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Note: This page contains sample records for the topic "regional electricity prices" 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

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

2

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

SciTech Connect (OSTI)

To identify the impacts of regional electricity prices and building type on the economics of solar photovoltaic (PV) systems, 207 rate structures across 77 locations and 16 commercial building types were evaluated. Results for expected solar value are reported for each location and building type. Aggregated results are also reported, showing general trends across various impact categories.

Ong, S.; Campbell, C.; Clark, N.

2012-12-01T23:59:59.000Z

3

Rethinking Real Time Electricity Pricing  

E-Print Network [OSTI]

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

Allcott, Hunt

4

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

5

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

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

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

6

Intraclass Price Elasticity & Electric Rate Design  

E-Print Network [OSTI]

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

Gresham, K. E.

7

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

E-Print Network [OSTI]

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

Kolstad, Jonathan; Wolak, Frank

2003-01-01T23:59:59.000Z

8

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES 2005 TO 2018 Mignon Marks Principal Author Mignon Marks Project Manager David Ashuckian Manager ELECTRICITY ANALYSIS OFFICE Sylvia Bender Acting Deputy Director ELECTRICITY SUPPLY DIVISION B.B. Blevins Executive Director

9

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

E-Print Network [OSTI]

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

Laughlin, Robert B.

10

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

E-Print Network [OSTI]

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

11

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

12

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

13

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

14

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

15

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

E-Print Network [OSTI]

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

16

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

17

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.

18

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

19

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

20

Carbon pricing, nuclear power and electricity markets  

SciTech Connect (OSTI)

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

Note: This page contains sample records for the topic "regional electricity prices" 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

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

SciTech Connect (OSTI)

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

Not Available

1994-04-07T23:59:59.000Z

22

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

E-Print Network [OSTI]

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

Catholic University of Chile (Universidad CatĂłlica de Chile)

23

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

24

Competitive Charging Station Pricing for Plug-in Electric Vehicles  

E-Print Network [OSTI]

. To overcome this challenge, we develop a low-complexity algorithm that efficiently computes the pricingCompetitive Charging Station Pricing for Plug-in Electric Vehicles Wei Yuan, Member, IEEE, Jianwei considers the problem of charging station pricing and station selection of plug-in electric vehicles (PEVs

Huang, Jianwei

25

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

Energy Savers [EERE]

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

26

Regions for Select Spot Prices  

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

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

27

Price-elastic demand in deregulated electricity markets  

SciTech Connect (OSTI)

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

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

28

Commitment of Electric Power Generators under Stochastic Market Prices  

E-Print Network [OSTI]

Commitment of Electric Power Generators under Stochastic Market Prices Jorge Valenzuela 1 November 2001 1 Corresponding author. #12;1 Commitment of Electric Power Generators under Stochastic Market Prices Abstract A formulation for the commitment of electric power generators under a deregulated

Mazumdar, Mainak

29

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network [OSTI]

3. Price Variations of Wholesale Electricity Markets for NYC4. Price Variations of Wholesale Electricity Markets for NYCDemand in New York Wholesale Electricity Market using

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

30

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...

31

Optimization Online - Convex Hull Pricing in Electricity Markets ...  

E-Print Network [OSTI]

Mar 19, 2015 ... Convex Hull Pricing in Electricity Markets: Formulation, Analysis, and Implementation Challenges. Dane Schiro (dschiro ***at*** iso-ne.com)

Dane Schiro

2015-03-19T23:59:59.000Z

32

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

E-Print Network [OSTI]

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

33

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

SciTech Connect (OSTI)

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

34

Optimal Scheduling under Variable Electricity Pricing and Availability  

E-Print Network [OSTI]

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

Grossmann, Ignacio E.

35

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

36

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network [OSTI]

The electricity pricing structure in Texas has changed after deregulation (January 2002). The Energy Systems Laboratory has served as a technical consultant on electricity purchases to several universities in the Texas A&M University System since...

Afanador Delgado, Catalina

2006-10-30T23:59:59.000Z

37

Why did British electricity prices fall after 1998?  

E-Print Network [OSTI]

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

Evans, Joanne

2003-01-01T23:59:59.000Z

38

Why did British Electricity Prices Fall after 1998?  

E-Print Network [OSTI]

In an attempt to reduce high electricity prices in England and Wales the government has reduced concentration among generators and introduced New Electricity Trading Arrangements (NETA). Econometric analysis on monthly data from April 1996...

Evans, Joanne; Green, Richard J

2004-06-16T23:59:59.000Z

39

A Threshold Autoregressive Model for Wholesale Electricity Prices  

E-Print Network [OSTI]

A Threshold Autoregressive Model for Wholesale Electricity Prices B. Ricky Rambharat Carnegie of wholesale electricity soared to an unprecedented $7,500 per megawatt-hour (MwH) (see FERC, 1998). Models

40

Properties of Electricity Prices and the Drivers of Interconnector Revenue  

E-Print Network [OSTI]

of generation technology and the relationship between the prices of alternative fuels are other such factors. If coal becomes prohibitively expensive relative to gas and it is possible to satisfy all demand using gas fired generation, above a certain price... threshold, the relationship between the price of electricity and the price of coal would be non- existent. However, if there is no spare capacity in the system, expensive coal would always be the marginal generation technology. In that case, coal...

Parail, Vladimir

Note: This page contains sample records for the topic "regional electricity prices" 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

The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates and Retail Electricity Tariffs in Australia.1  

E-Print Network [OSTI]

1 The Impact of Carbon Pricing on Wholesale Electricity Prices, Carbon Pass-Through Rates that the introduction of a carbon price signal will have on wholesale electricity prices, carbon-pass-through rates is used to determine optimal dispatch of generation plant and wholesale prices within the ANEM model. We

Tesfatsion, Leigh

42

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

SciTech Connect (OSTI)

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

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

1981-03-01T23:59:59.000Z

43

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

E-Print Network [OSTI]

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

Fontana, Michelle

2011-08-08T23:59:59.000Z

44

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

SciTech Connect (OSTI)

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

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

2008-05-01T23:59:59.000Z

45

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

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

,,"(202) 586-8800",,,"3292015 10:05:26 PM" "Back to Contents","Data 1: New Mexico Natural Gas Price Sold to Electric Power Consumers (Dollars per Thousand Cubic...

46

,"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)"...

47

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

E-Print Network [OSTI]

Response to Day-ahead Wholesale Market Electricity Prices:Response to Day-ahead Wholesale Market Electricity Prices:Mitigating Price Spikes in Wholesale Markets through Market-

2004-01-01T23:59:59.000Z

48

Multi-objective Optimization for Pricing System Security in Electricity Markets  

E-Print Network [OSTI]

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

Cañizares, Claudio A.

49

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

50

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

E-Print Network [OSTI]

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

51

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

E-Print Network [OSTI]

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

Huo, Xiaoming

52

A Quantitative Analysis of Pricing Behavior In California's Wholesale Electricity Market During Summer 2000  

E-Print Network [OSTI]

A Quantitative Analysis of Pricing Behavior In California's Wholesale Electricity Market During Summer 2000...

Joskow, Paul; Kahn, Edward

2004-06-16T23:59:59.000Z

53

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.

54

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

E-Print Network [OSTI]

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

55

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

56

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

57

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

E-Print Network [OSTI]

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

58

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

E-Print Network [OSTI]

Biennial Assessment of the Fifth Power Plan Interim Report on Electric Price Forecasts Electricity prices in the Council's Power Plan are forecast using the AURORATM Electricity Market Model of the entire and 2006 actual electric prices have been more volatile than the Aurora forecast. This is expected because

59

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.

60

Price Electric Coop Inc | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy ResourcesLoadingPenobscot County, Maine:Plug Power IncPowderClimate Action4622144° Loading map...Price

Note: This page contains sample records for the topic "regional electricity prices" 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

Electricity pricing for conservation and load shifting  

SciTech Connect (OSTI)

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

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

2010-04-15T23:59:59.000Z

62

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

E-Print Network [OSTI]

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

Bhatia, Sangeeta

63

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

SciTech Connect (OSTI)

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

NONE

1997-08-01T23:59:59.000Z

64

Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets  

E-Print Network [OSTI]

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

Oren, Shmuel S.

65

A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu  

E-Print Network [OSTI]

A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu , Anthony E. Brockwell, and Duane J. Seppi Abstract We introduce a new model for electricity prices, based on the principle in a study of Californian wholesale electricity prices over a three-year period including the crisis period

66

Experimental Evidence about the Persistence of High Prices in a Soft-Cap Auction for Electricity  

E-Print Network [OSTI]

Experimental Evidence about the Persistence of High Prices in a Soft-Cap Auction for Electricity 1 and Management Cornell University I. Introduction The high prices for electricity in California during the summer on an electrical grid. The results of earlier experiments conducted with POWERWEB show that both a uniform price

67

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

68

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

69

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

E-Print Network [OSTI]

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

Howison, Sam

70

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

E-Print Network [OSTI]

PWP-051 Market Design and Price Behavior in Restructured Electricity Markets: An International of market- clearing prices. Using evidence on the design of electricity markets in England and Wales, Norway rules are important drivers of the behavior of prices in a competitive electricity market. The paper

California at Berkeley. University of

71

Cournot Equilibrium in Price-capped Two-Settlement Electricity Markets  

E-Print Network [OSTI]

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

72

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.

73

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

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

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

74

International Coal Prices for Electricity Generation - EIA  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricity Generation for Selected

75

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

E-Print Network [OSTI]

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

2004-01-01T23:59:59.000Z

76

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

77

Utility-Aware Deferred Load Balancing in the Cloud Driven by Dynamic Pricing of Electricity  

E-Print Network [OSTI]

in energy prices along with the rise of cloud computing brings up the issue of making clouds energy. In this paper, we use deferral with dynamic pricing of electricity for energy efficiency while using utilityUtility-Aware Deferred Load Balancing in the Cloud Driven by Dynamic Pricing of Electricity

Gupta, Rajesh

78

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

E-Print Network [OSTI]

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

Roozbehani, Mardavij

79

Gas production response to price signals: Implications for electric power generators  

SciTech Connect (OSTI)

Natural gas production response to price signals is outlined. The following topics are discussed: Structural changes in the U.S. gas exploration and production industry, industry outlook, industry response to price signals, and implications for electric power generators.

Ferrell, M.L.

1995-12-31T23:59:59.000Z

80

Regional Differences in the Price-Elasticity of Demand for Energy  

SciTech Connect (OSTI)

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

Bernstein, M. A.; Griffin, J.

2006-02-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

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

82

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

83

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

84

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

E-Print Network [OSTI]

An Analysis of Price Volatility in Different Spot Markets for Electricity in the U.S.A. by Tim important feature. Spot prices for electricity have been very volatile with dramatic price spikes occurring insight into the behavior of spot prices for electricity, and in particular, to model the type

85

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

86

Why Do Motor Gasoline Prices Vary Regionally? California Case Study  

Reports and Publications (EIA)

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

1998-01-01T23:59:59.000Z

87

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

E-Print Network [OSTI]

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

Tsitsiklis, John

88

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

E-Print Network [OSTI]

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

89

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

E-Print Network [OSTI]

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

Giannakis, Georgios

90

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

E-Print Network [OSTI]

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

Oren, Shmuel S.

91

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

E-Print Network [OSTI]

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

E. Latőšov; A. Volkova; A. Siirde

92

Multi-product pricing for electric Shmuel S. Oren, Stephen A. Smith and Robert B. Wilson  

E-Print Network [OSTI]

Multi-product pricing for electric power Shmuel S. Oren, Stephen A. Smith and Robert B. Wilson Smith is with the Leavey School of Business, Santa Clara University, Santa Clara, CA 95053. Robert Butterworth & Co (Publishers) Ltd #12;Multi-product pricing for electric power: S. S. Oren, S. A. Smith ctnd R

Oren, Shmuel S.

93

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

94

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

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

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

95

Environmental and Resource Economics Household Energy Demand in Urban China: Accounting for regional prices and rapid  

E-Print Network [OSTI]

Energy Demand in Urban China: Accounting for regional prices and rapid income change Article Type and changing demographics. We estimate income and price elasticities for these energy types using a two effects into account, we find that total energy is price-inelastic for all income groups. For individual

96

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.

97

Residential implementation of critical-peak pricing of electricity  

E-Print Network [OSTI]

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

Herter, Karen

2006-01-01T23:59:59.000Z

98

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

E-Print Network [OSTI]

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

Connolly, Jeremiah P. (Jeremiah Peter)

2008-01-01T23:59:59.000Z

99

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

E-Print Network [OSTI]

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

Boyer, Edmond

100

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, LudwigstraĂ?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

Note: This page contains sample records for the topic "regional electricity prices" 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

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

102

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network [OSTI]

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES RENE CARMONA AND MICHAEL attention to the most idiosyncratic of all: electricity mar- kets. Following a discussion of traded. In doing so, we present a detailed analysis of the structural approach for electricity, arguing for its

Carmona, Rene

103

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

104

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

105

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

E-Print Network [OSTI]

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

Borenstein, Severin

2007-01-01T23:59:59.000Z

106

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

107

Implications of changing natural gas prices in the United States electricity sector for SO and life cycle GHG emissions  

E-Print Network [OSTI]

to the choice of coal over natural gas. External incentives such as low natural gas prices compared to coalImplications of changing natural gas prices in the United States electricity sector for SO 2 , NO X of changing natural gas prices in the United States electricity sector for SO2, NOX and life cycle GHG

Jaramillo, Paulina

109

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

E-Print Network [OSTI]

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

Martin, Alexander; Pokutta, Sebastian

2012-01-01T23:59:59.000Z

110

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network [OSTI]

Inc. Pigg, Scott. 2003. Electricity Use by New Furnaces: Astage furnaces offer national electricity savings, but withABORATORY Furnace Blower Electricity: National and Regional

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

111

Principal UncertaintiesPrincipal Uncertainties Their Representation in the Regional Portfolio ModelTheir Representation in the Regional Portfolio Model  

E-Print Network [OSTI]

Overview Electricity requirements Natural gas prices Wholesale electricity prices Regional Portfolio Model #12;Page 2 3 Electricity RequirementsElectricity Requirements 5th Plan Non-DSI Price Effects Sales Forecasts 12000 14000% 20% 30% 40% 50% 60% 70% 80% 90% 100% #12;Page 5 9 Wholesale Electricity PricesWholesale Electricity

112

Tariff-based analysis of commercial building electricity prices  

E-Print Network [OSTI]

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

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

2008-01-01T23:59:59.000Z

113

The effects of utility DSM programs on electricity costs and prices  

SciTech Connect (OSTI)

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

Hirst, E.

1991-11-01T23:59:59.000Z

114

The effects of utility DSM programs on electricity costs and prices  

SciTech Connect (OSTI)

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

Hirst, E.

1991-11-01T23:59:59.000Z

115

Pricing Carbon for Electricity Generation: National and International Dimensions  

E-Print Network [OSTI]

address instruments for energy efficiency, and for innovation. 2 The social cost of carbon, carbon pricing and power sector mitigation From an economic perspective, the most fundamental single step in climate policy is to establish a price for carbon... . This should be informed by (but is not the same thing as) the social cost of carbon – the present discounted value of the additional social costs (or the marginal social damage) that an extra tonne of carbon released now would impose on the current...

Grubb, Michael; Newbery, David

116

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

117

Understanding Competitive Pricing and Market Power in Wholesale Electricity Markets  

E-Print Network [OSTI]

and Market Power in Wholesale Electricity Markets SeverinM a r k e t Power i n Wholesale Electricity Markets Severinthe competitiveness of the wholesale electricity market i n

Borenstein, Severin

1999-01-01T23:59:59.000Z

118

Electric System Decision Making in Other Regions: A Preliminary...  

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

Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation Electric System Decision Making in Other Regions: A Preliminary...

119

Convex Hull Pricing in Electricity Markets: Formulation, Analysis ...  

E-Print Network [OSTI]

Mar 26, 2015 ... starting with a discussion of basic electricity market processes and ending ... Most participants in wholesale electricity markets desire the “right ...

Dane Schiro

2015-03-26T23:59:59.000Z

120

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...

Note: This page contains sample records for the topic "regional electricity prices" 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

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

E-Print Network [OSTI]

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

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

122

Smart grid-demand side response model to mitigate prices and peak impact on the electrical system.  

E-Print Network [OSTI]

??The aims of this project is to develop demand side response model which assists electricity consumers who are exposed to the market price through aggregator… (more)

Marwan, Marwan

2013-01-01T23:59:59.000Z

123

Proc. Bulk Power Systems Dynamics and Control{V, Onomichi, Japan, August 2001. Pricing System Security in Electricity Markets  

E-Print Network [OSTI]

the pro- posed techniques. Keywords|Electricity markets, locational marginal prices (LMP), security of the presented techniques, a methodology to deter- mine \

Cañizares, Claudio A.

124

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

125

Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed photovoltaic generation in the  

E-Print Network [OSTI]

Retrospective modeling of the merit-order effect on wholesale electricity prices from distributed, the depression in wholesale prices has significant value. c 5 GW of solar generation would have saved $1.8 billion in the market over two years. c The depression of wholesale prices offsets the cost of support

Sandiford, Mike

126

CO{sub 2} Allowance Allocation in the Regional Greenhouse Gas Initiative and the Effect on Electricity Investors  

SciTech Connect (OSTI)

The Regional Greenhouse Gas Initiative among Northeastern states is expected to lead to an increase in the price of electricity in the region and beyond. In the RGGI region, changes in the value of electricity-generating assets may be positive or negative, while changes outside the Northeast are virtually always positive. For stakeholders in the industry, the change depends on the portfolio of assets held by affected firms. (author)

Burtraw, Dallas; Kahn, Danny; Palmer, Karen

2006-03-01T23:59:59.000Z

127

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

128

Simulating Electricity Restructuring in California: Interactions with the Regional Market  

E-Print Network [OSTI]

are quite close to one another. Within the California pool, marginal cost pricing will produce economic Institute, a multicampus research unit of the University of California, located on the Berkeley campus from pooling and transmission pricing policy. As a result of increased regional trade, transmission

California at Berkeley. University of

129

Lake Region Electric Cooperative- Commercial Energy Efficiency Grant Program  

Broader source: Energy.gov [DOE]

Lake Region Electric Cooperative (LREC) offers grants to commercial customers for electric energy efficiency improvements, audits, and engineering and design assistance for new and existing...

130

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

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

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

131

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

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

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

132

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

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

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

133

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

E-Print Network [OSTI]

Price Forecasts 4. Updated load-resource balance by zones\\ regions · Energy · Capacity 5. Impact Higher Coal Prices Medium Long-term Trend Forecasts for PNW Zones 0.00 0.20 0.40 0.60 0.80 1.00 1.20 1 Northwest Power and Conservation Council Comparison of Annual Average Energy Draft 6th Plan vs. Interim

134

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

E-Print Network [OSTI]

PWP-063 ZONAL PRICING AND DEMAND-SIDE BIDDING IN THE NORWEGIAN ELECTRICITY MARKET Tor Arnt Johnsen 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

California at Berkeley. University of

135

Priority Network Access Pricing for Electric Power Shijie Deng and Shmuel Oren  

E-Print Network [OSTI]

PWP-072 Priority Network Access Pricing for Electric Power Shijie Deng and Shmuel Oren February 2000 This paper is part of the working papers series of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy Institute, a multicampus research unit

California at Berkeley. University of

136

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

137

International Natural Gas Prices for Electricity Generation - EIA  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricity Generation forElectricity

138

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect (OSTI)

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

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

2005-08-25T23:59:59.000Z

139

International Natural Gas Prices for Electricity Generation - EIA  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricity Generation

140

International Natural Gas Prices for Electricity Generation - EIA  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997EnvironmentElectricity GenerationIndustry for

Note: This page contains sample records for the topic "regional electricity prices" 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

Dynamic interactions between electricity prices and the regional economy  

E-Print Network [OSTI]

........................................................................................................x CHAPTER I INTRODUCTION................................................................................. 1 1.1 Problem Statement and Justification............................................... 1 1.2 Objectives........................................................................................... 1 1.3 Organization of the Thesis .............................................................. 3 II LITERATURE REVIEW...................................................................... 4 2.1 Economic Activity...

Bethapudi, Daniel Naveen

2005-08-29T23:59:59.000Z

142

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network [OSTI]

Solar Energy Center ABSTRACT Currently, total electricity consumption of furnacesFurnace Blower Electricity: National and Regional Savings Potential Victor Franco, James Lutz, Alex Lekov, and Lixing Gu (Florida Solar

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

143

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

E-Print Network [OSTI]

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

2005-01-01T23:59:59.000Z

144

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network [OSTI]

zonal day-ahead locational based marginal pricing (DA LBMP),provides zonal Locational Based Marginal Pricing (LBMP) inzonal day-ahead locational based marginal pricing (DA LBMP),

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

145

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

E-Print Network [OSTI]

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

Borenstein, Severin

2007-01-01T23:59:59.000Z

146

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

147

Lake Region Electric Cooperative- Residential Energy Efficiency Rebate Program  

Broader source: Energy.gov [DOE]

Lake Region Electric Cooperative (LREC) offers a variety of rebates for residential customers to improve the energy efficiency of homes. Rebates are available for Energy Star refrigerators and...

148

The impact of carbon taxes or allowances on the electric generation market in the Ohio and ECAR region  

SciTech Connect (OSTI)

The North American electricity grid is separated into 11 regional reliability councils, collectively called the North American Electric Reliability Council (NERC). The East Central Area Reliability Coordination Agreement (ECAR) is the reliability council that covers Ohio and Indiana, along with parts of Kentucky, Illinois, Maryland, Michigan, Pennsylvania, Virginia, and West Virginia. Ohio and the rest of the ECAR region rely more heavily on coal-fired generation than any other US region. The purpose of this report is to study the effect of carbon reduction policies on the cost and price of generation in the ECAR region, with an emphasis on Ohio. In order to do that, the author modeled the possible electric generation system for the ECAR and Ohio region for the year 2010 using a model developed at Oak Ridge National Laboratory called the Oak Ridge Competitive Electric Dispatch model (ORCED). He let the model optimize the system based on various factors and carbon reduction policies to understand their impact. He then used the electricity prices and assumed demand elasticities to change the demands while also requiring all power plants to be profitable. The author discusses the different potential policies for carbon reduction and issues involving a restructured market; describes the model used for this analysis, the ECAR electricity sector, and the establishment of a base case; and describes the results of applying various carbon emission reduction approaches to the region. 14 figs., 5 tabs.

Hadley, S.W.

1998-07-01T23:59:59.000Z

149

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

150

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

SciTech Connect (OSTI)

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

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

1995-02-01T23:59:59.000Z

151

State and Regional Comprehensive Carbon Pricing and Greenhouse Gas Regulation in the Power Sector under the EPA's Clean Power Plan  

E-Print Network [OSTI]

1 State and Regional Comprehensive Carbon Pricing and Greenhouse Gas Regulation in the Power Sector goal of comprehensive carbon pricing along with various other policies (LCFS) · Into this setting drops rate" and the role of renewable energy and energy efficiency in the rate targets and in compliance

California at Davis, University of

152

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

E-Print Network [OSTI]

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

Roozbehani, Mardavij

153

BulkPower SystemDynamicsandControlIV-Restructuring, August24-28,Santorini,Greece. Priority Network Access Pricing for Electric Power  

E-Print Network [OSTI]

of the transmission prices is a severe obstacle to e cient bilateral energy trading. see Wu, Varaiya, Spiller and Oren Access Pricing for Electric Power Shijie Deng and Shmuel Oreny Department of Industrial Engineering and Operations Research University of California at Berkeley Berkeley, CA 94720 Abstract We propose a priority-pricing

154

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

SciTech Connect (OSTI)

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

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

2004-07-01T23:59:59.000Z

155

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

E-Print Network [OSTI]

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

Muehlegger, Erich J.

2002-01-01T23:59:59.000Z

156

Fuel Price Forecasts INTRODUCTION  

E-Print Network [OSTI]

Fuel Price Forecasts INTRODUCTION Fuel prices affect electricity planning in two primary ways and water heating, and other end-uses as well. Fuel prices also influence electricity supply and price because oil, coal, and natural gas are potential fuels for electricity generation. Natural gas

157

Lake Region Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia: Energy Resources Jump to:46 - 429Lacey, Washington: EnergyPocotopaug, Connecticut: Energy Resources JumpElectric

158

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 because a schedule without considering variable energy charges might significantly increase

159

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

E-Print Network [OSTI]

grid technologies. This is a particularly interesting problem with the use of dynamic energy pricing method to solve this problem is dynamic energy pricing [2]-[10]. Dynamic changes in energy prices provide the customers' peak-hour demands. So, dynamic energy pricing can benefit both the consumer and the producer

Pedram, Massoud

160

Gasoline price spikes and regional gasoline context regulations : a structural approach  

E-Print Network [OSTI]

Since 1999, gasoline prices in California, Illinois and Wisconsin have spiked occasionally well above gasoline prices in nearby states. In May and June 2000, for example, gasoline prices in Chicago rose twenty eight cents ...

Muehlegger, Erich J.

2004-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

Breakeven Prices for Photovoltaics on Supermarkets in the United States  

SciTech Connect (OSTI)

The photovoltaic (PV) breakeven price is the PV system price at which the cost of PV-generated electricity equals the cost of electricity purchased from the grid. This point is also called 'grid parity' and can be expressed as dollars per watt ($/W) of installed PV system capacity. Achieving the PV breakeven price depends on many factors, including the solar resource, local electricity prices, customer load profile, PV incentives, and financing. In the United States, where these factors vary substantially across regions, breakeven prices vary substantially across regions as well. In this study, we estimate current and future breakeven prices for PV systems installed on supermarkets in the United States. We also evaluate key drivers of current and future commercial PV breakeven prices by region. The results suggest that breakeven prices for PV systems installed on supermarkets vary significantly across the United States. Non-technical factors -- including electricity rates, rate structures, incentives, and the availability of system financing -- drive break-even prices more than technical factors like solar resource or system orientation. In 2020 (where we assume higher electricity prices and lower PV incentives), under base-case assumptions, we estimate that about 17% of supermarkets will be in utility territories where breakeven conditions exist at a PV system price of $3/W; this increases to 79% at $1.25/W (the DOE SunShot Initiative's commercial PV price target for 2020). These percentages increase to 26% and 91%, respectively, when rate structures favorable to PV are used.

Ong, S.; Clark, N.; Denholm, P.; Margolis, R.

2013-03-01T23:59:59.000Z

162

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

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

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

163

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

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

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

164

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

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

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

165

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

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

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

166

The marginal costs and pricing of gas system upgrades to accommodate new electric generators  

SciTech Connect (OSTI)

In the coming years, competitive forces and restructuring in the electric industry can be expected to increase substantially the demand for gas delivery service to new electric generating units by local distribution companies (LDCs) and pipeline companies across the United States. In meeting this demand, it is important that the prices paid by electric generators for gas delivery service properly reflect the costs of the resources utilized in providing service to them in order that their decisions regarding what to build and where as well as the manner in which their units are dispatched are as efficient as possible from a societal standpoint. This will assure that society`s resources will be neither squandered nor underutilized in providing service to these generators and aid in assuring that, once built, the units are run in an efficient manner. While the most efficient solution to this problem is a secondary market in tradeable pipeline capacity rights, we do not have such a system in place at this time. Further, tradeable rights for LDC capacity may be difficult to establish. An interim solution that will work in the confines of the present system and not create problems for the transition to tradeable rights is required. This purpose of this paper is to set out the important first principals involved in applying marginal costing to the provision of gas delivery service to new electric generating units rather than to present empirical data on the marginal costs of such service. Experience has shown that marginal costs are usually unique to the particular situation being costed.

Ambrose, B.

1995-12-31T23:59:59.000Z

167

Estimating electric current densities in solar active regions  

E-Print Network [OSTI]

Electric currents in solar active regions are thought to provide the energy released via magnetic reconnection in solar flares. Vertical electric current densities $J_z$ at the photosphere may be estimated from vector magnetogram data, subject to substantial uncertainties. The values provide boundary conditions for nonlinear force- free modelling of active region magnetic fields. A method is presented for estimating values of $J_z$ taking into account uncertainties in vector magnetogram field values, and minimizing $J_z^2$ across the active region. The method is demonstrated using the boundary values of the field for a force-free twisted bipole, with the addition of noise at randomly chosen locations.

Wheatland, M S

2015-01-01T23:59:59.000Z

168

How and why customers respond to electricity price variability: A study of NYISO and NYSERDA 2002 PRL program performance  

SciTech Connect (OSTI)

This summer was the second year of operation for the New York Independent System Operator's (NYISO) suite of Price Responsive Load (PRL) Programs: the Day-Ahead Demand Response Program (DADRP), the Emergency Demand Response Program (EDRP), and the third year of operation for the Installed Capacity Program/Special Case Resources (ICAP/SCR) program. It also marked the second year that the New York State Energy Research Authority (NYSERDA) provided funding to support participation in these programs. NYISO and NYSERDA commissioned Neenan Associates to conduct a comprehensive evaluation of the performance of these PRL programs, building on methods and protocols developed last year and augmented by significant professional staff resources provided by the Consortium for Electric Reliability Technology Solutions (CERTS) with the U. S. Dept. of Energy (DOE) funding. The PRL program evaluation was undertaken from three perspectives. The first, top-down, perspective looks at the overall impact of PRL programs on New York electricity market prices and system reliability. Quantifying price impacts involves simulating what prices would have been had the curtailments not been undertaken. A supply model developed last year was used to reconstruct this year's market supply curve and estimate the change in hourly prices due to PRL-indiced curtailments. Reliability impacts were estimated by valuing the improvement in the reliability associated with curtailments undertaken through the EDRP and ICAP/SCR programs, which were jointly administered during 2002.

Neenan, Bernie; Pratt, Donna; Cappers, Peter; Doane, James; Anderson, Jeremey; Boisvert, Richard; Goldman, Charles; Sezgen, Osman; Barbose, Galen; Bharvirkar, Ranjit

2003-01-01T23:59:59.000Z

169

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

SciTech Connect (OSTI)

Changes in the electricity consumption of commercial buildings and industrial facilities (C&I facilities) during Demand Response (DR) events are usually estimated using counterfactual baseline models. Model error makes it difficult to precisely quantify these changes in consumption and understand if C&I facilities exhibit event-to-event variability in their response to DR signals. This paper seeks to understand baseline model error and DR variability in C&I facilities facing dynamic electricity prices. Using a regression-based baseline model, we present a method to compute the error associated with estimates of several DR parameters. We also develop a metric to determine how much observed DR variability results from baseline model error rather than real variability in response. We analyze 38 C&I facilities participating in an automated DR program and find that DR parameter errors are large. Though some facilities exhibit real DR variability, most observed variability results from baseline model error. Therefore, facilities with variable DR parameters may actually respond consistently from event to event. Consequently, in DR programs in which repeatability is valued, individual buildings may be performing better than previously thought. In some cases, however, aggregations of C&I facilities exhibit real DR variability, which could create challenges for power system operation.

Mathieu, Johanna L.; Callaway, Duncan S.; Kiliccote, Sila

2011-08-16T23:59:59.000Z

170

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network [OSTI]

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

Ito, Koichiro

2011-01-01T23:59:59.000Z

171

Pollution and the price of power  

SciTech Connect (OSTI)

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

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

2008-07-01T23:59:59.000Z

172

Minimizing the Electricity Bill of Cooperative Users under a Quasi-Dynamic Pricing Model  

E-Print Network [OSTI]

- Systems {shatami,pedram}@usc.edu Abstract--Dynamic energy pricing is a promising development use at different times during a fixed interval based on dynamic energy prices during that interval-interruptible or interruptible jobs. The methods relay on a quasi-dynamic pricing function for unit of energy consumed, which

Pedram, Massoud

173

Trends in Regional Electricity Demands 1995-2012  

E-Print Network [OSTI]

to Department of Energy in EIA form 861. Council staff takes annual reported retail sales by each utility. Street lighting sales are not metered but rather estimated . 10 #12;Losses are Defined as Energy LoadsTrends in Regional Electricity Demands 1995-2012 January 29, 2014 #12;In Today's Conversation

174

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

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

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

175

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

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

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

176

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

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

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

177

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

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

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

178

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

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

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

179

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

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

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

180

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

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

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

Note: This page contains sample records for the topic "regional electricity prices" 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

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

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

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

182

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

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

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

183

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

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

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

184

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3LNG Storage NetPrice

185

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPriceDry Natural GasCrude Oil +Price Sold to

186

adjusted loan pricing: Topics by E-print Network  

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

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

187

Furnace Blower Electricity: National and Regional Savings Potential  

SciTech Connect (OSTI)

Currently, total electricity consumption of furnaces is unregulated, tested at laboratory conditions using the DOE test procedure, and is reported in the GAMA directory as varying from 76 kWh/year to 1,953 kWh/year. Furnace blowers account for about 80percent of the total furnace electricity consumption and are primarily used to distribute warm air throughout the home during furnace operation as well as distribute cold air during air conditioning operation. Yet the furnace test procedure does not provide a means to calculate the electricity consumption during cooling operation or standby, which account for a large fraction of the total electricity consumption. Furthermore, blower electricity consumption is strongly affected by static pressure. Field data shows that static pressure in the house distribution ducts varies widely and that the static pressure used in the test procedure as well as the calculated fan power is not representative of actual field installations. Therefore, accurate determination of the blower electricity consumption is important to address electricity consumption of furnaces and air conditioners. This paper compares the potential regional and national energy savings of two-stage brushless permanent magnet (BPM) blower motors (the blower design option with the most potential savings that is currently available in the market) to single-stage permanent split capacitor (PSC) blower motors (the most common blower design option). Computer models were used to generate the heating and cooling loads for typical homes in 16 different climates which represent houses throughout the United States. The results show that the potential savings of using BPM motors vary by region and house characteristics, and are very strongly tied to improving house distribution ducts. Savings decrease dramatically with increased duct pressure. Cold climate locations will see savings even in the high static pressure duct situations, while warm climate locations will see less savings overall and negative savings in the high static pressure duct situations. Moderate climate locations will see little or no savings.

Florida Solar Energy Center; Franco, Victor; Franco, Victor; Lutz, Jim; Lekov, Alex; Gu, Lixing

2008-05-16T23:59:59.000Z

188

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

189

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network [OSTI]

Currently, total electricity consumption of furnaces isthe total furnace electricity consumption and are primarilyto calculate the electricity consumption during cooling

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

190

Potential Impacts of Plug-in Hybrid Electric Vehicles on Regional Power Generation  

SciTech Connect (OSTI)

Plug-in hybrid electric vehicles (PHEVs) are being developed around the world, with much work aiming to optimize engine and battery for efficient operation, both during discharge and when grid electricity is available for recharging. However, the general expectation has been that the grid will not be greatly affected by the use of PHEVs because the recharging will occur during off-peak hours, or the number of vehicles will grow slowly enough so that capacity planning will respond adequately. This expectation does not consider that drivers will control the timing of recharging, and their inclination will be to plug in when convenient, rather than when utilities would prefer. It is important to understand the ramifications of adding load from PHEVs onto the grid. Depending on when and where the vehicles are plugged in, they could cause local or regional constraints on the grid. They could require the addition of new electric capacity and increase the utilization of existing capacity. Usage patterns of local distribution grids will change, and some lines or substations may become overloaded sooner than expected. Furthermore, the type of generation used to meet the demand for recharging PHEVs will depend on the region of the country and the timing of recharging. This paper analyzes the potential impacts of PHEVs on electricity demand, supply, generation structure, prices, and associated emission levels in 2020 and 2030 in 13 regions specified by the North American Electric Reliability Corporation (NERC) and the U.S. Department of Energy's (DOE's) Energy Information Administration (EIA), and on which the data and analysis in EIA's Annual Energy Outlook 2007 are based (Figure ES-1). The estimates of power plant supplies and regional hourly electricity demand come from publicly available sources from EIA and the Federal Energy Regulatory Commission. Electricity requirements for PHEVs are based on analysis from the Electric Power Research Institute, with an optimistic projection of 25% market penetration by 2020, involving a mixture of sedans and sport utility vehicles. The calculations were done using the Oak Ridge Competitive Electricity Dispatch (ORCED) model, a model developed over the past 12 years to evaluate a wide variety of critical electricity sector issues. Seven scenarios were run for each region for 2020 and 2030, for a total of 182 scenarios. In addition to a base scenario of no PHEVs, the authors modeled scenarios assuming that vehicles were either plugged in starting at 5:00 p.m. (evening) or at 10:00 p.m.(night) and left until fully charged. Three charging rates were examined: 120V/15A (1.4 kW), 120V/20A (2 kW), and 220V/30A (6 kW). Most regions will need to build additional capacity or utilize demand response to meet the added demand from PHEVs in the evening charging scenarios, especially by 2030 when PHEVs have a larger share of the installed vehicle base and make a larger demand on the system. The added demands of evening charging, especially at high power levels, can impact the overall demand peaks and reduce the reserve margins for a region's system. Night recharging has little potential to influence peak loads, but will still influence the amount and type of generation.

Hadley, Stanton W [ORNL; Tsvetkova, Alexandra A [ORNL

2008-01-01T23:59:59.000Z

191

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

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

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

192

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

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

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

193

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

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

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

194

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

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

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

195

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

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

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

196

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network [OSTI]

Advanced Metering, and Demand Response in Electricity2006. Benefits of Demand Response in Electricity Markets and2010. Open Automated Demand Response Technologies for

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

197

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfur Content,e.7,1.1.

198

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

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

199

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

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

200

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net

Note: This page contains sample records for the topic "regional electricity prices" 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

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net3 and

202

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net3

203

,"Table 1. Net Energy For Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary. Net32005

204

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary.a.

205

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to ElectricSulfurJaunary.a.a.

206

Central Wind Power Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities  

SciTech Connect (OSTI)

The report addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America.

Porter, K.; Rogers, J.

2009-12-01T23:59:59.000Z

207

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

SciTech Connect (OSTI)

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

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

2009-01-01T23:59:59.000Z

208

CO{sub 2} allowance allocation in the Regional Greenhouse Gas Initiative and the effect on electricity investors  

SciTech Connect (OSTI)

The Regional Greenhouse Gas Initiative (RGGI) is an effort by nine Northeast and Mid-Atlantic states to develop a regional, mandatory, market-based cap-and-trade program to reduce greenhouse gas (GHG) emissions from the electricity sector. The initiative is expected to lead to an increase in the price of electricity in the RGGI region and beyond. The implications of these changes for the value of electricity-generating assets and the market value of the firms that own them depends on the initial allocation of carbon dioxide allowances, the composition of generating assets owned by the firm, and the locations of those assets. Changes in asset values inside the RGGI region may be positive or negative, whereas changes outside of the RGGI region are almost always positive but nonetheless vary greatly. Viewing changes at the firm level aggregates and moderates both positive and negative effects on market value compared with what would be observed by looking at changes at individual facilities. Nonetheless, a particular firm's portfolio of assets is unlikely to reflect the overall composition of assets in the industry as a whole, and some firms are likely to do substantially better or worse than the industry average. 16 refs., 4 figs.

Dallas Burtraw; Danny Kahn; Karen Palmerook

2005-12-15T23:59:59.000Z

209

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

E-Print Network [OSTI]

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

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

210

Two-Settlement Electric Power Markets with Dynamic-Price Contracts  

E-Print Network [OSTI]

system conditional on contract terms, prices, outdoor temperature, and other forcing terms Assoc's: Dr. Junjie Sun (Fin. Econ, OCC, U.S. Treasury, Wash, D.C.) Dr. Hongyan Li (Consulting Eng., ABB-Serving Entities") and retail energy consumers - integration of distributed renewable energy resources, e

Tesfatsion, Leigh

211

Diagnosing the California Electricity "Crisis": Lessons for Latin America  

E-Print Network [OSTI]

Large Investor-Owned Utilities (IOUs) ­ Pacific Gas and Electric (PG&E) ­ Southern California Edison, and distribution · Government-owned entities ­ BPA, WAPA, LADWP, SMUD, SRP · Significant out-of-region energy electricity prices regulated by California Public Utilities Commission (CPUC) · Wholesale electricity prices

Rudnick, Hugh

212

Observed Temperature Effects on Hourly Residential Electric Load Reduction in Response to an Experimental Critical Peak Pricing Tariff  

E-Print Network [OSTI]

Critical Peak Pricing Tariff Karen Herter ab* , Patrickunder critical peak pricing tariffs tested in the 2003-2004The 15-month experimental tariff gave customers a discounted

Herter, Karen B.; McAuliffe, Patrick K.; Rosenfeld, Arthur H.

2005-01-01T23:59:59.000Z

213

Missouri Natural Gas Price Sold to Electric Power Consumers (Dollars per  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per ThousandWellhead PriceDecade

214

"Table A47. Average Prices of Purchased Electricity, Steam, and Natural Gas"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for7. Average Prices of Purchased

215

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 103. Relative Standard Errors for7. Average Prices of9. Average

216

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

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

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

217

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

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

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

218

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

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

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

219

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

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

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

220

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

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

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

Note: This page contains sample records for the topic "regional electricity prices" 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

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

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

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

222

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

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

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

223

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S. Underground NaturalPrice

224

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S.Summary"LNG Storage NetPrice Sold

225

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

E-Print Network [OSTI]

building control strategies and techniques for demand response,”demand response and energy ef?ciency in commercial buildings,”building electricity use with application to demand response,”

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

226

Parallel electric fields in the upward current region of the aurora: Indirect and direct observations  

E-Print Network [OSTI]

Parallel electric fields in the upward current region of the aurora: Indirect and direct In this article we present electric field, magnetic field, and charged particle observations from the upward current region of the aurora focusing on the structure of electric fields at the boundary between

California at Berkeley, University of

227

Abstract--This paper introduces the fundamental concept of locational marginal price (LMP) in the electricity markets, and  

E-Print Network [OSTI]

1 Abstract--This paper introduces the fundamental concept of locational marginal price (LMP Terms-- Congestion charge, locational marginal price, LMP difference, nodal price. NOMENCLATURE ba) are to implement the locational marginal pricing [1-3]. Under Standard Market Design (SMD) issued by FERC in July

Fu, Yong

228

Vermont Natural Gas Price Sold to Electric Power Consumers (Dollars per  

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

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

229

South Carolina Natural Gas Price Sold to Electric Power Consumers (Dollars  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelinesProved ReservesFeet) YearPriceThousandThousand479,741

230

Idaho Natural Gas Price Sold to Electric Power Consumers (Dollars per  

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

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

231

Illinois Natural Gas Price Sold to Electric Power Consumers (Dollars per  

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

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

232

Indiana Natural Gas Price Sold to Electric Power Consumers (Dollars per  

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

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

233

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data Center Home Page on Delicious Rank EERE:YearRound-UpHeat PumpRecord ofESPCofConstructionofFY 20112:of Energy 3:Plug-inGasoline Prices |

234

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data9c : U.S.Welcome to the1,033 15:b. Coal Prices to

235

"2013 Total Electric Industry- Average Retail Price (cents/kWh)"  

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

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

236

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

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 and demand response, add uncertainties ...

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

2009-01-01T23:59:59.000Z

237

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

238

Central Wind Forecasting Programs in North America by Regional Transmission Organizations and Electric Utilities: Revised Edition  

SciTech Connect (OSTI)

The report and accompanying table addresses the implementation of central wind power forecasting by electric utilities and regional transmission organizations in North America. The first part of the table focuses on electric utilities and regional transmission organizations that have central wind power forecasting in place; the second part focuses on electric utilities and regional transmission organizations that plan to adopt central wind power forecasting in 2010. This is an update of the December 2009 report, NREL/SR-550-46763.

Rogers, J.; Porter, K.

2011-03-01T23:59:59.000Z

239

Strategic Pricing and Resource Allocation: Framework and Applications  

E-Print Network [OSTI]

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

Ren, Shaolei

2012-01-01T23:59:59.000Z

240

Regional Per Capita Solar Electric Footprint for the United States  

SciTech Connect (OSTI)

In this report, we quantify the state-by-state per-capita 'solar electric footprint' for the United States. We use state-level data on population, electricity consumption, economic activity and solar insolation, along with solar photovoltaic (PV) array packing density data to develop a range of estimates of the solar electric footprint. We find that the solar electric footprint, defined as the land area required to supply all end-use electricity from solar photovoltaics, is about 181 m2 per person in the United States. Two key factors that influence the magnitude of the state-level solar electric footprint include how industrial energy is allocated (based on location of use vs. where goods are consumed) and the assumed distribution of PV configurations (flat rooftop vs. fixed tilt vs. tracking). The solar electric footprint is about 0.6% of the total land area of the United States with state-level estimates ranging from less than 0.1% for Wyoming to about 9% for New Jersey. We also compare the solar electric footprint to a number of other land uses. For example, we find that the solar electric footprint is equal to less than 2% of the land dedicated to cropland and grazing in the United States.

Denholm, P.; Margolis, R.

2007-12-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

Parallel electric fields in the upward current region of the aurora: Numerical solutions  

E-Print Network [OSTI]

Parallel electric fields in the upward current region of the aurora: Numerical solutions R. E Direct observations of the parallel electric field by the Fast Auroral Snapshot satellite and the Polar of the properties of the observed electric fields, electron distributions, and ion distributions. The solutions

California at Berkeley, University of

242

Pricing mechanism for real-time balancing in regional electricity markets  

E-Print Network [OSTI]

and Power ­ increased or reduced production) and domestic water heaters that can be remotely turned off

de Weerdt, Mathijs

243

2013 Total Electric Industry- Average Retail Price (cents/kWh)  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ < RAPID Jump to:SeadovCooperativeA2. World liquids consumption by region, ReferenceG (2005)Average Retail

244

Final Report on Transmission Pricing in the Western Interconnection  

SciTech Connect (OSTI)

Under this project, the Committee on Regional Electric Power Cooperation (CREPC) of the Western Interstate Energy Board developed a ''western pricing and congestion management proposal'' in order to foster efficient wholesale power markets and efficient use and expansion of the transmission grid. Drafts of this paper provided useful information to states/provinces in the Western Interconnection as Western Regional Transmission Organization (RTO) transmission pricing proposals have continued to evolve. Throughout the project there has been a gradual, but incomplete agreement on pricing systems to be used by RTOs in the West.

Douglas C. Larson; Lawrence Nordell

2003-06-25T23:59:59.000Z

245

Deployment of CCS Technologies across the Load Curve for a Competitive Electricity Market as a Function of CO2 Emissions Permit Prices  

SciTech Connect (OSTI)

Consistent with other published studies, the modelling presented here reveals that baseload power plants are the first aspects of the electricity sector to decarbonize and are essentially decarbonized once CO2 permit prices exceed a certain threshold ($90/ton CO2 in this study). The decarbonization of baseload electricity is met by significant expansions of nuclear power and renewable energy generation technologies as well as the application of carbon dioxide capture and storage (CCS) technologies applied to both coal and natural gas fired power plants. Relatively little attention has been paid thus far to whether intermediate and peaking units would respond the same way to a climate policy given the very different operational and economic context that these kinds of electricity generation units operate under. In this paper, the authors discuss key aspects of the load segmentation methodology used to imbed a varying electricity demand within the GCAM (a state-of-the-art Integrated Assessment Model) energy and economic modelling framework and present key results on the role CCS technologies could play in decarbonizng subpeak and peak generation (encompassing only the top 10% of the load) and under what conditions. To do this, the authors have modelled two hypothetical climate policies that require 50% and 80% reductions in US emissions from business as usual by the middle of this century. Intermediate electricity generation is virtually decarbonized once carbon prices exceed approximately $150/tonCO2. When CO2 permit prices exceed $160/tonCO2, natural gas power plants with CCS have roughly the same marketshare as conventional gas plants in serving subpeak loads. The penetration of CCS into peak load (upper 6% here) is minimal under the scenarios modeled here suggesting that CO2 emissions from this aspect of the U.S. electricity sector would persist well into the future even with stringent CO2 emission control policies in place.

Luckow, Patrick; Wise, Marshall A.; Dooley, James J.

2011-04-18T23:59:59.000Z

246

Fairness and dynamic pricing: comments  

SciTech Connect (OSTI)

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

Hogan, William W.

2010-07-15T23:59:59.000Z

247

Northeast regional assessment study for solar electric options in the period 1980-2000  

SciTech Connect (OSTI)

Opportunities for demonstration and large scale deployment of solar electric facilities are identified and assessed. Technical, economic, and institutional factors that can contribute to an accelerated use of solar energy for electric power generation are defined. The following topics are covered: a description of the Northeast Region and its solar resources, central station applications, a dispersed user analysis, user viewpoints and institutional factors, and market potential for dispersed solar electric systems. (MHR)

None

1981-04-01T23:59:59.000Z

248

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

E-Print Network [OSTI]

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

Netoff, Theoden

249

An integrated assessment of global and regional water demands for electricity generation to 2095  

SciTech Connect (OSTI)

Electric power plants currently account for approximately one-half of the global industrial water withdrawal. While continued expansion of the electric sector seems likely into the future, the consequent water demands are quite uncertain, and will depend on highly variable water intensities by electricity technologies, at present and in the future. Using GCAM, an integrated assessment model of energy, agriculture, and climate change, we first establish lower-bound, median, and upper-bound estimates for present-day electric sector water withdrawals and consumption by individual electric generation technologies in each of 14 geopolitical regions, and compare them with available estimates of regional industrial or electric sector water use. We then explore the evolution of global and regional electric sector water use over the next century, focusing on uncertainties related to withdrawal and consumption intensities for a variety of electric generation technologies, rates of change of power plant cooling system types, and rates of adoption of a suite of water-saving technologies. Results reveal that the water withdrawal intensity of electricity generation is likely to decrease in the near term with capital stock turnover, as wet towers replace once-through flow cooling systems and advanced electricity generation technologies replace conventional ones. An increase in consumptive use accompanies the decrease in water withdrawal rates; however, a suite of water conservation technologies currently under development could compensate for this increase in consumption. Finally, at a regional scale, water use characteristics vary significantly based on characteristics of the existing capital stock and the selection of electricity generation technologies into the future.

Davies, Evan; Kyle, G. Page; Edmonds, James A.

2013-02-01T23:59:59.000Z

250

First evidence of asymmetric cost pass-through of Eu emissions allowances : examining wholesale electricity prices in Germany  

E-Print Network [OSTI]

This paper applies the literature on asymmetric price transmission to the emerging commodity market for EU emissions allowances (EUA). We utilize an error correction model and an autoregressive distributed lag model to ...

Zachmann, Georg

2007-01-01T23:59:59.000Z

251

Electricity Merger Policy in the Shadow of Regulation  

E-Print Network [OSTI]

Pennsylvania-New Jersey-Maryland (PJM) electricity wholesalehour of the next day. The PJM also solicits real-time bidseffects of a merger in the PJM region should consider price

Gilbert, Richard J; Newberry, David M

2006-01-01T23:59:59.000Z

252

Will competition hurt electricity consumers in the Pacific Northwest  

SciTech Connect (OSTI)

A computer model was developed at Oak Ridge National Laboratory to analyze the electricity production, costs, and prices for two geographical regions for a single year. Bulk-power trading is allowed between the two regions and market clearing prices are determined based on marginal costs. The authors used this model, ORCED, to evaluate the market price of power over the year 2000 in the Pacific Northwest and California. The authors found that, absent intervention by the regulators in the Northwest, generation prices would increase 1.1 {cents}/kWh on average, from 1.91 {cents}/kWh for the regulated price to 3.02 {cents}/kWh as the competitive price. If regulators use transition charges and price caps, then customers in the Pacific Northwest need not be penalized by the change to marginal-cost pricing. Customer responses to price changes will increase the transfer of power between regions. A gas price increase of 20%, while only raising the average-cost-based price to 1.95 {cents}/kWh, raised the marginal-cost-based price to 3.56{cents}/kWh. Reductions in hydroelectric resources also dramatically change the price and flow of power.

Hadley, S.; Hirst, E.

1998-11-01T23:59:59.000Z

253

Effects of regional insolation differences upon advanced solar thermal electric power plant performance and energy costs  

SciTech Connect (OSTI)

This study determines the performance and cost of four 10 MWe advanced solar thermal electric power plants sited in various regions of the continental United States. The solar plants are conceptualized to begin commercial operation in the year 2000. It is assumed that major subsystem performance will have improved substantially as compared to that of pilot plants currently operating or under construction. The net average annual system efficiency is therefore roughly twice that of current solar thermal electric power plant designs. Similarly, capital costs reflecting goals based on high-volume mass production that are considered to be appropriate for the year 2000 have been used. These costs, which are approximately an order of magnitude below the costs of current experimental projects, are believed to be achievable as a result of the anticipated sizeable solar penetration into the energy market in the 1990 to 2000 timeframe. The paraboloidal dish, central receiver, cylindrical parabolic trough, and compound parabolic concentrators comprise the advanced collector concepts studied. All concepts exhibit their best performance when sited in regional areas such as the sunbelt where the annual insolation is high. The regional variation in solar plant performance has been assessed in relation to the expected rise in the future cost of residential and commercial electricity in the same regions. A discussion of the regional insolation data base, a description of the solar systems performance and costs, and a presentation of a range for the forecast cost of conventional electricity by region and nationally over the next several decades are given.

Latta, A.F.; Bowyer, J.M.; Fujita, T.; Richter, P.H.

1980-02-01T23:59:59.000Z

254

CSEM WP 113 Using Environmental Emissions Permit Prices to Raise  

E-Print Network [OSTI]

CSEM WP 113 Using Environmental Emissions Permit Prices to Raise Electricity Prices: Evidence from Emissions Permit Prices to Raise Electricity Prices: Evidence from the California Electricity Market analyzes the extent to which the conditions in the emissions permit market for oxides of nitrogen (NOx

California at Berkeley. University of

255

Real-time Pricing Demand Response in Operations  

SciTech Connect (OSTI)

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

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

2012-07-26T23:59:59.000Z

256

Natural gas prices: Rhyme or reason  

SciTech Connect (OSTI)

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

Tucker, L.L.

1995-12-31T23:59:59.000Z

257

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

258

Some Simple Analytics of Peak-Load Pricing  

E-Print Network [OSTI]

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

Bergstrom, Ted; Mackie-Mason, Jeffrey K.

1991-01-01T23:59:59.000Z

259

Some Simple Analytics of Peak-Load Pricing  

E-Print Network [OSTI]

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

Bergstrom, Ted; MacKie-Mason, Jeffrey

1991-01-01T23:59:59.000Z

260

Pricing statistics sourcebook. 5. edition  

SciTech Connect (OSTI)

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

NONE

1999-11-01T23:59:59.000Z

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


261

Optimal 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

262

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

E-Print Network [OSTI]

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

Bolinger, Mark; Wiser, Ryan; Golove, William

2004-01-01T23:59:59.000Z

263

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

264

FOUNDATIONS OF PRICING AND INVESTMENT IN  

E-Print Network [OSTI]

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

Catholic University of Chile (Universidad CatĂłlica de Chile)

265

IMPACTS ASSESSMENT OF PLUG-IN HYBRID VEHICLES ON ELECTRIC UTILITIES AND REGIONAL U.S. POWER GRIDS  

E-Print Network [OSTI]

IMPACTS ASSESSMENT OF PLUG-IN HYBRID VEHICLES ON ELECTRIC UTILITIES AND REGIONAL U.S. POWER GRIDS National Laboratory(a) ABSTRACT The U.S. electric power infrastructure is a strategic national asset with the emerging plug-in hybrid electric vehicle (PHEV) technology to meet the majority of the daily energy needs

266

The effect of falling market concentration on prices, generator behaviour and productive efficiency in the England and Wales electricity market  

E-Print Network [OSTI]

A universal prediction of the various oligopoly models used to predict and explain behaviour in the England and Wales (E&W) electricity wholesale market is that divestiture of plants by the two large incumbent generators ...

Sweeting, Andrew

2001-01-01T23:59:59.000Z

267

Electric Drive Vehicle Infrastructure Deployment  

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

pricing 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 *...

268

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

E-Print Network [OSTI]

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

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

269

Essays on Price Dynamics  

E-Print Network [OSTI]

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

270

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

271

Electricity Monthly Update  

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

272

Resource Planning Model: An Integrated Resource Planning and Dispatch Tool for Regional Electric Systems  

SciTech Connect (OSTI)

This report introduces a new capacity expansion model, the Resource Planning Model (RPM), with high spatial and temporal resolution that can be used for mid- and long-term scenario planning of regional power systems. Although RPM can be adapted to any geographic region, the report describes an initial version of the model adapted for the power system in Colorado. It presents examples of scenario results from the first version of the model, including an example of a 30%-by-2020 renewable electricity penetration scenario.

Mai, T.; Drury, E.; Eurek, K.; Bodington, N.; Lopez, A.; Perry, A.

2013-01-01T23:59:59.000Z

273

Milk Pricing  

E-Print Network [OSTI]

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

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

2001-09-10T23:59:59.000Z

274

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

275

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 ...

276

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

277

The Consequences for Consumer Welfare of the 2001-2003 Electricity Distribution Price Review in The Netherlands  

E-Print Network [OSTI]

The Dutch regulatory process for setting the first X-Factors in the electricity distribution sector has gone badly wrong. During two-and-a-half years four different X-Factors were published by the regulator. These X-Factors fluctuated wildly. We...

Nillesen, Paul; Pollitt, Michael G.

2006-03-14T23:59:59.000Z

278

PSERC 98-22 "Market Power and Price Volatility in  

E-Print Network [OSTI]

PSERC 98-22 "Market Power and Price Volatility in Restructured Markets for Electricity" Tim Mount-562-3966. #12;MARKET POWER AND PRICE VOLATILITY IN RESTRUCTURED MARKETS FOR ELECTRICITY Tim Mount School.edu Abstract The restructured market for electricity in the UK has experienced a systematic pattern of price

279

BulkPower SystemDynamicsandControlIV-Restructuring, August24-28,Santorini,Greece. Priority Network Access Pricing for Electric Power  

E-Print Network [OSTI]

to the e cient dispatch solutions are modest. 1 Introduction Transmission pricing and congestion management it is generally agreed upon that transmission pricing should provide economic signals that will induce e cient use that inhibits competition and customer choice. Furthermore, the ex-post determination of the transmission prices

Oren, Shmuel S.

280

The Potential Impact of Increased Renewable Energy Penetrations on Electricity Bill Savings from Residential Photovoltaic Systems  

E-Print Network [OSTI]

model to project hourly wholesale electricity market pricesSecond, based on the wholesale electricity market pricesthe temporal trends in wholesale market electricity prices.

Barbose, Galen

2013-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

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

282

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

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

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

283

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

284

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

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

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

285

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

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

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

286

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

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

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

287

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

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

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

288

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

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

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

289

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

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

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

290

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

291

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.

292

VaR Constrained Hedging of Fixed Price Load-Following Obligations in Competitive  

E-Print Network [OSTI]

VaR Constrained Hedging of Fixed Price Load-Following Obligations in Competitive Electricity , and marketers at the prices determined by supply and demand equilibrium. Electricity mar- ket participants are exposed to risks in their net earnings due to uncertain wholesale market prices. Electricity market prices

293

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

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

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

294

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: Energy SourcesWyoming"CoalbedOhio" ,"FullUtah"Wyoming",,,"07,6.LNGPrice

295

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

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

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

296

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

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

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

297

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

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

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

298

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves in NonproducingU.S.Summary"LNGShale ProvedLNG

299

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural GasPlant Liquids, Expected Future

300

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural GasPlant Liquids,Shale Provedf.LNG

Note: This page contains sample records for the topic "regional electricity prices" 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

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

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"BruneiReserves inDry Natural GasPlant+ Lease CondensatePlant

302

Electricity Monthly Update  

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

303

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

304

An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical Analysis for New England  

E-Print Network [OSTI]

Abstract: In this paper, we develop a novel electric power supply chain network model with fuel supply markets that captures both the economic network transactions in energy supply markets and the physical that the regional electric power prices simulated by the proposed model very well match the actual electricity

Nagurney, Anna

305

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

E-Print Network [OSTI]

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

Dastrup, Samuel R.

2011-01-01T23:59:59.000Z

306

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:

307

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3 and

308

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3 and4

309

,"Table 2a. Noncoincident Summer Peak Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3

310

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3b.

311

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3b.b.

312

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9" ,"Released:3b.b.2b.

313

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"

314

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected 2004

315

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected 20044 and

316

,"Table 2b. Noncoincident Winter Peak Load, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected 20044

317

Southeast Regional Assessment Study: an assessment of the opportunities of solar electric power generation in the Southeastern United States  

SciTech Connect (OSTI)

The objective of this study was to identify and assess opportunities for demonstration and large scale deployment of solar electric facilities in the southeast region and to define the technical, economic, and institutional factors that can contribute to an accelerated use of solar energy for electric power generation. Graphs and tables are presented indicating the solar resource potential, siting opportunities, energy generation and use, and socioeconomic factors of the region by state. Solar electric technologies considered include both central station and dispersed solar electric generating facilities. Central stations studied include solar thermal electric, wind, photovoltaic, ocean thermal gradient, and biomass; dispersed facilities include solar thermal total energy systems, wind, and photovoltaic. The value of solar electric facilities is determined in terms of the value of conventional facilities and the use of conventional fuels which the solar facilities can replace. Suitable cost and risk sharing mechanisms to accelerate the commercialization of solar electric technologies in the Southeast are identified. The major regulatory and legal factors which could impact on the commercialization of solar facilities are reviewed. The most important factors which affect market penetration are reviewed, ways to accelerate the implementation of these technologies are identified, and market entry paths are identified. Conclusions and recommendations are presented. (WHK)

None

1980-07-01T23:59:59.000Z

318

Natural Gas Electric Power Price  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia, Virginia:FAQ <Information Administration (EIA) 10 MECS Survey Data 2010 | 2006 | 2002 |J.MonthlyU.S.O F4.34 4.23

319

Electricity Prices for Households - EIA  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment > Voluntary826

320

Electricity Prices for Industry - EIA  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel),Feet) Year Jan Feb Mar Apr May Jun Jul(Summary) " ,"ClickPipelines AboutDecember 2005 (Thousand9,0, 1997Environment > Voluntary826Industry for Selected

Note: This page contains sample records for the topic "regional electricity prices" 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

Natural Gas Electric Power Price  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per6.48(Millionthroughthroughthrough4.93 5.27 4.89

322

Natural Gas Electric Power Price  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per6.48(Millionthroughthroughthrough4.93 5.27 4.89

323

Natural Gas Electric Power Price  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE: Alternative Fuels Data Center Home Page on Google Bookmark EERE: Alternative Fuels Data CenterFranconia,(Million Barrels) Crude Oil Reserves in Nonproducing Reservoirs Year2per6.48(Millionthroughthroughthrough4.93 5.27

324

Applications of Nash Equilibria In Electricity Markets  

E-Print Network [OSTI]

customers in smaller quantities on the retail electricity market. #12;Clearing Price Auctions determine in the stack, while high price offers are promising during peak demand. The electricity price is thereforeApplications of Nash Equilibria In Electricity Markets Term Paper Seminar Electrical Power Networks

Lavaei, Javad

325

How regulators should use natural gas price forecasts  

SciTech Connect (OSTI)

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

326

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

E-Print Network [OSTI]

households and the share spent on transportation both rose considerably. E2W prices decreased, gasoline prices rose and electricity

Weinert, Jonathan X.

2007-01-01T23:59:59.000Z

327

National Survey of E85 and Gasoline Prices  

SciTech Connect (OSTI)

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

Bergeron, P.

2008-10-01T23:59:59.000Z

328

A Review of Recent RTO Benefit-Cost Studies: Toward More Comprehensive Assessments of FERC Electricity Restructuring Policies  

E-Print Network [OSTI]

3. Regional transmission pricing. 4. Retail access. 5.cost. Regional transmission pricing is designed to make each

Eto, Joseph H.; Lesieutre, Bernard C.

2005-01-01T23:59:59.000Z

329

Sixth Northwest Conservation and Electric Power Plan Chapter 2: Key Assumptions  

E-Print Network [OSTI]

................................................................ 10 Wholesale Electricity Prices further. Wholesale electricity prices are expected to increase from about $30 per megawatt-hour in 2010

330

Low lying electric dipole excitations in nuclei of the rare earth region  

SciTech Connect (OSTI)

From many experiments with low energy photon scattering on deformed rare earth nuclei we have obtained detailed information about the distribution of electric dipole strength below 4 MeV. Apart from some weaker transitions between 2 and 4 MeV we observed one, and sometimes two, very strong El-groundstate transitions around 1.5 MeV in all examined nuclei. They arise from the de-excitation of the bandheads of the (J{sup {pi}},K)=(l{sup {minus}},0) and (J{sup {pi}},K)=(l{sup {minus}},1) octupole vibrational bands. It is shown that the decay branching ratios and the absolute transition strengths of these states can be reproduced rather well with an improved T(El)-operator in the sdf-Interacting Boson Model. Another class of octupole states has been investigated in the region of the semimagic nucleus {sup 142}Nd. Here a quintuplet of collective excitations around 3.5 MeV is expected due to the coupling of the 3{minus}-octupole vibration with the 2+-quadrupole vibration. We performed photon scattering experiments on the odd A neighboring nucleus {sup 141}Pr and found first evidence for the existence of 3{sup {minus}}{circle_times}2+{circle_times}particle-states.

von Brentano, P.; Zilges, A.; Herzberg, R.D. [Koeln Univ. (Germany). Inst. fuer Kernphysik; Zamfir, N.V. [Brookhaven National Lab., Upton, NY (United States); Kneissl, U.; Heil, R.D.; Pitz, H.H. [Stuttgart Univ. (Germany). Inst. fuer Strahlenphysik; Wesselborg, C. [Giessen Univ. (Germany). Inst. fuer Kernphysik

1992-10-01T23:59:59.000Z

331

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

E-Print Network [OSTI]

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

Auffhammer, Maximilian

332

Regional economic impacts of changes in electricity rates resulting from Western Area Power Administration`s power marketing alternatives  

SciTech Connect (OSTI)

This technical memorandum describes an analysis of regional economic impacts resulting from changes in retail electricity rates due to six power marketing programs proposed by Western Area Power Administration (Western). Regional economic impacts of changes in rates are estimated in terms of five key regional economic variables: population, gross regional product, disposable income, employment, and household income. The REMI (Regional Impact Models, Inc.) and IMPLAN (Impact Analysis for Planning) models simulate economic impacts in nine subregions in the area in which Western power is sold for the years 1993, 2000, and 2008. Estimates show that impacts on aggregate economic activity in any of the subregions or years would be minimal for three reasons. First, the utilities that buy power from Western sell only a relatively small proportion of the total electricity sold in any of the subregions. Second, reliance of Western customers on Western power is fairly low in each subregion. Finally, electricity is not a significant input cost for any industry or for households in any subregion.

Allison, T.; Griffes, P.; Edwards, B.K.

1995-03-01T23:59:59.000Z

333

State energy price and expenditure report 1993  

SciTech Connect (OSTI)

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

334

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...

335

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

336

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

337

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

338

allowance price drivers: Topics by E-print Network  

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

First evidence of asymmetric cost pass-through of Eu emissions allowances : examining wholesale electricity prices in Germany MIT - DSpace Summary: This paper applies the...

339

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network [OSTI]

in Demand Response for Wholesale Ancillary Services. ” Incan be used to link wholesale and retail real-time prices.11 Wholesale Electricity Market Information

Ghatikar, Girish

2010-01-01T23:59:59.000Z

340

The Influence of a CO2 Pricing Scheme on Distributed Energy Resources in California's Commercial Buildings  

E-Print Network [OSTI]

The Influence of a CO2 Pricing Scheme on Distributed Energy5. Regional Results for the CO2 Pricing Scheme no-invest

Stadler, Michael

2010-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

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

342

Design and Analysis of a Region-Wide Remotely Controllable Electrical Lock-Out System  

SciTech Connect (OSTI)

Electric utilities have a main responsibility to protect the lives and safety of their workers when they are working on low-, medium-, and high-voltage power lines and distribution circuits. With the anticipated widespread deployment of smart grids, a secure and highly reliable means of maintaining isolation of customer-owned distributed generation (DG) from the affected distribution circuits during maintenance is necessary to provide a fully de-energized work area, ensure utility personnel safety, and prevent hazards that can lead to accidents such as accidental electrocution from unanticipated power sources. Some circuits are serviced while energized (live line work) while others are de-energized for maintenance. For servicing de-energized circuits and equipment, lock-out tag-out (LOTO) programs provide a verifiable procedure for ensuring that circuit breakers are locked in the off state and tagged to indicate that status to operational personnel so that the lines will be checked for voltage to verify they are de-energized. The de-energized area is isolated from any energized sources, which traditionally are the substations. This procedure works well when all power sources and their interconnections are known armed with this knowledge, utility personnel can determine the appropriate circuits to de-energize for isolating the target line or equipment. However, with customer-owned DG tied into the grid, the risk of inadvertently reenergizing a circuit increases because circuit connections may not be adequately documented and are not under the direct control of the local utility. Thus, the active device may not be properly de-energized or isolated from the work area. Further, a remote means of de-energizing and locking out energized devices provides an opportunity for greatly reduced safety risk to utility personnel compared to manual operations. In this paper, we present a remotely controllable LOTO system that allows individual workers to determine the configuration and status of electrical system circuits and permit them to lock out customer-owned DG devices for safety purposes using a highly secure and ultra-reliable radio signal. The system consists of: (1) individual personal lockout devices, (2) lockout communications and logic module at circuit breakers, which are located at all DG devices, and (3) a database and configuration control process located at the utility operations center. The lockout system is a close permissive, i.e., loss of control power or communications will cause the circuit breaker to open. Once the DG device is tripped open, a visual means will provide confirmation of a loss of voltage and current that verifies the disconnected status of the DG. Further the utility personnel will be able to place their own lock electronically on the system to ensure a lockout functionally. The proposed LOTO system provides enhanced worker safety and protection against unintended energized lines when DG is present. The main approaches and challenges encountered through designing the proposed region-wide LOTO system are discussed in this paper. These approaches include: (1) evaluating the reliability of the proposed approach under N-modular redundancy with voter/spares configurations and (2) conducting a system level risk assessment study using the failure modes and effects analysis (FMEA) technique to identify and rank failure modes by probability of occurrence, probability of detection, and severity of consequences. This ranking allows a cost benefits analysis to be conducted such that dollars and efforts will be applied to the failures that provide greatest incremental gains in system capability (resilience, survivability, security, reliability, availability, etc.) per dollar spent whether capital, operations, or investment. Several simulation scenarios and their results are presented to demonstrate the viability of these approaches.

Olama, Mohammed M [ORNL; Allgood, Glenn O [ORNL; Kuruganti, Phani Teja [ORNL; Howlader, Mostofa [ORNL; Kisner, Roger A [ORNL; Ewing, Paul D [ORNL; McIntyre, Timothy J [ORNL

2012-01-01T23:59:59.000Z

343

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

344

,"New York Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

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

345

Evaluation of evolving residential electricity tariffs  

E-Print Network [OSTI]

residential electricity tariffs Judy Lai, Nicholas DeForest,residential electricity tariffs Judy Lai – Senior Researchfrom the current 5-tiered tariff to time variable pricing,

Lai, Judy

2011-01-01T23:59:59.000Z

346

Wholesale marginal prices in competitive generation markets  

SciTech Connect (OSTI)

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

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

1997-05-01T23:59:59.000Z

347

State Energy Price System: 1982 update  

SciTech Connect (OSTI)

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

348

PRICE GOUGING | Department of Energy  

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

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

349

Case Study: Lessons Learned From Converting Electric Chillers to Steam Chillers in a Electric Deregulated Market.  

E-Print Network [OSTI]

was that a flatter load profile due to steam cooling should allow better electric pricing from energy suppliers....

Wohl, J.

350

Price controls and international petroleum product prices  

SciTech Connect (OSTI)

The effects of Federal refined-product price controls upon the price of motor gasoline in the United States through 1977 are examined. A comparison of domestic and foreign gasoline prices is made, based on the prices of products actually moving in international trade. There is also an effort to ascribe US/foreign market price differentials to identifiable cost factors. Primary emphasis is on price comparisons at the wholesale level, although some retail comparisons are presented. The study also examines the extent to which product price controls are binding, and attempts to estimate what the price of motor gasoline would have been in the absence of controls. The time period under consideration is from 1969 through 1977, with primary focus on price relationships in 1970-1971 (just before US controls) and 1976-1977. The foreign-domestic comparisons are made with respect to four major US cities, namely, Boston, New York, New Orleans, and Los Angeles. 20 figures, 14 tables.

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

1980-02-01T23:59:59.000Z

351

Particle acceleration and radiation by direct electric fields in flaring complex solar active regions  

E-Print Network [OSTI]

to connect the energy re- lease process with the acceleration of electrons in solar flares, using a CA modelParticle acceleration and radiation by direct electric fields in flaring complex solar active-Meudon, 92195 Meudon Cedex, FRANCE Abstract The acceleration and radiation of solar energetic particles

Anastasiadis, Anastasios

352

CSEM WP 105 Dynamic Pricing, Advanced Metering and  

E-Print Network [OSTI]

CSEM WP 105 Dynamic Pricing, Advanced Metering and Demand Response in Electricity Markets Severin Pricing, Advanced Metering, and Demand Response in Electricity Markets Severin Borenstein Michael Jaske energy crisis and potential solutions for the future. This work was sponsored by the William and Flora

California at Berkeley. University of

353

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.

354

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

355

,"New Mexico Natural Gas Industrial Price (Dollars per Thousand Cubic Feet)"  

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

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

356

,"South Dakota Natural Gas Wellhead Price (Dollars per Thousand Cubic Feet)"  

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

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

357

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

E-Print Network [OSTI]

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

358

Low lying electric dipole excitations in nuclei of the rare earth region  

SciTech Connect (OSTI)

From many experiments with low energy photon scattering on deformed rare earth nuclei we have obtained detailed information about the distribution of electric dipole strength below 4 MeV. Apart from some weaker transitions between 2 and 4 MeV we observed one, and sometimes two, very strong El-groundstate transitions around 1.5 MeV in all examined nuclei. They arise from the de-excitation of the bandheads of the (J[sup [pi

von Brentano, P.; Zilges, A.; Herzberg, R.D. (Koeln Univ. (Germany). Inst. fuer Kernphysik); Zamfir, N.V. (Brookhaven National Lab., Upton, NY (United States)); Kneissl, U.; Heil, R.D.; Pitz, H.H. (Stuttgart Univ. (Germany). Inst. fuer Strahlenphysik); Wesselborg, C. (Giessen Univ. (Germany). Inst. fuer Kernphysik)

1992-01-01T23:59:59.000Z

359

The role of regional power pools in support of a competitive electric power market  

SciTech Connect (OSTI)

The regulated, vertically integrated electric utility industry is transitioning to a competitive market structure. Change is driven by new technologies, competition, markets and customers. Electric industry restructuring must focus on bringing the benefits of competition to all consumers; a market system producing lower costs through competitive efficiencies, not zero-sum games of cost shifting and cost avoidance; and a transparent, open market that provides opportunity for all to compete to serve all customers. Customers want choice, flexibility and reliability. To this end, Edison has developed a pool-based proposal. All electric systems that have transitioned from a regulated to a competitive market model, such as UK, Norway, New Zealand and Alberta have relied on a pool-based structure. Edison`s proposal has become known as POOLCO, and it separates financial transactions from physical operation of the system, giving customers the choice of service through bilateral commercial contracts, yet assuring coordinated, reliable system operation. Independent and unaffiliated with any utility, it would make a real-time, voluntary spot power market; dispatch supply; provide open, comparable transmission access and perform the balancing or settlement function, based on visible, competitive future requires resolution of some important policy issues--recovery of costs prudently incurred under the current regulatory structure; jurisdictional clarity between federal and state regulatory authority; and size, scope and recovery of costs associated with energy policy programs.

Budhraja, V. [Southern California Edison, Rosemead, CA (United States)

1995-12-31T23:59:59.000Z

360

Modeling and simulation of consumer response to dynamic pricing.  

SciTech Connect (OSTI)

Assessing the impacts of dynamic-pricing under the smart grid concept is becoming extremely important for deciding its full deployment. In this paper, we develop a model that represents the response of consumers to dynamic pricing. In the model, consumers use forecasted day-ahead prices to shift daily energy consumption from hours when the price is expected to be high to hours when the price is expected to be low while maintaining the total energy consumption as unchanged. We integrate the consumer response model into the Electricity Market Complex Adaptive System (EMCAS). EMCAS is an agent-based model that simulates restructured electricity markets. We explore the impacts of dynamic-pricing on price spikes, peak demand, consumer energy bills, power supplier profits, and congestion costs. A simulation of an 11-node test network that includes eight generation companies and five aggregated consumers is performed for a period of 1 month. In addition, we simulate the Korean power system.

Valenzuela, J.; Thimmapuram, P.; Kim, J (Decision and Information Sciences); (Auburn Univ.)

2012-08-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

Maximizing Return on Investment of a Grid-Connected Hybrid Electrical Energy Storage System  

E-Print Network [OSTI]

-of-day pricing policy [3] with much higher energy price during peak hours for residential users, incentivizing energy when the electricity price is low and supply energy for use when the electricity price is high [6 total energy cost saving compared to its capital cost (i.e., the purchase price of the system plus its

Pedram, Massoud

362

Understanding Crude Oil Prices  

E-Print Network [OSTI]

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

363

Optimal Risk-aware Power Procurement for Data Centers in Day-Ahead and Real-Time Electricity Markets  

E-Print Network [OSTI]

reduction that data centers may achieve by exploiting the diversity in the price of electricity in day, and statistical characteristics of workload and electricity prices. Using empirical electricity price and Internet to benefit from geographical diversity in both electricity prices [1], [8] and renewable generation [9], [10

Mohsenian-Rad, Hamed

364

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

365

Optimal Control of a Grid-Connected Hybrid Electrical Energy Storage System for Homes  

E-Print Network [OSTI]

with the introduction of dynamic electricity energy pricing models since electricity consumers can use their PV, and thereby, minimize their electricity bill. Due to the characteristics of a realistic electricity price period under a general electricity energy price function. The proposed algorithm is based on dynamic

Pedram, Massoud

366

Draining the Pool: Electricity Trading in England & Wales  

E-Print Network [OSTI]

of reform · Most customers got lower prices · Electricity company profits rose · Large-scale entry by CCGT

California at Berkeley. University of

367

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

E-Print Network [OSTI]

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

Wright, Francis

368

Electricity Monthly Update - Energy Information Administration  

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

increased electric demand and wholesale and retail prices over last February. Coal consumption rose across the U.S. and out competed natural gas on price in the East. A gas...

369

Reality Check: Cheaper Batteries are GOOD for America's Electric...  

Office of Environmental Management (EM)

electric vehicle manufacturing. The story says that the price of advanced batteries for electric vehicles is rapidly declining. That's true. And it's also very good news, since...

370

Exploring Smart Grid and Data Center Interactions for Electric Power Load Balancing  

E-Print Network [OSTI]

, when large data centers suddenly increase their energy consumption in low price regions, they may of a data center consumes a tremendous amount of electricity, and the energy cost accounts for a large portion of the data center's operation cost. This leads to a growing interest towards reducing the energy

Huang, Jianwei

371

,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and Projected6"

372

,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 and

373

,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Corporation Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary 2010"

374

,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary

375

,"Table 3a. January Monthly Peak Hour Demand, Actual and Projected by North American Electric Reliability Council Region, "  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary3a. January

376

,"Table 4.B Winter Net Internal Demand, Capacity Resources, and Capacity Margins by North American Electric Reliability Corporation Region,"  

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

AFDC Printable Version Share this resource Send a link to EERE: Alternative Fuels Data Center Home Page to someone by E-mail Share EERE: Alternative Fuels Data Center Home Page on Facebook Tweet about EERE: Alternative Fuels Data Center Home Page on Twitter Bookmark EERE:1 First Use of Energy for All Purposes (Fuel and Nonfuel), 2002; Level: National and Regional Data; Row: NAICS Codes; Column: EnergyShale ProvedTexas"Brunei (Dollars per ThousandPrice Sold to9"3 andJanuary3a. JanuaryB

377

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

E-Print Network [OSTI]

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

Noel, Michael

2004-01-01T23:59:59.000Z

378

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

E-Print Network [OSTI]

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

379

COORDINATING ON LOWER PRICES: PHARMACEUTICAL PRICING  

E-Print Network [OSTI]

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

Sadoulet, Elisabeth

380

The Minimum Price Contract  

E-Print Network [OSTI]

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

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

2008-10-17T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

Grid Pricing of Fed Cattle  

E-Print Network [OSTI]

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

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

2009-03-02T23:59:59.000Z

382

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

SciTech Connect (OSTI)

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

383

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

RETAIL PRICES CONTENTS Page Tuna, Canned White Meat Tuna. (Albacore), Solid Pack, In Oil All BrandsCANNED FISH RETAIL PRICES UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDLIFE SERVICE BUREAU PRICES APRIL 1959 Prepared in the Bureau of Commercial Fisheries Branch of Market Development FISHERY

384

CANNED FISH RETAIL PRICES  

E-Print Network [OSTI]

PRICES CONTENTS Page Tuna, Canned White Meat Tuna (Albacore), Solid Pack, In Oil All Brands ExceptCANNED FISH RETAIL PRICES JUNE ll959 UNITED STATES DEPARTMENT OF THE INTERIOR FISH AND WILDUFE, Commissioner CANNED FISH RETAIL PRICES JUNE 1959 Prepared in the Bureau of Commercial Fisheries Branch

385

Dynamic pricing? Not so fast. a residential consumer perspective  

SciTech Connect (OSTI)

With the installation of smart metering, will residential customers be moved to ''dynamic'' pricing? Some supporters of changing residential rate design from a fixed and stable rate structure believe customers should be required to take electric service with time-variant price signals. Not so fast, though. There are real implications associated with this strategy. (author)

Alexander, Barbara R.

2010-07-15T23:59:59.000Z

386

Does dynamic pricing make sense for mass market customers?  

SciTech Connect (OSTI)

The added incentive to modify electric use under hourly versus monthly market-based pricing is small for most mass market customers in Upstate New York. If the ultimate policy goal of demand-response programs is to reduce peak load, then promoting conservation measures under monthly market-based pricing holds more promise. (author)

McDonough, Catherine; Kraus, Robert

2007-08-15T23:59:59.000Z

387

Designing pricing strategies for coordination of networked distributed energy resources  

E-Print Network [OSTI]

Designing pricing strategies for coordination of networked distributed energy resources Bahman, by a group of distributed energy resources (DERs). The aggregator interacts with the wholesale electricity. The objective is for the aggregator to design a pricing strategy for incentivizing DERs to modify their active

Liberzon, Daniel

388

Will smart pricing finally take off? Andrew Odlyzko  

E-Print Network [OSTI]

central business districts and "smart" electric meter deployments are spreading. Airlines are evenWill smart pricing finally take off? Andrew Odlyzko School of Mathematics University of Minnesota Abstract. "Smart pricing" has been the goal of the networking research com- munity

Odlyzko, Andrew M.

389

Conservation Behavior: From Voluntary Restraint to a Voluntary Price Premium*  

E-Print Network [OSTI]

predictions of the model in an empirical study of household electricity consumption with introduction of a price-premium, green-electricity program. We ...nd evidence of voluntary restraint and its relation test its predictions in an empirical study of household demand for electricity in Traverse City

390

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

E-Print Network [OSTI]

Residential Market for Natural Gas,” 2008, working paper. [of Electricity and Natural Gas,” Journal of IndustrialPrices: Evidence from Natural Gas Distribution Utilities,”

Davis, Lucas; Muehlegger, Erich

2009-01-01T23:59:59.000Z

391

Cooperative Demand Response Using Repeated Game for Price-Anticipating Buildings in Smart Grid  

E-Print Network [OSTI]

1. Demand response with price-anticipating buildings. C.one-stage demand response because all the building managersbuilding electricity use, with application to demand response,”

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

2014-01-01T23:59:59.000Z

392

Dynamic Interactions in the Western United States Electricity Spot Markets Christine A. Jerko  

E-Print Network [OSTI]

to be the dominant market in the long run in both seasons. Key words: electricity prices, directed graphs, vector of the electricity industry and its impact on electricity prices is a subject of considerable interest, especially given the recent electricity price spikes occurring in California and elsewhere. Weron (2000) notes

393

Pricing and Forwarding Games for Inter-domain Full version  

E-Print Network [OSTI]

, Koushik Kar, and Michael Usher Department of Computer Science Department of Electrical & Computer-to-anywhere pricing) [16]. It has been argued correctly that point-to-point or destination-based pric- ing can result

Varela, Carlos

394

Online Pricing of Secondary Spectrum Access with Unknown Demand Function  

E-Print Network [OSTI]

consider a set-up consistent with the The authors are affiliated with the Department of Electrical contracts and are not subjected to on-line pric- ing. On the other hand, SUs are admitted and priced

Starobinski, David

395

Maintaining Generation Adequacy in a Restructuring U.S. Electricity Industry  

SciTech Connect (OSTI)

Historically, decisions on the amounts, locations, types, and timing of investments in new generation have been made by vertically integrated utilities with approval from state public utility commissions. As the U.S. electricity industry is restructured, these decisions are being fragmented and dispersed among a variety of organizations. As generation is deregulated and becomes increasingly competitive, decisions on whether to build new generators and to retire, maintain, or repower existing units will increasingly be made by unregulated for-profit corporations. These decisions will be based largely on investor assessments of future profitability and only secondarily on regional reliability requirements. In addition, some customers will choose to face real-time (spot) prices and will respond to the occasionally very high prices by reducing electricity use at those times. Market-determined generation levels will, relative to centrally mandated reserve margins, lead to: (1) more volatile energy prices; (2) lower electricity costs and prices; and (3) a generation mix with more baseload, and less peaking, capacity. During the transition from a vertically integrated, regulated industry to a deintegrated, competitive industry, government regulators and system operators may continue to impose minimum-installed-capacity requirements on load-serving entities. As the industry gains experience with customer responses to real-time pricing and with operation of competitive intrahour energy markets, these requirements will likely disappear. We quantitatively analyzed these issues with the Oak Ridge Competitive Electricity Dispatch model (ORCED). Model results show that the optimal reserve margin depends on various factors, including fuel prices, initial mix of generation capacity, and customer response to electricity prices (load shapes and system load factor). Because the correct reserve margin depends on these generally unpredictable factors, mandated reserve margins might be too high, leading to higher electricity costs and prices. Absent mandated reserve margins, electricity prices and costs decline with increasing customer response to prices during high-demand periods. The issues discussed here are primarily transitional rather than enduring. However, the transition from a highly regulated, vertically integrated industry to one dominated by competition is likely to take another five to ten years.

Hirst, E.; Hadley, S.

1999-10-01T23:59:59.000Z

396

Renewable Energy Price-Stability Benefits in Utility Green Power Programs  

SciTech Connect (OSTI)

This paper examines utility experiences when offering the fixed-price benefits of renewable energy in green pricing programs, including the methods utilized and the impact on program participation. It focuses primarily on utility green pricing programs in states that have not undergone electric industry restructuring.

Bird, L. A.; Cory, K. S.; Swezey, B. G.

2008-08-01T23:59:59.000Z

397

Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants  

E-Print Network [OSTI]

but not least distribution network rent. Keywords-distribution network locational marginal prices; power flow application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets load-side market participation and the use of Distribution network Locational Marginal Prices (DLMP

Caramanis, Michael

398

Price Discovery in Dynamic Power Markets with Low-Voltage Distribution-Network Participants  

E-Print Network [OSTI]

-distribution network locational marginal prices; power flow; reactive power compensation; voltage control; distributed application to Electric Power [2, 3] dynamic Locational-Marginal-Price (LMP) based Wholesale Power Markets to clear markets and discover dynamic Locational Marginal Prices (LMPs) that promoted more efficient

Caramanis, Michael

399

Equilibrium pricing bounds on option prices Marie Chazala  

E-Print Network [OSTI]

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

Boyer, Edmond

400

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

SciTech Connect (OSTI)

We present an Open Automated Demand Response Communications Specifications (OpenADR) data model capable of communicating real-time prices to electricity customers. We also show how the same data model could be used to for other types of dynamic pricing tariffs (including peak pricing tariffs, which are common throughout the United States). Customers participating in automated demand response programs with building control systems can respond to dynamic prices by using the actual prices as inputs to their control systems. Alternatively, prices can be mapped into"building operation modes," which can act as inputs to control systems. We present several different strategies customers could use to map prices to operation modes. Our results show that OpenADR can be used to communicate dynamic pricing within the Smart Grid and that OpenADR allows for interoperability with existing and future systems, technologies, and electricity markets.

Ghatikar, Girish; Mathieu, Johanna L.; Piette, Mary Ann; Kiliccote, Sila

2010-06-02T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

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

SciTech Connect (OSTI)

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

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

2005-08-01T23:59:59.000Z

402

CSEM WP 130 Retail Electricity Competition*  

E-Print Network [OSTI]

is part of the Center for the Study of Energy Markets (CSEM) Working Paper Series. CSEM is a program is that final consumers may not react to the real time prices that emerge in wholesale electricity markets of the wholesale spot market price. Price-insensitive consumers with rea

California at Berkeley. University of

403

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

E-Print Network [OSTI]

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

Muehlegger, Erich J

2005-01-01T23:59:59.000Z

404

Climate mitigation’s impact on global and regional electric power sector water use in the 21st Century  

SciTech Connect (OSTI)

Over the course of this coming century, global electricity use is expected to grow at least five fold and if stringent greenhouse gas emissions controls are in place the growth could be more than seven fold from current levels. Given that the electric power sector represents the second largest anthropogenic use of water and given growing concerns about the nature and extent of future water scarcity driven by population growth and a changing climate, significant concern has been expressed about the electricity sector’s use of water going forward. In this paper, the authors demonstrate that an often overlooked but absolutely critical issue that needs to be taken into account in discussions about the sustainability of the electric sector’s water use going forward is the tremendous turn over in electricity capital stock that will occur over the course of this century; i.e., in the scenarios examined here more than 80% of global electricity production in the year 2050 is from facilities that have not yet been built. The authors show that because of the large scale changes in the global electricity system, the water withdrawal intensity of electricity production is likely to drop precipitously with the result being relatively constant water withdrawals over the course of the century even in the face of the large growth in electricity usage. The ability to cost effectively reduce the water intensity of power plants with carbon dioxide capture and storage systems in particular is key to constraining overall global water use.

Dooley, James J.; Kyle, G. Page; Davies, Evan

2013-08-05T23:59:59.000Z

405

State energy price and expenditure report 1989  

SciTech Connect (OSTI)

The State Energy Price and Expenditure Report (SEPER) presents energy price and expenditure estimates for the 50 States, the District of Columbia, and the United States. The estimates are provided by energy source (e.g., petroleum, natural gas, coal, and electricity) and by major consuming or economic sector. This report is an update of the State Energy Price and Expenditure Report 1988 published in September 1990. Changes from the last report are summarized in a section of the documentation. Energy price and expenditure estimates are published for the years 1970, 1975, 1980, and 1985 through 1989. Documentation follows the tables and describes how the price estimates are developed, including sources of data, methods of estimation, and conversion factors applied. Consumption estimates used to calculate expenditures, and the documentation for those estimates, are from the State Energy Data Report, Consumption Estimates, 1960--1989 (SEDR), published in May 1991. Expenditures are calculated by multiplying the price estimates by the consumption estimates, adjusted to remove process fuel and intermediate product consumption. All expenditures are consumer expenditures, that is, they represent estimates of money directly spent by consumers to purchase energy, generally including taxes. 11 figs., 43 tabs.

Not Available

1991-09-30T23:59:59.000Z

406

Probabilistic Optimal Power Flow Applications to Electricity Markets  

E-Print Network [OSTI]

of electricity markets, special attention is paid to the uncertainty in Locational Marginal Prices (LMPs], [2]. In markets based on optimal power flows (OPF) to calculate electricity prices, one may use prices. Since OPF is a deterministic tool, it is necessary to complete many simulations to en- compass

Cañizares, Claudio A.

407

Method and system to directly produce electrical power within the lithium blanket region of a magnetically confined, deuterium-tritium (DT) fueled, thermonuclear fusion reactor  

DOE Patents [OSTI]

A method for integrating liquid metal magnetohydrodynamic power generation with fusion blanket technology to produce electrical power from a thermonuclear fusion reactor located within a confining magnetic field and within a toroidal structure. A hot liquid metal flows from a liquid metal blanket region into a pump duct of an electromagnetic pump which moves the liquid metal to a mixer where a gas of predetermined pressure is mixed with the pressurized liquid metal to form a Froth mixture. Electrical power is generated by flowing the Froth mixture between electrodes in a generator duct. When the Froth mixture exits the generator the gas is separated from the liquid metal and both are recycled.

Woolley, Robert D. (Belle Mead, NJ)

1999-01-01T23:59:59.000Z

408

Retrospective Evaluation of Appliance Price Trends  

E-Print Network [OSTI]

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

Dale, Larry

2010-01-01T23:59:59.000Z

409

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

E-Print Network [OSTI]

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

Robinson, J.

2008-01-01T23:59:59.000Z

410

Crude Oil Prices  

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

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

411

Livestock Seasonal Price Variation  

E-Print Network [OSTI]

that number by the index of the future month for which the price forecast is being determined. For example, if June Amarillo direct fed cattle prices averaged $64 per hun- dredweight (cwt.), the forecast for October would be $64 divided by 97.12, multiplied... by 99.04 = $65.27 per cwt. Adjusting for the vari- ability suggests that there is a 68 percent proba- bility that the October monthly average price would fall between $70.67 cwt. and $59.87 cwt. Seasonal Price Index for Amarillo Direct Fed Steers...

Davis, Ernest E.; Sartwelle III, James D.; Mintert, James R.

1999-09-21T23:59:59.000Z

412

,"Colorado Natural Gas Prices"  

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

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

413

Energy Prices, Tariffs, Taxes and Subsidies in Ukraine  

SciTech Connect (OSTI)

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

Evans, Meredydd

2007-04-01T23:59:59.000Z

414

CCPExecutiveSummary Collusive Price  

E-Print Network [OSTI]

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

Feigon, Brooke

415

Did geomagnetic activity challenge electric power reliability during solar cycle 23? Evidence from the PJM regional transmission  

E-Print Network [OSTI]

Did geomagnetic activity challenge electric power reliability during solar cycle 23? Evidence from through 30 April 2004. During this time period PJM coordinated the movement of wholesale electricity of challenged reliability is the incidence of out-of-economic-merit order dispatching due to adverse reactive

Schrijver, Karel

416

Trends in Utility Green Pricing Programs (2005)  

Broader source: Energy.gov [DOE]

This report presents year-end 2005 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities to benchmark the success of their green power programs. It is important to note that this report covers only a portion of voluntary markets for renewable energy. It does not cover green power sold by independent marketers except for cases in which the marketers work in conjunction with utilities or default electricity suppliers.

417

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

418

SCENARIO ANALYSES OF CALIFORNIA'S ELECTRICITY SYSTEM: PRELIMINARY  

E-Print Network [OSTI]

CALIFORNIA ENERGY COMMISSION SCENARIO ANALYSES OF CALIFORNIA'S ELECTRICITY SYSTEM: PRELIMINARY Bender Acting Deputy Director ELECTRICITY SUPPLY ANALYSIS DIVISION B. B. Blevins Executive Director.................................................................................................... 22 CHAPTER 3 - Natural Gas Market Clearing Price Implications of Reduced Consumption from the Power

419

An Equilibrium Pricing Model for Weather Derivatives in a Multi-commodity Setting  

E-Print Network [OSTI]

earnings in many industries. [Dutton, 2002] es- timates that one third of private industry activities, the wholesale electricity price in the US Midwest rose to $7000/MWh, causing the default of two East Coast electricity companies. At that time the normal price range was around $30 $60. In Texas during a three

Oren, Shmuel S.

420

Energy Prices and California's Economic  

E-Print Network [OSTI]

1 Energy Prices and California's Economic Security David RolandHolst October, 2009 on Energy Prices, Renewables, Efficiency, and Economic Growth: Scenarios and Forecasts, financial support drivers, the course of fossil fuel energy prices, energy efficiency trends, and renewable energy

Sadoulet, Elisabeth

Note: This page contains sample records for the topic "regional electricity prices" 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

Utility spot pricing, California  

E-Print Network [OSTI]

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

Schweppe, Fred C.

1982-01-01T23:59:59.000Z

422

Price-Responsive Load (PRL) Program - Framing Paper No.1  

SciTech Connect (OSTI)

By definition, effective and efficient competitive markets need a supply side and a demand side. One criticism of electric restructuring efforts in many states is that most of the attention has been focused on the supply side, in a market focused on the short term. In general, the demand side of the market has been under-addressed. The objective of the New England Demand Response Initiative (NEDRI) is to develop a comprehensive, coordinated set of demand response programs for the New England regional power markets. NEDRI aims to maximize the capability of demand response to compete in the wholesale market and to improve the economic efficiency and environmental profile of the electric sector. To those ends, NEDRI is focusing its efforts in four interrelated areas: (1) ISO-level reliability programs, (2) Market-based price-responsive load programs, (3) Demand response at retail through pricing, rate design, and advanced metering, and (4) End-use energy efficiency resources as demand response. The fourth area, energy efficiency, is the subject of this framing paper. Energy efficiency reduces the energy used by specific end-use devices and systems, typically without affecting the level of service and without loss of amenity. Energy savings and peak load reductions are achieved by substituting technically more advanced equipment, processes, or operational strategies to produce the same or an improved level of end-use service with less electricity. In contrast, load management programs lower peak demand during specific, limited time periods by either (1) influencing the timing of energy use by shifting load to another time period, or (2) reducing the level of energy use by curtailing or interrupting the load, typically with some loss of service or amenity.

Goldman, Charles A.

2002-03-01T23:59:59.000Z

423

Braess' Paradox in a simple electric power system  

E-Print Network [OSTI]

and pricing in the restructured electricity industry. Using a small-scale test network and assuming DC load lines in the system are upgraded. In these systems, locational prices (as currently used

Blumsack, Seth

424

Potential Electricity Impacts of a 1978 California Drought  

E-Print Network [OSTI]

PG&EGeneration by Fuel Type and Average Electricity Wet Yearand Average Electricity 1978 PG&E Generation Price. by FuelSales III Monthly Electricity Energy 77) PG&E ervice Area. S

Sathaye, J.

2011-01-01T23:59:59.000Z

425

Gasoline price data systems  

SciTech Connect (OSTI)

Timely observation on prices of gasoline at the wholesale and retail level by geographical area can serve several purposes: (1) to facilitate the monitoring of compliance with controls on distributor margins; (2) to indicate changes in the competitive structure of the distribution system; (3) to measure the incidence of changes in crude oil and refiner costs on retail prices by grade of gasoline, by type of retail outlet, and by geographic area; (4) to identify anomalies in the retail pricing structure that may create incentives for misfueling; and (5) to provide detailed time series data for use in evaluating conservation response to price changes. In order to provide the needed data for these purposes, the following detail on gasoline prices and characteristics of the sampling procedure appear to be appropriate: (1) monthly sample observations on wholesale and retail prices by gasoline grade and type of wholesale or retail dealer, together with volume weights; (2) sample size sufficient to provide detail by state and large cities; (3) responses to be tabulated and reports provided within 30 days after date of observation; and (4) a quick response sampling procedure that can provide weekly data, at least at the national level, when needed in time of rapidly changing prices. Price detail by state is suggested due to its significance for administrative purposes and since gasoline consumption data are estimated by state from other sources. Price detail for large cities are suggested in view of their relevancy as problem areas for vehicle emissions, reflecting one of the analytical uses of the data. In this report, current reporting systems and data on gasoline prices are reviewed and evaluated in terms of the needs outlined above. Recommendations are made for ways to fill the gaps in existing data systems to meet these needs.

Not Available

1980-05-01T23:59:59.000Z

426

Using Weather Derivatives to Improve the Efficiency of Forward Markets for Electricity*  

E-Print Network [OSTI]

for electricity. Even though this alternative will not reduce prices in the short run, it is more likely are high. Earlier research by Ethier (1999) and Ning (2001) has shown that price behavior in electricity, load response to high prices can be a powerful way to discipline a typical market for electricity

427

Managing Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach  

E-Print Network [OSTI]

, the price of which follows supply and demand imbalances. Electricity prices, which were tightly controlled that occurred in the Midwest during the week of June 22, 1998, when the day-ahead electricity price departedManaging Short-Term Electricity Contracts Under Uncertainty: A Minimax Approach Samer Takriti

Ahmed, Shabbir

428

Multi-factor jump-diffusion models of electricity Thilo MEYER-BRANDIS  

E-Print Network [OSTI]

features of electricity prices with a particular attention to the European energy ex- changes and develop a statistical procedure for estimat- ing the sum-OU model from data. Key Words: electricity prices is therefore necessary for energy risk management, pricing of electricity-related options and evaluation

429

The NordPool Market The spot and electricity forward relation  

E-Print Network [OSTI]

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

Pfeifer, Holger

430

Price forecasting for notebook computers.  

E-Print Network [OSTI]

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

Rutherford, Derek Paul

2012-01-01T23:59:59.000Z

431

Pricing of Service in Clouds: Optimal Response and Strategic Interactions  

E-Print Network [OSTI]

. INTRODUCTION Cloud providers and consumers encounter a variety of pric- ing models devised to disincentivize.g., a data center procuring power from an electric utility based on tiered [10] or peak-based [5] pricing (we and paying the data center rather than an electric utility for provisioned power [9]). Ta- ble 1 presents

Urgaonkar, Bhuvan

432

E-Print Network 3.0 - australasian region Sample Search Results  

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

electricity prices", Proceedings of the Australasian Universities Power... for transformer moisture assessment Proceedings of the Australasian Universities Power Engineering...

433

World Oil Price Cases (released in AEO2005)  

Reports and Publications (EIA)

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

2005-01-01T23:59:59.000Z

434

CCPExecutiveSummary Price low and  

E-Print Network [OSTI]

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

Feigon, Brooke

435

Revisiting the Long-Term Hedge Value of Wind Power in an Era of Low Natural Gas Prices  

E-Print Network [OSTI]

Downward Pressure on Natural Gas Prices? ” Energy Policy.Tensions at the Nexus of Natural Gas and Renewable Energy. ”Profiles of Renewable and Natural Gas Electricity Contracts:

Bolinger, Mark

2014-01-01T23:59:59.000Z

436

Fundamental Drivers of the Cost and Price of Operating Reserves  

SciTech Connect (OSTI)

Operating reserves impose a cost on the electric power system by forcing system operators to keep partially loaded spinning generators available for responding to system contingencies variable demand. In many regions of the United States, thermal power plants provide a large fraction of the operating reserve requirement. Alternative sources of operating reserves, such as demand response and energy storage, may provide more efficient sources of these reserves. However, to estimate the potential value of these services, the cost of reserve services under various grid conditions must first be established. This analysis used a commercial grid simulation tool to evaluate the cost and price of several operating reserve services, including spinning contingency reserves and upward regulation reserves. These reserve products were evaluated in a utility system in the western United States, considering different system flexibilities, renewable energy penetration, and other sensitivities. The analysis demonstrates that the price of operating reserves depend highly on many assumptions regarding the operational flexibility of the generation fleet, including ramp rates and the fraction of fleet available to provide reserves.

Hummon, M. R.; Denholm, P.; Jorgenson, J.; Palchak, D.; Kirby, B.; Ma, O.

2013-07-01T23:59:59.000Z

437

Multi-Factor Energy Price Models Exotic Derivatives Pricing  

E-Print Network [OSTI]

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

Jaimungal, Sebastian

438

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

E-Print Network [OSTI]

Linking Oil Prices, Gas Prices, Economy, Transport, and Land Use A Review of Empirical Findings Hongwei Dong, Ph.D. Candidate John D. Hunt, Professor John Gliebe, Assistant Professor #12;Framework Oil-run Short and Long-run #12;Topics covered by this presentation: Oil price and macro-economy Gas price

Bertini, Robert L.

439

Benchmarking Electricity Liberalisation in Europe  

E-Print Network [OSTI]

sources does the country’s electricity industry use? A country with a high proportion of hydro-electricity may not be exposed to fluctuations in the prices of fossil fuels, but is vulnerable to years with low precipitation. Historically, oil prices have... and for its competitive activities, and must charge the competitive businesses the same fees for using the network as it charges third parties. This is intended to prevent cross-subsidies between the network and the competitive activities. Management...

Green, Richard J; Lorenzoni, Arturo; Perez, Yannick; Pollitt, Michael G.

440

,"North Carolina Natural Gas Deliveries to Electric Power Consumers (MMcf)"  

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

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

Note: This page contains sample records for the topic "regional electricity prices" 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

The ethics of dynamic pricing  

SciTech Connect (OSTI)

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

Faruqui, Ahmad

2010-07-15T23:59:59.000Z

442

CANNED FI H RETAIL PRICE  

E-Print Network [OSTI]

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

443

Volume 30, Issue 2 Penalizing Consumers for Saving Electricity  

E-Print Network [OSTI]

, new entrant retailer Poweo introduced an innovative time-of-use tariff with discounted running charges electric utilities introduce pricing schemes to induce their customers to consume less electricity. When enhances understanding of why a typical electric utility may instead prefer to increase prices, in so doing

Boyer, Edmond

444

Space weather and the electricity market: An initial assessment  

E-Print Network [OSTI]

price (as established in the day ahead market) for wholesale electricity. Several econometric analyses Institute on the hypothesis that the wholesale price of electricity is affected by space weather conditionsSpace weather and the electricity market: An initial assessment Kevin F. Forbes Department

Schrijver, Karel

445

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis  

E-Print Network [OSTI]

Electricity Markets Meet the Home through Demand Response Lazaros Gkatzikis CERTH, University) programs motivate home users through dynamic pricing to shift electricity consumption from peak demand periods. In this paper, we introduce a day ahead electricity market where the operator sets the prices

446

Abstract--The capability to deal effectively with the uncer-tainty associated with locational marginal prices (LMPs) in con-  

E-Print Network [OSTI]

, standard market design, locational marginal prices, fixed/firm/financial transmission rights, transmission.S. electricity sector. The proposal uses locational marginal prices (LMPs) to identify congestion situations marginal prices (LMPs) in con- gestion management schemes requires the development of ap- propriate

447

Real Time Pricing and the Real Live Firm  

SciTech Connect (OSTI)

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

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

2004-05-26T23:59:59.000Z

448

Operation of Distributed Generation Under Stochastic Prices  

SciTech Connect (OSTI)

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

Siddiqui, Afzal S.; Marnay, Chris

2005-11-30T23:59:59.000Z

449

Power Politics: The Political Economy of Russia's Electricity Sector Liberalization  

E-Print Network [OSTI]

Electricity Sector in Russia: Regional Aspects " In Economics EducationElectricity Sector in Russia: Regional Aspects " in Economics Education

Wengle, Susanne Alice

2010-01-01T23:59:59.000Z

450

Examination of the Regional Supply and Demand Balance for Renewable Electricity in the United States through 2015: Projecting from 2009 through 2015 (Revised)  

SciTech Connect (OSTI)

This report examines the balance between the demand and supply of new renewable electricity in the United States on a regional basis through 2015. It expands on a 2007 NREL study that assessed the supply and demand balance on a national basis. As with the earlier study, this analysis relies on estimates of renewable energy supplies compared to demand for renewable energy generation needed to meet existing state renewable portfolio standard (RPS) policies in 28 states, as well as demand by consumers who voluntarily purchase renewable energy. However, it does not address demand by utilities that may procure cost-effective renewables through an integrated resource planning process or otherwise.

Bird, L.; Hurlbut, D.; Donohoo, P.; Cory, K.; Kreycik, C.

2010-06-01T23:59:59.000Z

451

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

E-Print Network [OSTI]

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

Kemper, Alfons

452

Fewer Prices than Zones Steven Stoft  

E-Print Network [OSTI]

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

California at Berkeley. University of

453

Lakeland Electric SGIG Consumer Behavior Study Interim (Year...  

Office of Environmental Management (EM)

efficiency and reduce electric consumption during peak times; Educating customers on pricing options, usage patterns, and peak times to enable them to make changes in consumption...

454

eGallon and Electric Vehicle Sales: The Big Picture  

Office of Energy Efficiency and Renewable Energy (EERE)

This month, we're updating eGallon prices and taking a look at how the U.S. electric vehicle market continues to strengthen.

455

ac electrical conductivity: Topics by E-print Network  

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

limits. The models are used to estimate the benefits of electricity locational marginal pricing (LMP) that arise from de Gispert, Adri 323 Fabrication of nanoelectrodes...

456

ac electric arc: Topics by E-print Network  

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

limits. The models are used to estimate the benefits of electricity locational marginal pricing (LMP) that arise from de Gispert, Adri 113 Fabrication of nanoelectrodes...

457

Using EPECs to model bilevel games in restructured electricity ...  

E-Print Network [OSTI]

We study a bilevel noncooperative game-theoretic model of restructured electricity markets, with loca- tional marginal prices. Each player in this game faces a ...

458

Using EPECs to model bilevel games in restructured electricity ...  

E-Print Network [OSTI]

Jan 5, 2006 ... Abstract: We study a bilevel noncooperative game-theoretic model of restructured electricity markets, with locational marginal prices.

Xinmin Hu

2006-01-05T23:59:59.000Z

459

Evaluation of evolving residential electricity tariffs  

SciTech Connect (OSTI)

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

460

MTBE, methanol prices rise  

SciTech Connect (OSTI)

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

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

1995-12-20T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

Electric power annual 1994. Volume 1  

SciTech Connect (OSTI)

The Electric Power Annual presents a summary of electric power industry statistics at national, regional, and State levels.

NONE

1995-07-21T23:59:59.000Z

462

Oil Prices and Terms of Trade.  

E-Print Network [OSTI]

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

Mirfacihi, Azar

2006-01-01T23:59:59.000Z

463

,"New Mexico Natural Gas Deliveries to Electric Power Consumers (MMcf)"  

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

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

464

Texas Farm Commodity Prices.  

E-Print Network [OSTI]

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

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

1948-01-01T23:59:59.000Z

465

Residential propane prices increase  

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

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

466

Diesel prices decrease  

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

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

467

Diesel prices decrease  

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

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

468

Diesel prices decrease  

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

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

469

Diesel prices flat  

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

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

470

280 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 2, MAY 2001 Discovering Price-Load Relationships in California's  

E-Print Network [OSTI]

280 IEEE TRANSACTIONS ON POWER SYSTEMS, VOL. 16, NO. 2, MAY 2001 Discovering Price-Load Relationships in California's Electricity Market Slobodan Vucetic, Kevin Tomsovic, and Zoran Obradovic Abstract--This paper reports on characterizing recent price behavior in the California electricity market. Market

Vucetic, Slobodan

471

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

E-Print Network [OSTI]

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

Powell, Warren B.

472

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

SciTech Connect (OSTI)

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

473

Modeling the choice to switch from fuelwood to electricity Implications for giant panda habitat conservation  

E-Print Network [OSTI]

was explained by demographic and electricity factors (price, voltage, and outage frequency). In addition, lowering electricity prices and increasing electricity quality would encourage local residents to switchANALYSIS Modeling the choice to switch from fuelwood to electricity Implications for giant panda

An, Li

474

Lurching towards markets for power: China's electricity policy 19852007 Xiaoli Zhao a,c,  

E-Print Network [OSTI]

tremendously. Meanwhile, the electricity price reform in 1996 promoted power generation corporations more that the electricity price reform in 2003 (and the dismantle reform at the end of 2002) affect electricity generationLurching towards markets for power: China's electricity policy 1985­2007 Xiaoli Zhao a,c, , Thomas

Lyon, Thomas P.

475

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market  

E-Print Network [OSTI]

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity MarketScience (www.interscience.wiley.com). Abstract: This paper addresses quantity risk in the electricity market-serving entity, which provides electricity service at a regulated price in electricity markets with price

Oren, Shmuel S.

476

Trends in Utility Green Pricing Programs (2004)  

SciTech Connect (OSTI)

In the early 1990s, only a handful of utilities offered their customers a choice of purchasing electricity generated from renewable energy sources. Today, nearly 600 utilities in regulated electricity markets--or almost 20% of all utilities nationally--provide their customers a "green power" option. Because some utilities offer programs in conjunction with cooperative associations or other publicly owned power entities, the number of distinct programs totals about 125. Through these programs, more than 40 million customers spanning 34 states have the ability to purchase renewable energy to meet some portion or all of their electricity needs--or make contributions to support the development of renewable energy resources. Typically, customers pay a premium above standard electricity rates for this service. This report presents year-end 2004 data on utility green pricing programs, and examines trends in consumer response and program implementation over time. The data in this report, which were obtained via a questionnaire distributed to utility green pricing program managers, can be used by utilities as benchmarks by which to gauge the success of their green power programs.

Bird, L.; Brown, E.

2005-10-01T23:59:59.000Z

477

Abstract--Load serving entities (LSE) and holders of default service obligations, in restructured electricity markets, provide  

E-Print Network [OSTI]

, in restructured electricity markets, provide electricity service at regulated or contracted fixed prices while standard forward contracts and commodity derivatives. Keywords: Electricity Markets, Risk Management, Volumetric hedging, I. INTRODUCTION The introduction of competitive wholesale markets in the electricity

Oren, Shmuel S.

478

Convergence Speed of GARCH Option Price to Diffusion Option Price  

E-Print Network [OSTI]

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

Chaudhuri, Sanjay

479

Convergence Speed of GARCH Option Price to Diffusion Option Price  

E-Print Network [OSTI]

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

Wang, Yazhen

480

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

E-Print Network [OSTI]

Price Reduction Offsetting demand for natural gas in the electricity sector by increasing wind energy’price reductions, and water savings. Index Terms—power system modeling, wind energywind energy to offset coal- and natural gas-based electricity generation analyzed here include decreased natural gas prices,

Hand, Maureen

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "regional electricity prices" 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

An Engineering Approach to Monitoring Market Power in Restructured Markets for Electricity  

E-Print Network [OSTI]

by resolving the dispatch using the optimal nodal prices as offers with no constraints on capacity. MarketAn Engineering Approach to Monitoring Market Power in Restructured Markets for Electricity C Abstract The high average prices and high volatility of prices in many restructured markets for electricity

482

Best Buys and Unit Pricing  

E-Print Network [OSTI]

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

Anding, Jenna

2000-02-02T23:59:59.000Z

483

Price forecasting for notebook computers  

E-Print Network [OSTI]

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

Rutherford, Derek Paul

2012-06-07T23:59:59.000Z

484

Pricing with uncertain customer valuations  

E-Print Network [OSTI]

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

2007-10-16T23:59:59.000Z

485

Assessment of Summer 1997 motor gasoline price increase  

SciTech Connect (OSTI)

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

NONE

1998-05-01T23:59:59.000Z

486

National Laboratory Dorene Price  

E-Print Network [OSTI]

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

487

National Laboratory Dorene Price  

E-Print Network [OSTI]

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

488

China, India demand cushions prices  

SciTech Connect (OSTI)

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

Boyle, M.

2006-11-15T23:59:59.000Z

489

CCPPolicyBriefing Resale Price  

E-Print Network [OSTI]

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

Feigon, Brooke

490

Risk Price Dynamics Jaroslav Borovicka  

E-Print Network [OSTI]

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

Hansen, Lars Peter

491

Modeling intraurban price competition: an example of gasoline pricing  

SciTech Connect (OSTI)

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

Haining, R.

1983-11-01T23:59:59.000Z

492

Visualizations for Real-time Pricing Demonstration  

SciTech Connect (OSTI)

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

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

2014-10-13T23:59:59.000Z

493

SO{sub 2} allowance prices: where have they been and where are they going?  

SciTech Connect (OSTI)

The article examines the US SO{sub 2} allowance prices after the Bush Administration announced its Clear Skies Initiative to reduce the emissions of SO{sub 2}, NOx and mercury from electric generating plants in February 2002. It concludes that high SO{sub 2} allowance prices are not sustainable. 3 figs.

Eyster, J.M.; Becker, S. [PA Consulting's Global Energy Practice, Washington, DC (US)

2005-05-01T23:59:59.000Z

494

Optimal Residential Load Control with Price Prediction in Real-Time  

E-Print Network [OSTI]

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

Mohsenian-Rad, Hamed

495

Cap-and-Trade Climate Policies with Price-Regulated Industries  

E-Print Network [OSTI]

of electricity production--comprising all 16,891 electric- ity generators in the contiguous U.S.--in a multi-and-trade allowance allocation designs in a model of the U.S. economy where price-regulated electric utilities generate 30% of total CO2 emissions. Our empir- ical model embeds a generator-level description

496

Cooperative Demand Response Using Repeated Game for Price-Anticipating Buildings in Smart Grid  

E-Print Network [OSTI]

Price-Anticipating Buildings in Smart Grid Kai Ma Guoqiangprice-anticipating buildings in smart grid. The cooperativebuilding electricity use, with application to demand response,” IEEE Transactions on Smart

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

2014-01-01T23:59:59.000Z

497

Pricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff  

E-Print Network [OSTI]

Pricing-Based Control of Large Networks Xiaojun Lin and Ness B. Shroff School of Electrical has the important implication that distance-independent pric- ing that is prevalent in current

Lin, Xiaojun

498

An intraseasonal price analysis for Texas fresh grapefruit  

E-Print Network [OSTI]

determining those factors which had the greatest influence on weekly and monthly Texas fresh F. O. B. shipping point grapefruit price. This equation was then used in developing a conditional allocative system for intraseasonal shipments which would maximize... shipments seemed to have more effect in determining Texas price than did shipments from any other producing region even though Texas produces only 16 percent of the grapefruit produced in the U. S. Similar equations run for Florida fresh grapefruit...

Smith, E. G

1975-01-01T23:59:59.000Z

499

Did English generators play cournot? : capacity withholding in the electricity pool  

E-Print Network [OSTI]

Electricity generators can raise the price of power by withholding their plant from the market. We discuss two ways in which this could have affected prices in the England and Wales Pool. Withholding low-cost capacity which ...

Green, Richard

2004-01-01T23:59:59.000Z

500

The Effects of Electricity Tariff Structure on Distributed Generation Adoption in New York State  

E-Print Network [OSTI]

volumetric price, TOU – time of use tariff: volumetric priceService, Time of Use Rates parent tariff Jan 03 Customertime of use United States Environmental Protection Agency xv The Effects of Electricity Tariff

Firestone, Ryan; Marnay, Chris

2005-01-01T23:59:59.000Z