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


1

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

2

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

3

Regional Retail Gasoline Prices  

Gasoline and Diesel Fuel Update (EIA)

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

4

Electricity price forecasting in a grid environment.  

E-Print Network (OSTI)

??Accurate electricity price forecasting is critical to market participants in wholesale electricity markets. Market participants rely on price forecasts to decide their bidding strategies, allocate… (more)

Li, Guang, 1974-

2007-01-01T23:59:59.000Z

5

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

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...

6

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

7

Regional Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

8

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

9

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

10

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

11

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

12

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"

13

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

14

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...

15

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

16

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

17

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...

18

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

19

"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"

20

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

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


21

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"

22

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

23

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

24

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

25

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

26

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.

27

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

28

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

29

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

30

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.

31

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

32

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

33

,"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...

34

,"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...

35

,"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...

36

,"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...

37

,"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...

38

,"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...

39

,"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...

40

,"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...

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


41

,"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...

42

,"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...

43

,"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...

44

,"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...

45

,"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...

46

,"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...

47

,"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...

48

,"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...

49

,"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...

50

,"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...

51

,"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...

52

,"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...

53

,"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...

54

,"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...

55

,"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...

56

,"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...

57

,"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...

58

,"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...

59

,"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...

60

,"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...

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


61

,"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...

62

,"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...

63

,"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...

64

,"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...

65

,"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...

66

,"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...

67

,"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...

68

,"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...

69

,"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...

70

,"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...

71

,"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...

72

,"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...

73

,"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...

74

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

75

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...

76

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

77

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

78

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.

79

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"

80

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

SciTech Connect

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

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

1981-03-01T23:59:59.000Z

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


81

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

82

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

83

,"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)"...

84

,"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...

85

,"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...

86

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

87

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

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

88

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

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

89

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

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

90

AEO2011: Electric Power Projections for EMM Region - Western Electricity  

Open Energy Info (EERE)

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

91

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

92

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

93

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

94

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

95

Price dynamics of crude oil and the regional ethylene markets  

Science Journals Connector (OSTI)

This paper is the first attempt to investigate: (i) is the crude oil (WTI) price significantly related to the regional ethylene prices in the Naphtha intensive ethylene markets of the Far East, North West Europe, and the Mediterranean? (ii) What drives the regional ethylene prices? The paper is motivated by the recent and growing debate on the lead-lag relationship between crude oil and ethylene prices. Our findings, based on the long-run structural modelling approach of Pesaran and Shin, and subject to the limitations of the study, tend to suggest: (i) crude oil (WTI) price is cointegrated with the regional ethylene prices (ii) our within-sample error-correction model results tend to indicate that although the ethylene prices in North West Europe and the Mediterranean were weakly endogenous, the Far East ethylene price was weakly exogenous both in the short and long term. These results are consistent, during most of the period under review (2000.1–2006.4) with the surge in demand for ethylene throughout the Far East, particularly in China and South Korea. However, during the post-sample forecast period as evidenced in our variance decompositions analysis, the emergence of WTI as a leading player as well, is consistent with the recent surge in WTI price (fuelled mainly, among others, by the strong hedging activities in the WTI futures/options and refining tightness) reflecting the growing importance of input cost in determining the dynamic interactions of input and product prices.

Mansur Masih; Ibrahim Algahtani; Lurion De Mello

2010-01-01T23:59:59.000Z

96

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)

97

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

98

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.

99

Regional price targets appropriate for advanced coal extraction. [Forecasting to 1985 and 2000; USA; Regional analysis  

SciTech Connect

The object of the study is to provide a methodology for predicting coal prices in regional markets for the target time frames 1985 and 2000 that could subsequently be used to guide the development of an advanced coal extraction system. The model constructed for the study is a supply and demand model that focuses on underground mining, since the advanced technology is expected to be developed for these reserves by the target years. The supply side of the model is based on coal reserve data generated by Energy and Environmental Analysis, Inc. (EEA). Given this data and the cost of operating a mine (data from US Department of Energy and Bureau of Mines), the Minimum Acceptable Selling Price (MASP) is obtained. The MASP is defined as the smallest price that would induce the producer to bring the mine into production, and is sensitive to the current technology and to assumptions concerning miner productivity. Based on this information, market supply curves can then be generated. On the demand side of the model, demand by region is calculated based on an EEA methodology that emphasizes demand by electric utilities and demand by industry. The demand and supply curves are then used to obtain the price targets. This last step is accomplished by allocating the demands among the suppliers so that the combined cost of producing and transporting coal is minimized.

Terasawa, K.L.; Whipple, D.W.

1980-12-01T23:59:59.000Z

100

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

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


101

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

102

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

103

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

104

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

105

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.

106

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...

107

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.

108

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

109

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

110

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

111

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

112

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

113

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

114

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

115

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.

116

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

117

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

118

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

119

Pricing of Australia's coking coal exports: A regional hedonic analysis  

Science Journals Connector (OSTI)

Black coal is Australia's most important export commodity, but the profitability of the domestic coal industry has been low relative to the mining sector average. As a consequence, a key policy issue in Australia has been the extent to which Japan's coal pricing and investment policies have influenced coal market outcomes. In this paper, a regional hedonic pricing model of Australia's coking coal exports is estimated for the period JFY1989 to 1996. Non-Japan regional intercept dummy variables were found to be significantly different from zero, although these varied across coal categories and years. However, the empirical evidence indicates that Japan does not pay significantly lower prices relative to other major export markets for coking coal of a given quality.

Lindsay Hogan; Sally Thorpe; Anthony Swan; Simon Middleton

1999-01-01T23:59:59.000Z

120

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

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


121

ASEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

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

122

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

123

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

124

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

125

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

126

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

127

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

128

Regional Differences in the Price-Elasticity of Demand for Energy  

SciTech Connect

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

Bernstein, M. A.; Griffin, J.

2006-02-01T23:59:59.000Z

129

Why Do Motor Gasoline Prices Vary Regionally? California Case Study  

Reports and Publications (EIA)

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

1998-01-01T23:59:59.000Z

130

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

131

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

132

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

133

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

134

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

135

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

136

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.

137

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

Open Energy Info (EERE)

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

138

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

139

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

140

Regional Balanced Growth in Italy and the Increase in Oil Prices  

Science Journals Connector (OSTI)

The recent rise in fuel prices has had many diverse consequences both for ... while to enquire into the effect that the oil price rise may have on regional development within ... precisely that, namely, to determ...

Murray Brown; Maurizio Di Palma…

1976-01-01T23:59:59.000Z

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


141

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...

142

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

143

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

144

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

145

AEO2011: Electric Power Projections for EMM Region - Midwest Reliability  

Open Energy Info (EERE)

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

146

AEO2011: Electric Power Projections for EMM Region - Midwest Reliability  

Open Energy Info (EERE)

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

147

AEO2011: Electric Power Projections for EMM Region - Reliability First  

Open Energy Info (EERE)

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

148

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

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

149

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

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

150

AEO2011: Electric Power Projections for EMM Region - Northeast Power  

Open Energy Info (EERE)

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

151

AEO2011: Electric Power Projections for EMM Region - Florida Reliability  

Open Energy Info (EERE)

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

152

AEO2011: Electric Power Projections for EMM Region - Reliability First  

Open Energy Info (EERE)

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

153

AEO2011: Electric Power Projections for EMM Region - SERC Reliability  

Open Energy Info (EERE)

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

154

AEO2011: Electric Power Projections for EMM Region - Northeast Power  

Open Energy Info (EERE)

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

155

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

156

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

157

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

158

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.

159

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

160

AEO2011: Electricity Generation by Electricity Market Module Region and  

Open Energy Info (EERE)

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

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


161

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

162

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

163

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

164

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...

165

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

166

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

167

,"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"...

168

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.

169

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

170

Fact #675: May 16, 2011 Gasoline Prices by Region, May 2, 2011  

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

The West Coast region paid the highest prices for gasoline averaging $4.14 for a gallon of regular gasoline while the Rocky Mountain region paid the least at $3.70 per gallon. The southern states,...

171

electricity market module region | OpenEI  

Open Energy Info (EERE)

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

172

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

173

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...

174

AEO2011: Coal Production and Minemouth Prices by Region | OpenEI  

Open Energy Info (EERE)

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

175

OE State and Regional Electricity Policy Assistance Program | Department of  

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

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

176

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network (OSTI)

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

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

177

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

178

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

179

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

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

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

180

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

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


181

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

182

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

183

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

184

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

185

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

186

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

187

AEO2011: Coal Minemouth Prices by Region and Type | OpenEI  

Open Energy Info (EERE)

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

188

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

Open Energy Info (EERE)

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

189

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

190

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.

191

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

192

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

193

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

194

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

195

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

196

Lake Region Electric Cooperative- Commercial Energy Efficiency Grant Program  

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

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

197

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

198

Dynamic interactions between electricity prices and the regional economy  

E-Print Network (OSTI)

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

Bethapudi, Daniel Naveen

2005-08-29T23:59:59.000Z

199

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

200

Lake Region Electric Cooperative | Open Energy Information  

Open Energy Info (EERE)

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

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


201

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

202

Electric System Decision Making in Other Regions: A Preliminary Analysis  

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

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

203

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

204

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

205

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

206

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

207

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

208

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

SciTech Connect

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

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

1994-08-01T23:59:59.000Z

209

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

210

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network (OSTI)

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

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

211

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

212

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

213

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

Open Energy Info (EERE)

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

214

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

Open Energy Info (EERE)

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

215

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

Open Energy Info (EERE)

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

216

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

217

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

SciTech Connect

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

Hadley, S.W.

1998-07-01T23:59:59.000Z

218

Are the transport fuel retail markets regionally integrated in Spain? Evidence from price transmission  

Science Journals Connector (OSTI)

Abstract In this paper we explore whether the Spanish retail fuel markets are integrated at the regional level. We perform a comparative analysis of the transmission of international wholesale fuel prices to retail fuel prices. Our results are in favor of market segmentation, since the degree of cost pass-through differs noticeably across provinces (NUTS 3) and this outcome is clearly robust to the exclusion of the island provinces. We also found that cost pass-through is more similar for those provinces belonging to the same autonomous community (NUTS 2). It is suggested that different regulations and criteria regarding the granting of administrative authorizations from the autonomous communities could be hindering the integration of geographical markets.

Jacint Balaguer; Jordi Ripollés

2014-01-01T23:59:59.000Z

219

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

220

Lake Region Electric Cooperative - Residential Energy Efficiency Rebate  

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

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

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


221

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

E-Print Network (OSTI)

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

Eliston, Anton Jayanand

2009-01-01T23:59:59.000Z

222

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,

223

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

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

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

224

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

225

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

226

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

227

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

228

USLCI Interconnect Region Electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

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

229

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

230

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.

231

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

232

,"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)"

233

,"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)"

234

,"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)"

235

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

236

,"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)"

237

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

238

Furnace Blower Electricity: National and Regional Savings Potential  

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

Furnace Blower Electricity: National and Regional Savings Potential Furnace Blower Electricity: National and Regional Savings Potential Title Furnace Blower Electricity: National and Regional Savings Potential Publication Type Report LBNL Report Number LBNL-417E Year of Publication 2008 Authors Franco, Victor H., James D. Lutz, Alexander B. Lekov, and Lixing Gu Document Number LBNL-417E Pagination 14 Date Published August 1 Publisher Lawrence Berkeley National Laboratory City Berkeley Abstract Currently, total electricity consumption of furnaces is unregulated, tested at laboratory conditions using the DOE test procedure, and is reported in the GAMA directory as varying from 76 kWh/year to 1,953 kWh/year. Furnace blowers account for about 80% of the total furnace electricity consumption and are primarily used to distribute warm air throughout the home during furnace operation as well as distribute cold air during air conditioning operation. Yet the furnace test procedure does not provide a means to calculate the electricity consumption during cooling operation or standby, which account for a large fraction of the total electricity consumption. Furthermore, blower electricity consumption is strongly affected by static pressure. Field data shows that static pressure in the house distribution ducts varies widely and that the static pressureused in the test procedure as well as the calculated fan power is not representative of actual field installations. Therefore, accurate determination of the blower electricity consumption is important to address electricity consumption of furnaces and air conditioners. This paper compares the potential regional and national energy savings of two-stage brushless permanent magnet (BPM) blower motors (the blower design option with the most potential savings that is currently available in the market) to single-stage permanent split capacitor (PSC) blower motors (the most common blower design option). Computer models were used to generate the heating and cooling loads for typical homes in 16 different climates which represent houses throughout the United States. The results show that the potential savings of using BPM motors vary by region and house characteristics, and are very strongly tied to improving house distribution ducts. Savings decrease dramatically with increased duct pressure. Cold climate locations will see savings even in the high static pressure duct situations, whilewarm climate locations will see less savings overall and negative savings in the high static pressure duct situations. Moderate climate locations will see little or no savings.

239

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

240

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

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


241

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

242

Simulating Electricity Restructuring in California: Interactions with the Regional Market  

E-Print Network (OSTI)

discussion has focused on issues associated with the organization of wholesale, or bulk power marketsPWP-038 Simulating Electricity Restructuring in California: Interactions with the Regional Market of the Program on Workable Energy Regulation (POWER). POWER is a program of the University of California Energy

California at Berkeley. University of

243

Southeast European Regional Electricity Market Analysis | Open Energy  

Open Energy Info (EERE)

Electricity Market Analysis Electricity Market Analysis Jump to: navigation, search Name Southeast European Regional Electricity Market analysis Agency/Company /Organization Argonne National Laboratory Partner United States Agency for International Development, Montgomery Watson Harza Sector Energy Topics Market analysis, Background analysis Website http://www.dis.anl.gov/news/Ba UN Region "Western & Eastern Europe" is not in the list of possible values (Eastern Africa, Middle Africa, Northern Africa, Southern Africa, Western Africa, Caribbean, Central America, South America, Northern America, Central Asia, Eastern Asia, Southern Asia, South-Eastern Asia, Western Asia, Eastern Europe, Northern Europe, Southern Europe, Western Europe, Australia and New Zealand, Melanesia, Micronesia, Polynesia, Latin America and the Caribbean) for this property.

244

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.

245

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

246

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

247

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

248

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

249

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

250

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

251

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

252

Furnace Blower Electricity: National and Regional Savings Potential  

SciTech Connect

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

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

2008-05-16T23:59:59.000Z

253

Lake Region Electric Assn, Inc | Open Energy Information  

Open Energy Info (EERE)

Lake Region Electric Assn, Inc Lake Region Electric Assn, Inc Place South Dakota Utility Id 10632 Utility Location Yes Ownership C NERC Location MRO NERC RFC Yes Activity Distribution Yes References EIA Form EIA-861 Final Data File for 2010 - File1_a[1] LinkedIn Connections CrunchBase Profile No CrunchBase profile. Create one now! This article is a stub. You can help OpenEI by expanding it. Utility Rate Schedules Grid-background.png General Service - Large Three Phase Heating(Separate Metering) Industrial General Service Single Phase Commercial General Service Single Phase (Heat-separate meter) Commercial General Service- Large Three-Phase Controlled Commercial General Service- Large Three-Phase uncontrolled Industrial General Service- Seasonal Service Commercial General Service- Small Three-Phase Commercial

254

Furnace Blower Electricity: National and Regional Savings Potential  

E-Print Network (OSTI)

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

Franco, Victor; Florida Solar Energy Center

2008-01-01T23:59:59.000Z

255

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

256

World oil demand’s shift toward faster growing and less price-responsive products and regions  

Science Journals Connector (OSTI)

Using data for 1971–2008, we estimate the effects of changes in price and income on world oil demand, disaggregated by product – transport oil, fuel oil (residual and heating oil), and other oil – for six groups of countries. Most of the demand reductions since 1973–74 were due to fuel-switching away from fuel oil, especially in the OECD; in addition, the collapse of the Former Soviet Union (FSU) reduced their oil consumption substantially. Demand for transport and other oil was much less price-responsive, and has grown almost as rapidly as income, especially outside the OECD and FSU. World oil demand has shifted toward products and regions that are faster growing and less price-responsive. In contrast to projections to 2030 of declining per-capita demand for the world as a whole – by the U.S. Department of Energy (DOE), International Energy Agency (IEA) and OPEC – we project modest growth. Our projections for total world demand in 2030 are at least 20% higher than projections by those three institutions, using similar assumptions about income growth and oil prices, because we project rest-of-world growth that is consistent with historical patterns, in contrast to the dramatic slowdowns which they project.

Joyce M. Dargay; Dermot Gately

2010-01-01T23:59:59.000Z

257

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

258

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

259

"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

260

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

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


261

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

262

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

SciTech Connect

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

Porter, K.; Rogers, J.

2009-12-01T23:59:59.000Z

263

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

SciTech Connect

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

Dallas Burtraw; Danny Kahn; Karen Palmerook

2005-12-15T23:59:59.000Z

264

"Table A42. Average Prices of Purchased Energy Sources by Census Region,"  

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

1" 1" " (Estimates in Dollars per Physical Units)" ,,,,,"Noncombustible Energy Sources",,,,,,,,,,,,,,,,,,"Combustible Energy Sources" ,,,,,,,,,,,,,,,"Solids",,,,,,,,,,"Gases",,,,,,,,,"Liquids" " "," ",," "," ",,,,," "," "," "," "," "," "," ",,,"Wood","Wood Residues",,,,,,,,,,,,,,,,,,,," " " "," ",,"Electricity","Electricity","Electricity","Steam","Steam","Steam","Industrial",," ","Bituminous and"," ",," ",,,"Harvested","and Byproducts","Wood and",,"Natural Gas",,,,,,,"Total Diesel Fuel",,,,,"Motor Gasoline",,,,," "

265

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

266

Evaluating the Impact of Plug-in Hybrid Electric Vehicles on Regional Electricity Supplies  

SciTech Connect

Plug-in Hybrid Electric Vehicles (PHEVs) have the potential to increase the use of electricity to fuel the U.S. transportation needs. The effect of this additional demand on the electric system will depend on the amount and timing of the vehicles' periodic recharging on the grid. We used the ORCED (Oak Ridge Competitive Electricity Dispatch) model to evaluate the impact of PHEVs on the Virginia-Carolinas (VACAR) electric grid in 2018. An inventory of one million PHEVs was used and charging was begun in early evening and later at night for comparison. Different connection power levels of 1.4 kW, 2 kW, and 6 kW were used. The results include the impact on capacity requirements, fuel types, generation technologies, and emissions. Cost information such as added cost of generation and cost savings versus use of gasoline were calculated. Preliminary results of the expansion of the study to all regions of the country are also presented. The results show distinct differences in fuels and generating technologies when charging times are changed. At low specific power and late in the evening, coal was the major fuel used, while charging more heavily during peak times led to more use of combustion turbines and combined cycle plants.

Hadley, Stanton W [ORNL

2007-01-01T23:59:59.000Z

267

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

268

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

269

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

270

The Household Market for Electric Vehicles: Testing the Hybrid Household Hypothesis--A Reflively Designed Survey of New-car-buying, Multi-vehicle California Households  

E-Print Network (OSTI)

16. Regional electric vehicles: rebate. high performanceCommunity electric vehicles: lower rebate. priced electric,luxury) * S m a l l Electric Vehicle T a x Rebate Subtract $

Turrentine, Thomas; Kurani, Kenneth

1995-01-01T23:59:59.000Z

271

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

272

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

273

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

274

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

275

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

276

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

277

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

278

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

E-Print Network (OSTI)

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

California at Berkeley, University of

279

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

280

Committed regional electrical interconnection projects in the Middle East  

SciTech Connect

Due to the well-known advantages of electrical interconnections and their consequent benefits, Jordan considers the interconnection of its electrical network with the neighboring electrical networks as one of its main corporate strategies. At present the electrical interconnection project of the networks of Egypt, Iraq, Jordan, Syria, and Turkey is progressing. To achieve this interconnection project, two feasibility studies were conducted: interconnection of the Egyptian and Jordanian electrical power systems; interconnection of the electrical networks of Egypt, Iraq, Jordan, Syria, and Turkey (EIJST interconnection). This presentation reviews these studies and their results.

Azzam, M.; Al-Said, A.

1994-12-01T23:59:59.000Z

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


281

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

282

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

283

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

284

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

SciTech Connect

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

Rogers, J.; Porter, K.

2011-03-01T23:59:59.000Z

285

Potential impacts of plug-in hybrid electric vehicles on regional power generation  

SciTech Connect

Simulations predict that the introduction of PHEVs could impact demand peaks, reduce reserve margins, and increase prices. The type of power generation used to recharge the PHEVs and associated emissions will depend upon the region and the timing of the recharge. (author)

Hadley, Stanton W.; Tsvetkova, Alexandra A.

2009-12-15T23:59:59.000Z

286

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

287

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

E-Print Network (OSTI)

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

California at Berkeley, University of

288

Gas Prices: Frequently Asked Questions  

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

Prices: Frequently Asked Questions Prices: Frequently Asked Questions What determines the price of gasoline? Energy Information Administration What's going on with gasoline prices? Factors Affecting Gasoline Prices This Week in Petroleum (updated weekly) Gasoline Price Pass-through Oil Market Basics Primer on Gasoline Sources and Markets What's up (and down) with gasoline prices? Illustration showing component costs of gasoline What are the average national and regional gasoline prices? Energy Information Administration Gasoline and Diesel Fuel Update (updated weekly) This Week in Petroleum (updated weekly) California Energy Commission California Gasoline & Gasoline Prices What is the outlook for gasoline prices? Energy Information Administration Short-Term Energy Outlook Why are gasoline prices so different from one state (or region) to another?

289

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

290

"Table A17. Components of Onsite Electricity Generation by Census Region,"  

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

7. Components of Onsite Electricity Generation by Census Region," 7. Components of Onsite Electricity Generation by Census Region," " Industry Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," "," ","RSE" "SIC"," "," "," "," "," ","Row" "Code(a)","Industry Groups and Industry","Total","Cogeneration","Renewables","Other(b)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,0.8,1.4,1.2

291

"Table A16. Components of Total Electricity Demand by Census Region, Industry"  

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

6. Components of Total Electricity Demand by Census Region, Industry" 6. Components of Total Electricity Demand by Census Region, Industry" " Group, and Selected Industries, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Groups and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

292

USLCI eGrid region electricity datasets, 2008 | OpenEI  

Open Energy Info (EERE)

eGrid region electricity datasets, 2008 eGrid region electricity datasets, 2008 Dataset Summary Description Datasets are for the US electricity grid system for eGrid regions (AKGD, AKMS, AZNM, CAMX, ERCT, FRCC, HIMS, HIOA, MROE, MROW, NEWE, NWPP, NYCW, NYLI, NYUP, RFCE, RFCM, RFCW, RMPA, SPNO, SPSO, SRMV, SRMW, SRSO, SRTV, SRVC) for 2008. The data is provided in life cycle inventory forms (xls and xml) . A module report and a detailed spreadsheet are also included.Datasets include generation and transmission of electricity for each of the eGrid regions. It is representative of the year 2008 mix of fuels used for utility generations for each of the eGrid regions and is based on the EIA electricity reports for all power plants in the US. Detailed information on the methodology is included in the module

293

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

294

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

E-Print Network (OSTI)

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

Netoff, Theoden

295

EIA - Assumptions to the Annual Energy Outlook 2009 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

Electricity Market Module Electricity Market Module Assumptions to the Annual Energy Outlook 2009 Electricity Market Module figure 6. Electricity Market Model Supply Regions. Need help, contact the National Energy Information Center at 202-586-8800. The NEMS Electricity Market Module (EMM) represents the capacity planning, dispatching, and pricing of electricity. It is composed of four submodules—electricity capacity planning, electricity fuel dispatching, load and demand electricity, and electricity finance and pricing. It includes nonutility capacity and generation, and electricity transmission and trade. A detailed description of the EMM is provided in the EIA publication, Electricity Market Module of the National Energy Modeling System 2009, DOE/EIA-M068(2009). Based on fuel prices and electricity demands provided by the other modules

296

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

297

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

298

Residential heating oil prices available  

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

ago, based on the U.S. Energy Information Administration's weekly residential heating fuel price survey. Heating oil prices in the New England region are at 3.48 per gallon,...

299

"Table A27. Components of Onsite Electricity Generation by Census Region,"  

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

Components of Onsite Electricity Generation by Census Region," Components of Onsite Electricity Generation by Census Region," " Census Division, Industry Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" ," "," "," "," " " "," "," "," ",," ","RSE" "SIC"," "," "," ",," ","Row" "Code(a)","Industry Group and Industry","Total","Cogeneration","Renewables","Other(b)","Factors" ,,"Total United States" ,"RSE Column Factors:",0.8,0.8,1.6,1 , 20,"Food and Kindred Products",6962,6754,90,118,11.2

300

Table A19. Components of Total Electricity Demand by Census Region and  

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

Components of Total Electricity Demand by Census Region and" Components of Total Electricity Demand by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,1.4,1.3,1.9,0.5 "Value of Shipments and Receipts" "(million dollars)"

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


301

Table A26. Components of Total Electricity Demand by Census Region, Census Di  

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

Components of Total Electricity Demand by Census Region, Census Division, and" Components of Total Electricity Demand by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," ","Sales/"," ","RSE" " "," ","Transfers","Onsite","Transfers"," ","Row" "Economic Characteristics(a)","Purchases","In(b)","Generation(c)","Offsite","Net Demand(d)","Factors" ,"Total United States" "RSE Column Factors:",0.5,2.1,1.2,2,0.4 "Value of Shipments and Receipts"

302

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

303

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

304

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

305

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

SciTech Connect

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

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

2013-02-01T23:59:59.000Z

306

Gasoline Prices: What is Happening?  

Gasoline and Diesel Fuel Update (EIA)

Gasoline Prices: What is Happening? Gasoline Prices: What is Happening? 5/10/01 Click here to start Table of Contents Gasoline Prices: What is Happening? Retail Motor Gasoline Price* Forecast Doesn't Reflect Potential Volatility Midwest Looking Like Last Year RFG Responding More Strongly Gasoline Prices Vary Among Locations.Retail Regular Gasoline Price, Cents per Gallon May 8, 2001 Crude Oil Affects Gasoline Prices WTI Crude Oil Prices Are Expected To Remain Relatively High Through At Least 2001 Low Total OECD Oil Stocks* Keep Market Balance Tight Low U.S. Stocks Indicate Tight U.S. Market Regional Inventories Tight Product Balance Pushes Up Product Spread (Spot Product - Crude Price) "New Factor" Contributing to Volatility: Excess Capacity is Gone Regional Refinery Utilization Shows Gulf Coast Pressure

307

Retail Diesel Fuel Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

Along with heating oil prices, the distillate supply squeeze has Along with heating oil prices, the distillate supply squeeze has severely impacted diesel fuel prices, especially in the Northeast. Retail diesel price data are available sooner than residential heating oil data. This graph shows that diesel prices turned the corner sometime after February 7 and are heading down. Retail diesel fuel prices nationally, along with those of most other petroleum prices, increased steadily through most of 1999. Prices jumped dramatically (by over 11 cents per gallon) in the third week of January, and rose 2 or more cents a week through February 7. The increases were much more rapid in the Northeast. From January 17 through February 7, diesel fuel prices in New England rose nearly 68 cents per gallon, or 47 percent. Prices in the Mid-Atlantic region rose about 58

308

Table N8.2. Average Prices of Purchased Energy Sources, 1998  

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

2. Average Prices of Purchased Energy Sources, 1998;" 2. Average Prices of Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: NAICS Codes; Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected","Wood and Other","Biomass","Components" ,,,,,,,"Coal Components",,,"Coke",,"Electricity","Components",,,,,,,,,,,,,"Natural Gas","Components",,"Steam","Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

309

Table 7.1 Average Prices of Purchased Energy Sources, 2002  

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

Average Prices of Purchased Energy Sources, 2002;" Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes;" " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Physical Units." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

310

Table 7.2 Average Prices of Purchased Energy Sources, 2002  

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

2 Average Prices of Purchased Energy Sources, 2002;" 2 Average Prices of Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: NAICS Codes; " " Column: All Energy Sources Collected;" " Unit: U.S. Dollars per Million Btu." ,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,"Selected Wood and Other Biomass Components" ,,,,,,"Coal Components",,,"Coke",,,"Electricity Components",,,,,,,,,,,,,,"Natural Gas Components",,,"Steam Components" ,,,,,,,,,,,,,,"Total",,,,,,,,,,,,,,,,,,,,,,,"Wood Residues" " "," "," ",,,,,"Bituminous",,,,,,"Electricity","Diesel Fuel",,,,,,"Motor",,,,,,,"Natural Gas",,,"Steam",,,," ",,,"and","Wood-Related",," ",," "

311

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

312

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

313

Retail Motor Gasoline Prices*  

Gasoline and Diesel Fuel Update (EIA)

6 6 Notes: Gasoline pump prices have backed down from the high prices experienced last summer and fall. The retail price for regular motor gasoline fell 11 cents per gallon from September to December. However, with crude oil prices rebounding somewhat from their December lows combined with lower than normal stock levels, we project that prices at the pump will rise modestly as the 2001 driving season begins this spring. For the summer of 2001, we expect only a little difference from the average price of $1.50 per gallon seen during the previous driving season, as motor gasoline stocks going into the driving season are projected to be slightly less than they were last year. The situation of relatively low inventories for gasoline could set the stage for some regional imbalances in supply that could once again

314

Residential Heating Oil Prices  

Gasoline and Diesel Fuel Update (EIA)

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

315

Will competition hurt electricity consumers in the Pacific Northwest  

SciTech Connect

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

Hadley, S.; Hirst, E.

1998-11-01T23:59:59.000Z

316

The Alternative Fuel Price Report  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

December 17, 2001 December 17, 2001 his is the fifth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders during the weeks of October 15 and October 22, 2001, with comparisons to the prices in the previous Price Report for the week of June 4, 2001. Gasoline and Diesel Prices egular grade gasoline averaged $1.265 per gallon nationwide during the week of October 22, 2001. This represents a decrease of $0.414 per gallon from the previous Price Report (June 2001), as illustrated in the table to the right. Prices for the various regions of the

317

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

318

Flexible gas insulated transmission line having regions of reduced electric field  

DOE Patents (OSTI)

A gas insulated transmission line having radially flexible field control means for reducing the electric field along the periphery of the inner conductor at predetermined locations wherein the support insulators are located. The radially flexible field control means of the invention includes several structural variations of the inner conductor, wherein careful controlling of the length to depth of surface depressions produces regions of reduced electric field. Several embodiments of the invention dispose a flexible connector at the predetermined location along the inner conductor where the surface depressions that control the reduced electric field are located.

Cookson, Alan H. (Pittsburgh, PA); Fischer, William H. (Wilkins Township, Allegheny County, PA); Yoon, Kue H. (Pittsburgh, PA); Meyer, Jeffry R. (Penn Hills Township, Allegheny County, PA)

1983-01-01T23:59:59.000Z

319

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

320

Table A20. Components of Onsite Electricity Generation by Census Region and  

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

Components of Onsite Electricity Generation by Census Region and" Components of Onsite Electricity Generation by Census Region and" " Economic Characteristics of the Establishment, 1991" " (Estimates in Million Kilowatthours)" ,,,,,"RSE" " "," "," "," "," ","Row" "Economic Characteristics(a)","Total","Cogeneration","Renewables","Other(b)","Factors" ,"Total United States" "RSE Column Factors:",0.8,0.8,1.2,1.3 "Value of Shipments and Receipts" "(million dollars)" " Under 20",562,349,"W","W",23 " 20-49",4127,3917,79,131,20.1 " 50-99",8581,7255,955,371,10

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


321

Table A28. Components of Onsite Electricity Generation by Census Region, Cens  

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

Components of Onsite Electricity Generation by Census Region, Census Division, and" Components of Onsite Electricity Generation by Census Region, Census Division, and" " Economic Characteristics of the Establishment, 1994" " (Estimates in Million Kilowatthours)" ,,,"Renewables" ,,,"(excluding Wood",,"RSE" " "," "," ","and"," ","Row" "Economic Characteristics(a)","Total","Cogeneration(b)","Other Biomass)(c)","Other(d)","Factors" ,"Total United States" "RSE Column Factors:",0.6,0.6,1.8,1.4 "Value of Shipments and Receipts" "(million dollars)" " Under 20",1098,868," W "," W ",22.3

322

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

323

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

324

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

E-Print Network (OSTI)

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

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

325

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 ...

326

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

327

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

328

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

329

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

330

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

331

" Electricity Generation by Census Region, Census Division, Industry Group, and"  

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

A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" A6. Total Inputs of Selected Byproduct Energy for Heat, Power, and" " Electricity Generation by Census Region, Census Division, Industry Group, and" " Selected Industries, 1994" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," ","Waste"," " " "," "," ","Blast"," "," "," "," ","Oils/Tars","RSE" "SIC"," "," ","Furnace/Coke"," ","Petroleum","Pulping","Wood Chips,","And Waste","Row"

332

Regional electrical resistivity structure of the southern Canadian Cordillera and its physical interpretation  

E-Print Network (OSTI)

Regional electrical resistivity structure of the southern Canadian Cordillera and its physical on paleomagnetic data and palinspastic reconstructions. Comparing the resistivity models derived from two-dimensional resistivity model for southern British Columbia. Generally, the model shows a resistive upper crust overlying

Jones, Alan G.

333

The Alternative Fuel Price Report  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

New England New England New England New England Central Atlantic Central Atlantic Central Atlantic Central Atlantic Lower Atlantic Lower Atlantic Lower Atlantic Lower Atlantic Gulf Coast Gulf Coast Gulf Coast Gulf Coast West Coast West Coast West Coast West Coast Rocky Mountain Rocky Mountain Rocky Mountain Rocky Mountain Midwest Midwest Midwest Midwest Map of U.S. Regions Map of U.S. Regions Map of U.S. Regions Map of U.S. Regions THE ALTERNATIVE FUEL PRICE REPORT Alternative Fuel Prices Across the Nation March 28, 2002 his is the fifth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders during the months

334

Making it Happen The Action Plan The Council believes it is critical that the region act now to help secure an adequate, efficient,  

E-Print Network (OSTI)

savings of some value and reduces the risk of increases in fuel prices and the cost of electricity. Second that indicated by short-run power prices provides additional value in mitigating fuel costs, market price that the region target 700 average megawatts of cost-effective conservation acquisitions from 2005 through 2009. 1

335

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

336

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

E-Print Network (OSTI)

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

337

Electricity Market Module  

Gasoline and Diesel Fuel Update (EIA)

6, DOE/EIA- 6, DOE/EIA- M068(2006). Based on fuel prices and electricity demands provided by the other modules of the NEMS, the EMM determines the most economical way to supply electricity, within environmental and operational constraints. There are assumptions about the operations of the electricity sector and the costs of various options in each of the EMM submodules. This section describes the model parameters and assumptions used in EMM. It includes a discussion of legislation and regulations that are incorporated in EMM as well as information about the climate change action plan. The various electricity and technology cases are also described. EMM Regions The supply regions used in EMM are based on the North American Electric Reliability Council regions and

338

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

339

GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? Methodology and Case Study of Electricity Generation  

Science Journals Connector (OSTI)

GIS-Based Regionalized Life Cycle Assessment: How Big Is Small Enough? ... Several data sets were combined to form a life cycle inventory database of all large electricity generators in the United States for the year 2005. ... The North American Electric Reliability Corporation (NERC) defines 10 regions, mapped in section 5 of the SI, that have their own regulatory or technical independence. ...

Christopher L. Mutel; Stephan Pfister; Stefanie Hellweg

2011-12-27T23:59:59.000Z

340

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

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


341

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

342

"Table A25. Components of Total Electricity Demand by Census Region, Census Division, Industry"  

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

Components of Total Electricity Demand by Census Region, Census Division, Industry" Components of Total Electricity Demand by Census Region, Census Division, Industry" " Group, and Selected Industries, 1994" " (Estimates in Million Kilowatthours)" " "," "," "," "," "," "," "," " " "," "," "," "," ","Sales and/or"," ","RSE" "SIC"," "," ","Transfers","Total Onsite","Transfers","Net Demand for","Row" "Code(a)","Industry Group and Industry","Purchases","In(b)","Generation(c)","Offsite","Electricity(d)","Factors"

343

Table 7.5 Average Prices of Selected Purchased Energy Sources, 2002  

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

5 Average Prices of Selected Purchased Energy Sources, 2002;" 5 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate","Natural ","LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

344

"Table A25. Average Prices of Selected Purchased Energy Sources by Census"  

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

. Average Prices of Selected Purchased Energy Sources by Census" . Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 1" " (Estimates in Dollars per Physical Unit)" ,,,,," " " "," "," ","Residual","Distillate","Natural Gas(c)"," "," ","RSE" "SIC"," ","Electricity","Fuel Oil","Fuel Oil(b)","(1000","LPG","Coal","Row" "Code(a)","Industry Groups and Industry","(kWh)","(gallon)","(gallon)","cu ft)","(gallon)","(short ton)","Factors"

345

Table 7.4 Average Prices of Selected Purchased Energy Sources, 2002  

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

4 Average Prices of Selected Purchased Energy Sources, 2002;" 4 Average Prices of Selected Purchased Energy Sources, 2002;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate","Natural ","LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

346

"Table E8.1. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

1. Average Prices of Selected Purchased Energy Sources, 1998;" 1. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Physical Units." " ",," "," ",," "," " ,,"Residual","Distillate",,"LPG and",,"RSE" "Economic","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Row" "Characteristic(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors"

347

"Table E8.2. Average Prices of Selected Purchased Energy Sources, 1998;"  

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

2. Average Prices of Selected Purchased Energy Sources, 1998;" 2. Average Prices of Selected Purchased Energy Sources, 1998;" " Level: National and Regional Data; " " Row: Values of Shipments and Employment Sizes;" " Column: Energy Sources;" " Unit: U.S. Dollars per Million Btu." " ",," "," ",," "," ","RSE" "Economic",,"Residual","Distillate",,"LPG and",,"Row" "Characteristic(a)","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","NGL(d)","Coal","Factors" ,"Total United States"

348

" and Electricity Generation by Census Region, Census Division, Industry Group,"  

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

3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," 3. Total Inputs of Selected Wood and Wood-Related Products for Heat, Power," " and Electricity Generation by Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Billion Btu)" ,,,,"Selected Wood and Wood-Related Products" ,,,,,"Biomass" " "," ",," "," "," ","Wood Residues","Wood-Related"," " " "," ","Pulping Liquor",," ","Wood Harvested","and Byproducts","and","RSE" "SIC"," ","or","Biomass","Agricultural","Directly","from","Paper-Related","Row"

349

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...

350

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

351

Gasoline Prices Vary Among Locations  

Gasoline and Diesel Fuel Update (EIA)

5 5 Notes: The public is probably more knowledgeable about what they pay for gasoline than about anything else they use regularly. Most Americans are bombarded several times a day with the price of gasoline. Many people who phone our office don't only want to know why prices have risen, but why their prices are different than prices in some other area - the gasoline station two blocks away, the average price quoted on the news, the price their uncle is paying in a different region of the country. This chart shows some of the different state averages for a specific month. Besides taxes, these differences are due to factors such as distance from refining sources, and mix of reformulated versus conventional fuels. What this snapshot does not show,is that all of these prices can

352

Political and Regulatory Risk: Beta Sensitivity in U.K. Electricity Distribution*  

Science Journals Connector (OSTI)

To establish price caps, regulators must determine appropriate returns for utilities’ capital employed. This paper uses the techniques of the Kalman Filter to estimate daily betas for the U.K.’s regional electric...

Roger Buckland; Patricia Fraser

2001-01-01T23:59:59.000Z

353

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

354

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...

355

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...

356

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

357

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

358

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

359

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

360

AF Price Newsletter 11-1-00  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Nation Nation November 1, 2000 his is the second issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered during the week of October 9, 2000, with comparisons to the prices in the previous Price Report for the week of April 10, 2000. Gasoline and Diesel Prices asoline averaged $1.541 per gallon nationwide during the week of October 9, 2000. This represents an increase of $0.025 per gallon from the previous Price Report (April 2000), as illustrated in the table to the right. Prices for the various regions of the country are also illustrated in this table. (A map of the regions is shown at the bottom of this page.)

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


361

"Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"  

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

1" 1" " (Estimates in Dollars per Physical Units)" " "," ","Residual","Distillate ","Natural"," "," ","RSE" " ","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","Row" "Economic Characteristics(a)","(kWh)","(gallons)","(gallons)","(1000 cu ft)","(gallons)","(short tons)","Factors" ,"Total United States" "RSE Column Factors:",0.6,0.8,1.2,0.7,2.5,0.9 "Value of Shipments and Receipts" "(million dollars)" " Under 20",0.065,0.43,0.77,3.71,0.76,39.15, 2.4

362

"Table A41. Average Prices of Selected Purchased Energy Sources by Census Region,"  

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

2" 2" " (Estimates in Dollars per Million Btu)" " "," "," "," "," "," "," ","RSE" " "," ","Residual","Distillate","Natural"," "," ","Row" "Economic Characteristics(a)","Electricity","Fuel Oil","Fuel Oil(b)","Gas(c)","LPG","Coal","Factors" ,"Total United States" "RSE Column Factors:",0.6,0.8,1.2,0.7,2.5,0.9 "Value of Shipments and Receipts" "(million dollars)" " Under 20",18.96,2.9,5.56,3.6,8.66,1.74, 2.4 " 20-49",15.07,2.53,4.9,2.8,5.87,1.81, 2.7

363

Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components;  

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

1.1 Electricity: Components of Net Demand, 2006; 1.1 Electricity: Components of Net Demand, 2006; Level: National and Regional Data; Row: NAICS Codes; Column: Electricity Components; Unit: Million Kilowatthours. Total Sales and Net Demand NAICS Transfers Onsite Transfers for Code(a) Subsector and Industry Purchases In(b) Generation(c) Offsite Electricity(d) Total United States 311 Food 73,242 309 4,563 111 78,003 3112 Grain and Oilseed Milling 15,283 253 2,845 72 18,310 311221 Wet Corn Milling 6,753 48 2,396 55 9,142 31131 Sugar Manufacturing 920 54 951 7 1,919 3114 Fruit and Vegetable Preserving and Specialty Foo 9,720 1 268 13 9,976 3115 Dairy Products 10,079 0 44 0 10,123 3116 Animal Slaughtering and Processing 17,545 0 17 0 17,562 312 Beverage and Tobacco Products

364

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.

365

" by Type of Supplier, Census Region, Census Division, Industry Group,"  

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

3. Average Prices of Purchased Electricity and Steam" 3. Average Prices of Purchased Electricity and Steam" " by Type of Supplier, Census Region, Census Division, Industry Group," " and Selected Industries, 1994" " (Estimates in Dollars per Physical Units)" ,," Electricity",," Steam" ,," (kWh)",," (million Btu)" ,,,,,,"RSE" "SIC",,"Utility","Nonutility","Utility","Nonutility","Row" "Code(a)","Industry Group and Industry","Supplier(b)","Supplier(c)","Supplier(b)","Supplier(c)","Factors"

366

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

367

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

368

PriceTechNotes2011.vp  

Gasoline and Diesel Fuel Update (EIA)

Data Data 2011: Prices and Expenditures 111 R E N E W A B L E E N E R G Y to estimate prices for 1970 through 1989. The 1980 Census division resi- dential wood prices are adjusted in proportion to the changes in U.S. av- erage residential distillate fuel oil prices each year compared to the 1980 distillate fuel oil price. The Census division estimated prices are assigned to the states within each Census division for 1970 through 1989. The four Census region average prices for residential wood from RECS 1993 are used to estimate prices for 1990 forward. The 1993 Census division wood prices are adjusted in proportion to the changes in U.S. average residen- tial distillate fuel oil prices each year compared to the 1990 distillate fuel oil price. The estimated Census region wood prices are assigned to the states within each Census region for 1990 forward. Btu Prices, All Years Prices in dollars per cord are

369

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

6 End Uses of Fuel Consumption, 2006; 6 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Residual and LPG and (excluding Coal End Use Total Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Other(e) Total United States TOTAL FUEL CONSUMPTION 15,658 2,850 251 129 5,512 79 1,016 5,820 Indirect Uses-Boiler Fue -- 41 133 23 2,119 8 547 -- Conventional Boiler Use 41 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process -- 2,244 62 52 2,788 39 412 -- Process Heating -- 346 59 19 2,487 32 345 -- Process Cooling and Refrigeration -- 206 * 1 32 * * -- Machine Drive

370

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

Next MECS will be conducted in 2010 Table 5.8 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Trillion Btu. Distillate Fuel Oil Coal Net Demand Residual and LPG and (excluding Coal End Use for Electricity(a) Fuel Oil Diesel Fuel(b) Natural Gas(c) NGL(d) Coke and Breeze) Total United States TOTAL FUEL CONSUMPTION 3,335 251 129 5,512 79 1,016 Indirect Uses-Boiler Fuel 84 133 23 2,119 8 547 Conventional Boiler Use 84 71 17 1,281 8 129 CHP and/or Cogeneration Process 0 62 6 838 1 417 Direct Uses-Total Process 2,639 62 52 2,788 39 412 Process Heating 379 59 19 2,487 32 345 Process Cooling and Refrigeration

371

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity;  

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

7 End Uses of Fuel Consumption, 2006; 7 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Demand for Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Demand Residual and Natural Gas(c) LPG and Coke and Breeze) for Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million End Use (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) Total United States TOTAL FUEL CONSUMPTION 977,338 40 22 5,357 21 46 Indirect Uses-Boiler Fuel 24,584 21 4 2,059 2 25 Conventional Boiler Use 24,584 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process 773,574 10 9 2,709 10 19 Process Heating

372

Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity;  

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

5 End Uses of Fuel Consumption, 2006; 5 End Uses of Fuel Consumption, 2006; Level: National and Regional Data; Row: End Uses; Column: Energy Sources, including Net Electricity; Unit: Physical Units or Btu. Distillate Coal Fuel Oil (excluding Coal Net Residual and Natural Gas(c) LPG and Coke and Breeze) Total Electricity(a) Fuel Oil Diesel Fuel(b) (billion NGL(d) (million Other(e) End Use (trillion Btu) (million kWh) (million bbl) (million bbl) cu ft) (million bbl) short tons) (trillion Btu) Total United States TOTAL FUEL CONSUMPTION 15,658 835,382 40 22 5,357 21 46 5,820 Indirect Uses-Boiler Fuel -- 12,109 21 4 2,059 2 25 -- Conventional Boiler Use 12,109 11 3 1,245 2 6 CHP and/or Cogeneration Process 0 10 1 814 * 19 Direct Uses-Total Process

373

Estimation of conductivity changes in a region of interest with electrical impedance tomography  

E-Print Network (OSTI)

This paper proposes a novel approach to reconstruct changes in a target conductivity from electrical impedance tomography measurements. As in the conventional difference imaging, the reconstruction of the conductivity change is based on electrical potential measurements from the exterior boundary of the target before and after the change. In this paper, however, images of the conductivity before and after the change are reconstructed simultaneously based on the two data sets. The key feature of the approach is that the conductivity after the change is parameterized as a linear combination of the initial state and the change. This allows for modeling independently the spatial characteristics of the background conductivity and the change of the conductivity - by separate regularization functionals. The approach also allows in a straightforward way the restriction of the conductivity change to a localized region of interest inside the domain. While conventional difference imaging reconstruction is based on a glo...

Liu, Dong; Siltanen, Samuli; Laukkanen, Anne maria; Seppanen, Aku

2014-01-01T23:59:59.000Z

374

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

375

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: October 2011 Highlights: October 2011 Mixed temperatures led to flat retail sales of electricity during October 2011. Coal-fired generation decreased or was flat across the United States except for the Central region when compared to October 2010. October's electric system load remained in the mid-to-low section of the annual range in many electric systems across the United States. Key Indicators Oct. 2011 % Change from Oct. 2010 Total Net Generation (Thousand MWh) 309,400 0.5% Residential Retail Price (cents/kWh) 12.12 2.2% Retail Sales (Thousand MWh) 285,156 -0.9% Heating Degree-Days 259 8.8% Natural Gas Price, Henry Hub ($/MMBtu) 3.68 4.0% Coal Stocks (Thousand Tons) 156,880 -10.7% Coal Consumption (Thousand Tons) 69,627 -1.8% Natural Gas Consumption (Mcf) 603,724 1.6%

376

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

377

On the electrical resistivity of Pt3FexMn1-x alloys in the exchange inversion region  

E-Print Network (OSTI)

L-781 On the electrical resistivity of Pt3FexMn1-x alloys in the exchange inversion region J. V The electrical resistivity (p) data as a function of temperature are reported for Pt3FexMn1-x alloys (with x = 0. The samples for electrical resistivity ( ~ 1 x 1 x 8 mm3) were cut and reannealed for 72 hours before being

Boyer, Edmond

378

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

379

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)

380

The National Energy Modeling System: An Overview 2000 - Electricity Market  

Gasoline and Diesel Fuel Update (EIA)

electricity market module (EMM) represents the generation, transmission, and pricing of electricity, subject to: delivered prices for coal, petroleum products, and natural gas; the cost of centralized generation from renewable fuels; macroeconomic variables for costs of capital and domestic investment; and electricity load shapes and demand. The submodules consist of capacity planning, fuel dispatching, finance and pricing, and load and demand-side management (Figure 9). In addition, nonutility supply and electricity trade are represented in the fuel dispatching and capacity planning submodules. Nonutility generation from cogenerators and other facilities whose primary business is not electricity generation is represented in the demand and fuel supply modules. All other nonutility generation is represented in EMM. The generation of electricity is accounted for in 15 supply regions (Figure 10), and fuel consumption is allocated to the 9 Census divisions.

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


381

Alternative Fuels Price Report July 3, 2001  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

July 3, 2001 July 3, 2001 his is the fourth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders during the weeks of May 28 and June 4, 2001, with comparisons to the prices in the previous Price Report for the week of October 9, 2000. Gasoline and Diesel Prices asoline averaged $1.679 per gallon nationwide during the week of June 4, 2001. This represents an increase of $0.138 per gallon from the previous Price Report (October 2000), as illustrated in the table to the right. Prices for the various regions of the country are

382

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

383

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

384

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

385

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

386

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...

387

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...

388

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

389

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...

390

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

391

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.

392

National Survey of E85 and Gasoline Prices  

SciTech Connect

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

Bergeron, P.

2008-10-01T23:59:59.000Z

393

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

394

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

395

Minemouth Prices | OpenEI  

Open Energy Info (EERE)

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

396

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

397

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

398

Table 7.2 Average Prices of Purchased Energy Sources, 2010;  

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

Table 7.2 Average Prices of Purchased Energy Sources, 2010; Level: National and Regional Data; Row: NAICS Codes; Column: All Energy Sources Collected; Unit: U.S. Dollars per Million Btu. Selected Wood and Other Biomass Components Coal Components Coke Electricity Components Natural Gas Components Steam Components Total Wood Residues Bituminous Electricity Diesel Fuel Motor Natural Gas Steam and Wood-Related and Electricity from Sources and Gasoline Pulping Liquor Natural Gas from Sources Steam from Sources Waste Gases Waste Oils Industrial Wood Byproducts and NAICS Coal Subbituminous Coal Petroleum Electricity from Local Other than Distillate Diesel Distillate Residual Blast Coke Oven (excluding or LPG and Natural Gas from Local

399

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

400

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

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


401

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

402

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

403

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

404

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

E-Print Network (OSTI)

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

Eto, Joseph H.; Lesieutre, Bernard C.

2005-01-01T23:59:59.000Z

405

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

406

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...

407

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

408

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

SciTech Connect

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

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

1995-03-01T23:59:59.000Z

409

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...

410

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...

411

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:

412

Wellhead prices | OpenEI  

Open Energy Info (EERE)

Wellhead prices Wellhead 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 133, and contains only the reference case. The data is broken down into Production, lower 48 onshore and lower 48 offshore. Source EIA Date Released April 26th, 2011 (3 years ago) Date Updated Unknown Keywords 2011 AEO EIA Natural Gas Wellhead prices Data application/vnd.ms-excel icon AEO2011: Lower 48 Natural Gas Production and Wellhead Prices by Supply Region- Reference Case (xls, 59.1 KiB) Quality Metrics Level of Review Peer Reviewed Comment Temporal and Spatial Coverage Frequency Annually Time Period 2008-2035 License License Open Data Commons Public Domain Dedication and Licence (PDDL)

413

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

414

Electricity | Department of Energy  

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

or a multi-state regional average price reported by EIA. The latest gasoline pricing data is available on EIA's webpage. Find out more at www.energy.goveGallon.

<...

415

"Table A25 Average Prices of Selected Purchased Energy Sources by Census"  

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

Average Prices of Selected Purchased Energy Sources by Census" Average Prices of Selected Purchased Energy Sources by Census" " Region, Industry Group, and Selected Industries, 1991: Part 2" " (Estimates in Dollars per Million Btu)" ,,,,,,,,"RSE" "SIC"," "," ","Residual","Distillate"," "," "," ","Row" "Code(a)","Industry Groups and Industry","Electricity","Fuel Oil","Fuel Oil(b)","Natural Gas(c)","LPG","Coal","Factors" ,,"Total United States" ,"RSE Column Factors:",0.7,0.8,1,2.8,1,0.7 20,"Food and Kindred Products",15.789,2.854,6.064,2.697,7.596,1.433,4.5

416

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

417

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

418

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

419

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...

420

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...

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


421

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...

422

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...

423

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...

424

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...

425

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...

426

Regional-Scale Estimation of Electric Power and Power Plant CO2 Emissions Using Defense Meteorological Satellite Program Operational Linescan System Nighttime Satellite Data  

Science Journals Connector (OSTI)

For estimation, the relationship between Defense Meteorological Satellite Program Operational Linescan System (DMSP/OLS) annual nighttime stable light product (NSL) for 2006 and statistical data on power generation, power consumption, and power plant CO2 emissions in 10 electric power supply regions of Japan was investigated. ... There are similar linear correlations of electricity consumption for lighting and total electricity consumption at the regional (e.g., state and province) level, but possibly not for CO2 emissions because of regional concentrations of electricity from renewable energy and nuclear power plants, which produce low CO2 emissions. ...

Husi Letu; Takashi Y. Nakajima; Fumihiko Nishio

2014-04-24T23:59:59.000Z

427

Simulating the impact of pricing policies on residential water demand: a Southern France case study  

E-Print Network (OSTI)

, with an estimated price elasticity of -0.2, is not yet very responsive to price variation. A regional water model water pricing. Keywords: demand elasticity, France, water pricing, residential water demand, simulationSimulating the impact of pricing policies on residential water demand: a Southern France case study

Paris-Sud XI, Université de

428

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

429

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:

430

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"

431

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"

432

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

SciTech Connect

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

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

2012-01-01T23:59:59.000Z

433

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

434

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

435

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

436

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

437

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

438

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

439

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

440

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...

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


441

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

442

Direct, spectroscopic measurement of electric fields in a plasma-RF antenna interaction region in Tore Supra  

SciTech Connect

Balmer-series spectral line profiles of deuterium emission near a lower-hybrid (3.7 GHz) wave, high power (1-4 MW) launcher were measured with high-spectral resolution in the Tore Supra tokamak and fitted to an atomic physics model which includes both Zeeman and dynamic Stark effects. The magnetic field is static and the electric field is assumed to be monochromatic at 3.7 GHz. The determined strength and direction of the high-frequency electric field is found to be in good agreement with the results of a simulation that computes the propagation of these lower hybrid waves into the plasma in the region around the launch antenna and specifically in the region of estimated peak emission contributing to the measurement. This agreement indicates feasibility for the use of dynamic Stark effect spectroscopy to study interaction at the plasma antenna interactions in a fusion plasma environment. (C) 2013 Elsevier B. V. All rights reserved.

Klepper, C Christopher [ORNL] [ORNL; Hillis, Donald Lee [ORNL] [ORNL; Isler, Ralph C [ORNL] [ORNL; Hillairet, J. [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM)] [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM); Martin, E. H. [North Carolina State University] [North Carolina State University; Colas, L. [French Atomic Energy Commission (CEA), Cadarache, St. Paul lez Durance] [French Atomic Energy Commission (CEA), Cadarache, St. Paul lez Durance; Ekedahl, A. [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM)] [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM); Goniche, M. [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM)] [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM); Lotte, Ph. [French Atomic Energy Commission (CEA), Cadarache, St. Paul lez Durance] [French Atomic Energy Commission (CEA), Cadarache, St. Paul lez Durance; Colledani, G. [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM)] [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM); Martin, V. [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM)] [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM); Panayotis, Stephanie [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM)] [French Atomic Energy Commission (CEA), Institute for Magnetic Fusion Research (IRFM); Pegourie, B. [French Atomic Energy Commission (CEA), Cadarache, St. Paul lez Durance] [French Atomic Energy Commission (CEA), Cadarache, St. Paul lez Durance; Harris, Jeffrey H [ORNL] [ORNL

2013-01-01T23:59:59.000Z

443

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...

444

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

445

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

Highlights: January 2012 Highlights: January 2012 Warm temperatures across much of the U.S. led to lower retail sales of electricity during January 2012. Coal-fired generation decreased in every region of the United States when compared to January 2011. Coal stocks recovered due to decreased consumption this January compared to the same month of 2011. Key Indicators Jan 2012 % Change from Jan. 2011 Total Net Generation (Thousand MWh) 340,743 -6.4% Residential Retail Price (cents/kWh) 11.43 4.4% Retail Sales (Thousand MWh) 310,859 -6.5% Heating Degree-Days 751 -21.4% Natural Gas Price, Henry Hub ($/MMBtu) 2.75 -40.3% Coal Stocks (Thousand Tons) 181,621 10.2% Coal Consumption (Thousand Tons) 70,595 -21.7% Natural Gas Consumption (Mcf) 676,045 19.9% Nuclear Outages (MW) 9,567 2.1%

446

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

447

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.

448

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.

449

Alternative Fuel Price Report October 2006  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

October 2006 October 2006 CLEAN CITIES ALTERNATIVE FUEL PRICE REPORT OCTOBER 2006 Page 2 WELCOME! Welcome to the October 2006 issue of the Clean Cities Alternative Fuel Price Report, a quarterly report designed to keep you up to date on the prices of alternative fuels and conventional fuels in the U.S. This issue summarizes prices that were collected in the months of September and October 2006 from Clean Cities Coordinators, fuel providers, and other Clean Cities stakeholders. METHODOLOGY In order to collect price information for both alternative fuels and conventional fuels from areas across the country, Clean Cities Coordinators, fuel providers, DOE Regional Offices, and other key stakeholders were contacted to request that they provide prices for

450

Alternative Fuel Price Report - September 2005  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

September 2005 September 2005 CLEAN CITIES ALTERNATIVE FUEL PRICE REPORT SEPTEMBER 2005 Page 2 WELCOME! Welcome to the September issue of the Clean Cities Alternative Fuel Price Report, a quarterly report designed to keep you up to date on the prices of alternative fuels and conventional fuels in the U.S. This issue summarizes prices that were collected in the month of September 2005 from Clean Cities Coordinators, fuel providers, and other Clean Cities stakeholders. METHODOLOGY In order to collect price information for both alternative fuels and conventional fuels from areas across the country, Clean Cities Coordinators, fuel providers, DOE Regional Offices, and other key stakeholders were contacted to request that they provide prices for fuels in their area on a voluntary basis.

451

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

452

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

453

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

454

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

455

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

456

EIA - International Energy Outlook 2007-Low World Oil Price Projections  

Gasoline and Diesel Fuel Update (EIA)

Low World Oil Price Case Projections (1990-2030) Low World Oil Price Case Projections (1990-2030) International Energy Outlook 2007 Low World Oil Price Projections Tables (1990-2030) Formats Table Data Titles (1 to 12 complete) Low World Oil Price Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Low World Oil Price Projections Tables. Need help, contact the National Energy Information Center at 202-586-8800. Table E1 World Total Energy Consumption by Region, Low World Oil Price Case Table E1. World Total Energy Consumption by Region. Need help, contact the National Energy Information Center at 202-586-8800. Table E2 World Total Energy Consumption by Region and Fuel, Low World Oil Price Case Table E2. World Total Energy Consumption by Region and Fuel. Need help, contact the National Energy Information Center at 202-586-8800.

457

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

2" 2" " (Estimates in Trillion Btu)" " "," "," "," "," "," "," "," "," "," "," "," " " "," "," "," "," "," "," "," "," "," "," ","RSE" "SIC"," "," "," ","Residual","Distillate"," "," "," ","Coke"," ","Row" "Code(a)","Industry Groups and Industry","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","Natural Gas(d)","LPG","Coal","and Breeze","Other(e)","Factors"

458

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

E-Print Network (OSTI)

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

Anastasiadis, Anastasios

459

Average summer electric power bills expected to be lowest in four years  

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

summer electric power bills expected to be lowest in summer electric power bills expected to be lowest in four years The average U.S. household is expected to pay $395 for electricity this summer. That's down 2.5% from last year and the lowest residential summer power bill in four years, according to the new forecast from the U.S. Energy Information Administration. Lower electricity use to meet cooling demand this summer because of forecasted milder temperatures compared with last summer is expected to more than offset higher electricity prices. The result is lower power bills for most U.S. households during the June, July, and August period. However electricity use and prices vary by region. EIA expects residential power bills will be lower in all areas of the country... except for the West South Central region, which includes

460

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

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


461

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

462

The Alternative Fuel Price Report - May 10, 2002  

Alternative Fuels and Advanced Vehicles Data Center (EERE)

Central Atlantic Lower Atlantic Gulf Coast West Coast Rocky Mountain Midwest Map of U.S. Regions THE ALTERNATIVE FUEL PRICE REPORT Alternative Fuel Prices Across the Nation May 10, 2002 his is the sixth issue of the Clean Cities Alternative Fuel Price Report, a quarterly newsletter keeping you up to date on the price of alternative fuels in the U.S. and their relation to gasoline and diesel prices. This issue discusses prices that were gathered from Clean Cities coordinators and stakeholders during the weeks of April 15 and April 22, 2002, with comparisons to the prices in the previous Price Report, which were collected in February, 2002. Gasoline and Diesel Prices egular grade gasoline averaged $1.404 per gallon nationwide during the week of April

463

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.

464

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

465

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

466

" Electricity Generation by Census Region, Industry Group, and Selected"  

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

1" 1" " (Estimates in Btu or Physical Units)" " "," "," "," "," "," "," "," "," ","Coke"," "," " " "," "," "," ","Residual","Distillate","Natural Gas(d)"," ","Coal","and Breeze"," ","RSE" "SIC"," ","Total","Electricity(b)","Fuel Oil","Fuel Oil(c)","(billion","LPG","(1000","(1000","Other(e)","Row" "Code(a)","Industry Groups and Industry","(trillion Btu)","(million kWh)","(1000 bbls)","(1000 bbls)","cu ft)","(1000 bbls)","short tons)","short tons)","(trillion Btu)","Factors"

467

Virginia Gasoline Price Data  

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

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

468

Illinois Gasoline Price Data  

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

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

469

Oklahoma Gasoline Price Data  

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

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

470

Tennessee Gasoline Price Data  

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

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

471

Wisconsin Gasoline Price Data  

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

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

472

Maryland Gasoline Price Data  

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

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

473

Massachusetts Gasoline Price Data  

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

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

474

Ohio Gasoline Price Data  

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

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

475

Volumetric Hedging in Electricity Procurement Department of Industrial Engineering  

E-Print Network (OSTI)

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

Oren, Shmuel S.

476

State Volume Price Volume Price Volume Price Volume Price Volume Price  

Gasoline and Diesel Fuel Update (EIA)

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

477

Electric Power | OpenEI  

Open Energy Info (EERE)

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

478

OpenEI - Electric Power  

Open Energy Info (EERE)

AEO2011: Electric Power AEO2011: Electric Power Projections for EMM Region - United States http://en.openei.org/datasets/node/858 This dataset comes from the Energy Information Administration (EIA), and is part of the 2011 Annual Energy Outlook Report (AEO2011). This dataset is table 95, and contains only the reference case. The data is broken down into electric power sector, cumulative planned additions,cumulative unplanned additions,cumulative retirements, end-use sector, electricity sales, net energy for load, generation by fuel type and price by service category. License

Type of License: 

479

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

480

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

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


481

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

482

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

483

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

484

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

485

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

486

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

487

Electricity Monthly Update  

Gasoline and Diesel Fuel Update (EIA)

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

488

Sustainably Priced Energy Enterprise Development (SPEED) Goals | Department  

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

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

489

Electric Drive Vehicle Infrastructure Deployment  

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

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

490

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

E-Print Network (OSTI)

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

Faghih, Ali

2011-01-01T23:59:59.000Z

491

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

E-Print Network (OSTI)

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

Faghih, Ali

2011-01-01T23:59:59.000Z

492

The eGallon: How Much Cheaper Is It to Drive on Electricity? | Department  

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

The eGallon: How Much Cheaper Is It to Drive on Electricity? The eGallon: How Much Cheaper Is It to Drive on Electricity? The eGallon: How Much Cheaper Is It to Drive on Electricity? June 10, 2013 - 11:00pm Addthis eGallon: Compare the costs of driving with electricity What is eGallon? It is the cost of fueling a vehicle with electricity compared to a similar vehicle that runs on gasoline. Did you know? On average, it costs about 3 times less to drive an electric vehicle. Find out how much it costs to fuel an electric vehicle in your state regular gasoline 0 6 4 1 0 3 · 0 2 0 4 8 6 0 8 9 2 3 5 0 electric eGallon 0 4 1 7 2 3 3 · 0 4 2 0 4 6 0 8 5 9 1 5 0 Data and Methodology The eGallon price is calculated using the most recently available state by state residential electricity prices. The state gasoline price above is either the statewide average retail price or a multi-state regional average

493

eGallon and Electric Vehicle Sales: The Big Picture | Department of Energy  

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

eGallon and Electric Vehicle Sales: The Big Picture eGallon and Electric Vehicle Sales: The Big Picture eGallon and Electric Vehicle Sales: The Big Picture August 19, 2013 - 8:30am Addthis eGallon: Compare the costs of driving with electricity What is eGallon? It is the cost of fueling a vehicle with electricity compared to a similar vehicle that runs on gasoline. Did you know? On average, it costs about 3 times less to drive an electric vehicle. Find out how much it costs to fuel an electric vehicle in your state regular gasoline 0 6 4 1 0 3 · 0 2 0 4 8 6 0 8 9 2 3 5 0 electric eGallon 0 4 1 7 2 3 3 · 0 4 2 0 4 6 0 8 5 9 1 5 0 Data and Methodology The eGallon price is calculated using the most recently available state by state residential electricity prices. The state gasoline price above is either the statewide average retail price or a multi-state regional average

494

Natural Gas Spot Prices:  

Gasoline and Diesel Fuel Update (EIA)

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

495

Residential propane price  

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

propane price decrease The average retail price for propane is 2.37 per gallon, down 1.3 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

496

Residential propane price  

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

propane price decreases The average retail price for propane is 2.35 per gallon, down 1.1 cents from last week, based on the residential heating fuel survey by the U.S. Energy...

497

Residential propane price  

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

propane price decreases The average retail price for propane is 2.36 per gallon, down 1 cent from last week, based on the residential heating fuel survey by the U.S. Energy...

498

The Minimum Price Contract  

E-Print Network (OSTI)

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

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

2008-10-17T23:59:59.000Z

499

Residential propane prices increase  

Annual Energy Outlook 2012 (EIA)

propane prices increase The average retail price for propane rose 3.2 cents from a week ago to 2.86 per gallon. That's up 59.3 cents from a year ago, based on the residential...

500

Residential propane prices decreases  

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

5, 2014 Residential propane prices decreases The average retail price for propane fell to 3.89 per gallon, that's down 11.9 cents from a week ago, based on the residential heating...