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1

Prices in Wholesale Electricity Markets and Demand Response.  

E-Print Network (OSTI)

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

Aketi, Venkata Sesha Praneeth

2014-01-01T23:59:59.000Z

2

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

3

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.

4

Refiner Wholesale Price ...........................  

Gasoline and Diesel Fuel Update (EIA)

Prices (cents per gallon) Prices (cents per gallon) Refiner Wholesale Price ........................... 297 299 302 275 289 290 288 262 275 289 280 257 293 282 276 Gasoline Regular Grade Retail Prices Including Taxes PADD 1 .................................................... 363 366 364 355 361 350 355 331 341 355 347 327 362 349 343 PADD 2 .................................................... 355 366 369 340 350 368 352 318 334 355 346 318 357 347 338 PADD 3 .................................................... 346 353 345 326 339 336 337 307 323 341 329 305 343 330 325 PADD 4 .................................................... 322 374 358 348 323 361 362 326 322 351 348 322 351 344 337 PADD 5 .................................................... 390 413 390 384 382 390 385 355 362 384 379 356 394 378 371 U.S. Average ........................................

5

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

6

NREL: Transmission Grid Integration - Wholesale Electricity Market...  

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

Wholesale Electricity Market Operations Researchers at NREL are studying wholesale electricity market operations to understand how they currently maximize competition, efficiency,...

7

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

8

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

E-Print Network (OSTI)

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

2004-01-01T23:59:59.000Z

9

Wholesale/Spot Henry Hub Spot Price ........  

Gasoline and Diesel Fuel Update (EIA)

Wholesale/Spot Wholesale/Spot Henry Hub Spot Price ........ 2.52 2.35 2.97 3.50 3.59 4.13 3.66 3.83 3.92 3.67 3.92 4.08 2.83 3.81 3.90 Residential New England ...................... 13.08 14.05 16.86 13.62 13.05 13.88 17.27 14.17 14.04 15.15 18.40 15.22 13.73 13.84 14.91 Middle Atlantic .................... 11.34 13.46 16.92 11.76 10.98 13.32 17.88 13.58 12.80 14.60 18.94 14.39 12.20 12.56 13.95 E. N. Central ...................... 8.30 10.68 15.52 8.57 7.74 10.79 15.82 9.37 8.80 11.38 17.13 10.31 9.20 9.15 10.13 W. N. Central ..................... 8.45 11.99 16.39 9.08 8.10 10.47 17.24 9.38 8.79 11.27 17.99 10.23 9.60 9.35 10.11 S. Atlantic ........................... 12.37 17.68 22.08 12.24 11.10 15.05 22.27 13.49 12.56 18.03 24.66 14.95 13.71 13.12 14.77 E. S. Central ....................... 10.26 14.69 17.56 10.41 9.25 12.36 18.26 11.50

10

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market  

E-Print Network (OSTI)

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity MarketScience (www.interscience.wiley.com). Abstract: This paper addresses quantity risk in the electricity market-serving entity, which provides electricity service at a regulated price in electricity markets with price

Oren, Shmuel S.

11

Predicting market power in wholesale electricity markets  

E-Print Network (OSTI)

Predicting market power in wholesale electricity markets#3; David M Newbery Faculty of Economics, University of Cambridge August 26, 2008 Abstract The traditional measure of market power is the HHI, which gives implausible results given the low... elasticity of demand in electricity spot markets, unless it is adapted to take account of contracting. In its place the Residual Supply Index has been proposed as a more suitable index to measure potential market power in electricity markets, notably...

Newbery, David

12

Wholesale Electricity and Emissions Trading  

Science Journals Connector (OSTI)

The European electricity sector liberalization, introduced through the Directive 96/02/EG of the European Union (1996), entailed a separation of the main parts of the electricity value chain: generation, trans...

2008-01-01T23:59:59.000Z

13

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity  

E-Print Network (OSTI)

Hedging Quantity Risks with Standard Power Options in a Competitive Wholesale Electricity Market, GA, 30332-0205 USA March 3, 2005 Abstract This paper addresses quantity risk in the electricity of a load serving entity, which provides electricity service at a regulated price in electricity markets

14

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

E-Print Network (OSTI)

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

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

2009-01-01T23:59:59.000Z

15

The Implementation of California AB 32 and its Impact on Wholesale Electricity Markets  

E-Print Network (OSTI)

its Impact on Wholesale Electricity Markets James Bushnellits Impact on Wholesale Electricity Markets James Bushnell *gas emissions from electricity and perhaps other industries.

Bushnell, Jim B

2007-01-01T23:59:59.000Z

16

Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets  

E-Print Network (OSTI)

Test Bed I. INTRODUCTION THE wholesale power market design proposed by the U.S. Federal Energy1 Separation and Volatility of Locational Marginal Prices in Restructured Wholesale Power Markets (LMPs) in an ISO-managed restructured wholesale power market operating over an AC transmission grid

Tesfatsion, Leigh

17

Incentive effects of paying demand response in wholesale electricity markets  

Science Journals Connector (OSTI)

Recently issued U.S. Federal Energy Regulatory Commission regulations require comparable treatment of demand reduction and generation in the wholesale electric market so that they are compensated at the same mark...

Hung-po Chao; Mario DePillis

2013-06-01T23:59:59.000Z

18

Reformulating Competition? Gasoline Content Regulation and Wholesale Gasoline Prices  

E-Print Network (OSTI)

Sup) # Sup Squared Crude Oil Price Constant Years of Datafactors using the price of crude oil (Cushings, O K ) . AsN and N-squared. The price of crude oil is a significant and

Brown, Jennifer; Hastings, Justine; Mansur, Erin T.; Villas-Boas, Sofia B

2007-01-01T23:59:59.000Z

19

Demand response in wholesale electricity markets: the choice of customer baseline  

Science Journals Connector (OSTI)

Given a hybrid electricity market structure, demand response (DR) in wholesale electricity markets depends ... counterfactual consumption levels that would have prevailed without demand-response programs. However...

Hung-po Chao

2011-02-01T23:59:59.000Z

20

Market Power and Regulatory Failure in the Montana Wholesale Electricity Market.  

E-Print Network (OSTI)

??This work investigates market power and regulatory failures in the Montana wholesale electrical market after the implementation of deregulation in 1997. It provides a review… (more)

Keogh, Ross Patrick

2012-01-01T23:59:59.000Z

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

Assessing the Impact of Economically Dispatchable Wind Resources on the New England Wholesale Electricity Market.  

E-Print Network (OSTI)

??Among renewable energy resources, wind power is poised to contribute most significantly to meeting future wholesale electricity demand. However, the intermittent nature of wind power… (more)

Goggins, Andrew

2013-01-01T23:59:59.000Z

22

Wholesale price rebate vs. capacity expansion: The optimal strategy for seasonal products in a supply chain  

Science Journals Connector (OSTI)

Abstract We consider a supply chain in which one manufacturer sells a seasonal product to the end market through a retailer. Faced with uncertain market demand and limited capacity, the manufacturer can maximize its profits by adopting one of two strategies, namely, wholesale price rebate or capacity expansion. In the former, the manufacturer provides the retailer with a discount for accepting early delivery in an earlier period. In the latter, the production capacity of the manufacturer in the second period can be raised so that production is delayed until in the period close to the selling season to avoid holding costs. Our research shows that the best strategy for the manufacturer is determined by three driving forces: the unit cost of holding inventory for the manufacturer, the unit cost of holding inventory for the retailer, and the unit cost of capacity expansion. When the single period capacity is low, adopting the capacity expansion strategy dominates as both parties can improve their profits compared to the wholesale price rebate strategy. When the single period capacity is high, on the other hand, the equilibrium outcome is the wholesale price rebate strategy.

Kwei-Long Huang; Chia-Wei Kuo; Ming-Lun Lu

2014-01-01T23:59:59.000Z

23

An empirical investigation of the price linkages between wholesale beef and slaughter cattle prices  

E-Print Network (OSTI)

carcass values to determine If slaughter cattle prices by grade can be infered. The average price response indicates that the dressing percentage of the imputed carcass value is the best Indicator of slaughter cattle prices. The results also Indicate.... Marketing Margins. Price Transmission. Economic Models of Temporal Relationships. Price Differentials. 6 7 7 8 10 13 EMPIRICAL APPROACH 15 Data. -No-Trade" Days Imputed Carcass Value. Price Differentials Vertical Price Linkages. Average Price...

Owen, Cynthia Jane

2012-06-07T23:59:59.000Z

24

The Supply Function Equilibrium and its Policy Implications for Wholesale Electricity Auctions  

E-Print Network (OSTI)

www.eprg.group.cam.ac.uk E P R G W O R K IN G P A P E R Abstract The supply function equilibrium and its policy implications for wholesale electricity auctions EPRG Working Paper 1007 Cambridge Working Paper in Economics 1016 Pär... Holmberg and David Newbery The supply function equilibrium provides a game-theoretic model of strategic bidding in oligopolistic wholesale electricity auctions. This paper presents an intuitive account of current understanding and shows how welfare...

Holmberg, P; Newbery, David

25

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

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

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

26

California's electricity crisis  

E-Print Network (OSTI)

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

Joskow, Paul L.

2001-01-01T23:59:59.000Z

27

Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India  

E-Print Network (OSTI)

I assume that private firms in the MH electricity market actand private firms will play important roles in the electricityand private firms operate in the sector at the same time) on wholesale electricity

Phadke, Amol

2007-01-01T23:59:59.000Z

28

ELECTRICITY FORWARD PRICES: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:for the hourly spot electricity prices reported by PJM.

Longstaff, Francis A; Wang, Ashley

2002-01-01T23:59:59.000Z

29

Electricity Forward Prices: A High-Frequency Empirical Analysis  

E-Print Network (OSTI)

P. 2002. Modelling Electricity Prices: Interna- tionalSchwartz, E. 2002. Electricity Prices and Power Derivatives:for the hourly spot electricity prices reported by PJM.

Longstaff, Francis; Wang, Ashley

2002-01-01T23:59:59.000Z

30

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

31

Understanding Price Volatility in Electricity Markets  

Science Journals Connector (OSTI)

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

Fernando L. Alvarado; Rajesh Rajaraman

2000-01-01T23:59:59.000Z

32

Evolution of Wholesale Electricity Market Design with Increasing Levels of Renewable Generation  

SciTech Connect

Variable generation such as wind and photovoltaic solar power has increased substantially in recent years. Variable generation has unique characteristics compared to the traditional technologies that supply energy in the wholesale electricity markets. These characteristics create unique challenges in planning and operating the power system, and they can also influence the performance and outcomes from electricity markets. This report focuses on two particular issues related to market design: revenue sufficiency for long-term reliability and incentivizing flexibility in short-term operations. The report provides an overview of current design and some designs that have been proposed by industry or researchers.

Ela, E.; Milligan, M.; Bloom, A.; Botterud, A.; Townsend, A.; Levin, T.

2014-09-01T23:59:59.000Z

33

Electricity market clearing price forecasting under a deregulated electricity market.  

E-Print Network (OSTI)

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

Yan, Xing

2010-01-01T23:59:59.000Z

34

2007 Wholesale Power Rate Case Final Proposal : Market Price Forecast Study.  

SciTech Connect

This study presents BPA's market price forecasts for the Final Proposal, which are based on AURORA modeling. AURORA calculates the variable cost of the marginal resource in a competitively priced energy market. In competitive market pricing, the marginal cost of production is equivalent to the market-clearing price. Market-clearing prices are important factors for informing BPA's power rates. AURORA was used as the primary tool for (a) estimating the forward price for the IOU REP Settlement benefits calculation for fiscal years (FY) 2008 and 2009, (b) estimating the uncertainty surrounding DSI payments and IOU REP Settlements benefits, (c) informing the secondary revenue forecast and (d) providing a price input used for the risk analysis. For information about the calculation of the secondary revenues, uncertainty regarding the IOU REP Settlement benefits and DSI payment uncertainty, and the risk run, see Risk Analysis Study WP-07-FS-BPA-04.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

35

Essays on Price Dynamics  

E-Print Network (OSTI)

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

Hong, Gee Hee

2012-01-01T23:59:59.000Z

36

Coal ban could heat up electricity prices  

Science Journals Connector (OSTI)

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

Janet Pelley

2009-05-13T23:59:59.000Z

37

ESS 2012 Peer Review - Wholesale Electricity Market Design Project - Jim Ellison, SNL  

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

Photos placed in Photos placed in horizontal position with even amount of white space between photos and header Photos placed in horizontal position with even amount of white space between photos and header Wholesale Electricity Market Design Project September 28, 2012 Jim Ellison, Verne Loose, Ray Byrne, Cesar Silva Monroy, and Ryan Elliott Sandia National Laboratories Leigh Tesfatsion Iowa State University DOE Energy Storage Program Peer Review 2012 Introduction - Motivation for a New Market Design  Need to eliminate market bias of resource classes such as Energy Storage  Need to accommodate new technologies, without the need to change market rules  Move away from resource-centric markets toward service-centric markets

38

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

39

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

Science Journals Connector (OSTI)

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

Graziano Abrate

2008-01-01T23:59:59.000Z

40

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: November 2011 Regional Wholesale Markets: November 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

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

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: December 2011 Regional Wholesale Markets: December 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

42

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: January 2012 Regional Wholesale Markets: January 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

43

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: October 2011 Regional Wholesale Markets: October 2011 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

44

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: September 2011 Regional Wholesale Markets: September 2011 The United States. has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the U.S. The range of daily price and demand data is shown for the month of September 2011 and for the year ending on September 30, 2011. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest (Palo Verde) and

45

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: March 2012 Regional Wholesale Markets: March 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

46

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Regional Wholesale Markets: February 2012 Regional Wholesale Markets: February 2012 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale prices at selected pricing locations and daily peak demand for selected electricity systems in the Nation. The range of daily prices and demand data is shown for the report month and for the year ending with the report month. Prices and demand are shown for six Regional Transmission Operator (RTO) markets: ISO New England (ISO-NE), New York ISO (NYISO), PJM Interconnection (PJM), Midwest ISO (MISO), Electric Reliability Council of Texas (ERCOT), and two locations in the California ISO (CAISO). Also shown are wholesale prices at trading hubs in Louisiana (into Entergy), Southwest

47

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

E-Print Network (OSTI)

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

48

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

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

a. Coal Prices to Electric Generating Plants, Projected vs. Actual" "Projected Price in Constant Dollars" " constant dollars per million Btu in ""dollar year"" specific to each...

49

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

50

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

51

Commodity Price Interaction: CO2 Allowances, Fuel Sources and Electricity  

Science Journals Connector (OSTI)

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

Mara Madaleno; Carlos Pinho; Cláudia Ribeiro

2014-01-01T23:59:59.000Z

52

Carbon pricing, nuclear power and electricity markets  

SciTech Connect

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

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

2012-07-01T23:59:59.000Z

53

Practical stochastic modelling of electricity prices Michel Culot  

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

54

Addressing the Level of Florida's Electricity Prices Theodore Kury1  

E-Print Network (OSTI)

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

Jawitz, James W.

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 1997 FORE08.DOC Page 1 CALIFORNIA ENERGY COMMISSION ELECTRICITY ANALYSIS OFFICE REVISED 1997 RETAIL ELECTRICITY PRICE FORECAST Introduction The Electricity Analysis Office of the California Energy Commission

56

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

57

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network (OSTI)

flow directly from the refinery to wholesaler, to retailer,of No. 2 heating oil for the refinery, wholesale and retailfirst system monitored refinery, wholesale and retail price

Hopelain, D.G.

2011-01-01T23:59:59.000Z

58

Pricing and Firm Conduct in California's Deregulated Electricity Market  

E-Print Network (OSTI)

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

California at Berkeley. University of

59

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

E-Print Network (OSTI)

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

Borenstein, Severin

2007-01-01T23:59:59.000Z

60

Abstract--Load serving entities (LSE) and holders of default service obligations, in restructured electricity markets, provide  

E-Print Network (OSTI)

, in restructured electricity markets, provide electricity service at regulated or contracted fixed prices while standard forward contracts and commodity derivatives. Keywords: Electricity Markets, Risk Management, Volumetric hedging, I. INTRODUCTION The introduction of competitive wholesale markets in the electricity

Oren, Shmuel S.

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

Wholesale Power Rate Schedules | Department of Energy  

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

Services » Rate Schedules » Wholesale Power Rate Schedules Services » Rate Schedules » Wholesale Power Rate Schedules Wholesale Power Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina October 1, 2012 Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina October 1, 2012 Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina October 1, 2012 Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina October 1, 2012 Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina October 1, 2012 MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association

62

Wholesale Power Rate Schedules | Department of Energy  

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

Services » Rate Schedules » Wholesale Power Rate Schedules Services » Rate Schedules » Wholesale Power Rate Schedules Wholesale Power Rate Schedules October 1, 2012 ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina October 1, 2012 Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina October 1, 2012 Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina October 1, 2012 Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina October 1, 2012 Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina October 1, 2012 MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association

63

Wholesale Power Rate Schedules | Department of Energy  

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

Schedules Schedules Wholesale Power Rate Schedules October 1, 2011 CBR-1-H Wholesale Power Rate Schedule Area: Big Rivers and Henderson, KY System: CU October 1, 2011 CSI-1-H Wholesale Power Rate Schedule Area: Southern Illinois System: CU October 1, 2011 CK-1-H Wholesale Power Rate Schedule Area: KU Area System: CU October 1, 2011 CEK-1-H Wholesale Power Rate Schedule Area: East Kentucky System: CU October 1, 2011 CC-1-I Wholesale Power Rate Schedule Area: CP&L Area, Western Division System: CU September 20, 2011 JW-1-J Wholesale Power Rate Schedule Area: Woodruff Preference Customer System: Jim Woodruff September 20, 2011 JW-2-F Wholesale Power Rate Schedule Area: Florida Power Corporation System: Jim Woodruff November 17, 2010 AP-1-B Wholesale Power Rate Schedule Area: American Electric Power

64

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

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

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

65

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

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

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

66

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

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

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

67

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

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

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

68

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

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

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

69

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

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

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

70

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

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

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

71

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

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

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

72

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

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

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

73

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

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

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

74

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

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

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

75

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

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

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

76

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

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

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

77

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

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

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

78

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

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

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

79

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

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

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

80

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

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

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

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

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

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

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

82

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

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

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

83

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

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

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

84

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

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

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

85

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

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

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

86

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

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

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

87

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

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

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

88

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

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

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

89

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

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

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

90

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

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

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

91

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

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

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

92

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

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

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

93

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

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

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

94

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

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

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

95

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

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

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

96

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

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

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

97

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

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

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

98

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

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

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

99

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

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

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

100

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

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

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

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

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

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

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

102

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

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

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

103

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

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

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

104

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

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

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

105

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

Open Energy Info (EERE)

Household Response To Dynamic Pricing Of Electricity: A Survey Of The Experimental Evidence Jump to: navigation, search Tool Summary LAUNCH TOOL Name: Household Response To Dynamic...

106

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

107

POWER '99 Conference 1 Stochastic Models of Electricity Spot Price  

E-Print Network (OSTI)

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

California at Berkeley. University of

108

Intraclass Price Elasticity & Electric Rate Design  

E-Print Network (OSTI)

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

Gresham, K. E.

109

Why do we need electricity retailers?; or, can you get it cheaper wholesale?  

E-Print Network (OSTI)

The opportunities for retail electricity competition to provide new value-added services to retail electricity consumers are discussed. The physical attributes of electricity supply make many of the traditional "convenience ...

Joskow, Paul L.

2000-01-01T23:59:59.000Z

110

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"

111

Eric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public  

E-Print Network (OSTI)

establishes an Energy-Only resource adequacy mechanism in the ERCOT electricity market, relaxes the $1,000 per and Shmuel Oren I. Introduction The energy market posts a real- time clearing price of $1,000 per MWhEric S. Schubert is a Senior Market Economist at the Wholesale Market Oversight of the Public

Oren, Shmuel S.

112

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

Science Journals Connector (OSTI)

Recent warm, dry summers showed the vulnerability of the European power sector to low water availability and high river temperatures. Climate change is likely to impact electricity supply, in terms of both water availability for hydropower generation and cooling water usage for thermoelectric power production. Here, we show the impacts of climate change and changes in water availability and water temperature on European electricity production and prices. Using simulations of daily river flows and water temperatures under future climate (2031–2060) in power production models, we show declines in both thermoelectric and hydropower generating potential for most parts of Europe, except for the most northern countries. Based on changes in power production potentials, we assess the cost-optimal use of power plants for each European country by taking electricity import and export constraints into account. Higher wholesale prices are projected on a mean annual basis for most European countries (except for Sweden and Norway), with strongest increases for Slovenia (12–15%), Bulgaria (21–23%) and Romania (31–32% for 2031–2060), where limitations in water availability mainly affect power plants with low production costs. Considering the long design life of power plant infrastructures, short-term adaptation strategies are highly recommended to prevent undesired distributional and allocative effects.

Michelle T H van Vliet; Stefan Vögele; Dirk Rübbelke

2013-01-01T23:59:59.000Z

113

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"

114

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

E-Print Network (OSTI)

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

115

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

Science Journals Connector (OSTI)

In the paper, a method of forecasting demand prices for electric energy for the industry has been suggested. An algorithm of the forecast for 2006–2010 based on the data for 1997–2005 has been presented.

V. V. Kossov

2014-09-01T23:59:59.000Z

116

Three Essays on Retail Price Dynamics  

E-Print Network (OSTI)

negligible and holds for both retail- and wholesale-levelchange in the frequency of retail (wholesale) price changeCentro de Estudios del Retail (2009), "Calidad de Servicio

Elberg, Andres

2010-01-01T23:59:59.000Z

117

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

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

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

118

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

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

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

119

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

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

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

120

Price Responsive Demand in New York Wholesale Electricity Market using OpenADR  

E-Print Network (OSTI)

Laboratory in the course of performing work contracted for and sponsored by the New York State Energy

Kim, Joyce Jihyun

2013-01-01T23:59:59.000Z

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

Electricity Monthly Update  

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

Wholesale Markets: October 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

122

Electricity Monthly Update  

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

Wholesale Markets: September 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

123

Electricity Monthly Update  

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

Wholesale Markets: August 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

124

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Wholesale Markets: February 2014 The United States has many regional wholesale electricity markets. Below we look at monthly and annual ranges of on-peak, daily wholesale...

125

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

E-Print Network (OSTI)

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

Borenstein, Severin

2007-01-01T23:59:59.000Z

126

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

127

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

128

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

E-Print Network (OSTI)

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

Kallsen, Jan

129

Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India  

E-Print Network (OSTI)

Prices for the Year 2007-08 Coal Prices Coal India Ltd. , aof coal in Indiaand sets coal prices for most of the coalCoal India Ltd. revises coal prices based on the trends in

Phadke, Amol

2007-01-01T23:59:59.000Z

130

Electricity Market Module: Electricity finance and pricing submodule  

SciTech Connect

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

NONE

1996-06-01T23:59:59.000Z

131

The Pricing of Electricity to Aluminum Smelters in the Northwest  

E-Print Network (OSTI)

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

Foley, T. J.

132

Exemption from Wholesale Energy Transaction Tax (Montana)  

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

Electricity from wind generation on state lands is exempt from the wholesale energy transaction tax of $0.00015/kWh transmitted. Electricity from any source, including renewables, that is generated...

133

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

134

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

E-Print Network (OSTI)

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

Carmona, Rene

135

Efficient Modeling and Forecasting of Electricity Spot Prices  

Science Journals Connector (OSTI)

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

Florian Ziel; Rick Steinert; Sven Husmann

2014-01-01T23:59:59.000Z

136

Econometric analysis of Australian emissions markets and electricity prices  

Science Journals Connector (OSTI)

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

Deborah Cotton; Lurion De Mello

2014-01-01T23:59:59.000Z

137

STEO November 2012 - gas prices  

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

two-thirds of the pump price. Hurricane Sandy, however, has contributed to higher wholesale gasoline prices on the East Coast, and the recovery schedule for affected...

138

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

E-Print Network (OSTI)

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

Oren, Shmuel S.

139

Price volatility forecasting using artificial neural networks in emerging electricity markets  

Science Journals Connector (OSTI)

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

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

2012-01-01T23:59:59.000Z

140

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

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

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

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

Average Commercial Price  

Annual Energy Outlook 2012 (EIA)

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

142

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.

143

,"U.S. Total Refiner Petroleum Product Prices"  

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

NUSDPG","EMAEPPRLPWGNUSDPG","EMAEPPRHPWGNUSDPG" "Date","U.S. Total Gasoline WholesaleResale Price by Refiners (Dollars per Gallon)","U.S. Aviation Gasoline Wholesale...

144

Analysis on various pricing scenarios in a deregulated electricity market  

E-Print Network (OSTI)

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

Afanador Delgado, Catalina

2006-10-30T23:59:59.000Z

145

Definition: Critical Peak Pricing | Open Energy Information  

Open Energy Info (EERE)

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

146

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

Science Journals Connector (OSTI)

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

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

2013-12-01T23:59:59.000Z

147

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

148

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

E-Print Network (OSTI)

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

Boyer, Edmond

149

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

150

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

E-Print Network (OSTI)

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

151

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

E-Print Network (OSTI)

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

Cañizares, Claudio A.

152

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

E-Print Network (OSTI)

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

Øyan, Ola Hagen

2010-01-01T23:59:59.000Z

153

Electric utilities, fuel use, and responsiveness to fuel prices  

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

154

A theory of directional pricing and its application to electricity policy  

Science Journals Connector (OSTI)

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

Akira Maeda; Makiko Nagaya

2014-01-01T23:59:59.000Z

155

Chapter 4. Participating in Markets for Electrical Energy  

E-Print Network (OSTI)

Chapter 4. Participating in Markets for Electrical Energy 1 #12;Previously: we have discussed on the wholesale market and sell it a fixed price at the retail level. The quantity-weighted average price at which the basic principles of electricity markets. Now: we discuss the decisions that generators, consumers

Ernst, Damien

156

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

Science Journals Connector (OSTI)

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

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

157

Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India  

E-Print Network (OSTI)

B. (2001). “The California Electricity Crisis: Lessons forMagic or Mayhem? ” The Electricity Journal Vol 17, No 7,a Deregulated California Electricity Industry. ” Journal of

Phadke, Amol

2007-01-01T23:59:59.000Z

158

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

159

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

160

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

E-Print Network (OSTI)

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

Paris-Sud XI, Université de

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

Pricing mechanisms for offshore wind electricity in EU member states  

Science Journals Connector (OSTI)

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

Geert Palmers; Suzanne Shaw

2002-01-01T23:59:59.000Z

162

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

E-Print Network (OSTI)

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

2005-01-01T23:59:59.000Z

163

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

Science Journals Connector (OSTI)

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

René Carmona; Michael Coulon; Daniel Schwarz

2013-03-01T23:59:59.000Z

164

Feasibility of Wholesale Electricity Competition in a Developing Country: Insights from Simulating a Market in Maharashtra State, India  

E-Print Network (OSTI)

India looking at 2 mt more LNG from RasGas”. August 29 thhas planned for major LNG imports. Minimum flow constraintsbasis. Liquefied Natural Gas (LNG) Prices India is currently

Phadke, Amol

2007-01-01T23:59:59.000Z

165

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"

166

"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"

167

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

E-Print Network (OSTI)

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

Howison, Sam

168

Futures pricing in electricity markets based on stable CARMA spot models  

E-Print Network (OSTI)

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

Gerkmann, Ralf

169

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

170

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

E-Print Network (OSTI)

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

Liang, Weifa

171

Open Automated Demand Response Technologies for Dynamic Pricing and Smart Grid  

E-Print Network (OSTI)

6/16/2010. OASIS SDO. “Energy Market Information Exchange (of Prices CAISO’s Wholesale Energy Market Prices PG&E’s PDPWe used the CAISO wholesale energy market prices for the RTP

Ghatikar, Girish

2010-01-01T23:59:59.000Z

172

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

173

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

E-Print Network (OSTI)

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

Davis, Zephaniah K.

2014-01-01T23:59:59.000Z

174

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

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

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

175

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

E-Print Network (OSTI)

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

Albanese, Claudio

176

CM-1-H Wholesale Power Rate Schedule | Department of Energy  

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

CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule Area: MEAM, MDEA, and SMEPA System: CU This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency. This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CM-1-H Rate Schedule More Documents & Publications CEK-1-H Wholesale Power Rate Schedule CSI-1-H Wholesale Power Rate Schedule

177

CM-1-H Wholesale Power Rate Schedule | Department of Energy  

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

CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule Area: MEAM, MDEA, and SMEPA System: CU This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency. This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CM-1-H Rate Schedule More Documents & Publications CEK-1-H Wholesale Power Rate Schedule CSI-1-H Wholesale Power Rate Schedule

178

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

E-Print Network (OSTI)

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

Powell, Warren B.

179

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: February 2012 Highlights: February 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during February 2012. Natural gas-fired generation increased in every region of the United States when compared to February 2011. Wholesale electricity prices remained in the low end of the annual range for most wholesale markets due to low demand and depressed natural gas prices Key Indicators Feb 2012 % Change from Feb. 2011 Total Net Generation (Thousand MWh) 310,298 -1.0% Residential Retail Price (cents/kWh) 11.55 3.9% Retail Sales (Thousand MWh) 285,684 -3.5% Heating Degree-Days 654 -12.0% Natural Gas Price, Henry Hub ($/MMBtu) 2.60 -38.1% Coal Stocks (Thousand Tons) 186,958 -13.6% Coal Consumption (Thousand Tons) 62,802 -14.6% Natural Gas Consumption

180

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: August 2011 Highlights: August 2011 Extreme heat in Texas, New Mexico, Colorado and Arizona drove significant increases in the retail sales of electricity in the Southwest. Wind generation increased in much of the United States, except the middle of the country where total generation declined. Bituminous coal stocks dropped 14% from August 2010. Key indicators Same Month 2010 Year to date Total Net Generation -1% 11% Residential Retail Price -6% 11% Cooling Degree-Days -3% 2% Natural Gas Price, Henry Hub -6% -9% Bituminous Coal Stocks -14% -14% Subbituminous Coal Stocks -10% -17% Heat wave drives record demand and wholesale prices in Texas A prolonged August heat wave in Texas stressed available generating capacity and produced very high wholesale prices in the Electric

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

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

Science Journals Connector (OSTI)

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

Jakub Nowotarski; Rafa? Weron

2014-08-01T23:59:59.000Z

182

Time Series Methods for ForecastingElectricityMarket Pricing Zoran Obradovic Kevin Tomsovic  

E-Print Network (OSTI)

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

Obradovic, Zoran

183

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

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

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

184

Electricity Transmission Pricing: How Contracts Must Reflect Costs  

Science Journals Connector (OSTI)

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

Graham Shuttleworth

1996-01-01T23:59:59.000Z

185

Residential implementation of critical-peak pricing of electricity  

E-Print Network (OSTI)

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

Herter, Karen

2006-01-01T23:59:59.000Z

186

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

187

2009 Wind Technologies Market Report  

E-Print Network (OSTI)

lower wholesale electricity prices. In fact, it is possiblehigher wholesale electricity prices or with greater demandand Wholesale Electricity Price Hubs Used in Analysis 2009

Wiser, Ryan

2010-01-01T23:59:59.000Z

188

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

Science Journals Connector (OSTI)

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

Peng Kou; Deliang Liang; Lin Gao; Jianyong Lou

2015-01-01T23:59:59.000Z

189

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

190

Real-Time Pricing of Electricity: An Assessment  

E-Print Network (OSTI)

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

Baughman, M. L.; Zarnikau, J.

191

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network (OSTI)

1977-1978 HEATING OIL PRICES II-1 II-3 II-3 Wholesale PricesMonthly U.S. Heating Oil Prices, 1970 - 1978 . . A-16 .H-3 .continuous No. 2 heating oil price information from 1970 to

Hopelain, D.G.

2011-01-01T23:59:59.000Z

192

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

193

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

E-Print Network (OSTI)

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

Gerkmann, Ralf

194

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

195

Tariff-based analysis of commercial building electricity prices  

E-Print Network (OSTI)

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

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

2008-01-01T23:59:59.000Z

196

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

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

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

197

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

198

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

Science Journals Connector (OSTI)

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

Richard Green

2007-04-01T23:59:59.000Z

199

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

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

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

200

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

SciTech Connect

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

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

2008-05-01T23:59:59.000Z

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

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

E-Print Network (OSTI)

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

Powell, Warren B.

202

CC-1-I Wholesale Power Rate Schedule | Department of Energy  

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

CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule Area: Carolina Power & Light Company, Western Division System: CU This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CC-1-I Rate Schedule More Documents & Publications CM-1-H Wholesale Power Rate Schedule

203

CC-1-I Wholesale Power Rate Schedule | Department of Energy  

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

CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule CC-1-I Wholesale Power Rate Schedule Area: Carolina Power & Light Company, Western Division System: CU This rate schedule shall be available to public bodies and cooperatives served through the facilities of Carolina Power & Light Company, Western Division (hereinafter called the Customers). This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Document Available for Download CC-1-I Rate Schedule More Documents & Publications CM-1-H Wholesale Power Rate Schedule

204

A Tracing Method for Pricing Inter-Area Electricity Trades  

E-Print Network (OSTI)

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

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

2004-06-16T23:59:59.000Z

205

CM-1-H Wholesale Power Rate Schedule | Department of Energy  

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

CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule CM-1-H Wholesale Power Rate Schedule October 1, 2011 - 3:22pm Addthis Availability: This rate schedule shall be available to the South Mississippi Electric Power Association, Municipal Energy Agency of Mississippi, and Mississippi Delta Energy Agency (hereinafter called the Customers). Applicability: This rate schedule shall be applicable to electric capacity and energy available from the Dale Hollow, Center Hill, Wolf Creek, Cheatham, Old Hickory, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereinafter called collectively the "Cumberland Projects") and sold in wholesale quantities. Character of Service: The electric capacity and energy supplied hereunder will be three phase

206

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)

207

New England Wind Forum: Wind Compared to the Cost of Other Electricity  

Wind Powering America (EERE)

Wind Compared to the Cost of Other Electricity Generation Options Wind Compared to the Cost of Other Electricity Generation Options Figure 1: Average Cumulative Wind and Wholesale Power Prices by Region The chart shows average cumulative wind and wholesale power prices by region. Click on the graph to view a larger version. View a larger version of the graph. In terms of direct costs, larger wind farms in windier areas are now considered economically competitive with "conventional" fossil fuel power plants in many locations. In New England, direct costs for wind power at larger sites with strong winds are approaching the cost of alternatives, particularly given the recent high natural gas and oil prices. Figure 1 compares wind contract prices1 with wholesale electricity market prices in different U.S. regions for 2006. Although not directly comparable to wind prices due to wind's production timing and intermittence, the value of wind Renewable Energy Credits and carbon offsets, and the cost of wind integration and transmission, the average wholesale market energy price is a good indicator of the cost of alternative generation options. This graph demonstrates several points:

208

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

Gasoline and Diesel Fuel Update (EIA)

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

209

Energy Department Releases Updated eGallon Prices as Electric...  

Energy Savers (EERE)

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

210

AP-2-B Wholesale Power Rate Schedule | Department of Energy  

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

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule AP-2-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download

211

MISS-1-N Wholesale Power Rate Schedule | Department of Energy  

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

MISS-1-N Wholesale Power Rate Schedule MISS-1-N Wholesale Power Rate Schedule MISS-1-N Wholesale Power Rate Schedule Area: South Mississippi Electric Power Association System: Georgia-Alabama-South Carolina This rate schedule shall be available to the South Mississippi Electric Power Association (hereinafter called the Customer) to whom power may be wheeled pursuant to contracts between the Government and PowerSouth Energy Cooperative (hereinafter called PowerSouth). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

212

AP-4-B Wholesale Power Rate Schedule | Department of Energy  

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

4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule AP-4-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia served through the facilities of American Electric Power Service Corporation (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download AP-4-B Rate Schedule More Documents & Publications

213

AP-3-B Wholesale Power Rate Schedule | Department of Energy  

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

3-B Wholesale Power Rate Schedule 3-B Wholesale Power Rate Schedule AP-3-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download

214

AP-1-B Wholesale Power Rate Schedule | Department of Energy  

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

1-B Wholesale Power Rate Schedule 1-B Wholesale Power Rate Schedule AP-1-B Wholesale Power Rate Schedule Area: American Electric Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia to whom power may be transmitted and scheduled pursuant to contracts between the Government, American Electric Power Service Corporation (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer.

215

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

Science Journals Connector (OSTI)

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

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

2008-03-19T23:59:59.000Z

216

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

February 2012 | Release Date: Apr. 30, February 2012 | Release Date: Apr. 30, 2012 | Next Release Date: May 25, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: February 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during February 2012. Natural gas-fired generation increased in every region of the United States when compared to February 2011. Wholesale electricity prices remained in the low end of the annual range for most wholesale markets due to low demand and depressed natural gas prices Key Indicators Feb 2012 % Change from Feb. 2011

217

Customer satisfaction and price acceptance in the case of electricity supply  

Science Journals Connector (OSTI)

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

Gabor Rekettye; Jozsef Pinter

2006-01-01T23:59:59.000Z

218

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

Gasoline and Diesel Fuel Update (EIA)

Discontinued Wholesale Market Data Discontinued Wholesale Market Data Intercontinental Exchange (ICE) data, republished with permission. Includes: daily volumes, high and low prices, and weighted average prices for five major electricity trading hubs around the country from 2001 forward. Data are updated by EIA biweekly. Wholesale Day Ahead Prices at Selected Hubs, Peak Trading Hub Region Cinergy1 Ohio AEP Dayton2 Ohio SP 153 California ERCOT PEAK4 Texas 2011 xls 2010 xls 2009 xls xls 2008 xls xls xls xls 2007 xls xls xls xls 2006 xls xls xls xls 2005 xls xls xls xls 2004 xls xls xls 2003 xls xls xls 2002 xls xls xls 2001 xls xls xls 1 The data series ended in 2008. 2 This data series is from the year 2005 through August 2011. 3 The data series ended March 2009.

219

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

220

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

Science Journals Connector (OSTI)

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

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

2015-01-01T23:59:59.000Z

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

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

222

INTERIM VALIDATION REPORT MIDDLE DISTILLATE PRICE MONITORING SYSTEM  

E-Print Network (OSTI)

to Wholesalers 1977-1978 HEATING OIL PRICES II-1 II-3 II-3Frame. Monthly U.S. Heating Oil Prices, 1970 - 1978 . . A-the only continuous No. 2 heating oil price information from

Hopelain, D.G.

2011-01-01T23:59:59.000Z

223

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

Science Journals Connector (OSTI)

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

Carolina García-Martos; Julio Rodríguez; María Jesús Sánchez

2013-01-01T23:59:59.000Z

224

Electricity Prices in Transition (released in AEO2007)  

Reports and Publications (EIA)

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

2007-01-01T23:59:59.000Z

225

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

226

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

227

NC-1-B Wholesale Power Rate Schedule | Department of Energy  

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

NC-1-B Wholesale Power Rate Schedule NC-1-B Wholesale Power Rate Schedule NC-1-B Wholesale Power Rate Schedule Area: Virginia Power/CP&L System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to a contract between the Government and Virginia Electric and Power Company (hereinafter called the Virginia Power) and PJM Interconnection LLC (hereinafter called PJM), scheduled pursuant to a contract between the Government and Carolina Power & Light Company (hereinafter called CP&L), and billed pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale of power

228

VA-4-B Wholesale Power Rate Schedule | Department of Energy  

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

4-B Wholesale Power Rate Schedule 4-B Wholesale Power Rate Schedule VA-4-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina served through the transmission facilities of Virginia Electric and Power Company (hereinafter called the Company) and PJM Interconnection LLC (hereinafter called PJM). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download VA-4-B Rate Schedule More Documents & Publications

229

VA-2-B Wholesale Power Rate Schedule | Department of Energy  

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

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule VA-2-B Wholesale Power Rate Schedule Area: Virginia Power System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Virginia and North Carolina to whom power may be transmitted pursuant to contracts between the Government, Virginia Electric and Power Company (hereinafter called the Company), the Company's Transmission Operator, currently PJM Interconnection LLC (hereinafter called PJM), and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download

230

2007 Wholesale Power Rate Case Final Proposal : Risk Analysis Study Documentation.  

SciTech Connect

The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-FS-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-FS-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-FS-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-FS-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-FSBPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

231

2007 Wholesale Power Rate Case Initial Proposal : Risk Analysis Study Documentation.  

SciTech Connect

The RiskMod Model is comprised of a set of risk simulation models, collectively referred to as RiskSim; a set of computer programs that manages data referred to as Data Management Procedures; and RevSim, a model that calculates net revenues. RiskMod interacts with the AURORA Model, the RAM2007, and the ToolKit Model during the process of performing the Risk Analysis Study. AURORA is the computer model being used to perform the Market Price Forecast Study (see Market Price Forecast Study, WP-07-E-BPA-03); the RAM2007 is the computer model being used to calculate rates (see Wholesale Power Rate Development Study, WP-07-E-BPA-05); and the ToolKit is the computer model being used to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard (see Section 3 in the Risk Analysis Study, WP-07-E-BPA-04). Variations in monthly loads, resources, natural gas prices, forward market electricity prices, transmission expenses, and aluminum smelter benefit payments are simulated in RiskSim. Monthly spot market electricity prices for the simulated loads, resources, and natural gas prices are estimated by the AURORA Model. Data Management Procedures facilitate the format and movement of data that flow to and/or from RiskSim, AURORA, and RevSim. RevSim estimates net revenues using risk data from RiskSim, spot market electricity prices from AURORA, loads and resources data from the Load Resource Study, WP-07-E-BPA-01, various revenues from the Revenue Forecast component of the Wholesale Power Rate Development Study, WP-07-E-BPA-05, and rates and expenses from the RAM2007. Annual average surplus energy revenues, purchased power expenses, and section 4(h)(10)(C) credits calculated by RevSim are used in the Revenue Forecast and the RAM2007. Heavy Load Hour (HLH) and Light Load Hour (LLH) surplus and deficit energy values from RevSim are used in the Transmission Expense Risk Model. Net revenues estimated for each simulation by RevSim are input into the ToolKit Model to develop the risk mitigation package that achieves BPA's 92.6 percent TPP standard. The processes and interaction between each of the models and studies are depicted in Graph 1.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

232

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

Science Journals Connector (OSTI)

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

Xing Yan; Nurul A. Chowdhury

2013-01-01T23:59:59.000Z

233

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

THE WEEK'S PRICE CHANGES ... United Fuel Gas Co., Charleston, W. Va., has been authorized by Federal Power Commission to increase its wholesale rates for natural gas. ... Monarch Chemical Co., 161 East 42nd St., New York, announced at trie start of the month that it is advancing prices on its line of baking powders and creams, effective Aug. 31. ...

1953-08-17T23:59:59.000Z

234

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.

235

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

E-Print Network (OSTI)

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

California at Berkeley. University of

236

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

SciTech Connect

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

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

2012-12-01T23:59:59.000Z

237

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

Science Journals Connector (OSTI)

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

Petter Skantze; Marija Ilic; Andrej Gubina

2004-10-01T23:59:59.000Z

238

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

E-Print Network (OSTI)

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

Sun, Xian-He

239

Patterns of Pass-through of Commodity Price Shocks to Retail Prices  

E-Print Network (OSTI)

B. 1975. “The Farm-Retail Price Spread in a Competitive FoodD. Reiffen. 2004. “Patterns of Retail Price Variation. ” TheE. 2008. “Pass-through in Retail and Wholesale. ” American

Berck, Peter; Leibtag, Ephraim S.; Villas-Boas, Sofia B.; Solis, Alex

2009-01-01T23:59:59.000Z

240

Customer Strategies for Responding to Day-Ahead Market HourlyElectricity Pricing  

SciTech Connect

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

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

2005-08-25T23:59:59.000Z

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

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

Science Journals Connector (OSTI)

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

Shingo Kawashima; Fumiko Takeda

2012-01-01T23:59:59.000Z

242

Dynamic Testing of Wholesale Power Market Designs  

E-Print Network (OSTI)

the U.S. Federal Energy Regulatory Commission proposed the Wholesale Power Market Platform (WPMPDynamic Testing of Wholesale Power Market Designs: An Open-Source Agent-Based Framework1 Junjie Sun ­ the Wholesale Power Market Platform (WPMP) ­ for common adoption by all U.S. wholesale power markets. Versions

Tesfatsion, Leigh

243

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

244

Prices J F M A M J J A S O N D  

Annual Energy Outlook 2012 (EIA)

6 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual Fuel Oil Prices and Volumes Figure Volumes J F M A M J J...

245

Prices J F M A M J J A S O N D  

Annual Energy Outlook 2012 (EIA)

7 Cents per Gallon Excluding Taxes Retail < or 1% Wholesale < or 1% Retail > 1% Wholesale > 1% 7. U.S. Refiner Residual Fuel Oil Prices and Volumes Figure Volumes J F M A M J J...

246

Variable electricity prices for aluminium smelting in northwestern USA  

Science Journals Connector (OSTI)

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

Paul Spies

1990-01-01T23:59:59.000Z

247

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

Science Journals Connector (OSTI)

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

David Young; Stephen Poletti; Oliver Browne

2014-01-01T23:59:59.000Z

248

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Electricity Reports Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

249

Electricity Transmission Congestion Costs: A Review of Recent Reports |  

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

Electricity Transmission Congestion Costs: A Review of Recent Electricity Transmission Congestion Costs: A Review of Recent Reports Electricity Transmission Congestion Costs: A Review of Recent Reports This study reviews reports of congestion costs and begins to assess their implications for the current national discussion on the importance of the U.S. electricity transmission system for enabling competitive wholesale electricity markets. As a guiding principle, we posit that a more robust electricity system could reduce congestion costs; and thereby, 1) facilitate more vibrant and fair competition in wholesale electricity markets, and 2)enable consumers to seek out the lowest prices for electricity. Yet, examining the details suggests that, sometimes, there will be trade-offs between these goals. Therefore, it is

250

Retail Price Changes Lag Spot Prices  

Gasoline and Diesel Fuel Update (EIA)

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

251

Illinois Municipal Electric Agency- Electric Efficiency Program  

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

The Illinois Municipal Electric Agency (IMEA) offers rebates to member municipal utilities* (those who purchase wholesale electric service from IMEA) and retail customers for energy efficiency...

252

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

253

Property:EIA/861/ActivityWholesaleMarketing | Open Energy Information  

Open Energy Info (EERE)

ActivityWholesaleMarketing ActivityWholesaleMarketing Jump to: navigation, search This is a property of type Boolean. Description: Activity Wholesale Marketing Entity engages in wholesale power marketing (Y or N) [1] References ↑ EIA Form EIA-861 Final Data File for 2008 - F861 File Layout-2008.doc Pages using the property "EIA/861/ActivityWholesaleMarketing" Showing 25 pages using this property. (previous 25) (next 25) A AEP Generating Company + true + AES Eastern Energy LP + true + AGC Division of APG Inc + true + Alabama Power Co + true + Alaska Power and Telephone Co + true + Allegheny Energy Supply Co LLC + true + Ameren Energy Marketing + true + American Mun Power-Ohio, Inc + true + Arizona Electric Pwr Coop Inc + true + Arizona Public Service Co + true + Arkansas Electric Coop Corp + true +

254

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR  

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

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY The enclosed report is submitted to Congress pursuant to section 1815 of the Energy Policy Act of 2005. Section 1815 of the Act established a five-member Electric Energy Market Competition Task Force. The Energy Policy Act of 2005 (EPAct 2005)1 was designed to provide a comprehensive long-range energy plan for the United States. Section 1815 of the Act2 created an "Electric Energy Market Competition Task Force"3 (Task Force) to conduct a study of competition in wholesale and retail markets for electricity in the United States. Section 1815(b)(2)(B) required the Task Force to publish a draft final report for public comment

255

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR  

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

REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY REPORT TO CONGRESS ON COMPETITION IN WHOLESALE AND RETAIL MARKETS FOR ELECTRIC ENERGY The enclosed report is submitted to Congress pursuant to section 1815 of the Energy Policy Act of 2005. Section 1815 of the Act established a five-member Electric Energy Market Competition Task Force. The Energy Policy Act of 2005 (EPAct 2005)1 was designed to provide a comprehensive long-range energy plan for the United States. Section 1815 of the Act2 created an "Electric Energy Market Competition Task Force"3 (Task Force) to conduct a study of competition in wholesale and retail markets for electricity in the United States. Section 1815(b)(2)(B) required the Task Force to publish a draft final report for public comment

256

Strategic Pricing and Resource Allocation: Framework and Applications  

E-Print Network (OSTI)

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

Ren, Shaolei

2012-01-01T23:59:59.000Z

257

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

Science Journals Connector (OSTI)

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

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

2011-01-01T23:59:59.000Z

258

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

259

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

260

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

E-Print Network (OSTI)

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

Liberzon, Daniel

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

CTVI-1-A Wholesale Power Rate Schedule | Department of Energy  

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

CTVI-1-A Wholesale Power Rate Schedule CTVI-1-A Wholesale Power Rate Schedule CTVI-1-A Wholesale Power Rate Schedule Area: Former customers of TVA System: Cumberland This rate schedule shall be available to customers (hereinafter called the Customer) who are or were formerly in the Tennessee Valley Authority (hereinafter called TVA) service area. This rate schedule shall be applicable to electric capacity and energy generated at the Dale Hollow, Center Hill, Wolf Creek, Old Hickory, Cheatham, Barkley, J. Percy Priest, and Cordell Hull Projects (all of such projects being hereafter called collectively the "Cumberland Projects") and the Laurel Project sold under agreement between the Department of Energy and the Customer. Document Available for Download CTVI-1-A Rate Schedule More Documents & Publications

262

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: November 2011 Highlights: November 2011 Warm temperatures across the Eastern half of the continental U.S. led to flat or lower retail sales of electricity during November 2011. Coal-fired generation decreased in every region of the United States when compared to November 2010. Wholesale electricity prices set annual lows across the East coast as well as in the ERCOT portion of Texas in November 2011. Key Indicators Nov. 2011 % Change from Nov. 2010 Total Net Generation (Thousand MWh) 304,268 -0.6% Residential Retail Price (cents/kWh) 11.88 2.2% Retail Sales (Thousand MWh) 273,053 -0.7% Heating Degree-Days 469 -10.3% Natural Gas Price, Henry Hub ($/MMBtu) 3.32 -13.8% Coal Stocks (Thousand Tons) 168,354 8.9% Coal Consumption (Thousand Tons) 66,789 -8.2% Natural Gas Consumption

263

Electricity Monthly Update  

Annual Energy Outlook 2012 (EIA)

Update November 28, 2012 Map of Electric System Selected for Daily Peak Demand was replaced with the correct map showing Selected Wholesale Electricity and Natural Gas Locations....

264

Integrated Retail & Wholesale Power System Operation  

E-Print Network (OSTI)

(open-source release): AMES Wholesale Power Market Testbed (ISU) + GridLAB-D distribution platform (DOE in Wholesale Power Markets: Experimental Findings Using an Agent-Based Testbed", invited talk for the Institute of Retail and Wholesale Power System Operations", Agent Technologies for Energy Systems (ATES) Workshop

Tesfatsion, Leigh

265

Gasoline Prices at Historical Lows  

Gasoline and Diesel Fuel Update (EIA)

0 0 Notes: Before looking at El Paso gasoline prices, letÂ’s take a minute to look at the U.S. average price for context. Gasoline prices this year, adjusted for inflation, are the lowest ever. Back in March, before prices began to rise ahead of the traditional high-demand season, the U.S. average retail price fell to $1.00 per gallon. Prices rose an average of 7.5 cents, less than the typical seasonal runup, to peak in early June. Since then, prices have fallen back to $1.013. Given recent declines in crude oil and wholesale gasoline prices, we expect retail prices to continue to ease over at least the next few weeks. Since their sharp runup during the energy crises of the 1970Â’s, gasoline prices have actually been non-inflationary. Adjusting the historical prices by the Consumer Price Index, we can see that todayÂ’s

266

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localof the relationship between energy factor markets, leasing

Jaffee, Dwight M.; Stanton, Richard; Wallace, Nancy E.

2010-01-01T23:59:59.000Z

267

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Alocal-level wholesale energy market price dynamics and localfunction of local energy-market and weather characteristics

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

268

Energy Factors, Leasing Structure and the Market Price of Office Buildings in the U.S.  

E-Print Network (OSTI)

contractual, energy and market-related characteristics. Afunction of local energy-market and weather characteristicslocal-level wholesale energy market price dynamics and local

Jaffee, Dwight; Stanton, Richard; Wallace, Nancy

2012-01-01T23:59:59.000Z

269

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

270

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

SciTech Connect

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

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

1995-02-01T23:59:59.000Z

271

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

Science Journals Connector (OSTI)

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

Paddy Finn; Colin Fitzpatrick

2014-01-01T23:59:59.000Z

272

SCE&G-1-E Wholesale Power Rate Schedule | Department of Energy  

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

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule SCE&G-1-E Wholesale Power Rate Schedule Area: South Carolina Electric & Gas Area System: Georgia-Alabama-South Carolina This rate schedule shall be available public bodies and cooperatives (any one of which is hereinafter called the Customer) in South Carolina to whom power may be wheeled and scheduled pursuant to contracts between the Government and the South Carolina Electric & Gas Company (hereinafter called the Company). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate

273

Volatility of Power Grids under Real-Time Pricing  

E-Print Network (OSTI)

The paper proposes a framework for modeling and analysis of the dynamics of supply, demand, and clearing prices in power system with real-time retail pricing and information asymmetry. Real-time retail pricing is characterized by passing on the real-time wholesale electricity prices to the end consumers, and is shown to create a closed-loop feedback system between the physical layer and the market layer of the power system. In the absence of a carefully designed control law, such direct feedback between the two layers could increase volatility and lower the system's robustness to uncertainty in demand and generation. A new notion of generalized price-elasticity is introduced, and it is shown that price volatility can be characterized in terms of the system's maximal relative price elasticity, defined as the maximal ratio of the generalized price-elasticity of consumers to that of the producers. As this ratio increases, the system becomes more volatile, and eventually, unstable. As new demand response technolo...

Roozbehani, Mardavij; Mitter, Sanjoy K

2011-01-01T23:59:59.000Z

274

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,

275

Gasoline Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

Gasoline Price Pass-through Gasoline Price Pass-through January 2003 by Michael Burdette and John Zyren* The single most visible energy statistic to American consumers is the retail price of gasoline. While the average consumer probably has a general notion that gasoline prices are related to those for crude oil, he or she likely has little idea that gasoline, like most other goods, is priced at many different levels in the marketing chain, and that changes ripple through the system as prices rise and fall. When substantial price changes occur, especially upward, there are often allegations of impropriety, even price gouging, on the part of petroleum refiners and/or marketers. In order to understand the movement of gasoline prices over time, it is necessary to examine the relationship between prices at retail and various wholesale levels.

276

Flexible Demand Management under Time-Varying Prices  

E-Print Network (OSTI)

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

Liang, Yong

2012-01-01T23:59:59.000Z

277

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

Science Journals Connector (OSTI)

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

D. Azofra; E. Martínez; E. Jiménez; J. Blanco; F. Azofra; J.C. Saenz-Díez

2015-01-01T23:59:59.000Z

278

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: December 2011 Highlights: December 2011 Warm temperatures across the Eastern half of the continental U.S. led to lower retail sales of electricity during December 2011. Coal-fired generation decreased in every region of the United States when compared to December 2010. Electric system load ranged in the mid-to-low section of the annual range across all wholesale regions except the Bonneville Power Administration in the Northwest in December 2011. Key Indicators Dec. 2011 % Change from Dec. 2010 Total Net Generation (Thousand MWh) 336,419 -7.1% Residential Retail Price (cents/kWh) 11.52 4.2% Retail Sales (Thousand MWh) 299,421 -6.1% Heating Degree-Days 713 -20.6% Natural Gas Price, Henry Hub ($/MMBtu) 3.24 -25.7% Coal Stocks (Thousand Tons) 175,100 -0.1% Coal Consumption

279

A SURVEY OF COMMODITY MARKETS AND STRUCTURAL MODELS FOR ELECTRICITY PRICES  

E-Print Network (OSTI)

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

Carmona, Rene

280

Competition and price asymmetries in the Greek oil sector: an empirical analysis on gasoline market  

Science Journals Connector (OSTI)

This article attempts to investigate the issue of asymmetries in the transmission of shocks to input prices and exchange rate onto the wholesale and retail price of gasoline respectively. For this purpose, we ...

Michael L. Polemis

2012-10-01T23:59:59.000Z

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

Pump-1-A Wholesale Power Rate Schedule | Department of Energy  

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

1-A Wholesale Power Rate Schedule Pump-1-A Wholesale Power Rate Schedule Area: Carters & Russell Pumping System: Georgia-Alabama-South Carolina This rate schedule shall be...

282

SCE&G-2-E Wholesale Power Rate Schedule | Department of Energy  

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

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule SCE&G-2-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available public bodies and cooperatives (any one of which is hereinafter called the Customer) in South Carolina to whom power may be wheeled pursuant to contracts between the Government and the South Carolina Electric & Gas Company (hereinafter called the Company). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

283

SCE&G-4-E Wholesale Power Rate Schedule | Department of Energy  

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

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule SCE&G-4-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available public bodies and cooperatives (any one of which is hereinafter called the Customer) in South Carolina served through the transmission facilities of South Carolina Electric & Gas Company (hereinafter called the Company). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B.

284

SCE&G-3-E Wholesale Power Rate Schedule | Department of Energy  

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

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule SCE&G-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available public bodies and cooperatives (any one of which is hereinafter called the Customer) in South Carolina to whom power may be scheduled pursuant to contracts between the Government and the South Carolina Electric & Gas Company (hereinafter called the Company). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

285

2012 National Electricity Forum  

Energy Savers (EERE)

of reliability, resource options, wholesale competition and market power, cost of electricity to consumers, environmental quality, or other? Are these consequences so...

286

Electricity Monthly Update - Energy Information Administration  

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

all Electricity Reports all Electricity Reports Electricity Monthly Update With Data for October 2013 | Release Date: Dec. 20, 2013 | Next Release Date: Jan. 22, 2014 Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: October 2013 Thirty-one states saw the average cost of electricity increase by more than two percent, with fourteen states experiencing increases of at least five percent compared to a year ago. Texas (ERCOT) and the Midwest (MISO) experienced above average wholesale electricity prices for October due to unseasonable temperatures. The New York City (Transco Zone 6 NY) natural gas price was

287

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

288

2007 Wholesale Power Rate Case Initial Proposal : Wholesale Power Rate Development Study.  

SciTech Connect

The Wholesale Power Rate Development Study (WPRDS) calculates BPA proposed rates based on information either developed in the WPRDS or supplied by the other studies that comprise the BPA rate proposal. All of these studies, and accompanying documentation, provide the details of computations and assumptions. In general, information about loads and resources is provided by the Load Resource Study (LRS), WP-07-E-BPA-01, and the LRS Documentation, WP-07-E-BPA-01A. Revenue requirements information, as well as the Planned Net Revenues for Risk (PNNR), is provided in the Revenue Requirement Study, WP-07-E-BPA-02, and its accompanying Revenue Requirement Study Documentation, WP-07-E-BPA-02A and WP-07-E-BPA-02B. The Market Price Forecast Study (MPFS), WP-07-E-BPA-03, and the MPFS Documentation, WP-07-E-BPA-03A, provide the WPRDS with information regarding seasonal and diurnal differentiation of energy rates, as well information regarding monthly market prices for Demand Rates. In addition, this study provides information for the pricing of unbundled power products. The Risk Analysis Study, WP-07-E-BPA-04, and the Risk Analysis Study Documentation, WP-07-E-BPA-04A, provide short-term balancing purchases as well as secondary energy sales and revenue. The Section 7(b)(2) Rate Test Study, WP-07-E-BPA-06, and the Section 7(b)(2) Rate Test Study Documentation, WP-07-E-BPA-06A, implement Section 7(b)(2) of the Northwest Power Act to ensure that BPA preference customers firm power rates applied to their general requirements are no higher than rates calculated using specific assumptions in the Northwest Power Act.

United States. Bonneville Power Administration.

2007-11-01T23:59:59.000Z

289

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

E-Print Network (OSTI)

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

Sekhon, Jasjeet S.

290

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

Science Journals Connector (OSTI)

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

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

2014-01-01T23:59:59.000Z

291

Demand responsive programs - an emerging resource for competitive electricity markets?  

SciTech Connect

The restructuring of regional electricity markets in the U.S. has been accompanied by numerous problems, including generation capacity shortages, transmission congestion, wholesale price volatility, and reduced system reliability. These problems have created significant new opportunities for technologies and business approaches that allow load serving entities and other aggregators, to control and manage the load patterns of their wholesale or retail end-users. These technologies and business approaches for manipulating end-user load shapes are known as Load Management or, more recently, Demand Responsive programs. Lawrence Berkeley National Laboratory (LBNL) is conducting case studies on innovative demand responsive programs and presents preliminary results for five case studies in this paper. These case studies illustrate the diversity of market participants and range of technologies and business approaches and focus on key program elements such as target markets, market segmentation and participation results; pricing scheme; dispatch and coordination; measurement, verification, and settlement; and operational results where available.

Heffner, Grayson C. Dr.; Goldman, Charles A.

2001-06-25T23:59:59.000Z

292

Open Automated Demand Response Dynamic Pricing Technologies and Demonstration  

E-Print Network (OSTI)

Center for the Study of Energy Markets Paper CSEMWP-105.OASIS SDO. 2010b. “Energy Market Information Exchange (eMIX)charges. • Wholesale energy market prices are volatile, and

Ghatikar, Girish

2010-01-01T23:59:59.000Z

293

Winter Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

7 7 Notes: Residential heating oil prices reflect a similar pattern to that shown in spot prices. However, like other retail petroleum prices, they tend to lag changes in wholesale prices in both directions, with the result that they don't rise as rapidly or as much, but they take longer to recede. This chart shows the residential heating oil prices collected under the State Heating Oil and Propane Program (SHOPP), which only runs during the heating season, from October through March. The spike in New York Harbor spot prices last winter carried through to residential prices throughout New England and the Central Atlantic states. Though the spike actually lasted only a few weeks, residential prices ended the heating season well above where they had started.

294

,"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)"

295

,"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)"

296

,"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)"

297

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

298

,"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)"

299

The Price of Feed Utilities.  

E-Print Network (OSTI)

the averages which appeared most probable. Table 1-Assumed selling prices, per ton, used in calculations. - I Wholesale ! Pennsylvania Indiana - - -' -__- Texa 1916 ..................... 1917 .................... 1918 ..................... 1920... in these cases it is put down as zero and the productive energy calculated with digestible protein having nc The figures for Texas 1923 are the averages for January an( value. Marc2 Table 3-Comparative prices of therms of productive energy and pounds...

Fraps, G. S. (George Stronach)

1924-01-01T23:59:59.000Z

300

An Equilibrium Model of Investment in Restructured Electricity Markets  

E-Print Network (OSTI)

in Deregulated Wholesale Electricity Markets,” RAND JournalBehavior in a Competitive Electricity Market,” InternationalMarket Power in Electricity Markets: Beyond Concentration

Bushnell, Jim B; Ishii, Jun

2007-01-01T23:59:59.000Z

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

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

Science Journals Connector (OSTI)

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

Andreas G. Vlachos; Pandelis N. Biskas

2014-01-01T23:59:59.000Z

302

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

E-Print Network (OSTI)

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

Darghouth, Naim

2014-01-01T23:59:59.000Z

303

Volatile Energy Costs and the Floundering Deregulation of Electricity: A  

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

Volatile Energy Costs and the Floundering Deregulation of Electricity: A Volatile Energy Costs and the Floundering Deregulation of Electricity: A Fresh Look at Integrating Supply-Side and Demand-Side Resources Speaker(s): Bill Kelly Robert Redlinger Date: January 19, 2001 - 12:00pm Location: 90-3148 Seminar Host/Point of Contact: Julie Osborn The restructuring of the California electricity industry has not proceeded as intended. A generation capacity shortage, combined with spiraling natural gas costs and a flawed electricity market structure, have led to unprecedented wholesale electricity prices, power outages, and a political and financial crisis for the State. This crisis will not be solved through increasing electricity supply alone. Energy industry observers agree that 1.) energy efficiency, 2.) distributed on-site generation, and 3.) price

304

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

E-Print Network (OSTI)

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

305

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

306

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

E-Print Network (OSTI)

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

Scott, Christopher

307

New York Home Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

5 of 15 5 of 15 Notes: The severity of this spot price increase is causing dramatic changes in residential home heating oil prices, although residential price movements are usually a little slower and spread out over time compared to spot prices. Wholesale prices increased over 50 cents from January 17 to January 24, while retail increased 44 cents in New York. Diesel prices are showing a similar pattern to residential home heating oil prices, and are indicating that home heating oil prices may not have peaked yet, although spot prices are dropping. Diesel prices in New England and the Mid-Atlantic increased 30-40 cents January 24 over the prior week, and another 13-15 cents January 31. Spot prices plummeted January 31, closing at 82 cents per gallon, indicating the worst part of the crisis may be over, but it is still a

308

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

E-Print Network (OSTI)

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

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

309

Wholesale Propane Weekly Heating Oil and Propane Prices (October - March)  

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

1.381 1.412 1.427 1.406 1.524 1.637 2013-2013 1.381 1.412 1.427 1.406 1.524 1.637 2013-2013 East Coast (PADD 1) 1.442 1.509 1.551 1.548 1.660 1.712 2013-2013 Central Atlantic (PADD 1B) 1.493 1.530 1.584 1.587 1.702 1.751 2013-2013 New Jersey 1.575 1.583 1.596 1.624 1.672 1.672 2013-2013 New York 1.516 1.562 1.637 1.642 1.792 1.864 2013-2013 Pennsylvania 1.432 1.478 1.541 1.529 1.659 1.720 2013-2013 Lower Atlantic (PADD 1C) 1.366 1.479 1.503 1.489 1.596 1.653 2013-2013 North Carolina 1.327 1.440 1.468 1.428 1.540 1.596 2013-2013 Virginia 1.468 1.578 1.592 1.645 1.740 1.800 2013-2013 Midwest (PADD 2) 1.356 1.373 1.379 1.351 1.471 1.607 2013-2013 Illinois 1.358 1.388 1.375 1.332 1.473 1.644 2013-2013 Indiana 1.436 1.484 1.509 1.484 1.636 1.772 2013-2013

310

Wholesale Heating Oil Weekly Heating Oil and Propane Prices (October -  

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

2.990 3.042 3.150 3.152 3.137 3.074 2013-2013 2.990 3.042 3.150 3.152 3.137 3.074 2013-2013 East Coast (PADD 1) 2.977 3.044 3.151 3.159 3.168 3.107 2013-2013 New England (PADD 1A) 3.012 3.084 3.194 3.205 3.222 3.166 2013-2013 Connecticut 3.001 3.074 3.187 3.198 3.207 3.143 2013-2013 Maine 3.006 3.074 3.179 3.181 3.202 3.158 2013-2013 Massachusetts 3.018 3.092 3.200 3.215 3.229 3.161 2013-2013 New Hampshire 3.003 3.076 3.200 3.216 3.247 3.238 2013-2013 Rhode Island 2.970 3.038 3.147 3.150 3.171 3.113 2013-2013 Vermont 3.115 3.190 3.301 3.309 3.334 3.274 2013-2013 Central Atlantic (PADD 1B) 2.964 3.030 3.135 3.144 3.149 3.084 2013-2013 Delaware 2.916 3.101 3.207 3.087 3.103 3.130 2013-2013 Maryland 2.920 2.992 3.109 3.099 3.111 3.047 2013-2013

311

Factors Impacting Gasoline Prices and Areas for Further Study  

Gasoline and Diesel Fuel Update (EIA)

Factors Impacting Gasoline Prices and Areas for Further Study Factors Impacting Gasoline Prices and Areas for Further Study 8/10/01 Click here to start Table of Contents Factors Impacting Gasoline Prices and Areas for Further Study Different Factors Impact Different Aspects of Gasoline Price Correlation of Price to Inventory Levels Crude Prices Strongly Related to OECD.Crude & Product Inventories Gasoline Prices Also Influenced by Regional Gasoline Product Markets Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) Retail Price Changes Lag Spot Prices Cumulative Gasoline Price Pass-through Illustration of How Lag Effect Dampens and Slows Retail Price Changes from Wholesale Recent Weekly Retail Price Changes Have Been as Expected Summary: Most Gasoline Price Movement Can Be Explained As Rational Market Behavior Author: Joanne Shore

312

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

November 2011 | Release Date: Jan. 30, November 2011 | Release Date: Jan. 30, 2012 | Next Release Date: Feb. 28, 2012 | Re-Release Date: November 28, 2012 (correction) Previous Issues Issue: November 2013 October 2013 September 2013 August 2013 July 2013 June 2013 May 2013 April 2013 March 2013 February 2013 January 2013 December 2012 November 2012 Previous issues Format: html xls Go Highlights: November 2011 Warm temperatures across the Eastern half of the continental U.S. led to flat or lower retail sales of electricity during November 2011. Coal-fired generation decreased in every region of the United States when compared to November 2010. Wholesale electricity prices set annual lows across the East coast as well as in the ERCOT portion of Texas in November 2011. Key Indicators Nov. 2011 % Change from Nov. 2010

313

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

SciTech Connect

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

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

2009-01-01T23:59:59.000Z

314

CTV-1-H Wholesale Power Rate Schedule | Department of Energy  

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

CTV-1-H Wholesale Power Rate Schedule CTV-1-H Wholesale Power Rate Schedule Area: Tennessee Valley Authority System: CU This rate schedule shall be available to the Tennessee...

315

CBR-1-H Wholesale Power Rate Schedule | Department of Energy  

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

CBR-1-H Wholesale Power Rate Schedule CBR-1-H Wholesale Power Rate Schedule Area: Big Rivers and Henderson, KY System: CU This rate schedule shall be available to Big Rivers...

316

Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF)  

E-Print Network (OSTI)

Safeguarding Truck-Shipped Wholesale and Retail Fuels (STSWRF) Oak Ridge National Laboratory approved ORNL's plan to conduct a Phase II Pilot Test titled Safeguarding Truck-Shipped Wholesale

317

1993 Wholesale Power and Transmission Rate Schedules.  

SciTech Connect

Bonneville Power Administration 1993 Wholesale Power Rate Schedules and General Rate Schedule Provisions and 1993 Transmission Rate Schedules and General Transmission Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1993. These rate schedules and provisions were approved by the Federal Energy Commission, United States Department of Energy, in September, 1993. These rate schedules and provisions supersede the Administration`s Wholesale Power Rate Schedules and General Rate Schedule Provisions and Transmission Rate Schedules and General Transmission Rate Schedule Provisions effective October 1, 1991.

US Bonneville Power Administration

1993-10-01T23:59:59.000Z

318

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

E-Print Network (OSTI)

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

Pedram, Massoud

319

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

320

"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

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

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

322

New wholesale power market design using linked forward markets : a study for the DOE energy storage systems program.  

SciTech Connect

This report proposes a reformulation of U.S. ISO/RTO-managed wholesale electric power mar- kets for improved reliability and e ciency of system operations. Current markets do not specify or compensate primary frequency response. They also unnecessarily limit the participation of new technologies in reserve markets and o er insu cient economic inducements for new capacity invest- ment. In the proposed market reformulation, energy products are represented as physically-covered rm contracts and reserve products as physically-covered call option contracts. Trading of these products is supported by a backbone of linked ISO/RTO-managed forward markets with planning horizons ranging from multiple years to minutes ahead. A principal advantage of this reformulation is that reserve needs can be speci ed in detail, and resources can o er the services for which they are best suited, without being forced to conform to rigid reserve product de nitions. This should improve the business case for electric energy storage and other emerging technologies to provide reserve. In addition, the facilitation of price discovery should help to ensure e cient energy/reserve procurement and adequate levels of new capacity investment.

Silva Monroy, Cesar Augusto; Loose, Verne William; Ellison, James F.; Elliott, Ryan Thomas; Byrne, Raymond Harry; Guttromson, Ross; Tesfatsion, Leigh S. [Iowa State University, Ames, IA

2013-04-01T23:59:59.000Z

323

Prices and Price Setting.  

E-Print Network (OSTI)

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

R.P. Faber (Riemer)

2010-01-01T23:59:59.000Z

324

Different Factors Impact Different Aspects of Gasoline Price  

Gasoline and Diesel Fuel Update (EIA)

1 1 Notes: In order to illustrate and quantify, to a large extent, the various market forces driving gasoline prices, we begin by decomposing those factors according to their location within the supply chain, i.e., the international crude market, U.S. wholesale gasoline markets, and the retail segment. Historically, variation in gasoline prices usually stems from changes in crude oil prices. As the major feedstock in the production of gasoline, shifts in the balance between supply and demand in crude markets explain a large portion of observed movements at the retail level. But shifts in the wholesale gasoline supply/demand balance also contribute to price pressure or movements at both the wholesale and retail levels beyond that stemming from crude oil markets.

325

Optimal Control of Residential Energy Storage Under Price Fluctuations  

E-Print Network (OSTI)

Optimal Control of Residential Energy Storage Under Price Fluctuations Peter van de ven Department habits. We formulate the problem of minimizing the cost of energy storage purchases subject to both user- gramming, energy storage, threshold policy. I. INTRODUCTION Wholesale energy prices exhibit significant

326

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

E-Print Network (OSTI)

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

Akbari, H.; Heinemeier, K. E.

1990-01-01T23:59:59.000Z

327

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

Science Journals Connector (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 ... generation costs that could be brought abou...

Ahmad Faruqui; Sanem Sergici

2010-10-01T23:59:59.000Z

328

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

Science Journals Connector (OSTI)

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

Pierre-Olivier Pineau; Stephan Schott

2005-01-01T23:59:59.000Z

329

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

Science Journals Connector (OSTI)

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

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

1988-01-01T23:59:59.000Z

330

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

Science Journals Connector (OSTI)

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

Rafa? Weron

2014-01-01T23:59:59.000Z

331

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

332

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

333

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

334

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

335

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

336

Copyright George Gross, 2004 1 Evolving Nature of Electricity Market Design in the U.S.  

E-Print Network (OSTI)

of the wholesale electricity industry including · the structure of wholesale energy markets; · transmissionCopyright George Gross, 2004 1 Evolving Nature of Electricity Market Design in the U.S. G a robust wholesale market via the so-called standard design (SMD) proposed rule making. The SMD was a bold

337

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

E-Print Network (OSTI)

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

California at Berkeley. University of

338

October 1996 - September 2001 Wholesale Power Rates (rates/previous...  

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

affecting a specific power purchase. For more specific information see: 1996 Final Wholesale Power and Transmission Rate Schedules: Power Rates (PDF, 84 pages, 188 kb) Ancillary...

339

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

340

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

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

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

342

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

E-Print Network (OSTI)

wear and tear on gas-fired power plants from the increasedon natural gas and wholesale power prices has also made itcheap natural gas and wind power in the years ahead (Lee et

Bolinger, Mark

2014-01-01T23:59:59.000Z

343

Texas Wholesale Market for Christmas Trees.  

E-Print Network (OSTI)

of trade. Most of the wholesale buyers indicated that representatives of tree growers or distributors car- ried out very aggressive sales programs. Sales peo- ple would contact buyers shortly-after the ~o1jdi-i~ Season to take orders for the following... Jobbers Purveyors l4 their business had remained the same. In the case of 190 00 0 13 Others 191 70 o 2 6 the service clubs, for the previous 3 years, the four National areas reported that over one-half had increased, over 30 chains 5461 70 o 619...

Sorensen, H. B. (Harold B.); Smith, W. A.

1964-01-01T23:59:59.000Z

344

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

Science Journals Connector (OSTI)

Abstract With the growing share of wind production, understanding its impacts on electricity price and greenhouse gas (GHG) emissions becomes increasingly relevant, especially to design better wind-supporting policies. Internal grid congestion is usually not taken into account when assessing the price impact of fluctuating wind output. Using 2006–2011 hourly data from Ontario (Canada), we establish that the impact of wind output, both on price level and marginal GHG emissions, greatly differs depending on the congestion level. Indeed, from an average of 3.3% price reduction when wind production doubles, the reduction jumps to 5.5% during uncongested hours, but is only 0.8% when congestion prevails. Similarly, avoided GHG emissions due to wind are estimated to 331.93 kilograms per megawatt-hour (kg/MWh) using all data, while for uncongested and congested hours, estimates are respectively 283.49 and 393.68 kg/MWh. These empirical estimates, being based on 2006–2011 Ontario data, cannot be generalized to other contexts. The main contribution of this paper is to underscore the importance of congestion in assessing the price and GHG impacts of wind. We also contribute by developing an approach to create clusters of data according to the congestion status and location. Finally, we compare different approaches to estimate avoided GHG emissions.

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

2014-01-01T23:59:59.000Z

345

1996 Wholesale Power and Transmission Rate Schedules.  

SciTech Connect

Bonneville Power Administration`s (BPA) 1996 Wholesale Power Rate Schedules, 1996 Ancillary Products and Services Rate Schedule, 1996 Transmission Rate Schedules, and General Rate Schedule Provisions, contained herein, were approved on an interim basis effective October 1, 1996. These rate schedules and provisions were approved by the Federal Energy Regulatory Commission (FERC), United States Department of Energy, in September 1996 (Docket Nos EF96-2011-000 and EF96f-2021-000). These rate schedules and General Rate Schedule Provisions were approved on a final basis by the FERC July 30, 1997, in Dept. of Energy--Bonneville Power Administration, Docket Nos. EF96-2011-000 and EF96-2021-000. Except as noted elsewhere, these 1996 rate schedules and provisions supersede BPA`s Wholesale Power Rate Schedules and General Rate Schedule Provisions, and Transmission Rate Schedules and General Transmission Rate Schedule Provisions, effective October 1, 1995. These rate schedules and general rate schedule provisions include all errata.

United States. Bonneville Power Administration.

1996-10-01T23:59:59.000Z

346

2007 Wholesale Power Rate Case Initial Proposal : Risk Analysis Study.  

SciTech Connect

The Federal Columbia River Power System (FCRPS), operated on behalf of the ratepayers of the PNW by BPA and other Federal agencies, faces many uncertainties during the FY 2007-2009 rate period. Among these uncertainties, the largest revolve around hydro conditions, market prices and river operations for fish recovery. In order to provide a high probability of making its U.S. Treasury payments, BPA performs a Risk Analysis as part of its rate-making process. In this Risk Analysis, BPA identifies key risks, models their relationships, and then analyzes their impacts on net revenues (total revenues less expenses). BPA subsequently evaluates in the ToolKit Model the Treasury Payment Probability (TPP) resulting from the rates, risks, and risk mitigation measures described here and in the Wholesale Power Rate Development Study (WPRDS). If the TPP falls short of BPA's standard, additional risk mitigation revenues, such as PNRR and CRAC revenues are incorporated in the modeling in ToolKit until the TPP standard is met. Increased wholesale market price volatility and six years of drought have significantly changed the profile of risk and uncertainty facing BPA and its stakeholders. These present new challenges for BPA in its effort to keep its power rates as low as possible while fully meeting its obligations to the U.S. Treasury. As a result, the risk BPA faces in not receiving the level of secondary revenues that have been credited to power rates before receiving those funds is greater. In addition to market price volatility, BPA also faces uncertainty around the financial impacts of operations for fish programs in FY 2006 and in the FY 2007-2009 rate period. A new Biological Opinion or possible court-ordered change to river operations in FY 2006 through FY 2009 may reduce BPA's net revenues included Initial Proposal. Finally, the FY 2007-2009 risk analysis includes new operational risks as well as a more comprehensive analysis of non-operating risks. Both the operational and non-operational risks will be described in Section 2.0 of this study. Given these risks, if rates are designed using BPA's traditional approach of only adding Planned Net Revenues for Risk (PNRR), power rates would need to recover a much larger ''risk premium'' to meet BPA's TPP standard. As an alternative to high fixed risk premiums, BPA is proposing a risk mitigation package that combines PNRR with a variable rate mechanism similar to the cost recovery adjustment mechanisms used in the FY 2002-2006 rate period. The proposed risk mitigation package is less expensive on a forecasted basis because the rates can be adjusted on an annual basis to respond to uncertain financial outcomes. BPA is also proposing a Dividend Distribution Clause (DDC) to refund reserves in excess of $800M to customers in the event net revenues in the next rate period exceed current financial forecasts.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

347

Replacement-1 Wholesale Power Rate Schedule | Department of Energy  

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

Replacement-1 Wholesale Power Rate Schedule Replacement-1 Wholesale Power Rate Schedule Replacement-1 Wholesale Power Rate Schedule Area: Replacement Energy System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, Florida, South Carolina, or North Carolina to whom power is provided pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale energy purchased to meet contract minimum energy and sold under appropriate contracts between the Government and the Customer. Document Available for Download Replacement-1 Rate Schedule More Documents & Publications Replacement-3 Wholesale Power Rate Schedule

348

Fairness and dynamic pricing: comments  

SciTech Connect

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

Hogan, William W.

2010-07-15T23:59:59.000Z

349

Efficiency Impact of Convergence Bidding on the California Electricity Market  

E-Print Network (OSTI)

or producing energy. In this paper, we analyze market data in the CAISO electric power markets, and empirically- erator (ISO) was formed to administer regional wholesale electricity markets, and ensure reliability for grid operations. Several regional wholesale electricity markets were established under the management

Oren, Shmuel S.

350

WORKING PAPER N 2013 27 Evaluating the law of one price using micro panel data  

E-Print Network (OSTI)

François-Charles Wolff Patrice Guillotreau JEL Codes: L11, Q22, R32 Keywords: Fish, Commodity price, Local This paper investigates spatial variations in product prices using an exhaustive micro dataset on fish transactions. The data record all transactions between vessels and wholesalers that occur on local fish markets

Boyer, Edmond

351

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

352

Reliability and competitive electricity markets  

E-Print Network (OSTI)

Despite all of the talk about ?deregulation? of the electricity sector, a large number of non-market mechanisms have been imposed on emerging competitive wholesale and retail markets. These mechanisms include spot market ...

Joskow, Paul L.

2004-01-01T23:59:59.000Z

353

SOCO-1-E Wholesale Power Rate Schedule | Department of Energy  

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

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule Area: AMEA, Unaffil AL Munis and Coops, Hampton, East Miss., SMEPA off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted and scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F.

354

Duke-1-E Wholesale Power Rate Schedule | Department of Energy  

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

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule Duke-1-E Wholesale Power Rate Schedule Area: Duke On-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted and scheduled pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

355

ALA-1-N Wholesale Power Rate Schedule | Department of Energy  

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

ALA-1-N Wholesale Power Rate Schedule ALA-1-N Wholesale Power Rate Schedule ALA-1-N Wholesale Power Rate Schedule Area: PowerSouth Energy Cooperative System: Georgia-Alabama-South Carolina This rate schedule shall be available to the PowerSouth Energy Cooperative. This rate schedule shall be applicable to power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters, and Richard B. Russell Projects and sold under contract between the Cooperative and the Government. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B. Russell Projects. Document Available for Download ALA-1-N Rate Schedule More Documents & Publications MISS-1-N Wholesale Power Rate Schedule

356

SOCO-2-E Wholesale Power Rate Schedule | Department of Energy  

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

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule SOCO-2-E Wholesale Power Rate Schedule Area: PowerSouth Off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate

357

SOCO-4-E Wholesale Power Rate Schedule | Department of Energy  

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

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule SOCO-4-E Wholesale Power Rate Schedule Area: OPC System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida served through the transmission facilities of Southern Company Services, Inc. (hereinafter called the Company) or the Georgia Integrated Transmission System. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects (hereinafter referred to collectively as the Projects) and sold under appropriate contracts between

358

SOCO-3-E Wholesale Power Rate Schedule | Department of Energy  

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

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule SOCO-3-E Wholesale Power Rate Schedule Area: MEAG, Dalton System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects (hereinafter referred to collectively as the Projects) and sold under appropriate contracts between

359

Replacement-2-A Wholesale Power Rate Schedule | Department of Energy  

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

2-A Wholesale Power Rate Schedule 2-A Wholesale Power Rate Schedule Replacement-2-A Wholesale Power Rate Schedule Area: Replacement Energy System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and Virginia to whom power is provided pursuant to contracts between the Government and the customer from the John H. Kerr and Philpott Projects (or Kerr-Philpott System). This rate schedule shall be applicable to the sale of wholesale energy purchased to meet contract minimum energy and sold under appropriate contracts between the Government and the Customer. Document Available for Download Replacement-2-A Rate Schedule More Documents & Publications Southeastern Power Administration 2010 Annual Report

360

Santee-3-E Wholesale Power Rate Schedule | Department of Energy  

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

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule Santee-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be scheduled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

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

Santee-1-E Wholesale Power Rate Schedule | Department of Energy  

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

1-E Wholesale Power Rate Schedule 1-E Wholesale Power Rate Schedule Santee-1-E Wholesale Power Rate Schedule Area: Central, Bamberg, and Georgetown System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be wheeled and scheduled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

362

Santee-4-E Wholesale Power Rate Schedule | Department of Energy  

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

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule Santee-4-E Wholesale Power Rate Schedule Area: Santee-Cooper System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina served through the transmission facilities of South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does not apply to energy from pumping operations at the Carters and Richard B.

363

Duke-3-E Wholesale Power Rate Schedule | Department of Energy  

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

3-E Wholesale Power Rate Schedule 3-E Wholesale Power Rate Schedule Duke-3-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be scheduled pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer.

364

Pump-2 Wholesale Power Rate Schedule | Department of Energy  

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

2 Wholesale Power Rate Schedule 2 Wholesale Power Rate Schedule Pump-2 Wholesale Power Rate Schedule Area: Carters & Russell Pumping-Self Schedulers System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives who provide their own scheduling arrangement and elect to allow Southeastern to use a portion of their allocation for pumping (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, Florida, South Carolina, or North Carolina to whom power is provided pursuant to contracts between the Government and the Customer. This rate schedule shall be applicable to the sale at wholesale energy generated from pumping operations at the Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and

365

October 2001 - September 2006 Wholesale Power Rates (rates/previous...  

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

October 2001 - September 2006 The 2002 Wholesale Power Rate Schedules (base rates) for the FY 2002-2006 rate period were originally established in May 2000 during the WP-02 Rate...

366

Duke-4-E Wholesale Power Rate Schedule | Department of Energy  

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

4-E Wholesale Power Rate Schedule 4-E Wholesale Power Rate Schedule Duke-4-E Wholesale Power Rate Schedule Area: Duke Self-Schedulers System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina served through the transmission facilities of Duke Energy Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

367

Duke-2-E Wholesale Power Rate Schedule | Department of Energy  

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

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule Duke-2-E Wholesale Power Rate Schedule Area: Central System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted pursuant to contracts between the Government and Duke Energy Company (hereinafter called the Company) and the Customer. The Customer is responsible for providing a scheduling arrangement with the Government. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate

368

Santee-2-E Wholesale Power Rate Schedule | Department of Energy  

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

2-E Wholesale Power Rate Schedule 2-E Wholesale Power Rate Schedule Santee-2-E Wholesale Power Rate Schedule Area: None System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter call the Customer) in South Carolina to whom power may be wheeled pursuant to contracts between the Government and South Carolina Public Service Authority (hereinafter called the Authority). This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F. Henry, Carters and Richard B. Russell Projects and sold under appropriate contracts between the Government and the Customer. This rate schedule does

369

SOCO-1-E Wholesale Power Rate Schedule | Department of Energy  

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

SOCO-1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule SOCO-1-E Wholesale Power Rate Schedule Area: AMEA, Unaffil AL Munis and Coops, Hampton, East Miss., SMEPA off-System System: Georgia-Alabama-South Carolina This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in Georgia, Alabama, Mississippi, and Florida to whom power may be transmitted and scheduled pursuant to contracts between the Government and Southern Company Services, Incorporated (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the Allatoona, Buford, J. Strom Thurmond, Walter F. George, Hartwell, Millers Ferry, West Point, Robert F.

370

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

371

Trends in demand for retail and wholesale cuts of meat  

E-Print Network (OSTI)

TRENDS IN DEMAND FOR RETAIL AND WHOLESALE CUTS OF MEAT A Thesis by DAVID WAYNE HOLLOWAY Submitted to the Office of Graduate Studies of Texas ARM University in partial fulfillment of the requirements for the degree of MASTER OF SCIENCE... December 1990 Major Subject: Agricultural Economics TRENDS IN DEMAND FOR RETAIL AND WHOLESALE CUTS OF MEAT A Thesis by DAVID WAYNE HOLLOWAY Approved as to style and content by: Donald E. Farris (Chair of Committee) Carl E. Shafer (Member) Rudo J...

Holloway, David Wayne

2012-06-07T23:59:59.000Z

372

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

373

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

374

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

375

Diesel Fuel Price Pass-through  

Gasoline and Diesel Fuel Update (EIA)

Diesel Fuel Price Pass-through Diesel Fuel Price Pass-through EIA Home > Petroleum > Petroleum Feature Articles Diesel Fuel Price Pass-through Printer-Friendly PDF Diesel Fuel Price Pass-through by Michael Burdette and John Zyren* Over the past several years, the Energy Information Administration (EIA) has extensively studied the relationships between wholesale and retail markets for petroleum products. Beginning with gasoline, we looked at the two ends of the pricing structure in the U.S. market: daily spot prices, which capture sales of large quantities of product between refiners, importers/exporters, and traders; and weekly retail prices, measured at local gasoline outlets nationwide. In the course of this analysis, EIA has found that the relationships between spot and retail prices are consistent and predictable, to the extent that changes in spot prices can be used to forecast subsequent changes in retail prices for the appropriate regions. This article represents the extension of this type of analysis and modeling into the diesel fuel markets.

376

2007 Wholesale Power Rate Case Final Proposal : Load Resource Study and Documentation.  

SciTech Connect

The Load Resource Study (Study) represents the compilation of the load and contract obligations, contact purchases, and resource data necessary for developing BPA's wholesale power rates. The results of this Study are used to: (1) provide data to determine resource costs for the Revenue Requirement Study, WP-07-FS-BPA-02; (2) provide data to derive billing determinants for the revenue forecast in the Wholesale Power Rate Development Study (WPRDS), WP-07-FS-BPA-05; (3) provide load and resource data for use in the Risk Analysis Study, WP-07-FS-BPA-04; and (4) provide regional hydro data for use in the secondary revenue forecast for the Market Price Forecast Study, WP-07-FS-BPA-03. This Study provides a synopsis of BPA's load resource analyses. This Study illustrates how each component is completed, how components relate to each other, and how each component fits into the rate development process. Details and results supporting this Study are contained in the Load Resource Study Documentation, WP-07-FS-BPA-01A.

United States. Bonneville Power Administration.

2006-07-01T23:59:59.000Z

377

Distributed Energy Consumption Control via Real-Time Pricing Feedback in Smart Grid  

E-Print Network (OSTI)

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

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

2014-01-01T23:59:59.000Z

378

Market Evolution: Wholesale Electricity Market Design for 21st...  

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

advances in smart grids, communications, and technologies that enable dispatchable demand response and distributed generation to extend to the mass market. A key challenge of...

379

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

SciTech Connect

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

Goldman, Charles A.

2002-03-01T23:59:59.000Z

380

Pricing statistics sourcebook. 5. edition  

SciTech Connect

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

NONE

1999-11-01T23:59:59.000Z

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

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

SciTech Connect

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

Kury, Theodore J.; Harrington, Julie

2010-05-15T23:59:59.000Z

382

Testing for price response asymmetries in the Spanish fuel market. New evidence from daily data  

Science Journals Connector (OSTI)

In this work we use daily data to examine pattern asymmetries in the speed of transmission of international wholesale oil prices to Spanish retail fuel prices. Results are robust to two alternative specifications of an asymmetric error correction model, for which the presence of autoregressive conditional heteroskedasticity for disturbances is modeled by a GARCH(1,1) process. Evidence indicates that the short-term transmission of wholesale prices to retail prices is quite symmetric for both gasoline and diesel fuel. Nevertheless, in contrast to some of the results provided for an earlier period, we did not find asymmetries in the speed of retail price responses toward long-run equilibrium. Our evidence also suggests that the use of weekly (or lower frequency) data is one of the possible explanations for some of the seemingly contradictory results concerning this issue.

Jacint Balaguer; Jordi Ripollés

2012-01-01T23:59:59.000Z

383

Spot pricing of public utility services  

E-Print Network (OSTI)

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

Bohn, Roger E.

1982-01-01T23:59:59.000Z

384

The Value of Distributed Generation and CHP Resources in Wholesale Power Markets, September 2005  

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

Report evaluating DG/CHP as wholesale power resources, installed on the utility side of the customer meter

385

Regular price  

E-Print Network (OSTI)

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

386

Cheese Prices  

E-Print Network (OSTI)

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

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

2003-08-25T23:59:59.000Z

387

Optimal Time-of-Use Pricing For Residential Load Control  

E-Print Network (OSTI)

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

Kumar, Sunil

388

Price Server System for Automated Critical Peak Pricing  

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

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

389

The Market Value and Cost of Solar Photovoltaic Electricity Production  

E-Print Network (OSTI)

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

Borenstein, Severin

2008-01-01T23:59:59.000Z

390

Fiber to the Premise (FTTP) Industry Structure: Implications of a Wholesale-Retail Split  

E-Print Network (OSTI)

Fiber to the Premise (FTTP) Industry Structure: Implications of a Wholesale-Retail Split Anupam facilities to competing service providers (retailers), who then provide voice, video and data service over the shared network (wholesale-retail split). The network owner can either wholesale dark fiber or "lit

Sirbu, Marvin

391

Energy & Environmental Benefits from Steam & Electricity Cogeneration  

E-Print Network (OSTI)

the electricity required by TEX and sells excess power to wholesale customers in the region. It provides a large portion of TEX steam requirements, with sufficient reliability such that TEX decommissioned its coal-fired powerhouse and reduced operations...

Ratheal, R.

2004-01-01T23:59:59.000Z

392

Class Pricing  

E-Print Network (OSTI)

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

Wernerfelt, Birger

2008-01-15T23:59:59.000Z

393

EIS-0102: Bonneville Power Administration's 1983 Wholesale Power Rate  

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

The U.S. Department of Energy's Bonneville Power Administration prepared this EIS to evaluate the potential environmental impacts associated with an increase in wholesale power rates that would become effective on November 1, 1983, including the effects of rate hikes in that year and the cumulative effects of previous rate hikes.

394

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

395

Estimating the Value of Electricity Storage Resources in Electricity  

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

Estimating the Value of Electricity Storage Resources in Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 Estimating the Value of Electricity Storage Resources in Electricity Markets - EAC 2011 The purpose of this report is to assist the U.S. Department of Energy (DOE) in 1) establishing a framework for understanding the role electricity storage resources (storage) can play in wholesale and retail electricity markets, 2) assessing the value of electricity storage in a variety of regions or markets, 3) analyzing current and potential issues that can affect the valuation of storage by investors at the wholesale and retail level, and 4) identifying areas for future research and development for electricity storage technologies and applications. EAC - Estimating the Value of Electricity Storage Resources in Electricity

396

The Role of Demand Response in Default Service Pricing  

SciTech Connect

Dynamic retail electricity pricing, especially real-time pricing (RTP), has been widely heralded as a panacea for providing much-needed demand response in electricity markets. However, in designing default service for competitive retail markets, demand response often appears to be an afterthought. But that may be changing as states that initiated customer choice in the past 5-7 years reach an important juncture in retail market design. Most states with retail choice established an initial transitional period, during which utilities were required to offer a default or ''standard offer'' generation service, often at a capped or otherwise administratively-determined rate. Many retail choice states have reached, or are nearing, the end of their transitional period and several states have adopted an RTP-type default service for large commercial and industrial (C&I) customers. Are these initiatives motivated by the desire to induce greater demand response, or is RTP being called upon to serve a different role in competitive markets? Surprisingly, we found that in most cases, the primary reason for adopting RTP as the default service was not to encourage demand response, but rather to advance policy objectives related to the development of competitive retail markets. However, we also find that, if efforts are made in its design and implementation, default RTP service can also provide a solid foundation for developing price responsive demand, creating an important link between wholesale and retail market transactions. This paper, which draws from a lengthier report, describes the experience to date with default RTP in the U.S., identifying findings related to its actual and potential role as an instrument for cultivating price responsive demand [1]. For each of the five states currently with default RTP, we conducted a detailed review of the regulatory proceedings leading to its adoption. To further understand the intentions and expectations of those involved in its design and implementation, we also interviewed regulatory staff and utilities in each state, as well as eight of the most prominent competitive retail suppliers operating in these markets which, together, comprised about 60-65% of competitive C&I sales in the U.S. in 2004 [2].

Barbose, Galen; Goldman, Chuck; Neenan, Bernie

2006-03-10T23:59:59.000Z

397

Lynn Price  

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

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

398

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

399

A stochastic optimization model for gas retail with temperature scenarios and oil price parameters  

Science Journals Connector (OSTI)

......dealing with gas retail commercialization. We consider temperature...by a mean reverting process. Oil prices and exchange...indices; mean reverting process; stochastic programming...undergoing a liberalization process aiming at promoting...storage and wholesale commercialization, and local monopolistic......

F. Maggioni; M. Bertocchi; R. Giacometti; M. T. Vespucci; M. Innorta; E. Allevi

2010-04-01T23:59:59.000Z

400

Average Residential Price  

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

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

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

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

E-Print Network (OSTI)

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

Bhowmick, Sandeep

2010-01-01T23:59:59.000Z

402

Electricity Monthly Update  

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

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

403

Electricity Monthly Update  

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

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

404

Rhode Island Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

405

South Carolina Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

406

North Carolina Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

407

Innovative Utility Pricing for Industry  

E-Print Network (OSTI)

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

Ross, J. A.

408

Optimal Supply Functions in Electricity Markets with Option Contracts and Non-smooth Costs  

Science Journals Connector (OSTI)

In this paper we investigate the optimal supply function for a generator who sells electricity into a wholesale electricity spot market and whose profit function is ... generator owns several generation units wit...

Edward J. Anderson; Huifu Xu

2006-07-01T23:59:59.000Z

409

GRR/Section 7-FD-d - Exempt Wholesale Generator Status Process | Open  

Open Energy Info (EERE)

GRR/Section 7-FD-d - Exempt Wholesale Generator Status Process GRR/Section 7-FD-d - Exempt Wholesale Generator Status Process < GRR Jump to: navigation, search GRR-logo.png GEOTHERMAL REGULATORY ROADMAP Roadmap Home Roadmap Help List of Sections Section 7-FD-d - Exempt Wholesale Generator Status Process 07FDDExemptWholesaleGeneratorStatusProcess.pdf Click to View Fullscreen Contact Agencies Federal Energy Regulatory Commission Regulations & Policies 18 CFR 366.7 Triggers None specified Click "Edit With Form" above to add content 07FDDExemptWholesaleGeneratorStatusProcess.pdf Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Error creating thumbnail: Page number not in range. Flowchart Narrative Independent power producers that exclusively sell energy to wholesale

410

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

E-Print Network (OSTI)

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

Delucchi, Mark

2005-01-01T23:59:59.000Z

411

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

E-Print Network (OSTI)

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

Delucchi, Mark

2005-01-01T23:59:59.000Z

412

Market power and electricity market reform in Northeast China  

E-Print Network (OSTI)

The Northeast region of China has been used as a testing ground for creation of a functioning wholesale electric power market. We describe the ownership structure of the generation assets for those plants participating in ...

Zhang, Xiaochun

2008-01-01T23:59:59.000Z

413

Competitive electricity markets and investment in new generating capacity  

E-Print Network (OSTI)

Evidence from the U.S. and some other countries indicates that organized wholesale markets for electrical energy and operating reserves do not provide adequate incentives to stimulate the proper quantity or mix of generating ...

Joskow, Paul L.

2006-01-01T23:59:59.000Z

414

Abstract--Although Locational Marginal Pricing (LMP) plays an important role in many restructured wholesale power  

E-Print Network (OSTI)

] the U.S. Federal Energy Regulatory Commission (FERC) proposed a market design for common adoption by U are with the Division of Market & Infrastructure Development, California ISO, Folsom, CA 95630 USA (e-mail: hliu University, Ames, IA 50011 USA (e-mail: tesfatsi@iastate.edu). to be raised about market performance. One key

Tesfatsion, Leigh

415

Price discovery in the wholesale markets for maize and beans in Uganda  

E-Print Network (OSTI)

(FEWS, 2002a, 2003a,c; Reliefweb/USAID, 2004, http://www.reliefweb.int). For over a decade, the northern region has experienced violence and war between the government and LRA rebels. The war has extended to some parts of eastern Uganda as well... (FEWS, 2002a, 2003a,c; Reliefweb/USAID, 2004, http://www.reliefweb.int). For over a decade, the northern region has experienced violence and war between the government and LRA rebels. The war has extended to some parts of eastern Uganda as well...

Kuteesa, Annette

2006-08-16T23:59:59.000Z

416

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

E-Print Network (OSTI)

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

417

Gasoline Prices Also Influenced by Regional Gasoline Product Markets  

Gasoline and Diesel Fuel Update (EIA)

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

418

Demand, Supply, and Price Outlook for Reformulated Motor Gasoline 1995  

Gasoline and Diesel Fuel Update (EIA)

Demand, Supply, and Price Outlook for Reformulated Demand, Supply, and Price Outlook for Reformulated Motor Gasoline 1995 by Tancred Lidderdale* Provisions of the Clean Air Act Amendments of 1990 designed to reduce ground-level ozone will increase the demand for reformulated motor gaso- line in a number of U.S. metropolitan areas. Refor- mulated motor gasoline is expected to constitute about one-third of total motor gasoline demand in 1995, and refiners will have to change plant opera- tions and modify equipment in order to meet the higher demand. The costs incurred are expected to create a wholesale price premium for reformu- lated motor gasoline of up to 4.0 cents per gallon over the price of conventional motor gasoline. This article discusses the effects of the new regulations on the motor gasoline market and the refining

419

Pricing and rebate policies in the two-echelon supply chain with asymmetric information under price-dependent, stochastic demand  

Science Journals Connector (OSTI)

This paper analyzes the manufacturers’ strategy of optimizing the direct rebate to the final customer and the wholesale price to a profit-maximizing retailer with a price-dependent stochastic demand. The manufacturer possesses full information about the cost and the functional relationship among demand, price and rebate, but may or may not know about the nature of the underlying demand uncertainty faced by the retailer. The conditions under which a retailer benefits from passing on such information are identified. The main features of the model are illustrated analytically and numerically, using linear or iso-elastic demand functions, with additive or multiplicative error structures. Several important implications have been derived, especially those dealing with price and rebate pass-throughs and with the cost to the manufacturer of asymmetric information.

F.J. Arcelus; Satyendra Kumar; G. Srinivasan

2008-01-01T23:59:59.000Z

420

Definition: Dynamic Pricing Program | Open Energy Information  

Open Energy Info (EERE)

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

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

April 24, 2001 To all retail Providers/Wholesalers/Power Pools  

E-Print Network (OSTI)

April 24, 2001 To all retail Providers/Wholesalers/Power Pools: This letter is to alert you a tradable certificates program for use by generators, pools/wholesalers and retail providers for supporting claims of specific purchases and modify the requirements for the annual retail provider report

422

The AMES Wholesale Power Market Test Bed: A Computational Laboratory for  

E-Print Network (OSTI)

, and Training Hongyan Li, Student Member, IEEE, and Leigh Tesfatsion, Member, IEEE Abstract--Wholesale power for the systematic study of restructured wholesale power markets operating over AC transmission grids subject: central administration by an independent market operator; a two-settlement system consisting of a bid

Tesfatsion, Leigh

423

2007 Wholesale Power Rate Case Initial Proposal : Direct Testimony.  

SciTech Connect

The purpose of our testimony is to sponsor the rate design portions of Bonneville Power Administration's (BPA) Wholesale Power Rate Development Study (WPRDS), WP-07-E-BPA-05, and associated portions of the Wholesale Power Rate Schedules and GRSPs (WP-07-E-BPA-07). Our testimony is organized in eight sections. The first section outlines the purpose of our testimony. Section 2 describes BPA's Demand Rates, including subsections on the definition of the Demand Rate, the method for computing the Demand Rates, and differences from the currently effective WP-02 Demand Rate. Section 3 describes BPA's Load Variance Rate, with subsections on the definition and purpose of the Load Variance Rate, application of the Load Variance Rate, how the Load Variance Rate is calculated, and the differences from the WP-02 Load Variance Rate. Section 4 describes the steps involved in developing BPA's energy rates and differences from the WP-02 rate case. Section 5 discusses discontinuation of the Stepped Up Multi-Year Block Rate. Section 6 describes a minor change to the Unauthorized Increase Rates and the Excess Factoring Rates. Section 7 describes the Targeted Adjustment Charge. Section 8 addresses the Operating Reserves Credit.

United States. Bonneville Power Administration.

2005-11-01T23:59:59.000Z

424

Natural Gas Electric Power Price  

Gasoline and Diesel Fuel Update (EIA)

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

425

Natural Gas Electric Power Price  

Gasoline and Diesel Fuel Update (EIA)

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

426

Natural Gas Electric Power Price  

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

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

427

Electricity Prices for Households - EIA  

Gasoline and Diesel Fuel Update (EIA)

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

428

Electricity Prices for Industry - EIA  

Gasoline and Diesel Fuel Update (EIA)

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

429

Natural Gas Electric Power Price  

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

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

430

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

Science Journals Connector (OSTI)

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

Mohamed Ben Abdelhamid; Chaker Aloui; Corinne Chaton…

2010-04-01T23:59:59.000Z

431

Electricity Monthly Update  

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

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

432

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

E-Print Network (OSTI)

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

Hand, Maureen

2008-01-01T23:59:59.000Z

433

Prices & Trends  

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

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

434

How regulators should use natural gas price forecasts  

SciTech Connect

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

Costello, Ken

2010-08-15T23:59:59.000Z

435

Understanding Crude Oil Prices  

E-Print Network (OSTI)

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

436

Understanding Crude Oil Prices  

E-Print Network (OSTI)

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

437

Record of Decision for the Electrical Interconnection of TransAlta Centralia Generation LLC Big Hanaford Project (DOE/EIS-0183)(10/19/01)  

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

for the for the Electrical Interconnection of TransAlta Centralia Generation LLC Big Hanaford Project INTRODUCTION The Bonneville Power Administration (BPA) has decided to offer contract terms for integrating power from the TransAlta Centralia Generation LLC Big Hanaford Project, a 248-megawatt (MW) gas-fired, combined-cycle combustion turbine (CCCT) power generation project (Project), into the Federal Columbia River Transmission System (FCRTS). The Project is located within an industrial area adjacent to TransAlta's existing Centralia Steam Plant in Lewis County, Washington. The West Coast is experiencing a shortfall in electric energy supply, as well as a volatile wholesale power market in which prices have reached record highs. The Project is one of

438

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

Science Journals Connector (OSTI)

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

Haitham Hindi; Daniel Greene…

2012-01-01T23:59:59.000Z

439

Percentage of Total Natural Gas Commercial Deliveries included in Prices  

Gasoline and Diesel Fuel Update (EIA)

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

440

Percentage of Total Natural Gas Industrial Deliveries included in Prices  

Gasoline and Diesel Fuel Update (EIA)

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

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

State energy price and expenditure report 1993  

SciTech Connect

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

NONE

1995-12-01T23:59:59.000Z

442

Green Power Network: Green Pricing  

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

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

443

Breakeven Prices for Photovoltaics on Supermarkets in the United States  

SciTech Connect

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

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

2013-03-01T23:59:59.000Z

444

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

E-Print Network (OSTI)

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

Sadoulet, Elisabeth

445

Emission regulations in the electricity market : an analysis from consumers, producers and central planner perspectives  

E-Print Network (OSTI)

In the first part of this thesis, the objective is to identify optimal bidding strategies in the wholesale electricity market. We consider asymmetric producers submitting bids to a system operator. The system operator ...

Figueroa Rodriguez, Cristian Ricardo

2013-01-01T23:59:59.000Z

446

The difficult transition to competitive electricity markets in the U.S.  

E-Print Network (OSTI)

This paper provides a comprehensive discussion of the causes and consequences of state and federal initiatives to introduce wholesale and retail competition into the U.S. electricity sector between 1995 and the present. ...

Joskow, Paul L.

2003-01-01T23:59:59.000Z

447

Table E6. Transportation Sector Energy Price Estimates, 2012  

Annual Energy Outlook 2012 (EIA)

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

448

The Role of Demand Response in Default Service Pricing  

E-Print Network (OSTI)

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

Barbose, Galen; Goldman, Charles; Neenan, Bernie

2008-01-01T23:59:59.000Z

449

CP&L-2-B Wholesale Power Rate Schedule | Department of Energy  

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

2-B Wholesale Power Rate Schedule 2-B Wholesale Power Rate Schedule CP&L-2-B Wholesale Power Rate Schedule Area: Carolina Power & Light, Eastern Division System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted pursuant to contracts between the Government and Carolina Power & Light Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download CP&L-2-B Rate Schedule

450

CP&L-1-B Wholesale Power Rate Schedule | Department of Energy  

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

1-B Wholesale Power Rate Schedule 1-B Wholesale Power Rate Schedule CP&L-1-B Wholesale Power Rate Schedule Area: Carolina Power & Light, Eastern Division System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be transmitted and scheduled pursuant to contracts between the Government and Carolina Power & Light Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects and sold under appropriate contracts between the Government and the Customer. Document Available for Download CP&L-1-B Rate Schedule

451

File:07FDDExemptWholesaleGeneratorStatusProcess.pdf | Open Energy  

Open Energy Info (EERE)

FDDExemptWholesaleGeneratorStatusProcess.pdf FDDExemptWholesaleGeneratorStatusProcess.pdf Jump to: navigation, search File File history File usage Metadata File:07FDDExemptWholesaleGeneratorStatusProcess.pdf Size of this preview: 463 × 599 pixels. Other resolution: 464 × 600 pixels. Full resolution ‎(1,275 × 1,650 pixels, file size: 34 KB, MIME type: application/pdf) File history Click on a date/time to view the file as it appeared at that time. Date/Time Thumbnail Dimensions User Comment current 10:35, 24 January 2013 Thumbnail for version as of 10:35, 24 January 2013 1,275 × 1,650 (34 KB) Alevine (Talk | contribs) You cannot overwrite this file. Edit this file using an external application (See the setup instructions for more information) File usage The following 2 pages link to this file: GRR/Section 7-FD-d - Exempt Wholesale Generator Status Process

452

CP&L-3-B Wholesale Power Rate Schedule | Department of Energy  

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

3-B Wholesale Power Rate Schedule 3-B Wholesale Power Rate Schedule CP&L-3-B Wholesale Power Rate Schedule Area: Carolina Power & Light, Eastern Division System: Kerr-Philpott This rate schedule shall be available to public bodies and cooperatives (any one of whom is hereinafter called the Customer) in North Carolina and South Carolina to whom power may be scheduled pursuant to contracts between the Government and Carolina Power & Light Company (hereinafter called the Company) and the Customer. This rate schedule shall be applicable to the sale at wholesale of power and accompanying energy generated at the John H. Kerr and Philpott Projects (hereinafter called the Projects) and sold under appropriate contracts between the Government and the Customer. Document Available for Download

453

United States of America Electric Energy Market Competition Task Force  

E-Print Network (OSTI)

of competition within the wholesale and retail market for electric energy in the United States and to submiti United States of America Electric Energy Market Competition Task Force and the Federal Energy and Retail Markets for Electric Energy Docket No. AD05

Tesfatsion, Leigh

454

ELECTRIC  

Office of Legacy Management (LM)

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

455

PRICE GOUGING | Department of Energy  

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

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

456

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

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

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

457

State Energy Price System: 1982 update  

SciTech Connect

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

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

1984-10-01T23:59:59.000Z

458

Reactive Power Support Services in Electricity Markets  

E-Print Network (OSTI)

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

459

Understanding Crude Oil Prices  

E-Print Network (OSTI)

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

Hamilton, James Douglas

2008-01-01T23:59:59.000Z

460

Steadying of oil prices  

Science Journals Connector (OSTI)

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

Klaus Matthies

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

Diesel prices flat  

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

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

462

Diesel prices decrease  

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

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

463

Diesel prices increase  

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

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

464

Diesel prices decrease  

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

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

465

Diesel prices decrease  

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

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

466

Diesel prices decrease  

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

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

467

Diesel prices decrease  

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

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

468

Insights into Spring 2008 Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

Insights into Spring 2008 Gasoline Prices Insights into Spring 2008 Gasoline Prices Insights into Spring 2008 Gasoline Prices EIA released a new analytical report entitled Motor Gasoline Market Spring 2007 and Implications for Spring 2008. It includes a discussion of scheduled refinery outages in 2008 prepared in accordance with Section 804 of the Energy Independence and Security Act (EISA) of 2007, which requires EIA to review and analyze information on such outages from commercial reporting services and assess to their expected effects on the price and supply of gasoline. Changes in wholesale gasoline prices relative to crude oil are determined by the tightness between gasoline supply (production and net imports) and demand. Expectations for U.S. gasoline supply relative to demand are for a more favorable situation in January through May 2008 than was the case in the comparable 2007 period. Demand growth, which varies seasonally and depends on economic factors, is expected to slow. New gasoline supply is affected by refinery outages, refinery run decisions, and import variations. Planned refinery outages for January through May 2008 are lower than for the same period in 2007. Given lower planned outages and assuming the return of unplanned outages to more typical levels, including the return of BP's Texas City refinery to full operation, gasoline production could increase between 100 and 200 thousand barrels per day over last year's level, depending on the market incentives. In addition, ethanol use, which adds to gasoline supply, is expected to continue to increase. Considering the uncertainty in all the gasoline supply components, there is little likelihood of events combining in 2008 to lead to the kind of tight supply downstream from crude oil markets seen in spring 2007. In summary, refinery outage and import impacts should contribute less to gasoline price increases in 2008 than in 2007. If all of the low-range estimates for supply occurred, total gasoline supply would increase about 200 thousand barrels per day (Figure S1). However, record crude oil prices are nonetheless pushing current and expected gasoline prices to record levels.

469

PriceTechNotes2012.vp  

Gasoline and Diesel Fuel Update (EIA)

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

470

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

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

471

Wholesale Power and Transmission Rate Projections 1993--2014 and Historical Wholesale Power Rates 1939--1992.  

SciTech Connect

This document provides a range of high, medium, and low case long-term projections of Bonneville Power Administration`s (BPA) wholesale power rates and a medium case long-term projection of BPA`s wheeling rates. These projections are produced annually by BPA. BPA uses these projections in long-term marketing, resource, transmission, and financial planning assessments. BPA`s projections also are used by public utility commissions, utilities, and others for a variety of planning purposes. The analysis used for these rate projections assumes that current rate making methodologies continue into the future and are further based on certain assumptions about regional loads, extra-regional markets, the costs of resources, BPA`s financial requirements, and the capability of the region`s power plants. While these projections are intended to address the overall uncertainty in rate levels, BPA realizes that the future will not reflect any specific set of assumptions. The rate projections in this document have been prepared prior to the Draft 1993 BPA Marketing Plan, the implementation of which is almost certain to push BPA away from any set of assumptions in this document. Therefore, this document can be thought of as representing the ``old`` BPA with its products and policies. It can be viewed as a starting point or reference point to measure the impact of the ``new`` BPA with its Marketing Plan, and the broader undertaking referred to as the Competitiveness Project.

US Bonneville Power Administration

1993-11-01T23:59:59.000Z

472

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-11-10T23:59:59.000Z

473

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-01-10T23:59:59.000Z

474

Chemical Market Prices  

Science Journals Connector (OSTI)

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

1945-01-10T23:59:59.000Z

475

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-10-10T23:59:59.000Z

476

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-02-10T23:59:59.000Z

477

CHEMICAL MARKET PRICES  

Science Journals Connector (OSTI)

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

1941-03-10T23:59:59.000Z

478

THE WEEK'S PRICE CHANGES  

Science Journals Connector (OSTI)

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

1950-02-27T23:59:59.000Z

479

Electricity Monthly Update - Energy Information Administration  

Annual Energy Outlook 2012 (EIA)

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

480

Monthly/Annual Energy Review - electricity section  

Reports and Publications (EIA)

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

2015-01-01T23:59:59.000Z

Note: This page contains sample records for the topic "wholesale 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
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481

Opportunities and obstacles in the wholesale power market  

SciTech Connect

This paper describes the following: service opportunities, market center, relationships, and obstacles in the electric power market.

James, L.M. [SRP, Phoenix, AZ (United States)

1996-12-31T23:59:59.000Z

482

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

483

An Analysis of Price Determination and Markups in the Air-Conditioning and Heating Equipment Industry  

SciTech Connect

In this report we calculate the change in final consumer prices due to minimum efficiency standards, focusing on a standard economic model of the air-conditioning and heating equipment (ACHE) wholesale industry. The model examines the relationship between the marginal cost to distribute and sell equipment and the final consumer price in this industry. The model predicts that the impact of a standard on the final consumer price is conditioned by its impact on marginal distribution costs. For example, if a standard raises the marginal cost to distribute and sell equipment a small amount, the model predicts that the standard will raise the final consumer price a small amount as well. Statistical analysis suggest that standards do not increase the amount of labor needed to distribute equipment the same employees needed to sell lower efficiency equipment can sell high efficiency equipment. Labor is a large component of the total marginal cost to distribute and sell air-conditioning and heating equipment. We infer from this that standards have a relatively small impact on ACHE marginal distribution and sale costs. Thus, our model predicts that a standard will have a relatively small impact on final ACHE consumer prices. Our statistical analysis of U.S. Census Bureau wholesale revenue tends to confirm this model prediction. Generalizing, we find that the ratio of manufacturer price to final consumer price prior to a standard tends to exceed the ratio of the change in manufacturer price to the change in final consumer price resulting from a standard. The appendix expands our analysis through a typical distribution chain for commercial and residential air-conditioning and heating equipment.

Dale, Larry; Millstein, Dev; Coughlin, Katie; Van Buskirk, Robert; Rosenquist, Gregory; Lekov, Alex; Bhuyan, Sanjib

2004-01-30T23:59:59.000Z

484

Pricing Energy in a Multi-Utility Market  

Science Journals Connector (OSTI)

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

Markus Franke; Andreas Kamper; Anke Eßer

2007-01-01T23:59:59.000Z

485

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

E-Print Network (OSTI)

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

Park, Haesun

2005-11-01T23:59:59.000Z

486

ELECTRIC  

Office of Legacy Management (LM)

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

487

Sales effort free riding and coordination with price match and channel rebate  

Science Journals Connector (OSTI)

This paper studies sales effort coordination for a supply chain with one manufacturer and two retail channels, where an online retailer offers a lower price and free-rides a brick-and-mortar retailer’s sales effort. The free riding effect reduces brick-and-mortar retailer’s desired effort level, and thus hurts the manufacturer’s profit and the overall supply chain performance. To achieve sales effort coordination, we designed a contract with price match and selective compensation rebate. We also examined other contracts, including the target rebate contract and the wholesale price discount contract, both with price match. The numerical analysis shows that the selective rebate outperforms other contracts in coordinating the brick-and-mortar retailer’s sales effort and improving supply chain efficiency.

Dahai Xing; Tieming Liu

2012-01-01T23:59:59.000Z

488

CANNED FISH RETAIL PRICES  

E-Print Network (OSTI)

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

489

CANNED FISH RETAIL .PRICES,  

E-Print Network (OSTI)

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

490

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

491

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

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

492

Electricity Market Module  

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

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

493

Retail competition in the UK electricity sector  

E-Print Network (OSTI)

Retail competition in the UK electricity sector Stephen Littlechild Workshops on Retail Competition Santiago, Chile 16 &17 March 2006 #12;Outline · Why retail competition? · Preparations and large user;Why retail competition? · Wholesale competition to deliver most efficient pattern of generation

Rudnick, Hugh

494

Managing Energy Price Risk with Derivatives  

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

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

495

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

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

496

Outline Introduction Literature Review Electric Power Supply Chains Empirical Examples Conclusions An Integrated Electric Power Supply Chain and Fuel  

E-Print Network (OSTI)

primary energy (Energy Information Administration (2000, 2005)) Deregulation Wholesale market Bilateral An Integrated Electric Power Supply Chain and Fuel Market Network Framework: Theoretical Modeling with Empirical review An integrated electric power supply chain and fuel market network framework Empirical case study

Nagurney, Anna

497

Abstract--We consider the management of electric vehicle (EV) loads within a market-based Electric Power System  

E-Print Network (OSTI)

battery charging while engaging in energy and reserve capacity transactions in the wholesale power market day-ahead and real-time power market framework similar to that used in the major USA power pools (PJMAbstract--We consider the management of electric vehicle (EV) loads within a market-based Electric

Caramanis, Michael

498

Estimating Marginal Residential Energy Prices in the Analysis of Proposed  

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

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

499

MTBE Prices Responded to Natural Gas Prices  

Gasoline and Diesel Fuel Update (EIA)

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

500

All Price Tables.vp  

Gasoline and Diesel Fuel Update (EIA)

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