Powered by Deep Web Technologies
Note: This page contains sample records for the topic "higher 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

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

2

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 ...

3

High Electricity Prices  

E-Print Network (OSTI)

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

Kevin Counsell; Graeme Guthrie; Steen Videbeck

2006-01-01T23:59:59.000Z

4

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

E-Print Network (OSTI)

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

Kolstad, Jonathan; Wolak, Frank

2003-01-01T23:59:59.000Z

5

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

6

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 ...

7

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

8

Heat wave contributes to higher summer electricity demand in...  

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

contributes to higher summer electricity demand in the Northeast In its new energy forecast, the U.S. Energy Information Administration expects summer retail electricity prices...

9

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

10

Higher oil prices: Can OPEC raise prices by cutting production  

Science Conference Proceedings (OSTI)

OPEC's ability to raise prices is evaluated with a model that projects the supply and demand. As part of the model, a new methodology to forecast for the rate of production by non-OPEC nations is developed. A literature review of techniques for estimating oil supply and annual rates of production indicates a new methodology is needed. The new technique incorporates the geological, engineering, and economic aspects of the oil industry by synthesizing curve fitting and econometric techniques. It is used to analyze data for eight regions for non-OPEC oil production: the lower 48 states, Alaska, Canada, Mexico, non-OPEC South America, Western Europe, non-OPEC Africa, and non-OPEC Asia. OPEC's ability to raise prices is examined by tracking the percentage oil US oil demand supplied by imports, the portion of oil demand in Western Europe supplied by local production, the percentage of WOCA oil demand supplied by OPEC and Real OPEC revenues. Results of the model indicate that OPEC can raise oil prices in the early 1990s. OPEC can raise and sustain oil prices near $25 (1982 dollars). Higher oil prices ($35) are not sustainable before 2000 because reduced demand and increased non-OPEC production shrink OPEC revenues below acceptable levels. After 2000, $35 prices are sustainable.

Kaufmann, R.K.

1988-01-01T23:59:59.000Z

11

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

12

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

13

Higher Prices from Entry: Pricing of Brand-Name Drugs  

E-Print Network (OSTI)

with Distance Figure 6 Cumulative Unexpected Price Effectsand Paul J. Seguin, "Price Volatility, Trading Volume andGoods in Pharmaceutical Price In- dexes," American Economic

Perloff, Jeffrey M.; Suslow, Valerie Y.; Seguin, Paul J.

1995-01-01T23:59:59.000Z

14

Higher Prices from Entry: Pricing of Brand-Name Drugs  

E-Print Network (OSTI)

4 Bertrand and Cartel Prices Vary with z 7T, CS L Figure 5Distance Cumulative Abnormal Price Changes (%) Dissimilarof New Drug Figure 6 Cumulative Unexpected Price Effects

Perloff, Jeffrey M.; Suslow, Valerie Y.; Seguin, Paul J.

1995-01-01T23:59:59.000Z

15

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

16

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

17

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

18

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

19

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

20

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

Note: This page contains sample records for the topic "higher 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

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

22

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

23

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

24

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

25

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.

26

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

27

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

28

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

29

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

30

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

31

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

32

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

33

The mirage of higher petroleum prices  

SciTech Connect

Most petroleum industry price forecasters do not possess a record of which they can be proud. Long-term petroleum market forecasting has been so inaccurate that it has often been described as virtually impossible. To avoid criticism of their performance, many organizations no longer circulate their forecasts. Why have the forecasts been so wrong? Because of failure to predict supply. This paper reviews the erroneous methods used to predict price trends in the oil and gas industry and identifies methods to correct the problem.

Lynch, M.C. [Massachusetts Inst. of Tech., Cambridge, MA (United States). Center for International Studies

1996-02-01T23:59:59.000Z

34

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 ...

35

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

36

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

37

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.

38

Higher price expectations are spurring optimism  

Science Conference Proceedings (OSTI)

This article reports on some encouraging developments for industry in the '80s despite one of the most sever price downturns in the history of the business. The 1970s were characterized by a boom solely led by price increases. The 1990:0090s should see some price growth and profitability caused by efficiency. Technologies such as 3-D seismic and horizontal drilling will allow the U.S. and other high cost areas to once again expand activity in the oil patch. While the 1980s can be viewed as one of industry's most trying times, many advances in technology funded during boom years came and are coming to fruition. Finding, developing and producing reserves at the lowest possible cost will be the theme of the '90s if the U.S. oil and gas business and other high cost countries are to stay in the game. Advancements in drilling and completion technology for horizontal wells is an excellent case in point. Multiple developments in MWD, logging, tubing-conveyed or drill sting-conveyed systems, underbalanced drilling techniques, moving equipment around tight angles, and many other developments have made horizontal drilling the in subject of today. Formations like the Austin Chalk in Texas may finally be economic despite failures of vertical wells, even in the boom times. While no panacea, horizontal drilling has the potential for improving per well productivities in many environments.

Crouse, P.C. (Philip C. Crouse and Associates, Inc., Dallas, TX (US))

1990-02-01T23:59:59.000Z

39

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

40

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

Note: This page contains sample records for the topic "higher 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 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

42

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

43

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

E-Print Network (OSTI)

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

44

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

45

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

46

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

47

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

48

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)"...

49

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

50

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...

51

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

52

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

53

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

54

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

55

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

56

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

57

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

58

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

59

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

60

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

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


61

Electricity 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

62

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

63

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

64

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.

65

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

66

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.

67

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...

68

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

69

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

70

Simulating option prices and sensitivities by higher rank lattice rules  

Science Conference Proceedings (OSTI)

In this paper we introduce the intermediate rank or higher rank lattice rule for the general case when the number of quadrature points is ntm, where m is a composite integer, t is the rank of the rule, n is an integer ... Keywords: Monte Carlo and Quasi-Monte Carlo methods, lattice rules, option pricing, simulation of multivariate integrations

Yongzeng Lai

2006-05-01T23:59:59.000Z

71

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.

72

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

73

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

74

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

75

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.

76

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...

77

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...

78

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...

79

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

80

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

Note: This page contains sample records for the topic "higher 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

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

82

,"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...

83

,"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...

84

,"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...

85

,"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...

86

,"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...

87

,"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...

88

,"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...

89

,"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...

90

,"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...

91

,"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...

92

,"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...

93

,"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...

94

,"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...

95

,"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...

96

,"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...

97

,"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...

98

,"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...

99

,"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...

100

,"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...

Note: This page contains sample records for the topic "higher 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

,"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...

102

,"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...

103

,"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...

104

,"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...

105

,"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...

106

,"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...

107

,"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...

108

,"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...

109

,"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...

110

,"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...

111

,"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...

112

,"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...

113

,"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...

114

,"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...

115

,"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...

116

,"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...

117

,"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...

118

,"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...

119

,"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...

120

,"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...

Note: This page contains sample records for the topic "higher 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

,"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...

122

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):...

123

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 ...

124

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...

125

,"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...

126

,"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...

127

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 ...

128

,"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...

129

,"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...

130

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...

131

,"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...

132

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

133

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

134

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

135

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

136

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

137

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

138

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

139

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

140

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

Note: This page contains sample records for the topic "higher 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

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

142

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

143

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

144

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

145

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"

146

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

peak prices) to reduce electricity bill volatility. Smallwith higher or lower electricity bills than desired, since

Ghatikar, Girish

2010-01-01T23:59:59.000Z

147

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

148

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"

149

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

150

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.

151

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 ...

152

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

153

Natural gas prices near 10-year low amid mild weather, higher ...  

U.S. Energy Information Administration (EIA)

April 19, 2012 Natural gas prices near 10-year low amid mild weather, higher supplies in winter 2011-12. Natural gas prices continued their downward trend this winter ...

154

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

155

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

156

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...

157

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.

158

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.

159

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 ...

160

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...

Note: This page contains sample records for the topic "higher 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

,"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...

162

,"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)"...

163

,"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)"...

164

,"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)"...

165

,"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...

166

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...

167

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

168

,"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)"...

169

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

170

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

171

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

172

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

173

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

174

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

175

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

176

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

177

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

178

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

179

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

180

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

Note: This page contains sample records for the topic "higher 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

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

182

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...

183

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

184

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

185

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.

186

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

187

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

188

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

189

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

190

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

191

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 ...

192

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

193

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

194

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

195

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

196

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

197

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

198

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

199

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

200

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

Note: This page contains sample records for the topic "higher 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

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

202

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

203

Pricing American Asian options with higher moments in the underlying distribution  

Science Conference Proceedings (OSTI)

We develop a modified Edgeworth binomial model with higher moment consideration for pricing American Asian options. With lognormal underlying distribution for benchmark comparison, our algorithm is as precise as that of Chalasani et al. [P. Chalasani, ... Keywords: American Asian options, Edgeworth binomial model, Higher moment

Keng-Hsin Lo; Kehluh Wang; Ming-Feng Hsu

2009-01-01T23:59:59.000Z

204

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

205

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

206

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

207

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

208

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

209

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

210

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

211

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

212

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 ...

213

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

214

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

215

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

216

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

217

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"

218

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

219

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

220

"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"

Note: This page contains sample records for the topic "higher 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

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

222

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

223

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

224

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 ...

225

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

226

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

227

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

228

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

229

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...

230

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

231

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

232

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

233

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

234

Optimization Online - Leader-Follower Equilibria for Electric Power ...  

E-Print Network (OSTI)

Aug 16, 2004 ... The allowances price is higher than the corresponding price in the Nash-Cournot case, although the electricity prices are essentially the same.

235

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

236

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

237

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

238

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

239

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

240

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:

Note: This page contains sample records for the topic "higher 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

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 ...

242

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

243

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

244

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 ...

245

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

246

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

247

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

248

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

249

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

250

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

251

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

252

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

253

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

254

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

255

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

256

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

257

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) -...

258

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) -...

259

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) -...

260

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 "higher 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

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

262

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

263

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

264

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...

265

,"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"...

266

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

267

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

268

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.

269

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...

270

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

271

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

272

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

273

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

274

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

275

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

276

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

277

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

278

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

279

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

280

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

Note: This page contains sample records for the topic "higher 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

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

282

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

283

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

284

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)

285

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

286

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

287

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

288

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

289

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

290

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

291

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

292

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

293

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

294

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

295

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

296

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

297

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 ...

298

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

299

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 ...

300

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

Note: This page contains sample records for the topic "higher 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

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

302

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

303

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

304

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

305

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

306

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

307

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

308

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

309

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

310

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

311

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

312

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

313

Energy Demand: Limits on the Response to Higher Energy Prices in the End-Use Sectors (released in AEO2007)  

Reports and Publications (EIA)

Energy consumption in the end-use demand sectorsresidential, commercial, industrial, and transportationgenerally shows only limited change when energy prices increase. Several factors that limit the sensitivity of end-use energy demand to price signals are common across the end-use sectors. For example, because energy generally is consumed in long-lived capital equipment, short-run consumer responses to changes in energy prices are limited to reductions in the use of energy services or, in a few cases, fuel switching; and because energy services affect such critical lifestyle areas as personal comfort, medical services, and travel, end-use consumers often are willing to absorb price increases rather than cut back on energy use, especially when they are uncertain whether price increases will be long-lasting. Manufacturers, on the other hand, often are able to pass along higher energy costs, especially in cases where energy inputs are a relatively minor component of production costs. In economic terms, short-run energy demand typically is inelastic, and long-run energy demand is less inelastic or moderately elastic at best.

Information Center

2007-03-11T23:59:59.000Z

314

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

315

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.

316

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

317

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

318

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

319

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

320

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

Note: This page contains sample records for the topic "higher 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

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

322

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 ...

323

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

324

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

325

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...

326

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

327

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

328

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

329

Electric and magnetic Weyl tensors in higher dimensions  

E-Print Network (OSTI)

Recent results on purely electric (PE) or magnetic (PM) spacetimes in n dimensions are summarized. These include: Weyl types; diagonalizability; conditions under which direct (or warped) products are PE/PM.

Sigbjørn Hervik; Marcello Ortaggio; Lode Wylleman

2013-01-16T23:59:59.000Z

330

Heat wave contributes to higher summer electricity demand in...  

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

more than a decade, according to the U.S. Energy Information Administration EIA's new forecast shows household electricity use is expected to drop 1.1 percent this year and then...

331

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

332

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

333

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

334

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

335

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

336

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

337

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

338

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

339

spot prices - U.S. Energy Information Administration (EIA)  

U.S. Energy Information Administration (EIA)

Natural gas prices near 10-year low amid mild weather, higher supplies in winter 2011-12. ... Coal Natural Gas Renewable Nuclear Electricity Consumption Total Energy.

340

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

Note: This page contains sample records for the topic "higher 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

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

342

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

343

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

344

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

345

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

346

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

347

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

348

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

349

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...

350

Electricity restored to many in the Northeast but outages persist ...  

U.S. Energy Information Administration (EIA)

Electricity. Sales, revenue and prices, power plants, fuel use, ... Most of these costs will be passed on to retail consumers through higher electricity rates, ...

351

Coal regains some electric generation market share from natural ...  

U.S. Energy Information Administration (EIA)

... a combination of higher prices for natural gas and increased demand for electricity during the summer months led electric systems across much of the country to ...

352

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

353

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,

354

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

355

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

356

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

357

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

358

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

359

Retrospective Evaluation of Appliance Price Trends  

E-Print Network (OSTI)

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

Dale, Larry

2010-01-01T23:59:59.000Z

360

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

Note: This page contains sample records for the topic "higher 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

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

362

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

363

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

364

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

365

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

366

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

367

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

368

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...

369

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

370

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

371

Higher Tobacco Prices and Taxes in South East Asia: An Effective Tool to Reduce Tobacco Use, Save Lives and Generate Revenue  

E-Print Network (OSTI)

1 3. PRICES, TAXES AND GOVERNMENTWonder Marlboro Local brand Price per pack (20 sticks) LCU2003 b Minimum retail prices as of November 2002 Figure 1.

Guindon, G. Emmanuel; Perucic, Anne-Marie; Boisclair, David

2004-01-01T23:59:59.000Z

372

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

373

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, ...

374

Higher U.S. Crop Prices Trigger Little Area Expansion so Marginal Land for Biofuel Crops Is Limited  

SciTech Connect

By expanding energy biomass production on marginal lands that are not currently used for crops, food price increases and indirect climate change effects can be mitigated. Studies of the availability of marginal lands for dedicated bioenergy crops have focused on biophysical land traits, ignoring the human role in decisions to convert marginal land to bioenergy crops. Recent history offers insights about farmer willingness to put non-crop land into crop production. The 2006-09 leap in field crop prices and the attendant 64% gain in typical profitability led to only a 2% increase in crop planted area, mostly in the prairie states

Swinton, S.; Babcock, Bruce; James, Laura; Bandaru, Varaprasad

2011-06-12T23:59:59.000Z

375

CSEM WP 105 Dynamic Pricing, Advanced Metering and  

E-Print Network (OSTI)

. As the feed-in tariff is higher than the average electricity price on the wholesale market, the system of the overall cost of green electricity production sought by the government. Guaranteed feed-in tariffs offer environment (feed-in tariffs as price based system on one hand, quotas + green certificates, competitive

California at Berkeley. University of

376

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.

377

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?

378

,"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)"

379

,"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)"

380

,"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)"

Note: This page contains sample records for the topic "higher 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

,"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)"

382

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

383

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

384

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 ...

385

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

386

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

387

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

388

Liquid Fuel From Renewable Electricity and Bacteria: Electro-Autotrophic Synthesis of Higher Alcohols  

SciTech Connect

Electrofuels Project: UCLA is utilizing renewable electricity to power direct liquid fuel production in genetically engineered Ralstonia eutropha bacteria. UCLA is using renewable electricity to convert carbon dioxide into formic acid, a liquid soluble compound that delivers both carbon and energy to the bacteria. The bacteria are genetically engineered to convert the formic acid into liquid fuel—in this case alcohols such as butanol. The electricity required for the process can be generated from sunlight, wind, or other renewable energy sources. In fact, UCLA’s electricity-to-fuel system could be a more efficient way to utilize these renewable energy sources considering the energy density of liquid fuel is much higher than the energy density of other renewable energy storage options, such as batteries.

2010-07-01T23:59:59.000Z

389

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

390

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

391

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

392

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

393

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

394

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

395

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

396

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

397

Forecast Prices  

Gasoline and Diesel Fuel Update (EIA)

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

398

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

399

Electricity Price Formation -- Lessons from the Western U.S.: Report Series on Fuel and Power Market Integration  

Science Conference Proceedings (OSTI)

The Western United States is a laboratory for observing the operation of competitive wholesale power markets. Combining a review of the fuel and power infrastructure with observations on market behavior and contractual practices, this report provides evidence of growing interdependence of fuel and power prices. This relationship is expected to strengthen and become more volatile as the fuel and power industries move toward ever higher levels of capacity utilization.

1997-08-19T23:59:59.000Z

400

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

Note: This page contains sample records for the topic "higher 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

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

402

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

403

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

404

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

405

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

406

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

407

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

408

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; ...

409

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; ...

410

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; ...

411

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; ...

412

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; ...

413

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

414

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

415

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

416

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

417

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

418

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

419

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

420

results presented and for the opinions expressed in the paper rests solely with the authors. Energy Pricing and Temperature Interaction: British Experimental Evidence  

E-Print Network (OSTI)

The responsiveness of energy demand to pricing is shown to be dependent on temperature and vice versa. This is investigated empirically using residential electricity demand data obtained under conditions of price variation from a British time-of-use pricing experiment. Results confirm that consumer response to higher electricity prices may be conditional on temperature levels, particularly during the day-time and for households with high overall levels of electricity consumption.

Andrew Henley; John Peirson; Andrew Henley; John Peirson

1996-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "higher 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

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

422

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

E-Print Network (OSTI)

and of the presence of spikes by measuring the risk on a power plant portfolio. Keywords: Electricity markets; spot Abstract The recent liberalization of the electricity and gas markets has resulted in the growth of energy

423

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

E-Print Network (OSTI)

Energy Modeling System); POEMS (Policy Office Electricity Modeling System), CRA (Charles River Associates), NANGAS (North American Natural Gas Analysis

Wiser, Ryan

2005-01-01T23:59:59.000Z

424

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

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

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

425

Prices and Price Setting.  

E-Print Network (OSTI)

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

Faber, R.P.

2010-01-01T23:59:59.000Z

426

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

E-Print Network (OSTI)

and Fezzi (2009) further quantify the mutual interactions of electricity, gas and carbon prices in the UK-through of carbon prices into electricity prices, and the response of electricity and carbon prices to shocks on a counterfactual scenario for the demand for electricity, the CO2 price, and fuel prices, their simulations

Paris-Sud XI, Université de

427

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

Gasoline and Diesel Fuel Update (EIA)

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

428

Transmission Price Risk Management  

Science Conference Proceedings (OSTI)

This report is concerned with the financial risks that arise from the uncertain price of transmission service in restructured or competitive electricity markets. These risks are most severe in markets with locational pricing (LMP), but they also exist in more traditionally organized electricity markets. This report has two main purposes. The first is to review the existing mathematical models of electricity price formation in spot and forward markets that may be helpful as the foundations for developing ...

2006-12-04T23:59:59.000Z

429

Option Value of Electricity Demand Response  

E-Print Network (OSTI)

Customers Respond to Electricity Price Variability: A Studyand lower average electricity prices paid by consumers. Inperiods with high electricity prices; (2) load displacement,

Sezgen, Osman; Goldman, Charles; Krishnarao, P.

2005-01-01T23:59:59.000Z

430

Utility-aware deferred load balancing in the cloud driven by dynamic pricing of electricity  

Science Conference Proceedings (OSTI)

Distributed computing resources in a cloud computing environment provides an opportunity to reduce energy and its cost by shifting loads in response to dynamically varying availability of energy. This variation in electrical power availability is represented ...

Muhammad Abdullah Adnan, Rajesh Gupta

2013-03-01T23:59:59.000Z

431

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

E-Print Network (OSTI)

In the past several decades, many demand-side participation features have been applied in the electricity power systems. These features, such as distributed generation, on-site storage and demand response, add uncertainties ...

Wang, Jiankang, S.M. Massachusetts Institute of Technology

2009-01-01T23:59:59.000Z

432

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

E-Print Network (OSTI)

policies on the natural gas market. References American Council for an Energy-Energy Modeling System); POEMS (Policy Office Electricity Modeling System), CRA (Charles River Associates), NANGAS (North American

Wiser, Ryan

2005-01-01T23:59:59.000Z

433

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

434

Retail Propane Prices  

Gasoline and Diesel Fuel Update (EIA)

6 Notes: Consistent with spot prices, residential propane prices have been higher all winter than during the past several years. The recent surge is mainly the result of the surge...

435

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

436

Average Commercial Price  

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

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

437

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

438

Natural Gas Industrial Price  

Gasoline and Diesel Fuel Update (EIA)

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

439

Average Residential Price  

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

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

440

Flexible Demand Management under Time-Varying Prices  

E-Print Network (OSTI)

2.4 When Price Is Uncertain . . . . . . . . . .of the Parameters of the Price Structures . . . . . . .Day in a Typical Hourly Average Electricity Prices . . . . .

Liang, Yong

2012-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "higher 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 projects record winter household heating oil prices in the ...  

U.S. Energy Information Administration (EIA)

Home; Browse by Tag; Most Popular Tags. electricity; oil/petroleum; liquid fuels; natural gas; prices; states; ... Heating oil prices largely reflect crude oil prices.

442

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

E-Print Network (OSTI)

of Renewable and Natural Gas Electricity Contracts: Afor Fuel Price Risk: Using Forward Natural Gas PricesInstead of Gas Price Forecasts to Compare Renewable to Gas-

Bolinger, Mark; Wiser, Ryan; Golove, William

2004-01-01T23:59:59.000Z

443

DECODING TODAY’S ELECTRIC PRICES — LOOKING THROUGH A COMPLEX PRISM.............................. 2  

E-Print Network (OSTI)

This White Paper was commissioned by the Electric Power Supply Association (EPSA), the national trade association representing competitive power suppliers, including generators and power marketers. (www.epsa.org) This paper represents the views of the author, and not necessarily the views of EPSA, its member companies, or the employer of the author.

Susan F. Tierney, Ph.D.

2007-01-01T23:59:59.000Z

444

Two-Settlement Electric Power Markets with Dynamic-Price Contracts  

E-Print Network (OSTI)

.g., consumer-owned photovoltaic (PV) panels #12;5 Principal IRW Project Research Topics Dynamic retail/wholesale reliability and efficiency implications of integrating demand response resources as realized thru Top-owned distributed energy resources, such as photovoltaic (PV) generation & plug-in electric vehicles (PEV

Tesfatsion, Leigh

445

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

E-Print Network (OSTI)

PRICES The future prices of natural gas, coal, and oil have an important effect on the Council's power, is an important factor when considering the use of natural gas for electricity generation. Price volatility-sized homes. The cost of energy (natural gas, oil, and electricity) is expected to be significantly higher

446

An assessment of the impact of deregulation on the relative price of electricity in Illinois  

Science Conference Proceedings (OSTI)

Though it's commonly thought that electricity deregulation has, by and large, failed to deliver its anticipated results, consumers in Illinois have benefited from deregulation when compared to what has happened to rates over the past several years in bordering states. This conclusion is supported by a comparison of nominal and real rates paid by different customer classes, theoretical predictions, and consideration of fuel cost impacts and capacity expansions. (author)

Carlson, J. Lon; Loomis, David

2008-07-15T23:59:59.000Z

447

State Energy Price and Expenditure Estimates  

U.S. Energy Information Administration (EIA)

2010 Price and Expenditure Summary Tables. Table E1. Primary Energy, Electricity, ... Ranked by State, 2010 Rank Prices Expenditures Expenditures per Person State

448

Average Residential Price  

Gasoline and Diesel Fuel Update (EIA)

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

449

Average Commercial Price  

Gasoline and Diesel Fuel Update (EIA)

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

450

Average Residential Price  

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

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

451

Do Producer Prices Lead Consumer Prices?  

E-Print Network (OSTI)

increased rapidly. Excluding food and energy, prices of crude materials and intermediate goods rose at annual rates of 7.2 and 16.7 percent, respectively. At the same time, however, prices of consumer goods and services excluding food and energy increased a more modest 2.9 percent. Many analysts are concerned that recent increases in the prices of crude and intermediate goods may be passed through to consumers, resulting in a higher rate of inflation in consumer prices later this year and perhaps in 1996. This article examines whether price increases at the early stages of production should be expected to move through the production chain, leading to increases in consumer prices. In the first section, a review of basic economic theory suggests there should be a pass-through effect—that is, producer prices should lead and thereby help predict consumer prices. A more sophisticated analysis, though, suggests the pass-through effect may be weak. In the second section, an examination of the empirical evidence indicates that producer prices are not always good predictors of consumer prices. The article Todd E. Clark is an economist at the Federal Reserve Bank of Kansas City. Mangal Goswami, a research associate at the bank, helped prepare the article. concludes that the recent increases in some producer prices do not necessarily signal higher inflation.

E. Clark

1994-01-01T23:59:59.000Z

452

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,

453

California Natural Gas Prices - Energy Information Administration  

U.S. Energy Information Administration (EIA)

... electric power price data are for regulated electric utilities only; beginning in 2002, data also include nonregulated members of the electric power sector.

454

Nonlinear Pricing in Energy and Environmental Markets  

E-Print Network (OSTI)

on their summer electricity bills if they could reduce theira fixed credit on electricity bills. The rationale behindaverage price of their electricity bills, the fixed credit

Ito, Koichiro

2011-01-01T23:59:59.000Z

455

The Natural Number of Forward Markets for Electricity  

E-Print Network (OSTI)

of restructured electricity prices,” Energy Economics,E.S. (2002). “Electricity prices and power derivatives:P. (2002). “Modeling electricity prices: International

Suenaga, Hiroaki; Williams, Jeffrey

2005-01-01T23:59:59.000Z

456

Distributed Generation Dispatch Optimization under Various Electricity Tariffs  

E-Print Network (OSTI)

and relatively high electricity prices, capturing 97% of thecases, real-time electricity prices. Smaller DG installerselectric, and heating), electricity prices, DG availability,

Firestone, Ryan; Marnay, Chris

2007-01-01T23:59:59.000Z

457

Electricity Merger Policy in the Shadow of Regulation  

E-Print Network (OSTI)

that even competitive electricity prices occasionally haveeliminated by the merger, electricity prices would fall, notthe change in the electricity price shown. If other firms’

Gilbert, Richard J; Newberry, David M

2006-01-01T23:59:59.000Z

458

Alternative Fuels Data Center: Plug-In Electric Vehicle (PEV...  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

who own qualified PEVs: the Electric Vehicle Pricing Plan and the Electric Vehicle + Home Pricing Plan. The Electric Vehicle Pricing plan allows PEV owners to take advantage of...

459

Distillate and Crude Oil Price  

Gasoline and Diesel Fuel Update (EIA)

fuel and residential heating oil prices on the East Coast is being driven by higher crude oil prices than last year and higher spreads. Crude oil is projected to average almost...

460

Price Variation Antagonism and Firm Pricing Policies 1,2  

E-Print Network (OSTI)

Abstract: Pricing schemes that vary prices in response to demand shocks may antagonize consumers and reduce demand. At the same time, consumers may take advantage of the opportunities offered by price changes. Overall, the net impact of varying price on demand is ambiguous. We investigate the issue empirically, exploiting a unique dataset from a firm that has experimented with different pricing schemes. Each scheme is characterized by how much prices respond to demand variations. Holding average price and other variables constant, we find that demand is higher when prices vary more. We discuss the implications of our findings with regard to the consumer antagonism hypothesis.

Pascal Courty; Mario Pagliero; Jel D; Christopher Milde; Frank Vella; All Introduction

2008-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "higher 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

Beyond economics for guiding large public policy issues: Lessons from the Bell System divestiture and the California electricity crisis  

Science Conference Proceedings (OSTI)

During the summer (2000), wholesale electricity prices in California were approximately 500% higher than those during the same months in 1998-1999. This study finds that the price hike has occurred due to an increase in fuel prices and real demand. The ... Keywords: Agent-based approach, Electricity, Public policy

Toshiyuki Sueyoshi

2010-02-01T23:59:59.000Z

462

Fairness and dynamic pricing: comments  

Science Conference Proceedings (OSTI)

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

Hogan, William W.

2010-07-15T23:59:59.000Z

463

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

Science Conference Proceedings (OSTI)

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

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

2011-04-18T23:59:59.000Z

464

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

E-Print Network (OSTI)

changes to retail electricity rates on an hourly or dailyweekdays 2004 [6] Most electricity rates in use today arerates with control technologies use 30- 40% less electricity

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

2005-01-01T23:59:59.000Z

465

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

E-Print Network (OSTI)

meet demand Dynamic electricity rates are a family of ratestime di?erentiated electricity rates. • “Narrow bracketing”a ubiquitous ?aw of electricity rates. 15 Revenue neutrality

Letzler, Robert

2007-01-01T23:59:59.000Z

466

Understanding Trends in Wind Turbine Prices Over the Past Decade  

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

Understanding Trends in Wind Turbine Prices Over the Past Decade Understanding Trends in Wind Turbine Prices Over the Past Decade Title Understanding Trends in Wind Turbine Prices Over the Past Decade Publication Type Report Refereed Designation Unknown Year of Publication 2011 Authors Bolinger, Mark, and Ryan H. Wiser Pagination 46 Date Published 10/2011 Publisher LBNL City Berkeley Keywords electricity markets and policy group, energy analysis and environmental impacts department Abstract Berkeley Lab has gathered price data on 81 U.S. wind turbine transactions totaling 23,850 MW announced from 1997 through early 2011. Figure ES-1 depicts these reported wind turbine transaction prices (along with the associated trend line), broken out by the size of the transaction (in MW). Figure ES-1 also presents average (global) turbine prices reported by Vestas for the years 2005 through 2010, as well as a range of reported pricing (among various turbine manufacturers) for transactions signed in 2010 and so far in 2011 (with 2011 prices generally lower than 2010 prices). After hitting a low of roughly $750/kW from 2000 to 2002, average wind turbine prices doubled through 2008, rising to an average of roughly $1,500/kW. Wind turbine prices have since declined substantially, with price quotes for transactions executed in 2010 and to date in 2011 ranging from $900-$1,400/kW depending on the manufacturer and turbine model. For example, turbines designed for lower wind speed sites - deploying higher hub heights and larger rotor diameters for a given nameplate capacity - are priced at the higher end of this range. These quotes suggest price declines of as much as 33% or more since late 2008, with an average decline closer to perhaps 20% for orders announced in 2010 (as opposed to in 2011, which has seen further price declines). These two substantial and opposing wind turbine price trends over the past decade - and particularly the doubling in prices in the 2002-2008 period - run counter to the smooth, gradually declining technology cost trajectories that are often assumed by energy analysts modeling the diffusion of new technologies, including wind power. Understanding and explaining this notable discrepancy between theory and historical reality is the primary motivation for this work. Taking a bottom-up approach, this report examines seven primary drivers of wind turbine prices in the United States, with the goal of estimating the degree to which each contributed to the doubling in turbine prices from 2002 through 2008, as well as the subsequent decline in prices through 2010 (our analysis does not extend into 2011 because several of these drivers are best gauged on a full-year basis due to seasonality issues).

467

Virginia Natural Gas Prices - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Natural Gas Prices ... Residential Price: 15.42: 16.19: 13.83: 12.73: 12.72: 12.52: ... electric power price data are for regulated electric utilities only; ...

468

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

Science Conference Proceedings (OSTI)

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

Bolinger, Mark; Wiser, Ryan; Golove, William

2003-08-13T23:59:59.000Z

469

A Survey of Utility Experience with Real Time Pricing  

E-Print Network (OSTI)

CA. November 15. Electric Power Research Institute (EPRI).with Real Time Pricing Electric Power Research Institute (Electric) 67 American Electric Power (Public Service

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2004-01-01T23:59:59.000Z

470

Nebraska Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

471

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

E-Print Network (OSTI)

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

Zachmann, Georg

2007-01-01T23:59:59.000Z

472

All Price Tables.vp  

Annual Energy Outlook 2012 (EIA)

Sector Energy Price Estimates, 2011 (Dollars per Million Btu) State Primary Energy Retail Electricity Total Energy Coal Natural Gas Petroleum Total Aviation Gasoline a Distillate...

473

Observed Temperature Effects on Hourly Residential Electric LoadReduction in Response to an Experimental Critical Peak PricingTariff  

SciTech Connect

The goal of this investigation was to characterize themanual and automated response of residential customers to high-price"critical" events dispatched under critical peak pricing tariffs testedin the 2003-2004 California Statewide Pricing Pilot. The 15-monthexperimental tariff gave customers a discounted two-price time-of-userate on 430 days in exchange for 27 critical days, during which the peakperiod price (2 p.m. to 7 p.m.) was increased to about three times thenormal time-of-use peak price. We calculated response by five-degreetemperature bins as the difference between peak usage on normal andcritical weekdays. Results indicatedthat manual response to criticalperiods reached -0.23 kW per home (-13 percent) in hot weather(95-104.9oF), -0.03 kW per home (-4 percent) in mild weather (60-94.9oF),and -0.07 kW per home (-9 percent) during cold weather (50-59.9oF).Separately, we analyzed response enhanced by programmable communicatingthermostats in high-use homes with air-conditioning. Between 90oF and94.9oF, the response of this group reached -0.56 kW per home (-25percent) for five-hour critical periods and -0.89 kW/home (-41 percent)for two-hour critical periods.

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

2005-11-14T23:59:59.000Z

474

Electricity - Analysis & Projections - U.S. Energy Information ...  

U.S. Energy Information Administration (EIA)

Electricity Prices in a Competitive Environment: Marginal Cost Pricing. ... production costs, and the financial integrity of electricity suppliers? ...

475

New Jersey Natural Gas Prices  

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

of Total Industrial Deliveries included in Prices 20.6 11.0 9.0 8.4 8.2 NA 1997-2012 Vehicle Fuel Price -- -- -- -- -- 1994-2011 Electric Power Price 8.17 10.78 5.31 5.66 5.24...

476

An overview of alternative fossil fuel price and carbon regulation scenarios  

E-Print Network (OSTI)

reaction of energy markets to higher fuel prices. Combinedreaction of energy markets to higher fuel prices. Other Highin spot market prices (note California Energy Commission.

Wiser, Ryan; Bolinger, Mark

2004-01-01T23:59:59.000Z

477

Average Weekly Propane Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

19 Notes: Propane spot prices at the major trading hubs remained relatively close through the fall of 2000, even as they were pushed higher by rapidly rising natural gas prices....

478

Average Weekly Propane Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

9 Notes: Propane spot prices at the major trading hubs remained relatively close through the fall of 2000, even as they were pushed higher by rapidly rising natural gas prices....

479

prices | OpenEI  

Open Energy Info (EERE)

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

480

Average Residential Price - Energy Information Administration  

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 2011 ...

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


481

Natural Gas Wellhead Price - Energy Information Administration  

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 2011 ...

482

Price of Natural Gas Imports by Pipeline  

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 2011 ...

483

Daily natural gas and power price differences in Mid-Atlantic ...  

U.S. Energy Information Administration (EIA)

tags: electricity natural gas New Jersey Pennsylvania pipelines prices spot prices states transmission transportation weather. Email Updates. RSS Feeds. Facebook.

484

Iowa Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

485

Vermont Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

486

Connecticut Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

487

Muffled Price Signals: Household Water Demand Under Increasing-Block Prices  

E-Print Network (OSTI)

The distinction has been quite important in the electricity demand literature, in which long-run price elasticity and electricity pricing, and volume discounts in general. Under increasing blocks, the budget constraintMuffled Price Signals: Household Water Demand Under Increasing-Block Prices Sheila M. Cavanagh, W

Kammen, Daniel M.

488

Phillip Price  

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

Phillip Price Phil Price Sustainable Energy Systems Group Demand Response Research Center (DRRC) Lawrence Berkeley National Laboratory 1 Cyclotron Road MS 90R2002 Berkeley CA 94720...

489

Gasoline Prices  

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

and diesel price estimates from the Energy Information Administration Understanding Gas Prices Photo of gasoline receipt What determines the cost of gasoline? What's the...

490

The Effects of Electricity Tariff Structure on Distributed Generation Adoption in New York State  

E-Print Network (OSTI)

with relatively high electricity prices, New York State haswith relatively high electricity prices, has also dealt withquite sensitive to electricity prices, and in the New York

Firestone, Ryan; Marnay, Chris

2005-01-01T23:59:59.000Z

491

Potential Benefits from Improved Energy Efficiency of Key Electrical Products: The Case of India  

E-Print Network (OSTI)

on projections of electricity prices or avoided costs forthe projected marginal electricity price for households orfirst cost. Marginal Electricity Prices The consumer impacts

McNeil, Michael; Iyer, Maithili; Meyers, Stephen; Letschert, Virginie; McMahon, James E.

2005-01-01T23:59:59.000Z

492

DSM Electricity Savings Potential in the Buildings Sector in APP Countries  

E-Print Network (OSTI)

Standards to Projected Electricity Price in the ResidentialStandards to Marginal Electricity Price in the CommercialStandards to Projected Electricity Price in the Residential

McNeil, MIchael

2011-01-01T23:59:59.000Z

493

Inefficiencies and Market Power in Financial Arbitrage: A Study of California's Electricity Markets  

E-Print Network (OSTI)

of Electric and Natural Gas Prices. ” Federal Energyof Electric and Natural Gas Prices. ” Federal Energytion of Electric and Natural Gas Prices. ” Federal Energy

Borenstein, Severin; Bushnell, James; Knittel, Christopher R.; Wolfram, Catherine

2004-01-01T23:59:59.000Z

494

Microsoft Word - Peak Electricity Impacts of Water Conservation...  

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

use of renewables and placing a price on greenhouse gas emission, will also increase the price of electricity. Real California electricity prices are, on average, expected to be...

495

Estimating disaggregated price elasticities in industrial energy demand  

Science Conference Proceedings (OSTI)

Econometric energy models are used to evaluate past policy experiences, assess the impact of future policies and forecast energy demand. This paper estimates an industrial energy demand model for the province of Ontario using a linear-logit specification for fuel type equations which are embedded in an aggregate energy demand equation. Short-term, long-term, own- and cross-price elasticities are estimated for electricity, natural gas, oil and coal. Own- and cross-price elasticities are disaggregated to show that overall price elasticities and the energy-constant price elasticities when aggregate energy use is held unchanged. These disaggregations suggest that a substantial part of energy conservation comes from the higher aggregate price of energy and not from interfuel substitution. 13 refs., 2 tabs.

Elkhafif, M.A.T. (Ontario Ministry of Energy, Toronto (Canada))

1992-01-01T23:59:59.000Z

496

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

This chart highlights residential heating oil prices for the current and This chart highlights residential heating oil prices for the current and past heating season. As you can see, prices have started the heating season, about 40 to 50 cents per gallon higher than last year at this time. The data presented are from EIA's State Heating Oil and Propane Program. We normally collect and publish this data twice a month, but given the low stocks and high prices, we started tracking the prices weekly. These data will also be used to determine the price trigger mechanism for the Northeast Heating Oil Reserve. The data are published at a State and regional level on our web site. The slide is to give you some perspective of what is happening in these markets, since you probably will get a number of calls from local residents about their heating fuels bills

497

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 ...

498

Progress towards Managing Residential Electricity Demand: Impacts of Standards and Labeling for Refrigerators and Air Conditioners in India  

E-Print Network (OSTI)

prevailing marginal electricity prices, in order to give anCCE with prevailing electricity prices. In order to estimateusers. Marginal Electricity Prices and Discount Rates

McNeil, Michael A.

2010-01-01T23:59:59.000Z

499

Price Discrimination Based on Downstream Regulation: Evidence  

E-Print Network (OSTI)

-level regulation of the electricity market. Market power and price discrimination based on downstream regulation by evidence that state-level electricity market restructur- ing also affects the price power plants payPrice Discrimination Based on Downstream Regulation: Evidence from the Market for SO2 Scrubbers

Feigon, Brooke

500

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

E-Print Network (OSTI)

Solar Home Price Premium: Electricity Generation and “Green”of solar photovoltaic electricity production,” UCEI Workinghas California?s residential electricity consumption been so

Dastrup, Samuel R.

2011-01-01T23:59:59.000Z