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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

Dynamic interactions between electricity prices and the regional economy  

E-Print Network (OSTI)

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

Bethapudi, Daniel Naveen

2003-05-01T23:59:59.000Z

2

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

Open Energy Info (EERE)

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

3

Wholesale electricity price changes diverge across regions during ...  

U.S. Energy Information Administration (EIA)

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

4

Competitive Electricity Prices: An Update  

Reports and Publications (EIA)

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

J Alan Beamon

1998-07-06T23:59:59.000Z

5

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

DOE Green Energy (OSTI)

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

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

2012-12-01T23:59:59.000Z

6

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

7

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

8

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

Science Conference Proceedings (OSTI)

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

2010-11-12T23:59:59.000Z

9

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

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

10

High Electricity Prices  

E-Print Network (OSTI)

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

Kevin Counsell; Graeme Guthrie; Steen Videbeck

2006-01-01T23:59:59.000Z

11

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

E-Print Network (OSTI)

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

Kolstad, Jonathan; Wolak, Frank

2003-01-01T23:59:59.000Z

12

Natural Gas Electric Power Price  

U.S. Energy Information Administration (EIA)

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

13

Pricing of electricity in Indonesia  

SciTech Connect

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

Amarullah, M.

1983-01-01T23:59:59.000Z

14

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

15

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

16

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

One of the first places where consumers are feeling the impact of One of the first places where consumers are feeling the impact of this winter's market pressures is in home heating oil prices. This chart shows prices through February 28, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of heating oil

17

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Slide 2 of 11 Notes: One of the first places where consumers are feeling the impact of this winterÂ’s market pressures is in home heating oil prices. This chart shows prices through February 7, the most recent EIA data available. The general level of heating oil prices each year is largely a function of crude oil prices, and the price range over the course of the heating season is typically about 10 cents per gallon. Exceptions occur in unusual circumstances, such as very cold weather, large changes in crude oil prices, or supply problems. Heating oil prices for East Coast consumers started this winter at just over $1 per gallon, but rising crude oil prices drove them up nearly 21 cents per gallon through mid-January. With the continuing upward pressure from crude oil markets, magnified by a regional shortfall of

18

Electricity Prices in a Competitive Environment: Marginal Cost Pricing  

Reports and Publications (EIA)

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

Information Center

1997-08-01T23:59:59.000Z

19

Thinking Strategically About Electricity Pricing  

Science Conference Proceedings (OSTI)

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

1992-12-01T23:59:59.000Z

20

Consumer price index revision electricity workbook  

Science Conference Proceedings (OSTI)

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

NONE

1997-08-01T23:59:59.000Z

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

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

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

Siddiqui, Afzal S.

2003-01-01T23:59:59.000Z

22

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

23

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

24

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

25

Dynamic Pricing and Learning in Electricity Markets  

Science Conference Proceedings (OSTI)

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

Alfredo Garcia; Enrique Campos-Nañez; James Reitzes

2005-03-01T23:59:59.000Z

26

STAFF FORECAST: AVERAGE RETAIL ELECTRICITY PRICES  

E-Print Network (OSTI)

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

27

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

U.S. Energy Information Administration (EIA)

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

28

Electricity market clearing price forecasting under a deregulated electricity market .  

E-Print Network (OSTI)

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

Yan, Xing

2009-01-01T23:59:59.000Z

29

October 2009Rethinking Real Time Electricity Pricing  

E-Print Network (OSTI)

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the …rst program to expose residential consumers to hourly real time pricing (RTP). I …nd that enrolled households are statistically signi…cantly price elastic and that consumers responded by conserving energy during peak hours, but remarkably did not increase average consumption during o¤-peak times. Welfare analysis suggests that program households were not su ¢ ciently price elastic to generate e ¢ ciency gains that substantially outweigh the estimated costs of the advanced electricity meters required to observe hourly consumption. Although in electricity pricing, congestion pricing, and many other settings, economists’intuition is that prices should be aligned with marginal costs, residential RTP may provide an important real-world example of a situation where this is not currently welfare-enhancing given contracting or information costs.

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

2009-01-01T23:59:59.000Z

30

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

U.S. Energy Information Administration (EIA)

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

31

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

U.S. Energy Information Administration (EIA)

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

32

Table A44. Average Prices of Purchased Electricity and Steam  

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

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

33

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

34

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

35

Electricity Market Design and Price Manipulation  

E-Print Network (OSTI)

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

William W. Hogan; William W. Hogan I

2012-01-01T23:59:59.000Z

36

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

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

Herter, Karen

2006-01-01T23:59:59.000Z

37

Essays on pricing electricity and electricity derivatives in deregulated markets.  

E-Print Network (OSTI)

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

Popova, Julia.

2008-01-01T23:59:59.000Z

38

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

U.S. Energy Information Administration (EIA)

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

39

Intraclass Price Elasticity & Electric Rate Design  

E-Print Network (OSTI)

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

Gresham, K. E.

1987-09-01T23:59:59.000Z

40

Price of electricity tracks cost of living  

SciTech Connect

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

Not Available

1980-09-01T23:59:59.000Z

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

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

E-Print Network (OSTI)

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

Oren, Shmuel S.

42

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

Science Conference Proceedings (OSTI)

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

Pascal Michaillat; Shmuel Oren

2007-01-01T23:59:59.000Z

43

The Pricing of Electricity to Aluminum Smelters in the Northwest  

E-Print Network (OSTI)

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

Foley, T. J.

1986-06-01T23:59:59.000Z

44

Rethinking Real-Time Electricity Pricing  

E-Print Network (OSTI)

Most US consumers are charged a near-constant retail price for electricity, despite substantial hourly variation in the wholesale market price. This paper evaluates the …rst program to expose residential consumers to hourly real-time pricing (RTP). I …nd that enrolled households are statistically signi…cantly price elastic and that consumers responded by conserving energy during peak hours, but remarkably did not increase average consumption during o¤-peak times. The program increased consumer surplus by $10 per household per year. While this is only one to two percent of electricity costs, it illustrates a potential additional bene…t from investment in retail Smart Grid applications, including the advanced electricity meters required to observe a household’s hourly consumption.

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

2010-01-01T23:59:59.000Z

45

A Threshold Autoregressive Model for Wholesale Electricity Prices  

E-Print Network (OSTI)

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

46

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

47

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

E-Print Network (OSTI)

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

48

Integration of fluctuating energy by electricity price control  

E-Print Network (OSTI)

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

49

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

U.S. Energy Information Administration (EIA)

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

50

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

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

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

51

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

U.S. Energy Information Administration (EIA)

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

52

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

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

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

53

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

U.S. Energy Information Administration (EIA)

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

54

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

55

Wealth Transfers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network (OSTI)

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

Borenstein, Severin

2005-01-01T23:59:59.000Z

56

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

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

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

57

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

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

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

58

Revised 1997 Retail Electricity Price Forecast Principal Author: Ben Arikawa  

E-Print Network (OSTI)

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

59

Price Elasticity of Demand for Electricity: A Primer and Synthesis  

Science Conference Proceedings (OSTI)

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

2008-01-17T23:59:59.000Z

60

Properties of Electricity Prices and the Drivers of Interconnector Revenue  

E-Print Network (OSTI)

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

Parail, Vladimir

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

The price of electricity from private power producers  

Science Conference Proceedings (OSTI)

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

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

1993-10-01T23:59:59.000Z

62

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

E-Print Network (OSTI)

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

Lucia, Julio J.; Schwartz, Eduardo

2000-01-01T23:59:59.000Z

63

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

E-Print Network (OSTI)

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

2005-01-01T23:59:59.000Z

64

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

65

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

66

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

E-Print Network (OSTI)

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

67

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

68

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

U.S. Energy Information Administration (EIA)

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

69

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

70

Optimal Production Planning under Time-sensitive Electricity Prices for  

E-Print Network (OSTI)

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

Grossmann, Ignacio E.

71

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

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

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

72

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

U.S. Energy Information Administration (EIA)

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

73

Price Electric Coop Inc | Open Energy Information  

Open Energy Info (EERE)

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

74

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

Science Conference Proceedings (OSTI)

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

Shin, J.S.

1983-01-01T23:59:59.000Z

75

Price Responsive Demand in New York Wholesale Electricity Market using  

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

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

76

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

SciTech Connect

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

1994-04-07T23:59:59.000Z

77

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

E-Print Network (OSTI)

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

2004-01-01T23:59:59.000Z

78

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

Science Conference Proceedings (OSTI)

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

2001-11-30T23:59:59.000Z

79

1 The Price Elasticity of Supply of Renewable Electricity Generation  

E-Print Network (OSTI)

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

Erik Johnson; Erik Johnson

2010-01-01T23:59:59.000Z

80

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

U.S. Energy Information Administration (EIA)

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

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

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

Gasoline and Diesel Fuel Update (EIA)

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

82

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

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

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

83

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

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

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

84

Price-elastic demand in deregulated electricity markets  

SciTech Connect

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

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

85

Price-elastic demand in deregulated electricity markets  

SciTech Connect

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

Siddiqui, Afzal S.

2003-05-01T23:59:59.000Z

86

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

E-Print Network (OSTI)

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

87

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

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

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

88

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

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

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

89

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

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

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

90

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

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

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

91

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

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

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

92

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

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

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

93

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

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

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

94

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

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

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

95

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

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

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

96

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

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

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

97

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

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

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

98

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

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

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

99

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

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

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

100

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

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

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

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

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

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

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

102

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

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

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

103

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

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

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

104

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

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

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

105

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

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

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

106

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

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

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

107

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

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

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

108

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

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

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

109

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

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

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

110

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

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

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

111

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

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

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

112

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

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

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

113

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

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

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

114

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

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

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

115

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

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

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

116

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

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

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

117

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

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

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

118

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

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

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

119

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

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

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

120

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

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

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

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

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

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

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

122

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

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

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

123

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

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

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

124

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

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

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

125

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

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

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

126

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

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

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

127

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

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

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

128

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

U.S. Energy Information Administration (EIA)

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

129

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

Open Energy Info (EERE)

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

130

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

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

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

131

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

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

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

132

Natural Gas Electric Power Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

133

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

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

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

134

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

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

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

135

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

Annual Energy Outlook 2012 (EIA)

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

136

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

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

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

137

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

Science Conference Proceedings (OSTI)

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

2004-12-15T23:59:59.000Z

138

Competition and Prices on the Emerging Nordic Electricity Market  

E-Print Network (OSTI)

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

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

1998-01-01T23:59:59.000Z

139

Update On The Wholesale Electricity Price Forecast & Modeling Results  

E-Print Network (OSTI)

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

140

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

SciTech Connect

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

Brand, Stefanie A.

2010-07-15T23:59:59.000Z

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

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

E-Print Network (OSTI)

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

Mathieu, Johanna L.

2012-01-01T23:59:59.000Z

142

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

E-Print Network (OSTI)

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

2005-01-01T23:59:59.000Z

143

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

E-Print Network (OSTI)

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

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

144

Electricity Price Curve Modeling and Forecasting by Manifold Learning  

E-Print Network (OSTI)

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

Jie Chen; Shi-Jie Deng; Xiaoming Huo

2008-01-01T23:59:59.000Z

145

Modeling regional end user price/cost relationships in a widespread interconnected power system  

SciTech Connect

A combined programming and regression modeling approach is developed to analyze regional retail price/cost relationships for a widespread interconnected power system characterized by low population density and uniform (regulated) retail tariffs. The programming model is designed to calculate on the hour the delivered cost of electricity from 5 thermal power stations and one pumped storage hydrostation to end users in 8 distribution regions. A simultaneous equation regression model then analyses the link between retail prices charged end users, regional demand and supply characteristics, industry financial objectives and departures from economically efficient pricing. The electricity supply industry in Queensland Australia is used as a framework.

Tamaschke, R.; Docwra, G.; Stillman, R. [Univ. of Queensland, Brisbane, Queensland (Australia)

1995-11-01T23:59:59.000Z

146

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

147

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

Science Conference Proceedings (OSTI)

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

Albert Banal-Estaòol; Augusto Rupérez Micola

2009-11-01T23:59:59.000Z

148

A Tracing Method for Pricing Inter-Area Electricity Trades  

E-Print Network (OSTI)

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

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

2004-06-16T23:59:59.000Z

149

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

E-Print Network (OSTI)

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

150

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

E-Print Network (OSTI)

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

Wiser, Ryan

2005-01-01T23:59:59.000Z

151

Expected annual electricity bill savings for various PPA price options |  

Open Energy Info (EERE)

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

152

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

E-Print Network (OSTI)

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

2005-01-01T23:59:59.000Z

153

Fossil Fuel Prices to Electric Utilities  

U.S. Energy Information Administration (EIA)

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

154

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

U.S. Energy Information Administration (EIA)

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

155

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

156

RDI forecasts oil price increase impact on electric consumers  

SciTech Connect

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

Not Available

1990-10-25T23:59:59.000Z

157

Energy Department Releases Updated eGallon Prices as Electric...  

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

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

158

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

U.S. Energy Information Administration (EIA)

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

159

Residential Response to Critical Peak Pricing of Electricity  

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

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

160

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

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

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

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

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

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

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

162

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

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

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

163

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

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

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

164

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

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

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

165

Transmission Pricing Issues for Electricity Generation From Renewable Resources  

Reports and Publications (EIA)

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

Information Center

1999-02-01T23:59:59.000Z

166

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

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

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

167

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

Science Conference Proceedings (OSTI)

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

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

2008-05-01T23:59:59.000Z

168

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

E-Print Network (OSTI)

When prices are set properly, they serve as important signals to guide customers to consume the efficient quantity of a good. However, in electricity markets many consumers do not pay prices that reflect the scarcity of power. The true social cost of power varies throughout a typical day; power is usually low cost during off-peak periods in the night but it is high cost during a hot July afternoon. Economists have argued for several decades that consumers should pay a price that varies with the true social cost of power. However, the vast majority of consumers pay a fixed price whether they use power at midnight or noon. This can create a host of economic inefficiencies. Fortunately, this is beginning to change. In many states, including Texas, large commercial and industrial users of electricity pay prices that reflect the social cost of power at the time of consumption. This pricing mechanism is called “real-time pricing” (RTP) in electricity markets. I have access to a unique, new dataset of virtually all 8000 commercial and industrial users in Texas that includes information on both whether they pay real-time prices and their hourly consumption for one year. First, I econometrically iv estimate the types of commercial and industrial firms that are likely to “sign up” for time-varying prices. Second, I test whether the customers on real-time prices reduce demand substantially in response to higher prices. I find that customers with greater total hourly consumption are more likely to be on real-time pricing. Customers with more „peaky? load profiles are less likely to be on real-time pricing. Customers in south and west Texas have a greater probability of being on RTP than customers in Houston. I also study whether customers on RTP decrease consumption on hot summer days when electricity is scare. These results have important implications for the design of both deregulated electricity markets and policies that seek to increase the amount of electricity generated with renewable sources of energy.

Fontana, Michelle

2011-05-01T23:59:59.000Z

169

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

California California Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 92, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released August 10th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO California EIA Electric Power projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / California- Reference Case (xls, 259.5 KiB)

170

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

Southwest Southwest Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 91, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Southwest WECC Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / Southwest- Reference Case (xls, 259.1 KiB)

171

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

Northwest Power Pool Area Northwest Power Pool Area Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 93, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Northwest Power Pool Area projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / Northwest Power Pool Area (xls, 259.1 KiB)

172

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

Rockies Rockies Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 94, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Rockies Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Western Electricity Coordinating Council / Rockies- Reference Case (xls, 258.8 KiB)

173

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

E-Print Network (OSTI)

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

Torbaghan, Shahab Shariat

2010-01-01T23:59:59.000Z

174

Geothermal Power: Meeting the Challenge of Electric Price Stabilization in  

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

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

175

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

E-Print Network (OSTI)

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

Wiser, Ryan

2005-01-01T23:59:59.000Z

176

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

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

Afanador Delgado, Catalina

2006-08-01T23:59:59.000Z

177

A study on real-time pricing electric tariffs  

Science Conference Proceedings (OSTI)

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

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

1999-10-01T23:59:59.000Z

178

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

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

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

179

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

Science Conference Proceedings (OSTI)

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

2000-12-07T23:59:59.000Z

180

Joint Modelling of Gas and Electricity spot prices  

E-Print Network (OSTI)

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

Frikha, Noufel

2009-01-01T23:59:59.000Z

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

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

U.S. Energy Information Administration (EIA)

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

182

Lake Region Electric Cooperative - Residential Energy Efficiency...  

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

Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Eligibility Residential...

184

AEO2011: Coal Production and Minemouth Prices by Region This...  

Open Energy Info (EERE)

and Minemouth Prices by Region This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is...

185

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

E-Print Network (OSTI)

facilities that receive electricity service from Niagaraperiods is your facility’s electricity use highest? ( CHECKthe next day’s hourly electricity prices? ( CHECK ONLY ONE )

2005-01-01T23:59:59.000Z

186

Electricity pricing for conservation and load shifting  

Science Conference Proceedings (OSTI)

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

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

2010-04-15T23:59:59.000Z

187

Price squeezes in electric power: The new Battle of Concord  

SciTech Connect

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

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

1992-06-01T23:59:59.000Z

188

Natural Gas Citygate Price  

Gasoline and Diesel Fuel Update (EIA)

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

189

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

E-Print Network (OSTI)

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

Letzler, Robert

2007-01-01T23:59:59.000Z

190

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.

191

Bilevel optimization applied to strategic pricing in competitive electricity markets  

Science Conference Proceedings (OSTI)

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

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

2008-03-01T23:59:59.000Z

192

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

193

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

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

Severin Borenstein

2008-01-01T23:59:59.000Z

194

Pricing Carbon for Electricity Generation: National and International Dimensions  

E-Print Network (OSTI)

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

Grubb, Michael; Newbery, David

195

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

E-Print Network (OSTI)

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

Zareipour, Hamidreza

2006-01-01T23:59:59.000Z

196

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

U.S. Energy Information Administration (EIA)

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

197

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

SciTech Connect

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

1997-08-01T23:59:59.000Z

198

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

E-Print Network (OSTI)

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

2004-01-01T23:59:59.000Z

199

International Coal Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

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

200

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

E-Print Network (OSTI)

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

Wiser, Ryan

2005-01-01T23:59:59.000Z

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

Average regional end-use energy price projections to the year 2030  

Science Conference Proceedings (OSTI)

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration's (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-01-01T23:59:59.000Z

202

Average regional end-use energy price projections to the year 2030  

SciTech Connect

The energy prices shown in this report cover the period from 1991 through 2030. These prices reflect sector/fuel price projections from the Annual Energy Outlook 1991 (AEO) base case, developed using the Energy Information Administration`s (EIA) Intermediate Future Forecasting System (IFFS) forecasting model. Projections through 2010 are AEO base case forecasts. Projections for the period from 2011 through 2030 were developed separately from the AEO for this report, and the basis for these projections is described in Chapter 3. Projections in this report include average energy prices for each of four Census Regions for the residential, commercial, industrial, and transportation end-use sectors. Energy sources include electricity, distillate fuel oil, liquefied petroleum gas, motor gasoline, residual fuel oil, natural gas, and steam coal. (VC)

Not Available

1991-12-31T23:59:59.000Z

203

Changes in energy markets reduce regional effects of energy price movements  

Science Conference Proceedings (OSTI)

Changes in energy prices are having more equal effects on the residents of different regions than previously as consumption patterns adjust to natural gas deregulation and higher energy costs. Regions with a higher proportion of energy use, such as New England, have dropped their per capita consumption rates and have changed their mix of fuels. The extent of fuel switching becomes more apparent if electricity consumption is apportioned to the fuel used to generate power. Comparisons between the New England, East North Central, and West North Central regions show a decline in oil consumption for each and an increase in electricity use. 2 figures.

Schmidt, R.H.; Dunstan, R.H.

1985-04-01T23:59:59.000Z

204

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

Science Conference Proceedings (OSTI)

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

João Catalão; Sílvio Mariano; Victor Mendes; Luís Ferreira

2005-06-01T23:59:59.000Z

205

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

Science Conference Proceedings (OSTI)

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

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

2010-06-01T23:59:59.000Z

206

Day-ahead electricity price forecasting by a new hybrid method  

Science Conference Proceedings (OSTI)

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

Jinliang Zhang; Zhongfu Tan; Shuxia Yang

2012-11-01T23:59:59.000Z

207

Price impacts of electric-utility DSM programs  

Science Conference Proceedings (OSTI)

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

Hirst, E.; Hadley, S.

1994-11-01T23:59:59.000Z

208

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

E-Print Network (OSTI)

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

Xiao, Yuewen

2012-01-01T23:59:59.000Z

209

Estimating the Customer-Level Demand for Electricity Under Real-Time Market Prices  

E-Print Network (OSTI)

This paper presents estimates of the customer-level demand for electricity by industrial and commercial customers purchasing electricity according to the half-hourly energy prices from the England and Wales (E&W) electricity market. These customers also face the possibility of a demand charge on its electricity consumption during the three half-hour periods that are coincident with E&W system peaks. Although energy charges are largely known by 4 PM the day prior to consumption, a fraction of the energy charge and the identity of the half-hour periods when demand charges occur are only known with certainty ex post of consumption. Four years of data from a Regional Electricity Company (REC) in the United Kingdom is used to quantify the half-hourly customer-level demands under this real-time pricing program. The econometric model developed and estimated here quantifies the extent of intertemporal substitution in electricity consumption across pricing periods within the day due to changes ...

Robert H. Patrick; Frank A. Wolak

1997-01-01T23:59:59.000Z

210

Table C5. Residential Propane Prices by Region and State ...  

U.S. Energy Information Administration (EIA)

Table C5. Residential Propane Prices by Region and State (Cents per Gallon) ... New York 141.9 145.6 146.4 150.4 153.7 162.1 164.5 168.1 169.0 190.2 ...

211

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

Science Conference Proceedings (OSTI)

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

Cramton, Peter; Stoft, Steven

2007-01-15T23:59:59.000Z

212

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

E-Print Network (OSTI)

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

213

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

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

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

214

Measuring and Explaining Electricity Price Changes in Restructured States  

Science Conference Proceedings (OSTI)

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

Fagan, Mark L.

2006-06-15T23:59:59.000Z

215

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

216

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 88, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Carolina EIA Electric power projections Virginia Data application/vnd.ms-excel icon ASEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Virginia-Carolina- Reference Case (xls, 259.3 KiB)

217

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

E-Print Network (OSTI)

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

2004-01-01T23:59:59.000Z

218

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

E-Print Network (OSTI)

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

2004-01-01T23:59:59.000Z

219

Figure 6. Electricity Market Model Supply Regions  

E-Print Network (OSTI)

The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2010, DOE/EIA-M068(2010). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described.

unknown authors

2010-01-01T23:59:59.000Z

220

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

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

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

U.S. Energy Information Administration (EIA)

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

222

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

E-Print Network (OSTI)

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

Ganjbakhsh, Omid.

2008-01-01T23:59:59.000Z

223

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.

Information Center

1998-07-15T23:59:59.000Z

224

Regional Differences in the Price-Elasticity of Demand for Energy  

DOE Green Energy (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

225

Residential passive solar systems: regional sensitivity to system performance costs, and alternative prices  

DOE Green Energy (OSTI)

The economic potential of two passive space heating configurations are analyzed. These are a masonry thermal storage wall (Trombe) and a direct gain system - both with night insulation. A standard tract home design for each of the two passive systems is being used throughout the analysis to allow interregional comparisons. The economic performance of these two systems is evaluated on a regional basis (223 locations) throughout the United States. For each of the two conventional energy types considered (electricity and natural gas), sensitivity analysis is conducted to determine the impact of alternative fuel price escalation rates and solar costs upon feasibility of the two solar systems. Cost goals for solar system prices are established under one set of future fuel prices and stated economic conditions. (MOW)

Kirschner, C.; Ben-David, S.; Roach, F.

1979-01-01T23:59:59.000Z

226

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

E-Print Network (OSTI)

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

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

227

The impact of electricity pricing schemes on storage adoption in Ontario  

Science Conference Proceedings (OSTI)

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

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

2012-05-01T23:59:59.000Z

228

Short-Term Energy Outlook Model Documentation: Regional Residential Heating Oil Price Model  

Reports and Publications (EIA)

The regional residential heating oil price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

229

Short-Term Energy Outlook Model Documentation: Regional Residential Propane Price Model  

Reports and Publications (EIA)

The regional residential propane price module of the Short-Term Energy Outlook (STEO) model is designed to provide residential retail price forecasts for the 4 census regions: Northeast, South, Midwest, and West.

Information Center

2009-11-09T23:59:59.000Z

230

Lake Region Electric Cooperative - Commercial Energy Efficiency...  

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

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

231

Heavy Fuel Oil Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

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

232

The Role of Electricity Pricing Policy in Industrial Siting Decisions  

E-Print Network (OSTI)

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

Tam, C. S.

1981-01-01T23:59:59.000Z

233

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

234

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

E-Print Network (OSTI)

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

Feigon, Brooke

235

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

Science Conference Proceedings (OSTI)

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

Shi-Jie Deng; Wenjiang Jiang

2005-10-01T23:59:59.000Z

236

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

Science Conference Proceedings (OSTI)

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

237

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

238

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

E-Print Network (OSTI)

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

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

239

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

E-Print Network (OSTI)

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

Baek, Youngsun

2011-01-01T23:59:59.000Z

240

The Price of Electricity from Private Power Producers  

E-Print Network (OSTI)

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

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

Price risk management: Electric power vs. natural gas  

Science Conference Proceedings (OSTI)

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

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

1996-02-01T23:59:59.000Z

242

Figure F2. Electricity market module regions  

U.S. Energy Information Administration (EIA)

U.S. Energy Information Administration Annual Energy Outlook 2013 227 Regional maps Figure F2. Electricity market module regions Source: U.S. Energy Information ...

243

Natural Gas Citygate Price  

Annual Energy Outlook 2012 (EIA)

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

244

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

SciTech Connect

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

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

1983-09-15T23:59:59.000Z

245

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

SciTech Connect

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

Kuester, K.A.

1986-01-01T23:59:59.000Z

246

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

Reports and Publications (EIA)

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

Information Center

1998-02-01T23:59:59.000Z

247

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

E-Print Network (OSTI)

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

Wiser, Ryan

2005-01-01T23:59:59.000Z

248

AEO2011: Electric Power Projections for EMM Region - Texas Regional...  

Open Energy Info (EERE)

end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
2011-08-08T14:57:52Z 2011-08-16T23:43:11Z http:www.eia.gov...

249

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

Science Conference Proceedings (OSTI)

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

Hill, L.J.

1990-12-01T23:59:59.000Z

250

Regional Comparisons, Spatial Aggregation, and Asymmetry of Price Pass-Through  

Reports and Publications (EIA)

Spot to retail price pass-through behavior of the U.S. gasoline market was investigated at the national and regional levels, using weekly wholesale and retail motor gasoline prices from January 2000 to the present.

John Zyren

2005-08-03T23:59:59.000Z

251

AEO2011: Electric Power Projections for EMM Region - Texas Regional Entity  

Open Energy Info (EERE)

Texas Regional Entity Texas Regional Entity Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 73, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Texas Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Texas Regional Entity - Reference Case (xls, 259.4 KiB)

252

Term Energy The Implications of Lower Natural Gas Prices ...  

U.S. Energy Information Administration (EIA)

... by about 2.1 billion cubic feet per ... national average delivered coal price was $ ... the regional average delivered coal price to electric ...

253

Table 15. Average Electricity Prices, Projected vs. Actual  

Gasoline and Diesel Fuel Update (EIA)

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

254

Regional Residential Heating Oil Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

One of the first places where consumers are feeling the impact of this winter’s market pressures is in home heating oil prices. This chart shows prices through ...

255

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

E-Print Network (OSTI)

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

Steven L. Puller; Jeremy West

2013-01-01T23:59:59.000Z

256

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

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

Herter, Karen

2006-01-01T23:59:59.000Z

257

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

Science Conference Proceedings (OSTI)

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

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

1995-12-31T23:59:59.000Z

258

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

Science Conference Proceedings (OSTI)

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

Nima Amjady; Farshid Keynia

2010-06-01T23:59:59.000Z

259

USLCI Interconnect Region Electricity datasets, 2008 Datasets...  

Open Energy Info (EERE)

spreadsheet are also included.

Datasets include generation and transmission of electricity for each of the interconnect regions.  It is representative of the year...

260

Lake Region Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

Cooperative Jump to: navigation, search Name Lake Region Electric Cooperative Place Minnesota Utility Id 10618 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes...

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

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

U.S. Energy Information Administration (EIA)

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

262

Natural Gas Electric Power Price - Energy Information Administration  

U.S. Energy Information Administration (EIA)

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

263

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

264

Price and volatility relationships in the Australian electricity market.  

E-Print Network (OSTI)

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

Higgs, Helen

2006-01-01T23:59:59.000Z

265

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

U.S. Energy Information Administration (EIA)

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

266

AEO2011: Electric Power Projections for EMM Region - Southwest...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

267

AEO2011: Electric Power Projections for EMM Region - Reliability...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

268

AEO2011: Electric Power Projections for EMM Region - Western...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

269

AEO2011: Electric Power Projections for EMM Region - Northeast...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

270

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

271

AEO2011: Electric Power Projections for EMM Region - Midwest...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

272

AEO2011: Electric Power Projections for EMM Region - Florida...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

273

AEO2011: Electric Power Projections for EMM Region - United States...  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

274

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category.
...

275

AEO2011: Electric Power Projections for EMM Region - Northeast Power  

Open Energy Info (EERE)

NYC-Westchester NYC-Westchester Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 78, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Northeast projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Northeast Power Coordinating Council / NYC-Westchester - Reference Case (xls, 259.2 KiB)

276

AEO2011: Electric Power Projections for EMM Region - Florida Reliability  

Open Energy Info (EERE)

Florida Reliability Florida Reliability Coordinating Council Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 74, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Florida projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Florida Reliability Coordinating Council- Reference Case (xls, 259.3 KiB)

277

AEO2011: Electric Power Projections for EMM Region - Reliability First  

Open Energy Info (EERE)

Reliability First Reliability First Corporation / West Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 83, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Reliability First Corporation / West- Reference Case (xls, 259.5 KiB)

278

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

Gateway Gateway Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 85, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projection Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Gateway - Reference Case (xls, 259 KiB)

279

AEO2011: Electric Power Projections for EMM Region - Midwest Reliability  

Open Energy Info (EERE)

West West Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 76, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power midwest projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Midwest Reliability Council / West- Reference Case (xls, 259.1 KiB)

280

AEO2011: Electric Power Projections for EMM Region - Midwest Reliability  

Open Energy Info (EERE)

East East Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 75, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEIO EIA Electric Power projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Midwest Reliability Council / East - Reference Case (xls, 258.6 KiB) Quality Metrics

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

AEO2011: Electric Power Projections for EMM Region - Reliability First  

Open Energy Info (EERE)

9643 9643 Varnish cache server AEO2011: Electric Power Projections for EMM Region - Reliability First Corporation / Michigan Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 82, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Michigan projections Data Quality Metrics Level of Review Peer Reviewed

282

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

Southeastern Southeastern Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 86, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Southeastern- Reference Case (xls, 259.3 KiB)

283

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

Central Central Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 87, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO central EIA Electric power projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - SERC Reliability Corporation / Central- Reference Case (xls, 259.1 KiB)

284

AEO2011: Electric Power Projections for EMM Region - Northeast Power  

Open Energy Info (EERE)

Northeast Northeast Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 77, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Northeast projections Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Northeast Power Coordinating Council / Northeast- Reference Case (xls, 259.2 KiB)

285

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

SciTech Connect

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

Morton, W.A.

1976-03-25T23:59:59.000Z

286

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

287

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

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

Herter, Karen

2006-01-01T23:59:59.000Z

288

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

289

Price-elastic demand in deregulated electricity markets  

E-Print Network (OSTI)

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

Siddiqui, Afzal S.

2003-01-01T23:59:59.000Z

290

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

291

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

E-Print Network (OSTI)

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

Severin Borenstein; Stephen P. Holland

2003-01-01T23:59:59.000Z

292

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

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

Carmona, Rene

293

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

294

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

Science Conference Proceedings (OSTI)

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

Farshid Keynia

2012-12-01T23:59:59.000Z

295

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

E-Print Network (OSTI)

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

296

The impact of regional energy-price differentials on manufacturing employment in the United States  

Science Conference Proceedings (OSTI)

This study is an econometric analysis of the role of industrial energy prices in the location of manufacturing employment in the United States. Historical electricity and natural gas prices are analyzed for the nine US Census divisions. Econometric regression equations are used to show the role of electricity and natural gas prices in the location of output and in labor demand for SIC sectors 22 (textiles), 28 (chemicals), and 35 (nonelectrical machinery) in each Census division. A structural econometric model is built showing the three-fold impact of energy prices on textile employment in the Middle Atlantic division. Energy prices are linked to investment, output, and the demand for labor. Energy prices are shown to have a significant but secondary role in determining the location of manufacturing employment.

Dye, R.A.

1988-01-01T23:59:59.000Z

297

Prices  

Gasoline and Diesel Fuel Update (EIA)

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

298

Prices  

Gasoline and Diesel Fuel Update (EIA)

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

299

Prices  

Annual Energy Outlook 2012 (EIA)

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

300

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

E-Print Network (OSTI)

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

Cañizares, Claudio A.

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

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

E-Print Network (OSTI)

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

302

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

303

Equity Effects of Increasing-Block Electricity Pricing  

E-Print Network (OSTI)

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

304

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

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

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

305

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

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

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

306

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

307

AEO2011: Electricity Generation by Electricity Market Module Region and  

Open Energy Info (EERE)

Generation by Electricity Market Module Region and Generation by Electricity Market Module Region and Source Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 96, and contains only the reference case. The dataset uses billion kilowatthours. The data is broken down into texas regional entity, Florida reliability coordinating council, midwest reliability council and northeast power coordination council. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electricity generation Data application/vnd.ms-excel icon AEO2011: Electricity Generation by Electricity Market Module Region and Source- Reference Case (xls, 400.2 KiB) Quality Metrics

308

Why did British Electricity Prices Fall after 1998?  

E-Print Network (OSTI)

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

Evans, Joanne; Green, Richard J

2004-06-16T23:59:59.000Z

309

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

310

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

U.S. Energy Information Administration (EIA)

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

311

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

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

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

312

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

E-Print Network (OSTI)

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

Afzal S. Siddiqui; Afzal S. Siddiqui

2003-01-01T23:59:59.000Z

313

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

E-Print Network (OSTI)

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

Julio J. Lucia; Eduardo S. Schwartz

2000-01-01T23:59:59.000Z

314

Effects of the European Union Emissions Trading Scheme on Electricity Prices  

Science Conference Proceedings (OSTI)

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

2005-12-22T23:59:59.000Z

315

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

316

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

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

Herter, Karen

2006-01-01T23:59:59.000Z

317

Wealth Transfers from Implementing Real-Time Retail Electricity Pricing  

E-Print Network (OSTI)

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

Borenstein, Severin

2005-01-01T23:59:59.000Z

318

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

E-Print Network (OSTI)

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

Frank A. Wolak

1997-01-01T23:59:59.000Z

319

The effects of utility DSM programs on electricity costs and prices  

SciTech Connect

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

Hirst, E.

1991-11-01T23:59:59.000Z

320

The effects of utility DSM programs on electricity costs and prices  

SciTech Connect

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

Hirst, E.

1991-11-01T23:59:59.000Z

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

Gasoline Prices Also Influenced by Regional Gasoline Product Markets  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: Next we examine the wholesale market's added contribution to gasoline price variation and analyze the factors that impact the gasoline balance. There are two points to take away from this chart: The U.S. market moves with the world market, as can be seen with the high inventories in 1998, being drawn down to low levels during 1999. Crude and product markets are not independent. Crude oil and product markets move together fairly closely, with some lead/lag effects during transitions. The relationship between international crude oil markets and domestic product markets raises another issue. A subtle, but very important point, lost in recent discussions of gasoline price increases: The statement has been made that crude markets are not a factor in this past spring's high gasoline prices, since crude prices were

322

electricity market module region | OpenEI  

Open Energy Info (EERE)

342 342 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142281342 Varnish cache server electricity market module region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords AEO Electricity electricity market module region generation capacity Data application/vnd.ms-excel icon AEO2011: Electricity Generation Capacity by Electricity Market Module Region and Source- Reference Case (xls, 10.6 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually

323

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

E-Print Network (OSTI)

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

324

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

Science Conference Proceedings (OSTI)

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

Naughton, M.C.

1985-01-01T23:59:59.000Z

325

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

E-Print Network (OSTI)

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

Hamidreza Zareipour

2006-01-01T23:59:59.000Z

326

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

E-Print Network (OSTI)

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

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

2002-01-01T23:59:59.000Z

327

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

Science Conference Proceedings (OSTI)

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

Raúl Pino; José Parreno; Alberto Gomez; Paolo Priore

2008-02-01T23:59:59.000Z

328

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

Science Conference Proceedings (OSTI)

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

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

329

A Dynamic Supply-Demand Model for Electricity Prices Manuela Buzoianu  

E-Print Network (OSTI)

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

330

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

Science Conference Proceedings (OSTI)

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

Jose B. Cruz, Jr.; Xiaohuan Tan

2005-10-01T23:59:59.000Z

331

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

Science Conference Proceedings (OSTI)

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

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

2013-01-01T23:59:59.000Z

332

AEO2011: Coal Production and Minemouth Prices by Region | OpenEI  

Open Energy Info (EERE)

and Minemouth Prices by Region and Minemouth Prices by Region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 139, and contains only the reference case. The dataset uses million short tons and the US Dollar. The data is broken down into production and minemouth prices. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Coal Production EIA Minemouth Prices Data application/vnd.ms-excel icon AEO2011: Coal Production and Minemouth Prices by Region- Reference Case (xls, 41.5 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

333

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

334

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

335

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

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

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

336

Are price caps the answer for electric utilities  

SciTech Connect

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

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

1991-04-15T23:59:59.000Z

337

Electricity price short-term forecasting using artificial neural networks  

Science Conference Proceedings (OSTI)

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

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

1999-08-01T23:59:59.000Z

338

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

in region R Number of customers served by ownership typein region R Total number of customers in region R Weightedn(u) the total number of customers served by the utility.

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

2008-01-01T23:59:59.000Z

339

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

340

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

E-Print Network (OSTI)

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

Green, Eric

2013-01-01T23:59:59.000Z

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

OE State and Regional Electricity Policy Assistance Program | Department of  

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

OE State and Regional Electricity Policy Assistance Program OE State and Regional Electricity Policy Assistance Program OE State and Regional Electricity Policy Assistance Program The Office of Electricity Delivery and Energy Reliability (OE)'s mission with regard to State and Regional Policy Assistance is to provide, on an as-requested basis, unbiased policy assistance and analysis to States and regions on State electricity policies, programs, laws, and regulations that facilitate electricity Infrastructure investment needed to deliver clean, affordable, and reliable electricity to customers. OE State and Regional Electricity Policy Assistance Program More Documents & Publications U.S. Department of Energy Office of Electricity Delivery & Energy Reliability: Electric Markets Technical Assistance Program

342

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

U.S. Energy Information Administration (EIA)

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

343

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

E-Print Network (OSTI)

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

Borenstein, Severin; Jaske, Michael; Rosenfeld, Arthur

2002-01-01T23:59:59.000Z

344

Electricity storage can take advantage of daily price ...  

U.S. Energy Information Administration (EIA)

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

345

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

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

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

346

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

347

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

Science Conference Proceedings (OSTI)

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

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

1981-01-01T23:59:59.000Z

348

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

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

Ghatikar, Girish

2010-01-01T23:59:59.000Z

349

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

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

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

350

The Electric Transmission Network: A Multi-Region Analysis  

U.S. Energy Information Administration (EIA)

Modeling and Analysis Papers>The Electric Transmission Network: A Multi-Region Analysis : The Electric Transmission Network: A Multi-Region Analysis

351

Electricity Prices in Transition (released in AEO2007)  

Reports and Publications (EIA)

The push by some States to restructure electricity markets progressed rapidly throughout the late 1990s. Although the energy crisis in California during 2000 and 2001 slowed the momentum, 19 States and the District of Columbia currently have some form of restructuring in place. In addition, Washington State, which has not restructured its electricity market, allows its largest industrial customers to choose their suppliers.

Information Center

2007-03-11T23:59:59.000Z

352

AEO2011: Coal Minemouth Prices by Region and Type | OpenEI  

Open Energy Info (EERE)

Minemouth Prices by Region and Type Minemouth Prices by Region and Type Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is Table 141, and contains only the reference case. The dataset uses million short tons and the US Dollar. The data is broken down into northern Appalachia, central Appalachia, southern Appalachia, eastern interior, western interior, Gulf, Dakota medium, western Montana, Wyoming, Rocky Mountain, Arizona/New Mexico and Washington/Alaska. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO Coal Minemouth Prices EIA Data application/vnd.ms-excel icon AEO2011: Coal Minemouth Prices by Region and Type- Reference Case (xls, 121.6 KiB)

353

AEO2011: Lower 48 Crude Oil Production and Wellhead Prices by Supply Region  

Open Energy Info (EERE)

Crude Oil Production and Wellhead Prices by Supply Region Crude Oil Production and Wellhead Prices by Supply Region Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 132, and contains only the reference case. The data is broken down into Production, lower 48 onshore and lower 48 offshore. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO crude oil EIA prices Data application/vnd.ms-excel icon AEO2011: Lower 48 Crude Oil Production and Wellhead Prices by Supply Region- Reference Case (xls, 54.9 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

354

1 HOUSEHOLD RESPONSE TO DYNAMIC PRICING OF ELECTRICITY—A SURVEY OF THE EXPERIMENTAL EVIDENCE  

E-Print Network (OSTI)

Since the energy crisis of 2000-2001 in the western United States, much attention has been given to boosting demand response in electricity markets. One of the best ways to let that happen is to pass through wholesale energy costs to retail customers. This can be accomplished by letting retail prices vary dynamically, either entirely or partly. For the overwhelming majority of customers, that requires a changeout of the metering infrastructure, which may cost as much as $40 billion for the US as a whole. While a good portion of this investment can be covered by savings in distribution system costs, about 40 percent may remain uncovered. This investment gap could be covered by reductions in power generation costs that could be brought about through demand response. Thus, state regulators in many states are investigating whether customers will respond to the higher prices by lowering demand and if so, by how much. To help inform this assessment, we survey the evidence from the 15 most recent experiments with dynamic pricing of electricity. We find conclusive evidence that households (residential customers) respond to higher prices by lowering usage. The magnitude of price response depends on several factors, such as the magnitude of the price increase, the presence of central air conditioning and the availability of enabling technologies such as two-way

Ahmad Faruqui; Sanem Sergici

2009-01-01T23:59:59.000Z

355

notice, is given to the source. On the Efficiency of Competitive Electricity Markets With Time-Invariant Retail Prices  

E-Print Network (OSTI)

The standard economic model of efficient competitive markets relies on the ability of sellers to charge prices that vary as their costs change. Yet, there is no restructured electricity market in which most retail customers can be charged realtime prices (RTP), prices that can change as frequently as wholesale costs. We analyze the impact of having some share of customers on time-invariant pricing in competitive electricity markets. Not only does time-invariant pricing in competitive markets lead to outcomes (prices and investment) that are not first-best, it even fails to achieve the second-best optimum given the constraint of time-invariant pricing. We then show that attempts to correct the level of investment through taxes or subsidies on electricity or capacity are unlikely to succeed, because these interventions create new inefficiencies. In contrast, increasing the share of customers

Severin Borenstein; Stephen P. Holland; We Thank Jim Bushnell; Joe Farrell; Morten Hviid; Erin Mansur; Michael Riordan; Lawrence White; Severin Borenstein; Stephen P. Holl

2003-01-01T23:59:59.000Z

356

How and Why Customers Respond to Electricity Price Variability  

E-Print Network (OSTI)

and/or reached a significant milestone in 2011. A few examples are included here to highlight of operation. To prevent electricity outages and enable reliable integration of renewable energy generation

357

Forecasting Electricity Prices in an Optimization Hydrothermal Problem  

Science Conference Proceedings (OSTI)

This paper presents an economic dispatch algorithm in a hydrothermal system within the framework of a competitive and deregulated electricity market. The optimization problem of one firm is described

J. M. Matías; L. Bayón; P. Suárez; A. Argüelles; J. Taboada

2007-01-01T23:59:59.000Z

358

Modelling commodity prices in the Australian National Electricity Market.  

E-Print Network (OSTI)

??Beginning in the early 1990s several countries, including Australia, have pursued programs of deregulation and restructuring of their electricity supply industries. Dissatisfaction with state-run monopoly… (more)

Thomas, S

2007-01-01T23:59:59.000Z

359

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

E-Print Network (OSTI)

In implementing an integrated electric utility network, direct communication between the utility and customers is an important component. The rapid penetration of computer building control technology in larger commercial and industrial customers provides an opportunity for the utility to implement this network by linking directly with equipment already in place: customer-owned energy management and control systems (EMCS). This paper assesses the potential use of EMCSs in utility real-time pricing (RTP) efforts by discussing the procedures and technical requirements for transferring prices to the EMCS. The perspectives and objectives of the customer and the utility will also be discussed. We will discuss how price information can be used by the customer and the EMCS to implement demand-limiting strategies, both in currently available demand-management algorithms, and in potential price-responsive cost-management algorithms.

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

360

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

E-Print Network (OSTI)

In an increasingly competitive operating environment, utilities must place greater emphasis on developing programs that benefit the customer while at the same time benefiting the utility. Economy Surplus Power (ESP) is such a program. ESP offers industrial customers attractively priced power supply arrangements based on incremental production costs. Industrial customers receive hourly price quotes for electrical power through a direct computer link between TVA and the customer. The customer has the option to increase or decrease the amount of power requested in response to price signals, plant load conditions, or production requirements. This paper will describe the arrangements for the sale and use of ESP, including the communication system, pricing variations, use of curtailment rights, the types of customers currently participating in the program, and recent modifications.

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

1991-06-01T23:59:59.000Z

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

Own-price and income elasticities for household electricity demand : a survey of literature using meta-regression analysis.  

E-Print Network (OSTI)

??Maria Wist Langmoen Own-price and income elasticities for household electricity demand -A Literature survey using meta-regression analysis Economists have been modelling the electricity demand for… (more)

Langmoen, Maria Wist

2004-01-01T23:59:59.000Z

362

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

E-Print Network (OSTI)

demand growth. Current electricity market designs are being reviewed to avoid supply difficulties concept, named "capacity tag" for each plant is being proposed and in the FERC/EU direc- tives in the US INTERRUPTED MARKETS OPERATING COUNTRIES WITH POWER ADJUSTMENTS INTHE REFORM PROCESS INTERESTED INTHE NEW

Rudnick, Hugh

363

Electricity price impacts of alternative Greenhouse gas emission cap-and-trade programs  

SciTech Connect

Limits on greenhouse gas emissions would raise the prices of the goods and services that require such emissions for their production, including electricity. Looking at a variety of emission limit cases and scenarios for selling or allocating allowances to load-serving entities, the authors estimate how the burden of greenhouse gas limits are likely to be distributed among electricity consumers in different states. (author)

Edelston, Bruce; Armstrong, Dave; Kirsch, Laurence D.; Morey, Mathew J.

2009-07-15T23:59:59.000Z

364

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

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Focus Area: Crosscutting Topics: Market Analysis Website: www.hks.harvard.edu/hepg/Papers/2009/The%20Power%20of%20Experimentatio Equivalent URI: cleanenergysolutions.org/content/household-response-dynamic-pricing-el Language: English Policies: "Deployment Programs,Regulations,Financial Incentives" is not in the list of possible values (Deployment Programs, Financial Incentives, Regulations) for this property. DeploymentPrograms: Demonstration & Implementation Regulations: "Mandates/Targets,Cost Recovery/Allocation,Enabling Legislation" is not in the list of possible values (Agriculture Efficiency Requirements, Appliance & Equipment Standards and Required Labeling, Audit Requirements, Building Certification, Building Codes, Cost Recovery/Allocation, Emissions Mitigation Scheme, Emissions Standards, Enabling Legislation, Energy Standards, Feebates, Feed-in Tariffs, Fuel Efficiency Standards, Incandescent Phase-Out, Mandates/Targets, Net Metering & Interconnection, Resource Integration Planning, Safety Standards, Upgrade Requirements, Utility/Electricity Service Costs) for this property.

365

Electricity Load and Carbon Dioxide Emissions: Effects of a Carbon Price in the Short Term  

Science Conference Proceedings (OSTI)

acceptable levels will require a dramatic de-carbonization of the electric generation sector in the U.S. One increasingly discussed way to meet this policy goal is to put an explicit price on carbon emissions, either through a tax or a trading scheme. ...

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

2008-01-01T23:59:59.000Z

366

Implications of Lower Natural Gas Prices for Electric Generators in the Southeast, The  

Reports and Publications (EIA)

This supplement to the Energy Information Administration's (EIA) May 2009 Short-Term Energy Outlook (STEO) focuses on changes in the utilization of coal- and natural-gas-fired generation capacity in the electric utility sector as the differential between delivered fuel prices narrows.

Information Center

2009-05-12T23:59:59.000Z

367

CPI anticipates price benefits in an open electricity market - but utilities `will erect roadblocks`  

SciTech Connect

Chemical manufacturers and industrial gas firms welcome the coming deregulation of electricity because the change offers them competitive choice in power supplies. They anticipate price benefits like those that have flowed from natural gas deregulation, which feed from manufacturers to bypass local utilities and shop for their own fuel supplies.

Pospisil, R.

1994-11-23T23:59:59.000Z

368

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

Science Conference Proceedings (OSTI)

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

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

2005-08-25T23:59:59.000Z

369

Time-of-use electricity price effects: summary I  

SciTech Connect

In 1975 the Federal Energy Administration, now the Department of Energy (DOE), initiated 16 rate-demonstration projects. This report summarizes a standardized analysis of data from the residential portion of six of those projects: Arizona, Connecticut, Ohio, Rhode Island, Wisconsin, and the Blue Ridge Electric Membership Corporation study of the North Carolina project. A brief description of the DOE rate-demonstration program is provided along with a statement of RTI's objectives in the analysis of TOU rate effects. The report also summarizes the individual project results, which indicate that the experimental TOU rates generally reduced both peak-period and total electricity usage on both average and peak days, since off-peak usage was usually about the same for both TOU and control customers. Analysis methods and data limitations are fully described and additional details on project specific results are given. Some qualitative conclusions and impressions about TOU rates that have been suggested by these analyses are offered.

Miedema, A.K.; White, S.B.

1980-06-01T23:59:59.000Z

370

Electric  

U.S. Energy Information Administration (EIA)

Average Retail Price of Electricity to ... Period Residential Commercial Industrial ... or usage falling within specified limits by rate ...

371

Distributional and socioeconomic impacts of electricity price increases on the Puerto Rican population. Volume 2  

Science Conference Proceedings (OSTI)

The purpose of this study is to analyze the socio-economic impacts of changes in energy prices and availability upon the low income minorities in Puerto Rico. This volume presents both the theoretical and empirical aspect of this research. Chapter two includes a review of the literature on the demand for electricity. Chapter three analyzes the present electricity rate structure and its implications on equity and energy conservation. In chapter four data available from the Puerto Rico Electric Power Authority is used to analyze the concentration of electricity consumption and, to estimate several models of demand functions fitted to be estimated with time-series data. Chapter five describes the household survey undertaken to get information on residential electricity consumption in Puerto Rico. The information obtained was used in chapter six to analyze several aspects of electric energy consumption in Puerto Rico. Among these: the price-consumption relationship, the income-consumption relationship, energy conservation patterns, subsidy impact on conservation, and equity considerations on the electricity consumption subsidy. These issues were examined using cross tabulation and regression analysis techniques. Finally, chapter nine (9) develops a simulation model to analyze the impact of different policy alternatives on electricity rate structures. 7 figures, 43 tables.

Rodriguez, E.; Ocasio, W.; Torres, S.; Zalacain, F.; Lugo, S.

1983-03-01T23:59:59.000Z

372

International Natural Gas Prices for Electricity Generation - EIA  

Gasoline and Diesel Fuel Update (EIA)

Electricity Generation for Selected Countries1 Electricity Generation for Selected Countries1 U.S. Dollars per 107 Kilocalories - Gross Calorific Value2 Country 2001 2002 2003 2004 2005 2006 2007 2008 2009 Argentina NA NA NA NA NA NA NA NA NA Australia NA NA NA NA NA NA NA NA NA Austria NA NA NA NA NA NA NA NA NA Barbados NA NA NA NA NA NA NA NA NA Belgium C C C C C C C C C Bolivia NA NA NA NA NA NA NA NA NA Brazil NA NA NA NA NA NA NA NA NA Canada 145.5 144.7 174.9 171.9 225.2 NA NA NA NA Chile NA NA NA NA NA NA NA NA NA China NA NA NA NA NA NA NA NA NA Chinese Taipei (Taiwan) 244.7 252.1 258.6 281.0 326.2 348.5 400.8 499.3 NA

373

Optimal Scheduling of Industrial Combined Heat and Power Plants under Time-sensitive Electricity Prices  

E-Print Network (OSTI)

Combined heat and power (CHP) plants are widely used in industrial applications. In the aftermath of the recession, many of the associated production processes are under-utilized, which challenges the competitiveness of chemical companies. However, under-utilization can be a chance for tighter interaction with the power grid, which is in transition to the so-called smart grid, if the CHP plant can dynamically react to time-sensitive electricity prices. In this paper, we describe a generalized mode model on a component basis that addresses the operational optimization of industrial CHP plants. The mode formulation tracks the state of each plant component in a detailed manner and can account for different operating modes, e.g. fuel-switching for boilers and supplementary firing for gas turbines, and transitional behavior. Transitional behavior such as warm and cold start-ups, shutdowns and pre-computed start-up trajectories is modeled with modes as well. The feasible region of operation for each component is described based on input-output relationships that are thermodynamically sound, such as the Willans line for steam turbines. Furthermore, we emphasize the use of mathematically efficient logic constraints that allow solving the large-scale models fast. We provide an industrial case study and study the impact of different scenarios for under-utilization. 1

Sumit Mitra; Ignacioe. Grossmann

2012-01-01T23:59:59.000Z

374

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

8. Coal and Retail Electricity Prices and Expenditures, Ranked by State, 2011 Rank Coal Retail Electricity Prices Expenditures Prices Expenditures State Dollars per Million Btu...

375

Lake Region Electric Cooperative- Commercial Energy Efficiency Grant Program  

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

376

Controlling Market Power and Price Spikes in Electricity Networks: Demand-side Bidding  

E-Print Network (OSTI)

Simona Lup, Jia Jing Liu and Stephen Sosnicki for help with running the experiments and testing the software. This paper has benefited from comments from Kevin McCabe, Mark Olson, Dave Porter, and Stan Reynolds, but all errors are our own. The data are available upon request from the authors. Controlling Market Power and Price Spikes in Electricity Networks: Demand-Side Bidding In this paper we report experiments that examine how two structural features of electricity networks contribute to the exercise of market power in deregulated markets. The first feature is the distribution of ownership of a given set of generating assets. In the market power treatment, two large firms are allocated baseload and intermediate cost generators such that either firm might unilaterally withhold the capacity of its intermediate cost generators from the market to benefit from the supracompetitive prices that would result from only selling its baseload units. In the converse treatment, ownership of some of the intermediate cost generators is transferred from each of these firms to two other firms, so that no one firm could unilaterally restrict output to spawn supra-competitive prices. The second feature explores how the presence of line constraints in a radial network may segment the market and promote supra-competitive pricing in the isolated market segments. We also consider the interaction effect when both of these structural features are present. Having established a wellcontrolled data set with price spikes paralleling those observed in the naturally occurring economy, we also extend the design to include demand-side bidding. We find that demand-side bidding completely neutralizes the exercise of market power and eliminates price spikes.

Stephen J. Rassenti; Vernon L. Smith; Bart J. Wilson

2003-01-01T23:59:59.000Z

377

Is Real-Time Pricing Green?: The Environmental Impacts of Electricity Demand Variance  

E-Print Network (OSTI)

for responding to real-time prices. 3 Recently someof RTP. the higher real-time price, each would use lessretail price, p . For real-time prices below the ?at price,

Holland, Stephen P.; Mansur, Erin T.

2004-01-01T23:59:59.000Z

378

Time-of-use electricity price effects. Final report  

SciTech Connect

In 1975 the Federal Energy Administration, now the Department of Energy (DOE), initiated 16 rate demonstration projects. This report summarizes a standardized analysis of data from the residential portion of 11 of those projects: Arizona, Arkansas, Connecticut, Los Angeles, North Carolina (Blue Ridge Electric Membership Corporation), North Carolina (Carolina Power and Light Company), Ohio, Oklahoma, Puerto Rico, Rhode Island, and Wisconsin. A brief description of the DOE rate demonstration program is provided along with a statement of RTI's objectives in the analysis of TOU rate effects. The report also describes methods and estimation models used for the studies. Details of experimental design and analysis results are given for individual projects analyzed by RTI. Finally, some general observations about the impacts of TOU rates that have been suggested by these analyses are offered. A review of the analytical findings suggests that experimental TOU rates generally reduced peak-period consumption on both average and system peak days. The reductions tended to be larger on system peak days than on average days. Since off-peak consumption was usually about the same for both TOU and control customers, total daily usage by TOU customers was generally reduced. The studies also indicate that high-usage customers responded to TOU rates more sensitively than low-usage customers, suggesting that an effective implementation of a TOU rate schedule may initially be limited to high-usage customers.

Miedema, A.K.; Lee, K.K.; White, S.B.

1981-11-01T23:59:59.000Z

379

Determining the effects on residential electricity prices and carbon emissions of electricity market restructuring in Alberta.  

E-Print Network (OSTI)

??When electricity restructuring initiatives were introduced in Alberta, and finalized with the institution of retail electricity market competition in 2001, it was argued that the… (more)

Jahangir, Junaid Bin

2011-01-01T23:59:59.000Z

380

Table C6. Wholesale Propane Prices by Region and State (Cents ...  

U.S. Energy Information Administration (EIA)

Wholesale Propane Prices by Region and State (Cents per Gallon) P=Preliminary data. ... New York 67.5 68.3 67.2 72.0 74.4 86.0 89.2 82.8 86.6 131.8 94.3 80.2

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

Lake Region Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

Cooperative Cooperative (Redirected from Lake Region Coop Elec Assn) Jump to: navigation, search Name Lake Region Electric Cooperative Place Minnesota Utility Id 10618 Utility Location Yes Ownership C NERC Location MRO NERC MRO Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png 2013 Residential and Farm Rates Residential Interruptible Heating(Domestic Use) Interruptible Heating(Non-Domestic Use) Residential Irrigation Rate Commercial Large Commercial Commercial Offpeak Storage Residential Simultaneous Purchase and Sale Small Commercial Commercial

382

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

E-Print Network (OSTI)

2 permits, and NOx permits. Coal prices are assumed constantfalling average price is stronger, and coal-?red operatinghourly supply (price > $30) Load Coal Oil Gas Panel C:

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

383

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

E-Print Network (OSTI)

present concerns about natural gas prices and the findingsEconomy (ACEEE). 2003. Natural Gas Price Effects of EnergyGas Crisis: Reducing Natural Gas Prices through Increased

Wiser, Ryan

2005-01-01T23:59:59.000Z

384

Spot pricing of electricity and ancillary services in a competitive California market  

Science Conference Proceedings (OSTI)

Typically, in competitive electricity markets, the vertically integrated utilities that were responsible for ensuring system reliability in their own service territories, or groups of territories, cease to exist. The burden falls to an independent system operator (ISO) to ensure that enough ancillary services (AS) are available for safe, stable, and reliable operation of the grid, typically defined, in part, as compliance with officially approved engineering specifications for minimum levels of AS. In order to characterize the behavior of market participants (generators, retailers, and an ISO) in a competitive electricity market with reliability requirements, spot markets for both electricity and AS are modeled. By assuming that each participant seeks to maximize its wealth and that all markets clear, we solve for the optimal quantities of electricity and AS traded in the spot market by all participants, as well as the market clearing prices for each.

Siddiqui, A.S.; Marnay, C.; Khavkin, M.

2000-11-01T23:59:59.000Z

385

Operation of Distributed Generation Under Stochastic Prices  

E-Print Network (OSTI)

increases with electricity price volatility as expected,Intuitively, as the electricity price becomes more volatile,between it and the electricity price, there will be fewer

Siddiqui, Afzal S.; Marnay, Chris

2005-01-01T23:59:59.000Z

386

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

2009. “To What Electricity Price Do Consumers Respond?faced with nonlinear electricity price schedules. Nonlinearrates and multi-tier electricity prices, complicate economic

Ito, Koichiro

2011-01-01T23:59:59.000Z

387

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

E-Print Network (OSTI)

35 Panel B: Hourly real-time prices Mean change std. dev.of the e?ciency gains of real-time price variation could beof the customers pay real-time prices, i.e. , retail prices

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

388

Estimating household fuel oil/kerosine, natural gas, and LPG prices by census region  

SciTech Connect

The purpose of this research is to estimate individual fuel prices within the residential sector. The data from four US Department of Energy, Energy Information Administration, residential energy consumption surveys were used to estimate the models. For a number of important fuel types - fuel oil, natural gas, and liquefied petroleum gas - the estimation presents a problem because these fuels are not used by all households. Estimates obtained by using only data in which observed fuel prices are present would be biased. A correction for this self-selection bias is needed for estimating prices of these fuels. A literature search identified no past studies on application of the selectivity model for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas. This report describes selectivity models that utilize the Dubin/McFadden correction method for estimating prices of residential fuel oil/kerosine, natural gas, and liquefied petroleum gas in the Northeast, Midwest, South, and West census regions. Statistically significant explanatory variables are identified and discussed in each of the models. This new application of the selectivity model should be of interest to energy policy makers, researchers, and academicians.

Poyer, D.A.; Teotia, A.P.S.

1994-08-01T23:59:59.000Z

389

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

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

b. Coal Prices to Electric Generating Plants, Projected vs. Actual" b. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Nominal Dollars" " (nominal dollars per million Btu)" ,1993,1994,1995,1996,1997,1998,1999,2000,2001,2002,2003,2004,2005,2006,2007,2008,2009,2010,2011 "AEO 1994",1.502753725,1.549729719,1.64272351,1.727259934,1.784039735,1.822135762,1.923203642,2.00781457,2.134768212,2.217425497,2.303725166,2.407715232,2.46134106,2.637086093,2.775389073,2.902293046,3.120364238,3.298013245 "AEO 1995",,1.4212343,1.462640338,1.488780998,1.545300242,1.585877053,1.619428341,1.668671498,1.7584219,1.803937198,1.890547504,1.968695652,2.048913043,2.134750403,2.205281804,2.281690821,2.375434783,2.504830918 "AEO 1996",,,1.346101641,1.350594221,1.369020126,1.391737646,1.421340737,1.458772082,1.496497523,1.561369914,1.619940033,1.674758358,1.749420803,1.800709877,1.871110564,1.924495246,2.006850327,2.048938234,2.156821499

390

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

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual a. Coal Prices to Electric Generating Plants, Projected vs. Actual Projected Price in Constant Dollars (constant dollars per million Btu in "dollar year" specific to each AEO) AEO Dollar Year 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 2010 2011 AEO 1994 1992 1.47 1.48 1.53 1.57 1.58 1.57 1.61 1.63 1.68 1.69 1.70 1.72 1.70 1.76 1.79 1.81 1.88 1.92 AEO 1995 1993 1.39 1.39 1.38 1.40 1.40 1.39 1.39 1.42 1.41 1.43 1.44 1.45 1.46 1.46 1.46 1.47 1.50 AEO 1996 1994 1.32 1.29 1.28 1.27 1.26 1.26 1.25 1.27 1.27 1.27 1.28 1.27 1.28 1.27 1.28 1.26 1.28

391

Electric System Decision Making in Other Regions: A Preliminary Analysis  

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

Decision Making in Other Regions: A Preliminary Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation Electric System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation The nation's electricity system is regional in nature, because of the operation of the interconnected grids and the markets defined by them. Over the years, many regional organizations of utilities and governments have formed to manage and oversee these markets. Electric System Decision Making in Other Regions: A Preliminary Analysis Prepared for Western Interstate Energy Board Committee on Regional Electric Power Cooperation More Documents & Publications

392

How to alleviate the electricity scarcity in Guangxi : an analysis of electricity pricing.  

E-Print Network (OSTI)

??With the rapid economic growth and the increase of the population, Guangxi, a province with abundant hydropower resource, is facing a severe electricity shortage problem.… (more)

Xie, Siping

2006-01-01T23:59:59.000Z

393

Entry into the Swedish Wholesale Electricity Market and the Electricity Price.  

E-Print Network (OSTI)

?? The aim of this paper is to analyze the strategic behavior of the leading firms on the Swedish wholesale electricity market. This thesis wishes… (more)

Bhatia, Martina

2010-01-01T23:59:59.000Z

394

Regional load curve models: specification and estimation of the DRI Model. Final report. [Forecasts of electric loads in 32 US regions  

SciTech Connect

The DRI Model of hourly load curves is developed in this report. The model is capable of producing long-term forecasts for 32 US regions. These regions were created by aggregating hourly system load data from 146 electric utilities. These utilities supply approximately 95% of all electricity consumed in the continental US. The model forecasts electricity demands for each hour of the year for each of the 32 regions. Model output includes forecasts of peak demands, megawatt hour demands, load factors, and load duration curves. The DRI Model is estimated in two stages. In the first stage, for each region and month, hourly electricity demands are parameterized into load components representing the effects of lifestyles and weather on regional loads through a time-series model. In the second stage, the variation in these parameterized load components across months and regions is modeled econometrically in terms of energy prices, income levels, appliance saturation rates, and other variables. The second-stage models are essentially models of electricity demand which are estimated using estimated first-stage parameters as dependent variables, instead of observed demands. Regional price and income demand elasticities are implied by the second-stage models. Moreover, since the dependent variables refer to particular hours of the day, these estimated elasticities are hour-specific. (Since prices did not vary over the day in years when hourly load data were available, hour-to-hour, cross-price elasticities were not estimated.) Integrated system hourly load forecasts are obtained combining the influences of individual customer classes. Finally, approximate customer class hourly load shapes can be produced for each region, though these series may be useful only in research endeavors since they lack the precision available through survey methods.

Platt, H.D.; Einhorn, M.A.; Ignelzi, P.C.; Poirier, D.J.

1981-01-01T23:59:59.000Z

395

Is Real-Time Pricing Green?: The Environmental Impacts of Electricity Demand Variance  

E-Print Network (OSTI)

Atlantic region, where the PJM wholesale electricity marketoperates. Firms in PJM use a mix of fuel sources andof the fossil fuel sources in PJM. The fossil-?red units are

Holland, Stephen P.; Mansur, Erin T.

2004-01-01T23:59:59.000Z

396

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

397

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

Science Conference Proceedings (OSTI)

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

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

1995-02-01T23:59:59.000Z

398

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

399

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

E-Print Network (OSTI)

who are charged real-time prices. I discuss the politicalor loss relative to the real-time price that obtains in eachits expected demand at the real-time price. Throughout this

Borenstein, Severin

2007-01-01T23:59:59.000Z

400

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

E-Print Network (OSTI)

then pay/receive the real- time price for deviations fromI assume that the retail real-time prices customers face arewould likely dampen real-time price volatility and the

Borenstein, Severin

2007-01-01T23:59:59.000Z

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

Appendix C: Map of NEMS Electricity Market Module Regions  

Annual Energy Outlook 2012 (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Bingaman Appendix C: Map of NEMS Electricity Market Module Regions...

402

Appendix C. Map of NEMS Electricity Market Module Regions  

Gasoline and Diesel Fuel Update (EIA)

U.S. Energy Information Administration | Analysis of Impacts of a Clean Energy Standard as requested by Chairman Hall Appendix C. Map of NEMS Electricity Market Module Regions...

403

Electricity Pricing Structures for the 21st Century: Remodeling or New Construction? A Summary of Workshop Presentations and Dialogu e  

Science Conference Proceedings (OSTI)

EPRI's workshop on the topic of Electricity Pricing Structures for the 21st Centurywas held on July 14th and 15th, 2011 in Nashville, Tennessee, and was co-hosted by the Tennessee Valley Authority. It was the first of two workshops intended to delve into various aspects of customer behavior specifically, what factors drive electricity consumption decisions. Together with the second workshop (Understanding How Customers Value and Use Electricity, October 2011, co-hosted by CPS Energy), the knowledge gathe...

2011-08-31T23:59:59.000Z

404

AEO2011: Electric Power Projections for EMM Region - Southwest Power Pool /  

Open Energy Info (EERE)

South South Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 90, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections South Southwest Power Pool Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Southwest Power Pool / South- Reference Case (xls, 259 KiB)

405

AEO2011: Electric Power Projections for EMM Region - Southwest Power Pool /  

Open Energy Info (EERE)

North North Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 89, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power Southwest Power Pool Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - Southwest Power Pool / North- Reference Case (xls, 258.6 KiB)

406

AEO2011: Electric Power Projections for EMM Region - United States | OpenEI  

Open Energy Info (EERE)

United States United States Dataset Summary Description This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 95, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Electric Power projections United States Data application/vnd.ms-excel icon AEO2011: Electric Power Projections for EMM Region - United States- Reference Case (xls, 260.9 KiB) Quality Metrics

407

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

408

Summary of the GRI regional sectoral electricity model and the issues relating to those results. Occasional pub  

SciTech Connect

Results are summarized for an analysis of the U.S. electric utility industry conducted as an outgrowth of the '1984 GRI Baseline Projection of U.S. Energy Supply and Demand, 1983-2010.' The GRI Regional Sectoral Electricity Model shows a potential increase in gas demand by electric utilities of over one quad by the year 2000 if gas-fired combined-cycle is used to help offset any potential shortfall in generating capacity. Key issues emerging from the study include load growth, new generating capacity, capacity utilization, fuel choice, financial performance, and electricity prices.

Hilt, R.H.; Coyne, J.M.; Makovich, L.J.

1987-03-01T23:59:59.000Z

409

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

410

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

SciTech Connect

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

411

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

Science Conference Proceedings (OSTI)

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

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

2004-07-01T23:59:59.000Z

412

Natural Gas Wellhead Price  

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

included in Prices Electric Power Price Period: Monthly Annual Download Series History Download Series History Definitions, Sources & Notes Definitions, Sources & Notes...

413

Convergence of Regional Liquid Natural Gas (LNG) Prices : A review of regional LNG import prices using Engle Granger’s Cointegration approach.  

E-Print Network (OSTI)

??This thesis investigates the bivariate long term stochastic relationship between the import Liquefied Natural Gas (LNG) prices in Japan, USA and EU. The bivariate testing… (more)

Eliston, Anton Jayanand

2009-01-01T23:59:59.000Z

414

Principal electric facilities: North Central region  

SciTech Connect

A map is presented which shows the location, capacity, type, and ownership of electric power generating stations and power transmission lines in North Dakota, South Dakota, Nebraska, Kansas, Missouri, Iowa, and Minnesota. (LCL)

1977-01-01T23:59:59.000Z

415

Lake Region Electric Cooperative - Residential Energy Efficiency Rebate  

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

Lake Region Electric Cooperative - Residential Energy Efficiency Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program Lake Region Electric Cooperative - Residential Energy Efficiency Rebate Program < Back Eligibility Residential Savings Category Heating & Cooling Commercial Heating & Cooling Cooling Heat Pumps Appliances & Electronics Maximum Rebate Limit one rebate per appliance Geothermal Heat Pumps: 20 tons Program Info State Minnesota Program Type Utility Rebate Program Rebate Amount Refrigerator: $75 with recycling of old unit Freezer: $75 with recycling of old unit Ductless Air-Source Heat Pump: $300 Air-Source Heat Pump: $330 - $630 Central AC: $50 - $200 Geothermal Heat Pump: $100 - $400/ton CFLs: Free Recycling Provider Lake Region Electric Cooperative Lake Region Electric Cooperative (LREC) offers a variety of rebates for

416

Impacts of time-of-day on average electricity prices and utility load factors  

SciTech Connect

A degree of rationalism is brought to the rate debate between marginalist time of day advocates and embedded cost traditionalists by an empirical analysis. Studies show that neither side can claim victory. The results show that blanket statements cannot be made concerning the impacts of TOD in demand and load factor, and that rates reduce only slightly. This paper summarizes the impacts of marginal cost TOD rates on peak demand, generation, load factor, and the average price of electricity. The methodology includes calculation of marginal cost, prediction of effect of TOD on load shapes by means of a Load Curve Forecasting model, and a production costing model. A matrix shows that impacts of TOD rates on individual utilities will depend on the specific utility customer mix, load shape, and generation mix.

Chamberlin, J.H.; Dickson, C.T.; Spann, R.M.

1982-06-01T23:59:59.000Z

417

EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day?  

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

EREV and BEV Economic Viability vs. EREV and BEV Economic Viability vs. Household Retail Electric Pricing Strategies: Two Charges a Day? By Dan Santini Argonne National Laboratory dsantini@anl.gov Remarks are attributable only to the author; not to Argonne or U.S. Department of Energy NAATBatt Conference: The Impact of PEVs on T&D Systems: Challenges and Solutions Dec. 7, 2010 The submitted manuscript has been created by Argonne National Laboratory, a U.S. Department of Energy laboratory managed by UChicago Argonne, LLC, under Contract No. DE-AC02-06CH11357. The U.S. Government retains for itself, and others acting on its behalf, a paid-up, nonexclusive, irrevocable worldwide license in said article to reproduce, prepare derivative works, distribute copies to the public, and perform publicly and display publicly,

418

Point and Interval Forecasting of Spot Electricity Prices: Linear vs. Non-Linear Time Series Models  

E-Print Network (OSTI)

In this paper we assess the short-term forecasting power of different time series models in the electricity spot market. In particular we calibrate AR/ARX (”X” stands for exogenous/fundamental variable — system load in our study), AR/ARX-GARCH, TAR/TARX and Markov regime-switching models to California Power Exchange (CalPX) system spot prices. We then use them for out-ofsample point and interval forecasting in normal and extremely volatile periods preceding the market crash in winter 2000/2001. We find evidence that (i) non-linear, threshold regime-switching (TAR/TARX) models outperform their linear counterparts, both in point and interval forecasting, and that (ii) an additional GARCH component generally decreases point forecasting efficiency. Interestingly, the former result challenges a number of previously published studies on the failure of non-linear regime-switching models in forecasting.

Adam Misiorek; Stefan Trueck; Rafal Weron

2006-01-01T23:59:59.000Z

419

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

communicate dynamic electricity prices to facilities and howdoes not know the electricity prices more than a day inTime Pricing (RTP): Electricity prices vary continuously

Ghatikar, Girish

2010-01-01T23:59:59.000Z

420

Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Program  

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

Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Program Gainesville Regional Utilities - Solar-Electric (PV) System Rebate Program < Back Eligibility Residential Savings Category Solar Buying & Making Electricity Maximum Rebate $5,000 Program Info Start Date 10/1/2010 State Florida Program Type Utility Rebate Program Rebate Amount Solar window of 80% or more: $1.00/watt Provider Gainesville Regional Utilities '''''NOTE: Application targets for fiscal year 2013 have been met for the GRU Solar PV Rebate Program. The next round of applications are scheduled to open on October 1, 2013 pending approval of the GRU budget by the Gainesville City Commission.''''' Gainesville Regional Utilities (GRU) offers its customers a rebate to install photovoltaic (PV) systems. Systems with solar windows of 80% or

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

Breakeven Prices for Photovoltaics on Supermarkets in the United States  

DOE Green Energy (OSTI)

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

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

2013-03-01T23:59:59.000Z

422

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

left) and High (right) Electricity Price References..32 Listin response to dynamic electricity prices using the Opena variety of dynamic electricity price structures. In this

Ghatikar, Girish

2010-01-01T23:59:59.000Z

423

Real Time Pricing and the Real Live Firm  

E-Print Network (OSTI)

ahead Wholesale Market Electricity Prices: Case Study of RTPfluctuations in electricity prices are based on theories ofto increases in electricity prices, as long as doing so

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

2004-01-01T23:59:59.000Z

424

Electricity Market Price Forecasting: Neural Networks versus Weighted-Distance Nearest Neighbours  

E-Print Network (OSTI)

In today's deregulated markets, forecasting energy prices is becoming more and more important. In the short term, expected price pro les help market participants to determine their bidding strategies.

A. Troncoso; J.M. Riquelme; Alicia Troncoso Lora; J.L. Martínez; A. Gómez; Jose Riquelme Santos; Jesus Riquelme Santos

2001-01-01T23:59:59.000Z

425

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

Science Conference Proceedings (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

426

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Dynamic Pricing and Smart Grid. Lawrence Berkeley Nationaland Technology's (NIST) Smart Grid Standards developmentcertification program. The Smart Grid Architectural Council

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

427

Designing Electricity Auctions  

E-Print Network (OSTI)

J. (2002) “Why Did Electricity Prices Fall in England &Why Did British Electricity Prices Fall After 1998? ,”The Fall in British Electricity Prices: Market Rules, Market

Fabra, Natalia; von der Fehr, Nils-Henrik; Harbord, David

2004-01-01T23:59:59.000Z

428

ESTIA: A Real-Time Consumer Control Scheme for Space Conditioning Usage under Spot Electricity Pricing  

E-Print Network (OSTI)

rendering price forecasting practically unnecessary and reducing the data and computing requirements Pricing P. Constantopoulos University of Crete and Research Centre of Crete Heraklion, Crete, Greece F are now relatively inexpensive, so that hourly (or more frequent) "spot prices" of electri- city could

429

ESTIA: A RealTime Consumer Control Scheme for Space Conditioning Usage under Spot Electricity Pricing  

E-Print Network (OSTI)

, thereby rendering price forecasting practically unnecessary and reducing the data and computing Pricing P. Constantopoulos University of Crete and Research Centre of Crete Heraklion, Crete, Greece F are now relatively inexpensive, so that hourly (or more frequent) "spot prices" of electri­ city could

430

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

SciTech Connect

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

431

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

Science Conference Proceedings (OSTI)

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

O`Sheasy, M.

1997-03-01T23:59:59.000Z

432

The Impact of Market Rules and Market Structure on the Price Determination Process in the England and Wales Electricity Market  

E-Print Network (OSTI)

This paper argues that the market rules governing the operation of the England and Wales electricity market in combination with the structure of this market presents the two major generators---National Power and PowerGen---with opportunities to earn revenues substantially in excess of their costs of production for short periods of time. Generators competing to serve this market have two strategic weapons at their disposal: (1) the price bid for each generation set and (2) the capacity of each generation set made available to supply the market each half-hour period during the day. We argue that because of the rules governing the price determination process in this market, by the strategic use of capacity availability declarations, when conditions exogenous to the behavior of the two major generators favor it, these two generators are able to obtain prices for their output substantially in excess of their marginal costs of generation. The paper establishes these points in the following manner. First, we provide a description of the market structure and rules governing the operation of the England and Wales electricity market, emphasizing those aspects that are important to the success of the strategy we believe the two generators use to exercise market power. We then summarize the time series properties of the price of electricity emerging from this market structure and price-setting process. By analyzing four fiscal years of actual market prices, quantities and generator bids into the market, we provide various pieces of evidence in favor of the strategic use of the market rules by the two major participants. The paper closes with a discussion of the lessons that the England and Wales experience can provide for the design of competitive power markets in the US, particula...

Frank A. Wolak; Robert H. Patrick

1997-01-01T23:59:59.000Z

433

USLCI Interconnect Region Electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

76 76 Varnish cache server Browse Upload data GDR 429 Throttled (bot load) Error 429 Throttled (bot load) Throttled (bot load) Guru Meditation: XID: 2142278976 Varnish cache server USLCI Interconnect Region Electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system interconnect regions (ASCC, FRCC, HICC, MRO, NPCC, RFC, SERC, SPP, TRE, WECC) for 2008. The data is provided in life cycle inventory (LCI) forms (both xls and xml). A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the interconnect regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the interconnect regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module report and detailed spreadsheet.

434

Gasoline Prices  

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

Gasoline Prices Gasoline Price Data Sign showing gasoline prices Local Prices: Find the cheapest gasoline prices in your area. State & Metro Area Prices: Average prices from AAA's...

435

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

E-Print Network (OSTI)

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

Stefan Reichelstein; Erica Plambeck

2009-01-01T23:59:59.000Z

436

www.analysisgroup.com Uniform-Pricing versus Pay-as-Bid in Wholesale Electricity Markets: Does it Make a Difference? 1  

E-Print Network (OSTI)

Electricity prices have been rising. Over the last decade, average electricity prices in the U.S. have increased by one-third. 2 These price increases coincide with policy changes in many parts of the country that introduced greater reliance on market forces into the electric industry. Although today’s electricity prices are still relatively low in historical terms (about two-thirds of their 1980s levels when adjusted for inflation 3) and rising electricity prices have been largely the result of movements in global markets for fossil fuels, these price increases have nonetheless placed pressure on policy makers in a number of recently restructured electricity markets to question whether power prices have increased due to the design of competitive markets. Some observers have begun to push for redesign of market rules or even a return to elements of traditional cost-of-service regulation in the electric industry. 4 Among the proposed reforms are changes to the design of auction processes used in various wholesale electricity markets. These auctions involve offers to supply power, and, potentially, bids to buy power. The auction determines the identity of the “winners”

Susan F. Tierney, Ph.D.; Todd Schatzki Ph. D; Rana Mukerji; Susan Tierney, Ph.D.; Todd Schatzki, Ph.D.; Rana Mukerji

2008-01-01T23:59:59.000Z

437

Pollution and the price of power  

Science Conference Proceedings (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

438

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

Gasoline and Diesel Fuel Update (EIA)

Coal Prices to Electric Generating Plants, Projected vs. Actual Coal Prices to Electric Generating Plants, Projected vs. Actual (nominal dollars per million Btu) 1985 1986 1987 1988 1989 1990 1991 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 2002 2003 2004 2005 2006 2007 2008 2009 AEO 1982 2.03 2.17 2.33 2.52 2.73 2.99 AEO 1983 1.99 2.10 2.24 2.39 2.57 2.76 4.29 AEO 1984 1.90 2.01 2.13 2.28 2.44 2.61 3.79 AEO 1985 1.68 1.76 1.86 1.95 2.05 2.19 2.32 2.49 2.66 2.83 3.03 AEO 1986 1.61 1.68 1.75 1.83 1.93 2.05 2.19 2.35 2.54 2.73 2.92 3.10 3.31 3.49 3.68 AEO 1987 1.52 1.55 1.65 1.75 1.84 1.96 2.11 2.27 2.44 3.55 AEO 1989* 1.50 1.51 1.68 1.77 1.88 2.00 2.13 2.26 2.40 2.55 2.70 2.86 3.00 AEO 1990 1.46 1.53 2.07 2.76 3.7 AEO 1991 1.51 1.58 1.66 1.77 1.88 1.96 2.06 2.16 2.28 2.41 2.57 2.70 2.85 3.04 3.26 3.46 3.65 3.87 4.08 4.33 AEO 1992 1.54 1.61 1.66 1.75 1.85 1.97 2.03 2.14 2.26 2.44 2.55 2.69 2.83 3.00 3.20 3.40 3.58 3.78 4.01 AEO 1993 1.92 1.54 1.61 1.70

439

Brazil and the electrical interconnections in the Mercosul Region  

Science Conference Proceedings (OSTI)

This article describes the state of relations among the four countries that form Mercosul, the common market that is being formed by Argentina, Brazil, Paraguay, and Uruguay, and the prospects for expansion of international electric energy commerce and exchanges in that region. The first part presents the main supply facilities already available, including hydroelectric power plants, power stations, frequency conversion stations, and transmission lines. The second part focuses on the status of the Brazilian electric power sector and analyzes some of its features that are considered to be an incentive to the expansion of the electric energy international commerce in the Mercosul region.

Alqueres, J.L.

1994-06-01T23:59:59.000Z

440

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: August 2011 The U.S. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at...

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

EIA Energy Prices  

U.S. Energy Information Administration (EIA)

This publication includes total energy production, consumption, and trade; energy prices; overviews of petroleum, natural gas, coal, electricity, nuclear energy, ...

442

Table 8.10 Average Retail Prices of Electricity, 1960-2011 (Cents ...  

U.S. Energy Information Administration (EIA)

1 Commercial sector. For 1960–2002, prices exclude public street and highway lighting, interdepartmental sales, and other sales to public authorities.

443

What is the average price of natural gas for electric-power ...  

U.S. Energy Information Administration (EIA)

Reserves, production, prices, employ- ment and productivity, distribution, stocks, imports and exports. ... How much does it cost to produce crude oil and natural gas?

444

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

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

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

445

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

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

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

446

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

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

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

447

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

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

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

448

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

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

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

449

Variable-response model of electricity demand by time of day: Results of a Wisconsin pricing experiment: Final report  

Science Conference Proceedings (OSTI)

Observationally alike households may differ in demand parameters and thus in economic quantities that are functions of those parameters. We have proposed a methodology for dealing with this variation. Estimation of both translog and CES versions of the model with data from the Wisconsin Electricity Pricing Experiment revealed considerable variation among households in time-of-day electricity consumption demand parameters for both summer and winter seasons and for several different definitions of the peak period. Observed household characteristics explained only a small share of total household differences, but permanent household differences dominated month-to-month variation in either expenditure shares or log consumption ratios in most cases. Permanent differences among households are important relative to total variation, including transitory month-to-month variation. We calculated various economic variables from the demand parameters, including the partial elasticity of substitution, compensated and uncompensated elasticities, and a measure of electricity expenditure under peak load pricing required to maintain the utility level under flat rate pricing relative to the flat rate expenditure. Because these are nonlinear functions of the household demand parameters, the mean parameter value over households with different demand parameters may be substantially different from the value of the function at mean values, under the representative household paradigm. For time-of-day electricity demand, variation among households is significant but small relative to mean parameter values. Therefore, controlling for the effect of household variation makes little difference in these mean calculations, but it does imply substantial variation among households in the welfare implications (and elasticities of response) of the introduction of time-of-day pricing. 25 refs., 12 tabs.

Lillard, L.

1987-06-01T23:59:59.000Z

450

Natural Gas Citygate Price  

U.S. Energy Information Administration (EIA)

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

451

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

E-Print Network (OSTI)

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

Bolinger, Mark A

2009-01-01T23:59:59.000Z

452

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

E-Print Network (OSTI)

of the natural gas commodity market demanded a more independent look at natural gas prices. In the 1991. A second consideration was the advice of the Council's Natural Gas Policy, Natural Gas Advisory, and Demand. Figure C-1 illustrates this for world oil prices, and similar patterns apply to natural gas. The last

453

Real Time Pricing and the Real Live Firm  

E-Print Network (OSTI)

2002. “Industrial response to electricity real-time prices:industrial customer operated their facility using hourly electricity prices

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

2004-01-01T23:59:59.000Z

454

Real Estate Prices and Economic Cycles  

E-Print Network (OSTI)

Hyclak, T. (1994) “ House Prices, Migration, and RegionalPoterba, J. M. (1991) “House Price Dynamics: The Role of TaxVariations in Regional Housing Prices Predictable? ” mimeo,

Quigley, John M.

2002-01-01T23:59:59.000Z

455

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

E-Print Network (OSTI)

assumes that retail electricity rates are set once a yearmarkets, retail electricity rates have been capped fordimension along which electricity rates have sometimes

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

456

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

months when buildings' electricity demand is also high dueoptimize buildings' electricity demand according to hourlymonths when buildings' electricity demand is also high due

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

457

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

E-Print Network (OSTI)

issues regarding the electricity market microstructureEl-Ex, 1999, Elbas, (Electricity Exchange Ltd. ). Eydeland,bidding in the Norwegian electricity market, Working Paper

Lucia, Julio J.; Schwartz, Eduardo

2000-01-01T23:59:59.000Z

458

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

E-Print Network (OSTI)

the ?uctuations in electricity bills that are conceivable.concern about analyzing electricity bill volatility of largeat a The issue of electricity bill volatility from RTP

Borenstein, Severin

2007-01-01T23:59:59.000Z

459

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

charges to avoid high electricity bills. Demand Responseaffect customers' electricity bills negatively. Therefore,charges to avoid high electricity bills Under ConEd's SC-9

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

460

Determinants of residential electrical appliance usage in the Tri-State Region, 1960-1970: a regression study. Working paper  

SciTech Connect

The possible impact of areawide residential location policy on future residential electricity usage in the Tri-State Metropolitan Region centering on New York City is investigated. This study was undertaken to assess residential electricity usage, particularly electrical appliance use, in the residential sector of the New York Metropolitan area from 1960 to 1970. The attempts to choose and quantify the contribution of various determinants of electrical appliance usage using multiple regression analyses has been relatively successful. In addition, these results were compared with 1960 and 1970 data in an effort to establish a degree of consistency over time. The implications of the findings here point toward two complementary institutions for change: urban planning and public administration. The relationship between single family structures and high energy usage argue strongly for more dense communities, while price elasticities can be used by regulators to control electrical usage.

Stone, B.

1974-05-01T23:59:59.000Z

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.


461

Natural Gas Wellhead Price  

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

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

462

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Edison/Rates and Tariffs /Schedule for Electricity Service,Edison/Rates and Tariffs /Schedule for Electricity Service,

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

463

Furnace Blower Electricity: National and Regional Savings Potential  

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

Furnace Blower Electricity: National and Regional Savings Potential Furnace Blower Electricity: National and Regional Savings Potential Title Furnace Blower Electricity: National and Regional Savings Potential Publication Type Report LBNL Report Number LBNL-417E Year of Publication 2008 Authors Franco, Victor H., James D. Lutz, Alexander B. Lekov, and Lixing Gu Document Number LBNL-417E Pagination 14 Date Published August 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract 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 80% 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 pressureused 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, whilewarm 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.

464

Future demand for electricity in the Nassau--Suffolk region  

DOE Green Energy (OSTI)

Brookhaven National Laboratory established a new technology for load forecasting for the Long Island Lighting Company and prepared an independent forecast of the demand for electricity in the LILCO area. The method includes: demand for electricity placed in a total energy perspective so that substitutions between electricity and other fuels can be examined; assessment of the impact of conservation, new technology, gas curtailment, and other factors upon demand for electricity; and construction of the probability distribution of the demand for electricity. A detailed analysis of changing levels of demand for electricity, and other fuels, associated with these new developments is founded upon a disaggregated end-use characterization of energy utilization, including space heat, lighting, process energy, etc., coupled to basic driving forces for future demand, namely: population, housing mix, and economic growth in the region. The range of future events covers conservation, heat pumps, solar systems, storage resistance heaters, electric vehicles, extension of electrified rail, total energy systems, and gas curtailment. Based upon cost and other elements of the competition between technologies, BNL assessed the likelihood of these future developments. An optimistic view toward conservation leads to ''low'' demand for electricity, whereas rapid development of new technologies suggests ''high'' demand. (MCW)

Carroll, T.W.; Palmedo, P.F.; Stern, R.

1977-12-01T23:59:59.000Z

465

www.ucei.org Customer Risk from Real-Time Retail Electricity Pricing: Bill Volatility and Hedgability  

E-Print Network (OSTI)

Abstract: One of the most critical concerns that customers have voiced in the debate over real-time retail electricity pricing is that they would be exposed to risk from fluctuations in their electricity cost. The concern seems to be that a customer could find itself consuming a large quantity of power on the day that prices skyrocket and thus receive a monthly bill far larger than it had budgeted for. I analyze the magnitude of this risk, using demand data from 1142 large industrial customers, and then ask how much of this risk can be eliminated through various straightforward financial instruments. I find that very simple hedging strategies can eliminate more than 80 % of the bill volatility that would otherwise occur. Far from being complex, mystifying financial instruments that only a Wall Street analyst could love, these are simple forward power purchase contracts, and are already offered to retail customers by a number of fully-regulated utilities that operate real-time pricing programs. I then show that a slightly more sophisticated application of these forward power purchases can significantly enhance their effect on reducing bill volatility. 1

Severin Borenstein; Severin Borenstein

2006-01-01T23:59:59.000Z

466

Southeast European Regional Electricity Market Analysis | Open Energy  

Open Energy Info (EERE)

Electricity Market Analysis Electricity Market Analysis Jump to: navigation, search Name Southeast European Regional Electricity Market analysis Agency/Company /Organization Argonne National Laboratory Partner United States Agency for International Development, Montgomery Watson Harza Sector Energy Topics Market analysis, Background analysis Website http://www.dis.anl.gov/news/Ba UN Region "Western & Eastern Europe" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

467

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

and Demand Response in Electricity Markets." University ofRates and Tariffs /Schedule for Electricity Service, P.S.C.no. 10- Electricity/Rules 24 (Riders)/Leaf No. 177-327."

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

468

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

E-Print Network (OSTI)

which market participants trade electricity for the entireterm trade launched in March 1999 by the Finish electricityElectricity Clearing (NEC), Nord Pool guarantees settlement and delivery of all trades

Lucia, Julio J.; Schwartz, Eduardo

2000-01-01T23:59:59.000Z

469

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

E-Print Network (OSTI)

2. To reduce overall electricity bills 3. To reduce peak-8 2. To reduce overall electricity bills 3. To reduce peak-2. To reduce overall electricity bills 3. To reduce peak-

2005-01-01T23:59:59.000Z

470

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

E-Print Network (OSTI)

I calculate the electricity bills for each of the 1142arrangements on the customer’s electricity bill. On averageless than half of the electricity bill, so the proportional

Borenstein, Severin

2007-01-01T23:59:59.000Z

471

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

472

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

E-Print Network (OSTI)

New Jersey and Maryland (PJM) electricity market. Consistentelectricity market known as PJM by constructing a simulationWe apply the model to the PJM electricity market, which

Holland, Stephen P.; MANSUR, ERIN T

2005-01-01T23:59:59.000Z

473

The UK Electricity Markets: Its Evolution, Wholesale Prices and Challenge of Wind Energy.  

E-Print Network (OSTI)

??This thesis addresses the problems associated with security of the electricity supply in the UK. The British electricity supply industry has experienced a significant structural… (more)

Cui, Cathy Xin

2010-01-01T23:59:59.000Z

474

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

E-Print Network (OSTI)

nature of electric service and usage, defining the hoursElectric. 12 The resulting evaluation report estimated elasticities and found measurable reductions in energy usage

2005-01-01T23:59:59.000Z

475

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: September 2011 Regional Wholesale Markets: September 2011 The United States. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily price and demand data is shown for the month of September 2011 and for the year ending on September 30, 2011. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest (Palo Verde) and

476

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: March 2012 Regional Wholesale Markets: March 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

477

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: November 2011 Regional Wholesale Markets: November 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

478

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: December 2011 Regional Wholesale Markets: December 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

479

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: January 2012 Regional Wholesale Markets: January 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

480

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: October 2011 Regional Wholesale Markets: October 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

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481

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: February 2012 Regional Wholesale Markets: February 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

482

Regional load-curve models: scenario and forecast using the DRI model. Final report. [Forecasts of electric power loads in 32 US regions  

SciTech Connect

Regional load curve models were constructed for 32 regions that have been created by aggregating hourly load data from 146 electric utilities. These utilities supply approximately 95% of the electricity consumed in the continental US. The 32 models forecast electricity demands by hour, 8784 regional load forecasts per year. Because projections are made for each hour in the year, contemporaneous forecasts are available for peak demands, megawatt hour demands, load factors, load duration curves, and typical load shapes. The forecast scenario is described and documented in this volume and the forecast resulting from the use of this scenario is presented. The highlights of this forecast are two observations: (1) peak demands will once again become winter phenomena. By the year 2000, 18 of the 32 regions peak in a winter month as compared with the 8 winter peaking regions in 1977. In the heating season, the model is responsive to the number of heating degree-hours, the penetration rate of electric heating equipment, and the rate at which this space conditioning equipment is utilized, which itself is functionally dependent on the level of real electricity prices and real incomes. Thus, as the penetration rate of electric heating equipment increases, winter season demands grow more rapidly than demands in other seasons and peaks begin to appear in winter months; and (2) load factors begin to increase in the forecast, reversing the trend which began in the early 1960s. Nationally, load factors do not leap upwards, instead they increase gradually from .609 in 1977 to .629 in the year 2000. The improvement is more consequential in some regions, with load factors increasing, at times, by .10 or more. In some regions, load factors continue to decline.

Platt, H.D.

1981-08-01T23:59:59.000Z

483

Furnace Blower Electricity: National and Regional Savings Potential  

Science Conference Proceedings (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

484

Nevada Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

485

Pennsylvania Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

486

Delaware Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

487

Washington Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

488

Ohio Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

Natural Gas Prices (Dollars per Thousand Cubic Feet, except where noted) Area: ... electric power price data are for regulated electric utilities only; ...

489

Natural Gas Market Regionalization and Implications  

Science Conference Proceedings (OSTI)

Natural gas producers, pipeline companies, electric utilities, and other end users all have a stake in understanding the dynamics of regional gas prices. This is especially true with evolving linkages between natural gas and power prices. This report addresses problems that appeared in the natural gas market during the winter of 1995/96 and again in 1996/97 when regional gas prices departed dramatically from their historic norms. Are regional gas price relationships becoming increasingly unpredictable?

1998-05-13T23:59:59.000Z

490

Lake Region Electric Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

Lake Region Electric Assn, Inc Lake Region Electric Assn, Inc Place South Dakota Utility Id 10632 Utility Location Yes Ownership C NERC Location MRO NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service - Large Three Phase Heating(Separate Metering) Industrial General Service Single Phase Commercial General Service Single Phase (Heat-separate meter) Commercial General Service- Large Three-Phase Controlled Commercial General Service- Large Three-Phase uncontrolled Industrial General Service- Seasonal Service Commercial General Service- Small Three-Phase Commercial

491

Can Deployment of Renewable Energy and Energy Efficiency Put Downward Pressure on Natural Gas Prices  

E-Print Network (OSTI)

increase retail electricity prices on a national averageinduced increase in electricity prices predicted by many ofprices while retail electricity prices are predicted to rise

Wiser, Ryan; Bolinger, Mark

2005-01-01T23:59:59.000Z

492

Empirical analysis of the spot market implications of price-elastic demand  

E-Print Network (OSTI)

are exposed to real-time electricity prices, then they cansustained increases in the electricity price. Greater pricethe market-clearing electricity price. Indeed, the remaining

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

2004-01-01T23:59:59.000Z

493

Empirical Analysis of the Spot Market Implications of Price-Responsive Demand  

E-Print Network (OSTI)

are exposed to real-time electricity prices, they can adjustCustomers Respond to Electricity Price Variability: A Studyhours lowers the electricity spot price and reduces needed

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

2008-01-01T23:59:59.000Z

494

WOPR Seminar Series Responsiveness of Residential Electricity Demand to Changes in Price and Policy  

E-Print Network (OSTI)

Energy policy makers and scholars have sought to understand behavioral patterns of the residential energy consumers so as to design effective policies. Along the guideline of the literature, this study probes how consumers respond to changes in energy price in the short run with individual household survey data and analyzes how the consumers ’ behavioral attributes and

Youngsun Baek

2010-01-01T23:59:59.000Z

495

Estimated effect of eliminating TVA electricity demand charges on the price of enriched uranium  

Science Conference Proceedings (OSTI)

An estimate of the price of enrichment services from fiscal years 1984 through 1995 are forecast assuming demand charges were eliminated and TVA power rates were set. Uranium enrichment program officials estimated the TVA power rate and TVA officials confirmed the reasonableness of that estimate.

Not Available

1983-10-11T23:59:59.000Z

496

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

E-Print Network (OSTI)

exploration, and lower expected costs of finding and producing these fuels. The theories of oil and gas supply. Figure C-1 illustrates this for world oil prices, and similar patterns apply to natural gas. The last has resulted in increased estimates of energy supplies, increased success rates in oil and gas

497

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network (OSTI)

California retail industrial electricity price, as reportedindustrial customers, 2005 source: CAISO (2006) 2005 TOU electricity prices

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

498

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

SciTech Connect

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

499

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

DOE Green Energy (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

500

What Is Price Volatility  

Gasoline and Diesel Fuel Update (EIA)

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