connector (OSTI)

This paper summarises the results of the assessment of health and environmental impacts, and the corresponding external costs within the China Energy Technology Program (CETP). China faces an enormous challenge, as it needs to meet the growing demand for energy in general and electricity in particular. Coal is, and will most probably remain for a long time, the dominant energy carrier in China, and its continued use causes enormous damage to public health and the environment. Such damage backfires on the rate of economic growth. As demonstrated in the present work, the total (internal plus external) costs of environment-friendly electricity supply strategies are significantly lower than those of the seemingly cheaper, but ''dirty'' and nonsustainable, strategies based on traditional coal technologies. As demonstrated by the detailed analyses carried out for the Shandong province, cost-efficient reduction of health and environmental damages, and of the corresponding external costs, can be achieved by implementation of scrubbers and other ''clean-coal'' technologies, together with fuel diversification and promotion of efficiency.

Stefan Hirschberg; Thomas Heck; Urs Gantner; Yongqi Lu; Joseph V. Spadaro; Alfred Trukenmuller; Yihong Zhao

2004-01-01T23:59:59.000Z

382

Definition: Dynamic Pricing Program | Open Energy Information  

Open Energy Info (EERE)

Pricing Program Pricing Program Jump to: navigation, search Dictionary.png Dynamic Pricing Program Dynamic pricing refers to the family of rates that offer customers time-varying electricity prices on a day-ahead or real-time basis.[1] Related Terms electricity generation References ↑ https://www.smartgrid.gov/category/technology/dynamic_pricing_program [[C LikeLike UnlikeLike You like this.Sign Up to see what your friends like. ategory: Smart Grid Definitionssmart grid,smart grid, |Template:BASEPAGENAME]]smart grid,smart grid, Retrieved from "http://en.openei.org/w/index.php?title=Definition:Dynamic_Pricing_Program&oldid=502620" Category: Definitions What links here Related changes Special pages Printable version Permanent link Browse properties 429 Throttled (bot load)

383

On-board prediction of future speed profile for energy management of hybrid electric vehicles  

Science Journals Connector (OSTI)

Vehicular communications could be exploited for energy management of vehicles. We propose a system which provides that a vehicle estimates its future speed profile gathering status messages broadcasted by the surrounding vehicles and/or the infrastructure and inputting them in a traffic simulator used as a predictor. The system has been validated by simulation considering an urban scenario inspired to the Ecotekne campus at the University of Salento and a Manhattan scenario, very challenging in relation to the prediction of the speed profile. Simulation results have shown that the prediction error is quite low for the first scenario. In the Manhattan scenario, the error is quite high in case each vehicle limits itself to send messages only to its neighbours and does not transmit the information regarding its route. However, the error can be significantly reduced if route information is broadcasted and the infrastructure relays the messages transmitted by vehicles. The proposed system has been tested in the Ecotekne campus.

Giovanni Ciccarese; Teresa Donateo; Cosimo Palazzo

2012-01-01T23:59:59.000Z

384

2012 CERTS R&M Peer Review - Summary: Mapping Energy Futures - Bill Schulze  

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

Mapping Energy Futures: The SuperOPF Planning Tool Mapping Energy Futures: The SuperOPF Planning Tool Project Lead: Bill Schulze Co-investigators: Dick Schuler, Ray Zimmerman, Dan Shawhan 1. Project objective: Given that the electric power system is central to the US energy future, the project objective is to develop an open source planning tool that can demonstrate the impact of various policies and regulations on electricity prices, emissions, fuel use, renewable energy use, etc. This tool currently optimizes investment in generation and uses a model of the US electricity network that includes all high voltage lines. 2. Major technical accomplishments that have been completed this year: The model has been successfully run for both the Eastern Interconnection and ERCOT to examine the impact of high and low future natural gas prices and with and without

385

Natural Gas Electric Power Price  

Gasoline and Diesel Fuel Update (EIA)

7.31 9.26 4.93 5.27 4.89 3.54 1997-2012 7.31 9.26 4.93 5.27 4.89 3.54 1997-2012 Alabama 7.19 10.03 4.30 4.85 W 3.09 1997-2012 Alaska 3.58 W W W 5.04 4.32 1997-2012 Arizona 6.84 8.60 4.16 4.84 W 3.51 1997-2012 Arkansas 7.04 9.23 4.14 5.11 W 3.19 1997-2012 California 6.72 8.23 4.44 4.99 4.71 3.68 1997-2012 Colorado 4.35 7.02 4.27 5.16 4.98 W 1997-2012 Connecticut 7.81 10.48 4.89 5.70 5.09 3.99 1997-2012 Delaware W W W W W -- 1997-2012 District of Columbia -- -- -- -- 4.96 -- 2001-2012 Florida 9.35 10.41 7.90 6.54 5.86 4.80 1997-2012 Georgia 7.54 10.40 4.70 5.21 4.72 3.40 1997-2012 Hawaii -- -- -- -- -- -- 2001-2012 Idaho W W W W W W 2001-2012 Illinois 7.26 10.10 4.69 5.14 W W 1997-2012 Indiana 7.48 9.61 4.69 4.91 W W 1997-2012

386

Natural Gas Electric Power Price  

Gasoline and Diesel Fuel Update (EIA)

4.79 4.56 4.34 4.03 4.19 4.26 2002-2013 4.79 4.56 4.34 4.03 4.19 4.26 2002-2013 Alabama 4.60 4.36 4.05 3.80 W W 2002-2013 Alaska 4.60 4.78 4.82 4.86 5.11 4.78 2002-2013 Arizona 4.83 4.73 4.38 4.22 4.45 4.49 2002-2013 Arkansas W W W W W 4.18 2002-2013 California W 4.55 4.45 4.26 4.41 4.43 2002-2013 Colorado W 4.80 4.56 4.51 4.58 W 2002-2013 Connecticut 4.74 4.49 5.09 3.92 4.11 3.99 2002-2013 Delaware -- -- -- -- -- -- 2002-2013 District of Columbia -- -- -- -- -- -- 2002-2013 Florida W 5.24 W 4.71 W W 2002-2013 Georgia 4.91 4.60 W 4.10 3.85 4.37 2002-2013 Hawaii -- -- -- -- -- -- 2002-2013 Idaho W W W W W W 2002-2013 Illinois W W 4.65 W W W 2002-2013 Indiana 4.31 W 3.99 W W W 2002-2013 Iowa 4.82 4.44 4.12 3.99 4.38 6.01 2002-2013

387

Natural Gas Electric Power Price  

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

Monthly Annual Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2007 2008 2009 2010 2011 2012 View History U.S. 7.31 9.26 4.93 5.27 4.89 3.54 1997-2012 Alabama 7.19 10.03 4.30 4.85 W 3.09 1997-2012 Alaska 3.58 W W W 5.04 4.32 1997-2012 Arizona 6.84 8.60 4.16 4.84 W 3.51 1997-2012 Arkansas 7.04 9.23 4.14 5.11 W 3.19 1997-2012 California 6.72 8.23 4.44 4.99 4.71 3.68 1997-2012 Colorado 4.35 7.02 4.27 5.16 4.98 W 1997-2012 Connecticut 7.81 10.48 4.89 5.70 5.09 3.99 1997-2012 Delaware W W W W W -- 1997-2012 District of Columbia -- -- -- -- 4.96 -- 2001-2012 Florida 9.35 10.41 7.90 6.54 5.86 4.80 1997-2012

388

Electricity Prices for Households - EIA  

Gasoline and Diesel Fuel Update (EIA)

Households for Selected Countries1 Households for Selected Countries1 (U.S. Dollars per Kilowatthour) Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA 0.023 NA NA Australia 0.091 0.092 0.094 0.098 NA NA NA NA NA Austria 0.144 0.154 0.152 0.163 0.158 0.158 0.178 0.201 NA Barbados NA NA NA NA NA NA NA NA NA Belgium NA NA NA NA NA NA NA NA NA Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA 0.145 0.171 NA Canada 0.067 0.069 0.070 0.071 0.076 0.078 NA NA NA Chile NA NA NA NA NA NA 0.140 0.195 NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 0.075 0.071 0.074 0.076 0.079 0.079 0.080 0.086 NA Colombia NA NA NA NA NA NA 0.111 0.135 NA

389

Electricity Prices for Industry - EIA  

Gasoline and Diesel Fuel Update (EIA)

0.070 NA 0.081 0.097 NA France 0.035 0.037 0.045 0.050 0.050 0.051 0.056 0.060 NA Germany 0.044 0.049 0.065 0.077 0.084 0.094 0.109 NA NA Greece 0.043 0.046 0.056 0.063 0.067...

390

Natural Gas Electric Power Price  

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

Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area 2008 2009 2010 2011 2012...

391

The Role of Nuclear Power in Reducing Risk of the Fossil Fuel Prices and Diversity of Electricity Generation in Tunisia: A Portfolio Approach  

Science Journals Connector (OSTI)

Given the global energy trend to substitute fossil fuel, the nuclear power has known an important ... degrees of uncertainties related to nuclear and fossil fuel. The higher uncertainty of fossil fuel prices make...

Mohamed Ben Abdelhamid; Chaker Aloui; Corinne Chaton

2010-04-01T23:59:59.000Z

392

Materials use in electricity generators in wind turbines state-of-the-art and future specifications  

Science Journals Connector (OSTI)

Abstract The European Strategic Energy Technology Plan, adopted by the European Union in 2008, is a first step to establish an energy technology policy for Europe and to support the 2020 energy and climate change targets from the technology development point of view. One of its initiatives is to assess the characteristics of the materials that will be needed in order to achieve the 2020 targets, in terms both of amounts of materials and their technical specifications, along with the way to get there for the latter. The Materials Initiative was created to foster a roadmap which is based on a scientific assessment of the current situation. This paper presents the work of the author in the (wind turbine) electricity generator part of that assessment, it includes the aspects of technology and system state-of-the-art; material supply status; on-going research and players; materials specification targets for 2020/2030 and beyond. The assessment found that the performance of permanent magnets is the single item potentially to provide the most significant improvement in component specification, but that in order to achieve this perhaps new chemical components based on rare earths, as currently, or not-will be necessary in order to achieve these high-performance magnets. The search for these new materials is stimulated by the current dependency of the world in a nearly-monopolistic supplier of rare earth elements. The assessment also concluded that the improvement of materials specifications is challenging but achievable in most areas, and a crucial aspect for the necessary cost reductions in wind energy production.

Roberto Lacal-Arntegui

2015-01-01T23:59:59.000Z

393

Electricity Monthly Update  

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

marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. Retail rates and prices are not collected by EIA. EIA...

394

Power System Modeling of 20percent Wind-Generated Electricity by 2030  

E-Print Network (OSTI)

fuel price forecast Coal prices follow AEO 2007 referencecoal- and natural gas-based electricity generation analyzed here include decreased natural gas prices,

Hand, Maureen

2008-01-01T23:59:59.000Z

395

Prices & Trends  

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

The U.S. Energy Information Administration (EIA) collects, analyzes, and disseminates independent and impartial energy information to promote sound policymaking, efficient markets, and public understanding of energy and its interaction with the economy and the environment. Learn about EIA and Energy Department organizations that track energy prices and trends.

396

How regulators should use natural gas price forecasts  

SciTech Connect

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

Costello, Ken

2010-08-15T23:59:59.000Z

397

Understanding Crude Oil Prices  

E-Print Network (OSTI)

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

398

Understanding Crude Oil Prices  

E-Print Network (OSTI)

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

399

An analysis of hybrid-electric vehicles as the car of the future ; Analysis of HEV vehicles as the car of the future .  

E-Print Network (OSTI)

??This thesis will examine the validity of the benefits of the Hybrid-Electric Vehicle (HEV). With the recent focus on energy initiatives, reflected through Bush's state (more)

Kang, Heejay

2007-01-01T23:59:59.000Z

400

Options for Kentucky's Energy Future  

SciTech Connect

Three important imperatives are being pursued by the Commonwealth of Kentucky: ? Developing a viable economic future for the highly trained and experienced workforce and for the Paducah area that today supports, and is supported by, the operations of the US Department of Energys (DOEs) Paducah Gaseous Diffusion Plant (PGDP). Currently, the PGDP is scheduled to be taken out of service in May, 2013. ? Restructuring the economic future for Kentuckys most abundant indigenous resource and an important industry the extraction and utilization of coal. The future of coal is being challenged by evolving and increasing requirements for its extraction and use, primarily from the perspective of environmental restrictions. Further, it is important that the economic value derived from this important resource for the Commonwealth, its people and its economy is commensurate with the risks involved. Over 70% of the extracted coal is exported from the Commonwealth and hence not used to directly expand the Commonwealths economy beyond the severance taxes on coal production. ? Ensuring a viable energy future for Kentucky to guarantee a continued reliable and affordable source of energy for its industries and people. Today, over 90% of Kentuckys electricity is generated by burning coal with a delivered electric power price that is among the lowest in the United States. Anticipated increased environmental requirements necessitate looking at alternative forms of energy production, and in particular electricity generation.

Larry Demick

2012-11-01T23:59:59.000Z

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.


401

Coordinating Regulation and Demand Response in Electric Power Grids: Direct and Price-Based Tracking Using Multirate Economic Model Predictive Control  

Science Journals Connector (OSTI)

?Based on Coordinating regulation and demand response in electric power grids using multirate model...

Haitham Hindi; Daniel Greene

2012-01-01T23:59:59.000Z

402

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

November 2010 November 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 November 9, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged almost $82 per barrel in October, about $7 per barrel higher than the September average, as expectations of higher oil demand pushed up prices. EIA has raised the average fourth quarter 2010 WTI spot price forecast to about $83 per barrel compared with $79 per barrel in last monthʹs Outlook. WTI spot prices rise to $87 per barrel by the fourth quarter of next year. Projected WTI prices average $79 per barrel in 2010 and $85 per barrel in 2011. WTI futures for January 2011 delivery (for the 5-day period ending November 4)

403

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

May 2010 May 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 May 11, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $84 per barrel in April 2010, about $3 per barrel above the prior month's average and $2 per barrel higher than forecast in last month's Outlook. EIA projects WTI prices will average about $84 per barrel over the second half of this year and rise to $87 by the end of next year, an increase of about $2 per barrel from the previous Outlook (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown. Prices for near-term futures options contracts suggest that the market attaches

404

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 July 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 July 7, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged $75.34 per barrel in June 2010 ($1.60 per barrel above the prior month's average), close to the $76 per barrel projected in the forecast in last month's Outlook. EIA projects WTI prices will average about $79 per barrel over the second half of this year and rise to $84 by the end of next year (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown (Energy Price Volatility and Forecast Uncertainty). WTI futures for September 2010 delivery for the

405

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

0 0 1 June 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 June 8, 2010 Release Crude Oil Prices. WTI crude oil spot prices averaged less than $74 per barrel in May 2010, almost $11 per barrel below the prior month's average and $7 per barrel lower than forecast in last month's Outlook. EIA projects WTI prices will average about $79 per barrel over the second half of this year and rise to $84 by the end of next year, a decrease of about $3 per barrel from the previous Outlook (West Texas Intermediate Crude Oil Price Chart). Energy price forecasts are highly uncertain, as history has shown. Prices for near-term futures options contracts suggest that the market attaches

406

Percentage of Total Natural Gas Commercial Deliveries included in Prices  

Gasoline and Diesel Fuel Update (EIA)

City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Electric Power Price Period: Monthly Annual City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. 63.3 59.3 57.9 57.0 57.4 61.3 1983-2013 Alabama 71.7 71.0 68.5 68.2 68.4 66.7 1989-2013 Alaska 94.1 91.6 91.1 91.0 92.3 92.6 1989-2013 Arizona 84.0 83.0 81.6 80.3 82.8 82.7 1989-2013 Arkansas 37.8 28.3 28.1 28.6 26.7 28.0 1989-2013

407

Percentage of Total Natural Gas Industrial Deliveries included in Prices  

Gasoline and Diesel Fuel Update (EIA)

City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Electric Power Price Period: Monthly Annual City Gate Price Residential Price Percentage of Total Residential Deliveries included in Prices Commercial Price Percentage of Total Commercial Deliveries included in Prices Industrial Price Percentage of Total Industrial Deliveries included in Prices Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes Show Data By: Data Series Area May-13 Jun-13 Jul-13 Aug-13 Sep-13 Oct-13 View History U.S. 16.5 16.3 16.0 16.2 16.6 16.9 2001-2013 Alabama 22.1 21.7 21.6 22.8 22.0 22.7 2001-2013 Alaska 100.0 100.0 100.0 100.0 100.0 100.0 2001-2013 Arizona 13.4 15.7 15.3 13.8 13.7 13.9 2001-2013 Arkansas 1.7 1.4 1.2 1.4 1.3 1.5 2001-2013

408

Utility Goals for the Efficiency Resource: Impact of PUC Rulemaking Project No. 39674 on Future Programs  

E-Print Network (OSTI)

Utility Goals for the Efficiency Resource: Impact of PUC Rulemaking Project No. 39674 on Future Programs Amy Martin CATEE Conference October 10, 2012 Overview ? Frontier Associates ? EUMMOT ? Utility Program Overview and Results to Date... Pricing & Resource Planning ? Energy Efficiency & Renewable Energy Programs ? Market Research ? Regulatory Assistance ? Database Solutions ? EUMMOT Administrator Who is EUMMOT? Electric Utility Marketing Managers of Texas (EUMMOT...

Martin, A.

2012-01-01T23:59:59.000Z

409

State energy price and expenditure report 1993  

SciTech Connect

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

NONE

1995-12-01T23:59:59.000Z

410

Electricity Reliability  

E-Print Network (OSTI)

Electricity Delivery and Energy Reliability High Temperature Superconductivity (HTS) Visualization in the future because they have virtually no resistance to electric current, offering the possibility of new electric power equipment with more energy efficiency and higher capacity than today's systems

411

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

SciTech Connect

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

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

2004-12-21T23:59:59.000Z

412

Green Power Network: Green Pricing  

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

Table of Utility Programs by State Table of Utility Programs by State List of Utilities Offering Green Power Top Ten Utility Green Power Programs Green Power Marketing Green Certificates Carbon Offsets State Policies Green Pricing Green pricing is an optional utility service that allows customers an opportunity to support a greater level of utility company investment in renewable energy technologies. Participating customers pay a premium on their electric bills to cover the incremental cost of the additional renewable energy. To date, more than 860 utilities, including investor-owned, municipal utilities, and cooperatives, offer a green pricing option. Table of Utility Programs by State List of Utilities Offering Green Power Top Ten Utility Green Power Programs National Green Pricing Map

413

Milk Futures, Options and Basis  

E-Print Network (OSTI)

The milk futures and options market enables producers and processors to manage price risk. This publication explains hedging, margin accounts, basis and how to track it, and other fundamentals of the futures and options market....

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

2001-10-12T23:59:59.000Z

414

Are oil prices going to remain volatile?  

Science Journals Connector (OSTI)

For numerous planning problems in industrial but also in private management the expectation of future energy prices remains a crucial parameter. On the basis ... a comprehensive demand/supply model for the world

Dr. F. Wirl

1985-04-01T23:59:59.000Z

415

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

E-Print Network (OSTI)

Automobile Prices, Gasoline Prices, and Consumer Demand for Fuel Economy Ashley Langer University evidence that automobile manufacturers set vehicle prices as if consumers respond to gasoline prices. We consumer preferences for fuel efficiency. Keywords: automobile prices, gasoline prices, environmental

Sadoulet, Elisabeth

416

Table E6. Transportation Sector Energy Price Estimates, 2012  

Annual Energy Outlook 2012 (EIA)

E6. Transportation Sector Energy Price Estimates, 2012 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation...

417

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

and coordinated by the Demand Response Research Center onThe Role of Demand Response in Default Service Pricing Galenfor providing much-needed demand response in electricity

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

418

Page 1 of 1 Price list for the NORTEM facilities  

E-Print Network (OSTI)

Page 1 of 1 Price list for the NORTEM facilities 1. April 2013 ­ 31. March 2014 The following prices apply to all activities from April 1st 2013, and should be used as a basis for applications for future funding. The price list is preliminary, changes should be expected when the full NORTEM running

Johansen, Tom Henning

419

ELECTRIC  

Office of Legacy Management (LM)

you nay give us will be greatly uppreckted. VPry truly your23, 9. IX. Sin0j3, Mtinager lclectronics and Nuclear Physics Dept. omh , WESTINGHOUSE-THE NAT KING IN ELECTRICITY...

420

Planning for future uncertainties in electric power generation : an analysis of transitional strategies for reduction of carbon and sulfur emissions  

E-Print Network (OSTI)

The object of this paper is to identify strategies for the U.S. electric utility industry for reduction of both acid rain producing and global warming gases. The research used the EPRI Electric Generation Expansion Analysis ...

Tabors, Richard D.

1991-01-01T23:59:59.000Z

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.


421

PRICE GOUGING | Department of Energy  

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

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

422

Vehicle Technologies Office: Fact #766: February 11, 2013 Electricity  

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

6: February 11, 6: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices to someone by E-mail Share Vehicle Technologies Office: Fact #766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices on Facebook Tweet about Vehicle Technologies Office: Fact #766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices on Twitter Bookmark Vehicle Technologies Office: Fact #766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices on Google Bookmark Vehicle Technologies Office: Fact #766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices on Delicious Rank Vehicle Technologies Office: Fact #766: February 11, 2013 Electricity Prices are More Stable than Gasoline Prices on Digg Find More places to share Vehicle Technologies Office: Fact #766:

423

State Energy Price System: 1982 update  

SciTech Connect

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

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

1984-10-01T23:59:59.000Z

424

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

October 2010 October 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 October 13, 2010 Release Crude Oil Prices. WTI oil prices averaged $75 per barrel in September but rose above $80 at the end of the month and into early October. EIA has raised the average fourth- quarter 2010 forecasted WTI spot price to $79 per barrel compared with $77 per barrel in last monthʹs Outlook. WTI spot prices are projected to rise to $85 per barrel by the fourth quarter of next year. As has been the case for most of 2010, WTI futures traded with a notable lack of volatility during the third quarter of 2010 (Figure 1). However, prices did bounce in

425

Microsoft Word - Price Uncertainty Supplement.doc  

Gasoline and Diesel Fuel Update (EIA)

December 2010 Short-Term Energy Outlook Energy Price Volatility and Forecast Uncertainty 1 December 7, 2010 Release Crude Oil Prices. West Texas Intermediate (WTI) crude oil spot prices averaged over $84 per barrel in November, more than $2 per barrel higher than the October average. EIA has raised the average winter 2010-2011 period WTI spot price forecast by $1 per barrel from the last monthʹs Outlook to $84 per barrel. WTI spot prices rise to $89 per barrel by the end of next year, $2 per barrel higher than in the last Outlook. Projected WTI prices average $79 per barrel in 2010 and $86 per barrel in 2011. WTI futures for February 2011 delivery during the 5-day period ending December 2

426

Reactive Power Support Services in Electricity Markets  

E-Print Network (OSTI)

Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Final Project Report Power Systems Engineering Research Center A National Science Foundation Industry Reactive Power Support Services in Electricity Markets Costing and Pricing of Ancillary Services Project

427

Understanding Crude Oil Prices  

E-Print Network (OSTI)

2004. OPECs Optimal Crude Oil Price, Energy Policy 32(2),023 Understanding Crude Oil Prices James D. Hamilton Junedirectly. Understanding Crude Oil Prices* James D. Hamilton

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

428

Steadying of oil prices  

Science Journals Connector (OSTI)

Oil prices have fallen below the 30 dollar mark ... in the lower half of OPECs target price band. Will OPEC manage to maintain high prices and revenues by restricting production?

Klaus Matthies

429

Diesel prices flat  

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

Diesel prices flat The U.S. average retail price for on-highway diesel fuel saw no movement from last week. Prices remained flat at 3.89 a gallon on Monday, based on the weekly...

430

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 4.05 a gallon on Monday. That's down 4.1 cents from a week ago, based on the weekly price...

431

Diesel prices increase  

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

Diesel prices increase The U.S. average retail price for on-highway diesel fuel rose to 3.90 a gallon on Monday. That's up 3 cents from a week ago, based on the weekly price...

432

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.88 a gallon on Monday. That's down a penny from a week ago, based on the weekly price...

433

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.82 a gallon on Monday. That's down 2.1 cents from a week ago, based on the weekly price...

434

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.87 a gallon on Monday. That's down 1.6 cents from a week ago, based on the weekly price...

435

Diesel prices decrease  

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

Diesel prices decrease The U.S. average retail price for on-highway diesel fuel fell to 3.85 a gallon on Monday. That's down 2 cents from a week ago, based on the weekly price...

436

Retail Price Changes Lag Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: While EIA cannot claim to explain all of the factors that drive retail gasoline prices, we have had a fair amount of success in exploring the relationship between wholesale and retail prices. In particular, we have looked closely at the "pass-through" of changes in spot prices to the retail market. This graph shows a weighted national average of spot prices for regular gasoline -both conventional and reformulated (shown in red), and EIA's weekly survey price for retail regular (again both conventional and reformulated). As you can see, spot prices tend to be more volatile (and would be even more so on a daily basis), while these changes are smoother by the time they reach the retail pump. Furthermore, by looking at the peaks, you can see the retail prices seem to lag the spot price changes

437

PriceTechNotes2012.vp  

Gasoline and Diesel Fuel Update (EIA)

Data: Data: Prices and Expenditures 119 E L E C T R I C I T Y power retailers reporting sales to a state. Revenue and sales data are from the EIA Electric Power Annual data files. The prices for the residential and industrial sectors are based on residen- tial revenues and sales, and industrial revenues and sales, respectively. Commercial sector prices are calculated as the commercial sector reve- nues plus the non-transportation portion of "Other" revenues divided by the commercial sales plus the non-transportation portion of "Other" sales. The non-transportation portions of "Other" sales and revenues are esti- mated using SEDS transportation electricity consumption and the Electric Sales and Revenue "Other" sales. The transportation sector prices are cal- culated by dividing the "Other" category revenues by "Other"

438

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

Data Data 2011: Prices and Expenditures 119 E L E C T R I C I T Y power retailers reporting sales to a state. Revenue and sales data are from the EIA Electric Power Annual data files. The prices for the residential and industrial sectors are based on residen- tial revenues and sales, and industrial revenues and sales, respectively. Commercial sector prices are calculated as the commercial sector reve- nues plus the non-transportation portion of "Other" revenues divided by the commercial sales plus the non-transportation portion of "Other" sales. The non-transportation portions of "Other" sales and revenues are esti- mated using SEDS transportation electricity consumption and the Electric Sales and Revenue "Other" sales. The transportation sector prices are cal- culated by dividing the "Other" category revenues by "Other"

439

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-11-10T23:59:59.000Z

440

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weakly current price listings in the Oil, Paint and Drug Reporter, with permission of the publisher under its copyright. ...

1941-01-10T23:59:59.000Z

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

Chemical Market Prices  

Science Journals Connector (OSTI)

Chemical Market Prices ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter with permission of the publisher under its copyright. ...

1945-01-10T23:59:59.000Z

442

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter, with permission of the publisher under its copyright. ...

1941-10-10T23:59:59.000Z

443

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-02-10T23:59:59.000Z

444

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

CHEMICAL MARKET PRICES ... Compiled from weekly current price listings in the Oil, Paint and Drug Reporter , with permission of the publisher under its copyright. ...

1941-03-10T23:59:59.000Z

445

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

THE WEEK'S PRICE CHANGES ... Socony Vacuum Oil Co. effected a second reduction in its prices for No. 2 fuel oil and ... ...

1950-02-27T23:59:59.000Z

446

Electricity Monthly Update - Energy Information Administration  

Annual Energy Outlook 2012 (EIA)

Electricity Glossary FAQS Overview Data Electricty Data Browser (interactive query tool with charting & mapping) Summary Sales (consumption), revenue, prices & customers...

447

Monthly/Annual Energy Review - electricity section  

Reports and Publications (EIA)

Monthly and latest annual statistics on electricity generation, capacity, end-use, fuel use and stocks, and retail price.

2015-01-01T23:59:59.000Z

448

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Use: February 2014 Retail RatesPrices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based...

449

Pricing Energy in a Multi-Utility Market  

Science Journals Connector (OSTI)

We present a solution to the problem of tariff design for an energy supplier (utility). The tariffs for electricity ... prices for trading electricity on a day-ahead market like the European Energy Exchange (EEX)...

Markus Franke; Andreas Kamper; Anke Eer

2007-01-01T23:59:59.000Z

450

The future role of renewable energy sources in European electricity supply : A model-based analysis for the EU-15.  

E-Print Network (OSTI)

??Ambitious targets for the use of renewable electricity (RES-E) have been formulated by the EU Commission and the EU Member States. Taking into account technical, (more)

Rosen, Johannes

2008-01-01T23:59:59.000Z

451

The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future  

E-Print Network (OSTI)

the growing automobile, gasoline scooter, and electric bikelost automobile research bid for developing electricelectric or gasoline powered) create several disadvantages to automobiles

Weinert, Jonathan X.

2007-01-01T23:59:59.000Z

452

Securing America's Future Energy April 8, 2011 | Department of...  

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

America's Future Energy an e-mail with attachments of a New York Times article on oil prices. Securing America's Future Energy April 8, 2011 More Documents & Publications...

453

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

E-Print Network (OSTI)

stylized facts concerning electricity prices: high volatility, mean-reversion, seasonality, and frequent extreme jumps in prices (Huisman and Mahieu, 2003). See Bunn (2004) for more studies concerning modeling electricity prices. De Vany and Walls (1999... or five trading days) convergence with respect to external shocks. Jerko, Mjelde, and Bessler (2004) using directed graphs to examine the contemporaneous causal flows 9 among spot markets suggested electricity price information flows...

Park, Haesun

2005-11-01T23:59:59.000Z

454

ELECTRIC  

Office of Legacy Management (LM)

ELECTRIC ELECTRIC cdrtrokArJclaeT 3 I+ &i, y$ \I &OF I*- j< t j,fci..- ir )(yiT !E-li, ( \-,v? Cl -p/4.4 RESEARCH LABORATORIES EAST PITTSBURGH, PA. 8ay 22, 1947 Mr. J. Carrel Vrilson General ?!!mager Atomic Qxzgy Commission 1901 Constitution Avenue Kashington, D. C. Dear Sir: In the course of OUT nuclenr research we are planning to study the enc:ri;y threshold anti cross section for fission. For thib program we require a s<>piAroted sample of metallic Uranium 258 of high purity. A quantity of at lezst 5 grams would probably be sufficient for our purpose, and this was included in our 3@icntion for license to the Atonic Energy Coskqission.. This license has been approved, 2nd rre would Llp!Jreciate informztion as to how to ?r*oceed to obtain thit: m2teria.l.

455

Analysis of Strategies of Companies under Carbon Constraint: Relationship between Profit Structure of Companies and Carbon/Fuel Price Uncertainty  

E-Print Network (OSTI)

This paper examines the relationship between future carbon prices and the expected profit of companies by case studies with model companies. As the future carbon price will vary significantly in accordance with the political ...

Hashimoto, Susumu

456

CANNED FISH RETAIL PRICES  

E-Print Network (OSTI)

CANNED FISH RETAIL PRICES NOVEMBER 1958 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE retail prices for selected canned fish items. The retail prices as contained herein for several types, 500 or over, and prices were obtained by personal visits of agents to the retail stores

457

CANNED FISH RETAIL .PRICES,  

E-Print Network (OSTI)

CANNED FISH RETAIL .PRICES, OC1rOIBrE~ UNITED STATES DEPARTMENT OF THE INT...n.~""n FISH retail prices for selected canned fish items. The retail prices as contained herein for several types, 500 or over, and prices were obtained by personal visits of agents to the retail stores

458

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page inTenTionally lefT blank 91 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2012 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2012, DOE/EIA-M068(2012). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

459

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

This page intentionally left blank This page intentionally left blank 95 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2011 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2011, DOE/EIA-M068(2011). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

460

Electricity Market Module  

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

Market Module Market Module This page inTenTionally lefT blank 101 U.S. Energy Information Administration | Assumptions to the Annual Energy Outlook 2013 Electricity Market Module The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules-electricity capacity planning, electricity fuel dispatching, electricity load and demand, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2013, DOE/EIA-M068(2013). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most

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

The house of the future  

ScienceCinema (OSTI)

Learn what it will take to create tomorrow's net-zero energy home as scientists reveal the secrets of cool roofs, smart windows, and computer-driven energy control systems. The net-zero energy home: Scientists are working to make tomorrow's homes more than just energy efficient -- they want them to be zero energy. Iain Walker, a scientist in the Lab's Energy Performance of Buildings Group, will discuss what it takes to develop net-zero energy houses that generate as much energy as they use through highly aggressive energy efficiency and on-site renewable energy generation. Talking back to the grid: Imagine programming your house to use less energy if the electricity grid is full or price are high. Mary Ann Piette, deputy director of Berkeley Lab's building technology department and director of the Lab's Demand Response Research Center, will discuss how new technologies are enabling buildings to listen to the grid and automatically change their thermostat settings or lighting loads, among other demands, in response to fluctuating electricity prices. The networked (and energy efficient) house: In the future, your home's lights, climate control devices, computers, windows, and appliances could be controlled via a sophisticated digital network. If it's plugged in, it'll be connected. Bruce Nordman, an energy scientist in Berkeley Lab's Energy End-Use Forecasting group, will discuss how he and other scientists are working to ensure these networks help homeowners save energy.

None

2010-09-01T23:59:59.000Z

462

The Rise of Electric Two-wheelers in China: Factors for their Success and Implications for the Future  

E-Print Network (OSTI)

based on interviews with Li-ion battery companies. The pacePerformance and Safety by Li-ion Battery for Pedelec. Lighth. Outlook of Future Li-ion Battery Chemistries for Safety

Weinert, Jonathan X.

2007-01-01T23:59:59.000Z

463

Electric Vehicles  

ScienceCinema (OSTI)

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-07-23T23:59:59.000Z

464

Electric Vehicles  

SciTech Connect

Burak Ozpineci sees a future where electric vehicles charge while we drive them down the road, thanks in part to research under way at ORNL.

Ozpineci, Burak

2014-05-02T23:59:59.000Z

465

Electricity demand-side management for an energy efficient future in China : technology options and policy priorities  

E-Print Network (OSTI)

The main objective of this research is to identify robust technology and policy options which achieve substantial reductions in electricity demand in China's Shandong Province. This research utilizes a scenario-based ...

Cheng, Chia-Chin

2005-01-01T23:59:59.000Z

466

Solar Pricing Trends  

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

SB 2 1X SB 2 1X Category % of Retail Sales From Eligible Renewable Resources Date by Which Compliance Must Occur Category or Compliance Period 1 20% Dec. 31, 2013 Category or Compliance Period 2 25% Dec. 31, 2016 Category or Compliance Period 3 33% Dec. 31, 2020 2 Solar Pricing Trends 3 U.S. Grid-Connected PV Capacity Additions 4 U.S. Renewable Additions wind, 7537 MW biogas, 91 MW biomass, 330 MW geothermal, 910 MW ocean, 0 MW small hydro, 38 MW solar thermal, 3804 MW solar photovoltaic, 5778 MW CA IOU's Total Renewable Energy Capacity Currently Under Contract from Contracts Signed Since 2002, by Technology 5 CA IOU's Renewable Portfolio 6 CA IOU's Future Renewable Portfolio

467

Are there really bubbles in oil prices?  

Science Journals Connector (OSTI)

Abstract The aim of this paper is to identify bubbles in oil prices by using the exponential fitting methodology proposed by Watanabe etal. (2007) [28,29]. We use the daily US dollar closing crude oil prices of West Texas Intermediate (WTI) covering the 1986:01:022013:07:09 and the Brent for the 1987:05:202013:07:09 periods. The distinguishing feature of this study from the previous studies is that this is the first study in the literature showing the existence of bubbles in crude oil prices. We found that there are four distinct periods of persistent bubbles in the crude oil prices since 1986. Two of these persistent bubbles are before 2000 and two of them are after 2000. We conclude that further research is needed to understand better how futures markets may impact the oil price formation.

Mehmet Balcilar; Zeynel Abidin Ozdemir; Hakan Yetkiner

2014-01-01T23:59:59.000Z

468

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

Natural Natural gas prices are developed for the residential, commercial, indus- trial, transportation, and electric power sectors. Reported natural gas prices are retail prices for sales of natural gas to ultimate users. Natural gas prices are intended to include all federal, state, and local taxes, surcharges, and adjustments billed to consumers. Although the EIA data collection form states that taxes are to be included in the re- ported gross revenues, it is most likely that respondents would not con- sider sales taxes as part of their companies' gross revenues, and some may not be reporting them. As a result, consumer sales taxes may not be cov- ered in full. For more information see End-Use Taxes: Current EIA Prac- tices, page 23, http://www.eia.gov/FTPROOT/financial/ 0583.pdf. Estimates of the amount of natural gas consumed by the residential, com- mercial, industrial, and electric

469

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

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

Marginal Residential Energy Prices in the Analysis of Proposed Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Title Estimating Marginal Residential Energy Prices in the Analysis of Proposed Appliance Energy Efficiency Standards Publication Type Report LBNL Report Number LBNL-44230 Year of Publication 2000 Authors Chaitkin, Stuart, James E. McMahon, Camilla Dunham Whitehead, Robert D. Van Buskirk, and James D. Lutz Document Number LBNL-44230 Date Published March 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Use of marginal energy prices, instead of average energy prices, represents a theoretically valuable and challenging refinement to the usual life-cycle cost analysis conducted for proposed appliance energy efficiency standards. LBNL developed a method to estimate marginal residential energy prices using a regression analysis based on a nationally representative sample of actual consumer energy bills. Based on the 1997 Residential Energy Consumption Survey (RECS), national mean marginal electricity prices were estimated to be 2.5% less than average electricity prices in the summer and 10.0% less than average prices in the non-summer months. For natural gas, marginal prices were 4.4% less than average prices in the winter and 15.3% less than average prices in the non-winter months.

470

MTBE Prices Responded to Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: On top of the usual factors impacting gasoline prices, natural gas has had some influence recently. MTBE is an oxygenate used in most of the RFG consumed in the U.S. Generally, it follows gasoline prices and its own supply/demand balance factors. But this winter, we saw it respond strongly to natural gas prices. MTBE is made from methanol and isobutylene, which in turn come from methane and butane. Both methane and butane come from natural gas streams. Until this year, the price of natural gas has been so low that it had little effect. But the surge that occurred in December and January pulled MTBE up . Keep in mind that about 11% MTBE is used in a gallon of RFG, so a 30 cent increase in MTBE is only about a 3 cent increase in the price of RFG. While we look ahead at this summer, natural gas prices should be

471

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

1) 1) June 2013 State Energy Price and Expenditure Estimates 1970 Through 2011 2011 Price and Expenditure Summary Tables Table E1. Primary Energy, Electricity, and Total Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Electric Power Sector g,h Retail Electricity Total Energy g,i Coal Natural Gas a Petroleum Nuclear Fuel Biomass Total g,h,i Distillate Fuel Oil Jet Fuel b LPG c Motor Gasoline d Residual Fuel Oil Other e Total Wood and Waste f Alabama 3.09 5.66 26.37 22.77 25.54 27.12 13.18 19.42 25.90 0.61 3.01 8.75 2.56 27.08 19.85 Alaska 3.64 6.70 29.33 23.12 29.76 31.60 20.07 34.62 26.61 - 14.42 20.85 6.36 47.13 25.17 Arizona 1.99 7.07 27.73 22.84 31.95 26.97 17.00 17.23 26.71 0.75 6.31 10.79 2.16 28.46 25.23 Arkansas 1.93 6.94 26.37 22.45 26.66 27.35 17.35 33.22

472

Role of nuclear fusion in future energy systems and the environment under future uncertainties  

Science Journals Connector (OSTI)

Debates about whether or not to invest heavily in nuclear fusion as a future innovative energy option have been made within the context of energy technology development strategies. This is because the prospects for nuclear fusion are quite uncertain and the investments therefore carry the risk of quite large regrets, even though investment is needed in order to develop the technology. The timeframe by which nuclear fusion could become competitive in the energy market has not been adequately studied, nor has roles of the nuclear fusion in energy systems and the environment. The present study has two objectives. One is to reveal the conditions under which nuclear fusion could be introduced economically (hereafter, we refer to such introductory conditions as breakeven prices) in future energy systems. The other objective is to evaluate the future roles of nuclear fusion in energy systems and in the environment. Here we identify three roles that nuclear fusion will take on when breakeven prices are achieved: (i) a portion of the electricity market in 2100, (ii) reduction of annual global total energy systems cost, and (iii) mitigation of carbon tax (shadow price of carbon) under CO2 constraints. Future uncertainties are key issues in evaluating nuclear fusion. Here we treated the following uncertainties: energy demand scenarios, introduction timeframe for nuclear fusion, capacity projections of nuclear fusion, CO2 target in 2100, capacity utilization ratio of options in energy/environment technologies, and utility discount rates. From our investigations, we conclude that the presently designed nuclear fusion reactors may be ready for economical introduction into energy systems beginning around 20502060, and we can confirm that the favorable introduction of the reactors would reduce both the annual energy systems cost and the carbon tax (the shadow price of carbon) under a CO2 concentration constraint.

Koji Tokimatsu; Junichi Fujino; Satoshi Konishi; Yuichi Ogawa; Kenji Yamaji

2003-01-01T23:59:59.000Z

473

Selling Hedge with Futures  

E-Print Network (OSTI)

trades price risk for basis risk. Once more, the basis forecast is a key to hedging with futures. Did Bill receive $5.60 per bushel for his en- tire crop? The answer depends on the quantity produced. If he produced his historical average of 24...,000 bushels, he was protected at $5.60 per bushel for the 15,000 bushels he hedged and received a price at harvest of $5.40 per bushel for the unhedged 9,000 bushels. This yields a weight- ed average price of $5.525 per bushel. Had he produced more than...

Kastens, Terry L.; Welch, Mark

2009-01-07T23:59:59.000Z

474

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Retail gasoline prices, like those for distillate fuels, have hit record prices nationally and in several regions this year. The national average regular gasoline price peaked at $1.68 per gallon in mid-June, but quickly declined, and now stands at $1.45, 17 cents higher than a year ago. Two regions, in particular, experienced sharp gasoline price runups this year. California, which often has some of the highest prices in the nation, saw prices peak near $1.85 in mid-September, while the Midwest had average prices over $1.87 in mid-June. Local prices at some stations in both areas hit levels well over $2.00 per gallon. The reasons for the regional price runups differed significantly. In the Midwest, the introduction of Phase 2 RFG was hampered by low stocks,

475

Virginia Gasoline Price Data  

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

Virginia Virginia Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Alexandria AlexandriaGasPrices.com Automotive.com Mapquest.com Arlington ArlingtonGasPrices.com Automotive.com Mapquest.com Chesapeake ChesapeakeGasPrices.com Automotive.com Mapquest.com Hampton HamptonGasPrices.com Automotive.com Mapquest.com Newport News NewportNewsGasPrices.com Automotive.com Mapquest.com Norfolk NorfolkGasPrices.com Automotive.com Mapquest.com Portsmouth PortsmouthGasPrices.com Automotive.com Mapquest.com Richmond RichmondGasPrices.com Automotive.com Mapquest.com Virginia Beach VirginiaBeachGasPrices.com Automotive.com Mapquest.com

476

Illinois Gasoline Price Data  

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

Illinois Illinois Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Arlington Heights ArlingtonHeightsGasPrices.com Automotive.com MapQuest.com Aurora AuroraGasPrices.com Automotive.com MapQuest.com Bloomington BloomingtonGasPrices.com Automotive.com MapQuest.com Champaign ChampaignGasPrices.com Automotive.com MapQuest.com Chicago ChicagoGasPrices.com Automotive.com MapQuest.com Decatur DecaturGasPrices.com Automotive.com Mapquest.com Elgin ElginGasPrices.com Automotive.com MapQuest.com Joliet JolietGasPrices.com Automotive.com MapQuest.com Naperville NapervilleGasPrices.com Automotive.com MapQuest.com

477

Oklahoma Gasoline Price Data  

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

Oklahoma Oklahoma Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Lawton LawtonGasPrices.com Automotive.com Mapquest.com Norman NormanGasPrices.com Automotive.com Mapquest.com Oklahoma City OklahomaCityGasPrices.com Automotive.com Mapquest.com Tulsa TulsaGasPrices.com Automotive.com Mapquest.com Other Oklahoma Cities OklahomaGasPrices.com (search by city or ZIP code) - GasBuddy.com Oklahoma Gas Prices (selected cities) - GasBuddy.com Oklahoma Gas Prices (organized by county) - Automotive.com Gas Prices of the United States: Oklahoma Cities - MapQuest Oklahoma Gas Prices (organized by county, search by ZIP code) -

478

Tennessee Gasoline Price Data  

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

Tennessee Tennessee Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Chattanooga ChattanoogaGasPrices.com Automotive.com Mapquest.com Clarksville ClarksvilleGasPrices.com Automotive.com Mapquest.com Knoxville KnoxvilleGasPrices.com Automotive.com Mapquest.com Memphis MemphisGasPrices.com Automotive.com Mapquest.com Murfreesboro MurfreesboroGasPrices.com Automotive.com Mapquest.com Nashville NashvilleGasPrices.com Automotive.com Mapquest.com Other Tennessee Cities TennesseeGasPrices.com (search by city or ZIP code) - GasBuddy.com Tennessee Gas Prices (selected cities) - GasBuddy.com Tennessee Gas Prices (organized by county) - Automotive.com

479

Wisconsin Gasoline Price Data  

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

Wisconsin Wisconsin Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Appleton AppletonGasPrices.com Automotive.com Mapquest.com Eau Claire EauClaireGasPrices.com Automotive.com Mapquest.com Green Bay GreenBayGasPrices.com Automotive.com Mapquest.com Kenosha KenoshaGasPrices.com Automotive.com Mapquest.com Madison MadisonGasPrices.com Automotive.com Mapquest.com Milwaukee MilwaukeeGasPrices.com Automotive.com Mapquest.com Other Wisconsin Cities WisconsinGasPrices.com (search by city or ZIP code) - GasBuddy.com Wisconsin Gas Prices (selected cities) - GasBuddy.com Wisconsin Gas Prices (organized by county) - Automotive.com

480

Maryland Gasoline Price Data  

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

Maryland Maryland Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Baltimore BaltimoreGasPrices.com Automotive.com MapQuest.com Bethesda BethesdaGasPrices.com Automotive.com MapQuest.com Bowie BowieGasPrices.com Automotive.com MapQuest.com Frederick FrederickGasPrices.com Automotive.com MapQuest.com Gaithersburg GaithersburgGasPrices.com Automotive.com MapQuest.com Other Maryland Cities MarylandGasPrices.com (search by city or ZIP code) - GasBuddy.com Maryland Gas Prices (selected cities) - GasBuddy.com Maryland Gas Prices (organized by county) - Automotive.com Gas Prices of the United States: Maryland Cities - MapQuest

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.


481

Massachusetts Gasoline Price Data  

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

Massachusetts Massachusetts Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Boston BostonGasPrices.com Automotive.com MapQuest.com Brockton BrocktonGasPrices.com Automotive.com MapQuest.com Cambridge CambridgeGasPrices.com Automotive.com MapQuest.com Fall River FallRiverGasPrices.com Automotive.com MapQuest.com Haverhill HaverhillGasPrices.com Automotive.com MapQuest.com Lawrence LawrenceGasPrices.com Automotive.com MapQuest.com Lowell LowellGasPrices.com Automotive.com MapQuest.com New Bedford NewBedfordGasPrices.com Automotive.com Mapquest.com Taunton TauntonGasPrices.com Automotive.com MapQuest.com

482

Ohio Gasoline Price Data  

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

Ohio Ohio Exit Fueleconomy.gov The links below are to pages that are not part of the fueleconomy.gov. We offer these external links for your convenience in accessing additional information that may be useful or interesting to you. Selected Cities Akron AkronGasPrices.com Automotive.com Mapquest.com Cincinnati CincinnatiGasPrices.com Automotive.com Mapquest.com Cleveland ClevelandGasPrices.com Automotive.com Mapquest.com Columbus ColumbusGasPrices.com Automotive.com Mapquest.com Dayton DaytonGasPrices.com Automotive.com Mapquest.com Toledo ToledoGasPrices.com Automotive.com Mapquest.com Other Ohio Cities OhioGasPrices.com (search by city or ZIP code) - GasBuddy.com Ohio Gas Prices (selected cities) - GasBuddy.com Ohio Gas Prices (organized by county) - Automotive.com

483

Volumetric Hedging in Electricity Procurement Department of Industrial Engineering  

E-Print Network (OSTI)

Volumetric Hedging in Electricity Procurement Yumi Oum Department of Industrial Engineering electricity service at regulated prices in restructured electricity markets, face price and quantity risk. We in the electricity industry has put high price risk on market partici- pants, particularly on load serving entities

Oren, Shmuel S.

484

Option pricing and foreign investment under political risk  

Science Journals Connector (OSTI)

The paper analyses asset prices in a context of uncertainty over future government policy. As current policy is maintained, perceived risk abates thus leading to a gradual appreciation of asset prices and a gradual decrease in their conditional variance. Option values computed under this process have time series and the term structure of conditional volatility, which, in general, are downward sloping. In price series without a policy reversal, implied volatility from option prices will exceed actual volatility, with this wedge progressively disappearing. This may be viewed as the volatility analogue of the peso premium for assets subject to large, infrequent price drops.

Joseph A. Cherian; Enrico Perotti

2001-01-01T23:59:59.000Z

485

State Volume Price Volume Price Volume Price Volume Price Volume Price  

Gasoline and Diesel Fuel Update (EIA)

7 7 2000 2001 2002 2003 2004 State Volume Price Volume Price Volume Price Volume Price Volume Price Pipeline (Canada) Eastport, ID..................... 830,351 3.79 802,182 4.71 759,647 2.83 R 623,652 4.72 707,885 5.30 Calais, ME ...................... 123,521 4.50 152,486 4.47 124,991 3.49 R 115,301 R 5.85 102,292 6.44 Detroit, MI ....................... 6,171 3.82 405 9.34 1,948 3.56 2,514 5.96 1,117 6.27 Marysville, MI.................. 0 -- 0 -- 74 3.95 0 -- 303 7.80 St. Clair, MI..................... 17,198 4.45 21,747 4.54 28,441 3.19 5,202 5.84 22,853 6.50 International Falls, MN .... 3,022 2.77 617 4.85 602 3.01 0 -- 0 -- Noyes, MN...................... 469,361 3.75 448,898 4.19 402,621 3.09 R 359,801 5.04 399,298 5.77 Warroad, MN .................. 4,576 3.95 5,318 4.52

486

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: December 2011 End Use: December 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

487

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: August 2011 End Use: August 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

488

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: November 2011 End Use: November 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

489

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: February 2012 End Use: February 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

490

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2011 End Use: October 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

491

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: March 2012 End Use: March 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of States have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

492

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: September 2011 End Use: September 2011 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by State regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

493

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: October 2013 End Use: October 2013 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by state Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

494

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

End Use: January 2012 End Use: January 2012 Retail Rates/Prices and Consumption In this section, we look at what electricity costs and how much is purchased. Charges for retail electric service are based primarily on rates approved by state regulators. However, a number of states have allowed retail marketers to compete to serve customers and these competitive retail suppliers offer electricity at a market-based price. EIA does not directly collect retail electricity rates or prices. However, using data collected on retail sales revenues and volumes, we calculate average retail revenues per kWh as a proxy for retail rates and prices. Retail sales volumes are presented as a proxy for end-use electricity consumption. Average Revenue per kWh by State Percent Change ¢ Per KWh map showing U.S. electric industry percent change in average revenue

495

Sustainably Priced Energy Enterprise Development (SPEED) Goals | Department  

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

Sustainably Priced Energy Enterprise Development (SPEED) Goals Sustainably Priced Energy Enterprise Development (SPEED) Goals Sustainably Priced Energy Enterprise Development (SPEED) Goals < Back Eligibility Investor-Owned Utility Municipal Utility Rural Electric Cooperative Savings Category Bioenergy Alternative Fuel Vehicles Hydrogen & Fuel Cells Buying & Making Electricity Water Solar Heating & Cooling Water Heating Wind Program Info State Vermont Program Type Renewables Portfolio Standard Provider Vermont Public Service Board Vermont's Sustainably Priced Energy Enterprise Development (SPEED) Program was created by legislation in 2005 to promote renewable energy development. The SPEED program itself is not a renewable portfolio goal or standard. However, if the Vermont Public Service Board (PSB) determines that the

496

Electric Drive Vehicle Infrastructure Deployment  

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

encourages off-peak energy * Smart Grid Integration o Charging stations with Demand Response, Time-of-Use Pricing, and AMI compatible with the modern electric grid * Help...

497

Kerosenes Price Impact on Air Travel Demand: A Cause-and-Effect Chain  

Science Journals Connector (OSTI)

This paper examines the impact of rising fuel prices on future air traffic. Using route and ... specific data the short-term impact of higher fuel prices on airline operating costs, passenger fares and ... advers...

Prof. Dr Richard Klophaus

2009-01-01T23:59:59.000Z

498

Stochastic dynamic optimization of consumption and the induced price elasticity of demand in smart grids .  

E-Print Network (OSTI)

??This thesis presents a mathematical model of consumer behavior in response to stochastically-varying electricity prices, and a characterization of price-elasticity of demand created by optimal (more)

Faghih, Ali

2011-01-01T23:59:59.000Z

499

Stochastic dynamic optimization of consumption and the induced price elasticity of demand in smart grids  

E-Print Network (OSTI)

This thesis presents a mathematical model of consumer behavior in response to stochastically-varying electricity prices, and a characterization of price-elasticity of demand created by optimal utilization of storage and ...

Faghih, Ali

2011-01-01T23:59:59.000Z

500

Natural Gas Spot Prices:  

Gasoline and Diesel Fuel Update (EIA)

4 of 26 4 of 26 Notes: Spot wellhead prices last summer averaged well over $4.00 per thousand cubic feet during a normally low-price season. During the fall, these prices stayed above $5.00 per thousand cubic feet, more than double the year-ago average price. In January, the spot wellhead price averaged a record $8.98 per thousand cubic feet. Spot prices at the wellhead have never been this high for such a prolonged period. The chief reason for these sustained high gas prices was, and still is, uneasiness about the supply situation. Concern about the adequacy of winter supplies loomed throughout most of the summer and fall as storage levels remained significantly depressed. Last December, the most severe assumptions about low storage levels became real, when the spot price